CN104460602A - Method and system for detecting safety of industrial process control technological process - Google Patents
Method and system for detecting safety of industrial process control technological process Download PDFInfo
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- CN104460602A CN104460602A CN201410624515.9A CN201410624515A CN104460602A CN 104460602 A CN104460602 A CN 104460602A CN 201410624515 A CN201410624515 A CN 201410624515A CN 104460602 A CN104460602 A CN 104460602A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a method and system for detecting the safety of the industrial process control technological process. The method includes the steps that process control data flows of a target industrial process control system are acquired and analyzed; state values and time stamps of safety monitoring points in the analyzed process control data flow are extracted; according to the state values and the time stamps of the safety monitoring points, a trend curve of the safety monitoring points is generated; real-time process control data flows of the target industrial process control system are acquired and analyzed; state values and time stamps of safety monitoring points in the analyzed real-time process control data flows are extracted; according to the state values and the time stamps of the safety monitoring points in the real-time process control data flows, a trend curve of the real-time safety monitoring points is generated; the trend curve of the safety monitoring points is compared with the trend curve of the real-time safety monitoring points, whether the target industrial process control system is in a safety state or not is judged, and if not, an alarm is given. Process control interactive data flows are combined with a specific control law for content depth detection.
Description
Technical field
The present invention relates to industrial process control system security technology area, particularly relate to a kind of detection method and system thereof of industrial stokehold technological process safety.
Background technology
Along with the develop rapidly of China's modernization of industry, the degree of industrial automation is also more and more higher, and industrial control system is also more and more perfect.
Industrial process control system is widely used in the important production fields such as petrochemical industry, metallurgy, pharmacy.In recent years along with the development in industrial control system informationization, networking direction, information security becomes the new research theme of industrial control field one gradually, constantly there is new attack mode for industrial control system physical entity simultaneously, make industrial control system safety from traditional functional safety, expand to network security, and extend to production process technology safety further.
The safety of technique has important impact to the quality of process control product (as oil gas, iron and steel, medicine etc.), its destruction is long-term, hidden, for the attack of technique, cannot detect and solve from the angle of Network Communicate Security merely, need to carry out content depth detection to process control interaction data stream in conjunction with its concrete control law.Lack this type of safety detection means and system at present.
Therefore how realizing carrying out content depth detection to process control interaction data stream in conjunction with its concrete control law is problem demanding prompt solution.
Summary of the invention
The object of this invention is to provide a kind of detection method and system thereof of industrial stokehold technological process safety, achieve and in conjunction with its concrete control law, content depth detection is carried out to process control interaction data stream.
For solving the problems of the technologies described above, the invention provides a kind of detection method of industrial stokehold technological process safety, comprising:
Obtain and resolve the process control data streams of target industrial process control system;
Extract state value and the timestamp of the safety monitoring point in the process control data streams after described parsing;
According to state value and the timestamp of described safety monitoring point, what generate safety monitoring point walks power curve;
Obtain and resolve the real time planning data stream of described target industrial process control system;
Extract state value and the timestamp of the safety monitoring point in the real time planning data stream after described parsing;
According to state value and the timestamp of the safety monitoring point in described real time planning data stream, what generate Real-time security monitoring point walks power curve;
Safety monitoring point described in comparison walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition, if not, then alarm.
Preferably, safety monitoring point described in described comparison walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition, comprising:
Safety monitoring point described in segmentation comparison walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors;
Judge described cumulative errors whether within the scope of the margin of safety preset, determine that whether described safety monitoring point is in a safe condition;
The corresponding relation of foundation preset security monitoring point and technique sub-process, calculates the safe condition situation of the technique sub-process corresponding with described safety monitoring point.
Preferably, the determination mode of the corresponding relation of described safety monitoring point and technique sub-process comprises:
Obtain the user program of target industrial process control system;
According to the classification of control law technique, the main flow dividing described user program is multiple technique sub-processes;
Respectively analysis on configuration template matches is carried out to described multiple technique sub-process, extract the parametric variable surveyed in described multiple technique sub-process;
Determine the described safety monitoring point can surveyed in parametric variable, set up the corresponding relation of described safety monitoring point and technique sub-process.
Preferably, describedly carry out analysis on configuration template matches to described multiple technique sub-process respectively, the parametric variable surveyed extracted in described multiple technique sub-process comprises:
Analyze masterplate by user program, the program corresponding to each described control procedure technique sub-process is analyzed;
By the feature of each described control procedure technique sub-process obtained after analyzing, analyze with described user program the feature that masterplate defines and mate;
If the match is successful, then described feature is defined as the parametric variable that can survey.
Preferably, safety monitoring point described in described segmentation comparison walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors and specifically comprise:
Segmentation describes the feature walking the variation tendency of power curve of described safety monitoring point;
Segmentation describes the feature walking the variation tendency of power curve of described Real-time security monitoring point;
The feature walking the variation tendency of power curve of safety monitoring point described in segmentation comparison and the feature walking the variation tendency of power curve of described Real-time security monitoring point;
Result according to comparison calculates cumulative errors.
Preferably, segmentation describe described safety monitoring point walk the feature of the variation tendency of power curve after, comprise further: set up historical data stream feature experience collection, by the feature walking the variation tendency of power curve of described safety monitoring point, gather and send into described historical data stream feature experience collection.
Preferably, described judge that whether target industrial process control system in a safe condition after, comprise further:
If judge that target industrial process control system is in a safe condition, then the feature of the tendency plots changes of described Real-time security monitoring point is sent into described historical data stream feature experience collection.
Preferably, described alarm comprises: generate and outputting alarm information.Present invention also offers a kind of detection system of industrial stokehold technological process safety, comprising:
Distributed process data flow acquisition device and process control process safety detection platform; Wherein:
Described distributed process data flow acquisition device, for obtaining and resolving process control data streams and the real time planning data stream of target industrial process control system;
Described process control process safety detection platform comprises:
The process data stream extraction module be connected with described distributed process data flow acquisition device, for extracting state value and the timestamp of the safety monitoring point in the real time planning data stream after the process control data streams after described parsing and described parsing respectively;
The detection module be connected with described process data stream extraction module, for according to the state value of the safety monitoring point in the process control data streams after described parsing and timestamp, what generate safety monitoring point walks power curve; And according to the state value of the safety monitoring point in described real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve; Safety monitoring point described in comparison walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition;
For described detection module, the alarm module be connected with described detection module, judges that target industrial process control system does not have in a safe condition, alarm.
Preferably, described distributed process data flow acquisition device comprises:
Process control stream hardware interface module, for transmitting the process control data streams and real time planning data stream that obtain from each interface industrial process control system;
The protocol adaptation driver module be connected with described process control stream hardware interface module, for receive and transmit described process control stream hardware interface module transmission process control data streams and real time planning data stream;
The data resolution module be connected with described protocol adaptation driver module, for obtaining process control data streams and the real time planning data stream of the target industrial process control system of protocol adaptation driver module transmission, and resolve described process control data streams and real time planning data stream.
Preferably, described detection module comprises: detecting and alarm and mapping table memory module; Wherein:
Described mapping table memory module, for the corresponding relation of storage security monitoring point and technique sub-process;
Described detecting and alarm is connected with described mapping table memory module, for safety monitoring point described in segmentation comparison walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors, and judge described cumulative errors whether within the scope of the margin of safety preset, determine that whether described safety monitoring point is in a safe condition; Again according to the corresponding relation of the safety monitoring point stored in described mapping table memory module and technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with described safety monitoring point.
Preferably, described process control process safety detection platform also comprises:
User UI, for receiving the user program of the target industrial process control system of user's input;
The process typing parsing module be connected with described user UI, for the user program of the described target industrial process control system of described acquisition that user UI receives, and according to the classification of control law technique, the main flow dividing described user program is multiple technique sub-processes, respectively analysis on configuration template matches is carried out to described multiple technique sub-process, extract the parametric variable surveyed in described multiple technique sub-process;
The generation mapping block be connected with described process typing parsing module, for determining the described safety monitoring point can surveyed in parametric variable, sets up the corresponding relation of described safety monitoring point and technique sub-process.
Preferably, described process typing parsing module comprises:
User program analyzes masterplate, analyzes for the program corresponding to each described control procedure technique sub-process, and the feature of each described control procedure technique sub-process will obtained after analyzing, and analyzes the feature that masterplate defines mate with described user program;
If the match is successful, then described user program analyzes the parametric variable that described feature is defined as surveying by masterplate.
Preferably, safety monitoring point described in described detecting and alarm segmentation comparison walk power curve and Real-time security monitoring point walk power curve, when calculating cumulative errors, specifically for:
Segmentation describes the feature walking the variation tendency of power curve of described safety monitoring point;
Segmentation describes the feature walking the variation tendency of power curve of described Real-time security monitoring point;
The feature walking the variation tendency of power curve of safety monitoring point described in segmentation comparison and the feature walking the variation tendency of power curve of described Real-time security monitoring point;
Result according to comparison calculates cumulative errors.
Preferably, described detection module comprises further:
The historical data stream feature experience collection memory module be connected with described detecting and alarm, for obtaining and storing the feature walking the variation tendency of power curve of described safety monitoring point.
Preferably, described alarm module comprises:
First alarm module, for generate and user UI to described detection system sends a warning message.
Preferably, described detection components is connected with the user UI of described detection system, for send to the user UI of described detection system described safety monitoring point walk power curve and described Real-time security monitoring point walk power curve;
The user UI of described detection system for export described safety monitoring point walk power curve and described Real-time security monitoring point walk power curve.
Preferably, described distributed process data flow acquisition device also comprises:
The configuration be connected with described industrial stokehold process safety detection platform and communication interface modules, for obtaining the configuration file that described industrial stokehold process safety detection platform sends, described protocol adaptation driver module, data resolution module and process control stream hardware interface module are numbered, and the interface of described protocol adaptation driver module, data resolution module and process control stream hardware interface module is configured.
Preferably, described distributed process data flow acquisition device comprises further:
The response be connected with described alarm module links expansion connection module, for when described alarm module alarm, sets up and links with the response of the safety protection equipment in system, make target industrial process control system be in off working state.
The invention provides a kind of detection method and system thereof of industrial stokehold technological process safety, also analyzed respectively by the process control data streams and real time planning data stream that obtain the process control of target industrial process control system, and then obtain state value and the timestamp of safety monitoring point and Real-time security monitoring point, and draw walking power curve and walking power curve in real time of safety monitoring point; By the power curve of walking walking power curve and Real-time security monitoring point of safety monitoring point is combined and compares, judge target industrial process control system safe condition now, achieve in this way and in conjunction with its concrete control law, content depth detection is carried out to process control interaction data stream.
Accompanying drawing explanation
The operational flowchart of Fig. 1 detection method of industrial stokehold technological process safety disclosed in the embodiment of the present invention;
The operational flowchart of Fig. 2 detection method of industrial stokehold technological process safety disclosed in another embodiment of the present invention;
The operational flowchart of Fig. 3 detection method of industrial stokehold technological process safety disclosed in another embodiment of the present invention;
The operational flowchart of Fig. 4 detection method of industrial stokehold technological process safety disclosed in another embodiment of the present invention;
The system construction drawing of Fig. 5 detection system of industrial stokehold technological process safety disclosed in another embodiment of the present invention;
The system construction drawing of Fig. 6 detection system of industrial stokehold technological process safety disclosed in another embodiment of the present invention;
The system construction drawing of Fig. 7 detection system of industrial stokehold technological process safety disclosed in another embodiment of the present invention.
Embodiment
Core of the present invention is to provide a kind of detection method and system thereof of industrial stokehold technological process safety, by obtaining data stream and the real time planning data stream of the process control of target industrial process control system respectively, draw walking power curve and walking power curve in real time of safety monitoring point; By walking power curve and walking power curve in real time and compare safety monitoring point, judge target industrial process control system whether safety.
In order to make those skilled in the art person understand the present invention program better, below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
Embodiments of the invention disclose a kind of detection method of industrial stokehold technological process safety, and see Fig. 1, the detection method of the industrial stokehold technological process safety in the present embodiment comprises:
S101, acquisition resolve the process control data streams of target industrial process control system.
Concrete, the process control data streams of the target industrial process control system of acquisition, namely obtains mutual message from target industrial process control system.
If above-mentioned mutual message is Ethernet message, then first carries out the MAC layer of packet, IP layer and TCP/UDP layer data according to ICP/IP protocol stack and resolve, extract application layer data, and resolve according to application layer protocol form masterplate; If above-mentioned mutual message is bus network message, then directly to resolve according to field bus protocol.
After the data obtained being resolved by above-mentioned agreement, can analytically after obtain the status data of all I/O points of target industrial process control system, i.e. all state values of I/O point and the sampling time of this state value in data.
S102, the state value extracting the safety monitoring point in the process control data streams after resolving and timestamp.
Wherein, the controling parameter that it is possible to cause target industrial process control system material impact that above-mentioned safety monitoring point specifically refers to, such as: temperature, pressure, flow, the controling parameter such as concentration; The timestamp of safety monitoring point is the acquisition time of the state value of safety monitoring point, i.e. the sampling time of the state value of safety monitoring point.
The state value of S103, foundation safety monitoring point and timestamp, what generate safety monitoring point walks power curve.
Concrete, with the state value of safety monitoring point for the longitudinal axis, with the sampling time of the state value of safety monitoring point for transverse axis, what generate safety monitoring point in a coordinate system walks power curve.
S104, acquisition resolve the real time planning data stream of target industrial process control system.
Concrete, the present invention when the initial deployment of target industrial process control system, neither one can the historical data of reference as the foundation of comparison, therefore in S101, acquisition process control data stream is historical data; And for obtaining the real time planning data stream of target industrial process control system in S104, namely obtain current just in the real time data of monitored target industrial process control system, and the resolving of this real time planning data stream is identical with the resolving of S101, repeat no more herein.
S105, the state value extracting the safety monitoring point in the real time planning data stream after resolving and timestamp.
The state value of the safety monitoring point in S106, foundation real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve.
S107, comparison safety monitoring point walk power curve and Real-time security monitoring point walk power curve.
S108, judge that whether target industrial process control system is in a safe condition;
If judge that target industrial process control system is not in a safe condition, then perform S109, alarm.
Concrete, above-mentioned comparison safety monitoring point walk power curve and Real-time security monitoring point walk power curve, that each point walked on power curve walking power curve and Real-time security monitoring point of safety monitoring point is compared, namely the state value of each identical sampling time upper correspondence is compared and the error of calculation, judge this error whether within the scope of the margin of safety preset, namely whether in the error allowed band preset; If, then illustrative system is in a safe condition, if not, then illustrative system is in unsafe condition.
Further, alarm is specifically as follows and generates and outputting alarm information.
Concrete, warning information is the danger classes that target industrial process control system is in this moment, user can process danger at once according to this warning information, ensure the safety of target industrial process control system, certainly this warning information is not limited in this form, as long as can realize the object of the invention.
In sum, in the detection method of industrial stokehold technological process safety disclosed in the embodiment of the present invention, by obtaining and resolving process control data streams and the real time planning data stream of target industrial process control system, and analyze respectively, obtain state value and the timestamp of safety monitoring point and Real-time security monitoring point, and draw safety monitoring point walk power curve and Real-time security monitoring point walk power curve; By the safety monitoring obtained point walked power curve and walks power curve in real time to combine and compare, safety monitoring point state is now analyzed, judge target industrial process control system whether safety, if target industrial process control system is not in a safe condition, then alarm.Achieve and in conjunction with its concrete control law, content depth detection is carried out to process control interaction data stream.
Another embodiment of the present invention discloses a kind of detection method of industrial stokehold technological process safety, see Fig. 2, comprises step:
S201, acquisition resolve the process control data streams of target industrial process control system.
S202, the state value extracting the safety monitoring point in the process control data streams after resolving and timestamp.
The state value of S203, foundation safety monitoring point and timestamp, what generate safety monitoring point walks power curve.
S204, acquisition resolve the real time planning data stream of target industrial process control system.
S205, the state value extracting the safety monitoring point in the real time planning data stream after resolving and timestamp.
The state value of the safety monitoring point in S206, foundation real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve.
S207, segmentation comparison safety monitoring point walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors.
Concrete, this cumulative errors the state value that safety monitoring point is corresponding with each sampling time of Real-time security monitoring point is carried out do difference to carry out the error of calculation, and then carry out the state value corresponding each sampling time doing the error amount that difference obtains and sue for peace, and then obtain cumulative errors.
Such as: sampling instant 1, safety monitoring point 1 is X1 with the error of Real-time security monitoring point 1 state value; Sampling instant 2, safety monitoring point 1 is X2 with the error of Real-time security monitoring point 1 state value; Sampling instant N, safety monitoring point 1 is XN with the error of Real-time security monitoring point 1 state value, then this safety monitoring point 1 is X1+X2+ with the cumulative errors of Real-time security monitoring point 1 ... + XN.
S208, judge cumulative errors whether within the scope of the margin of safety preset, determine that whether safety monitoring point is in a safe condition.
Judge cumulative errors whether within the scope of the margin of safety preset such as: be set in advance in each sampling instant, safety monitoring point 1 is X with the error of Real-time security monitoring point 1, then safety monitoring point 1 is N × X with the margin of safety scope of the cumulative errors of Real-time security monitoring point 1; And above-mentioned safety monitoring point 1 and the cumulative actual error of Real-time security monitoring point 1 are X1+X2+ ... + XN; Therefore with actual cumulative errors, the cumulative errors by relatively presetting judge that whether safety monitoring point 1 is in a safe condition.
Concrete, margin of safety scope can be set according to actual conditions.
S209, corresponding relation according to preset security monitoring point and technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with safety monitoring point.
Concrete, the quantity of above-mentioned safety monitoring point is not limited only to one, and each safety monitoring point has corresponding technique sub-process, and there is a lot of technique sub-process in target industrial process control system, and therefore safety monitoring point is also to there being a lot of.
S210, judge that whether target industrial process control system is in a safe condition according to the safe condition of technique sub-process corresponding to the safety monitoring point that above-mentioned safety monitoring point is corresponding;
If judge that target industrial process control system is not in a safe condition, then perform S211, alarm.
Further, in another embodiment of the invention, the determination mode of the corresponding relation of safety monitoring point and technique sub-process comprises:
Obtain the user program of target industrial process control system.
Wherein, above-mentioned user program obtains from the control law configuration info target industrial process control system configuration info.
According to the classification of control law technique, the main flow dividing user program is multiple technique sub-processes.
Concrete, multiple technique sub-process is comprised in the main flow of this user program, each technique sub-process is responsible for different physical control flow process, each physical control flow process adopts different control law technique and corresponding different program codes, and program code separates, therefore according to the classification of control law technique, the main flow of user program can be divided into multiple technique sub-process.
Respectively analysis on configuration template matches is carried out to multiple technique sub-process, extract the parametric variable surveyed in multiple technique sub-process.
Determine the safety monitoring point can surveyed in parametric variable, set up the corresponding relation of safety monitoring point and technique sub-process.
Determine that the safety monitoring point can surveyed in parametric variable is specially, determine and choose the parametric variable surveyed target industrial process control system being caused to material impact, as indexs such as temperature, pressure, concentration, therefore the above-mentioned corresponding relation setting up safety monitoring point and technique sub-process is, and sets up and causes the parametric variable surveyed of material impact and the corresponding relation of technique sub-process to target industrial process control system.
But be not restricted to herein set up the parametric variable surveyed of material impact and the corresponding relation of technique sub-process are caused to target industrial process control system, the corresponding relation of all parametric variables surveyed and technique sub-process will be set up herein, owing to causing the impact of the parametric variable surveyed of material impact on target industrial process control system larger on target industrial process control system, so preferentially set up, preferentially detect when detection the parametric variable surveyed target industrial process control system being caused to material impact, namely preferentially detect the data of safety monitoring point.
Further, in another embodiment of the present invention, carry out analysis on configuration template matches respectively to multiple technique sub-process, the parametric variable surveyed extracted in described multiple technique sub-process comprises:
Analyze masterplate by user program, the program corresponding to each control procedure technique sub-process is analyzed;
By the feature of each control procedure technique sub-process obtained after analyzing, analyze with user program the feature that masterplate defines and mate;
If the match is successful, then feature is defined as the parametric variable that can survey.
Concrete, control procedure technique sub-process is also one section of user program code, masterplate is analyzed by user program, namely the feature of the statements such as the variable-definition in user program, assignment, conditional branching is comprised, the program code of control procedure technique sub-process is mated with these predefined features, if the match is successful, can determine that this feature is the parametric variable that can survey.
Another embodiment of the present invention discloses a kind of detection method of industrial stokehold technological process safety, see Fig. 3, comprising:
S301, acquisition resolve the process control data streams of target industrial process control system.
S302, the state value extracting the safety monitoring point in the process control data streams after resolving and timestamp.
The state value of S303, foundation safety monitoring point and timestamp, what generate safety monitoring point walks power curve.
S304, acquisition resolve the real time planning data stream of target industrial process control system.
S305, the state value extracting the safety monitoring point in the real time planning data stream after resolving and timestamp.The state value of the safety monitoring point in S306, foundation real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve.
S307, segmentation describe the feature walking the variation tendency of power curve of safety monitoring point.
S308, segmentation describe the feature walking the variation tendency of power curve of Real-time security monitoring point.
S309, the feature walking the variation tendency of power curve of segmentation comparison safety monitoring point and the feature walking the variation tendency of power curve of Real-time security monitoring point, the result according to comparison calculates cumulative errors.
Concrete, in the present embodiment, specifically can comprising with the feature walking the variation tendency of power curve of Real-time security monitoring point of safety monitoring point, walk the concave vertex of power curve, concave crown point, flex point, increase progressively interval, interval of successively decreasing, the feature such as between acceleration area and deceleration area.
S310, judge cumulative errors whether within the scope of the margin of safety preset, determine that whether safety monitoring point is in a safe condition.
S311, corresponding relation according to preset security monitoring point and technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with safety monitoring point.
S312, judge that whether target industrial process control system is in a safe condition according to the safe condition of technique sub-process corresponding to the safety monitoring point that above-mentioned safety monitoring point is corresponding.
If judge that target industrial process control system is not in a safe condition, then perform S313, alarm.
Another embodiment of the present invention discloses a kind of detection method of industrial stokehold technological process safety, see Fig. 4, comprising:
S401, acquisition resolve the process control data streams of target industrial process control system.
S402, the state value extracting the safety monitoring point in the process control data streams after resolving and timestamp.
The state value of S403, foundation safety monitoring point and timestamp, what generate safety monitoring point walks power curve.
S404, acquisition resolve the real time planning data stream of target industrial process control system.
S405, the state value extracting the safety monitoring point in the real time planning data stream after resolving and timestamp.
The state value of the safety monitoring point in S406, foundation real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve.
S407, segmentation describe the feature walking the variation tendency of power curve of safety monitoring point, set up historical data stream feature experience collection, by the feature walking the variation tendency of power curve of safety monitoring point, gather and send into historical data stream feature experience collection.
S408, segmentation describe the feature walking the variation tendency of power curve of Real-time security monitoring point.
S409, the feature walking the variation tendency of power curve of segmentation comparison safety monitoring point and the feature walking the variation tendency of power curve of Real-time security monitoring point, the result according to comparison calculates cumulative errors.
Concrete, segmentation describe Real-time security monitoring point walk the variation tendency of power curve after, first concentrate the feature walking the variation tendency of power curve extracting safety monitoring point from historical data stream feature experience, then carry out segmentation contrast.
S410, judge above-mentioned cumulative errors whether within the scope of the margin of safety preset, determine that whether safety monitoring point is in a safe condition.
S411, corresponding relation according to preset security monitoring point and technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with safety monitoring point.
S412, judge that whether target industrial process control system is in a safe condition according to the safe condition of technique sub-process corresponding to the safety monitoring point that above-mentioned safety monitoring point is corresponding;
If judge that target industrial process control system is not in a safe condition, then perform S413, alarm.
Further, in another embodiment of the present invention, after judging that whether target industrial process control system is in a safe condition, if judge that target industrial process control system is in a safe condition, then the feature walking the variation tendency of power curve of Real-time security monitoring point is sent into historical data stream feature experience collection, historical data stream feature experience collection has the function of self study, and under safe condition, the feature walking the variation tendency of power curve of Real-time security monitoring point can allow the data of historical data stream feature experience integrated data store more perfect.
In addition, upper once target industrial process control system is detected time, only need obtain and resolve real time planning data stream, according to state value and the timestamp of Real-time security monitoring point, what obtain Real-time security monitoring point walks power curve, segmentation describe Real-time security monitoring point walk the feature of the variation tendency of power curve after, directly the feature walking the variation tendency of power curve extracting safety monitoring point is concentrated to carry out segmentation comparison from historical data stream feature experience, without the need to obtaining again and resolving the process control data streams of target industrial process control system.
In sum, the detection method of industrial stokehold technological process safety disclosed by the invention, according to the parametric variable surveyed of the user program determination technique sub-process in configuration info in target industrial process control system and technique sub-process, and using the parametric variable surveyed large for the impact of target industrial process control system as safety monitoring point.
By obtaining and resolving the process control data streams of target industrial process control system, obtain the sampling time that safety monitoring point sampling value and sampled value obtain, and draw safety monitoring point walk power curve.
By obtaining and resolving the real time planning data stream of target industrial process control system, obtain the sampling time that Real-time security monitoring point sampling value and sampled value obtain, that draws Real-time security monitoring point walks power curve.
Segmentation describes the feature walking the variation tendency of power curve of safety monitoring point, and sets up historical data stream feature experience collection, the feature walking the variation tendency of power curve of safety monitoring point is gathered and is sent to historical data stream feature experience collection.Segmentation describe Real-time security monitoring point walk the feature of the variation tendency of power curve after, concentrate the feature walking the variation tendency of power curve of extraction safety monitoring point from historical data stream feature experience and carry out segmentation comparison, then the data obtained after segmentation comparison being used for calculate cumulative errors.
And judge whether this cumulative errors exceedes default margin of safety scope, and then determine the safe condition of safety monitoring point, determine the safe condition of the technique sub-process that safety monitoring point is corresponding simultaneously, thus the safe condition of target industrial process control system can be judged, if target industrial process control system is not in a safe condition, then alarm.
Therefore, achieve in conjunction with its concrete control law, content depth detection is carried out to process control interaction data stream.
Another embodiment of the present invention discloses a kind of detection system of industrial stokehold technological process safety, see Fig. 5, comprising:
Distributed process data flow acquisition device 101 and process control process safety detection platform 102; Wherein:
Distributed process data flow acquisition device 101, for obtaining and resolving process control data streams and the real time planning data stream of target industrial process control system.
Process control process safety detection platform 102 comprises:
The process data stream extraction module 103 be connected with distributed process data flow acquisition device 101, for extracting state value and timestamp, the i.e. state value of safety monitoring point and the sampling time of this state value of the safety monitoring point in the process control data streams after parsing and the real time planning data stream after resolving respectively.
The detection module 104 be connected with process data stream extraction module 103, the state value of the safety monitoring point in the process control data streams after resolving for foundation and timestamp, what generate safety monitoring point walks power curve; And according to the state value of the safety monitoring point in real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve; Comparison safety monitoring point walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition.
For detection module 104, the alarm module 105 be connected with detection module 104, judges that target industrial process control system does not have in a safe condition, alarm.
In the detection system of industrial stokehold technological process safety disclosed in the present embodiment, by distributed process data flow acquisition device 101, the process control data streams and the real time planning data stream that obtain target industrial process control system are also resolved respectively; Process data stream extraction module 103 obtains state value and the timestamp of safety monitoring point and Real-time security monitoring point; Detection module 104 generate safety monitoring point walk power curve and Real-time security monitoring point walk power curve, and comparison safety monitoring point walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system is in a safe condition, if it is not in a safe condition to judge to obtain target industrial process control system, then detection module 104 notifies that alarm module 105 carries out alarm, achieves and carries out content depth detection to process control interaction data stream in conjunction with its concrete control law.
It should be noted that, in the detection system of industrial stokehold technological process safety disclosed in the present embodiment, the specific works process of all parts refers to the embodiment of corresponding diagram 1, repeats no more herein.
Another embodiment of the present invention discloses a kind of detection system of industrial stokehold technological process safety, see Fig. 6, the detection system of the industrial stokehold technological process safety in the present embodiment is except comprising process control process safety detection platform 102, and distributed process data flow acquisition device 101 comprises:
Process control stream hardware interface module 106, for transmitting the process control data streams and real time planning data stream that obtain from each interface industrial process control system.
Concrete, each interface in industrial process control system comprises polymorphic type field-bus interface, Industrial Ethernet interface etc.
The protocol adaptation driver module 107 be connected with process control stream hardware interface module 106, for receiving and the process control data streams of transmitting procedure control flow check hardware interface module 106 transmission and real time planning data stream; This protocol adaptation driver module 107 can provide the driving of said process control flow check hardware interface module 106, thus drive process control stream hardware interface module 106 gatherer process control data stream and real time planning data stream, and be transferred to protocol adaptation driver module 107.
The data resolution module 108 be connected with protocol adaptation driver module 107, for obtaining process control data streams and the real time planning data stream of the target industrial process control system that protocol adaptation driver module 107 transmits, and resolving control data stream and real time planning data stream.
Further, see also Fig. 6, distributed process data flow acquisition device 101 also comprises:
The configuration be connected with industrial stokehold process safety detection platform 102 and communication interface modules 109, for obtaining the configuration file that industrial stokehold process safety detection platform 102 sends, protocol adaptation driver module 107, data resolution module 108 and process control stream hardware interface module 106 are numbered, and the interface of protocol adaptation driver module 107, data resolution module 108 and process control stream hardware interface module 106 is configured, and by safety monitoring point and type and the quantity that can survey parametric variable, acquisition protocols is configured.
Further, see also Fig. 6, distributed process data flow acquisition device also comprises:
The response be connected with alarm module links expansion connection module 110, for when alarm module 105 alarm, sets up and links with the response of the safety protection equipment in system, make target industrial process control system be in off working state.
It should be noted that, in the detection system of industrial stokehold technological process safety disclosed in the present embodiment, the specific works process of all parts refers to the embodiment of corresponding diagram 1, repeats no more herein.
Another embodiment of the present invention discloses a kind of detection system of industrial stokehold technological process safety, see Fig. 7, comprise distributed process data flow acquisition device 101 and process control process safety detection platform 102, wherein, process control process safety detection platform 102 process data stream extraction module 103, detection module 104 and alarm module 105, process control process safety detection platform 102 also comprises:
User UI111, for receiving the user program of the target industrial process control system of user's input.
The process typing parsing module 112 be connected with user UI111, for the user program of the acquisition target industrial process control system that user UI11 receives, and according to the classification of control law technique, the main flow dividing user program is multiple technique sub-processes, respectively analysis on configuration template matches is carried out to multiple technique sub-process, extract the parametric variable surveyed in multiple technique sub-process.
Concrete, user UI111 obtains the configuration info of target industrial process control system, configuration info comprises hardware configuration information and control law configuration info, and hardware configuration information comprises: the information such as controller type, address information, desired signal module, functional module, Communications Processor Module model, quantity and configuration parameter; Control law configuration info comprises: the information such as programming language, program structure, functional block, pa-rameter symbols, variable and user program.
User UI111 is connected with configuration and communication interface modules 109 further, for above-mentioned hardware configuration information generating configuration file being sent to configuration and communication interface 109 module, configuration and communication interface modules are configured the module in distributed process data flow acquisition device according to the configuration file received again.
The generation mapping block 113 be connected with process typing parsing module 112, for determining the safety monitoring point can surveyed in parametric variable, sets up the corresponding relation of safety monitoring point and technique sub-process.
Further, also comprise in said process technique typing parsing module 112:
User program analyzes masterplate, analyzes for the program corresponding to each control procedure technique sub-process, and the feature of each control procedure technique sub-process will obtained after analyzing, and analyzes the feature that masterplate defines mate with user program;
If the match is successful, then user program analyzes the parametric variable that above-mentioned feature is defined as surveying by masterplate.
Further, see also Fig. 7, specifically comprise in above-mentioned detection module 104:
Detecting and alarm 114 and mapping table memory module 115; Wherein:
Mapping table memory module 115, for the corresponding relation of storage security monitoring point and technique sub-process.
Detecting and alarm 114 is connected with mapping table memory module 115, for segmentation comparison safety monitoring point walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors, and judge cumulative errors whether within the scope of the margin of safety preset, determine that whether safety monitoring point is in a safe condition; The safety monitoring point stored in foundation mapping table memory module again and the corresponding relation of technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with safety monitoring point.
Further, see also Fig. 7, above-mentioned detection module 104 also comprises:
The historical data stream feature experience collection memory module 116 be connected with detecting and alarm 114, for obtaining and the feature walking the variation tendency of power curve of storage security monitoring point.
Further, above-mentioned detection module 104 is connected with user UI111, for send to user UI111 safety monitoring point walk power curve and Real-time security monitoring point walk power curve, user UI111 output safety monitoring point walk power curve and Real-time security monitoring point walk power curve, user will walk more intuitively according to display on user UI the state that power curve understands current system.
Further, above-mentioned alarm module 105 comprises:
First alarm module, for generate and user UI to detection system sends a warning message, just can process for current alarm after user UI display alarm information accordingly.
In addition, it should be noted that, the user UI111 of detection system, process typing parsing module 112, generation mapping block 113, process data stream extraction module 103, alarm module 105 and data resolution module 108 are all connected with data stream buffer passage, this data stream buffer passage is used for, to user UI111, process typing parsing module 112, the interaction data of generation between mapping block 113, process data stream extraction module 103, alarm module 105 and data resolution module 108, carrying out Data dissemination, data dump, data buffer storage.
In sum, the detection system of industrial stokehold technological process safety disclosed by the invention, first by the process typing parsing module 112 in process control process safety detection platform 102, obtain from user UI111 and resolve the user program in target industrial process control system, the parametric variable surveyed in extraction process sub-process.
Generate mapping block 113, according to determining safety monitoring point in the above-mentioned parametric variable surveyed, set up the corresponding relation of safety monitoring point and technique sub-process, and the corresponding relation of the safety monitoring of above-mentioned foundation point and technique sub-process is sent to the mapping table memory module 114 in detection module 104.
Protocol adaptation driver module 107 in distributed process data flow acquisition device 101, by process control stream hardware interface module 106, obtain the process control data streams of target industrial process control system and be transferred to data resolution module 108, data resolution module 108 is analyzed this process control data streams.
Process data stream extraction module 103 according to the information generating in mapping block 113 the safety monitoring point determined, in the process control data streams after extraction and analysis, the state value of safety monitoring point and timestamp, and be sent to detection module 104.
Detecting and alarm 114 in detection module 104 is according to the state value of safety monitoring point and timestamp, that draws safety monitoring point walks power curve, and segmentation describes the feature walking the variation tendency of power curve of safety monitoring point, after the feature walking the variation tendency of power curve segmentation being described safety monitoring point gathers, historical data stream feature experience collection memory module is sent to carry out storage 116.
According to identical operation, protocol adaptation driver module 107 obtains the real time planning data stream of target industrial process control system, data resolution module 108 is analyzed this real time planning data stream, journey data stream extraction module 103 is according to the information generating the safety monitoring point determined in mapping block 113, in real time planning data stream after extraction and analysis, the state value of Real-time security monitoring point and timestamp, and be sent to detection module 104.
Detecting and alarm 114 in detection module 104 is according to the state value of Real-time security monitoring point and timestamp, and that draws Real-time security monitoring point walks power curve, and segmentation describes the feature walking the variation tendency of power curve of Real-time security monitoring point.
Detecting and alarm 114 extracts the feature walking the variation tendency of power curve of safety monitoring point from above-mentioned historical data stream feature experience collection memory module 116, and the feature walking the variation tendency of power curve of segmentation comparison safety monitoring point and the feature walking the variation tendency of power curve of Real-time security monitoring point, result according to comparison calculates cumulative errors, and judge cumulative errors whether within the scope of the margin of safety preset, determine that whether safety monitoring point is in a safe condition.
Again according to the safety monitoring point of storage in mapping table memory module 115 and the corresponding relation of technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with safety monitoring point.Judge that whether target industrial process control system is in a safe condition, if now judge that obtaining target industrial process control system does not have in a safe condition, then detection module 104 notifies that alarm module 105 carries out alarm.
Achieve in this way and in conjunction with its concrete control law, content depth detection is carried out to process control interaction data stream.
It should be noted that, in the detection system of industrial stokehold technological process safety disclosed in the present embodiment, the specific works process of all parts refers to the embodiment of corresponding diagram 4, repeats no more herein.
Above the detection method of industrial stokehold technological process safety provided by the present invention and system are described in detail.Apply specific case herein to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping.It should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention, can also carry out some improvement and modification to the present invention, these improve and modify and also fall in the protection domain of the claims in the present invention.
Claims (19)
1. a detection method for industrial stokehold technological process safety, is characterized in that, comprising:
Obtain and resolve the process control data streams of target industrial process control system;
Extract state value and the timestamp of the safety monitoring point in the process control data streams after described parsing;
According to state value and the timestamp of described safety monitoring point, what generate safety monitoring point walks power curve;
Obtain and resolve the real time planning data stream of described target industrial process control system;
Extract state value and the timestamp of the safety monitoring point in the real time planning data stream after described parsing;
According to state value and the timestamp of the safety monitoring point in described real time planning data stream, what generate Real-time security monitoring point walks power curve;
Safety monitoring point described in comparison walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition, if not, then alarm.
2. the detection method of industrial stokehold technological process safety as claimed in claim 1, it is characterized in that, safety monitoring point described in described comparison walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition, comprising:
Safety monitoring point described in segmentation comparison walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors;
Judge described cumulative errors whether within the scope of the margin of safety preset, determine that whether described safety monitoring point is in a safe condition;
The corresponding relation of foundation preset security monitoring point and technique sub-process, calculates the safe condition situation of the technique sub-process corresponding with described safety monitoring point.
3. the detection method of industrial stokehold technological process safety as claimed in claim 2, it is characterized in that, the determination mode of the corresponding relation of described safety monitoring point and technique sub-process comprises:
Obtain the user program of target industrial process control system;
According to the classification of control law technique, the main flow dividing described user program is multiple technique sub-processes;
Respectively analysis on configuration template matches is carried out to described multiple technique sub-process, extract the parametric variable surveyed in described multiple technique sub-process;
Determine the described safety monitoring point can surveyed in parametric variable, set up the corresponding relation of described safety monitoring point and technique sub-process.
4. the detection method of industrial stokehold technological process safety as claimed in claim 3, is characterized in that, describedly carries out analysis on configuration template matches to described multiple technique sub-process respectively, and the parametric variable surveyed extracted in described multiple technique sub-process comprises:
Analyze masterplate by user program, the program corresponding to each described control procedure technique sub-process is analyzed;
By the feature of each described control procedure technique sub-process obtained after analyzing, analyze with described user program the feature that masterplate defines and mate;
If the match is successful, then described feature is defined as the parametric variable that can survey.
5. the detection method of industrial stokehold technological process safety as claimed in claim 2, is characterized in that, safety monitoring point described in described segmentation comparison walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors and specifically comprise:
Segmentation describes the feature walking the variation tendency of power curve of described safety monitoring point;
Segmentation describes the feature walking the variation tendency of power curve of described Real-time security monitoring point;
The feature walking the variation tendency of power curve of safety monitoring point described in segmentation comparison and the feature walking the variation tendency of power curve of described Real-time security monitoring point;
Result according to comparison calculates cumulative errors.
6. the detection method of industrial stokehold technological process safety as claimed in claim 5, is characterized in that, described segmentation describe described safety monitoring point walk the feature of the variation tendency of power curve after, comprise further:
Set up historical data stream feature experience collection, by the feature walking the variation tendency of power curve of described safety monitoring point, gather and send into described historical data stream feature experience collection.
7. the detection method of industrial stokehold technological process safety as claimed in claim 6, is characterized in that, described judge that whether target industrial process control system in a safe condition after, comprise further:
If judge that target industrial process control system is in a safe condition, then the feature of the tendency plots changes of described Real-time security monitoring point is sent into described historical data stream feature experience collection.
8. the detection method of industrial stokehold technological process safety as claimed in claim 1, it is characterized in that, described alarm comprises:
Generate and outputting alarm information.
9. a detection system for industrial stokehold technological process safety, is characterized in that, comprising:
Distributed process data flow acquisition device and process control process safety detection platform; Wherein:
Described distributed process data flow acquisition device, for obtaining and resolving process control data streams and the real time planning data stream of target industrial process control system;
Described process control process safety detection platform comprises:
The process data stream extraction module be connected with described distributed process data flow acquisition device, for extracting state value and the timestamp of the safety monitoring point in the real time planning data stream after the process control data streams after described parsing and described parsing respectively;
The detection module be connected with described process data stream extraction module, for according to the state value of the safety monitoring point in the process control data streams after described parsing and timestamp, what generate safety monitoring point walks power curve; And according to the state value of the safety monitoring point in described real time planning data stream and timestamp, what generate Real-time security monitoring point walks power curve; Safety monitoring point described in comparison walk power curve and Real-time security monitoring point walk power curve, judge that whether target industrial process control system in a safe condition;
For described detection module, the alarm module be connected with described detection module, judges that target industrial process control system does not have in a safe condition, alarm.
10. the detection system of industrial stokehold technological process safety according to claim 9, is characterized in that, described distributed process data flow acquisition device comprises:
Process control stream hardware interface module, for transmitting the process control data streams and real time planning data stream that obtain from each interface target industrial process control system;
The protocol adaptation driver module be connected with described process control stream hardware interface module, for receive and transmit described process control stream hardware interface module transmission process control data streams and real time planning data stream;
The data resolution module be connected with described protocol adaptation driver module, for obtaining process control data streams and the real time planning data stream of the target industrial process control system of protocol adaptation driver module transmission, and resolve described process control data streams and real time planning data stream.
The detection system of 11. industrial stokehold technological process safety according to claim 9, it is characterized in that, described detection module comprises: detecting and alarm and mapping table memory module; Wherein:
Described mapping table memory module, for the corresponding relation of storage security monitoring point and technique sub-process;
Described detecting and alarm is connected with described mapping table memory module, for safety monitoring point described in segmentation comparison walk power curve and Real-time security monitoring point walk power curve, calculate cumulative errors, and judge described cumulative errors whether within the scope of the margin of safety preset, determine that whether described safety monitoring point is in a safe condition; Again according to the corresponding relation of the safety monitoring point stored in described mapping table memory module and technique sub-process, calculate the safe condition situation of the technique sub-process corresponding with described safety monitoring point.
The detection system of 12. industrial stokehold technological process safety according to claim 9, is characterized in that, described process control process safety detection platform also comprises:
User UI, for receiving the user program of the target industrial process control system of user's input;
The process typing parsing module be connected with described user UI, for the user program of the described target industrial process control system of described acquisition that user UI receives, and according to the classification of control law technique, the main flow dividing described user program is multiple technique sub-processes, respectively analysis on configuration template matches is carried out to described multiple technique sub-process, extract the parametric variable surveyed in described multiple technique sub-process;
The generation mapping block be connected with described process typing parsing module, for determining the described safety monitoring point can surveyed in parametric variable, sets up the corresponding relation of described safety monitoring point and technique sub-process.
The detection system of 13. industrial stokehold technological process safety according to claim 12, is characterized in that, described process typing parsing module comprises:
User program analyzes masterplate, analyzes for the program corresponding to each described control procedure technique sub-process, and the feature of each described control procedure technique sub-process will obtained after analyzing, and analyzes the feature that masterplate defines mate with described user program;
If the match is successful, then described user program analyzes the parametric variable that described feature is defined as surveying by masterplate.
The detection system of 14. industrial stokehold technological process safety according to claim 11, it is characterized in that, safety monitoring point described in described detecting and alarm segmentation comparison walk power curve and Real-time security monitoring point walk power curve, when calculating cumulative errors, specifically for:
Segmentation describes the feature walking the variation tendency of power curve of described safety monitoring point;
Segmentation describes the feature walking the variation tendency of power curve of described Real-time security monitoring point;
The feature walking the variation tendency of power curve of safety monitoring point described in segmentation comparison and the feature walking the variation tendency of power curve of described Real-time security monitoring point;
Result according to comparison calculates cumulative errors.
The detection system of 15. industrial stokehold technological process safety according to claim 14, it is characterized in that, described detection module comprises further:
The historical data stream feature experience collection memory module be connected with described detecting and alarm, for obtaining and storing the feature walking the variation tendency of power curve of described safety monitoring point.
The detection system of 16. industrial stokehold technological process safety according to claim 9, it is characterized in that, described alarm module comprises:
First alarm module, for generate and user UI to described detection system sends a warning message.
The detection system of 17. industrial stokehold technological process safety according to claim 9, it is characterized in that, described detection components is connected with the user UI of described detection system, for send to the user UI of described detection system described safety monitoring point walk power curve and described Real-time security monitoring point walk power curve;
The user UI of described detection system for export described safety monitoring point walk power curve and described Real-time security monitoring point walk power curve.
The detection system of 18. industrial stokehold technological process safety according to claim 9, it is characterized in that, described distributed process data flow acquisition device also comprises:
The configuration be connected with described industrial stokehold process safety detection platform and communication interface modules, for obtaining the configuration file that described industrial stokehold process safety detection platform sends, described protocol adaptation driver module, data resolution module and process control stream hardware interface module are numbered, and the interface of described protocol adaptation driver module, data resolution module and process control stream hardware interface module is configured.
The detection system of 19. industrial stokehold technological process safety according to claim 9, it is characterized in that, described distributed process data flow acquisition device comprises further:
The response be connected with described alarm module links expansion connection module, for when described alarm module alarm, sets up and links with the response of the safety protection equipment in system, make target industrial process control system be in off working state.
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