CN109343395B - Abnormity detection system and method for DCS operation log of nuclear power plant - Google Patents

Abnormity detection system and method for DCS operation log of nuclear power plant Download PDF

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CN109343395B
CN109343395B CN201811208265.5A CN201811208265A CN109343395B CN 109343395 B CN109343395 B CN 109343395B CN 201811208265 A CN201811208265 A CN 201811208265A CN 109343395 B CN109343395 B CN 109343395B
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dcs
abnormal
alarm
module
procedure
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CN109343395A (en
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顾海霞
刘高俊
李贤民
王婷
李季学
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China General Nuclear Power Corp
China Nuclear Power Engineering Co Ltd
CGN Power Co Ltd
Shenzhen China Guangdong Nuclear Engineering Design Co Ltd
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China General Nuclear Power Corp
China Nuclear Power Engineering Co Ltd
CGN Power Co Ltd
Shenzhen China Guangdong Nuclear Engineering Design Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • G05B19/0425Safety, monitoring

Abstract

The invention provides an abnormity detection system and method for a nuclear power plant DCS operation log, which comprises the steps of collecting real-time and historical operation data of a DCS database system and storing a DCS operation log library; downloading DCS operation procedure documents and alarm documents, and establishing standard operation procedures according to the association between the operation procedure documents and the alarm documents; establishing a standard running state model according to historical running data, receiving current running state data in real time, judging whether the current running data is abnormal or not, and extracting an operation log corresponding to an abnormal state from an operation log library after confirming a time entry and a system range according to an abnormal state signal; according to the detection basis, the extracted operation logs are compared, whether the operation logs are consistent with the standard operation rules or not is judged, and the abnormal detection results are reported in a grading manner, so that the abnormal detection system for the DCS operation logs of the nuclear power plant has the following beneficial effects: the operation log of the DCS is effectively detected, the operation risk caused by misoperation is found in time, and the operation safety of the nuclear power plant is improved.

Description

Abnormity detection system and method for DCS operation log of nuclear power plant
Technical Field
The invention relates to the technical field of electronized data of nuclear power plants, in particular to a system and a method for detecting abnormity of DCS operation logs of a nuclear power plant.
Background
The nuclear power plant real-time information monitoring system (KNS system) mainly has the functions of establishing a whole plant production process real-time and historical database platform, acquiring whole plant production data, realizing centralized storage, management and application of the whole plant production data, and providing an information system for monitoring and comprehensive optimization services of the whole plant production process for production monitoring personnel such as operation, maintenance, technical support and the like.
The functions of historical playback, log query, digital regulation, alarm card and the like based on a KNS system adopted by a nuclear power plant at present can be used for discovering abnormal operation through manual inspection; however, the abnormal operation needs to have sophisticated nuclear power operation background knowledge by utilizing manual inspection, the operation state of the unit at a specific moment in the past is known, the problem can be found in a manual inspection mode, and the number of real-time parameter points which can be monitored by a single unit is more than 2 thousands, so that the workload is huge, and the timely and effective detection of the operation of an operator cannot be realized. In an intelligent information era, the manual inspection mode is obviously not suitable for the requirements of modern technology development, the intelligent development of related operation and maintenance work in a nuclear power plant is not facilitated, the inspection mainly depends on the subjectivity of workers, and the inspection cannot be controlled by technical means so as to avoid human errors.
After the nuclear power station adopts the digitization technology, whether the operation of the nuclear power plant DCS system operator is wrong or not is of great importance to the safety of the nuclear power plant operation. Therefore, a technical means is needed to detect the operation of the operator, so as to reduce the operation risk caused by misoperation.
Disclosure of Invention
Aiming at the problems of low electronization degree, human errors and the like in the prior art, the invention provides the abnormal detection system and the method for the DCS operation log of the nuclear power plant, which can effectively detect the operation log of the DCS, avoid the operation risk caused by misoperation caused by the human errors and have higher intellectualization and safety.
The technical scheme provided by the invention for the technical problem is as follows:
the invention provides an abnormity detection system of a nuclear power plant DCS operation log, which comprises a DCS data source module, a DCS operation log database and a data processing module, wherein the DCS data source module is connected to a DCS database system and is used for acquiring real-time and historical operation data of the DCS database system and storing the DCS operation log database of the DCS database system, and the system also comprises:
the detection basis generation module is connected with the DCS database system and used for downloading DCS operation document information from the DCS database system and establishing a standard operation rule;
the state establishing model and identification module is connected with the DCS database system and used for establishing a standard operation state model according to the historical operation data; the DCS is used for receiving the current operation state data of the DCS data source module in real time and judging whether the current operation state data is abnormal or not;
the detection object extraction module is respectively connected with the state establishment model and identification module and the DCS data source module and is used for extracting an operation log corresponding to the abnormal state from an operation log library of the DCS data source module after a time entry and a system range are confirmed according to the alarm information in the abnormal state;
and the detection module is respectively connected with the detection basis generation module, the detection object extraction module and the state establishment model and identification module, and is used for comparing the standard operation rule with the extracted operation log, judging whether the operation log is consistent with the standard operation rule or not and sending an abnormal detection result. The technical method can provide an abnormity detection technology for the DCS operation log of the power plant, effectively detect the operation of operators and improve the safety level of the power plant.
According to the system, the system also comprises an information reporting module which is connected with the detection module and used for reporting in a grading way according to the abnormal detection result. The technical scheme has the technical effects that reporting in a grading mode can be achieved without hiding and missing, all detection results are recorded in a classification mode, the detection results can be reasonably published, the severity grade is fed back to a power plant, and similar situations can be prevented from occurring later.
According to the system, the DCS database system comprises a KNS system connected with the DCS, and the KNS system is respectively connected with the DCS data source module and the detection basis generation module; the operation document information comprises an operation procedure document and an alarm document.
The detection basis generation module is also used for establishing the standard operation rule and generating a detection basis according to the association between the operation rule document and the alarm document. And forming a complete detection basis through the operation rules and the alarm documents.
According to the above system, the detection criterion generating module further comprises: the system comprises a procedure knowledge base module, an alarm card knowledge base module and an association module; wherein:
the procedure knowledge base module is connected with the KNS system and used for downloading operation procedure documents, the operation procedure documents comprise a procedure list, a procedure information table and a procedure relation network, and a procedure knowledge base is established according to the procedure list, the procedure information table and the procedure relation network;
the alarm card knowledge base module is connected with the KNS and used for downloading an alarm document, wherein the alarm document comprises an alarm card list, an alarm card information table and an alarm card relation network, and an alarm card knowledge base is established according to the alarm card list, the alarm card information table and the alarm card relation network;
and the association module is respectively connected with the procedure knowledge base module and the alarm card knowledge base module and is used for establishing association between the procedure knowledge base and the alarm card knowledge base, forming a procedure and alarm relation network and forming a standard operation procedure.
According to the above system, the state modeling and identification module further comprises:
the operation state model establishing module is connected with the DCS data source module and used for analyzing various operation conditions according to historical operation data of the DCS operation data, judging data of normal operation states under various conditions and establishing standard operation state models of all equipment or systems under various conditions;
and the equipment abnormal state identification module is connected with the DCS data source module and used for receiving the current running state data in real time, inputting the current running state data into the standard running state model, judging whether the current running state data is abnormal or not, and recording and prompting to enter an abnormal detection mode of an operation log when the current running state data is judged to be in an abnormal running state. And operation detection is performed according to the abnormal condition, so that the detection efficiency is improved.
According to the above system, the detection object extraction module further comprises: the extraction module is connected with the DCS data source module and the sending module is connected with the detection module; the extraction module is used for extracting the current operation information corresponding to the abnormal state from the DCS operation log library as a DCS log detection object after confirming a time entry and a system range according to the received alarm information in the abnormal state; the sending module is used for sending the current operation information to the detection module;
the detection module is also used for receiving alarm information of the equipment abnormal state identification module in an abnormal state, positioning the alarm information to enter a corresponding operation log detection inlet, calling an operation log corresponding to the operation log detection inlet as a detection object to carry out consistency check with a standard operation procedure, judging whether abnormal operation exists or not, and recording and sending the abnormal operation log to the information reporting module if the abnormal operation exists;
the information reporting module is further used for carrying out different grades of division on the abnormal operation according to the severity of the consequences generated by the abnormal detection result and reporting the abnormal operation in a grading mode according to the division grades.
On the other hand, the invention also provides an abnormal detection method for the DCS operation log of the nuclear power plant, which comprises the following steps:
s1, collecting real-time and historical operation data of the DCS database system, and storing a DCS operation log library of the DCS database system;
s2, downloading DCS operation document information from the DCS database system, wherein the operation document information comprises operation procedure documents and alarm documents, and establishing standard operation procedures and generating a detection basis according to the association between the operation procedure documents and the alarm documents;
s3, establishing a standard operation state model according to the historical operation data; the monitoring device is used for receiving current running state data in real time and judging whether the current running state data is abnormal or not, wherein the abnormality comprises operation abnormality and alarm abnormality;
s4, after confirming the time entry and the system range according to the alarm information in the abnormal state, extracting an operation log corresponding to the abnormal state from an operation log library; and comparing the detection basis with the extracted operation information, judging whether the operation information is consistent with a standard operation procedure or not, and reporting an abnormal detection result in a grading manner.
According to the above method, the step S2 further includes the steps of:
s21, downloading an operation procedure document, wherein the operation procedure document comprises a procedure list, a procedure information table and a procedure relation network, and establishing a procedure knowledge base according to the procedure list, the procedure information table and the procedure relation network;
s22, downloading an alarm document, wherein the alarm document comprises an alarm card list, an alarm card information table and an alarm card relation network, and establishing an alarm card knowledge base according to the alarm card list, the alarm card information table and the alarm card relation network;
s23, establishing association between the rule knowledge base and the alarm card knowledge base, forming a rule and alarm relation network, and forming the standard operation rule.
According to the above method, the step S3 further includes the steps of:
s31, analyzing various operation conditions according to the historical operation data of the DCS operation data, judging the data of the normal state of operation under various conditions, and establishing a standard operation state model of all equipment or systems under various conditions;
and S32, receiving the current running state data in real time, inputting the current running state data into the standard running state model, judging whether the current running state data is abnormal or not, and recording and sending the data when the current running state data is judged to be in an abnormal running state.
According to the above method, the step S4 further includes the steps of:
s41, after confirming a time entry and a system range according to the received alarm information in the abnormal state, extracting current operation information corresponding to the abnormal state from a DCS operation log library to be used as a DCS log detection object;
s42, receiving alarm information in an abnormal state, positioning and entering a corresponding operation log detection inlet according to the alarm information, calling operation information corresponding to the operation log detection inlet as a detection object to perform consistency check with a standard operation procedure, judging whether abnormal operation exists or not, and recording an abnormal operation log if the abnormal operation exists;
and S43, dividing the abnormal operation into different grades according to the severity of the result generated by the abnormal detection result, and reporting the abnormal operation in a grading way according to the division grades.
The technical scheme provided by the embodiment of the invention has the following beneficial effects: after the technical scheme of the invention is adopted, the operation log of the DCS and the DCS operation data are used as data sources, a standard operation rule is established, a standard operation state model is established according to historical operation data, and the operation log corresponding to the abnormal state is extracted from an operation log library according to alarm information under the abnormal state; comparing the detection basis with the extracted operation log, judging whether the operation information is consistent with the standard operation rule or not, and reporting an abnormal detection result in a grading manner; by adopting the technical scheme of the invention, the patrol workers in the nuclear power plant can effectively detect the operation log of the DCS through an intelligent system, avoid the operation risk caused by common human errors, simultaneously realize synchronous butt joint with other information systems, promote the intelligent development of related operation and maintenance work in the nuclear power plant and improve the operation safety of the nuclear power plant.
Drawings
Fig. 1 is a schematic structural diagram of an anomaly detection system for providing a DCS operation log according to an embodiment of the present invention.
Fig. 2 is a block diagram of a detection basis generation module according to an embodiment of the present invention.
FIG. 3 is a block diagram of a state modeling and recognition module according to an embodiment of the invention.
Fig. 4 is a block diagram of a detected object extracting module according to an embodiment of the present invention.
FIG. 5 is a flowchart of an abnormality detection method for DCS operation log of a nuclear power plant according to an embodiment of the invention.
FIG. 6 is a flow chart of steps S2 according to an embodiment of the present invention.
FIG. 7 is a flowchart illustrating steps S3 and S4 according to an embodiment of the present invention.
FIG. 8 is a system flow chart of an abnormality detection method for DCS operation log of a nuclear power plant according to an embodiment of the invention.
Detailed Description
Aiming at solving the problems of low electronization degree, easy operation risk caused by human error, poor safety and the like in the prior art, the invention provides an abnormal detection system and method for DCS operation logs of a nuclear power plant aiming at the defect of lack of effective detection and supervision means for operation personnel in the nuclear power plant, and the core idea is as follows: taking an operation log of a DCS and DCS data as data sources, and extracting effective information of the DCS operation log by using a data mining technology to form DCS operation information; reading DCS digital rules and a digital alarm card by using a data mining technology to establish a consistency detection model; establishing a DCS normal operation state model under various working conditions by combining DCS operation data and a mode identification technology; intelligently searching and positioning a detection inlet of an operation log in a rule through the current operation state of the DCS; after the operation log is positioned, the DCS operation information and the digital regulation of the power plant are continuously checked for consistency, whether abnormal operation exists in the operation personnel is detected, common human errors in the prior art are solved, the purpose of reducing operation risks caused by misoperation is achieved, meanwhile, synchronous butt joint with system information is achieved, and intelligent development of related operation and maintenance work in the nuclear power plant is promoted.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Example one
The embodiment of the invention provides an abnormity detection system of a nuclear power plant DCS operation log, and the attached figure 1 is a structural schematic diagram of the abnormity detection system of the invention, which comprises a DCS data acquisition system, wherein the DCS data acquisition system relates to a DCS system and a KNS system (a nuclear power plant real-time information monitoring system) 100, and the abnormal detection system comprises:
the KNS system 100 is connected with the DCS and used for establishing a real-time and historical database platform in the whole factory production process, collecting the whole factory production data and realizing the centralized storage, management and application of the production data in the whole factory range;
and the DCS data source module 200 is connected with the KNS system 100 and used for acquiring real-time and historical operating data of the KNS system 100 and storing a DCS operation log library of the KNS system 100. Specifically, the DCS data source module 200 is configured to establish a basic data source as a basis for detecting the DCS operation log, and a KNS system provides a reliable complete data source, so as to implement offline abnormality detection of the DCS operation log. The basic data source comprises DCS operation logs and DCS operation data, and the DCS operation data comprises DCS real-time operation data and DCS operation historical data. The KNS system 100 collects real-time operation data of the DCS in real time and on line through a data collection program from the DCS network controller, and stores the real-time operation data into a real-time historical database as historical operation data. The KNS system 100 downloads the operation log file of the DCS from the DCS of the nuclear power plant, analyzes the operation log file through an analysis program, and finally generates the operation log file with an identifiable format.
The detection basis generating module 300 is connected with the KNS system 100, downloads DCS operation document information from the KNS system 100, establishes a standard operation procedure according to the association between the operation procedure document and the alarm document, and generates a detection basis; specifically, referring to fig. 2, the detection basis generation module 300 includes a procedure knowledge base module 301, an alarm card knowledge base module 302 and an association module 303; wherein:
the rule knowledge base module 301 is connected with the KNS system 100 and used for downloading operation rule documents, wherein the operation rule documents comprise a rule list, a rule information table and a rule relation network, the rule list downloads DCS digital rule files in an HTML format through the KNS system, an HTML rule list of the DCS digital rule is established, and page names and codes are used as rule list items; identifying and judging an operation instruction of a DCS digital procedure HTML page, and converting the operation instruction into an identifiable procedure information table, wherein the procedure information table comprises alarm information, an instruction and an instruction node; procedure relationship network: the relation between the procedures is represented by instruction nodes, the relation between the procedures is divided into the relation between instructions in an HTML page and the relation between the HTML page and the page, the instruction nodes are divided into first, second and third level instruction nodes according to the level from high to low, and the instruction nodes are stored through a relation library of a mesh structure. And forming a rule knowledge base according to the rule list, the rule information table and the rule relational network, and finally realizing the digital rule conversion of the DCS.
And the alarm card knowledge base module 302 is connected with the KNS system 100 and is used for downloading alarm documents, wherein the alarm documents comprise an alarm card list, an alarm card information table and an alarm card relation network. The conversion process of the digital alarm card is as follows: alarm card list: downloading the DCS digital alarm card file in the HTML format through the KNS system 100, establishing an HTML alarm card list of the DCS digital alarm card, and taking the page name and the code as the alarm card list items. Alarm card information sheet: reading and judging the HTML page of the alarm card, and converting the checking step into a recognizable alarm card information table, wherein the alarm card information table comprises a page name, an inspection object, a judgment condition, an inspection sequence number and a procedure name. Alarm card relationship network: and sequencing the alarms, processing the alarm levels of the same object from high to low, and under the condition of an abnormal state, firstly inputting the alarm information into an alarm relation network, and determining the alarm information corresponding to the abnormal state through the alarm relation network. Alarm card knowledge base: the alarm card knowledge base is composed of an alarm card list, an alarm card information table and an alarm card relation network, and finally the conversion of the digital alarm card is realized.
And the association module 303 is respectively connected with the procedure knowledge base module 301 and the alarm card knowledge base module 302 and is used for establishing association between the procedure knowledge base and the alarm card knowledge base, forming a procedure and alarm relation network and forming a standard operation procedure. The implementation process of the regulation and alarm relation network is as follows: the digital procedure and the digital alarm card are associated to a certain extent, and the procedure name of the information table of the alarm card is associated with the procedure name of the procedure information table, so that a procedure and alarm relation network is formed.
The state establishing model and identification module 400 and the DCS data source module 200 are used for establishing a standard operation state model according to historical operation data; and is used for receiving the current operation state data of the DCS data source module 200 in real time and judging whether the current operation state data is abnormal; specifically, referring to fig. 3, the state establishing module and identifying module 400 further includes an operating state model establishing module 401 connected to the DCS data source module 200, and configured to analyze various operating conditions according to historical operating data of the DCS operating data, determine data of a normal state of operation under various operating conditions, and establish a standard operating state model of all devices or systems under various operating conditions;
the device abnormal state identification module 402 is connected to the DCS data source module 200, and is configured to receive current operation state data in real time, input the current operation state data into a standard operation state model, determine whether the current operation state data is abnormal, and record and send alarm information of the abnormal state to the detection object extraction module 500 and the detection basis generation module 300 when the current operation state data is determined to be in an abnormal operation state.
For the nuclear power plant operating state model: the method is used as a precondition for DCS log detection and is used for judging and analyzing the current running state of the nuclear power plant.
The nuclear power plant operation state modeling process is as follows:
(A) in a normal state: various operating conditions of the power plant are analyzed, and data of a normal state of operation under various operating conditions are judged and serve as an object (namely an analysis object) of operation state model learning.
(B) The operation state model: the data of the normal state are trained and learned (i.e. calculated and analyzed), and a standard operation state model of all the equipment or systems of the power plant under each working condition is established, including characteristic analysis of main systems and key parameters.
(C) And (3) abnormal state detection: and judging whether the current data belong to the abnormal operation state or not by inputting the current data into the standard operation state model. And if the operation state is an abnormal operation state, recording and prompting to enter an abnormal detection mode of the operation log. If the abnormal operation state does not belong to the abnormal operation state, the operation state is continuously judged in the next time period.
The detection object extraction module 500 is respectively connected with the state establishing model and identification module 400 and the DCS data source module 200, and is configured to extract operation information corresponding to an abnormal state from an operation log library of the DCS data source module 200 after confirming a time entry and a system range according to the alarm information in the abnormal state;
the detection module 600 is connected to the detection basis generation module 300, the detection object extraction module 500, and the state modeling and identification module 400, respectively, and is configured to compare the standard operation procedure with the extracted operation information, determine whether the operation information is consistent with the standard operation procedure, and send an abnormal detection result.
The detection object extraction module 500 further includes: an extraction module 501 connected with the DCS data source module and a sending module 503 connected with the detection module 600; the extraction module 501 is configured to extract current operation information corresponding to an abnormal state from a DCS operation log library as a DCS log detection object after determining a time entry and a system range according to the received alarm information in the abnormal state; the sending module 502 is configured to send the current operation information to the detecting module 600; in another embodiment, the system further comprises a verification module 503 disposed between the extraction module 501 and the sending module 503, the verification module is used for verifying the extracted information, and the verified current operation information is sent to the sending module 503, and the verification method and steps are described in detail later.
The detection module 600 is further configured to receive alarm information of the device in the abnormal operation state identification module, locate and enter a corresponding operation log detection entry according to the alarm information, call operation information corresponding to the operation log detection entry as a detection object to perform consistency check with a standard operation procedure, determine whether an abnormal operation exists, and record and send an abnormal operation log to the information reporting module 700 if the abnormal operation exists;
the information reporting module 700 is configured to perform different grades of division on the abnormal operation according to the severity of the consequences generated by the abnormal detection result, and report the abnormal operation in a grading manner according to the division grades.
Specifically, when the abnormal detection mode of the operation log is prompted to enter, the abnormal detection mode is used as a DCS log detection result for judging and analyzing whether the DCS log is abnormal or not and outputting an abnormal result. The anomaly detection process is as follows:
a) detecting portal positioning
When the running state is abnormal, a plurality of abnormal alarm points generally exist, the abnormality needs to be intelligently sequenced, the sequencing of alarm information is determined by an alarm relation network, and then an inlet is positioned and detected through the alarm information. The rules of intelligent sorting in the alarm relation network are as follows: alarming the same object, wherein the alarming level is from high to low; alarms of different objects belong to a correlation system, and the priority importance is high; the alarm of different objects and the independent system need to establish a plurality of detection entrances. The positioning method of the detection entrance comprises the following steps: taking the alarm information in the abnormal state as an entrance and entering an alarm card; and then the procedure name of the alarm card information table is used as a positioning inlet of the operation procedure to enter the operation procedure. After entering the operation rule, finally entering positioning through the alarm information of the rule information table.
b) Anomaly detection
And (4) checking consistency of the operation information at a certain moment and the digital regulation of the power plant, and detecting whether the operator has abnormal operation at the moment. If the operation is normal, the next detection is carried out; and if the abnormal operation exists, recording the abnormal operation log.
c) Detection reporting
According to the severity of the consequences generated by the abnormal operation, the abnormal operation is divided into four different grades. If the data belong to the level 1-2, recording and not reporting the data; if the operation belongs to the grade 3-4, an abnormal operation log report needs to be compiled and verified to relevant departments of the power plant.
Furthermore, the DCS operation information is extracted and used as a DCS log detection object, the DCS equipment operation information comprises an equipment controller instruction and an equipment start-stop instruction, and different types of operation instructions correspond to different event numbers in the operation log.
The DCS operation information is extracted and generated in two ways, the information extracted in the two ways has a mutual authentication process, and the mutual authentication of the first extraction way and the second extraction way is realized by the authentication module 502 (see fig. 4), which specifically includes the following ways:
a) extracting DCS log information through a KNS system, and verifying the DCS log information with equipment state feedback signals and controller state feedback signals in DCS historical data;
b) and generating DCS operation information through the equipment switch instruction number and the controller instruction signal in the DCS historical data, and verifying the DCS operation information and DCS operation log information.
c) And selecting an operation log of the DCS in 1 week as a verification object, and comparing the roll names and the time of the operation information one by the operation information extracted by the extraction mode 1 and the extraction mode 2. If the two modes are all consistent after comparison, the two modes are correct; and if the information of the operation information items is inconsistent, analyzing and correcting the reasons of the few modes on the basis of the condition that the number of the operation information items is large.
Here, it is explained in a first extraction manner a), that the DCS device operation information is obtained by extracting effective information from the DCS operation log by using a data mining technology of text information, and the specific process is as follows:
a) event number analysis: analyzing the DCS operation log, and confirming the corresponding relation between the event number in the operation log and the instruction of the equipment controller, thereby obtaining an event number list of all DCS operation instructions;
b) log scanning: scanning the DCS operation log file, and reading all operation log entries in the event number list;
c) extracting effective information: further extracting effective information of the DCS operation logs, wherein the effective information comprises event occurrence time, roll call, description and event type information, and summarizing all operation log entries to form a time-series DCS operation information base;
d) and (3) information verification: the correctness and completeness of the operation information can be checked and verified through the state of the command signal in the DCS historical data. The mutual verification process provides the condition that operation logs in the DCS database system are possibly missed in the generation and downloading processes, and the correctness and the integrity of operation information are ensured through information verification.
The invention provides a nuclear power plant standard running state model and a consistency detection model by effectively detecting the operation log of the DCS, establishing a basic data source as the basis of the DCS log detection and providing a reliable complete data source by a KNS system as a key technical point, and automatically detecting the abnormal state, thereby solving the problems of huge workload and human error caused by the fact that the problems are found by a manual inspection mode in the prior art, and providing an intelligent system to realize the offline abnormal detection of the operation log of the DCS.
Example two
The embodiment of the invention provides an abnormality detection method for a nuclear power plant DCS operation log, which is suitable for an abnormality detection system for the nuclear power plant DCS operation log shown in the first embodiment, and referring to fig. 5, the method comprises the following steps:
s1, collecting real-time and historical operation data of the DCS database system, and storing a DCS operation log library of the DCS database system;
s2, downloading DCS operation document information from the DCS database system, wherein the operation document information comprises operation procedure documents and alarm documents, and establishing standard operation procedures and generating a detection basis according to the association between the operation procedure documents and the alarm documents;
referring to fig. 6, the step S2 further includes the following steps:
s21, downloading an operation procedure document, wherein the operation procedure document comprises a procedure list, a procedure information table and a procedure relation network, and establishing a procedure knowledge base according to the procedure list, the procedure information table and the procedure relation network;
s22, downloading an alarm document, wherein the alarm document comprises an alarm card list, an alarm card information table and an alarm card relation network, and establishing an alarm card knowledge base according to the alarm card list, the alarm card information table and the alarm card relation network;
s23, establishing association between the rule knowledge base and the alarm card knowledge base, forming a rule and alarm relation network, and forming the standard operation rule.
With reference to FIG. 5, step S3 includes establishing a standard operating condition model based on the historical operating data; the monitoring device is used for receiving current running state data in real time and judging whether the current running state data is abnormal or not, wherein the abnormality comprises operation abnormality and alarm abnormality;
referring to fig. 7, step S3 further includes the steps of:
s31, analyzing various operation conditions according to the historical operation data of the DCS operation data, judging the data of the normal state of operation under various conditions, and establishing a standard operation state model of all equipment or systems under various conditions;
and S32, receiving the current running state data in real time, inputting the current running state data into the standard running state model, judging whether the current running state data is abnormal or not, and recording and sending the data when the current running state data is judged to be in an abnormal running state.
Referring to fig. 5, step S4 includes extracting an operation log corresponding to the operation state model from an operation log library through two extraction methods and mutually verifying the operation log after confirming a time entry and a system range according to the alarm information of the abnormal state; and comparing the detection basis with the extracted operation log, judging whether the operation log is consistent with a standard operation procedure or not, and reporting an abnormal detection result in a grading manner.
Referring to fig. 7, the step S4 further includes the following steps:
s41, after confirming a time entry and a system range according to the received alarm information of the abnormal state, extracting current operation information corresponding to the abnormal state from a DCS operation log library to be used as a DCS log detection object;
the detection object is extracted and generated by two modes: extracting DCS log information of a KNS system, extracting a content device state feedback signal and a controller state feedback signal, verifying the content device state feedback signal and the controller state feedback signal with a device switch instruction signal and a controller instruction signal in DCS historical data, and explaining the correctness and the integrity of the DCS log information through verification; and the second extraction mode is that DCS operation information is formed by all equipment switch instruction numbers, controller instruction signals, time stamps of the instruction signals and instruction signal values in the DCS historical data and is verified with the DCS operation log information, and the correctness and the integrity of the DCS log information are described through verification. And sending the final information after mutual authentication to step S42, wherein the final information after mutual authentication is a condition that an operation log in the DCS database system may be missed in the generation and downloading processes, and the correctness and integrity of the operation information are ensured through information authentication.
S42, receiving alarm information of the abnormal state, entering a regulation and alarm relation network after the alarm information passes through a positioning detection inlet, and entering an alarm card by taking the alarm information in the abnormal state as an inlet; and then the procedure name of the alarm card information table is used as a positioning inlet of the operation procedure to enter the operation procedure. After entering the operation rule, finally, the alarm information of the rule information table enters positioning, so that the operation rule corresponding to the alarm card containing the alarm information is found, the specific rule needed for solving the alarm information is confirmed, and the standard operation rule is called.
And carrying out consistency check on the detection object and the detection basis.
And S43, judging whether abnormal operation exists or not, if so, recording an abnormal operation log, dividing the abnormal operation into different grades according to the severity of the result generated by the abnormal detection result, and reporting the abnormal operation in a grading manner according to the division grades.
Fig. 8 is a flowchart of a system program, in which the working process is shown in detail in fig. 8, the data source is from the KNS system, and provides DCS operation logs, DCS data (including data from the current operating state and operating data from the historical state in the DCS system), DCS digital rules, and a DCS digital alarm information card, respectively; wherein: the DCS operation log is used for providing a corresponding inlet for DCS operation information to extract the corresponding operation log to a consistency detection model (namely a detection module), the DCS data is provided with two paths of data for subsequent processing, historical operation data are sent to the DCS operation state model to establish a standard operation state model, current state operation data are sent to the standard operation state model to perform equipment abnormal state identification, the step of identifying the abnormal state of equipment comprises abnormal state judgment (namely the state is established in the model and the identification module), and when the condition abnormal state is judged to be 'yes', the time inlet for extracting an operation signal and the range of an extracted system are confirmed, the abnormal state information is sent to the DCS operation information step, and the current operation information corresponding to the DCS operation log is called to serve as a detection object; and recording the state exception. And judging whether the state is abnormal or not, returning to the current state for operation, and repeatedly sending the current state operation data to the state establishing model and the identification module for judgment.
The DCS operation information is connected with the DCS operation log and the DCS operation data, and can be extracted and generated in two modes through the verification module 502:
the first extraction method comprises the following steps: extracting DCS log information of the KNS system, extracting a content device state feedback signal and a controller state feedback signal, verifying the content device state feedback signal and the controller state feedback signal with a device switch instruction signal and a controller instruction signal in DCS historical data, and explaining the correctness and the integrity of the DCS log information through verification;
and (2) an extraction method II: and forming DCS operation information by all equipment switch instruction numbers, controller instruction signals, timestamps of the instruction signals and instruction signal values in the DCS historical data, verifying the DCS operation information and the DCS operation log information, and explaining the correctness and integrity of the DCS log information through verification.
Here, it is explained in a first extraction manner that the DCS operation information is obtained from the DCS operation log by a data mining technology of text information, and the specific process is as follows:
the event number lists of all DCS operation instructions;
and meanwhile, the alarm information in the abnormal state is detected, an entrance is positioned and then the alarm information is sent to a consistency detection model in a rule and alarm relation network (namely, in a detection basis generation module), and whether the currently extracted operation log is consistent with the standard operation rule or not is judged according to the comparison between the detection basis and the extracted current operation information.
The detection basis comprises an alarm card knowledge base, a regulation knowledge base and a regulation and alarm relation network.
The alarm card knowledge base is connected with the DCS digital alarm card. The alarm card knowledge base is composed of an alarm card list, an alarm card information table and an alarm card relation network and is used for finally realizing the conversion of the digital alarm card. The conversion process of the digital alarm card is as follows: alarm card list: downloading the DCS digital alarm card file in the HTML format through the KNS system 100, establishing an HTML alarm card list of the DCS digital alarm card, and taking the page name and the code as the alarm card list items. Alarm card information sheet: reading and judging the HTML page of the alarm card, and converting the checking step into a recognizable alarm card information table, wherein the alarm card information table comprises a page name, an inspection object, a judgment condition, an inspection sequence number and a procedure name.
The regulation knowledge base is connected with the DCS digital regulation. The procedure knowledge base consists of a procedure list, a procedure information table and a procedure relation network and is used for finally realizing the DCS digital procedure conversion. The conversion process of the DCS digital regulation is as follows: downloading a DCS digital procedure file in an HTML format by the procedure list through a KNS system, establishing an HTML procedure list of the DCS digital procedure, and taking the page name and the code as procedure list items; identifying and judging an operation instruction of a DCS digital procedure HTML page, and converting the operation instruction into an identifiable procedure information table, wherein the procedure information table comprises an instruction object, an instruction and an instruction node; procedure relationship network: the relation between the procedures is represented by instruction nodes, the relation between the procedures is divided into the relation between instructions in an HTML page and the relation between the HTML page and the page, the instruction nodes are divided into first, second and third level instruction nodes according to the level from high to low, and the instruction nodes are stored through a relation library of a mesh structure.
The rule and alarm relation network is respectively connected with an alarm card knowledge base (namely an alarm card) and a rule knowledge base and is used for establishing association between the rule knowledge base and the alarm card knowledge base to form a standard operation rule. The implementation process of the regulation and alarm relation network is as follows: the digital procedure and the digital alarm card are associated to a certain extent, and the procedure name of the information table of the alarm card is associated with the procedure name of the procedure information table, so that a procedure and alarm relation network is formed.
Classifying the abnormal detection result according to the abnormal detection result, storing the abnormal detection result with a corresponding severity grade of 1-2 grade into an abnormal operation log list, and not selecting to report; reporting and verifying the abnormal operation log report (namely an information reporting module) corresponding to the abnormal operation log with the severity level of 3-4, wherein the classified reporting has the advantages that the abnormal operation log report can not be concealed and not be reported in case of abnormal state detection, all detection results are classified and recorded, the detection results can be reasonably issued, the severity level is fed back to a power plant, and similar situations can be prevented from occurring after the detection.
It should be noted that: in the above embodiment, when the system is used to implement the anomaly detection method, only the division of the functional modules is used for illustration, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules, so as to complete all or part of the functions described above. In addition, the system and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. The utility model provides an unusual detecting system of nuclear power plant DCS oplog, includes DCS data source module, is connected to DCS database system for gather DCS database system's real-time and historical operating data, the DCS oplog storehouse of storage DCS database system, its characterized in that still includes:
the detection basis generation module is connected with the DCS database system and used for downloading DCS operation document information from the DCS database system, establishing a standard operation rule and generating a detection basis;
the state establishing model and identification module is connected with the DCS database system and used for establishing a standard operation state model according to the historical operation data; the DCS is used for receiving the current operation state data of the DCS data source module in real time and judging whether the current operation state data is abnormal or not;
the detection object extraction module is respectively connected with the state establishment model and identification module and the DCS data source module and is used for extracting an operation log corresponding to the abnormal state from an operation log library of the DCS data source module after a time entry and a system range are confirmed according to the alarm information in the abnormal state;
and the detection module is respectively connected with the detection basis generation module, the detection object extraction module and the state establishment model and identification module, and is used for comparing the standard operation rule with the extracted operation log, judging whether the operation log is consistent with the standard operation rule or not and sending an abnormal detection result.
2. The anomaly detection system according to claim 1, further comprising an information reporting module, connected to the detection module, for reporting in a hierarchical manner according to the anomaly detection result.
3. The anomaly detection system according to claim 1, wherein the DCS database system comprises a KNS system connected with the DCS system, and the KNS system is respectively connected with the DCS data source module and the detection basis generation module; the operation document information comprises an operation procedure document and an alarm document,
the detection basis generation module is also used for establishing the standard operation rule and generating a detection basis according to the association between the operation rule document and the alarm document.
4. The anomaly detection system of claim 3, wherein said detection-basis generation module further comprises: the system comprises a procedure knowledge base module, an alarm card knowledge base module and an association module; wherein:
the procedure knowledge base module is connected with the KNS system and used for downloading operation procedure documents, the operation procedure documents comprise a procedure list, a procedure information table and a procedure relation network, and a procedure knowledge base is established according to the procedure list, the procedure information table and the procedure relation network;
the alarm card knowledge base module is connected with the KNS and used for downloading an alarm document, wherein the alarm document comprises an alarm card list, an alarm card information table and an alarm card relation network, and an alarm card knowledge base is established according to the alarm card list, the alarm card information table and the alarm card relation network;
and the association module is respectively connected with the procedure knowledge base module and the alarm card knowledge base module and is used for establishing association between the procedure knowledge base and the alarm card knowledge base, forming a procedure and alarm relation network and forming a standard operation procedure.
5. The anomaly detection system of claim 1, wherein said state modeling and identification module further comprises:
the operation state model establishing module is connected with the DCS data source module and used for analyzing various operation conditions according to historical operation data of the DCS operation data, judging data of normal operation states under various conditions and establishing standard operation state models of all equipment or systems under various conditions;
and the equipment abnormal state identification module is connected with the DCS data source module and used for receiving the current running state data in real time, inputting the current running state data into the standard running state model, judging whether the current running state data is abnormal or not, and recording and prompting to enter an abnormal detection mode of an operation log when the current running state data is judged to be in an abnormal running state.
6. The abnormality detection system according to claim 5, characterized in that the detection object extraction module further includes: the extraction module is connected with the DCS data source module and the sending module is connected with the detection module; the extraction module is used for extracting the current operation information corresponding to the abnormal state from the DCS operation log library as a DCS log detection object after confirming a time entry and a system range according to the received alarm information in the abnormal state; the sending module is used for sending the current operation information to the detection module;
the detection module is also used for receiving alarm information of the equipment abnormal state identification module in an abnormal state, positioning the alarm information to enter a corresponding operation log detection inlet, calling an operation log corresponding to the operation log detection inlet as a detection object to carry out consistency check with a standard operation procedure, judging whether abnormal operation exists or not, and recording and sending the abnormal operation log to the information reporting module if the abnormal operation exists;
the information reporting module is further used for carrying out different grades of division on the abnormal operation according to the severity of the consequences generated by the abnormal detection result and reporting the abnormal operation in a grading mode according to the division grades.
7. A method for detecting the abnormity of a DCS operation log of a nuclear power plant is characterized by comprising the following steps:
s1, collecting real-time and historical operation data of the DCS database system, and storing a DCS operation log library of the DCS database system;
s2, downloading DCS operation document information from the DCS database system, wherein the operation document information comprises operation procedure documents and alarm documents, and establishing standard operation procedures and generating a detection basis according to the association between the operation procedure documents and the alarm documents;
s3, establishing a standard operation state model according to the historical operation data; the monitoring device is used for receiving current running state data in real time and judging whether the current running state data is abnormal or not, wherein the abnormality comprises operation abnormality and alarm abnormality;
s4, after confirming the time entry and the system range according to the alarm information in the abnormal state, extracting an operation log corresponding to the abnormal state from an operation log library; and comparing the detection basis with the extracted operation log, judging whether the operation log is consistent with a standard operation procedure or not, and reporting an abnormal detection result in a grading manner.
8. The method according to claim 7, wherein the step S2 further comprises the steps of:
s21, downloading an operation procedure document, wherein the operation procedure document comprises a procedure list, a procedure information table and a procedure relation network, and establishing a procedure knowledge base according to the procedure list, the procedure information table and the procedure relation network;
s22, downloading an alarm document, wherein the alarm document comprises an alarm card list, an alarm card information table and an alarm card relation network, and establishing an alarm card knowledge base according to the alarm card list, the alarm card information table and the alarm card relation network;
s23, establishing association between the rule knowledge base and the alarm card knowledge base, forming a rule and alarm relation network, and forming the standard operation rule.
9. The method according to claim 7, wherein the step S3 further comprises the steps of:
s31, analyzing various operation conditions according to the historical operation data of the DCS operation data, judging the data of the normal state of operation under various conditions, and establishing a standard operation state model of all equipment or systems under various conditions;
and S32, receiving the current running state data in real time, inputting the current running state data into the standard running state model, judging whether the current running state data is abnormal or not, and recording and sending the data when the current running state data is judged to be in an abnormal running state.
10. The method according to claim 9, wherein the step S4 further comprises the steps of:
s41, after confirming a time entry and a system range according to the received alarm information in the abnormal state, extracting current operation information corresponding to the abnormal state from a DCS operation log library to be used as a DCS log detection object;
s42, receiving alarm information in an abnormal state, positioning and entering a corresponding operation log detection inlet according to the alarm information, calling operation information corresponding to the operation log detection inlet as a detection object to perform consistency check with a standard operation procedure, judging whether abnormal operation exists or not, and recording an abnormal operation log if the abnormal operation exists;
and S43, dividing the abnormal operation into different grades according to the severity of the result generated by the abnormal detection result, and reporting the abnormal operation in a grading way according to the division grades.
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