A method and device for diagnosing power failure and assisting decision making of a nuclear power unit

Abstract

The present invention discloses a method for diagnosing power failure of a nuclear power unit and assisting decision-making, comprising the following steps: step S1, combing the upstream and downstream data of electrical nodes according to the electrical primary diagram of the nuclear power unit, establishing a structured data table of electrical primary equipment and storing it in a graph database; step S2, analyzing the response of each electrical equipment under different power failure fault types based on the working principle of the electrical equipment of the nuclear power unit, establishing a knowledge base for power failure analysis of electrical equipment; configuring auxiliary decision-making schemes for different power failure fault types based on technical documents related to power failure fault processing, and establishing an auxiliary decision-making knowledge graph; step S3, establishing an auxiliary decision-making model based on a digitized electrical primary diagram, the power failure analysis knowledge base and the auxiliary decision-making knowledge graph; step S4, obtaining the power failure operating state parameters when the nuclear power unit fails and inputting them into the auxiliary decision-making model, and obtaining the fault type and the corresponding auxiliary decision. The present invention can make power failure auxiliary decisions in a timely manner.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power unit fault diagnosis and decision support, and in particular to a nuclear power unit power failure fault diagnosis and auxiliary decision-making method and device. Background Art

[0002] The digital development of decision-making support technology for nuclear power units has become a new trend in the future development of the nuclear power field. The research and development and application of digital technology in the field of unit operation and maintenance and training are important components of the digital transformation and intelligent upgrading of nuclear power. The application of digital technology is not achieved overnight. The development of technology needs to rely on specific application scenarios and the knowledge and experience of experts in specific fields of nuclear power. It needs to use digital technology to achieve automatic diagnosis, integrate expert knowledge, and create a more efficient application method.

[0003] The operation and production of nuclear power plants cannot be separated from primary drawings. At present, nuclear power plants use paper primary drawings as working documents. Some power plants have carried out research on the digitization of drawings, but the current mainstream digital drawing conversion technology cannot accurately convert drawings, and the conversion efficiency needs to be improved. In the field of power failure research, new nuclear power units must undergo unit power failure tests. The test content almost covers the actions of the main systems and equipment of the nuclear island and conventional island of the nuclear power plant. The purpose is to verify whether the status of each system is consistent with the design after the loss of important power supply, whether the unit is in a safe and controllable state, and verify the relevant power failure handling procedures. For commercial nuclear power units, during the power operation of the unit, the handling of important power loss accidents is handled according to the corresponding accident procedures, but in the face of occasional failures such as power failure of the switchboard, partial power failure of the control power supply, and power failure of a single device, it is often impossible to quickly sort out the scope of the power failure, facing huge time and psychological pressure, and unable to take effective intervention measures against risks in a timely manner. Therefore, how to conduct research on power failure fault diagnosis and auxiliary decision-making methods for nuclear power units, and utilize the power failure-related experience data accumulated by the units to more efficiently serve the improvement of unit operation and maintenance performance is the key task of this study. Summary of the invention

[0004] In view of this, it is necessary to provide a method and device for power failure fault diagnosis and auxiliary decision-making of a nuclear power unit, so as to effectively solve the technical problem of untimely power failure fault diagnosis and intervention measures.

[0005] The present invention provides a method for diagnosing power failure of a nuclear power unit and assisting decision making, comprising the following steps:

[0006] Step S1, sorting out the upstream and downstream data of electrical nodes according to the electrical primary diagram of the nuclear power unit, establishing a structured data table of the electrical primary equipment, storing the structured data table in a graph database, and realizing the digitization of the electrical primary diagram;

[0007] Step S2: Based on the working principle of the electrical equipment of the nuclear power unit, analyze the response of each electrical equipment under different power failure fault types, and establish a knowledge base for power failure analysis of electrical equipment; configure auxiliary decision-making schemes for different power failure fault types based on technical documents related to power failure fault processing, and store the auxiliary decision-making schemes in a knowledge graph manner to establish an auxiliary decision-making knowledge graph;

[0008] Step S3, establishing an auxiliary decision model based on the digitized electrical primary diagram, the power failure analysis knowledge base and the auxiliary decision knowledge graph;

[0009] Step S4, obtaining and preprocessing the power failure state parameters of the nuclear power unit when the power failure occurs, inputting the preprocessed characteristic parameters into the auxiliary decision model to obtain the fault type and the corresponding auxiliary decision.

[0010] Preferably, the step S1 is specifically:

[0011] According to the electrical primary diagram of the nuclear power unit, the electrical switches, busbars, and power supply load equipment are sorted out, and a structured data table of the electrical primary equipment is established. The structured data table is stored in a graph database, and the physical connections between the electrical nodes are represented by the nodes, relationships, and attributes of the graph database to realize the digitization of the electrical primary diagram. The digitized electrical primary diagram is updated by modifying the structured data table.

[0012] Preferably, the step S1 further includes:

[0013] The electrical nodes are laid out based on the data import mechanism of the structured data table, and a two-dimensional topology diagram is automatically generated.

[0014] Preferably, the layout of electrical nodes is performed based on the data import mechanism of the structured data table in step S1, and a two-dimensional topology diagram is automatically generated, which specifically includes:

[0015] The front end receives the data transmitted by the back end and parses it, and uses an automatic layout algorithm to automatically layout each electrical node based on the connection relationship between the electrical nodes in the structured data table, and generates a two-dimensional topological diagram so that the connection relationship between the electrical nodes is intuitively presented;

[0016] An assembly function is set up on the back end to extract and assemble data from the graph database, build a data structure that meets the front-end requirements, and retrieve the required data through a table lookup operation so that the front end can obtain the required data through an HTTP GET request.

[0017] Preferably, the step S2 establishes a knowledge base for power failure analysis of electrical equipment, specifically:

[0018] Based on the working principle of electrical equipment in nuclear power units, sort out the types of electrical switches and establish an electrical switch type database;

[0019] Based on the electrical switch type database, the response of each electrical device under different power failure fault types is analyzed, and a device status database under different power failure fault types is established to obtain the power failure analysis knowledge base.

[0020] Preferably, the auxiliary decision-making knowledge graph is established in step S2, specifically:

[0021] For each type of power failure, a power failure consequence analysis is performed to generate a power failure analysis and risk report, and an auxiliary decision-making plan is configured in combination with the fault handling technical document. The power failure type is used as an entity object in the knowledge graph, and the power failure analysis and risk report as well as the auxiliary decision-making plan configured based on the fault handling technical document are defined as attributes of the entity object to establish the auxiliary decision-making knowledge graph.

[0022] Preferably, the step S3 is specifically:

[0023] Based on the power failure fault processing process of the nuclear power unit, the power failure fault type is used as an interface to connect the power failure analysis knowledge base and the auxiliary decision-making knowledge graph, and the diagnosis and auxiliary decision-making results are output in the form of a digitized electrical primary diagram.

[0024] Preferably, the step S4 is specifically:

[0025] Through the real-time database management system of the nuclear power plant, the state parameters of each electrical equipment of the nuclear power unit are obtained, and data cleaning and optimization are performed. The cleaned and optimized state parameters are input into the power failure analysis knowledge base to obtain the corresponding fault type, and the fault type is input into the auxiliary decision knowledge graph to obtain the corresponding auxiliary decision.

[0026] Preferably, the step S4 further includes:

[0027] The fault type and the corresponding auxiliary decision are output through a digitized electrical primary diagram.

[0028] The present invention also provides a nuclear power unit power failure fault diagnosis and auxiliary decision-making device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the nuclear power unit power failure fault diagnosis and auxiliary decision-making method is implemented.

[0029] Compared with the prior art, the present invention has the following beneficial effects: first, the present invention structures the data of the electrical primary drawing, and automatically generates the electrical primary topology diagram in reverse according to the structured data, so as to realize the digitization of the electrical primary drawing; at the same time, the knowledge base of the power failure auxiliary decision of the nuclear power unit is constructed, and a complete structured database of the full range of power failure analysis of the nuclear power unit is established, so as to realize the structured storage of the power failure analysis data, and provide a basis for the digital application of power failure analysis based on knowledge and experience; according to the power failure fault handling process of the unit, based on the digital electrical drawings, the power failure analysis knowledge base, and the auxiliary decision knowledge map, the auxiliary decision model is built, and the automatic diagnosis of the power failure fault is realized and the auxiliary decision is quickly output. The model involves the interaction of multiple models, integrates a large amount of structured and unstructured data, and realizes the document management system, the extraction of the working state parameter data of the PI system, and other tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0031] FIG1 is a flow chart of an embodiment of a method for diagnosing power failure and assisting decision-making of a nuclear power unit provided by the present invention;

[0032] Figure 2 is a two-dimensional topological diagram of the structured data table in the embodiment shown in Table 1;

[0033] Figure 3 yes Figure 1 A diagram of a power failure analysis process method in a first embodiment of a power failure analysis knowledge base in the illustrated embodiment;

[0034] Figure 4a yes Figure 1 A schematic diagram of the structure of an auxiliary decision-making model in the embodiment shown;

[0035] Figure 4b yes Figure 1 An example diagram of the application of an auxiliary decision-making model in the embodiment shown. DETAILED DESCRIPTION

[0036] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0037] For example, see Figure 1 In this embodiment, a method for diagnosing power failure of a nuclear power unit and assisting decision-making includes the following steps:

[0038] Step S1, sorting out the upstream and downstream data of electrical nodes according to the electrical primary diagram of the nuclear power unit, establishing a structured data table of the electrical primary equipment, storing the structured data table in a graph database, and realizing the digitization of the electrical primary diagram;

[0039] Step S2: Based on the working principle of the electrical equipment of the nuclear power unit, analyze the response of each electrical equipment under different power failure fault types, and establish a knowledge base for power failure analysis of electrical equipment; configure auxiliary decision-making schemes for different power failure fault types based on technical documents related to power failure fault processing, and store the auxiliary decision-making schemes in a knowledge graph manner to establish an auxiliary decision-making knowledge graph;

[0040] Step S3, establishing an auxiliary decision model based on the digitized electrical primary diagram, the power failure analysis knowledge base and the auxiliary decision knowledge graph;

[0041] Step S4, obtaining and preprocessing the power failure state parameters of the nuclear power unit when the power failure occurs, inputting the preprocessed characteristic parameters into the auxiliary decision model to obtain the fault type and the corresponding auxiliary decision.

[0042] The purpose of this embodiment is to provide a method for diagnosing power failures and assisting decision-making in nuclear power units, so as to realize the diagnosis of typical power failure accidents in nuclear power units. First, the electrical primary diagram is sorted out, and the upstream and downstream data of the electrical nodes are sorted out, and a structured data table of the electrical primary equipment is established, which is stored in the graph database. When any electrical equipment in the unit loses power, in order to quickly prompt the impact of the faulty equipment on the unit and the intervention measures, it is necessary to establish a knowledge base for power failure analysis of electrical equipment based on the power failure failure analysis conclusions of the electrical equipment of the unit; at the same time, an auxiliary decision-making scheme is configured based on the relevant technical documents needed for typical power failure fault processing, and the knowledge graph method is used to take the power failure fault type as the entity object, define the relevant attributes, and establish a knowledge graph for auxiliary decision-making of power failure, thereby realizing the construction of a knowledge base for auxiliary decision-making of power failures with all factors. Finally, based on the signs of power failure scenarios, we analyze and select characteristic parameters of typical power failure conditions. We obtain the characteristic parameters from the unit PI system, and perform data cleaning and optimization. Through the auxiliary decision-making model built by the algorithm, after diagnosing a specific power failure, we automatically push power failure fault analysis data based on knowledge and experience and supporting power failure fault handling procedures and other technical documents to assist in handling the unit power failure fault.

[0043] Specifically, the step S1 is as follows:

[0044] According to the electrical primary diagram of the nuclear power unit, the electrical switches, busbars, and power supply load equipment are sorted out, and a structured data table of the electrical primary equipment is established. The structured data table is stored in a graph database, and the physical connections between the electrical nodes are represented by the nodes, relationships, and attributes of the graph database to realize the digitization of the electrical primary diagram. The digitized electrical primary diagram is updated by modifying the structured data table.

[0045] According to the primary electrical drawings of the nuclear power unit, the upstream and downstream relationships of the electrical switches, busbars, power supply load equipment, etc. are sorted out to structure the data of the primary electrical drawings. The physical connection structure is represented by graph database characteristics such as nodes, relationships, and attributes. The two-dimensional topology structure is flexibly updated by modifying the structured data table, and the page layout can be adjusted and saved at will.

[0046] Specifically, the step S1 further includes:

[0047] The electrical nodes are laid out based on the data import mechanism of the structured data table, and a two-dimensional topology diagram is automatically generated.

[0048] The front-end display technology is used to automatically generate a two-dimensional topology map. According to the structured data, through the data import mechanism, the automatic generation of the two-dimensional topology map and the intelligent layout of the nodes are efficiently realized. This process involves close coordination between the front-end and the back-end.

[0049] Specifically, the layout of electrical nodes is performed based on the data import mechanism of the structured data table in step S1, and a two-dimensional topology diagram is automatically generated, which specifically includes:

[0050] The front end receives the data transmitted by the back end and parses it, and uses an automatic layout algorithm to automatically layout each electrical node based on the connection relationship between the electrical nodes in the structured data table, and generates a two-dimensional topological diagram so that the connection relationship between the electrical nodes is intuitively presented;

[0051] An assembly function is set up on the back end to extract and assemble data from the graph database, build a data structure that meets the front-end requirements, and retrieve the required data through a table lookup operation so that the front end can obtain the required data through an HTTP GET request.

[0052] In the front-end part, an advanced automatic layout algorithm is used to present the connection relationship of each node on the graph in an intuitive way, so that the two-dimensional topology map can accurately reflect the internal connection relationship of the data. In order to support this function, the upstream and downstream relationships of the nodes are stored in a relational database in a standard data format to ensure the integrity and accuracy of the data.

[0053] In the backend part, a series of functions are designed to extract data from the database and assemble it to build a data structure that meets the frontend requirements. Through table lookup operations, the required data can be efficiently retrieved and processed accordingly. Finally, the entire backend process is encapsulated as an interface so that the frontend can easily obtain the required data through HTTP GET requests.

[0054] After receiving the graph data returned by the backend, the front end will parse it and pass the relevant parameters to the automatic layout algorithm. Through this algorithm, a two-dimensional topology diagram can be automatically generated based on the connection relationship of the data, and it can be visualized to the user. Specifically, taking the electrical equipment numbered 1LGC001TB in the nuclear power unit as an example, the connection relationship between the incoming and outgoing electrical nodes of the 1LGC001TB busbar is sorted out to construct a structured data table as shown in Table 1. The SBBM column in the structured data table represents the equipment number of the electrical node, MX represents the upstream busbar, JZ represents the unit number, and XYSB represents the downstream equipment node. Import the structured data table into the system to automatically generate a two-dimensional topology diagram of 1LGC001TB as shown in Table 1. Figure 2 shown.

[0055] Table 1.1LGC001TB structured data table

[0056]

[0057] When any electrical equipment in the unit loses power, in order to quickly prompt the impact of the faulty equipment on the unit and the intervention measures, it is necessary to establish an electrical equipment power failure analysis knowledge base based on the power failure fault analysis conclusions of the unit's electrical equipment; at the same time, based on the relevant technical documents needed for typical power failure fault processing, an auxiliary decision-making plan is configured, and the knowledge graph method is used to take the power failure fault type as the entity object, define the relevant attributes, and establish a power failure fault auxiliary decision-making knowledge graph, thereby realizing the construction of a full-factor power failure fault auxiliary decision-making knowledge base.

[0058] Specifically, the electrical equipment power failure analysis knowledge base is established in step S2, specifically:

[0059] Based on the working principle of electrical equipment in nuclear power units, sort out the types of electrical switches and establish an electrical switch type database;

[0060] Based on the electrical switch type database, the response of each electrical device under different power failure fault types is analyzed, and a device status database under different power failure fault types is established to obtain the power failure analysis knowledge base.

[0061] like Figure 3 As shown, the process and method for constructing the power failure analysis knowledge base in this embodiment are as follows:

[0062] First, determine the scope of power failure analysis and the electrical equipment that needs to be analyzed. Then, collect the corresponding technical documents according to the electrical equipment that needs to be analyzed, and conduct analysis based on the technical documents. After analysis, the power failure in this embodiment mainly includes power failure of power supply and instrument control power failure, among which power failure of power supply includes power failure of medium voltage electrical system and power failure of low voltage electrical system, and instrument control power failure includes power failure of 48V instrument control power supply and power failure of 110V instrument control power supply. Then sort out and count the electrical nodes, electrical switches, downstream loads, etc. associated with each type of power failure.

[0063] Specifically, in this embodiment, the working principle of the electrical equipment of the nuclear power unit is first studied, the types of medium-voltage circuit breakers, contactors, and low-voltage electrical switches are sorted out and counted, and a statistical database of electrical switch types is established;

[0064] Then study the unit equipment logic diagram, simulation diagram, and relay protection schematic diagram, analyze the response of each device after the power supply is lost, and establish a statistical database of the overall power supply situation of the unit and the status of related equipment after the power supply is lost;

[0065] Finally, the working principle of the instrumentation and control power supply is studied, and the instrumentation and control power supply of the equipment's incoming power supply electrical switch is counted. According to the type of electrical switch, the status of the corresponding electrical switch after losing the instrumentation and control power supply is analyzed, thereby analyzing the power supply status of the corresponding equipment after the instrumentation and control power supply is lost, and establishing a statistical database of the equipment status corresponding to the instrumentation and control power supply loss.

[0066] Specifically, the auxiliary decision-making knowledge graph is established in step S2, specifically:

[0067] For each type of power failure, a power failure consequence analysis is performed to generate a power failure analysis and risk report, and an auxiliary decision-making plan is configured in combination with the fault handling technical document. The power failure type is used as an entity object in the knowledge graph, and the power failure analysis and risk report as well as the auxiliary decision-making plan configured based on the fault handling technical document are defined as attributes of the entity object to establish the auxiliary decision-making knowledge graph.

[0068] like Figure 3 As shown in the figure, based on the load statistics in the power failure analysis knowledge base, the power failure consequence analysis is carried out to study the unit equipment functions and analyze the impact of the equipment power failure on the unit operation, including the unavailability of system functions caused by equipment failure, the impact on operating parameters and possible automatic actions, the comprehensive impact of redundant equipment on safety functions, technical specifications and related requirements, the risks of power failure, and the intervention measures of auxiliary decision-making solutions based on the configuration of fault handling technical documents, etc., to establish an auxiliary decision-making knowledge map. The fault handling technical documents mainly include fault handling procedures, operating procedures, emergency plans, drawings, experience feedback, etc. The content of auxiliary decision-making includes corresponding procedures, drawings, power failure analysis, experience feedback, etc.

[0069] Specifically, the step S3 is as follows:

[0070] Based on the power failure fault processing process of the nuclear power unit, the power failure fault type is used as an interface to connect the power failure analysis knowledge base and the auxiliary decision-making knowledge graph, and the diagnosis and auxiliary decision-making results are output in the form of a digitized electrical primary diagram.

[0071] The power failure analysis knowledge base and the auxiliary decision-making knowledge graph use the power failure fault type as the connection interface. Specifically, the auxiliary decision-making model is as follows: Figure 4a As shown, different power failure fault types are numbered from 1 to 15. After the power failure analysis knowledge base obtains the corresponding power failure fault type through analysis, the corresponding auxiliary decision is obtained using the power failure fault type number as an interface. The content of the auxiliary decision includes the corresponding regulations, drawings, power failure analysis, experience feedback, etc.

[0072] Specifically, the step S4 is specifically as follows:

[0073] Through the real-time database management system of the nuclear power plant, the state parameters of each electrical equipment of the nuclear power unit are obtained, and data cleaning and optimization are performed. The cleaned and optimized state parameters are input into the power failure analysis knowledge base to obtain the corresponding fault type, and the fault type is input into the auxiliary decision knowledge graph to obtain the corresponding auxiliary decision.

[0074] Analyze the signs of power failure scenarios, select characteristic parameters of typical power failure conditions, obtain characteristic parameters from the unit PI system, perform data cleaning and optimization, and build a typical power failure fault diagnosis model through algorithms. After diagnosing a specific power failure fault, the auxiliary decision model automatically extracts and pushes unstructured, semi-structured, and structured data based on knowledge and experience from the ECM document management system and power failure fault analysis knowledge base to assist in the unit power failure fault processing.

[0075] like Figure 4b As shown, the specific process of automatic diagnosis and automatic decision-making of the auxiliary decision-making model in this embodiment is as follows:

[0076] 1. Obtain the status parameters of the electrical switches, electrical loads, busbars, etc. of the nuclear power unit through the real-time database management system of the nuclear power plant, namely the PI system, and perform data cleaning to monitor the status of the busbar and electrical loads online;

[0077] 2. Power failure judgment conditions:

[0078] 0GEW110JA and 0GEW120JA are disconnected

[0079] GSY001JA disconnect

[0080] LGA001MU=0kV

[0081] LGD001MU=0kV

[0082] LGB001MU=6.6kV

[0083] LGC001MU=6.6kV

[0084] LHA001MU=6.6kV

[0085] LHB001MU=6.6kV

[0086] If all the above conditions are met, the diagnosis is that the power supply outside the main grid is lost, that is, the corresponding Figure 4b In the case of "loss of ST", the corresponding handling procedures for power failure are: I2.1;

[0087] 3. Power failure judgment conditions:

[0088] LGA001MU=0kV

[0089] LGD001MU=0kV

[0090] LGB001MU=0kV

[0091] LGC001MU=0kV

[0092] LHA001MU=6.6kV

[0093] LHB001MU=6.6kV

[0094] If all the above conditions are met, the diagnosis is that all external power sources are lost and two diesel generators are put into use, which corresponds to Figure 4b In the case of "loss of ST+AT", the corresponding processing procedure for power failure is: I2.2;

[0095] 4. Power failure judgment conditions:

[0096] LGA001MU=0kV

[0097] LGD001MU=0kV

[0098] LGB001MU=0kV

[0099] LGC001MU=0kV

[0100] LHA001MU=0kV

[0101] LHB001MU=6.6kV

[0102] If all the above conditions are met, the diagnosis is that the external power supply is lost and the A series diesel engine is unavailable, that is, the corresponding Figure 4bIn the case of "loss of ST+AT+LHA", the corresponding processing procedure for power failure is: I4A;

[0103] 5. Power failure judgment conditions:

[0104] LGA001MU=0kV

[0105] LGD001MU=0kV

[0106] LGB001MU=0kV

[0107] LGC001MU=0kV

[0108] LHA001MU=6.6kV

[0109] LHB001MU=0kV

[0110] If all the above conditions are met, the diagnosis is that the external power supply is lost and the B series diesel engine is unavailable, that is, the corresponding Figure 4b In the case of "losing ST+AT+LHB", the corresponding processing procedure for power failure is: I4B;

[0111] 6. Power failure judgment conditions:

[0112] LHA001MU=0kV

[0113] LHB001MU=0kV

[0114] If all the above conditions are met, it is diagnosed as a power outage in the entire plant, which corresponds to Figure 4b In the “power failure of the whole plant”, the corresponding handling procedures for power failure are: H 3.2;

[0115] 7. Power failure judgment conditions:

[0116] LGA001MU=6.6kV

[0117] LGD001MU=6.6kV

[0118] LGB001MU=6.6kV

[0119] LGC001MU=6.6kV

[0120] LHA001MU=0kV

[0121] LHB001MU=6.6kV

[0122] If all the above conditions are met, the diagnosis is that the LHA switchboard is lost, that is, the corresponding Figure 4b In the case of "loss of LHA", the corresponding handling procedures for power failure are: ILHA;

[0123] 8. Power failure judgment conditions:

[0124] LGA001MU=6.6kV

[0125] LGD001MU=6.6kV

[0126] LGB001MU=6.6kV

[0127] LGC001MU=6.6kV

[0128] LHA001MU=6.6kV

[0129] LHB001MU=0kV

[0130] If all the above conditions are met, the diagnosis is that the LHB switchboard is lost, that is, the corresponding Figure 4b "Lost LHB", the corresponding processing procedures for power failure are: ILHB;

[0131] 9. Power failure judgment conditions:

[0132] LHA001MU=6.6kV

[0133] LHB001MU=6.6kV

[0134] LBA001MU=0V

[0135] If all the above conditions are met, the diagnosis is that the A series 110V DC power supply LBA is lost, which corresponds to Figure 4b In the "LBA lost" event, the corresponding processing procedure for power failure is: I10 A;

[0136] 10. Power failure judgment conditions:

[0137] LHA001MU=6.6kV

[0138] LHB001MU=6.6kV

[0139] LBB001MU=0V

[0140] If all the above conditions are met, the diagnosis is that the B series 110V DC power supply LBB is lost, which corresponds to Figure 4b "Loss of LBB", the corresponding processing procedures for power failure are: I10 B;

[0141] 11. Power failure judgment conditions:

[0142] LHA001MU=6.6 kV

[0143] LHB001MU=6.6 kV

[0144] LCA001MU=0V

[0145] If all the above conditions are met, the diagnosis is that the DC 48V A series is faulty, which corresponds to Figure 4b In the “loss of LCA”, the corresponding handling procedures for power failure are: I9 A;

[0146] 12. Power failure judgment conditions:

[0147] LHA001MU=6.6 kV

[0148] LHB001MU=6.6 kV

[0149] LCB001MU=0V

[0150] If all the above conditions are met, the diagnosis is that the DC 48V B series is faulty, which corresponds to Figure 4b In the case of "lost LCB", the corresponding handling procedures for power failure are: I9 B;

[0151] 13. Power failure judgment conditions:

[0152] KCO001KA appears

[0153] LNA503KA or LNA504KA or ARE060MN shows invalid data on KIC

[0154] If all the above conditions are met, the diagnosis is that the protection power supply LNA 220V AC is powered off, which corresponds to Figure 4b In the case of "LNA loss", the corresponding processing procedure for power failure is: I11 A;

[0155] 14. Power failure judgment conditions:

[0156] KCO001KA appears

[0157] LNB503KA or LNB504KA or ARE057MN shows invalid data on KIC

[0158] If all the above conditions are met, the diagnosis is that the protection power supply LNB 220V AC is powered off, that is, the corresponding Figure 4b In the "LNB lost", the corresponding processing procedures for power failure are: I11 B;

[0159] 15. Power failure judgment conditions

[0160] KCO001KA appears

[0161] LNC503KA or LNC504KA or VVP010MP shows invalid data on KIC

[0162] If all the above conditions are met, the diagnosis is that the protection power supply LNC 220V AC is powered off, which corresponds to Figure 4bIn the case of "LNC lost", the corresponding processing procedure for power failure is: I11 C;

[0163] 16. Power failure judgment conditions:

[0164] KCO001KA appears

[0165] LND503KA or LND504KA or ARE063MN shows invalid data on KIC

[0166] If all the above conditions are met, the diagnosis is that the protection power supply LND 220V AC is powered off, which corresponds to Figure 4b "LND lost", the corresponding processing procedures for power failure are: I11 D;

[0167] 17. Power failure judgment conditions:

[0168] KCO001KA does not appear

[0169] LNE002KA or LNE008KA or loss of control stick position indication

[0170] If all the above conditions are met, the diagnosis is that the protection power supply LNE 220V AC is powered off, which corresponds to Figure 4b "LNE lost", the corresponding handling procedures for power failure are: I11 E;

[0171] After the system diagnoses the fault type, it extracts the corresponding accident, fault handling procedures, electrical primary diagrams and other work files from the ECM document management system; and extracts structured data such as power failure analysis, power failure risk, and equipment basic data from the auxiliary decision-making knowledge graph.

[0172] Specifically, the step S4 further includes:

[0173] The fault type and the corresponding auxiliary decision are output through a digitized electrical primary diagram.

[0174] The above auxiliary decision-making data are presented to users through the digital electrical primary diagram UI interface to guide the handling of power failure faults.

[0175] Embodiment 2: This embodiment provides a nuclear power unit power failure fault diagnosis and auxiliary decision-making device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the nuclear power unit power failure fault diagnosis and auxiliary decision-making method described in Embodiment 1 is implemented.

[0176] The nuclear power unit power failure fault diagnosis and auxiliary decision-making device provided in this embodiment is used to implement the nuclear power unit power failure fault diagnosis and auxiliary decision-making method. Therefore, the technical effects possessed by the nuclear power unit power failure fault diagnosis and auxiliary decision-making method are also possessed by the nuclear power unit power failure fault diagnosis and auxiliary decision-making device, which will not be repeated here.

[0177] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed in the present invention should be covered by the present invention.

Claims

1. A method for diagnosing power failure of a nuclear power unit and assisting decision making, characterized in that: The following steps are involved: Step S1, sorting out the upstream and downstream data of electrical nodes according to the electrical primary diagram of the nuclear power unit, establishing a structured data table of the electrical primary equipment, storing the structured data table in a graph database, and realizing the digitization of the electrical primary diagram; Step S2: Based on the working principle of the electrical equipment of the nuclear power unit, analyze the response of each electrical equipment under different power failure fault types, and establish a knowledge base for power failure analysis of electrical equipment; configure auxiliary decision-making schemes for different power failure fault types based on technical documents related to power failure fault processing, and store the auxiliary decision-making schemes in a knowledge graph manner to establish an auxiliary decision-making knowledge graph; Step S3, establishing an auxiliary decision model based on the digitized electrical primary diagram, the power failure analysis knowledge base and the auxiliary decision knowledge graph; Step S4, obtaining power failure state parameters of the nuclear power unit when a power failure occurs and preprocessing them, inputting the preprocessed characteristic parameters into the auxiliary decision model to obtain the fault type and the corresponding auxiliary decision; The step S1 further includes: Based on the data import mechanism of the structured data table, the layout of electrical nodes is performed to automatically generate a two-dimensional topological diagram; In step S1, the layout of electrical nodes is performed based on the data import mechanism of the structured data table, and a two-dimensional topology diagram is automatically generated, which specifically includes: The front end receives the data transmitted by the back end and parses it, and uses an automatic layout algorithm to automatically layout each electrical node based on the connection relationship between the electrical nodes in the structured data table, and generates a two-dimensional topological diagram so that the connection relationship between the electrical nodes is intuitively presented; An assembly function is set up on the back end to extract and assemble data from the graph database, build a data structure that meets the front-end requirements, and retrieve the required data through a table lookup operation so that the front end can obtain the required data through an HTTP GET request.

2. The method for diagnosing power failure and assisting decision-making of a nuclear power unit according to claim 1, characterized in that: The step S1 is specifically: According to the electrical primary diagram of the nuclear power unit, the electrical switches, busbars, and power supply load equipment are sorted out, and a structured data table of the electrical primary equipment is established. The structured data table is stored in a graph database, and the physical connections between the electrical nodes are represented by the nodes, relationships, and attributes of the graph database to realize the digitization of the electrical primary diagram. The digitized electrical primary diagram is updated by modifying the structured data table.

3. The method for diagnosing power failure and assisting decision-making of a nuclear power unit according to claim 1, characterized in that: The step S2 is to establish a knowledge base for power failure analysis of electrical equipment, specifically: Based on the working principle of electrical equipment in nuclear power units, sort out the types of electrical switches and establish an electrical switch type database; Based on the electrical switch type database, the response of each electrical device under different power failure fault types is analyzed, and a device status database under different power failure fault types is established to obtain the power failure analysis knowledge base.

4. The method for diagnosing power failure and assisting decision-making of a nuclear power unit according to claim 1, characterized in that: The step S2 is to establish a decision-making support knowledge graph, specifically: For each type of power failure, a power failure consequence analysis is performed to generate a power failure analysis and risk report, and an auxiliary decision-making plan is configured in combination with the fault handling technical document. The power failure type is used as an entity object in the knowledge graph, and the power failure analysis and risk report as well as the auxiliary decision-making plan configured based on the fault handling technical document are defined as attributes of the entity object to establish the auxiliary decision-making knowledge graph.

5. The method for diagnosing power failure and assisting decision-making of a nuclear power unit according to claim 1, characterized in that: The step S3 is specifically: Based on the power failure fault processing process of the nuclear power unit, the power failure fault type is used as an interface to connect the power failure analysis knowledge base and the auxiliary decision-making knowledge graph, and the diagnosis and auxiliary decision-making results are output in the form of a digitized electrical primary diagram.

6. The method for diagnosing power failure and assisting decision-making of a nuclear power unit according to claim 1, characterized in that: The step S4 is specifically: Through the real-time database management system of the nuclear power plant, the state parameters of each electrical equipment of the nuclear power unit are obtained, and data cleaning and optimization are performed. The cleaned and optimized state parameters are input into the power failure analysis knowledge base to obtain the corresponding fault type, and the fault type is input into the auxiliary decision knowledge graph to obtain the corresponding auxiliary decision.

7. The method for diagnosing power failure and assisting decision-making of a nuclear power unit according to claim 1, characterized in that: The step S4 further includes: The fault type and the corresponding auxiliary decision are output through a digitized electrical primary diagram.

8. A nuclear power unit power failure fault diagnosis and auxiliary decision-making device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the nuclear power unit power failure fault diagnosis and auxiliary decision-making method as described in any one of claims 1 to 7 is implemented.

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