A knowledge graph-based nuclear power equipment management system

Abstract

This invention discloses a nuclear power equipment management system based on a knowledge graph, belonging to the field of equipment management technology. It includes an equipment monitoring system, an equipment management system, a major overhaul management system, and a spare parts management system. Through these methods, the equipment monitoring system comprehensively collects equipment operation information via sensors and inspection robots; the equipment management system scientifically divides risk areas, quantitatively assesses and dynamically adjusts equipment failure factors, radiation factors, and human factors, and achieves accurate equipment fault diagnosis through AI-based comparative recognition; the knowledge graph construction module generates a knowledge graph to assist in maintenance; and the central control module combines the knowledge graph to provide maintenance methods, thereby improving overall management and operation efficiency.

Description

Technical Field

[0001] This invention relates to the field of equipment management technology, and more specifically to a nuclear power equipment management system based on knowledge graphs. Background Technology

[0002] Critical and sensitive equipment in a nuclear power plant refers to equipment that plays a vital role in the safety, reliability, and economy of the plant during operation, and whose failure or abnormality could lead to serious consequences. This equipment typically performs core functions in the plant's process flow, directly affecting the normal operation of the reactor, energy conversion, and power generation. For example, the reactor pressure vessel, a critical component housing the reactor core, withstands high temperatures, high pressures, and intense radiation; its integrity and sealing must be guaranteed to prevent the leakage of radioactive materials.

[0003] For example, patent CN109358583A discloses a method for preventing the failure of critical sensitive equipment in nuclear power units, ensuring the reliability and safety of nuclear power unit operation. The main steps are as follows: Step 1: Identify SPV equipment. Identify equipment whose failure, even a single component, could lead to reactor shutdown, power outage, power reduction, or significant power fluctuations, based on relevant equipment classification guidelines. Step 2: Identify sensitive components. Collect data, conduct vulnerability analysis on the SPV equipment, and use fault tree analysis for identification. Step 3: Analyze mitigation strategies. Analyze mitigation strategies in four aspects: operation, isolation, maintenance, and technology. Step 4: Develop corrective actions. Step 5: Daily management of the SPV.

[0004] However, the above technology has the following problems: First, it cannot conduct inspections of the area where the equipment is located based on the actual situation;

[0005] Second, it is impossible to plan robot inspection routes based on the equipment in a nuclear power plant;

[0006] Third, it cannot automatically identify equipment faults and automatically generate fault solutions;

[0007] Fourth, it cannot automatically replenish the maintenance spare parts warehouse.

[0008] Based on this, the present invention designs a nuclear power equipment management system based on knowledge graphs to solve the above problems. Summary of the Invention

[0009] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a nuclear power equipment management system based on knowledge graph.

[0010] To achieve the above objectives, the present invention provides the following technical solution:

[0011] A knowledge graph-based nuclear power equipment management system includes an equipment monitoring system, an equipment management system, an overhaul management system, and a spare parts management system.

[0012] The equipment monitoring system and spare parts management system are both connected to the equipment management system;

[0013] The equipment management system is used to receive equipment information uploaded by the equipment monitoring system, divide risk areas, plan inspection routes, generate knowledge graphs, analyze video information of faulty equipment, generate solutions, and send them to the operation and maintenance engineers.

[0014] The equipment management system includes a region division module for dividing equipment risk areas and dynamically adjusting them, an equipment analysis and management module for receiving equipment operation information, a knowledge graph construction module, an equipment identification generation module, and a central control module.

[0015] The region division module includes a region judgment unit, a risk region rating unit, and a robot route planning unit;

[0016] The area determination unit receives equipment data from the equipment analysis and management module and obtains a factory equipment distribution map. It then defines a square area A where the equipment exists, and divides the risk area within area A into... , , ... , This represents the total number of risk areas.

[0017] Risk area rating unit, through failure factors radiation factor and human factors Calculate the risk value of a single device , Then calculate the sum of the risk values ​​of equipment within the area. and will Risk value of each region The risk areas are divided by sorting them from largest to smallest.

[0018] The robot route planning unit plans paths based on the principles of proximity and priority for faulty equipment, enabling the inspection robot to inspect equipment within the area.

[0019] Furthermore, the equipment monitoring system includes a data acquisition module, a data processing module, a communication module, and an inspection robot;

[0020] The data acquisition module 11 is installed on the equipment to collect equipment radiation information, personnel contact information and location information;

[0021] The data collected by the data acquisition module is uploaded to the data processing module for data cleaning and processing.

[0022] The inspection robot collects equipment name, model, technical parameters, basic equipment operating information, and video information when equipment malfunctions, and uploads it to the data processing module for data cleaning and processing. The inspection robot is wirelessly connected to the central control module and receives instructions to re-record video information.

[0023] The data processing module uploads the processed data to the device management system via the communication module;

[0024] The data acquisition module is electrically connected to the data processing module, the inspection robot is wirelessly connected to the data processing module, the data processing module is electrically connected to the communication module, the communication module is connected to the equipment management system, and the controller of the inspection robot is connected to the equipment management system.

[0025] Furthermore, the area judgment unit receives equipment data information from the equipment analysis and management module and obtains a factory equipment distribution map to classify risk areas;

[0026] The specific method for division is as follows: D1, obtain the coordinate values ​​of the equipment in the factory area;

[0027] D2. Obtain the coordinates of the four outermost devices in the east, west, south, and north directions of the factory area. Using these four devices as a reference, define a square area A where the devices exist. This area covers all the devices in the factory area.

[0028] D3. Within the identified equipment location area A, divide the area into multiple risk zones using squares with side length R. Each risk zone is R×R in size.

[0029] D4. Number the identified risk areas sequentially. , , ... , This represents the total number of risk areas.

[0030] D5. Assign each device to the risk zone where it is located;

[0031] D6. For equipment located at the boundary of risk areas, compare the number of equipment within the area and classify the equipment into the area with the most equipment.

[0032] If the number of devices within a region is equal, they will be assigned to the region with the smaller risk area number.

[0033] Furthermore, the risk area rating unit receives the failure frequency of equipment per unit time from the overhaul management system. At the same time, the average failure frequency of similar equipment was obtained. ;

[0034] Fault factors The calculation formula is as follows:

[0035] ;

[0036] The data acquisition module collects the radiation dose rate of the area where the equipment is located in real time. Combined with the radiation tolerance dose threshold of the equipment ;

[0037] radiation factor The calculation formula is as follows:

[0038] ;

[0039] The data acquisition module counts the number of times a person actually comes into contact with the equipment per unit time.

[0040] Human factors The calculation formula is as follows:

[0041] ;

[0042] Among them, the standard contact number threshold ;

[0043] Risk value of a single device + + ;

[0044] Then calculate the sum of the risk values ​​of equipment within the area. , This refers to the number of devices.

[0045] Furthermore, the risk area rating unit combines the risk values ​​of multiple areas. Sort the data from largest to smallest, following the following rules:

[0046] In the top 20% Classified as a Level 1 risk area;

[0047] Located in 20%-50% Classified as a level 2 risk area;

[0048] Located in 50%-80% The area has been reclassified as a Level 3 risk zone.

[0049] Located above 80% Reassigned to a regular area;

[0050] The risk area rating unit then uploads the rating results to the equipment identification generation module.

[0051] Furthermore, the robot route planning unit plans paths based on proximity, enabling the inspection robot to inspect equipment within the area.

[0052] Route planning methods within a single area:

[0053] S1, Risk value of equipment within the area Sort by size from largest to smallest, and set a route adjustment threshold. ,Will and Compare;

[0054] This represents the maximum risk value within this region. This represents the minimum risk value within this region.

[0055] S2, if ;

[0056] The inspection robot then plans its path according to the principle of proximity and inspects the equipment in the area in sequence.

[0057] S3, if ;

[0058] Then continue searching for whether it exists in the area. , making ;

[0059] If it exists Then to The equipment is inspected sequentially according to the principle of proximity, and the remaining equipment is inspected according to its risk value. Sort the paths according to their size order;

[0060] If it does not exist Then continue searching for whether it exists in the area. , making ;

[0061] If it exists Then to The equipment is inspected sequentially according to the principle of proximity, and the remaining equipment is inspected according to its risk value. Sort the paths according to their size order;

[0062] If it does not exist Then, based on the equipment risk value within the region. The size is inspected during the patrol.

[0063] If both exist , The inspection robot will then plan its path according to the principle of proximity and inspect the equipment in the area in sequence.

[0064] Furthermore, the route planning method based on the faulty equipment priority principle is as follows:

[0065] When the inspection robot is inspecting equipment within its area, if equipment in other areas malfunctions, it first compares the risk level of the area where the malfunctioning equipment is located with that of the inspection equipment. If the risk level of the inspection equipment's area is higher, the inspection robot will complete the inspection of the inspection equipment. After all the equipment in the area where the inspection equipment is located is inspected, the malfunctioning equipment will be inspected. If the risk level of the malfunctioning equipment's area is higher, the inspection robot will directly inspect the malfunctioning equipment.

[0066] If the risk levels are the same, the total risk value of the area where the inspection equipment is located is compared with the total risk value of the area where the faulty equipment is located. If the total risk value of the area where the faulty equipment is located is higher, the inspection robot will directly inspect the faulty equipment. If the total risk value of the area where the inspection equipment is located is higher, the inspection robot will complete the inspection of the inspection equipment. After all the equipment in the area where the inspection equipment is located is inspected, the faulty equipment will be inspected.

[0067] If the sums are equal, the risk values ​​of the inspected equipment and the faulty equipment are compared. If the risk value of the inspected equipment is higher, all equipment in the area where the inspected equipment is located will be inspected before the faulty equipment is inspected. If the risk value of the faulty equipment is higher, the inspection robot will directly inspect the faulty equipment.

[0068] Furthermore, the device analysis and management module includes a device identification unit, a video analysis unit, an image capture unit, an AI comparison and recognition unit, and an image database;

[0069] The equipment identification unit is used to receive equipment name, model, technical parameter information, location information, temperature information, radiation information, personnel contact information, and historical maintenance information of the equipment from the communication module and the overhaul management system. The equipment identification unit uploads the received equipment name, model, technical parameter information, and historical maintenance information to the knowledge graph construction module, and uploads the received equipment name, model, technical parameter information, location information, radiation information, personnel contact information, and historical maintenance information to the area judgment unit.

[0070] The device identification unit and the communication module are wirelessly connected.

[0071] The video analysis unit is used to receive video information of faulty devices from the communication module and upload it to the image capture unit;

[0072] The image capture unit is used to receive video information and capture image information from the device, which is then uploaded to the AI ​​comparison and recognition unit.

[0073] The AI ​​comparison and recognition unit receives equipment image information and compares it with equipment fault image information in the image database to identify the location and information of the equipment fault and generate equipment maintenance information, which is then uploaded to the central control module. The central control module obtains maintenance methods based on the equipment knowledge graph in the knowledge graph construction module and then sends them to the maintenance engineer.

[0074] Furthermore, the inventory recording module is used to record the remaining inventory of spare parts for the equipment;

[0075] If the inventory recording module detects that the number of spare parts in stock is lower than the spare parts warning threshold G, the inventory recording module sends data information to the central control module, and the central control module purchases the corresponding spare parts through the spare parts purchasing module.

[0076] The spare parts outbound record module is used to record the usage status of equipment spare parts;

[0077] If the spare parts outbound record module detects that the consumption of a certain spare part exceeds the consumption warning threshold Y within a specified time t (e.g., within 2 days), the spare parts outbound record module sends data information to the central control module, and the central control module makes the purchase through the spare parts purchase module.

[0078] The spare parts purchasing module is a shopping software used to purchase spare parts.

[0079] Furthermore, when S is lower than G, spare parts need to be purchased to bring the inventory to M;

[0080] Purchase quantity based on remaining inventory for:

[0081] ;

[0082] Exceeding the consumption warning threshold within t The consumption is: ;

[0083] Average consumption per unit time ;

[0084] The estimated consumption within the subsequent reserved time t0 (t0=t) ;

[0085] Purchase quantity based on spare parts consumption for:

[0086] ;

[0087] Taking both scenarios into consideration, the final purchase quantity N is... and The maximum value among them, because considering only one of the cases may lead to insufficient inventory.

[0088] The total purchase volume N is: ;

[0089] S: Current remaining inventory of spare parts, G: Spare parts warning threshold, M: Specified inventory quantity, C: Actual consumption of a spare part within a specified time, Y: Consumption warning threshold, t: Specified time length, t0: Subsequent reserved time length.

[0090] Compared with the prior art, the beneficial effects of this invention are as follows: 1. The data acquisition module of the equipment monitoring system is equipped with a variety of sensors, which can collect information such as equipment pressure, sound, vibration, temperature, and position. The inspection robot can collect information such as equipment name, model, technical parameters, environmental radiation, and fault videos, so as to fully grasp the equipment operating status.

[0091] 2. The regional division module of the equipment management system, through the regional judgment unit, risk area rating unit and robot route planning unit, comprehensively considers equipment failure factors, radiation factors and human factors to classify the risk level of the nuclear power unit area, and can adjust it according to dynamic changes, providing a scientific basis for risk control.

[0092] 3. The AI ​​comparison and recognition unit in the equipment analysis and management module compares the equipment image information with the image database, which can identify the location and information of equipment faults and generate maintenance information. For cases that are not identified, the fault information is continuously improved by re-photographing by the inspection robot and manual judgment, thereby improving the accuracy of fault diagnosis.

[0093] 4. The knowledge graph construction module generates a knowledge graph of equipment relationships. The central control module combines the knowledge graph to obtain maintenance methods and sends them to the maintenance engineer's end to provide reference for equipment maintenance and improve maintenance efficiency. The overhaul management system records the equipment's historical maintenance information (maintenance time, number of times, methods, replacement parts, etc.) to facilitate subsequent query and analysis. At the same time, the maintenance information is updated to the knowledge graph construction module to continuously improve the equipment knowledge system.

[0094] 5. The inventory record module and spare parts outbound record module of the spare parts management system monitor spare parts inventory and consumption by setting warning thresholds, and trigger the purchase mechanism in a timely manner to ensure that the spare parts inventory is reasonable and avoid equipment maintenance due to spare parts shortage. At the same time, the final purchase quantity is determined by comprehensively considering the remaining inventory and spare parts consumption, thereby improving the scientific nature of inventory management. Attached Figure Description

[0095] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0096] Figure 1 This invention provides a connection frame for a knowledge graph-based nuclear power equipment management system. Figure 1 ;

[0097] Figure 2 This is a connection block diagram of the equipment monitoring system of the present invention;

[0098] Figure 3 This is a connection block diagram of the equipment management system and the equipment monitoring system of the present invention;

[0099] Figure 4 This invention provides a connection frame for a knowledge graph-based nuclear power equipment management system. Figure 2 ;

[0100] Figure 5 This is a table for calculating the equipment risk value of the present invention;

[0101] Figure 6 This is a schematic diagram of the knowledge graph construction of the present invention. Figure 1 ;

[0102] Figure 7 This is a schematic diagram of the knowledge graph construction of the present invention. Figure 2 ;

[0103] Figure 8 This is a schematic diagram of the electronic identification code of the present invention.

[0104] The labels in the diagram represent:

[0105] 1. Equipment Monitoring System; 11. Data Acquisition Module; 12. Data Processing Module; 13. Communication Module; 14. Inspection Robot; 2. Equipment Management System; 21. Area Division Module; 211. Area Judgment Unit; 212. Risk Area Rating Unit; 213. Robot Route Planning Unit; 22. Equipment Analysis and Management Module; 221. Equipment Identification Unit; 222. Video Analysis Unit; 223. Image Capture Unit; 224. AI Comparison and Recognition Unit; 225. Image Database; 23. Knowledge Graph Construction Module; 24. Equipment Identification Generation Module; 25. Central Control Module; 3. Overhaul Management System; 4. Spare Parts Management System; 41. Inventory Record Module; 42. Spare Parts Outbound Record Module; 43. Spare Parts Purchase Module. Detailed Implementation

[0106] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0107] Example 1: In some embodiments, please refer to the accompanying drawings. Figures 1-8 A knowledge graph-based nuclear power equipment management system includes an equipment monitoring system 1, an equipment management system 2, an overhaul management system 3, and a spare parts management system 4.

[0108] Equipment monitoring system 1 is used to collect equipment information and upload it to equipment management system 2. Equipment monitoring system 1 and equipment management system 2 are wirelessly connected.

[0109] The equipment information includes equipment name, model, technical parameters, pressure information, sound information, vibration information, temperature information, location information, radiation information, personnel contact information, and equipment video information;

[0110] Preferably, the equipment monitoring system 1 includes a data acquisition module 11, a data processing module 12, a communication module 13, and an inspection robot 14;

[0111] The data acquisition module 11 is installed on the equipment to collect equipment radiation information, personnel contact information and location information;

[0112] The data collected by the data acquisition module 11 is uploaded to the data processing module 12 for data cleaning and processing;

[0113] Preferably, the data acquisition module 11 is a sensor module, including a radiation sensor, a camera, and a position sensor.

[0114] The inspection robot 14 collects equipment name, model, technical parameters, basic equipment operating information, and video information when equipment malfunctions and uploads it to the data processing module 12 for data cleaning and processing. The inspection robot 14 is wirelessly connected to the central control module 25 and receives instructions to re-record video information.

[0115] The basic operating information of the equipment includes pressure information, sound information, vibration information, and temperature information;

[0116] Preferably, the controller of the inspection robot 14 is connected to the equipment management system 2;

[0117] The inspection robot 14 adopts existing mature technologies and integrates functions such as environmental status detection, visual inspection, data recording and transmission, autonomous navigation and obstacle avoidance, emergency response and remote control.

[0118] The data processing module 12 uploads the processed data to the device management system 2 via the communication module 13;

[0119] The data acquisition module 11 is electrically connected to the data processing module 12, the inspection robot 14 is wirelessly connected to the data processing module 12, the data processing module 12 is electrically connected to the communication module 13, and the communication module 13 is connected to the equipment management system 2.

[0120] The equipment management system 2 is used to receive equipment information uploaded by the equipment monitoring system 1, divide risk areas, generate planned routes for the inspection robot 14, generate knowledge graphs, analyze video information of faulty equipment, generate solutions, and send them to the operation and maintenance engineer.

[0121] Preferably, the equipment management system 2 is an equipment fault diagnosis and analysis platform;

[0122] The equipment management system 2 includes a region division module 21, an equipment analysis and management module 22, a knowledge graph construction module 23, an equipment identification generation module 24, and a central control module 25;

[0123] The equipment analysis and management module 22 is used to receive equipment name, model, technical parameter information and location information from the communication module 13 and upload them to the area division module 21 and the knowledge graph construction module 23;

[0124] The area division module 21 is used to receive the device name, model, technical parameter information, and location information, and to determine the area where the device is located. The area division module 21 can also divide the risk area where the device is located and dynamically adjust the risk area based on the device itself and environmental information.

[0125] Preferably, the region division module 21 includes a region judgment unit 211, a risk region rating unit 212, and a robot route planning unit 213;

[0126] The area judgment unit 211 receives equipment data information from the equipment analysis and management module 22 and obtains a factory equipment distribution map to divide risk areas.

[0127] The specific method for division is as follows: D1, obtain the coordinate values ​​of the equipment in the factory area;

[0128] D2. Obtain the coordinates of the four outermost devices in the east, west, south, and north directions of the factory area. Using these four devices as a reference, define a square area A where the devices exist. This area covers all the devices in the factory area.

[0129] D3. Within the identified equipment location area A, divide the area into multiple risk zones using squares with side length R. Each risk zone is R×R in size.

[0130] D4. Number the identified risk areas sequentially. , , ... , This represents the total number of risk areas.

[0131] D5. Assign each device to the risk zone where it is located;

[0132] D6. For equipment located at the boundary of risk areas, compare the number of equipment within the area and classify the equipment into the area with the most equipment.

[0133] If the number of devices within a region is equal, they will be assigned to the region with the smaller risk area number.

[0134] For example, , There is a piece of equipment at the junction. There are 15 devices in the area. There are 10 devices in the area, due to The area has the most devices, so this device located at the boundary will be assigned to [a specific area / region]. area.

[0135] Let's assume another device is in and The boundary between the two areas. Region and There are 12 devices in each area. Since the two areas have the same number of devices, according to the rule of "assigning devices to the area with the smaller device number," this device will be assigned to... area.

[0136] Risk area rating unit 212 scores and calculates the equipment within the risk area. The equipment scoring criteria include three factors: failure factor. radiation factor and human factors Then calculate the risk value. , ;

[0137] Risk area rating unit 212 receives the failure frequency of equipment per unit time in the overhaul management system. At the same time, the average failure frequency of similar equipment was obtained. ;

[0138] Therefore, the failure factor The calculation formula is as follows:

[0139] ;

[0140] Data acquisition module 11 collects the radiation dose rate of the area where the equipment is located in real time. Combined with the radiation tolerance dose threshold of the equipment ;

[0141] radiation factor The calculation formula is as follows:

[0142] ;

[0143] The data acquisition module 11 counts the number of times a person actually comes into contact with the equipment per unit time.

[0144] Human factors The calculation formula is as follows:

[0145] ;

[0146] Among them, the standard contact number threshold ;

[0147] Risk value of a single device + + ;

[0148] Then calculate the sum of the risk values ​​of equipment within the area. , For the number of devices, Risk value of each region Sort from largest to smallest;

[0149] In the top 20% The area is classified as a Level 1 risk zone, where equipment failures are frequent and have significant impacts. The environment is harsh, and personnel activities are frequent and can easily affect the equipment. For Level 1 risk zones, the inspection cycle time of inspection robot 14 is h hours.

[0150] Located in 20%-50% The area is classified as a Level 2 risk zone, indicating a certain risk of equipment failure, a challenging environment, or potential impact from personnel activities. For Level 2 risk zones, the inspection cycle time for inspection robot 14 is [time missing]. h hours;

[0151] Located in 50%-80% The area is classified as a Level 3 risk zone, where equipment failures occur less frequently and have a smaller impact, and personnel activities cause minimal interference to the equipment. For this Level 3 risk zone, the inspection cycle time for inspection robot 14 is [time missing]. h hours;

[0152] Located above 80% In areas designated as general zones, equipment failures occur less frequently and have minimal impact. These areas are in stable environments with minimal disruption from personnel activity. For general zones, the inspection cycle time for inspection robot 14 is [time missing]. h hours;

[0153] The risk area rating unit 212 then uploads the rating results to the equipment identification generation module 24;

[0154] The equipment identification generation module 24 assigns numbers to the equipment in the ordinary area, the risk level 3 area, the risk level 2 area, and the risk level 1 area respectively.

[0155] The numbering rules are as follows: Equipment in the first-level risk area starts with "GR"; equipment in the second-level risk area starts with "ZR"; equipment in the third-level risk area starts with "DR"; and equipment in the ordinary area starts with "PR".

[0156] The equipment number can be supplemented later based on the equipment's technical parameters and other information to form a unique equipment number. For example, the technical parameter code of a certain piece of equipment in a risk level 1 area is 10, and its complete number is "GR-010".

[0157] like Figure 8 As shown in the figure, the electronic identification codes of the equipment in different areas are arranged from largest to smallest according to the equipment risk value Y.

[0158] The robot route planning unit 213 plans a path based on the principle of proximity and the principle of prioritizing faulty equipment, so that the inspection robot 14 can inspect the equipment within the area.

[0159] Route planning methods within a single area:

[0160] S1, Risk value of equipment within the area Sort by size from largest to smallest, and set a route adjustment threshold. ,Will and Compare;

[0161] This represents the maximum risk value within this region. This represents the minimum risk value within this region.

[0162] S2, if ;

[0163] The inspection robot 14 then plans its route according to the principle of proximity and inspects the equipment in the area in sequence.

[0164] S3, if ;

[0165] Then continue searching for whether it exists in the area. , making ;

[0166] If it exists Then to The equipment is inspected sequentially according to the principle of proximity, and the remaining equipment is inspected according to its risk value. Sort the paths according to their size order;

[0167] If it does not exist Then continue searching for whether it exists in the area. , making ;

[0168] If it exists Then to The equipment is inspected sequentially according to the principle of proximity, and the remaining equipment is inspected according to its risk value. Sort the paths according to their size order;

[0169] If it does not exist Then, based on the equipment risk value within the region. The size is inspected during the patrol.

[0170] If both exist , Then, the inspection robot 14 will plan its path according to the principle of proximity and inspect the equipment in the area in sequence.

[0171] The route planning method based on the principle of prioritizing faulty equipment is as follows:

[0172] When the inspection robot 14 is inspecting the equipment in the area, if the equipment in other areas malfunctions, it first compares the risk level of the area where the malfunctioning equipment is located with the risk level of the area where the inspection equipment is located. If the risk level of the area where the inspection equipment is located is higher, the inspection robot 14 will complete the inspection of the inspection equipment. After all the equipment in the area where the inspection equipment is located is inspected, the malfunctioning equipment will be inspected. If the risk level of the area where the malfunctioning equipment is located is higher, the inspection robot 14 will directly inspect the malfunctioning equipment.

[0173] If the risk area where the faulty equipment is located has the same risk level as the risk area where the inspection equipment is located, then the sum of the risk values ​​of the area where the inspection equipment is located is compared with the sum of the risk values ​​of the area where the faulty equipment is located. If the sum of the risk values ​​of the area where the faulty equipment is located is higher, then the inspection robot 14 directly inspects the faulty equipment. If the sum of the risk values ​​of the area where the inspection equipment is located is higher, then the inspection robot 14 completes the inspection of the inspection equipment. After all the equipment in the area where the inspection equipment is located is inspected, the faulty equipment is then inspected.

[0174] If the sum of risk values ​​in the area where the inspection equipment is located is equal to the sum of risk values ​​in the area where the faulty equipment is located, then the risk values ​​of the inspection equipment and the faulty equipment are compared. If the risk value of the inspection equipment is higher, then all equipment in the area where the inspection equipment is located will be inspected before the faulty equipment is inspected. If the risk value of the faulty equipment is higher, then the inspection robot 14 will directly inspect the faulty equipment.

[0175] The robot route planning unit 213 is connected to the inspection robot 14 and dynamically adjusts the route planning of the inspection robot 14.

[0176] The device identification generation module 24 is used to receive device information and device location information from the region division module 21 and the device analysis and management module 22, generate an electronic device identification code, and upload it to the knowledge graph construction module 23.

[0177] The knowledge graph construction module 23 is used to receive data information from the device analysis and management module 22 and the device identification generation module 24 to generate a knowledge graph of device relationships.

[0178] Please see Figure 6 The knowledge graph includes equipment name, region type, operating parameters, spare parts name, failure mode, and maintenance strategy. The relationships between them are inclusion, cause, and association. For example, the region type includes the equipment name, the equipment name includes the spare parts name, and the equipment name is associated with the operating parameters.

[0179] Please see Figure 7 In the knowledge graph of nuclear reactor GR-001, the relationships are as follows: nuclear reactor GR-001 includes the risk area GR, core, pressure vessel, and control rod assembly; the causal relationship is that insufficient core cooling and fuel rod damage will lead to core problems, which is a causal relationship of failure; the correlation relationship is that insufficient core cooling is related to improving the cooling system, and fuel rod damage is related to replacing fuel rods; nuclear reactor GR-001 is related to core temperature and core pressure, which is a correlation between failure and maintenance strategy, equipment and operating parameters.

[0180] The central control module 25 receives equipment fault diagnosis information from the equipment analysis and management module 22, and also receives the knowledge graph generated by the knowledge graph construction module 23. The central control module 25 combines the equipment fault diagnosis information with the maintenance information in the knowledge graph to generate maintenance methods and send them to the operation and maintenance engineer. At the same time, the equipment maintenance records are uploaded to the overhaul management system 3.

[0181] The central control module 25 is wirelessly connected to the inspection robot 14 to transmit instructions to the inspection robot 14 to re-record video information. The central control module 25 is also connected to the spare parts management system 4.

[0182] Preferably, the device analysis and management module 22 includes a device identification unit 221, a video analysis unit 222, an image capture unit 223, an AI comparison and recognition unit 224, and an image database 225;

[0183] The equipment identification unit 221 is used to receive equipment name, model, technical parameter information, location information, temperature information, radiation information, personnel contact information and historical maintenance information of the equipment from the communication module 13 and the overhaul management system 3. The equipment identification unit 221 uploads the received equipment name, model, technical parameter information and historical maintenance information to the knowledge graph construction module 23, and uploads the received equipment name, model, technical parameter information, location information, radiation information, personnel contact information and historical maintenance information to the area judgment unit 211.

[0184] The video analysis unit 222 is used to receive video information of faulty equipment in the communication module 13 and upload it to the image capture unit 223;

[0185] The image capture unit 223 is used to receive video information and capture device image information and upload it to the AI ​​comparison and recognition unit 224;

[0186] AI comparison and recognition unit 224 is used to receive equipment image information and compare it with equipment fault image information in image database 225 to identify equipment fault location and fault information, and generate equipment maintenance information and upload it to central control module 25. Central control module 25 obtains maintenance method based on equipment knowledge graph in knowledge graph construction module 23 and then sends it to maintenance engineer terminal.

[0187] If the AI ​​comparison and recognition unit 224 fails to identify the equipment fault information, the central control module 25 sends information to the inspection robot 14. The inspection robot 14 then re-captures video information, which is then uploaded to the video analysis unit 222 via the data processing module 12 and the communication module 13. The video analysis unit 222 then uploads the video information to the image capture unit 223 and the AI ​​comparison and recognition unit 224. If the AI ​​comparison and recognition unit 224 still fails to identify the equipment fault information, the video analysis unit 222 directly sends the two video segments to the maintenance engineer for manual judgment.

[0188] If the maintenance engineer determines that the equipment is faulty, the engineer will upload the information to the central control module 25. The central control module 25 will then update the equipment fault information in the AI ​​comparison and recognition unit 224. At the same time, when the maintenance engineer repairs the equipment, the central control module 25 will upload the equipment repair information to the overhaul management system 3 for recording. The overhaul management system 3 will then update the equipment repair information to the knowledge graph construction module 23.

[0189] If the maintenance engineer cannot determine the equipment fault information, the maintenance engineer will go to the site to make a judgment and handle it. After handling, the cause of the equipment fault and the handling method will be uploaded to the central control module 25, and the central control module 25 will synchronize it to the overhaul management system 3.

[0190] The overhaul management system 3 is used to record historical maintenance information of equipment, including maintenance time, number of maintenances, maintenance methods, and replacement parts;

[0191] The spare parts management system 4 includes an inventory recording module 41, a spare parts outbound recording module 42, and a spare parts purchasing module 43. The inventory recording module 41, the spare parts outbound recording module 42, and the spare parts purchasing module 43 are all electrically connected to the central control module 25.

[0192] Inventory recording module 41 is used to record the remaining inventory of equipment spare parts;

[0193] If the inventory recording module 41 detects that the number of spare parts in stock is lower than the spare parts warning threshold G, the inventory recording module 41 sends data information to the central control module 25, and the central control module 25 purchases the corresponding spare parts through the spare parts purchasing module 43.

[0194] Spare parts outbound record module 42 is used to record the usage of equipment spare parts;

[0195] If the spare parts outbound record module 42 detects that the consumption of a certain spare part exceeds the consumption warning threshold Y within a specified time t (e.g., within 2 days), the spare parts outbound record module 42 sends data information to the central control module 25, and the central control module 25 makes the purchase through the spare parts purchase module 43.

[0196] The spare parts purchase module 43 is a shopping software used to purchase spare parts.

[0197] Example 2: In some embodiments, such as Figure 4 As shown, in a preferred embodiment of the present invention, the spare parts purchasing rules of the spare parts purchasing module 43 are as follows;

[0198] Purchase quantity based on remaining inventory The calculation method is as follows:

[0199] When S is lower than G, spare parts need to be purchased to bring the inventory to M.

[0200] ;

[0201] Purchase quantity based on spare parts consumption The calculation method is as follows:

[0202] Exceeding the consumption warning threshold within t The consumption is: ;

[0203] Average consumption per unit time ;

[0204] The estimated consumption within the subsequent reserved time t0 (t0=t) ;

[0205] ;

[0206] Taking both scenarios into consideration, the final purchase quantity N is... and The maximum value among them is taken because considering only one scenario might lead to insufficient inventory. The total purchase quantity N is:

[0207] ;

[0208] S: Current remaining inventory of spare parts, G: Spare parts warning threshold, M: Specified inventory quantity, C: Actual consumption of a spare part within a specified time, Y: Consumption warning threshold, t: Specified time length, t0: Subsequent reserved time length.

[0209] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A nuclear power equipment management system based on knowledge graphs, characterized in that, It includes an equipment monitoring system (1), an equipment management system (2), an overhaul management system (3), and a spare parts management system (4). The equipment monitoring system (1) and the spare parts management system (4) are both connected to the equipment management system (2); The equipment management system (2) is used to receive equipment information uploaded by the equipment monitoring system (1), divide risk areas, plan inspection routes, generate knowledge graphs, analyze video information of faulty equipment, generate solutions and send them to the operation and maintenance engineer; The equipment management system (2) includes a region division module (21) for dividing equipment risk areas and dynamically regulating them, an equipment analysis and management module (22) for receiving equipment operation information, a knowledge graph construction module (23), an equipment identification generation module (24), and a central control module (25). The region division module (21) includes a region judgment unit (211), a risk region rating unit (212), and a robot route planning unit (213). The area judgment unit (211) receives equipment data information from the equipment analysis and management module (22) and obtains the equipment distribution map of the plant area, defines a square equipment presence area A, and divides the risk area within the equipment presence area A into... , , ... , This represents the total number of risk areas. Risk area rating unit (212), through failure factors radiation factor and human factors Calculate the risk value of a single device , Then calculate the sum of the risk values ​​of equipment within the area. and will Risk value of each region The risk areas are divided by sorting them from largest to smallest. The robot route planning unit (213) plans the path according to the principle of proximity and the principle of prioritizing faulty equipment, so that the inspection robot (14) can inspect the equipment in the area. The device identification generation module (24) is used to receive device information and the area information of the device from the area division module (21) and the device analysis and management module (22), generate the device electronic identification code, and upload it to the knowledge graph construction module (23); The knowledge graph construction module (23) is used to receive data information from the device analysis and management module (22) and the device identification generation module (24) to generate a knowledge graph of device relationships; The knowledge graph includes equipment name, region type, operating parameters, spare parts name, failure mode and maintenance strategy, and the relationships between them are inclusion, cause and association; The central control module (25) receives equipment fault diagnosis information from the equipment analysis and management module (22) and is also used to receive the knowledge graph generated in the knowledge graph construction module (23). The central control module (25) combines the equipment fault diagnosis information with the maintenance information in the knowledge graph to generate maintenance methods and send them to the operation and maintenance engineer. At the same time, it uploads the equipment maintenance records to the overhaul management system (3). The risk area rating unit (212) receives the failure frequency of equipment per unit time from the overhaul management system. At the same time, the average failure frequency of similar equipment was obtained. ; Failure factors The calculation formula is as follows: ； The data acquisition module (11) collects the radiation dose rate of the area where the equipment is located in real time. Combined with the radiation tolerance dose threshold of the equipment ; radiation factor The calculation formula is as follows: ； The data acquisition module (11) counts the number of times a person actually comes into contact with the equipment per unit time. Human factors The calculation formula is as follows: ； Among them, the standard contact number threshold ; Risk value of a single device + + ; Then calculate the sum of the risk values ​​of equipment within the area. , This refers to the number of devices.

2. The nuclear power equipment management system based on knowledge graphs according to claim 1, characterized in that, The equipment monitoring system (1) includes a data acquisition module (11), a data processing module (12), a communication module (13), and an inspection robot (14). The data acquisition module (11) is installed on the equipment to collect equipment radiation information, personnel contact information and location information; The data collected by the data acquisition module (11) is uploaded to the data processing module (12) for data cleaning and processing; The inspection robot (14) collects equipment name, model, technical parameters, basic equipment operation information and video information when the equipment malfunctions and uploads it to the data processing module (12) for data cleaning. The inspection robot (14) is wirelessly connected to the central control module (25) and receives instructions to re-shoot video information. The data processing module (12) uploads the processed data to the equipment management system (2) through the communication module (13); The data acquisition module (11) is electrically connected to the data processing module (12), the inspection robot (14) is wirelessly connected to the data processing module (12), the data processing module (12) is electrically connected to the communication module (13), the communication module (13) is connected to the equipment management system (2), and the controller of the inspection robot (14) is connected to the equipment management system (2).

3. The nuclear power equipment management system based on knowledge graphs according to claim 2, characterized in that, The area judgment unit (211) receives equipment data information from the equipment analysis and management module (22) and obtains the equipment distribution map of the plant area to divide the risk areas; The specific method for division is as follows: D1, obtain the coordinate values ​​of the equipment in the factory area; D2. Obtain the coordinates of the four outermost devices in the east, west, south, and north directions of the factory area. Using these four devices as a reference, define a square area A where the devices exist. This area covers all the devices in the factory area. D3. Within the identified equipment location area A, divide the area into multiple risk zones using squares with side length R. Each risk zone is R×R in size. D4. Number the identified risk areas sequentially. , , ... , This represents the total number of risk areas. D5. Assign each device to the risk zone where it is located; D6. For equipment located at the boundary of risk areas, compare the number of equipment within the area and classify the equipment into the area with the most equipment. If the number of devices within a region is equal, they will be assigned to the region with the smaller risk area number.

4. The nuclear power equipment management system based on knowledge graphs according to claim 3, characterized in that, The risk area rating unit (212) assigns risk values ​​to multiple areas. Sort the data from largest to smallest, following the following rules: In the top 20% Classified as a Level 1 risk area; Located between 20% and 50% Classified as a level 2 risk area; Located in 50%-80% The area has been reclassified as a Level 3 risk zone. Located above 80% Reassigned to a regular area; The risk area rating unit (212) then uploads the rating results to the equipment identification generation module (24).

5. The nuclear power equipment management system based on knowledge graphs according to claim 4, characterized in that, The robot route planning unit (213) plans a path based on the principle of proximity so that the inspection robot (14) can inspect the equipment inside the area; Route planning methods within a single area: S1, Risk value of equipment within the area Sort by size from largest to smallest, and set a route adjustment threshold. ,Will and Compare; This represents the maximum risk value within this region. This represents the minimum risk value within this region. S2, if ; The inspection robot (14) will plan its path according to the principle of proximity and inspect the equipment in the area in sequence; S3, if ; Then continue searching for whether it exists in the area. , making ; If it exists Then to The equipment is inspected sequentially according to the principle of proximity, and the remaining equipment is inspected according to its risk value. Sort the paths according to their size order; If it does not exist Then continue searching for whether it exists in the area. , making ; If it exists Then to The equipment is inspected sequentially according to the principle of proximity, and the remaining equipment is inspected according to its risk value. Sort the paths according to their size order; If it does not exist Then, based on the equipment risk value within the region. The size is inspected during the patrol. If both exist , Then the inspection robot (14) will plan its path according to the principle of proximity and inspect the equipment in the area in sequence.

6. The nuclear power equipment management system based on knowledge graphs according to claim 5, characterized in that, The route planning method based on the principle of prioritizing faulty equipment is as follows: When the inspection robot (14) is inspecting the equipment in the area, if the equipment in other areas malfunctions, it first compares the risk level of the faulty equipment with that of the inspection equipment. If the risk level of the inspection equipment is higher, the inspection robot (14) will complete the inspection of the inspection equipment. After all the equipment in the area where the inspection equipment is located is inspected, the faulty equipment will be inspected. If the risk level of the faulty equipment is higher, the inspection robot (14) will directly inspect the faulty equipment. If the levels are the same, the sum of the risk values ​​of the area where the inspection equipment is located is compared with the sum of the risk values ​​of the area where the faulty equipment is located. If the sum of the risk values ​​of the area where the faulty equipment is located is higher, the inspection robot (14) directly inspects the faulty equipment. If the sum of the risk values ​​of the area where the inspection equipment is located is higher, the inspection robot (14) completes the inspection of the inspection equipment. After all the equipment in the area where the inspection equipment is located is inspected, the faulty equipment is inspected. If the sums are equal, the risk values ​​of the inspected equipment and the faulty equipment are compared. If the risk value of the inspected equipment is higher, all equipment in the area where the inspected equipment is located will be inspected before the faulty equipment is inspected. If the risk value of the faulty equipment is higher, the inspection robot (14) will directly inspect the faulty equipment.

7. The nuclear power equipment management system based on knowledge graphs according to claim 4, characterized in that, The device analysis and management module (22) includes a device identification unit (221), a video analysis unit (222), an image capture unit (223), an AI comparison and recognition unit (224), and an image database (225). The equipment identification unit (221) is used to receive equipment name, model, technical parameter information, location information, temperature information, radiation information, personnel contact information and historical maintenance information of the equipment in the communication module (13) and the overhaul management system (3). The equipment identification unit (221) uploads the received equipment name, model, technical parameter information and historical maintenance information of the equipment to the knowledge graph construction module (23) and uploads the received equipment name, model, technical parameter information, location information, radiation information, personnel contact information and historical maintenance information of the equipment to the area judgment unit (211). The device identification unit (221) is wirelessly connected to the communication module (13); The video analysis unit (222) is used to receive video information of the faulty equipment in the communication module (13) and upload it to the image capture unit (223); The image capture unit (223) is used to receive video information and capture device image information and upload it to the AI ​​comparison and recognition unit (224); The AI ​​comparison and recognition unit (224) is used to receive equipment image information and compare it with the equipment fault image information in the image database (225), identify the equipment fault location and fault information, and generate equipment maintenance information and upload it to the central control module (25). The central control module (25) obtains the maintenance method based on the equipment knowledge graph in the knowledge graph construction module (23) and then sends it to the operation and maintenance engineer.

8. The nuclear power equipment management system based on knowledge graphs according to claim 1, characterized in that, The spare parts management system (4) includes an inventory record module (41), a spare parts outbound record module (42), and a spare parts purchase module (43). The inventory record module (41), the spare parts outbound record module (42), and the spare parts purchase module (43) are all electrically connected to the central control module (25). The inventory recording module (41) is used to record the remaining inventory of equipment spare parts; If the inventory recording module (41) detects that the number of spare parts in stock is lower than the spare parts warning threshold G, the inventory recording module (41) sends data information to the central control module (25), and the central control module (25) purchases the corresponding spare parts through the spare parts purchasing module (43). The spare parts outbound record module (42) is used to record the usage of equipment spare parts; If the spare parts outbound record module (42) detects that the consumption of a certain spare part is greater than the consumption warning threshold Y within a specified time t, the spare parts outbound record module (42) sends data information to the central control module (25), and the central control module (25) makes the purchase through the spare parts purchase module (43); The spare parts purchase module (43) is a shopping software used to purchase spare parts.

9. The nuclear power equipment management system based on knowledge graphs according to claim 8, characterized in that, Purchase quantity based on remaining inventory The calculation method is as follows: When S is lower than G, spare parts need to be purchased to bring the inventory to M. ； Purchase quantity based on spare parts consumption The calculation method is as follows: Exceeding the consumption warning threshold within the specified time t The consumption is: ; Average consumption per unit time ; The estimated consumption within the subsequent reserved time t0 ; ； The total purchase volume N is: ; S: Current remaining inventory of spare parts, G: Spare parts warning threshold, M: Specified inventory quantity, C: Actual consumption of a spare part within a specified time, Y: Consumption warning threshold, t: Specified time length, t0: Subsequent reserved time length.

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