Nuclear power equipment management system based on knowledge graph

Abstract

The invention discloses a nuclear power equipment management system based on a knowledge graph, which belongs to the technical field of equipment management and comprises an equipment monitoring system, an equipment management system, an overhaul management system and a spare part management system. In this way, the equipment monitoring system comprehensively collects equipment operation information through the sensor and the inspection robot; the equipment management system can scientifically divide risk areas, integrates equipment fault factors, radiation factors and human factors to carry out quantitative evaluation and dynamic adjustment, realizes accurate diagnosis of equipment faults by means of AI comparison identification and the like, the knowledge graph construction module generates a knowledge graph to assist maintenance, and the central control module provides a maintenance method in combination with the graph. And the overall management and operation and maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management, and in particular to a nuclear power equipment management system based on a knowledge graph. Background Art

[0002] Critical and sensitive equipment in nuclear power plants refers to equipment that plays a vital role in the safety, reliability, and economic viability of nuclear power plant operations, and whose failure or anomaly could have serious consequences. These devices typically perform core functions in the plant's process flow, directly impacting the reactor's normal operation, energy conversion, and power generation. For example, the reactor pressure vessel, a critical piece of equipment that houses the nuclear reactor core, withstands high temperatures, high pressures, and intense radiation, requiring guaranteed integrity and sealing to prevent the leakage of radioactive materials.

[0003] For example, patent CN109358583A discloses a method for preventing failure of critical sensitive equipment in nuclear power units, ensuring the reliability and safety of nuclear power unit operations. The key steps are as follows: Step 1: Identify SPV equipment. According to the corresponding equipment classification guidelines, identify equipment whose single equipment failure could cause a nuclear power unit shutdown, outage, power reduction, or significant power fluctuation. Step 2: Identify sensitive components. Collect data, analyze weaknesses in the SPV equipment, and identify them using a fault tree approach. Step 3: Analyze link strategies. Analyze mitigation strategies for 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 is impossible to conduct inspections of the area where the equipment is located according to the actual situation; Second, it is impossible to plan robot inspection routes based on the equipment in the nuclear power plant; Third, it is impossible to automatically identify equipment failures and automatically generate troubleshooting solutions; Fourth, the function of automatically replenishing the maintenance spare parts warehouse cannot be realized.

[0005] Based on this, the present invention designs a nuclear power equipment management system based on knowledge graph to solve the above problems. Summary of the Invention

[0006] In response to the above-mentioned shortcomings of the prior art, the present invention provides a nuclear power equipment management system based on knowledge graph.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A knowledge graph-based nuclear power equipment management system, including equipment monitoring system, equipment management system, overhaul management system and spare parts management system; The equipment monitoring system and spare parts management system are connected to the equipment management system; The equipment management system receives equipment information uploaded by the equipment monitoring system, divides risk areas, plans inspection routes, generates knowledge graphs, analyzes video information of faulty equipment, and generates solutions that are sent to operation and maintenance engineers. The equipment management system includes a regional division module for dividing equipment risk areas and performing dynamic regulation, 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; The area division module includes an area judgment unit, a risk area rating unit and a robot route planning unit; The area judgment unit receives the equipment data information from the equipment analysis and management module and obtains the equipment distribution map of the factory area, frames a square equipment existence area A, and divides the risk area inside the equipment existence area A into 、 、 … , is the total number of risk areas; Risk area rating unit, by failure factor , radiation factor and human factors Calculate the risk value of a single device , ; Then calculate the sum of the risk values ​​of the equipment within the area , and Risk value of the region Sort the risk areas from large to small; The robot route planning unit plans the path based on the principle of proximity and faulty equipment priority, allowing the inspection robot to inspect the equipment within the area.

[0008] Furthermore, the equipment monitoring system includes a data acquisition module, a data processing module, a communication module and an inspection robot; The data acquisition module 11 is installed on the device to collect device radiation information, personnel contact information and location information; The data information collected by the data acquisition module is uploaded to the data processing module for data cleaning; The inspection robot collects the equipment name, model, technical parameters, basic equipment operation information, and video information when the equipment fails, and uploads it to the data processing module for data cleaning. The inspection robot is connected to the central control module through wireless communication and receives instructions to re-shoot video information; The data processing module uploads the processed data to the equipment management system through the communication module; 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.

[0009] Furthermore, the area judgment unit receives the equipment data information from the equipment analysis and management module and obtains the equipment distribution map of the factory area to divide the risk areas; The specific method of division is as follows: D1, obtain the coordinate values ​​of the equipment in the factory area; D2. Obtain the coordinates of the four devices at the outermost edges of the plant's equipment in the east, west, south, and north directions. Using these four devices as a reference, define a square device area A, which encompasses all equipment within the plant. D3. Within the identified device presence area A, divide the area into multiple risk areas according to a square with a side length of R. The size of each risk area is R × R. D4. Number the divided risk areas in sequence. 、 、 … , is the total number of risk areas; D5. Classify each device into the risk zone where it is located; D6. For equipment located at the border of risk areas, compare the number of equipment within the area and assign the equipment to the area with the largest number of equipment. If the number of devices in each area is equal, they will be assigned to the area with the smaller number according to the size of the risk area number.

[0010] Furthermore, the risk area rating unit receives the frequency of equipment failures per unit time from the overhaul management system. , at the same time, obtain the average failure frequency of similar equipment ; Failure Factor The calculation formula is as follows: ; 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 ; Radiation Factor The calculation formula is as follows: ; Through the data collection module, the actual number of contacts between people and equipment per unit time is counted as

[0011] 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 the equipment within the area , The number of devices.

[0012] Furthermore, the risk area rating unit will be the risk value of multiple areas Sort from large to small, the division principle is: In the top 20% Classified as risk level 1 area; Between 20% and 50% Classified as risk level 2 area; Between 50% and 80% Classified as risk level 3 area; After 80% Divide into common areas; The risk area rating unit then uploads the rating results to the device identification generation module.

[0013] Furthermore, the robot route planning unit plans the path based on the principle of proximity so that the inspection robot can inspect the equipment within the area; Route planning method within a single area: S1. Risk value of equipment within the area Sort by size and set the route adjustment threshold ,Will and Make comparisons; is the maximum risk value within this area, is the minimum risk value within this area; S2, if ; The inspection robot then plans a path based on the principle of proximity and inspects the equipment in the area in sequence; S3, if ; Then continue to search for whether there is , making ; If exists , then to The equipment is inspected in sequence according to the principle of proximity, and the remaining equipment is inspected according to the equipment risk value. Sort by size to plan the path; If it does not exist , then continue to search for whether there is , making ; If exists , then to The equipment is inspected in sequence according to the principle of proximity, and the remaining equipment is inspected according to the equipment risk value. Sort by size to plan the path; If it does not exist , then according to the equipment risk value within the area Inspection of the size of If there are 、 , the inspection robot plans the path according to the principle of proximity and inspects the equipment inside the area in turn.

[0014] Furthermore, the route planning method based on the principle of faulty equipment priority is as follows: When the inspection robot is inspecting equipment in an area, if equipment in other areas fails, the inspection robot will first compare the risk level of the faulty equipment with the risk level of the inspection equipment. If the risk level of the inspection equipment is higher, the inspection robot will complete the inspection of the inspection equipment. After completing the inspection of all equipment in the area where the inspection equipment is located, the inspection robot will inspect the faulty equipment. If the risk level of the faulty equipment is higher, the inspection robot 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 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 completes the inspection of the inspection equipment, and then inspects all equipment in the area where the inspection equipment is located before inspecting the faulty equipment. If the sums are equal, the risk value of the inspection device and the risk value of the faulty device are compared. If the risk value of the inspection device is higher, all devices in the area where the inspection device is located will be inspected before the faulty device is inspected. If the risk value of the faulty device is higher, the inspection robot will directly inspect the faulty device.

[0015] Furthermore, the device analysis and management module includes a device identification unit, a video analysis unit, an image capture unit, an AI comparison and identification unit, and an image database; The device identification unit is used to receive the device name, model, technical parameter information, location information, temperature information, radiation information, personnel contact information and the historical maintenance information of the device in the overhaul management system from the communication module, and upload the received device name, model, technical parameter information and historical maintenance information of the device to the knowledge graph construction module, and upload the received device name, model, technical parameter information, location information, radiation information, personnel contact information and historical maintenance information of the device to the area judgment unit; The device identification unit is connected to the communication module via wireless communication; The video analysis unit is used to receive the video information of the faulty device in the communication module and upload it to the image capture unit; Image capture unit, used to receive video information and capture device image information and upload it to the AI ​​comparison and recognition unit; The AI ​​comparison and recognition unit is used to receive equipment image information and compare it with the image information of equipment faults in the image database, identify the equipment fault location and fault information, and generate equipment maintenance information and upload it to the central control module. The central control module obtains the maintenance method based on the equipment knowledge graph in the knowledge graph construction module and then sends it to the operation and maintenance engineer end.

[0016] Furthermore, the inventory record module is used to record the remaining inventory of spare parts of the equipment; If the inventory record module detects that the number of spare parts in stock is lower than the spare parts warning threshold G, the inventory record 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; Spare parts outbound record module, used to record the usage of equipment spare parts; If the spare parts delivery record module detects that the consumption of a spare part exceeds the consumption warning threshold Y within the specified time t (e.g., within 2 days), the spare parts delivery record module sends data information to the central control module, and the central control module purchases the spare parts through the spare parts purchasing module; The spare parts purchasing module is a shopping software used to purchase spare parts.

[0017] Furthermore, when S is lower than G, spare parts need to be purchased to bring the inventory to M; Purchase quantity based on remaining stock for: ; Exceeding the consumption warning threshold within t The consumption is: ; Average consumption per unit time ; Estimated consumption within the subsequent reserved time t0 (t0=t) ; Purchase quantity based on spare parts consumption for: ; Taking the above two situations into consideration, the final purchase quantity N is and The maximum value among them is chosen because considering only one of the cases may lead to insufficient inventory.

[0018] The total purchase quantity N is: ; S: the remaining inventory of the current spare part, G: the spare part warning threshold, M: the specified inventory quantity, C: the actual consumption of a spare part within the specified time, Y: the consumption warning threshold, t: the specified time length, t0: the subsequent reserved time length.

[0019] Compared with the existing technology, the present invention has the following beneficial effects: 1. The data acquisition module in the equipment monitoring system is equipped with a variety of sensors to collect equipment pressure, sound, vibration, temperature, position and other information. The inspection robot can collect information such as equipment name, model, technical parameters, environmental radiation and fault video, so as to fully understand the equipment operation status; 2. The regional division module of the equipment management system uses the regional judgment unit, risk area rating unit, and robot route planning unit to comprehensively consider equipment failure factors, radiation factors, and human factors to classify the risk level of nuclear power unit areas. It can also adjust according to dynamic changes, providing a scientific basis for risk management and control. 3. The AI ​​comparison and recognition unit in the equipment analysis and management module compares equipment image information with the image database, identifies equipment fault locations and information, and generates maintenance information. For unrecognized situations, the inspection robot re-photographs and manually determines the fault information, continuously improving the accuracy of fault diagnosis. 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 operation and maintenance engineer end, providing a reference for equipment maintenance and improving 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 synchronously updated to the knowledge graph construction module to continuously improve the equipment knowledge system; 5. The inventory record module and spare parts delivery record module of the spare parts management system monitor the spare parts inventory and consumption by setting warning thresholds, triggering the purchase mechanism in a timely manner to ensure a reasonable spare parts inventory and avoid affecting equipment maintenance due to spare parts shortages. 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0021] Figure 1 A connection frame for a nuclear power equipment management system based on knowledge graph of the present invention Figure 1 ; Figure 2 A connection block diagram of the equipment monitoring system of the present invention; Figure 3 A connection diagram of the equipment management system and the equipment monitoring system of the present invention; Figure 4 A connection frame for a nuclear power equipment management system based on knowledge graph of the present invention Figure 2 ; Figure 5 The equipment risk value calculation table of the present invention; Figure 6 Schematic diagram of the knowledge graph construction of the present invention Figure 1 ; Figure 7 Schematic diagram of the knowledge graph construction of the present invention Figure 2 ; Figure 8 Schematic diagram of the electronic identification code of the present invention.

[0022] The numbers in the figure represent: 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 DESCRIPTION

[0023] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0024] Example 1: In some embodiments, please refer to the accompanying drawings of the specification. Figures 1-8 , a nuclear power equipment management system based on knowledge graph, including equipment monitoring system 1, equipment management system 2, overhaul management system 3 and spare parts management system 4; The equipment monitoring system 1 is used to collect equipment information and upload it to the equipment management system 2. The equipment monitoring system 1 is connected to the equipment management system 2 through wireless communication; The device information includes device name, model, technical parameter information, pressure information, sound information, vibration information, temperature information, location information, radiation information, personnel contact information and device video information; 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; The data acquisition module 11 is installed on the device to collect device radiation information, personnel contact information and location information; The data information collected by the data acquisition module 11 is uploaded to the data processing module 12 for data cleaning; Preferably, the data acquisition module 11 is a sensor module, including a radiation sensor, a camera and a position sensor.

[0025] The inspection robot 14 collects the device name, model, technical parameters, basic information about the device operation, and video information when the device fails, 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 the video information; The basic information of equipment operation includes pressure information, sound information, vibration information and temperature information; Preferably, the controller of the inspection robot 14 is connected to the equipment management system 2; The inspection robot 14 adopts existing mature technologies, and integrates the functions of environmental status detection, visual inspection, data recording and transmission, autonomous navigation and obstacle avoidance, emergency response and remote control.

[0026] The data processing module 12 uploads the processed data to the device 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 , and the communication module 13 is connected to the equipment management system 2 .

[0027] The equipment management system 2 is used to receive the equipment information uploaded by the equipment monitoring system 1 and divide the risk areas, generate the planned route for the inspection robot 14, generate the knowledge graph and analyze the video information of the faulty equipment and generate the solution and send it to the operation and maintenance engineer; Preferably, the equipment management system 2 is an equipment fault diagnosis and analysis platform; The device management system 2 includes a region division module 21, a device analysis and management module 22, a knowledge graph construction module 23, a device identification generation module 24 and a central control module 25; The device analysis and management module 22 is used to receive the device 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; The region division module 21 is used to receive the device name, model, technical parameter information, and location information and determine the region where the device is located. The region division module 21 can also divide the device into risk regions and dynamically adjust the risk regions based on the device information and environmental information; Preferably, the area division module 21 includes an area judgment unit 211, a risk area rating unit 212 and a robot route planning unit 213; The area determination unit 211 receives the 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 of division is as follows: D1, obtain the coordinate values ​​of the equipment in the factory area; D2. Obtain the coordinates of the four devices at the outermost edges of the plant's equipment in the east, west, south, and north directions. Using these four devices as a reference, define a square device area A, which encompasses all equipment within the plant. D3. Within the identified device presence area A, divide the area into multiple risk areas according to a square with a side length of R. The size of each risk area is R × R. D4. Number the divided risk areas in sequence. 、 、 … , is the total number of risk areas.

[0028] D5. Classify each device into the risk zone where it is located; D6. For equipment located at the border of risk areas, compare the number of equipment within the area and assign the equipment to the area with the largest number of equipment. If the number of devices in each area is equal, they will be assigned to the area with the smaller risk area number. For example, 、 There is a device at the junction. There are 15 devices in the area. There are 10 devices in the area. The area has the largest number of devices, so this device at the intersection will be divided into area.

[0029] Assume that a device is in and The border between two areas. Region and There are 12 devices in each area. Because the number of devices in the two areas is equal, according to the rule of "divide devices to the area with smaller number", this device will be divided into area.

[0030] The risk area rating unit 212 calculates the score of the equipment within the risk area. The equipment scoring criteria are: failure factor , radiation factor and human factors , and then calculate the risk value , ; The risk area rating unit 212 receives the frequency of equipment failures per unit time from the overhaul management system. , at the same time, obtain the average failure frequency of similar equipment ; Therefore, the failure factor The calculation formula is as follows: ; The data acquisition module 11 collects the radiation dose rate of the area where the device is located in real time , combined with the radiation tolerance dose threshold of the equipment ; Radiation Factor The calculation formula is as follows: ; Through the data collection module 11, the actual number of contacts between people and equipment per unit time is counted as

[0031] 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 the equipment within the area , is the number of devices, Risk value of the region Sort from largest to smallest; In the top 20% Classified as a level 1 risk area, equipment failures are frequent and have a significant impact, the environment is harsh, and personnel activities are frequent and easily affect the equipment. For the level 1 risk area, the inspection cycle time of the inspection robot 14 is h hours; Between 20% and 50% Classified as risk level 2 area, the equipment has a certain risk of failure, the environment is challenging, or human activities have a certain impact on the equipment; for risk level 2 area, the inspection cycle time of the inspection robot 14 is h hours; Between 50% and 80% In the risk level 3 area, the frequency of equipment failure is low, the impact is small, and human activities have little interference with the equipment; for the risk level 3 area, the inspection cycle time of the inspection robot 14 is h hours; After 80% The inspection cycle time of the inspection robot 14 is h hours; The risk area rating unit 212 then uploads the rating results to the device identification generation module 24; The equipment identification generation module 24 numbers the equipment in the general area, the third-level risk area, the second-level risk area, and the first-level risk area respectively; The numbering rules are as follows: Equipment in the risk level 1 area has a number starting with "GR"; equipment in the risk level 2 area has a number starting with "ZR"; equipment in the risk level 3 area has a number starting with "DR"; and equipment in the ordinary area has a number starting with "PR".

[0032] The number can be supplemented with information such as the equipment's technical parameters to form a unique equipment number. For example, if the technical parameter code of a piece of equipment in a risk level 1 area is 10, its complete number would be "GR-010."

[0033] like Figure 8 As shown in the figure, the electronic identification codes of the equipment in different areas are arranged from large to small according to the equipment risk value Y.

[0034] The robot route planning unit 213 plans a path based on the principle of proximity and faulty equipment priority so that the inspection robot 14 can inspect the equipment within the area; Route planning method within a single area: S1. Risk value of equipment within the area Sort by size and set the route adjustment threshold ,Will and Make comparisons; is the maximum risk value within this area, is the minimum risk value within this area; S2, if ; The inspection robot 14 then plans a path according to the principle of proximity to inspect the equipment inside the area in sequence; S3, if ; Then continue to search for whether there is , making ; If exists , then to The equipment is inspected in sequence according to the principle of proximity, and the remaining equipment is inspected according to the equipment risk value. Sort by size to plan the path; If it does not exist , then continue to search for whether there is , making ; If exists , then to The equipment is inspected in sequence according to the principle of proximity, and the remaining equipment is inspected according to the equipment risk value. Sort by size to plan the path; If it does not exist , then according to the equipment risk value within the area Inspection of the size of If there are 、 , the inspection robot 14 plans a path according to the principle of proximity and inspects the equipment inside the area in sequence; The route planning method based on the principle of faulty equipment priority is as follows: When the inspection robot 14 is inspecting equipment in an area, if equipment in other areas fails, the inspection robot 14 will first compare the risk level of the faulty equipment with the risk level of the inspection equipment. If the level of the risk level of the inspection equipment is higher, the inspection robot 14 will complete the inspection of the inspection equipment. After completing the inspection of all equipment in the area where the inspection equipment is located, the inspection robot 14 will inspect the faulty equipment. If the level of the risk level of the faulty equipment is higher, the inspection robot 14 will directly inspect the faulty equipment. If the risk level of the faulty device is the same as that of the inspection device, the sum of the risk values ​​of the inspection device's area is compared with the sum of the risk values ​​of the faulty device's area. If the sum of the risk values ​​of the faulty device's area is higher, the inspection robot 14 directly inspects the faulty device. If the sum of the risk values ​​of the inspection device's area is higher, the inspection robot 14 completes the inspection of the inspection device, and then inspects the faulty device after completing the inspection of all devices in the inspection device's area. If the sum of the risk values ​​of the area where the inspection device is located is equal to the sum of the risk values ​​of the area where the faulty device is located, the risk value of the inspection device is compared with the risk value of the faulty device. If the risk value of the inspection device is higher, all devices in the area where the inspection device is located are inspected before inspecting the faulty device. If the risk value of the faulty device is higher, the inspection robot 14 directly inspects the faulty device. The robot route planning unit 213 is in communication with the inspection robot 14 and dynamically adjusts the route planning of the inspection robot 14 .

[0035] The device identification generation module 24 is used to receive the device information and the device area information 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; See also Figure 6 The knowledge graph includes device name, area type, operating parameters, spare part name, failure mode and maintenance strategy, and the relationships between them are include, cause and associate; for example, the area type contains the device name, the device name contains the spare part name, and the device name is associated with the operating parameters.

[0036] See also Figure 7In the knowledge graph of nuclear reactor GR-001, the following relationships are included: nuclear reactor GR-001 includes risk area GR, core, pressure vessel, and control rod assembly; leading relationship: insufficient core cooling and fuel rod damage will lead to core problems, which is a cause-and-effect relationship of failure; associated relationship: insufficient core cooling is associated with improving the cooling system, and fuel rod damage is associated with replacing the fuel rod; nuclear reactor GR-001 is associated with core temperature and core pressure, which is the relationship between failure and maintenance strategy, and equipment and operating parameters.

[0037] The central control module 25 receives the equipment fault diagnosis information from the equipment analysis and management module 22 and is also used to receive 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, generates a maintenance method, and sends it to the operation and maintenance engineer. At the same time, the equipment maintenance record is uploaded to the overhaul management system 3; The central control module 25 is wirelessly connected to the inspection robot 14 for transmitting instructions to reshoot video information to the inspection robot 14 . The central control module 25 is connected to the spare parts management system 4 .

[0038] 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 identification unit 224 and an image database 225; The device identification unit 221 is used to receive the device name, model, technical parameter information, location information, temperature information, radiation information, personnel contact information and the historical maintenance information of the device from the overhaul management system 3 in the communication module 13, and upload the received device name, model, technical parameter information and the historical maintenance information of the device to the knowledge graph construction module 23, and upload the received device name, model, technical parameter information, location information, radiation information, personnel contact information and the historical maintenance information of the device to the area judgment unit 211; The video analysis unit 222 is used to receive the video information of the faulty device from 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 device image information and compare it with the image information of the device fault in the image database 225, identify the device fault location and fault information, and generate device maintenance information and upload it to the central control module 25. The central control module 25 obtains the maintenance method based on the device knowledge graph in the knowledge graph construction module 23 and sends it to the operation and maintenance engineer end; If the AI ​​comparison and recognition unit 224 does not identify the equipment fault information, the central control module 25 sends information to the inspection robot 14. The inspection robot 14 re-shoots the video information and uploads it to the video analysis unit 222 through the data processing module 12 and the communication module 13. The video analysis unit 222 uploads it again to the image capture unit 223 and the AI ​​comparison and recognition unit 224. If the AI ​​comparison and recognition unit 224 still does not identify the equipment fault information, the video analysis unit 222 directly sends the two video information to the operation and maintenance engineer end, and the operation and maintenance engineer makes a manual judgment. If the operation and maintenance engineer determines that the equipment has failed, the information is uploaded to the central control module 25, which then updates the equipment failure information in the AI ​​comparison and recognition unit 224. Meanwhile, when the operation and maintenance engineer repairs the equipment, the central control module 25 uploads the equipment repair information to the overhaul management system 3 for recording, and the overhaul management system 3 updates the equipment repair information to the knowledge graph construction module 23. If the operation and maintenance engineer does not determine the equipment failure information, the operation and maintenance engineer will go to the site to make a judgment and handle it. After the processing, the cause of the equipment failure and the treatment 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; The overhaul management system 3 is used to record the historical maintenance information of the equipment, including maintenance time, maintenance frequency, maintenance method and replaced spare parts; The spare parts management system 4 includes an inventory record module 41, a spare parts delivery record module 42, and a spare parts purchase module 43, all of which are 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 recording module 42 is used to record the usage of equipment spare parts; If the spare parts delivery record module 42 detects that the consumption of a spare part is greater than the consumption warning threshold Y within the specified time t (e.g., 2 days), the spare parts delivery record module 42 sends data information to the central control module 25, and the central control module 25 purchases the spare parts through the spare parts purchasing module 43; The spare parts purchasing module 43 is a shopping software used to purchase spare parts.

[0039] Embodiment 2: In some embodiments, as Figure 4As shown, as a preferred embodiment of the present invention, the spare parts purchasing rules of the spare parts purchasing module 43 are as follows; Purchase quantity based on remaining stock The calculation method is: 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: Exceeding the consumption warning threshold within t The consumption is: ; Average consumption per unit time ; Estimated consumption within the subsequent reserved time t0 (t0=t) ; ; Taking the above two situations into consideration, the final purchase quantity N is and The maximum value among them, because if only one of the cases is considered, it may lead to insufficient inventory. The comprehensive purchase quantity N is: ; S: the remaining inventory of the current spare part, G: the spare part warning threshold, M: the specified inventory quantity, C: the actual consumption of a spare part within the specified time, Y: the consumption warning threshold, t: the specified time length, t0: the subsequent reserved time length.

[0040] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A nuclear power equipment management system based on knowledge graph, characterized in that: It includes equipment monitoring system (1), equipment management system (2), overhaul management system (3) and 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 the equipment information uploaded by the equipment monitoring system (1) and divide the risk areas, plan the inspection routes, generate knowledge graphs and analyze the video information of the faulty equipment and generate solutions to send to the operation and maintenance engineers; The equipment management system (2) includes a region division module (21) for dividing equipment risk areas and performing dynamic regulation, 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 area division module (21) includes an area judgment unit (211), a risk area rating unit (212) and a robot route planning unit (213); The area judgment unit (211) receives the equipment data information from the equipment analysis and management module (22) and obtains the equipment distribution map of the plant area, frames a square equipment existence area A, and divides the risk area inside the equipment existence area A into 、 、 … , is the total number of risk areas; Risk Area Rating Unit (212) by Failure Factor , radiation factor and human factors Calculate the risk value of a single device , ; Then calculate the sum of the risk values ​​of the equipment within the area , and Risk value of the region Sort the risk areas from large to small; The robot route planning unit (213) plans a path based on the principle of proximity and the principle of faulty equipment priority so that the inspection robot (14) can inspect the equipment inside the area.

2. The nuclear power equipment management system based on knowledge graph according to claim 1 is characterized in that: The equipment monitoring system (1) comprises 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 and is used to collect equipment radiation information, personnel contact information and location information; The data information collected by the data acquisition module (11) is uploaded to the data processing module (12) for data cleaning; The inspection robot (14) collects the equipment name, model, technical parameters, basic information of equipment operation and video information when the equipment fails and uploads it to the data processing module (12) for data cleaning processing. The inspection robot (14) is connected to the central control module (25) by wireless communication and receives instructions for re-shooting video information; The data processing module (12) uploads the processed data to the equipment management system (2) via 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 graph according to claim 2 is characterized in that: The area judgment unit (211) receives the 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 area; The specific method of division is as follows: D1, obtain the coordinate values ​​of the equipment in the factory area; D2. Obtain the coordinates of the four devices at the outermost edges of the plant's equipment in the east, west, south, and north directions. Using these four devices as a reference, define a square device area A, which encompasses all equipment within the plant. D3. Within the identified device presence area A, divide the area into multiple risk areas according to a square with a side length of R. The size of each risk area is R × R. D4. Number the divided risk areas in sequence. 、 、 … , is the total number of risk areas; D5. Classify each device into the risk zone where it is located; D6. For devices located at the border of risk areas, compare the number of devices within the area and assign the device to the area with the largest number of devices. If the number of devices in each area is equal, they will be assigned to the area with the smaller number according to the size of the risk area number.

4. The nuclear power equipment management system based on knowledge graph according to claim 2 is characterized in that: The risk area rating unit (212) receives the frequency of equipment failures per unit time from the overhaul management system. , at the same time, obtain the average failure frequency of similar equipment ; Failure Factor The calculation formula is as follows: ； The data acquisition module (11) collects the radiation dose rate of the area where the device is located in real time , combined with the radiation tolerance dose threshold of the equipment ; Radiation Factor The calculation formula is as follows: ； Through the data acquisition module (11), the number of actual contacts between people and equipment per unit time is counted as follows: 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 the equipment within the area , The number of devices.

5. The nuclear power equipment management system based on knowledge graph according to claim 4 is characterized in that: The risk area rating unit (212) converts the risk values ​​of multiple areas into Sort from large to small, the division principle is: In the top 20% Classified as risk level 1 area; Between 20% and 50% Classified as risk level 2 area; Between 50% and 80% Classified as risk level 3 area; After 80% Divide into common areas; The risk area rating unit (212) then uploads the rating result to the device identification generation module (24).

6. The nuclear power equipment management system based on knowledge graph according to claim 5 is 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 method within a single area: S1. Risk value of equipment within the area Sort by size and set the route adjustment threshold ,Will and Make comparisons; is the maximum risk value within this area, is the minimum risk value within this area; S2, if ; Then the inspection robot (14) plans a path according to the principle of proximity and inspects the equipment inside the area in sequence; S3, if ; Then continue to search for whether there is , making ; If exists , then to The equipment is inspected in sequence according to the principle of proximity, and the remaining equipment is inspected according to the equipment risk value. Sort by size to plan the path; If it does not exist , then continue to search for whether there is , making ; If exists , then to The equipment is inspected in sequence according to the principle of proximity, and the remaining equipment is inspected according to the equipment risk value. Sort by size to plan the path; If it does not exist , then according to the equipment risk value within the area Inspection of the size of If there are 、 , the inspection robot (14) plans the path according to the principle of proximity and inspects the equipment inside the area in sequence.

7. The nuclear power equipment management system based on knowledge graph according to claim 6 is characterized in that: The route planning method based on the principle of faulty equipment priority is as follows: When the inspection robot (14) is inspecting the equipment in the area, if a fault occurs in the equipment in other areas, the inspection robot (14) first compares the risk level of the faulty equipment with the risk level of the inspection equipment. If the level of the risk level of the inspection equipment is higher, the inspection robot (14) completes the inspection of the inspection equipment. After completing the inspection of all equipment in the area where the inspection equipment is located, the inspection robot (14) inspects the faulty equipment. If the level of the risk level of the faulty equipment is higher, the inspection robot (14) directly inspects 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, and then inspects all the equipment in the area where the inspection equipment is located before inspecting the faulty equipment. If the sums are equal, the risk value of the inspection device and the risk value of the faulty device are compared. If the risk value of the inspection device is higher, all devices in the area where the inspection device is located are inspected before inspecting the faulty device. If the risk value of the faulty device is higher, the inspection robot (14) directly inspects the faulty device.

8. The nuclear power equipment management system based on knowledge graph according to claim 5 is characterized in that: The device analysis management module (22) includes a device identification unit (221), a video analysis unit (222), an image capture unit (223), an AI comparison and identification unit (224), and an image database (225); The device identification unit (221) is used to receive the device name, model, technical parameter information, location information, temperature information, radiation information, personnel contact information and historical maintenance information of the device in the overhaul management system (3) from the communication module (13), and the device identification unit (221) uploads the received device name, model, technical parameter information and historical maintenance information of the device to the knowledge graph construction module (23), and uploads the received device name, model, technical parameter information, location information, radiation information, personnel contact information and historical maintenance information of the device 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 the video information of the faulty device in the communication module (13) and upload it to the image capture unit (223); An image capture unit (223) is used to receive video information and capture device image information and upload it to an AI comparison and recognition unit (224); The AI ​​comparison and recognition unit (224) is used to receive device image information and compare it with the image information of the device fault in the image database (225), identify the device 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 device knowledge graph in the knowledge graph construction module (23) and sends it to the operation and maintenance engineer end.

9. The nuclear power equipment management system based on knowledge graph according to claim 1 is characterized in that: A spare parts management system (4), comprising an inventory recording module (41), a spare parts delivery recording module (42), and a spare parts purchasing module (43), wherein the inventory recording module (41), the spare parts delivery recording module (42), and the spare parts purchasing module (43) are all electrically connected to the central control module (25); An inventory record 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 delivery record module (42) is used to record the usage of equipment spare parts; If the spare parts delivery record module (42) detects that the consumption of a certain spare part is greater than the consumption warning threshold value Y within the specified time t, the spare parts delivery record module (42) sends data information to the central control module (25), and the central control module (25) purchases the spare parts through the spare parts purchasing module (43); The spare parts purchasing module (43) is a shopping software used for purchasing spare parts.

10. The nuclear power equipment management system based on knowledge graph according to claim 9 is characterized in that: Purchase quantity based on remaining stock The calculation method is: 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: Exceeding the consumption warning threshold within the specified time t The consumption is: ; Average consumption per unit time ; Estimated consumption within the subsequent reserved time t0 ; ； The total purchase quantity N is: ; S: the remaining inventory of the current spare part, G: the spare part warning threshold, M: the specified inventory quantity, C: the actual consumption of a spare part within the specified time, Y: the consumption warning threshold, t: the specified time length, t0: the subsequent reserved time length.

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