An intelligent inspection method and system for a nuclear power plant

Abstract

The application relates to an intelligent inspection method and system for a nuclear power plant, and the method comprises the following steps: S1, a digital simulation field scene corresponding to the nuclear power plant is established; S2, an inspection task is acquired; S3, according to the inspection task, an inspection task type is obtained, and corresponding inspection rules are executed according to the inspection task type. The application is based on digitalization, a digital simulation field scene of the nuclear power plant is established, the inspection task is one-to-one corresponding to the inspection type, corresponding inspection rules are executed according to the inspection type, intelligent inspection of a region to be inspected of the nuclear power plant is realized, and the labor cost of inspection is reduced.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant inspection, and more particularly to an intelligent inspection method and system for nuclear power plants. Background Technology

[0002] With technological advancements, intelligent inspections have been widely adopted in industries such as thermal power, wind power, and petrochemicals, replacing traditional manual inspections. For example, thermal power plants have used sliding-rail inspection robots equipped with cameras and other sensors to inspect coal conveyor bridges, GIS rooms, and substations; hydropower plants use vibration sensors, equipment heating sensors, and oil chromatography analyzers to monitor generator equipment status; and photovoltaic power plants use drones to inspect solar panel hotspots. With the development of artificial intelligence, big data, and high-speed communication technologies, the construction of smart power plants—from automation to intelligence, and from manual to machine decision-making—has become an urgent requirement of the times. In the process of building intelligent nuclear power plants, regular inspections are essential to ensure safer, more efficient, convenient, and controllable equipment operation and management; to improve the quality of equipment inspections while reducing the workload of employees; and to provide managers with reliable data for equipment status assessment, maintenance prediction, and decision-making planning.

[0003] Currently, in existing technologies, nuclear power plant inspections employ a combination of paper records, handheld inspection devices, and fixed-point cameras. The "paper records + handheld inspection device" method involves maintenance personnel periodically performing inspections at the nuclear power plant equipment application sites, using both paper records and handheld inspection devices. The "fixed-point camera" method involves installing fixed cameras in areas with concentrated meters within the plant to collect real-time meter data. This data is transmitted via Ethernet to a backend server and displayed on a front-end monitoring screen. The technical architecture consists of video acquisition terminals deployed throughout the nuclear power plant, a data acquisition network, and monitoring screens installed in the main control room. This existing technology, which relies heavily on manual labor in combining handheld inspection devices and paper records, results in high labor costs. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent inspection method and intelligent inspection system for nuclear power plants.

[0005] The technical solution adopted by this invention to solve its technical problem is: to construct an intelligent inspection method for nuclear power plants, the method comprising:

[0006] S1: Establish a digital simulation site scenario corresponding to the nuclear power plant;

[0007] S2: Obtain inspection tasks;

[0008] S3: Based on the inspection task, obtain the inspection task type, and execute the corresponding inspection rules according to the inspection task type.

[0009] Preferably, the inspection task type includes online inspection;

[0010] Step S3 includes:

[0011] S3-1: When the obtained inspection task type is online inspection, select the corresponding equipment to be inspected in the digital simulated field scene according to the inspection task;

[0012] S3-2: Obtain the corresponding equipment type based on the selected equipment to be inspected;

[0013] S3-3: Based on the equipment type, call the corresponding inspection device to obtain the real-time equipment information of the corresponding equipment to be inspected;

[0014] S3-4: Display the acquired real-time device information in the digitally simulated field scene.

[0015] Preferably, the equipment type includes centralized control cabinets and / or distributed meters;

[0016] Step S3-3 includes:

[0017] When the equipment type is the centralized control cabinet, the inspection robot is invoked to inspect the equipment to be inspected in order to obtain the corresponding real-time equipment information.

[0018] When the device type is the distributed meter timing, the corresponding sensor device of the device to be inspected is invoked to obtain its corresponding real-time device information.

[0019] Preferably, the equipment type includes equipment environmental inspection;

[0020] Step S3-3 includes:

[0021] When the device type is the device environment inspection, the camera device of the environment where the device to be inspected is located is invoked to obtain real-time environmental photos of the area where the device to be inspected is located, and the real-time device information is obtained by analyzing the real-time environmental photos.

[0022] Preferably, the inspection task type includes on-site inspection;

[0023] Step S3 includes:

[0024] S3-1': When the obtained inspection task type is the local inspection, the equipment to be inspected in the nuclear power plant is inspected according to the inspection task.

[0025] S3-2': Use a handheld terminal to perform a positioning scan on the equipment to be inspected to obtain the corresponding location information, and determine whether it meets the requirements of the inspection task based on the location information;

[0026] S3-3': Use the handheld terminal to collect real-time equipment information of the equipment to be inspected.

[0027] Preferably, the inspection task type further includes an inspection route;

[0028] Step S3 also includes:

[0029] S3-4': Several camera devices are installed along the inspection route, and video information along the inspection route is collected through the camera devices;

[0030] S3-5': Determine whether the inspection personnel's behavior is in accordance with regulations based on the video information.

[0031] Preferably, step S3 further includes:

[0032] S3-6': Obtain the health monitoring data and activity trajectory data of the inspection personnel, and determine whether the inspection personnel's inspection complies with the specifications based on the health monitoring data and activity trajectory data.

[0033] Preferably, the nuclear power plant is equipped with an electronic fence;

[0034] In steps S3-6', the activity trajectory data is used to determine whether the inspection personnel have entered the electronic fence area.

[0035] The present invention also provides an intelligent inspection system for nuclear power plants, which applies any of the intelligent inspection methods described above. The intelligent inspection system includes: a data acquisition module, a processing module, a transmission module, and an application module.

[0036] The data acquisition module is used to receive the inspection rules and obtain real-time equipment information according to the inspection rules.

[0037] The transmission module is communicatively connected to the acquisition module and is used to transmit the real-time device information;

[0038] The processing module is communicatively connected to the transmission module and is used to receive the inspection task, obtain the inspection task type according to the inspection task, and issue the inspection rules according to the inspection task type.

[0039] The application module is communicatively connected to the processing module and is used to establish the digital simulation site scene corresponding to the nuclear power plant and issue the inspection task.

[0040] Preferably, the processing module includes:

[0041] The analysis and comparison unit is used to analyze and compare the real-time device information and generate comparison results;

[0042] The result judgment unit is used to judge the comparison result and trigger an alarm when the comparison result does not meet the requirements.

[0043] The technical solution of this invention has the following beneficial effects: Based on digitalization, a digital simulation site scenario of a nuclear power plant is established, and inspection tasks are matched one-to-one with inspection types. The corresponding inspection rules are executed according to the inspection type, thereby realizing intelligent inspection of the areas to be inspected in the nuclear power plant and reducing the labor cost of inspection. Attached Figure Description

[0044] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0045] Figure 1 This is a flowchart of the intelligent inspection method of the present invention;

[0046] Figure 2 This is a schematic diagram of the intelligent inspection system of the present invention;

[0047] Figure 3 This is a schematic diagram of the structure for periodic testing of the present invention;

[0048] Figure 4 This is the circuit layout diagram of the present invention simulating a digital field scenario;

[0049] Figure 5 This is a pipeline layout diagram of a simulated digital field scenario according to the present invention;

[0050] Figure 6 This is a cabinet layout diagram simulating a digital field scenario according to the present invention. Detailed Implementation

[0051] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] In a preferred embodiment, such as Figure 1As shown, the intelligent inspection method of this embodiment is used in the intelligent inspection of nuclear power plants. Specifically, the intelligent inspection method includes the following steps:

[0053] S1: Establish a digital simulation site scenario corresponding to the nuclear power plant. Specifically, the equipment to be inspected within the nuclear power plant is classified, and corresponding digital simulation site scenarios are established based on the classification. In this embodiment, the digital simulation site scenario mainly simulates on-site instrument inspections, operation indication inspections, personnel safety inspections, personnel positioning inspections, and equipment monitoring and early warning inspections within the nuclear power plant. The digital simulation site scenario may include the equipment to be inspected and the inspection devices. The equipment to be inspected can be categorized by type, environment, inspector attire, and inspector behavior. Equipment includes centralized control cabinets and distributed meters; environment includes equipment environmental inspections, such as checking for smoke, leaks, and gas emissions in the nuclear power plant environment; inspector attire includes whether inspectors are wearing safety helmets, safety belts, work clothes, masks, and protective gloves; and inspector behavior includes unsafe actions such as crossing prohibited areas, making phone calls while walking, prolonged stays, leaving the post during night shifts, using mobile phones while walking, and not holding handrails when going up or down stairs in the plant. Inspection devices include, but are not limited to, sensors, cameras, wearable wrist devices, inspection robots, and handheld terminals. Real-time equipment information collected by these devices is transmitted to the client for display via a network. The digital simulation field scenario also includes a software support platform. This platform primarily comprises support for transmission networks, data access, data storage management, and video analytics algorithms. Transmission network support includes Wi-Fi and / or Ethernet, or other transmission methods. Video analytics algorithms may include algorithms for pointer meters, algorithms based on inspector wear and behavior, and algorithms for detecting environmental leaks and spills. The digital simulation field scenario also includes a platform-level inspection data center. This data center includes unstructured data, relational data, and relational databases, transforming real-time equipment information into equipment status data, fire safety data, field environment data, inspector behavior data, and industrial safety data. Finally, the digital simulation field scenario includes IoT and data access, which may include data acquisition gateways and data acquisition devices, supporting the access of data from cameras, sensors, and wireless meters.

[0054] In this embodiment, technologies such as video stream access, video fusion, and video stream recognition are introduced into the digital field scenario to automate the inspection of the status of equipment to be inspected and the behavior of inspection personnel using fixed-point cameras. Simultaneously, an inspection robot is used to automate the inspection of power distribution cabinets. By applying the inspection robot to real-time equipment information collection, it replaces manual labor in performing a large amount of repetitive mechanical inspection work. By setting the automatic inspection mode of the inspection robot and configuring its startup tasks and times, the robot can inspect the nuclear power plant according to the configured tasks and times, completing the automatic inspection of the equipment to be inspected. By applying smart meter covers and wireless meters to nuclear power plant inspections, real-time equipment information from local instruments is automatically collected using these devices and transmitted to the client via a network, enabling the inspection of complex scenarios and non-centralized meter distribution within the nuclear power plant. It is understood that the equipment to be inspected includes, but is not limited to, the above-mentioned types, and the inspection devices include, but are not limited to, the above-mentioned types. If those skilled in the art apply other equivalent equipment to be inspected or inspection devices to the inventive concept of this embodiment, they also fall within the protection scope of this embodiment.

[0055] In this embodiment, the inspection robot is used in conjunction with a camera device to monitor and inspect specific areas and personnel in the nuclear power plant. The specific areas to be inspected include, but are not limited to, leaks in equipment and pipelines, personnel not wearing safety helmets, safety belts, uniforms, masks, or protective gloves, personnel crossing prohibited areas, personnel making or receiving phone calls while walking, prolonged stays at the inspection site, personnel leaving their posts during night shifts, personnel using mobile phones while walking, and personnel not holding handrails when going up or down stairs in the nuclear power plant. Wearable wristbands monitor the status and inspection routes of inspection personnel. These devices include smart bracelets and smart badges. The smart bracelets monitor the personnel's status, while the smart badges monitor their inspection routes. The monitoring of personnel status includes, but is not limited to, real-time monitoring of heart rate, blood pressure, and blood oxygen levels at the inspection site. The monitoring of inspection routes includes tracking the personnel's inspection path and their movements within the nuclear power plant. Sensors monitor the physical operating status of the equipment to be inspected. Handheld terminals enable interactive inspections between inspection and monitoring personnel. Furthermore, through the handheld terminals, inspection personnel can access historical data from the equipment to be inspected during inspections.

[0056] In this embodiment, as Figure 4 , Figure 5 ,and Figure 6As shown, taking a simulated digital on-site scenario system as an example, the entire system is powered by a dedicated AC220V power supply. This power, after passing through an electricity meter, supplies power to the first and second variable frequency water pumps, the venting device, the robot, and the heating element. Each branch line has a circuit breaker and a rotary switch to control start and stop. Simultaneously, parallel indicators show the start / stop status: a red light indicates start, and a green light indicates stop. The digital field scenario includes a water tank. A first and a second variable frequency (VFD) water pump draws water from the tank and returns it, forming two water circulation systems. The first VFD water pump circulation system is monitored by a standard pressure gauge and inspected via a smart gauge cover. The smart gauge cover reads the images and uploads them via Wi-Fi for processing. The second VFD water pump circulation system includes various local instruments. A wireless pressure gauge at the outlet of the second VFD water pump directly uploads pressure data. Piping runs through Instrument Cabinet 1, which contains a rotor flowmeter, an oil-filled pressure gauge, and a standard pressure gauge. A camera on an inspection robot collects real-time equipment information and uploads it for processing. A manual valve is installed at the outlet of the second VFD water pump in the circulation system to simulate a dripping effect, allowing water to return to the tank via a funnel installed below the table. The field cabinets are arranged sequentially as Instrument Cabinet 1, Power Cabinet, and Instrument Cabinet 2. An inspection robot is installed above the field cabinets to collect and upload instrument data from the cabinet panels. The rotary switch on instrument cabinet 1 controls the start and stop of the inspection robot. It is connected to the digital simulated field scenario system via pipes. Pressure gauges and flow meters are installed inside the cabinet, and data collection ports are located on the cabinet door for collecting meter data. Three rotary switches on the power cabinet control the start and stop of the first and second variable frequency water pumps and the venting device, respectively. The rotary switch on instrument cabinet 2 controls the start and stop of the heating cable. A thermometer and ammeter are installed inside instrument cabinet 2 to monitor the ambient temperature and system current. Similarly, real-time equipment information is collected and uploaded for processing via a camera on the inspection robot. The simulated digital field scenario system includes various types of meters, including but not limited to pointer meters, level meters, digital meters, and status indicators, to simulate diverse field scenarios within the inspection system.

[0057] S2: Obtain inspection tasks. Specifically, different equipment to be inspected within the nuclear power plant requires different inspection tasks. The inspection tasks and the equipment to be inspected need to be matched one-to-one. Based on the obtained inspection tasks, the type of inspection task is determined.

[0058] S3: Based on the inspection task, obtain the inspection task type and execute the corresponding inspection rules according to the inspection task type. Specifically, different inspection task types correspond to different inspection tasks. Based on the inspection task, obtain the corresponding inspection task type, which includes online inspection, on-site inspection, and inspection route. Different inspection task types require different inspection rules. Execute the corresponding inspection rules based on the obtained inspection task type.

[0059] In this embodiment, when the obtained inspection task type is online inspection, step S3 includes the following steps:

[0060] S3-1: When the obtained inspection task type is online inspection, select the corresponding equipment to be inspected in the digitally simulated field scenario according to the inspection task. Specifically, a one-to-one correspondence between inspection task types and equipment to be inspected is established through the digitally simulated field scenario. When the obtained inspection task type is online inspection, select the corresponding equipment to be inspected according to the inspection task type.

[0061] S3-2: Obtain the corresponding equipment type based on the selected equipment to be inspected. Specifically, after the equipment to be inspected is determined, obtain the corresponding equipment type based on the equipment to be inspected.

[0062] S3-3: Based on the equipment type, the corresponding inspection device is invoked to obtain real-time equipment information of the equipment to be inspected. Specifically, equipment types may include centralized control cabinets, distributed meters, and equipment environment inspections. Understandably, different equipment types require different inspection methods. After determining the equipment type, the corresponding inspection device is invoked. This device performs real-time inspection of the corresponding equipment. The invoked inspection device obtains real-time equipment information of the equipment to be inspected. The inspection device and the client are connected via a transmission network, and the real-time equipment information is transmitted to the client. Inspection personnel can then view the real-time equipment information of the equipment to be inspected through the client.

[0063] In this embodiment, the centralized control cabinet may include inspection scenarios such as 220KV switch station, 50KV switch station, 20-meter-level electrical control cabinet of turbine plant, and switch cabinet of electrical plant. In these scenarios, the equipment to be inspected may include voltmeters, ammeters, rotary switches, indicator lights, pressure gauges, thermometers, etc.; the decentralized meters may include oil-filled pressure gauges, non-oil-filled pressure gauges, temperature and humidity meters, rotor flow meters, level gauges, etc.

[0064] When the equipment type is a centralized control cabinet, the inspection device used is a combination of an inspection robot and a white light camera. When the equipment to be inspected on the centralized control cabinet is a pointer-type instrument, the white light camera captures images of the pointer's scale. When the equipment to be inspected on the centralized control cabinet is a digital instrument, the white light camera captures images of the digital's numerical values. When the equipment to be inspected on the centralized control cabinet is a status indicator, the white light camera obtains real-time equipment information images of the indicator. The white light camera transmits the captured scale images, numerical images, and real-time equipment information images to the client via a transmission network. These images are then compared with a comparison analysis database on the client side to obtain the comparison results, which are then used for judgment. During the inspection process, the white light camera acquires video information of the equipment to be inspected, and the client randomly extracts images from the video information captured by the white light camera.

[0065] When the device type is distributed metering, the inspection device used is a smart meter cover. The smart meter cover is installed on the distributed meter and has a camera function. During inspection, the smart meter cover captures images of the distributed meter. The acquired images are transmitted to the client via a network. The client has a comparison and analysis database. After analyzing and recognizing the acquired images, the client obtains the data information from the images and compares it with the comparison and analysis database to obtain a comparison result. The client then makes a judgment based on the comparison result. Understandably, when the comparison result meets the requirements, the client displays the result; when the comparison result does not meet the requirements, the client issues an alarm while displaying the result. Distributed meters are of a single type, but their installation is relatively scattered, with considerable distances between them. The light intensity in the application scenarios varies, making the usage scenarios quite complex. Distributed meters mainly include oil-filled pressure gauges, non-oil-filled pressure gauges, thermometers, temperature and humidity meters, voltmeters, ammeters, rotor flow meters, and level gauges.

[0066] In this embodiment, alarm information is related to the setting of alarm rules, which include two main categories: alarm warning rules and alarm rules. Alarm warning rules are data-based measurement points that judge the results of numerical measurement points. The standard numerical range for inspection is configured. After the inspection device collects real-time equipment information, it analyzes and identifies the information, compares the identification results with the configured standard numerical range for inspection, and issues an over-limit alarm when the monitored indicator is outside the inspection alarm numerical range. The alarm rules include judgment rules for criterion-based measurement point results, judgment rules for status-based measurement point results, and alarm judgment. For criterion-based measurement point results, criterion standards are configured for each measurement point. After the inspection device collects real-time equipment information, it analyzes and identifies the information, comparing the identification results with the criterion standards. An alarm is triggered when the identification results do not match the configured criterion standards. For status-based measurement point results, status inspection standards are configured for each measurement point. After the inspection device collects real-time equipment information, it analyzes and identifies the information, comparing the identification results with the status inspection standards. An alarm is triggered when the identification results do not match the status inspection standards. For alarm judgment, continuous alarms at a measurement point are considered a single alarm. The client displays the first alarm measurement value. After the first alarm occurs, a timer starts, and the alarm duration is used to determine whether it has ended.

[0067] When the equipment type is equipment environment inspection, step S3-3 includes: calling a camera device in the environment where the equipment to be inspected is located to obtain real-time environmental photos of the area where the equipment is located, and analyzing the real-time environmental photos to obtain real-time equipment information. Specifically, the inspection device used is a camera device in the environment of the equipment to be inspected. The camera device acquires real-time environmental photos of the area where the equipment is located, and the client analyzes the acquired real-time environmental photos to obtain real-time equipment information, thus completing the inspection of the equipment environment. Understandably, camera devices include, but are not limited to, white light cameras, bullet cameras, and 360° PTZ cameras. Different types of camera devices are used for different application scenarios. White light cameras are used, but are not limited to, to identify whether nuclear power plant equipment is leaking oil; bullet cameras are used, but are not limited to, to identify whether there is smoke, water leakage, gas emission, or changes in the level gauge in the nuclear power plant environment; 360° PTZ cameras are used, but are not limited to, to identify the safety behaviors of inspection personnel in nuclear power plants. These safety behaviors include behaviors such as not wearing safety helmets, safety belts, work clothes, masks, or protective gloves, which do not meet safety requirements. They also include behaviors such as crossing prohibited areas, making or receiving phone calls while walking, prolonged stays, leaving the post during night shifts, sleeping on the job, using mobile phones while walking, and not holding the handrail when going up or down stairs in the plant, which do not meet safety requirements. Understandably, the camera device acquires real-time video information of specific scenes in the nuclear power plant and the safety behavior of inspection personnel. It randomly captures images from the real-time video information and transmits the captured images to the client via a transmission network. The client has a preset environment image library. It compares the captured images with the preset environment image library to obtain comparison analysis results and judges the comparison analysis results. When the comparison analysis results meet the requirements, the client displays the comparison analysis results. When the comparison analysis results do not meet the requirements, the client displays the comparison analysis results on the client and issues an alarm message at the same time.

[0068] S3-4: Display the acquired real-time equipment information in a digitally simulated field scenario. Specifically, the digitally simulated field scenario is built on the client side. The equipment to be inspected corresponds one-to-one with the virtual equipment in the digitally simulated field scenario. The inspection device and the client are connected through a transmission network. After the inspection device collects the real-time information of the equipment to be inspected, it transmits it to the client for display through the transmission network.

[0069] In this embodiment, when the obtained inspection task type is on-site inspection, step S3 includes the following steps:

[0070] S3-1': When the inspection task type is local inspection, the equipment to be inspected is inspected in the nuclear power plant according to the inspection task. Specifically, local inspection is when inspection personnel use a handheld terminal to inspect the equipment to be inspected, and the equipment to be inspected is inspected on-site at the nuclear power plant according to the inspection task.

[0071] S3-2': A handheld terminal is used to scan the equipment to be inspected to obtain its location information. Based on this location information, it is determined whether the equipment meets the inspection task requirements. Specifically, each piece of equipment to be inspected has a corresponding QR code. Inspection personnel scan the QR code with their handheld terminal to obtain the equipment's location information. This location information is then compared with the obtained inspection task to confirm that the equipment and task correspond. Alternatively, the QR code can be used to access a historical record database, where the historical inspection records of the equipment to be inspected can be viewed based on the obtained location information.

[0072] S3-3': Utilize a handheld terminal to collect real-time equipment information of the equipment to be inspected. Specifically, after the equipment to be inspected is matched with the inspection task, the handheld terminal is used to inspect the equipment. The handheld terminal has the functions of taking photos, recording videos, and collecting text data from the equipment to be inspected. The inspection personnel make judgments based on the inspection task, taking photos, recording videos, or collecting text data from the equipment to be inspected, and finally transmitting the obtained status of the equipment to be inspected to the client via the transmission network. After completing an inspection, the inspection results need to be uploaded to the historical record database via the handheld terminal so that the inspection record can be retrieved during subsequent inspections.

[0073] In this embodiment, when the obtained inspection task type is an inspection route, step S3 further includes the following steps:

[0074] S3-4': Install several camera devices along the inspection route and collect video information along the route. Specifically, install several camera devices along the inspection route to collect video information that needs to be collected. The video information mainly includes whether the inspection personnel are wearing clothing that does not meet safety requirements or whether their inspection operations do not meet safety requirements.

[0075] S3-5': Determine whether the inspection personnel's behavior is standardized based on video information. Specifically, video information of the inspection personnel's behavior is acquired through camera devices. This behavioral video information includes the inspection personnel's actions and inspection movements. The client randomly extracts images from the video information and analyzes and compares these images in a comparison and analysis database to obtain the comparison results. When the inspection personnel's behavior does not meet safety requirements, the client's personnel behavior bar displays an abnormal status and issues an alarm. When the inspection personnel's inspection movements do not meet inspection requirements, the client's inspection movement bar displays an abnormal status and issues an alarm. Based on the alarms, the monitoring personnel issue prompts to the inspection personnel.

[0076] In this embodiment, step S3 further includes the following steps:

[0077] S3-6': Acquire health monitoring data and activity trajectory data of inspection personnel, and determine whether the inspection personnel meet the standards based on the health monitoring data and activity trajectory data. Specifically, inspection personnel wear wrist-worn monitoring devices that can monitor the inspection personnel's heart rate, blood pressure, and blood oxygen levels, etc. The monitored health indices are used to determine the inspection personnel's health status, which is divided into three levels: excellent, good, and poor. The wrist-worn device analyzes the monitored health indices and makes a judgment based on the analysis results. When the inspection personnel's health status is poor, the wrist-worn device sends an alarm to the inspection personnel via vibration. The inspection personnel can check the reason for the alarm through the wrist-worn device. At the same time, the wrist-worn device also sends the alarm to the client. Upon receiving the alarm, the monitoring personnel on the client side also remind the inspection personnel. Furthermore, the wrist-worn device has a positioning function, which can record the inspection personnel's activity trajectory in real time and determine whether the recorded activity trajectory meets the inspection requirements. When it does not meet the inspection requirements, the wrist-worn device vibrates to alert the inspection personnel, and simultaneously transmits the alarm information to the client side.

[0078] In this embodiment, an electronic fence area is set up within the nuclear power plant. In steps S3-6', the activity trajectory data is used to determine whether the inspection personnel have entered the electronic fence area. Specifically, an electronic fence is set up within the nuclear power plant, and the area restricted by the electronic fence is set in a wrist-worn device. The wrist-worn device has a positioning function, records the activity trajectory of the inspection personnel, and compares the obtained activity trajectory of the inspection personnel with the electronic fence area in the wrist-worn device to see if there is any overlap. If there is an overlap, it is determined whether the inspection personnel have permission to enter the area. If not, the wrist-worn device issues an alarm message and simultaneously sends the alarm message to the monitoring personnel on the client side. The electronic fence area is divided into a primary electronic fence area and a secondary electronic fence area. The primary electronic fence area is a dangerous area where personal safety accidents are prone to occur. Entry into the primary electronic fence area is prohibited during the operation of nuclear power plant equipment. The secondary electronic fence area is a professional area, and only the corresponding inspection personnel have the authority to enter the secondary electronic fence area. Before entering the secondary electronic fence area, the identity of the inspection personnel must be verified through a wrist-worn device. If the identity verification fails, the personnel are not authorized to enter. When an inspection personnel who has failed the identity verification enters, the wrist-worn device will send an alarm message to the inspection personnel and simultaneously send an alarm message to the monitoring personnel on the client side. The monitoring personnel will also remind the inspection personnel. In this embodiment, the first-level electronic fence area is equipped with hazard signs. Inspection personnel can identify whether it is a first-level electronic fence area by checking the hazard signs. The second-level electronic fence area is equipped with QR codes. Inspection personnel can verify their identity by scanning the QR codes with a wrist-worn device. Each wrist-worn device corresponds to one inspection personnel. After scanning the QR code with the wrist-worn device, the address code of the wrist-worn device is obtained. The address code is used to determine whether the inspection personnel wearing the wrist-worn device have the right to enter the second-level electronic fence area.

[0079] In this embodiment, when the inspection task type is equipment status inspection, step S3 includes:

[0080] S3-1”: When the obtained inspection task type is equipment status inspection, the operating status of the equipment to be inspected in the nuclear power plant is inspected according to the inspection task type. Specifically, the operating status of the equipment to be inspected is obtained according to the inspection task type.

[0081] S3-2”: The operating status of the equipment to be inspected is obtained using vibration sensors and / or temperature sensors. Specifically, sensors are installed on the operating equipment within the nuclear power plant. These sensors include, but are not limited to, vibration sensors and temperature sensors. Both the vibration and temperature sensors are mounted on the body of the operating equipment. The vibration sensor is used to acquire the vibration data of the operating equipment, and the temperature sensor is used to acquire the operating temperature. All sensors are connected to the client via a transmission network, and the collected vibration data and operating temperature are transmitted to the client for display. This embodiment uses vibration and temperature sensors as examples for illustration. When those skilled in the art apply other types of sensors to the operating equipment, they also fall within the scope of protection of this embodiment.

[0082] like Figure 2 The diagram shows a structural schematic of an intelligent inspection system for nuclear power plants provided by the present invention. In this embodiment, the intelligent inspection system for nuclear power plants may include a data acquisition module, a transmission module, a processing module, and an application module. The data acquisition module acquires real-time equipment information according to inspection rules. The processing module is communicatively connected to the transmission module and is used to receive inspection tasks, obtain the inspection task type based on the task, and issue inspection rules according to the task type. The processing module is also used to receive and process real-time equipment information. The inspection rules are transmitted to the data acquisition module via the transmission module, and the real-time equipment information acquired by the data acquisition module according to the inspection rules is transmitted to the processing module via the transmission module for processing. The application module is communicatively connected to the processing module and is used to establish a digital simulation of the nuclear power plant's on-site scenario and issue inspection tasks to the processing module. Monitoring personnel can also set inspection cycles on the application module, and the application module will periodically issue inspection tasks according to the set inspection cycles. Furthermore, the client application is built on the application module for monitoring personnel. It includes an intelligent inspection application unit, which comprises measurement point management, inspection point management, inspection task management, inspection result query, abnormal information management, equipment management, and power plant information maintenance. Among these, the inspection result query is partially based on inspection tasks, inspection routes, and measurement points; the abnormal information management part provides unified abnormal management for all abnormal content found during inspections; the equipment management part manages equipment using intelligent methods; and the power plant information maintenance part supports on-the-job maintenance by monitoring and inspection personnel, as well as the maintenance of basic power plant information.

[0083] In this embodiment, the real-time equipment information collected by the acquisition module includes, but is not limited to, data on the base power plant, unit systems, plant rooms, equipment locations, measurement point criteria, departmental positions, personnel responsibilities, and operational schedules within the nuclear power plant. The acquisition module can be, for example, but not limited to, devices such as inspection robots, camera devices, smart meter covers, handheld terminals, smart safety helmets, vibration sensors, temperature sensors, and wrist-worn devices used to acquire real-time equipment information within the nuclear power plant area. Camera devices are mounted on inspection robots to collect real-time equipment information within the nuclear power plant; these devices are installed in areas with concentrated centralized control cabinets and in areas requiring monitoring of the safety behavior of inspection personnel. Smart meter covers are installed on distributed meters to acquire real-time equipment information from these meters. Vibration and temperature sensors are installed on the equipment to be inspected to acquire its operating status; wrist-worn devices are worn by inspection personnel during inspections to acquire their health monitoring data and activity trajectory data. The transmission module communicates with the acquisition module to transmit real-time equipment information and inspection rules.

[0084] In this embodiment, the transmission module includes, but is not limited to, WiFi, Ethernet, and 4G / 5G networks for transmitting real-time device information. The transmission module supports data transmission from inspection devices such as cameras, sensors, and wireless meters.

[0085] In this embodiment, the processing module may include an analysis and comparison unit and a result judgment unit. The processing module processes the received real-time device information and transmits the processed information to the analysis and comparison unit. The analysis and comparison unit includes an analysis and comparison library and a preset environmental image library. When the device type is a centralized control cabinet, a distributed meter, or locally operating equipment, the collected real-time device information is compared and analyzed in the analysis and comparison library. When the device type is environmental inspection, the collected real-time device information is analyzed and compared in the preset environmental image library, and the comparison results are displayed to the application module. The analysis and comparison unit also includes a common sense library, a reasoning library, a data analysis algorithm model library, a knowledge base, an intelligent inspection algorithm library, and a case library to support intelligent inspection. The data analysis algorithm model library includes video analysis, temperature recognition, and vibration recognition. Video analysis involves recognizing camera video for personnel, equipment, and pipelines; temperature recognition involves temperature recognition for equipment, pipelines, and electrical equipment; and vibration recognition involves vibration recognition for rotating machinery and fluid equipment. The knowledge base includes an inspection alarm rule base and an inspection result storage base. The inspection alarm rule base is divided into numerical, criterion, and status categories according to the characteristics of the inspection result data. Inspection standards are configured in the inspection alarm rule base according to the characteristics of the equipment to be inspected. The inspection result storage base automatically stores real-time abnormal equipment information for a long time after an alarm is issued, so that inspection personnel can use it as a maintenance reference when maintaining the equipment.The intelligent inspection algorithm library includes algorithms for recognizing pointer instruments, digital instruments, status lights, rotary switches, switchgear meters, oil leaks, water leaks, smoke, fumes, level gauges, smoking, safety helmets, and seat belts. The pointer and digital instrument recognition algorithms are used on smart meter covers and white light camera terminals to convert pointer instruments in nuclear power plants into data and transmit it to the application for display. The status light, rotary switch, switchgear meter, and oil leak recognition algorithms are used on white light camera terminals used in conjunction with inspection robots. The status light recognition algorithm identifies nuclear power plant status lights and transmits the data to the application for display; the rotary switch recognition algorithm identifies the status of rotary switches and transmits the data to the application for display; the switchgear meter recognition algorithm identifies the status of switchgear in nuclear power plants and transmits the data to the application for display; and the oil leak recognition algorithm identifies the status of switchgear in nuclear power plants and transmits the data to the application for display. The first algorithm is used to identify whether nuclear power plant equipment is leaking oil and transmit the data to the application terminal for display. The second algorithm, which identifies leaks (water, smoke, and gas) and liquid level gauges, is used in the camera terminal. Specifically, the first algorithm identifies whether nuclear power plant equipment is leaking water and transmits the data to the application terminal for display. The second algorithm identifies whether there is smoke or gas in the nuclear power plant environment and transmits the data to the application terminal for display. The third algorithm identifies the scale on the liquid level gauge and transmits the data to the application terminal for display. The fourth algorithm, which identifies smoking, safety helmets, and seat belts, is used in the 360° PTZ camera terminal. The first algorithm identifies whether nuclear power plant inspectors are smoking and transmits the data to the application terminal for display. The second algorithm identifies whether nuclear power plant inspectors are wearing safety helmets and transmits the data to the application terminal for display. The third algorithm identifies whether nuclear power plant inspectors are wearing seat belts and transmits the data to the application terminal for display. The result judgment unit is used to judge the comparison results and generate judgment results. The comparison results are transmitted to the result judgment unit for judgment. When the comparison results meet the requirements, the judgment results are displayed on the application module. When the comparison results do not meet the requirements, the judgment results are displayed on the application module and an alarm is triggered. The application module issues an alarm message, and the monitoring personnel can determine the location that does not meet the requirements based on the alarm message.

[0086] In this embodiment, standards that meet the inspection requirements are pre-set in the analysis and comparison library and the preset environment image library. The acquired real-time equipment information is compared with the set inspection requirements to generate a comparison result. When the comparison result does not meet the inspection requirements, an alarm is triggered, and the application module issues an alarm message. Further, the analysis and comparison library may include a pointer-type instrument analysis library, a digital instrument analysis library, a status light recognition library, a rotary switch recognition library, a switch cabinet meter analysis library, and a safety behavior analysis library. The system includes: a pointer-type instrument analysis library for analyzing and comparing real-time images of pointer-type instruments in nuclear power plants acquired through smart meter covers and cameras, and converting them into numerical values ​​for display in the application module; a digital instrument analysis library for analyzing and comparing real-time images of digital instruments in nuclear power plants acquired through smart meter covers and cameras, and converting them into numerical values ​​for display in the application module; a status light recognition library for analyzing and comparing real-time images of status lights on equipment to be inspected in nuclear power plants acquired through cameras; a rotary switch recognition library for analyzing and comparing real-time images of switch statuses on equipment to be inspected in nuclear power plants acquired through cameras, and generating status prompts for display in the application module; a switchgear meter analysis library for analyzing and comparing real-time images of meters installed on switchgear acquired through cameras, and converting them into numerical values ​​for display in the application module; and a safety analysis library for analyzing and comparing real-time images of inspection personnel behavior acquired through cameras, and generating safety behavior assessment data for display in the application module. The preset environment image library analyzes and compares real-time images of the on-site environment acquired by the camera device, and generates comparison results to be displayed to the application module.

[0087] In this embodiment, the application module may include an inspection portal unit, an intelligent inspection application unit, and an intelligent inspection mobile terminal.

[0088] The inspection portal unit is used to create a digital simulation of the nuclear power plant, display the comparison results, and issue inspection tasks. The inspection portal unit includes an inspection homepage, virtual inspection, and inspection interaction.

[0089] The intelligent inspection application unit is used for inspection query, inspection management, anomaly information management, real-time inspection information query, equipment management, nuclear power plant information maintenance, and system management. The intelligent inspection application unit includes a historical database and an information management database. The historical database stores real-time equipment information for equipment to be inspected. After each inspection, the acquired real-time equipment information is stored in the historical database. When querying historical data for equipment to be inspected, the database is accessed through the unique identifier of the equipment to retrieve the corresponding historical data. Based on this historical data, the operating trend of the equipment is predicted, enabling intelligent autonomous decision-making by the inspection device. This achieves intelligent inspection of the nuclear power plant, reducing manual labor intensity and the operational risks of the equipment to be inspected. The information management database stores unique information such as the operating information and identifier of the equipment to be inspected.

[0090] The intelligent inspection mobile terminal can push alarms, handle abnormal information, scan codes to view equipment information, alarm messages, conduct inspection queries, and perform manual inspections. It also assists in periodic testing by integrating video and voice functions, enabling remote interaction between monitoring and inspection personnel. Inspection personnel use the terminal to complete pre-test preparation tasks such as checking operation sheets, inspecting the test environment, issuing and receiving periodic test instructions, automatically assessing test conditions before testing, reporting results, and verifying and updating data after testing. Monitoring and inspection personnel share data to complete periodic tests. Specifically, this involves inspection personnel bringing the intelligent inspection mobile terminal to the nuclear power plant, monitoring personnel issuing inspection tasks to the terminal, inspection personnel conducting inspections based on the tasks, and transmitting the results to the application module for display. Monitoring personnel then use the displayed results to issue more inspection tasks or complete existing inspections. The intelligent inspection mobile terminal can also create a 3D virtual model and obtain inspection results through the terminal. When the inspection results are abnormal, alarm information can be received, and the abnormal location can be viewed through the alarm information. Furthermore, the intelligent inspection mobile terminal can also query information about the equipment to be inspected in real time and obtain the corresponding inspection results based on the measurement point or time.

[0091] In this embodiment, the comparison results generated by the processing unit are displayed on the inspection homepage. The inspection homepage can also display weather information, equipment information to be inspected, inspection statistics, inspection task statistics, and inspection point statistics.

[0092] In this embodiment, virtual inspection is achieved by using 3D modeling based on the nuclear power plant environment. This involves constructing 3D virtual models of different areas and dimensions within the nuclear power plant, including the plant itself and various areas. Real-time equipment information is processed to generate real-time data for the equipment to be inspected. This real-time data is then overlaid on the virtual model using data tags and visualization, enabling remote monitoring of the inspection equipment within the nuclear power plant. Simultaneously, a virtual remote control platform for nuclear power plant inspection is established using digital twin technology. This platform enables simultaneous virtual and real-world operation, status monitoring, and remote control of the inspection area. Historical data is stored, allowing for the analysis of historical operating status, parameter information, and processing value of equipment and the environment. This data is used to predict operational trends, enabling intelligent autonomous decision-making for inspection by inspection robots, smart meters, and wireless meters, thus completing daily inspections of key areas within the nuclear power plant. Taking the turbine hall as an example, virtual inspection will be explained. However, virtual inspection is not limited to the turbine hall. A 3D virtual model is used to establish 3D plant information for the turbine hall. This information includes, but is not limited to, key inspection points, hazard information, equipment warnings, inspection defects, and shift work information. The turbine hall is also virtually modeled using this 3D model. This model includes, but is not limited to, the 20-meter level centralized control cabinet, the 0-meter level main transformer area, and the 0-meter level condensate system area. During inspection, based on the inspection task, corresponding inspection rules are obtained, and the inspection points are then... The inspection process is as follows: When inspecting the centralized control cabinet on the 20-meter level, inspection points 1-4 are selected, with the robot and camera devices switching in real-time during the inspection. When inspecting the main transformer area on the 0-meter level, inspection points 5-8 are selected, with the camera devices and smart meter covers switching in real-time during the inspection. When inspecting the condensate system area on the 0-meter level, inspection points 9-12 are selected, with manual roaming, sensors, and other inspection devices switching in real-time during the inspection. After the inspection is completed, the results are displayed in a nine-square grid or list format, and the final inspection results are sent to monitoring personnel for confirmation. When using a 3D virtual model to inspect equipment in the nuclear power plant, the inspection information can also be viewed. The inspection information is displayed in an equipment tree and equipment directory tree format, showing the points on the equipment tree and equipment directory tree along with the corresponding inspection information.

[0093] In this embodiment, the inspection interaction involves describing the inspection through language. When the inspection is for safety behavior analysis, the inspection interaction describes the content of camera devices, electronic fences, and safety operation monitoring. When the inspection is for robot inspection, the inspection interaction describes the robot inspection page, which may include the inspection route and locations, and images acquired by the inspection robot. When the inspection is for sensor inspection, the inspection interaction describes the statistics and management of sensor inspection. When the inspection is for nuclear power plant data, the inspection interaction displays historical data obtained from actual inspections of the nuclear power plant. When the inspection is for periodic experiments, the inspection interaction allows monitoring personnel and inspection personnel to complete periodic experiments through a smart inspection mobile terminal and output experimental data.

[0094] In this embodiment, the intelligent inspection application unit may include inspection query, inspection management, inspection result query, abnormal information management, real-time information query, equipment management, departmental personnel management, nuclear power plant information maintenance, and real-time equipment information collection during inspection. Inspection query may include inspection task route result query and measurement point result query; the inspection task route result query displays inspection results based on the dimensions of inspection tasks and routes, while the measurement point result query displays inspection results based on the dimension of measurement points. Inspection management may include measurement point management, inspection point management, inspection route management, and inspection task management. A measurement point is the smallest unit of inspection and is associated with the intelligent inspection system of the nuclear power plant. Measurement point management involves creating measurement points and associating them with the equipment to be inspected. An inspection point is a physical location composed of measurement points; the measurement points inspected at a given location constitute an inspection point. Inspection point management involves creating inspection points and associating them with measurement points. An inspection route consists of several inspection points within a single inspection. Inspection route management involves creating inspection routes and associating them with inspection points. An inspection task comprises several inspection routes to be completed within a single inspection. Inspection task management involves creating inspection tasks, each containing multiple inspection routes. Inspection result queries can include queries for inspection tasks and routes, as well as queries for measurement points. The query for inspection tasks and routes displays the results on the inspection homepage, organized by task and route; the query for measurement points displays the results by measurement point. Anomaly information management includes anomaly result querying, notification generation, raw data identification, and judgment rule determination. Anomaly result querying involves querying the summary results of anomaly points obtained after inspecting the equipment to be inspected. Notification generation involves generating inspection notifications based on the inspection task and results, allowing monitoring personnel to confirm the inspection results. Raw data identification involves identifying and analyzing the acquired real-time equipment information. Judgment rule determination involves setting upper and lower alarm thresholds for the comparison results generated by the equipment to be inspected; an alarm is triggered when the comparison result is not between these thresholds. Real-time information querying involves triggering the equipment to be inspected on the inspection homepage and performing remote data identification. The identification results are transmitted to the analysis and comparison database for analysis, generating comparison results, and finally, the comparison results are judged in the result judgment database.Equipment management can include inspection robot management, smart meter cover management, distributed meter management, and camera device algorithm management. Inspection robot management involves configuring inspection robots to enable the backend to call upon the corresponding robots during inspections and obtain real-time equipment information; each inspection robot corresponds to a measurement point. Smart meter cover management involves configuring smart meters to obtain real-time images of the equipment to be inspected during inspections; each smart meter cover corresponds to a measurement point. Distributed meter management involves configuring distributed meters to receive real-time data from them. Camera device algorithm management involves configuring cameras to identify them during inspections by calling the corresponding information in the algorithm platform, obtaining real-time equipment information; each camera device corresponds to a measurement point. Nuclear power plant information maintenance includes power plant unit management, system infrastructure management, and plant building / room management. Power plant unit management involves maintaining the three-tiered organizational structure of the base, power plant, and units. System infrastructure management involves maintaining the basic information of each subsystem under the power plant. Plant building / room management involves maintaining the basic information of the plant's buildings and rooms. Department and personnel management includes department management, job management, and personnel management. Department management involves maintaining the basic information of departments under the power plant. Job management involves maintaining the basic information of each job under the power plant. Personnel management involves maintaining the basic information of personnel under the power plant. The real-time equipment information collection for inspections can include real-time equipment information collection from inspection robots, smart watch covers, wireless meters, and camera device algorithms. Specifically, real-time equipment information collection from inspection robots involves triggering the corresponding inspection robot location, then calling the robot through a background application. The robot completes the inspection of the designated location and sends the collected real-time equipment information back to the client. By establishing a one-to-one correspondence between the inspection robot's location and the measurement point, the corresponding real-time equipment information is obtained, thus completing the inspection. Real-time equipment information collection from smart watch covers involves triggering the corresponding smart watch cover based on the inspection task. The system performs image capture and recognition, and sends the recognition results back to the client. Based on the one-to-one correspondence between the smart meter cover ID and the measurement point, it obtains the corresponding real-time device information to complete the inspection. The wireless meter real-time device information collection involves the wireless meter periodically sending its real-time device information back to the client. Based on the one-to-one correspondence between the wireless meter ID and the measurement point, it obtains the corresponding real-time device information to complete the inspection. The camera device algorithm real-time device information collection involves triggering the corresponding algorithm interface according to the inspection task. The algorithm platform completes image capture and recognition by the camera device to obtain the corresponding real-time device information, and sends the obtained real-time device information back to the client to complete the inspection.Understandably, the camera devices, inspection robots, smart meter covers, and distributed meters in a nuclear power plant all have unique identification codes, which correspond one-to-one with the measurement points.

[0095] In this embodiment, the intelligent inspection mobile terminal can be used to inspect nuclear power plants. The intelligent inspection mobile terminal can perform alarm push notifications, anomaly information processing, scanning QR codes to view equipment information, manual inspection, viewing inspection results, viewing alarm information, and real-time inspection information queries. Specifically, scanning QR codes to view equipment information involves scanning a unique QR code on the equipment to be inspected to view its drawings and historical data. Viewing inspection results includes viewing inspection tasks and routes. Manual inspection involves inspecting the equipment according to the inspection tasks. Viewing alarm information includes viewing alarm lists and alarm details. Real-time inspection information queries allow users to view inspection information at any given time using the intelligent inspection mobile terminal.

[0096] like Figure 2 , Figure 3 As shown, in practical applications, the processing module and application module are integrated on the client side. The client connects to the monitoring screen, displaying real-time device information. Operations on the application module can all be performed on the client. During inspections, monitoring personnel issue inspection tasks through the client. The processing module processes these tasks to generate inspection rules. The acquisition module calls the corresponding inspection device according to the rules. After completing the inspection, the real-time device information acquired by the device is transmitted to the processing module via the transmission module. The processing module processes the real-time device information, generating comparison and judgment results. These results are then transmitted to the application module for display. Simultaneously, the processing module determines whether an alarm needs to be triggered based on the judgment result. If an alarm needs to be triggered, the processing module activates the alarm function of the application module. Furthermore, monitoring personnel can also view the inspection status and query historical inspection information through the client. Additionally, when periodic tests are required, monitoring personnel use the client in conjunction with a smart inspection mobile terminal brought to the site to complete the tests. It is understandable that the processing module and application module are not limited to integration on the client side.

[0097] In this embodiment, the client is built on a desktop computer. Of course, it can also be built on other terminals, including but not limited to laptops, tablets, and mobile phones.

[0098] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. An intelligent inspection method for nuclear power plants, characterized in that, include: S1: Establish a digital simulation site scenario corresponding to the nuclear power plant; S2: Obtain inspection tasks; S3: Based on the inspection task, obtain the inspection task type, and execute the corresponding inspection rules according to the inspection task type; the inspection task type includes online inspection; Step S3 includes: S3-1: When the obtained inspection task type is online inspection, select the corresponding equipment to be inspected in the digital simulated field scene according to the inspection task; S3-2: Obtain the corresponding equipment type based on the selected equipment to be inspected; S3-3: Based on the equipment type, call the corresponding inspection device to obtain the real-time equipment information of the corresponding equipment to be inspected; S3-4: Display the acquired real-time device information in the digitally simulated field scene.

2. The intelligent inspection method for nuclear power plants according to claim 1, characterized in that, The equipment types include centralized control cabinets and / or distributed meters; Step S3-3 includes: When the equipment type is the centralized control cabinet, the inspection robot is invoked to inspect the equipment to be inspected in order to obtain the corresponding real-time equipment information. When the device type is the distributed meter timing, the corresponding sensor device of the device to be inspected is invoked to obtain its corresponding real-time device information.

3. The intelligent inspection method for nuclear power plants according to claim 1, characterized in that, The equipment type includes equipment environmental inspection; Step S3-3 includes: When the device type is the device environment inspection, the camera device of the environment where the device to be inspected is located is invoked to obtain real-time environmental photos of the area where the device to be inspected is located, and the real-time device information is obtained by analyzing the real-time environmental photos.

4. The intelligent inspection method for nuclear power plants according to claim 1, characterized in that, The types of inspection tasks include on-site inspections; Step S3 includes: S3-1': When the obtained inspection task type is the local inspection, the equipment to be inspected in the nuclear power plant is inspected according to the inspection task. S3-2': Use a handheld terminal to perform a positioning scan on the equipment to be inspected to obtain the corresponding location information, and determine whether it meets the requirements of the inspection task based on the location information; S3-3': Use the handheld terminal to collect real-time equipment information of the equipment to be inspected.

5. The intelligent inspection method for nuclear power plants according to claim 4, characterized in that, The types of inspection tasks also include inspection routes; Step S3 also includes: S3-4': Several camera devices are installed along the inspection route, and video information along the inspection route is collected through the camera devices; S3-5': Determine whether the inspection personnel's behavior is in accordance with regulations based on the video information.

6. The intelligent inspection method for nuclear power plants according to claim 5, characterized in that, Step S3 also includes: S3-6': Obtain the health monitoring data and activity trajectory data of the inspection personnel, and determine whether the inspection personnel's inspection complies with the specifications based on the health monitoring data and activity trajectory data.

7. The intelligent inspection method for nuclear power plants according to claim 6, characterized in that, The nuclear power plant is equipped with an electronic fence; In steps S3-6', the activity trajectory data is used to determine whether the inspection personnel have entered the electronic fence area.

8. The intelligent inspection method for nuclear power plants according to claim 1, characterized in that, The inspection task types include equipment status inspection; Step S3 includes: S3-1”: When the obtained inspection task type is the equipment status inspection, the operating status of the equipment to be inspected in the nuclear power plant is inspected according to the inspection task type. S3-2”: The operating status of the equipment to be inspected is obtained by using a vibration sensor and / or a temperature sensor.

9. An intelligent inspection system for nuclear power plants, employing the intelligent inspection method according to any one of claims 1-8, characterized in that, The intelligent inspection system includes: a data acquisition module, a processing module, a transmission module, and an application module; The data acquisition module is used to receive the inspection rules and obtain real-time equipment information according to the inspection rules. The transmission module is communicatively connected to the acquisition module and is used to transmit the real-time device information; The processing module is communicatively connected to the transmission module and is used to receive the inspection task, obtain the inspection task type according to the inspection task, and issue the inspection rules according to the inspection task type. The application module is communicatively connected to the processing module and is used to establish a digital simulation site scene corresponding to the nuclear power plant and issue the inspection task.

10. The intelligent inspection system according to claim 9, characterized in that, The processing module includes: The analysis and comparison unit is used to analyze and compare real-time device information and generate comparison results. The result judgment unit is communicatively connected to the analysis and comparison unit and is used to judge the comparison results. When the comparison results do not meet the requirements, an alarm is triggered.

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