Nuclear power plant intelligent inspection system based on GIS

Abstract

The invention specifically relates to a GIS-based nuclear power plant intelligent inspection system, and the system comprises an inspection image analysis module which is used for comparing an inspection image with a standard image, and generating difference image information or normal image information; the equipment self-adaptive analysis module is used for sending the generated abnormal equipment information to the deposit equipment analysis module and sending the generated normal equipment information to the conventional equipment analysis module; the deposit equipment analysis module is used for generating abnormal equipment inspection time information and sending the abnormal equipment inspection time information to the inspection information output module; the conventional equipment analysis module is used for generating normal equipment inspection time information and sending the normal equipment inspection time information to the inspection information output module; and the inspection information output module is used for displaying the received inspection time information of the abnormal equipment and the inspection time information of the normal equipment to an operator. Through systematic analysis of nuclear power plant data, comprehensive judgment is performed on the equipment, and fixed-point and fixed-time inspection of the nuclear power plant equipment is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent inspection of nuclear power plants, and in particular to an intelligent inspection system of nuclear power plants based on GIS. Background Art

[0002] In nuclear power plants, inspection work is an important part of ensuring the normal operation of equipment and preventing accidents. Due to the complexity and importance of equipment in nuclear power plants, inspection tasks usually include regular inspections of a large number of dispersed equipment to monitor their operating status and performance. Traditional manual inspection methods have the following shortcomings:

[0003] Inefficiency: Manual inspections are time-consuming and may lead to repeated walking due to unreasonable path planning, which increases inspection time.

[0004] Safety hazards: Nuclear power plants have dangerous factors such as radiation, and long-term manual work may pose a threat to personnel health.

[0005] Limited accuracy: Manual recording and judgment may lead to data errors or omissions due to individual differences, fatigue and other factors.

[0006] Unreasonable resource allocation: Lack of scientific resource scheduling methods may lead to waste or shortage of human resources in certain areas.

[0007] Poor real-time performance: Manual data collection makes it difficult to achieve real-time monitoring and rapid response. Summary of the invention

[0008] The purpose of the present invention is to provide a GIS-based intelligent inspection system for nuclear power plants to solve the above-mentioned problems existing in manual inspections of nuclear power plants. Through systematic analysis of nuclear power plant data, comprehensive judgments are made on equipment to achieve fixed-point and regular inspections of nuclear power plant equipment.

[0009] In order to achieve the above object, the present invention provides the following technical solutions:

[0010] A GIS-based intelligent inspection system for nuclear power plants, comprising:

[0011] The inspection image analysis module is used to compare the inspection image with the standard image, generate difference image information or normal image information and send it to the device adaptive analysis module;

[0012] The device adaptive analysis module is used to generate abnormal device information according to the received difference image information, and to generate normal device information according to the received normal image information; the generated abnormal device information is sent to the difference device analysis module, and the generated normal device information is sent to the conventional device analysis module;

[0013] The abnormal device analysis module is used to analyze the received abnormal device information and generate the initial abnormal signal or multiple abnormal signals; analyze the generated initial abnormal signal or multiple abnormal signals, generate abnormal device inspection time information and send it to the inspection information output module;

[0014] Conventional equipment analysis module, used to analyze the received normal equipment information to generate complete equipment information or maintenance equipment information; analyze the generated complete equipment information or maintenance equipment information to generate normal equipment inspection time information and send it to the inspection information output module;

[0015] The inspection information output module is used to display the received abnormal equipment inspection time information and normal equipment inspection time information to the operator.

[0016] In the present invention, the intelligent inspection system of a nuclear power plant further includes an inspection task acquisition module and an inspection robot;

[0017] The inspection task acquisition module is used to send the acquired inspection tasks to the inspection image analysis module and the inspection robot;

[0018] The inspection image analysis module is also used to obtain a standard image corresponding to the equipment information according to the received inspection task; receive the inspection image;

[0019] The inspection robot is used to obtain the inspection image corresponding to the equipment information according to the received inspection task and send it to the inspection image analysis module.

[0020] In the present invention, the inspection image analysis module compares the inspection image with the standard image to generate difference image information or normal image information, including the following steps:

[0021] When there is a difference between the standard image and the inspection image, the inspection image is recorded as a difference image, and difference image information is generated;

[0022] When there is no difference between the standard image and the inspection image, the inspection image is recorded as a normal image, and normal image information is generated.

[0023] In the present invention, the device adaptive analysis module generates abnormal device information according to the received difference image, including the following steps:

[0024] According to the difference image information, a difference area in the difference image is marked, a difference device in the difference area is acquired, the acquired difference device is recorded as an abnormal device, and abnormal device information is generated;

[0025] The device adaptive analysis module generates normal device information according to the received normal image, including the following steps:

[0026] According to the normal image information, the devices in the normal image are recorded as normal devices, and the normal device information is generated.

[0027] In the present invention, the abnormal device analysis module analyzes the received abnormal device information to generate the initial abnormal signal or multiple abnormal signals, including the following steps:

[0028] Generate the abnormal cause of the abnormal device according to the abnormal device information; locate the abnormal part of the abnormal device according to the abnormal cause of the abnormal device;

[0029] Obtain historical data of the abnormal part, and determine whether the abnormal part is the first abnormality based on the historical data of the abnormal part;

[0030] If the abnormal part is the first abnormality, a primary abnormality signal is generated; if the abnormal part is multiple abnormalities, multiple abnormality signals are generated.

[0031] In the present invention, the abnormal device analysis module analyzes the generated initial abnormal signal and generates abnormal device inspection time information, including the following steps:

[0032] According to the generated initial abnormal signal, the maintenance operation corresponding to the abnormal part is classified as a simple operation or a difficult operation;

[0033] For simple or difficult operations, the priority value of the abnormal part is calculated according to the following formula:

[0034]

[0035] Among them, G is the priority value of the abnormal part; D is the inspection order of the abnormal part, which is obtained by the storage device analysis module; T is the maintenance time corresponding to the simple operation or difficult operation, which is obtained by the storage device; Ta is the inspection time interval of the abnormal part, which is obtained by the storage device.

[0036] In the present invention, the abnormal device analysis module analyzes the generated multiple abnormal signals to generate abnormal device inspection time information, including the following steps:

[0037] Obtain the maintenance time interval in the historical data of abnormal parts, and calculate the mean maintenance time interval T in the historical data of abnormal parts p ;

[0038] The mean maintenance time interval T in the historical data of abnormal parts p As the abnormal device inspection time, abnormal device inspection time information is generated.

[0039] In the present invention, the conventional equipment analysis module analyzes the received normal equipment information to generate complete equipment information or maintenance equipment information, including the following steps:

[0040] Obtain historical data of normal equipment; determine whether normal equipment needs maintenance based on the historical data of normal equipment;

[0041] If the normal equipment is under maintenance, the normal equipment is classified as maintenance equipment and maintenance equipment information is generated;

[0042] If there is no maintenance for the normal equipment, the normal equipment is classified as a complete equipment and the complete equipment information is generated.

[0043] In the present invention, the normal equipment inspection time information includes the maintenance equipment inspection time information; the conventional equipment analysis module analyzes the generated maintenance equipment to generate the maintenance equipment inspection time information, including the following steps:

[0044] According to the maintenance equipment information, obtain the maintenance component n corresponding to the maintenance equipment, n = 1, 2, ..., m; obtain the maintenance times C of the maintenance component n in the maintenance equipment history data n and maintenance time T n , calculate the maintenance value F of maintenance component n n ; The maintenance value F for all maintenance components n n Perform mean calculation to generate the mean value F of maintenance equipment p ;

[0045] Obtain the inspection time interval in the historical data of the maintenance equipment; if the inspection time intervals in the historical data of the maintenance equipment are the same, use the inspection time interval in the historical data of the maintenance equipment as the mean inspection time interval T of the maintenance equipment r If the inspection time intervals in the historical data of the maintenance equipment are different, the average inspection time interval in the historical data of the maintenance equipment is used as the mean inspection time interval of the maintenance equipment T r ;

[0046] According to the maintenance equipment maintenance mean F p And the mean time interval between inspections of maintenance equipment T r , calculate the inspection time T of maintenance equipment z , generate inspection time information of maintenance equipment;

[0047] Inspection value F of inspection parts n The calculation formula is: Among them, F n is the maintenance value of the maintenance component, C n is the number of inspections of the inspection parts, T n The maintenance time of the repaired parts;

[0048] Maintenance equipment inspection time T z The calculation formula is: Among them, T zis the inspection time of maintenance equipment, T r is the average time interval between inspections of maintenance equipment, F p is the maintenance mean of the maintenance equipment; F y is the preset value for maintenance, a 1 is the preset scale factor.

[0049] In the present invention, the normal equipment inspection time information includes complete equipment inspection time information; the conventional equipment analysis module analyzes the generated complete equipment information to generate the complete equipment inspection time information, including the following steps:

[0050] According to the complete equipment information, obtain the complete equipment i, i = 1, 2, ..., j; obtain the inspection time interval T of the complete component i in the complete equipment history data i ;

[0051] The inspection time interval T of the complete component i i Perform mean calculation to generate the mean value T of the complete equipment inspection time interval p1 ;

[0052] According to the average time interval T of the complete equipment inspection p1 And the inspection time of maintenance equipment T z , calculate the complete equipment inspection time T v , generate complete equipment inspection time information;

[0053] Complete equipment inspection time T v The calculation formula is: v =(T p1 +T z )÷2, where T v is the complete equipment inspection time, T p1 is the mean time interval of the complete equipment inspection, T z This is the inspection time for maintenance equipment.

[0054] Beneficial technical effects of the present invention:

[0055] The GIS-based intelligent inspection system for nuclear power plants of the present invention compares inspection images to determine areas with abnormalities, further classifies and analyzes equipment in abnormal areas, determines specific components of the equipment that need to be repaired based on the causes of the abnormalities, and simultaneously performs inspection analysis based on the specific components, and generates inspection time information for abnormal equipment based on equipment historical data; normal equipment is classified based on the number of maintenance times, and corresponding maintenance values ​​are calculated based on parameters of the normal equipment, and finally inspection time information is generated based on the inspection time; fixed-point and scheduled inspections of different equipment in a nuclear power plant are achieved by integrating the equipment's historical data with its own parameters for overall analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a structural schematic diagram of an embodiment of a nuclear power plant intelligent inspection system based on GIS of the present invention;

[0057] Figure 2 The figure is a schematic diagram of the workflow of the GIS-based intelligent inspection system for nuclear power plants of the present invention. DETAILED DESCRIPTION

[0058] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used in the specification of the application are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0059] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0060] The technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings and specific embodiments.

[0061] See also Figure 1-2 This embodiment provides a GIS-based intelligent inspection system for nuclear power plants, including:

[0062] The inspection image analysis module is used to compare the inspection image with the standard image, generate difference image information or normal image information and send it to the device adaptive analysis module;

[0063] The device adaptive analysis module is used to generate abnormal device information according to the received difference image information, and to generate normal device information according to the received normal image information; the generated abnormal device information is sent to the difference device analysis module, and the generated normal device information is sent to the conventional device analysis module;

[0064] The abnormal device analysis module is used to analyze the received abnormal device information and generate the initial abnormal signal or multiple abnormal signals; analyze the generated initial abnormal signal or multiple abnormal signals, generate abnormal device inspection time information and send it to the inspection information output module;

[0065] Conventional equipment analysis module, used to analyze the received normal equipment information to generate complete equipment information or maintenance equipment information; analyze the generated complete equipment information or maintenance equipment information to generate normal equipment inspection time information and send it to the inspection information output module;

[0066] The inspection information output module is used to display the received abnormal equipment inspection time information and normal equipment inspection time information to the operator.

[0067] In this embodiment, the intelligent inspection system of a nuclear power plant further includes an inspection task acquisition module and an inspection robot;

[0068] The inspection task acquisition module is used to send the acquired inspection tasks to the inspection image analysis module and the inspection robot;

[0069] The inspection image analysis module is also used to obtain a standard image corresponding to the equipment information according to the received inspection task; receive the inspection image;

[0070] The inspection robot is used to obtain the inspection image corresponding to the equipment information according to the received inspection task and send it to the inspection image analysis module.

[0071] In this embodiment, the inspection task includes nuclear power plant area information, which includes information on different areas within the nuclear power plant and equipment information corresponding to different areas of the nuclear power plant; the inspection images obtained by the inspection robot according to the inspection task are images of different areas of the nuclear power plant and equipment corresponding to different areas of the nuclear power plant; the standard image is an image of the equipment under normal working conditions, and the corresponding equipment parameters, equipment status and equipment appearance of the equipment under normal working conditions are all in normal conditions.

[0072] In this embodiment, the inspection image analysis module compares the inspection image with the standard image to generate difference image information or normal image information, including the following steps:

[0073] When there is a difference between the standard image and the inspection image, the inspection image is recorded as a difference image, and difference image information is generated;

[0074] When there is no difference between the standard image and the inspection image, the inspection image is recorded as a normal image, and normal image information is generated.

[0075] In this embodiment, the device adaptive analysis module generates abnormal device information according to the received difference image, including the following steps:

[0076] According to the difference image information, a difference area in the difference image is marked, a difference device in the difference area is acquired, the acquired difference device is recorded as an abnormal device, and abnormal device information is generated;

[0077] The device adaptive analysis module generates normal device information according to the received normal image, including the following steps:

[0078] According to the normal image information, the devices in the normal image are recorded as normal devices, and the normal device information is generated.

[0079] In this embodiment, the device adaptive analysis module records the devices with damaged appearance, abnormal device parameters or abnormal device status in the difference area as abnormal devices.

[0080] In this embodiment, the abnormal device analysis module analyzes the received abnormal device information to generate the initial abnormal signal or multiple abnormal signals, including the following steps:

[0081] Generate the abnormal cause of the abnormal device according to the abnormal device information; locate the abnormal part of the abnormal device according to the abnormal cause of the abnormal device;

[0082] Obtain historical data of the abnormal part, and determine whether the abnormal part is the first abnormality based on the historical data of the abnormal part;

[0083] If the abnormal part is the first abnormality, a primary abnormality signal is generated; if the abnormal part is multiple abnormalities, multiple abnormality signals are generated.

[0084] In this embodiment, the abnormal device analysis module analyzes the generated initial abnormal signal, including the following steps:

[0085] According to the generated initial abnormal signal, the maintenance operation corresponding to the abnormal part is classified as a simple operation or a difficult operation;

[0086] For simple or difficult operations, the priority value of the abnormal part is calculated according to the following formula:

[0087]

[0088] Among them, G is the priority value of the abnormal part; D is the inspection order of the abnormal part, which is obtained by the abnormal equipment analysis module; T is the maintenance time corresponding to the simple operation or difficult operation, which is obtained by the abnormal equipment analysis module; Ta is the inspection time interval of the abnormal part, which is obtained by the abnormal equipment analysis module.

[0089] In this embodiment, simple operations include cleaning, lubrication and tightening, and difficult operations include replacement of damaged parts and parameter adjustment tests.

[0090] In this embodiment, the abnormal device analysis module analyzes the generated multiple abnormal signals to generate abnormal device inspection time information, including the following steps:

[0091] Obtain the maintenance time interval in the historical data of abnormal parts, and calculate the mean maintenance time interval T in the historical data of abnormal parts p ;

[0092] The mean maintenance time interval T in the historical data of abnormal parts p As the abnormal device inspection time, abnormal device inspection time information is generated.

[0093] In this embodiment, the conventional equipment analysis module analyzes the received normal equipment information to generate complete equipment information or maintenance equipment information, including the following steps:

[0094] Obtain historical data of normal equipment; determine whether normal equipment needs maintenance based on the historical data of normal equipment;

[0095] If the normal equipment is under maintenance, the normal equipment is classified as maintenance equipment and maintenance equipment information is generated;

[0096] If there is no maintenance for the normal equipment, the normal equipment is classified as a complete equipment and the complete equipment information is generated.

[0097] In this embodiment, the normal equipment inspection time information includes the maintenance equipment inspection time information; the conventional equipment analysis module analyzes the generated maintenance equipment to generate the maintenance equipment inspection time information, including the following steps:

[0098] According to the maintenance equipment information, obtain the maintenance component n corresponding to the maintenance equipment, n = 1, 2, ..., m; obtain the maintenance times C of the maintenance component n in the maintenance equipment history data n and maintenance time T n , calculate the maintenance value F of maintenance component n n ; The maintenance value F for all maintenance components n n Perform mean calculation to generate the mean value F of maintenance equipment p ;

[0099] Obtain the inspection time interval in the historical data of the maintenance equipment; if the inspection time intervals in the historical data of the maintenance equipment are the same, use the inspection time interval in the historical data of the maintenance equipment as the mean inspection time interval T of the maintenance equipment r If the inspection time intervals in the historical data of the maintenance equipment are different, the average inspection time interval in the historical data of the maintenance equipment is used as the mean inspection time interval of the maintenance equipment T r ;

[0100] According to the maintenance equipment maintenance mean F p And the mean time interval between inspections of maintenance equipment T r , calculate the inspection time T of maintenance equipment z , generate inspection time information of maintenance equipment;

[0101] Inspection value F of inspection parts n The calculation formula is: Among them, F n is the maintenance value of the maintenance component, C n is the number of inspections of the inspection parts, T n The maintenance time of the repaired parts;

[0102] Maintenance equipment inspection time T z The calculation formula is: Among them, T z is the inspection time of maintenance equipment, T r is the average time interval between inspections of maintenance equipment, F p is the maintenance mean of the maintenance equipment; F y is the preset value for maintenance, a 1 is the preset scale factor.

[0103] In this embodiment, the normal equipment inspection time information includes complete equipment inspection time information; the conventional equipment analysis module analyzes the generated complete equipment information to generate the complete equipment inspection time information, including the following steps:

[0104] According to the complete equipment information, obtain the complete equipment i, i = 1, 2, ..., j; obtain the inspection time interval T of the complete component i in the complete equipment history data i ;

[0105] The inspection time interval T of the complete component i i Perform mean calculation to generate the mean value T of the complete equipment inspection time interval p1 ;

[0106] According to the average time interval T of the complete equipment inspection p1 And the inspection time of maintenance equipment T z , calculate the complete equipment inspection time T v , generate complete equipment inspection time information;

[0107] Complete equipment inspection time T v The calculation formula is: v =(T p1 +T z )÷2, where T v is the complete equipment inspection time, T p1 is the mean time interval of the complete equipment inspection, T z This is the inspection time for maintenance equipment.

[0108] In this embodiment, the operator first inspects the equipment according to the inspection time information, and then inspects the abnormal parts in descending order of the priority values ​​G of the abnormal parts.

[0109] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A GIS-based intelligent inspection system for nuclear power plants, characterized in that: include: The inspection image analysis module is used to compare the inspection image with the standard image, generate difference image information or normal image information and send it to the device adaptive analysis module; The device adaptive analysis module is used to generate abnormal device information according to the received difference image information, and to generate normal device information according to the received normal image information; the generated abnormal device information is sent to the difference device analysis module, and the generated normal device information is sent to the conventional device analysis module; The abnormal device analysis module is used to analyze the received abnormal device information and generate the initial abnormal signal or multiple abnormal signals; Analyze the generated initial abnormal signal or multiple abnormal signals, generate abnormal equipment inspection time information and send it to the inspection information output module; Conventional equipment analysis module, used to analyze the received normal equipment information to generate complete equipment information or maintenance equipment information; analyze the generated complete equipment information or maintenance equipment information to generate normal equipment inspection time information and send it to the inspection information output module; The inspection information output module is used to display the received abnormal equipment inspection time information and normal equipment inspection time information to the operator.

2. The GIS-based intelligent inspection system for nuclear power plants according to claim 1, characterized in that: It also includes inspection task acquisition module and inspection robot; The inspection task acquisition module is used to send the acquired inspection tasks to the inspection image analysis module and the inspection robot; The inspection image analysis module is also used to obtain a standard image corresponding to the equipment information according to the received inspection task; Receive inspection images; The inspection robot is used to obtain the inspection image corresponding to the equipment information according to the received inspection task and send it to the inspection image analysis module.

3. The GIS-based intelligent inspection system for nuclear power plants according to claim 1, characterized in that: The inspection image analysis module compares the inspection image with the standard image to generate difference image information or normal image information, including the following steps: When there is a difference between the standard image and the inspection image, the inspection image is recorded as a difference image, and difference image information is generated; When there is no difference between the standard image and the inspection image, the inspection image is recorded as a normal image, and normal image information is generated.

4. The GIS-based intelligent inspection system for nuclear power plants according to claim 1, characterized in that: The device adaptive analysis module generates abnormal device information based on the received difference image, including the following steps: According to the difference image information, a difference area in the difference image is marked, a difference device in the difference area is acquired, the acquired difference device is recorded as an abnormal device, and abnormal device information is generated; The device adaptive analysis module generates normal device information according to the received normal image, including the following steps: According to the normal image information, the devices in the normal image are recorded as normal devices, and the normal device information is generated.

5. The GIS-based intelligent inspection system for nuclear power plants according to claim 1, characterized in that: The abnormal device analysis module analyzes the received abnormal device information and generates the first abnormal signal or multiple abnormal signals, including the following steps: Generate the abnormal cause of the abnormal device according to the abnormal device information; locate the abnormal part of the abnormal device according to the abnormal cause of the abnormal device; Obtain historical data of the abnormal part, and determine whether the abnormal part is the first abnormality based on the historical data of the abnormal part; If the abnormal part is the first abnormality, a primary abnormality signal is generated; if the abnormal part is multiple abnormalities, multiple abnormality signals are generated.

6. The GIS-based intelligent inspection system for nuclear power plants according to claim 5 is characterized in that: The abnormal device analysis module analyzes the generated initial abnormal signal, including the following steps: According to the generated initial abnormal signal, the maintenance operation corresponding to the abnormal part is classified as a simple operation or a difficult operation; For simple or difficult operations, the priority value of the abnormal part is calculated according to the following formula: Among them, G is the priority value of the abnormal part; D is the inspection order of the abnormal part, which is obtained by the abnormal equipment analysis module; T is the maintenance time corresponding to the simple operation or difficult operation, which is obtained by the abnormal equipment analysis module; Ta is the inspection time interval of the abnormal part, which is obtained by the abnormal equipment analysis module.

7. The GIS-based intelligent inspection system for nuclear power plants according to claim 1, characterized in that: The abnormal device analysis module analyzes the generated multiple abnormal signals and generates abnormal device inspection time information, including the following steps: Obtain the maintenance time interval in the historical data of abnormal parts, and calculate the mean maintenance time interval T in the historical data of abnormal parts p ; The mean maintenance time interval T in the historical data of abnormal parts p As the abnormal device inspection time, abnormal device inspection time information is generated.

8. The GIS-based intelligent inspection system for nuclear power plants according to claim 1, characterized in that: The conventional equipment analysis module analyzes the received normal equipment information and generates complete equipment information or maintenance equipment information, including the following steps: Obtain historical data of normal equipment; determine whether normal equipment needs maintenance based on the historical data of normal equipment; If the normal equipment is under maintenance, the normal equipment is classified as maintenance equipment and maintenance equipment information is generated; If there is no maintenance for the normal equipment, the normal equipment is classified as a complete equipment and the complete equipment information is generated.

9. The GIS-based intelligent inspection system for nuclear power plants according to claim 8, characterized in that: Normal equipment inspection time information includes maintenance equipment inspection time information; the conventional equipment analysis module analyzes the generated maintenance equipment to generate maintenance equipment inspection time information, including the following steps: According to the maintenance equipment information, obtain the maintenance component n corresponding to the maintenance equipment, n = 1, 2, ..., m; obtain the maintenance times C of the maintenance component n in the maintenance equipment history data n and maintenance time T n , calculate the maintenance value F of maintenance component n n ; The maintenance value F for all maintenance components n n Perform mean calculation to generate the mean value F of maintenance equipment p ; Obtain the inspection time interval in the historical data of the maintenance equipment; If the inspection time intervals in the historical data of the maintenance equipment are the same, the inspection time intervals in the historical data of the maintenance equipment are used as the mean inspection time intervals T of the maintenance equipment. r If the inspection time intervals in the historical data of the maintenance equipment are different, the average inspection time interval in the historical data of the maintenance equipment is used as the mean inspection time interval of the maintenance equipment T r ; According to the maintenance equipment maintenance mean F p And the mean time interval between inspections of maintenance equipment T r , calculate the inspection time T of maintenance equipment z , generate inspection time information of maintenance equipment; Inspection value F of inspection parts n The calculation formula is: Among them, F n is the maintenance value of the maintenance component, C n is the number of inspections of the inspection parts, T n The maintenance time of the repaired parts; Maintenance equipment inspection time T z The calculation formula is: Among them, T z is the inspection time of maintenance equipment, T r is the average time interval between inspections of maintenance equipment, F p is the maintenance mean of the maintenance equipment; F y is the preset value for maintenance, and a1 is the preset proportional coefficient.

10. The GIS-based intelligent inspection system for nuclear power plants according to claim 8, characterized in that: Normal equipment inspection time information includes complete equipment inspection time information; the conventional equipment analysis module analyzes the generated complete equipment information to generate complete equipment inspection time information, including the following steps: According to the complete device information, obtain the complete device i, i = 1, 2, ..., j; Get the inspection time interval T of the complete component i in the complete equipment history data i ; The inspection time interval T of the complete component i i Perform mean calculation to generate the mean value T of the complete equipment inspection time interval p1 ; According to the average time interval T of the complete equipment inspection p1 And the inspection time of maintenance equipment T z , calculate the complete equipment inspection time T v , generate complete equipment inspection time information; Complete equipment inspection time T v The calculation formula is: v =(T p1 +T z )÷2, where T v is the complete equipment inspection time, T p1 is the mean time interval of the complete equipment inspection, T z This is the inspection time for maintenance equipment.

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