Real-time monitoring and early warning method and system of nuclear power plant InSAR surface deformation

Abstract

The present invention provides a real-time monitoring and early warning method and system for InSAR surface deformation of a nuclear power plant, which belongs to the technical field of monitoring and early warning, and specifically comprises: determining the sampling ratio of interferometric radar data of different monitoring areas based on weather data and terrain change risk, performing sampling analysis on the interferometric radar data of different monitoring areas based on the sampling ratio of the interferometric radar data of the monitoring areas to obtain sample data, determining the change risk area in the monitoring area by utilizing the change of sample data at different positions in the monitoring area, acquiring the interferometric radar data in the change risk area, and determining whether it is necessary to issue an early warning signal according to the analysis results of the interferometric radar data of different change risk areas and the terrain change risk, thereby improving the efficiency of monitoring and early warning processing.

Description

Technical Field

[0001] The invention belongs to the field of monitoring and early warning technology, and in particular relates to a method and system for real-time monitoring and early warning of nuclear power plant InSAR surface deformation. Background Art

[0002] Interferometric radar refers to synthetic aperture radar (InSAR) that uses interferometric measurement technology. It is a recently developed space-based earth observation technology. It uses radar to transmit microwaves to the target area, and then receives the echo reflected by the target to obtain a SAR complex image pair of the same target area. If there is a coherence condition between the complex image pairs, the conjugate multiplication of the SAR complex image pairs can obtain an interference pattern. According to the phase value of the interference pattern, the path difference of the microwaves in the two imaging is obtained, thereby calculating the terrain, landforms and slight changes in the surface of the target area.

[0003] Many technical solutions for monitoring surface deformation based on interferometric radar are provided in the prior art. Specifically, in the invention patent application CN202211679213.2 "Surface deformation monitoring method and system based on INSAR technology", the surface deformation information of the target area is extracted based on the time-series INSAR settlement monitoring model, and the surface deformation trend of the target area is monitored and warned to obtain monitoring and warning information, which improves the accuracy of warning processing. However, the following technical problems exist in the prior art solutions:

[0004] Changes in the terrain around nuclear power plants, such as changes in high slopes, will have a certain degree of impact on the safety of nuclear power plants. Therefore, if early warning signals cannot be generated based on the monitoring results of surface deformation of different high slopes, the safety of nuclear power plants cannot be guaranteed.

[0005] In view of the above technical problems, the present invention provides a real-time monitoring and early warning method and system for nuclear power plant InSAR surface deformation. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions to achieve the purpose of the present invention:

[0008] According to one aspect of the present invention, a real-time monitoring and early warning method for nuclear power plant InSAR surface deformation is provided.

[0009] The real-time monitoring and early warning method of nuclear power plant InSAR surface deformation includes:

[0010] S1 determines the deviation between the distribution position of high slopes in different areas around the nuclear power plant and the distribution position of nuclear power equipment, and determines the terrain change risks and monitoring areas in different areas based on the distribution data of high slopes in different areas;

[0011] S2 obtains weather data of different monitoring areas in the most recent preset period, and determines the sampling ratio of interferometric radar data of different monitoring areas based on the weather data and the risk of terrain change;

[0012] S3 performs sampling analysis on the interferometric radar data of different monitoring areas based on the sampling ratio of the interferometric radar data of the monitoring area to obtain sample data, and determines the change risk area in the monitoring area by using the change of the sample data at different positions in the monitoring area;

[0013] S4: acquiring the interferometric radar data in the risk-of-change area, and determining whether it is necessary to issue an early warning signal according to the analysis results of the interferometric radar data in different risk-of-change areas and the risk of terrain change.

[0014] The beneficial effects of the present invention are:

[0015] The terrain change risks in different areas are determined based on the deviations between the distribution positions of high slopes in different areas around the nuclear power plant and the distribution positions of nuclear power equipment, as well as the distribution data of high slopes in different areas. This not only takes into account the safety impact on the nuclear power plant when deformation occurs due to the deviations between the distribution positions of high slopes and the distribution positions of nuclear power equipment, but also takes into account the differences in risks of deformation in different areas due to the differences in the number of high slopes in different areas. This realizes the screening of monitoring areas for terrain change risks from multiple dimensions, and improves the efficiency of deformation analysis and processing.

[0016] The sampling ratio of interferometric radar data in different monitoring areas is determined based on weather data and the risk of terrain change, thereby avoiding the technical problem of slow analysis and processing efficiency of all interferometric radar data. Dynamic adjustment of the sampling ratio of interferometric radar data in different monitoring areas is achieved from two perspectives: the impact of weather data on deformation and the impact of terrain changes on the safety of nuclear power plants. While reducing the difficulty of analysis and processing of interferometric radar data, reliable analysis and processing of monitoring areas with a high probability of change and a high risk of change is also achieved.

[0017] A further technical solution is that the nuclear power equipment includes nuclear island equipment, conventional island equipment and auxiliary systems.

[0018] A further technical solution is that the area is divided according to a target area within a preset distance range of the nuclear power plant, and specifically the area is divided according to a preset area.

[0019] A further technical solution is that the distribution data of the high side slopes include the distribution positions of the high side slopes, and the slope heights and areas of different high side slopes.

[0020] A further technical solution is that the sample data is constructed according to the interferometric radar data of different high slopes in the monitoring area in accordance with the sampling ratio.

[0021] A further technical solution is that the method for determining the change risk area in the monitoring area is:

[0022] Based on the changes in sample data at different locations in the monitoring area, determine the changes in sample data of different high slopes in the monitoring area, determine the percentage of changes in the number of sample data in the high slope based on the changes in the sample data of the high slope, and determine the data change coefficients of different high slopes based on the percentage of changes in the number of changes;

[0023] Determine the influence factors of nuclear power equipment on different high slopes through the deviation between different high slopes and the distribution positions of different types of nuclear power equipment;

[0024] The nuclear power equipment impact factor is used as the weight coefficient of different high slopes, and the comprehensive data variation coefficient of the monitoring area is determined in combination with the data variation coefficient of different high slopes. The change risk area in the monitoring area is determined using the comprehensive data variation coefficient.

[0025] A further technical solution is that when the comprehensive data variation coefficient of the monitoring area is not within a preset variation coefficient interval, it is determined that the monitoring area belongs to a variation risk area.

[0026] In a second aspect, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned nuclear power plant InSAR surface deformation real-time monitoring and early warning method when running the computer program.

[0027] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0030] Figure 1 It is a flow chart of the real-time monitoring and early warning method of InSAR surface deformation of nuclear power plants;

[0031] Figure 2 is a flow chart of a method for determining terrain change risk of an area;

[0032] Figure 3 is a flow chart of a method for determining a sampling ratio of interferometric radar data of a monitoring area;

[0033] Figure 4 is a flow chart of a method for determining a change risk area in a monitoring area;

[0034] Figure 5 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0036] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0037] Example 1

[0038] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, according to one aspect of the present invention, a method for real-time monitoring and early warning of surface deformation of a nuclear power plant by InSAR is provided, which specifically includes:

[0039] S1 determines the deviation between the distribution position of high slopes in different areas around the nuclear power plant and the distribution position of nuclear power equipment, and determines the terrain change risks and monitoring areas in different areas based on the distribution data of high slopes in different areas;

[0040] Furthermore, the nuclear power equipment includes nuclear island equipment, conventional island equipment and auxiliary systems.

[0041] Specifically, the area is divided according to a target area of ​​the nuclear power plant within a preset distance range, and specifically, the area is divided according to a preset area.

[0042] It should be noted that the distribution data of the high side slopes include the distribution positions of the high side slopes, and the slope heights and areas of different high side slopes.

[0043] Further, such as Figure 2 As shown, the method for determining the terrain change risk of the area is:

[0044] Obtaining the deviation between the distribution positions of different high slopes in the area and the distribution positions of different types of nuclear power equipment, and determining the nuclear power equipment influence factor when the different high slopes in the area are deformed based on the deviation;

[0045] Based on the distribution data of the high slopes in the area, the slope heights and areas of different high slopes are determined, and the slope heights and areas are used as input quantities to obtain preset deformation influence factors corresponding to different high slopes using a preset mapping model;

[0046] Based on preset deformation influence factors of different high slopes and nuclear power equipment influence factors, high-risk slopes in the area are obtained, and the terrain change risk of the area is determined by the number of the high-risk slopes.

[0047] It should be noted that the high-risk slopes in the area are determined based on the product of the preset deformation influence factors of different high slopes and the nuclear power equipment influence factors, wherein when the product is greater than the preset factor threshold, the high slope is determined to be a high-risk slope.

[0048] It can be understood that the value range of the nuclear power equipment impact factor is between 0 and 1, wherein the larger the nuclear power equipment impact factor is, the greater the probability that the high slope will have a safety impact on the nuclear power equipment when it is deformed.

[0049] It should be noted that the monitoring area is an area where the risk of terrain change is greater than a preset risk coefficient.

[0050] S2 obtains weather data of different monitoring areas in the most recent preset period, and determines the sampling ratio of interferometric radar data of different monitoring areas based on the weather data and the risk of terrain change;

[0051] Furthermore, the preset time period is determined according to the risk of terrain change in the monitoring area, wherein the greater the risk of terrain change in the monitoring area, the longer the preset time period is.

[0052] It should be noted that the weather data includes precipitation data, snowfall data and light data.

[0053] Specifically, Figure 3 As shown, the method for determining the sampling ratio of the interferometric radar data in the monitoring area is:

[0054] Based on the weather data, determine the weather data of different dimensions of the monitoring area within a preset time period, and based on the weather data of different dimensions, determine the historical reference time period of the monitoring area;

[0055] Based on the terrain change data of the high slope in the monitoring area during the historical reference period, determine the historical reference period in which the terrain change occurred, and use it as the change period;

[0056] The regional change risk factor of the monitoring area is determined by the proportion of the change period in the historical reference period and the terrain change risk, and the sampling ratio of the interferometric radar data of the monitoring area is determined by the regional change risk factor.

[0057] Furthermore, the historical reference period is a historical period in which the deviation of weather data of different dimensions from the preset period is within a preset deviation range.

[0058] It should also be noted that the regional change risk factor of the monitoring area is determined according to the product of the proportion of the change period in the historical reference period and the terrain change risk.

[0059] Optionally, determining the sampling ratio of the interferometric radar data in the monitoring area includes steps S21-S22, specifically:

[0060] S21: determining weather data of different dimensions of the monitoring area within a preset period based on the weather data, and determining a historical reference period of the monitoring area based on the weather data of different dimensions;

[0061] S22, based on the terrain change data of the high slope in the monitoring area during the historical reference period, determining the historical reference period in which the terrain change occurred, and using it as the change period, and determining the terrain change coefficients of different change periods based on the time corresponding to different change periods and the terrain change data of the high slope in the monitoring area;

[0062] S23 determines the regional change risk factor of the monitoring area through the proportion of the change period in the historical reference period, the terrain change coefficient of different change periods and the terrain change risk, and determines the sampling ratio of the interferometric radar data of the monitoring area through the regional change risk factor.

[0063] Furthermore, the second sampling ratio is greater than the preset sampling ratio.

[0064] S3 performs sampling analysis on the interferometric radar data of different monitoring areas based on the sampling ratio of the interferometric radar data of the monitoring area to obtain sample data, and determines the change risk area in the monitoring area by using the change of the sample data at different positions in the monitoring area;

[0065] It can be understood that the sample data is constructed according to the interferometric radar data of different high slopes in the monitoring area in accordance with the sampling ratio.

[0066] Specifically, Figure 4 As shown, the method for determining the change risk area in the monitoring area is:

[0067] Based on the changes in sample data at different locations in the monitoring area, determine the changes in sample data of different high slopes in the monitoring area, determine the percentage of changes in the number of sample data in the high slope based on the changes in the sample data of the high slope, and determine the data change coefficients of different high slopes based on the percentage of changes in the number of changes;

[0068] Determine the influence factors of nuclear power equipment on different high slopes through the deviation between different high slopes and the distribution positions of different types of nuclear power equipment;

[0069] The nuclear power equipment impact factor is used as the weight coefficient of different high slopes, and the comprehensive data variation coefficient of the monitoring area is determined in combination with the data variation coefficient of different high slopes. The change risk area in the monitoring area is determined using the comprehensive data variation coefficient.

[0070] Furthermore, when the comprehensive data variation coefficient of the monitoring area is not within a preset variation coefficient interval, it is determined that the monitoring area belongs to a variation risk area.

[0071] Optionally, the determination of the change risk area in the monitoring area includes steps S31-S33, specifically:

[0072] S31 determines the changes in sample data of different high slopes in the monitoring area based on the changes in sample data at different locations in the monitoring area, determines the percentage of changes in the sample data in the high slope based on the changes in the sample data of the high slope, and determines the data change coefficients of different high slopes based on the percentage of changes and the changes in the sample data;

[0073] S32 determines the nuclear power equipment impact factors of different high slopes through the deviation between different high slopes and the distribution positions of different types of nuclear power equipment;

[0074] S33 determines the data variation high slope according to the data variation coefficient, takes the nuclear power equipment impact factor as the weight coefficient of different high slopes, and determines the comprehensive data variation coefficient of the monitoring area in combination with the data variation coefficients of different data variation high slopes, and uses the comprehensive data variation coefficient to determine the change risk area in the monitoring area.

[0075] Optionally, the above step S31 includes steps S311-S313, which are specifically:

[0076] S311 determines the changes in sample data of different high slopes in the monitoring area based on the changes in sample data at different locations in the monitoring area. When there is no high slope with changed sample data, it is determined that the monitoring area does not belong to the change risk area. When there is a high slope with changed sample data, the process proceeds to step S312.

[0077] S312: obtaining the proportion of sample data that has changed in the monitoring area. When the proportion of sample data that has changed in the monitoring area is less than a preset proportion coefficient, it is determined that the monitoring area does not belong to a change risk area. When the proportion of sample data that has changed in the monitoring area is not less than the preset proportion coefficient, the process proceeds to step S313.

[0078] S313 determines the proportion of changes in the sample data of the high slope based on the changes in the sample data of the high slope, and determines the data change coefficients of different high slopes based on the proportion of changes and the changes in the sample data. When there is a high slope whose data change coefficient does not meet the requirements, enters step S32. When there is no high slope whose data change coefficient does not meet the requirements, it is determined that the monitoring area does not belong to the change risk area.

[0079] Optionally, the above step S33 includes step S331 and step S332, which specifically include:

[0080] S331 determines the data change high slope according to the data change coefficient. When the number of the data change high slope is less than the preset change high slope number threshold, the process proceeds to step S332. When the number of the data change high slope is not less than the preset change high slope number threshold, the process proceeds to step S333.

[0081] S332 determines the data change risk coefficients of different data change high slopes by multiplying the nuclear power equipment impact factors of different data change high slopes by the data change coefficients. When there is no data change high slope whose data change risk coefficient does not meet the requirements, it is determined that the monitoring area does not belong to the change risk area. When there is a data change high slope whose data change risk coefficient does not meet the requirements, it proceeds to step S333.

[0082] S333 uses the impact factor of the nuclear power equipment as the weight coefficient of different high slopes, and combines the data variation coefficients of different data variation high slopes to determine the comprehensive data variation coefficient of the monitoring area, and uses the comprehensive data variation coefficient to determine the change risk area in the monitoring area.

[0083] S4: acquiring the interferometric radar data in the risk-of-change area, and determining whether it is necessary to issue an early warning signal according to the analysis results of the interferometric radar data in different risk-of-change areas and the risk of terrain change.

[0084] It should be noted that determining whether it is necessary to issue an early warning signal includes:

[0085] Determine the change of the interferometric radar data of the high slopes in different change risk areas according to the analysis results of the interferometric radar data of the different change risk areas, and determine the deformation amounts of different high slopes based on the change of the interferometric radar data of the different high slopes;

[0086] According to the deformation amounts of different high slopes in different change risk areas, the number of high slopes with deformation risks in different change risk areas is determined, and based on the number of high slopes with deformation risks, the regional change risk coefficients of different change risk areas are determined;

[0087] Based on the terrain change risks of different change risk areas, regional weight coefficients of different change risk areas are determined, and the surface deformation coefficients are determined in combination with the regional change risk coefficients of different change risk areas, and it is determined whether a warning signal needs to be issued based on the surface deformation coefficient.

[0088] Furthermore, the value range of the surface deformation coefficient is between 0 and 1, wherein when the surface deformation coefficient is greater than a preset deformation coefficient threshold, it is determined that an early warning signal needs to be issued.

[0089] It can also be understood that, optionally, before entering step S22, it is also necessary to determine whether there is a historical reference period in the monitoring area based on weather data of different dimensions. If and only if there is a historical reference period in the monitoring area, enter step S22. When there is no historical reference period, the preset sampling ratio is used to determine the sampling ratio of the interferometric radar data in the monitoring area.

[0090] Optionally, the above step S21 includes step S211 and step S222, which are specifically:

[0091] S221 determines whether the terrain change risk of the monitoring area is greater than a preset change risk threshold based on the terrain change risk of the monitoring area. If so, determines the sampling ratio of the interferometric radar data of the monitoring area based on the second sampling ratio. When the terrain change risk of the monitoring area is not greater than the preset change risk threshold, proceeds to step S222;

[0092] S222 determines the weather data of different dimensions of the monitoring area within a preset time period based on the weather data of different dimensions, and determines whether there is a historical reference time period in the monitoring area based on the weather data of different dimensions. If and only if there is a historical reference time period in the monitoring area, enter step S22. If there is no historical reference time period, the preset sampling ratio is used to determine the sampling ratio of the interferometric radar data of the monitoring area.

[0093] Optionally, the above step S22 includes steps S221-S223, specifically:

[0094] S221 determines the historical reference period in which the terrain changes based on the terrain change data of the high slope in the monitoring area within the historical reference period, and uses it as the change period. When the number of change periods does not meet the requirement, the sampling ratio of the interferometric radar data of the monitoring area is determined based on the second sampling ratio. When the number of change periods meets the requirement, the process proceeds to step S222;

[0095] S222 calculates the number of change periods in the most recent divided period based on the time corresponding to different change periods. When the number of change periods in the most recent divided period does not meet the requirement, the sampling ratio of the interferometric radar data of the monitoring area is determined based on the second sampling ratio. When the number of change periods in the most recent divided period meets the requirement, the process proceeds to step S223.

[0096] S223 determines the terrain variation coefficients of different change periods based on the time corresponding to different change periods and the terrain variation data of the high slopes in the monitoring area. When there is a change period in which the terrain variation coefficient does not meet the requirements, the sampling ratio of the interferometric radar data of the monitoring area is determined based on the second sampling ratio. When there is no change period in which the terrain variation coefficient does not meet the requirements, proceed to step S23.

[0097] Example 2

[0098] Second, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned nuclear power plant InSAR surface deformation real-time monitoring and early warning method when running the computer program.

[0099] Optionally, the method for determining the terrain change risk of the area is:

[0100] The number of high slopes in the area is obtained. When the number of high slopes in the area is less than a preset number threshold:

[0101] Obtaining deviations between the distribution positions of different high slopes in the area and the distribution positions of different types of nuclear power equipment, and when the deviations between the distribution positions of different high slopes and the distribution positions of different types of nuclear power equipment are not within a preset range, determining that the area does not belong to the monitoring area;

[0102] When there is a high slope with a deviation within the preset range:

[0103] Based on the distribution data of the high slopes in the area, the slope heights and areas of different high slopes are determined, and the slope heights and areas are used as input quantities. When the slope heights and areas of different high slopes are within a set range, it is determined that the area does not belong to the monitoring area;

[0104] When the number of high slopes in the area is not less than the preset number threshold or there are high slopes that are not within the set range:

[0105] Determine the influence factors of nuclear power equipment when different high slopes in the area are deformed based on the deviation, and use the height and area of ​​the slope as inputs to obtain preset deformation influence factors corresponding to different high slopes using a preset mapping model;

[0106] Based on the preset deformation influence factors of different high slopes and the influence factors of nuclear power equipment, when it is found that there is no risky high slope in the area, it is determined that the area does not belong to the monitoring area;

[0107] When there is a high risk slope:

[0108] The terrain change risk of the area is determined by using the number of high-risk slopes, preset deformation influence factors of different high-risk slopes and nuclear power equipment influence factors.

[0109] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0110] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0111] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A real-time monitoring and early warning method for nuclear power plant InSAR surface deformation, characterized in that: Specifically include: Determine the deviation between the distribution of high slopes in different areas around the nuclear power plant and the distribution of nuclear power equipment, and determine the terrain change risks and monitoring areas in different areas based on the distribution data of high slopes in different areas; Obtain weather data for different monitoring areas in the most recent preset period, and determine the sampling ratio of interferometric radar data for different monitoring areas based on weather data and terrain change risks; Based on the sampling ratio of the interferometric radar data in the monitoring area, sampling and analysis of the interferometric radar data in different monitoring areas are performed to obtain sample data, and the change risk area in the monitoring area is determined by using the change of the sample data at different positions in the monitoring area; Acquire interferometric radar data in the change risk area, and determine whether it is necessary to issue an early warning signal according to analysis results of the interferometric radar data in different change risk areas and the terrain change risk; The method for determining the terrain change risk of the area is: Obtaining the deviation between the distribution positions of different high slopes in the area and the distribution positions of different types of nuclear power equipment, and determining the nuclear power equipment influence factor when the different high slopes in the area are deformed based on the deviation; Based on the distribution data of the high slopes in the area, the slope heights and areas of different high slopes are determined, and the slope heights and areas are used as input quantities to obtain preset deformation influence factors corresponding to different high slopes using a preset mapping model; Based on preset deformation influence factors of different high slopes and nuclear power equipment influence factors, high-risk slopes in the area are obtained, and the terrain change risk of the area is determined by the number of the high-risk slopes.

2. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 1, characterized in that: The area is divided according to a target area of ​​the nuclear power plant within a preset distance range, and specifically the area is divided according to a preset area.

3. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 1, characterized in that: The distribution data of the high side slopes include the distribution positions of the high side slopes, and the slope heights and areas of different high side slopes.

4. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 1, characterized in that: The high-risk slopes in the area are determined based on the product of preset deformation influence factors of different high slopes and nuclear power equipment influence factors, wherein when the product is greater than a preset factor threshold, the high slope is determined to be a high-risk slope.

5. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 1, characterized in that: The monitoring area is an area where the risk of terrain change is greater than a preset risk coefficient.

6. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 1, characterized in that: The weather data includes precipitation data, snowfall data and light data.

7. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 1, characterized in that: The method for determining the sampling ratio of the interferometric radar data in the monitoring area is: Based on the weather data, determine the weather data of different dimensions of the monitoring area within a preset time period, and based on the weather data of different dimensions, determine the historical reference time period of the monitoring area; Based on the terrain change data of the high slope in the monitoring area during the historical reference period, determine the historical reference period in which the terrain change occurred, and use it as the change period; The regional change risk factor of the monitoring area is determined by the proportion of the change period in the historical reference period and the terrain change risk, and the sampling ratio of the interferometric radar data of the monitoring area is determined by the regional change risk factor.

8. The method for real-time monitoring and early warning of surface deformation of a nuclear power plant using InSAR as claimed in claim 7, characterized in that: The historical reference period is a historical period in which the deviation of weather data of different dimensions within the preset period is within a preset deviation range.

9. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the nuclear power plant InSAR surface deformation real-time monitoring and early warning method as described in any one of claims 1-8 when running the computer program.

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