InSAR surface deformation monitoring and analysis method and system for smart cities

Abstract

The present invention provides an InSAR surface deformation monitoring and analysis method and system for smart cities, which belongs to the field of measurement data technology, and specifically includes: determining a historical deformation area in a deformation risk sub-area through historical deformation data, and determining that the deformation risk of the deformation risk sub-area meets the requirements based on the analysis results of the historical deformation data of the historical deformation area, obtaining distribution data of different types of surface facilities in the deformation risk sub-area, and determining that the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements in combination with the overlap between different types of surface facilities and the historical deformation area, determining the deformation risk of the adjacent sub-area of ​​the deformation risk sub-area, and determining the monitoring and analysis strategy of the deformation risk sub-area in combination with the distribution safety status and deformation risk of the surface facilities in the deformation risk sub-area, thereby improving the efficiency and accuracy of monitoring data processing.

Description

Technical Field

[0001] The present invention belongs to the field of measurement data technology, and in particular relates to an InSAR surface deformation monitoring and analysis method and system for smart cities. Background Art

[0002] Interferometric radar refers to synthetic aperture radar (InSAR) that uses interferometric measurement technology. It is a recently developed space earth observation technology. Therefore, how to realize urban subsidence monitoring using interferometric radar has become a technical problem that needs to be solved urgently.

[0003] In view of the above technical problems, the existing technical solutions use the trained ground subsidence model to predict and analyze the subsequent subsidence of feature points, which can better evaluate the impact of building loads on ground subsidence and more accurately predict the ground subsidence trend. However, the above technical solutions have the following technical problems:

[0004] Due to the large area of ​​the city and the large differences in underground facilities in different urban areas, the probability of surface deformation in different urban areas varies greatly. Therefore, if the probability of surface deformation cannot be considered to determine differentiated monitoring and analysis strategies, the reliability of monitoring and analysis of surface deformation in risk areas cannot be guaranteed.

[0005] In response to the above technical problems, the present invention proposes an InSAR surface deformation monitoring and analysis method and system for smart cities. 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, an InSAR surface deformation monitoring and analysis method for smart cities is provided.

[0009] The InSAR surface deformation monitoring and analysis method for smart cities includes:

[0010] S1 divides the smart city into multiple sub-areas, and determines deformation risk sub-areas in the sub-areas based on the distribution data of underground facilities in different sub-areas;

[0011] S2 determines the historical deformation area in the deformation risk sub-area through the historical deformation data, and determines whether the deformation risk of the deformation risk sub-area meets the requirements based on the analysis results of the historical deformation data of the historical deformation area. If yes, proceed to the next step; if not, monitor and analyze the surface deformation of the deformation risk sub-area based on the preset deformation monitoring strategy;

[0012] S3: obtaining the distribution data of different types of surface facilities in the deformation risk sub-area, and combining the overlap between different types of surface facilities and the historical deformation area to determine that the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements, and then proceeding to the next step;

[0013] S4 determines the deformation risk of the adjacent sub-areas of the deformation risk sub-area, and determines the monitoring and analysis strategy of the deformation risk sub-area in combination with the distribution safety status and deformation risk of the surface facilities in the deformation risk sub-area.

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

[0015] By using the distribution data of underground facilities in different sub-areas, the deformation risk sub-areas in the sub-areas are determined, thereby realizing the determination of the deformation risk sub-areas from the perspective of the existence of underground facilities such as cable trenches and subways in the sub-areas, avoiding the technical problem of the efficiency of analysis and processing failing to meet the requirements due to the analysis and monitoring of deformation data of all sub-areas, and also realizing the screening of sub-areas with greater deformation risks.

[0016] Based on the deformation risk of the adjacent sub-areas of the deformation risk sub-area, the distribution safety status of surface facilities and deformation risk, the monitoring and analysis strategy of the deformation risk sub-area is determined, thereby realizing the determination of the monitoring and analysis strategy of the deformation risk sub-area from multiple angles such as the deformation risk of the adjacent sub-areas, the distribution safety status of surface facilities and deformation risk. By determining the differentiated monitoring and analysis strategy, the reliability of the monitoring and analysis of surface deformation in the sub-areas with higher risk in the deformation risk sub-area is ensured, and the efficiency of the monitoring and analysis of surface deformation data in the deformation risk sub-area is also guaranteed.

[0017] A further technical solution is to divide the smart city into multiple sub-areas, including:

[0018] The smart city is divided into multiple sub-areas according to unit area.

[0019] A further technical solution is that the distribution data of the underground facilities include the types of underground facilities, distribution areas and distribution depths of different types of underground facilities.

[0020] A further technical solution is that the adjacent sub-region of the deformation risk sub-region is a sub-region adjacent to the deformation risk sub-region.

[0021] A further technical solution is that the method for determining the monitoring and analysis strategy of the deformation risk sub-area is:

[0022] Determine an average value of deformation risks of adjacent sub-regions of the deformation risk sub-region based on deformation risks of adjacent sub-regions of the deformation risk sub-region, and determine an adjacent deformation risk of the deformation risk sub-region by using the average value of deformation risks of the adjacent sub-regions;

[0023] Determining a regional risk factor of the deformation risk sub-region based on the distribution safety status of the surface facilities in the deformation risk sub-region and the deformation risk;

[0024] The comprehensive risk factor of the deformation risk sub-region is determined by the adjacent deformation risk and the regional risk factor of the deformation risk sub-region, and the monitoring and analysis strategy of the deformation risk sub-region is determined based on the comprehensive risk factor.

[0025] A further technical solution is that the method for determining the regional risk factor of the deformation risk sub-region is:

[0026] The regional risk factor of the deformation risk sub-region is determined based on the distribution safety status of the surface facilities in the deformation risk sub-region and the average value of the deformation risk.

[0027] A further technical solution is that the comprehensive risk factor of the deformation risk sub-region is determined according to the weighted sum of the adjacent deformation risk and regional risk factors of the deformation risk sub-region.

[0028] 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 InSAR surface deformation monitoring and analysis method for smart cities when running the computer program.

[0029] 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.

[0030] 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

[0031] 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.

[0032] Figure 1 It is a flow chart of the InSAR surface deformation monitoring and analysis method for smart cities;

[0033] Figure 2 is a flow chart of a method for determining a deformation risk sub-region in a sub-region;

[0034] Figure 3 is a flow chart of a method for determining whether the distribution safety status of surface facilities in deformation risk sub-areas meets the requirements;

[0035] Figure 4 It is a flow chart of a method for determining a monitoring and analysis strategy for a deformation risk sub-area. DETAILED DESCRIPTION

[0036] 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.

[0037] 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.

[0038] Example 1

[0039] 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, an InSAR surface deformation monitoring and analysis method for smart cities is provided, which specifically includes:

[0040] S1 divides the smart city into multiple sub-areas, and determines deformation risk sub-areas in the sub-areas based on the distribution data of underground facilities in different sub-areas;

[0041] Furthermore, the smart city is divided into multiple sub-areas, including:

[0042] The smart city is divided into multiple sub-areas according to unit area.

[0043] It should be noted that the distribution data of the underground facilities include the types of underground facilities, the distribution areas and distribution depths of different types of underground facilities.

[0044] It is understandable that if Figure 2 As shown, the method for determining the deformation risk sub-region in the sub-region is:

[0045] determining the type of underground facilities in the sub-area based on the distribution data of the underground facilities in the sub-area;

[0046] Based on the type of the underground facilities, the distribution areas and distribution depths of different types of underground facilities are determined, and based on the distribution areas and distribution depths, the monitoring risk areas in the sub-areas are determined;

[0047] The area risk coefficient of the sub-region is determined by the area ratio of the monitored risk region, and whether the sub-region is a deformation risk sub-region is determined based on the area risk coefficient.

[0048] It should also be noted that determining the monitoring risk area in the sub-area based on the distribution area and the distribution depth specifically includes:

[0049] The area corresponding to the distribution area whose distribution depth is greater than the preset depth threshold is taken as the monitoring risk area.

[0050] It can be understood that determining whether the sub-region is a deformation risk sub-region based on the area risk coefficient specifically includes:

[0051] When the area risk coefficient of the sub-region is greater than a preset risk coefficient threshold, the sub-region is determined to be a deformation risk sub-region.

[0052] Optionally, the method for determining the deformation risk sub-region in the sub-region includes steps S11-S13, specifically:

[0053] S11, based on the distribution data of the underground facilities in the sub-area, determining the type of the underground facilities in the sub-area;

[0054] Optionally, before entering step S12, it is also necessary to determine based on the distribution data of the underground facilities in the sub-area that if there are no underground facilities in the sub-area, then it is determined that the sub-area does not belong to the deformation risk sub-area. When there are underground facilities in the sub-area, proceed to step S12.

[0055] S12: based on the type of the underground facility, performing distribution areas and distribution depths of different types of underground facilities, and determining monitoring risk areas in the sub-areas based on the distribution areas and distribution depths, and determining regional risk coefficients of different monitoring risk areas through the distribution areas and distribution depths in different monitoring risk areas;

[0056] Optionally, the above step S12 includes steps S121-S123, specifically:

[0057] S121, based on the type of the underground facilities, performing distribution areas and distribution depths of different types of underground facilities, using the distribution areas of different types of underground facilities in the sub-area as the total distribution area, when the total distribution area is less than a preset area threshold, proceeding to step S122, when the total distribution area is not less than the preset area threshold, proceeding to step S123;

[0058] S122: based on the distribution depths of different types of underground facilities, when it is determined that there are no underground facilities with a distribution depth greater than a preset depth threshold, it is determined that the sub-area does not belong to the deformation risk sub-area; when there are underground facilities with a distribution depth greater than the preset depth threshold, the process proceeds to step S123;

[0059] S123 determines the monitoring risk area in the sub-area based on the distribution area and the distribution depth. When the total area of ​​the monitoring risk area does not meet the requirements, it is determined that the sub-area belongs to the deformation risk sub-area. When the total area of ​​the monitoring risk area meets the requirements, the regional risk coefficients of different monitoring risk areas are determined by the distribution areas and distribution depths in different monitoring risk areas, and then proceeds to step S13.

[0060] S13 determines the area risk coefficient of the sub-region according to the area risk coefficients of different monitoring risk regions and the interval distances of the monitoring risk regions, and determines whether the sub-region is a deformation risk sub-region based on the area risk coefficient.

[0061] Optionally, the above step S13 includes steps S131-S133, specifically:

[0062] S131: When there is a monitoring risk area whose regional risk coefficient does not meet the requirements, it is determined that the sub-area belongs to the deformation risk sub-area; when there is no monitoring risk area whose regional risk coefficient does not meet the requirements, the process proceeds to step S132;

[0063] S132 determines the monitoring risk area whose interval distance is less than the preset interval distance by using the interval distances of different monitoring risk areas. When the monitoring risk area whose interval distance is less than the preset interval distance is used as the clustering risk area, when the total area of ​​the clustering risk area does not meet the requirement, it is determined that the sub-area belongs to the deformation risk sub-area. When the total area of ​​the clustering risk area meets the requirement, it proceeds to step S133;

[0064] S133 determines the area risk coefficient of the sub-region according to the area risk coefficients of different monitoring risk regions and the interval distances of the monitoring risk regions, and determines whether the sub-region is a deformation risk sub-region based on the area risk coefficient.

[0065] S2 determines the historical deformation area in the deformation risk sub-area through the historical deformation data, and determines whether the deformation risk of the deformation risk sub-area meets the requirements based on the analysis results of the historical deformation data of the historical deformation area. If yes, proceed to the next step; if not, monitor and analyze the surface deformation of the deformation risk sub-area based on the preset deformation monitoring strategy;

[0066] Furthermore, the historical deformation region is a region where deformation occurred during the historical process.

[0067] It should be noted that determining whether the deformation risk of the deformation risk sub-area meets the requirements specifically includes:

[0068] Determining a historical deformation amount of the historical deformation area based on an analysis result of the historical deformation data of the historical deformation area, and determining a deformation risk monitoring area in the historical deformation area through the historical deformation amount;

[0069] The deformation risk of the deformation risk sub-area is determined based on the total area ratio of the deformation risk monitoring area, and whether the deformation risk of the deformation risk sub-area meets the requirement is determined in combination with a preset risk threshold.

[0070] It can be understood that when the deformation risk of the deformation risk sub-region is less than the preset risk threshold, it is determined that the deformation risk of the deformation risk sub-region does not meet the requirement.

[0071] Optionally, determining whether the deformation risk of the deformation risk sub-area meets the requirement includes steps S21-S23, specifically:

[0072] S21: determining the number of historical deformations of different historical deformation areas based on the analysis result of the historical deformation data of the historical deformation area, and determining the deformation risk coefficients of different historical deformation areas in combination with the historical deformation quantities of different historical deformation numbers;

[0073] S22 determines weight coefficients of different historical deformation regions based on the areas of different historical deformation regions, and determines modified risk coefficients of different historical deformation regions through the weight coefficients of different historical deformation regions and deformation risk coefficients;

[0074] S23 determines the distribution clustering coefficient of the historical deformation area in the deformation risk sub-area based on the distribution position of the historical deformation area, determines the deformation risk of the deformation risk sub-area in combination with the corrected risk coefficients of different historical deformation areas, and determines whether the deformation risk of the deformation risk sub-area meets the requirements in combination with a preset risk threshold.

[0075] Further, the monitoring and analysis of the surface deformation of the deformation risk sub-area is determined based on the preset deformation monitoring strategy, specifically including:

[0076] The interferometric measurement data of the interferometric radar of all the surface areas in the deformation risk sub-area are used to monitor and analyze the surface deformation of the deformation risk sub-area.

[0077] S3: obtaining the distribution data of different types of surface facilities in the deformation risk sub-area, and combining the overlap between different types of surface facilities and the historical deformation area to determine that the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements, and then proceeding to the next step;

[0078] It can be understood that the distribution data of the surface facilities include the distribution locations of different types of surface facilities.

[0079] Specifically, Figure 3 As shown, determining whether the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements specifically includes:

[0080] Determine the total construction area of ​​the surface facilities in the deformation risk sub-area based on the distribution data of different types of surface facilities in the deformation risk sub-area, and determine the basic risk factor of the deformation risk sub-area according to the total construction area of ​​the surface facilities;

[0081] Determine the total construction area of ​​the surface facilities in the historical deformation area based on the overlap between different types of surface facilities and the historical deformation area, and determine the area ratio based on the ratio of the total construction area of ​​the surface facilities in the historical deformation area to the total construction area of ​​the surface facilities in the deformation risk sub-area;

[0082] The distribution safety status of the surface facilities in the deformation risk sub-area is determined by the area proportion and the basic risk factor, and whether the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements is determined based on the distribution safety status threshold.

[0083] Furthermore, when the distribution safety status of the surface facilities in the deformation risk sub-area does not meet the requirements, the interferometric measurement data of the interferometric radar of all surface areas in the deformation risk sub-area are used to monitor and analyze the surface deformation of the deformation risk sub-area.

[0084] It should also be noted that the basic risk factor of the deformation risk sub-area is determined according to the ratio of the total building area to a preset area limit value.

[0085] It can be understood that when the distribution safety status of the deformation risk sub-area is less than the distribution safety status threshold, it is determined that the distribution safety status of the surface facilities in the deformation risk sub-area does not meet the requirements.

[0086] Optionally, determining whether the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements includes steps S31-S33, specifically:

[0087] S31: determining the building areas of different types of surface facilities in the deformation risk sub-region based on the distribution data of different types of surface facilities in the deformation risk sub-region, and determining the distribution clustering coefficient of the surface facilities in the deformation risk sub-region in combination with the number of different types of surface facilities;

[0088] Optionally, step S31 includes steps S311-S313, specifically:

[0089] S311 determines the total construction area of ​​the surface facilities in the deformation risk sub-area based on the distribution data of different types of surface facilities in the deformation risk sub-area. When the total construction area of ​​the surface facilities in the deformation risk sub-area is greater than a preset facility area threshold, it is determined that the distribution safety state of the surface facilities in the deformation risk sub-area does not meet the requirements. When the total construction area of ​​the surface facilities in the deformation risk sub-area is not greater than the preset facility area threshold, the process proceeds to step S312.

[0090] S312: Determine the building areas of different types of surface facilities in the deformation risk sub-area based on the distribution data of different types of surface facilities in the deformation risk sub-area; when the number of surface facilities with a building area greater than a preset building area threshold is greater than the preset number of facilities, determine that the distribution safety status of the surface facilities in the deformation risk sub-area does not meet the requirements; when the number of surface facilities with a building area greater than the preset building area threshold is not greater than the preset number of facilities, proceed to step S313;

[0091] S313 determines the distribution clustering coefficient of the surface facilities in the deformation risk sub-area based on the building areas of different types of surface facilities in the deformation risk sub-area and the number of different types of surface facilities. When the distribution clustering coefficient of the surface facilities in the deformation risk sub-area is greater than a preset clustering coefficient threshold, it is determined that the distribution safety status of the surface facilities in the deformation risk sub-area does not meet the requirements. When the distribution clustering coefficient of the surface facilities in the deformation risk sub-area is not greater than the preset clustering coefficient threshold, proceed to step S32.

[0092] S32: determining the building area of ​​the surface facilities in the historical deformation area based on the overlap between different types of surface facilities and the historical deformation area, and determining the surface deformation risk coefficient of the surface facilities in the deformation risk sub-area based on the number of surface facilities in the historical deformation area;

[0093] Optionally, the above step S32 includes steps S321-S322, which are specifically:

[0094] S321 determines the total construction area of ​​the surface facilities in the historical deformation area based on the overlap between different types of surface facilities and the historical deformation area. When the total construction area of ​​the surface facilities in the historical deformation area does not meet the requirements, it is determined that the distribution safety state of the surface facilities in the deformation risk sub-area does not meet the requirements. When the total construction area of ​​the surface facilities in the historical deformation area meets the requirements, the process proceeds to step S322.

[0095] S322 determines the surface deformation risk coefficient of the surface facilities in the deformation risk sub-area based on the building area and the number of surface facilities in the historical deformation area. When the surface deformation risk coefficient of the surface facilities in the deformation risk sub-area does not meet the requirements, it is determined that the distribution safety status of the surface facilities in the deformation risk sub-area does not meet the requirements. When the surface deformation risk coefficient of the surface facilities in the deformation risk sub-area meets the requirements, proceed to step S33.

[0096] S33 determines the distribution safety status of the surface facilities in the deformation risk sub-area through the distribution clustering coefficient of the surface facilities and the surface deformation risk coefficient, and determines whether the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements based on the distribution safety status threshold.

[0097] S4 determines the deformation risk of the adjacent sub-areas of the deformation risk sub-area, and determines the monitoring and analysis strategy of the deformation risk sub-area in combination with the distribution safety status and deformation risk of the surface facilities in the deformation risk sub-area.

[0098] It should be noted that the adjacent sub-region of the deformation risk sub-region is a sub-region adjacent to the deformation risk sub-region.

[0099] Specifically, Figure 4 As shown, the method for determining the monitoring and analysis strategy of the deformation risk sub-area is:

[0100] Determine an average value of deformation risks of adjacent sub-regions of the deformation risk sub-region based on deformation risks of adjacent sub-regions of the deformation risk sub-region, and determine an adjacent deformation risk of the deformation risk sub-region by using the average value of deformation risks of the adjacent sub-regions;

[0101] Determining a regional risk factor of the deformation risk sub-region based on the distribution safety status of the surface facilities in the deformation risk sub-region and the deformation risk;

[0102] The comprehensive risk factor of the deformation risk sub-region is determined by the adjacent deformation risk and the regional risk factor of the deformation risk sub-region, and the monitoring and analysis strategy of the deformation risk sub-region is determined based on the comprehensive risk factor.

[0103] Furthermore, the method for determining the regional risk factor of the deformation risk sub-region is:

[0104] The regional risk factor of the deformation risk sub-region is determined based on the distribution safety status of the surface facilities in the deformation risk sub-region and the average value of the deformation risk.

[0105] It can be understood that the comprehensive risk factor of the deformation risk sub-region is determined according to the weighted sum of the adjacent deformation risk and the regional risk factor of the deformation risk sub-region.

[0106] Specifically, determining the monitoring and analysis strategy of the deformation risk sub-area based on the comprehensive risk factor specifically includes:

[0107] Based on the comprehensive risk factor, determining the risk interval in which the comprehensive risk factor of the deformation risk sub-region lies;

[0108] A monitoring and analysis strategy for the deformation risk sub-area is determined based on the risk interval.

[0109] It can be understood that the monitoring and analysis strategy of the deformation risk sub-area includes monitoring and analyzing the surface deformation of the deformation risk sub-area based on the interferometric radar interferometric measurement data of all surface areas in the deformation risk sub-area; and monitoring and analyzing the surface deformation of the deformation risk sub-area based on the interferometric radar interferometric measurement data of historical deformation areas in the deformation sub-area.

[0110] Example 2

[0111] 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 InSAR surface deformation monitoring and analysis method for smart cities when running the computer program.

[0112] Optionally, the above step S21 includes steps S211-S213, which are specifically:

[0113] S211 determines the historical deformation times of different historical deformation areas based on the analysis results of the historical deformation data of the historical deformation area. When the total area of ​​the historical deformation area whose historical deformation times is greater than the preset deformation times does not meet the requirements, it is determined that the deformation risk of the deformation risk sub-area does not meet the requirements. When the total area of ​​the historical deformation area whose historical deformation times is greater than the preset deformation times meets the requirements, the process proceeds to step S212.

[0114] S212 determines the historical deformation areas whose deformation variables are greater than a preset deformation variable threshold value based on the deformation variables of different historical deformation areas at different historical deformation times. When the total area of ​​the historical deformation areas whose deformation variables are greater than the preset deformation variable threshold value does not meet the requirement, it is determined that the deformation risk of the deformation risk sub-area does not meet the requirement. When the total area of ​​the historical deformation areas whose deformation variables are greater than the preset deformation variable threshold value meets the requirement, the process proceeds to step S213.

[0115] S213 determines the deformation risk coefficients of different historical deformation areas based on the number of historical deformations of different historical deformation areas and the historical deformation quantities of different historical deformation numbers. When there is a historical deformation area whose deformation risk coefficient does not meet the requirements, it is determined that the deformation risk of the deformation risk sub-area does not meet the requirements. When there is no historical deformation area whose deformation risk coefficient does not meet the requirements, proceed to step S22.

[0116] Optionally, before entering step S23, it is also necessary to determine whether there is a historical deformation area where the modified risk coefficient does not meet the requirements. When there is a historical deformation area where the modified risk coefficient does not meet the requirements, it is determined that the deformation risk of the deformation risk sub-area does not meet the requirements. When there is no historical deformation area where the modified risk coefficient does not meet the requirements, proceed to step S23.

[0117] Optionally, the above step S23 includes steps S231-S233, specifically:

[0118] S231 determines the distribution clustering coefficient of the historical deformation area in the deformation risk sub-area based on the distribution position of the historical deformation area. When the distribution clustering coefficient of the historical deformation area does not meet the requirement, proceed to step S232. When the distribution clustering coefficient of the historical deformation area meets the requirement, proceed to step S233.

[0119] S232: when the total area of ​​the historical deformation area in the deformation risk sub-area is greater than the preset area threshold, it is determined that the deformation risk of the deformation risk sub-area does not meet the requirement; when the total area of ​​the historical deformation area in the deformation risk sub-area is not greater than the preset area threshold, the process proceeds to step S233;

[0120] S233 determines the deformation risk of the deformation risk sub-region based on the distribution clustering coefficient of the historical deformation region in the deformation risk sub-region and the modified risk coefficients of different historical deformation regions, and determines whether the deformation risk of the deformation risk sub-region meets the requirements in combination with a preset risk threshold.

[0121] 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.

[0122] 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.

[0123] 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. The InSAR surface deformation monitoring and analysis method for smart cities is characterized by: Specifically include: Divide the smart city into a plurality of sub-areas, and determine deformation risk sub-areas in the sub-areas based on distribution data of underground facilities in different sub-areas; Determine the historical deformation area in the deformation risk sub-area through the historical deformation data, and determine whether the deformation risk of the deformation risk sub-area meets the requirements based on the analysis results of the historical deformation data of the historical deformation area. If yes, proceed to the next step; if not, monitor and analyze the surface deformation of the deformation risk sub-area based on the preset deformation monitoring strategy; Obtaining distribution data of different types of surface facilities in the deformation risk sub-area, and combining the overlap between different types of surface facilities and historical deformation areas, determining that the distribution safety status of the surface facilities in the deformation risk sub-area meets the requirements, and then proceeding to the next step; The deformation risk of the adjacent sub-area of ​​the deformation risk sub-area is determined, and the monitoring and analysis strategy of the deformation risk sub-area is determined in combination with the distribution safety status and deformation risk of the surface facilities in the deformation risk sub-area.

2. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 1, characterized in that: Divide the smart city into multiple sub-areas, including: The smart city is divided into multiple sub-areas according to unit area.

3. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 1, characterized in that: The underground facility distribution data includes the types of underground facilities, distribution areas and distribution depths of different types of underground facilities.

4. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 1, characterized in that: The method for determining the deformation risk sub-area in the sub-area is: determining the type of underground facilities in the sub-area based on the distribution data of the underground facilities in the sub-area; Based on the type of the underground facilities, determine the distribution area and distribution depth of different types of underground facilities, and determine the monitoring risk area in the sub-area based on the distribution area and distribution depth; The area risk coefficient of the sub-region is determined by the area ratio of the monitored risk region, and whether the sub-region is a deformation risk sub-region is determined based on the area risk coefficient.

5. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 4, characterized in that: Determining the monitoring risk area in the sub-area based on the distribution area and the distribution depth specifically includes: The area corresponding to the distribution area whose distribution depth is greater than the preset depth threshold is taken as the monitoring risk area.

6. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 4, characterized in that: Determining whether the sub-region is a deformation risk sub-region based on the area risk coefficient specifically includes: When the area risk coefficient of the sub-region is greater than a preset risk coefficient threshold, the sub-region is determined to be a deformation risk sub-region.

7. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 1, characterized in that: The historical deformation region is a region where deformation occurs during the historical process.

8. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 1, characterized in that: The method for determining the monitoring and analysis strategy of the deformation risk sub-area is: Determine an average value of deformation risks of adjacent sub-regions of the deformation risk sub-region based on deformation risks of adjacent sub-regions of the deformation risk sub-region, and determine an adjacent deformation risk of the deformation risk sub-region by using the average value of deformation risks of the adjacent sub-regions; Determining a regional risk factor of the deformation risk sub-region based on the distribution safety status of the surface facilities in the deformation risk sub-region and the deformation risk; The comprehensive risk factor of the deformation risk sub-region is determined by the adjacent deformation risk and the regional risk factor of the deformation risk sub-region, and the monitoring and analysis strategy of the deformation risk sub-region is determined based on the comprehensive risk factor.

9. The InSAR surface deformation monitoring and analysis method for smart cities according to claim 8, characterized in that: The monitoring and analysis strategy for the deformation risk sub-area includes monitoring and analyzing the surface deformation of the deformation risk sub-area based on the interferometric radar interferometric measurement data of all surface areas in the deformation risk sub-area; and monitoring and analyzing the surface deformation of the deformation risk sub-area based on the interferometric radar interferometric measurement data of historical deformation areas in the deformation risk sub-area.

10. Computer systems, including: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the InSAR surface deformation monitoring and analysis method for smart cities according to any one of claims 1 to 9 is executed when the processor runs the computer program.

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