A pipeline safety protection method and system based on grid desensitization processing

Abstract

The present invention discloses a pipeline safety protection method and system based on grid-based desensitization processing, which belongs to the field of data processing technology. The method comprises: collecting pipeline data from different sources; gridding the pipeline data from each source, converting it into a grid on a map, desensitizing the map grid, and generating a desensitized pipeline layer; regularly inputting each map grid in the desensitized pipeline layer into a pipeline analysis model, outputting the pipeline analysis results, and determining pipeline safety based on the pipeline analysis results. The present invention uses big data processing technology to regularly conduct comprehensive analysis and judgment on the operation status, management status, existing problems, development trends, etc. of the underground pipeline network, and form a comprehensive analysis report to provide guidance and reference for improving work.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a pipeline safety protection method and system based on grid desensitization processing. Background Art

[0002] At present, there is still a certain gap between the underground pipeline operation and management level in various cities and the requirements of urban construction and development in the new era. The management foundation is still relatively weak, the management method is still relatively extensive, the system and mechanism are not sound enough, and comprehensive coordination needs to be strengthened. It is urgent to build a comprehensive information platform for underground pipeline operation with the participation of government, enterprises and society, enhance the government's big data decision-making support capabilities, and vividly, intuitively and systematically reflect the operation and management situation of the city's underground pipelines. With functions such as public disclosure, interactive sharing, supervision and evaluation, analysis and prediction, it will monitor the operation and management situation in real time and provide comprehensive coordination services, guide and drive all levels, industries and relevant units to improve the management mechanism, complete the management chain, improve the management quality and efficiency, and gradually form a comprehensive management capability and model for urban underground pipeline operation.

[0003] The systems currently in use are mainly divided into four categories, namely "underground pipeline safety protection information communication system for excavation projects", "underground pipeline safety protection information interaction system for rail transit construction", "underground pipeline basic information and management situation statistics system" and "underground pipeline five-year plan project library system". The existing system has achieved good information management of business data and played a certain auxiliary role in the comprehensive coordination and management of underground pipelines.

[0004] With the development of information technologies such as cloud computing, big data, blockchain, the Internet of Things, and the Internet, the current system operation and use cannot be interactive, and the decision-making support function is weak. In particular, the existing underground pipeline safety protection information communication system only has functions such as project release and message reply. Its functional architecture with business data tabular management as the core can no longer meet the functional requirements of building an underground pipeline safety protection mechanism jointly managed by the government, enterprises, and society. Summary of the invention

[0005] The present invention provides a pipeline safety protection method based on grid desensitization processing, comprising:

[0006] Collect pipeline data from different sources;

[0007] Grid the pipeline data from various sources and convert them into grids on the map. Desensitize the map grids to generate desensitized pipeline layers.

[0008] The map grids in the desensitized pipeline layer are regularly input into the pipeline analysis model, the pipeline analysis results are output, and the pipeline safety is determined based on the pipeline analysis results.

[0009] As described above, a pipeline safety protection method based on grid desensitization processing is described, wherein pipeline data from different sources include underground pipeline status information, historical data, operation management status, hidden danger investigation and control, accident failures, as well as meteorological, seasonal, geological, and construction information.

[0010] The pipeline safety protection method based on grid desensitization processing as described above, wherein the pipeline data is subjected to grid desensitization processing, specifically comprising the following sub-steps:

[0011] Both pipeline data and maps are gridded;

[0012] Convert pipeline data grid to map grid;

[0013] Interpolate and encrypt the converted map grid to obtain a closed space map grid;

[0014] The closed space map grid and the complete map grid set are merged to obtain the pipeline layer, and the pipeline layer is desensitized.

[0015] As described above, a pipeline safety protection method based on grid desensitization processing is described, wherein the map is divided into small grids of the same size in units of grid elements according to a preset size, the geographic coordinates are pixelated, and the pipeline data is subdivided into multiple segments of surface elements according to a preset accuracy; the vertex coordinates of each segment of the surface element are converted into the corresponding grid on the map.

[0016] As described above, a pipeline safety protection method based on grid desensitization processing is described, wherein the desensitized pipeline layer is loaded on the map and displayed in the form of a map grid.

[0017] The present invention also provides a pipeline safety protection system based on grid desensitization processing, comprising:

[0018] Pipeline data collection module, used to collect pipeline data from different sources;

[0019] The grid desensitization processing module is used to grid the pipeline data from various sources, convert them into grids on the map, desensitize the map grids, and generate desensitized pipeline layers;

[0020] The pipeline analysis module is used to regularly input each map grid in the desensitized pipeline layer into the pipeline analysis model, output the pipeline analysis results, and determine the pipeline safety based on the pipeline analysis results.

[0021] As described above, a pipeline safety protection system based on grid-based desensitization processing is described, in which pipeline data from different sources include underground pipeline status information, historical data, operation management status, hidden danger investigation and control, accident failures, as well as meteorological, seasonal, geological, and construction information.

[0022] As described above, a pipeline safety protection system based on grid desensitization processing, wherein the pipeline data is subjected to grid desensitization processing, specifically comprises the following sub-steps:

[0023] Both pipeline data and maps are gridded;

[0024] Convert pipeline data grid to map grid;

[0025] Interpolate and encrypt the converted map grid to obtain a closed space map grid;

[0026] The closed space map grid and the complete map grid set are merged to obtain the pipeline layer, and the pipeline layer is desensitized.

[0027] As described above, a pipeline safety protection system based on grid desensitization processing is described, wherein the map is divided into small grids of the same size in units of grid elements according to a preset size, the geographic coordinates are pixelated, and the pipeline data is subdivided into multiple segments of surface elements according to a preset accuracy; the vertex coordinates of each segment of the surface element are converted into the corresponding grid on the map.

[0028] As described above, a pipeline safety protection system based on grid desensitization processing is described, wherein the desensitized pipeline layer is loaded on a map and displayed in the form of a map grid.

[0029] The beneficial effects achieved by the present invention are as follows: The present invention uses big data processing technology to regularly conduct comprehensive analysis and assessment of the operating status, management status, existing problems, development trends, etc. of the underground pipeline network, form a comprehensive analysis report, and provide guidance and reference for improving work. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0031] Figure 1 It is a flow chart of a pipeline safety protection method based on grid desensitization processing provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0032] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0033] Embodiment 1

[0034] like Figure 1 As shown, the first embodiment of the present invention provides a pipeline safety protection method based on grid desensitization processing, including:

[0035] Step 110, collecting pipeline data from different sources;

[0036] In the embodiment of the present application, the construction unit, construction unit, supervision unit, pipeline ownership unit, territorial unit and other relevant parties are guided to upload the distribution data of underground pipelines before, during and after construction through mobile clients or other handheld terminals, and relevant work on protecting underground pipelines before, during and after construction is done and recorded throughout the process. After the construction is completed, all levels and departments maintain the pipeline conditions and upload the regularly collected data to the management system.

[0037] Pipeline data from different sources include underground pipeline status information, historical data, operation and management status, hidden danger investigation and control, accident and failure, as well as meteorological, seasonal, geological, construction and other information. These data can affect the later safety maintenance of the pipeline. This application uses big data processing technology to regularly conduct comprehensive analysis and assessment of the operation status, management status, existing problems, development trends, etc. of the underground pipeline network to form a comprehensive analysis report to provide guidance and reference for improving work.

[0038] Step 120, gridding the pipeline data from each source, converting it into a grid on the map, desensitizing the map grid, and generating a desensitized pipeline layer;

[0039] Specifically, the pipeline data is subjected to grid desensitization processing, which includes the following sub-steps:

[0040] Step 121, gridding the pipeline data and the map;

[0041] Specifically, the map is divided into small grids of the same size with grid elements as units according to a preset size, the geographic coordinates are pixelated, and the pipeline data is subdivided into multiple segment surface elements according to a preset accuracy.

[0042] Step 122, converting the pipeline data grid into a map grid;

[0043] Convert the vertex coordinates of each segment of the surface feature into the corresponding grid on the map.

[0044] Step 123, interpolating and encrypting the converted map grid to obtain a closed space map grid;

[0045] Each edge of the surface feature on the map is interpolated and encrypted to ensure that all the edges of the surface feature will eventually form a closed space composed of a finite number of map grids.

[0046] Step 124, merging the closed space map grid and the complete map grid set to obtain a pipeline layer, and performing desensitization processing on the pipeline layer;

[0047] The map grid in the closed space and the complete map grid contained in the space are taken as a set, and the map grid set of each segment of the surface element in the pipeline data is merged together to obtain the pipeline layer, and the pipeline layer is desensitized;

[0048] After the pipeline data and the first-level map (such as the county-level map) are gridded, the pipeline data can be mapped to the first-level map grid. Then, the first-level map grid is gridded with the second map (such as the city-level map), and the pipeline data can be mapped to the second-level map grid. And so on, for example, it is gridded with the provincial map, etc., until the pipeline data is gridded with the final complete map (national map), and mapped to the complete map grid to obtain the pipeline layer data of each level. Each level of pipeline layer data is desensitized, and each level of pipeline layer data can only be viewed by the unit to which it belongs to ensure the security of pipeline data.

[0049] For example, the system account management provides services for government units, pipeline units and construction units, and supports the management, addition, deletion, modification and query of personnel, and the basic information of management departments. When a government unit personnel logs in, they can view the pipeline units, government units and personnel of their own department and sub-departments, and view the organizational structure of their own departments. When a pipeline unit personnel logs in, they can view the pipeline units and sub-department pipeline units and personnel of the same department, and view the organizational structure of their own departments. When a construction unit personnel logs in, they can only view the basic information of their own unit, the construction units and sub-department construction units and personnel of the same department, and view the organizational structure of their own departments. Through the present invention, the basic information data of underground pipelines is grid-desensitized, and the contact information of various underground pipeline management service agencies at all levels and major underground pipeline ownership units is centrally disclosed under the premise of ensuring data security. The relevant laws, regulations, standards, specifications and document regulations of underground pipelines are centrally announced, and query services such as underground pipeline operation management data are provided to internal users, and query services such as types, quantities, ownership and other general information and management information of underground pipelines within a local area of ​​municipal public areas are provided to social users. Ensure that, on the basis of complying with confidentiality requirements, the government, enterprises, society and other relevant parties can fully share underground pipeline information and fully participate in underground pipeline construction and management activities, ensuring the safe operation of urban underground pipelines at a higher level and higher quality.

[0050] The management system divides the pipeline layer data A into multiple pipeline layer segments (A1, A2, ..., A i , …, A n ), where A1 is the first pipeline layer fragment of data A, A2 is the second pipeline layer fragment of data A, and Ai is the i-th pipeline layer fragment of data A, A n For the nth pipeline layer fragment of data A, for each pipeline layer fragment (A1, A2, ..., A i , …, A n ) are all desensitized to obtain the ciphertext data A'.

[0051] Specifically, each pipeline layer segment (A1, A2, ..., A i , …, A n ) were desensitized according to the formula Calculate the desensitized ciphertext data of each pipeline layer segment, where ψ i is the desensitized ciphertext data of the i-th pipeline layer segment, that is, the desensitized ciphertext data of the pipeline layer data A as a whole is Ψ={Ψ1,Ψ2,…,Ψ i ,…,Ψ n}, if the current viewing user meets the management requirements, the pipeline layer data A is displayed to him, if the current viewing user does not meet the management requirements, the ciphertext data Ψ is displayed to him. i Decomposed into m pixels again, XS j Indicates the pixel value of the jth pixel, YS j represents the preset deformation value set for the j-th pixel, is the linear adjustment factor, S i is the area of ​​the i-th pipeline layer fragment, and S is the area of ​​the entire pipeline layer.

[0052] Step 125: Load the desensitized pipeline layer on the map and display it in the form of a map grid.

[0053] The pipeline overview includes the following contents: after gridding and desensitizing various pipeline data, the map is visualized, and the distribution of pipeline directions and other conditions are displayed at a small scale. The pipeline distribution map cannot be directly seen at a large scale, but the distribution of underground pipelines and manhole covers in a certain area can be queried by drawing a frame with the mouse, selecting a range, etc. The basic situation of pipeline facilities in the jurisdiction, the distribution of zoning, the number of IoT devices and their online status are intuitively presented to regulators, and the query of various pipelines, the number of pipelines, and the query of authority units are supported.

[0054] Return to see Figure 1 , step 130, regularly input each map grid in the desensitized pipeline layer into the pipeline analysis model, output the pipeline analysis results, and determine the pipeline safety based on the pipeline analysis results.

[0055] The present invention regularly conducts comprehensive analysis and assessment of the operation status, management status, existing problems, development trends, etc. of the underground pipeline network, forms a comprehensive analysis report, and provides guidance and reference for improving work.

[0056] Specifically, each map grid in the desensitized pipeline layer is regularly input into the pipeline analysis model to calculate the pipeline analysis results; the pipeline analysis model is Where Q is the pipeline analysis result. If the pipeline analysis result deviates greatly from the preset value, it is considered that the pipeline may be abnormal; Ytz x is the original pipeline characteristic value, Xtz x is the newly input pipeline characteristic value, μ x is the original pipeline characteristic value Ytz x The adjustment parameter can be preset or set according to the specific situation; Δtz is the change between the new pipeline characteristic value and the original pipeline characteristic value, α and β are Xtz respectively x and the weighting factor of Δtz, e is a natural constant.

[0057] Embodiment 2

[0058] Embodiment 2 of the present invention provides a pipeline safety protection system based on grid desensitization processing, including:

[0059] Pipeline data collection module, used to collect pipeline data from different sources;

[0060] In the embodiment of the present application, the construction unit, construction unit, supervision unit, pipeline ownership unit, territorial unit and other relevant parties are guided to upload the distribution data of underground pipelines before, during and after construction through mobile clients or other handheld terminals, and relevant work on protecting underground pipelines before, during and after construction is done and recorded throughout the process. After the construction is completed, all levels and departments maintain the pipeline conditions and upload the regularly collected data to the management system.

[0061] Pipeline data from different sources include underground pipeline status information, historical data, operation and management status, hidden danger investigation and control, accident and failure, as well as meteorological, seasonal, geological, construction and other information. These data can affect the later safety maintenance of the pipeline. This application uses big data processing technology to regularly conduct comprehensive analysis and assessment of the operation status, management status, existing problems, development trends, etc. of the underground pipeline network to form a comprehensive analysis report to provide guidance and reference for improving work.

[0062] The grid desensitization processing module is used to grid the pipeline data from various sources, convert them into grids on the map, desensitize the map grids, and generate desensitized pipeline layers;

[0063] Specifically, the pipeline data is subjected to grid desensitization processing, which includes the following sub-steps:

[0064] Step 121, gridding the pipeline data and the map;

[0065] Specifically, the map is divided into small grids of the same size with grid elements as units according to a preset size, the geographic coordinates are pixelated, and the pipeline data is subdivided into multiple segment surface elements according to a preset accuracy.

[0066] Step 122, converting the pipeline data grid into a map grid;

[0067] Convert the vertex coordinates of each segment of the surface feature into the corresponding grid on the map.

[0068] Step 123, interpolating and encrypting the converted map grid to obtain a closed space map grid;

[0069] Each edge of the surface feature on the map is interpolated and encrypted to ensure that all the edges of the surface feature will eventually form a closed space composed of a finite number of map grids.

[0070] Step 124, merging the closed space map grid and the complete map grid set to obtain a pipeline layer, and performing desensitization processing on the pipeline layer;

[0071] The map grid in the closed space and the complete map grid contained in the space are taken as a set, and the map grid set of each segment of the surface element in the pipeline data is merged together to obtain the pipeline layer, and the pipeline layer is desensitized;

[0072] After the pipeline data and the first-level map (such as the county-level map) are gridded, the pipeline data can be mapped to the first-level map grid. Then, the first-level map grid is gridded with the second map (such as the city-level map), and the pipeline data can be mapped to the second-level map grid. And so on, for example, it is gridded with the provincial map, etc., until the pipeline data is gridded with the final complete map (national map), and mapped to the complete map grid to obtain the pipeline layer data of each level. Each level of pipeline layer data is desensitized, and each level of pipeline layer data can only be viewed by the unit to which it belongs to ensure the security of pipeline data.

[0073] For example, the system account management provides services for government units, pipeline units and construction units, and supports the management, addition, deletion, modification and query of personnel, and the basic information of management departments. When a government unit personnel logs in, they can view the pipeline units, government units and personnel of their own department and sub-departments, and view the organizational structure of their own departments. When a pipeline unit personnel logs in, they can view the pipeline units and sub-department pipeline units and personnel of the same department, and view the organizational structure of their own departments. When a construction unit personnel logs in, they can only view the basic information of their own unit, the construction units and sub-department construction units and personnel of the same department, and view the organizational structure of their own departments. Through the present invention, the basic information data of underground pipelines is grid-desensitized, and the contact information of various underground pipeline management service agencies at all levels and major underground pipeline ownership units is centrally disclosed under the premise of ensuring data security. The relevant laws, regulations, standards, specifications and document regulations of underground pipelines are centrally announced, and query services such as underground pipeline operation management data are provided to internal users, and query services such as types, quantities, ownership and other general information and management information of underground pipelines within a local area of ​​municipal public areas are provided to social users. Ensure that, on the basis of complying with confidentiality requirements, the government, enterprises, society and other relevant parties can fully share underground pipeline information and fully participate in underground pipeline construction and management activities, ensuring the safe operation of urban underground pipelines at a higher level and higher quality.

[0074] The management system divides the pipeline layer data A into multiple pipeline layer segments (A1, A2, ..., A i , …, A n ), where A1 is the first pipeline layer fragment of data A, A2 is the second pipeline layer fragment of data A, and A i is the i-th pipeline layer fragment of data A, A n For the nth pipeline layer fragment of data A, for each pipeline layer fragment (A1, A2, ..., A i , …, A n ) are all desensitized to obtain the ciphertext data A'.

[0075] Specifically, each pipeline layer segment (A1, A2, ..., A i , …, A n ) were desensitized according to the formula Calculate the desensitized ciphertext data of each pipeline layer segment, where ψ i is the desensitized ciphertext data of the i-th pipeline layer segment, that is, the desensitized ciphertext data of the pipeline layer data A as a whole is ψ i ={ψ1,ψ2,…,ψ i ,…ψ n}, if the current viewing user meets the management requirements, then the pipeline layer data A is displayed to him, if the current viewing user does not meet the management requirements, then the desensitized ciphertext data S is displayed to him. Decompose a certain management layer fragment Ai into m pixels again, XS j Indicates the pixel value of the jth pixel, YS j represents the preset deformation value set for the j-th pixel, is the linear adjustment factor, S i is the allocated area of ​​the i-th pipeline layer fragment, and S is the area of ​​the entire management layer.

[0076] Step 125: Load the desensitized pipeline layer on the map and display it in the form of a map grid.

[0077] The pipeline overview includes the following contents: after gridding and desensitizing various pipeline data, the map is visualized, and the distribution of pipeline directions and other conditions are displayed at a small scale. The pipeline distribution map cannot be directly seen at a large scale, but the distribution of underground pipelines and manhole covers in a certain area can be queried by drawing a frame with the mouse, selecting a range, etc. The basic situation of pipeline facilities in the jurisdiction, the distribution of zoning, the number of IoT devices and their online status are intuitively presented to regulators, and the query of various pipelines, the number of pipelines, and the query of authority units are supported.

[0078] The pipeline analysis module is used to regularly input each map grid in the desensitized pipeline layer into the pipeline analysis model, output the pipeline analysis results, and determine the pipeline safety based on the pipeline analysis results.

[0079] The present invention regularly conducts comprehensive analysis and assessment of the operation status, management status, existing problems, development trends, etc. of the underground pipeline network, forms a comprehensive analysis report, and provides guidance and reference for improving work.

[0080] Specifically, each map grid in the desensitized pipeline layer is regularly input into the pipeline analysis model to calculate the pipeline analysis results; the pipeline analysis model is Where Q is the pipeline analysis result. If the pipeline analysis result deviates greatly from the preset value, it is considered that the pipeline may be abnormal; Ytz x is the original pipeline characteristic value, Xtz x is the newly input pipeline characteristic value, μ x is the original pipeline characteristic value Ytz x The adjustment parameter can be preset or set according to the specific situation; Δtz is the change between the new pipeline characteristic value and the original pipeline characteristic value, α and β are Xtz respectively x and the weighting factor of Δtz, e is a natural constant.

[0081] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solution of the present invention should be included in the scope of protection of the present invention.

Claims

1. A pipeline safety protection method based on grid desensitization processing, characterized in that: include: Collect pipeline data from different sources; Grid the pipeline data from various sources and convert them into grids on the map. Desensitize the map grids to generate desensitized pipeline layers. Grid desensitization is performed on pipeline data, which includes the following sub-steps: Both pipeline data and maps are gridded; Convert pipeline data grid to map grid; Interpolate and encrypt the converted map grid to obtain a closed space map grid; The closed space map grid and the complete map grid set are merged to obtain the pipeline layer, and the pipeline layer is desensitized; Load the desensitized pipeline layer on the map and display it in the form of a map grid; Specifically, the pipeline layer data A is divided into multiple pipeline layer segments (A1, A2, ..., A i , …, A n ), where A1 is the first pipeline layer fragment of data A, A2 is the second pipeline layer fragment of data A, and A i is the i-th pipeline layer fragment of data A, A n The nth pipeline layer fragment of data A; For each pipeline layer segment (A1, A2, ..., A i , …, A n ) were desensitized according to the formula Calculate the desensitized ciphertext data of each pipeline layer segment, where ψ i is the desensitized ciphertext data of the i-th pipeline layer segment. i Decomposed into m pixels again, XS j Indicates the pixel value of the jth pixel, YS j represents the preset deformation value set for the j-th pixel, is the linear adjustment factor, S i is the area of ​​the i-th pipeline layer segment, and S is the area of ​​the entire pipeline layer; The ciphertext data after desensitizing the pipeline layer data A as a whole is Ψ={Ψ1,Ψ2,…,Ψ i ,…,Ψ n }, if the current viewing user meets the management requirements, the pipeline layer data A is displayed to the user; if the current viewing user does not meet the management requirements, the ciphertext data Ψ is displayed to the user; The map grids in the desensitized pipeline layer are regularly input into the pipeline analysis model, the pipeline analysis results are output, and the pipeline safety is determined based on the pipeline analysis results.

2. A pipeline safety protection method based on grid desensitization processing as claimed in claim 1, characterized in that: Pipeline data from different sources include underground pipeline status information, historical data, operation and management status, hidden danger investigation and control, accident and failure, as well as meteorological, seasonal, geological and construction information.

3. A pipeline safety protection method based on grid desensitization processing as described in claim 1 or 2, characterized in that: The map is divided into small grids of the same size using grid elements as units according to preset sizes, the geographic coordinates are pixelated, and the pipeline data is subdivided into multiple segments of surface elements according to preset accuracy; the vertex coordinates of each segment of the surface element are converted into the corresponding grid on the map.

4. A pipeline safety protection system based on grid desensitization processing, characterized in that: include: Pipeline data collection module, used to collect pipeline data from different sources; The grid desensitization processing module is used to grid the pipeline data from various sources, convert them into grids on the map, desensitize the map grids, and generate desensitized pipeline layers; Grid desensitization is performed on pipeline data, which includes the following sub-steps: Both pipeline data and maps are gridded; Convert pipeline data grid to map grid; Interpolate and encrypt the converted map grid to obtain a closed space map grid; The closed space map grid and the complete map grid set are merged to obtain the pipeline layer, and the pipeline layer is desensitized; Load the desensitized pipeline layer on the map and display it in the form of a map grid; Specifically, the pipeline layer data A is divided into multiple pipeline layer segments (A1, A2, ..., A i , …, A n ), where A1 is the first pipeline layer fragment of data A, A2 is the second pipeline layer fragment of data A, and A i is the i-th pipeline layer fragment of data A, A n The nth pipeline layer fragment of data A; For each pipeline layer segment (A1, A2, ..., A i , …, A n ) were desensitized according to the formula Calculate the desensitized ciphertext data of each pipeline layer segment, where ψ i is the desensitized ciphertext data of the i-th pipeline layer segment. i Decomposed into m pixels again, XS j Indicates the pixel value of the jth pixel, YS j represents the preset deformation value set for the j-th pixel, is the linear adjustment factor, S i is the area of ​​the i-th pipeline layer segment, and S is the area of ​​the entire pipeline layer; The ciphertext data after desensitizing the pipeline layer data A as a whole is Ψ={Ψ1,Ψ2,…,Ψ i ,…,Ψ n }, if the current viewing user meets the management requirements, the pipeline layer data A is displayed to the user; if the current viewing user does not meet the management requirements, the ciphertext data Ψ is displayed to the user; The pipeline analysis module is used to regularly input each map grid in the desensitized pipeline layer into the pipeline analysis model, output the pipeline analysis results, and determine the pipeline safety based on the pipeline analysis results.

5. A pipeline safety protection system based on grid desensitization processing as claimed in claim 4, characterized in that: Pipeline data from different sources include underground pipeline status information, historical data, operation and management status, hidden danger investigation and control, accident and failure, as well as meteorological, seasonal, geological and construction information.

6. A pipeline safety protection system based on grid desensitization processing as described in claim 4 or 5, characterized in that: The map is divided into small grids of the same size using grid elements as units according to preset sizes, the geographic coordinates are pixelated, and the pipeline data is subdivided into multiple segments of surface elements according to preset accuracy; the vertex coordinates of each segment of the surface element are converted into the corresponding grid on the map.

Images