Full-cycle intelligent monitoring system for ecological restoration of abandoned mines

Abstract

The present application relates to big data resource service technical field, specifically to abandoned mine ecological restoration whole cycle wisdom supervision system, including the following modules: space business module, resource management module, supervision index module, graph attribute analysis module and early warning rectification module, space business module establishes project, partition, subproject, construction project, management area and the hierarchical object index of graph spot, resource management module binds fund condition, construction progress, quality supervision, performance target and space data to hierarchical object index, supervision index module generates index record, graph attribute analysis module generates spatial analysis record according to layer check or space frame selection, early warning rectification module generates early warning level and rectification state according to early warning rule.The present application links hierarchical object index, index record, spatial analysis record and rectification state, so that the supervision result forms closed loop data connection under the same business object.

Description

Technical Field

[0001] This invention relates to the field of big data resource service technology, and in particular to a smart monitoring system for the entire lifecycle of ecological restoration of abandoned mines. Background Technology

[0002] The field of big data resource service technology typically revolves around the access, cleaning, storage, indexing, computation, retrieval, and display of multi-source data resources. Data collection records, spatial locations, time series, business status, and documents are transmitted via network links through field terminals, sensors, databases, servers, and management terminals. Data service processes are formed based on field matching, time-series correlation, threshold comparison, and access permissions. Among these, the traditional intelligent monitoring system for the entire lifecycle of abandoned mine ecological restoration refers to a system that monitors, records, and manages the processes of abandoned mine investigation, plan preparation, construction and remediation, vegetation maintenance, and acceptance and handover. Input is typically provided by remote sensing imagery, drone photos, topographic survey data, soil and water quality test values, vegetation cover records, construction logs, and information uploaded by inspection terminals. This data is stored on servers in the mine area basic database, restoration project database, and monitoring ledger. The system compares, correlates, queries, and displays data according to mine boundaries, remediation stages, time nodes, indicator thresholds, and approval status, and returns progress records, anomaly markers, rectification items, and archived materials to the management terminal.

[0003] Traditional regulatory systems organize data based on mining area boundaries, governance stages, time nodes, indicator thresholds, and approval status. The granularity of association between remote sensing images, measurement data, inspection records, construction logs, inspection information, and archived materials is inconsistent when they flow between different ledgers. Spatial objects, project progress, funding status, quality supervision, and performance targets require repeated queries and comparisons. There is a lack of continuous data links between 3D models, video footage, rectification records, and business ledgers. The process of forming regulatory results involves manual matching, which affects the traceability of process status. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the aforementioned traditional technologies and provide a smart monitoring system for the entire lifecycle of ecological restoration of abandoned mines. This system enables the ecological restoration projects, mine restoration zones, ecological restoration sub-projects, mine restoration construction projects, abandoned mine remediation areas, abandoned mine landforms, funding status, construction progress, quality supervision, performance targets, 3D analysis results, and early warning and rectification records of abandoned mines to form data associations around the same level of objects. This reduces the manual matching and repeated comparison steps caused by the scattered flow of spatial data of abandoned mines, mine restoration business ledgers, and rectification records in the traditional monitoring process, and provides a consistent data organization foundation and closed-loop processing path for the whole-process monitoring of ecological restoration of abandoned mines.

[0005] The objective of this invention is achieved through the following technical measures: This invention provides a smart monitoring system for the entire lifecycle of ecological restoration of abandoned mines, including a spatial business module, a resource management module, a monitoring indicator module, a map and attribute analysis module, and an early warning and rectification module.

[0006] The spatial business module is used to establish a hierarchical object index between abandoned mine ecological restoration projects, mine restoration zones, ecological restoration sub-projects, mine restoration construction projects, abandoned mine governance areas, and abandoned mine map patches. This hierarchical object index provides a unified anchor point for all regulatory data across the system, and multiple modules interact with each other through the node identifiers of these hierarchical objects. The resource management module is used to bind data on funding status, construction progress, quality supervision, performance targets, documents, remote sensing images, oblique photography models, monitoring line sampling points, video recordings, and inspection records for abandoned mine ecological restoration to the hierarchical object index. The regulatory indicator module is used to generate indicator records for four categories of regulatory objects—funding, progress, quality, and performance—based on funding sources and budgets, contracts, and amounts received; planned progress and actual completed work; quality inspection records and rectification status; and performance targets and physical output indicators. The map analysis module, upon receiving layer selection or spatial selection commands, retrieves indicator records, data, and 3D model data based on the selected object's identifier. It then compares the monitoring lines, elevations, elevation differences, slopes, design elevations, and actual elevations within the abandoned mine remediation area to generate spatial analysis records, while simultaneously generating a boundary violation judgment result for the abandoned mine. The actual elevation is the current elevation. The early warning and rectification module compares the deviation rate between actual and planned progress, abnormal quality supervision status, performance target completion status, and abandoned mine boundary violation judgment results from the indicator records with early warning rules. When the comparison results meet the early warning trigger conditions, it generates early warning level, rectification items, review status, and monitoring interface data. Both early warning and rectification data are written back to the corresponding level object's node, forming a closed loop.

[0007] Furthermore, the spatial business module establishes ecological restoration project objects for abandoned mines based on the engineering identifiers in the application data for abandoned mine ecological restoration projects; establishes mine restoration zone objects based on the mine restoration zone boundaries in the exploration and design data; establishes ecological restoration sub-project objects and mine restoration construction project objects based on the names of ecological restoration sub-projects and mine restoration construction projects in the mine restoration construction management data; and establishes abandoned mine governance zone objects and abandoned mine map patch objects based on the boundaries of abandoned mine governance areas and abandoned mine map patch boundaries in the spatial data. When the parent identifier of any object matches the identifier of an existing object in the hierarchical object index, the spatial business module writes that object into the lower-level node of the corresponding parent object; when the parent identifier of any object does not match the identifier of an existing object in the hierarchical object index, the spatial business module writes that object into the list of objects to be verified and stops binding it with the regulatory data. Objects in the list of objects to be verified do not participate in subsequent indicator generation, map attribute analysis, and early warning judgment processes.

[0008] Furthermore, the resource management module reads the funding sources, budget amounts, contract amounts, and amounts received from the abandoned mine ecological restoration funding status data; the planned progress, actual completed work volume, and reporting time from the mine restoration construction progress data; the inspection objects, inspection conclusions, and rectification status from the mine restoration quality supervision data; and the target categories, physical output indicators, and completion status from the mine restoration performance target data. When the object identifier carried by the read data matches the node identifier in the hierarchical object index, the resource management module writes the read data into the data binding record of the corresponding node; when the read data lacks an object identifier or the object identifier is inconsistent, the resource management module writes the read data into the list of data to be matched.

[0009] Furthermore, the resource management module labels the data types of abandoned mine ecological restoration documents, remote sensing images, oblique photogrammetry models, monitoring line sampling points, video recordings, and inspection records, and extracts the corresponding mine spatial extent, collection time, and project stage. When the mine spatial extent intersects with the abandoned mine remediation area object or abandoned mine patch object in the hierarchical object index, and the collection time falls within the start and end time corresponding to the project stage, the resource management module writes the corresponding data into the data binding record; when the mine spatial extent or collection time does not meet the writing conditions, the resource management module writes the corresponding data into the unmatched data list.

[0010] Furthermore, the regulatory indicator module generates funding indicator records based on the source of funds, budget amount, contract amount, and amount received for ecological restoration of abandoned mines; progress indicator records based on the mine restoration plan progress, actual completed work volume, and reporting time; quality indicator records based on the mine restoration inspection targets, inspection conclusions, and rectification status; and performance indicator records based on the mine restoration target category, physical output indicators, and completion status. These funding, progress, quality, and performance indicator records are then written into the indicator record set corresponding to the same abandoned mine level object. The regulatory indicator module performs status verification on the indicator record set. When a progress indicator record with an updated reporting time exists under the same abandoned mine level object, the actual completed work volume is updated using the updated progress indicator record. When a quality indicator record with an unclosed rectification status exists under the same abandoned mine level object, the abnormal quality supervision status is written into the indicator record set. When the completion status in the performance indicator record is inconsistent with the physical output indicator, the performance target pending verification status is written into the indicator record set.

[0011] Furthermore, when the map attribute analysis module receives a layer selection instruction, it reads the ecological restoration sub-project object, mine restoration construction project object, abandoned mine remediation area object, or abandoned mine patch object corresponding to the selected layer; when it receives a spatial selection instruction, it determines the intersection relationship between the selection range and the boundary of the abandoned mine spatial object in the hierarchical object index. When the intersection relationship meets the preset overlap conditions, the map attribute analysis module selects the abandoned mine spatial object that meets the preset overlap conditions as the selected object, and calls the corresponding indicator records, document data, and 3D model data according to the selected object identifier.

[0012] Furthermore, the map analysis module extracts the elevation, elevation difference, slope, and coordinate parameters corresponding to the monitoring line of the abandoned mine remediation area from the 3D model data, and reads the design elevation and actual elevation associated with the monitoring line of the abandoned mine remediation area; when the difference between the actual elevation and the design elevation meets the conditions for generating a comparison record, a spatial analysis record is generated, and the boundary judgment result of the abandoned mine is generated at the same time; when the difference between the actual elevation and the design elevation does not meet the conditions for generating a comparison record, the monitoring line of the abandoned mine remediation area is marked as an object to be reviewed.

[0013] Furthermore, the early warning and rectification module reads indicator records and abandoned mine boundary crossing judgment results in the following order: mine restoration progress deviation judgment, quality status judgment, performance status judgment, and abandoned mine boundary crossing status judgment. When the deviation rate between actual progress and planned progress meets the progress early warning condition, or the abnormal status of quality supervision meets the quality early warning condition, or the performance target completion status meets the performance early warning condition, or the abandoned mine boundary crossing judgment result meets the boundary crossing early warning condition, the early warning and rectification module generates the corresponding early warning level; when any judgment result does not meet the corresponding early warning condition, the early warning and rectification module retains the corresponding no-early-warning status record.

[0014] Furthermore, the early warning and rectification module writes the early warning level, the corresponding abandoned mine level object identifier, the early warning source type, and the trigger time into the early warning record. When multiple early warnings are triggered simultaneously, independent early warning records are generated according to the early warning source type and associated with the same level object. When an early warning record is associated with the ecological restoration responsibility object of the abandoned mine, rectification items are generated and rectification materials are received. When the rectification materials match the material requirements of the rectification items, the review status is updated to pending review. When the rectification materials do not match the material requirements of the rectification items, the review status is updated to material correction status.

[0015] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: The spatial business module establishes a hierarchical object index, and the resource management module binds financial status data, construction progress data, quality supervision data, performance target data, and spatial data to the hierarchical object index, so that the project objects and regulatory data form a common source calling relationship. The regulatory indicator module generates indicator records according to funds, progress, quality, and performance. The map attribute analysis module calls the indicator records based on layer selection or spatial selection and generates spatial analysis records. The early warning and rectification module generates early warning levels, rectification items, and review status according to deviation, anomaly, completion status, and out-of-bounds results, so that the regulatory results and rectification process maintain traceable data connection. Attached Figure Description

[0016] Figure 1 This is a flowchart of the main processing flow of the full-cycle intelligent supervision of this invention.

[0017] Figure 2 A flowchart for establishing the spatial business hierarchy object index of this invention.

[0018] Figure 3 This is a data flow diagram for binding multi-source data resources in this invention.

[0019] Figure 4 This is a logic diagram for the generation and status verification of regulatory indicator records in this invention.

[0020] Figure 5 This is a diagram illustrating the closed-loop state transition of the analysis, early warning, and rectification of the present invention. Detailed Implementation

[0021] The technical solutions described in this invention are illustrated below with reference to embodiments. The spatial business module, resource management module, regulatory indicator module, map attribute analysis module, early warning and rectification module, hierarchical object index, data binding record, list of data to be matched, indicator record set, spatial analysis record, early warning record, rectification items, and review status mentioned in the protection scope text, invention content, and original disclosure materials have the same meaning in the following embodiments. The hierarchical object index is used to express the hierarchical relationship between projects, zones, sub-projects, construction projects, governance areas, and map patches. The data binding record is used to express the binding status between regulatory data and corresponding hierarchical objects. The indicator record set is used to express the record set formed under the same hierarchical object by four types of regulatory objects: funds, progress, quality, and performance. The original materials do not provide existing drawing numbers or existing illustrated content; subsequent drawings will be derived from... Figure 1 The initial setup is used to illustrate the processing flow, data transfer, logical judgment, and closed-loop state of this embodiment, without introducing new structural components or new data sources.

[0022] Please see Figures 1 to 5This embodiment provides a smart monitoring system for the entire lifecycle of ecological restoration of abandoned mines. In this embodiment, the smart monitoring system for the entire lifecycle of ecological restoration of abandoned mines is deployed in a collaborative operating environment of server and management terminal. The server side carries a spatial business module, a resource management module, a monitoring indicator module, a map attribute analysis module, and an early warning and rectification module. The management terminal is used to receive layer selection instructions, spatial frame selection instructions, query instructions, rectification data submission instructions, and monitoring interface data call instructions. The input received by the server side includes project application data, exploration and design data, construction management data, spatial data, funding status data, construction progress data, quality supervision data, performance target data, documents, remote sensing images, oblique photography models, monitoring line sampling points, video recordings, and inspection records. After the above data enters the system, it does not directly form a monitoring conclusion. Instead, the spatial business module first establishes a hierarchical object index, then the resource management module binds it according to object identifier, spatial range, collection time, and project stage, the monitoring indicator module forms a comparable set of indicator records, the map attribute analysis module generates spatial analysis records, and the early warning and rectification module forms early warning records, rectification items, and review status according to early warning rules.

[0023] The spatial business module first handles the hierarchical establishment of project objects. It reads the project identifier from the project application data, which is used to establish project objects; it reads the zoning boundaries from the survey and design data, which are used to establish zoning objects; it reads the sub-project names and construction project names from the construction management data, which are used to establish sub-project objects and construction project names; and it reads the governance area boundaries and map patch boundaries from the spatial data, which are used to establish governance area objects and map patch boundaries. After all objects are established, the spatial business module uses the project object as the parent node of the hierarchical object index, writes the zoning objects into the child nodes of the project objects, writes the sub-project objects into the child nodes of the corresponding zoning objects, writes the construction project objects into the child nodes of the corresponding sub-project objects, and writes the governance area objects and map patch objects under the corresponding construction project objects or the corresponding spatial range nodes. The above writing process uses object identifiers as the execution basis. When the parent identifier carried by any object matches the identifier of an existing object in the hierarchical object index, the spatial business module writes that object to the lower-level node of the corresponding parent object. When the parent identifier carried by any object does not match the identifier of an existing object in the hierarchical object index, the spatial business module writes that object to the list of objects to be verified and stops binding that object to the regulatory data. Objects in the list of objects to be verified do not participate in subsequent indicator generation, map attribute analysis, and early warning judgment processes. Objects in the list of objects to be verified do not enter subsequent indicator statistics, map attribute linkage, and early warning judgment processes. The management end can verify the correspondence between object identifiers, parent identifiers, and spatial boundaries through the list of objects to be verified. The hierarchical object index provides a unified anchor point for all regulatory data in the entire system. Multiple modules interact with each other through the node identifiers of hierarchical objects. Thus, the hierarchical object index forms object ownership boundaries before data binding, and subsequent modules can use the same hierarchical object as the data entry point when calling regulatory data.

[0024] After the hierarchical object index is formed, the resource management module performs multi-source data binding. The module reads the funding source, budget amount, contract amount, and amount received from the funding status data; the planned progress, actual completed work volume, and reporting time from the construction progress data; the inspection objects, inspection conclusions, and rectification status from the quality supervision data; and the target category, physical output indicators, and completion status from the performance target data. All of these fields are entered into the resource management module's read queue as structured fields. The module compares the object identifier carried in the read data with the node identifier in the hierarchical object index. When the object identifier matches the node identifier in the hierarchical object index, the module writes the read data into the data binding record of the corresponding node; when the read data lacks an object identifier or the object identifier is inconsistent, the module writes the read data into the unmatched data list. The unmatched data list retains at least the data source, missing fields, original reporting time, and reason for non-matching, serving as the basis for subsequent verification and supplementary entry by the management end.

[0025] The resource management module also marks document data, remote sensing imagery, oblique photogrammetry models, monitoring line sampling points, video recordings, and patrol records with data types. Data type marking distinguishes between document data, image data, 3D model data, monitoring point data, video data, and patrol data. The resource management module extracts the spatial range, acquisition time, and project stage corresponding to the data type marking. The spatial range is used for intersection determination with governance area objects or patch objects in the hierarchical object index; the acquisition time is used for temporal determination with the start and end times corresponding to the project stage; and the project stage is used to distinguish between project application, survey and design, construction, acceptance, and maintenance stages. When the spatial range intersects with a governance area object or patch object, and the acquisition time falls within the start and end time of the project stage, the resource management module writes the corresponding data into the data binding record. When the spatial range does not intersect or the acquisition time does not fall within the start and end time of the project stage, the resource management module writes the corresponding data into the unmatched data list. For video recordings, the resource management module retains the spatial location, timestamp, and acquisition source carried by the video recording, enabling the video recording to be associated with the corresponding governance area object or patch object in subsequent queries. For inspection records, the resource management module retains the inspection objects, inspection time, and inspection conclusions, enabling the inspection records to form a basis for subsequent verification with quality supervision data and rectification status.

[0026] The regulatory indicator module generates an indicator record set after the data binding records are formed. Using objects at the same level as the statistical caliber, the module extracts data on funding status, construction progress, quality supervision, and performance targets from the data binding records. For funding status data, the module generates funding indicator records based on funding source, budget amount, contract amount, and amount received. For construction progress data, it generates progress indicator records based on planned progress, actual completed work volume, and reporting time. For quality supervision data, it generates quality indicator records based on inspection object, inspection conclusion, and rectification status. For performance target data, it generates performance indicator records based on target category, physical output indicators, and completion status. Funding, progress, quality, and performance indicator records are written into the indicator record set corresponding to the same level object. The indicator record set retains the corresponding level object identifier, enabling the graph analysis module and the early warning and rectification module to access the status of the four types of regulatory objects (funding, progress, quality, and performance) based on the same object.

[0027] The regulatory indicator module further verifies the status of the indicator record set. When multiple reporting times exist for a progress indicator record, the module identifies the progress indicator record updated by the reporting time according to the chronological order of the reporting times and updates the actual completed work volume accordingly. When the rectification status in a quality indicator record is not closed, the module writes the quality supervision anomaly status into the indicator record set; when the rectification status is closed, the quality indicator record is retained as processed. When the completion status in a performance indicator record is inconsistent with the physical output indicator, the module writes the performance target pending verification status into the indicator record set; when the completion status is consistent with the physical output indicator, the module retains the corresponding performance status. During the above verification process, the funding indicator record, progress indicator record, quality indicator record, and performance indicator record are not rewritten to a single conclusion. Instead, they are stored as a set of indicator records, representing the parallel states of funding, progress, quality, and performance under the same level of objects, providing an intermediate state for map-based linkage, early warning generation, and rectification write-back.

[0028] The map attribute analysis module is used to link map operations with business records, documents, and 3D model data. When the management terminal issues a layer selection command, the map attribute analysis module reads the sub-project objects, construction project objects, remediation area objects, or patch objects corresponding to the selected layer. When the management terminal issues a spatial bounding command, the map attribute analysis module determines the intersection relationship between the bounding area and the spatial object boundaries in the hierarchical object index. The spatial object boundaries include the remediation area boundaries and patch boundaries. When the intersection relationship meets the preset overlap conditions, the map attribute analysis module selects the spatial objects that meet the preset overlap conditions as the selected objects and calls the corresponding indicator records, documents, and 3D model data based on the selected object identifier. When the intersection relationship does not meet the preset overlap conditions, the map attribute analysis module does not select any objects, and the management terminal returns a query status of no matching spatial objects. Thus, both layer selection commands and spatial bounding commands are connected to the hierarchical object index through the selected object identifier, preventing map objects and business ledgers from being separated from the same object entry point.

[0029] The mapping analysis module also performs spatial analysis on the 3D model data. It extracts the elevation, elevation difference, slope, and coordinate parameters corresponding to the monitoring line from the 3D model data, and reads the design elevation and actual elevation associated with the monitoring line. When the difference between the actual elevation and the design elevation meets the conditions for generating a comparison record, the mapping analysis module generates a spatial analysis record. This record includes at least the monitoring line identifier, the corresponding hierarchical object identifier, the elevation comparison status, the elevation difference status, the slope status, and the generation time. Simultaneously, it generates a boundary violation judgment result for abandoned mines. Specifically, this is achieved by spatially overlaying and comparing the boundary of the abandoned mine remediation area with the mining rights boundary layer. When the boundary of the remediation area exceeds the mining rights boundary, a boundary violation judgment result is generated. The boundary of the abandoned mine patch can be used to display the mining rights boundary in the layer to assist in the comparison. When the difference between the actual elevation and the design elevation does not meet the conditions for generating a comparison record, the mapping analysis module marks the monitoring line as an object to be verified, and retains the source of the 3D model data corresponding to the object to be verified and the location of the monitoring line. Both spatial analysis records and objects to be reviewed can be displayed together with the corresponding governance area objects or patch objects on the management terminal, enabling the management terminal to enter the corresponding 3D analysis state from the map object. The spatial analysis records generated by the map attribute analysis module do not directly replace the early warning results, but rather serve as one of the spatial analysis bases read by the early warning rectification module.

[0030] The early warning and rectification module takes the indicator record set, spatial analysis records, and boundary violation judgment results as input. The module reads the indicator records and boundary violation judgment results in the following order: schedule deviation judgment, quality status judgment, performance status judgment, and boundary violation judgment. For schedule deviation judgment, the module reads the planned progress and actual completed work volume from the schedule indicator records and generates the actual progress vs. planned progress deviation rate. When the actual progress vs. planned progress deviation rate meets the schedule early warning conditions, for example, a level one early warning is triggered when the actual progress vs. planned progress deviation rate exceeds 15%, and a level two early warning is triggered when the deviation rate is between 5% and 15%. For quality status judgment, the module reads the quality supervision anomaly status. When the quality supervision anomaly status meets the quality early warning conditions, the module generates the corresponding early warning level. For performance status judgment, the module reads the performance target completion status. When the performance target completion status meets the performance early warning conditions, the module generates the corresponding early warning level. For boundary violation judgment, the module reads the boundary violation judgment results. When the boundary violation judgment results meet the boundary violation early warning conditions, the module generates the corresponding early warning level. If any judgment result does not meet the corresponding warning condition, the warning rectification module retains the corresponding no-warning status record. If multiple judgment results simultaneously meet the corresponding warning conditions, the warning rectification module writes warning records according to the warning source type, so that progress, quality, performance, and out-of-bounds statuses each retain their respective source types.

[0031] The early warning and rectification module writes the early warning level, corresponding hierarchical object identifier, early warning source type, and trigger time into the early warning record. When multiple early warnings are triggered simultaneously, independent early warning records are generated according to the early warning source type and associated with the same hierarchical object. When an early warning record is associated with a responsible object, the early warning and rectification module generates rectification items and receives rectification materials. Rectification items include at least the hierarchical object identifier, early warning source type, rectification material requirements, rectification status, and review status. After the rectification materials enter the system, the early warning and rectification module compares the rectification materials with the material requirements of the rectification items. When the rectification materials match the material requirements of the rectification items, the early warning and rectification module updates the review status to "pending review"; when the rectification materials do not match the material requirements of the rectification items, the early warning and rectification module updates the review status to "material correction" status. After the review status is updated, the early warning and rectification module returns the review status to the data on the supervision interface, enabling the management end to view the correspondence between early warning level, rectification items, rectification materials, and review status under the same hierarchical object. The above closed loop is based on the hierarchical object identifier, and the early warning record, rectification items, and review status are all inseparable from their source object.

[0032] When generating regulatory interface data on the management side, the spatial business module provides hierarchical object indexes and object trees, the resource management module provides data binding records and a list of data to be matched, the regulatory indicator module provides a set of indicator records, the map attribute analysis module provides spatial analysis records and objects to be reviewed, and the early warning and rectification module provides early warning records, rectification items, and review status. After receiving object tree selections, layer selections, or spatial box selections, the management side initiates a call to the server side using the selected object identifier. The server side retrieves the indicator record set, document data, 3D model data, spatial analysis records, early warning records, and rectification items sequentially according to the selected object identifier, and outputs the regulatory interface data. Both early warning and rectification data are written back to the corresponding hierarchical object nodes to form a closed loop. The regulatory interface data may include fields corresponding to financial status, construction progress, quality supervision, performance targets, spatial analysis records, and early warning and rectification. The above interface output is only a display format of the data call results and does not change the data binding records, indicator record sets, spatial analysis records, early warning records, and review status already generated on the server side.

[0033] To ensure the traceability of the data processing chain, the inputs and outputs between each module in this embodiment have clearly defined receiving locations. The spatial business module outputs a hierarchical object index and a list of objects to be verified. The hierarchical object index enters the resource management module as a binding basis, and the list of objects to be verified enters the management terminal as a verification basis. The resource management module outputs data binding records and a list of data to be matched. The data binding records enter the regulatory indicator module and the map attribute analysis module as data sources, and the list of data to be matched enters the management terminal as a correction basis. The regulatory indicator module outputs a set of indicator records, which enters the map attribute analysis module and the early warning and rectification module as a basis for linked queries and early warning judgments. The map attribute analysis module outputs spatial analysis records and objects to be reviewed. The spatial analysis records enter the early warning and rectification module and the management terminal, and the objects to be reviewed enter the management terminal. The early warning and rectification module outputs early warning records, rectification items, and review status. These data enter the management terminal to form the regulatory interface data. Through the above input-output relationships, each intermediate result in this embodiment has a source and subsequent use.

[0034] Regarding anomaly boundary handling, when a mismatch occurs in the superior identifier during the hierarchical object indexing stage, the spatial business module adds the object to the list of objects to be verified and stops binding it with the regulatory data; during the resource binding stage, when object identifiers are missing, object identifiers are inconsistent, spatial ranges do not intersect, or the collection time is not within the corresponding start and end time of the project stage, the resource management module adds the corresponding data to the list of data to be matched; during the map attribute analysis stage, when the selected area does not meet the preset overlap conditions, the map attribute analysis module returns a query status with no matching spatial objects; during the 3D model analysis stage, when the difference between the actual elevation and the design elevation does not meet the conditions for generating comparison records, the map attribute analysis module marks the monitoring line as an object to be reviewed; during the rectification data processing stage, when the rectification data does not match the data requirements of the rectification items, the early warning rectification module updates the review status to the data correction status. All of the above anomaly boundaries retain intermediate states and subsequent receiving positions to prevent abnormal data from directly entering the final regulatory interface data or the early warning rectification closed loop.

[0035] The specific processes, field states, data sources, processing order, judgment conditions, module collaboration, and closed-loop relationships described in this embodiment are used to explain the possible implementations of the present invention and should not be construed as limiting the present invention to the specific embodiments listed. Without departing from the technical solutions described in this invention and the scope of the original disclosure, any equivalent substitutions, modifications, combinations, order adjustments, module replacements, equivalent changes in field names, equivalent inheritance of the executing entity, or equivalent changes in the carrier form that can be conceived by those skilled in the art should fall within the scope of protection of this patent; however, they should not be extended to unclaimed topics, nor should the substantive correspondence of the technical objects be altered through name changes.

Claims

1. A smart monitoring system for the entire lifecycle of ecological restoration of abandoned mines, characterized in that: It includes a spatial business module, a resource management module, a regulatory indicator module, a map attribute analysis module, and an early warning and rectification module; The spatial business module establishes a hierarchical object index between abandoned mine ecological restoration projects, mine restoration zones, ecological restoration sub-projects, mine restoration construction projects, abandoned mine governance areas, and abandoned mine map patches. The hierarchical object index provides a unified association anchor point for all regulatory data in the entire system, and multiple modules interact with each other through the node identifier of the hierarchical object. The resource management module binds data on funding status, construction progress, quality supervision, performance targets, documents, remote sensing images, oblique photography models, monitoring line sampling points, video recordings, and inspection records for the ecological restoration of abandoned mines to the hierarchical object index. The regulatory indicator module generates indicator records for four categories of regulatory objects: funding, progress, quality, and performance, based on the source of funds and budget, contract, amount received, planned progress and current completed work, quality inspection records and rectification status, and performance targets and physical output indicators. When the image analysis module receives a layer selection or spatial selection instruction, it calls the indicator records, data and three-dimensional model data according to the selected object identifier, and compares the monitoring line, elevation, elevation difference, slope, design elevation and current elevation in the abandoned mine remediation area to generate a spatial analysis record, and at the same time generates the abandoned mine boundary judgment result. The early warning and rectification module compares the deviation rate between actual progress and planned progress, abnormal status of quality supervision, performance target completion status, and boundary judgment results of abandoned mines in the indicator records with the early warning rules in sequence. When the comparison results meet the early warning triggering conditions, the module generates early warning level, rectification items, review status, and regulatory interface data. Both early warning and rectification data are written back to the nodes of the corresponding level objects to form a closed loop.

2. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 1, characterized in that: The spatial business module establishes ecological restoration project objects for abandoned mines according to the engineering identifiers in the application data of abandoned mine ecological restoration projects, establishes mine restoration zone objects according to the mine restoration zone boundaries in the exploration and design data, establishes ecological restoration sub-project objects and mine restoration construction project objects according to the names of ecological restoration sub-projects and mine restoration construction projects in the mine restoration construction management data, and establishes abandoned mine governance area objects and abandoned mine map object objects according to the boundaries of abandoned mine governance areas and abandoned mine map patches in the spatial data. When the parent identifier of any object matches the identifier of an existing object in the hierarchical object index, the object is written to the child node of the corresponding parent object. When the parent identifier of any object does not match the identifier of an existing object in the hierarchical object index, the object is written to the object to be verified list and its binding with the regulatory data is stopped. The objects in the object to be verified list do not participate in the subsequent indicator generation, graph analysis and early warning judgment process.

3. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 1, characterized in that: The resource management module reads the following data from the abandoned mine ecological restoration funding status data: funding source, budget amount, contract amount, and amount received; the mine restoration construction progress data: planned progress, current completed work volume, and reporting time; the mine restoration quality supervision data: inspection targets, inspection conclusions, and rectification status; and the mine restoration performance target data: target category, physical output indicators, and completion status. When the object identifier carried by the read data matches the node identifier in the hierarchical object index, the read data is written into the data binding record of the corresponding node; When the read data is missing an object identifier or the object identifier is inconsistent, the read data will be written to the list of data to be matched.

4. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 3, characterized in that: The resource management module marks the data types of abandoned mine ecological restoration documents, remote sensing images, oblique photography models, monitoring line sampling points, video recordings and inspection records, and extracts the corresponding mine spatial range, collection time and project stage of the data type markings; When the spatial extent of the mine intersects with the abandoned mine remediation area object or abandoned mine patch object in the hierarchical object index, and the collection time is within the start and end time corresponding to the project phase, the corresponding data will be written into the data binding record. When the mining area or collection time does not meet the writing conditions, the corresponding data will be written into the list of data to be matched.

5. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 1, characterized in that: The regulatory indicator module generates funding indicator records based on the source of funds, budget amount, contract amount, and amount received for ecological restoration of abandoned mines; it generates progress indicator records based on the progress of the mine restoration plan, the current amount of completed work, and the reporting time; it generates quality indicator records based on the inspection targets, inspection conclusions, and rectification status of the mine restoration; and it generates performance indicator records based on the target category, physical output indicators, and completion status of the mine restoration. Write the records of funding indicators, progress indicators, quality indicators, and performance indicators into the set of indicator records corresponding to the same abandoned mine level object.

6. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 5, characterized in that: The regulatory indicator module performs status verification on the funding indicator records, progress indicator records, quality indicator records, and performance indicator records in the indicator record set; When there are progress indicator records with updated reporting time under the same abandoned mine level object, the current completed work volume is updated with the progress indicator record with updated reporting time. When there are quality indicator records with unclosed rectification status under the same abandoned mine level object, the abnormal quality supervision status will be written into the indicator record set. When the completion status in the performance indicator record is inconsistent with the physical output indicator, the performance target pending verification status is written into the indicator record set.

7. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 1, characterized in that: When the image analysis module receives the layer selection instruction, it reads the ecological restoration sub-project object, mine restoration construction project object, abandoned mine treatment area object or abandoned mine patch object corresponding to the selected layer. Upon receiving the spatial selection instruction, determine the intersection relationship between the selection range and the boundary of the abandoned mine spatial object in the hierarchical object index; When the intersection relationship meets the preset overlap condition, the abandoned mine space object that meets the preset overlap condition is selected as the selected object, and the corresponding indicator record, document data and three-dimensional model data are called according to the selected object identifier.

8. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 7, characterized in that: The mapping analysis module extracts the elevation, elevation difference, slope and coordinate parameters corresponding to the monitoring line of the abandoned mine remediation area from the three-dimensional model data, and reads the design elevation and current elevation associated with the monitoring line of the abandoned mine remediation area; When the difference between the current elevation and the design elevation meets the conditions for generating a comparison record, a spatial analysis record is generated. When the difference between the current elevation and the design elevation does not meet the conditions for generating the comparison record, the monitoring line of the abandoned mine remediation area is marked as an object to be reviewed.

9. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 1, characterized in that: The early warning and rectification module reads the indicator records and the results of the abandoned mine boundary judgment in the order of mine restoration progress deviation judgment, quality status judgment, performance status judgment and abandoned mine boundary crossing judgment. When the deviation rate between the current progress and the planned progress meets the progress warning condition, or the abnormal state of quality supervision meets the quality warning condition, or the performance target completion status meets the performance warning condition, or the boundary judgment result of the abandoned mine meets the boundary warning condition, the corresponding warning level is generated. If any judgment result does not meet the corresponding warning condition, the corresponding no-warning status record is retained.

10. The intelligent monitoring system for the entire lifecycle of ecological restoration of abandoned mines according to claim 9, characterized in that: The early warning and rectification module writes the early warning level, the corresponding abandoned mine level object identifier, the early warning source type, and the trigger time into the early warning record. When multiple early warnings are triggered at the same time, independent early warning records are generated according to the early warning source type and associated with the same level object. When the early warning record is associated with the entity responsible for the ecological restoration of the abandoned mine, the rectification items are generated and the rectification materials are received; When the rectification materials match the material requirements for the rectification items, the review status is updated to pending review. When the rectification materials do not match the material requirements for the rectification items, the review status will be updated to the material correction status.

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