Intelligent analysis method and system for ecological restoration of territorial space
By constructing an ecological restoration benefit chain structure and a trace intensity index, the problems of single grid assessment and time-lag response in ecological restoration are solved, realizing intelligent analysis and optimal resource allocation for ecological restoration tasks, and improving the system coordination and efficiency of ecological restoration.
Patent Information
- Application Number
- CN202511158675.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-19
- Publication Date
- 2025-11-21
AI Technical Summary
Existing ecological restoration analysis techniques suffer from limitations such as using a single grid as the assessment unit for restoration strategies, lacking regional linkage conflict identification and coordination mechanisms, ignoring the time lag response patterns of ecosystems, lacking an overall structural counterbalancing scheduling mechanism, and making it difficult to implement hierarchical compensatory restoration decisions.
Based on the grid units of national land space, a set of strategy structures and a set of conflict profile vectors for restoration paths are constructed to generate an ecological restoration benefit chain structure. The trace intensity index is calculated, a set of delayed response paths is constructed, and compensatory restoration tasks are coordinated and scheduled through a restoration conflict offset matrix to prioritize the protection of upstream nodes in the ecological benefit chain.
It has achieved intelligent analysis of the entire process of ecological restoration tasks, overcome the problem of fragmented restoration tasks, enhanced the causal modeling of ecological responses and the accurate characterization of response lags, and improved the efficiency of resource allocation and the system coordination of ecological restoration.
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Figure CN120996368A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of intelligent analysis technology, in particular to a land space ecological restoration intelligent analysis method and system. BACKGROUND
[0002] In recent years, ecological restoration, as a key link to promote high-quality development of land space and restoration of ecosystem function, has attracted widespread attention. Traditional ecological restoration relies on macro planning guidance and static evaluation model, which is difficult to finely depict the benefit distribution and dynamic response of restoration measures in spatial scale. Therefore, multi-source technologies such as geographic information system (GIS), remote sensing image analysis (RS), ecological simulation and artificial intelligence are gradually introduced into the process of ecological restoration, in order to enhance the modeling ability of the correlation between spatial pattern, ecological process and restoration effect. On this basis, the land space modeling method based on grid division gradually becomes the main means to construct regional restoration strategy, which provides a spatialized and structured operation basis for ecological restoration. Ecological response analysis method is also constantly enriched, from the initial qualitative index system to quantitative and time-series ecological parameter extraction, so that the causal relationship between ecological response and restoration intervention is more traceable and deducible.
[0003] However, there are still several key bottlenecks in the current ecological restoration intelligent analysis technology: first, the restoration strategy is often evaluated by a single grid, which lacks a conflict identification and coordination mechanism for regional linkage, especially in the cross-grid restoration path, there are problems such as redundant intervention or imbalance of strategy superposition, which fails to consider the structural conflict of path interaction between grids; second, the ecological response evaluation is generally oriented to immediate benefit, ignoring the time-lagged response law of ecological system, which cannot accurately identify the benefit diffusion path of restoration measures in time dimension; third, there is a lack of hedging mechanism based on the overall structure of ecological system, which is difficult to implement hierarchical and priority-driven compensatory restoration decisions for conflict paths. SUMMARY
[0004] In view of the problems existing in the current ecological restoration analysis technology, the present application is proposed.
[0005] Therefore, the problem to be solved by the present application is how to realize the intelligent analysis of the whole process of ecological restoration task from strategy making, benefit evaluation to conflict coordination and task scheduling.
[0006] To solve the above technical problems, the present application provides the following technical solutions: In a first aspect, the present application provides a method for intelligent analysis of ecological restoration of territorial space, which comprises: based on the grid units of the territorial space, extracting parameters corresponding to the current strategy unit in each grid unit, and constructing a strategy structure set; and generating a restoration path conflict profile vector set between each pair of adjacent grid units; according to the succession logic of natural resources, combining the restoration target label set on each grid unit, constructing an ecological restoration benefit chain structure, wherein each element corresponds to an ecological response node of the restoration target label set, and extracting a response data sequence set corresponding to each ecological response node; based on the strategy unit structure set and the response data sequence set, calculating the trace strength index of each strategy unit, and combining the time difference of the response of the front and rear ecological response nodes in the ecological restoration benefit chain structure, constructing a lag response path set; according to the restoration path conflict profile vector set and the lag response path set, constructing a restoration conflict hedging matrix; according to the hedging level in the restoration conflict hedging matrix, linkage scheduling the compensatory restoration task plan of the corresponding grid unit, and preferentially compensating the strategy affecting the upstream nodes of the benefit chain.
[0007] As a preferred scheme of the method for intelligent analysis of ecological restoration of territorial space, the construction of the strategy structure set comprises: based on the grid unit division structure of the territorial space, encoding the ecological restoration task types occurred in each grid unit based on the historical restoration engineering archives and the remote sensing intervention records, and constructing a restoration task label set Each restoration task label corresponds to an intervention type and an execution phase identifier; grouping the task labels in each grid unit according to the spatial superposition range and the execution time period based on the restoration task label set, and recording the intervention mode and the target object, and constructing a strategy structure set Each strategy unit contains a spatial coverage code, a time period vector and an intervention object parameter; integrating the strategy structure set according to the grid number sequence to form a strategy structure set of the global grid unit .
[0008] As a preferred scheme of the method for intelligent analysis of ecological restoration of territorial space, the generation of the restoration path conflict profile vector set comprises: for each pair of adjacent grid units in the strategy structure set , extracting the spatial coverage boundaries of the strategy units and of the two strategy units, and constructing a boundary vector pair set ; wherein each boundary vector pair represents the boundary vector combination of the two strategy units; for each boundary vector pair , extracting the intersecting boundary line segments or overlapping buffer segment fragments, and recording as a boundary conflict point set , wherein each is a boundary vector pair Corresponding boundary conflict space expression; combined with boundary conflict point set and strategy unit And The intervention time period parameter, calculate the time period overlap value between each pair of strategies , and construct the conflict profile vector , summarized into a set of repair path conflict profile vectors .
[0009] As a preferred scheme of the land space ecological restoration intelligent analysis method of the application, wherein: the composition of the ecological restoration benefit chain structure includes: the established repair task label set of each grid unit , according to the dependence evolution order between natural resources, construct succession dependence matrix , the matrix element Indicates the dependence direction and priority level of the repair task label Based on the succession dependence matrix , extract each repair target label path with directed dependence relationship, number according to the order of repair target label in the repair target label path, and construct the ecological restoration benefit chain structure , wherein each element is an ecological response node.
[0010] As a preferred scheme of the land space ecological restoration intelligent analysis method of the application, wherein: the calculation of the trace strength index of each strategy unit includes: pairing each strategy unit In the strategy structure set And the corresponding response data sequence in the response data sequence set Construct a strategy-index mapping set; for each pair In the strategy-index mapping set , the change slope, amplitude and duration of the response data sequence In the intervention start and end time period of the strategy unit .
[0011] As a preferred scheme of the land space ecological restoration intelligent analysis method of the application, wherein: the construction of the lag response path set includes: based on the adjacent ecological response node pair In the ecological restoration benefit chain structure , calculate the response center offset value And Response data sequence , combined with trace strength index Differential comparison, if and then the hysteresis path element is constructed , a hysteresis response path set is formed ; the calculation of the response center offset value includes: calculating the weighted center time of two response data sequences; and calculating the absolute difference between the two weighted center times to obtain the response center offset value.
[0012] As a preferred scheme of the intelligent analysis method for ecological restoration of territorial space, the construction of the restoration conflict hedging matrix includes: associating each group of conflict items and the hysteresis path element of the hysteresis response path set , calculating the spatial overlap rate and the response chain interference factor for each pair , and generating a hedging level score to form the restoration conflict hedging matrix . .
[0013] As a preferred scheme of the intelligent analysis method for ecological restoration of territorial space, the calculation of the hedging level score includes: extracting the spatial range corresponding to each group of conflict items and the hysteresis path element respectively, calculating the ratio of the overlapping area to the combined area to obtain the spatial overlap rate of the two spatial ranges; obtaining the response chain interference factor by dividing the value 1 by 1+ the response center offset value ; and combining the spatial overlap rate and the response chain interference factor to obtain the hedging level score through weighted calculation.
[0014] As a preferred scheme of the intelligent analysis method for ecological restoration of territorial space, the linkage scheduling of the compensatory restoration task plan for the corresponding grid unit according to the hedging level in the restoration conflict hedging matrix includes: assigning an ecological impact weight according to the position of each ecological response node in the ecological restoration benefit chain structure ; constructing a joint priority matrix according to the product of the hedging level score in the restoration conflict hedging matrix and the ecological impact weight of the corresponding ecological response node ; identifying the restoration path with the highest priority and the corresponding grid unit according to the joint priority matrix, screening out the matching compensatory restoration task label in combination with the hysteresis path element of the hysteresis response path, and including it in the compensatory task plan set; sorting the compensatory task plan set according to the joint priority matrix to form a linkage scheduling task list based on the hedging relationship and ecological impact.
[0015] In a second aspect, the present application provides a land space ecological restoration intelligent analysis system, which comprises: a strategy construction unit, configured to extract parameters corresponding to a current strategy unit in each grid unit of a land space, construct a strategy structure set, and generate a restoration path conflict profile vector set between each pair of adjacent grid units; an efficiency chain construction unit, configured to construct an ecological restoration efficiency chain structure according to a natural resource succession logic and in combination with a restoration target label set on each grid unit, wherein each element corresponds to an ecological response node of the restoration target label set, and extract a response data sequence set corresponding to each ecological response node; a trace analysis unit, configured to calculate a trace strength index of each strategy unit based on the strategy unit structure set and the response data sequence set, and construct a lag response path set in combination with a response time difference between front and rear ecological response nodes in the ecological restoration efficiency chain structure; a hedging scheduling unit, configured to construct a restoration conflict hedging matrix according to the restoration path conflict profile vector set and the lag response path set, and link and schedule a compensatory restoration task plan of a corresponding grid unit according to a hedging level in the restoration conflict hedging matrix, and preferentially compensate strategies affecting upstream nodes of the efficiency chain.
[0016] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the computer program instructions are executed by the processor to implement the steps of the land space ecological restoration intelligent analysis method according to the first aspect of the present application.
[0017] In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program instructions are executed by a processor to implement the steps of the land space ecological restoration intelligent analysis method according to the first aspect of the present application.
[0018] The present application has the following beneficial effects: in one aspect, the strategy structure set and the restoration path conflict profile vector set are established based on spatial grid division, which breaks through the problem of fragmentation of traditional restoration tasks and the inability to systematically evaluate intervention superposition conflicts; on the other hand, by constructing the ecological restoration efficiency chain structure and the trace strength index, causal modeling of ecological response and accurate description of response lag are realized, and the explainability and predictability of restoration effects are enhanced. At the same time, the restoration conflict hedging matrix is constructed and the compensatory restoration task is linked and scheduled, so that in the case of intervention conflict, the upstream key nodes of the ecological efficiency chain are preferentially protected, and the resource allocation efficiency and the system coordination of ecological restoration are improved. BRIEF DESCRIPTION OF DRAWINGS
[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort on the basis of these drawings.
[0020] Figure 1 The flowchart of the land space ecological restoration intelligent analysis method according to the embodiments of the present application.
[0021] Figure 2 The structural diagram of the land space ecological restoration intelligent analysis system. DETAILED DESCRIPTION
[0022] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification.
[0023] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other ways different from the description, and those skilled in the art can make similar generalizations without departing from the connotation of the present application, therefore the present application is not limited by the specific embodiments disclosed below.
[0024] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an independent or selective embodiment that excludes other embodiments.
[0025] As described in the above background, the current ecological restoration intelligent analysis technology still has several key bottlenecks: first, the restoration strategy is often evaluated as a single grid, lacking a conflict identification and coordination mechanism for regional linkage, especially in the cross-grid restoration path, there are problems such as redundant intervention or strategy imbalance, and the structural conflict of path interaction between grids is not considered; second, the ecological response evaluation is generally oriented to immediate benefits, ignoring the time-lagged response law of the ecological system, and unable to accurately identify the benefit diffusion path of the restoration measures in the time dimension; third, there is a lack of hedging mechanism based on the overall structure of the ecological system, and it is difficult to implement hierarchical and priority-driven compensatory restoration decisions for conflict paths.
[0026] Figure 1 The flowchart of the land space ecological restoration intelligent analysis method according to the embodiments of the present application. As shown in Figure 1 In the land space ecological restoration intelligent analysis method, it includes: S1: Based on the grid unit of territorial space, extract the parameters corresponding to the current policy unit in each grid unit, and construct the policy structure set; and generate the repair path conflict profile vector set between each pair of adjacent grid units.
[0027] Firstly, the spatial division system in the analysis area needs to be standardized. The territorial space is divided into regular or irregular basic grid units, each of which has a unique number identification in two-dimensional or three-dimensional coordinate system. In each grid unit, the records of ecological restoration activities in the region over the years need to be extracted, including artificial intervention (such as land consolidation, vegetation restoration) and natural process guidance (such as hydrological regulation, natural enclosure) etc.
[0028] S1.1: Construction of policy structure set.
[0029] Under the grid unit division structure of territorial space, based on historical restoration engineering archives and remote sensing intervention records, the types of ecological restoration tasks that have occurred in each grid unit are coded to construct a repair task label set ; each repair task label corresponds to a specific intervention type and execution phase identifier.
[0030] Based on the repair task label set, the task labels in each grid unit are grouped according to the spatial overlap range and execution time period, and the intervention method and target object are recorded to construct the policy structure set , where each policy unit contains spatial coverage coding, time period vector and intervention object parameters. Specifically, based on the analysis of each label in the repair task label set according to the time period and spatial influence range in the grid unit, the task labels with spatial overlap or the same target object in the same time period are identified, and the structured policy unit is constructed accordingly.
[0031] The policy structure set is integrated according to the grid number sequence, that is, all policy units under each grid unit are uniformly coded and stored, and the corresponding grid number and coordinate information are bound to form the policy structure set of the global grid unit . This structure set has the ability of horizontal comparison and vertical evolution analysis, and is the basic data set for subsequent repair path conflict identification.
[0032] It should be noted that the current restoration activities in the territorial space have a high fragmentation characteristic, and a single intervention behavior often does not have the linkage of the ecosystem level. The strategy structure set can unify the spatio-temporal continuity, providing data standardization support for subsequent response chain modeling and conflict prediction.
[0033] S1.2: Generation of repair path conflict profile vector set.
[0034] For each pair of adjacent grid cells in the strategy structure set , extract the respective strategy cells and the corresponding spatial boundary, and construct a boundary vector pair set ; wherein each boundary vector pair represents a combination of boundary vectors of two strategy cells, and each boundary vector pair represents a possible intervention interface of a pair of strategy cells on the spatial boundary.
[0035] For each boundary vector pair , extract the intersecting boundary line segment or overlapping buffer segment (using a vector intersection algorithm, such as the fast rectangular boundary screening + segmented scan line method to extract the spatial overlapping region), and record it as a boundary conflict point set , wherein each is the boundary conflict spatial representation of the boundary vector pair . If the overlapping length between two strategy cells is not less than the preset length threshold, it is judged that there is physical contact or influence extension.
[0036] Combine the boundary conflict point set and the intervention time period parameters of the strategy cells and , calculate the time period overlap value between each pair of strategies, and construct a conflict profile vector , which is summarized into a repair path conflict profile vector set .
[0037] For example, the calculation of the time period overlap value between each pair of strategies can be as follows: Obtain the spatial boundary conflict point set between the corresponding two strategy cells in the repair path conflict profile vector set, as well as the corresponding two intervention time periods and ; According to the two intervention time periods, calculate the time period overlap length : ; Further calculate the time period joint length : ; Accordingly, the time period overlap degree is calculated as the time period overlap length minus the time period joint length .
[0038] The calculation of the spatial conflict intensity is the absolute value of the size of the spatial boundary conflict point set divided by the absolute value of the size of the entire boundary point set (the union of the boundary point sets of the two grid cells). The time period overlap degree and the spatial conflict intensity are weighted to obtain the time period overlap value between each pair of strategies .
[0039] For example, if the size of the two spatial boundary conflict point sets is 24 and the size of the entire boundary point set is 120, the spatial conflict intensity is ; wherein the intervention time period of the repair strategy unit and is and respectively, the overlap length of the two time periods is , which is ; the joint length of the time periods is : ; accordingly, the time period overlap degree is ; assuming that the time and space conflict weighting coefficient is 0.6, the final comprehensive time period overlap degree is: .
[0040] S2: According to the natural resource succession logic, combined with the repair target label set on each grid unit, the ecological restoration benefit chain structure is constructed, wherein each element corresponds to the ecological response node of the repair target label set, and the response data sequence set corresponding to each ecological response node is extracted.
[0041] Firstly, according to the established repair task label set of each grid unit, the succession dependence matrix is constructed according to the dependence evolution order between natural resource types (such as water body restoration prior to vegetation growth), and the element of the matrix represents the dependence direction and priority level of the repair task label to .
[0042] Specifically, the succession dependence matrix is a directed weighted matrix, if the element , it means that the repair task label has no clear dependence on ; if , it means that the ecological response effect of depends on the completion of the repair task of , and the larger the value is, the stronger the dependence is or the higher the priority is.
[0043] The construction of this matrix is based on the multi-source fusion ecological succession rule library. According to the principles of ecology and long-term field investigation results, this rule library defines the repair order of common ecological factors, for example: water connectivity restoration → soil stability improvement → vegetation natural regeneration; wetland function restoration → water bird habitat reconstruction; ground micro-topography reconstruction → biological community succession formation.
[0044] The rule matching mechanism based on the ontology and the expert rule fusion is adopted, the factor types (such as water body, soil, woodland, wild life and the like) corresponding to intervention objects in labels are mapped, and the dependent path is searched in the factor succession ontology tree, so that whether there is a dependent relationship between labels is determined, and a corresponding priority level is given, and the construction of the succession dependent matrix makes the subsequent establishment of the ecological response chain have clear directionality and order control ability, and the problems of independent processing of ecological factors and ignoring the overall succession logic of the ecological system in the traditional analysis method are solved from the root.
[0045] Based on the succession dependent matrix , the repair target label path with a directed dependent relationship is extracted, the repair target labels are numbered in the repair target label path according to the order, and the ecological restoration benefit chain structure is constructed , wherein each element is an ecological response node.
[0046] Specifically, a topological sorting algorithm (such as Kahn algorithm or DFS backtracking method) is used to identify branch paths of a directed graph formed by the dependent matrix, and a directed path set from a source task (no predecessor dependent) to a target task (no successor dependent) is extracted, wherein each path represents a logically feasible repair response order.
[0047] The ecological restoration benefit chain structure is essentially a directed layered chain network, each chain represents a possible ecological process repair path, and each node is a logical connection point of an ecological target response. The structure supports tracking the ecological benefit progressive relationship according to the path, and can also be used as a conflict discrimination basis in strategy adjustment.
[0048] It should be noted that the present application orders the spatially distributed repair target labels through the internal succession mechanism of the ecological system, establishes a response path across time and factors, so that subsequent ecological simulation and prediction can be based on chain reasoning rather than point regression, and the causal completeness of the overall ecological analysis is improved.
[0049] Further, for each ecological response node, the remote sensing index sequence, the ground survey data or the ecological simulation result related to the repair task label in the corresponding grid cell are extracted to form a response data sequence, and the response data sequence set D is formed.
[0050] The remote sensing ecological index sequence is derived from the interpretation of multi-period remote sensing data for the corresponding grid units of nodes, including ecological indicators such as near-infrared vegetation index, soil moisture index, wetland distribution index, and built-up area identification index. The surface ecological survey data sequence includes, if ecological survey quadrats are located in the grid unit, or if field sampling records are provided by the regional management unit, surface measured data can be organized in time series, such as soil pH, water content, organic matter, biodiversity index, and habitat suitability index. This type of data is in structured tabular form and needs to be uniformly normalized into a time series after data preprocessing. Ecological simulation results include, when sufficient remote sensing and measured data are lacking, the ecosystem process model (such as InVEST, PLUS, or CLUE-S) can be used to simulate the time evolution process based on the input parameters of the strategy unit, extracting the model's predicted output indicators (such as hydrological flux, biomass accumulation, etc.) as part of the response data sequence. This type of data requires accompanying descriptions of the model source and input parameters to ensure data reliability.
[0051] In summary, this invention can clearly define the ecological causal sequence between restoration tasks, thereby generating a structured ecological restoration benefit chain. This benefit chain structure enhances the modeling ability of causal impact transmission paths in ecosystems, making it easier to identify key response nodes and weak links. At the same time, by extracting the remote sensing or simulation data sequence corresponding to each response node, a response dataset can be systematically established, which is beneficial for realizing time-series tracking and comparative evaluation of the effects of ecological intervention.
[0052] S3: Based on the strategy unit structure set and response data sequence set, calculate the trace intensity index of each strategy unit, and combine the response time difference of the preceding and following ecological response nodes in the ecological restoration benefit chain structure to construct a set of delayed response paths.
[0053] The calculation of the traceability intensity index for each strategy unit includes: strategy structure set Each strategy unit and response data sequence set The corresponding response data sequence Perform one-to-one pairing to construct a strategy-indicator mapping set; For each pair in the strategy-indicator mapping set For the response data sequence In the strategy unit The slope, magnitude, and duration of the change within the intervention period are weighted and integrated to generate the corresponding trace intensity index. .
[0054] The slope of change can be calculated using linear regression or local trend analysis; the amplitude is the range between the maximum and minimum values; and the duration is the length of a time slice where the rate of change is not less than a preset response threshold. These three factors are weighted and integrated according to weighting coefficients. This trace intensity index characterizes the degree of significance that the strategy unit has on the response chain in both spatial and temporal dimensions.
[0055] Furthermore, the construction of the delayed response path set includes: Based on the ecological restoration benefit chain structure Adjacent ecological response node pairs For the response data sequence and Calculate the response center offset value And combined with the trace strength index Perform a difference comparison, if the following conditions are met yes direct or indirect downstream nodes, and If the path segment exhibits delayed behavior, then delayed path elements are constructed. Forming a set of delayed response paths .
[0056] Among them, the response center offset value The calculation includes: calculating the weighted center time of two response data sequences (time average weighted by data values); and calculating the absolute difference between the two weighted center times to obtain the response center offset value. Additionally, for any pair of response nodes in the ecological restoration benefit chain structure, if... Not For direct or indirect downstream nodes, the response center offset value is not calculated, and the corresponding node pairs are not included in the hysteresis path analysis.
[0057] In summary, this invention, by pairing strategy structures with ecological response sequences one-to-one, extracts the slope, amplitude, and duration of response changes within the intervention period, and constructs a trace intensity index, enabling quantitative characterization of the strength and delay characteristics of ecological intervention effects. Furthermore, based on the difference in response center offset between adjacent response nodes in the ecological restoration benefit chain, and combined with the trace index, directional determination is made, identifying lagging paths only when the subsequent node exhibits a significant delay compared to the preceding node and the response intensity is weaker, effectively avoiding misjudgment. This mechanism strengthens the temporal consistency constraint of the ecological causal chain, providing a scientific basis for constructing a set of response lag paths and subsequent compensation scheduling.
[0058] S4: Construct a repair conflict hedging matrix based on the repair path conflict profile vector set and the delayed response path set; based on the hedging level in the repair conflict hedging matrix, coordinate and schedule the compensatory repair task plan of the corresponding grid unit, and prioritize the strategy of compensating upstream nodes in the benefit chain.
[0059] S4.1: Fix the construction of the conflict hedging matrix.
[0060] Repair path conflict profile vector set Each group of conflict items and delayed response path set Lag path elements Perform pairing, for each pair Calculate spatial overlap rate and response chain interference factor to generate hedging grade score. Forming a conflict-repairing hedging matrix .
[0061] Among them, hedging rating The calculations include: Extract conflict items from each group separately and delayed path elements For the corresponding spatial range, calculate the ratio of the overlapping area to the merged area to obtain the spatial overlap rate of the two spatial ranges; By dividing the value 1 by 1 + response center offset value Obtain the response chain interference factor; The hedging rating is obtained by weighting the spatial overlap rate and the response chain interference factor.
[0062] Fill all the hedging ratings into the matrix in sequence to complete the construction of the conflict hedging matrix.
[0063] S4.2: Based on the hedging level in the conflict hedging matrix, coordinate and schedule the compensatory repair task plan of the corresponding grid unit.
[0064] Based on the ecological restoration benefit chain structure Each ecological response node The ecological impact weight is assigned based on the position of the nodes, with those located at the beginning of the ecological restoration benefit chain (such as water purification nodes) given higher weights to reflect their priority in the transmission of benefits to the overall restoration chain.
[0065] According to the repair conflict hedging matrix Medium hedge rating With corresponding ecological response nodes The product of the ecological impact weights is used to calculate all joint scores, and the joint priority matrix is constructed by sorting them in descending order of size.
[0066] It should be noted that only when the conflict profile vector item and the lag path response interval exist a time period overlap, the subsequent hedge level score calculation can be carried out.
[0067] According to the joint priority matrix, the highest priority repair path and the corresponding grid unit are identified, and the matched compensatory repair task label is screened out in combination with the lag path element of the lag response path, and is included in the compensation task plan set.
[0068] All compensatory repair tasks included in the compensation task plan set are reordered according to the topological order of the associated ecological response node in the ecological restoration benefit chain. The specific operation is: based on the numbering order of each node in the ecological benefit chain structure, a task dependency graph is constructed. For each compensation task, the corresponding response node number is extracted as the serial number identifier in the topological graph. By executing the topological sorting algorithm in the task scheduling process, an execution queue that meets the ecological causality logic can be obtained, ensuring that the compensation tasks corresponding to the previous response nodes are scheduled and implemented in time, thereby effectively guaranteeing that the subsequent response nodes have a reliable ecological prerequisite condition.
[0069] In combination with the priority score of the compensation task (obtained by multiplying the hedge level and the response node weight), the task priority is further refined and sorted within the pre-order-post-order topological sequence. That is: under the premise of meeting the ecological succession order, tasks with higher score values are preferentially executed to maximize the ecological restoration benefit recovery speed per unit time. This double-layer sorting mechanism can achieve the optimal arrangement of compensation tasks in the two dimensions of causality dependence and weight value, avoiding the problem of invalid intervention of the post-node due to the non-restoration of the pre-ecological node in the strategy scheduling, thereby improving the continuity and response synergy of the overall ecological response link.
[0070] The scheduling system can dynamically issue or recommend compensation tasks for the corresponding grid unit based on this list in combination with regulation and control resource constraints, timing control parameters and other information, thereby repairing the lag path chain breakage and improving the overall benefit chain stability of ecological restoration.
[0071] As can be seen, the present application constructs a quantifiable hedge level score model through a space-time-response three-domain joint matching mechanism, realizes lag breakage identification on the chain according to the response chain interference factor, solves the problem of ignoring the ecological response chain structure in traditional strategy conflict processing, and constructs a scheduling mechanism based on joint priority, strengthens the principle of preferential repair of ecological pre-node, and improves the conduction efficiency of the overall intervention.
[0072] Further, as shown in Figure 2 , the embodiment also provides a land space ecological restoration intelligent analysis system, which comprises, The strategy construction unit is configured to extract parameters corresponding to the current strategy unit in each grid unit based on the grid unit of the territorial space, construct a strategy structure set, and generate a repair path conflict profile vector set between each pair of adjacent grid units. The benefit chain construction unit is configured to construct an ecological restoration benefit chain structure according to the succession logic of natural resources and in combination with a repair target label set on each grid unit, wherein each element corresponds to an ecological response node of the repair target label set, and extract a response data sequence set corresponding to each ecological response node. The trace analysis unit is configured to calculate a trace strength index of each strategy unit based on the strategy unit structure set and the response data sequence set, and construct a lag response path set in combination with a response time difference between front and rear ecological response nodes in the ecological restoration benefit chain structure. The hedging scheduling unit is configured to construct a repair conflict hedging matrix according to the repair path conflict profile vector set and the lag response path set, and link and schedule a compensatory repair task plan of the corresponding grid unit according to a hedging level in the repair conflict hedging matrix, and preferentially compensate the strategy affecting the upstream nodes of the benefit chain.
[0073] The embodiment also provides a computer device suitable for the case of the intelligent analysis method for ecological restoration of territorial space, including a memory and a processor; the memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions to implement the intelligent analysis method for ecological restoration of territorial space proposed in the above embodiment.
[0074] The computer device can be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The communication interface of the computer device is configured to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, operator network, NFC (near field communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device. In addition, the input device can be an external keyboard, touchpad or mouse, etc.
[0075] The embodiment also provides a storage medium having a computer program stored thereon, and the program is executed by a processor to implement the intelligent analysis method for ecological restoration of territorial space proposed in the above embodiment.
[0076] In summary, in one aspect, the application establishes a strategy structure set and a repair path conflict profile vector set based on spatial grid division, breaking through the problem of fragmentation of traditional repair tasks and the inability to systematically evaluate intervention superimposed conflicts. On the other hand, by constructing an ecological restoration benefit chain structure and a trace strength index, causal modeling of ecological response and accurate depiction of response lag are achieved, enhancing the explainability and predictability of the restoration effect. At the same time, a repair conflict pair-off matrix is constructed to coordinate and schedule compensatory repair tasks, ensuring that in the presence of intervention conflicts, the upstream key nodes of the ecological benefit chain are prioritized, improving resource allocation efficiency and the systematic coordination of ecological restoration.
[0077] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.
Claims
1. A method for intelligent analysis of ecological restoration of territorial space, characterized in that: The method comprises the following steps: Based on the grid unit of territorial space, the parameters corresponding to the current strategy unit in each grid unit are extracted, and a strategy structure set is constructed; And generate a repair path conflict profile vector set between each pair of adjacent grid units; According to the natural resource succession logic, combined with the repair target label set on each grid unit, an ecological restoration benefit chain structure is constructed, where each element corresponds to an ecological response node of the repair target label set, and a response data sequence set corresponding to each ecological response node is extracted; Based on the strategy unit structure set and the response data sequence set, the footprint strength index of each strategy unit is calculated, and combined with the response time difference between the front and rear ecological response nodes in the ecological restoration benefit chain structure, a lag response path set is constructed; According to the repair path conflict profile vector set and the lag response path set, a repair conflict hedging matrix is constructed; according to the hedging level in the repair conflict hedging matrix, the corresponding grid unit compensation restoration task plan is linked and dispatched, and the strategy affecting the upstream nodes of the benefit chain is preferentially compensated.
2. The method of claim 1, wherein: The construction of the strategy structure set comprises: Under the grid unit division structure of territorial space, based on historical restoration engineering archives and remote sensing intervention records, the type of ecological restoration task that has occurred in each grid unit is coded to construct a restoration task label set Each restoration task label corresponds to an intervention type and an execution phase identifier; Group the task labels in each grid cell according to the spatial superposition range and execution time period based on the repair task label set, and record the intervention mode and target object, and construct a strategy structure set Wherein each strategy unit Contains spatial coverage coding, time period vector and intervention object parameters; The policy structure set is integrated according to the grid number sequence to form a global grid unit The policy structure set is integrated according to the grid number sequence to form a global grid unit .
3. The method of claim 2, wherein: The generation of the repair path conflict profile vector set comprises: for each pair of adjacent grid cells in the set of policy structures extract respective policy cells and corresponding spatial coverage boundaries, and construct a set of boundary vector pairs ; wherein each boundary vector pair represents a combination of boundary vectors of the two policy cells; for each pair of boundary vectors extract intersecting boundary line segments or overlapping buffer segments and record as a set of boundary conflict points where each is a pair of boundary vectors corresponding boundary conflict space representation; Combining boundary conflict point set and strategy unit And The intervention time period parameter of , and build conflict profile vector , summarized into repair path conflict profile vector set .
4. The method of claim 1, wherein: The construction of the ecological restoration benefit chain structure comprises: A set of repair task labels established for each grid cell According to the evolution order of the dependence between natural resource types, a succession dependence matrix is constructed The matrix element represents the dependence direction and priority level of the repair task label to Succession dependence matrix , extract the repair target label path in which each directed dependence relationship exists, number the repair target labels in the repair target label path according to the order of the repair target labels, and construct an ecological restoration benefit chain structure , wherein each element is an ecological response node.
5. The method of claim 1, wherein: The calculation of the footprint strength index of each strategy unit comprises: strategy structure set Each strategy unit and response data sequence set The corresponding response data sequence Perform one-to-one pairing to construct a strategy-indicator mapping set; For each pair in the policy-metric mapping set , the response data sequence , the policy unit , the change slope, amplitude and duration within the intervention start-end time period are weighted integrated to generate the corresponding footprint strength index .
6. The homeland space ecological restoration intelligent analysis method of claim 5, wherein: The construction of the lag response path set comprises: Based on the ecological restoration benefit chain structure Adjacent ecological response node pairs in , response data sequence And Calculate the response center offset value , combined with the trace strength index Differential comparison, if Is Direct or indirect downstream nodes, And , then construct the lag path element , form the lag response path set ; The response center offset value The calculation includes: Calculate the weighted center time of two response data sequences; And calculate the absolute difference value of the two weighted center times to get the response center offset value.
7. The method of claim 1, wherein: The construction of the repair conflict hedging matrix comprises: The repair path conflict profile vector set is aligned with each set of conflict items and lag response path set lag path elements are aligned, for each pair a spatial overlap rate and response chain interference factor are calculated, generating a pair conflict rating forming a repair conflict pair matrix .
8. The method of claim 7, wherein: The hedge rating score The calculation of the hedge rating score comprises: Respectively extract each group of conflict items And the lag path element The corresponding space range, calculate the ratio of overlapping area and merging area, get the space overlap rate of two space ranges; by dividing the value 1 by 1 + the response center shift value to obtain a response chain interference factor; Combined with the spatial overlap rate and the response chain interference factor, the hedging level score is calculated by weighting.
9. The method of claim 8, wherein: According to the hedging level in the repair conflict hedging matrix, the corresponding grid unit compensation restoration task plan is linked and dispatched, which comprises: According to the ecological restoration benefit chain structure The position of each ecological response node Assigns an ecological impact weight; A conflict-mitigating matrix is constructed according to the repair conflicts A hedge ranking score is computed in the middle The joint priority matrix is constructed from the product of the ecological impact weight of the corresponding ecological response node According to the joint priority matrix, the repair path and the corresponding grid unit with the highest priority are identified, combined with the lag path element of the lag response path, the matching compensation restoration task label is screened out and included in the compensation task plan set; The compensation task plan set is sorted according to the joint priority matrix to form a linked dispatch task list based on the hedging relationship and ecological impact.
10. A system for intelligent analysis of ecological restoration of territorial space, based on the method for intelligent analysis of ecological restoration of territorial space according to any one of claims 1 to 9, characterized in that: It also comprises: A strategy construction unit is used to extract the parameters corresponding to the current strategy unit in each grid unit based on the grid unit of territorial space, and construct a strategy structure set; And generate a repair path conflict profile vector set between each pair of adjacent grid units; A benefit chain construction unit is used to construct an ecological restoration benefit chain structure according to the natural resource succession logic, combined with the repair target label set on each grid unit, where each element corresponds to an ecological response node of the repair target label set, and a response data sequence set corresponding to each ecological response node is extracted; A footprint analysis unit is used to calculate the footprint strength index of each strategy unit based on the strategy unit structure set and the response data sequence set, and construct a lag response path set combined with the response time difference between the front and rear ecological response nodes in the ecological restoration benefit chain structure. A hedging scheduling unit is used to construct a repair conflict hedging matrix according to the repair path conflict profile vector set and the lag response path set; according to the hedging level in the repair conflict hedging matrix, the corresponding grid unit compensation restoration task plan is linked and dispatched, and the strategy affecting the upstream nodes of the benefit chain is preferentially compensated.