59 results about "Spacial Analysis" patented technology

The invention discloses an urban inland inundation simulation prediction method and system based on interpretable machine learning, and the method comprises the steps: obtaining multi-driving-factor data, and obtaining urban inland inundation data through the combination of physical model simulation; constructing a spatial analysis unit of the city, taking multi-driving factor data as an input feature and waterlogging data as an output target variable, training the candidate machine learning models, comparing the prediction precision of each candidate machine learning model which is completely trained, and determining an optimal prediction model; and based on the optimal prediction model, key driving factors and a nonlinear influence mechanism thereof are identified in combination with an interpretability method, the influence of interaction among different factors on the waterlogging risk is analyzed, and finally, a prevention and control and treatment scheme is formulated and output. According to the method, the specific influence of each driving factor on urban waterlogging and the interaction relationship among the factors are disclosed, and a scientific basis is provided for urban climate risk treatment and prevention and control.

The invention discloses a power transmission line path planning method and system based on a natural language and a knowledge graph, and the method comprises the steps: analyzing a natural language path planning target through a large language model, obtaining an intention classification result and a named entity, mapping the intention classification result and the named entity to a business rule knowledge graph for reasoning, and generating a task step sequence; receiving confirmation or modification of a user on each task step to obtain each target task step; searching a combination corresponding to each target task step from the GIS operation knowledge graph by utilizing a large language model, and disassembling the combination into a GIS operator call chain; and calling a corresponding GIS tool through an MCP protocol, executing spatial analysis operation in the GIS operator calling chain corresponding to each target task step according to the sequence of all the target task steps, and generating a path planning result of the power transmission line. According to the invention, full automation, process interpretability and man-machine interaction cooperation of power transmission line path planning are realized, and the power transmission line path planning efficiency is improved.

The invention provides an urban rail transit station development intensity multi-objective optimization method in a TOD mode, and relates to the technical field of urban planning and intelligent transportation, and the method comprises the steps: analyzing the spatial relation between various types of land and urban function nodes according to the data after standardization processing, and carrying out the location value evaluation; constructing a development intensity evaluation model according to the location value evaluation, calculating the initial average plot ratio of each type of land, and deducing an initial development intensity parameter in combination with the current situation data; establishing a development intensity optimization target system according to a TOD planning principle, performing iterative optimization on the initial development intensity parameters by adopting a multi-target genetic algorithm, and outputting an optimal solution set; and carrying out comparative analysis on the optimal solution set and a current planning index, and obtaining a plot ratio index in combination with a regional development planning requirement. According to the method, a technical framework of subjective and objective collaborative optimization can be constructed by fusing GIS spatial analysis, an analytic hierarchy process and a non-dominated sorting genetic algorithm.

The invention relates to the technical field of computer-aided planning, and discloses a territorial space planning decision-making method and system based on multi-dimensional influence assessment, and the method sequentially comprises the steps: multi-source data fusion and problem diagnosis, multi-dimensional influence quantitative assessment, scheme collaborative optimization, and scheme comprehensive screening and decision-making. The system corresponds to the method. According to the method, through multi-source data fusion processing, the data reliability is improved, and a solid foundation is provided for subsequent problem identification; according to a quantitative index and a GIS spatial analysis technology, key problem region identification is more targeted, and the defect of generalization adjustment of a traditional qualitative method is avoided; through traffic, environment and municipal dimension parallel evaluation, the efficiency bottleneck of serial evaluation is avoided, and the evaluation period is shortened; a Pareto candidate scheme set generated through a multi-objective evolutionary algorithm is combined with a comprehensive screening mechanism to ensure that a final scheme is balanced between performance requirements and constraint conditions, and the feasibility of planning landing is enhanced.

The invention relates to a water environment knowledge graph construction method and device based on time and space, and relates to the technical field of water environment data processing, and the method comprises the steps: processing and integrating data based on multi-source data related to a water environment, taking the key attribute of each data as a reference, carrying out the analysis and series connection of entities, and generating the entities, and constructing an entity data model, and determining a spatial relationship and a time sequence relationship through spatial analysis and time sequence analysis between entities. And finally, performing space correlation optimization on each entity according to the space relationship, performing time correlation optimization on each entity according to the time sequence relationship, and further combining space-time correlation optimization to establish a multi-dimensional water environment knowledge graph. Therefore, according to the embodiment, the knowledge graph comprehensively considering the time and space characteristics is established according to the complexity requirement of the water environment information, and the knowledge graph can be used for achieving comprehensive monitoring and management of the water environment.

The invention discloses a GeoJSON-oriented geospatial analysis execution method and system, and relates to the technical field of geographic information science and artificial intelligence. One embodiment of the method comprises the following steps: acquiring a GeoJSON file to be processed; acquiring a natural language task instruction input by a user, performing semantic understanding on the task instruction by using a first language model, extracting an operation target and a constraint condition, and generating an overall task; disassembling the whole task into a plurality of logically ordered sub-tasks to form a sub-task sequence; calling a function library API or generating a script code, executing the subtask, and generating a subtask result; continuously receiving and evaluating the generated sub-task results, and updating the sub-tasks which are not executed completely according to the evaluation result of the sub-task results until all the sub-tasks are completed; and integrating the subtask results to generate an output result. In this way, efficient, reliable and controllable automated geospatial analysis driven by natural languages is achieved.

The invention relates to the technical field of network geographic information systems, and discloses a visual modeling method, system and device for a spatial analysis process and a medium. The method comprises the following steps: constructing a visual component library; in response to a canvas interaction instruction input by a user, performing parameter configuration and component connection based on the visual component library to obtain workflow logic of the canvas; analyzing the workflow logic in real time based on a directed acyclic graph to generate a spatial analysis code and obtain an analysis result of the spatial analysis code; and performing result visualization and export on the analysis result based on the visual component library. According to the method, component dragging, parameter configuration and connection mechanisms suitable for WebGIS spatial analysis are defined, and visual workflow construction is achieved. Based on a directed acyclic graph process analysis algorithm, efficient and executable spatial analysis codes are automatically generated, and dynamic optimization and parallel computing are supported, so that visual modeling and automatic execution of a spatial analysis process are realized.

The invention discloses a backtracking algorithm-based large equipment room position searching method, equipment and medium, and the method comprises the steps: obtaining a large equipment room candidate position set generated through spatial analysis, and building a candidate position hierarchical evaluation mechanism; the hierarchical evaluation mechanism comprises a hard constraint layer, a soft constraint layer and an optimization target layer; constructing a weighted directed graph based on the candidate positions satisfying the hard constraint layer, and determining the weight of each node in the weighted directed graph based on the comprehensive evaluation result of the soft constraint layer and the optimization target layer; nodes in the weighted directed graph represent candidate positions and virtual nodes of each room; constructing an unweighted undirected avoidance graph, and identifying a spatial conflict relationship among all candidate positions; and searching an optimal path in the weighted directed graph and the unweighted undirected avoidance graph through a backtracking algorithm in combination with a heuristic rule, generating a position combination of the large equipment rooms, eliminating virtual nodes in the position combination, and restoring to a final arrangement scheme of the positions of the large equipment rooms.

The invention discloses a city-edge-rural regional structure identification method based on stacked ensemble learning, and belongs to the field of geographic information systems and artificial intelligence, and the method comprises the steps: determining an optimal identification scale through comprehensively analyzing the statistical characteristics of multi-source geographic index feature data on different spatial grid scales; on the optimal identification scale grid, a training set is constructed through manual labeling, an integrated learning model of a diversified unsupervised clustering base model and meta-model fusion strategy is constructed, and based on the training set, the constructed integrated learning model is trained, evaluated and optimized to obtain a final integrated learning model. And precise division of urban, marginal area and rural regional space structures is realized. On the basis of fully utilizing the diversity of the base model and dynamic weight adjustment, the classification precision is remarkably improved, the modular design and the self-adaptive adjustment mechanism can flexibly adapt to geographical environments of different regions, and scientific and reliable spatial analysis support is provided for region development and planning decision.

The invention relates to the technical field of urban planning management, and particularly provides a cross-scale planning key point generation method and system based on NLP and knowledge graph reasoning, and the method comprises the steps: receiving and analyzing a natural language demand of a user, extracting entity information and an instruction intention, and converting the entity information and the instruction intention into a structured instruction; constructing a planning domain knowledge graph containing a planning index constraint relation, a cross-scale planning association rule and a cross-professional parameter mapping relation; extracting a target planning index from the structured instruction, and calling knowledge graph association reasoning to generate an index association set containing association indexes and an adjustment range; performing collaboration verification on the index association set, including cross-scale linkage verification based on upper planning data and GIS spatial analysis and adaptation verification based on knowledge graph cross-professional parameter mapping; and generating a structured planning key point report according to the index association set passing the verification. The method improves the planning key point generation efficiency and compliance, and is suitable for the scenes of urban planning, land development and the like.

The invention discloses a robust measurable modeling method fusing three-dimensional reconstruction and geographical registration, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: acquiring source point cloud data generated by three-dimensional reconstruction and target point cloud data with geographic coordinate reference; initial registration is completed based on a Umeyama algorithm; performing iterative optimization on the initial transformation parameters by adopting a Meishan-iterative reweighted least square-Huber weight algorithm, realizing geographic registration through robust standard deviation estimation, Huber weight distribution and convergence judgment, and generating a measurable geographic space three-dimensional model; volume calculation, distance measurement and spatial analysis can be performed based on the model. According to the method, noise and abnormal point interference are suppressed through a robust iterative optimization mechanism, the registration precision is high, the generated model has unified geographic coordinate reference and high-precision measurement functions, the problems that a traditional three-dimensional model lacks geographic reference and is poor in noise immunity are solved, and the method can be widely applied to scenes such as engineering surveying and mapping and space planning.

The application provides a kind of virtual and real interactive intelligent decision-making method and system, related to engineering safety supervision technical field.The application realizes the deep integration of video intelligent analysis and GIS geographic information system by constructing the whole process link of real-time video stream acquisition, abnormal event intelligent detection, space coordinate mapping conversion, geographic element automatic association, GIS spatial analysis, intelligent decision-making output, and links video sensing data and geographic space data.The application replaces the cumbersome process of traditional manual positioning to execute spatial analysis, compresses the pre-cycle of emergency response, and improves the efficiency of emergency decision-making;Through the accurate spatial positioning of abnormal events and the automatic matching analysis of surrounding road network, water conservancy facilities, risk avoidance points and other geographic elements, the problem of incomplete understanding of key elements and high error rate in manual analysis is solved, providing accurate virtual and real fusion data for emergency decision-making, improving the accuracy and rationality of emergency decision-making plan, and realizing rapid response and accurate disposal in high-risk emergency scenarios.

The invention provides a carbon sink effect evaluation method based on a GIS spatial analysis function, and belongs to the technical field of water ecological environment protection, and the method comprises the steps: collecting multi-type data of an evaluation region, and carrying out the preprocessing of the multi-type data, and obtaining high-quality data; constructing a target layer-criterion layer-index layer three-level index system, and determining the weight of each level index; digital modeling is carried out on the evaluation area, a basic spatial database is obtained in combination with spatial processing of the evaluation area, and multi-source attributes of each unique identification point location in the evaluation area are extracted to be associated and bound with the basic spatial database to form a comprehensive database; by means of a GIS overlay analysis tool, spatial weighted overlay calculation is conducted on the spatialization data and the weight of each layer in the comprehensive database, and a comprehensive evaluation result for evaluating the regional water environment carbon sink effect is generated; and presenting the comprehensive evaluation result in a map form based on a GIS map making function. The problems that a traditional method is high in cost and low in space precision are solved.

This invention discloses a method for assessing the accessibility level of public transportation based on work-residence integration, belonging to the field of urban public transportation planning and assessment technology. The method includes: acquiring multi-source data on the public transportation system of the target area, including static geographic information, departure timetables, and historical operation data; dividing the area into spatial analysis units based on planning boundaries and linear geographic elements; calculating and standardizing three indicators—spatial coverage, service frequency intensity, and operational reliability—for each unit; employing an objective weighting method based on information entropy to automatically determine the weight of each indicator according to its dispersion across all units; weighting and aggregating the standardized indicator values ​​of each unit with their corresponding weights to generate a comprehensive public transportation network service capacity index; and finally generating and outputting a service capacity visualization map based on this index. This invention, through multi-dimensional quantification and objective weighting, achieves a scientific and comprehensive assessment of public transportation service capacity, providing intuitive decision support for planning and management.

This invention provides a short-term traffic conflict prediction method and early warning system based on RSU group collaboration and spatiotemporal graph neural network. It acquires vehicle trajectory and status data collected collaboratively by roadside unit groups, using the coverage area of ​​each RSU as a spatial analysis unit, and constructs an initial energy field distribution map of traffic conflict based on the spatial density of vehicle distribution and the intensity of speed temporal fluctuations. A pre-constructed spatiotemporal graph neural network is invoked to capture energy transfer paths between units, and a temporal cyclic layer is used to capture the energy change inertia within units, predicting and generating a dynamic evolution map of traffic conflict energy containing an energy evolution path network and peak times. Based on the map, potential conflict outbreak sources and expected affected unit sequences are identified, generating conflict propagation situation prediction information including spatial coordinates and propagation time sequences. Based on this information, differentiated collaborative working mode adjustment instructions are generated and distributed to each RSU. This invention achieves short-term prediction of traffic conflicts and collaborative scheduling of roadside resources.

This invention discloses a data analysis method and system for marine communication optical cables, comprising the following steps: collecting and preprocessing optical signal operation data and marine environmental perception data of the marine communication optical cable; extracting optical signal feature vectors and environmental perception feature vectors and establishing corresponding relationships; performing cross-source correlation mapping, unified semantic coding, and collaborative fusion processing to generate multi-source collaborative feature sequences; determining spatial analysis segments and generating segment-level operation feature sets; inputting the segment-level operation feature sets and historical state features into an improved D2STGNN model for joint analysis processing to generate segment state characterization results; and performing anomaly identification and location analysis on each spatial analysis segment based on the segment state characterization results to generate anomaly analysis results. This invention achieves refined characterization and anomaly identification of optical cables through multi-source feature fusion modeling and spatiotemporal correlation analysis, possessing the advantages of high accuracy and strong stability.

A digital processing system for assessing urban resilience, consisting of: a central server, equipped with a multi-core processor and dedicated storage units; a relational database management system connected to the aforementioned centralization server and configured to store spatial geodata, demographic datasets, historical hazard events, land use datasets, building inventory, infrastructure systems, government policies, and stakeholder information; a geodata processing module that is operated via the multi-core processor and has mapping and spatial analysis functions; a vulnerability calculation engine that runs on the multi-core processor and is configured to calculate sensitivity and exposure indices; an adaptive capacity assessment engine that runs on the multi-core processor and is configured to assess coping and adaptation mechanisms; an urban planning attribute analyzer that is powered by the aforementioned multi-core processor and configured to process data on land use diversity, infrastructure robustness, and resource decentralization; a governance assessment module that runs on the multi-core processor and is configured to assess institutional frameworks and stakeholder engagement mechanisms; an integration and synthesis engine connected to the central server and configured to correlate data from the aforementioned modules and to take into account the five Ws of urban resilience; and a reporting and visualization module integrated into a user interface configured to display assessment results, recommendations, and interactive maps.

The application belongs to the technical field of water supply network risk analysis, and discloses a water supply network risk probability prediction model building method fusing multi-source data, which obtains water supply network data of a target area and classifies open source map data, then combines spatial buffer analysis and priority rule determination to realize extraction of external environment characteristics; then rule grid units are constructed within the spatial range of the water supply network, the maintenance spatial density of each grid unit is calculated, and the maintenance spatial density of the grid unit is mapped to each pipe section according to the maintenance spatial density, so that the extraction of the maintenance spatial density characteristics is realized; finally, the machine learning risk prediction model is constructed by integrating the pipe network itself attributes, external environment and maintenance spatial density characteristics, and the risk probability of the pipe section level is directly output. The application fuses open source map data spatial analysis, fault point density clustering and integrated learning prediction, and is suitable for risk probability prediction, high-risk pipe section identification and preventive maintenance decision support of urban water supply networks.

The invention provides a land use analysis method and device for a new energy project, equipment and a storage medium, and relates to the technical field of data processing. The method comprises the steps of obtaining multi-source heterogeneous spatial layer data of a target area, and performing analysis and fusion processing on the multi-source heterogeneous spatial layer data through a data access framework comprising a multi-protocol conversion adapter to obtain processed spatial data; and configuring a spatial analysis strategy based on a rule defined by a user, and executing spatial overlay analysis and condition screening on the processed spatial data according to the strategy to obtain a land use analysis result of the new energy project. According to the method, analysis and fusion of multi-source heterogeneous spatial layer data are realized, multi-dimensional influence factors are integrated into flexibly-configurable screening logic through a spatial analysis strategy supporting a user-defined rule, and a spatial index technology is adopted in a spatial overlay analysis link to accelerate polygon overlay operation, so that the overlay analysis efficiency is improved. Therefore, the execution efficiency of land use analysis is greatly improved.

The application discloses a robust measurable modeling method fusing three-dimensional reconstruction and geographic registration, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: acquiring source point cloud data generated by three-dimensional reconstruction and target point cloud data with geographic coordinate reference; completing initial registration based on an Umeyama algorithm; iteratively optimizing initial transformation parameters by using a Meishan-iterative reweighted least square-Huber weight algorithm, and realizing geographic registration through robust standard deviation estimation, Huber weight distribution and convergence judgment, so as to generate a measurable geographic space three-dimensional model; and based on the model, volume calculation, distance measurement and space analysis can be carried out. The application can inhibit noise and abnormal point interference through a robust iterative optimization mechanism, has high registration accuracy, and the generated model has unified geographic coordinate reference and high-precision measurement function, thereby solving the problems of poor noise resistance and lack of geographic reference of traditional three-dimensional models, and can be widely applied to engineering surveying and mapping, space planning and other scenes.

This application relates to the field of intelligent transportation technology, and provides an interpretable accident liability determination method and system. The method includes: acquiring multi-source accident data, then performing rule-based liability determination based on the multi-source data to generate rule-based determination results; and performing model-based determination based on the multi-source data to generate model-based determination results, wherein the model-based determination results are obtained by performing temporal analysis and spatial analysis on two neural network models respectively; comparing the rule-based determination results with the model-based determination results and outputting a difference result; when the difference result is greater than or equal to a preset difference threshold, performing interpretive analysis on the model-based determination results to output analysis results; and determining the determination result based on the analysis results. This method uses a hybrid decision-making approach combining rule-based determination and model-based determination, and through interpretive analysis, it can output the contribution of features in the multi-source data to the model-based determination results, thereby solving the problem of low reliability of the determination results.

The present application relates to a kind of town development boundary adjustment method and system based on spatial analysis, it is related to town planning technical field, its method includes: collection demand development town information and development demand information;Based on demand development town information, call town basic land information and town geographic data information;Based on town basic land information, town geographic data information and development demand information, generate development initial boundary information;Based on development initial boundary information, generate development fragmentation parameter value;Based on development fragmentation parameter value and town geographic data information, generate selected geographic data information;Based on selected geographic data information, determine selected geographic boundary information;Based on selected geographic boundary information and development initial boundary information, determine development adjustment boundary information, and output development adjustment boundary information.The present application has the effect of facilitating the accurate landing implementation of town development boundary.

Aspects of the present disclosure provide techniques for automated data classification error correction through machine learning. Embodiments include receiving a set of predicted labels corresponding to a set of consecutive text strings that appear in a particular order in a document, including: a first text string corresponding to a first predicted label; a second text string that follows the first text string in the particular order and corresponds to a second predicted label; and a third text string that follows the second text string in the particular order and corresponds to a third predicted label. Embodiments include providing inputs to a machine learning model based on: the third text string; the second text string; the second predicted label; and the first predicted label. Embodiments include determining a corrected third label for the third text string based on an output provided by the machine learning model in response to the inputs.

The edge block precise cutting and attribution method based on block boundary extension line belongs to the technical field of geographic spatial information processing, and particularly relates to a spatial geometric processing method for automatically dividing the abutting area by using the extension line based on the structural features of the adjacent polygon boundaries; solves the problems of low efficiency, poor precision and difficulty in adapting to the differences in shape, size and boundary direction among different blocks caused by the traditional manual drawing or rule-based division of the boundaries; and the method comprises the following steps: according to the spatial proximity relationship, attributing the divided edge block fragments to the corresponding original block map patches. The edge block precise cutting and attribution method based on block boundary extension line is suitable for application scenarios such as agricultural management, land right confirmation, remote sensing mapping and GIS spatial analysis.

The invention belongs to the technical field of mine communication safety, and discloses a mining wireless communication link access and monitoring system based on deep learning. Multi-dimensional analysis and risk assessment are realized by collecting equipment access behaviors and link state data. Through time sequence request mode intensity analysis, stable characteristics of equipment access behaviors are accurately captured; a behavior association topological graph is constructed, the evolution similarity of equipment tracks is calculated by applying a dynamic time warping algorithm, and group collaboration anomaly is effectively identified; a dynamic compensation mechanism is designed, and the threat recognition model is adaptively optimized based on the pattern matching degree deviation; space-time joint risk analysis is realized, time sequence prediction of a long and short-term memory network and space analysis of graph convolution are fused, and a risk mutation critical point is accurately identified. According to the method, the accuracy of abnormal access behavior identification and the perspectiveness of risk early warning are improved, efficient and stable operation can be kept even in a complex and changeable mine environment, and key technical support is provided for intelligent mine construction.

The invention discloses a static envelope space analysis method of a docking mechanism. The method comprises the following steps: simplifying geometric contour features of an active end and a passive end of the docking mechanism; based on the simplified geometric contour features of the active end and the passive end of the docking mechanism, establishing equivalent mathematical models of the active end and the passive end of the docking mechanism; designing an interference check algorithm of the active end and the passive end of the docking mechanism; and on the basis of the established equivalent mathematical models of the active end and the passive end of the docking mechanism, performing interference check by adopting an interference check algorithm, and performing traversal search in combination with a boundary search algorithm to obtain a translation static envelope space and a rotation static envelope space. By means of the method, the problem that in the prior art, a method for quantifying the capturing and correcting capacity of the docking mechanism is lacked is solved.

The application relates to the technical field of value accounting, and discloses an ecosystem gross domestic product accounting method based on GIS spatial analysis, which comprises the following steps: accounting for regional basic data and satellite image data, constructing a two-way dynamic semantic mapping library corresponding to land change survey block classification-ecosystem type; obtaining Internet of Things monitoring data and statistical report data, performing spatial interpolation-boundary correction and sliding window smoothing space-time fusion to obtain a standardized data set; constructing a double-level accounting index system of urban areas and typical areas, and synchronously calculating physical quantity and value quantity; based on GIS, a model correction factor is called to quantize the index to a grid unit, neighborhood analysis is performed to obtain a result, and after the parameters are calibrated, a multi-year ecological value trend graph is generated in combination with GIS; customized results are output according to scenes such as ecological compensation, and after three-level quality control verification, the final results are output. The application can meet the needs of accounting accuracy and practicability of ecological compensation, EOD projects and the like.

The invention relates to the technical field of geographic surveying and mapping and road maintenance, in particular to a geographic space analysis inspection system, which comprises the following steps of: performing equal-length segmentation on a road according to the length of a mountain road, and calculating a first environmental danger coefficient and a second environmental danger coefficient of the segmented road by adopting a space statistical analysis method; calculating an environment danger level through the first environment danger coefficient and the second environment danger coefficient; various influence data of the road after segmentation are obtained, the target risk degree of the road is calculated in combination with the environmental risk level, the road segments after segmentation are sorted according to the target risk degree, and the unmanned aerial vehicle conducts routing inspection according to the sorting sequence and shoots road video data. And inputting the video data into a highway recognition model to recognize whether cracks and marking colors on a highway pavement are light or defective and whether a safety sign is intact, obtaining the maintenance priority of the current road section according to the features obtained by the image data and the target risk degree of the segmented current road section, and performing corresponding processing according to the priority sequence.

The present application relates to the technical field of coal mine safety production, and specifically discloses a GIS-based intelligent integrated dispatching management system and method for coal mine safety production, which collects multi-source safety production data underground and performs spatial correlation; generates a device health degree vector through feature extraction of time sequence signals; couples the health degree vector with personnel positioning information and spatial topology, and calculates risk space probability distribution by using a probability graph; generates a gradientized optimal dispatching strategy by maximum expected utility calculation according to the distribution and a predefined utility function; dynamically generates a risk heat map based on the strategy and GIS spatial analysis, identifies key areas, generates and simulates verification of device control instructions and personnel hierarchical evacuation channels, and finally executes and forms a closed-loop feedback; the present application realizes intelligent integration of risk accurate judgment, strategy dynamic optimization and spatial closed-loop dispatching, and improves the synergy and response accuracy of coal mine safety dispatching.

The present application belongs to the technical field of geographic spatial information, and particularly relates to a method for determining the permission of a river-related project based on spatial analysis. Based on the spatial analysis technology of a geographic information system, the method calculates the spatial information of a target through intersection analysis, buffer zone analysis, spatial information quantity calculation and other methods, extracts judgment rules based on the relevant regulations of the approval of the permission of a construction project in the management range of a river, and realizes the automatic processing of the entire permission confirmation process by calling the functions in PostgreSQL through a program, so as to simplify the working steps of the staff, ensure the accuracy of the results, improve the approval efficiency of the permission, and be particularly suitable for administrative law enforcement agencies with weak computer programming ability and high work efficiency requirement. The present application also provides a non-transient readable recording medium storing the program of the method and a system containing the medium, and the program can be called by a processing circuit to execute the above method.