46 results about "Administrative division" patented technology

The invention relates to the field of artificial intelligence, in particular to a rice growth vigor dynamic monitoring method and system based on modal fusion and deep learning. The method comprises the following steps: for a plurality of target regions in the same administrative division, acquiring multi-dimensional agricultural data related to rice growth vigor in each target region; performing space-time fusion on the multi-dimensional agricultural data of the plurality of target areas to obtain a linkage monitoring map; performing rice growth prediction on each target area in the linkage monitoring map through a DSW Transform model to obtain an independent growth prediction result of each target area; a correlation weight is dynamically calculated through a deep learning model of a cross-modal attention mechanism in combination with geographic data, meteorological data and a linkage monitoring map, and rice growth prediction is performed on a rice block formed by linkage of each target area based on the correlation weight to obtain a comprehensive growth prediction result; and pushing rice growth information in each target area to the user according to the independent growth prediction result and the comprehensive growth prediction result.

The invention provides an irrigation district water diversion quantity multistage distribution method under total quantity index constraint, comprising the following steps: dividing an irrigation district into a plurality of calculation units based on an administrative division boundary and a canal system network; respectively calculating the initial water demand of each calculation unit under the living water demand, the industrial water demand, the agricultural water demand and the ecological water demand; based on the initial water demand and according to multiple water resource rigid constraint indexes, performing at least one round of checking and pressure reduction on the initial water demand of each calculation unit to obtain an initial distribution water amount of each calculation unit; and carrying out secondary distribution on surplus water generated after checking and pressure reduction, and compensating the calculation units of which the water demand is not met to obtain the final distribution water of each calculation unit. According to the method, fair, reasonable and efficient distribution of water resources in a complex system with cross coupling of administrative division and canal system networks is realized, and the problems of conflict between a scheme and actual management requirements, water consumption contradiction and the like caused by a traditional single-dimension distribution method are avoided.

The invention discloses a cascade reservoir flood control water level combined application scheduling method and scheduling system, and relates to the technical field of cascade reservoir scheduling, and the method comprises the following steps: dividing into a plurality of sub-regions according to an administrative region, determining a sub-reservoir corresponding to each sub-region, and collecting the rainfall and historical flood discharge data; analyzing the water storage capacity of each sub-region at the moment corresponding to the historical data to form a training data set; constructing a flood season flood discharge prediction model, and obtaining the target flood discharge flowing into the sub-reservoir by using the prediction model; analyzing the water level change in the flood season according to the target flood discharge amount, and judging whether scheduling is needed; and if scheduling is needed, determining a drainage flow combination of each sub-reservoir, setting a constraint condition, and performing optimization through a multi-target genetic algorithm to obtain an optimal drainage flow scheme meeting constraints. According to the scheme, the scientificity, the accuracy and the intelligent level of combined dispatching of the cascade reservoirs are remarkably improved.

The invention discloses an automatic administrative boundary fusion charting method and a meteorological charting method based on a python language. Belongs to the technical field of meteorological charting, and particularly relates to the cross technical field of meteorological data processing and geographic information system visualization. The method starts with the construction of a multi-scale adaptive boundary fusion map, so as to solve the problems of cross-scale (such as province-to-village) precision faults and large interpolation errors of complex terrains, and achieve a cross-level administrative division boundary seamless aggregation technology (village level-town level-county level-province level). Therefore, the problem that precision is easy to lose when cross-scale conversion (such as from province to village) is carried out during meteorological mapping is solved.

This application relates to the field of communication technology and discloses an order processing method, apparatus, device, and storage medium. The method includes: acquiring new order information and historical order information; the new order information includes address information and device information, and the historical order information includes historical address information and historical device information corresponding to service construction sites where installation, dismantling, relocation, or modification has occurred; if the address information is a non-standardized address, the address information is standardized according to an administrative division knowledge base and a table comparing non-standardized and standardized names of units to obtain a standardized address; if the standardized address is a precise address, the new order is determined to be a co-location installation order based on the historical address information and the standardized address. This application improves the detection rate of co-location installation orders by comparing historical order information and new order information of installation, dismantling, relocation, or modification service types to determine whether an order is a co-location installation order.

The application discloses a personalized travel itinerary generation method and system based on multi-agent cooperation and mixed recall. The method receives user travel demand and extracts structured elements, standardizes and locks fuzzy destination into standard administrative division names, and constructs a multi-dimensional personality portrait of the user. A coordinator schedules multiple professional agents to generate candidate locations in parallel. Through a first channel, personalized candidates are generated according to the personality portrait, and through a second channel, high-heat candidates are recalled according to real heat data. The name is de-duplicated and fused, with personality candidates taking priority and heat candidates being supplemented. The number of each source is retained. Then, according to the personality, a differentiated rest rule is generated for time arrangement, and a personalized itinerary containing a map route and source statistics is output. The application combines personalization with reliability and improves generation efficiency through parallel cooperation.

The invention provides a LightGBM-based telecommunication user carrying risk dynamic identification early warning method and system, and the method comprises the steps: obtaining the service behavior data of a user, and determining effective features according to the service behavior data; acquiring data, corresponding to the effective features, of each historical user in the first administrative division to form a training sample set; inputting the training sample set into a LightGBM model for training to obtain a user carrying risk identification model exclusive to the first administrative division; and inputting the data of the effective features corresponding to the user to be identified in the first administrative division into the user carrying risk identification model to obtain a user carrying risk identification result. According to the method, the difference of various effective characteristics such as consumption change and group influence in different regions can be effectively captured, so that the identification precision of the carrying risk of the telecommunication user is improved.

This invention relates to the field of rural economic data analysis technology, specifically an artificial intelligence-based method for rural economic data analysis. The method includes: delineating an economic data perception domain in a geographic information system based on the administrative division vector data of the target administrative village; collecting multi-source heterogeneous economic data through a protocol parser of an agricultural IoT terminal and converting it into standardized economic behavior data; extracting entities using natural language processing technology to generate a structured rural economic behavior fact table; inputting the fact table into a pre-trained economic activity association model and constructing a rural industry relationship graph using a graph embedding algorithm; and calculating the centrality index of economic entities based on the graph topology to identify core operating entities. This method enables accurate processing and association analysis of rural economic data, clearly presenting industry relationships and providing effective technical support for rural economic analysis.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-level administrative unit embedding matching method, device, equipment and medium, and the method comprises the steps: collecting multi-source data, constructing a hierarchical topological structure, generating an embedding representation, and storing the embedding representation in a vector database; analyzing an administrative unit name of an input request, executing embedding matching step by step to obtain a candidate result and a similarity score, and constructing a structured prompt; inputting the structured prompt into the language model, and outputting a standard code and a confidence coefficient; and when the confidence coefficient is lower than a threshold value, marking the result as a to-be-audited result, receiving correction information, extracting a corrected standard code and an alias, and updating the hierarchical topological structure and the vector database. According to the method, through unification of multi-source data, step-by-step embedding matching and confidence feedback correction, dynamic updating of the knowledge base is achieved, and the accuracy and the intelligent level of administrative division mapping are improved.

The invention discloses a dynamic evaluation method and system for sanitary city construction based on multi-source data analysis. The method comprises the steps of completing urban administrative division, constructing a scoring index database, collecting data required by scoring, and periodically obtaining and storing scoring indexes according to time nodes. And dynamically eliminating standard point locations, supplementing new point locations to update the monitoring point locations, and calculating the comprehensive risk value of each administrative region in combination with historical data including problem accumulation, rectification failure and index degradation. Electronic tags are arranged at the repeated problem points, and the sampling frequency is improved; for the indexes with the score rate lower than 75% and the prominent problem point locations, weights are increased, and the evaluation frequency is improved; and reducing the weight of the corrected index. And completing the construction of a closed-loop management module on the basis of a problem point found by evaluation, updating the weight according to a verification result, and finally constructing a visual hotspot map on the basis of data analysis. And a quantitative basis is provided for targeted treatment.

The invention discloses a regional non-rigid grid coding method based on dimension separation, relates to the technical field of grid coding, and aims to develop research on an equidistant grid subdivision coding model oriented to a region in a city scene on the basis of the equidistant grid subdivision coding model. The regional non-rigid grid coding method based on dimension separation is provided, the cell coding method of an existing rigid tree-shaped grid is improved, and the uniqueness of administrative division identification is greatly improved. Aiming at the real situation that global administrative division data is diversified, the structure needs to be more elastic, unique identification of prefecture-level city administrative division data can be achieved through one code under a global grid unified framework, the code has spatial attributes, and range calculation and spatial relation operation can be rapidly achieved through operation of the code.

This application provides a method for intelligent management and processing of administrative division data based on AI technology, belonging to the field of government data governance and spatial information processing. It solves the problem of asynchronous publication of administrative division codes, place names, and administrative division maps. The method includes the following steps: data reading and structure construction; field standardization and data preprocessing; determining whether the division data has been adjusted or changed, and identifying the level, type, and management category of the adjusted data, including data changes caused by level adjustments, type adjustments, management category adjustments, and sorting of divisions within the same level, type, and management category; after change identification, matching the division code data with the division map data using the relationship between different levels of division codes and division map data; this application is applied to administrative division data updates and historical tracing.

The invention provides an agricultural plot-oriented space-time coding construction method and device, and belongs to the crossing field of space geocoding technology and agricultural informationization, and the method comprises the steps: receiving external input data, including agricultural plot vector data, administrative division vector and official coding / updating division data, and remote sensing image / updating image data; determining a core space coordinate point of the land parcel based on the agricultural land parcel vector and the fourth-level and eighth-level Beidou two-dimensional grid construction data; establishing an administrative and grid reference framework of the plot based on the administrative division vector and official coding / updating division data; based on an agricultural information inversion result and a three-tone classification system, time, types and extension attributes of the land parcels are extracted; on the basis of the constructed accurate positioning layer, the spatial reference layer and the attribute information layer data, performing calibration layer code construction, and generating a check code; and integrating all hierarchical codes, completing complete code construction, and outputting a final space-time code.

This invention relates to the field of text processing technology and discloses a school name normalization method based on multi-feature fusion and NLP semantic understanding. The method includes obtaining the text of the school name to be normalized and the corresponding administrative division information; based on the administrative division information, selecting a set of candidate standard schools from a pre-constructed standard school feature library, where each record in the standard school feature library contains at least a standard school name, its administrative division code, and a semantic vector; and performing semantic matching between the semantic vector of the school name text to be normalized and the semantic vectors of each standard school name in the candidate standard school set. This invention aims to solve the problems of data statistics difficulties caused by non-standard school name writing and high mismatch rates due to simple character matching, achieving efficient, accurate, and secure school entity normalization.

The invention discloses a method for determining a collection and distribution range of an express network and related equipment, and the method comprises the steps: converting address information, and obtaining latitude and longitude coordinates corresponding to the address information; constructing a mapping table between the network points and the latitude and longitude coordinates based on the latitude and longitude coordinates and the network points corresponding to the address information; the mapping table comprises dots and latitude and longitude coordinate sets corresponding to the dots; removing the latitude and longitude coordinate set of the lattice points to obtain a latitude and longitude coordinate set after removal; and carrying out contour extraction on the latitude and longitude coordinate set after elimination to obtain a lattice point contour, and determining the lattice point contour as a lattice point collection and distribution range. By analyzing historical mailing data of a user and corresponding longitude and latitude information, a mapping relation between a website and an address is dynamically constructed, so that a traditional defining mode based on static administrative division is replaced. And on the basis, the latitude and longitude coordinate set is subjected to cleaning elimination and contour extraction, so that the actual collection and dispatch range of the express delivery network is accurately determined.

The application provides a method, system, device and medium for screening a region suitable for low-altitude logistics layout, relates to the fields of low-altitude economy and geographic information, and comprises the following steps: acquiring navigation electronic map data, DEM elevation data and administrative division data, calculating the average altitude of each township based on the DEM elevation data and the administrative division data of the whole country to generate a preliminary screening region; calculating the elevation characteristics and slope characteristics of each road in the preliminary screening region by using the DEM elevation data to form a road elevation-slope characteristic data set; calculating the road bypassing coefficient, the number of sharp bends and the convenient accessibility index in the preliminary screening region based on the road elevation-slope characteristic data set and the navigation electronic map data, and constructing a road traffic obstacle index set; and evaluating the road traffic obstacle index set by using the analytic hierarchy process, and screening a region suitable for low-altitude logistics layout according to the evaluation result.

The invention discloses a residence construction management method, device and equipment based on multi-dimensional data integration, relates to the technical field of residence construction management, and aims to solve the problems of house data fragmentation and low cross-department collaboration efficiency. The method comprises the following steps: mapping multi-dimensional data of a house to a gridding architecture according to a legal administrative division hierarchy to obtain gridding binding data including a decision support report, renovation progress data, property credit rating and a house full-cycle digital archive, each grid is bound with a community management unit and a three-level management network comprising a house security officer, a supervision officer of a district to which the house belongs and a full-time cadre of a village and a town to which the house belongs; performing cross-domain analysis on the gridding binding data through a cross-module management platform comprising a visual cockpit module, an under-construction project management module, a property management module and a house safety management module, and generating a management decision instruction; and executing the management decision instruction through the three-level management network, and updating an execution result to the gridding binding database.

The embodiment of the invention discloses an equipment address input method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an input text corresponding to an address input operation in response to the address input operation of to-be-installed equipment; based on a preset administrative division standard database, extracting administrative region information corresponding to the to-be-installed equipment from the input text; according to a word segmentation algorithm, a preset building keyword library and the input text, building information corresponding to the to-be-installed equipment is recognized; based on the administrative region information and the building information, the device address of the to-be-installed device is input into a target database, and according to the scheme, the efficiency and reliability of device address input can be improved.

The application provides a base station position information correction verification method and device, a server and a storage medium. The method comprises the following steps: acquiring the latest administrative division information in the country, marking the original position information of the base station in the region to be verified before correction to obtain an original administrative division, and marking the correction result position information of the base station after correction to obtain a correction result administrative division; filtering the base station by comparing the original administrative division, the correction result administrative division and / or the base station information administrative division in the base station information to obtain an effective base station; determining the absolute advantage administrative division in the region to be verified according to the original administrative division and the correction result administrative division, and correcting the base station information administrative division according to the absolute advantage administrative division to obtain a corrected base station information administrative division; and performing preliminary verification on the correction result according to the correction result administrative division, the corrected base station information administrative division and / or a correction distance threshold.

This invention provides a method, system, and storage medium for predicting and dynamically allocating childcare service personnel demand based on population structure changes. The invention first acquires population-related data and policy-related data by administrative division, constructs a set of scenario parameters to generate a baseline scenario, an optimistic scenario, and a conservative scenario, and determines the parameter value range; for each scenario, it generates childcare service demand prediction results, and outputs personnel demand intervals for different job positions by combining job conversion parameters; based on actual observation data and prediction results, it constructs scenario trigger indicators and determines scenario switching rules, switching to the target scenario output when threshold conditions are met; further, it combines existing personnel status data to generate a dynamic allocation scheme and updates the personnel status data, thereby enabling multi-scenario prediction of childcare service demand under different population change scenarios and achieving dynamic adjustment of personnel allocation, improving the accuracy of childcare service personnel demand prediction and the rationality of allocation.

The present application belongs to the technical field of nuclear radiation field monitoring, and discloses a radiation field and administrative division overlapping design method, which generates a three-dimensional terrain model, performs real-time rendering and optimization on the model, calculates the radiation field grid concentration, and superimposes the radiation field data and GIS administrative region. The present application cross-processes the administrative division boundary data and the radiation field grid data, and gives the administrative division name covered by the radiation field and the affected population number. The influence range and change trend of the radiation field can be more intuitively reflected in the three-dimensional scene. The present application can solve the poor visualization performance problem caused by the fact that the traditional method does not support multi-dimensional display of the radiation field, and provides technical support for nuclear emergency command decision-making under a nuclear accident.

The invention discloses a region display method and device, equipment, a storage medium and a product. The method comprises the steps that a plurality of lower-level map administrative division codes of administrative division codes to be processed are acquired; the lower-level map administrative division code is a national standard administrative division code which is lower than the level of the to-be-processed administrative division code and is used for map service; and obtaining a plurality of administrative regions corresponding to the lower-level map administrative division codes, and displaying the administrative regions as regions corresponding to the to-be-processed administrative division codes. By adopting the embodiment of the invention, the virtual area selected based on the national standard administrative division code can be displayed.

The application provides a watershed control unit automatic demarcation method and device connecting administrative boundaries, relates to the field of watershed division, and comprises the following steps: obtaining initial DEM data and administrative division planar vector data of a target region, constructing a buffer zone according to the administrative division planar vector data, and obtaining final DEM data by clipping the initial DEM data according to the buffer zone; presetting a cumulative flow threshold and a minimum watershed area of the target region, constructing and optimizing a natural watershed vector plane according to the final DEM data, the cumulative flow threshold and the minimum watershed area, and obtaining optimized natural watershed vector plane data; superimposing and calculating the fitting degree of the administrative division planar vector data and the optimized natural watershed vector plane data, and obtaining a preliminary watershed control unit; optimizing the preliminary watershed control unit according to the minimum watershed area, and obtaining a final watershed control unit; and giving fields to the final watershed control unit according to the administrative division planar vector data, and obtaining a demarcation result of the natural watershed and the administrative boundary.

The invention discloses a distributed hash table method and device based on multi-way tree fusion geographic information. Establishing a four-layer multi-way tree structure comprising a national department ND layer, a province PR layer, a city CI layer and a county CO layer based on the geographic position and administrative membership relationship of each node; designing a node ID coding rule based on administrative level information and a random entropy value, and calculating and generating 160-bit node IDs through an SHA1 Hash algorithm; based on the hierarchy of the multi-way tree structure and the node ID logic distance of each node, constructing a mixed addressing table containing G buckets and K buckets; and based on segmented coding of node IDs and the mixed addressing table, determining an addressing level by comparing SegIDs of a target node and a local node in a segmented manner, and realizing positioning and data routing of the target node in combination with binary tree traversal. According to the scheme, the problems of delay and bandwidth consumption caused by the fact that geographic administrative division is not considered in a traditional DHT can be solved.

The invention discloses a method and a system for realizing customization of a natural resource planning and approving workflow, relates to the technical field of natural resource planning and approving, and discloses the method and the system for realizing customization of the natural resource planning and approving workflow. Through automatic space overlay analysis and identification of related administrative divisions, matching of handling personnel and creation of tasks, collection of results and generation of archives, excitation of sub-processes and generation of roll-by-roll ledgers, the problems that a traditional system is complex in manual operation and prone to errors are solved, human errors can be reduced, approval efficiency and approval accuracy are improved, and cross-administrative-region automatic processing is achieved.

The present application relates to the field of administrative data processing, and discloses a kind of multi-level control point surface coupling method and system of forest stock volume, comprising: calling stock volume total index and lower initial statistical data, according to initial distribution proportion decomposes total index to obtain preliminary decomposition and extract total amount of remainder, combine geographic unit resource upper threshold and administrative division code to construct compensation priority sequence, determine whether the sum of preliminary decomposition and unit step remainder satisfies compliance constraint, when satisfying, accumulate remainder and update total, otherwise, keep the value unchanged and pass the remainder to subsequent node, until the total amount of remainder is distributed to determine the approved index, the present application solves the conflict between macro data and micro account legality through compliance logic discrimination and dynamic compensation mechanism, avoids the risk of resource supervision of bottom data node, and guarantees the statistical rigor and audit traceability certainty of administrative data processing system.

The invention relates to the technical field of climate monitoring, in particular to a climate adaptation city monitoring and early warning method, which comprises the following steps: S1, monitoring distribution: taking each administrative region of a city as a division standard, and according to the proportion a of the occupied area of a building in each administrative region to the occupied area of the city, determining the occupied area of the city; marking each administrative region as a first region, a second region and a third region; grids with the length-width ratio of 1: 1 are uniformly distributed in each administrative region, a plurality of circles are drawn with the building center of each administrative region as the circle center, and the intersection points of all the circles and the grids and the intersection points of the grids in the region outside the circles serve as monitoring point positions; arranging climate monitoring sensors at the monitoring points; s2, monitoring and early warning; the method is divided into three types of areas according to the building density, intersection points of grids and circles serve as monitoring points, a dual-coverage network is formed, monitoring blind areas are avoided, global coverage and key area strengthening are considered, and real climate gradient changes can be better reflected.

The application provides a cost management method and system for periodic investigation, wherein the method comprises the following steps: obtaining an investigation task for periodic filling; determining an investigation site for filling the investigation task; counting filling data of an investigation personnel associated with the investigation site in a preset time period to obtain workload of the investigation personnel; and distributing a current calculation cost according to the workload of the investigation personnel to determine a distribution cost corresponding to the workload; the current calculation cost is a cost divided based on a preset fund for the preset time period, and the preset fund is a cost set in advance based on an administrative division of a corresponding level for creating the investigation task in a preset year.

The application discloses a kind of administrative division and city function adaptability evaluation method based on spectral graph theory-GIS coupling, belong to urban space governance technical field.The application is dispersed by rule grid city space, constructs multidimensional function characteristics based on POI data, establishes function similarity weighted graph under spatial adjacency constraint, and endogenous function partition independent of administrative boundary is identified using spectral clustering;Propose function consistency index FCI and function partition integrity index FPI double index system, determine the optimal partition scale by bias function, finally administrative division is divided into four types of structure type and exports differentiated governance suggestion.The application realizes the decoupling identification of function structure and administrative boundary, improves the global coherence of spatial partition, and quantifies multi-scale adaptability, provides reproducible technical support for administrative division optimization and spatial governance, and is suitable for rationality evaluation of administrative division of various cities.

This invention provides a method, apparatus, terminal device, and storage medium for information collaborative governance based on a territorial spatial information model, belonging to the field of territorial information data processing technology. The method performs scope analysis based on the task scope and administrative division map to determine the target administrative regions involved in the territorial spatial data processing task. When multiple target administrative regions are identified, the territorial spatial data processing task is divided into sub-tasks for each target administrative region according to the target administrative region, task data, and task type. The sub-tasks are distributed to preset data processing nodes in each target administrative region. Upon receiving the sub-task processing results of all sub-tasks, the sub-task processing results are integrated to generate the task processing result. Therefore, this invention overcomes the problem of traditional methods being unable to obtain classified data and bypasses data approval processes, meeting the needs of cross-domain projects for efficient, accurate, and compliant cross-domain data collaboration.