63 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.

The invention discloses a multi-level standardized splitting method for detailed addresses, which adopts BERT + CRF technology to accurately split address named entities, utilizes a five-level administrative division address library to check and complement superior and subordinate relationships to ensure the correctness of an address hierarchical structure, and combines a road name library and an address fence technology to improve the accuracy of the address hierarchical structure. According to the method, the geographic range is accurate through regular matching and mixed similarity matching algorithms, the addresses are further verified and complemented by using multi-weight regular segmentation logic and a place name library, and detailed address information which is not limited to house numbers and floor final levels is reserved, so that the complemented address information is ensured to be complete. According to the method, a multi-algorithm fused high-speed matching strategy is combined with an exquisite bidirectional verification and feedback closed-loop mechanism, so that high efficiency is ensured, and meanwhile, the matching accuracy, robustness and logic consistency of address elements (administrative division, roads, interest points and fences) at all levels are remarkably improved.

The invention relates to a power customer address accuracy research and judgment method and system, and belongs to the technical field of address research and judgment, and the method comprises the following steps: obtaining latest standard administrative division data and division codes, and building a standard address database; performing structured preprocessing on the addresses of the power customers, performing step-by-step matching with the addresses in the standard address database according to five-level address systems of provinces, cities, districts, counties, streets and communities, and marking the addresses as abnormal if unmatched levels exist; verifying the power customer addresses marked to be abnormal by adopting an intelligent algorithm, and classifying the power customer address problems according to a verification result; automatically generating a work order according to an address problem classification result, issuing the work order to a power supply unit for field check, and establishing a feedback mechanism to track a governance progress; and intelligent algorithm parameters and verification rules are adjusted according to treatment feedback to improve the research and judgment accuracy.

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 invention provides an automatic division method and device for a drainage basin control unit joining an administrative boundary, and relates to the field of drainage basin division, and the method comprises the steps: obtaining initial DEM data of a target region and administrative division planar vector data, constructing a buffer region according to the administrative division planar vector data, and cutting the initial DEM data according to the buffer region to obtain final DEM data; presetting an accumulated flow threshold value and a minimum watershed area of the target area, and constructing and optimizing a natural watershed vector surface according to the final DEM data, the accumulated flow threshold value and the minimum watershed area to obtain optimized natural watershed vector surface data; performing superposition and fitting degree calculation on the administrative division planar vector data and the optimized natural drainage basin vector surface data to obtain a preliminary drainage basin control unit; optimizing the initial drainage basin control unit according to the minimum drainage basin area to obtain a final drainage basin control unit; and performing field endowing on the final drainage basin control unit according to the administrative division planar vector data to obtain a delimiting result of the natural drainage basin and the administrative boundary.

This invention provides a method for completing address demarcation information based on administrative division boundaries, belonging to the technical field of address information completion or correction. The technical solution includes: organizing boundary data into five levels of national administrative divisions and generating spatial surfaces; supplementing addresses with complete five-level demarcation information through spatial point-surface calculations; constructing a standard address index and address information database; utilizing the Elasticsearch engine for efficient matching; and optimizing query results through weight analysis and similarity calculations; preprocessing the original addresses, including demarcation information extraction, redundant information filtering, and special character processing; and ensuring information timeliness by combining dynamic configuration and the latest demarcation data. Beneficial effects: This invention, by combining spatial technology with text analysis, significantly improves the accuracy and efficiency of address demarcation information completion, effectively solving the problems of incomplete and non-standard address data, and providing reliable technical support for smart city construction and data standardization management.

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 present disclosure provides a method, device and storage medium for processing question and answer information, relating to the technical field of artificial intelligence, in particular the technical field of deep learning, natural language processing and the like. The specific implementation scheme is: in the process of processing a question to be answered, the geographical information corresponding to the question and the location information in the question are obtained, the point of interest information corresponding to the location information is obtained on the administrative division map corresponding to the geographical information, and based on the position information in the point of interest information, the answerer terminal answering the question is obtained, and the answer of the question is determined based on the answer of the answerer terminal. Therefore, through the geographical information and the location information corresponding to the question, the answerer terminal that can accurately answer the question is obtained, and the accuracy of the answer to the question is improved.

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 method and a device for solving data association failure, and relates to the technical field of electronic government data government. Comprising the following steps of: 1, establishing a redundant coding system compatible with standard 12-bit administrative division codes by using a UUIDv4 format, establishing a dynamic mapping relationship between the redundant codes and standard codes according to requirements, and distributing administrative division codes and unique and unchanged redundant codes for each administrative division; the method comprises the following steps: step 1, providing four types of standard operations of adding, changing, cancelling or merging, step 2, performing data publishing by using two channels of REST API and a message queue: notifying the latest administrative division code, the redundant code and the dynamic mapping relationship, and performing real-time synchronization of cross-system data association; according to the method, by establishing a redundant coding system and a dynamic synchronization mechanism, continuous traceability of historical data after zoning change is ensured, and normal operation of an existing service system is maintained at the same time.

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 application relates to the technical field of natural language processing, and particularly discloses a method for extracting cities, administrative divisions and countries based on English address, which comprises the following steps: inputting English address text data, using a pre-trained BERT model to fuse LSTM to perform binary classification of institutions and addresses, performing data preprocessing on the address data, performing data analysis on the processed address data, matching according to the analysis result, outputting the matching result according to the level after the matching is completed, and using the method of pre-processing and matching the regional level dictionary and the standard document through the rule to solve the problem that the cities, administrative divisions and country texts of the English address text data of the scientific research literature cannot be accurately extracted when the rule is matched, the level is disordered and noise exists; and the problem that the cost of manually constructing a training data set is high when a machine learning model is used is also solved.

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 embodiment of the invention provides an address processing method and a related device, and the method comprises the steps: carrying out the level recognition of an address field contained in a first address, and obtaining the administrative division level of the address field; a standard address field set corresponding to the administrative division hierarchy is inquired in an address library according to the administrative division hierarchy; querying a first standard address field corresponding to the address field in the standard address field set, and constructing a second address based on the first standard address field; determining a position identification value corresponding to a second standard address field contained in the second address in the first address; and calculating an address weight of the second address according to the position identification value, and determining a third address in the second address based on the address weight. By adopting the embodiment of the invention, the reliability of the third address can be improved.

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 relates to the technical field of geographic event materialization, and provides an administrative division-oriented geographic event entity generation method, which comprises the following steps of: firstly, collecting administrative division geographic events to form administrative division geographic event data; then, a template is set to describe the administrative division geographic events according to attributes and classes, and the attributes contained in the template have hierarchical structures and change factors; and finally, matching the administrative division geographical events with classes under each attribute in the template, and filling the successfully matched geographical events into the template. According to the method, when the template is constructed, the logic inclusion or parallel relation between the classes under different attributes is considered, the relation between the entities is visually and clearly reflected, complex processing on information in a geographic event data set is avoided, and the calculation amount is reduced.

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 invention relates to an entity coding method and system based on digital twinning, a terminal and a medium, and relates to the field of digital twinning, and the method comprises the steps: obtaining an administrative division code of a target entity, the administrative division code being used for representing an administrative region corresponding to the target entity; generating a spatial hash code according to the position of the target entity; generating an entity type code according to the type of the target entity; collecting the current UTC time to obtain a timestamp; and splicing the administrative division code, the spatial hash code, the entity type code and the timestamp according to a preset sequence to obtain an entity code corresponding to the target entity, the entity code being used for binding associated data of the target entity to a digital twin model. The method and the device have the effect of improving the entity coding efficiency.

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.