180 results about "Rurality" patented technology

The invention relates to the technical field of data evaluation processing, in particular to a rural waterlogging area waterlogging risk grade evaluation and early warning method based on multi-source data. The method comprises the following steps: acquiring geographic information, hydrological and flood data and flood control and drainage engineering data of a rural waterlogging area, and performing multi-source data fusion to obtain rural flood multi-source data; and performing river flood overflow calculation on the rural flood multi-source data to obtain river flood overflow data. According to the invention, through a data processing technology, a mode identification technology and a deep learning technology, rural multi-source feature data is subjected to fusion analysis, and risk level evaluation of a waterlogging area and a waterlogging sheet in a rural area is realized; a flood real-time forecasting and early warning model is constructed, when rainstorm occurs or a meteorological department issues rainstorm early warning, the rural flood flooding range is quickly predicted, and a risk avoiding transfer route is planned.

The invention relates to the technical field of three-dimensional modeling, in particular to a rural energy facility rapid modeling method based on three-dimensional laser point cloud. The method comprises the following steps: acquiring point cloud data of energy facilities in a rural area by using three-dimensional laser scanning equipment to obtain point cloud data of the rural energy facilities; performing target identification according to the rural energy facility point cloud data to obtain rural energy facility target data; constructing a three-dimensional model according to the rural energy facility target data to obtain a rural energy facility three-dimensional model; and performing refined modeling according to the rural energy facility three-dimensional model to obtain a rural energy facility refined model. According to the method, the energy facility model with high precision, rich details and complete physical attributes is generated by combining geometric refinement, topological optimization and physical attribute simulation, so that the modeling efficiency is remarkably improved, and technical support is provided for various application scenes such as operation and maintenance management, fault detection and simulation analysis of facilities.

The invention discloses a rural house structure optimization design method and system based on building information modeling, and relates to the technical field of building structure analysis design, and the method comprises the steps: obtaining geographical climate data, building user demand data and construction condition data of a to-be-built rural house; determining a house design variable set according to the acquired data; randomly generating an initial solution according to the value range of each variable parameter in the house design variables to construct an initial population; performing individual optimization on the initial population by using a genetic algorithm, screening individuals according to fitness, performing iterative genetic evolution operation including crossover and variation, and finally determining an optimal individual; and inputting target values of various variable parameters indicated by the optimal individual into a BIM construction module to determine a target BIM model for the rural house. Therefore, genetic algorithm optimization and a BIM modeling technology are organically fused, and the structural safety, the economical efficiency, the construction efficiency and the intelligent level of rural house design are improved.

The invention provides a rural infrastructure three-dimensional modeling method and system based on laser point cloud, and the method comprises the steps: collecting point cloud data at a rural infrastructure site through employing a standing laser scanner, and obtaining the space information of the infrastructure; preprocessing the collected point cloud data; the point cloud data is automatically segmented and processed by using a track extraction technology; performing circle fitting and automatic fine denoising on the segmented point cloud data; correcting the scanning intensity value of the point cloud based on a distance-intensity model; extracting and smoothing the central axis of the rural infrastructure, and providing a basis for the construction of a three-dimensional model; a lining plane image of the rural infrastructure is formed through a three-dimensional point cloud technology, and a basis is provided for texture mapping; rapid browsing and storage of the three-dimensional texture model of the rural infrastructure are realized, and subsequent use and analysis are facilitated. According to the invention, the acquisition and preprocessing process of the point cloud data can be optimized, the data quality is ensured, and the modeling efficiency and precision are improved.

The invention, which relates to the technical field of data analysis, discloses a rural integrated economy data analysis system comprising an acquisition module, a storage module, an analysis module, a risk assessment module and a personalized report generation module. The acquisition module is used for acquiring historical rural integrated economy data and storing the acquired data in the storage module, and the acquisition module is electrically connected with the storage module; the analysis module is electrically connected with the storage module, and the analysis module obtains historical data, analyzes historical laws based on the historical data, mines laws and information in the data, and analyzes trends of rural collective economic income in different years. According to the method, rural integrated economic organizations and related departments can make coping preparations in advance, measures are taken before risks come, loss is reduced, risk coping strategies are scientifically formulated, and powerful data support and analysis are better provided for rural economic decisions.

The invention discloses an educational resource recommendation method and system based on artificial intelligence. The method comprises the following steps: acquiring audio data, interaction data and task data acquired by a user terminal; performing feature extraction on the audio data, the interaction data and the task data to obtain an emotion feature vector, a learning rhythm vector and a content feature vector; inputting the emotion feature vector and the learning rhythm vector into a pre-constructed emotion recognition model to obtain a psychological state vector; the cognitive load is calculated based on the learning rhythm vector and the content feature vector, and then the cognitive load is corrected through the psychological state vector; matching a state interval of the corrected cognitive load according to a preset threshold interval; and according to the state interval, adjusting a difficulty coefficient of the recommended course, rearranging a course content sequence and an auxiliary learning prompt, generating structured data, and outputting the structured data as an intelligent auxiliary learning recommendation result. According to the invention, online learning interactivity and teaching quality in rural and remote areas are effectively improved.

The invention discloses a rural area new energy and charging and storage collaborative planning method considering comprehensive power supply cost. The method comprises the following steps: establishing a time-of-use electricity price sensitivity model of different types of electric vehicles in a rural area; putting forward charging strategies of different types of electric vehicles in rural areas under the driving of the electricity price sensitivity model and multi-temporal-spatial-scale charging load characteristics under different time-of-use electricity prices; establishing an energy storage capacity standby calculation model for promoting multi-time scale self-balancing of the source charging and storage system; an energy storage charging and discharging strategy daily rolling and real-time optimization calculation model and a solving method for promoting new energy consumption and electric vehicle access under the multi-time scale self-balance of the rural source charging and storage system are provided; proposing a new energy and charging and storage collaborative planning optimization model and a solving method taking the minimum comprehensive power supply cost as a target; according to the invention, energy supply in rural areas can be optimized, the power supply cost is reduced, efficient consumption of new energy is realized, and the power supply reliability and economy are improved.

The invention discloses a future grid population distribution prediction method, which comprises the following steps of: a) acquiring fine spatial-temporal scale population data in a historical period, and processing the fine spatial-temporal scale population data in the historical period to obtain a population elasticity coefficient; b) acquiring a ratio of crop yield or water resource quantity of each age in the future to a steady-state value of a reference year, and acquiring an environment variable under the influence of climate change; and c) according to the population elasticity coefficient and the environment variable under the climate change influence, generating future urban population and rural population distribution change based on the shared social economy SSPs and the shared social economy and representative forced path SSPs-RCPs composite scene, and finally synthesizing population distribution change. According to the future grid population distribution prediction method provided by the invention, the influence of the natural environment on the population distribution change is combined on the basis that the social and economic change influences the population distribution change, and the future grid population distribution can be predicted more accurately.

The invention relates to the technical field of remote sensing monitoring, and discloses a rural house building remote sensing dynamic monitoring method and system and computer equipment, and the method comprises the steps: summarizing homestead base basic information survey data, house and land integrated right confirmation registration issuing data, stock disorderly occupied cultivated land house building pattern spot data and land space planning data; obtaining rural building basic data; performing change detection on the remote sensing image of the target monitoring area to obtain a change detection result of the newly-built rural house; comparing with approval information in the rural house building basic data, and determining suspected illegal house building pattern spots; issuing the verification result to patrol personnel through the mobile terminal application for field verification to obtain an illegal house building verification confirmation result; in a preset cloud management platform, the rural house building basic data, the suspected illegal house building pattern spots and the illegal house building verification and confirmation result are visually displayed, and the method improves the accuracy of rural house building change detection and realizes full-process digital management.

The invention belongs to the technical field of real estate right confirmation registration, and discloses a rural house and land integrated right confirmation investigation system and method, and the system comprises a data collection module which obtains image data and auxiliary geographic information data; the data processing module is used for preprocessing the acquired image data; the ownership investigation module is used for investigating and recording ownership information of the house and the land; the data fusion module is used for fusing the geometric data and the ownership data to form a complete house and land integrated data model; the right confirmation registration module is used for carrying out right confirmation registration and generating an electronic ownership certificate; and the data management and display module is used for storing, managing and visually displaying the right confirmation registration data. According to the invention, through multi-source data fusion and intelligent processing, the efficiency and precision of rural house and land integrated right confirmation investigation are improved, and reliable technical support is provided for rural real estate registration.

The invention relates to the technical field of rural e-commerce marketing, and discloses a rural e-commerce precision marketing method based on big data, and the method comprises the steps: dividing user data sets of all regions based on the geographic positions and consumption records of users, including purchase and browsing behavior data; determining a user type according to the purchase frequency and the commodity preference; generating a marketing strategy set and determining an execution sequence; generating recommended commodities and a promotion activity list in combination with user types, stock and the like; and associating the data to generate a precision marketing scheme. The method further relates to user data boundary determination, user type subdivision, marketing strategy dynamic adjustment, consumption potential grade division, personalized recommendation strategy generation, marketing scheme verification and correction and the like. According to the method, accurate classification and regional differentiation marketing of users are realized through big data mining, the strategy is dynamically optimized, the marketing effect and the resource utilization rate are improved, and the method is suitable for accurate operation of a rural e-commerce platform.

The invention relates to the technical field of optical remote sensing image application, and provides a method for extracting a rural residential area and judging the closeness of a building by using tile data, which is used for extracting the rural residential area and judging the closeness of the building by combining map tile data and a deep learning technology, and judging the closeness of the building through tile resolution characteristics and actual characteristics of the rural residential area. 14-level tile images are selected for rural residential area distribution extraction, and after the 14-level tile images are obtained, a model obtained through SegFormer-based training is used for extracting rural residential area distribution; the method comprises the following steps: selecting 18-level tile images to extract rural building distribution, extracting rural buildings by using a model obtained by training based on DeepLabV3 +, and selecting medium-resolution hierarchical images to interpret, thereby improving the precision and efficiency of rural residential area extraction and building density determination.

The invention discloses a multi-objective optimization method, medium and equipment for passenger and goods mail fusion in rural areas, and the method comprises the steps: S1, building a multi-objective optimization model of urban and rural passenger vehicle operation based on the constraint conditions of urban and rural passenger vehicle operation; s2, acquiring operation parameters of urban and rural passenger vehicles and inputting the operation parameters to the multi-objective optimization model; s3, determining and coding values of decision variables involved in the operation optimization process; s4, searching an optimal solution set by using a multi-target genetic algorithm; and S5, adjusting an urban and rural passenger vehicle operation scheme based on the optimal solution set, and departing the vehicle. The urban and rural passenger transport vehicle operation multi-objective optimization model under the passenger-goods-mail fusion is constructed, the optimal decision of the vehicle operation problem of the subject benefits of all parties is met, and the problem that the transport capacity and the transport volume of the passenger-goods-mail in the rural area are not matched and unbalanced is effectively solved.

The differentiated flexible net rack planning method based on high and medium pressure coordination comprises the steps of judging whether a to-be-planned area is a city scene or a rural scene, if the to-be-planned area is the city scene, selecting a first net rack structure, and if the to-be-planned area is the rural scene, selecting a second net rack structure; constructing a plurality of alternative planning schemes based on the selected grid structure in combination with the planning requirements of the power distribution network; constructing a target function by taking the minimum annual comprehensive cost of power grid construction as a target; and screening out a scheme with the minimum annual comprehensive cost of power grid construction from the alternative planning schemes through the objective function. According to the design, a high and medium voltage power distribution network coordination strategy of an urban scene and a rural scene is defined, the flexible adjustment capability of the flexible grid structure is fully exerted, and efficient access of emerging flexible resources such as distributed new energy, energy storage equipment and electric vehicles can be adapted.

The invention belongs to the technical field of residential area ecological evaluation, and particularly relates to a GIS-based hydropower engineering residential area ecological suitability evaluation method. The method comprises the following steps: aiming at the terrain, climate characteristics and social attributes of the residential area of the hydropower project, extracting evaluation factors of ecological suitability of the residential area from multiple aspects of the terrain, the environment, the society, the traffic and the space; adopting an analytic hierarchy process and a Delphi method to analyze the obtained evaluation factors, and constructing a residential area ecological suitability index system; and superposing the spatial data of each evaluation factor by using ArcGIS to obtain a residential area ecological suitability evaluation model, and analyzing the overall ecological suitability of the residential area. According to the method, by obtaining the residential area ecological suitability evaluation model, the relation between hydropower engineering construction and rural residential area development and ecological environment protection can be better evaluated, sustainable development of the regional ecological environment is achieved, and the peaceful industry of reservoir area immigrants is guaranteed.

The invention discloses a rural power grid distributed energy storage double-layer planning method and device considering light-biogas collaboration, and the method comprises the steps: constructing a light-biogas collaboration double-layer planning model containing distributed energy storage access, enabling an upper model to achieve the minimum annual comprehensive cost as a target, carrying out the locating and sizing of the distributed energy storage, and enabling the upper model to be the minimum annual comprehensive cost as a target; the lower layer model takes the feeder line peak valley difference, the voltage stability, the network loss and the voltage deviation as targets to carry out collaborative operation optimization on light, biogas and storage, and finally the bilevel planning model is solved to complete the optimal configuration of energy storage and the operation optimization of the rural power distribution network. According to the scheme, the rural comprehensive energy system is constructed, the safety problems of line overload, voltage bidirectional out-of-limit and the like caused by large-scale disordered access of distributed resources in rural areas and transformation development of rural industrial loads are solved, and the method has great significance in promoting two strategic tasks of new energy system construction and rural revitalization.

The invention provides a cooperative alliance-based rural micro-grid optical storage cooperative configuration method and device, which is suitable for the technical field of power systems, and comprises the following steps: obtaining an optical storage information set of each rural micro-grid in a target cooperative alliance; determining a supply-demand ratio of the target cooperation alliance based on all the optical storage information sets; constructing an upper-layer capacity configuration model based on all the light storage information sets, and constructing a lower-layer daily operation scheduling model based on the supply-demand ratio of each rural microgrid and all the light storage information sets; and obtaining a daily operation scheduling strategy of the target cooperative alliance based on the micro-grid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, and obtaining an optical storage cooperative configuration scheme of the target cooperative alliance based on the daily operation scheduling strategy. According to the method, the constraint condition is obtained through the light storage information set of the rural micro-grids, the light storage collaborative configuration scheme of the cooperative alliance formed by the rural micro-grids is further obtained, and the matching degree of the light storage collaborative configuration scheme and the rural micro-grids is effectively improved.

The invention belongs to the technical field of building group flood influence analysis, and provides a rural building group flood disaster loss assessment method and system for solving the problem that the accuracy of an assessment result is low due to the fact that an existing building flood loss function does not fully consider uncertainty factors in the loss assessment process. The method comprises the following steps: simulating a dynamic evolution process of a flood disaster by adopting a hydrodynamic model to obtain an inundation depth map and a maximum inundation depth map; comparing the submerging water depth map with the SAR image water body extraction data and the social media data to obtain a flood simulation result; combining the building classification information with the maximum submerging depth map to obtain the submerging depth of each building; calculating component information of the building; according to the component information and the submerging depth, building flood vulnerability analysis is carried out, and the total loss of all buildings is determined; and evaluating the effect of the current disaster prevention measure according to the total loss under different disaster prevention measures. The method can provide a scientific basis for building flood loss assessment and disaster prevention decision.

The invention discloses a rural finance-oriented LSTM-auto-encoder hybrid risk early warning method, and particularly relates to the technical field of risk prediction. Rural financial risk event historical sequence features are extracted by using agricultural production cycle and rural policy cycle information, and an agricultural policy drift feature set is formed; according to the method, asynchronous memory state coding of multi-scale features is realized by constructing a multi-window layered long-short-term memory network sub-network, and the multi-scale features are input into an auto-encoder after being subjected to weighted aggregation, so that risk event time sequence reconstruction is completed, and a reconstruction error sequence is obtained; determining a critical threshold value of a reconstruction error by adopting an error sensitive threshold value generation strategy based on causal traceability in combination with a rural financial historical risk real event; and reconstructing an error sequence according to the critical threshold value to implement discrimination, outputting a risk event early warning result, and determining a specific risk category and a corresponding influence factor. Accurate identification and effective early warning of rural financial risks are realized.

The invention relates to the field of digital logistics and rural economy, and provides a dynamic evaluation system and method for collaborative development of digital logistics and rural economy. The system integrates big data, the Internet of Things, artificial intelligence (AI) and a geographic information system (GIS), and aims to realize comprehensive evaluation and optimization of a rural area logistics system and promote efficient fusion and collaborative development of digital logistics and rural economy. The system completes an evaluation task through the following steps: firstly, collecting and sorting basic data related to rural digital logistics, and establishing a data set; secondly, designing and constructing an evaluation model, and performing model training and optimization based on big data and an AI technology; then, deploying the optimized evaluation model to a cloud platform, and carrying out real-time monitoring and evaluation; and finally, the evaluation result is visually displayed, and the logistics system is dynamically optimized.

The invention provides a rural non-point source water quality prediction method and system based on machine learning, and relates to the technical field of machine learning, and the method comprises the steps: obtaining basic data; constructing a pollutant migration path according to the basic data to obtain a dynamic migration network; performing space-time state evolution according to the dynamic migration network to obtain a dynamic graph structure; performing multi-modal feature fusion according to the dynamic graph structure, and quantifying the combined influence of factors such as farmland plots, soil attributes and crop types on the water quality change of the monitoring points by analyzing the dependency relationship of pollutant flux in the graph structure on the space-time dimension to obtain pollution contribution degree features; constructing a prediction function according to the pollution contribution degree characteristics to obtain a water quality prediction function; generating a water quality value based on the water quality prediction function, inputting the real-time environment data into the water quality prediction function, and calculating to obtain a water quality prediction result. According to the method, the accuracy and reliability of water quality prediction in a rural non-point source pollution complex scene are remarkably improved.

The invention discloses a rural area new energy consumption-oriented user side time-of-use electricity price optimization method, which comprises the steps of determining an original daily net load curve according to user side load data and new energy output data of a rural area; clustering the original daily net load curve by using an improved K-means + + algorithm to obtain a typical daily net load curve; carrying out peak-valley period refined division based on the typical daily net load curve to obtain a peak-valley period division result; taking the minimum peak-valley difference rate of the power system in the rural area as a target, constructing a target function with the minimum peak-valley difference rate, and constructing a time-of-use electricity price optimization model in combination with the peak-valley time period division result; and solving the time-of-use electricity price optimization model by using an RODDPSO algorithm to obtain an optimal time-of-use electricity price scheme. Based on this, the method can effectively stimulate the user-side adjustable load to participate in demand response, guides the time-space transfer of the load, and smooths the rural power grid net load curve while improving the new energy consumption.

The invention discloses a rural comprehensive energy network planning method and terminal for rural energy transformation, and the method comprises the steps: building mathematical models of energy supply equipment, energy conversion equipment and energy storage equipment based on a typical structure of a rural comprehensive energy network; in addition, a regulation and control load model considering agricultural production is constructed, a rural comprehensive energy network planning multi-objective function including dimensions of system economic benefits, environmental benefits, energy efficiency and the like is established, and constraint conditions of an energy network planning optimization model are set, so that the rural comprehensive energy network planning optimization model is formed. And carrying out iteration on the capacity of each type of equipment, obtaining the optimal capacity when iteration convergence is carried out, and substituting the optimal capacity into the rural comprehensive energy network planning optimization model to generate a planning scheme. And compared with isolated planning of a power grid and a heat supply network, organic coordination and multi-energy complementation among different energy sources are realized, and the utilization efficiency of rural energy sources is improved.

The invention discloses a rural land planning and construction method fusing multi-source data, and the method comprises the steps: obtaining rural land planning data and a building distribution diagram, and obtaining a cultivated land region and a population gathering region; calculating the distance between the cultivated land area and the population gathering area, distributing a nearest cultivated land area for each population gathering area according to the distance, and outputting the nearest cultivated land area as a cultivated land area to be planned; obtaining remote sensing image data of a to-be-planned cultivated land area, extracting farmland and ridges based on the remote sensing image data, and constructing a shortest path from a population gathering area to each farmland through the ridges; physical parameters and micro-ecological parameters of the ridge are obtained, a labor-saving index of the shortest path is calculated based on the physical parameters, and a planting assistance index of the ridge on the farmland side is calculated based on the micro-ecological parameters; based on the labor-saving index and the planting assistance index, combining with the peasant household body function data of the population gathering area, dynamically distributing the farmland; adaptive farmlands can be recommended for planting according to different body functions of farmers, and reasonable resource allocation is realized.

The invention discloses a rural residential area evaluation method based on a toughness theory. The method comprises the following steps: 1) collecting rural residential area evaluation reference data; 2) calculating a rural residence kernel system toughness evaluation index; 3) calculating the toughness evaluation index of the outer edge system of the rural residential area; 4) performing standardization processing on the rural residential area kernel system toughness evaluation index and the rural residential area outer edge system toughness evaluation index to obtain standardized evaluation indexes; and 5) determining the comprehensive toughness level of the rural residential area based on the standardized evaluation indexes. According to the invention, through overall evaluation of internal and external functional structures of rural residential areas, rural planning is changed from passive constraint to active cooperation, and transformation and upgrading of land space governance from two-dimensional management and control to three-dimensional enabling (space + function + mechanism) are realized. And finally, a benign development pattern that internal functions are used for guaranteeing livelihood base lines and external functions are used for expanding development space is formed.

The invention relates to the technical field of data fusion, in particular to an efficient rural industry fusion development platform system which comprises a resource management module, a technical support and training module, an agricultural special product brand construction module, an industry planning module, a production management module, a marketing promotion module and a cooperation docking module. The resource management module is used for collecting, sorting, analyzing and deploying various resources involved in the rural industry development process; the technical support and training module analyzes agricultural production data, forms a collaborative development pattern by fusing agriculture, processing industry, service industry, popularization and other industrial fields in rural areas, can depend on big data, cloud computing and other modern information technology means, can accurately meet market demands, and has a good application prospect. The method finds a wider sale for local agricultural products, improves the added value of products, and can help farmers and enterprises to obtain market information in real time, optimize production decisions, reduce cost and increase income.

The application relates to the technical field of remote sensing monitoring, and discloses a rural house building remote sensing dynamic monitoring method, a rural house building remote sensing dynamic monitoring system and computer equipment, wherein the method comprises the following steps: collecting homestead basic information investigation data, house and land integrated right confirmation registration and certificate issuing data, stock land occupation for house building graph spot data and national land space planning data to obtain rural house building basic data; performing change detection on remote sensing images of a target monitoring area to obtain new house building change detection results; comparing the new house building change detection results with approval information in the rural house building basic data to determine suspected illegal house building graph spots; issuing a mobile terminal application to patrol personnel for on-site verification to obtain illegal house building verification confirmation results; and performing visual display on the rural house building basic data, the suspected illegal house building graph spots and the illegal house building verification confirmation results in a preset cloud management platform, so that the accuracy of rural house building change detection is improved, and full-process digital management is realized.

This application belongs to the field of network optimization technology, and specifically relates to a method and device for area recognition, a computer-readable medium, and an electronic device. By extracting the measurement report grid data of the area to be recognized, excluding the grid data of urban areas in the measurement report grid data according to the map of the area to be recognized, rural grid data is obtained. Then, the areas that meet the minimum settlement conditions in the rural grid data are aggregated through a clustering algorithm to obtain the rural settlements in the area to be recognized. Using the method of this application, rural settlements can be recognized based on the measurement report grid data, without the need for time-consuming and laborious on-site monitoring by manual labor, and the recognition efficiency is high. Moreover, the rural settlements formed by screening using the minimum settlement conditions in this application can truly reflect the settlement situation in rural areas, the area recognition is accurate, and the wireless network planning can be better realized based on the rural settlements, improving the network coverage of rural people.

We provide the system. [Solution] An online platform for matching businesses in rural areas with specialized engineers concentrated in urban areas, A means of receiving and storing registration information of businesses and technical experts in a database, A means including a generative AI model that receives input of consultation content from businesses and analyzes said consultation content, A matching means that automatically selects the most suitable expert based on the analysis results of the generated AI model, A means to support the selected expert technician in providing advice to the client, A means of collecting feedback from clients and using it to improve the system, A system that includes this.