47 results about "Regional development" patented technology

The invention discloses a territorial space planning optimization method and system based on an ecological safety pattern, and relates to the technical field of territorial space planning optimization and ecological safety protection, and the method comprises the steps: carrying out the system collection and preprocessing of multi-source space data, building a space planning optimization mechanism based on the ecological system features and regional development demands, and carrying out the optimization of the territorial space planning. And the spatial relationship among the ecological corridor, the buffer area and the development area is planned as a whole. According to the territorial space planning optimization method based on the ecological security pattern provided by the invention, effective coordination between ecological protection and economic and social development is realized by constructing the territorial space planning optimization method based on the ecological security pattern. By means of an optimized complex mathematical model combining ecological resistance, ecological connectivity, landscape heterogeneity, an ecological buffer area and ecological function compensation, the specific layout of an ecological sensitive area and an ecological corridor is accurately recognized, and the accuracy and the implementation effect of ecological protection measures are greatly improved.

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

The invention relates to the technical field of grid division, and discloses a grid division method and system for a power distribution network region, and the method comprises the steps: achieving the precise analysis of the dynamic adjustment of a city boundary and the land use through the integration of city expansion and land use change data, and the combination of a cabling rate and load density data; the real-time response capability to the multi-region development speed and the power demand is enhanced, the flexibility of the power distribution network is improved, the accuracy of power distribution load trend analysis is enhanced after climate change and historical load data are integrated, so that the substation point location and net rack layout decision is more scientific, and according to the current situation and regional characteristics of the power distribution net rack, the power distribution efficiency is improved. According to the method, the power grid can be finely planned according to the requirements of different regions, such as load saturation and rapid development regions, and the fault response and the overall structure of the power grid are optimized by dynamically adjusting the management direction.

A method, a device, an equipment and a storage medium for accounting product carbon footprint based on ICM are provided. The method comprises: acquiring data of carbon footprint within a predetermined system boundary range on a production line for several times within one period at a predetermined acquisition interval, according to an obtained acquisition instruction, wherein the data of carbon footprint comprises regional development index, utilization rate of green product and recovery rate of recycled material; and accounting the carbon footprint according to the data of carbon footprint and a predetermined accounting formula for carbon footprint, to obtain an amount of carbon emission within the period, wherein the amount of carbon emission is in negative correlation with a carbon right factor obtained according to the regional development index, the utilization rate of green product and the recovery rate of the recycled material.

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

The invention relates to the technical field of resource monitoring and evaluation, discloses a multi-level resource monitoring and evaluation method and system, and aims to solve the problems of incomplete dimension, data island, incomplete feedback and insufficient flexibility of existing regional development monitoring and evaluation. The method comprises the following steps: acquiring integrated multi-source spatio-temporal data, and constructing a unified database; evaluating resource endowment and treatment effect based on the database, and generating a portrait and a report; dynamically adjusting the index weight; executing multi-level evaluation calculation to generate a comprehensive result; result analysis is visualized, and decision support is provided; and dynamically feeding back and optimizing, and proposing policy suggestions. The system comprises a data integration module, a resource endowment evaluation module, a treatment effect monitoring module, an index management module, an evaluation calculation module, a decision support visualization module and a dynamic feedback optimization module. According to the technical scheme, the problems of data islands, incomplete dimensions, complex indexes, insufficient flexibility and incomplete feedback can be effectively solved, and accurate strategy and dynamic optimization of regional high-quality development are realized.

The invention, which relates to the technical field of enterprise innovation assessment, discloses a difference-quantified science and technology enterprise innovation capability assessment method and system, the method comprising: collecting historical innovation point data of high-tech enterprises in each region, establishing an innovation development curve, identifying a region development period, and generating a period correction factor; constructing a dominant feature recognition model, calculating a regional dominant feature value, correcting the feature value according to a periodic correction factor, outputting a benchmark region, establishing a difference weight, constructing an innovation capability quantitative evaluation model, and evaluating the innovation capability of the high-tech enterprise. According to the method, the technical problem that the evaluation result is insufficient in scientificity and accuracy due to the fact that the existing method does not fully consider the regional development cycle difference and the differentiation characteristic of the regional innovation capability is solved, and the purpose of evaluating the regional innovation capability by introducing the regional development cycle correction factor and the differentiation weight is achieved. And the advantage features of each region are accurately identified, the evaluation weight is dynamically adjusted, and the scientificity and accuracy of evaluation are improved.

The embodiment of the invention discloses a city shrinkage identification method based on time sequence population data change point detection, and relates to the technical field of geographic information, and the method comprises the steps: obtaining land utilization space raster data and population space raster data; respectively converting the land utilization space raster data and the population space raster data into matrixes; determining urban land use grids based on the land utilization space matrix, extracting population data from the population space matrix, constructing a one-dimensional population array, and performing smoothing processing to obtain smoothed time series data; identifying change trend abrupt change nodes of the population data based on the smoothed time sequence data, and segmenting each one-dimensional population array; and identifying a population data change trend of the segmented array, and determining a city contraction grid. According to the method, time periods are automatically divided by using change point detection, the starting and ending time of urban contraction can be more objectively identified, and data support can be provided for future urban land evolution simulation and regional development policy formulation.

The invention discloses a GIS-based territorial space planning optimization system and method, and relates to the technical field of Geographic Information System (GIS). Activity data of tourist users are collected to generate a thermodynamic diagram H of tourist activities, the thermodynamic diagram H is fused with GIS data to obtain a hot spot region Rhot, a development potential factor P (r) of each region is calculated in the hot spot region, and the development potential factor P (r) is calculated; therefore, more meticulous and personalized regional development evaluation is realized, the defect of insufficient consideration of tourist behaviors and regional characteristics in a traditional method is overcome, and in the optimization process, the total optimization cost Copt (r) of each region is analyzed and obtained by combining tourist flow and regional conveying capacity information, so that the optimal region development evaluation is realized. According to the method, the problem that the previous planning based on static data and experience cannot flexibly adapt to dynamically changing tourist flow and regional requirements is solved, and the matching degree between regional facility planning and actual tourist requirements is improved, so that more efficient and accurate regional development and resource allocation are realized.

The invention relates to the technical field of data analysis, in particular to an intelligent business environment analysis and decision-making system based on big data, which comprises a type division unit for dividing settled enterprises in an industrial park into manufacturing enterprises and technology research and development enterprises and calculating a ratio, and combining a ratio of a standardized plant area to an office building area in the industrial park to obtain a decision-making result; dividing the industrial park into a manufacturing type industrial park or a technology research and development type industrial park; the park evaluation unit is used for analyzing and calculating a regional development index, a logistics transportation index, a distance influence index and a personnel circulation index; and the matching evaluation unit is used for comparing types between the target enterprise and the target park to obtain a type matching value, and calculating a recommendation value of the target park for the target enterprise in combination with the regional development index, the logistics transportation index, the distance influence index and the personnel circulation index.

The application provides a kind of urbanization threshold determination method based on multi-objective optimization under water resource constraint, which determines water intensity under different efficiency scenarios through panel quantile regression, reduces the subjective setting degree of water demand parameters, and improves the accuracy of water demand parameter identification under different efficiency states.In addition, urban population, added value of the secondary industry and added value of the tertiary industry are taken as decision variables, and a multi-objective optimization function is constructed under the constraints of water resource rigidity, urban development boundary and variable boundary, realizing the collaborative solution of the relationship between urbanization scale expansion and water resource constraint.The scheme determines the urbanization threshold range based on the multi-objective optimal solution set, combined with ideal point distance identification, inflection point identification and marginal cost jump verification, which can more truly reflect the multi-objective trade-off relationship between non-agricultural comprehensive output, water resource pressure and regional development imbalance, and improve the stability and planning applicability of threshold identification.

The invention relates to a general control management system and method for regional development and design. The general control management system comprises a data integration and processing module, a digital twin base module, a plan management module, a spatial analysis module, a general control examination module and a user module. The data integration and processing module is configured to integrate multi-source heterogeneous data and perform cleaning, integration and standardization processing on the integrated multi-source heterogeneous data; the digital twin base module is configured to perform data storage, fusion treatment and visual rendering and provide supporting capability; the plan management module is configured to perform plan decomposition, plan tracking and feedback setting; the spatial analysis module is configured to perform spatial simulation analysis according to the digital twin model; the general control review module is configured to perform review management according to regional design general control standards and processes; the user module is configured to define a use object. Through business function development, important support and management tools are provided for regional development and construction, and the overall management efficiency of regional construction is improved.

This invention discloses an ecological zoning method based on ecosystem service drivers, including: 1) determining the study area, timeframe, and primary ecosystem services; 2) establishing and preprocessing a research database to quantify the value of ecosystem services over multiple years; 3) calculating the correlation between ecosystem services and drivers across different years using a modified Pearson correlation coefficient method to identify the primary drivers; 4) using the response of ecosystem services to the primary drivers to evaluate and calculate the multi-year composite value of different ecosystem service capacities using a weighted approach; 5) using a clustering method to spatially cluster the primary drivers to identify regions with similar characteristics; and 6) integrating and optimizing fragmented patches to obtain the final ecological zoning. This invention precisely delineates ecosystem services from the perspective of the ecosystem service driver-response mechanism, providing a distinctive and scientifically credible basis for regional development and playing a role in coordinating regional trade-offs in development.

The application relates to the technical field of resource monitoring and evaluation, and discloses a multi-level resource monitoring and evaluation method and system, aiming to solve the problems of incomplete dimensions, data islands, imperfect feedback and insufficient flexibility in existing regional development monitoring and evaluation. The method comprises the following steps: acquiring and integrating multi-source spatio-temporal data to construct a unified database; evaluating resource endowment and governance effectiveness based on the database to generate portraits and reports; dynamically adjusting index weights; performing multi-level evaluation calculation to generate comprehensive results; visualizing the results and providing decision support; and dynamically feeding back and optimizing to propose policy recommendations. The system comprises the following modules: data integration, resource endowment evaluation, governance effectiveness monitoring, index management, evaluation calculation, decision support visualization and dynamic feedback optimization. By adopting the above technical scheme, the application can effectively solve the problems of data islands, incomplete dimensions, complex indexes, insufficient flexibility and imperfect feedback, and realize precise measures and dynamic optimization for high-quality regional development.

This invention discloses an offshore oil and gas field regional development system that integrates oil, gas, and water pipeline networks. The development of new oil and gas field blocks comprehensively considers the oil, gas, and water pipeline networks of the region, systematically solving the problems of limited production water treatment capacity of existing platforms and insufficient transportation capacity of external subsea pipelines, which prevent older oilfields from increasing crude oil production through the addition of new adjustment wells or increased fluid production. Simultaneously, by rerouting the logistics of existing subsea pipelines and constructing new mixed-transport subsea pipelines and gas pipelines, a regional gas transmission network is formed, solving the problems of insufficient utilization of associated gas and resource waste and environmental pollution caused by combustion in flare systems.

The embodiment of the application discloses a kind of city shrinkage identification methods based on timing population data change point detection, it is related to geographic information technical field, the method comprises: obtaining land use spatial grid data and population spatial grid data;Land use spatial grid data, population spatial grid data are respectively converted into matrix;Determine town land grid based on land use spatial matrix, extract population data from population spatial matrix, construct to obtain one-dimensional population array, obtain smoothed timing data after smoothing processing;Change trend mutation node of population data is identified based on smoothed timing data, each one-dimensional population array is segmented;Population data change trend of the array after identification is segmented, determine city shrinkage grid.The application uses change point detection to automatically divide period, can more objectively identify the start and end time of city shrinkage, can provide data support for future town land evolution simulation and regional development policy formulation.

We provide the system. [Solution] A data storage means that receives multiple environmental data acquired from a data acquisition device and records them, A data processing means for pre-processing stored data, A prediction model generation means that generates a disaster prediction model using preprocessed data, An energy analysis means that identifies energy consumption patterns using preprocessed data, Based on the aforementioned prediction model and energy consumption patterns, a planning support means is provided to assist in formulating regional development plans. A system that includes this.

The invention relates to the technical field of data processing, in particular to a regional development quality evaluation method and system fusing multi-dimensional data, and the method comprises the steps: obtaining and preprocessing multi-source data related to regional economic coordinated development, so as to extract different data features and form a standardized feature data set; fusing the plurality of feature data sets by using a VGG convolutional neural network to obtain fused index features; clustering the fusion index features through a fuzzy C-means clustering algorithm, extracting a clustering center and calculating a membership matrix to construct an evaluation model; and judging and evaluating the newly acquired multi-source data by using the evaluation model so as to obtain an evaluation result of regional economic coordinated development. According to the scheme, full-process automation from data acquisition, index construction to intelligent evaluation is realized, and scientificity, objectivity and efficiency of an evaluation system are remarkably improved.

The invention provides regulation and control equipment, method and device for regional industry upgrading and a medium, and aims at starting from the RCA index and the industrial technology complexity of a first type of industry during regulation and control of regional industry upgrading and combining the industrial technology association degree between the first type of industry and a second type of industry and the regional scale of a first region. The development status and application prospect of the first type of industry, and the regional development power and regional development direction are fully considered, so that the industrial development can be automatically and flexibly regulated and controlled, and the applicability and reliability of regional industry upgrading can be improved.

The present invention relates to the field of data processing, and more particularly to a method and system for processing regional development factor data. The method comprises the steps of obtaining regional development factor data and constructing a knowledge graph; calculating the macroscopic degree of each value based on the number of subsequent nodes of each value; removing nodes with duplicate values from the knowledge graph to obtain a simplified knowledge graph; iteratively segmenting the simplified knowledge graph based on the macroscopic degree; and encoding the resulting subsets after each segmentation to obtain a multi-layer encoding. This method improves the decoding efficiency of data with a high macroscopic degree.

The invention discloses an artificial intelligence-based geographic surveying and mapping data processing analysis method, which comprises the following steps of: acquiring geographic surveying and mapping data, acquiring a region label by utilizing a region feature recognition model, and establishing a three-dimensional geographic model; performing region division on the three-dimensional geographic model through boundary coordinates, obtaining region tags, obtaining a first development index according to a first mapping relation, obtaining an associated region tag and an associated index according to a second mapping relation, obtaining a distance index according to a third mapping relation, and obtaining a second development index according to the distance index; obtaining a second development index through the correlation index and the distance index, and establishing a development prediction model to obtain a development label set; determining a target development label by using a greedy algorithm, and updating the three-dimensional geographic model; obtaining a regional development ecological value, and carrying out regional ecological early warning; according to the method, accurate prediction is carried out for regional development, a more reasonable and effective development plan is made for geographic regional development, the rationality and convenience of urban layout are improved, and ecological development is guaranteed.

The invention provides a method, a device, an equipment and a storage medium for accounting product carbon footprint based on ICM. The method comprises: acquiring data of carbon footprint within a predetermined system boundary range on a production line for several times within one period at a predetermined acquisition interval, according to an obtained acquisition instruction, wherein the data of carbon footprint comprises regional development index, utilization rate of green product and recovery rate of recycled material; and accounting the carbon footprint according to the data of carbon footprint and a predetermined accounting formula for carbon footprint, to obtain an amount of carbon emission within the period, wherein the amount of carbon emission is in negative correlation with a carbon right factor obtained according to the regional development index, the utilization rate of green product and the recovery rate of the recycled material.

The invention discloses a real estate right survey information management system, which relates to the technical field of information management and comprises a survey information acquisition module, a survey information analysis module, a regional information analysis module, a development recommendation management module and a real estate right database. According to the method, the urban construction development evaluation index and the population inflow evaluation index of the city are analyzed, the development condition of the city is comprehensively analyzed, sufficient analysis of the development condition of the city is ensured, the accuracy of subsequent judgment of the development condition of the city is improved, management of real estate right information investigation is facilitated, and the economic benefit is increased. According to the number of public facilities in the region, the average income of residents and the number of available posts of enterprises, the life quality evaluation index of the region is analyzed, the to-be-optimized region is screened out, it is guaranteed that follow-up screening of the to-be-optimized region is accurate enough, the life experience of the residents is improved, and region development is helped to be more balanced.

The invention relates to a rural regional development state comprehensive measurement method and device and a storage medium, the method is applied to the field of computer technology and rural development technology, and the method comprises the following steps: constructing a six-dimensional characteristic index system of rural regional development state measurement by adopting a multi-level fuzzy comprehensive evaluation model, wherein the driving contribution judgment sub-model comprises a natural climate feature dimension, a regional environment feature dimension, a traffic facility feature dimension, an urban and rural associated feature dimension, a resource endowment feature dimension and an economic development feature dimension, and the driving contribution judgment sub-model integrating the six feature dimensions establishes a rural regional development state six-dimensional comprehensive measurement model. A high-precision curved surface modeling method and a GIS space-time analysis method are used to realize space-time simulation of multi-source heterogeneous feature data corresponding to each feature dimension, and a six-dimensional comprehensive measurement model is used to generate a system measurement result of a rural region development state based on six-dimensional feature space-time simulation data. According to the method, the limitation of a single-dimension or single-region measurement result can be avoided.

This application provides a feature extraction method, apparatus, device, medium, and program product, relating to the field of artificial intelligence technology, for improving the accuracy of extracting features reflecting regional development priorities. The specific technical solution is as follows: acquiring management regulation information of a target city; performing information extraction processing on the management regulation information to obtain a semantic feature description text set and a keyword set corresponding to the management regulation information; determining a first feature set corresponding to the target city based on the semantic feature description text set and the keyword set; the first feature set includes at least one feature vector; based on the correlation between the feature vectors in the first feature set and the target region, determining a second feature set from the first feature set whose correlation with the target region is greater than or equal to a first threshold; the second feature set includes at least one feature vector. This application is applicable to scenarios such as urban management and smart city assessment.

The invention relates to the field of data processing, in particular to a regional development element data processing method and system. The method comprises the following steps: acquiring regional development element data and constructing a knowledge graph, calculating the macroscopic degree of each value according to the number of nodes after each value data, removing nodes with repeated values in the knowledge graph to obtain a simplified knowledge graph, performing continuous iterative cutting on the simplified knowledge graph according to the macroscopic degree, and obtaining the knowledge graph. And after each cutting, the obtained subsets are coded to obtain a multi-layer code. And the decoding efficiency of data with a large macroscopic degree is improved.

The invention relates to the technical field of economic digital evaluation, in particular to a regional economic digital evaluation method and system based on big data analysis, and the method comprises the steps: carrying out the weighted summation of a professional student future growth prediction result and a student region development promotion prediction result, and obtaining a student-region matching analysis result; the scheme has the advantages that a scientific and comprehensive matching basis is provided for the students and the regions, the students can be helped to plan occupations in combination with the regional economic development trend, reasonable regional configuration and talent resource planning are facilitated, economic risks are reduced, and the economic benefit is improved. Core industries are intensively cultivated, and win-win development of students and regions is achieved.

The invention provides a bird diversity prediction method and device, belongs to the field of bird diversity prediction, is applied to electronic equipment, and comprises the steps that multi-stage land distribution data and regional development trend data of a to-be-predicted region are acquired, and the multi-stage land distribution data comprise current land distribution data and historical land distribution data; according to the multi-stage land distribution data and the regional development trend data, determining future land distribution data of the to-be-predicted region at a future preset moment; determining future landscape pattern data of the to-be-predicted region at a future preset moment based on the future land distribution data; and processing the future landscape pattern data by using the bird diversity prediction model to obtain a bird diversity prediction result of the to-be-predicted area at a future preset moment. The accuracy of bird diversity prediction results can be improved.

The invention discloses a cross-regional carbon emission prediction and public effect collaborative distribution method based on model coupling, and relates to the technical field of carbon emission prediction and distribution.The cross-regional carbon emission prediction and public effect collaborative distribution method includes the steps that an extended STIRPAT prediction model is constructed, multi-dimensional dynamic factors such as population, economy and energy structures are integrated, a scene analysis method is introduced, and a time continuity distribution framework is established; dynamic matching of the carbon quota and the regional development stage is achieved, and the policy hysteresis problem caused by lack of a cross-period allocation mechanism in the prior art is solved. According to the method, regional carbon emission responsibility difference is quantified through entropy-CRITIC composite weighting, then an adjustable zero-sum game mechanism is established by adopting a ZSG-DEA model, and dynamic optimization of an efficiency leading edge is realized on the premise of ensuring total amount control.

The invention discloses a land resource optimal utilization system and method based on the Internet of Things, relates to the technical field of land resource optimal utilization, and solves the problem that in regional optimization of land resources, the influence of geographical height and wind speed on crops is neglected, and then regional optimization is influenced. And the technical problem of mutual productivity interference between the optimized areas is neglected. The method comprises the following steps: dividing an intelligent planning region into a plurality of regulation and control regions, and obtaining basic data and target data in each regulation and control region; respectively analyzing the basic data and the target data to obtain a basic environment factor and a space influence factor of each regulation and control region; inputting the basic environment factors and the space influence factors into a region planning model to obtain a preliminary planning condition of each regulation and control region; performing secondary adjustment on each regulation and control region based on the initial planning condition to obtain a final planning condition; according to the method, the scientificity of planning and the sustainability of regional development can be improved.