25 results about "Regional development" patented technology

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 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 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.

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 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 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 regional development quality comprehensive evaluation method and device based on weight fusion and a medium, and relates to the field of regional development quality assessment, and the method comprises the steps: obtaining multi-dimensional evaluation index data of a to-be-evaluated region, carrying out the data statistics and standardization processing, and obtaining the processed multi-dimensional evaluation index data, an entropy weight method, a CRITIC method and an MAR-IDW method are respectively utilized to determine an entropy weight, a normalization weight and a linear normalization weight of each index; according to the entropy weight, the normalization weight and the linear normalization weight of each index, using an adaptive weight fusion strategy to determine a fusion weight of each index; and according to the fusion weight of each index, determining a comprehensive evaluation index of the to-be-evaluated region by using a TOPSIS method of improving positive and negative ideal solutions based on quantiles so as to determine the development quality of the to-be-evaluated region. According to the invention, more accurate comprehensive evaluation of regional development quality can be realized.

The invention discloses a whole substation updating project establishment optimization method, which comprises the following steps of: determining regional development attributes and updating conditions of a substation, and preliminarily delimiting a project establishment range; calculating the dispersion degree of the operation years of main equipment in the station, and adjusting the project approval tendency according to the dispersion degree; for the transformer substation needing to be further judged, checking the cost difference between capital construction and technical improvement, and judging based on an investment threshold value; generating a target project approval scheme by integrating the area attribute, the equipment dispersion and the cost comparison result; updating is implemented according to scheme classification, and key indexes in the implementation process are dynamically monitored and optimized. According to the method, a standardized quantitative judgment model is constructed by integrating the three dimensions of the regional attributes, the equipment state and the cost, the conversion of project establishment decision from experience judgment to data driving is realized, the scientificity, the economy and the implementation controllability of an updating scheme are improved, and a system solution is provided for power grid asset upgrading.

This invention relates to the field of data processing technology, specifically a regional industrial development analysis and evaluation system. The system includes: determining industry index data and regional reference characteristics within a region to be identified; summarizing the industry index data and regional reference characteristics into a multivariate mapping matrix; applying time series analysis to the multivariate mapping matrix to extract the regional time distribution trend of attribute description indicators and determine the distribution proportion of each attribute description indicator under the regional time distribution trend; based on the distribution proportion of each attribute description indicator, sequentially obtaining hierarchical keywords at multiple levels, and assigning values ​​to regional hierarchical indicators according to each level of keywords; constructing a regional development model; solving for industry evaluation indicators based on the derivation mapping relationship between the regional development model and the multivariate mapping matrix; assessing the asset status of each industry according to the industry evaluation indicators; and outputting early warning information according to the asset assessment status of each region. This improves the accuracy of regional planning and the reliability of early warning prompts.

The invention relates to the technical field of data processing, in particular to a regional industry development analysis and evaluation system, which comprises the following steps of: determining industry index data and regional reference characteristics in a region to be identified, and summarizing the industry index data and the regional reference characteristics into a multivariate mapping matrix; performing time sequence analysis on the multivariate mapping matrix, extracting a regional time distribution trend of the attribute description indexes, and determining a distribution proportion of each attribute description index under the regional time distribution trend; based on the distribution proportion of each attribute description index, obtaining hierarchical keywords of a plurality of hierarchies in sequence, and performing regional hierarchical index assignment according to each hierarchical keyword; constructing a regional development model, solving an industry evaluation index based on a derived mapping relationship between the regional development model and the multivariate mapping matrix, performing asset state evaluation on each industry according to the industry evaluation index, and outputting early warning information according to an asset evaluation condition of each region; and the accuracy of regional planning and the reliability of early warning prompt are improved.

The system according to this embodiment aims to enable local businesses to generate content that effectively conveys the appeal of their products and services. [Solution] The system according to the embodiment comprises a reception unit, an analysis unit, a generation unit, and a proposal unit. The reception unit provides an interface that allows local businesses to teach information to the AI ​​themselves, and also receives information input from a dedicated concierge. The analysis unit analyzes the information received by the reception unit and analyzes the specific challenges faced by local businesses. The generation unit generates stories and content for solving the challenges faced by local businesses based on the challenges analyzed by the analysis unit. The proposal unit generates successful case studies of regional development utilizing the products and services of local businesses based on the content generated by the generation unit.

The invention relates to a multi-region green development effect multi-index evaluation method and system, a medium and equipment, and belongs to the technical field of region development effect evaluation. The scheme mainly comprises the following steps: S1, establishing an evaluation index matrix of green development effect, wherein the evaluation index matrix comprises a plurality of green development evaluation indexes corresponding to a plurality of to-be-evaluated target areas; s2, determining a weight corresponding to each green development evaluation index through an entropy weight method, and obtaining a weighting matrix according to the weights; s3, determining a positive ideal solution and a negative ideal solution; s4, determining a positive Euclidean distance and a positive grey correlation degree between each to-be-evaluated target and the positive ideal solution according to the weighting matrix and the positive ideal solution, and determining a negative Euclidean distance and a negative grey correlation degree between each to-be-evaluated target and the negative ideal solution according to the weighting matrix and the negative ideal solution; and S5, determining the relative closeness of each sample relative to the positive ideal solution and sorting.

The application discloses a method for early-stage business cooperation of key projects, comprising the following steps: 1) collecting current key project information, including project basic information, spatial geographic information, industrial layout information, supporting facility information, environmental impact information and policy and regulation information; 2) constructing a key project map based on the current project information by using a geographic information system; 3) in the project planning stage, planning a key project in line with a regional development strategy based on the key project map; in the project site selection stage, determining a project site selection scheme by considering land utilization, traffic conditions and environmental impact factors based on the key project map; and in the project approval stage, an approval party calls project spatial information and related data in the key project map to approve the project site selection. The application forms a planning leading project generation and key project early-stage business cooperation mechanism, and provides protection for key project spatial resource element management.

The application discloses a land resource optimized utilization system and method based on Internet of Things, relates to the technical field of land resource optimized utilization, and solves the technical problems that the influence of geographical height and wind speed on crops is ignored in the regional optimization of land resources, which further influences the regional optimization, and that the existence of mutual interference of production capacity between the optimized regions is ignored; the application divides intelligent planning regions into a plurality of regulation and control regions, acquires basic data and target data in each regulation and control region, analyzes the basic data and the target data respectively to obtain basic environmental factors and space influence factors of each regulation and control region, inputs the basic environmental factors and the space influence factors into a regional planning model to obtain preliminary planning conditions of each regulation and control region, and adjusts each regulation and control region based on the preliminary planning conditions to obtain final planning conditions, so that the scientificity of planning and the sustainability of regional development can be improved.

The invention discloses an intelligent decision-making method and system for urban industrial layout suitability evaluation, and relates to the field of urban planning regional development, and the method comprises the steps: collecting multi-source heterogeneous data of a target urban region, building a standardized space-time database, and building an initial evaluation factor system based on the standardized space-time database; loading the standardized space-time database to a three-dimensional geographic information unit, and constructing a city multi-agent simulation environment; utilizing a causal inference engine to calculate a causal net effect of the candidate industrial layout scheme on a preset urban index based on historical data in the standardized space-time database, and generating a causal net effect evaluation report; and fusing the real-time data of the initial evaluation factor system, the current state of the urban multi-agent simulation environment and the causal net effect evaluation report to generate a dynamic decision state vector. The crossing from static point location evaluation to dynamic path planning is realized, and the perspectiveness of industrial layout decision making is improved.

This invention discloses an intelligent decision-making method and system for assessing the suitability of urban industrial layout, relating to the field of urban planning and regional development. The method includes: collecting multi-source heterogeneous data of the target urban area to establish a standardized spatiotemporal database; constructing an initial assessment factor system based on the standardized spatiotemporal database; loading the standardized spatiotemporal database into three-dimensional geographic information units to construct an urban multi-agent simulation environment; using a causal inference engine, calculating the causal net effect of candidate industrial layout schemes on preset urban indicators based on historical data in the standardized spatiotemporal database, and generating a causal net effect assessment report; and fusing the real-time data of the initial assessment factor system, the current state of the urban multi-agent simulation environment, and the causal net effect assessment report to generate a dynamic decision state vector. This achieves a leap from static location assessment to dynamic path planning, improving the foresight of industrial layout decisions.

The application provides a bird diversity prediction method and device, belongs to the field of bird diversity prediction, and is applied to an electronic device. The method comprises the following steps: acquiring multi-period land distribution data and regional development trend data of a region to be predicted, wherein the multi-period land distribution data comprises current land distribution data and historical land distribution data; determining future land distribution data of the region to be predicted at a future preset time according to the multi-period land distribution data and the regional development trend data; determining future landscape pattern data of the region to be predicted at the future preset time based on the future land distribution data; and processing the future landscape pattern data by using a bird diversity prediction model to obtain a bird diversity prediction result of the region to be predicted at the future preset time. The accuracy of the bird diversity prediction result can be improved.