15 results about "Regional development" patented technology

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 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.

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 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 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 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 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.