Urban and rural community life circle public service facility data processing and configuration optimization method
By constructing a professional knowledge base through grid partitioning and graph retrieval to enhance the generation mechanism, and combining intelligent agent collaborative simulation and multi-dimensional hierarchical sampling, the technical bottleneck in the configuration of public service facilities in urban and rural community living circles has been solved, achieving full coverage, quantifiable consensus and executable planning optimization.
Patent Information
- Application Number
- CN202610405121.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-31
- Publication Date
- 2026-04-28
- Estimated Expiration
- 2046-03-31
AI Technical Summary
Existing technologies for configuring public service facilities in urban and rural community living circles suffer from limitations in spatial modeling and sampling mechanisms, insufficient participant construction and sample representativeness, difficulties in applying professional knowledge and integrating unstructured knowledge, and a lack of decision-making convergence mechanisms and consensus quantification methods. These limitations result in insufficient scientific rigor and fairness in planning, making it difficult to achieve full coverage and refined requirements.
A professional knowledge base is constructed by using grid partitioning and graph retrieval to enhance the generation mechanism, generating a list of residents' needs and resources. Through collaborative simulation between planner agents and resident agents, multi-dimensional hierarchical sampling is carried out by combining mobile phone signaling and population census data to construct negotiation units for multi-stage collaborative simulation and consensus assessment, and output an optimized list of needs and action blueprint.
It achieved continuous spatial coverage across the entire region, reproducibility and quantifiable consensus of data and decision-making, improved the scientific nature and fairness of the planning, ensured the quantifiability of the public participation process and the enforceability of the results, and formed an action plan that can be directly used for the further development of subsequent plans.