Physical Area Grading via Multi-Dimensional Business Information Clustering
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Solution Overview
Problem
Current evaluation strategies for physical areas rely heavily on manpower, leading to high human resource consumption and costs in managing and controlling these areas.
Innovation Solution
An information processing method that automatically evaluates the grade of a physical area by acquiring and clustering business information based on preset dimensions, determining evaluation parameters, and calculating grading parameters, minimizing manpower involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual evaluation methods are used to assess physical areas, then evaluation accuracy can be maintained through human expertise, but human resource consumption and costs increase significantly
Solution Approach 1:
The patent replaces manual evaluation mechanisms with an automated information processing system that uses computers to acquire, cluster, and process business information. The system automatically determines evaluation parameters and grading parameters without requiring human evaluators, thereby substituting mechanical manual work with automated electronic processing to resolve the contradiction between evaluation efficiency and human resource consumption
Solution Approach 2:
The evaluation system performs self-service by automatically acquiring business information from various sources, clustering it according to preset dimensions, determining evaluation parameters, and calculating grading parameters. The system serves itself without external human intervention, transforming the manual evaluation process into an autonomous electronic system that reduces human resource requirements while maintaining evaluation capabilities
2Extent of automation
If automated information processing is implemented to reduce manpower, then labor costs decrease, but system complexity increases
Solution Approach 1:
The patent segments the evaluation system into distinct functional modules: information acquisition module, information clustering module, evaluation parameter determination module, and grading parameter calculation module. Each module handles a specific aspect of the evaluation process independently, making the overall complex system manageable through modular decomposition while achieving high automation levels
Solution Approach 2:
The information processing system is designed with multi-functionality to handle various evaluation scenarios. The same system framework can evaluate different physical areas (buildings, scenic spots, etc.) and different business types (fire safety, medical safety, people flow) by adjusting input parameters and clustering dimensions, thereby achieving high automation across diverse applications without requiring separate specialized systems for each case
Data Source
AI summary
An information processing method and apparatus, an evaluation parameter output apparatus, a system and a medium, which belong to the technical field of information processing. The method includes: acquiring a plurality of business information of a physical area in target business, the plurality of business information including at least information configured to describe states of different facilities in the physical area; clustering the plurality of business information according to a plurality of preset dimensions to obtain dimension information respectively corresponding to the plurality of preset dimensions; acquiring evaluation parameters respectively corresponding to the plurality of preset dimensions; and determining grading parameters of the physical area on the target business based on the plurality of evaluation parameters and the plurality of dimension information, the grading parameters being configured to indicate a grade to which the physical area belongs.