Building economic risk monitoring method, electronic equipment and storage medium
By classifying and analyzing the characteristic data of enterprises within buildings, the economic risks of buildings are assessed, solving the problem of inaccurate risk assessment in existing technologies, achieving precise risk monitoring and assessment, and improving monitoring efficiency and accuracy.
CN121998415APending Publication Date: 2026-05-08SHANGHAI POSTS & TELECOMM DESIGNING CONSULTING INST
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Patent Information
- Application Number
- CN202610034744.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-12
- Publication Date
- 2026-05-08
AI Technical Summary
Technical Problem
Existing technologies make it difficult to accurately assess the risks in the building economy, leading to uncertainty in investment decisions and operational management.
Method used
By classifying and analyzing the characteristic data of the target entity, the completeness of the characteristic data is determined. Using characteristic analysis, adjustment coefficients and similarity calculations, the negative impact value of the entity is assessed, and finally, the building economic risk value is obtained through weighted processing.
Benefits of technology
It enables accurate assessment of risks in the building economy, improves the efficiency and precision of risk monitoring, and provides a guarantee for the stable development of the building economy.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a building economic risk monitoring method, electronic equipment and a storage medium, and the method comprises the steps: determining a first target subject, a second target subject and a third target subject according to the feature data integrity of subject feature data corresponding to each target subject included in a target building; determining a subject negative impact value of the first target subject according to the plurality of subject feature data corresponding to the first target subject; determining a subject negative impact value of the second target subject according to the impact type of the feature field of the subject feature data of the second target subject; according to the similarity between the main body feature data of the same type of main body and the main body feature data of a third target main body, determining a main body negative impact value corresponding to the third target main body; and weighting the subject negative impact value of the target subject and the building negative impact value to obtain a building economic risk value, so as to reflect a real risk condition between the target building and the target subject through the building economic risk value.
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