Health monitoring method and system for intelligent building

By deploying sensors in intelligent buildings to collect multidimensional data in real time and using deep learning models for analysis, the problem of untimely building health monitoring in the existing technology is solved, real-time, comprehensive and accurate health assessment is achieved, and the safety and operational efficiency of the building are improved.

CN120408315AActive Publication Date: 2025-08-01INNER MONGOLIA NORMAL UNIVERSITY
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Patent Information

Application Number
CN202510536282.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-27
Publication Date
2025-08-01
Estimated Expiration
2045-04-27

AI Technical Summary

Technical Problem

Existing building health monitoring relies on manual regular inspections and traditional equipment, resulting in untimely data acquisition and lagging information feedback, making it difficult to achieve comprehensive, continuous and accurate building health monitoring.

Method used

By deploying multiple sensors in smart buildings to collect multi-dimensional data in real time, using deep learning models to perform data preprocessing and health analysis, issuing early warning signals, and generating repair plans based on abnormal types to form a closed-loop management system.

Benefits of technology

Real-time, comprehensive assessment and dynamic optimization of building health status is achieved, the accuracy and timeliness of abnormal detection are improved, maintenance costs are reduced, building life is extended, and energy utilization efficiency and personnel safety are optimized.

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Abstract

The invention discloses a health monitoring method and system for an intelligent building, and belongs to the field of building construction health monitoring, and the method comprises the steps: obtaining internal and external multi-dimensional data of the intelligent building in real time through a plurality of sensors, the multi-dimensional data comprising environment data, structure data of the intelligent building, equipment state data and personnel activity data; preprocessing the multi-dimensional data to obtain preprocessed multi-dimensional data; according to the preprocessed multi-dimensional data, a health condition analysis result of the intelligent building is output by utilizing a pre-trained health monitoring model, and the health condition analysis result comprises the suitability degree of environmental conditions, the stability degree of a building structure, the equipment health degree and the risk degree of personnel activities; when the health condition analysis result indicates that the intelligent building is abnormal in health, an early warning signal is sent out; and determining a repair scheme of the intelligent building according to the type of the health abnormality. According to the method, the safety, comfort and management efficiency of the building can be improved.
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