Building operation and maintenance management method and intelligent robot

By using intelligent robots to simultaneously collect infrared thermal imaging and visible light data, combined with perspective transformation matrices and historical data, the problem of low accuracy in traditional utility tunnel inspection systems has been solved. This enables the identification of cable thermal imbalance areas and quantitative assessment of the impact of structural defects, thereby improving the accuracy of early warnings.

CN122175210APending Publication Date: 2026-06-09SHENZHEN GEMDALE BUILDING ENG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN GEMDALE BUILDING ENG CO LTD
Filing Date
2026-02-05
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional utility tunnel inspection systems suffer from incomplete coverage, high equipment installation costs, and difficult maintenance. Furthermore, infrared temperature measurement and visible light inspection data are independent of each other, making it impossible to establish a correlation between cable heating and structural defects in the utility tunnel, resulting in low monitoring accuracy.

Method used

An intelligent robot is used to move above the RFID tag to read its spatial coordinates. Simultaneously, an infrared thermal imaging module and a visible light camera are triggered to collect temperature and grayscale matrices, calibrate reference points on the cable surface, and achieve pixel-level registration through perspective transformation matrix and bilinear interpolation. The correlation between the defect location and the cable heating effect is calculated, and the temperature difference benchmark value is dynamically updated in combination with historical inspection data to construct a comprehensive risk index.

Benefits of technology

It improves the accuracy of early warning, avoids environmental interference and false alarm problems caused by static thresholds, and realizes the identification of cable thermal imbalance areas and quantitative assessment of the impact of defects in pipe gallery structures.

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Abstract

The application relates to the technical field of building intelligent operation and maintenance, and discloses a building operation and maintenance management method and an intelligent robot. The method comprises the following steps: S1: an intelligent robot moves above an RFID radio frequency tag to read a space coordinate, and simultaneously triggers an infrared thermal imaging module and a visible light camera to collect a temperature matrix and a gray matrix; S2: a cable surface reference point, a pipe gallery wall surface reference point, a lamp reference point and a copper bar reference point are calibrated in the gray matrix and the temperature matrix, and the correlation degree of a defect position affected by cable heating is calculated; S3: a dynamic temperature difference reference value of the same defect position is calculated by extracting historical inspection data, and a comprehensive risk index is solved according to the dynamic temperature difference reference value, a defect area ratio, the correlation degree and a temperature difference growth rate. The application solves the problem of space mismatch between temperature data and structure information, improves the accuracy of early warning, and avoids the problems of environmental interference and false alarm caused by a static threshold.
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