Space intelligence-based device inspection method and system

CN121884476BActive Publication Date: 2026-05-29BEIJING FEIDU TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING FEIDU TECH CO LTD
Filing Date
2026-03-19
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately determine the mapping relationship between physical equipment and digital model systems, making it impossible to adjust the equipment inspection queue through the connections between equipment systems, resulting in low inspection efficiency and insufficient accuracy.

Method used

By grouping equipment models and building models, an equipment inspection queue is generated. Equipment is grouped based on spatial location and correlation. Real-time data processing is performed using semantic recognition and a data collector to generate the equipment inspection queue. The semantic recognition module is then used for training and adjustment to achieve accurate positioning and mapping between the equipment entity and the digital model system.

Benefits of technology

It effectively improves the accuracy and efficiency of equipment inspection, reduces reliance on personal experience, realizes high-precision mapping and real-time adjustment between physical equipment and digital model system, and enhances the adaptability of inspection tasks.

✦ Generated by Eureka AI based on patent content.

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    Figure CN121884476B_ABST
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Abstract

The present application relates to model information processing technical field, especially a kind of equipment inspection method and system based on space intelligence, its method is provided with to generate inspection queue associated chain, when generating associated chain, periodically collect several operating data or several fault data of each equipment, and record according to collection period;According to the connection relationship of each equipment, the basic associated chain corresponding to each equipment is formed. Through the grouping of equipment, the associated equipment is synchronously inspected, which avoids the problem that the traditional inspection method cannot determine the equipment failure caused by system problems, at the same time, the equipment is associated by using merging semantics, which avoids the problem of missing equipment operation or equipment failure caused by subjective judgment, thereby effectively determining the mapping relationship between equipment entity and digital model system, at the same time, by using the above method, the inspection queue of equipment can be adjusted through the connection between equipment systems, thereby effectively improving the accuracy of building equipment inspection.
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