Anomaly data management method and system for industrial robot

By combining data from monitoring sensors and cameras, and calculating the matching degree between operational data and abnormal trajectories, the problem of high monitoring costs for industrial robots is solved, and accurate monitoring at low cost is achieved.

CN118181295BActive Publication Date: 2026-07-24SHANDONG SUPERIOR INTELLIGENT EQUIP TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG SUPERIOR INTELLIGENT EQUIP TECH CO LTD
Filing Date
2024-04-23
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing industrial robot monitoring methods are independent and costly. How can we reduce monitoring costs while ensuring the accuracy of data monitoring?

Method used

A visual recognition process based on the existing monitoring system is introduced. By receiving operational data fed back from monitoring sensors, abnormal moments are located. Combined with motion video acquired by cameras, the matching degree between operational data and abnormal trajectories is calculated to determine the extension interval and store relevant data.

Benefits of technology

While reducing identification costs, the accuracy of monitoring was maintained. By introducing a matching degree calculation process, the accuracy requirements of the identification method were reduced.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of intelligent management of industrial equipment, and particularly discloses an abnormal data management method and system for an industrial robot, which comprises the following steps: receiving operation data fed back by a monitoring sensor built in the industrial robot, positioning an abnormal moment according to the operation data; positioning a camera according to the installation position of the industrial robot, establishing a connection channel with the storage space of the camera, and reading a motion video with the abnormal moment as the center; identifying the motion video to obtain an abnormal trajectory; calculating the matching degree of the operation data and the abnormal trajectory, determining an extension interval according to the matching degree, and obtaining and storing the operation data, the motion video and an operation process based on the extension interval. On the basis of original identification, the visual identification process based on an existing monitoring system is introduced, the precision requirement of the two identification modes is reduced through the introduction of the matching degree calculation process, and the identification cost is reduced.
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Citation Information

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