Zhonghai Cheng Files Patent for Predictive Maintenance System for Industrial Robots Utilizing Digital Twins

Zhonghai

China Haicheng (Beijing) Technology Co., Ltd. has applied for a patent for a digital twin-based industrial robot fault prediction and health management system, which allows for a re-evaluation of maintenance judgments before repairs. According to the information from the National Intellectual Property Administration, the patent, titled “An Industrial Robot Fault Prediction and Health Management System Based on Digital Twin“, was filed on April 15, 2026, with the publication number CN122033995A.

The patent abstract reveals that the invention relates to the field of robot fault monitoring technology. It involves organizing data from the industrial robot controller and maintenance terminal, including joint current data, joint temperature data, tracking error data, alarm event data, program segment number data, and maintenance action data, into datasets for operation, maintenance records, and working condition labels. From these, a generated twin baseline set is used to obtain a predicted root cause set, which combines pre-maintenance and post-maintenance parameter sets. This approach allows for the generation of a falsification result set, updated knowledge set, and health conclusion set, based not only on whether alarms have ceased or equipment has resumed operation, but on a re-validation of judgments made before maintenance. The verification results can then be fed back into the subsequent judgment chain.

According to Tianyancha, China Haicheng (Beijing) Technology Co., Ltd., established in 2021 in Beijing, primarily engages in technology promotion and application services. The company has a registered capital of 10.01 million RMB. Analysis from Tianyancha shows that the company has made investments in two other enterprises, participated in eight bidding projects, and has five trademark and patent registrations, along with three administrative licenses.

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