Method and device for visual monitoring and assessment of running status of robot

Abstract

The invention discloses a method and device for visual monitoring and assessment of a running status of a robot. The method comprises the steps of collecting a robot status signal and an operating environment status signal based on all sensors and performing preprocessing to obtain preprocessed signals; performing feature extraction on the signals based on time-domain analysis and frequency-domainanalysis; performing fusion processing on feature data of acquired status signals based on the kalman filtering algorithm to obtain a running status feature of the robot; substituting the running status feature of the robot into a status prediction model stored in a status prediction model base and performing prediction processing to obtain a robot status curve; and when the robot status curve being abnormal is judged, visual status early warning information is visually generated based on a Web interface, and pushing the visual status early warning information to a management terminal based on a hyper text transfer protocol (HTTP). The method and device realize real-time monitoring of the robot, and improve the monitoring efficiency.

Description

Technical field [0001] The invention relates to the technical field of robot state evaluation, and in particular to a method and device for visual monitoring and evaluation of the running state of a robot. Background technique [0002] As the density of robots continues to increase, automated, intelligent, and flexible production lines composed of robots are increasingly used in various industrial fields such as welding, spraying, assembly, packaging, handling, and palletizing. The safe, stable, continuous, and reliable operation of the robot will bring considerable economic benefits to the enterprise, and once a long-term shutdown due to a fault will cause inevitable economic losses to the enterprise. [0003] The extensive use of different brands of robots in various complex production environments has brought huge challenges to the daily maintenance of robots; common failure forms of robots include: mechanical system failures, electrical system failures, sensor detection system ...

AI Technical Summary

Problems solved by technology

The robot operation and maintenance mode that relies on single-machine fault alarms or manual inspections has disadvantages such as high maintenance costs and long response times, which are increasingly unable to meet the current actual needs of enterprises.

[0004] At present, domestic robot manufacturers have not yet developed a mature and fully functional robot remote monitoring system. Domestic robots still need to rely on single machine failure alarms or manual inspections for daily monitoring and maintenance; this will greatly increase the required manpower and material resources. investment, and the inefficiency of monitoring and maintenance

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