Design and Development of Operation Status Monitoring System for Large Glass Substrate Handling Robot

Xinhe Pu,Xiaofang Yuan,Liangsen Li,Weiming Ji

Published 2022 in IEEE International Conference on Computational Science and Engineering

ABSTRACT

Handling glass substrates is a component of the Flat Panel Display (FPD) industry's back-end process. Giant glass substrate handling robots have been developed in order to handle oversized, fragile, and delicate glass substrates. These robots have high precision, clean, smooth operation, and multi-constrained space requirements. In order to diagnose and maintain the handling robot, it is necessary to obtain accurate and rapid information regarding the defects. Currently, the display industry's actual needs for high-speed operation and a stable manufacturing line cannot be satisfied by manual diagnosis by maintenance engineers due to its inefficiency. This paper designed and developed a remote monitoring system based on the Web Internet platform. The system has the goal of monitoring and diagnosing the high-frequency operation, high reliability, and smooth operation of the large glass substrate handling robot. This system can monitor the running state of the robot in real time, quickly carry out fault alarm and diagnosis, and timely provide a fault warning function, ensuring the safe operation of the robot. It provides a link between companies that manufacture robots and companies that use them, which simplifies the diagnosis and repair of robot malfunctions.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    IEEE International Conference on Computational Science and Engineering

  • Publication date

    2022-12-01

  • Fields of study

    Materials Science, Computer Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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REFERENCES

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