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Academic Journal of Engineering and Technology Science, 2022, 5(11); doi: 10.25236/AJETS.2022.051104.

Design of AGV Fault Diagnosis Data Acquisition System Based on Cloud Platform


Tao Chen, Zhi Qiu, Zeyu Xu

Corresponding Author:
Tao Chen

School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu, China


With the development of industrial Internet of Things technology, online fault diagnosis system has become an important part of remote operation and maintenance. Aiming at the problem that the AGV online fault diagnosis system requires higher real-time data, more data volume and faster transmission rate, this paper proposes a cloud platform-based AGV fault diagnosis data acquisition system. The system uses the STM32 single-chip microcomputer to collect the sensor data carried by the AGV, uses the wireless WIFI module to upload the data to the cloud server, and finally saves the data to the cloud database after conversion and verification, which provides a test platform for the Web remote real-time monitoring and online fault diagnosis system. By building an AGV test platform to conduct experiments, the results show that the throughput rate of the system is 90PPS, and the packet loss rate is within 0.1%. The system can meet the data requirements of the online fault diagnosis system, and has good real-time performance and stability.


Automatic Guided Vehicle (AGV), Cloud platform, Data acquisition

Cite This Paper

Tao Chen, Zhi Qiu, Zeyu Xu. Design of AGV Fault Diagnosis Data Acquisition System Based on Cloud Platform. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 11: 26-32. https://doi.org/10.25236/AJETS.2022.051104.


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