Academic Journal of Engineering and Technology Science, 2022, 5(11); doi: 10.25236/AJETS.2022.051104.
Tao Chen, Zhi Qiu, Zeyu Xu
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
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.
[1] Jiange Yin, Boming Xu, Xuyao Hao, et al. Design and implementation of intelligent manufacturing system based on cloud service platform. Mechatronics. Vol. 27 (2021) No. 06, p. 35-42.
[2] M. Lekić, G. Gardašević, IoT sensor integration to Node-RED platform. 2018 17th International Symposium INFOTEH-JAHORINA. East Sarajevo, 2018, pp. 1-5.
[3] Zheng Shen, Jianru Liang, Minglai Yang, et al. Design of heavy-duty AGV control system based on S7-200 SMART PLC. Sensors and Microsystems. Vol. 40 (2021) No. 08, p. 100-103.
[4] Xinzhen Zhang, Jiang Ning, Liansheng Deng, et al. Design and application of omnidirectional AGV mobile tightening machine system. Manufacturing Automation, Vol. 44 (2022) No. 02, p. 124-127.
[5] Xiaowei Li. Research on obstacle avoidance system of autonomous driving picking robot based on embedded system. Agricultural Mechanization Research, Vol. 44 (2022) No. 11, p. 201-205.
[6] M. Dares, K. W. Goh, Y. S. Koh, et al. Development of AGV as Test Bed for Fault Detection. 2020 6th International Conference on Control, Automation and Robotics. Singapore, 2020, p.20-23.
[7] V. -T. Ngo, C. -T. Tsai, Y. -C. Liu. Fault Detection and Isolation for Four-Wheel-Driven Omnidirectional Automated Guided Vehicles with Actuator Faults, 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Japan, 2022.p. 750-755.
[8] Jianrong Wang, Bin Chen. Research and design of PLC-based industrial IoT cloud platform. Automation and Instrumentation, Vol. 104 (2022) No. 07, p. 104-107.