Abstract
In order to improve the automatic production efficiency and realize the detection data sharing, this study designed and developed an automated throttle motor detection system based on the Internet of Things (IoT) technology. The system was established on the basis of the three-layer architecture of IoT technology, and consisted of the front-end detection device, data transmission device, throttle motor detection data (TMDD) server, and remote management subsystem. The sensors in the front-end detection device were used to sample the throttle motor data and display the data locally, and the TMDD server was used to share the data received from different detection lines. The custom communication protocol was used to encode the detection data and parameters to improve the reliability of data transmission. Compared with most existing detection systems, the proposed detection system performs well on the data acquisition, transmission, data storage and management, and completes the throttle motor factory detection and fatigue detection, which effectively simplify the operation of the system and realize the data sharing and online management of different detection points through local net and Internet.
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