Research on Data Acquisition Method of Industrial Edge Devices and Systems Based on Edge Computing
Bo Xu, Jianfu Cao, Feng Chen, Yan Huo · 2024
With the development of intelligent manufacturing in the context of Industry 4.0, more and more data from industrial sites is urgently required to be collected and analyzed accordingly. However, faced with multiple heterogeneous devices and different types of on-site systems, factors such as diverse protocol types, large data volumes, and tight on-site debugging time have caused difficulties in obtaining data from industrial equipment. This article proposes a universal framework for data acquisition of industrial field equipment and systems, and designs a flexible and configurable method for data acquisition based on this framework. To achieve this method, a data acquisition tool called Digital Acquisition Tool(DATool) has been designed and developed. Finally, this article established a simulation experimental environment and implemented data acquisition and processing on devices within Modbus protocols. The experiment proves that this method is convenient and effective in data acquisition.