DAQ-Middleware: Data Acquisition Middleware Based on Internet of Things
Zhijin Qiu, Zhongwen Guo, Shuai Guo, Yingjian Liu, Yu Wang · 2017
With envisioned Industry 4.0, the Internet of Things (IoT) has been widely used in many fields. Unfortunately, the format, type, and access methods of data sources in different areas are diverse, and this makes upper development complex and low efficiency of data acquisition. To address this issue, a novel scalable data acquisition middleware (DAQ-Middleware) is proposed in this paper. Through the design of the architecture model, and the standardization of access methods and interfaces, DAQ-Middleware implements fast access to heterogeneous data sources and provides standardized formatted sensing data for IoT applications. Furthermore, in order to improve the rate of sensor data acquisition, we also propose a parallel data acquisition algorithm and an acquisition efficiency optimization heuristic method. Via the development and application of proposed DAQ-Middleware, this middleware has been validated in the aspect of the rationality, feasibility, development efficiency and data acquisition efficiency. Our results confirm that DAQ-Middleware can achieve the logical isolation between the data sources and the IoT application systems, satisfy the automatic fast access to the heterogeneous data sources, reduce development cost, and enhance data acquisition efficiency.