A General Dataset Generator for Industrial Internet of Things Using Multi-sensor Information Fusion

Abstract

The development of the fifth-generation (5G) communication technology is promoting the overall improvement of the Industrial Internet of Things (IIoT), and is accelerating the pace of the fourth industrial revolution. There lie problems in the IIoT, such as complex industrial field environment and diverse transmission information. It is difficult for us to collect and process massive real-time data for various devices in a timely, reliable, and efficient manner. In order to investigate and mitigate the above problems, we construct a general IIoT Dataset Generator based on a multi-sensor transmission and fusion architecture. The Dataset Generator has advantages such as good privacy, simple development and strong mobility. As an example, we use sound sensors and accelerometers to collect data for industrial scenes. The architecture is also equipped with a mature data preprocessing and visualization scheme. We demonstrate the effectiveness of the IIoT Dataset Generator and the processing algorithms under the considered scenario.