Study on an Energy-IoT Service Platform for Energy Saving in Legacy Manufacturing Site

摘要

In this paper, an E-IoT service platform that provides energy saving solutions at legacy factory sites is presented. The E-IoT service platform collects process data through E- IoT module, transfers it to analysis system through E-IoT platform, and predicts power consumption through correlation analysis with process variables in E-IoT analysis system. Among the 1,556 raw material process data collected from paper mills, the largest correlation coefficient between raw material and high voltage power was obtained, and a prediction model for raw material high voltage power was established. With this model, the factory can establish the process plan according to the predicted power range, and the energy simulation model can be created for each process.