Analysis on Industrial Internet of Things (IIoT) Using Convolutional Neural Network Based Model Based Engineering

In this paper, a Convolutional Neural Network based model based engineering (CNN-MBE) is an integrated designed that is built to implement the plant level controller workflow with cloud based Industrial Internet of Things (IIoT). The study is used to combine the cloud storage facilities with IoT data acquisition for optimizing the energy consumption due to poor reference signal generation at the plant level controller. The entire operation depends on the maximum voltage level for pumping operation in plant level controller. The CNN-MBE optimizes the entire workflow to produce the maximum voltage level for the pumping operation. It solves the problems associated with the task of optimisation and the simulation confirms the effectiveness of the integrated MBE in cloud.