A Systematic Review of Industrial Automation on the Water Level Measurements by Embedded and Open-Source Software

Abstract

In the recent days, industrial automation become an incentive force in all industries. The growing organisations emerge the automation techniques in various applications like manufacturing, constructions, etc. for increasing efficiency and productivity. Every innovation had start from the state-of-art within the respective domain by innovative technologies. Automation technologies like Internet of Things (IoT), Artificial Intelligence (AI), cloud computers and so on. To measure and control water level in the tank is set up by cascaded and coupled mechatronics systems are used to identify, measure and control water level by the sensors. The issues in the water tank is minimized by smart monitoring techniques based on IoT can able to monitor liquid level, pipes leakage and auto control of pumps.Common type components of industrial control system are Supervisory control and data acquisition (SCADA), Programmable logic controllers (PLC), Distributed control systems (DCS), Proportional-integral-derivative controllers (PID) and so on. PID along with PLC is widely used in industries to increase the capabilities by the simulation of MATLAB/Simulink software. The steady-state-error is minimized by increasing robustness in the control algorithm in a closed loop.In this paper, MATLAB simulations and machine learning techniques that are used in water tank system to increase the performance by tracking accuracy and minimize the error are briefly discussed. These are analysed on the basis of water tank system types and other programming environments that are involved in control techniques. The evaluation related to existing methods are studied and the future scope challenges are analysed.