Design and Implementation of a Virtual Reality Platform for the Festo Compact MPS Machine

Abstract

The current system for monitoring water quality is manual, monotonous, and time-consuming. This paper proposes a water quality monitoring system based on virtual reality and the digital twin. The goal of this research is to create a virtual reality platform with the Festo compact machine using digital twin technologies to monitor and control the growth of E. coli in the water. MPN is an approach used to determine the presence or absence of microorganisms in each repeat portion of the original sample. IIoT infrastructures are used for integration and establishing a two-way communication protocol. DT gathers information from sensors mounted on actual objects to assess operating conditions, changes over time, and object performance in real-time. This work provides a comprehensive solution for the real-time monitoring and management of E. coli growth in mineral water facilities. The study used previous material to examine and understand the controllable factors that contribute to the proliferation of Escherichia coli in mineral water. The Parameters such as time, temperature, and chlorine dosage are remotely monitored and controlled via the combined VR, IIoT, and DT platforms. VR is used for supervisory control, in which directives and commands are transmitted to the actual station for implementation. Data obtained allowed the creation of an empirical model for the modeling and control of the growth of E. coli in water production plants.