Data-Set and Experimentation Methods for Cyber-Physical LoRa Network

Cyber Physical Systems (CPS) are cutting edge systems which not only deploy optimal controls for a system but also incorporate networking constraints. This enables the system to be realistic and practical. A key issue in such a study is the limited availability of realistic datasets which incorporate both the controls and the networking aspect. This paper investigates the implementation of Cyber-physical Control on a triple counter-current rinse tank used in the electroplating process. Long range (LoRa) transceivers will be used in conjunction with wired conductivity sensor link to send and receive sensor data through a wireless and wired network. Data will be presented from both networks and analyzed. The effects of the wireless network, such as packet loss, time delays, network reliability, will be analyzed, while optimal controls such as the Kalman Filter and Model Predictive Control will be considered to alleviate said effects. A mathematical model is first derived for the rinse tank system then simulated in Simulink software to predict the behavior of the wireless data transmission and implementation of the optimal controls.