1. Remote Process Monitoring and Control Through IIoT
- Author
-
Swetha R Kumar, L. Ashok Kumar, and C S Sangavarthini
- Subjects
0209 industrial biotechnology ,Computer science ,business.industry ,Real-time computing ,Process (computing) ,020206 networking & telecommunications ,Cloud computing ,02 engineering and technology ,Model predictive control ,020901 industrial engineering & automation ,Analytics ,Control system ,0202 electrical engineering, electronic engineering, information engineering ,Data analysis ,Process control ,The Internet ,business - Abstract
Internet functionalities and data-based services are introduced in industrial manufacturing processes to innovate the process control based on the Industry 4.0 standards. In this regard, the vision of the IoT extends to closed-loop control. Sensors connect through control algorithms to actuators, with communication over the cloud. Also, the sensor data accumulated in cloud are utilized for process data analytics. These analytics perform predictive control actions by pattern identification, anomaly detection, and outcome prediction from the raw data, as well to trigger control actions through the application of rules. To demonstrate closed-loop control through the IoT, the level of a nonlinear continuous stirred tank reactor plant is continuously monitored and controlled wirelessly using a Wi-Fi-enabled microcontroller CC3200 (Texas Instruments) through an IoT analytics cloud platform. At every time point, the measured values are automatically updated in the cloud. The performance of the IoT-enabled control system is validated by changing various set points. The main implication of this work is to securely and remotely monitor and control various parameters in industry, universally through Internet affiliation.
- Published
- 2020