Authors: Hrucha G. Nagre, Srushti M. Patil, Hrutvij A. Patil, Mohit C. Patil
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The development of IOT based System for Process Control Loop paper describes the smart process control laboratory where the industrial internet of things (IIOT) concept is applied using a trainer kit at lab scale. Level control trainer implementation and outcomes are discussed along with a case study. The PID control algorithm is used to regulate the tank\'s water level. IIOT, an emerging technology today, added automation and control to the IoT platform, allowing for remote monitoring and control of sensors and actuators. This illustration focuses primarily on home automation and incorporates mobile devices. The system requirements and device difficulties are discussed. The software platform selected is Kodular, which allows mobile devices to communicate with the process computer using the application data dashboard.
The number of control loops used in industry is growing continuously and there are problems in keeping them working at a satisfactory level. Industrial automation has undergone a revolutionary change as a result of the Internet of Things (IoT) quick development of sophisticated control systems. An IoT-based control system offers many advantages, including increased monitoring, intelligent decision-making, and improved overall system performance, in a multi-process control environment where various interconnected control loops operate simultaneously. This introduction outlines the process involved in developing an IoT-based control system for multi-process control loops. According to numerous studies, the performance of feedback controllers in the process industry is unsatisfactory. Poor performance may be caused by both their design and the upkeep of control loops. If maintenance problems are not taken into consideration, a loop that once functioned well is likely to deteriorate over time. The degradation of control loop performance can be attributed to a number of factors, such as faulty machinery, friction or stiction in valves, incorrect valve dimensioning, input saturation, changes in dead time, an inappropriate control structure or algorithm, improper controller tuning or changes in disturbance characteristics, poor sampling time selection, interactions with other loops, etc.
Industrial control systems are engineered and designed to provide control, process monitoring, and functions in manufacturing facilities. trial control systems use control loop systems to ensure that the desired processes and functions are carried out. Control loop systems made up of a number of parts, use programmable software to control a variety of variables in industrial processes in order to increase manufacturing output. The control loop system's individual parts cooperate to manage the industrial process. Machines, instruments, and other equipment used in industrial or manufacturing processes are monitored and controlled by control loop systems.
The system runs the hardware parts and software control operations required to monitor and modify the factors affecting each process. As a process management tool intended to keep the process variable at a desired set point at each step, think of control loop systems. Process variables are a group of programmable parameters used to monitor and regulate a process to keep the output within a predetermined range or quantity. Instrumentation and components of the control loop measure the variable first, react to it, and then control the variable to keep it within a predetermined range.
The Android application utilizes a real-time database (Firebase) for interpreting the sensor data. Google Firebase is a Google-backed application development software used for creating, managing, and modifying data generated from any Android/IOS application, web services, IoT sensors, and hardware. Next is Kodular, which provides the best way to make apps with a simple interface and code, there are many components and options, and also the material design. So, we have designed a Android Application using Kodular.io. using the Firebase Host. Whenever we turn ON/OFF the switches from the App the changes will be updated in the Firebase database.
II. LITERATURE REVIEW
Tools and Technologies used for the Development of IOT-based systems for process control loops are Arduino IDE, Firebase, Controllers, converters, etc.
A. Tools used
B. Technology used
IV. RESULT AND DISCUSSION
The IoT-based control system is anticipated to provide real-time monitoring and control capabilities for multiple processes within the control loop, involving data collection, analysis, and dynamic adjustment of control parameters. Through IoT integration, the control system aims to optimize process operations, leading to increased efficiency, minimized downtime, and improved overall productivity.
The system is expected to enable remote access and management of the control loop, empowering operators and managers to monitor and control processes from remote locations for enhanced operational flexibility and responsiveness. The IoT-enabled system is projected to gather and analyze data from various sensors and actuators, offering valuable insights into process behavior, anomalies, and trends. This analytical approach supports informed decision-making for process enhancements. The IoT-based control system is expected to optimize energy consumption within the control loop, contributing to improved sustainability and cost savings. Integrating IoT devices such as sensors, actuators, and communication modules within the control loop facilitates seamless data exchange and communication between processes and the central control system.
By achieving these expected outcomes and effectively implementing the discussed aspects, an IoT-based control system for a multi-process control loop can significantly boost operational efficiency, decrease costs, and pave the way for a more sustainable and data-driven approach to industrial control and automation.
V. FUTURE SCOPE
Developing a cloud-based architecture for the IoT-based system will provide several advantages. It will enable remote access to the system, facilitate data storage and retrieval, and support centralized control and monitoring. Moreover, cloud-based deployment can leverage the benefits of scalability, reliability, and security provided by established cloud service providers. The IoT-based system should be further customized to address the specific requirements of different industries. This customization can include industry-specific process models, control algorithms, and user interfaces tailored to the unique needs and challenges of each sector. This system will focus on energy efficiency and sustainability aspects. By integrating energy monitoring and optimization features, the system can identify energy-intensive processes, suggest improvements, and enable efficient resource utilization.
Control loops are important for maintaining the stability of a system, and for consistently producing the desired outcome of a process. Hence, we have proposed a system in which the user will have remote access and control over the specific parameters in the process control loop. The project involves using IoT devices like the ESP8266 to control the process control loop from a distance without having to physically be present near the loop. The components include an ESP8266, Arduino Uno, I/V convertor, V/I converter, a battery, etc. We have developed an app using Kodular.io and Google Firebase. The Android application utilizes a real-time database (Firebase) for interpreting the sensor data Thus, we have developed a system that provides remote access to the control system, allowing operators and decision-makers to monitor and control processes from anywhere, at any time.
 N. Vatanskia, S-L. Jämsä-Jounelaa, A. Rantalac, T. Harjub: “Control Loop Performance measure in Evaluation of Process Economics” published in 16th IFAC Triennial World Congress, 2005, Prague  Keck Voon Ling, Kiah Mok Goh: “The Rapid Development of a Closed-Loop Control System.” April 2005.  Dr. B.D Jadhav, Pradeep.R. Jadhav “Industrial Control Process system using IOT”, April 2018.  Alpesh Patel, Rohit Singh, Jignesh Patel, Harsh K Kapadiya: “Industrial Internet of Things based Smart Process Control Laboratory: A Case Study on level Control system” January 2018.
Copyright © 2023 Hrucha G. Nagre, Srushti M. Patil, Hrutvij A. Patil, Mohit C. Patil. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.