BLE-IOT-PID: Bluetooth Low Energy (BLE) Based IOT Controlled PID Controller for Multi-loop Pilot Plant with Quantum Firefly PSO Optimization

Introduction: Conventional Proportional–integral–derivative (PID) controls for multiloop pilot plants are constrained by wired connections, outdated control techniques, and inefficient real-time data sensing and acquisition. As a result, inefficiencies arise, where control loops for parameters like temperature, level, and flow require continuous dynamic adjustments and precise regulation. To overcome this issue, a full wireless solution is proposed which is the need of today’s era. Method: This study presents a novel PID controller for a multi-loop pilot plant, utilizing a Bluetooth Low Energy (BLE) based Internet of Thing (IoT) system for wireless, real-time data sensing and control. The system gathers data through sensors and sends it to cloud storage via a BLE access point, which is then monitored using a mobile app called BIP. In addition to monitoring, the BIP app serves as a control interface, allowing PID parameters to be adjusted through a Quantum Firefly- Particle Swarm Optimization (QFPSO) algorithm integrated with the ThingSpeak cloud. This enables the control module to function in three distinct modes for the plant’s loops. Users can manually configure PID parameters, as well as temperature and level set-points, while the system automatically regulates the flow set-point based on real-time data. The BLE-based IoT system comprises five modules using Arduino Nano 33 BLE: a Flow Sensor, a Temperature Sensor, a Level Sensor, IoT communication, and an access point. These modules provide more accurate data than traditional sensing systems. Result: Key benefits of the proposed system include wireless accessibility, user-friendliness, a simplified design, ease of upgrades, and consistent control across multiple loops. The proposed system can be easily adapted for various types of industrial control systems with minimal effort. Conclusion: Additionally, the developed wireless sensor node can replace wired sensor nodes in any electronic system.

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Publication Details

Journal
International Journal of Sensors Wireless Communications and Control
Published
2024-12-13
DOI
https://doi.org/10.2174/0122103279350637241107104508
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

BLE-IOT-PID: Bluetooth Low Energy (BLE) Based IOT Controlled PID Controller for Multi-loop Pilot Plant with Quantum Firefly PSO Optimization

Bhaskar Anand, Jayati Deshmukh, Ritesh Tirole
International Journal of Sensors Wireless Communications and Control
Water Quality Monitoring Technologies
article

BLE-IOT-PID: Bluetooth Low Energy (BLE) Based IOT Controlled PID Controller for Multi-loop Pilot Plant with Quantum Firefly PSO Optimization

Bhaskar Anand, Jayati Deshmukh, Ritesh Tirole
article en

Abstract

Introduction: Conventional Proportional–integral–derivative (PID) controls for multiloop pilot plants are constrained by wired connections, outdated control techniques, and inefficient real-time data sensing and acquisition. As a result, inefficiencies arise, where control loops for parameters like temperature, level, and flow require continuous dynamic adjustments and precise regulation. To overcome this issue, a full wireless solution is proposed which is the need of today’s era. Method: This study presents a novel PID controller for a multi-loop pilot plant, utilizing a Bluetooth Low Energy (BLE) based Internet of Thing (IoT) system for wireless, real-time data sensing and control. The system gathers data through sensors and sends it to cloud storage via a BLE access point, which is then monitored using a mobile app called BIP. In addition to monitoring, the BIP app serves as a control interface, allowing PID parameters to be adjusted through a Quantum Firefly- Particle Swarm Optimization (QFPSO) algorithm integrated with the ThingSpeak cloud. This enables the control module to function in three distinct modes for the plant’s loops. Users can manually configure PID parameters, as well as temperature and level set-points, while the system automatically regulates the flow set-point based on real-time data. The BLE-based IoT system comprises five modules using Arduino Nano 33 BLE: a Flow Sensor, a Temperature Sensor, a Level Sensor, IoT communication, and an access point. These modules provide more accurate data than traditional sensing systems. Result: Key benefits of the proposed system include wireless accessibility, user-friendliness, a simplified design, ease of upgrades, and consistent control across multiple loops. The proposed system can be easily adapted for various types of industrial control systems with minimal effort. Conclusion: Additionally, the developed wireless sensor node can replace wired sensor nodes in any electronic system.

International Journal of Sensors Wireless Communications and ControlVol. 15
Sir Padampat Singhania University (IN)
Affordable and clean energy
Openalex Percentile: Top 77%
Water Quality Monitoring Technologies
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