TY - GEN
T1 - Development of WSAN on a Prototype Three-Phase Separator Level Control System using LoRa RF Based on IoT
AU - Suvanto,
AU - Juwari,
AU - Darwito, Purwadi Agus
AU - Widjiantoro, Bambang Lelono
AU - Prananda, Sulthan Ariq
AU - Pradana, Dwiki Okvian
AU - Sudrajat, Sapto Wahyu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The separation process in the oil and gas industry occurs in a three-phase separator. The separator needs to be controlled so that the oil production is stable and gets maximum results. In this study, an adaptive PID control system was designed using a neural network, which will adjust the PID adaptively during the separation process. This control system can be controlled remotely because it is designed with a combination of the Wireless Sensor and Actuator Network (WSAN) systems using Long Range (LoRa) modules and Internet of Things (IoT) modules that are integrated with a cloud database system. The system was designed using IEEE 802.15.4g and the HTTP protocol. The results showed that the WSAN communication system with LoRa devices can communicate in real-time at 300 meters with an average delay time of 145ms without pocket loss. When combined with adaptive level control systems using Neural Network-PID (NN-PID), the adaptive level control performs better than the PID Controller. At mixed room level and oil room level, NN-PID is more responsive compared to PID control. NN-PID can dampen oscillations better than PID. However, both controls have the same steady state error. The proposed WSAN design can work well over a long distance and is also stable and reliable in performance.
AB - The separation process in the oil and gas industry occurs in a three-phase separator. The separator needs to be controlled so that the oil production is stable and gets maximum results. In this study, an adaptive PID control system was designed using a neural network, which will adjust the PID adaptively during the separation process. This control system can be controlled remotely because it is designed with a combination of the Wireless Sensor and Actuator Network (WSAN) systems using Long Range (LoRa) modules and Internet of Things (IoT) modules that are integrated with a cloud database system. The system was designed using IEEE 802.15.4g and the HTTP protocol. The results showed that the WSAN communication system with LoRa devices can communicate in real-time at 300 meters with an average delay time of 145ms without pocket loss. When combined with adaptive level control systems using Neural Network-PID (NN-PID), the adaptive level control performs better than the PID Controller. At mixed room level and oil room level, NN-PID is more responsive compared to PID control. NN-PID can dampen oscillations better than PID. However, both controls have the same steady state error. The proposed WSAN design can work well over a long distance and is also stable and reliable in performance.
KW - IoT
KW - LoRa
KW - NN-PID
KW - Three-Phase Separator
KW - WSAN
UR - http://www.scopus.com/inward/record.url?scp=85149179672&partnerID=8YFLogxK
U2 - 10.1109/ICOSNIKOM56551.2022.10034872
DO - 10.1109/ICOSNIKOM56551.2022.10034872
M3 - Conference contribution
AN - SCOPUS:85149179672
T3 - ICOSNIKOM 2022 - 2022 IEEE International Conference of Computer Science and Information Technology: Boundary Free: Preparing Indonesia for Metaverse Society
BT - ICOSNIKOM 2022 - 2022 IEEE International Conference of Computer Science and Information Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2022
Y2 - 19 October 2022 through 21 October 2022
ER -