TY - GEN
T1 - V-IoT
T2 - 6th International Forum on Research and Technology for Society and Industry, RTSI 2021
AU - Okafor, Kennedy Chinedu
AU - Longe, Omowunmi Mary
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Hydraulic distribution systems (HDS) are widely used in the Mechatronics industry to drive manufacturing machines, heavy-duty vehicles, equipment, and distribute fluids automatically with control valves and pipelines/horses. The absence of smart sensors, valves, and cylinders hinder the reporting of real-Time state information about hydraulic motion controllers and pipeline networks. Legacy HD lacks active and structured communication protocols like Ethernet-IP. Unfortunately, these hydraulic flow systems are poorly designed during large-scale deployment at both residential and industrial areas. Cases of leakages and failures still abound. In some cases, there are no reference standards for IoT integration with fluid flow systems. In this paper, Volumetric IoT (V-IoT) sensors are introduced to monitor hydraulic flow systems leveraging route genetic algorithm. A state diagram for leakage amplitude monitoring is presented. Considering its node-To-node connectivity for steady-state monitoring, the enhanced V-IoT, with Genetic and Fibonacci algorithms offered leakage amplitude of 23.07%, 30.77%, and 46.16% respectively.
AB - Hydraulic distribution systems (HDS) are widely used in the Mechatronics industry to drive manufacturing machines, heavy-duty vehicles, equipment, and distribute fluids automatically with control valves and pipelines/horses. The absence of smart sensors, valves, and cylinders hinder the reporting of real-Time state information about hydraulic motion controllers and pipeline networks. Legacy HD lacks active and structured communication protocols like Ethernet-IP. Unfortunately, these hydraulic flow systems are poorly designed during large-scale deployment at both residential and industrial areas. Cases of leakages and failures still abound. In some cases, there are no reference standards for IoT integration with fluid flow systems. In this paper, Volumetric IoT (V-IoT) sensors are introduced to monitor hydraulic flow systems leveraging route genetic algorithm. A state diagram for leakage amplitude monitoring is presented. Considering its node-To-node connectivity for steady-state monitoring, the enhanced V-IoT, with Genetic and Fibonacci algorithms offered leakage amplitude of 23.07%, 30.77%, and 46.16% respectively.
KW - Automation
KW - Distributed Intelligence
KW - Genetic Algorithm
KW - Volumetric Internet of Things (V-IoT)
UR - http://www.scopus.com/inward/record.url?scp=85123222849&partnerID=8YFLogxK
U2 - 10.1109/RTSI50628.2021.9597258
DO - 10.1109/RTSI50628.2021.9597258
M3 - Conference contribution
AN - SCOPUS:85123222849
T3 - 6th International Forum on Research and Technology for Society and Industry, RTSI 2021 - Proceedings
SP - 412
EP - 417
BT - 6th International Forum on Research and Technology for Society and Industry, RTSI 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 September 2021 through 9 September 2021
ER -
