TY - GEN
T1 - An Internet of Things-based System Towards Detecting Oil Spills
AU - Khasawneh, Mahmoud
AU - Azab, Ahmad
AU - Alrabaee, Saed
N1 - Funding Information:
The authors would like to acknowledge the design support provided by the students of the computer engineering department in the American university of the Middle East, Kuwait
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Oil fields are a crucial component of the global economy, particularly in the Gulf countries. Various units in these fields, including pipelines, require constant monitoring and maintenance. The trend towards automation using the Internet of Things (IoT) has led to the development of IoT oil field monitoring systems, which can greatly enhance the efficiency of the oil and gas industry by detecting and resolving issues such as oil spills and leakages. This paper proposes the use of an autonomous boat equipped with sensors and a microcontroller to detect oil spills on the water's surface. The boat is equipped with sensitive sensors and a high-resolution camera to locate any oil spill, and if detected, a message containing the image and location is sent to a cloud server. The cloud server is designed based on Blynk cloud and libraries, which analyzes the data received to determine the appropriate course of action. A small prototype of the system was constructed and tested, and the results demonstrated that it is fast and efficient in terms of detection and response times.
AB - Oil fields are a crucial component of the global economy, particularly in the Gulf countries. Various units in these fields, including pipelines, require constant monitoring and maintenance. The trend towards automation using the Internet of Things (IoT) has led to the development of IoT oil field monitoring systems, which can greatly enhance the efficiency of the oil and gas industry by detecting and resolving issues such as oil spills and leakages. This paper proposes the use of an autonomous boat equipped with sensors and a microcontroller to detect oil spills on the water's surface. The boat is equipped with sensitive sensors and a high-resolution camera to locate any oil spill, and if detected, a message containing the image and location is sent to a cloud server. The cloud server is designed based on Blynk cloud and libraries, which analyzes the data received to determine the appropriate course of action. A small prototype of the system was constructed and tested, and the results demonstrated that it is fast and efficient in terms of detection and response times.
KW - Detection
KW - IoT
KW - Oil Spill
UR - http://www.scopus.com/inward/record.url?scp=85168325207&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85168325207&partnerID=8YFLogxK
U2 - 10.1109/ICCNS58795.2023.10193225
DO - 10.1109/ICCNS58795.2023.10193225
M3 - Conference contribution
AN - SCOPUS:85168325207
T3 - 2023 International Conference on Intelligent Computing, Communication, Networking and Services, ICCNS 2023
SP - 197
EP - 202
BT - 2023 International Conference on Intelligent Computing, Communication, Networking and Services, ICCNS 2023
A2 - Quwaider, Muhannad
A2 - Lloret, Jaime
A2 - Angelides, Marios C.
A2 - Jararweh, Yaser
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Intelligent Computing, Communication, Networking and Services, ICCNS 2023
Y2 - 19 June 2023 through 21 June 2023
ER -