Research Article | Open Access | Download PDF
Volume 13 | Issue 4 | Year 2026 | Article Id. IJECE-V13I4P101 | DOI : https://doi.org/10.14445/23488549/IJECE-V13I4P101Development of Programmable Logic Controller-Based Instruments for Remote Pipeline Monitoring: Recent Trends and Future Prospects
Pankaj Mohindru
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 04 Jan 2026 | 03 Feb 2026 | 02 Mar 2026 | 30 Apr 2026 |
Citation :
Pankaj Mohindru, "Development of Programmable Logic Controller-Based Instruments for Remote Pipeline Monitoring: Recent Trends and Future Prospects," International Journal of Electronics and Communication Engineering, vol. 13, no. 4, pp. 1-19, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I4P101
Abstract
Pipelines are an essential means of long-distance transportation, and they must meet significant standards for efficiency, reliability, and safety. A pipeline leak or burst could have a serious negative effect on the atmosphere and the reputation of the corporation running the pipeline. The industries need more versatile, efficient, and reliable control systems in order to automate the pipeline system by minimizing leaks during transportation. One of the essential elements of Industrial Control Systems (ICS) is Programmable Logic Controllers (PLCs) for automating gas/oil pipeline control and water management. This study mainly emphasizes the critical evaluation of the performance of several leak detection and control strategies provided for pipelines carrying diverse types of fluids. In recent years, cyber-attacks on PLCs have increased, and they have had a negative impact on the ICS process, including service interruption, component impairment, human safety risks, and interrelated economic complications. This study provides an overview of the various control methods in the pipeline and investigates their benefits, limits, and performance. Finally, this study finishes with prospective future enhancements based on the results and restrictions of the available literature, which will be useful to academics and engineers in the field.
Keywords
Remote Pipeline Monitoring, Leakage Detection, Programmable Logic Controllers PLC, Hardware-Based Methods, Software-Based Methods, Cyber Security.
References
- Mohammed S. BenSaleh et al., “A Review on Wireless Sensor Network for Water Pipeline Monitoring Applications,” 2013 International Conference on Collaboration Technologies and Systems (CTS), San Diego, CA, USA, pp. 128-131, 2013.
[CrossRef] [Google Scholar] [Publisher Link] - E.B. Priyanka, S. Thangavel, and Xiao-Zhi Gao, “Review Analysis on Cloud Computing based Smart Grid Technology in the Oil Pipeline Sensor Network System,” Petroleum Research, vol. 6, no. 1, pp. 77-90, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Mutiu Adesina Adegboye, Wai-Keung Fung, and Aditya Karnik, “Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches,” Sensors, vol. 19, no. 11, pp. 1-36, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Hongfang Lu et al., “Leakage Detection Techniques for Oil and Gas Pipelines: State-of-the-art,” Tunnelling and Underground Space Technology, vol. 98, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Siyu Shao et al., “Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning,” IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2446-2455, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Harshit Shukla, and Kalyan Piratla, “Leakage Detection in Water Pipelines using Supervised Classification of Acceleration Signals,” Automation in Construction, vol. 117, pp. 1-53, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Liang Ren et al., “Pipeline Corrosion and Leakage Monitoring based on the Distributed Optical Fiber Sensing Technology,” Measurement, vol. 122, pp. 57-65, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Thang Bui Quy, Sohaib Muhammad, and Jong-Myon Kim, “A Reliable Acoustic EMISSION-Based Technique for the Detection of a Small Leak in a Pipeline System,” Energies, vol. 12, no. 8, pp. 1-18, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Thang Bui Quy, and Jong-Myon Kim, “Leak Detection in a Gas Pipeline using Spectral Portrait of Acoustic Emission Signals,” Measurement, vol. 152, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Jinzhe Gong et al., “In-Pipe Fibre Optic Pressure Sensor Array for Hydraulic Transient Measurement with Application to Leak Detection,” Measurement, vol. 126, pp. 309-317, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Wen Hao Png et al., “Pipeline Monitoring and Leak Detection using Loop Integrated Mach Zehnder Interferometer Optical Fiber Sensor,” Optical Fiber Technology, vol. 46, pp. 221-225, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Jun Yan et al., “Application of Ground Penetrating Radar in Reservoir Leakage Detection in Complex Geological Areas,” IOP Conference Series: Earth and Environmental Science: 6th International Conference on Green Materials and Environmental Engineering, Changsha, China, vol. 706, pp.1-9, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Pierre Carrive et al., “Exploiting Ground-Penetrating Radar Signal Enhancements by Water-Saturated Bulb Surrounding Defective Waterpipes for Leak Detection,” Geosciences, vol. 12, no. 10, pp. 1-13, 2022.
[CrossRef] [Google Scholar] [Publisher Link] - Xinghao Tian et al., “Leakage Detection of Low-Pressure Gas Distribution Pipeline System based on Linear Fitting and Extreme Learning Machine,” International Journal of Pressure Vessels and Piping, vol. 194, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Boxiang Liu, Zhu Jiang, and Wei Nie, “Application of VMD in Pipeline Leak Detection Based on Negative Pressure Wave,” Journal of Sensors, vol. 2021, pp. 1-19, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Shen Tian et al., “A Study on a Real-Time Leak Detection method for Pressurized Liquid Refrigerant Pipeline based on Pressure and Flow Rate,” Applied Thermal Engineering, vol. 95, pp. 462-470, 2016.
[CrossRef] [Google Scholar] [Publisher Link] - Guoxi He et al., “A Method for Simulating the Entire Leaking Process and Calculating the Liquid Leakage Volume of a Damaged Pressurized Pipeline,” Journal of Hazardous Materials, vol. 332, pp. 19-32, 2017.
[CrossRef] [Google Scholar] [Publisher Link] - Petro D. Ndalila et al., “Modeling Dynamic Pressure of Gas Pipeline with Single and Double Leakage,” IEEE Sensors Journal, vol. 21, no. 9, pp. 10804-10810, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Ahmad Malekpour, and Yuntong She, “Real-time Leak Detection in Oil Pipelines using an Inverse Transient Analysis Model,” Journal of Loss Prevention in the Process Industries, vol. 70, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Hao Zhang et al., “An Unsupervised Leak Detection Method with Aggregating Prediction and Reconstruction Along Projection Pathway for Natural Gas Gathering Pipelines,” Process Safety and Environmental Protection, vol. 179, pp. 275-289, 2023.
[CrossRef] [Google Scholar] [Publisher Link] - Kiran Joseph et al., “Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review,” Water, vol. 15, no. 11, pp. 1-19, 2023.
[CrossRef] [Google Scholar] [Publisher Link] - Swapnil Arun Namekar, and Rishabh Yadav, “Programmable Logic Controller (PLC) and its Applications,” International Journal of Innovative Research in Technology, vol. 6, no. 11, pp. 372-376, 2020.
[Google Scholar] - Naga Venkata Saidileep Korlapati et al., “Review and Analysis of Pipeline Leak Detection Methods,” Journal of Pipeline Science and Engineering, vol. 2, no. 4, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link] - Shantanu Datta, and Shibayan Sarkar, “A Review on Different Pipeline Fault Detection Methods,” Journal of Loss Prevention in the Process Industries, vol. 41, pp. 97-106, 2016.
[CrossRef] [Google Scholar] [Publisher Link] - B.M.S. Arifin et al., “A Novel Data-Driven Leak Detection and Localization Algorithm using the Kantorovich Distance,” Computers & Chemical Engineering, vol. 108, pp. 300-313, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Dina Zaman et al., “A Review of Leakage Detection Strategies for Pressurised Pipeline in Steady-State,” Engineering Failure Analysis, vol. 109, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Nauman Aziz, Shujaat Ali Khan Tanoli, and Faiza Nawaz, “A Programmable Logic Controller Based Remote Pipeline Monitoring System,” Process Safety and Environmental Protection, vol. 149, pp. 894-904, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - E. N. Aba et al., “Petroleum Pipeline Monitoring using an Internet of Things (IoT) Platform,” SN Applied Sciences, vol. 3, pp. 1-12, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Manel Elleuchi et al., “Water Pipeline Monitoring and Leak Detection using Soil Moisture Sensors: IoT based Solution,” 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD), Istanbul, Turkey, pp. 772-775, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Danial Waleed et al., “An In-Pipe Leak Detection Robot with a Neural-Network-Based Leak Verification System,” IEEE Sensors Journal, vol. 19, no. 3, pp. 1153-1165, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Beenish Bakhtawar, and Tarek Zayed, “Review of Water Leak Detection and Localization Methods through Hydrophone Technology,” Journal of Pipeline Systems Engineering and Practice, vol. 12, no. 4, pp. 1-38, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Zhaoming Zhou et al., “Experimental Study on Distributed Optical-Fiber Cable for High-Pressure Buried Natural Gas Pipeline Leakage Monitoring,” Optical Fiber Technology, vol. 53, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Mohamed Gamal et al., “Utilizing Ground-Penetrating Radar for Water Leak Detection and Pipe Material Characterization in Environmental Studies: A Case Study,” Remote Sensing, vol. 15, no. 20, pp. 1-24, 2023.
[CrossRef] [Google Scholar] [Publisher Link] - Yavuz Ege, and Mustafa Coramik, “A New Measurement System using Magnetic Flux Leakage Method in Pipeline Inspection,” Measurement, vol. 123, pp. 163-174, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Jae Cheol Lee, You Rak Choi, and Jai Wan Cho, “Pipe Leakage Detection using Ultrasonic Acoustic Signals,” Sensors and Actuators A: Physical, vol. 349, pp. 1-9, 2023.
[CrossRef] [Google Scholar] [Publisher Link] - Songling Huang et al., “Characteristics of T(0, 1) Guided-Wave Point-Focusing Electromagnetic Acoustic Transducer for Pipe Inspection,” IEEE Sensors Journal, vol. 20, no. 6, pp. 2895-2903, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Guanyu Piao et al., “A Novel Pulsed Eddy Current Method for High-Speed Pipeline Inline Inspection,” Sensors and Actuators A: Physical, vol. 295, pp. 244-258, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Meric Yilmaz Salman, and Halil Hasar, “Real-time Pipeline Monitoring with FSR Sensors: An IoT Wireless Sensor Network Approach to Multi-Leak Detection,” Water Practice & Technology, vol. 20, no. 12, pp. 2849-2861, 2025.
[CrossRef] [Google Scholar] [Publisher Link] - Lijia Luo et al., “Monitoring of Abnormal Conditions of Underground Pipelines using Fiber-Optic Vibration Sensing and Deep Learning,” International Journal of Pressure Vessels and Piping, vol. 217, 2025.
[CrossRef] [Google Scholar] [Publisher Link] - Abdul-Basset A. Al-Hussein et al., “PLC Implementation and Dynamics of a V/Heart-Shape Chaotic System,” Dynamics, vol. 5, no. 4, pp. 1-20, 2025.
[CrossRef] [Google Scholar] [Publisher Link] - Joel Smith et al., “Pipeline Rupture Detection Using Real-Time Transient Modelling and Convolutional Neural Networks,” Proceedings of the 2018 12th International Pipeline Conference, Calgary, Alberta, Canada, vol. 3, pp. 1-10, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Juan Li et al., “A Novel Location Algorithm for Pipeline Leakage based on the Attenuation of Negative Pressure Wave,” Process Safety and Environmental Protection, vol. 123, pp. 309-316, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Lei Yang, and Qing Zhao, “A Novel PPA Method for Fluid Pipeline Leak Detection Based on OPELM and Bidirectional LSTM,” IEEE Access, vol. 8, pp. 107185-107199, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Abdulfattah M. Obeid et al., “Towards Realisation of Wireless Sensor Network-based Water Pipeline Monitoring Systems: a Comprehensive Review of Techniques and Platforms,” IET Science, Measurement & Technology, vol. 10, no. 5, pp. 420-426, 2016.
[CrossRef] [Google Scholar] [Publisher Link] - Ephrem Ryan Alphonsus, and Mohammad Omar Abdullah, “A Review on the Applications of Programmable Logic Controllers (PLCs),” Renewable and Sustainable Energy Reviews, vol. 60, pp. 1185-1205, 2016.
[CrossRef] [Google Scholar] [Publisher Link] - Ralf Huuck, “Semantics and Analysis of Instruction List Programs,” Electronic Notes in Theoretical Computer Science, vol. 115, pp. 3-18, 2005.
[CrossRef] [Google Scholar] [Publisher Link] - Laurence Crestani Tasca, Edison Pignaton de Freitas, and Flávio Rech Wagner, “Enhanced Architecture for Programmable Logic Controllers Targeting Performance Improvements,” Microprocessors and Microsystems, vol. 61, pp. 306-315, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Laurence Crestani Tasca, Edison Pignaton de Freitas, and Flávio Rech Wagner, “A Study on the Performance Impact of Programmable Logic Controllers based on Enhanced Architecture and Organization,” Microprocessors and Microsystems, vol. 76, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - ZuXun Wang, “Design of Gas Drainage Pipe Network Regulation and Control System based on PLC,” Journal of Physics: Conference Series: 4th International Conference on Energy Systems and Electrical Power, Hangzhou, China, vol. 2310, pp. 1-6, 2022.
[CrossRef] [Google Scholar] [Publisher Link] - Hashim A. Hussein, Abdzahraa J. Aleeby, and Zahraa M. Mahdi, “Improving the Performance of the Pump Station in Pipeline Transportation System using PLC Controller and Remote Monitoring,” IOP Conference Series: Materials Science and Engineering: 1st International Conference of Electromechanical Engineering and its Applications, Baghdad, Iraq, vol. 765, pp. 1-11, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - ZuXun Wang, “Design of Gas Drainage Monitoring System Based on Siemens S7-1500 PLC and WinCC,” Journal of Physics: Conference Series: International Conference on Intelligent Dynamics and Control Technology, Guilin City, China, vol. 2283, pp. 1-7, 2022.
[CrossRef] [Google Scholar] [Publisher Link] - Ande Venuprasad, and Yeole Shivaraj Narayan, “Automatic Monitoring and Controlling of Pressure using PLC and SCADA,” International Journal of Innovative Research in Science, Engineering and Technology, vol. 5, no. 7, pp. 13671-13677, 2016.
[Google Scholar] [Publisher Link] - Murat Ayaz, and Hüseyin Yüksel, “Design of a New Cost-Efficient Automation System for Gas Leak Detection in Industrial Buildings,” Energy and Buildings, vol. 200, pp. 1-10, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - EB Priyanka, C. Maheswari, and B. Meenakshipriya, “Parameter Monitoring and Control During Petroleum Transportation using PLCbased PID Controller,” Journal of Applied Research and Technology, vol. 14, no. 2, pp. 125-131, 2016.
[CrossRef] [Google Scholar] [Publisher Link] - E. B. Priyanka, C. Maheswari, and S. Thangavel, “Online Monitoring and Control of Flow Rate in Oil Pipeline Transportation System by using PLC-based Fuzzy‐PID Controller,” Flow Measurement and Instrumentation, vol. 62, pp. 144-151, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - E. B. Priyanka, C. Maheswari, and S. Thangavel, “Remote Monitoring and Control of LQR-PI Controller Parameters for an Oil Pipeline Transport System,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 233, no. 6, pp. 597-608, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Jeffry Adityapriatama, Sastra Kusuma Wijaya, and Prawito Prajitno, “PLC-Based Fuzzy Logic Controller for Flow Rate Control in Water Pipelines,” 2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE), Denpasar, Indonesia, pp. 79-84, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Burhanuddin Ahmad, and Prawito Prajitno, “Design of Neural Network and PLC-based Water Flow Controller,” Journal of Physics: Conference Series: 4th International Seminar on Sensors, Instrumentation, Measurement and Metrology, Padang, Indonesia, vol. 1528, pp. 1-6, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Alessandro Di Pinto, Younes Dragoni, and Andrea Carcano, TRITON: The First ICS Cyber Attack on Safety Instrument Systems, Black Hat USA, pp. 1-26, 2018.
[Google Scholar] [Publisher Link] - Ralf Spenneberg, Maik Brüggemann, and Hendrik Schwartke, “Plc-Blaster: A Worm Living Solely in the Plc,” Black Hat Asia, vol. 16 pp. 1-16, 2016.
[Google Scholar] - Johannes Klick et al., “Internet-facing PLCs as a Network Backdoor,” 2015 IEEE Conference on Communications and Network Security (CNS), Florence, Italy, pp. 524-532, 2015.
[CrossRef] [Google Scholar] [Publisher Link] - Kai Yang et al., “An Effective Intrusion-Resilient Mechanism for Programmable Logic Controllers against Data Tampering Attacks,” Computers in Industry, vol. 138, 2022.
[CrossRef] [Google Scholar] [Publisher Link] - Nauman Zubair et al., “PEM: Remote Forensic Acquisition of PLC Memory in Industrial Control Systems,” Forensic Science International: Digital Investigation, vol. 40, pp. 1-10, 2022.
[CrossRef] [Google Scholar] [Publisher Link] - Abubakar Sadiq Mohammed et al., “Detection and Mitigation of Field Flooding Attacks on Oil and Gas Critical Infrastructure Communication,” Computers & Security, vol. 124, pp. 1-12, 2023.
[CrossRef] [Google Scholar] [Publisher Link] - Andres Robles-Durazno et al., “PLC Memory Attack Detection and Response in a Clean Water Supply System,” International Journal of Critical Infrastructure Protection, vol. 26, pp. 1-18, 2019.
[CrossRef] [Google Scholar] [Publisher Link] - Mehmet Akif Özgül, Sevki Demirba, and Seyfettin Vadi, “A Hybrid Machine Learning Approach for Cyberattack Detection and Classification in SCADA Systems: A Hydroelectric Power Plant Application,” Electronics, vol. 15, no. 1, pp. 1-27, 2025.
[CrossRef] [Google Scholar] [Publisher Link] - Mustafa Tahsin Yilmaz et al., “Non-local Attention Enhanced Deep Learning for Robust Cyberattack Detection in Industrial IoT-based SCADA Systems,” Scientific Reports, vol. 16, pp. 1-21, 2026.
[CrossRef] [Google Scholar] [Publisher Link] - Zhenshan Chen et al., “Design of Security Situation Awareness Power Grid SCADA System based on Improved GWO-LSTM,” Scientific Reports, vol. 16, 1-18, 2026.
[CrossRef] [Google Scholar] [Publisher Link]