Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline
This study integrates the array sensing module and the flow leakage algorithm. In this study, a real-time monitoring deep-sea pipeline damage sensing system is designed to provide decision-making parameters such as damage coordinates and damage area. The array sensor module is composed of multiple Y...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/18/6846 |
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| author | Yung-Hsu Chen Sheng-Chih Shen Yan-Kuei Wu Chun-Yen Lee Yen-Ju Chen |
| author_facet | Yung-Hsu Chen Sheng-Chih Shen Yan-Kuei Wu Chun-Yen Lee Yen-Ju Chen |
| author_sort | Yung-Hsu Chen |
| collection | DOAJ |
| description | This study integrates the array sensing module and the flow leakage algorithm. In this study, a real-time monitoring deep-sea pipeline damage sensing system is designed to provide decision-making parameters such as damage coordinates and damage area. The array sensor module is composed of multiple YF-S201 hall sensors and controllers. YF-S201 hall sensors are arranged inside the pipeline in an array. The flow signal in the deep-sea pipeline can be transmitted to the electronic control interface to analyze the leakage position and leakage flowrate of the pipeline. The theory of this system is based on the conservation of mass. Through the flow of each sensor, it is judged whether the pipeline is damaged. When the pipeline is not damaged, the flowrate of each sensor is almost the same. When the pipeline is damaged, the flowrate will drop significantly. When the actual size of leakage in the pipeline is 5.28 cm<sup>2</sup>, the size calculated by the flowrate of hall sensors is 2.58 cm<sup>2</sup> in average, indicating the error between experimental data and theoretical data is 46%. When the actual size of leakage in the pipeline is 1.98 cm<sup>2</sup>, the size calculated by the flowrate of hall sensors is 1.31 cm<sup>2</sup> in average, indicating the error between experimental data and theoretical data is 21%. This can accurately confirm the location of the broken pipeline, which is between sensor A and sensor B, so that the AUV/ROV can accurately locate and perform pipeline maintenance in real time. It is expected to be able to monitor the flowrate through the array magnetic sensing module designed in this study. It can grasp the status of deep-sea pipelines, improve the quality of deep-sea extraction and pipeline maintenance speed. |
| first_indexed | 2024-03-09T22:34:59Z |
| format | Article |
| id | doaj.art-9d1c8abcc7de4a2a967e5d9162596a9e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T22:34:59Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9d1c8abcc7de4a2a967e5d9162596a9e2023-11-23T18:50:14ZengMDPI AGSensors1424-82202022-09-012218684610.3390/s22186846Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea PipelineYung-Hsu Chen0Sheng-Chih Shen1Yan-Kuei Wu2Chun-Yen Lee3Yen-Ju Chen4Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, TaiwanDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, TaiwanDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, TaiwanDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, TaiwanDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, TaiwanThis study integrates the array sensing module and the flow leakage algorithm. In this study, a real-time monitoring deep-sea pipeline damage sensing system is designed to provide decision-making parameters such as damage coordinates and damage area. The array sensor module is composed of multiple YF-S201 hall sensors and controllers. YF-S201 hall sensors are arranged inside the pipeline in an array. The flow signal in the deep-sea pipeline can be transmitted to the electronic control interface to analyze the leakage position and leakage flowrate of the pipeline. The theory of this system is based on the conservation of mass. Through the flow of each sensor, it is judged whether the pipeline is damaged. When the pipeline is not damaged, the flowrate of each sensor is almost the same. When the pipeline is damaged, the flowrate will drop significantly. When the actual size of leakage in the pipeline is 5.28 cm<sup>2</sup>, the size calculated by the flowrate of hall sensors is 2.58 cm<sup>2</sup> in average, indicating the error between experimental data and theoretical data is 46%. When the actual size of leakage in the pipeline is 1.98 cm<sup>2</sup>, the size calculated by the flowrate of hall sensors is 1.31 cm<sup>2</sup> in average, indicating the error between experimental data and theoretical data is 21%. This can accurately confirm the location of the broken pipeline, which is between sensor A and sensor B, so that the AUV/ROV can accurately locate and perform pipeline maintenance in real time. It is expected to be able to monitor the flowrate through the array magnetic sensing module designed in this study. It can grasp the status of deep-sea pipelines, improve the quality of deep-sea extraction and pipeline maintenance speed.https://www.mdpi.com/1424-8220/22/18/6846hall sensorsleakage sensing systemsubsea pipelinedeep-sea water |
| spellingShingle | Yung-Hsu Chen Sheng-Chih Shen Yan-Kuei Wu Chun-Yen Lee Yen-Ju Chen Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline Sensors hall sensors leakage sensing system subsea pipeline deep-sea water |
| title | Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline |
| title_full | Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline |
| title_fullStr | Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline |
| title_full_unstemmed | Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline |
| title_short | Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline |
| title_sort | design and testing of real time sensing system used in predicting the leakage of subsea pipeline |
| topic | hall sensors leakage sensing system subsea pipeline deep-sea water |
| url | https://www.mdpi.com/1424-8220/22/18/6846 |
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