Smart monitoring of underground railway by local energy generation
The objective of this study is to develop a prototype for smart monitoring of underground rail transit by local energy generation. This technology contributes to powering rail-side devices in off-grid and remote areas. This paper presents the principles, modeling, and experimental testing of the pro...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2017-12-01
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| Series: | Underground Space |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2467967417300533 |
| _version_ | 1797763929834782720 |
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| author | Mingyuan Gao Jun Lu Yifeng Wang Ping Wang Li Wang |
| author_facet | Mingyuan Gao Jun Lu Yifeng Wang Ping Wang Li Wang |
| author_sort | Mingyuan Gao |
| collection | DOAJ |
| description | The objective of this study is to develop a prototype for smart monitoring of underground rail transit by local energy generation. This technology contributes to powering rail-side devices in off-grid and remote areas. This paper presents the principles, modeling, and experimental testing of the proposed system that includes two subsystems: (1) an electromagnetic energy generator with DC-DC boost converter (2) a rail-borne wireless sensor node with embedded accelerometers and temperature/humidity sensors and (3) a data processing algorithm based on the Littlewood–Paley (L-P) wavelet. Field testing results, power consumption, L-P wavelet transform methods, and feasibility analysis are reported. One application scenario is described: the electromagnetic energy harvester together with the DC-DC boost converter is used as a local energy source for powering the sensor nodes of a Wireless Sensor Network (WSN), and the abnormal signals of out-of-round wheels are identified based on the measured rail acceleration signals and L-P wavelet analysis. Keywords: Condition monitoring, Energy harvesting, Electromagnetic, Underground rail transit, Wavelet |
| first_indexed | 2024-03-12T19:49:23Z |
| format | Article |
| id | doaj.art-abb67d10d87f4fc1bfd52a67276aa62b |
| institution | Directory Open Access Journal |
| issn | 2467-9674 |
| language | English |
| last_indexed | 2024-03-12T19:49:23Z |
| publishDate | 2017-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Underground Space |
| spelling | doaj.art-abb67d10d87f4fc1bfd52a67276aa62b2023-08-02T03:20:22ZengKeAi Communications Co., Ltd.Underground Space2467-96742017-12-0124210219Smart monitoring of underground railway by local energy generationMingyuan Gao0Jun Lu1Yifeng Wang2Ping Wang3Li Wang4School of Civil Engineering, Southwest Jiaotong University, Chengdu, China; Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu, ChinaSchool of Civil Engineering, Southwest Jiaotong University, Chengdu, China; Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu, China; Corresponding author at: School of Civil Engineering, Southwest Jiaotong University, Chengdu, China.School of Civil Engineering, Southwest Jiaotong University, Chengdu, China; Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu, ChinaSchool of Civil Engineering, Southwest Jiaotong University, Chengdu, China; Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu, ChinaSchool of Civil Engineering, Southwest Jiaotong University, Chengdu, China; Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu, China; Department of Structural Engineering, Delft University of Technology, Delft, NetherlandsThe objective of this study is to develop a prototype for smart monitoring of underground rail transit by local energy generation. This technology contributes to powering rail-side devices in off-grid and remote areas. This paper presents the principles, modeling, and experimental testing of the proposed system that includes two subsystems: (1) an electromagnetic energy generator with DC-DC boost converter (2) a rail-borne wireless sensor node with embedded accelerometers and temperature/humidity sensors and (3) a data processing algorithm based on the Littlewood–Paley (L-P) wavelet. Field testing results, power consumption, L-P wavelet transform methods, and feasibility analysis are reported. One application scenario is described: the electromagnetic energy harvester together with the DC-DC boost converter is used as a local energy source for powering the sensor nodes of a Wireless Sensor Network (WSN), and the abnormal signals of out-of-round wheels are identified based on the measured rail acceleration signals and L-P wavelet analysis. Keywords: Condition monitoring, Energy harvesting, Electromagnetic, Underground rail transit, Wavelethttp://www.sciencedirect.com/science/article/pii/S2467967417300533 |
| spellingShingle | Mingyuan Gao Jun Lu Yifeng Wang Ping Wang Li Wang Smart monitoring of underground railway by local energy generation Underground Space |
| title | Smart monitoring of underground railway by local energy generation |
| title_full | Smart monitoring of underground railway by local energy generation |
| title_fullStr | Smart monitoring of underground railway by local energy generation |
| title_full_unstemmed | Smart monitoring of underground railway by local energy generation |
| title_short | Smart monitoring of underground railway by local energy generation |
| title_sort | smart monitoring of underground railway by local energy generation |
| url | http://www.sciencedirect.com/science/article/pii/S2467967417300533 |
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