Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control
Due to the special characteristics of highway tunnels and vehicles, the interior of the tunnel is required to provide appropriate lighting to ensure the safety of driving vehicles, especially at the entrance section of the tunnel. At present, most of the tunnel entrance lighting control system only...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720925742 |
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| _version_ | 1832547861212954624 |
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| author | Ying Lu Jin Wang Xiaojun Bai Hehan Wang |
| author_facet | Ying Lu Jin Wang Xiaojun Bai Hehan Wang |
| author_sort | Ying Lu |
| collection | DOAJ |
| description | Due to the special characteristics of highway tunnels and vehicles, the interior of the tunnel is required to provide appropriate lighting to ensure the safety of driving vehicles, especially at the entrance section of the tunnel. At present, most of the tunnel entrance lighting control system only considers one single factor, the brightness outside the tunnel. However, in practice, the required lighting brightness in the tunnel is also related to traffic flow, speed, and other factors. Comprehensively utilizing these factors to improve the control strategy is urgently needed. To deal with this problem, this article has designed a multi-source information acquisition system for tunnel lighting based on the Internet of things technology, which combined with fuzzy control theory in order to develop an intelligent control system for LED lighting at the entrance section of the tunnel. The designed system was implemented and long-term tested in a real highway tunnel. The experimental results have shown that the system designed in this article can automatically control the brightness of the lighting inside the tunnel according to the real-time measurements of the brightness outside the tunnel, traffic flow, speed, and so on. Furthermore, the utilizations of the system can minimize the human and power consumption of tunnel lighting while ensuring the safety of tunnel traffic. |
| format | Article |
| id | doaj-art-9ea589257fa44926bd7ac3bef1b1e279 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-9ea589257fa44926bd7ac3bef1b1e2792025-02-03T06:43:00ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-05-011610.1177/1550147720925742Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy controlYing LuJin WangXiaojun BaiHehan WangDue to the special characteristics of highway tunnels and vehicles, the interior of the tunnel is required to provide appropriate lighting to ensure the safety of driving vehicles, especially at the entrance section of the tunnel. At present, most of the tunnel entrance lighting control system only considers one single factor, the brightness outside the tunnel. However, in practice, the required lighting brightness in the tunnel is also related to traffic flow, speed, and other factors. Comprehensively utilizing these factors to improve the control strategy is urgently needed. To deal with this problem, this article has designed a multi-source information acquisition system for tunnel lighting based on the Internet of things technology, which combined with fuzzy control theory in order to develop an intelligent control system for LED lighting at the entrance section of the tunnel. The designed system was implemented and long-term tested in a real highway tunnel. The experimental results have shown that the system designed in this article can automatically control the brightness of the lighting inside the tunnel according to the real-time measurements of the brightness outside the tunnel, traffic flow, speed, and so on. Furthermore, the utilizations of the system can minimize the human and power consumption of tunnel lighting while ensuring the safety of tunnel traffic.https://doi.org/10.1177/1550147720925742 |
| spellingShingle | Ying Lu Jin Wang Xiaojun Bai Hehan Wang Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control International Journal of Distributed Sensor Networks |
| title | Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control |
| title_full | Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control |
| title_fullStr | Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control |
| title_full_unstemmed | Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control |
| title_short | Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control |
| title_sort | design and implementation of led lighting intelligent control system for expressway tunnel entrance based on internet of things and fuzzy control |
| url | https://doi.org/10.1177/1550147720925742 |
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