Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception
In challenging visibility conditions, the reliability of existing port lighting systems is significantly affected by abrupt changes in environmental factors (primarily stemming from ocean weather). This study proposes a cloud-edge collaborative dimming model that integrates a combined filter, enabli...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1493275/full |
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| _version_ | 1846162766293893120 |
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| author | Haoyu Jiang Xiaolong Zhao Zeguo Zhang Jiacheng Ji |
| author_facet | Haoyu Jiang Xiaolong Zhao Zeguo Zhang Jiacheng Ji |
| author_sort | Haoyu Jiang |
| collection | DOAJ |
| description | In challenging visibility conditions, the reliability of existing port lighting systems is significantly affected by abrupt changes in environmental factors (primarily stemming from ocean weather). This study proposes a cloud-edge collaborative dimming model that integrates a combined filter, enabling dynamic adaptation to these weather variations to ensure the stability of the lighting system. Additionally, the application of edge computing not only alleviates computational pressure but also facilitates the model’s ability to achieve effective regional adaptive dimming in accordance with environmental regulations. Experimental results indicate that this method is suitable for scenarios with unknown mutations under extreme conditions, providing a more reliable and intelligent solution for port lighting systems within the Internet of Things (IoT) framework. |
| format | Article |
| id | doaj-art-7101a686db1b463580bf6709191a83fa |
| institution | Kabale University |
| issn | 2296-7745 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-7101a686db1b463580bf6709191a83fa2024-11-20T04:50:14ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452024-11-011110.3389/fmars.2024.14932751493275Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perceptionHaoyu Jiang0Xiaolong Zhao1Zeguo Zhang2Jiacheng Ji3Naval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang, ChinaSchool of Information Engineering, Henan University of Science and Technology, Luoyang, ChinaNaval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang, ChinaDepartment of Electrical Engineering, Shanghai Maritime University, Shanghai, ChinaIn challenging visibility conditions, the reliability of existing port lighting systems is significantly affected by abrupt changes in environmental factors (primarily stemming from ocean weather). This study proposes a cloud-edge collaborative dimming model that integrates a combined filter, enabling dynamic adaptation to these weather variations to ensure the stability of the lighting system. Additionally, the application of edge computing not only alleviates computational pressure but also facilitates the model’s ability to achieve effective regional adaptive dimming in accordance with environmental regulations. Experimental results indicate that this method is suitable for scenarios with unknown mutations under extreme conditions, providing a more reliable and intelligent solution for port lighting systems within the Internet of Things (IoT) framework.https://www.frontiersin.org/articles/10.3389/fmars.2024.1493275/fullextreme weatherport streetlightsInternet of Things (IoT)combined filteringadaptive dimming |
| spellingShingle | Haoyu Jiang Xiaolong Zhao Zeguo Zhang Jiacheng Ji Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception Frontiers in Marine Science extreme weather port streetlights Internet of Things (IoT) combined filtering adaptive dimming |
| title | Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception |
| title_full | Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception |
| title_fullStr | Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception |
| title_full_unstemmed | Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception |
| title_short | Research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception |
| title_sort | research on adaptive dimming management methods for intelligent lighting systems in port traffic based on ocean weather perception |
| topic | extreme weather port streetlights Internet of Things (IoT) combined filtering adaptive dimming |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1493275/full |
| work_keys_str_mv | AT haoyujiang researchonadaptivedimmingmanagementmethodsforintelligentlightingsystemsinporttrafficbasedonoceanweatherperception AT xiaolongzhao researchonadaptivedimmingmanagementmethodsforintelligentlightingsystemsinporttrafficbasedonoceanweatherperception AT zeguozhang researchonadaptivedimmingmanagementmethodsforintelligentlightingsystemsinporttrafficbasedonoceanweatherperception AT jiachengji researchonadaptivedimmingmanagementmethodsforintelligentlightingsystemsinporttrafficbasedonoceanweatherperception |