دورية أكاديمية
Experimental study on multi-robot 3D source localization in indoor environments with weak airflow
العنوان: | Experimental study on multi-robot 3D source localization in indoor environments with weak airflow |
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المؤلفون: | Chen Axiang, Zhang Boyuan, Cai Hao, Wei Ling, Liao Yu, Zhou Bin |
المصدر: | E3S Web of Conferences, Vol 356, p 04008 (2022) |
بيانات النشر: | EDP Sciences, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Environmental sciences |
مصطلحات موضوعية: | Environmental sciences, GE1-350 |
الوصف: | The purpose of this paper is to provide a new method for solving the problem of the 3D source localization in indoor environments with weak airflow by the experimental study on the multi-robot method. For this purpose, we developed a 3D MRO (mobile robot olfaction) system consisting of three mobile robots. The gas sensor carried with each robot has a moving range of 0.5 m to 1.5 m on the Z-axis. A total of 60 experiments were conducted to validate and compare the standard whale optimization algorithm (SWOA) and the standard particle swarm optimization (SPSO) methods in a 7.65 m×4.1 m experimental area with two source heights (0.75 m and 1.05 m). For two source heights, the success rate and localization step of the SPSO method are 56.7% (17/30) and 31.4 steps, respectively. In addition, the success rate and localization step of the SWOA method are 80% (24/30) and 32.9 steps, respectively. These results show that the SWOA method has strong application potential in indoor environments with weak airflow. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English French |
تدمد: | 2267-1242 20223560 |
Relation: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/23/e3sconf_roomvent2022_04008.pdf; https://doaj.org/toc/2267-1242 |
DOI: | 10.1051/e3sconf/202235604008 |
URL الوصول: | https://doaj.org/article/73ef32f51c9a4a3f934c43ce3a4c2287 |
رقم الأكسشن: | edsdoj.73ef32f51c9a4a3f934c43ce3a4c2287 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 22671242 20223560 |
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DOI: | 10.1051/e3sconf/202235604008 |