Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments
This research addresses the sensor placement optimization problem (SPOP) in the industrial sector, aiming to enhance operational efficiency and safety through the strategic deployment of sensors. The focus is on optimizing the locations of thermal cameras and motion sensors, with a dual objective of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/13/3/601 |
| _version_ | 1797318887906213888 |
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| author | Hubert Zarzycki Dawid Ewald Piotr Prokopowicz |
| author_facet | Hubert Zarzycki Dawid Ewald Piotr Prokopowicz |
| author_sort | Hubert Zarzycki |
| collection | DOAJ |
| description | This research addresses the sensor placement optimization problem (SPOP) in the industrial sector, aiming to enhance operational efficiency and safety through the strategic deployment of sensors. The focus is on optimizing the locations of thermal cameras and motion sensors, with a dual objective of maximizing coverage and minimizing redundancy in the production hall. To solve this challenge, a method based on the application of the nature-inspired bat algorithm was employed. The study reveals noteworthy findings, emphasizing the proficiency of the bat algorithm (BA) in optimizing the placement of thermal cameras and motion sensors. Numeric outcomes demonstrate the algorithm’s effectiveness in maximizing machine coverage while minimizing sensor usage within a real-world industrial environment. These results underscore the versatility and reliability of the BA, establishing it as a valuable tool for addressing complex optimization tasks in industrial settings. |
| first_indexed | 2024-03-08T03:58:55Z |
| format | Article |
| id | doaj.art-bbefc6e50e694955971fb26ba4f7601d |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-08T03:58:55Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-bbefc6e50e694955971fb26ba4f7601d2024-02-09T15:10:46ZengMDPI AGElectronics2079-92922024-02-0113360110.3390/electronics13030601Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial EnvironmentsHubert Zarzycki0Dawid Ewald1Piotr Prokopowicz2Faculty of Computer Science and Technology, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandFaculty of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandThis research addresses the sensor placement optimization problem (SPOP) in the industrial sector, aiming to enhance operational efficiency and safety through the strategic deployment of sensors. The focus is on optimizing the locations of thermal cameras and motion sensors, with a dual objective of maximizing coverage and minimizing redundancy in the production hall. To solve this challenge, a method based on the application of the nature-inspired bat algorithm was employed. The study reveals noteworthy findings, emphasizing the proficiency of the bat algorithm (BA) in optimizing the placement of thermal cameras and motion sensors. Numeric outcomes demonstrate the algorithm’s effectiveness in maximizing machine coverage while minimizing sensor usage within a real-world industrial environment. These results underscore the versatility and reliability of the BA, establishing it as a valuable tool for addressing complex optimization tasks in industrial settings.https://www.mdpi.com/2079-9292/13/3/601bat algorithm (BA)sensor placement optimization problem (SPOP)sensor networkswarm intelligencenature-inspired algorithmsthermal camera |
| spellingShingle | Hubert Zarzycki Dawid Ewald Piotr Prokopowicz Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments Electronics bat algorithm (BA) sensor placement optimization problem (SPOP) sensor network swarm intelligence nature-inspired algorithms thermal camera |
| title | Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments |
| title_full | Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments |
| title_fullStr | Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments |
| title_full_unstemmed | Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments |
| title_short | Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments |
| title_sort | leveraging swarm intelligence for optimal thermal camera and sensor placement in industrial environments |
| topic | bat algorithm (BA) sensor placement optimization problem (SPOP) sensor network swarm intelligence nature-inspired algorithms thermal camera |
| url | https://www.mdpi.com/2079-9292/13/3/601 |
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