A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection
Smoke detectors face the challenges of increasing accuracy, sensitivity, and high reliability in complex use environments to ensure the timeliness, accuracy, and reliability of very early fire detection. The improvement in and innovation of the principle and algorithm of smoke particle concentration...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/5/1692 |
| _version_ | 1797263831747002368 |
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| author | Boqiang Wang Xuezeng Zhao Yiyong Zhang Zigang Song Zhuogang Wang |
| author_facet | Boqiang Wang Xuezeng Zhao Yiyong Zhang Zigang Song Zhuogang Wang |
| author_sort | Boqiang Wang |
| collection | DOAJ |
| description | Smoke detectors face the challenges of increasing accuracy, sensitivity, and high reliability in complex use environments to ensure the timeliness, accuracy, and reliability of very early fire detection. The improvement in and innovation of the principle and algorithm of smoke particle concentration detection provide an opportunity for the performance improvement in the detector. This study is a new refinement of the smoke concentration detection principle based on capacitive detection of cell structures, and detection signals are processed by a multiscale smoke particle concentration detection algorithm to calculate particle concentration. Through experiments, it is found that the detector provides effective detection of smoke particle concentrations ranging from 0 to 10% obs/m; moreover, the detector can detect smoke particles at parts per million (PPM) concentration levels (at 2 and 5 PPM), and the accuracy of the detector can reach at least the 0.5 PPM level. Furthermore, the detector can detect smoke particle concentrations at better than 1 PPM accuracy even in an environment with 6% obs/m oil gas particles, 7% obs/m large dust interference particles, or 8% obs/m small dust interference particles. |
| first_indexed | 2024-04-25T00:19:16Z |
| format | Article |
| id | doaj.art-a7064d303c6a4a67a250403534cbb816 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-25T00:19:16Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a7064d303c6a4a67a250403534cbb8162024-03-12T16:55:39ZengMDPI AGSensors1424-82202024-03-01245169210.3390/s24051692A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire DetectionBoqiang Wang0Xuezeng Zhao1Yiyong Zhang2Zigang Song3Zhuogang Wang4School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150006, ChinaSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150006, China703 Research Institute, China State Shipbuilding Corporation Limited, Harbin 150010, China703 Research Institute, China State Shipbuilding Corporation Limited, Harbin 150010, China703 Research Institute, China State Shipbuilding Corporation Limited, Harbin 150010, ChinaSmoke detectors face the challenges of increasing accuracy, sensitivity, and high reliability in complex use environments to ensure the timeliness, accuracy, and reliability of very early fire detection. The improvement in and innovation of the principle and algorithm of smoke particle concentration detection provide an opportunity for the performance improvement in the detector. This study is a new refinement of the smoke concentration detection principle based on capacitive detection of cell structures, and detection signals are processed by a multiscale smoke particle concentration detection algorithm to calculate particle concentration. Through experiments, it is found that the detector provides effective detection of smoke particle concentrations ranging from 0 to 10% obs/m; moreover, the detector can detect smoke particles at parts per million (PPM) concentration levels (at 2 and 5 PPM), and the accuracy of the detector can reach at least the 0.5 PPM level. Furthermore, the detector can detect smoke particle concentrations at better than 1 PPM accuracy even in an environment with 6% obs/m oil gas particles, 7% obs/m large dust interference particles, or 8% obs/m small dust interference particles.https://www.mdpi.com/1424-8220/24/5/1692extreme early fire detectionsmoke concentration detectioncapacitive detectionmultiscale signal processing |
| spellingShingle | Boqiang Wang Xuezeng Zhao Yiyong Zhang Zigang Song Zhuogang Wang A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection Sensors extreme early fire detection smoke concentration detection capacitive detection multiscale signal processing |
| title | A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection |
| title_full | A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection |
| title_fullStr | A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection |
| title_full_unstemmed | A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection |
| title_short | A Capacitive Particle-Analyzing Smoke Detector for Very Early Fire Detection |
| title_sort | capacitive particle analyzing smoke detector for very early fire detection |
| topic | extreme early fire detection smoke concentration detection capacitive detection multiscale signal processing |
| url | https://www.mdpi.com/1424-8220/24/5/1692 |
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