Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN
Indoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly and accurately perceive the fire. In this work, an indoor fire perception algorithm based on multi-sensor fusion was proposed. Firstly, the sensor data features were fully extracted by improved temporal...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/12/4550 |
| _version_ | 1797482407178272768 |
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| author | Yang Li Yanmang Su Xiangye Zeng Jingyi Wang |
| author_facet | Yang Li Yanmang Su Xiangye Zeng Jingyi Wang |
| author_sort | Yang Li |
| collection | DOAJ |
| description | Indoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly and accurately perceive the fire. In this work, an indoor fire perception algorithm based on multi-sensor fusion was proposed. Firstly, the sensor data features were fully extracted by improved temporal convolutional network (TCN). Then, the dimension of the extracted features was reduced by adaptive average pooling (AAP). Finally, the fire classification was realized by the support vector machine (SVM) classifier. Experimental results demonstrated that the proposed algorithm can improve accuracy of fire classification by more than 2.5% and detection speed by more than 15%, compared with TCN, back propagation (BP) neural network and long short-term memory (LSTM). In conclusion, the proposed algorithm can perceive the fire quickly and accurately, which is of great significance to improve the performance of the current fire prediction systems. |
| first_indexed | 2024-03-09T22:31:54Z |
| format | Article |
| id | doaj.art-6a9a59d010dd4d1e8200f47ddc76a38d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T22:31:54Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6a9a59d010dd4d1e8200f47ddc76a38d2023-11-23T18:55:06ZengMDPI AGSensors1424-82202022-06-012212455010.3390/s22124550Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCNYang Li0Yanmang Su1Xiangye Zeng2Jingyi Wang3School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, ChinaSchool of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, ChinaSchool of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, ChinaTianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, ChinaIndoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly and accurately perceive the fire. In this work, an indoor fire perception algorithm based on multi-sensor fusion was proposed. Firstly, the sensor data features were fully extracted by improved temporal convolutional network (TCN). Then, the dimension of the extracted features was reduced by adaptive average pooling (AAP). Finally, the fire classification was realized by the support vector machine (SVM) classifier. Experimental results demonstrated that the proposed algorithm can improve accuracy of fire classification by more than 2.5% and detection speed by more than 15%, compared with TCN, back propagation (BP) neural network and long short-term memory (LSTM). In conclusion, the proposed algorithm can perceive the fire quickly and accurately, which is of great significance to improve the performance of the current fire prediction systems.https://www.mdpi.com/1424-8220/22/12/4550fire perceptionmulti-sensor fusiontrend extractionTCNAAPSVM |
| spellingShingle | Yang Li Yanmang Su Xiangye Zeng Jingyi Wang Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN Sensors fire perception multi-sensor fusion trend extraction TCN AAP SVM |
| title | Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN |
| title_full | Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN |
| title_fullStr | Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN |
| title_full_unstemmed | Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN |
| title_short | Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN |
| title_sort | research on multi sensor fusion indoor fire perception algorithm based on improved tcn |
| topic | fire perception multi-sensor fusion trend extraction TCN AAP SVM |
| url | https://www.mdpi.com/1424-8220/22/12/4550 |
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