Sniffer-Net: quantitative evaluation of smoke in the wild based on spatial–temporal motion spectrum

Mi, Zeyang; Zhang, Weiwei; Wu, Xuncheng; Gao, Qiaoming; Luo, Suyun

doi:10.1007/s00521-019-04426-z

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…The effectiveness of the real-time smoke and dust monitoring system in thermal power plants based on the improved genetic algorithm termed as GAMS system is evaluated along with the benchmarked techniques such as DSNT [ 22 ], ZTT [ 23 ], and STMS [ 24 ]. This section provides highlights of the experimental setup and fine-tuning of parameters.…”

Section: Experimental Setup and Results Analysismentioning

confidence: 99%

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Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

Wang

Yao

Jiang

et al. 2021

Journal of Healthcare Engineering

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The major health hazards from smoke and dust are due to microscopic fine particles present in smoke as well as in dust. These fine particles, which are microscopic in nature, can penetrate into human lungs and give rise to a range of health problems such as irritation in eyes, a runny nose, throat infection, and chronic cardiac and lung diseases. There is a need to device such mechanisms that can monitor smoke in thermal power plants for timely control of smoke that can pollute air and affects adversely the people living nearby the plants. In order to solve the problems of low accuracy of monitoring results and long monitoring time in conventional methods, a real-time smoke and dust monitoring system in thermal power plants is proposed, which makes use of modified genetic algorithm (GA). The collection and calibration of various monitoring parameters are accomplished through sampling control. The smoke and dust emission real-time monitoring subsystems are employed for the monitoring in an accurate manner. A dual-channel TCP/IP protocol is used between remote and local controlling modules for secure and speedy communication of the system. The generic GA is improved on the basis of the problem statement, and the linear programming model is used to avoid the defect of code duplication with genetic operations. The experimental results show that the proposed smoke and dust monitoring system can effectively improve the accuracy of the monitoring results and also reduce the time complexity by providing solutions in a faster manner. The significance of the proposed technique is to provide a reliable basis for the smoke and dust emission control of thermal power plants for safeguarding the human health.

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Section: Experimental Setup and Results Analysismentioning

confidence: 99%

“…The DSNT method is an end-to-end technique to detect smoke and to predict the existence of the smoke. In [ 23 ], the authors have introduced an innovative smoke alarm system based on ZigBee transmission technology (ZTT). The ZTT uses E-charts for visualization of data and random forest to classify smoke.…”

Section: Introductionmentioning

confidence: 99%

Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

Wang

Yao

Jiang

et al. 2021

Journal of Healthcare Engineering

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“…This helps increase the efficacy of flame detection. The proposed sequence analysis algorithm of frames received from the video surveillance, made it possible (Wu et al 2019;Mi et al 2020 ).…”

Section: Reliability Of Fire Alarm Systemsmentioning

confidence: 99%

The analysis of the operational process of a complex fire alarm system used in transport facilities

et al. 2021

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A fire alarm system (FAS) is a system comprising signalling-alarm devices, which automatically detect and transmit information about fire, but also receivers of fire alarms and receivers for damage signals. Fire alarm systems function in different environmental conditions. During operation they should be in state of fitness. This is determined by the reliability of the assembled units and rational management of the operation process. Therefore a reliability and operational analysis of fire alarm systems as a whole is essential. This article presents an authorial model and an operational and reliability analysis of FAS, which is exploited in a transport building. It also demonstrates relationships occurring in the analysed system, where to an addressable fire alarm central unit with detection loops and control-monitoring loops alarm device lines (with monitored relay outputs for actuation of alarm-signalling devices) were connected. Research and analysis of results for representative FAS, which were exploited in similar environmental conditions, were conducted in order to determine operational and reliability parameters of the investigated system. FAS computer simulation was run during the time t = 1 year of safety system operation. This led to the calculation of the probability value of the analysed FAS staying in the examined operational states.

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Fire detection method based on spatio-temporal dual-stream network

Fang,

Zhang,

Yan

2024

SIViP

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Sniffer-Net: quantitative evaluation of smoke in the wild based on spatial–temporal motion spectrum

Cited by 4 publications

References 29 publications

Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

The analysis of the operational process of a complex fire alarm system used in transport facilities

Fire detection method based on spatio-temporal dual-stream network

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