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fire monitoring in coal mines using wireless underground sensor network and interval type-2 fuzzy logic controller

International Journal of Coal Science & Technology 2019年第2期6卷 274-285页

作者： Sweta Basu Sutapa Pramanik Sanghamitra Dey Gautam Panigrahi Dipak Kumar Jana Prajnanananda Insitute of Technology & Management 94/2 Park Street Koi-17 Park Circus 7th point Kolkata WB 700 017 India Deulia Balika Vidyamandir Kolaghat 721154 India Department of Mathematics NIT Durgapur WB India Department of Applied Science Haldia Institute of Technology Haldia Purba Midnapur WB 721657 India

From the view of underground coal mining safety system, it is extremely important to continuous monitoring of coal mines for the prompt detection of fires or related problems inspite of its uncertainty and imprecise characteristics. Therefore, evaluation and inferring the data perfectly to prevent fire related accidental risk in underground coal mining (UMC) system are very necessary. In the present article, we have proposed a novel type-2 fuzzy logic system (T2FLS) for the prediction of fire intensity and its risk assessment for risk reduction in an underground coal mine. Recently, for the observation of underground coal mines, wireless underground sensor network (WUSN) are being concerned frequently. To implement this technique IT2FLS, main functional components are sensor nodes which are installed in coal mines to accumulate different imprecise environmental data like, temperature, relative humidity, different gas concentrations etc. and these are sent to a base station which is connected to the ground observation system through network. In the present context, a WUSN based fire monitoring system is developed using fuzzy logic approach to enhance the consistency in decision making system to improve the risk chances of fire during coal mining. We have taken Mamdani IT2FLS as fuzzy model on coal mine monitoring data to consider real-time decision making (DM). It is predicted from the simulated results that the recommended system is highly acceptable and amenable in the case of fire hazard safety with compared to the wired and off-line monitoring system for UMC. Legitimacy of the suggested model is prepared using statistical analysis and multiple linear regression analysis.

关键词： Type-2 fuzzy logic Underground coal mining system Mine environment fire and risk monitoring of mine Wireless sensor networks fire Intensity

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Pedestrian evacuation at the subway station under fire

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Chinese Physics B 2016年第4期25卷 486-494页

作者：杨晓霞董海荣姚秀明孙绪彬 State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China School of Electronic and Information Engineering Belting Jiaotong University Belting 100044 China

With the development of urban rail transit, ensuring the safe evacuation of pedestrians at subway stations has become an important issue in the case of an emergency such as a fire. This paper chooses the platform of line 4 at the Beijing Xu- anwumen subway station to study the emergency evacuation process under fire. Based on the established platform, effects of the fire dynamics, different initial pedestrian densities, and positions of fire on evacuation are investigated. According to simulation results, it is found that the fire increases the air temperature and the smoke density, and decreases pedestrians＇- visibility and walking velocity. Also, there is a critical initial density at the platform if achieving a safe evacuation within the required 6 minutes. Furthermore, different positions of fire set in this paper have little difference on crowd evacuation if the fire is not large enough. The suggestions provided in this paper are helpful for the subway operators to prevent major casualties.

关键词： pedestrian evacuation FDS ＋ Evac subway station fire social force model

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INTELLIGENT SECURITY SYSTEMS ENGINEERING FOR MODELING fire CRITICAL INCIDENTS:TOWARDS SUSTAINABLE SECURITY

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Journal of Systems Science and Systems Engineering 2009年第4期18卷 477-488页

作者： Ali ASGARY Ali SADEGHI NAINI Jason LEVY Emergency Management York University Faculty of Geography University of Tehran Department of Electrical and Computer Engineering University of Western Ontario Homeland Security and Emergency Preparedness Virginia Commonwealth University

An intelligent security systems engineering approach is used to analyze fire and explosive critical incidents, a growing concern in urban communities. A feed-forward back-propagation neural network models the damages arising from these critical incidents. The overall goal is to promote fire safety and sustainable security. The intelligent security systems engineering prediction model uses a fully connected multilayer neural network, and considers a number of factors related to the fire or explosive incident including the type of property affected, the time of day, and the ignition source. The network was trained on a large number of critical incident records reported in Toronto, Canada between 2000 and 2006. Our intelligent security systems engineering approach can help emergency responders by improving cr^tical incident analysis, sustainable security, and fire risk management.

关键词： Intelligent security systems engineering fire feed-forward neural networks critical incidents

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Forest fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

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International Journal of Disaster Risk Science 2019年第3期10卷 386-403页

作者： Guoli Zhang Ming Wang Kai Liu State Key Laboratory of Earth Surface Processes and Resource Ecology/Academy of Disaster Reduction and Emergency Management Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Key Laboratory of Environmental Change and Natural Disasters Ministry of EducationBeijing Normal UniversityBeijing 100875China

Forest fires have caused considerable losses to ecologies, societies, and economies worldwide. To minimize these losses and reduce forest fires, modeling and predicting the occurrence of forest fires are meaningful because they can support forest fire prevention and management. In recent years, the convolutional neural network(CNN) has become an important state-of-the-art deep learning algorithm, and its implementation has enriched many fields. Therefore, we proposed a spatial prediction model for forest fire susceptibility using a CNN. Past forest fire locations in Yunnan Province, China, from 2002 to 2010, and a set of 14 forest fire influencing factors were mapped using a geographic information system. Oversampling was applied to eliminate the class imbalance, and proportional stratified sampling was used to construct the training/validation sample libraries. A CNN architecture that is suitable for the prediction of forest fire susceptibility was designed and hyperparameters were optimized to improve the prediction accuracy. Then, the test dataset was fed into the trained model to construct the spatial prediction map of forest fire susceptibility in Yunnan Province.Finally, the prediction performance of the proposed model was assessed using several statistical measures—Wilcoxon signed-rank test, receiver operating characteristic curve,and area under the curve(AUC). The results confirmed the higher accuracy of the proposed CNN model(AUC 0.86)than those of the random forests, support vector machine,multilayer perceptron neural network, and kernel logistic regression benchmark classifiers. The CNN has stronger fitting and classification abilities and can make full use of neighborhood information, which is a promising alternative for the spatial prediction of forest fire susceptibility. This research extends the application of CNN to the prediction of forest fire susceptibility.

关键词： China Convolutional neural network Forest fire susceptibility Geographic information system Machine learning

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Karrikin and Cyanohydrin Smoke Signals Provide Clues to New Endogenous Plant Signaling Compounds

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Molecular Plant 2013年第1期6卷 29-37页

作者： Gavin R. Flematti Mark T. Waters Adrian Scaffidi David J. Merritt Emilio L. Ghisalberti' Kingsley W.Dixon Steven M. Smith School of Chemistry and Biochemistry University of Western Australia Crawley 6009 Western Australia Australia Centre in Plant Energy Biology University of Western Australia Crawley 6009 Western Australia Australia School of Plant Biology University of Western Australia Crawley 6009 Western Australia Australia Kings Park and Botanic Garden Fraser Avenue West Perth 6005 Western Australia Australia

Two new types of signaling compounds have been discovered in wildfire smoke due to their ability to stimulate seed germination. The first discovered were karrikins, which share some structural similarity with the strigol- actone class of plant hormones, and both signal through a common F-box protein. However, karrikins and strigolactones operate through otherwise distinct signaling pathways, each distinguished by a specific a/13 hydrolase protein. Genetic analysis suggests that plants contain endogenous compounds that signal specifically through the karrikin pathway. The other active compounds discovered in smoke are cyanohydrins that release germination-stimulating cyanide upon hydrolysis. Cyanohydrins occur widely in plants and have a role in defense against other organisms, but an additional role in endogenous cyanide signaling should also now be considered.

关键词： fire smoke karrikins strigolactones cyanohydrins cyanide seed germination Arabidopsis thaliana.

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Study on the optimal operation mode of ventilation system during metro double-island platform fire

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Building Simulation 2021年第3期14卷 779-792页

作者： Zeng Long Yuxuan Yang Chang Liu Maohua Zhong Institute of Public Safety Research Department of Engineering PhysicsTsinghua UniversityBeijing 700084China Beijing Key Laboratory of City Integrated Emergency Response Science Beijing 700084China

Large metro transfer stations have been widely constructed in China,among which the double-island station faces the serious fire safety issues owing to its large passenger flow.In this paper,simulation cases were carried out to investigate the effectiveness of different ventilation modes by jointly operating tunnel ventilation fan(TVF)and platform screen doors(PSD)under two typical fire scenarios in the platform.The numerical model was established by fire Dynamics Simulator software and verified via reduced-scale model experiments.The results indicate that the TVF mode of supplying at the end near fire and exhausting at the other end is superior to that of exhausting at both ends.Besides,activating more PSD and TVF on the both sides of platform will restrict smoke in one end to the greater extent.During a fire in the middle of the platform,opening all PSD near tunnel-2 and TVF in tunnel-2 and tunnel-3 is the most appropriate mode.While during a fire at the left end of the platform,activating all PSD and TVF on both sides is the optimal operation mode.The conclusions can provide guidance for smoke control design and on-site emergency ventilation operation in double-island platform fire.

关键词： metro double-island platform fire ventilation mode numerical simulation model experiment

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Determination of critical parameters in the analysis of road tunnel fires

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International Journal of Mining Science and Technology 2019年第2期29卷 187-198页

作者： Ali Haghighat Kray Luxbacher Department of Mining & Minerals Engineering Virginia Tech fire Life Safety Tunnel Ventilation GroupAECOM

The analysis of the fluid characteristics downstream of a fire source in transportation tunnels is one the most important factor in the emergency response, evacuation, and the rescue service studies. Some crucial parameters can affect the fluid characteristics downstream of the fire. This research develops a statistical analysis on the computational fluid dynamics(CFD) data of the road tunnel fire simulations in order to quantify the significance of tunnel dimensions, inlet air velocity, heat release rate, and the physical fire size(fire perimeter) on the fluid characteristics downstream of the fire source. The selected characteristics of the fluid(response variables) were the average temperature, the average density, the average viscosity, and the average velocity. The prediction of the designed statistical models was assessed; then the significant parameters' effects and the parameters interactive effects on different response variables were determined individually. Next, the effect of computational domain length on the selection of the significant parameters downstream of the fire source was analyzed. In this statistical analysis, the linear models were found to provide the statistically good prediction. The effect of the fire perimeter and the parameters interactive effects on the selected response variables downstream of the fire, were found to be insignificant.

关键词： Road tunnel fire Two-level fractional factorial design Statistical two-level design CFD fire dynamics

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Statistical analysis to establish an ignition scenario based on extrinsic and intrinsic variables of coal seams that affect spontaneous combustion

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International Journal of Mining Science and Technology 2019年第5期29卷 731-737页

作者： M.O.Bustamante Rúa A.J.Daza Aragón P.Bustamante Baena J.D.Osorio Botero school mines national university of colombiamedellín 050036colombia

Spontaneous combustion of coal seams in open pit mines is a problem that occurs in coal mines around the world.Theories have been developed that express several factors which generate self-heating in the coal and favor combustion.The synergy of these factors contributes to the increase in the temperature of oxidation reactions,facilitating the culmination of the activation energy of the system,in which the ignition develops and the reaction is spontaneous.Currently,the incidence of each variable’s susceptibility to coal combustion is unknown,so in this work a methodology was developed to determine statistically which of the variables has the greatest contribution in the phenomenon.Descriptive statistics,atypical values detection,principal component determination,cluster analysis,and logistic regression were used to determine how many indicator variables are necessary to describe susceptibility to coal combustion.For the analysis,21,000 data from different seams of two open-pit coal mines in endwalls and abandoned pits were processed with consideration given to extrinsic and intrinsic factors.Seam temperature,atmospheric pressure,wind speed,oxygen,methane,height,ash,volatile matter,heat power,vitrinite,liptinite and the Hardgrove Index are the most influential variables in the phenomenon.

关键词： Coal fire Self-ignition Statistics analysis Open pit mines Spontaneous combustion

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Planting position and shade enhance native seedling performance in forest restoration for an endangered malagasy plant

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Plant Diversity 2019年第2期41卷 118-123页

作者： Cyprien Miandrimanana J.Leighton Reid Tahiry Rivoharison Chris Birkinshaw Missouri Botanical Garden Madagascar Research and Conservation Program Center for Conservation and Sustainable Development Missouri Botanical Garden

The critically endangered tree Schizolaena tampoketsana is confined to a few diminished and degraded forest fragments on the Malagasy highlands. This habitat is vulnerable to loss due to frequent fires in the surrounding grassland that threaten to spread into the forest. One of these fragments is the focus a conservation project and here the managers aim to conserve S. tampoketsana by restoring its forest habitat to its former extent as evidenced by remnant woody plants. To inform this activity the survival and early-stage growth of seedlings of four locally native tree species were compared under contrasting conditions of proximity to the remaining forest and shade. After 12 months, seedlings of three species(Baronia taratana, Eugenia pluricymosa, Uapaca densifolia) survived better and experienced improved growth in height in grassland close to the existing forest rather than distant from it, and two survived better with shade rather than unshaded. A number of mechanisms could explain these results including reduced exposure to desiccating sunlight and winds and better soil and greater water availability close to the forest. The seedlings of one species(Nuxia capitata) survived well under all conditions. This study suggests that reforestation in these dry highlands is most feasible adjacent to remnant forest fragments and in microhabitats that minimize water loss, though young plants of some tree species may be capable of surviving in harsher conditions.

关键词： Grassland fire Forest restoration Local environment Schizolaena tampoketsana

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Tyramides in male alates of black imported fire ants Solenopsis richteri

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Insect Science 2017年第1期24卷 169-172页

作者： Jian Chen Michael J. Grodowitz National Biological Control Laboratory Southeast Area United States Department of Agriculture Agriculture Research Service 59 Lee Road Stoneville Mississippi USA

Two species of imported fire ants, the red imported fire ant, Solenopsis invieta Buren, and the black imported fire ant, Solenopsis richteri Forel, were introduced into the United States from South America at the port of Mobile, Alabama in 1918 and 1930s, respectively. Although S. richteri was introduced and established in the United States more than one decade earlier than S. invicta, the latter has gradually displaced S. riehteri throughout most of its distribution.

关键词： Tyramides black fire

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