scholarly journals Application of Internet of Things in a Kitchen Fire Prevention System

2019 ◽  
Vol 9 (17) ◽  
pp. 3520 ◽  
Author(s):  
Wei-Ling Hsu ◽  
Ji-Yun Jhuang ◽  
Chien-Shiun Huang ◽  
Chiu-Kuo Liang ◽  
Yan-Chyuan Shiau

When using a gas stove to cook, the food or oil in the pot or pan may catch fire because of an excessively high temperature. In addition, people may be uncertain as to whether they have turned off the gas stove before leaving home and therefore feel compelled to return home to check. To solve these problems, this study has developed a smart kitchen fire prevention system that possesses the following devices and functions. (1) Sensors are installed above the stove top. When they detect flames, high temperature, or a gas leak, they immediately activate the gas shutoff device to turn off the gas supply. (2) The alarm produces a loud sound and flashes to warn the residents. (3) The Line reporting system sends Line messages to notify the residents and the community management center, and the main entrance door is automatically unlocked to allow relevant personnel to enter the house to deal with the accident. (4) An Internet protocol camera is installed in the kitchen to enable the residents to monitor the gas stove on their mobile phones. If they find the gas stove is still turned on, they can activate the gas shutoff device to shut off the gas supply from their phones. The system developed in this study can effectively reduce the loss that results from a kitchen fire.

Author(s):  
Julio César Rosas ◽  
José Alfonso Aguilar ◽  
Carolina Tripp-Barba ◽  
Roberto Espinosa ◽  
Pedro Aguilar

2018 ◽  
Vol 68 ◽  
pp. 03001
Author(s):  
Jimmy Tiarlina ◽  
Novrikasari ◽  
Rico Januar Sitorus

The Regulation of the Minister of Public Works Number: 26 / PRT / M / 2008 about technical requirements of fire protection in buildings and environments has not been implemented optimally in hotels. The purpose of this research is to analyze the fire prevention system of hotel building in Palembang City. The research design was Cross Sectional, sampling technique used Stratified Random Sampling with 31 hotels as the sample. Data analysis used Chi Square test. The result of this research shows that from 31 hotels, 74.2% have good fire prevention system, 58.06% of fire officer access is eligible, 93.55% of water supply is eligible, 83.87% of the tools of rescue is eligible,74.19% of active protection system is eligible, 74.19% of knowledge of fire manager is eligible. The result of statistical analysis showed that there is no correlation between access of fire fighter, water supply and active protection system with the fire prevention system at hotel. The related factors were the tools of rescue; passive protection system; the knowledge of fire safety manager. The conclusions of this research is the related factors that has relation with fire prevention facilities at hotels in Palembang City is the tools of rescue, passive protection system and knowledge of fire safety manager. The writer suggests to improve the fire prevention knowledge for all hotel staff, to inform visitors about the way route of escape, the improvement of routine maintenance and coaching from managerial and the existence of further research on fire prevention system.


2015 ◽  
Vol 713-715 ◽  
pp. 2237-2240
Author(s):  
Jun Ying Sun ◽  
Shu Yi Qi

A Fire Prevention system is designed, which uses the composite fire detector, integrating four various sensors of smokescope, temperature, CO density and gas to sample the four different fire information around the field. The fusion system of fire information based on fuzzy neural network is built that is used to make fusion on the detected fire information and confirm the final case of fire.


2013 ◽  
Vol 405-408 ◽  
pp. 1861-1864
Author(s):  
Ruo Jun Wang ◽  
Bin Jiang ◽  
Yan Ying Xu

Fire prevention system of subway station plays an important role in ensuring passenger safety. The Shenyang Youth Street subway station fire prevention system safety was studied, applying performance-based fire protection design analysis method, using of FDS simulation software on the station fire prevention safety system for the calculation and analysis. Three working conditions were set when subway fire happens. Fire smoke flow characteristics and the distribution of temperature, CO concentration and visibility were analyzed and compared. The results show that the automatic sprinkler system and smoke control system have great effect on the preventing spread of fire. In the automatic sprinkler system and smoke control system conditions, fire hazards have not reached the standards of passengers tolerance.


2019 ◽  
Vol 13 (2) ◽  
pp. 210
Author(s):  
Bekti Larasati ◽  
Mamoru Kanzaki ◽  
Ris Hadi Purwanto ◽  
Ronggo Sadono

Peat fires have caused carbon emissions and damage to local and regional communities in Indonesia. An effective fire prevention system is required for mitigating climate change and enabling sustainable development of peatlands. This study examined the fire regime in a peatland restoration area in Central Kalimantan in order to assist the establishment of a fire prevention system. The fire regime was analysed using spatial-temporal analysis, land cover change mapping, and logistic regression analysis. Spatial-temporal analysis was done using monthly Niño 3.4 sea surface temperature anomalies, daily rainfall, and MODIS Active Fire (MCD14DL) hotspots from 2006 to 2015. Land cover change was mapped using Landsat imagery from2014, 2015 and 2016. Logistic regression analysis was conducted to identify significant factors that increase fire risk. The temporal analysis showed that the strongest El Niño occurred in 2015, when the region experienced a 140-days drought period. The highest number of hotspots was also observed in this year, with hotspots concentrated in the latter half of drought period. Moreover, spatial analysis using Kernel Density Estimation (KDE) showed fire recur in degraded areas. The logistic regression analysis used topographic and proximity factors, land cover classes, and soil types as independent variables. It showed that fire in 2014 and 2015 was associated with several land cover classes and was related to historical fire occurrence areas based on KDE results. Several area of peatland forests burned in 2015 and occurred at the forest edge areas located near cultivated or degraded land (e.g. shrubland) and oil palm plantations. Based on the results, the fire regime in the study area is characterized by fires that occurring/recurring in relation to climatic conditions, especially drought periods, and are typically located in cultivated or degraded land cover classes. These parameters should be considered in developing a fire prevention system in the restoration area.Rezim Kebakaran Hutan dan Lahan di Area Restorasi Lahan Gambut: Studi dari Kalimantan TengahIntisariKebakaran di lahan gambut menyebabkan emisi karbon dan kerusakan sistem kehidupan masyarakat lokal dan regional. Sistem pencegahan kebakaran yang efektif diperlukan untuk mitigasi perubahan iklim serta mendorong pembangunan lahan dan hutan yang lestari di kawasan gambut. Studi ini meneliti tentang rezim kebakaran hutan dan lahan di suatu kawasan restorasi gambut di Kalimantan Tengah. Rezim kebakaran hutan dan lahan dianalisis menggunakan analisis spasial-temporal, perubahan tutupan lahan, dan regresi logistik. Analisis spasial-temporal menggunakan parameter nilai rata-rata sea surface temperature (SST) bulanan, curah hujan harian, dan hotspot dari MODIS Active Fire (MCD14DL) tahun 2006-2016. Perubahan tutupan lahan dipetakan dengan analisis citra Landsat tahun 2014, 2015 dan 2016. Regresi logistik digunakan untuk menganalisis faktor yang berpengaruh pada peningkatan resiko kebakaran. Analisis temporal terhadap nilai SST tahun 2006-2016 menunjukkan bahwa El- Niño terparah terjadi di tahun 2015 yang memiliki hari tanpa hujan selama 140 hari berturut-turut dan ditemukan titik hotspot terbanyak. Kernel Density Estimation (KDE) digunakan dalam analisis spasial dan hasilnya menunjukkan bahwa kebakaran terjadi dan dapat berulang di area terdegradasi. Regresi logistik  menggunakan parameter yang terdiri faktor topografis, kedekatan dengan sungai/kanal, tipe penutupan lahan, serta jenis tanah. Hasil analisis menunjukkan bahwa kebarakan tahun 2014 dan 2015 berhubungan dengan beberapa tipe tutupan lahan di area yang secara historis pernah terbakar berdasarkan analisis KDE, sehingga area tersebut terindikasi telah terdegradasi sebelumnya. Beberapa area hutan di lahan gambut juga mengalami kebakaran pada tahun 2015 khususnya di area tepi hutannya. Berdasarkan hasil, rezim kebakaran di area studi dapat dijelaskan bahwa kebakaran terjadi dan dapat berulang karena pengaruh iklim.


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