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Fire detection and protection are major problems in factories. A closely related problem is to localize fire sources to effectively extinguish those. In this paper we presented development of a moderate cost wireless sensor network based fire detection system with indoor localization capability. In Bangladesh, where large numbers of garment factori...
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... evaluate the mathematical model three motes were kept in a known coordinate system [ Figure 10]. In the test the size of the test bed was 6*15 feet. ...
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... three motes were placed in (6, 0), (0, 15), (6, 15) respectively, then the system was powered on to confine the fire. If an intersecting area is found in the graph with three circles on the motoring window then it will be a success and will confirm the equations as right [ Figure 10]. ...
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Citations
... Liu et al. (Liu et al. 2018) developed a fire detection approach by combining data from different sensors including temperature, humidity, light and smoke. Islam et al. (Islam et al. 2015) developed a fire detection system with fire localization function via ZigBee based wireless sensor network. The employed sensors include flammable gas sensor, temperature sensor and infra-red light sensor. ...
Forest fire causes severe economic and ecological damage each year. Timely detection of forest fire in the early stage could effectively avoid possible disaster which requires efficient smoke recognition instead of fire identification. However, the appearance of smoke might share similarity with the background which makes accurate smoke detection difficult. In addition, in contrary to the normal state forest images, it is much more difficult to collect early stage forest fire images, so the available training data for forest smoke detection is severely imbalanced. To address the above issues, a dark channel boosted convolutional neural network has been developed for smoke detection termed as DarkCNN. A Min pooling layer is designed and adopted next to the input layer to extract the dark channel feature of the image. The dark channel of an image could enhance the difference between the smoke and non-smoke pixels and thus provide more discriminant features. To address the imbalanced data distribution problem, weighted softmax loss was adopted to train the DarkCNN. In addition, to localize the smoke region within an image with low time cost, a pipeline combining Simple Linear Iterative Cluster (SLIC) algorithm and DarkCNN has been developed which has much lower computational complexity than methods like R-CNN and its variants. SLIC is employed to segment the image and generate smoke candidates for DarkCNN. The classification results are used to localize the smoke region. Extensive experiments have verified the efficiency of DarkCNN for smoke detection based on single frame.
... An MWIR based sensor is good at detecting flames and heat through air currents when a general location of the fire is known, but it fails to achieve constant monitoring needs in urban environments. Researchers [20] suggested optimizing the redevelopment cost of urban areas to reduce fire susceptibility. This approach leaves the traditional methods altogether and focuses on long term redesigning the settlements. ...
Fire alarms play an important role in residential safety work. While the Fire Services are the first line of defence against fire accidents, they are heavily under-resourced and lack adequate manpower. After analysing the needs of the Indian Fire Department, this paper proposed a IoT-architecture based fire alarm system that alerts the owner and fire station of a fire outbreak. This paper also uncovers the ideal conditions to set off the fire alarm based on the temperature, humidity and the nature of gases present in the environment using the decision tree algorithm. Several cases are recorded for experimentation and training. Results show 91.15% accuracy in detecting fire.
... An MWIR based sensor is good at detecting flames and heat through air currents when a general location of the fire is known, but it fails to achieve constant monitoring needs in urban environments. Researchers [20] suggested optimizing the redevelopment cost of urban areas to reduce fire susceptibility. This approach leaves the traditional methods altogether and focuses on long term redesigning the settlements. ...
Fire alarms play an important role in residential safety work. While the Fire Services are the first line of defence against fire accidents, they are heavily under-resourced and lack adequate manpower. After analysing the needs of the Indian Fire Department, this paper proposed a IoT-architecture based fire alarm system that alerts the owner and fire station of a fire outbreak. This paper also uncovers the ideal conditions to set off the fire alarm based on the temperature, humidity and the nature of gases present in the environment using the decision tree algorithm. Several cases are recorded for experimentation and training. Results show 91.15% accuracy in detecting fire.
... Arduino Uno is a microcontroller board based on the ATmega328P [10]. Arduino Mega has an open-source platform used for building electronics projects. ...
Liquefied Petroleum Gas (LPG) is readily available to consumers around the world because LPG is a clean, portable, and efficient source of energy. LPG is currently used by hundreds of millions of people in the world and there are more than 1000 applications. LPG cylinder may leak as a liquid or a gas. If the source of ignition and gas meets LPG can explode or burn. LPG can make the lives of the people in the house endangered and can cause cold burns to the skin. To ensure the safety and security of the consumers using LPG the study aims to develop a device that can detect gas, smoke, and flame from the LPG cylinder and can notify the owner via text messages applying a rule-based approach. The system can display also a warning message and can alarm the owner using a buzzer. The researchers conducted functionality testing with twenty (20) trials in checking the accuracy of the system were obtained a 100% accuracy. This proves that the system is reliable and efficient when using at home by the consumers.
... However, one of the disadvantages is that the signal is confined to 10 meters. Another fire detection system was also developed by Islam et al. [10] using a similar wireless network. This system has a localizing capability. ...
... However, sometimes people are often negligent in performing monitoring activities on a regular basis at home. Utilization of wireless sensor network technology can improve the anticipation of the occurrence of fire hazards at home by monitoring in realtime and can replace human tasks in monitoring the situation around the home by using multiple sensors which can directly interact with the environment [3]. ...
... T. Islam et. al. [7] developed a fire detection system using the ZigBee wireless system. The authors used localization technique for finding the position and distance of fire. ...
... At the same time, the fire fighting and rescue work in the first time after the fire has become a new idea for the development of fire fighting robots, using mobile The robot performs this task in areas prone to fire, which can help avoid unfortunate accidents or death [4]. [10]; image processing is used to detect Fire [11] has emerged in recent years; documents 12-14 propose the use of multi-sensors to solve the problem of fire source detection and positioning [12]- [14]; proposes how to optimize the design of fire-fighting robots [15]- [17]. In addition, the air hose type robot [18] for fire water jets mentioned in the fire extinguishing measures document 18 is used for fire extinguishing; the use of a fan blown flame source [19] is proposed in the literature 19. ...
... When it comes to garment plant the fireplace ought to be detected as presently as attainable because garments are sensible to fire. A system [6] was designed for controlling and monitoring by using various sensors like CO, and temperature for sensing fire and starting fire extinguishing process. ...
For the protection and safety of the garment plant staff has becoming a biggest issue now a days. The garment plant employees face a lot of problems and broken out of fireplace one of them for sure. The depositors aren't showing any interest in this sector and importance of this sector is obtaining toneless. In this research a fireplace detection system is propounded and conjointly provides information of the region affected. Here we used ARM7which are embedded with different types of sensors .We provide associate authentication system to avoid warning. The system can instantly send a SMS to the admin. The admin will make sure or deny the information. If the admin make sure breaking out of fire then system can right away raise an alarm and a SMS will be sent to the nearby fire brigade.
... For the indoor localization, 2D trilateration has been used to find a tagged object that is located on the specific surface. In fire detection system for libraries has been proposed that uses IRIS nodes and temperature sensors [6]. The designed system is implemented on the TinyOS platform and it is reported that the new system generates alarm react in about 3 seconds. ...
The fire detection is a strong interest for the home surveillance services the smart home. We have a great potential to reduce the devastation caused the fire, and use the information through image processing and information technology in fire detection. This paper presents the intelligent fire push notification service based on IP camera and Web application server with real time processing practically for the mobile user in smart home. We support an automatic fire identification based on the camera image and to alert the fire situation, and to warn the mobile user consequently. And, we design and implement the fire detection using flame color feature extraction of the IP camera images and a push notification mechanism based on IETF HTTP protocol for the mobile user. Also, we evaluate the processing time of the fire detection and push notification to verify the performance of the proposed service. The proposed fire push notification service is intended to improve the home surveillance in terms of practical mobile approach for the safety home environments.
