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Full Version: Fire Rescue System In Railways using LabVIEW
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Abstract - In the fast moving world, nobody is ready to look what’s happening around them. Even when an accident occurs nobody cares about it. So we have implemented a solution for this problem by developing an enhanced fire rescue system for reducing the number of victims in case of train fire accidents. This system has been developed and implemented using the smart sensors and microcontroller technology. It will automatically identify the fire accident and inform it to the loco pilot through wireless signal transmission. As an initial step, fire will be suppressed and intimation about the accident will be sent through Short Message Service (SMS) to the crossed and fore coming stations This SMS consists of the status of fire accident accurately by transmitting the physical parameters such as compartment number, intensity of fire. This also display the particular area code based upon that GSM Mobile network. The complete details about the location where the train is stopped, train details could be intimated from control room. As a whole this system ensures that it will reduce the human death ratio due to accidents. The whole supply is provided y means of solar.
1. Introduction
Railways are one of the best modes of transport in the world as they are much feasible and more comfortable to the passengers. Around 20 million people in India travel by train per year. The development of railways in our country took place rapidly; still there are numberless unsolved problems in the path of steady growth like train fire accidents, train collisions etc. The human death rate is increased due to these problems.


When comparing year by year the fire accidental deaths increased up to 7.7%. The railway needs to take safety and security of the passengers more seriously that it does now. Fire safety is every ones responsibility. All employees should know how to prevent and respond to fire. A Railway upgrade project has to be developed to increase the number of trains in the city by reducing the fire accidents in trains and providing safety to the passengers. Our project provides solution to fire accidents and ensures safety, reduces the death rate and losses to the government and the public.
The main aim of our project is to provide solution to fire accidents in train and usage of renewable energy sources i.e. solar. Thereby we can reduce the human death rate and ensure the safe journey of passengers. Solar power is used for the power supply in trains .This system helps in sensing the fire at the initial stage itself; thereby we can reduce the major fire accidents as well as the human death. So this will be a practical solution for real life challenges.
2. Literature Review
1. International Journal of Computer Trends and Technology (IJCTT) - volume4 Issue5– May 2013 ISSN: 2231-2803 Http://www.ijcttjournal.org Page 1005
THE IMPLEMENTATION OF AUTOMATIC FIRE RESCUING AND INFORMATION SYSTEM IN A TRAIN USING ZIGBEE AND SENSORS NETWORKS.
This paper deals about implementing a Zigbee and sensor based information and rescuing system in a train to alert the authorities about the fire accident occurred. They are used for both signaling and communication purpose. In this paper a discussion of proposed safety system for railway, using 16f877a microcontroller of PIC as hardware platform, and combine with Zigbee and wireless sensor
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network as a communication platform of wireless area network.
2. Journal of Marine Science and Technology, Vol. 12, No. 2, pp. 78-852803 Http://www.iee.org (2004)
HAZARDS IDENTIFICATION MODEL FOR RAIL RAPID TRANSIT ACCIDENTS.
The planning of accident prevention and emergency measures, therefore, are still important issues of the rail rapid transit operations. The model presented in this study analyses the process of hazard identification in two stages, which clearly indicate the factors of the inherent and direct hazard and the weaknesses in the response system.
3. Methodology
In this project, when a fire occurs due to any reason, the fire can be detected by the fire sensor which is placed in each compartment. The fire detectors are placed in all the compartments in train to sense the fire. Totally 9 sensors will be used for a compartment. The fire sensors are addressable and the signal from the sensor can be acquired to the LabVIEW. The loco pilot can view the status of each compartment through the monitor.