Smart Sensor Network Based Fire Rescue System Design using LabVIEW
Nagarjuna Telagam1, Sunita Panda2, Nehru Kandasamy3, Menakadevi Nanjundan4
1Nagarjuna Telagam, Assistant Professor, ECE Department, GITAM University, Bangalore, India
2Dr. Sunita panda, Assistant Professor, ECE Department, GITAM University, Bangalore, India
3Dr. K. Nehru, Professor, ECE Department, Institute of Aeronautical Engineering, Hyderabad, India
4Menakadevi Nanjundan, Assistant Professor, ECE Department, Hindustan College of Engineering and Technology, Coimbatore, India.
Manuscript received on 17 March 2019 | Revised Manuscript received on 21 March 2019 | Manuscript published on 30 July 2019 | PP: 3372-3380 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3010078219/19©BEIESP | DOI: 10.35940/ijrte.B3010.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper enhances fire rescue system for reducing the number of victims in case of fire accidents. This system has been developed and implemented using the smart sensors and LabVIEW technology. It will automatically identify the fire accident and inform it to the rescue team (loco pilot for trains, security in buildings) through voice signal transmission. Servo motors are connected to water sprinklers to control fire. As an initial step, fire will be suppressed and intimation about the accident will be sent through short message service to the local fire stations, ambulance. This short message service consists of the status of fire accident accurately by transmitting the physical parameters. This also display the particular area code based upon that global system for mobile network. The complete details about the location (buildings, trains) could be intimated. With simple camera the number of members entered into the room can be known. So that directly saves the people instead of searching every room. As a whole this system ensures that it will reduce the human death ratio due to accidents.
Index Terms: Data Acquisition, LabVIEW, LM 35 Sensor, GSM.
Scope of the Article: Ad hoc and Sensor Networks