Paper Info
Title
FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics
Abstract
Fire is the most widespread cause of death by accident. Fire affects thousand of residents each year, resulting in injury and loss of life. In this paper, an Internet of Things (IoT) based Fire Detection System (FireDS-IoT) is designed to prevent people from fire by providing an alert message in the emergency. The system is designed using MQ-135 (CO_2), MQ-2 (smog), MQ-7 (CO) and DHT-11 (temperature) sensors embedded with Arduino to get the fire event information in the surrounding more accurately. This research distinguishes the conditions in a surrounding as fire, no fire, and may be fire. This classification is performed using the K-Nearest Neighbors (K-NN) and decision tree machine learning algorithms in Python. Several scenarios were recorded in the experiment for training. Results show that K-NN and decision tree shows an accuracy of 93.15% and 89.25%, respectively. As a result, we were able to prove that K-NN provides more accuracy in detecting fire. Therefore, it is used for classification, and if fire conditions arise then a safety message is sent to the registered mobile number using Python programming.
Year
DOI
Venue
2018
10.1109/ICIT.2018.00042
2018 International Conference on Information Technology (ICIT)
Keywords
Field
DocType
Temperature sensors,Decision trees,Machine learning,Machine learning algorithms,Fires,Temperature measurement
Data science,Data analysis,Computer science,Internet of Things,Real-time computing,Home automation,Fire detection
Conference
ISBN
Citations 
PageRank 
978-1-7281-0259-7
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Sourav Kumar Bhoi1348.38
Sanjaya Kumar Panda24712.46
Biranchi Narayan Padhi300.34
Manash Kumar Swain400.34
Balabhadrah Hembram500.34
Debasish Mishra600.34
Chittaranjan Mallick700.68
Munesh Singh800.68
Pabitra Mohan Khilar916821.65