Real-Time Fire Detection and Monitoring System Using IoT Case Study on: Chemical Industry Corporation Awash Melkassa Chemical Factory (CICAMCF)
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Abstract
The paper describes real-time fire alarm detection and monitoring system using Internet
of Things (IoT). The Awash Melkassa Chemical Factory (AMCF) is used as a case study
to show that the proposed technique the effectiveness of the proposed technique. The plant
had a conventional (analog) fire alarm system that had been out of service for almost 15
years. The system was out of operation due to a lack of replacement components and
technological obsolescence. The essential data is acquired from the factory through direct
involvement, and the outcome indicates that false alarms will occur frequently as a result
of the system being disconnected. In this work, we suggest a quick detection and reaction
from buildings (ground floor,1st floor & 2nd floor), a gas station, and a Sulphur melting
area in the event of a smoke/fire without manual call for help in real time monitoring and
analysis of the environment using Internet of Things (IoT). Three fire scenarios, three
temperature scenarios, and two manual call point scenarios are included in the real
simulation test at AMCF's buildings (ground floor, 1
st floor & 2nd floor), gas station, and
Sulphur melting area. Various results were recorded during the studies, including smoke
detector, temperature sensor, and MCP. In our system, monitoring and event detection are
performed automatically in the event of an abnormal scenario, based on real-time data
capture. As part of the response, the system turns off the main power system and activity
output devices, and LabVIEW software sends insurance and fire department notifications.
For further study, all data, including time and date, can be exported as an excel sheet. A
Signaling Line Circuit (SLC) is used in addressable fire alarm systems to connect with
sensors and complete the system. When compared to traditional systems, these systems
offer more versatility and functions. Furthermore, if a problem with the addressable fire
alarm system arises, the information from the panel will assist the operator in determining
the source of the problem. As a result, addressable fire alarm systems are the most crucial
issue in the industrial sector, particularly for fire and insurance companies. The
performance analysis of the study is based on the design and modeling of the system. using
Micro C Pro, Proutse, and Lab VIEW software.
