Abstract
Fire monitoring in local urban markets within East Africa (EA) has been seriously neglected for a long time. This has culminated in a severe destruction of life and property worth millions. These rampant fires are attributed to electrical short circuits, fuel spillages, etc. Previous research proposes single smoke detectors. However, they are prone to false alarm rates and are inefficient. Also, satellite systems are expensive for developing countries. This paper presents a fuzzy model for early fire detection and control as symmetry’s core contribution to fuzzy systems design and application in computer and engineering sciences. We utilize a fuzzy logic technique to simulate the performance of the model using MATLAB, using six parameters: temperature, humidity, flame, CO, CO2 and O2 vis-à-vis the Estimated Fire Intensity Prediction (EFIP). Results show that, using fuzzy logic, a significant improvement in fire detection is observed with an overall accuracy rate of 95.83%. The paper further proposes an IoT-based fuzzy prediction model for early fire detection with a goal of minimizing extensive damage and promote intermediate fire suppression and control through true fire incidences. This solution provides for future public safety monitoring, and control of fire-related situations among the market community. Hence, fire safety monitoring is significant in providing future fire safety planning, control and management by putting in place appropriate fire safety laws, policies, bills and related fire safety practices or guidelines to be applied in public buildings, market centers and other public places.
Highlights
With the recent development and advancement in Internet of Things (IoT) technology, it is estimated that, by the year 2020, approximately 50 billion devices shall be connected to the internet [1,2]
The convolutional networks (CNN) method enables a broader coverage area of Results show that using the CNN method significantly improves fire detection and alerting response, interest
We observe that, during the initial stages of a fire outbreak, there are lower temperatures experienced amidst high humidity conditions, translating into lower fire intensity (EFIP)
Summary
With the recent development and advancement in Internet of Things (IoT) technology, it is estimated that, by the year 2020, approximately 50 billion devices shall be connected to the internet [1,2]. The development of IoT-based platforms shall subsequently provide the fire area with an opportunity to develop low-cost, effective and reliable solutions to combat the recurrent fire-related situations in the local urban markets within the East Africa (EA) region before severe disastrous consequences emerge. EA’s regional urban markets have suffered severe fire outbreaks within the last 10 years. Lack a comprehensive contingency plan to manage, contain and safeguard against any fire-related phenomena despite previous encounters. This has resulted in a severe destruction of both human life and property
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