A Distributed Wireless Heat Monitoring System for Early-Fire Detection and Prevention

Abstract

Fire outbreak contributes greatly to loss of lives, properties and valuables. In order to avert such losses, reliable fire detection, notification, and prevention systems are crucial. Heat, the common indicator for fire development, requires to be monitored and controlled in a flammable environment. This paper has therefore developed a distributed approach to the detection and prevention of fire development by monitoring the inducing heat, smoke and early fire. The study proposes a model for the heat sensing and also for the control function of the system. It designs and implements the four sensing nodes, one base node, and the control and alarm system with resourceful hardware devices. The heat and smoke status of the environment is relayed for prompt action through a local user window on the administrator's personal computer (PC) and mobile phone. The local user interfaces and the internet cloud are designed for data relay and recording. The system is tested and evaluated for real-time deployment and operations. The resulting data are analyzed and reported.

A multipart distributed modelling approach for an automated protection system in open-air cloth drying

“…The system sensing unit is modelled using the adaptive method as put forward in 2001 [19] for the two inputs sensors in each node as illustrated in Figure 3. The integrated approach which is supported in the study [20] is used to incorporate the distributed nodes for monitoring the two basic factors within a defined controlled area of cloths spread or hanging: the weather condition and the drying status of the cloths. The output of each sensing node presents a discrete function that has the transfer function of the described matrix, the state equation for the memory of the node which is an integrator, and the output equation in (1) to (3) respectively.…”