This work develops an improved automated fire management scheme on leveraging mathematical formulations
by integrating signal detection filters for the detection of predetermined signal properties, adopting a scheme
for energy release prediction as an efficient means of reducing both rate of false alarm/the rate of failure to
alert and finally tuning the microcontroller using PID control. These three formulations are then enshrined
and implemented through the control program in the microprocessor of the proposed system. These
mathematical formulations would help improve the overall response of the system by ensuring it minimizes to
the barest minimum, cases of false alarm triggering and false response to what is not fire. The simulation model
leveraging on the mathematical models of the algorithms enumerated then characterizes the behaviour of the
system. The simulation model is characterized with PROTEUS ISIS 7.8 to give a true life scenario. The
proposed system would work in real time when fire is detected, alert the occupant and start suppression
immediately, thereby minimizing collateral damage and fatality.
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