Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques

In oil and gas industry, fire outbreak is one of the main accidents in onshore
and offshore facilities. The damage caused by the fire could be minimal or extensive,
hence the Fire and Gas Detection Systems are critical systems used to safeguard
hazardous area in process plant. Such systems are installed to protect lives,
enviromnent, monetary assets and reputation of the company. The main concern of
fire detection system is to provide adequate number of detectors that scan through an
enclose hydrocarbon processing area which consists of hazardous equipment. In
reality, it may be impossible to build a fire detection system that cover the whole
plant and detect all possible hazardous scenarios. Therefore, this project attempts to
solve this problem and improve the fire detection system by developing software that
will optimize the fire detectors location on 2.5 dimensions in order to find the
optimum coverage that will achieve the desired level of protection taking into
account Hazard Map. MAT ALB was used to develop the software based on Image
Processing and Boolean Techniques. In fact, this project has valuable contribution
and useful solution to oil and gas industries