Implementation and Evaluationof a Fire Risk Indication Model

Abstract

During the winter seasons there will often be a higher risk house fires due tothe dry climate as the result of cold weather. The fire department, and otherclients, would therefore have benefit of a fire risk indication system that canhelp alert them regarding higher risk of fire.The thesis questions the use of a mathematical model to indicate the firerisk, as well as determining a suitable software architecture that can supportboth deployment and evaluation.The mathematical model gave accurate fire risk readings, indicating that itcan be used in real world situation to show the increase and decrease in fire riskwith the use of multiple data sources. With regards to the software architectureit was feasible to find a software architecture that could both be used in theevaluation of the model, but also as a basis for the application when put intoproduction.