The invention provides an ancient building adaptive composite
fire detection alarm model construction method, and relates to the field of
fire detection, and the method comprises the following steps: firstly, carrying out on-site survey to obtain an ancient building structure and internal decoration combustibles and
layout, and employing a
cone calorimeter to measure the
combustion performance parameters of building materials and decorations; then, FDS
software is adopted for conducting three-
dimensional modeling and computational grid division, boundary and condition setting,
fire point and fire source
power setting, detection point position setting and the like on the internal space and display of the historic building, and data sets of CO concentration, CO2 concentration, O2 concentration,
smoke shading rate and temperature parameter changes in the fire occurrence and development process are obtained through numerical
simulation calculation; and finally, learning and training the initial multi-characteristic parameter data of the fire through a BP neural network, continuously correcting and optimizing in application, and constructing a self-adaptive fire alarm model, thereby more accurately and comprehensively sensing the fire of the ancient building, and realizing accurate early warning of the early fire.