The invention discloses a method for assisting in generating a special fire emergency
car model through
artificial intelligence, and belongs to the crossing field of
artificial intelligence and car design. The method aims to overcome the defects of traditional forest fire fighting vehicle design, and the forest fire rescue efficiency and the firefighter safety are improved. Data such as fire fighting
truck 2D drawings, forest fire cases, fire fighting demand feedback and the like are widely collected through multiple channels and are cleaned, labeled and structured, and effective data are divided into a
training set, a
verification set and a
test set according to a specific proportion. A
deep learning model (such as GAN or VAE) is selected and optimized according to the
design characteristics of the forest fire-fighting vehicle, and the model is stabilized through a large amount of iterative training. A design keyword is input to generate a 2D sketch,
big data analysis is utilized to screen, evaluate and optimize for multiple times, a 3D model framework is generated by means of a 3D generation AI model, fine optimization is performed after multi-dimensional evaluation, and finally a 3D model which is vivid in color and meets actual combat requirements is generated. By utilizing the
artificial intelligence technology, the design efficiency is greatly improved, the adaptability of the automobile to the forest environment is enhanced, the safety of firefighters is guaranteed, the
industrial technology progress is promoted, and remarkable economic and
social benefits are achieved.