In the actual production

in the view of structural and environmental factors which bring the problem of nonlinear input and output of the methane explosion detector

chaotic ant colony algorithm and BP neural network can be used in the methane explosion detector to improve the gas sensor precision.Shortcomings of slow rate of convergence and easy to fall into local optimum in the BP neural network can be improved by the optimization of chaotic ant colony algorithm.The experiment show that BP Neural Network based on chaotic ant colony algorithm optimization can improve the precision of gas detection system.