Zonal Estimation Method of Volatiles Concentration Based on Gaussian Diffusion Model and SVR

A zonal gas concentration estimation method, proposed in this paper, based on the Gaussian diffusion model and support vector regression is to improve the prediction accuracy of the gas concentration in the area where liquid hazardous chemicals volatilized. It Aims at the difficulty for a single sensor to estimate the gas diffusion in the whole space. It uses the Gaussian diffusion model as the basis. Meanwhile, lots of sampling data from a sensor array had been used to adjust its parameters, to improve the accuracy of the diffusion estimation. Then, using the support vector regression to correct the result of the Gaussian diffusion model can further improve the accuracy and retain good generalization capability. The experiment shows that the overall average error of this method in zonal concentration prediction is less than 19%, which is about 13.8% higher than the traditional estimation method like the Gaussian diffusion model. At the same time, it has a good generalization capability and improves the prediction effect of the overall situation of gas volatilization in the region by replacing the site monitoring method with zonal concentration estimation. This method provides an effective way for leakage identification and risks early warning in petrochemical enterprises.