Railway Snowfall Status Evaluation And Prediction Based On Video Image Recognition

With the growth of Chinese economy, the mileage of newly built high-speed railway is increasing, and traffic accidents occur frequently. Therefore, traffic safety technology has become the focus of attention and research. Snow disaster as an important factor will cause traffic accidents. In addition, it will cause railroad power outage and line block. It will seriously affect the railway transportation capacity and transportation safety. In order to minimize the enormous losses caused by snow, the establishment of snow disaster preventing system is very important. Therefore, we must have an accurate and timely information for snow, such as the average thickness of snow and snowfall per unit of time. Only in this way can we perform better railway traffic warning. At present artificial measurement and laser measurement are two main railway measurement methods in China, the latter being accurate and timely. Nowadays the analysis technology of snow condition concerning video is lacking. Hence, this paper examines the issue from the following several aspects:Snow situation is analyzed through image processing technology. According to the moving target detection technologies, I proposed an improved snow detection analyzing method based on real-time video image recognition. The method consists of five parts: image preprocessing, five-consecutive-frame method of detecting snow particles, extraction of snow particles based on particle sizes, open the window to select effective areas, and calculation of real-time snowfall intensity. Statistical results of real-time snow particle density can be drawn, and the real-time snowfall intensity at monitoring points can be estimated.The formation mechanism of snow blown by wind is studied. It is summarized that the movement of snow particles are mainly creep shift, saltation and suspended load, and saltation accounts for the majority. The accumulation of wind-blowing snow depends mainly on the size of the wind field. And the accumulation forms of wind-blowing snow are concluded. Then a railway snow accumulation model is established and used as the main model to forecast and analyze the snow. The physical properties of the snow, present snowfall and history information of snow damage are correction conditions for the calculation of the model. The quantitative and qualitative analysis, and computer simulation combined with expert experience are used to forecast and analyze the snow condition. At last, corresponding protective measures are proposed.