Hazardous chemicals industry is a high-risk industry, all kinds of explosions, fires, leaks and poisoning incidents is occurred occasio(1)nally. So it is particularly important to forecast for hazardous chemical accidents and develop appropriate safety measures. In view of the analysis and summary of previous methods, an improved Hazardous Chemicals Accident Prediction method is proposed based on accident state vector in this paper. It defines the accident state vector using Multi-modal Data such as authoritative data, accident report, webpage, image, video, speech, etc. The Multi-modal Data is collected by web crawler which is built by open-source tools. The web crawler is an Internet bot which systematically browses the known hazardous chemical accident website, for the purpose of collecting Multi-modal accident data. As mentioned before, the Multi-modal Data is Multi format. In order to define the accident state vector easily, we divide the Multi-modal data into three dimensions based on the principle of accident causes. Respectively is the human factors, physical state factors, environmental factors. According to the geometrical distribution characteristics of support vector, it can be selected from the incremental samples that the sample of support vectors most likely to become forming a boundary vector set by adopting vector distance pre-extraction method, on which support vector training and accident prediction model build. It ensures the validity of predictive models due to various factors of the cause of the accident are fully considered by the accident state vector and advantages of support vector machines in high-dimensional, multi-factor, large sample datasets machine learning are exhibited. Sample experimental verification from the mastered accident of hazardous chemicals has showed that hazardous chemical accident prediction method proposed in this paper can effectively accumulate accident history information, possess higher learning speed and be positive significance for the safe development of hazardous chemicals industry.
