Research and application of accident hazard prediction based on matrix decomposition

Xinyan Wang; Yize Wei; Yangting Wang; Guangjun Qin; Ruixin Zhang

doi:10.1117/12.2635697

6 May 2022 Research and application of accident hazard prediction based on matrix decomposition

Xinyan Wang, Yize Wei, Yangting Wang, Guangjun Qin, Ruixin Zhang

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225631 (2022) https://doi.org/10.1117/12.2635697
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

Safe production is related to the company's economic benefits or even survivals, and an important goal pursued by the company. It is basis to predict hazard precisely for controlling hidden dangers, eliminating hidden dangers, and improving the company's safety production capacity effectively. In this paper, the example of safety production hazard investigation is studied based on cloud service. First, the company's existing hazard data is used to classify statistics, normalize data and convert to grade. Second, the matrix decomposition method is introduced to predict the hazard degree of the company with hazard data of company and safety supervision department. By comparing the prediction data with the actual hidden data, it is show that the matrix decomposition method can be well used in hazard prediction in the enterprise to better eliminate hidden dangers.

Citation Download Citation

Xinyan Wang, Yize Wei, Yangting Wang, Guangjun Qin, and Ruixin Zhang "Research and application of accident hazard prediction based on matrix decomposition", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225631 (6 May 2022); https://doi.org/10.1117/12.2635697

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