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Safety in underground work is becoming increasingly important, and traditional management methods and tools are already challenging to adapt to site management needs. Based on this, the status of the application of big data analysis technologies in Chinese underground work enterprises is presented, and the practical application of big data analysis technologies for operational safety risk control is discussed, providing a theoretical basis for decision-making, supervision and control in the underground safety industry. With the rapid development of urban railway transportation in China in recent years, the safety situation faced by enterprises operating worldwide is becoming more and more serious. The operation of underground lines includes equipment maintenance, traffic management, equipment monitoring, passenger management and other professions. It is necessary to make full use of modern information technologies, integrate data and information sources from different professions and workplaces, and accelerate the development of a centralised data and intelligence management platform, which is essential for reasonable risk prediction, identification of hidden risks, utilisation of safety resources, preparation of essential safety pictures and emergency response.
Jiahang Hou (Fri,) studied this question.