Abstract: The railway mixing station plays a vital role in the railway construction process. All the concrete used in the construction process is provided by the on-site mixing stations, while the operating condition of the mixing machine at the mixing stations can directly affect the overall quality of the project. In the existing construction standard, all data indicators are stipulated in the process of mixing machine operation. There are also different stipulations for the conditions which do not conform to the standards. Based on the data collected by the information management platform of railway engineering construction, this article made an in-depth analysis on the existing alarm data of mixing machine by means of the big data analysis platform. The data cleaning and data association were carried out by coding or manual identification adopting methods such as data cleaning, data association, etc. Meanwhile, the article made a concrete analysis on the alarm information of different types and different grades such as the time alarm and material alarm, explored the distribution regularities for different levels of alarm in the time dimension, got the relationship between mixing machine alarm and time, laid the foundation for the next step to predict the mixing station alarm.