Abstract: In order to ensure the safety of train operation, reduce the input of safety equipment and improve the efficiency of safety management, this paper designed the scheme of railway permanent way equipment safety portrait application based on railway data service platform. Based on the analysis of the current situation of railway permanent way equipment detection, combined with railway data service platform, this paper used machine learning framwork and big data governance technology, to design the application function of railway permanent way equipment safety portrait from four aspects:equipment status index statistical analysis, equipment unit safety evaluation, key index and safety trend prediction, high-risk equipment and bad situation safety early warning, which could assist the business personnel to quickly locate the data and make a more intuitive judgment on the safety situation of the railway permanent way equipment, so as to prevent the accident failure caused by the unstable state of the equipment and implement the advance prevention of the accident failure.