Scheme Design of Railway Predictive Maintenance Based on IOT and AI Technology

Abstract

With the rapid development of railway, the predictive maintenance of railway is more and more worthy of study. This paper analyses the development process of railway maintenance in China, evaluates the traditional application of corrective maintenance, analyses the mature application of preventive maintenance, and expounds that predictive maintenance has been applied. This paper analyses the benefits from four aspects: saving cost, reducing unexpected downtime, prolonging asset life cycle and enhancing customer satisfaction, and summarizes the key success factors of predictive maintenance from the aspects of method, scope, team and change, especially designs predictive maintenance priority matrix for selection of maintenance objectives. Finally, the paper summarizes and designs the architecture of predictive maintenance platform based on Internet of things and AI. This paper will provide a meaningful scheme reference for China Railway to formulate predictive maintenance strategy and vigorously promote this work.