Big Data Platform for Faults Prediction Diagnosis of CBI

Safety and reliability have always been the most concerned research of computer based interlocking system(CBI). With the rapid development of computer technology, information network technology, new material technology and digital technology, CBI system itself produces massive and complex data, which has become an important resource for innovation and development of CBI system. How to use these massive data to help the system complete automatic or semi-automatic fault diagnosis, and then ensure the safe operation of the system, has become the focus for various interlocking manufacturers. This paper introduces Fail-Safe, several fault model analysis methods, and introduces a big data platform which can be used for fault prediction and diagnosis analysis methods.