Design of integrated architecture of Web Service-Based diagnosis system for TBM

Abstract

Tunnel Boring Machine (TBM) is widely utilized in tunnel construction. Effective fault diagnosis of TBM is vital for the safety of tunnel boring since the failure of TBM might cause harm for the workers accompanying with the loss of time and economy. A Web Service-Based Remote Diagnosis System (WSRDS) with Bayesian network (BN) as the faults analysis model is proposed in this paper. BN is a concise, practical and intuitive method to determine the exact cause for failure. The WSRDS enables an easy access for the diagnosis system of TBM and highlights an enhancement to the ubiquitous information processing. Taken the thrusting system of TBM as an example, the architecture of the WSRDS is formulated and the function of every module is described. The key system modules including general diagnostic procedure and integrated design of the diagnostic database are elaborated. The WSRDS could effectively realize the data integration among distributed enterprises of heterogeneous systems and greatly improves system reusability. The proposed WSRDS might have a promising wide application in the maintenance of TBM.