Abstract

Port intelligence has become an important part of coastal cities to build smart cities. Equipment maintenance at the container terminal is an important event related to production safety and efficiency, however, in the field of container terminal equipment maintenance and management. There has always been the problem of high maintenance costs and long maintenance cycles, simultaneously, the weak technical force and low degree of intelligence exacerbate this problem. In order to solve the above problem, a reliability-centered maintenance (RCM) strategy is proposed. In the practice of this strategy, the shore crane is chosen as the research object, Failure Mode and Effects Analysis (FMEA) is used to analyze the failure mode and impact of the shore crane's function. The methods of expert investigation and field investigation are used to identifying the causes, modes and effects of the failure of each subsystem. The cumulative failure rate of port machinery was calculated and analyzed, and its probability is scored, aims to minimize preventive maintenance cycles. Based on this aim, the preventive maintenance period of the shore crane is calculated. The consistency of the numerical results was verified by MATLAB. The results proved that this strategy while achieving safe production, at the same time, the strategy can improve the operation efficiency, a more reasonable maintenance and management strategy on container terminal machinery and equipment can be developed.

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