Abstract

The cargo handling system is the second largest system of oil tanker, which directly operates on the cargo oil. By assessing its health status, it can grasp the deterioration trend of the system equipment, and then early warn the fault to take corresponding measures to ensure the timely and safe completion of cargo handling task. By analyzing the factors affecting the health status of the oil tanker handling system in operation, this paper constructs an evaluation index system from cargo tank, cargo oil pipeline, cargo oil pump, cargo pump cabin and steam turbine. Matching the corresponding deterioration degree calculation to obtain the relative deterioration degree, and then applying the variable weight theory to adjust the index constant weight. Introducing a normal cloud model with ambiguity and randomness to replace the traditional membership function, transforming the deterioration degree of the evaluation index into the health evaluation level membership degree, and combining with the fuzzy comprehensive evaluation method to establish health state assessment model for the oil tanker handling system in operation. Taking a 49,000 tons crude oil tanker as an example, the monitoring data of the cargo handling system at three times is selected, and the above-mentioned model is used to calculate the evaluation results to determine the health status. By analyzing the relative deterioration degree to determine the cause of the result, and comparing with the operation and maintenance records, the results show that the method can reflect the health status of the cargo handling system and provide a basis for adjusting the loading and unloading tasks, which helps to prevent serious failures occurred.

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