ASSESSMENT METHOD FOR ENGINE-ROOM RESOURCE MANAGEMENT BASED ON INTELLIGENT OPTIMIZATION

作者：Duan, Zun-Lei^*; Cao, Hui; Ren, Guang; Zhang, Jun-Dong

来源：Journal of Marine Science and Technology (Japan), 2017, 25(5): 571-580.

DOI：10.6119/JMST-017-0710-1

• engine-room resource management
• intelligent assessment
• genetic algorithm
• simulator

According to the statistics of the International Maritime Organization, 80% of accidents are related to human factors. To reduce human errors in engine rooms of ships and promote the safety of maritime navigation, the training model and assessment method for engine-room resource management (ERM) were examined in the present study. The man-ship-resource system model and an assessment method based on intelligent optimization are proposed. In this method, the knowledge base, assessment index membership functions, and optimal objective functions were constructed first. The index weights were then computed using the historical assessment data and optimized using the genetic algorithm and game strategy. Finally, after the operational processes and system parameters were continued, the fuzzy relationship matrixes were obtained, and the assessment results were produced by multiple fuzzy comprehensive assessment. The method was developed in a 3D collaborative training simulation system. This demonstrated that the method was more capable than others of meeting the special requirements for ERM. The relevant design scheme and technical method have been successfully applied in the engine room assessment system of the national seafarers' assessment center in Shanghai, P. R. China.

• 出版日期2017-10
• 单位大连海事大学