Remote control ship human factor reliability analysis system and control method thereof

Abstract

The invention discloses a remote control ship human factor reliability analysis system and a control method thereof, and relates to the field of intelligent ships, and the system comprises: an accident scene setting module which is used for setting accident parameters of each emergency training; the shore-based control module that is used for controlling the intelligent ship based on each operatorto obtain behavior data; the evaluation analysis module that is used for carrying out human factor error rate evaluation on the performance of the shore-based control personnel according to the obtained behavior data through the emergency disposal process and method of the control personnel on the maritime affairs; the modeling simulation module that is used for establishing a dynamic response model and humanoid agent simulation according to data of the accident scene setting module, the evaluation analysis module and the shore-based control module; and the training module that is used for replacing part of control personnel to train the control personnel through the dynamic response model and the humanoid agent simulation. According to the invention, the emergency disposal capability ofpersonnel can be improved.

Description

technical field [0001] The invention relates to the field of intelligent ships, in particular to a remote control ship human factor reliability analysis system and a control method thereof. Background technique [0002] The operational reliability of remote-controlled ship personnel refers to the probability that the operator of the coastal base station will remotely control the smart ship to complete the task correctly within the specified time and under the predetermined working conditions. The occurrence of operational errors is not random, but is related to the complexity of the operational task The degree of quality, the quality of the environment, the experience of the operators and the mutual organization between the operators are closely related. [0003] With the development of intelligent technology, intelligent ships have become the current development trend, but artificial intelligence cannot completely replace human beings. In the face of major tasks, human bein...

AI Technical Summary

Problems solved by technology

[0003] With the development of intelligent technology, intelligent ships have become the current development trend, but artificial intelligence cannot completely replace human beings. In the face of major tasks, human beings are still needed to extract, judge, and command and dispatch accident information. The types of accidents and environmental factors are complicated, and the requirements for operators of shore-based intelligent ships are also correspondingly increased. This not only requires operators to judge the type of accidents after each accident, but also to extract information about accidents in a timely manner and to use existing resources. Familiarity with each link such as reasonable scheduling

However, various safety accident reports reveal that when some maritime safety accidents require personnel to operate and rescue, there are often many problems such as information judgment, equipment operation, and personnel experience, especially in the case of intelligent ships and remote control. Under the high requirements, simple judgment and analysis can no longer meet the requirements of remote control of shore-based intelligent ships

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