Semi-Physical Simulation Based Ergonomic Evaluation In Fully Automatic Operation Control Center

Fully automatic operation, also known as unmanned system, is a kind of train operation mode of automatic and high-focused. But this system doesn’t mean no person participating, it places the people in a higher decision-making and regulators levels. The FAO control center is concentrated more on functions, which contain train operating, passenger monitored and station control. Compared with the traditional control mode, the dispatchers have heavier tasks and risk. So, it is necessary for assessment of human-machine compatibility and its evaluation method of the FAO control center. In this thesis, with the target of assessment of human-machine compatibility of the FAO control center console, based on analysis of human factor research methods and research status of virtual human technology, FAB motion capture and system and JACK human factor software is introduced to design semi-physical human-factor simulation evaluation system. The works is completed in the thesis as follows:1. The overall scheme of semi-physical human-factor simulation evaluation system based on task sequence is proposed. The system is divided from the perspective of the flow of information and function achievement into three subsystems such as task analysis, data collection and human factor evaluation.2. On the basis of the Hierarchical Task Analysis (HTA) and therbligs analysis, the FAO scene tasks is analyzed,26 typical scheduling tasks are sorted out, to establish the standard motion database of FAO typical scheduling task and acquire the typical task sequence.3. Through the analysis of site-investigation and task scheduling analytical model, in the thesis the model machine of FAO control center console and virtual simulation mapping model are designed and established.4. Based on the analysis of JACK virtual human skeleton structure and the collect on of somatic data with the FAB motion capture system, the virtual human driving control algorithms based on the motion capture data is obtained.5. Then the motion capture data transmission interface is developed on the JACK secondary development platform to improve the human factor evaluation tools so as to achieve the automatic human factors evaluation of real-time posture of virtual human.Finally, with an example of FAO control center console, a confirmatory experiments is conducted on the semi-physical human-factor simulation evaluation system based on the typical task sequence to test the practicality and efficiency of the system, used assessment of human-machine compatibility of the FAO control center console and sitting posture as operation posture of other human-machine interface.