Hybrid driving method for virtual human maintenance actions

Abstract

The invention discloses a hybrid driving method for virtual human maintenance actions. The hybrid driving method comprises the following steps: realizing maintenance information modeling through an assembly module in CAD; virtualizing human maintenance operations in a three-dimensional virtual environment according to the maintenance information model; performing hybrid driving on the virtual human actions by use of real-time motion capture data and a model algorithm; driving local maintenance actions and transitional maintenance actions by use of the real-time motion capture data, and automatically switching the driving to model algorithm driving and improving the efficiency and accuracy of virtual human action driving by an attitude constraint machine when fine maintenance action constraint recognition and matching are performed by a virtual hand or a maintenance tool or a dismantlement tool, and meanwhile, performing evaluation according to a user-defined quantification criterion by automatically extracting the human-machine efficacy information of key frames in the maintenance process, and designing an experiment to perform dependability evaluation on a quantification result.

Description

technical field [0001] The invention relates to a driving method, in particular to a hybrid driving method for virtual human maintenance actions. Background technique [0002] The maintainability problem is a basic common problem of complex equipment, which runs through the whole life cycle of the equipment. Maintainability has become an important indicator for evaluating equipment performance. Poor maintainability design not only increases maintenance costs, but also reduces equipment utilization. Complex equipment such as aircraft, radar, and large-tonnage crawler cranes have high maintenance requirements, and it must be ensured that they can be restored to the specified functional state within a specified time. Therefore, in the design stage of complex equipment, it is necessary to formulate detailed maintenance instructions to describe disassembly , detection, replacement / repair, installation and commissioning, etc., to ensure rapid, safe and accurate maintenance operat...

AI Technical Summary

Problems solved by technology

[0031] The purpose of the present invention is to provide a hybrid driving method for virtual human maintenance actions, which will propose a virtual human maintenance action driving mechanism that mixes real-time captured data and model-driven, researches and solves the problem of low accuracy of virtual human action in the driving process, fine interactive disassembly and assembly Difficult operation and low navigation efficiency

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