Artificial intelligence applications in the design of SPE virtual reality operation training system

It is necessary to inspect periodically in maintenance of the STE (special type equipment). However, it requires a lot of workforces with a high degree of technical skill in assembling and disassembling various sorts of STE in hazardous environment. Since physical simulation prototypes are too sparse and extremely costly to be a training substitute, we have to study the development of the STE VROTS (Virtual reality operation training simulator) named VROTS-MAD which can be used easily by novice users. The focus of this paper is the artificial intelligence applications in the design of VRTOS-NUD. The artificial intelligence applications are analyzed as three aspects: kinematics models managing based on knowledge, VE manager designing based on environment semantics constraint; multilevel operation monitoring based on simply plan recognition.