面向pc的低成本操作员培训虚拟环境[电站]

E. K. Tam, C. Maurel, P. Desbiens, R. Marceau, A.S. Malowany, L. Granger
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引用次数: 3

摘要

虚拟环境(VE)技术已被证明可以提供执行复杂程序任务的宝贵培训。对于任何VE的成功来说,最重要的是现实主义;实体的移动和行为必须可信,并且接近真实世界的复杂性。与真实世界的保真度相伴而来的是,如何让虚拟现实(VR)的沉浸式培训更广泛地普及,而且成本要低得多。提出了一种在低成本pc上重建VE的解决方案,降低了VR软件本身的成本,同时保持了实时性能。本文在ESOPE-VR框架下,提出了一种低成本、基于pc的虚拟现实开发系统。ESOPE-VR是一种面向电力公司人员的虚拟现实电站操作员培训模拟器(OTS)原型。PC-ESOPE-VR旨在提供与原版相同或改进的功能和性能,具有3d视觉界面,语音识别和反馈,导航和操作设施以及专家系统,多媒体和多用户(分布式)支持,但解决上述实际需求。基于pc的系统也与原版兼容;它可以利用现有的ESOPE-VR电源组件库,并支持从单线图表示自动合成虚拟电站环境。描述了实现所有这些问题所使用的方法,然后是关键的执行结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low-cost PC-oriented virtual environment for operator training [for power stations]
Virtual environment (VE) technologies have been shown to provide invaluable training in the performance of complex procedural tasks. Of paramount importance to the success of any VE is realism; entities must move and behave believably and approximate the complexity of the real world. Such real-world fidelity is accompanied by the challenge of making immersive training in virtual reality (VR) more widely available, at costs significantly less prohibitive. A solution is presented to recreate the VE on low-cost PCs, reducing the cost of the VR software itself, yet preserving real-time performance. This paper presents a low-cost, PC-based VR development system within the framework of ESOPE-VR, a VR power station operator training simulator (OTS) prototype for power-utility personnel. PC-ESOPE-VR aims to provide the same or improved functionality and performance as the original, with a 3-D visual interface, voice recognition and feedback, navigation and manipulation facilities and expert system, multimedia and multi-user (distributed) support, yet address the practical demands raised above. The PC-based system is also compatible with the original; it can draw on existing ESOPE-VR power component libraries and support the automatic synthesis of a virtual power station environment from its single-line diagram representation. The approach used towards fulfilling all these issues is described, followed by key implementation results.
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