矿山应急救援虚拟现实引擎优选研究

Research on Preferred Virtual Reality Engines for Mining Emergency Rescue

传统矿山救援培训存在训练手段单一、成本高、安全隐患大和可重复性差等弊端,利用虚拟现实技术可以为救护队员提供高仿真的交互体验和实操训练,是应急救援培训的可行方向和有效途径。其中引擎是实现高质量和沉浸式虚拟现实体验的核心。当前虚拟引擎的种类繁多,其架构和性能差异极大,基于矿山救援实际需求选择合适的引擎成为关键。本研究基于对虚拟引擎15项指标特性分析,以矿山应急救援实际需求为出发点建立了引擎优选指标体系,通过层次分析法对各指标进行权重赋值并进行权重判断矩阵一致性检验;在此基础上,利用模糊决策参数分析法,辅助权威专家评判对Unreal、Unity3D等主流引擎的9项特征指标量化分析,结合指标权重对各引擎进行综合评估与适应性评价。研究结果表明:在当前矿山应急救援虚拟现实培训需求下,Unreal引擎表现最佳,Unity3D、Source Engine、CryEngine虚拟引擎其次,而Cocos 3D引擎适应性相对较差,研究成果为虚拟现实引擎的选用提供了一种有效方法。

Virtual reality technology is a feasible direction for mining emergency rescue training,with engines being the core for achieving high-quality and immersive virtual reality experiences.Currently,there are various types of virtual engines with significant differences in architecture and performance,making it crucial to select the appropriate engine based on the actual requirements of mining rescue.An engine selection index system is established based on the analysis of 15 indicator characteristics of virtual engines and starting from the actual requirements of mining emergency rescue.The Analytic Hierarchy Process is used to assign weights to each indicator and perform consistency checks on the weight judgment matrix.Furthermore,the fuzzy decision parameter analysis method is utilized to quantitatively analyze 9 characteristic indicators of mainstream engines such as Unreal and Unity3D,with the assistance of authoritative expert judgments.By combining indicator weights,a comprehensive evaluation and adaptability assessment of each engine are conducted.The research findings indicate that Unreal Engine performs the best for current mining emergency rescue virtual reality training needs,followed by Unity3D,Source Engine,and CryEngine,while Cocos 3D Engine shows relatively poor adaptability.