Merging Geospatial Technologies with Cross Reality in the context of smart manufacturing systems

R. Amicis, W. Bernstein, Johannes Scholz, R. Radkowski, Bruno Simões, J. Lieberman, Eric Prather
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引用次数: 2

Abstract

It is widely acknowledged that geospatial information has immense applicability across a vast spectrum of human endeavors. Examples include oil and gas exploration, energy management, smart city engineering, weather forecasting, tracking, aviation, satellite ground systems, environmental planning, disaster management, public administration, civil planning and engineering, and science. All such activities entail gathering a significant amount of data and other critical information stored, accessed, managed, manipulated, analyzed, and visualized. This variety of applications requires novel methodologies and technologies capable of delivering both interactive visualization and intelligent complexity reduction.The main focus of this workshop report is the detailed dissection of these technologies, their relationship to one another, and their unique abilities to realize cross-reality capabilities and design principles in a multimodal immersive, and intelligent geographical environment. The goal is to enumerate (and prioritize) critical research and standards opportunities for merging geospatial technologies with smart manufacturing systems.
智能制造系统背景下地理空间技术与交叉现实的融合
人们普遍认为,地理空间信息在人类活动的广泛范围内具有巨大的适用性。例子包括石油和天然气勘探、能源管理、智慧城市工程、天气预报、跟踪、航空、卫星地面系统、环境规划、灾害管理、公共管理、土木规划和工程以及科学。所有这些活动都需要收集大量的数据和其他存储、访问、管理、操作、分析和可视化的关键信息。这种应用程序的多样性需要能够提供交互式可视化和智能降低复杂性的新颖方法和技术。本次研讨会报告的主要重点是详细剖析这些技术,它们之间的关系,以及它们在多模式沉浸式智能地理环境中实现跨现实能力和设计原则的独特能力。目标是列举(并优先考虑)将地理空间技术与智能制造系统相结合的关键研究和标准机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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