An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics

Georgios Kormpakis, Panagiotis Kapsalis, Konstantinos A. Psilopanagiotis, Sotiris Pelekis, Evangelos Karakolis, H. Doukas
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Abstract

One of the main challenges of today’s societies is the avoidance of the climate change since the climate crisis in now more evident than ever. Buildings have a large share of total energy consumption and, thus, it is obvious that actions should be taken to reduce their needs. Taking into consideration that nowadays data related to building’s metrics are available in significantly higher rate than in the past, due to the advance of the related technologies, it is necessary to find ways to exploit them in order to draw useful inferences regarding their consumptions and how they can be reduced. For that reason, in this paper we present a Visualisation Engine, which offers a variety of visualisations over stored data. With the usage of the proposed Visualisation Engine, we envision to be able to conduct sufficient research over the data, to generate insightful information regarding their behaviour, and to assist the development of useful solutions towards the direction of more energy efficient buildings.
一个先进的可视化引擎,基于角色的访问控制,用于建筑能源可视化分析
当今社会的主要挑战之一是避免气候变化,因为气候危机现在比以往任何时候都更加明显。建筑在总能源消耗中占有很大的份额,因此,很明显,应该采取行动来减少它们的需求。考虑到如今与建筑指标相关的数据比过去的可用率要高得多,由于相关技术的进步,有必要找到利用它们的方法,以便得出有关其消耗以及如何减少消耗的有用推断。因此,在本文中,我们提出了一个可视化引擎,它提供了对存储数据的各种可视化。通过使用建议的可视化引擎,我们设想能够对数据进行充分的研究,产生有关他们行为的深刻信息,并协助开发有用的解决方案,朝着更节能的建筑方向发展。
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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