论文标题

CDBB西剑桥数字双胞胎:经验教训

CDBB West Cambridge Digital Twin: Lessons Learned

论文作者

Brazauskas, Justas, Danish, Matt, Safronov, Vadim, Verma, Rohit, Mortier, Richard, Lewis, Ian

论文摘要

该报告描述了为West Cambridge Digital Twin开发的数字体系结构,尤其是针对实时传感器数据收集和分析,其隐私框架使建筑物的乘员可以成为系统中的一流参与者。该实现具有一些显着的特征。特别是在整个过程中都使用“推动”技术,以使信息流来自传入的异步单个传感器事件到具有绝对最小延迟的最终用户网页,包括实时生成的简单和复杂事件,这些简单和复杂的事件来自基础传感器数据以及可视化的更新,例如内构建热量。我们认为,整个系统在单个传感器消息的时间范围内做出响应的能力是唯一的。 JSON结构用于表示所有数据类型,包括传感器读数,传感器类型,构建对象,组织和人员,其想法是,JSON-LD可能比XML/RDF更合适的方式,用于管理这些对象之间关系(例如“占用人与办公室”的“占用”关系或传感器类型的“类型”关系的“占用”)。

The report describes the digital architecture developed for the West Cambridge Digital Twin, particularly focussed on real-time sensor data collection and analysis with a privacy framework allowing occupants of the buildings to be first-class participants in the system. The implementation has some notable characteristics. In particular 'push' technology is used throughout such that information streams from the incoming asynchronous individual sensor events through to the end-user web pages with the absolute minimum latency, including real-time generated simple and complex events derived from the the underlying sensor data and the updating of visualisations such as an in-building heatmap. We believe the ability of the entire system to respond in the timescale of individual sensor messages to be unique. JSON structures are used to represent all data types including sensor readings, sensor types, building objects, organisations and people, with the idea that JSON-LD may represent a more suitable way than XML/RDF for managing relations between those objects (such as the 'occupies' relationship of people to offices, or the 'type' relationship of sensors to sensor types).

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