arXiv 2103.091692021-03-16cs.NI

SenseRT：一种用于智能建筑传感器的流传输架构

SenseRT: A Streaming Architecture for Smart Building Sensors

Rohit Verma, Justas Brazauskas, Vadim Safronov, Matthew Danish, Jorge Merino, Xiang Xie, Ian Lewis, Richard Mortier

摘要：

近年来，楼宇管理系统（BMS）已经发展，需要对遵循存储然后分析方法的现有网络架构进行更改。主要原因是智能建筑中越来越多地部署各种具有成本效益的传感器和执行器，这些传感器和执行器生成实时流数据。任何具有大量传感器的建筑物内系统都需要一个框架，用于从使用一系列网络连接的传感器进行实时数据汇集和并发流处理。我们提出了SenseRT，一个用于管理和分析建筑物内实时传感器数据流的系统。SenseRT从使用一系列网络协议连接的传感器收集实时数据流。它支持并发模块同时对实时数据执行流处理，异步和非阻塞，以最小的延迟提供结果。我们描述了一个原型实施部署在两个大学系大楼，证明其有效性。

英文摘要：

Building Management Systems (BMSs) have evolved in recent years, in ways that require changes to existing network architectures that follow the store-then-analyse approach. The primary cause is the increasing deployment of a diverse range of cost-effective sensors and actuators in smart buildings that generate real-time streaming data. Any in-building system with a large number of sensors needs a framework for real-time data collection and concurrent stream processing from sensors connected using a range of networks. We present SenseRT, a system for managing and analysing in-building real-time streams of sensor data. SenseRT collects streams of real-time data from sensors connected using a range of network protocols. It supports concurrent modules simultaneously performing stream processing over real-time data, asynchronously and non-blocking, with results made available with minimal latency. We describe a prototype implementation deployed in two University department buildings, demonstrating its effectiveness.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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英文摘要：

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