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.
翻译:近年来,建筑管理系统(BMS)的发展方式要求改变现有网络结构,采用存储式分析方法,其主要原因是在产生实时流数据的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导动器,任何拥有大量传感器的建筑系统都需要一个框架,以便实时收集数据,同时从使用一系列网络连接的传感器上处理流流。我们介绍了SenseRT,这是一个管理和分析建设式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中收集实时数据流。它支持同时同时运行的模块,同时对实时数据进行流处理、无同步和无阻塞,其结果以最小的长度提供。我们描述了在两座大学系大楼部署的原型实施,显示了其有效性。