Efficient energy consumption data collection and processing with wireless sensors and cloud

利用无线传感器和云进行高效的能耗数据收集和处理

• 批准号: 485160-2015
• 负责人: Liu, Jiangchuan
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584765
• 关键词: Efficient; energy; consumption; data; collection

Rimeware Technologies Inc. is a product and service provider of monitoring and modeling energy consumption behaviors, focusing on large scale enterprises that consume large amount of energy resources such as electricity, gas, and water. It has developed advanced wireless gateways and data aggregators to directly measure and collect the energy consumption data in real-time, particularly for industrial factories. Once the large amount of wireless energy measurement sensors are deployed in a factory, how to form an optimized mesh network to bring all sensor nodes together and read the meters in an efficient way poses a significant challenge. This Engage project seeks to tackle the challenges through algorithm design and system integration. A multi-disciplinary team involving Dr. Liu, SFU graduate students and software engineers from Rimeware will be assembled. We will analyze the sensor and network settings from Rimeware's application environment, and the structure of the data generated from the sensors. We will then implement the algorithms for data collection over distributed sensors and data processing on cloud platforms, and test using the data supplied by Rimeware. The outcome will be integrated into Rimeware's data collection and processing platform, and the performance will be evaluated with realworld sensor and network configurations.

Rimeware Technologies Inc.是能源消耗监测和建模的产品和服务提供商 行为，重点关注消耗大量能源资源的大型企业， 电、煤气和水。它开发了先进的无线网关和数据聚合器， 实时测量和收集能源消耗数据，特别是工业工厂。一旦 工厂中部署了大量的无线电能测量传感器，如何形成优化的 网状网络将所有传感器节点聚集在一起，并以有效的方式读取仪表， 挑战.这个Engage项目旨在通过算法设计和系统集成来应对挑战。 一个由刘博士、SFU研究生和Rimeware软件工程师组成的多学科团队 将被组装。我们将分析Rimeware应用程序环境中的传感器和网络设置， 以及从传感器产生的数据的结构。然后，我们将实现数据的算法 通过分布式传感器收集数据，在云平台上进行数据处理，并使用 Rimeware结果将被整合到Rimeware的数据收集和处理平台中， 性能将与现实世界的传感器和网络配置进行评估。