Edge router design of energy consumption devices for large building
文献类型：会议论文
| 作者 | Zhong, Yingchun1; Fan ZY(樊智一)1,3; Xiao JC(肖金超)3 ; Zhong, Ling1; Xiao, Xiangqian2; Lv, Shuai1
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| 出版日期 | 2018 |
| 会议日期 | July 19-21, 2018 |
| 会议地点 | Harbin, China |
| 关键词 | IPV6 IPv6 over Low power WPAN (6LoWPAN) 6in4 edge router |
| 页码 | 677-680 |
| 英文摘要 | To monitor the energy consumption of a large building is quite important nowdays. An edge router is designed in this paper in order that the monitoring terminal can access the energy consumption data of large building in real time. The energy consumption devices in large buildings can be connected to the Internet through the edge router. The STM32F4 chip is used as the hardware processor of the edge router. The Free Real Time Operating System (FREERTOS) combining the 6in4 technique is employed as the software platform of the edge router. An address-mapping table is designed to improve the efficiency of data transferring. The experimental results show that energy consumption devices can obtain the energy consumption feedback within 100ms. The max transferring speed of data reaches 10M/S, which satisfy the real-time requirement of data accessing in most situations. |
| 产权排序 | 2 |
| 会议录 | 2018 Eighth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC 2018)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-8246-3 |
| 源URL | [http://ir.sia.cn/handle/173321/26727]  |
| 专题 | 沈阳自动化研究所_广州中国科学院沈阳自动化研究所分所 |
| 通讯作者 | Zhong, Yingchun |
| 作者单位 | 1.Schoo of Automation, Guangdong University of Technology, Guangzhou City, Guangdong Province 510006, China 2.China National Electric Apparatus Research Institute, Guangzhou City, Guangdong Province 510300, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Guangzhou City, Guangdong Province 511458, China |
| 推荐引用方式 GB/T 7714 | Zhong, Yingchun,Fan ZY,Xiao JC,et al. Edge router design of energy consumption devices for large building[C]. 见:. Harbin, China. July 19-21, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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