期刊文献+

智能家居控制系统的研究与发展 被引量:2

Research and Development of Smart Home Control System
下载PDF
导出
摘要 智能家居是21世纪最重要的新兴产业。这是在融合了大量自动化技术、网络通讯技术和传感器技术的基础之上发展起来的。由于连接设备多,相互之间信息耦合强度大,智能家居的系统构成和通讯方式正在趋于复杂化。智能家居技术总体上划分为两个层面:一是家居生活过程的自动化,二是家居生活的感知学习及对生活需求的智能响应。这两方面的技术实现通常独立于家居设备存在,但又必须和所有家居设备进行通讯互联,构成一类智能控制的技术平台。其中包括可扩展的功能设计空间及可组态的人机交互环境,随时适应家居生活需求的变化。在云计算、云控制和云服务技术快速发展的今天,连接云环境的智能家居技术的发展也是指日可待的。 Smart home is the most important emerging industry in the Twenty-first Century. It is developed based on the integration of large amount of automation technology,network communication technology and sensor technology. The system composition and communication mode of smart home are becoming more and more complex,because of the large number of connected devices and great intensity of information coupling between them. Smart home technology is generally divided into two levels,one is the automation of home life process,the other is the perceptual learning of home life and the intelligent response to the needs of life. The technical realization of these two aspects is usually independent of home equipment,but they must also have data communication with all home equipment,thus forming a type of intelligent control technology platform. It includes extensible function design space and configurable human computer interaction environment,so as to adapt to the change of living needs and habits at any time. Today,with the rapid development of cloud computing,cloud control and cloud service technology,the development of smart home technology that connects the cloud environment is also around the corner.
作者 张琦 陈新楚 郑松 李晓倩 ZHANG Qi,CHEN Xinchu,ZHENG Song,LI Xiaoqian(College Of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350100,Chin)
出处 《电视技术》 2018年第4期113-120,共8页 Video Engineering
关键词 智能家居 控制系统 自动化 人机交互 网络通信技术 云服务 smart home control system automation human-computer interaction network communication technology cloud service
  • 相关文献

参考文献12

二级参考文献107

  • 1高教波,王军,骆延令,胡煜,王吉龙,高飞,郑雅卫.动态红外场景投射器研究新进展[J].红外与激光工程,2008,37(S2):351-354. 被引量:9
  • 2陈永光,李修和.基于信号强度的室内定位技术[J].电子学报,2004,32(9):1456-1458. 被引量:48
  • 3孙正兴,彭彬彬,丛兰兰,孙建勇,张斌.在线草图识别中的用户适应性研究[J].计算机辅助设计与图形学学报,2004,16(9):1207-1215. 被引量:10
  • 4普建涛,查红彬.大规模复杂场景的可见性问题研究[J].计算机研究与发展,2005,42(2):236-246. 被引量:19
  • 5Bong K K, Nobuyasu T, Kenichi O, et al. Ubiquitous localization and mapping for robots with ambient intelligences [ C ]// IEEE International Conference on Intelligent Robots and Systems. Piscataway, NJ: IEEE, 2006:4809-4814
  • 6Jan Koch, Jens Wettach, Eduard Bloch, et al. Indoor localisation of humans, objects, and mobile robots with RFID infrastructure[C]//IEEE International Conference on Hybrid Intelligent Systems. Piscataway, N J: IEEE, 2007:271 - 276
  • 7Baeg Seung-Ho, Park Jae-Han, Koh Jaehan, et al. Building a smart home environment for service robots based on RFID and sensor networks[C]//IEEE International Conference on Control, Automation and Systems. Piscataway, NJ: IEEE, 2007: 1078 - 1082
  • 8张福渊,郭绍建,傅丽华.概率统计及随机过程[M].北京:北京航空航天大学出版社,2001
  • 9Milella A,Vanadia P,Cicirelli G,et al. RFID-based environment mapping for autonomous mobile robot applications [ C ]//IEEE International Conference on Advanced intelligent mechatronics. Piscataway, NJ: IEEE, 2006:1 - 6
  • 10Heesung Chae, Kyuseo Han. Combination of RFID and vision for mobile robot localization [ C ]//IEEE International Conference on Intelligent Sensors. Piscataway, NJ: IEEE ,2005 :75 - 80

共引文献113

同被引文献7

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部