期刊文献+

基于中介理论和ZigBee的三维温度场绘制

Three-Dimensional Temperature Field Drawing Based on Medium Theory and ZigBee
下载PDF
导出
摘要 研究了基于无线传感网络的三维温度场绘制问题;综合考虑资源和能量问题,提出分区域的数据融合模型,对于温度变化较快的区域采用中介理论进行数据融合以提高数据准确性,而对于温度变化缓慢的区域则在节点端进行综合数字滤波后进行数据传输;提出采用C++Builder与Matlab混合编程的方法来绘制三维温度场,给出了详细实现步骤;该方法能有效提高程序设计效率,结果表明所绘制三维温度场直观、准确,对于指导产品设计有一定的实用价值。 Three--dimensional (3D) temperature field drawing based on medium theory and wireless sensor network was researched. Given the resources and energy problems, a kind of data fusion model based on different areas was proposed. The medium theory to deal wlth data fusion was adopted in the area in which the temperature changed faster, and as for the area in which the temperature changed slowly, the integrated digital filter in sensor nodes was used before data transmission. The 3D temperature field drawing using the hybrid programming of Cq--k Builder and Matlab was proposed and the detailed steps were presented. The design efficiency is improved by this method which has practical value in product design, and the results show 3D temperature field is visualized and accurate.
出处 《计算机测量与控制》 CSCD 北大核心 2012年第8期2261-2263,共3页 Computer Measurement &Control
基金 江苏省自然科学基金资助项目(BK2011564)
关键词 无线传感器网络 中介理论 数据融合 三维温度场 wireless sensor network medium theory~ data fusion 3D temperature field
  • 相关文献

参考文献13

  • 1翁文兵,丁海燕,李冬.新型上出风空调器夏季温度场和速度场的实验研究[J].上海理工大学学报,2008,30(5):461-464. 被引量:1
  • 2谢李兵,刘彤,张志刚,邵伟.基于迭代和插值算法的二维温度场重建[J].中国电机工程学报,2004,24(10):249-252. 被引量:16
  • 3薛若军,王革,方磊.空调房间内热舒适度的数值模拟[J].哈尔滨工业大学学报,2005,37(8):1145-1147. 被引量:9
  • 4C. --H. CHIEN, J. --Y. JANG, Y. --H. CHEN, etal. 3-- D NUMERICAL AND EXPERIMENTAL ANALYSIS FOR AIR- FLOW WITHIN A PASSENGER COMPARTMENT[J]. Inter- national Journal of Automotive Technology, 2008, 9 (4): 437 - 445.
  • 5Zhang Huajun, Dai Lan, Xu Guoquan, et al. Studies of air--flow and temperature fields inside a passenger compartment for improving thermal comfort and saving energy. Part I: Test/numerical model and validation [J ]. APPLIED THERMAL ENGINEERING, 2009, 29 (10): 2022-2027.
  • 6Baronti P, Pillai P, Chook V, et al. Wireless sensor networks: A survey on the state of the art and the 802. 15. 4 and ZigBee stand- ards[J]. COMPUTER COMMUNICATIONS. 2007, 30 (7) : 1655 - 1695.
  • 7鲁资,林水生,周亮.基于无线传感器网络的温度场绘制[J].传感器与微系统,2011,30(6):17-19. 被引量:5
  • 8ZHANG LY, LI D, ZHANG L, et al. A weighted fusion algorithm of multi--sensor based on optimized grouping[A]. Dalian: The Sixth World Congress on Intelligent Control and Automation [C]. 2006, 2: 5350-5353.
  • 9KHALEGHI B, RAZAVI S N, KHAMIS A, et al. Muhisensor da- ta fusion: Antecedents and directions [A]. Meden: The third In- ternational Conference on Signals, Circuits and Systems (SCS) [C]. 2009: 1-6.
  • 10王华,邓军,王连华,葛岭梅.改进的一致性数据融合算法及其应用[J].中国矿业大学学报,2009,38(4):590-594. 被引量:21

二级参考文献67

共引文献135

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