期刊文献+

室内建筑污染扩散程度与面积的建模仿真分析

Modeling and Simulation Analysis of Indoor Building Pollution Diffusion Degree and Area
下载PDF
导出
摘要 室内建筑污染区域会受到空气对流作用的影响,导致污染物的扩散方向和扩散速度都发生无序变化,污染区域呈散乱分布。传统的室内建筑污染扩散程度计算是基于污染物均匀分布的区域进行计算的,忽略了空气对流作用对污染区域均匀分布的影响,导致无法准确计算室内建筑污染扩散面积。为了避免传统方法的弊端,提出一种基于移动区域优化算法的室内建筑污染扩散面积的计算方法。利用对室内污染物区域边缘的空间位置提取数据建立模型,利用模型计算出污染物扩散过程中的污染区域面积,对扩散过程中的污染面积误差进行补偿处理,实现了对室内建筑污染扩散面积的准确计算。仿真实验表明,利用该算法能够对室内建筑污染扩散面积进行准确计算,从而准确判断出室内污染扩散的程度。 The indoor building pollution area will be affected by the air convection, lead to the spread of pollutants and disordered diffusion speed, pollution is scattered distribution. Traditional indoor building pollution diffusion calculation is based on the uniform distribution of pollutants calculated area, ignoring the air convection influence on pollution area were distributed evenly, lead to can not accurately calculate the indoor floor pollution diffusion area. In order to avoid the disadvantages of traditional methods, this paper puts forward a mobile area optimization algorithm based on the calculation method of indoor building pollution diffusion area. Area on the edge of the space location of indoor pollutants is utilized to extract the data model, using the model to calculate the pollution in the process of pollutant diffusion area, to compensate the pollution area of error in the process of diffusion, realize the accurate calculation of indoor building pollution diffusion area. Simulation results show that the algorithm can to accurately calculate the interior construction and pollution to calculate area, so as to accurately determine the degree of indoor pollution diffusion.
作者 钱治科 盛那
出处 《科技通报》 北大核心 2014年第7期80-83,共4页 Bulletin of Science and Technology
关键词 室内建筑污染 扩散程度 移动区域优化算法 仿真 indoor building pollution diffusion degree mobile area optimization algorithm the simulation
  • 相关文献

参考文献3

  • 1W. B. Horng, J. W. Peng, C. Y. Chen. A new image based real-time flame detection method using color analysis [C]//. Conf ICNSC, 2005, IEEE, 2005: 100-105.
  • 2Tai-Fang Lu, Chien-Yuan Peng, Wen-Bing Horng, etal, Flame Feature Model Development and Its Application to Flame Detection [C]//.ICICIC, 2006, IEEE,2006.
  • 3陈虎,张萍,程建,刘钊.一种非插值子像素精度运动估计方法[J].计算机应用研究,2011,28(2):797-800. 被引量:2

二级参考文献10

  • 1侯金亭.H.264/AVC编码器子象素插值快速实现方法[J].计算机工程与应用,2006,42(33):94-96. 被引量:2
  • 2WIEGAND T, SULLIVAN G J, BJONTEGAARD G, et al. Overview of the H.264/AVC video coding standard[J].IEEE Trans on Circuit and System for Video Technology,2003,13(7):560-576.
  • 3ISO/IECJTC1/SC29/WG11, N6193: call for proposals on scalable video coding technology[S].2003.
  • 4DU Cheng, HE Yun, ZHENG Jun-li. PPHPS:a parabolic prediction based fast half-pixel search algorithm for very low bit-rate moving picture coding[J].IEEE Trans on Circuit System for Video Technology,2003,13(6):514-518.
  • 5ZHOU Z, SUN M T. Fast macroblock inter mode decision and motion estimation for H. 264/MPEG-4 AVC[C]//Proc of International Conference on Image Processing. Singapore:IEEE Press, 2004:789-792.
  • 6CHEN Z, ZHOU P, HE Y. Fast integer pel and fractional pel motion estimation for H.264/AVC[J].Journal of Visual Communication and Image Representation,2006,17(2):264-290.
  • 7YANG L, YUK, LI J, et al. Prediction-based directional fractional pixel motion estimation for H.264 video coding[C]//Proc of International Conference on Acoustics Speech and Signal Processing. Philadelphia:IEEE Press, 2005:901-904.
  • 8LIN Wei-Yao, BAYLON D, PANUSOPONE K, et al.Fast sub-pixel motion estimation and mode decision for H.264[C]//Proc of International Symposium on Circuits and Systems. Seattle,WA:IEEE Press,2008:3482-3485.
  • 9ZHU Shan-zhu, MA Kai-Kuang. A new diamond search algorithm for fast block-matching motion estimation[J].IEEE Trans on Image Processing, 2000,9(2):287-290.
  • 10李朝晖,张琦,李冬梅.一种高性能高清视频编码分像素插值滤波算法[J].电视技术,2008,32(5):10-13. 被引量:2

共引文献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