Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 527-531.

• Interdiscipline & Application • Previous Articles     Next Articles

Visualization of Solid Waste Incineration Exhaust Emissions Based on Gaussian Diffusion Model

ZHENG Hong-bo, WU Bin, XU Fei, ZHANG Mei-yu, QIN Xu-jia   

  1. School of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: In order to predict the amount of waste gas emitted from solid waste incineration plants and understand the characteristics of the indicators of the pollution of the exhaust gases,a visualization system for waste gas emitted from solid waste incineration plants was designed and implemented.Based on the analysis of the main factors affecting the diffusion of waste gas,the diffusion model of waste gas in solid waste incineration plant based on Gaussian point source diffusion was established,and the method of drawing the concentration contour map of waste gas was realized based on the diffusion model.The distribution map of the solid waste incineration plant in China and the contour map of the emission concentration of solid waste incineration plant were plotted on Baidu map.Through the combination of dynamic histogram,time wheel and histogram,the real time emission of solid waste incineration plant is displayed,and the visualization of exhaust emission data of solid waste incineration plant is realized.The visualization system displays the waste gas data graphically,so as to achieve real-time monitoring of exhaust pollutants.

Key words: Diffusion model, Exhaust emission, Concentration contour, Time wheel, Data visualization

CLC Number: 

  • TP391
[1] 杨征.城市垃圾焚烧发电发展现状与展望[J].中国资源综合利用,2016,34(12):33-35.
[2] 李洪奇,李妍,张阚.基于高斯模型与模糊评价的气体污染风险赔偿[J].数学学习与研究,2015(1):103-104.
[3] 李云云.高斯烟羽模型的改进及在危化品泄漏事故模拟中的应用[D].广州:广州大学,2013.
[4] 李仕旺,潘跃,吕晓艳.数据可视化技术研究及其在铁路中的应用[J].铁路计算机应用,2015,24(10):23-26.
[5] TOMINSKI C,ABELLO J,SCHUMANN H.Axes-based visualizations with radial layouts[C]∥Proceedings of the 2004 ACM Symposium on Applied Computing.ACM,2004:1242-1247.
[6] 赵桉.城市空气质量可视化分析实现[D].哈尔滨:黑龙江大学,2016.
[7] 董重,魏迎梅.运用平行坐标系的多变元时序数据可视化方法[J].小型微型计算机系统,2015,36(10):2408-2411.
[8] 王金茵,沈定涛,杨柳,等.三维动态柱状图制图表达方法与应用研究[J].长江科学院院报,2016,33(11):78-82.
[9] 叶冬芬,叶桥龙,罗玮琛.基于高斯扩散模型的化工危险品泄露区域计算及其实现[J].计算机与应用化学,2012,29(2):195-199.
[10] 王娇娇,于诗琪,许诗辰.基于高斯烟羽扩散模型的空气污染研究[J].科技与创新,2017(10):21-24.
[11] 张莹,崔铁军.基于网格化的多储罐有害物连续性扩散算法研究[J].中国安全生产科学技术,2014,10(9):5-9.
[12] 李苗苗.区域空气污染扩散数据可视化技术的研究[D].济南:山东大学,2011.
[13] 孙娟,束炯,邱报,等.工业点源大气污染扩散空间信息系统[J].环境污染与防治,2005,27(7):519-522
[14] 秦睿,刘圣军,陈子泰,等.基于距离场的二维偏移曲线快速生成方法[J].浙江大学学报(理学版),2017,44(1):10-21.
[15] GOODWIN S,DYKES J,SLINGSBY A,et al.Visualizing multiple variables across scale and geography[J].IEEE transactions on visualization and computer graphics,2016,22(1):599-608.
[1] LI Yan, MA Jun-ming, AN Bo, CAO Dong-gang. Web Based Lightweight Tool for Big Data Processing and Visualization [J]. Computer Science, 2018, 45(9): 60-64, 93.
[2] LI Hui, CHEN Hong-qian, DONG Shuang and MA Li-yi. Double Sunburst Matrix Visualization to Overview Majors Distributary Data [J]. Computer Science, 2017, 44(Z6): 455-458.
[3] TANG Ying, ZHONG Nan-jiang, SUN Kang-gao, QIN Da-kang and ZHOU Wei-hua. Clustering and Visualization of Social Network Based on User Interests [J]. Computer Science, 2017, 44(Z11): 385-390, 427.
[4] ZHAO Hai-yong and JIA Yang-li. Improved Anisotropic Diffusion Denosing Model [J]. Computer Science, 2013, 40(Z11): 147-149,169.
[5] . Research on Influence Maximization Problem Based on Dynamic Networks [J]. Computer Science, 2012, 39(6): 111-115.
[6] SUN Yang, FENG Xiao-sheng ,TANG Jiu-yang, XIAO Wei-dong (School of Information System and Management, NUDT, Changsha 410073, China). [J]. Computer Science, 2008, 35(11): 1-7.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[2] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[3] WU Shu, ZHOU An-min and ZUO Zheng. PDiOS:Private API Call Detection in iOS Applications[J]. Computer Science, 2018, 45(4): 163 -168 .
[4] LU Jia-wei, MA Jun, ZHANG Yuan-ming and XIAO Gang. Service Clustering Approach for Global Social Service Network[J]. Computer Science, 2018, 45(3): 204 -212 .
[5] HOU Yan-e, KONG Yun-feng and DANG Lan-xue. Greedy Randomized Adaptive Search Procedure Algorithm Combining Set Partitioning for Heterogeneous School Bus Routing Problems[J]. Computer Science, 2018, 45(4): 240 -246 .
[6] ZHANG Wen-yong, CHEN Le-zhu. Tableware Sorting System Based on LabVIEW Machine Vision[J]. Computer Science, 2018, 45(6A): 595 -597, 605 .
[7] XU Li-li, DONG Yi-hong, PAN Jian-fei and CHEN Hua-hui. Survey of Graph Sparsification Algorithms for Complex Networks[J]. Computer Science, 2018, 45(5): 24 -30, 43 .
[8] WANG Hua-jin, LI Jian-hui, SHEN Zhi-hong and ZHOU Yuan-chun. ORC Metadata Based Reducer Load Balancing Method for Hive Join Queries[J]. Computer Science, 2018, 45(3): 158 -164 .
[9] LI Xiao, XIE Hui and LI Li-jie. Research on Sentence Semantic Similarity Calculation Based on Word2vec[J]. Computer Science, 2017, 44(9): 256 -260 .
[10] ZENG An, GAO Cheng-si and XU Xiao-qiang. Collaborative Filtering Algorithm Incorporating Time Factor and User Preference Properties[J]. Computer Science, 2017, 44(9): 243 -249 .