Online detection and source tracing of crop straw burning

doi:10.2351/7.0000866

	Online detection and source tracing of crop straw burning
	Ye, Yanpeng 1,4; Wan, Enlai 1,4; Sun, Zhongmou 1,4; Zhang, Xinyang 1,4; Zhang, Zhirong 2,3; Liu, Yuzhu 1,4
刊名	JOURNAL OF LASER APPLICATIONS
	2022-11-01
卷号	34
ISSN号	1042-346X
DOI	10.2351/7.0000866
通讯作者	Zhang, Zhirong() ; Liu, Yuzhu()
英文摘要	The carbon dioxide, sulfur dioxide, and metal ions produced by straw burning can severely pollute the atmosphere; thus, online detection and traceability for straw burning is very important. However, to our best knowledge, there is no comprehensive system that can satisfy online detection, classification, and traceability due to the challenging online detection and traceability of straw burning. In this paper, a new system based on laser-induced breakdown spectroscopy (LIBS) and machine learning is developed, and this developed system is employed for the first time in online detection and traceability of straw combustion. Four different types of straw are selected and the straw burning smoke is monitored online using this developed system. The analysis of straw smoke spectra shows that there are Fe, Mn, and Ba heavy metal spectra in the smoke spectra. By comparing the smoke spectra of different types of straw, the characteristic spectral lines with large differences are selected and dimensionality reduction is performed by linear discriminant analysis algorithm. Then, combined with random forest to achieve classification, the final smoke recognition accuracy reaches 87.0%. Straw ash is then used as a reference analysis and the same operation is performed on it. Mn, Ba, and Li heavy metal spectral lines are found in the spectra of ash, and the final recognition accuracy is 92.6%. The innovative and developed system based on LIBS and machine learning is fast, online, and in situ and has far-reaching application prospects in the environment. Published under an exclusive license by Laser Institute of America.
资助项目	Key Research and Development Program of Anhui Province ; National Natural Science Foundation of China (NNSFC) ; Qinglan Project of Jiangsu Province ; [202104i07020009] ; [U1932149]
WOS关键词	INDUCED BREAKDOWN SPECTROSCOPY ; RICE STRAW ; BIOMASS ; WASTE ; INDIA ; SMOKE ; FUEL ; GAS
WOS研究方向	Materials Science ; Optics ; Physics
语种	英语
出版者	AIP Publishing
WOS记录号	WOS:000883800800001
资助机构	Key Research and Development Program of Anhui Province ; National Natural Science Foundation of China (NNSFC) ; Qinglan Project of Jiangsu Province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/130395]
专题	中国科学院合肥物质科学研究院
通讯作者	Zhang, Zhirong; Liu, Yuzhu
作者单位	1.Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Jiangsu Key Lab Optoelect Detect Atmosphere & Ocea, Nanjing 210044, Peoples R China 2.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Anhui Prov Key Lab Photon Devices & Mat, Hefei 230031, Peoples R China 4.Nanjing Univ Informat Sci & Technol, Jiangsu Int Joint Lab Meteorol Photon & Optoelect, Nanjing 210044, Peoples R China
推荐引用方式 GB/T 7714	Ye, Yanpeng,Wan, Enlai,Sun, Zhongmou,et al. Online detection and source tracing of crop straw burning[J]. JOURNAL OF LASER APPLICATIONS,2022,34.
APA	Ye, Yanpeng,Wan, Enlai,Sun, Zhongmou,Zhang, Xinyang,Zhang, Zhirong,&Liu, Yuzhu.(2022).Online detection and source tracing of crop straw burning.JOURNAL OF LASER APPLICATIONS,34.
MLA	Ye, Yanpeng,et al."Online detection and source tracing of crop straw burning".JOURNAL OF LASER APPLICATIONS 34(2022).