A method and system for predicting odor ou value based on meteorological parameters
A technology of meteorological parameters and prediction methods, applied in measurement devices, air quality improvement, electrical digital data processing, etc., to achieve the effect of accurate odor monitoring and prediction
Active Publication Date: 2018-06-05
北京拓扑智鑫环境科技股份有限公司
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Problems solved by technology
[0003] The technical problem to be solved by the present invention is the impact of meteorological factors on the OU value and the problem of predicting the stench OU value based on meteorological parameters
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Embodiment Construction
[0047] The present invention utilizes the generalized gray correlation degree method to analyze the relation of malodorous gas OU value and meteorological factor, by analyzing the historical data of malodorous gas OU value and meteorological factor, finds the meteorological factor with the greatest correlation degree of malodorous gas OU value; Then utilizes Spearman rank correlation The coefficient method was used to analyze the corresponding change trend graph between the OU value of odorous gas and the meteorological factor with the highest degree of correlation to obtain the curve fitting equation between the OU value of odorous gas and the meteorological factor with the highest degree of correlation. Conduct trend analysis and forecast forecasts, where,
[0048] (1) Gray relational degree method.
[0049] set Y 1 , Y 2 ,...,Y s is the system characteristic behavior data sequence, X 1 , X 2 ,...,X m Behavioral sequence of related factors. If Y 1 , Y 2 ,...,Ys ;X ...
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The invention discloses a foul smell OU value prediction method and system based on meteorological parameters. The method comprises the steps that grey relational analysis is performed on historical data of a foul gas OU value and historical data of meteorological factors, and the meteorological factor with the maximum relevancy with the foul gas OU value is found; partial least squares are utilized for analysis to obtain a curve-fitting equation between the foul gas OU value and the meteorological factor with the maximum relevancy; meteorological factor data with the maximum relevancy with the foul gas OU value are collected in real time through a plurality of monitoring stations; a cloud foul smell analysis platform utilizes the curve-fitting equation and the real-time detection meteorological factor data with the maximum relevancy for trend analysis and predicting and forecasting of the foul gas OU value of the next moment. According to the foul smell OU value prediction method and system, the foul smell OU value influence of meteorological conditions on foul gas diffusion, dilution and accumulation are synthesized, foul smell monitoring and predicting are achieved more precisely, and the great practical significance is achieved for environment monitoring and early warning analysis.
Description
technical field [0001] The invention relates to the field of environmental monitoring, in particular to a method and system for predicting an odor OU value based on meteorological parameters. Background technique [0002] At present, the air pollution situation in my country is severe, and the air pollution in the Beijing-Tianjin-Hebei region is becoming more and more serious, which affects the health index, and residents complain strongly. Odor gas (ODOR) is an important part of air pollution and smog. A large number of data analysis and research have shown that the OU value of the odor intensity of the odor gas is closely related to the pollution gas with irritating odor, meteorological factors, inhalable particulate matter (PM10, PM2 .5) and other factors are very closely related. Meteorological conditions have a certain effect on the diffusion, dilution and accumulation of odorous gases. Under the condition of a certain odor source, the OU value mainly depends on the me...
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IPC IPC(8): G01N33/00G06F19/00
CPCY02A50/20
Inventor 董培青郭勇辉傅珍丽温子龙刘泽华
Owner 北京拓扑智鑫环境科技股份有限公司