Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring

The development of “CC30A CH4-CO2 combined analyzer” with infrared gas sensor as the core detection device can be widely used in online gas component analysis. In data analysis, the maximum value and arithmetic mean of the sensor data for each test period are not effective value. The characteristics...

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Autores principales:	Dong Xiao, Lu Huang, Mohamed Keita, Hailun He, Dayong Chen, Jin Li
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0c677ac462b944fb9c571ba3e1cf862e
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spelling	oai:doaj.org-article:0c677ac462b944fb9c571ba3e1cf862e2021-11-04T06:49:34ZDesign of effective value calculation model for dynamic dataflow of infrared gas online monitoring1932-6203https://doaj.org/article/0c677ac462b944fb9c571ba3e1cf862e2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553131/?tool=EBIhttps://doaj.org/toc/1932-6203The development of “CC30A CH4-CO2 combined analyzer” with infrared gas sensor as the core detection device can be widely used in online gas component analysis. In data analysis, the maximum value and arithmetic mean of the sensor data for each test period are not effective value. The characteristics of the dynamic data are: (1) Each DAW completes one test for one parameter, there is a unique effective value; (2) In test state, the fluctuation of the sensor value gradually decreases when approaching to the end of the test. An effective value calculation model was designed using the method of dimensionality reduction of dynamic data. The model was based on the distribution characteristics of the process data, and consists of 4 key steps: (1) Identify the Data Analysis Window (DAW) and build DAW dataset; (2) Calculate the value of optimal DAW dataset segmentation and build DAW subdataset; (3) Calculate the arithmetic mean (Mc) and count the amount of data in each subdataset (Fc), and build the optimal segmentation statistical set; (4) Effective value calculation and error evaluation. Calculation result with 50 sets of monitor data conformed that the EVC model for dynamic data of gas online monitoring meets the requirements of experimental accuracy requirements and test error. This method can be independently calculated without relying on the feedback information of the monitoring device, and it has positive significance for using the algorithm to reduce the hardware design complexity.Dong XiaoLu HuangMohamed KeitaHailun HeDayong ChenJin LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dong Xiao Lu Huang Mohamed Keita Hailun He Dayong Chen Jin Li Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
description	The development of “CC30A CH4-CO2 combined analyzer” with infrared gas sensor as the core detection device can be widely used in online gas component analysis. In data analysis, the maximum value and arithmetic mean of the sensor data for each test period are not effective value. The characteristics of the dynamic data are: (1) Each DAW completes one test for one parameter, there is a unique effective value; (2) In test state, the fluctuation of the sensor value gradually decreases when approaching to the end of the test. An effective value calculation model was designed using the method of dimensionality reduction of dynamic data. The model was based on the distribution characteristics of the process data, and consists of 4 key steps: (1) Identify the Data Analysis Window (DAW) and build DAW dataset; (2) Calculate the value of optimal DAW dataset segmentation and build DAW subdataset; (3) Calculate the arithmetic mean (Mc) and count the amount of data in each subdataset (Fc), and build the optimal segmentation statistical set; (4) Effective value calculation and error evaluation. Calculation result with 50 sets of monitor data conformed that the EVC model for dynamic data of gas online monitoring meets the requirements of experimental accuracy requirements and test error. This method can be independently calculated without relying on the feedback information of the monitoring device, and it has positive significance for using the algorithm to reduce the hardware design complexity.
format	article
author	Dong Xiao Lu Huang Mohamed Keita Hailun He Dayong Chen Jin Li
author_facet	Dong Xiao Lu Huang Mohamed Keita Hailun He Dayong Chen Jin Li
author_sort	Dong Xiao
title	Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
title_short	Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
title_full	Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
title_fullStr	Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
title_full_unstemmed	Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
title_sort	design of effective value calculation model for dynamic dataflow of infrared gas online monitoring
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/0c677ac462b944fb9c571ba3e1cf862e
work_keys_str_mv	AT dongxiao designofeffectivevaluecalculationmodelfordynamicdataflowofinfraredgasonlinemonitoring AT luhuang designofeffectivevaluecalculationmodelfordynamicdataflowofinfraredgasonlinemonitoring AT mohamedkeita designofeffectivevaluecalculationmodelfordynamicdataflowofinfraredgasonlinemonitoring AT hailunhe designofeffectivevaluecalculationmodelfordynamicdataflowofinfraredgasonlinemonitoring AT dayongchen designofeffectivevaluecalculationmodelfordynamicdataflowofinfraredgasonlinemonitoring AT jinli designofeffectivevaluecalculationmodelfordynamicdataflowofinfraredgasonlinemonitoring
_version_	1718445062812073984

Design of effective value calculation model for dynamic dataflow of infrared gas online monitoring

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