文章基本信息

标题：A STUDY ON THE DETECTION OF MALFUNCTION OF GAS SENSOR IN INDOOR USING REGRESSION ANALYSIS
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作者：KI-SU YOON ; SEOUNG-HYEON LEE ; JAE-PIL LEE 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：3
页码：843
出版社：Journal of Theoretical and Applied
摘要：As the industry enters the modern world, the chemical industry is growing in scale. As a result, the handling of chemicals is increasing and the risks are increasing. In particular, there is always the problem of the occurrence of chemical accidents due to the failure of control or management. To prevent this, a disaster detection system using sensors is actively under study. However, the gas sensor among the disaster detection sensors is malfunction due to the influence of the temperature and the humidity. Therefore, in this paper, we analyze the data of temperature sensor, humidity sensor data, and gas sensor data collected in indoor to prevent this. After confirming the correlation between the data, we calculate the regression equation that can express the sample data by calculating the coefficient of determination through regression analysis. Based on this, we propose a method to detect the malfunction by constructing an environment that can compare and analyze the data of the actual gas sensor with the data through the regression equation.
关键词：Gas Sensor; Bigdata; Regression analysis; Correlation