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Indoor Harmful Gas Component Test Quality Control Explore

Posted on:2012-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:D C WangFull Text:PDF
GTID:2211330371459996Subject:Industrial Engineering
Abstract/Summary:PDF Full Text Request
As the improvement of people's living standards, people are increasingly concerned about the quality of living environment. According to the research which shows that a lifetime of about 80% of the time is spent indoors, so the indoor environment has become the focus of attention. Therefore the indoor air which contacts with people closest has become a top priority.Detecting Indoor harmful gas is an important work of analysis of indoor air quality. Quality assurance and quality control (QA & QC), detection of Uncertainty, Measurement System Analysis (MSA) are commonly used methods for quality control and improvement of the detection level. Measurement uncertainty are closely related to measurement results, which could largely reflect the level of quality control testing of the laboratory.In this paper, firstly through monitoring the process of testing indoor harmful gas components, detecting and eliminating abnormal to make sure that the measurement process is in an effective state of statistical control. Secondly, through scientific and reasonable uncertainty assessment testing to identify major uncertainty components, and further to find the existence of the factors which have a significant effect on uncertainty components of measurement system. Thirdly, use statistical analysis tools to verify the significance of affects of various factors in the measurement system and identify the factors which need to focus on controlling during the process of quality control testing in the harmful indoor air quality testing laboratories. Finally, by the comparison with the GUM assessment to make a more reasonable assessment of uncertainty, but also make the application of quality control testing of harmful indoor air testing laboratories more feasible.
Keywords/Search Tags:measurement uncertainty, harmful gas components, quality control testing, Statistical analysis
PDF Full Text Request
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