2021
DOI: 10.21203/rs.3.rs-218927/v1
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Low-Cost Sensor Outlier Detection Framework For on-Line Monitoring of Particle Pollutants in Multiple Scenarios

Abstract: Monitoring the concentration of particle pollutants is very important for industrial production control and workers' health protection. Low-cost sensors are widely used to reduce deployment costs. The outliers in the observed data of pollutant concentration can be eliminated by outlier detection algorithms. However, it is difficult to meet the actual needs of changing working conditions or scene migration in factories by building a single algorithm for specific scenarios. It is a feasible scheme to identify th… Show more

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References 38 publications
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