Online centralized monitoring and analysis method for multi-point malodorous gases using electronic nose instrument

    公开(公告)号:US10948467B2

    公开(公告)日:2021-03-16

    申请号:US16642531

    申请日:2018-05-30

    Abstract: Provided is an online centralized monitoring and analysis system using an electronic nose instrument for multi-point malodorous gases, and the system includes an electronic nose instrument, which connects with multiple monitoring points through pipes. On-site malodorous gases in the maximum range of 2.5 km are drawn into the electronic nose instrument within 1 min by the external vacuum pump, and forced to flow through an annular working chamber of a gas sensor array for 30 s by the internal vacuum pump periodically. The modular convolution neural networks online learn the recent time-series responses of the gas sensor array and predict their coming responses, and the modular deep neural networks offline set up the relationship between the responses and multiple concentration items according to odor big data. The electronic nose instrument monitors up to 10 pollution sites cyclically and uses the cascade machine learning model to online predict one dimensionless odor-unit (OU) concentration index value and 10 specified-component concentration index values of malodorous gases.

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