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publicationDate 2020-11-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111882230-A
titleOfInvention An online monitoring method of dioxin emissions based on neural network
abstract An online monitoring method for dioxin emissions based on neural network belongs to the technical field of environmental protection, and includes a neural network model and a thermal desorption gas chromatography coupled with a tunable laser time-of-flight mass spectrometry, the thermal desorption gas chromatography coupled with a tunable laser time-of-flight mass spectrometry Mass spectrometry detects the concentration of dioxin indicator online, the neural network model receives the concentration of dioxin indicator, and outputs the predicted value of dioxin concentration or dioxin toxic equivalent; the present invention adopts the neural network model and thermal desorption gas chromatography The combination of coupled tunable laser time-of-flight mass spectrometry online detection can realize real-time monitoring, effectively reduce costs, ensure data timeliness, and at the same time, improve the generalization ability and accuracy of the original correlation model while ensuring the training speed.
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