Detection method of abnormal event of multi-variable water quality parameter time sequence data
A technology of water quality parameters and abnormal events, applied in the direction of neural learning methods, testing water, material inspection products, etc., can solve the problems of low detection accuracy, single factors considered for a single parameter, missed and false positives, etc.
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[0047] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.
[0048] An embodiment of a multivariate water quality parameter time anomaly event detection method, figure 1 It is the general frame diagram of spatio-temporal anomaly event detection in online river network. It can be seen that the main steps of the embodiment of the present invention are as follows:
[0049] (1) BP model simulates water quality parameters: input multiple water quality parameters to model, train and construct a data-driven prediction model (BP model), analyze multivariate water ...
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