A water supply network pollution source tracking and positioning method based on user complaint information
A technology for tracking and positioning, water supply pipe network, applied in the field of pollution source tracking and positioning, can solve the problem that there is no pollution source positioning technology, and achieve the effect of good pollution source identification ability, fast calculation speed and high calculation accuracy rate
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[0039] Such as figure 1 , figure 2 , image 3 As shown, a water supply network pollution source tracking and positioning method based on convolutional neural network and user complaint information includes the following steps:
[0040] 1) Use the location information of user complaints to generate a pollution matrix, and screen out a set of candidate nodes for candidate pollution sources;
[0041] 2) Calculate the Chebyshev distance to measure the similarity between the pollutant diffusion patterns of each candidate node, and divide the candidate nodes;
[0042] 3) Increase the lag time of random complaints on the basis of various pollutant diffusion modes, and construct user complaint samples;
[0043]4) Divide the above samples into training set, verification set and test set to train, verify and test the convolutional neural network respectively to evaluate the effectiveness of the model and use it for the location of pollution sources of real pollution events.
[0044...
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