http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114444663-A

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filingDate 2022-01-28^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f977851693960144f993a75c0ca9723
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_30dac2c5822673aa0963c1f794c61a70
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publicationDate 2022-05-06^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114444663-A
titleOfInvention A leak detection and localization method for water supply network based on temporal convolutional network
abstract The invention discloses a leak detection and location method for a water supply pipe network based on a time convolution network. product module, temporal convolution module, leak detection module and leak location module; the temporal convolution module includes a plurality of residual blocks, and the residual blocks are provided with a channel attention structure; step 2, supply the water supply to the The pipeline network leak detection network model is trained to obtain an optimized water supply pipeline network leak detection network; step 3: Collect pressure data of multiple nodes in the water supply pipeline network through pressure sensors, and input the pressure data into the optimized water supply pipeline network leak detection network network; obtaining the leak pipeline through the leak detection module, and obtaining the leak location of the leak pipeline through the leak location module.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114857504-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115265963-A
priorityDate 2022-01-28^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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