http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110991479-A

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filingDate 2019-10-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_86b7bc41571b8469b1b72456eda3933f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_46245b62f110d3ee236e62879c67b254
publicationDate 2020-04-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110991479-A
titleOfInvention A community garbage classification system and method based on deep learning recognition
abstract The present invention provides a community garbage classification system based on deep learning recognition, comprising: a garbage information acquisition module, which is used to detect the absorption spectrum of garbage, so as to obtain the characteristic vector of the absorption spectrum; The feature vector is substituted into the deep learning model to obtain the determination feature of garbage components; the combustion property analysis module is used for substituting the determination feature of the garbage component into the combustion property model, so as to obtain the combustion property parameter group of the garbage; the garbage processing module, It is used for judging the combustion properties of the garbage according to the combustion property parameter group, so that the garbage is transported to the incineration station according to the compatibility of the combustion properties and the incineration equipment. The present invention also provides methods of the system. The invention can match the content value of each garbage component with the incineration equipment, fully burn the garbage, reduce environmental pollution, reduce the burning ash, and prolong the service life of the incineration equipment.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113926734-A
priorityDate 2019-10-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 26.