http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115147617-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02W10-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-763 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-56 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-74 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-44 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-44 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-74 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-762 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-56 |
| filingDate | 2022-09-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-115147617-B |
| titleOfInvention | Intelligent monitoring method of sewage treatment based on computer vision |
| abstract | The invention relates to the technical field of image processing, in particular to an intelligent monitoring method for sewage treatment based on computer vision. The method includes: acquiring an alum flower image to be detected; obtaining each first region in the alum flower image to be detected according to the corresponding edge image; recording the first region whose adjacent region set is not empty as the first region to be determined; The pixel values of the pixel points in each first to-be-measured area are obtained to obtain the corresponding light transmittance, connection dispersion and matching area; according to each corner point corresponding to each first to-be-measured area, the filamentary shape of each first to-be-measured area is obtained. Edge uniformity and filamentary edge compactness, and then obtain the corresponding merge degree; According to the merge degree and the matching area, obtain the target alum flower image; according to the alum flower image to be detected, the target alum flower image and the trained target network to get the flocculant demand status. The invention realizes the more rapid and accurate detection of the adding condition of the flocculant at a lower cost. |
| priorityDate | 2022-09-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 23.