http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113889194-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_faf91c331b0721ea1d2e633569006a1c |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C02F2209-22 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C02F3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C10-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C02F3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16C20-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16C10-00 |
| filingDate | 2021-10-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8e3f78440c709a29cb53d2899c2ccf58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_023928e165df46956a63183bf0f4f274 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5c77b8369857a26d968d81e9ad1e77c6 |
| publicationDate | 2022-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113889194-A |
| titleOfInvention | A Prediction Method of Dissolved Oxygen in Sewage Biochemical Treatment |
| abstract | The present invention provides a method for predicting dissolved oxygen in sewage biochemical treatment. The predicting method includes: step S1, collecting water quality data in sewage biochemical treatment and preprocessing to obtain a data set; performing variational modal analysis on factors affecting water quality Decomposition to obtain decomposed components; Step S2, according to the data set in Step S1, determine the relationship between the decomposed components and dissolved oxygen, perform cluster analysis, and divide the decomposed components into tight groups and loose groups; Step S3, according to the step S1 for the data set, multi-task learning and training is performed on the tight group, multi-view learning and training is performed on the loose group, the prediction model is established, and dissolved oxygen prediction and auxiliary task prediction are performed. The prediction method combines dissolved oxygen prediction and auxiliary task prediction of its related factors, which significantly improves the accuracy of future dissolved oxygen prediction. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115536088-A |
| priorityDate | 2021-10-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 28.