http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112782232-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate | 2020-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-04-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-04-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112782232-B |
| titleOfInvention | Soft measurement method and device for total phosphorus in effluent of agricultural sewage facility based on artificial neural network |
| abstract | The invention discloses a method and a device for soft measurement of total phosphorus in effluent of a rural sewage facility based on an artificial neural network, and belongs to the fields of water quality monitoring, artificial intelligence and the like. The prediction device firstly installs electrode acquisition facility operation state parameters such as water inlet conductance, water outlet turbidity, water outlet pH, aerobic pool DO and the like in rural domestic sewage treatment facilities of different process types, and then predicts the total phosphorus concentration of the water outlet of the facility by using an artificial neural network embedded in an online data platform. The related results show that the device and the method have good fitting effect and popularization value on the total phosphorus concentration of the facility effluent. |
| priorityDate | 2020-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 24.