http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114692421-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d3ce8fe77be26d983e848e25e35c5c9b |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2111-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2111-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2219-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-15 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20 |
| classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F111-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F111-10 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-15 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-16 |
| filingDate | 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e45e0eddda2f68eab7b39b71f4dbd129 |
| publicationDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114692421-A |
| titleOfInvention | Artificial intelligence-based water quality reduction method and related equipment |
| abstract | This application proposes an artificial intelligence-based water quality emission reduction method, device, electronic device and storage medium. The artificial intelligence-based water quality emission reduction method includes: collecting river hydrological data within a preset time period from a water quality monitoring database, and the river hydrological data Including mainstream hydrological data and tributary hydrological data; training a first regression model according to the river hydrological data; constructing an objective function according to preset constraints and the first regression model; using the gradient descent method to solve the objective function to obtain candidate emission reduction plans; calculating The difference between the tributary hydrological data collected in real time and the candidate emission reduction scheme is input into the first regression model to obtain emission reduction results; the emission reduction scheme is recommended according to the emission reduction results. This method constructs an objective function through historical hydrological data, and optimizes the objective function to obtain a calibrated emission reduction plan, which can improve emission reduction efficiency. |
| priorityDate | 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 30.