http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108960525-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d1a291fb43e0fc4fbd3e1a262d96750d |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-26 |
| filingDate | 2018-07-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dd1ad7189634ea11a586a67404f2ea85 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_63b426085393ac6f2927a3011c692bdf http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6b7f73fde055fe007d20a47856d5c27a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3844bf3f3979a2459d8c84574aa62a0b |
| publicationDate | 2018-12-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108960525-A |
| titleOfInvention | Pollution monitoring method and device based on mobile computer and neural network |
| abstract | The invention provides a pollution monitoring method and device based on a mobile computer and a neural network. The method comprises the following steps: monitoring water pollutant information by a water pollutant monitoring station; sending the water pollutant information to Mobile computer; monitor hydrological conditions by the hydrological condition monitoring station; send hydrological conditions to the mobile computer by the hydrological condition monitoring station; collect aquatic animal and plant information by the aquatic animal and plant information collection station; collect aquatic animal and plant information by the aquatic animal and plant information collection station sent to the mobile computer; the mobile computer judges the pollution monitoring model that should be called, and generates the first identification; the mobile computer sends the water pollutant information, hydrological conditions, aquatic animal and plant information, and the first identification to the big data processing center; The big data processing center determines the pollution monitoring model to be applied; and the big data processing center generates a forecast report on the status of water pollution and a report on the fishing risk of aquatic animals and plants. |
| priorityDate | 2018-07-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 42.