| Predicate |
Object |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01G25-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10032
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N22-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30188
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-75
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M3-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-77
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-188
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M3-38
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01G25-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-02 |
| filingDate |
2018-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate |
2020-01-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
JP-WO2018181041-A1 |
| titleOfInvention |
Field management apparatus, field management method, and computer-readable recording medium |
| abstract |
The field management apparatus 10 learns the feature amount of the image of the phenomenon caused by the failure of the field facility by using the image of the phenomenon caused by the failure of the field facility and the image of the phenomenon caused by the normal operation of the field facility. By doing so, the learning model generating unit 11 that generates a learning model, the image obtaining unit 12 that obtains the sky image of the target area, and the learning model 15 that the learning model generating unit 11 generates Applying the acquired sky image, an image identification unit 13 that identifies an image of a phenomenon caused by the failure of the field facility in the sky image acquired by the image acquisition unit 12, and a field facility identified by the image identification unit 13. A failure location identification unit that identifies a failure location of a field facility in a target area based on an image of a phenomenon caused by the failure. |
| priorityDate |
2017-03-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |