http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112419382-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5a3af8c0eb98fa32c9867f1657fdd194 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30132 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate | 2020-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_359c05a587850ac2e90a15453150bf76 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5c6f6aeee0de4105bb7fe3681a6726aa |
| publicationDate | 2021-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112419382-A |
| titleOfInvention | A device and method for identifying ores to be tested based on lidar void ratio |
| abstract | The device and method for identifying the ore to be tested based on the void ratio of the lidar of the present disclosure uniformly sprays water mist on the surface of the ore to be tested through the wet water spray module; The transmission module transmits it to the data processing module; after the data processing module preprocesses the laser point cloud data containing voids of the ore to be tested, it reconstructs the lidar image containing the void ratio of the ore to be tested, based on the lidar image containing the void ratio of the ore to be tested Build a convolutional neural network model for ore identification to be tested; the information recognition module extracts the void ratio feature and texture feature of the lidar image containing the void ratio of the ore to be tested, and input the void ratio feature and texture feature into the convolutional neural network for the identification of the ore to be tested The model obtains the identification result of the ore to be tested. It can be based on the difference of the porosity of the ore to be tested, the accuracy of extraction and identification, and has strong applicability and good real-time performance. |
| priorityDate | 2020-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 24.