http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108961232-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20068
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10028
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
filingDate 2018-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2020-08-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2020-08-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-108961232-B
titleOfInvention Building damage state detection method
abstract A building damage state detection method comprises the following steps: extracting a cross section of point cloud data of a building to be analyzed; respectively projecting the cloud data of the first effective profile point and the second effective profile point into a YOZ coordinate plane to correspondingly obtain a connecting line of the first projection point and a connecting line of the second projection point; respectively determining the compactness of a polygon formed by the first projection point connecting line and the second projection point connecting line, and correspondingly obtaining the first compactness and the second compactness; and determining the section similarity of the first effective section and the second effective section, and determining the damage state of the building to be analyzed according to the section similarity. Compared with the existing mode of manually reading and identifying, the method can automatically analyze the building based on the graph of the building to be analyzed, so that the damage state analysis result of the building can be obtained more quickly, the interference of manual operation on the analysis result is avoided, and the accuracy and reliability of the analysis result are improved.
priorityDate 2018-06-28-04:00^^<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/compound/CID17520
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419518468

Total number of triples: 16.