http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115028073-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0b2f6ed7683c36889f86b934e7227465
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02P90-30
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B66C13-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B66C15-065
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B66C13-16
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B66C15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B66C15-06
filingDate 2022-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_228456378ef7946c576ac2a22e4d2802
publicationDate 2022-09-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-115028073-A
titleOfInvention A fault analysis and evaluation system for industrial equipment in smart factories based on the Industrial Internet of Things
abstract The invention discloses and provides a fault analysis and evaluation system for industrial equipment in a smart factory based on the Industrial Internet of Things. The intelligent factory industrial equipment fault analysis and evaluation system based on the Industrial Internet of Things includes a braking structure fault monitoring module, a braking structure fault analysis module, a hoisting structure fault monitoring module, a hoisting structure fault analysis module, an equipment fault analysis module, and an equipment fault analysis module. Early warning terminal database; the present invention obtains the failure evaluation coefficient of the braking structure and the failure evaluation coefficient of the hoisting structure through analysis, and then comprehensively calculates the equipment failure evaluation coefficient of the target crane, which effectively solves the problem that the current technology is not enough to check the crane failure. It eliminates the one-sidedness of the current industrial equipment failure analysis method, ensures the stability and safety of the objects lifted by the crane, reduces the risk of falling and the damage rate of the objects lifted by the crane, and improves the transportation efficiency of materials in the workshop. .
priorityDate 2022-07-25-04:00^^<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/CID28718
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419513094

Total number of triples: 20.