http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112177661-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/E21F1-006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01P5-165 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01P5-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/E21F1-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01L13-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/E21F1-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/E21F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01D21-02 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/E21F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01D21-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01L13-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/E21F1-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/E21F1-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/E21F1-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01P5-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01P5-165 |
| filingDate | 2020-08-28^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-11-26^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-11-26^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112177661-B |
| titleOfInvention | A system and method for accurate monitoring and abnormal early warning of local ventilation parameters in coal mines |
| abstract | The invention discloses a system and method for accurate monitoring and abnormal early warning of local ventilation parameters in coal mines. composition. The monitoring and analysis module for accurate measurement of air volume includes various sensors and monitoring sub-stations. By optimizing the arrangement of air volume measurement points in the air duct, and monitoring the kinetic energy calculation and verification of velocity pressure, accurate monitoring of local air volume can be achieved; the ventilation system power consumption analysis module includes local ventilation. The resistance parameter monitoring and the wind pressure loss model along the way realize the visual monitoring of local resistance and early warning of resistance abnormality; the air volume supply and demand matching analysis module predicts the fan adjustment based on the air volume data and the advanced simulation of the air volume supply and demand, and establishes a local ventilation air volume supply and demand matching model; ventilation The fault judgment and early warning module extracts the characteristic samples and precursor information of the local ventilation fault state based on the monitored multiple environmental parameters, so as to realize the judgment and early warning of the development trend of the local ventilation state. |
| priorityDate | 2020-08-28^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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