http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019218395-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_33a62710796e131599043055d399597f |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N1-26 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-0032 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-0016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-0006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-64 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-403 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N1-24 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-00 |
| filingDate | 2018-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e9d7f89f657638a9d7b3071d71042109 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_887e74b45af1f1ee91a62dc775d2d752 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5eb0d29014d78aa4b7c64fa5c06bcf51 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6d95feebefacfc04f12c8921cef6f2c3 |
| publicationDate | 2019-11-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2019218395-A1 |
| titleOfInvention | Online monitoring and analysis method for malodorous gas multi-point centralized electronic nose instrument |
| abstract | A malodorous electronic nose instrument (I) and a malodorous gas multi-point centralized online monitoring method: the indoor malodorous electronic nose instrument (I) and a plurality of monitoring points (II-1 to II-10) are connected by means of stainless steel pipes, and gas sampling probes (II) can be fixed or movably arranged, and can be arranged at high and low positions; an external vacuum pump (III) can draw malodorous gas on site in the range of a straight line distance of 2.5 km into the malodorous electronic nose instrument (I) within 1 min; a built-in micro-vacuum pump (I-14) continuously draws new malodorous gas of a gas buffer chamber (I-9) only during a headspace sampling stage of 30 seconds, so that the new malodorous gas of the gas buffer chamber (I-9) continuously drawn during the headspace sampling stage flow through an annular operating chamber of a gas-sensitive sensor array (I-1); a modular convolutional neural network (CNN) learns recent time series responses of the gas-sensitive sensor array (I-1) online and predicts an upcoming response, and a modular deep neural network (DNN) establishes, according to malodorous big data, a nonlinear relationship between the gas-sensitive sensor array responses and a plurality of malodorous contaminant concentration values offline; and in contamination sites such as buildings, industrial gardens, waste and sewage treatment areas, residential living areas, etc., the malodorous electronic nose instrument (I) can cyclically monitor up to 10 points online, and realize cyclical online estimation and prediction of the odor unit (OU) value and 10 malodorous contaminant concentration control index values by using a machine learning cascade model. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022051518-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021216172-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11760169-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11760170-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113125509-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111289314-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111950936-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111950936-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11636870-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111596006-A |
| priorityDate | 2018-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 75.