http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114091324-A
Outgoing Links
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|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a431cf4c64da0f89eccaa9aa30b43b7f |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2119-02 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-10 |
| classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F119-02 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2021-10-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_be44d3d9e2cd0ef2b4449ae8a3072280 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_10701c6a1a4818703a9ba27c61044786 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c028f214501e8eea896a27ff3023c236 |
| publicationDate | 2022-02-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114091324-A |
| titleOfInvention | A NOX emission modeling method and system for thermal power units |
| abstract | The invention discloses a NOx emission modeling method and system for a thermal power unit. The method includes: acquiring historical operation data of the thermal power unit based on basic parameters affecting the NOx emission of the thermal power unit, and establishing a training set D 0 ; using a density clustering algorithm Reduce the training set D 0 with the sparse greedy matrix to obtain the sample representative set D 2 ; build a semi-parametric support vector regression machine model based on the sample representative set D 2 , and solve the semi-parametric support vector regression machine model based on the iterative reweighted least squares method based on the training set D 0 , use the Apache Spark parallel computing framework for parallel design, and obtain the final weight of the semi-parametric SVM model; based on the final weight, use Apache Spark to parallelize the semi-parametric SVM model, get NOx emission model of thermal power unit. When the present invention processes large-scale thermal power plant data, the modeling time can be shortened and industrial requirements are met. |
| priorityDate | 2021-10-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID8422 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419569600 |
Total number of triples: 23.