| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f7dcb71b10945ae0e5b9c7ddb3a85331 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-254
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2462
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-248
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-22 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-248
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-2458
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04 |
| filingDate |
2021-11-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d882d600c5a298f1035116cfbf1e6038
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1ae5492482595fad3ef657983a464535
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d4f0455e92fb6f6b6947a157ac247e59
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0e2139064efe7e97fa9fe53805781d8a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_415e49b2d3a2bbad981094df35eda09d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_167592b04147c2b36f2da07fe98faec9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ab5c26ce636423f796a1590062a5b0d3 |
| publicationDate |
2022-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114461693-A |
| titleOfInvention |
An antifreeze early warning method for cooling towers between thermal power units based on big data analysis |
| abstract |
The invention relates to the technical field of thermal power units, and discloses an antifreeze early warning method for an inter-unit cooling tower based on big data, including a sector antifreeze early warning method based on an industrial big data analysis platform. The sector antifreeze early warning method based on the industrial big data analysis platform includes the following steps: historical data collection and storage; characteristic parameter processing; sample data screening; sector wall temperature minimum value prediction; sector outlet water temperature forecast; sector antifreeze early warning real-time calculate. The big data-based antifreeze early warning method for the intercooling tower has the advantages of real-time early warning and prompting of the freezing risk of the intercooling tower sector, and solves the problems of untimely, poor effectiveness and low intelligence of antifreeze monitoring. |
| priorityDate |
2021-11-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |