http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022326697-A1
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ee832e0925beadac9ce63555dadb45c4 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-048 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-4183 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-41885 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B19-418 |
filingDate | 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f91d0d243c8d6df5c0d56c011983657b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_54c2bc82c83a1bcd9f9943252649f4e4 |
publicationDate | 2022-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | US-2022326697-A1 |
titleOfInvention | System and a method for implementing closed-loop model predictive control using bayesian optimization |
abstract | Present disclosure discloses a method and a system for optimizing a model predictive control during an industrial process control operation. The method receives, using one or more sensors, one or more input parameters from each of a plurality of processing stages involved in the industrial process control operation. The method determines a pulp brightness value of each processing stage based on the one or more input parameters. Thereafter, the method implements a model trained on historical data, based on the determining, for controlling chemical dosage values of one or more chemical components at each of the plurality of processing stages such that an amount of the chemical dosage to be injected is determined based on at least one of the one or more input parameters of a current processing stage and the pulp brightness value of preceding processing stage, thereby attaining a target pulp brightness value. |
priorityDate | 2021-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 18.