http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022326697-A1

Outgoing Links

Predicate Object
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

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419576188
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Total number of triples: 18.