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公开(公告)号：US12077911B2
公开(公告)日：2024-09-03
申请号：US17097957
申请日：2020-11-13
Applicant: Buckman Laboratories International, Inc.
Inventor： Mark D. Schroen , Sergio Arreola , Robert Brian White , Richard Lusk , Nate Brandeburg
CPC classification number: D21C3/228 , D21C3/24 , D21C9/02 , D21C9/06 , G01N33/343
Abstract: A system and method are provided for predictive control of brown stock treatment at a pulp mill. Various online sensors generate output signals representative of actual values for respective process characteristics, each of which are directly or indirectly affected by adjustments to corresponding process variables. A controller uses the output signals or associated measurement data to dynamically set target values for the process characteristics based on a predicted impact of control responses for corresponding process variables. The controller further generates control signals to actuators associated with the respective process variables based on detected variations between the respective actual values and target values. Exemplary brown stock washing control systems may optimize various types of brown stock washing configurations, including for example vacuum drum washers, compaction baffle washers, chemiwashers, direct displacement washers and wash presses. Cloud-based analytics and machine learning may also be implemented to improve the control algorithms over time.
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公开(公告)号：US20210024875A1
公开(公告)日：2021-01-28
申请号：US16927588
申请日：2020-07-13
Applicant: Buckman Laboratories International, Inc.
Inventor： Bret Magness , João Ducatti , Erika Balzuweit Lopes , Egnaldo Samento dos Santos , John Kurtz , Carolina Mendes Morgante , Rafael Lopes Duarte Barros , Dave Howard , Amit Sharma , Nate Brandeburg
Abstract: The invention comprises one or more gas volume fraction measurement devices operatively connected to one or more controllers and one or more deaeration mechanisms which receive control signals from said one or more controllers and perform an act on the system, such as by controlling a level of deaeration chemistry into some portion of the fermentation system. In one embodiment, the deaeration mechanism is an antifoam feed pump which pumps antifoam chemistry into a feed line of the fermenter in response to the measured gas volume fraction in the fermenter's recirculation loop, in an amount determined by the controller to be effective to reduce foaming and lower column height in the fermenter.
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公开(公告)号：US20220348862A9
公开(公告)日：2022-11-03
申请号：US16927588
申请日：2020-07-13
Applicant: Buckman Laboratories International, Inc.
Inventor： Bret Magness , João Ducatti , Erika Balzuweit Lopes , Egnaldo Samento dos Santos , John Kurtz , Carolina Mendes Morgante , Rafael Lopes Duarte Barros , Dave Howard , Amit Sharma , Nate Brandeburg , Dimitri Kuznetsov
Abstract: The invention comprises one or more gas volume fraction measurement devices operatively connected to one or more controllers and one or more deaeration mechanisms which receive control signals from said one or more controllers and perform an act on the system, such as by controlling a level of deaeration chemistry into some portion of the fermentation system. In one embodiment, the deaeration mechanism is an antifoam feed pump which pumps antifoam chemistry into a feed line of the fermenter in response to the measured gas volume fraction in the fermenter's recirculation loop, in an amount determined by the controller to be effective to reduce foaming and lower column height in the fermenter.
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公开(公告)号：US20210148047A1
公开(公告)日：2021-05-20
申请号：US17097957
申请日：2020-11-13
Applicant: Buckman Laboratories International, Inc.
Inventor： Mark D. Schroen , Sergio Arreola , Robert Brian White , Richard Lusk , Nate Brandeburg
Abstract: A system and method are provided for predictive control of brown stock treatment at a pulp mill. Various online sensors generate output signals representative of actual values for respective process characteristics, each of which are directly or indirectly affected by adjustments to corresponding process variables. A controller uses the output signals or associated measurement data to dynamically set target values for the process characteristics based on a predicted impact of control responses for corresponding process variables. The controller further generates control signals to actuators associated with the respective process variables based on detected variations between the respective actual values and target values. Exemplary brown stock washing control systems may optimize various types of brown stock washing configurations, including for example vacuum drum washers, compaction baffle washers, chemiwashers, direct displacement washers and wash presses. Cloud-based analytics and machine learning may also be implemented to improve the control algorithms over time.
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