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Patent Agency Ranking
公开(公告)号：US20220237064A1
公开(公告)日：2022-07-28
申请号：US17608472
申请日：2020-04-29
Applicant: Dürr Systems AG
Inventor： Simon Alt , Tobias Schlotterer , Daniel Voigt , Markus Hummel , Jens Berner , Hauke Bensch , Philipp Oetinger , Stefano Bell , Martin Weickgenannt
Abstract: In order to provide a method for fault analysis in an industrial-method plant, for example a painting plant, by means of which fault situations are analysable simply and reliably, it is proposed according to the invention that the method should comprise the following: in particular automatic recognition of a fault situation in the industrial-method plant (101); storage of a fault situation data set for the respective recognised fault situation, in a fault database (136); automatic determination of a cause of the fault for the fault situation and/or automatic determination of process values that are relevant to the fault situation, on the basis of the fault data set of a respective recognised fault situation.
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公开(公告)号：US20220197271A1
公开(公告)日：2022-06-23
申请号：US17608469
申请日：2020-04-29
Applicant: Dürr Systems AG
Inventor： Simon Alt , Tobias Schlotterer , Martin Weickgenannt , Markus Hummel , Jens Berner , Hauke Bensch , Daniel Voigt
Abstract: In order to provide a method for predicting process deviations in an industrial-method plant, for example a painting plant, by means of which process deviations are predictable simply and reliably, it is proposed according to the invention that the method should comprise the following: automatic generation of a prediction model; prediction of process deviations during operation of the industrial-method plant, using the prediction model.
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公开(公告)号：US11927946B2
公开(公告)日：2024-03-12
申请号：US17608469
申请日：2020-04-29
Applicant: Dürr Systems AG
Inventor： Simon Alt , Tobias Schlotterer , Martin Weickgenannt , Markus Hummel , Jens Berner , Hauke Bensch , Daniel Voigt
CPC classification number: G05B23/0254 , G05B13/048 , G05B23/0221 , G05B23/024
Abstract: In order to provide a method for predicting process deviations in an industrial-method plant, for example a painting plant, by means of which process deviations are predictable simply and reliably, it is proposed according to the invention that the method should comprise the following:
automatic generation of a prediction model;
prediction of process deviations during operation of the industrial-method plant, using the prediction model.-
公开(公告)号：US20220214676A1
公开(公告)日：2022-07-07
申请号：US17608473
申请日：2020-04-29
Applicant: Dürr Systems AG
Inventor： Andreas Gienger , Oliver Sawodny , Simon Alt , Martin Weickgenannt , Markus Hummel , Tobias Schlotterer , Jens Berner , Hauke Bensch
IPC: G05B23/02
Abstract: In order to provide a method for anomaly and/or fault recognition in an industrial-method plant, for example a painting plant, wherein anomalies and/or fault situations are recognisable simply and reliably by means of the method, it is proposed according to the invention that the method should comprise the following: automatic generation of an anomaly and/or fault model of the industrial-method plant that comprises information on the occurrence probability of process values; automatic input of process values of the industrial-method plant during operation thereof; automatic recognition of an anomaly and/or fault situation by determining an occurrence probability by means of the anomaly and/or fault model on the basis of the process values of the industrial-method plant that have been input and by checking the occurrence probability for a limit value,
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公开(公告)号：US20220214671A1
公开(公告)日：2022-07-07
申请号：US17608470
申请日：2020-04-29
Applicant: Dürr Systems AG
Inventor： Simon Alt , Jan-Philipp Schuh , Ralf Schurer , Markus Hummel , Jens Berner , Jens Häcker , Thomas Hezel , Frank Herre , Michael Zabel , Dietmar Wieland , Philipp Oetinger , Robin Heim
IPC: G05B19/418
Abstract: In order to provide a method for analysing quality deficiencies of workpieces, preferably vehicle bodies and/or vehicle attachment parts, in particular after and/or whilst passing through a production process in industrial-method plants, preferably after and/or whilst passing through a painting process in painting plants, by means of which method quality deficiencies can be avoided and/or by means of which method quality deficiency causes in the production process can be determined, avoided and/or remedied, it is proposed in accordance with the invention that the method comprises the following steps: creating a workpiece-specific data set, uniquely assigned to a workpiece, at the start of a production process, in particular at the start of a painting process and/or creating a workpiece-carrier-specific data set, uniquely assigned to a workpiece carrier, at the start of a production process, in particular at the start of a painting process; supplementing the workpiece-specific data set while a workpiece is passing through the production process, in particular the painting process, with in particular quality-relevant process data and/or supplementing the workpiece-carrier-specific data set while a workpiece carrier is passing through the production process, in particular the painting process, with in particular quality-relevant process data; storing the workpiece-specific data set in a database and/or storing the workpiece-carrier-specific data set in a database.
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