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1.发明公开
公开(公告)号：EP4453775A1
公开(公告)日：2024-10-30
申请号：EP22922910.9
申请日：2022-01-29
发明人： FENG, Cheng , TIAN, Pengwei
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2.发明公开
公开(公告)号：EP4276554A2
公开(公告)日：2023-11-15
申请号：EP23200043.0
申请日：2019-04-29
发明人： FENG, Cheng , SCHNEEGASS, Daniel , QU, Ying , TIAN, Pengwei
IPC分类号： G05B19/408
摘要： The invention relates to the technical field of industrial Big Data, in particular to a workpiece data processing method and apparatus, and a computer-readable medium, for accurately determining a relationship between production equipment processing parameters/ambient condition data and workpiece quality inspection results; it is then possible to determine optimal processing parameters on the basis of the relationship. A workpiece data method comprises: acquiring processing condition data, a quality attribute value and quality inspection result data of each of multiple workpieces processed by a piece of production equipment, wherein the processing condition data of one workpiece comprises: a processing parameter used by the production equipment when processing the workpiece and ambient condition data of the production equipment when processing the workpiece; determining a first relationship between the quality attribute value of the workpiece processed by the production equipment and the ambient condition data of the production equipment when processing the workpiece and the processing parameter of the production equipment; and determining a second relationship between the quality inspection result data and quality attribute value of the workpiece processed by the production equipment.
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3.发明公开
公开(公告)号：EP4276554A3
公开(公告)日：2024-05-22
申请号：EP23200043.0
申请日：2019-04-29
发明人： FENG, Cheng , SCHNEEGASS, Daniel , QU, Ying , TIAN, Pengwei
IPC分类号： G05B19/418 , G05B19/401 , G05B19/408
CPC分类号： G05B19/41875 , G05B19/401 , G05B19/408 , G05B2219/3219320130101 , G05B2219/3218720130101 , G05B2219/4215220130101
摘要： The invention relates to the technical field of industrial Big Data, in particular to a workpiece data processing method and apparatus, and a computer-readable medium, for accurately determining a relationship between production equipment processing parameters/ambient condition data and workpiece quality inspection results; it is then possible to determine optimal processing parameters on the basis of the relationship. A workpiece data method comprises: acquiring processing condition data, a quality attribute value and quality inspection result data of each of multiple workpieces processed by a piece of production equipment, wherein the processing condition data of one workpiece comprises: a processing parameter used by the production equipment when processing the workpiece and ambient condition data of the production equipment when processing the workpiece; determining a first relationship between the quality attribute value of the workpiece processed by the production equipment and the ambient condition data of the production equipment when processing the workpiece and the processing parameter of the production equipment; and determining a second relationship between the quality inspection result data and quality attribute value of the workpiece processed by the production equipment.
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4.发明公开
公开(公告)号：EP4341858A1
公开(公告)日：2024-03-27
申请号：EP21947476.4
申请日：2021-06-29
发明人： WANG, Fan , FENG, Cheng , LI, Congchao , CHEN, Jiawen , TANG, Qi , TIAN, Pengwei
IPC分类号： G06N3/00
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5.发明公开
公开(公告)号：EP4266209A1
公开(公告)日：2023-10-25
申请号：EP21922658.6
申请日：2021-12-27
发明人： FENG, Cheng , WANG, Fan , LI, Congchao , CHEN, Jiawen , TIAN, Pengwei
IPC分类号： G06K9/00
摘要： The embodiments of the present invention relate to an anomaly detection method and apparatus for a dynamic control system, and a computer-readable medium. The method comprises: initializing a hidden state distribution of a dynamic control system by using a g network in a neural network; receiving a measurement value of a sensor and a state value of a trigger at the current time point t, the measurement value and the state value being obtained by means of real-time monitoring; inputting at least one first sampling point into an f network in the neural network so as to perform prediction to obtain at least one second sampling point, wherein the first sampling point represents a hidden state distribution of the dynamic control system at a neighbouring time point t-1 before the current time point t, and the second sampling point represents a prior hidden state distribution of the dynamic control system at the current time point t; mapping the second sampling point to a sensor measurement value space by using an h network in the neural network, so as to perform prediction to obtain a probability distribution of the measurement value of the sensor of the dynamic control system at the current time point t; and by means of comparing the measurement value, which is obtained by means of real-time monitoring, and the probability distribution obtained by means of prediction, determining whether there is an anomaly in the system.
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6.发明公开
公开(公告)号：EP3951523A1
公开(公告)日：2022-02-09
申请号：EP19927216.2
申请日：2019-04-29
发明人： FENG, Cheng , SCHNEEGASS, Daniel , QU, Ying , TIAN, Pengwei
IPC分类号： G05B19/418
摘要： Relating to the technical field of industrial big data, and in particular to a workpiece data processing method and apparatus and a computer-readable medium, which are used for accurately determining the relationships between processing parameters of production equipment, ambient condition data, and quality inspection results of a workpiece; and optimal processing parameters may then be determined on the basis of said relationships. The workpiece data processing method comprises: obtaining processing condition data, quality attribute values, and quality inspection result data of each workpiece among a plurality of workpieces processed by one piece of production equipment, wherein the processing condition data of one workpiece comprises: processing parameters used by the production equipment when processing the workpiece and ambient condition data when the production equipment processes the workpiece; determining a first relationship between the quality attribute values of the workpiece processed by the production equipment and the ambient condition data and processing parameters of the production equipment when the production equipment processes the workpiece; and determining a second relationship between the quality inspection result data and the quality attribute values of the workpiece processed by the production equipment.
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