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公开(公告)号：US20190026635A1
公开(公告)日：2019-01-24
申请号：US15657698
申请日：2017-07-24
Applicant: SAP SE
Inventor： Xuemin WANG , Justin Zhang , Brook Zhao , Lin Cai , Rajnish Prasad
Abstract: Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.
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Patent Agency Ranking
公开(公告)号：US20210142099A1
公开(公告)日：2021-05-13
申请号：US16677481
申请日：2019-11-07
Applicant: SAP SE
Inventor： Jie He , Yanbing Li , Hong Liu , Yubo Lou , Lin Cai , Xuemin Wang
Abstract: Systems and processes for identifying a pointer in an image of an analog instrument are provided herein. An instrument contour in the image corresponding to the analog instrument may be identified. A plurality of candidate pointer contours in the image may be identified and screened using one or more geometric property screening techniques including an evaluation of a geometric area, a distance parameter, and/or a gravity center of the plurality of candidate pointer contours. Principal component analysis (PCA) may be performed to select an identified pointer contour from among the reduced plurality of candidate pointer contours. A linear regression model may be applied to pixel points in the contour area of the identified pointer contour and a slope and angle of an associated pointer represented by the identified pointer contour may be determined based on an output of the linear regression model.
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公开(公告)号：US11416326B2
公开(公告)日：2022-08-16
申请号：US17006449
申请日：2020-08-28
Applicant: SAP SE
Inventor： Jie He , Jianwei Chen , Lin Cai , Xiaoling Zhou , Xuemin Wang
IPC: G06F11/07
Abstract: A computer-implemented method for failure diagnosis using fault tree can include: receiving a fault tree comprising a node representing a top event, a plurality of nodes representing respective basic events, and one or more logic gates connecting the plurality of nodes representing the respective basic events to the node representing the top event; obtaining reliability parameters corresponding to the basic events; calculating fault tree importance measures corresponding to the basic events; calculating failure impact factors of the top event corresponding to the basic events, wherein the failure impact factors of the top event are products of the corresponding reliability parameters and the corresponding fault tree importance measures; ranking the basic events based on the failure impact factors of the top event; and identifying a most significant contributor to the top event, wherein the most significant contributor is a basic event having the highest failure cause probability of the top event.
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公开(公告)号：US20220066853A1
公开(公告)日：2022-03-03
申请号：US17006449
申请日：2020-08-28
Applicant: SAP SE
Inventor： Jie He , Jianwei Chen , Lin Cai , Xiaoling Zhou , Xuemin Wang
IPC: G06F11/07
Abstract: A computer-implemented method for failure diagnosis using fault tree can include: receiving a fault tree comprising a node representing a top event, a plurality of nodes representing respective basic events, and one or more logic gates connecting the plurality of nodes representing the respective basic events to the node representing the top event; obtaining reliability parameters corresponding to the basic events; calculating fault tree importance measures corresponding to the basic events; calculating failure impact factors of the top event corresponding to the basic events, wherein the failure impact factors of the top event are products of the corresponding reliability parameters and the corresponding fault tree importance measures; ranking the basic events based on the failure impact factors of the top event; and identifying a most significant contributor to the top event, wherein the most significant contributor is a basic event having the highest failure cause probability of the top event.
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公开(公告)号：US10885446B2
公开(公告)日：2021-01-05
申请号：US15657698
申请日：2017-07-24
Applicant: SAP SE
Inventor： Xuemin Wang , Baoguo Zhang , Xing Zhao , Lin Cai , Rajnish Prasad
IPC: G06F3/048 , G06N5/04 , G07C5/08 , G06F16/9537 , G06F3/01 , G07C5/00 , G06F3/0481
Abstract: Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.
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公开(公告)号：US11301712B2
公开(公告)日：2022-04-12
申请号：US16677481
申请日：2019-11-07
Applicant: SAP SE
Inventor： Jie He , Yanbing Li , Hong Liu , Yubo Lou , Lin Cai , Xuemin Wang
Abstract: Systems and processes for identifying a pointer in an image of an analog instrument are provided herein. An instrument contour in the image corresponding to the analog instrument may be identified. A plurality of candidate pointer contours in the image may be identified and screened using one or more geometric property screening techniques including an evaluation of a geometric area, a distance parameter, and/or a gravity center of the plurality of candidate pointer contours. Principal component analysis (PCA) may be performed to select an identified pointer contour from among the reduced plurality of candidate pointer contours. A linear regression model may be applied to pixel points in the contour area of the identified pointer contour and a slope and angle of an associated pointer represented by the identified pointer contour may be determined based on an output of the linear regression model.
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