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公开(公告)号：US11477285B2
公开(公告)日：2022-10-18
申请号：US17195693
申请日：2021-03-09
Applicant: International Business Machines Corporation
Inventor： Clement Decrop , John M. Ganci, Jr. , Sarbajit K. Rakshit , Martin G. Keen
Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically determine whether a received command conflicts with a current environment setting. Embodiments of the present invention can, in response to determining that the impact of a received command conflicts with a current environment setting, determine one or more solutions that resolves the received command. Embodiments of the present invention can then execute at least one of the one or more determined solutions.
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公开(公告)号：US20220293289A1
公开(公告)日：2022-09-15
申请号：US17195693
申请日：2021-03-09
Applicant: International Business Machines Corporation
Inventor： Clement Decrop , John M. Ganci, JR. , Sarbajit K. Rakshit , Martin G. Keen
Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically determine whether a received command conflicts with a current environment setting. Embodiments of the present invention can, in response to determining that the impact of a received command conflicts with a current environment setting, determine one or more solutions that resolves the received command. Embodiments of the present invention can then execute at least one of the one or more determined solutions.
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公开(公告)号：US11438434B2
公开(公告)日：2022-09-06
申请号：US17125257
申请日：2020-12-17
Applicant: Carrier Corporation
Inventor： Subhasis Mandal , Yogesh B , Vinoth Kumar Annamalai
IPC: G06F15/173 , H04L67/303 , G16Y40/40 , G16Y40/10 , G16Y20/20 , G16Y40/20 , G06Q10/00
Abstract: Aspects of the invention are directed towards a system and a method for generating service actionable for a plurality of equipment. Embodiments of the invention describe the method comprises steps of behaviorally classifying an equipment into normalizing classification and behavior classification. The method further comprises steps of processing the normalizing and behavior classifications to generate one or more profiles corresponding to the equipment. The one or more profiles represent time-granular behavior patterns of the equipment. The method comprises steps of generating time-granular normalized characteristics for the equipment and normalizing variances of the time-granular normalized characteristics and the time-granular behavior patterns to generate possible service actionable (SACT) recommendations that are integrated into workflows to drive action and receive prediction confirmation.
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公开(公告)号：US20220245006A1
公开(公告)日：2022-08-04
申请号：US17162671
申请日：2021-01-29
Applicant: Microsoft Technology Licensing, LLC
Inventor： Hanumantha Rao KOMMALAPATI , Atulya BEHERAY , Arun MANNENGAL
Abstract: A method for reducing latencies associated with anomaly detection and response in an internet-of-things (IoT) device includes analyzing sensor data collected by the IoT device to evaluate various predefined anomaly criteria and dynamically assigning the IoT device a condition indicator based on the evaluation of the predefined anomaly criteria, where the condition indicator is indicative of detection or non-detection one or more potential anomalies. The method further provides for selectively implementing an IoT event prioritization scheme based on the dynamically-assigned condition indicator.
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公开(公告)号：US20220037040A1
公开(公告)日：2022-02-03
申请号：US17021239
申请日：2020-09-15
Applicant: Shenzhen Fugui Precision Ind. Co., Ltd.
Inventor： LIU-QING ZHANG , FANG-HUA XIA , YUAN-BO ZHU , CHENG LI , HONG ZOU
Abstract: In a method of data processing executed in a gateway, a communication protocol matched with a target device is selected from a device driver database of the gateway; a connection with the target device is established according to the matched communication protocol; a sensing data of the target device is acquired; a data cleaning processing is performed on the acquired sensing data; and the processed data is shared to a third-party platform.
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Patent Agency Ranking
公开(公告)号：US20210386198A1
公开(公告)日：2021-12-16
申请号：US16899154
申请日：2020-06-11
Applicant: Kohler Co.
Inventor： Kathryn Clouse , Jennifer Tarplee , Maria Jahn , Steven Mark Hammond , Erin Lilly , Sasha Drumm , John Lipinski
IPC: A47B67/00 , G02B5/08 , A47G1/02 , G01K1/14 , G16Y20/40 , G16Y20/10 , G16Y40/10 , G16Y40/20 , G06F13/16 , H04W4/80
Abstract: One implementation of the present disclosure is an apparatus including a mirror frame configured to support a mirror substrate that provides a reflection of one or more users in proximity of the mirror cabinet, a sensor cavity coupled to the mirror frame and configured to support a temperature sensor for detecting a temperature of the one or more users in proximity to the mirror cabinet, and a controller configured to analyze data received from the temperature sensor.
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公开(公告)号：US20210375492A1
公开(公告)日：2021-12-02
申请号：US16886428
申请日：2020-05-28
Applicant: Hitachi, Ltd.
Inventor： Andrew WALKER , Joydeep ACHARYA
Abstract: Example implementations described herein can dynamically adapt to changing nature of sensor data traffic and through artificial intelligence (AI, strike a good tradeoff between reducing volume of sensed data, and retain enough data fidelity so that subsequent analytics applications perform well. The example implementations eliminate heuristic methods of setting sensing parameters (such as DAQ sampling rate, resolution etc.) and replaces them with an automated, AI driven edge solution core that can be readily ported on any Internet of Things (IoT) edge gateway that is connected to the DAQ.
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公开(公告)号：US20210241927A1
公开(公告)日：2021-08-05
申请号：US17166553
申请日：2021-02-03
Applicant: Hubbell Incorporated
Inventor： Paul Robert Langdon
Abstract: A system and method for determining abnormal conditions based on signals received from smart devices. The method includes receiving, via a controller and transmitted via one or more devices, one or more first signals indicative of one or more first statuses of the one or more devices. The method includes determining, via the controller and based on the one or more first statuses, a base model. The method includes receiving, via the controller and transmitted via the one or more devices, one or more second signals indicative of one or more second statuses of the one or more devices. The method includes comparing, via the controller, the one or more statuses to the base model and determining, via the controller and based on the comparison, an occurrence of an abnormal condition.
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29.发明申请公开(公告)号：US20210224828A1
公开(公告)日：2021-07-22
申请号：US16745673
申请日：2020-01-17
Applicant: Bank of America Corporation
Inventor： Michael Ogrinz , Maria Carolina Barraza Enciso , Daniel J. Serna , Elena Kvochko
Abstract: A method for identifying and mitigating a negative sentiment trend derived from sentiment analysis is provided. The analysis is based on aggregating a plurality of biometric information artifacts obtained from consumers in a consumer center. The method includes harvesting the artifacts from the plurality of consumers, identifying a biometric information trend. The biometric trend includes a verbal communications trend recorded from among the plurality of consumers. The verbal communications are captured using microphone(s). The method may also include periodically updating the harvesting to update the biometric information trend. The method may also include determining, over the pre-determined amount of time, that the biometric information trend is a negative biometric information trend. In response to the determining the method may trigger, based at least in part on a slope of the negative biometric information trend, a mitigating response to the negative biometric information trend.
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公开(公告)号：US20210182693A1
公开(公告)日：2021-06-17
申请号：US16716993
申请日：2019-12-17
Applicant: Tignis, Inc.
Inventor： Jonathan L. Herlocker , Matt McLaughlin , Alexander Fry
Abstract: A method for detecting anomalies in a physical system generates from a set of physics rules and a process graph representing the system a set of candidate physics models that assign physics rules to portions of the process graph representing sensors. Candidate physics models are rejected if an error between the models and sensor data exceed a predetermined error tolerance. Supervised learning is used to train a machine learning model to predict an error between the physics models and the sensor data. The predicted error and predicted sensor measurements from the physics models are then used to detect anomalies using unsupervised learning on a distribution of error between the predicted sensor measurements and the sensor data.
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