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公开(公告)号:US20230403579A1
公开(公告)日:2023-12-14
申请号:US18366607
申请日:2023-08-07
Applicant: Xerox Corporation
Inventor: David Eric Schwartz , Paloma Juanita Fautley , Eric David Cocker , Warren Jackson
CPC classification number: H04W24/02 , G06T7/74 , G06V20/20 , G06K7/10722 , G06K7/1417 , G08B21/182 , H04W8/005 , H04W84/18
Abstract: Methods and systems to commission building environmental sensors are disclosed. The system includes a device that will move about the environment of a building (inside and/or outside) and detect building environmental sensor devices that are installed in the environment. For each of the sensor devices, in response to detecting the sensor device, the system will retrieve an identifier for the sensor device, and it will determine whether the sensor device is registered with a control system. If the sensor device is registered with the control system, the system will not automatically implement a commissioning process with the sensor device. If the sensor device is not registered with the control system, the system will automatically implement the commissioning process with the sensor device.
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公开(公告)号:US12267700B2
公开(公告)日:2025-04-01
申请号:US18366607
申请日:2023-08-07
Applicant: Xerox Corporation
Inventor: David Eric Schwartz , Paloma Juanita Fautley , Eric David Cocker , Warren Jackson
Abstract: Methods and systems to commission building environmental sensors are disclosed. The system includes a device that will move about the environment of a building (inside and/or outside) and detect building environmental sensor devices that are installed in the environment. For each of the sensor devices, in response to detecting the sensor device, the system will retrieve an identifier for the sensor device, and it will determine whether the sensor device is registered with a control system. If the sensor device is registered with the control system, the system will not automatically implement a commissioning process with the sensor device. If the sensor device is not registered with the control system, the system will automatically implement the commissioning process with the sensor device.
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公开(公告)号:US20240411961A1
公开(公告)日:2024-12-12
申请号:US18206767
申请日:2023-06-07
Applicant: Xerox Corporation
IPC: G06F30/27
Abstract: A framework is provided where a stochastic fully data-driven model (FDDM) predicts states of the ocean for both short and long-time scales with uncertainty quantification. The FDDM, which can generate a large number of ensembles at low computational cost, is integrated with a multi-layer perceptron-based data assimilation algorithm, which can efficiently and accurately assimilate Lagrangian ocean observations.
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