Parsing Event Logs for Internet of Things Devices

    公开(公告)号:US20230350780A1

    公开(公告)日:2023-11-02

    申请号:US17732005

    申请日:2022-04-28

    CPC classification number: G06F11/3476 G16Y40/10 G16Y40/20

    Abstract: In some implementations, a system may receive an event log including event data associated with a plurality of events that were performed by one or more external devices including the IoT device. Accordingly, the system may parse the event log to identify activity data, from the event data, associated with at least one activity that includes one or more events of the plurality of events. The system may further generate a case associated with the at least one activity and including information generated based on the activity data and may perform a process mining operation on the case including the activity data.

    System and Method for Detecting and Confirming Fall Events

    公开(公告)号:US20240177587A1

    公开(公告)日:2024-05-30

    申请号:US18070750

    申请日:2022-11-29

    CPC classification number: G08B21/0476

    Abstract: An example server includes a memory configured to store sensor data from a plurality of sensors in a facility; a communications interface; and a processor interconnected with the memory and the communications interface, the processor configured to: in response to receiving, via the communications interface, an event indicator from a source sensor of a client device: identify a subset of the plurality of sensors based on the event indicator; retrieve and correlate the sensor data from the identified subset of the plurality of sensors in the facility; detect a candidate event associated with a user of the client device from the correlated sensor data; and when the candidate event is detected, send an event notification to the client device.

    System and method for detecting and confirming fall events

    公开(公告)号:US12080141B2

    公开(公告)日:2024-09-03

    申请号:US18070750

    申请日:2022-11-29

    CPC classification number: G08B21/0476

    Abstract: An example server includes a memory configured to store sensor data from a plurality of sensors in a facility; a communications interface; and a processor interconnected with the memory and the communications interface, the processor configured to: in response to receiving, via the communications interface, an event indicator from a source sensor of a client device: identify a subset of the plurality of sensors based on the event indicator; retrieve and correlate the sensor data from the identified subset of the plurality of sensors in the facility; detect a candidate event associated with a user of the client device from the correlated sensor data; and when the candidate event is detected, send an event notification to the client device.

    BATTERY MANAGEMENT SYSTEM FOR MONITORING A BATTERY STATUS

    公开(公告)号:US20220294027A1

    公开(公告)日:2022-09-15

    申请号:US17199681

    申请日:2021-03-12

    Abstract: A battery management system is disclosed herein. The battery management system may monitor a charge cycle of a battery. The battery management system may determine a degradation rate of the battery. The battery management system may determine a usage pattern of the battery based on usage of the battery during a time period. The battery management system may determine, using a battery analysis model, a quantity of remaining charge cycles of the battery based on the degradation rate and the usage pattern. The battery analysis model may be trained based on historical data associated with historical usage of one or more other batteries. The battery management system may determine a status of the battery based on the quantity of remaining charge cycles and the degradation rate. The battery management system may perform, based on a time period associated with a remaining useful life, an action associated with the battery.

    DEVICES AND METHODS FOR DETERMINING AND EXTENDING A REMAINING USEFUL LIFE OF A BATTERY

    公开(公告)号:US20250147104A1

    公开(公告)日:2025-05-08

    申请号:US18386428

    申请日:2023-11-02

    Abstract: Devices and methods for determining and extending a remaining useful life of a battery are disclosed herein. In an embodiment, the method receives temperature information and state of charge information of the first battery over a duration of time and metric data of the first battery over the duration of time. The method trains a machine learning model based on historical data associated with one or more other batteries and utilizes the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data. In an embodiment, the method also receives environment information of the first battery, trains a machine learning model, and utilizes the trained machine learning model to determine at least one mitigation to extend the remaining useful life of the first battery based on the temperature information, the state of charge information, the metric data, and the environment information.

    System and Method for Tracking and Controlling Battery Consumption in Fleets of Electronic Devices Powered by Batteries

    公开(公告)号:US20250036183A1

    公开(公告)日:2025-01-30

    申请号:US18227245

    申请日:2023-07-27

    Abstract: Systems and methods for tracking and controlling battery consumption in fleets of electronic devices powered by batteries are disclosed herein. An example method includes receiving power consumption and usage information of a device over a duration of time; determining a first power usage value of the device based on the power consumption and usage information over the duration; analyzing the power consumption and usage information to determine an attribute associated with excess power usage of the device over the duration; identifying and applying a mitigation to address the attribute and to decrease the first power usage value over the duration; determining a second power usage value of the device based on the implemented mitigation over the duration; determining a difference between the first and second power usage values over the duration; and determining at least one metric indicative of power conservation over the duration based on the determined difference.

    System and Method for Identifying Performance or Productivity Degradation in Devices when Application Profiles of Devices are Changed in a Logical Group

    公开(公告)号:US20240193066A1

    公开(公告)日:2024-06-13

    申请号:US18080667

    申请日:2022-12-13

    CPC classification number: G06F11/3409 G06N20/00

    Abstract: An AI-based recommendation and alerting system and method for identifying performance or productivity degradation in devices when application profiles are changed in a logical group based on business function, site, or an organization are disclosed herein. An example method includes receiving indications of instances of performance degradation associated with devices; determining application profile changes associated with the devices, having occurred prior to the instances of performance degradation; determining a likelihood that the application profile changes are related to the instances of performance degradation associated with the devices by applying a machine learning model executing on to the indications of instances of performance degradation associated with the devices and the application profile changes associated with the one or more devices; and identifying fixes to the application profiles associated with the devices that may be applied to mitigate the instances of performance degradation associated with the devices.

Patent Agency Ranking