Smart-home control platform having morphable locus of machine intelligence based on characteristics of participating smart-home devices

    公开(公告)号:US09915930B2

    公开(公告)日:2018-03-13

    申请号:US14636936

    申请日:2015-03-03

    Applicant: Google Inc.

    CPC classification number: G05B15/02 G05B2219/2642 H04L12/2807

    Abstract: A system is provided, including a plurality of inter-connected premises management devices, each premises management device including a storage device, a memory that stores computer executable components, and a processor that executes the following computer executable components stored in the memory: a primary function component to control a primary function of the premises management device related to managing a premises, a communication component to locate and to communicate with other compatible premises management devices, and a computational component to process system related tasks. Each premises management device is configured to function as part of a unit comprising one or more devices that collectively form a primary system processor when the present primary system processor assigns the respective premises management device to the unit. The primary system processor processes system level tasks.

    SYSTEMS AND METHODS FOR INTELLIGENT ALARMING

    公开(公告)号:US20170103639A1

    公开(公告)日:2017-04-13

    申请号:US15388832

    申请日:2016-12-22

    Applicant: Google Inc.

    Abstract: Systems and methods for using state machines to manage alarming states and pre-alarming states of a hazard detection system are described herein. The state machines can include one or more sensor state machines that can control the alarming states and one or more system state machines that can control the pre-alarming states. Each state machine can transition among any one of its states based on raw sensor data values, filtered sensor data values, and transition conditions. Filters may be used to transform raw sensor values into filtered values that can be used by one or more state machines. Such filters may improve accuracy of data interpretation by filtering out readings that may distort data interpretation or cause false positives. For example, smoke sensor readings may be filtered by a smoke alarm filter to mitigate presence of steam.

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