Systems and methods for multi-criteria alarming

    公开(公告)号:US10229583B2

    公开(公告)日:2019-03-12

    申请号:US15703615

    申请日:2017-09-13

    Applicant: Google Inc.

    Abstract: Systems and methods for using multi-criteria state machines to manage alarming states and pre-alarming states of a hazard detection system are described herein. The multi-criteria 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 sensor data values, hush events, and transition conditions. The transition conditions can define how a state machine transitions from one state to another. The hazard detection system can use a dual processor arrangement to execute the multi-criteria state machines according to various embodiments. The dual processor arrangement can enable the hazard detection system to manage the alarming and pre-alarming states in a manner that promotes minimal power usage while simultaneously promoting reliability in hazard detection and alarming functionality.

    REMOTE MANAGEMENT OF SMART THERMOSTAT LEARNING FUNCTIONALITY

    公开(公告)号:US20180080669A1

    公开(公告)日:2018-03-22

    申请号:US15268123

    申请日:2016-09-16

    Applicant: Google Inc.

    Abstract: Various arrangements for remotely managing the learning functionality of smart thermostats are presented. A smart thermostat may be located at a primary enclosure. A thermostat access client may be executed by a computerized device remote from the smart thermostat. The thermostat access client may present a plurality of thermostat settings that correspond to the smart thermostat. The settings may include a selection for: enabling and disabling a learning mode of the smart thermostat. The learning mode, when enabled, may cause the smart thermostat to modify at least one future setpoint in a heating schedule or cooling schedule based on past user input. The thermostat access client, via the selection for enabling the learning mode of the smart thermostat, may receive user input indicating that the learning mode of the first thermostat is to be enabled. A thermostat management server system may instruct the smart thermostat to enable the learning mode.

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