REMOTE ALARM HUSHING WITH ACOUSTIC PRESENCE VERIFICATION

    公开(公告)号:US20170206772A1

    公开(公告)日:2017-07-20

    申请号:US15476069

    申请日:2017-03-31

    Applicant: Google Inc.

    Abstract: Embodiments of the present disclosure provide methods and systems for enabling remote alarm hushing with acoustic presence verification. Acoustic presence verification is used to assure that a device attempting to remotely deactivate an alarm is located within a certain distance of an alarming device before allowing the alarm to be hushed. Acoustic presence can be established through emission and monitoring of ultrasonic acoustic signals. The ultrasonic acoustic signals may be transmitted at a frequency that exceeds human hearing such as, for example, between 18 KHz and 22 kHz. Such ultrasonic signals have a relatively short range and are unable to penetrate walls and floors, thus providing an effective tool for ensuring that the device attempting to remotely hush an alarming device is within a line-of-sight of the alarming device.

    Remote alarm hushing with acoustic presence verification

    公开(公告)号:US09640061B1

    公开(公告)日:2017-05-02

    申请号:US14986398

    申请日:2015-12-31

    Applicant: Google Inc.

    Abstract: Embodiments of the present disclosure provide methods and systems for enabling remote alarm hushing with acoustic presence verification. Acoustic presence verification is used to assure that a device attempting to remotely deactivate an alarm is located within a certain distance of an alarming device before allowing the alarm to be hushed. Acoustic presence can be established through emission and monitoring of ultrasonic acoustic signals. The ultrasonic acoustic signals may be transmitted at a frequency that exceeds human hearing such as, for example, between 18 kHz and 22 kHz. Such ultrasonic signals have a relatively short range and are unable to penetrate walls and floors, thus providing an effective tool for ensuring that the device attempting to remotely hush an alarming device is within a line-of-sight of the alarming device.

    SYSTEMS AND METHODS FOR INTELLIGENT ALARMING
    17.
    发明申请
    SYSTEMS AND METHODS FOR INTELLIGENT ALARMING 有权
    智能报警系统与方法

    公开(公告)号:US20160019777A1

    公开(公告)日:2016-01-21

    申请号:US14335699

    申请日:2014-07-18

    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.

    Abstract translation: 本文描述了使用状态机来管理危险检测系统的报警状态和预警状态的系统和方法。 状态机可以包括可以控制报警状态的一个或多个传感器状态机,以及可以控制预报警状态的一个或多个系统状态机。 每个状态机可以基于原始传感器数据值,滤波的传感器数据值和转换条件在其状态的任一状态下转换。 过滤器可用于将原始传感器值转换成可由一个或多个状态机使用的过滤值。 这样的滤波器可以通过滤除可能使数据解释失真或导致误报的读数来提高数据解释的准确性。 例如,烟雾传感器读数可以由烟雾报警过滤器过滤,以减轻蒸汽的存在。

    SYSTEMS AND METHODS FOR INTELLIGENT ALARMING

    公开(公告)号:US20170132906A1

    公开(公告)日:2017-05-11

    申请号:US15412355

    申请日:2017-01-23

    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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