Abstract:
Ambient amount of a hazardous condition may be monitored. A mode may be set to a state indicative of the hazardous condition being present in the ambient environment. It may then be determined that the amount of the hazard in the ambient environment has dropped below an alarm criterion. A time period may then be tracked during which the amount of the hazardous condition present in the ambient environment of the hazard detector has remained below the alarm criterion. It may be determined that the time period has reached at least a threshold duration, during such time period the amount of the hazardous condition present in the ambient environment of the hazard detector having remained below the alarm criterion. An indication of the hazardous condition easing may be output in response to the time period being at least the threshold duration.
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.
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:
Systems and methods for controlling a climate control system of a smart-home environment that includes a plurality of smart devices are provided. One method includes detecting, with a hazard detector of the smart devices, a level of carbon monoxide (CO) at the hazard detector that exceeds a threshold CO level at a location of the hazard detector, determining, by one of the smart devices, that the climate control system includes a combustion based heat source, and in response to the detecting and the determination, transmitting, by a system controller of the climate control system, a first signal to turn off at least one aspect of the climate control system.
Abstract:
Systems and methods for providing spoken messages that reflect event status of one or more hazard detection systems within a smart-home environment are described herein. The messages can inform occupants in concise manner that does not overload cognitive recognition of those occupants. For example, the messages may be prioritized to limit the amount of information that is spoken and intelligently condense information in as concise a manner as possible. This may be accomplished by using one or more speaking paradigms to compile audible messages to be played back through a speaker of the hazard detection system.
Abstract:
Systems and methods for self-administering a sound test to verify operation of a speaker and/or alarm within a hazard detection system are described herein. The sound test can verify that the audible sources such as the alarm and speaker operate at the requisite loudness and frequencies. In addition, the sound test can be self-administered in that it does not require the presence of a person to initiate or verify that the audible sources are functioning properly.
Abstract:
In an embodiment, a method determines one or more sources of carbon monoxide (CO) in a smart-home environment that includes a plurality of smart devices that have at least measurement and communication capabilities. The method includes measuring a level of CO in the smart-home environment to generate a CO measurement, and providing the CO measurement and one or more current characteristics of the smart-home environment, from one or more of the smart devices to an analyzing device. The method further includes evaluating, by the analyzing device and with the CO measurement and the current characteristics of the smart-home environment, a set of CO correlation scenarios that attribute generation of CO to a corresponding one of a set of specific sources, and selecting one or more of the specific sources as the most likely source of the CO, by aggregating results of the correlation scenarios.