Abstract:
Various arrangements for guiding installation of a monitoring device are presented. The monitoring device may receive, during installation of the monitoring device at a particular location at a structure, an input command to instantiate operation. The monitoring device, in response to receiving the input command to instantiate operation, may implement a test sequence to determine the particular location of the monitoring device prevents the monitoring device from operating within specification. The monitoring device may, based on the test sequence, output a notification that the particular location of the monitoring device prevents the monitoring device from operating within specification.
Abstract:
Arrangements for configuring a thermostat for controlling a heating, ventilation, and air conditioning (HVAC) system are presented. A thermostat may receive information indicative of the HVAC system comprising an air conditioner and information indicative of the HVAC system comprising a multi-stage heat pump. The thermostat may modify configuration information of the thermostat based on the information indicative of the air conditioner and the information indicative of the multi-stage heat pump. The thermostat may then control the HVAC system in accordance with the modified configuration information.
Abstract:
A hazard detector may include a light sensor that senses a brightness level in an ambient environment. The hazard detector can have a processing system that receives an indication of the brightness level in the ambient environment from the light sensor. The processing system may then determine whether illumination in the ambient environment has been dimmed. Responsive to the dimming, the processing system may access information representative of a status of one or more components of the hazard detector. An illumination state may then be selected from a plurality of illumination states based on the accessed information representative of the status of the one or more components of the hazard detector. A light may then be illuminated based on the selected illumination state.
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 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.
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.
Abstract:
A method of preconditioning an enclosure includes providing a thermostat and computing a set of preconditioning criteria information (PCI) with the thermostat. The computed PCI is typically representative of time and ambient temperature conditions for which preconditioning should be performed. The PCI may be stored in memory and used to compare against a current time and current ambient temperature condition of the enclosure to determine whether to enter the thermostat into a preconditioning state. If a determination is made that the PCI criteria are satisfied, the thermostat may be entered into the preconditioning state to heat or cool the enclosure. One or more of these processes may be performed while a processor of the thermostat is in a relatively high power mode or relatively low power mode.
Abstract:
The current application is directed to intelligent controllers that initially aggressively learn, and then continue, in a steady-state mode, to monitor, learn, and modify one or more control schedules that specify a desired operational behavior of a device, machine, system, or organization controlled by the intelligent controller. An intelligent controller generally acquires one or more initial control schedules through schedule-creation and schedule-modification interfaces or by accessing a default control schedule stored locally or remotely in a memory or mass-storage device. The intelligent controller then proceeds to learn, over time, a desired operational behavior for the device, machine, system, or organization controlled by the intelligent controller based on immediate-control inputs, schedule-modification inputs, and previous and current control schedules, encoding the desired operational behavior in one or more control schedules and/or sub-schedules.
Abstract:
A particular smart hazard detector may itself function as a guide during a process of installation of the same at an installation location. Additionally, the installation location of the particular smart hazard detector may play a central role in how various settings of the smart hazard detector are defined and adjusted over time.
Abstract:
Systems and methods for forecasting events can be provided. A measurement database can store sensor measurements, each having been provided by a non-portable electronic device with a primary purpose unrelated to collecting measurements from a type of sensor that collected the measurement. A measurement set identifier can select a set of measurements. The electronic devices associated with the set of measurements can be in close geographical proximity relative to their geographical proximity to other devices. An inter-device correlator can access the set and collectively analyze the measurements. An event detector can determine whether an event occurred. An event forecaster can forecast a future event property. An alert engine can identify one or more entities to be alerted of the future event property, generate at least one alert identifying the future event property, and transmit the at least one alert to the identified one or more entities.