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.
Abstract:
A thermostat, includes a housing and an occupancy sensor that is disposed within the housing and configured to detect physical presences of users within a responsive area of the occupancy sensor. The thermostat may also include a processing system that is disposed within the housing and in operative communication with the occupancy sensor. The processing system may be configured to determine, after a trial period, whether to activate an away-state feature by storing indications of how often the occupancy sensor detected physical presences during the trial period, computing an occupancy level for the trial period, comparing the occupancy level to a threshold criterion, determining whether sufficiently true indications of occupancy conditions were sensed by the occupancy sensor during the trial period, and enabling the away-state feature of the thermostat if it is determined that the sufficiently true indications of occupancy conditions were sensed during the trial period.
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.
Abstract:
A thermostat includes a housing, a user interface, and a processing system configured to control an HVAC system using setpoint temperature values. The thermostat may also include a plurality of HVAC connectors configured to receive corresponding HVAC control wires, and a connection sensing module configured to determine the identities of HVAC connectors into which corresponding wires have been inserted. The processing system may be further configured to identify, based on the subset of HVAC connectors, whether (i) only a single possible HVAC system configuration is indicated thereby, or (ii) multiple possible HVAC system configurations are indicated thereby, resolve a particular one of the multiple possible HVAC system configurations that is applicable based on a user response to an inquiry presented on the user interface, and operate the HVAC system according to the HVAC system configuration.
Abstract:
A thermostat for controlling an HVAC system and related systems, methods, and computer program products for facilitating user-friendly installation of the thermostat are described. For one embodiment, automated installation verification is performed by the thermostat by automatically sensing which wires have been inserted, selecting a candidate HVAC operating function {e.g., heating or cooling) that is consistent with a subset of HVAC signal types indicated by the inserted wires, applying control signals to the HVAC system to invoke that HVAC operating function, and processing a time sequence of acquired temperature readings to determine whether that HVAC operating function was successfully carried out. For one embodiment, the initial automated testing of the heating and cooling functions are only carried out at times for which such heating or cooling function would normally be invoked during normal operation of the thermostat. Automated determination of a heat pump call convention is also described.
Abstract:
Provided according to some embodiments is a thermostat is capable of discerning the time-of-day without external input. Should the user fail to set the time, the thermostat uses one or more sensors to determine the time-of-day through a variety of techniques. In one example, a light sensor can monitor natural light to understand the cycle of sun with respect to the installation location. From the cycle of natural light a latitude, time-of-year, time-of-day, etc. can be estimated through processing sensor information over time. Should the thermostat have its time manually set or gathered from the network, it would override the estimated time-of-day. Techniques can be used to filter input from the one or more sensors to avoid confusion from other inputs, for example, man-made lighting.
Abstract:
The current application is related to environmental-conditioning systems controlled by intelligent controllers and, in particular, to an intelligent-thermostat-controlled HVAC system that detects and ameliorates control coupling between intelligent thermostats. Control coupling can lead to inefficient HVAC operation. When control coupling is detected, a settings-adjustment directive is sent to at least one intelligent thermostat to adjust one or more intelligent-thermostat settings, including an HVAC-cycle-initiation delay paramter, swing parameter, and a parameter that indicates whether or not an intelligent thermostat should first obtain confirmation or permission before initiating an HVAC cycle.
Abstract:
The current application is directed to an intelligent-thermostat-controlled environmental-conditioning system in which computational tasks and subcomponents with associated intelligent-thermostat functionalities are distributed to one or more of concealed and visible portions of one or more intelligent thermostats and, in certain implementations, to one or more intermediate boxes. The intelligent thermostats are interconnected to intermediate boxes by wired and/or wireless interfaces and intelligent thermostats intercommunicate with one another by wireless communications. Wireless communications include communications through a local router and an ISP, 3G and 4G wireless communications through a mobile service provider. Components of the intelligent- thermostat-controlled environmental-conditioning system may also be connected by wireless communications to remote computing facilities.
Abstract:
A home energy efficiency platform is described having as its fundamental component a network-connected, multi-sensing learning thermostat that leverages a visually pleasing interactive display associated therewith to encourage energy-saving behavior by a competitive gamesmanship modality, either in terms of self-competition in which a users energy-saving performance is measured against themselves over time, or in terms of community competition in which a users energy-saving behavior is measured against a relevant community.
Abstract:
A home energy efficiency platform is described having as its fundamental component a network-connected, multi-sensing learning thermostat that leverages a visually pleasing interactive display associated therewith to encourage energy-saving behavior by a competitive gamesmanship modality, either in terms of self-competition in which a users energy-saving performance is measured against themselves over time, or in terms of community competition in which a users energy-saving behavior is measured against a relevant community.