Google Inc.

Apple Inc.

Nest Labs, Inc.

Microsoft Technology Licensing, LLC

Joseph Adam Ruff

Yoky Matsuoka

Robert G Johnston, Jr

Mark Rajan Malhotra

Mark D Stefanski

Edwin H Satterthwaite, Jr

Rangoli Sharan

Anthony Michael Fadell

Matthew Lee Rogers

Robert R Ulrich

Andrea Mucignat

David Hendler Sloo

Michael Plitkins

Hugo Fiennes

Allen Joseph Minich

Jonathan P Solnit

Matthew S Rogers

Daniel Adam Warren

Grant Michael Erickson

Shigefumi Honjo

Joseph E Palmer

Dylan B Ashe

Daniel K Clifford

Brandon William Porter

Karen M Cross

Gary Clayton

Kara Malhotra

Andrew K Krumel

Allen J Minich

Edwin H Satterthwaite

Pierre-Alexandre F Masse

Robert P Starling

Michael D Trinkala

Jonathan Solnit

Jr Edwin H Satterthwaite

In controlling the HVAC system, a need to determine an expected indoor temperature profile for a particular schedule of setpoint temperatures may arise. To make such a determination, a thermodynamic model of the structure is used. The thermodynamic model is generated by fitting weighting factors of a set of basis functions to a variety of historical data including time information, temperature information, and HVAC actuation state information. The set of basis functions characterize an indoor temperature trajectory of the structure in response to a change in HVAC actuation state, and include an inertial carryover component that characterizes a carryover of a rate of indoor temperature change that was occurring immediately prior to the change in actuation state.

Generating and implementing thermodynamic models of a structure

A smart-home device includes a user interface including an electronic display having a first display mode and a second display mode, the first display mode generally requiring more power than said second display mode. The device also includes a processing system in operative communication with one or more environmental sensors for determining at least one environmental condition. The device additionally includes at least one sensor configured to detect a physical closeness of a user to the at least one sensor. The processing system may be configured to cause the electronic display to be in the first display mode when a closeness threshold has been exceeded, where the processing system is further configured to automatically adjust the closeness threshold based at least in part on a historical plurality of physical closeness events as detected by the at least one sensor.

Adjusting proximity thresholds for activating a device user interface

The current application is directed to intelligent controllers that continuously, periodically, or intermittently monitor progress towards one or more control goals under one or more constraints in order to achieve control that satisfies potentially conflicting goals. An intelligent controller may alter aspects of control, dynamically, while the control is being carried out, in order to ensure that goals are obtained and a balance is achieved between potentially conflicting goals. The intelligent controller uses various types of information to determine an initial control strategy as well as to dynamically adjust the control strategy as the control is being carried out.

HVAC control system providing user efficiency-versus-comfort settings that is adaptable for both data-connected and data-unconnected scenarios

The current application is directed to intelligent controllers that continuously, periodically, or intermittently calculate and display the time remaining until a control task is projected to be completed by the intelligent controller. In general, the intelligent controller employs multiple different models for the time behavior of one or more parameters or characteristics within a region or volume affected by one or more devices, systems, or other entities controlled by the intelligent controller. The intelligent controller collects data, over time, from which the models are constructed and uses the models to predict the time remaining until one or more characteristics or parameters of the region or volume reaches one or more specified values as a result of intelligent controller control of one or more devices, systems, or other entities.

Intelligent controller providing time to target state

A thermostat includes a control unit, a plurality of connection ports, and a user interface operatively coupled to the control unit an having an electronic display. The control unit may be configured and programmed to operate the wire insertion sensing circuits to identify a set of the plurality of connection ports into which corresponding ones of the plurality of HVAC wires have been inserted; cause the electronic display to display a photograph of the plurality of connection ports as they actually appear to a user; and cause the electronic display to visually highlight the set of the plurality of connection ports into which the corresponding ones of the plurality of HVAC wires have been inserted.

Thermostat facilitating user-friendly installation thereof

Thermostats disclosed herein are operable to control an HVAC system. In controlling the HVAC system, a need to determine an expected indoor temperature profile for a particular schedule of setpoint temperatures may arise. To make such a determination, a thermodynamic model of the structure is used. The thermodynamic model may be generated by fitting weighting factors of a set of basis functions to a variety of historical data including time information, temperature information, and HVAC actuation state information. The set of basis functions characterize an indoor temperature trajectory of the structure in response to a change in HVAC actuation state, and include an inertial carryover component that characterizes a carryover of a rate of indoor temperature change that was occurring immediately prior to the change in actuation state.

A thermostat may include a memory and a processing system. The processing system may operate by determining a set of wake-up conditions for the processor to enter into a second operating state from a first operating state, the set of wake-up conditions including at least one threshold value associated with at least one environmental and/or time-of-day condition; causing the set of wake-up conditions to be stored in a memory; operating in a first mode in which the processor is in the first operating state during a time interval subsequent to causing the set of wake-up conditions to be stored in the memory; determining, while the processor is in the first operating state, whether at least one of the set of wake-up conditions has been met; and then operating in a second mode in which the processor is in the second operating state.

Prospective determination of processor wake-up conditions in energy buffered HVAC control unit having a preconditioning feature

Techniques for determining and using a thermodynamic model that characterizes a thermodynamic response of an enclosure conditioned by an HVAC system are disclosed. To determine a thermodynamic model, temperature information when the HVAC system operates in a first state may first be received. A response interval may then be determined where the response interval indicates an estimated time between when the HVAC system begins operating in the first state and when the temperature within the enclosure begins to change in a direction associated with the first state. Weighting factors corresponding to basis functions may then be determined, where the weighted basis functions characterize the temperature trajectory of the enclosure in response to the HVAC system operating in the first state. The basis functions may include a first basis function that is evaluated from a time that the HVAC system begins operating in the first state until a time when the response interval ends, and a second basis function that is evaluated beginning at the time when the response interval ends.

Thermodynamic model generation and implementation using observed HVAC and/or enclosure characteristics

Intelligent environmental control system

In a multi-sensing, wirelessly communicating learning thermostat that uses power-harvesting to charge an internal power source, methods are disclosed for ensuring that the battery does not become depleted or damaged while at the same time ensuring selected levels of thermostat functionality. Charge status is monitored to determine whether the present rate of power usage needs to be stemmed. If the present rate of power usage needs to be stemmed, then a progression of performance levels and/or functionalities can be scaled back according to a predetermined progressive power conservation algorithm. In one embodiment, a wake-on-proximity function that activates a user interface based on readings from the proximity sensor may be altered while still allowing a HVAC control circuitry to operate as normal.

Strategic reduction of power usage in multi-sensing, wirelessly communicating learning thermostat

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.

In a multi-sensing, wirelessly communicating learning thermostat that uses power-harvesting to charge an internal battery, methods are disclosed for ensuring that the battery does not become depleted or damaged while at the same time ensuring selected levels of thermostat functionality. Battery charge status is monitored to determine whether the present rate of power usage needs to be stemmed. If the present rate of power usage needs to be stemmed, then a progression of performance levels and/or functionalities are scaled back according to a predetermined progressive power conservation algorithm. In a less preferred embodiment, there is a simple progressive shutdown of functionalities turned off in sequence until the desired amount of discharge stemming is reached. Battery charge preservation measures are also described for cases when an interruption of external supply power used to recharge the battery is detected.

Intelligent controller for an environmental control system

Growing community of inventors

San Jose, CA, United States of America

Joseph Adam Ruff