公开(公告)号：US20140324232A1

公开(公告)日：2014-10-30

申请号：US13871734

申请日：2013-04-26

Applicant: NEST LABS, INC.

Inventor： Yash Modi ,  Yoki Matsuoka ,  John B. Filson

IPC: G05D23/19 ,  F24F11/00

CPC classification number: F24F11/006 ,  F24F11/30 ,  F24F11/56 ,  F24F11/62 ,  F24F2110/10 ,  F24F2110/12 ,  G05B15/02 ,  G05D23/1931 ,  H04W4/80 ,  Y02D70/142 ,  Y02D70/162 ,  Y02D70/26

Abstract: A thermostat may include one or more temperature sensors, and a processing system configured to be in operative communication with an HVAC system. The processing system may be configured to operate a first operating state characterized by relatively low power consumption and a corresponding relatively low associated heat generation, and a second operating state characterized by relatively high power consumption and a corresponding relatively high associated heat generation. During time intervals in which the processing system is operating in the first operating state, the processing system may process the temperature sensor measurements according to a first ambient temperature determination algorithm to compute the determined ambient temperature. During time intervals in which the processing system is operating in the second operating state, the processing system may process the temperature sensor measurements according to a second ambient temperature determination algorithm to compute the determined ambient temperature.

Abstract translation: 恒温器可以包括一个或多个温度传感器，以及被配置为与HVAC系统进行操作性通信的处理系统。 处理系统可以被配置为操作特征在于相对低的功率消耗和相应的相对较低的相关联的热产生的第一操作状态，以及以相对较高的功率消耗和相应的相对较高的相关的热产生为特征的第二操作状态。 在处理系统在第一操作状态下操作的时间间隔期间，处理系统可以根据第一环境温度确定算法处理温度传感器测量值，以计算所确定的环境温度。 在处理系统在第二操作状态下操作的时间间隔期间，处理系统可以根据第二环境温度确定算法处理温度传感器测量值，以计算确定的环境温度。

公开(公告)号：US20140156085A1

公开(公告)日：2014-06-05

申请号：US14085594

申请日：2013-11-20

Applicant: Nest Labs, Inc.

Inventor： Yash Modi ,  Yoky Matsuoka ,  Mark Malhotra

IPC: G05D23/19

CPC classification number: F24F11/62 ,  F24F11/0012 ,  F24F11/006 ,  F24F11/30 ,  F24F11/64 ,  F24F2011/0063 ,  F24F2110/10 ,  G05B13/04 ,  G05D23/19 ,  G05D23/1919 ,  G06N5/048

Abstract: Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.

Abstract translation: 本发明的实施例描述了使用模型预测控制和相关方法的恒温器。 使用模型预测控制来控制恒温器的方法可以包括确定参数化模型。 参数化模型可用于预测外壳的环境温度值。 可以选择一套辐射加热系统控制策略进行评估，以从控制策略集中确定最佳控制策略。 为了确定最佳控制策略，可以执行预测算法，其中每个控制策略应用于参数化模型以预测环境温度轨迹，并且考虑到预定的评估功能来处理每个环境温度轨迹。 以这种方式处理环境温度轨迹可能涉及最小化与环境温度轨迹相关联的成本值。 可以随后根据所选择的最佳控制策略来控制辐射加热系统。

公开(公告)号：US08600561B1

公开(公告)日：2013-12-03

申请号：US13632152

申请日：2012-09-30

Applicant: Nest Labs, Inc.

Inventor： Yash Modi ,  Yoky Matsuoka ,  Mark Malhotra

IPC: G06F19/00

CPC classification number: F24F11/62 ,  F24F11/0012 ,  F24F11/006 ,  F24F11/30 ,  F24F11/64 ,  F24F2011/0063 ,  F24F2110/10 ,  G05B13/04 ,  G05D23/19 ,  G05D23/1919 ,  G06N5/048

Abstract: Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.