公开(公告)号：US20160139582A1

公开(公告)日：2016-05-19

申请号：US14975061

申请日：2015-12-18

Applicant: Google Inc.

Inventor： Yoky Matsuoka ,  Anthony M. Fadell ,  Matthew L. Rogers ,  David Sloo ,  Eric A. Lee ,  Steven A. Hales ,  Mark D. Stefanski ,  Rangoli Sharan

IPC: G05B19/10 ,  F24F11/00

CPC classification number: G05B19/106 ,  F24F11/30 ,  F24F11/58 ,  F24F11/59 ,  F24F11/61 ,  F24F11/62 ,  F24F11/64 ,  F24F11/65 ,  F24F2110/00 ,  F24F2120/20 ,  G01R22/10 ,  G05B15/02 ,  G05B19/0423 ,  G05B2219/2614 ,  G05B2219/2642 ,  G05D23/1904

Abstract: HVAC schedules may be programmed for a thermostat using a combination of pre-existing schedules or templates and automated schedule learning. For example, a pre-existing schedule may be initiated on the thermostat and the automated schedule learning may be used to update the pre-existing schedule based on users' interactions with the thermostat. The preexisting HVAC schedules may be stored on a device or received from a social networking service or another online service that includes shared HVAC schedules.

Abstract translation: 可以使用预先存在的计划或模板的组合以及自动进度学习来编程恒温器的HVAC时间表。 例如，可以在恒温器上启动预先存在的时间表，并且可以使用自动调度学习来基于用户与恒温器的相互作用来更新预先存在的时间表。 预先存在的HVAC计划可以存储在设备上或者从社交网络服务或包括共享HVAC时间表的另一在线服务接收。

公开(公告)号：US20180023833A1

公开(公告)日：2018-01-25

申请号：US15697113

申请日：2017-09-06

Applicant: Google Inc.

Inventor： Yoky Matsuoka ,  Steven A. Hales

IPC: F24F11/00 ,  G05B15/02 ,  G05D23/19 ,  H04L29/08 ,  H04L12/28

CPC classification number: F24F11/30 ,  F24F11/58 ,  F24F11/62 ,  G05B15/02 ,  G05D23/1905 ,  H04L12/2818 ,  H04L12/2825 ,  H04L67/10

Abstract: The current application is directed to an intelligent control system that includes intelligent thermostats and remote servers that spread call-home events over time to avoid large peak computational and communications loads on intelligent-control-system servers. The spreading of call-home vents over time is effected by use of call-home splay values pseudorandomly generated for intelligent thermostats.

公开(公告)号：US09020646B2

公开(公告)日：2015-04-28

申请号：US14099853

申请日：2013-12-06

Applicant: Google Inc.

Inventor： Yoky Matsuoka ,  Eric A. Lee ,  Steven A. Hales ,  Mark D. Stefanski ,  Rangoli Sharan

IPC: G06F19/00 ,  H04L12/28 ,  H04L12/40 ,  G05D23/19

CPC classification number: F24F11/62 ,  F24F11/30 ,  G05B13/0265 ,  G05D23/1904 ,  G05D23/1917 ,  H04L12/2803 ,  H04L12/2825 ,  H04L12/40013 ,  H04L2012/285

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 translation: 目前的应用针对智能控制器，该智能控制器首先积极学习，然后继续以稳态模式监视，学习和修改指定设备，机器，系统的所需操作行为的一个或多个控制计划， 或由智能控制器控制的组织。 智能控制器通常通过调度创建和调度修改接口获取一个或多个初始控制计划，或通过访问本地或远程存储在存储器或大容量存储设备中的默认控制调度。 智能控制器然后随着时间的推移，基于即时控制输入，调度修改输入以及先前和当前的控制计划，编码来了解由智能控制器控制的设备，机器，系统或组织的期望的操作行为 在一个或多个控制计划和/或子计划中的期望操作行为。

公开(公告)号：US20150354846A1

公开(公告)日：2015-12-10

申请号：US14738149

申请日：2015-06-12

Applicant: GOOGLE INC.

Inventor： Steven A. Hales ,  Michael Plitkins ,  David Sloo

IPC: F24F11/00

CPC classification number: F24F11/30 ,  B01D46/0086 ,  F24D19/10 ,  F24D19/1084 ,  F24F11/32 ,  F24F11/39 ,  F24F11/46 ,  F24F11/47 ,  F24F11/52 ,  F24F11/56 ,  F24F11/61 ,  F24F11/62 ,  F24F11/63 ,  F24F11/64 ,  F24F11/89 ,  F24F2110/00 ,  F24F2110/10 ,  F24F2120/10 ,  F24F2120/20 ,  F24F2130/40 ,  F24F2140/60 ,  G05B13/0265 ,  G05B15/02 ,  G05D23/19 ,  G05D23/1902 ,  G05D23/1917 ,  H01R9/2416 ,  H04W4/70 ,  Y02B10/20 ,  Y02B10/70 ,  Y02D70/12 ,  Y02D70/122 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/162 ,  Y10T29/49826

Abstract: Provided according to one or more embodiments is a method of processing rotational inputs to a control device having a an electronic display and user interface, such as a programmable thermostat. Methods and systems include displaying on the electronic display associated with the control device at least a portion of an initial display element selected from a sequence of display elements. In response to seeing such information, the user applies a rotational input applied to a rotational input device, such as a rotatable ring around the electronic display. A variable scroll assist engine receives this information and determines an angular movement as provided by the user through the rotational input device. In order to reduce the rotational input required by the user, the variable assist scroll engine applies one or more heuristics to variably assist with a scrolling movement of a sequence of display elements on the electronic display. The variable scroll assist engine may reduce the rotational user input required to traverse an arbitrary number of display elements to as little as a quarter-revolution of the rotational input device in order that a user is better able to operate the control device and utilize the rotational input device when navigating the user interface of the control device.

Abstract translation: 根据一个或多个实施例提供的是一种处理旋转输入到具有电子显示器和用户接口（诸如可编程恒温器）的控制装置的方法。 方法和系统包括在从显示元件的序列中选择的初始显示元件的至少一部分上，在与控制设备相关联的电子显示器上显示。 响应于看到这样的信息，用户施加到旋转输入装置（例如围绕电子显示器的可旋转环）的旋转输入。 可变滚动辅助引擎接收该信息并且通过旋转输入装置确定由用户提供的角运动。 为了减少用户所需的旋转输入，可变辅助滚动引擎施加一个或多个启发式可变地辅助电子显示器上的一系列显示元件的滚动移动。 可变滚动辅助引擎可以将旋转用户输入所需的横穿任意数量的显示元件减少到旋转输入装置的四分之一转，以便用户能够更好地操作控制装置并利用旋转 在导航控制设备的用户界面时输入设备。

公开(公告)号：US09256230B2

公开(公告)日：2016-02-09

申请号：US13842048

申请日：2013-03-15

Applicant: GOOGLE INC.

Inventor： Yoky Matsuoka ,  Anthony M. Fadell ,  Matthey L. Rogers ,  David Sloo ,  Eric A. Lee ,  Steven A. Hales ,  Mark D. Stefanski ,  Rangoli Sharan

IPC: G05D23/19 ,  H04L12/28 ,  H04L12/40 ,  F24F11/00

CPC classification number: G05D23/1917 ,  F24F11/52 ,  F24F11/58 ,  F24F11/59 ,  G05D23/1904 ,  H04L12/2825 ,  H04L12/40013 ,  H04L2012/285

Abstract: HVAC schedules may be programmed for a thermostat using a combination of pre-existing schedules or templates and automated schedule learning. For example, a pre-existing schedule may be initiated on the thermostat and the automated schedule learning may be used to update the pre-existing schedule based on users' interactions with the thermostat. The preexisting HVAC schedules may be stored on a device or received from a social networking service or another online service that includes shared HVAC schedules.

Abstract translation: 可以使用预先存在的计划或模板的组合以及自动进度学习来编程恒温器的HVAC时间表。 例如，可以在恒温器上启动预先存在的时间表，并且可以使用自动调度学习来基于用户与恒温器的相互作用来更新预先存在的时间表。 预先存在的HVAC计划可以存储在设备上或者从社交网络服务或包括共享HVAC时间表的另一在线服务接收。

公开(公告)号：US20150241079A1

公开(公告)日：2015-08-27

申请号：US14697440

申请日：2015-04-27

Applicant: Google Inc.

Inventor： Yoky Matsuoka ,  Eric A. Lee ,  Steven A. Hales ,  Mark D. Stefanski ,  Rangoli Sharan

IPC: F24F11/00 ,  H04L12/28 ,  G05B13/02

CPC classification number: F24F11/62 ,  F24F11/30 ,  G05B13/0265 ,  G05D23/1904 ,  G05D23/1917 ,  H04L12/2803 ,  H04L12/2825 ,  H04L12/40013 ,  H04L2012/285

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 translation: 目前的应用针对智能控制器，该智能控制器首先积极学习，然后继续以稳态模式监视，学习和修改指定设备，机器，系统的所需操作行为的一个或多个控制计划， 或由智能控制器控制的组织。 智能控制器通常通过调度创建和调度修改接口获取一个或多个初始控制计划，或通过访问本地或远程存储在存储器或大容量存储设备中的默认控制调度。 智能控制器然后随着时间的推移，基于即时控制输入，调度修改输入以及先前和当前的控制计划，编码来了解由智能控制器控制的设备，机器，系统或组织的期望的操作行为 在一个或多个控制计划和/或子计划中的期望操作行为。