-
公开(公告)号：US20140195012A1
公开(公告)日：2014-07-10
申请号：US14099853
申请日：2013-12-06
申请人： Nest Labs, Inc.
IPC分类号： H04L12/28
CPC分类号： F24F11/62 , F24F11/30 , G05B13/0265 , G05D23/1904 , G05D23/1917 , H04L12/2803 , H04L12/2825 , H04L12/40013 , H04L2012/285
摘要： 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.
摘要翻译： 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。
-
2.发明申请公开(公告)号：US20140058567A1
公开(公告)日：2014-02-27
申请号：US13842048
申请日：2013-03-15
申请人： Nest Labs, Inc.
发明人： Yoky Matsuoka , Anthony M. Fadell , Matthew L. Rogers , David Sloo , Eric A. Lee , Steven A. Hales , Mark D. Stefanski , Rangoli Sharan
IPC分类号： G05D23/19
CPC分类号： G05D23/1917 , F24F11/52 , F24F11/58 , F24F11/59 , G05D23/1904 , H04L12/2825 , H04L12/40013 , H04L2012/285
摘要： 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.
摘要翻译： 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：US08630740B2
公开(公告)日：2014-01-14
申请号：US13632041
申请日：2012-09-30
申请人： Nest Labs, Inc.
IPC分类号： G06F19/00
CPC分类号： F24F11/62 , F24F11/30 , G05B13/0265 , G05D23/1904 , G05D23/1917 , H04L12/2803 , H04L12/2825 , H04L12/40013 , H04L2012/285
摘要： 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.
摘要翻译： 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：US20130103622A1
公开(公告)日：2013-04-25
申请号：US13632041
申请日：2012-09-30
申请人： NEST LABS, INC.
IPC分类号： G06F15/18
CPC分类号： F24F11/62 , F24F11/30 , G05B13/0265 , G05D23/1904 , G05D23/1917 , H04L12/2803 , H04L12/2825 , H04L12/40013 , H04L2012/285
摘要： 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.
-
-
-
搜索结果
4 条记录 (耗时 0.018 秒)
