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11.发明申请AUTOMATED PRESENCE DETECTION AND PRESENCE-RELATED CONTROL WITHIN AN INTELLIGENT CONTROLLER 审中-公开智能控制器中的自动存在检测和存在相关控制公开(公告)号：US20160025367A1
公开(公告)日：2016-01-28
申请号：US14878869
申请日：2015-10-08
Applicant: Google Inc.
Inventor： Yoky Matsuoka , Evan Jarman Fisher , Mark Rajan Malhotra , Mark Stefanski , Rangoli Sharan , Frank Astier
CPC classification number: F24F11/30 , F24F11/62 , G05B15/02 , G05B2219/2642 , G05D23/1902 , G06N99/005 , H04L12/2829 , H04Q9/00 , H04Q2209/10
Abstract: The current application is directed to intelligent controllers that use sensor output and electronically stored information, including one or more of electronically stored rules, parameters, and instructions, to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers employ feedback information to continuously adjust the electronically stored parameters and rules in order to minimize the number of incorrect inferences with respect to the presence or absence of the one or more entities and in order to maximize the efficiency by which various types of systems controlled by the intelligent controllers carry out selected operational modes.
Abstract translation: 目前的应用涉及使用传感器输出和电子存储信息的智能控制器，其包括电子存储的规则，参数和指令中的一个或多个，以确定一个或多个类型的实体是否存在于区域， 或由智能控制器监控的环境。 智能控制器选择操作模式并修改关于一个或多个实体的存在和不存在的控制时间表。 智能控制器使用反馈信息来连续地调整电子存储的参数和规则，以便相对于一个或多个实体的存在或不存在来最小化不正确的推论的数量，并且为了最大化各种类型的系统的效率 智能控制器控制器执行选择的操作模式。
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公开(公告)号：US10175668B2
公开(公告)日：2019-01-08
申请号：US15244530
申请日：2016-08-23
Applicant: Google Inc.
Inventor： Anthony Michael Fadell , Yoky Matsuoka , David Sloo , Michael Plitkins , Michael James Matas , Matthew Lee Rogers , Evan J. Fisher , Eric A. Lee , Steven A. Hales, IV , Mark D. Stefanski , Rangoli Sharan
Abstract: Systems and methods are provided for efficiently controlling energy-consuming systems, such as heating, ventilation, or air conditioning (HVAC) systems. For example, an electronic device used to control an HVAC system may encourage a user to select energy-efficient temperature setpoints. Based on the selected temperature setpoints, the electronic device may generate or modify a schedule of temperature setpoints to control the HVAC system.
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公开(公告)号：US09709290B2
公开(公告)日：2017-07-18
申请号：US14600469
申请日：2015-01-20
Applicant: GOOGLE INC.
Inventor： Yoky Matsuoka , Frank E. Astier , Rangoli Sharan , Anthony Michael Fadell
CPC classification number: F24F11/30 , F24F11/46 , F24F11/56 , F24F11/62 , F24F11/65 , F24F2120/10 , F24F2140/60 , G05B15/02 , G05B19/048 , G05B2219/2614 , G05D23/1904
Abstract: Methods for controlling temperature in a conditioned enclosure such as a dwelling are described that include an “auto-away” and/or “auto-arrival” feature for detecting unexpected absences which provide opportunities for significant energy savings through automatic adjustment of the setpoint temperature. According to some preferred embodiments, when no occupancy has been detected for a minimum time interval, an “auto-away” feature triggers a changes of the state of the enclosure, and the actual operating setpoint temperature is changed to a predetermined energy-saving away-state temperature, regardless of the setpoint temperature indicated by the normal thermostat schedule. The purpose of the “auto away” feature is to avoid unnecessary heating or cooling when there are no occupants present to actually experience or enjoy the comfort settings of the schedule, thereby saving energy.
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公开(公告)号：US20160100233A1
公开(公告)日：2016-04-07
申请号：US14971799
申请日：2015-12-16
Applicant: Google Inc.
Inventor： Anthony Michael Fadell , Matthew Lee Rogers , Kipp Avery Rogers , Abraham K. Ishihara , Shahar Ben-Menahem , Rangoli Sharan
Abstract: A system for detecting occupancy of an enclosure may include a sensing system adapted to monitor utility information for the enclosure which tends to indicate a likelihood of occupancy of the enclosure. The utility information may include power line information, Smart Meter information, Wi-Fi information, etc. The system may also include a processing system programmed to estimate occupancy of the enclosure based at least in part on the monitored utility information by the sensing system.
Abstract translation: 用于检测外壳占用的系统可以包括适于监视机箱的实用程序信息的感测系统，其倾向于指示外壳占用的可能性。 效用信息可以包括电力线信息，智能电表信息，Wi-Fi信息等。系统还可以包括被编程为至少部分地基于由感测系统监视的公用事业信息来估计占用率的处理系统。
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公开(公告)号：US09245229B2
公开(公告)日：2016-01-26
申请号：US14322724
申请日：2014-07-02
Applicant: Google Inc.
Inventor： Anthony Michael Fadell , Matthew Lee Rogers , Kipp Avery Rogers , Abraham K. Ishihara , Shahar Ben-Menahem , Rangoli Sharan
CPC classification number: H04Q9/00 , G05B15/02 , G05B2219/2642 , G06N5/04 , G06N5/048 , G06N99/005 , H04L12/282 , H04L12/2823 , H04Q2209/40 , H04Q2209/60 , H05B37/0227 , Y02B20/48 , Y02B70/3241 , Y04S20/227
Abstract: Systems and methods are described for predicting and/or detecting occupancy of an enclosure, such as a dwelling or other building, which can be used for a number of applications. An a priori stochastic model of occupancy patterns based on information of the enclosure and/or the expected occupants of the enclosure is used to pre-seed an occupancy prediction engine. Along with data from an occupancy sensor, the occupancy prediction engine predicts future occupancy of the enclosure. Various systems and methods for detecting occupancy of an enclosure, such as a dwelling, are also described.
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Patent Agency Ranking
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
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。
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公开(公告)号：US20170292731A1
公开(公告)日：2017-10-12
申请号：US15632752
申请日：2017-06-26
Applicant: Google Inc.
Inventor： Yoky Matsuoka , Frank E. Astier , Rangoli Sharan , Anthony Michael Fadell
IPC: F24F11/00 , G05B19/048
CPC classification number: F24F11/30 , F24F11/46 , F24F11/56 , F24F11/62 , F24F11/65 , F24F2120/10 , F24F2140/60 , G05B15/02 , G05B19/048 , G05B2219/2614 , G05D23/1904
Abstract: Methods for controlling temperature in a conditioned enclosure such as a dwelling are described that include an “auto-away” and/or “auto-arrival” feature for detecting unexpected absences which provide opportunities for significant energy savings through automatic adjustment of the setpoint temperature. According to some preferred embodiments, when no occupancy has been detected for a minimum time interval, an “auto-away” feature triggers a changes of the state of the enclosure, and the actual operating setpoint temperature is changed to a predetermined energy-saving away-state temperature, regardless of the setpoint temperature indicated by the normal thermostat schedule. The purpose of the “auto away” feature is to avoid unnecessary heating or cooling when there are no occupants present to actually experience or enjoy the comfort settings of the schedule, thereby saving energy.
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18.发明授权HVAC schedule establishment in an intelligent, network-connected thermostat 有权HVAC计划建立在一个智能的网络连接恒温器中公开(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
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。
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19.发明授权Automated presence detection and presence-related control within an intelligent controller 有权智能控制器内的自动存在检测和存在相关控制公开(公告)号：US09189751B2
公开(公告)日：2015-11-17
申请号：US14099760
申请日：2013-12-06
Applicant: Google Inc.
Inventor： Yoky Matsuoka , Evan J. Fisher , Mark Malhotra , Mark D. Stefanski , Rangoli Sharan , Frank E. Astier
CPC classification number: F24F11/30 , F24F11/62 , G05B15/02 , G05B2219/2642 , G05D23/1902 , G06N99/005 , H04L12/2829 , H04Q9/00 , H04Q2209/10
Abstract: The current application is directed to intelligent controllers that use sensor output and electronically stored information, including one or more of electronically stored rules, parameters, and instructions, to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers employ feedback information to continuously adjust the electronically stored parameters and rules in order to minimize the number of incorrect inferences with respect to the presence or absence of the one or more entities and in order to maximize the efficiency by which various types of systems controlled by the intelligent controllers carry out selected operational modes.
Abstract translation: 目前的应用涉及使用传感器输出和电子存储信息的智能控制器，其包括电子存储的规则，参数和指令中的一个或多个，以确定一个或多个类型的实体是否存在于区域， 或由智能控制器监控的环境。 智能控制器选择操作模式并修改关于一个或多个实体的存在和不存在的控制时间表。 智能控制器使用反馈信息来连续地调整电子存储的参数和规则，以便相对于一个或多个实体的存在或不存在来最小化不正确的推论的数量，并且为了最大化各种类型的系统的效率 智能控制器控制器执行选择的操作模式。
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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
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。
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