RADIANT HEATING CONTROLS AND METHODS FOR AN ENVIRONMENTAL CONTROL SYSTEM
    4.
    发明申请
    RADIANT HEATING CONTROLS AND METHODS FOR AN ENVIRONMENTAL CONTROL SYSTEM 有权
    辐射加热控制和环境控制系统的方法

    公开(公告)号:US20150134122A1

    公开(公告)日:2015-05-14

    申请号:US14596059

    申请日:2015-01-13

    申请人: Google Inc.

    IPC分类号: F24F11/00 G05B13/04 G06N5/04

    摘要: 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.

    摘要翻译: 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,其中每个控制策略被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。

    BACKGROUND SCHEDULE SIMULATIONS IN AN INTELLIGENT, NETWORK-CONNECTED THERMOSTAT
    6.
    发明申请
    BACKGROUND SCHEDULE SIMULATIONS IN AN INTELLIGENT, NETWORK-CONNECTED THERMOSTAT 审中-公开
    背景技术在智能,网络连接的温度计中的计划模拟

    公开(公告)号:US20160305681A1

    公开(公告)日:2016-10-20

    申请号:US15189401

    申请日:2016-06-22

    申请人: Google Inc.

    摘要: Various arrangements for promoting energy efficiency in association with an HVAC system of an enclosure are presented. A first HVAC schedule may be accessed that includes setpoints. The HVAC system may be operated according to the first HVAC schedule. The first HVAC schedule may be processed to generate a second HVAC schedule representative of what would have been generated by an automated schedule learning algorithm operating over the period of time. The second HVAC schedule can be simulated using a thermal model of the enclosure to determine a hypothetical cost of operating the HVAC system according to the second HVAC schedule over the period of time. Information representative of an energy cost difference between an actual cost of operating the HVAC system according to the first HVAC schedule and the hypothetical cost of operating the HVAC system according to the second HVAC schedule can be generated.

    摘要翻译: 介绍了与外壳的HVAC系统相关的提高能源效率的各种安排。 可以访问包括设定值的第一HVAC调度。 HVAC系统可以根据第一HVAC时间表操作。 可以处理第一HVAC时间表以生成表示在一段时间内操作的自动调度学习算法将产生的第二HVAC调度。 可以使用机箱的热模型来模拟第二HVAC调度,以确定在一段时间内根据第二HVAC调度来运行HVAC系统的假设成本。 可以产生代表根据第一HVAC时间表操作HVAC系统的实际成本与根据第二HVAC时间表操作HVAC系统的假设成本之间的能量成本差异的信息。

    Background schedule simulations in an intelligent, network-connected thermostat
    8.
    发明授权
    Background schedule simulations in an intelligent, network-connected thermostat 有权
    在智能,网络连接的恒温器中的背景调度模拟

    公开(公告)号:US09417637B2

    公开(公告)日:2016-08-16

    申请号:US13828767

    申请日:2013-03-14

    申请人: Google Inc.

    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。

    Systems and methods for anticipatory locking and unlocking of a smart-sensor door lock
    9.
    发明授权
    Systems and methods for anticipatory locking and unlocking of a smart-sensor door lock 有权
    预先锁定和解锁智能传感器门锁的系统和方法

    公开(公告)号:US09396599B1

    公开(公告)日:2016-07-19

    申请号:US14726144

    申请日:2015-05-29

    申请人: Google Inc.

    发明人: Mark Malhotra

    IPC分类号: G07C9/00 H04W12/08

    摘要: An electronic device associated with a lock device obtains a number of users detected within a premises, and detects a trigger event related to a lock device and premises. When the trigger event is detected, a target state of the lock device is determined based on: (1) the number of users within the premises, (2) user security profiles indicating a desired target state of the lock device when a respective user is within the premises, (3) locations of detected users; (4) user states of detected users indicating whether the respective user is asleep or active; and/or (5) a current premises mode, including an armed state and a disarmed state. A current state of the lock device is determined, and if the current state and the target state of the lock device are not the same, instructions are provided to the lock device based on the target state.

    摘要翻译: 与锁定装置相关联的电子设备获得在房屋内检测到的多个用户,并且检测与锁定装置和房屋有关的触发事件。 当检测到触发事件时,基于以下方式来确定锁定装置的目标状态:(1)房屋内的用户数量,(2)当各个用户为相应用户时指示锁定装置的期望目标状态的用户安全简档 (3)检测用户的位置; (4)检测到的用户的用户状态,指示相应用户是否已经睡着或活跃; 和/或(5)当前的房屋模式,包括武装国家和被解除武装的国家。 确定锁定装置的当前状态,并且如果锁定装置的当前状态和目标状态不相同,则基于目标状态向锁定装置提供指令。

    Intelligent controller for an environmental control system
    10.
    发明授权
    Intelligent controller for an environmental control system 有权
    用于环境控制系统的智能控制器

    公开(公告)号:US09002526B2

    公开(公告)日:2015-04-07

    申请号:US13970164

    申请日:2013-08-19

    申请人: Google Inc.

    IPC分类号: G05D23/19 H04L12/28

    摘要: 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.

    摘要翻译: 目前的应用针对智能控制器,其在一个或多个约束下连续,周期地或间歇地监视朝向一个或多个控制目标的进展,以便实现满足潜在冲突目标的控制。 智能控制器可以在控制正在执行时动态地改变控制的方面,以确保获得目标并在潜在的冲突目标之间实现平衡。 智能控制器使用各种类型的信息来确定初始控制策略,以及在执行控制时动态调整控制策略。