摘要:
Systems and methods are described for interactively, graphically displaying and reporting performance information to a user of an HVAC system controlled by a self-programming network-connected thermostat. The information is made on a remote display device such as a smartphone, tablet computer or other computer, and includes a graphical daily or monthly summary each of several days or months respectively. In response to a user selection of a day, detailed performance information is graphically displayed that can include an indication of HVAC activity on a timeline, the number of hours of HVAC activity, as well as one or more symbols on a timeline indicating setpoint changes, and when a setpoint was changed due to non-occupancy.
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:
A method includes receiving an estimated time of arrival (ETA) relating to an arrival to an environment, an arrival of an event, arrival of an activity, or a combination thereof; and controlling, configuring, or controlling and configuring a smart device based upon the ETA.
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:
Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.
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:
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:
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:
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:
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.