18 results about "HVAC control system" patented technology

A heating, ventilation and air conditioning (HVAC) control system comprising: a smart base attached to a building; and a hub which is dockable to the smart base; wherein: the smart base comprises: a user interface for controlling a limited set of HVAC parameters; and a wireless communication module; the hub comprises: a user interface for controlling a comprehensive set of HVAC parameters; and a wireless communication module; and wherein the hub and the smart base are configured to enable the hub user interface to control the comprehensive set of HVAC parameters if the hub is docked to the smart base; or the hub is undocked from the smart base and the hub is within communication range of the smart base over the low power wireless network.

A field device 1 in an HVAC control system comprises at least one mechanical part 10, including, for example, an actuator, a sensor, or other device for controlling the fluid flow in a pipe of the HVAC system. Furthermore, the field device 1 has a control unit 11 with a first short-range wireless communication interface 112, for example, an NFC transponder. A mobile communication device 2 has a second short-range wireless communication interface 22 and a first long-range communication interface 23. When short-range communication is established between the field device 1 and the mobile communication device 2, an application program is automatically downloaded from a data server 3, transmitted to the mobile communication device 2, and executed. The application program is temporarily installed on the mobile communication device 2.

The invention relates to the technical field of heating ventilation air conditioning systems, and discloses a heating ventilation control system and method, computer equipment and a storage medium. The system comprises a detection module used for detecting performance data corresponding to each device in the heating and ventilation device; the input module is used for receiving an input instruction of a user and the performance data sent by the detection module; the energy-saving control module is used for calculating target unit set power corresponding to the heating and ventilation device according to each performance parameter; and the output module is used for receiving the set power of the target unit sent by the energy-saving control module and distributing the set power of the target unit to each device in the heating and ventilation device according to a preset strategy. By implementing the technical scheme, indoor and outdoor temperature information can be automatically collected, the operation mode of the unit can be automatically adjusted, extra manpower expenditure for maintaining the heating and ventilation system is not needed, and the defects of system deviation, lag, insufficient coverage and the like are overcome.

An HVAC control system having a cloud-based optimization engine in communication with a local building hub that interfaces with the building HVAC system and room units. The cloud-based optimization engine implements an optimal and predictive control strategy to integrate occupancy prediction, weather forecasting, and modeling of indoor infection risk, indoor air quality, and building energy consumptions. The control strategy includes a model-based predictive control and a model-free reinforcement learning approach. The control strategy considers outdoor weather (both thermal and air quality) conditions, indoor occupancy and requirements for IAQ and infectious risk reduction to decide whether outdoor air should be introduced and how much fresh air will be introduced into the space. Communications with the building hub allow the local HVAC unit to be driven according to the optimization plan. Individual room sensing units can provide local sensor data to the cloud-based optimization engine.

The utility model relates to the technical field of temperature controllers, in particular to a temperature controller for a heating ventilation air-conditioning control system, which comprises an outer frame, a through groove is arranged on the front side of the outer frame, a box door is arranged in the through groove, visual glass is arranged in the box door, a control button and a display screen are respectively arranged outside the box door, and the display screen is arranged in the box door. Quick release assemblies are symmetrically installed outside the box door and located on the left side and the right side of the control button, the quick release assemblies are used for quickly detaching and installing the outer frame and the box door, each quick release assembly comprises a frame, sliding grooves, sliding blocks and clamping strips, the frames are installed inside the box door, the sliding grooves are symmetrically formed in the frames, and the sliding blocks are arranged in the sliding grooves. Compared with an existing temperature controller for the heating ventilation air conditioner control system, the temperature controller for the heating ventilation air conditioner control system has the advantages that due to the design of the sliding blocks and the clamping strips, the outer frame and the box door of the temperature controller can be rapidly disassembled and assembled, and the overall practicability is greatly improved.

A system including a motor of a compressor system and a motor controller is disclosed. The controller is configured to selectively allocate voltage between a first winding and second winding of the compressor motor. Allocation of voltage biases the first winding of the compressor motor over the second winding. The controller selectively allocates voltage to bias windings in response to a command to transition the HVAC control system from the first operating mode to a second operating mode. The controller further selectively allocates voltage to bias windings in response to received sensor data, such as temperature, pressure, or time data. The controller biases voltages for one or more operating modes or load intervals of the system.

HVAC control system's supervisory control is crucial for energy-efficient thermal comfort in buildings. The control logic is usually specified as ‘if-then-that-else’ rules that capture the domain expertise of HVAC operators, but they often have conflict that may lead to sub-optimal HVAC performance. Embodiments of the present disclosure provide a method and system for optimized Heating, ventilation, and air-conditioning (HVAC) control using domain knowledge combined with Deep Reinforcement Learning (DRL). The system disclosed utilizes Deep Reinforcement Learning (DRL) for conflict resolution in a HVAC control in combination with domain knowledge in form of control logic. The domain knowledge is predefined in an Expressive Decision Tables (EDT) engine via a formal requirement specifier consumable by the EDT engine to capture domain knowledge of a building for the HVAC control.

A system and method for a single integrated control solution for ducted and ductless HVAC systems which seamlessly connects the ductless and ducted HVAC units coming from various brands, with no restriction in what brand or HVAC unit the consumers use. The integrated control solution can control all of the units automatically based on settings established or selected by the user, and can be as simple or complex as the user desires.

The present invention relates to the technical field of energy management, and discloses a smart energy management system for energy conservation in public buildings, including: constructing a fine-grained public building HVAC control system model and a public building cost model; constructing a hybrid optimization objective function based on the public building HVAC control system model and the public building cost model, and converting the hybrid optimization objective function into a single time slot decision optimization problem; constructing a virtual queue for wind speed distribution in all areas of the public building; optimizing and solving the single time slot decision optimization problem based on the virtual queue to obtain the public building HVAC system model parameters, and controlling the regional temperature according to the parameters. The present invention realizes energy conservation control of public buildings under the premise of ensuring high user comfort, optimizes the decision problem based on the virtual queue method, and when the virtual queue is stable, the air volume control boxes in different areas are fairly scheduled.

The utility model relates to the technical field of heating, ventilating and air conditioning control, in particular to an intelligent building heating, ventilating and air conditioning control system. The system is composed of an environmental parameter acquisition module, a main controller, an actuator group and a communication module, the environmental parameter acquisition module comprises a temperature sensor, a humidity sensor and an air quality sensor which are arranged in a building space, and the main controller is integrated with a data processing module and a storage module. The actuator set comprises a frequency conversion fan, an electric control valve and a compressor. The utility model provides an intelligent building heating, ventilating and air conditioning control system which can integrate multi-dimensional environment perception, supports dynamic hierarchical control and has high expansibility communication capability, so as to solve the problems of extensive environment regulation and control, low energy efficiency ratio, insufficient man-machine interaction and the like in the prior art.

A HVAC control system comprising a user interface adapted to receive comfort feedback from a user. A processor is adapted to receive the comfort feedback and input data corresponding to one or more comfort factors and respective values of the comfort factors. The processor is adapted to build a comfort model for the user based on the comfort feedback and the input data, with the comfort model correlating a comfort score to one or more values of one or more of the comfort factors. The processor is configured to adjust one or more functions of an HVAC unit to vary one or more comfort factors such that a predetermined comfort score is achieved. An associated method and an associated system are also provided.

A heating, ventilation, or air conditioning (HVAC) system for a building includes one or more processing circuits having one or more processors and one or more non-transitory computer-readable media containing program instructions. When executed by the one or more processors, the instructions cause the one or more processors to perform operations including providing an optimization function for operating HVAC equipment over a future time period including a plurality of time steps and using the optimization function to generate a time series of temperature setpoints for the plurality of time steps in the future time period. The time series of temperature setpoints achieve a target value of the optimization function over the future time period. The operations include operating the HVAC equipment to drive indoor air temperature toward a first temperature setpoint of the time series of temperature setpoints for a first time step of the plurality of time steps.

A system and method for managing HVAC components of a building are disclosed. An example computer-implemented method includes: collecting and analyzing sensor data from sensors in the building; determining, based on the analytics of the sensor data, a plurality of macro parameter values for heating, cooling and ventilation for the building; generating, based on the plurality of macro parameter values, micro parameter values comprising a plurality of forecast values for at least one command point of the HVAC components of the building; and instructing the HVAC components on how to operate using the micro parameter values. An artificial intelligence engine may be implemented to predict operating values for the HVAC components based on the macro or micro parameter values.

This invention provides an adaptive HVAC operation monitoring system, relating to the field of HVAC control system technology. It collects data on zone temperature, air and water parameters, flow rate, pressure, and actuator status; predicts the free drift trajectory of temperature in each zone under unchanged basic control conditions; and calculates the comfort boundary arrival time. It calculates the extension sensitivity of actuators to the comfort boundary arrival time of each zone at different operating times, constructing a comfort boundary arrival time tensor. Based on this tensor, it solves for the control quantity that increases the minimum comfort boundary arrival time, and identifies structural capability degradation by comparing theoretical and actual extension values. After degradation occurs, it performs capability reconstruction compensation based on the remaining healthy actuators, achieving early protection control, fault diagnosis, and fault-tolerant operation. This system is suitable for multi-zone centralized air conditioning scenarios and improves system operational safety and reliability.

Provided is an apparatus and system for achieving better HVAC control than existing commercially-available technologies for residential buildings. A smart HVAC control system comprising a household HVAC (Heating, Ventilation, & Air-Conditioning) system, Automatic Air Ventilation (AAV) and temperature measurement devices (TMD) in every room, which actively monitor and regulate the air flow for each room to achieve the desired temperature setting.

A heating, ventilation, and air conditioning (HVAC) system includes a housing defining a chamber configured to receive an air flow and a heating system disposed within the housing. The heating system includes a heating coil disposed within the chamber and configured to transfer heat to the air flow within the chamber and a power supply control system configured to control supply of an electric current to the heating coil. The power supply control system includes power supply control circuitry disposed at least partially external to the chamber and a switch disposed along the power supply control circuitry. The switch is configured to open to interrupt supply of the electric current to the heating coil and to close to enable supply of the electric current to the heating coil based on an operating parameter indicative of the air flow within the chamber.

Systems and methods for a centrally designed vehicle HVAC system that cools vehicle components as well as the cabin and / or delivery containers. The HVAC system is designed with the ability to divert HVAC capacity from one vehicle system to another, allowing for more optimized HVAC usage. In some examples, the HVAC system disclosed herein allows for a more optimized HVAC system size, including decreased HVAC system weight and power consumption. In various implementations, the HVAC system uses back office prediction and remote control to make the determination of HVAC system bias based on current weather conditions as well as forecasted weather conditions. The HVAC system provides a comfortable vehicle cabin while ensuring the thermal condition of vehicle systems and components are managed to avoid interruptions to service.