29 results about "Indoor air temperature" patented technology

The invention provides a heterogeneous building air conditioner group quick response control method based on physical information deep learning, and the method comprises the steps: 1, obtaining a real-time discrete step scheduling instruction issued by a power grid, obtaining the thermodynamic parameters and equipment inertia time constants of all building units in a heterogeneous building group, obtaining the outdoor temperature, and carrying out the real-time discrete step scheduling instruction; the solar radiation intensity and the indoor air temperature of each building unit; step 2, extracting spatial-temporal characteristics of each building unit based on a multi-head self-attention mechanism, and generating initial distribution target power of the air conditioner; 3, inputting the initial allocation target power into a pre-trained cascaded physical information neural network (PINN), and predicting power and temperature evolution tracks in a future scheduling period; 4, calculating an out-of-limit risk index of each unit, judging whether to execute a quantile risk migration strategy or not, and generating a final distribution target power of the air conditioner; and 5, calculating the transient climbing deviation between the actual aggregation power and the target power of the power grid, and carrying out deviation compensation.

The invention provides an aggregation power determination method of an air conditioner cluster and electronic equipment, and can be applied to the technical field of electronic systems. The method comprises the steps that thermodynamic parameters are determined based on building maintenance structure parameters of buildings where all air conditioners in a target air conditioner cluster are deployed, and clustering analysis is conducted on air conditioner users of all the air conditioners to obtain a plurality of air conditioner user clusters; utilizing a second-order equivalent thermal parameter model to obtain the indoor air temperature and the building solid temperature of any air conditioner user cluster at the current moment according to the indoor air temperature, the building solid temperature, the environment thermal disturbance parameters and the air conditioner refrigeration power at the initial moment, and obtaining the indoor air temperature and the building solid temperature of any air conditioner user cluster at the current moment according to the indoor air temperature at the historical moment. And state transition is conducted on state sub-vectors corresponding to all the air conditioners in the global state vectors at the historical moment, the global state vector at the current moment is obtained, the number of the air conditioners in the running state is determined, and the aggregation power of the target air conditioner cluster at the current moment is determined according to the preset air conditioner running power.

The invention relates to the technical field of building physics and artificial intelligence crossing, and discloses a traditional village dwelling thermal performance prediction system based on deep learning, comprising a data acquisition module for acquiring solar radiation, wind speed and direction, internal and external pressure difference and indoor and outdoor temperature; the radiation decoupling network module is used for predicting the net radiation heat flux of the outer surface according to the solar radiation, the sun position and the component posture; the microclimate permeation network module is used for predicting a convective heat transfer regulation factor according to the pressure difference, the wind and the opening state; the implicit state network module adopts a circulation structure and introduces an implicit thermal state vector to represent the thermal inertia of the enclosure structure; and an indoor thermal environment integration module that integrates the convective heat flux based on the heat balance and outputs an indoor air temperature predicted value. According to the system, through decoupling modeling of radiation, permeation and heat transfer of the enclosure structure, prediction interpretability of the indoor thermal environment of a traditional dwelling is improved, and the system is suitable for building scenes which are built with non-standard materials such as rammed earth and depend on natural ventilation.

The invention discloses a clean air and sewage intelligent networking mechanism system for controlling indoor air temperature and humidity. The clean air and sewage intelligent networking mechanism system comprises a plurality of gas detectors, at least one cooling exchanger, at least one heat exchanger, at least one dehumidifier, at least one humidifier and at least one networking cloud computing service device, the refrigeration exchanger, the heating exchanger, the dehumidifier and the humidifier are internally provided with gas detectors, an air guide fan, a filtering assembly and a driving controller, and the networking cloud computing service device receives air pollution information, carbon dioxide pressure detection information and gas temperature and humidity information detected by a plurality of gas detectors; and intelligent operation and comparison are carried out, a control instruction is sent out to control the operation of the air guide fans of the refrigeration exchanger, the heating exchanger, the dehumidifier and the humidifier to adjust the temperature and the humidity of an indoor field domain, and air pollution gas is drained to carry out circulating air pollution purification in the indoor field domain.

The present application belongs to the technical field of material hot air drying, and particularly relates to a multi-mode heat pump drying system with air energy and exhaust air stream waste heat complementation, which mainly comprises a drying chamber, a condenser, a compressor, an exhaust air stream waste heat recovery device, a gas collector, an air source evaporator, a water source evaporator, an exhaust air fan and the like, the air source evaporator and the water source evaporator respectively take outdoor air and water in the exhaust air stream waste heat recovery device as low-temperature heat sources, a temperature difference controller controls opening and closing of an electromagnetic valve on the air source evaporator side and an electromagnetic valve on the water source evaporator side according to a temperature difference between water temperature in the exhaust air stream waste heat recovery device and air temperature at an inlet of the air source evaporator, and the purpose of the present application is to adjust air temperature, relative humidity, oxygen content and CO2 concentration in the drying chamber according to needs, effectively utilize exhaust air stream waste heat, improve drying quality and drying loss of materials, and improve thermal performance and energy utilization efficiency of heat pump hot air drying.

The invention discloses a sunlight greenhouse film rolling device PLC closed-loop ventilation precise control system and method, and the system comprises an environment sensing module which is used for collecting the indoor air temperature and relative humidity in real time; the encoder module is used for detecting the actual opening degree and the movement direction of the film rolling device in real time; and the PLC control module is used for constructing a closed-loop control chain of the microclimate index, the target opening degree and the number of turns of the motor according to the indoor air temperature, the relative humidity and the actual opening degree and the movement direction of the film rolling device, accurate control over the position of the film rolling device is achieved, and then the greenhouse microclimate is accurately regulated and controlled. By adopting the technical scheme of the invention, the position feedback of the execution end can be introduced, and the film rolling ventilation can be accurately regulated and controlled in cooperation with the greenhouse microclimate sensor and the PLC.

This device is mounted on the ceiling and measures the temperature of the floor surface using infrared radiation, while also measuring the temperature of the ceiling surface using a sensor-integrated thermistor, thereby calculating the air temperature of the living space. The device consists of a main body housing the sensor and an arm made of spring metal, which is inserted into the inside of the ceiling panel through a through-hole provided in the ceiling panel. The ceiling panel is then sandwiched between the lid, which protrudes from the outside of the ceiling panel, and the arm, which is inserted inside the ceiling panel (see perspective view).

The invention discloses a control method and system of an environment conditioning system and a storage medium, relates to the technical field of environment conditioning systems, and discloses the control method of the environment conditioning system, which comprises the following steps: controlling radiation end equipment to operate a heating mode; the indoor air temperature and the area temperature of the radiation end equipment installation area are obtained; and the convection heat exchange equipment is controlled to operate according to the indoor air temperature and the area temperature, and the indoor comfort in the heating process of the environment adjusting system is improved.

This utility model relates to the field of ventilation and heating pipe technology, and more specifically, to an indoor ventilation and heating pipe for green buildings. It includes a pipe body, a connecting structure, an air purification structure, and an energy recovery structure. The pipe bodies are connected by the connecting structure. The air purification structure is located on the inner wall of the pipe body, and the energy recovery structure is located on the outer periphery of the pipe body. The energy recovery structure includes a base layer and a phase change material. The base layer is annularly wrapped around the outer wall of the pipe body, and the base layer and pipe body are tightly bonded together by a hot-pressing process. A second groove is formed on the surface of the base layer, and the phase change material is filled into the second groove. A protective layer is provided on the outer layer of the base layer. During ventilation, when there is a temperature difference between indoor and outdoor air, the phase change material can absorb or release heat, realizing the recovery and reuse of indoor air energy and reducing the energy consumption of the heating and ventilation system.

A control method for an anti-condensation radiant cooling system, including: step 1, acquiring temperature matrix data of indoor thermal images, an indoor air temperature ta, and a relative humidity (RH); step 2, performing an occupant counting for indoor active occupants; step 3, determining a condensation risk; and step 4, calculating a predicted mean vote (PMV) value under current indoor conditions based on the temperature matrix data of indoor thermal images, the indoor air temperature ta, and the relative humidity (RH).

The application discloses a control method of an air conditioner, the air conditioner comprises a radiation module and a heat pump module, the heat pump module is used for adjusting indoor air temperature through heat exchange, and the radiation module is used for releasing radiation wave to heat indoor air or supplementing heat required by human bodies; the control method of the air conditioner comprises the following steps: obtaining an operation mode of the air conditioner; when the operation mode is a defrosting mode, controlling the heat pump module to defrost and starting the radiation module. The application also discloses an air conditioner and a computer readable storage medium. The application aims to avoid that indoor temperature is greatly reduced during the defrosting process of the air conditioner, and realizes that the defrosting of the air conditioner is combined with the guarantee of indoor user comfort.

The application provides a kind of existing building BEM modeling method, system, equipment and medium based on unmanned aerial vehicle infrared thermal image, belongs to building modeling technical field, obtains building image sequence by unmanned aerial vehicle aerial photography;Generate the three-dimensional geometric model of building main body;Through the analysis of the RGB value characteristics of the visible light point cloud, the outer window candidate area is selected, the window hole three-dimensional boundary is generated, the inner surface temperature and indoor air temperature are determined by integrating the inner surface infrared temperature and area weighting;Based on the temperature data and the construction parameters of the envelope structure, the heat transfer coefficient of the outer wall, roof and outer window is inverted, and the weighted average K value is combined to finally build the building energy consumption model.The method realizes the accurate operation from building geometric model construction to heat parameter acquisition, to building energy consumption model construction.Improves the efficiency and accuracy of existing building BEM modeling, and provides a scientific basis for building energy saving reconstruction, energy consumption evaluation, etc.

The invention relates to a comfortable air conditioner terminal temperature and humidity cooperative control method which comprises the following steps: firstly, determining the increasing and decreasing directions of a cooling capacity load and a dehumidification load which need to be adjusted by an air conditioner terminal based on the deviation between the measured values and the set values of the indoor air temperature and humidity; then, according to a preset air conditioner terminal full-working-condition parameter database, a target operation parameter combination which is high in matching degree with the current operation state parameters and meets the load adjusting requirement is retrieved; the target operation parameter combination serves as a control instruction to be input into an air conditioner terminal system; and finally, a PID feedback control algorithm is adopted to dynamically adjust the chilled water flow of the air conditioner terminal until the indoor air temperature is stabilized at a set control value. By combining intelligent retrieval and PID dynamic adjustment of a full-working-condition database, cooperative matching of indoor temperature precision control and humidity range control of the comfortable air conditioning system is achieved, the thermal comfort requirement is met, energy waste caused by excessive dehumidification is avoided, and the comfort air conditioning system is suitable for being popularized and used. The method is suitable for operation regulation and control scenes of typical terminal devices such as air handling units and fan coils of a comfortable central air conditioning system.

The application provides an air energy ground cooling system anti-condensation intelligent control method and system, which comprises the following steps: acquiring indoor air temperature, relative humidity and ground heating water inlet temperature; calculating indoor dew point temperature and the change trend of each parameter; calculating the condensation remaining time in combination with the ground cooling inertia compensation coefficient; determining the judgment level time according to the condensation remaining time of the continuous period, and then determining the air energy ground cooling operation level; finally, executing the corresponding anti-condensation control action according to the operation level. Through real-time monitoring of the environmental parameters and the water temperature trend, the application can predict the condensation risk in advance and dynamically adjust the equipment operation state, effectively avoiding the ground condensation phenomenon in the ground cooling mode, improving the operation stability and indoor comfort of the air energy ground cooling system, and having the advantages of timely response and precise control.

The present application is applicable to the technical field of air conditioners, and provides a flexible regulation and control method for an air conditioner, an apparatus, a computer device, a storage medium and a computer program product. The method comprises: when a predicted indoor air temperature value reaches an upper indoor comfort temperature limit value, giving a comfort level alarm; and, in response to the comfort level alarm and on the basis of a building heat balance model, adjusting the set value of an operating parameter until the comfort level alarm stops, using as the latest set value the set value of the operating parameter when the comfort level alarm stops and, on the basis of the latest set value, operating an air conditioner, the building heat balance model at least comprising an air conditioner model and a virtual battery model, and the virtual battery model comprising an association relationship between a building equivalent heat capacity and a virtual battery charge-discharge heating and cooling capacity. The solution in the embodiments of the present application can achieve accurate control of air conditioner power and indoor temperature.

1. The name of the design product: air energy heat pump heating unit. 2. The use of the design product: the design product is used to adjust indoor air temperature. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. Name of the product in this design: Heater. 2. Purpose of this design: This design is a household appliance used to increase indoor air temperature. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The method comprises the following steps: determining an initial number of people, an initial indoor temperature and an initial indoor carbon dioxide concentration of a building served by a heating ventilation air conditioning (HVAC) system; determining a predicted number of people and a room occupancy state at a target time point according to the initial number of people; determining a predicted indoor temperature and a predicted indoor carbon dioxide concentration at the target time point according to the initial indoor temperature, the initial indoor carbon dioxide concentration and the predicted number of people; inputting the room occupancy state, the predicted indoor temperature and the predicted indoor carbon dioxide concentration into a pre-trained model optimizer to obtain an indoor air temperature set value and a fresh air flow of the HVAC system at the target time point, and an optimization target of the model optimizer comprises a thermal comfort penalty, an indoor air quality penalty and an energy consumption penalty. Thus, an efficient balance among energy efficiency optimization, residential comfort and air quality can be achieved.

The utility model relates to a modular phase change heat storage and release device. The multiple modular phase change heat storage and release devices are hung and / or placed indoors. The modular phase-change heat storage and release device comprises a plurality of phase-change material storages which are arranged side by side at certain intervals and a module support used for fixing the phase-change material storages. The phase change material storage comprises a packaging tube, a solid-liquid phase change material and a tube plug; the packaging pipe is vertically arranged and is used for filling a solid-liquid phase change material; the pipe plugs are fixedly connected to the top end and the bottom end of the packaging pipe and used for plugging the packaging pipe. The pipe plug at the top end is provided with a vent hole; the module support comprises a limiting frame, a bearing frame and a harness cord. The bearing frame and the limiting frame are arranged at the bottom end and the upper portion of the packaging pipe correspondingly. And the limiting frame and the bearing frame are hinged together through a harness cord. By utilizing the characteristic of high phase change latent heat of the phase change material, the device is mounted in a greenhouse, surplus solar energy is collected in the daytime, heat is released at low temperature at night to be used for increasing indoor temperature, and good growth of crops is guaranteed.

1. Name of the designed product: heating unit (for high and large space). 2. Use of the designed product: the designed product is used for adjusting indoor air temperature. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

An airflow generation system includes: an outside air temperature detector that detects an outside air temperature that is a temperature of an outdoor area; an inside air temperature detector that detects an inside air temperature of a space separated from the outdoor area by a structure that is upright; an airflow generation device that generates airflow that flows along the structure from a ceiling to a floor or from the floor to the ceiling in the space; and a control device that controls the airflow generation device based on the outside air temperature detected and the inside air temperature detected.

The utility model discloses a constant temperature and humidity ground temperature regulating type air conditioning indoor system, it is used for cooperating with as outdoor unit part's heat pump host computer, still including the parallelly connected air conditioning module and floor heating module, air conditioning module includes indoor unit, and the pipeline of refrigerant inlet and refrigerant outlet of indoor unit is equipped with first expansion valve and first flow regulating valve respectively, floor heating module includes floor heating heat exchanger, and the pipeline of refrigerant inlet and refrigerant outlet of floor heating heat exchanger is equipped with second expansion valve and second flow regulating valve respectively, and the refrigerant inlet pipeline of indoor unit and the refrigerant inlet pipeline of floor heating heat exchanger are connected on first main pipeline respectively, and the refrigerant outlet pipeline of indoor unit and the refrigerant outlet pipeline of floor heating heat exchanger are connected on second main pipeline respectively. The utility model can realize the quick accurate control of indoor air temperature and indoor air relative humidity, and indoor will not appear dewing when using floor heating refrigeration.

This invention discloses a control method for an air conditioner. The air conditioner includes a main unit and a sub-unit. The main unit has a compartment and a power supply module. The sub-unit includes a casing, an energy storage system, an energy release system, and an energy storage tank. The energy storage system includes a compressor, a first heat exchanger, and a second heat exchanger. The energy storage tank contains an energy storage medium that exchanges heat with the first heat exchanger. The sub-unit has an energy release mode. The control method includes: detecting the temperature of the energy storage medium to determine whether cooling is needed; when the sub-unit needs energy storage, it moves to a charging position within the compartment, the power supply module supplies power to the sub-unit, the energy storage system operates, and the energy storage medium stores energy. Therefore, when the energy storage medium needs cooling, by controlling the sub-unit to return to the compartment and store energy in the energy storage medium, compared with the prior art, the power consumption rate of the sub-unit can be slowed down, thereby extending the working time of the sub-unit after it leaves the compartment, and thus improving the efficiency of the air conditioner in regulating indoor air temperature.

The present invention relates to an air conditioning apparatus and a method for controlling same. According to the present invention, the air conditioning apparatus comprises: a ventilation device for exchanging indoor air and outdoor air of a space to be air-conditioned; an indoor unit for controlling a temperature of the indoor air of the space to be air-conditioned by using heat exchange of a refrigerant; an outdoor unit for supplying the refrigerant to the indoor unit; a first temperature sensor for sensing a first temperature of the outdoor air; a second temperature sensor for sensing a second temperature of the indoor air; a humidity sensor for sensing humidity of the indoor air; and a processor for performing power saving control of the ventilation device, the outdoor unit, and the indoor unit on the basis of the first temperature, the second temperature, the humidity, and a performance coefficient of the indoor unit.

An air pollution cleaning smart network mechanism system is disclosed and includes plural gas detectors, a cooling heat exchanger, a heating heat exchanger, a dehumidifier, a humidifier and a networked cloud computing service device. Each of the cooling heat exchanger, the heating heat exchanger, the dehumidifier and the humidifier includes the gas detector, an air guiding fan, a filter component and a driving controller. The networked cloud computing service device receives air pollution information, carbon dioxide pressure detection information and gas temperature and humidity information detected by the gas detectors, intelligently selects to issues control instructions to control actuation operation of the air guiding fans in the cooling heat exchanger, the heating heat exchanger, the dehumidifier and the humidifier. Thereby, the temperature and humidity in the indoor field is adjusted, and the air pollution gas in the indoor field is guided to the filter component for clean treatment.

The invention relates to the technical field of energy-saving heat exchange devices, and discloses an air conditioning system suitable for an ultra-low energy consumption building, the air conditioning system comprises a building main body and a plurality of groups of ventilation pipes which are vertically symmetrical, one end of each ventilation pipe penetrates through the building main body and extends to the inner wall, and the end, away from the building main body, of each ventilation pipe is provided with a heat exchange assembly in a butt joint mode; the heat exchange assembly comprises installation pipes installed at one ends of the ventilation pipes in a butt joint mode, and bridge pipes are installed at the other ends of the installation pipes in a butt joint mode. According to the equipment, all accessories in the heat exchange assembly are matched for operation, in hot or cold weather, two sets of fans are started at a low speed to rotate forwards and reversely to achieve indoor and outdoor air alternation, meanwhile, a heat exchange annular cavity and a heat conduction part in the heat exchange assembly are used for conducting new and old air heat transfer, and multiple pre-cooling or pre-heating is conducted on new air; the purposes of keeping indoor air temperature balance and reducing the refrigerating or heating load of the air conditioning equipment are achieved, the energy consumption of the air conditioning equipment is remarkably reduced, and the indoor air quality is guaranteed.

The application provides a wall double-unknown thermal parameter inversion method and system based on a physical neural network, and belongs to the technical field of building energy saving, and comprises the following steps: obtaining relevant environmental parameters and infrared image data of a wall to be measured at an inversion moment; inputting the infrared image data into a convolutional neural network model to obtain temperature field information of an outer wall surface of the wall to be measured; setting an initial curve of an inner wall surface temperature based on the smooth characteristics and moderate lagging effect of indoor air temperature, and giving an initial value of a heat conductivity coefficient; jointly constructing a physical neural network model according to the Fourier heat conduction law and the boundary conditions of inner and outer surface convective heat exchange; inputting the relevant environmental parameters and the temperature field information of the outer wall surface into the physical neural network model to perform forward solving to obtain the heat transfer coefficient of the wall to be measured and the inner wall surface temperature. The application can obtain stable and reliable wall heat conductivity coefficients and inner wall surface temperatures.

The application provides a heterogeneous building air conditioner group rapid response control method based on physical information deep learning, which comprises the following steps: step 1, obtaining real-time discrete step scheduling instructions issued by a power grid, obtaining thermodynamic parameters and equipment inertia time constants of each building unit in a heterogeneous building group, and obtaining outdoor temperature, solar radiation intensity and indoor air temperature of each building unit; step 2, extracting the space-time characteristics of each building unit based on a multi-head self-attention mechanism to generate initial allocation target power of air conditioners; step 3, inputting the initial allocation target power into a pre-trained cascaded physical information neural network (PINN) to predict power and temperature evolution trajectories in a future scheduling period; step 4, calculating the out-of-limit risk index of each unit to determine whether to execute a quantile risk migration strategy to generate final allocation target power of air conditioners; and step 5, calculating the transient climbing deviation between the actual aggregated power and the target power of the power grid and performing deviation compensation.

The invention provides a wall double-unknown thermal parameter inversion method and system based on a physical neural network, and belongs to the technical field of building energy conservation, and the method comprises the steps: obtaining related environment parameters and infrared image data of a to-be-detected wall at an inversion moment; inputting the infrared image data into a convolutional neural network model to obtain temperature field information of the outer wall surface of the to-be-measured wall; setting an initial curve of the temperature of the inner wall surface based on the smooth characteristic and the moderate hysteresis effect of the indoor air temperature, and giving an initial value of a heat conductivity coefficient; jointly constructing a physical neural network model according to a Fourier heat conduction law and inner and outer surface convective heat transfer boundary conditions; and inputting the related environmental parameters and the temperature field information of the outer wall surface into the physical neural network model, and carrying out forward solution to obtain the heat transfer coefficient and the inner wall surface temperature of the to-be-measured wall body. According to the invention, stable and reliable wall heat conductivity coefficient and inner wall surface temperature can be obtained.