100 results about "Outdoor temperature" patented technology

The application provides a data center cooling tower automatic deicing device, and relates to the technical field of cooling towers. The device comprises: an air heat exchange system connected with a data center machine room and a data center cooling tower, used for guiding the heat of the data center machine room to the data center cooling tower for ice prevention and deicing, and guiding the cold obtained by the data center cooling tower for ice prevention and deicing to the data center machine room for cooling; and a detection control system comprising: a temperature sensor, at least comprising a first temperature sensor, installed outside the air inlet side of the data center cooling tower, used for monitoring the outdoor temperature of the air inlet side of the data center cooling tower, a data center dynamic ring system connected with the first temperature sensor and the air heat exchange system, used for starting the air heat exchange system according to the outdoor temperature of the air inlet side of the data center cooling tower, so as to realize the ice prevention and deicing of the data center cooling tower and the cooling of the data center machine room. The application can balance the deicing efficiency and energy consumption control.

The present application relates to the technical field of heat supply balance management, in particular to a heat supply balance management method and system for end user heat supply. The method comprises the following steps: S1, a heat supply global data acquisition model is built, heat supply pipeline data is collected, and an end user list is obtained according to the heat supply pipeline data; outdoor temperature and historical heat supply temperature of each end user are synchronously obtained; independent temperature periods are divided according to the outdoor temperature value; the same heat supply scheme is adopted for classification and elimination of regulation and control interference; temperature differences of different users are compared under the same heat supply condition; exclusive heat loss coefficients of each household are quantitatively generated; heat loss differences caused by floors, orientations and wall heat preservation can be accurately distinguished; user target heat supply temperature is dynamically corrected according to the heat loss coefficient; the temperature correction range of users with large heat loss is increased, and the correction range of users with excellent heat preservation performance is reduced; the uneven heating and cooling problem caused by inconsistent heat dissipation of different houses is solved from the heat loss level of the user itself.

The application discloses a dynamic adjustment method and system suitable for balanced air supply of high and large space air conditioners, and the method comprises the following steps: obtaining an initial control strategy item from a seasonal control database based on current outdoor temperature and humidity data, current indoor temperature and humidity data and target control parameters, so as to perform automatic air supply control on the air conditioner; obtaining an adjusted control strategy item from the seasonal control database based on the outdoor temperature and humidity data, the indoor temperature and humidity data and the target control parameters after a preset time interval, so as to perform automatic air supply control on the air conditioner; obtaining an optimized control strategy item by analyzing and processing the indoor temperature and humidity data after air supply of the air conditioner, the target control parameters and all outdoor temperature and humidity data through a preset seasonal control model, performing automatic air supply control on the air conditioner by using the optimized control strategy item, and continuously optimizing the control parameters automatically by using a machine self-learning optimization control algorithm, so that the consistency of the high and large space air conditioner control is realized.

The application discloses a linkage heating method, device, equipment and medium of an air conditioner and a third-party heat source. The method comprises the following steps: determining a current heating mode according to received control information; if the current heating mode is linkage heating, controlling the air conditioner equipment and the third-party heat source to perform linkage heating according to a current indoor temperature and a set temperature; and if the current heating mode is single heating, controlling the air conditioner equipment or the third-party heat source to perform single heating according to a preset balance point temperature, the current indoor temperature and an obtained outdoor temperature. The method can solve the problem that the working of a heating equipment cannot be effectively coordinated in the prior art.

This application provides an air conditioning control method, apparatus, device, and storage medium. The air conditioning control method includes: responding to an air conditioning control request for a target air conditioner; acquiring air conditioning environmental parameters corresponding to the target air conditioner, the air conditioning environmental parameters including any one or more of indoor temperature and outdoor temperature; determining an air conditioning operating scenario corresponding to the target air conditioner based on the air conditioning environmental parameters and environmental assessment parameters; generating an air conditioning control strategy for the target air conditioner based on the air conditioning operating scenario and an air conditioning control model, the air conditioning control strategy being a control strategy to improve the temperature control efficiency and / or energy saving effect of the target air conditioner; and adjusting the air conditioning operating parameters of the target air conditioner based on the air conditioning control strategy to obtain an air conditioning control result. This achieves precise control of the air conditioner under different temperature difference environments, thereby improving the temperature control efficiency and energy saving effect of the air conditioner under different temperature difference environments.

This invention provides a control method and a building with a thermal storage skylight. The control method acquires the indoor and outdoor temperatures of the main building and the temperature of the thermal storage chamber, and determines the operating mode of the building based on these temperatures. Then, it acquires a corrected seasonal factor for the building and calculates the skylight opening for each operating mode. Finally, it calculates the activation level of each operating mode based on the corrected seasonal factor, indoor temperature, outdoor temperature, and thermal storage chamber temperature. The control method then controls the thermal storage skylight to operate at the skylight opening corresponding to the mode with the highest activation level. This control method can adapt to different seasons and varying indoor and outdoor temperature conditions, fully utilizing the thermal storage, ventilation, and insulation performance of the skylight.

The utility model discloses an embodiment provides a louver with sea water loop, include: ventilation louver, be equipped with outdoor temperature sensor for detecting outdoor temperature on it;Sea water cooling coil, it is located ventilation louver in the cabin one side of in, and sea water cooling coil is equipped with pressure sensor for detecting the wind pressure of blowing into the cabin through ventilation louver on;Wherein, when the temperature detected by outdoor temperature sensor is higher than the set temperature value, and the pressure value detected by pressure sensor is greater than the first set pressure value, then sea water delivery device starts, and sea water cooling coil is supplied with sea water, to cool the air that blows through ventilation louver through sea water cooling coil, and then realize the cooling of cabin. That is, through the cooling of air inlet, realize the cooling treatment of cabin internal temperature.

The application relates to the field of air conditioning regulation technology and discloses an air conditioning unit energy-saving operation regulation control system based on meteorological fluctuation prediction, which comprises a building heat response delay module, a pipe network residual cold quantity monitoring module, a variable frequency response phase control module and a meteorological mutation forced switching module. The building heat response delay module corrects a meteorological prediction disturbance curve according to a heat response delay parameter set. The pipe network residual cold quantity monitoring module determines the transient residual cold quantity accumulated in the chilled water pipe network. The variable frequency response phase control module calculates a physical delay span according to the corrected frequency modulation instruction and the transient residual cold quantity, and adjusts the action phase of the compressor. The meteorological mutation forced switching module monitors the outdoor temperature change rate to determine whether to suspend the delay state. According to the phase compensation of the meteorological disturbance and the quantitative utilization of the pipe network thermal inertia, the time deviation between the cold quantity supply and the building heat load demand is eliminated, and the unit operation oscillation is improved.

The application provides a temperature collection method and device, a storage medium and equipment. In the method, a target temperature sensor is arranged in an air inlet channel of a vehicle air conditioner. By regularly switching a circulating air door, the purpose of simultaneously collecting an indoor temperature and an outdoor temperature by one temperature sensor is achieved. Moreover, an outdoor temperature sampling value and an indoor temperature collection value detected by the target temperature sensor are corrected to obtain a corrected outdoor temperature and a corrected indoor temperature. In this way, the accuracy of the temperature value applied to the real vehicle temperature control is not affected, and the sensor cost is effectively reduced.

The application belongs to the technical field of virtual power plants, and discloses a water system air conditioner automatic regulation and control method based on a virtual power plant, and the use steps of the method are as follows: S1, the system is an automatic method, and the air conditioner states of all users connected to the system are read; S2, the indoor and outdoor temperatures are monitored, and a water temperature relationship model is maintained; S3, an air conditioner efficiency model is established and maintained; S4, order monitoring and automatic regulation and control; S5, judgment and operation after water temperature regulation; S6, regulation and control during peak regulation; S7, multi-order processing and multi-thread operation; and S8, automatic regulation and control summary. The application provides an air conditioner automatic regulation and control method, which brings great convenience to central air conditioner order management personnel of virtual power plant transactions. Through the automatic strategy, the management personnel can focus more on business orders, and need not participate in the equipment instruction operation during peak regulation, so that the method effectively reduces human error operation and reduces the risk of poor user experience.

The present application relates to air conditioning energy saving control technical field, especially relates to a kind of constant temperature and humidity air conditioning energy saving control method and air conditioning system, method includes the following steps: S100, the temperature lower limit a and temperature upper limit b required by room are determined, and the relative humidity lower limit c and relative humidity upper limit d required, set fluctuation margin, and then obtain correction temperature lower limit A, correction temperature upper limit B, correction relative humidity lower limit C and correction relative humidity upper limit D;S200, detect outdoor temperature and relative humidity, and calculate the moisture content of outdoor air, and the data obtained according to detection and calculation are executed corresponding control logic by control cabinet;The control method of the application makes full use of the characteristics of outdoor temperature and humidity change, according to outdoor temperature and humidity condition, air conditioning valve is regulated and controlled, to minimize the opening degree of valve, the originally fixed operation mode, fixed control target temperature is optimized as dynamic control strategy mode, dynamic target control temperature, realizes energy conservation.

The utility model discloses an air separating, cooling and dehumidifying device, which belongs to the technical field of air treatment and comprises an air filter, an air cooling dehumidifier and an air compressor. The outlet end of the air filter is connected with the inlet end of the air cooling dehumidifier, and the outlet end of the air cooling dehumidifier is connected with the inlet end of the air compressor; the air cooling dehumidifier comprises an outer shell, a cooler, a baffle plate and a dehumidification filter membrane, the cooler is arranged in the outer shell, the baffle plate is arranged at one end of the cooler, and the dehumidification filter membrane is arranged at one end of the baffle plate. According to the dehumidification and cooling device, rapid dehumidification and cooling can be achieved, the dehumidification and cooling efficiency is improved, air can be rapidly dehumidified and cooled in the environment with the high air humidity and the low outdoor temperature, and it is guaranteed that the whole process can be stably operated.

This application relates to an air conditioning control method, device, air conditioning equipment, and storage medium. It involves periodically collecting indoor environmental parameters and outdoor temperature; calculating indoor heat load and indoor air quality index based on the indoor environmental parameters; determining the indoor heat load state based on the indoor heat load and a corresponding first preset value; determining the indoor air quality state based on the air quality index and a corresponding second preset value; and comparing the indoor temperature with the outdoor temperature to obtain a comparison result. Based on the indoor heat load state, indoor air quality state, and comparison result, it performs coordinated control of the air conditioner and the corresponding fresh air system. Therefore, while accurately ensuring indoor thermal comfort and air health, it minimizes energy waste caused by blindly introducing fresh air or excessive cooling in energy-saving air conditioning systems, achieving synergistic optimization of thermal comfort, air quality, and operating energy consumption.

The application discloses a heating equipment adaptive temperature regulation method, which comprises the following steps: firstly, collecting the temperatures of multiple different areas in a room to obtain indoor ambient temperature, and collecting the temperature of a preset position outdoors to obtain outdoor ambient temperature; then, determining an indoor-outdoor temperature difference value according to the indoor ambient temperature and the outdoor ambient temperature; next, determining a corresponding power output percentage according to the indoor-outdoor temperature difference value and a preset power output table; after determining the real-time output power of the heating equipment according to the rated power of the heating equipment and the power output percentage, generating and executing a temperature regulation strategy according to the real-time output power and the type of the heating equipment. The application realizes the purposes of precise temperature control and energy saving and consumption reduction of heating through multi-area temperature measurement, temperature difference-power quantization matching and adaptive adjustment combined with equipment characteristics.

This application discloses a heating adaptive control method and system based on microclimate prediction, relating to the field of heating control technology. The method includes: acquiring microclimate prediction data for a future period; acquiring a predicted stored heat sequence based on predicted solar radiation intensity and outdoor temperature sequences; acquiring a predicted energy efficiency coefficient sequence based on predicted outdoor temperature and relative humidity sequences; calculating the target heat to be supplemented by a second heating unit based on the predicted stored heat sequence; converting the target heat into an operating plan for the second heating unit in the future period; making real-time adjustments to the operating plan; and generating execution commands to control the second heating unit to provide heating. This solves the technical problem of existing technologies being unable to adjust heating strategies in advance, leading to high heating energy consumption and decreased model control performance.

The application relates to the technical field of air conditioners, and discloses a method for controlling an air conditioner, the air conditioner comprising: a casing having a first chamber and a second chamber; the first chamber is connected to the outside through an air inlet pipe and an air outlet pipe respectively, and the first chamber is also connected to the inside through a fresh air assembly; the second chamber is provided with an indoor air inlet and an indoor air outlet; a heat exchange assembly comprising an outdoor heat exchanger and an indoor heat exchanger; the outdoor heat exchanger is arranged in the first chamber, and the indoor heat exchanger is arranged in the second chamber; fresh air from the outside enters the first chamber through the air inlet pipe and exchanges heat with the outdoor heat exchanger, and the fresh air after heat exchange can enter the inside through the fresh air assembly; the method comprises the following steps: entering a fresh air mode; obtaining a first temperature difference between an outdoor temperature and a set temperature, and controlling the air conditioner to refrigerate or heat according to the first temperature difference, so that the fresh air in the first chamber approaches the set temperature and is blown into the inside from the fresh air assembly. The application also discloses a device for controlling the air conditioner and the air conditioner.

This invention discloses an air conditioning control method, device, medium, and air conditioner. By acquiring the first time a user enters the space, the current indoor and outdoor temperature data, and the target indoor temperature, and then calculating the second time, a phased control strategy is executed: "prioritizing the operation of the fresh air mode to replace the air before the second time, and switching to the temperature control mode for precise temperature adjustment between the second time and the first time." This strategy, on the one hand, effectively improves indoor air quality during the window period before the user's arrival using the fresh air mode, solving the problem of air quality deterioration; on the other hand, it accurately matches the timing of temperature control activation based on real-time environmental load, ensuring that the indoor temperature reaches the target value exactly when the user enters. This eliminates the temperature lag and insufficient comfort caused by fixed presets, and avoids energy waste caused by premature full-power operation, thus achieving a balance between improving initial air quality, ensuring immediate thermal comfort, and optimizing energy efficiency.

The application discloses a winter rural electric heating load identification method and system based on power consumption fingerprint features, and relates to the field of power system intelligent power consumption. The method comprises the following steps: acquiring total active power, indoor temperature, outdoor temperature and other multi-source data of a target user, performing event segmentation and load separation on the total active power, and extracting candidate net load events; combining the net power time sequence, the indoor and outdoor temperature sequence, constructing weighted time sequence statistical features, thermodynamic features and temperature coupling features; predicting the indoor temperature based on a building thermal physics model, and performing physical consistency screening combined with observation residuals to eliminate non-heating load events; performing clustering analysis and classification discrimination on the screened events, and outputting an electric heating load identification result. Thus, the accuracy and reliability of the electric heating load identification in the winter rural scenario are improved.

This invention discloses a real-time energy efficiency optimization control method, equipment, and device for air conditioners used in data centers, relating to the field of HVAC control technology; it includes: Step 1: establishing a neural network-based prediction model for the cooling capacity of a rack-mounted variable frequency air conditioner; Step 2: establishing a prediction model for the energy consumption of a rack-mounted variable frequency air conditioner; Step 3: constructing a Bayesian optimization-based objective function for real-time energy efficiency optimization of the rack-mounted variable frequency air conditioner; This invention, while meeting the load requirements of IT equipment within the rack, ensures that the rack-mounted air conditioning system always operates at its optimal energy efficiency point under different outdoor temperatures and IT equipment loads, effectively improving the energy efficiency and reliability of the rack-mounted variable frequency air conditioner.

The application provides a control method and device of air conditioner parameters and a photovoltaic air conditioner system. The control method is applied to the photovoltaic air conditioner system, the photovoltaic air conditioner system at least comprises a photovoltaic panel and an air conditioner, the air conditioner is at least powered by the photovoltaic panel, and the method comprises the following steps: acquiring an output power of the photovoltaic panel to obtain a photovoltaic output power; acquiring an outdoor temperature value in the case that the photovoltaic output power is greater than a first preset threshold value, wherein the first preset threshold value is a minimum power value output by the photovoltaic panel in the case that the weather condition is sunny; and increasing a reliability parameter of the air conditioner in the case that the air conditioner is in a cooling mode and the outdoor temperature value is greater than a first preset temperature value, wherein the reliability parameter is a parameter for safe operation of the air conditioner and at least comprises an exhaust temperature protection value and a protection current value. Through the application, the problem that the reliability parameter of the air conditioner in the prior art cannot be changed according to the change of the weather condition is solved.

Systems and methods for controlling a heating Technologies for controlling a heating unit are disclosed. In embodiments, the systems and methods determine a heating unit target temperature based at least in part on a duty cycle of at least one thermostat. The systems and methods may then determine a simulated outdoor temperature corresponding to the heating unit target temperature, and a resistance value corresponding to the simulated outdoor temperature. The systems and methods may then cause a resistance signal including or indicative of the resistance value to be provided to an outdoor temperature input for the heating unit, e.g., to cause the heating unit to modulate to the heating unit target temperature.

The application provides an indoor and outdoor temperature acquisition method and device, a storage medium and equipment. In the method, a target temperature sensor is arranged in an air inlet channel of a vehicle air conditioner, a circulating air door of the vehicle air conditioner is controlled to reciprocate in a circulating proportion range corresponding to a user-set air conditioner circulating mode, so as to obtain temperature sampling values of the target temperature sensor under different circulating proportions. Then, indoor temperature inlet air proportion and outdoor temperature inlet air proportion are determined based on the circulating proportion, and the indoor temperature and the outdoor temperature are calculated according to the indoor temperature inlet air proportion, the outdoor temperature inlet air proportion and the temperature sampling values. In this way, the indoor temperature and the outdoor temperature are simultaneously acquired based on a single temperature sensor, the indoor and outdoor temperature values for vehicle temperature control are accurately acquired, and the sensor cost is effectively reduced.

Various ways to control the ambient temperature of a room in a structure are described. In one embodiment, a method for intelligently controlling an ambient room temperature in a structure is described, comprising receiving a future outdoor temperature forecast related to a geographic area where the structure is located, and altering a temperature profile for controlling the ambient room temperature based on the future outdoor temperature forecast.

This invention discloses a total heat exchange core and a fresh air unit, comprising multiple air inlet channels arranged in one direction and multiple air outlet channels arranged in another direction. The airflow directions of the air inlet channels and the air outlet channels intersect, and a water-permeable membrane separates the air inlet channels and the ventilation volume of the air inlet channels decreases sequentially along the exhaust direction. This invention, by sequentially decreasing the ventilation volume of the air inlet channels along the exhaust direction, increases the ventilation flow of the air inlet channels in contact with the air inlets of the exhaust channels and decreases the ventilation flow of the air inlet channels in contact with the air outlets of the exhaust channels. This results in a larger ventilation flow for channels with high heat exchange capacity, and different flow rates for air inlet channels at different locations, thus matching the flow rate with the heat exchange capacity, improving heat exchange efficiency, and preventing condensation and frost formation at the air outlet side of the exhaust channels when the outdoor temperature is low.

The present application belongs to the technical field of poultry house temperature prediction, and specifically discloses a poultry house temperature prediction method and system. The present application first constructs a multi-factor coupled high-density feature system, breaking through the limitation of traditional single feature input. Secondly, a time series prediction model integrating attention mechanism and environmental self-adaptive mechanism is designed. Through the feature attention layer, the key factors are dynamically weighted, solving the problem of the contribution degree of multiple source factors changing over time. By using TCN inflation convolution to efficiently extract local fluctuations, and by using the LSTM gating mechanism to capture long-time dependence, the deep mining of the evolution law of complex thermal environment is realized. In addition, the present application proposes an outdoor temperature driven environmental self-adaptive mechanism, taking the outdoor temperature change rate as the trigger signal of environmental sudden change, and dynamically fusing multi-scale receptive fields through the gating network, solving the prediction lag problem of traditional fixed window model at key moments such as sunset and cold wave.

The application discloses a kind of based on the adjustment method of heating system water temperature of weighting disturbance, consider the attenuation and delay characteristics of each thermal disturbance to room temperature influence under the action of building thermal inertia, with the weighted form of outdoor temperature and heating system water temperature reflect each thermal disturbance to current room temperature influence of current and previous historical time.Based on the linear characteristics of room as heat system, by the interrelation of each thermal disturbance to room temperature influence, a new quality regulation mode of heating system is constructed.The application is suitable for the case that indoor and outdoor ventilation is relatively small in winter in residential room, the constructed regulation mode based on weighting disturbance can significantly reduce the water temperature of heating system, realize low-temperature operation of heating system;At the same time, room heating temperature can be controlled within a reasonable range, effectively avoid the problem of excessive heating.From the two aspects of energy grade and energy consumption quantity, the energy utilization efficiency of heating system can be significantly improved, and the operation energy consumption is reduced.

A method and system for forecasting and optimizing the performance of earth tube air exchange systems using machine learning algorithms. The invention receives measured exit air temperature data across various annual periods and outdoor temperature ranges, determines predicted temperature differences across the earth tube, and provides these predictions to HVAC design or operation modules. The system refines its forecasts over time based on actual outcomes, generates alerts or recommendations when performance deviates from thresholds, and stores both forecasted and actual data for long-term analysis and optimization. This approach enables improved accuracy in system design, operation, and maintenance, resulting in enhanced energy efficiency and reliability.