Air conditioning system and method for energy-saving air conditioner

Abstract

According to the air conditioning system and method for the energy-saving air conditioner, the dynamic coupling relation between the airflow speed and the temperature in all the areas is determined by monitoring the temperature and the airflow speed of all the areas when the energy-saving air conditioner runs; the equivalent energy consumption variable quantity generated by the energy-saving air conditioner in each area is determined according to the temperature change characteristics and the airflow speed change characteristics of each area; according to the dynamic coupling relation between the airflow speed and the temperature in each area and the equivalent energy consumption variable quantity generated by the energy-saving air conditioner in each area, the local energy efficiency deviation between the indoor areas is determined; and then the tail end air volume distribution parameters of the energy-saving air conditioner for all the air conditioner air outlets are determined, and then the air conditioner air outlets of the energy-saving air conditioner are adjusted according to all the tail end air volume distribution parameters. By the adoption of the scheme, the energy-saving air conditioner can be dynamically adjusted based on the energy efficiency difference between the indoor areas.

Description

Technical Field

[0001] The present application relates to the field of air conditioning technology, and more specifically, to an air conditioning system and method for energy-saving air conditioning. Background Art

[0002] Air conditioning refers to the regulation and control of air parameters (such as temperature, humidity, cleanliness, air flow velocity, etc.) in a specific space through technical means to meet the requirements of human comfort, production processes or equipment operation. It is one of the core technologies of modern building environment regulation.

[0003] Traditional air-conditioning systems typically use the average temperature of the entire indoor space or a few fixed monitoring points as the regulation target. They lack the refined perception and control of the microenvironments of different indoor areas (especially the dynamic coupling relationship between airflow velocity and temperature). This makes it difficult for the air conditioner to accurately match the actual needs of each area. Local overcooling, overheating, or uneven airflow distribution often occur, resulting in unnecessary energy waste (for example, overall lowering of temperature or increasing air volume to compensate for local discomfort). Although existing zoning control technology can identify regional temperature differences, it fails to fully integrate the dynamic changes in airflow velocity, energy efficiency differences between regions, and the energy consumption status of the air conditioner itself for comprehensive analysis and optimization, limiting the in-depth exploration of energy-saving potential. Therefore, how to dynamically adjust energy-saving air conditioners based on energy efficiency differences between indoor areas has become a problem facing the industry. Summary of the Invention

[0004] The present application provides an air conditioning system and method for energy-saving air conditioning, which can dynamically adjust the energy-saving air conditioning based on energy efficiency differences between indoor areas.

[0005] In a first aspect, the present application provides an air conditioning method for an energy-saving air conditioner, wherein a room equipped with an energy-saving air conditioner is divided into multiple zones based on the airflow coverage and position of the air outlet of the air conditioner, wherein the energy-saving air conditioner is a central air conditioner, and the method comprises the following steps: Monitor the temperature and airflow speed in each area when energy-saving air conditioners are running; Determine the dynamic coupling relationship between airflow velocity and temperature in each area based on all monitored temperatures and all airflow velocities, perform an equivalent analysis of the energy consumption conversion of the energy-saving air conditioner in the corresponding area based on the temperature change characteristics and airflow velocity change characteristics of each area in combination with the energy consumption state of the energy-saving air conditioner, and obtain the equivalent energy consumption change generated by the energy-saving air conditioner in each area; The energy efficiency loss of the room equipped with the energy-saving air conditioner is evaluated based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area, thereby obtaining the local energy efficiency deviation between the various areas in the room; Based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air-conditioning outlet, the terminal air volume distribution parameters of the energy-saving air conditioner for each air-conditioning outlet are determined, and then the air-conditioning outlet of the energy-saving air conditioner is adjusted by all the terminal air volume distribution parameters.

[0006] In some embodiments, determining the dynamic coupling relationship between the airflow velocity and the temperature in each area based on all monitored temperatures and all monitored airflow velocities specifically includes: Select an area as a selected area, and determine the correlation between the airflow velocity and the temperature in the selected area based on all temperatures and all airflow velocities monitored in the selected area; determining a time lag characteristic between airflow changes and temperature changes in the selected area based on the correlation; The dynamic coupling relationship between the airflow velocity and the temperature in the selected area is determined by the time lag characteristics.

[0007] Continue to determine the dynamic coupling relationship between airflow velocity and temperature in the remaining areas.

[0008] In some embodiments, the energy consumption conversion of the energy-saving air conditioner in the corresponding area is analyzed by combining the temperature change characteristics and air flow velocity change characteristics of each area with the energy consumption state of the energy-saving air conditioner. The equivalent energy consumption change generated by the energy-saving air conditioner in each area is obtained, specifically including: Obtaining the energy consumption status of the energy-saving air conditioner; Determine the temperature change characteristics and airflow velocity change characteristics of each area; Determining a temperature contribution characteristic of temperature to energy consumption according to the energy consumption state and the temperature change characteristics of each area; Determining airflow contribution characteristics of airflow velocity to energy consumption according to the energy consumption state and the airflow velocity change characteristics of each area; The equivalent energy consumption change generated by the energy-saving air conditioner in each area is determined based on the temperature contribution characteristics and the airflow contribution characteristics.

[0009] In some embodiments, the energy efficiency loss of a room equipped with an energy-saving air conditioner is evaluated based on the dynamic coupling relationship between the airflow velocity and temperature in each zone and the change in equivalent energy consumption generated by the energy-saving air conditioner in each zone. The local energy efficiency deviation between the zones in the room is obtained, specifically including: Determine the energy efficiency loss area of ​​each indoor area equipped with the energy-saving air conditioner based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area; Select two regions as the selected two regions, and determine the energy efficiency distribution difference between the selected two regions through the energy efficiency loss regions corresponding to the selected two regions; determining a local energy efficiency deviation between two selected areas based on the energy efficiency distribution difference; Continue to determine the local energy efficiency deviations between the remaining areas of the room.

[0010] In some embodiments, determining the terminal air volume distribution parameters of the energy-saving air conditioner for each air outlet based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations in combination with the air outlet parameter adjustment range of each air outlet specifically includes: Determining the spatial location distribution of each indoor area equipped with the energy-saving air conditioner; Get the air outlet parameter adjustment range of each air conditioner outlet; Determining an optimization target for each air-conditioning outlet based on the spatial location distribution of each area and all local energy efficiency deviations; The terminal air volume distribution parameters of the energy-saving air conditioner to the corresponding air outlet are determined according to the air outlet parameter adjustment range of each air outlet and the optimization target.

[0011] In some embodiments, a spatial coordinate modeling method is used to obtain the spatial position distribution of each indoor area equipped with the energy-saving air conditioner.

[0012] In some embodiments, the temperature and airflow speed of each area when the energy-saving air conditioner is running are monitored by an integrated sensor node.

[0013] In a second aspect, the present application provides an air conditioning system for energy-saving air conditioning, comprising: Monitoring module, used to monitor the temperature and air flow speed of each area when the energy-saving air conditioner is running; a processing module for determining a dynamic coupling relationship between airflow velocity and temperature in each zone based on all monitored temperatures and all monitored airflow velocities, performing an equivalent analysis of energy consumption conversion of the energy-saving air conditioner in the corresponding zone based on the temperature change characteristics and airflow velocity change characteristics of each zone in combination with the energy consumption state of the energy-saving air conditioner, and obtaining an equivalent energy consumption change generated by the energy-saving air conditioner in each zone; The processing module is further configured to evaluate the energy efficiency loss of the room equipped with the energy-saving air conditioner based on the dynamic coupling relationship between the airflow velocity and temperature in each area and the change in equivalent energy consumption generated by the energy-saving air conditioner in each area, thereby obtaining a local energy efficiency deviation between the various areas in the room; An execution module is used to determine the terminal air volume distribution parameters of the energy-saving air conditioner for each air outlet based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air outlet, and then adjust the air outlet of the energy-saving air conditioner according to all the terminal air volume distribution parameters.

[0014] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned air conditioning method for energy-saving air conditioning.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which implements the above-mentioned air conditioning method for energy-saving air conditioning when executed by a processor.

[0016] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: In the air conditioning system and method for energy-saving air conditioning provided in the present application, the temperature and air flow velocity of each area when the energy-saving air conditioning is in operation are first monitored; the dynamic coupling relationship between the air flow velocity and temperature in each area is determined based on all the monitored temperatures and all the air flow velocities; the energy consumption conversion of the energy-saving air conditioning in the corresponding area is equivalently analyzed by combining the temperature change characteristics and air flow velocity change characteristics of each area with the energy consumption state of the energy-saving air conditioning, and the equivalent energy consumption change generated by the energy-saving air conditioning in each area is obtained; the energy efficiency loss of the room equipped with the energy-saving air conditioning is evaluated based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioning in each area, and the local energy efficiency deviations between the various areas in the room are obtained; based on the spatial position distribution of the various areas in the room equipped with the energy-saving air conditioning and all the local energy efficiency deviations, combined with the air outlet parameter adjustment range of each air outlet, the terminal air volume distribution parameters of the energy-saving air conditioning for each air outlet are determined, and then the air outlet of the energy-saving air conditioning is adjusted by all the terminal air volume distribution parameters.

[0017] It can be seen that in the air conditioning process of the energy-saving air conditioner, the present application first monitors the temperature and air flow velocity of each area when the energy-saving air conditioner is running, which provides a real-time environmental data basis, enables the system to perceive the dynamic changes of each area, and lays the foundation for subsequent analysis of regional differences, thereby supporting more accurate adjustment decisions; secondly, the dynamic coupling relationship between air flow velocity and temperature is determined based on the monitoring data, and the heat load equivalent analysis is performed in combination with the energy consumption status to obtain the equivalent energy consumption change, which facilitates the quantification of the heat load impact and energy efficiency of each area, and identifies inefficient hot spots or cold spots, which is used to evaluate energy efficiency. The system then evaluates energy efficiency losses based on the dynamic coupling relationship and the change in equivalent energy consumption, obtaining local energy efficiency deviations. This directly addresses technical issues, assessing the energy efficiency differences and loss levels between regions, allowing the system to clearly identify which areas require priority optimization, thereby improving the pertinence and fairness of adjustments. Finally, based on spatial location distribution, local energy efficiency deviations, and the range of air outlet parameters, terminal air volume distribution parameters are determined and the air outlet is adjusted. This achieves dynamic air volume distribution, compensating for energy efficiency deviations by optimizing airflow coverage, reducing overall energy waste, and thus improving the comprehensive energy-saving effect of the air-conditioning system. The above solution allows dynamic adjustment of energy-saving air conditioners based on energy efficiency differences between indoor areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is an exemplary flow chart of an air conditioning method for energy-saving air conditioning according to some embodiments of the present application; Figure 2 is an exemplary flow chart for determining a dynamic coupling relationship according to some embodiments of the present application; Figure 3 is an exemplary flow chart for determining terminal air volume distribution parameters according to some embodiments of the present application; Figure 4 is a schematic structural diagram of an air conditioning system for energy-saving air conditioning according to some embodiments of the present application; Figure 5 It is a structural diagram of a computer device for implementing an air conditioning method for energy-saving air conditioning according to some embodiments of the present application. DETAILED DESCRIPTION

[0019] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] refer to Figure 1 , which is an exemplary flow chart of an air conditioning method for energy-saving air conditioning according to some embodiments of the present application. The air conditioning method for energy-saving air conditioning mainly includes the following steps: In some embodiments, dividing a room equipped with an energy-saving air conditioner into multiple zones based on the airflow coverage and location of the air conditioner outlet can be achieved in the following manner: first, computational fluid dynamics is used to simulate the airflow field at a typical outlet angle (e.g., the default angle of 30° downward and 0° left and right) to determine the effective coverage range with a wind speed ≥ 0.5 m / s (e.g., a conical area 1-5 meters from the outlet and 0-4 meters horizontally); simultaneously, based on the indoor functional layout (e.g., the sofa area, activity area, and dining area in the living room) and the distribution of obstacles (e.g., furniture and partitions), the coverage range is divided into 3-5 non-uniform zones, for example: Zone A (a high wind speed zone 1-2 meters near the outlet), Zone B (a medium wind speed zone 2-3 meters in the center), and Zone C (a low wind speed zone 3-5 meters at the edge). Temperature, humidity, and wind speed sensors are deployed at the center of each zone, and zone boundaries are determined based on the wind speed gradient (e.g., 0.5-1 m / s is the A-B boundary) and functional consistency to ensure that the zoning conforms to both the physical characteristics of the airflow and the needs of space usage.

[0021] In step 101, the temperature and air flow velocity of each area when the energy-saving air conditioner is in operation are monitored.

[0022] In specific implementation, an integrated sensor node (size 5cm×5cm×3cm) is deployed at the center of each area, including a high-precision digital temperature sensor (range -20℃~60℃, accuracy ±0.1℃), a hot wire anemometer (range 0~10m / s, response time <0.5 seconds) and a temperature and humidity compensation module; the deployed integrated sensor node monitors the temperature and airflow velocity of each area when the energy-saving air conditioner is running, where the temperature represents the temperature of the area when the energy-saving air conditioner is running, and the airflow velocity represents the velocity of the airflow from the air outlet of the air conditioner to the area; in other embodiments, other monitoring methods can also be used, which are not limited here.

[0023] It should be noted that the sampling frequency of the integrated sensor is set to 1 Hz (configurable) to capture dynamic changes. The self-organizing network topology automatically relays data through adjacent nodes when the signal at a certain node is weak, ensuring data integrity of more than 99%. To eliminate measurement errors, each sensor is calibrated in a wind tunnel before deployment (wind speed calibration points: 0.5 m / s, 2 m / s, 5 m / s; temperature calibration points: 20°C, 26°C, 32°C). Due to various interference factors during the monitoring process (such as the environmental level and the air conditioner itself), outliers are eliminated during runtime through sliding window filtering (window size 5 seconds). The processed data is finally stored in a ring buffer (capacity 10,000 records) for subsequent analysis.

[0024] In step 102, the dynamic coupling relationship between the airflow velocity and the temperature in each area is determined based on all monitored temperatures and all airflow velocities. The energy consumption conversion of the energy-saving air conditioner in the corresponding area is analyzed equivalently by combining the temperature change characteristics and airflow velocity change characteristics of each area with the energy consumption status of the energy-saving air conditioner to obtain the equivalent energy consumption change generated by the energy-saving air conditioner in each area.

[0025] In some embodiments, reference Figure 2 As shown in FIG. 1 , this figure is an exemplary flow chart for determining a dynamic coupling relationship in some embodiments of the present application. In this embodiment, determining the dynamic coupling relationship between the airflow velocity and temperature in each area based on all monitored temperatures and all monitored airflow velocities can be achieved by using the following steps: First, in step 1021, a region is selected as a selected region, and the correlation between the airflow velocity and the temperature in the selected region is determined based on all temperatures and all airflow velocities monitored in the selected region; Next, in step 1022, a time lag characteristic between airflow change and temperature change in the selected area is determined based on the correlation; Then, in step 1023, the dynamic coupling relationship between the airflow velocity and the temperature in the selected area is determined by using the time lag characteristics.

[0026] Finally, in step 1024 , the dynamic coupling relationship between the airflow velocity and the temperature in the remaining areas is determined.

[0027] In specific implementation, the correlation between the airflow velocity and the temperature in the selected area can be determined based on all temperatures and all airflow velocities monitored in the selected area. This can be achieved in the following manner: all temperatures and all airflow velocities monitored in the selected area are arranged in chronological order of monitoring time to obtain a temperature sequence and an airflow velocity sequence, and a cross-correlation analysis method is used to combine the temperature sequence and the airflow velocity sequence to calculate the correlation between the airflow velocity and the temperature. For example, a positive correlation indicates that the temperature rises when the airflow velocity increases, wherein the correlation indicates the relationship between the correlation between the airflow velocity and the temperature. In other embodiments, other methods may also be used for determination, which are not limited here.

[0028] In specific implementation, the time lag feature between the airflow change and the temperature change in the selected area is determined based on the correlation relationship, which can be achieved in the following manner, namely: based on the correlation relationship, the cross-correlation function between the temperature sequence and the delayed airflow velocity sequence is calculated to identify the time lag feature. Specifically, the airflow velocity sequence is delayed by different time steps in sequence, and the cross-correlation analysis method is used in combination with the correlation relationship to calculate the cross-correlation coefficient of the delayed airflow velocity sequence and the temperature sequence. The delay time corresponding to the maximum value of the cross-correlation coefficient is the time lag feature between the airflow change and the temperature change. The time lag feature represents the feature of the time lag between the airflow change and the temperature change in the area. In order to reduce noise interference, the original data can be smoothed, and the confidence interval of the time lag can be estimated by the bootstrap method to verify the stability of the time lag feature. In other embodiments, other methods can also be used for determination, which are not limited here.

[0029] In specific implementation, the dynamic coupling relationship between the airflow velocity and the temperature in the selected area is determined by the time-lag characteristics in the following manner, namely: constructing a vector autoregressive model based on the identified time-lag characteristics, directly converting the time-lag value into the delay order of the model, thereby determining the specific variable combination including the temperature series and the delayed airflow velocity series; after using the least squares method to estimate the parameters of the vector autoregressive model, the advantages and disadvantages of different delay order models are evaluated by the Bayesian information criterion, and the optimal delay order obtained by optimization is fed back to correct the initial vector autoregressive model structure; converting the optimized vector autoregressive model parameters into the state transfer matrix and input matrix of the state space model, so that the time-lag relationship is implicitly embedded in the state equation, and then the model parameters are updated using real-time data through Kalman filtering. , capturing the time-varying characteristics of the system; utilizing the characteristics of the delayed airflow velocity variable already included in the state-space model, directly constructing the regression equation of the Granger causality test to verify the causality of the airflow velocity on the temperature. If the test passes, the physical meaning of the model variable relationship is confirmed; based on the causally verified state-space model, applying a standard deviation shock to the airflow velocity variable to quantify the dynamic response trajectory of the temperature variable through the impulse response function, and further calculating the contribution ratio of the airflow velocity change to the temperature fluctuation through variance decomposition, and taking the combination of the causality of the airflow velocity on the temperature, the dynamic response trajectory of the temperature variable and the contribution ratio of the airflow velocity change to the temperature fluctuation as the dynamic coupling relationship between the airflow velocity and the temperature in the region; in other embodiments, other methods can also be used for determination, which is not limited here.

[0030] It should be noted that the dynamic coupling relationship in this application represents the interaction mechanism between indoor air flow velocity and temperature that changes over time, which can be used to reflect the mutual influence of air flow and heat transfer processes, and this relationship will change dynamically with the system operating status and environmental conditions.

[0031] In some embodiments, the energy consumption conversion of the energy-saving air conditioner in the corresponding area is analyzed by combining the temperature change characteristics and air flow velocity change characteristics of each area with the energy consumption state of the energy-saving air conditioner. The equivalent energy consumption change generated by the energy-saving air conditioner in each area can be obtained by the following steps: Obtaining the energy consumption status of the energy-saving air conditioner; Determine the temperature change characteristics and airflow velocity change characteristics of each area; Determining a temperature contribution characteristic of temperature to energy consumption according to the energy consumption state and the temperature change characteristics of each area; Determining airflow contribution characteristics of airflow velocity to energy consumption according to the energy consumption state and the airflow velocity change characteristics of each area; The equivalent energy consumption change generated by the energy-saving air conditioner in each area is determined based on the temperature contribution characteristics and the airflow contribution characteristics.

[0032] It should be noted that air conditioning energy consumption affects regional temperature by regulating air flow velocity, and the changing characteristics of temperature and air flow velocity can indirectly reflect the effect of energy consumption in the region. Equivalent analysis is to unify the energy consumption performance caused by environmental differences in different regions to the same benchmark and quantify it by establishing a correlation model among the three, and then determine the equivalent energy consumption change in each region.

[0033] In specific implementation, when obtaining the energy consumption status of the energy-saving air conditioner, it is necessary to collect the real-time operation data of the energy-saving air conditioner through the built-in energy consumption monitoring module of the air conditioner, and use the real-time operation data as the energy consumption status of the energy-saving air conditioner, wherein the energy consumption status includes the active power per unit time, the cumulative power consumption, the compressor operating frequency, the fan speed, the current operating mode (cooling / heating / air supply) and the set temperature core parameters, and record the timestamp corresponding to each parameter to ensure synchronization with the time dimension of the subsequent temperature and air flow speed monitoring data; in other embodiments, other methods can also be used to obtain it, which is not limited here.

[0034] In specific implementation, the temperature change characteristics and airflow velocity change characteristics of each area can be determined in the following manner, namely: preprocessing the time series data of temperature and airflow velocity collected by sensors in each area (such as removing outliers and smoothing filtering), and then calculating the temperature change characteristics and airflow velocity change characteristics through a sliding window method (the window duration is set to 10-15 minutes, and the step length is 5 minutes). Among them, the temperature change characteristics include the average temperature in each window, the temperature standard deviation (reflecting the fluctuation amplitude), the temperature change rate (the ratio of the temperature difference between the beginning and the end of the window to the duration), and the cumulative deviation of the temperature from the set value. The airflow velocity change characteristics include the average wind speed in each window, the wind speed fluctuation coefficient (the ratio of the standard deviation to the mean), the frequency of wind speed peak occurrence, and the wind speed gradient (the difference in wind speed between adjacent areas), so as to comprehensively characterize the dynamic change law of temperature and airflow; in other embodiments, other methods can also be used for determination, which are not limited here.

[0035] In specific implementation, the temperature contribution characteristics of temperature to energy consumption can be determined based on the energy consumption state and the temperature change characteristics of each area in the following manner, namely: the air-conditioning energy consumption per unit time (such as instantaneous power) is used as the dependent variable, and the temperature change characteristics of each area (such as temperature difference, temperature change rate, cumulative deviation) are used as independent variables, while controlling the air flow speed and operation mode, and fitting the regression model by the least squares method to obtain the regression coefficient corresponding to each temperature change characteristic (that is, the marginal influence intensity of temperature on energy consumption), and finally all the obtained regression coefficients are used as the temperature contribution characteristics of temperature to energy consumption, wherein the temperature contribution characteristics represent the degree of influence of different temperature change modes on energy consumption; in other embodiments, other methods can also be used for determination, which are not limited here.

[0036] In specific implementation, the airflow contribution characteristics of the airflow velocity to energy consumption can be determined based on the energy consumption state and the airflow velocity change characteristics of the various areas in the following manner, namely: keep the temperature change characteristics and the operating mode variables constant, take energy consumption as the dependent variable, and use the least squares method to fit the regression model with the airflow velocity change characteristics of each area (such as average wind speed, wind speed fluctuation coefficient, wind speed gradient) as independent variables to perform regression analysis to obtain the influence coefficient of each airflow change characteristic on energy consumption; at the same time, the influence coefficient is corrected in combination with the heat exchange principle (such as increasing wind speed promotes heat transfer, which may reduce the temperature difference during cooling and thus reduce energy consumption, and it is necessary to distinguish between positive / negative contributions), and all the influence coefficients are used as the airflow contribution characteristics of the airflow velocity to energy consumption, wherein the airflow contribution characteristics represent the characteristics of the influence law of different airflow states on energy consumption; in other embodiments, other methods can also be used for determination, which are not limited here.

[0037] In specific implementation, the equivalent energy consumption change generated by the energy-saving air conditioner in each area can be determined by the temperature contribution characteristics and the air flow contribution characteristics in the following manner, namely: first, a reference state setting method is used to determine the reference energy consumption state based on the air conditioner design parameters and the average energy consumption in the historical operation data during the period with the lowest energy consumption and stable environment, to ensure that this state can represent the energy consumption benchmark under ideal operation; then, the feature mapping and deviation calculation method is used to substitute the actual temperature change characteristics of each area after preprocessing into the quantitative model of the temperature contribution characteristics (such as a multivariate linear regression equation, in which the independent variable is the temperature characteristic and the dependent variable is the energy consumption deviation coefficient), and simultaneously substitute the actual air flow velocity change characteristics into the quantitative model of the air flow contribution characteristics (the same type of regression equation, in which the independent variable is the air flow characteristic). The energy consumption deviation value caused by the temperature factor in each area (the part of the difference between the actual energy consumption and the benchmark energy consumption caused by temperature change) and the energy consumption deviation value caused by the airflow factor are calculated respectively; then the weighted sum of the two energy consumption deviation values ​​in each area is weighted by the weighted method, and the ratio of the absolute values ​​of the two is calculated based on the respective regression coefficients in the temperature contribution feature and the airflow contribution feature quantification model (reflecting the influence intensity of the variable on energy consumption) (the absolute value of the temperature coefficient ÷ (the absolute value of the temperature coefficient + the absolute value of the airflow coefficient) is the temperature weight, and vice versa), and the value obtained by the weighted sum is used as the equivalent energy consumption change of the corresponding area, thereby obtaining the equivalent energy consumption change generated by the energy-saving air conditioner in each area; in other embodiments, other methods can also be used for determination, which are not limited here.

[0038] It should be noted that the effective energy consumption change in this application represents the difference between the actual energy consumption and the ideal state caused by the dynamic changes in temperature and airflow in the area, and can be used to analyze the optimization and control of energy-saving air conditioners.

[0039] In step 103, the energy efficiency loss of the indoor room equipped with the energy-saving air conditioner is evaluated based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area, and the local energy efficiency deviation between the various areas in the room is obtained.

[0040] In some embodiments, based on the dynamic coupling relationship between airflow velocity and temperature in each zone and the change in equivalent energy consumption generated by the energy-saving air conditioner in each zone, energy efficiency loss is evaluated for the room equipped with the energy-saving air conditioner. The local energy efficiency deviation between the zones in the room can be obtained by the following steps: Determine the energy efficiency loss area of ​​each indoor area equipped with the energy-saving air conditioner based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area; Select two regions as the selected two regions, and determine the energy efficiency distribution difference between the selected two regions through the energy efficiency loss regions corresponding to the selected two regions; determining a local energy efficiency deviation between two selected areas based on the energy efficiency distribution difference; Continue to determine the local energy efficiency deviations between the remaining areas of the room.

[0041] In specific implementation, the energy efficiency loss areas of each indoor area equipped with energy-saving air conditioners are determined according to the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area. This can be achieved in the following way, namely: the energy efficiency loss areas of each indoor area equipped with energy-saving air conditioners are judged by using the coupling-energy consumption dual-factor threshold method, that is, first extracting key parameters (such as temperature-airflow time lag deviation rate, coupling strength index) based on the dynamic coupling relationship, combining the ratio of the equivalent energy consumption change to the benchmark energy consumption (i.e., energy consumption exceeding standard rate), and setting thresholds for the two respectively (such as time lag deviation rate>20%, coupling strength index>10%). A degree index of less than 0.6 is considered a coupling anomaly, and an energy consumption exceeding standard rate of more than 15% is considered an energy consumption anomaly); then, through logical AND operations, areas that meet both coupling anomalies and energy consumption anomalies are screened out. If only a single indicator in a certain area is abnormal, a secondary judgment is performed based on spatial correlation (such as being adjacent to an identified loss area and sharing an airflow path), and finally an energy efficiency loss area is delineated. The energy efficiency loss area refers to an area in an indoor space equipped with an energy-saving air conditioner where the dynamic coupling relationship between airflow and temperature is abnormal due to a mismatch between the operating parameters of the air-conditioning system and the actual needs of the area. In other embodiments, other methods can also be used for determination, which are not limited here.

[0042] In specific implementation, the energy efficiency distribution difference between the selected two areas can be determined by selecting the energy efficiency loss areas corresponding to the two areas. This can be achieved in the following way, namely: determining the energy efficiency distribution difference between the selected two areas by using the distribution feature quantification method, namely: using the kernel density estimation method to fit the distribution curves of the equivalent energy consumption change and the dynamic coupling relationship of the two selected areas respectively; then using the Kolmogorov-Smirnov test to judge the difference in the shape of each distribution curve (the significance level is set to 0.05), and at the same time calculating the difference in the values ​​on the distribution curve (mean difference, standard deviation ratio, 90th percentile deviation): the mean difference is the equivalent energy consumption of the two areas The absolute difference of the means is divided by the maximum value of the two means (to avoid scale deviation), the standard deviation ratio is the larger value of the standard deviation of the equivalent energy consumption of the two areas divided by the smaller value (reflecting the difference in dispersion), and the 90th percentile deviation is the absolute difference of the 90th percentile values ​​of the equivalent energy consumption of the two areas divided by the benchmark energy consumption (theoretical energy consumption at the set temperature). The above-mentioned morphological difference and the difference in the values ​​on the distribution curve are used as the energy efficiency distribution difference between the two selected areas, where the energy efficiency distribution difference represents the difference in the overall distribution state of the energy efficiency-related characteristics of the two selected areas in the room under the same time conditions. In other embodiments, other methods can also be used for determination, which are not limited here.

[0043] In a specific implementation, determining the local energy efficiency deviation between the two selected areas based on the energy efficiency distribution difference can be achieved in the following manner, namely: using a difference-deviation mapping method to determine the local energy efficiency deviation between the two selected areas, that is, converting the energy efficiency distribution difference into a basic deviation through normalization processing (mapping to the 0-1 interval) through a normalization method, and then introducing a spatial attenuation coefficient through an exponential decay model (calculated based on the ratio of the straight-line distance between the two areas to the diagonal length of the room, the longer the distance, the smaller the attenuation coefficient), and combining the airflow connectivity of the two areas to correct the basic deviation, and using the corrected basic deviation as the local energy efficiency deviation between the two selected areas (range -1 to 1, positive value indicates that the energy efficiency of area A is better than that of area B, and negative value is vice versa); in other embodiments, other methods can also be used for determination, which are not limited here.

[0044] It should be noted that the local energy efficiency deviation in this application indicates the degree of deviation between the actual energy efficiency performance in the area and the reference benchmark. It can be used to intuitively reflect the energy efficiency shortcomings of the local area (such as abnormal energy consumption caused by equipment aging, airflow short circuit, etc.), and can also provide a basis for targeted optimization. For example, by locating areas with significant local energy efficiency deviations, the air conditioning wind speed and temperature control threshold in the area can be accurately adjusted, or equipment failures can be checked, thereby achieving a balanced improvement in spatial energy efficiency.

[0045] In step 104, based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air-conditioning outlet, the terminal air volume distribution parameters of the energy-saving air conditioner for each air-conditioning outlet are determined, and then the air-conditioning outlet of the energy-saving air conditioner is adjusted by all the terminal air volume distribution parameters.

[0046] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart for determining terminal air volume distribution parameters in some embodiments of the present application. In this embodiment, based on the spatial location distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations, combined with the air outlet parameter adjustment range of each air outlet, the terminal air volume distribution parameters of the energy-saving air conditioner for each air outlet can be determined by the following steps: First, in step 1041, the spatial location distribution of each indoor area equipped with the energy-saving air conditioner is determined; Next, in step 1042, the air outlet parameter adjustment range of each air-conditioning outlet is obtained; Then, in step 1043, the optimization target of each air-conditioning outlet is determined based on the spatial position distribution of each area and all local energy efficiency deviations; Finally, in step 1044, the terminal air volume distribution parameters of the energy-saving air conditioner to the corresponding air outlets are determined according to the air outlet parameter adjustment range of each air outlet and the optimization target.

[0047] In a specific implementation, determining the spatial position distribution of each indoor area equipped with the energy-saving air conditioner can be achieved in the following manner, namely, using a spatial coordinate modeling method: establishing a three-dimensional rectangular coordinate system with the midpoint of the wall where the air conditioner outlet is located as the origin (the X-axis is horizontal, the Y-axis is perpendicular to the ground and upward, and the Z-axis is perpendicular to the wall and points indoors), using a laser rangefinder combined with a drawing tool to measure the physical boundaries of each area (such as the coordinates of the four corner vertices of the area), abstracting each area into a polygonal spatial unit, and recording the coordinates of the unit center point, area, and straight-line distance from each air outlet; at the same time, annotating the functional attributes of the area (such as areas with dense human activity and equipment heat dissipation areas) and the distribution of obstacles (such as furniture obstruction locations) to form a regional position distribution that includes spatial geometric parameters and environmental characteristics, and using this regional position distribution as the spatial position distribution of each indoor area equipped with the energy-saving air conditioner. The spatial position distribution represents the spatial position distribution of each area in the room, providing a spatial reference for subsequent airflow coverage analysis. In other embodiments, other methods can also be used for determination, which are not limited here.

[0048] Among them, when obtaining the air outlet parameter adjustment range of each air-conditioning outlet from the database corresponding to the energy-saving air conditioner, the air outlet parameter adjustment range includes the air volume adjustment range (such as 80-300m³ / h), the air outlet angle adjustable range (such as horizontal 0-90°, vertical -30° to 60°), and the wind speed gear level (such as 1-5 gears, corresponding to a wind speed of 0.5-3.0m / s); in other embodiments, other methods can also be used to obtain it, which is not limited here.

[0049] In specific implementation, when determining the optimization target of each air-conditioning outlet according to the spatial position distribution of each area and all local energy efficiency deviations, the spatial-energy efficiency weighted fusion method is adopted: that is, the spatial attenuation weight is calculated based on the distance between the regional center point and the outlet (the closer the distance, the higher the weight, quantified by the function relationship of 1 / (distance+1)), and the energy efficiency correction weight is determined by combining the absolute value of the local energy efficiency deviation (the larger the deviation, the higher the weight, mapped to the range of 0.3-1.0 through maximum-minimum value standardization); the two are weighted and multiplied (the spatial weight accounts for 60%, the energy efficiency weight accounts for 40%) to obtain the priority coefficient of each area for the corresponding air-conditioning outlet, and then the optimization target is defined as " Within the coverage area, the absolute value of the local energy efficiency deviation in the high-priority area is reduced to within 0.1, and the average deviation of the entire area is reduced by 30% compared to the current value. It is also specified that the goal must meet the matching degree between the airflow coverage range and the regional spatial location (the overlap rate between the airflow core area and the target area is ≥ 70%), thereby obtaining the optimization target of each air-conditioning outlet. The optimization target represents the specific goal to be achieved through a series of intervention measures (such as adjusting air-conditioning parameters and optimizing equipment operation strategies) in the energy efficiency analysis and control scenario. Each area corresponds to an air-conditioning outlet, and the shortest distance is used as the corresponding standard. In other embodiments, other methods can also be used for determination, which is not limited here.

[0050] In specific implementation, when determining the terminal air volume distribution parameters through the air outlet parameter adjustment range and optimization target of each air-conditioning outlet, the constrained optimization iteration method is adopted: that is, guided by the optimization target, first, within the air outlet parameter adjustment range, the air volume value is preliminarily set according to the heat load demand of the high-priority area (based on the estimation of the change in equivalent energy consumption) (for example, the air volume of the corresponding area with excessive deviation is increased by 10%-20%); then, the theoretical value of the air outlet angle is calculated according to the coordinates of the center point of the area (the air flow axis is pointed to the center of the area through the inverse deduction of trigonometric functions), and fine-tuned within the angle adjustment range to avoid obstruction by obstacles; then, according to the air volume and wind The matching relationship of air volume = wind speed × cross-sectional area of ​​the air outlet is determined by selecting a gear within the wind speed gear adjustment range to ensure that the wind speed can meet the airflow range requirement without exceeding the energy consumption threshold; finally, simulation verification (such as fluid dynamics airflow simulation) is used to check whether the parameter combination meets the optimization goal. If there is a deviation, iterative adjustment is performed in the order of "air volume → angle → wind speed" until all parameters are within the air outlet parameter adjustment range and the goal is achieved, and the adjusted parameters of each area are used as the terminal air volume distribution parameters of the energy-saving air conditioner for the corresponding air outlet of the air conditioner; in other embodiments, other methods can also be used for determination, which is not limited here.

[0051] It should be noted that the terminal air volume distribution parameters in this application represent the key parameters of the air volume distribution state of the terminal air outlet in the energy-saving air conditioner (such as air volume, air outlet angle, and wind speed level), which can be used to regulate the air outlet state of each terminal air outlet to optimize the energy consumption of the energy-saving air conditioner.

[0052] In specific implementation, the air outlet of the energy-saving air conditioner can be adjusted by all the terminal air volume distribution parameters in the following manner, namely: first, the terminal air volume distribution parameters of each air outlet (including the target air volume value of each air outlet, the corresponding air outlet angle and wind speed gear) obtained by optimization calculation are transmitted to the central controller through the communication bus (such as RS485) of the air conditioning control system. After the controller parses the parameters, it matches the corresponding execution module according to the air outlet number; for air volume adjustment, the controller sends a pulse width modulation adjustment signal to the fan frequency conversion module based on the difference between the target air volume and the current measured air volume (collected by the air outlet air volume sensor). The fan speed is dynamically adjusted within the air volume adjustment range of the air outlet (e.g., 80-300 m³ / h) until the measured air volume stabilizes within the target value within an error range of ±5%. At the same time, according to the target air outlet angle, the air guide plate stepper motor is driven to rotate within its angle adjustment range (e.g., 0-90° horizontally, -30° to 60° vertically). The position is fed back in real time through the angle sensor to ensure that the air guide plate is accurately positioned at the target angle. If a mechanical limit is detected during the adjustment process (e.g., reaching the angle extreme), the system automatically stops and records the error. For systems with multiple air outlets, a timing control strategy is adopted (e.g., prioritizing adjustment of the air outlet in the farthest area, and operating adjacent air outlets in sequence with an interval of 3 seconds) to avoid instantaneous airflow disturbances. After the adjustment is completed, the actual air volume and angle parameters of each air outlet are fed back to the optimization system. The adjustment effect is verified in combination with the regional temperature and energy efficiency deviation monitoring data. If the optimization target is not achieved, a new round of parameter calculation and adjustment is triggered until all air outlets operate stably according to the assigned parameters and meet the energy efficiency optimization requirements.

[0053] In addition, in another aspect of the present application, in some embodiments, the present application provides an air conditioning system for energy-saving air conditioning, referring to Figure 4 , which is a schematic structural diagram of an air conditioning system for energy-saving air conditioning according to some embodiments of the present application. The air conditioning system 400 for energy-saving air conditioning includes: a monitoring module 401, a processing module 402, and an execution module 403, which are described as follows: Monitoring module 401, in this application, the monitoring module 401 is mainly used to monitor the temperature and air flow speed of each area when the energy-saving air conditioner is running; Processing module 402, in the present application, is used to determine the dynamic coupling relationship between airflow velocity and temperature in each area based on all monitored temperatures and all monitored airflow velocities, perform an equivalent analysis of the energy consumption conversion of the energy-saving air conditioner in the corresponding area by combining the temperature change characteristics and airflow velocity change characteristics of each area with the energy consumption state of the energy-saving air conditioner, and obtain the equivalent energy consumption change generated by the energy-saving air conditioner in each area; It should be noted that the processing module 402 in the present application is further configured to evaluate the energy efficiency loss of the room equipped with the energy-saving air conditioner based on the dynamic coupling relationship between the airflow velocity and temperature in each area and the change in equivalent energy consumption generated by the energy-saving air conditioner in each area, thereby obtaining the local energy efficiency deviation between the areas in the room. Execution module 403. In this application, execution module 403 is mainly used to determine the terminal air volume distribution parameters of the energy-saving air conditioner for each air-conditioning outlet based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air-conditioning outlet, and then adjust the air-conditioning outlet of the energy-saving air conditioner according to all the terminal air volume distribution parameters.

[0054] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned air conditioning method for energy-saving air conditioning.

[0055] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing an air conditioning method for energy-saving air conditioning according to some embodiments of the present application. The air conditioning method for energy-saving air conditioning in the above embodiment can be achieved by Figure 5 The computer device 500 shown in FIG. 5 is implemented as shown in FIG. 5 . The computer device 500 includes at least one processor 501 , a communication bus 502 , a memory 503 , and at least one communication interface 504 .

[0056] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0057] The communication bus 502 may be used to transmit information between the aforementioned components.

[0058] The memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CDROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory 503 may be independent and connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0059] The memory 503 is used to store program code for executing the solution of the present application, and is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0060] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0061] In a specific implementation, as an example, a computer device may include multiple processors, each of which may be a single-core (singleCPU) processor or a multi-core (multiCPU) processor. The processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0062] The aforementioned computer device can be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0063] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned air conditioning method for energy-saving air conditioning.

[0064] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0065] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. An air conditioning method for energy-saving air conditioning, wherein: A room equipped with an energy-saving air conditioner is divided into a plurality of zones based on the airflow coverage and position of the air outlet of the air conditioner, wherein the energy-saving air conditioner is a central air conditioner. The method is characterized in that it comprises the following steps: Monitor the temperature and airflow speed in each area when energy-saving air conditioners are running; Determine the dynamic coupling relationship between airflow velocity and temperature in each area based on all monitored temperatures and all airflow velocities, perform an equivalent analysis of the energy consumption conversion of the energy-saving air conditioner in the corresponding area based on the temperature change characteristics and airflow velocity change characteristics of each area in combination with the energy consumption state of the energy-saving air conditioner, and obtain the equivalent energy consumption change generated by the energy-saving air conditioner in each area; The energy efficiency loss of the room equipped with the energy-saving air conditioner is evaluated based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area, thereby obtaining the local energy efficiency deviation between the various areas in the room; Based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air-conditioning outlet, the terminal air volume distribution parameters of the energy-saving air conditioner for each air-conditioning outlet are determined, and then the air-conditioning outlet of the energy-saving air conditioner is adjusted by all the terminal air volume distribution parameters.

2. The method according to claim 1, wherein Determining the dynamic coupling relationship between airflow velocity and temperature in each area based on all monitored temperatures and all monitored airflow velocities specifically includes: Select an area as a selected area, and determine the correlation between the airflow velocity and the temperature in the selected area based on all temperatures and all airflow velocities monitored in the selected area; determining a time lag characteristic between airflow changes and temperature changes in the selected area based on the correlation; determining the dynamic coupling relationship between airflow velocity and temperature in the selected area through the time lag characteristics; Continue to determine the dynamic coupling relationship between airflow velocity and temperature in the remaining areas.

3. The method according to claim 1, wherein By combining the temperature change characteristics and air flow velocity change characteristics of each area with the energy consumption status of the energy-saving air conditioner, an equivalent analysis is performed on the energy consumption conversion of the energy-saving air conditioner in the corresponding area, and the equivalent energy consumption change generated by the energy-saving air conditioner in each area is obtained, which specifically includes: Obtaining the energy consumption status of the energy-saving air conditioner; Determine the temperature change characteristics and airflow velocity change characteristics of each area; Determining a temperature contribution characteristic of temperature to energy consumption according to the energy consumption state and the temperature change characteristics of each area; Determining airflow contribution characteristics of airflow velocity to energy consumption according to the energy consumption state and the airflow velocity change characteristics of each area; The equivalent energy consumption change generated by the energy-saving air conditioner in each area is determined based on the temperature contribution characteristics and the airflow contribution characteristics.

4. The method according to claim 1, wherein Based on the dynamic coupling relationship between the airflow velocity and temperature in each area and the change in equivalent energy consumption generated by the energy-saving air conditioner in each area, the energy efficiency loss of the room equipped with the energy-saving air conditioner is evaluated, and the local energy efficiency deviation between the various areas in the room is obtained, which specifically includes: Determine the energy efficiency loss area of ​​each indoor area equipped with the energy-saving air conditioner based on the dynamic coupling relationship between the air flow velocity and temperature in each area and the equivalent energy consumption change generated by the energy-saving air conditioner in each area; Select two regions as the selected two regions, and determine the energy efficiency distribution difference between the selected two regions through the energy efficiency loss regions corresponding to the selected two regions; determining a local energy efficiency deviation between two selected areas based on the energy efficiency distribution difference; Continue to determine the local energy efficiency deviations between the remaining areas of the room.

5. The method according to claim 1, wherein Based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air outlet, the terminal air volume distribution parameters of the energy-saving air conditioner for each air outlet are determined, specifically including: Determining the spatial location distribution of each indoor area equipped with the energy-saving air conditioner; Get the air outlet parameter adjustment range of each air conditioner outlet; Determining an optimization target for each air-conditioning outlet based on the spatial location distribution of each area and all local energy efficiency deviations; The terminal air volume distribution parameters of the energy-saving air conditioner to the corresponding air outlet are determined according to the air outlet parameter adjustment range of each air outlet and the optimization target.

6. The method according to claim 1, wherein A spatial coordinate modeling method is used to obtain the spatial position distribution of each indoor area equipped with the energy-saving air conditioner.

7. The method according to claim 1, wherein Integrated sensor nodes monitor the temperature and airflow speed of each zone during energy-saving air conditioning operation.

8. An air conditioning system for energy-saving air conditioning, characterized in that: include: Monitoring module, used to monitor the temperature and air flow speed of each area when the energy-saving air conditioner is running; a processing module for determining a dynamic coupling relationship between airflow velocity and temperature in each zone based on all monitored temperatures and all monitored airflow velocities, performing an equivalent analysis of energy consumption conversion of the energy-saving air conditioner in the corresponding zone based on the temperature change characteristics and airflow velocity change characteristics of each zone in combination with the energy consumption state of the energy-saving air conditioner, and obtaining an equivalent energy consumption change generated by the energy-saving air conditioner in each zone; The processing module is further configured to evaluate the energy efficiency loss of the room equipped with the energy-saving air conditioner based on the dynamic coupling relationship between the airflow velocity and temperature in each area and the change in equivalent energy consumption generated by the energy-saving air conditioner in each area, thereby obtaining a local energy efficiency deviation between the various areas in the room; An execution module is used to determine the terminal air volume distribution parameters of the energy-saving air conditioner for each air outlet based on the spatial position distribution of each indoor area equipped with the energy-saving air conditioner and all local energy efficiency deviations combined with the air outlet parameter adjustment range of each air outlet, and then adjust the air outlet of the energy-saving air conditioner according to all the terminal air volume distribution parameters.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the air conditioning method for energy-saving air conditioning according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the air conditioning method for energy-saving air conditioning according to any one of claims 1 to 7 is implemented.

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