Air energy heat pump control method and system

Abstract

The invention provides an air energy heat pump control method and system, and the method comprises the steps: collecting the image data of a heat exchanger in real time, and carrying out the frosting condition evaluation through a pre-trained frosting degree recognition model. When it is detected that the frosting degree value exceeds the threshold value, the system can obtain environment data, and the defrosting degree value is calculated according to the difference value between the frosting degree value and the defrosting ending threshold value. And then, based on the defrosting degree value and the environment data, the required defrosting operation duration is scientifically determined through a preset defrosting operation duration estimation method, and the defrosting operation of the heat exchanger is executed within the estimated time. According to the innovative control method, accurate management of the defrosting process is achieved, energy waste caused by excessive defrosting in a traditional defrosting mode is effectively avoided, and meanwhile the adverse effect of insufficient defrosting on the system performance is also prevented. Through dynamic monitoring and intelligent estimation, the operation efficiency and reliability of the air energy heat pump system are remarkably improved, and a new technical scheme is provided for energy saving optimization.

Description

Technical Field

[0001] This application relates to the field of heating, and in particular to a control method and system for an air source heat pump. Background Art

[0002] An air source heat pump is an energy-saving and environmentally friendly device that utilizes low-grade heat energy in the atmosphere and converts it into high-grade heat energy through the reverse Carnot cycle. During the heating process of this device, the surface temperature of the heat exchanger of the outdoor unit is usually lower than the ambient temperature and lower than the dew point temperature, which causes water vapor in the air to condense and frost on the surface of the heat exchanger. The presence of the frost layer will seriously affect the heat transfer effect of the heat exchanger, resulting in a decrease in the heating capacity of the system and a reduction in the energy efficiency ratio. Therefore, defrosting must be carried out in a timely manner.

[0003] Currently, the following defrosting methods are mainly used in the industry: Reverse cycle defrosting is the most common method. By switching the four-way valve, the refrigerant flow direction is reversed, and the heat absorbed by the indoor unit is used to defrost the outdoor unit. This method has good defrosting effect and short defrosting time, but the normal heating will be interrupted during the defrosting process, and the indoor temperature will fluctuate. Electric heating defrosting directly heats and defrosts by installing an electric heating device on the surface of the heat exchanger. The structure is simple but the energy consumption is large. Hot gas bypass defrosting directly introduces the high-temperature gas discharged from the compressor into the outdoor heat exchanger for defrosting. Although it does not affect the indoor heating, the defrosting efficiency is low.

[0004] These traditional defrosting methods have poor accuracy in defrosting judgment. The existing defrosting control mostly relies on indirect parameters such as temperature and pressure, making it difficult to accurately judge the degree of frosting, and it is easy to have problems such as untimely defrosting or over-defrosting. Secondly, the defrosting energy consumption is high. Whether it is reverse cycle defrosting or electric heating defrosting, a large amount of additional energy is required. In addition, frequent defrosting start and stop will exacerbate the fatigue of system components and shorten the service life of the equipment. Summary of the Invention

[0005] This application provides a control method for an air source heat pump, including the following steps: A1. When the air source heat pump is preset to heat, obtain the corresponding heat exchanger image data; A2. According to the heat exchanger image data, identify and generate the corresponding frosting degree value through a pre-trained frosting degree recognition model; A3. If the frosting degree value is greater than the preset defrosting threshold, obtain the corresponding environmental data; A4. Calculate the corresponding defrosting degree value by taking the difference between the frosting degree value and the preset defrosting end threshold; A5. Determine the corresponding estimated defrosting operation duration according to the defrosting degree value and the environmental data through a preset defrosting operation duration estimation method; A6. Perform the heat exchanger defrosting operation within the estimated defrosting operation duration.

[0006] By adopting the above technical solution, the air - source heat pump control method can monitor the frosting condition of the heat exchanger of the air - source heat pump in real time through an image recognition model, and dynamically estimate the required defrosting duration in combination with environmental data, thus achieving more accurate and efficient defrosting control. It can not only avoid energy waste caused by excessive defrosting, but also prevent insufficient defrosting from affecting the system performance, ultimately improving the overall operation efficiency and reliability of the air - source heat pump system.

[0007] Optionally, the air - source heat pump control method further includes the following steps: A7. At the start of the heat exchanger defrosting operation, obtain the corresponding heat exchanger image data and define it as the defrost start image data; A8. According to the defrost start image data, identify and generate the corresponding initial frosting degree value of the operation through the frosting degree recognition model; A9. During the heat exchanger defrosting operation, continuously obtain the heat exchanger image data and define it as the real - time heat exchanger image data; A10. According to the real - time heat exchanger image data, identify and generate the corresponding real - time frosting degree value through the frosting degree recognition model; A11. If the real - time frosting degree value is less than the defrost end threshold, stop the heat exchanger defrosting operation.

[0008] By adopting the above technical solution, the air - source heat pump control method can establish a dynamic feedback mechanism by monitoring the change of the frosting condition during the defrosting process in real time. It can intelligently judge and end the defrosting operation in a timely manner according to the actual defrosting effect, avoiding the problems of excessive or insufficient defrosting that may be caused by a fixed - duration defrosting, ensuring the defrosting effect while minimizing the defrosting energy consumption to make the system operation more intelligent and efficient.

[0009] Optionally, the air - source heat pump control method further includes the following steps: A12. At the end of the heat exchanger defrosting operation, determine the corresponding actual defrosting duration, and obtain the corresponding heat exchanger image data and define it as the defrost end image data; A13. According to the defrost end image data, identify and generate the corresponding ending frosting degree value of the operation through the frosting degree recognition model; A14. Calculate the corresponding actual defrosting degree value by taking the difference between the initial frosting degree value of the operation and the ending frosting degree value of the operation; A15. Calculate the corresponding actual defrosting efficiency by dividing the actual defrosting degree value by the actual defrosting duration.

[0010] By adopting the above technical solution, the air source heat pump control method can obtain the actual defrosting efficiency data by calculating the difference in the frosting degree values and the time taken at the actual start and end of defrosting, which can not only verify the actual effect of the defrosting operation, but also provide an important reference basis for the optimization of subsequent defrosting control strategies, and help the system continuously improve the defrosting efficiency and overall performance.

[0011] Optionally, the air source heat pump control method further includes the following steps for training the frosting degree recognition model: B1. Obtain the frosting images of each heat exchanger of the air source heat pump in a preset experimental environment; B2. Measure and determine the frosting thickness value and the frosting area ratio corresponding to each heat exchanger frosting image; B3. Multiply the frosting thickness value and the frosting area ratio to determine the frosting degree value corresponding to the heat exchanger frosting image and define it as the sample frosting label value; B4. Generate corresponding frosting image sample label data pairs according to the heat exchanger frosting image and the corresponding sample frosting label value; B5. Generate frosting image training data according to all the frosting image sample label data pairs; B6. Train the corresponding machine learning model according to the frosting image training data to generate the frosting degree recognition model.

[0012] By adopting the above technical solution, the air source heat pump control method can obtain the frosting images of the radiator in the experimental environment, and combine the two parameters of frosting thickness and area, and construct an image recognition model of the frosting degree through machine learning technology, ensuring that the recognition model has good practicability and reliability, and can accurately identify various frosting conditions and frosting degrees.

[0013] Optionally, the defrosting operation duration prediction method includes the following steps: C1. Obtain the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor light data and installation location data corresponding to the air source heat pump; C2. Generate environmental data according to the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor light data and installation location data; C3. Generate corresponding environmental feature data according to the environmental data through a preset feature extraction algorithm; C4. Generate the corresponding recognized defrosting operation duration according to the defrosting degree value and the environmental feature data through a preset defrosting duration prediction model; C5. Calculate the corresponding predicted defrosting operation duration according to the recognized defrosting operation duration and a preset correction coefficient.

[0014] By adopting the above technical solution, the air source heat pump control method can comprehensively consider multi-dimensional environmental factors such as temperature, humidity, wind speed, and light, as well as the influence of the equipment installation location. Through feature extraction and calculation of the prediction model, and then combined with the correction coefficient for adjustment, it realizes a more accurate prediction of the defrosting duration. The method of comprehensive evaluation of multiple factors improves the accuracy and adaptability of the defrosting duration prediction, and can make more reasonable defrosting control decisions for different environmental conditions.

[0015] Optionally, the air source heat pump control method further includes the following steps for training the defrosting duration prediction model: D1. During the defrosting operation of the heat exchangers of multiple air source heat pumps, obtain the corresponding environmental data and define it as defrosting environmental data; D2. After the defrosting operation of the heat exchangers corresponding to each air source heat pump ends, obtain the corresponding actual defrosting duration; D3. Calculate the average defrosting environmental data corresponding to the defrosting environmental data, and define the corresponding actual defrosting duration as the defrosting duration label value; D4. Generate the corresponding defrosting duration sample label pair according to the average defrosting environmental data and the corresponding defrosting duration label value; [[ID=!2]] D5. Generate the corresponding defrosting duration training data according to all the defrosting duration sample label pairs; D6. Train the corresponding machine learning model according to the defrosting duration training data to generate the defrosting duration prediction model.

[0016] By adopting the above technical solution, the air source heat pump control method can establish a prediction model by means of data averaging and machine learning based on the defrosting data and environmental data of different multiple air source heat pumps in actual operation, which not only avoids the deviation that may be brought by a single sample, but also makes full use of the statistical characteristics of group data, making the model have stronger universality and accuracy, and can provide a reliable reference basis for the prediction of the defrosting duration under different working conditions.

[0017] Optionally, the air source heat pump control method further includes the following steps to determine the defrosting threshold: E1. Obtain the current heating working condition of the air source heat pump; E2. Under the current heating working condition, obtain the current working condition heat exchanger image data of the air source heat pump according to the preset data time window, and collect the corresponding coefficient of performance value; E3. Identify and generate the corresponding current working condition frosting degree value according to each current working condition heat exchanger image data through the frosting degree identification model; E4. Calculate the corresponding correlation coefficient according to all the current working condition frosting degree values and the corresponding coefficient of performance values; E5. If the correlation coefficient is less than the preset energy efficiency ratio influence threshold, the average frosting degree of the current working condition is calculated by averaging all the current working condition frosting degree values and defined as the defrosting threshold.

[0018] By adopting the above technical solution, the air source heat pump control method can monitor the correlation between the frosting degree and the energy efficiency ratio of the air source heat pump under specific working conditions in real time. When it is found that frosting significantly affects the system heating energy efficiency ratio, the defrosting threshold is determined according to the average frosting degree of the current working condition. This dynamic adaptive threshold determination method not only ensures the necessity of defrosting but also can make timely adjustments according to the actual operating conditions, avoiding frequent start-stop of defrosting operations, making the defrosting control more scientific and reasonable, and effectively improving the operating efficiency of the system.

[0019] This application also provides an air source heat pump control system, including: A heating module; A heat exchanger module; A defrosting module; An image acquisition module; An environmental data acquisition module; A data processing module; Among them, the heating module, the heat exchanger module, the defrosting module, the image acquisition module, and the environmental data acquisition module are respectively connected to the data processing module for data; Among them, the air source heat pump control system further includes a defrosting control strategy, including the following steps: F1. When the heating module is heating, the heat exchanger image data of the heat exchanger module is acquired through the image acquisition module; F2. The data processing module generates a corresponding frosting degree value by identifying through a pre-trained frosting degree recognition model according to the heat exchanger image data; F3. If the frosting degree value is greater than the preset defrosting threshold, the corresponding environmental data is acquired through the environmental data acquisition module; F4. Calculate the corresponding defrosting degree value by taking the difference between the frosting degree value and the preset defrosting end threshold; F5. Determine the corresponding estimated defrosting operation duration according to the defrosting degree value and the environmental data through a preset defrosting operation duration estimation method; F6. Perform heat exchanger defrosting operation through the defrosting module within the estimated defrosting operation duration.

[0020] By adopting the above technical solution, the air source heat pump control system can monitor the frosting condition of the heat exchanger of the air source heat pump in real time through an image recognition model, and dynamically estimate the required defrosting duration in combination with environmental data, thereby achieving more accurate and efficient defrosting control. This not only avoids energy waste caused by excessive defrosting, but also prevents insufficient defrosting from affecting system performance, ultimately improving the overall operating efficiency and reliability of the air source heat pump system.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. It can monitor the frosting condition of the heat exchanger of the air source heat pump in real time through an image recognition model, and dynamically estimate the required defrosting duration in combination with environmental data, thereby achieving more accurate and efficient defrosting control. This not only avoids energy waste caused by excessive defrosting, but also prevents insufficient defrosting from affecting system performance, ultimately improving the overall operating efficiency and reliability of the air source heat pump system.

[0022] 2. By monitoring the change in the frosting condition during the defrosting process in real time, a dynamic feedback mechanism is established, which can intelligently judge and end the defrosting operation in a timely manner according to the actual defrosting effect, avoiding problems of excess or insufficiency that may be caused by fixed-duration defrosting. This not only ensures the defrosting effect but also minimizes defrosting energy consumption to the greatest extent, making the system operation more intelligent and efficient.

[0023] 3. By calculating the difference in the frosting degree values at the start and end of the actual defrosting and the duration used, the actual defrosting efficiency data can be obtained, which can not only verify the actual effect of the defrosting operation but also provide an important reference basis for optimizing subsequent defrosting control strategies, helping the system continuously improve defrosting efficiency and overall performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a process schematic diagram of a method for controlling an air source heat pump according to the present invention.

[0025] Figure 2 is a schematic diagram of the principle of an air source heat pump control system according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] The following further describes the embodiments of the present application in detail with reference to the drawings of the specification.

[0028] Refer to Figure 1, the present invention provides an air - source heat pump control method for intelligently controlling the defrosting operation of an air - source heat pump, including the following steps: A1, when the air - source heat pump is in the preset heating mode, obtain the corresponding heat exchanger image data; The heat exchanger image data is the appearance image data of the heat exchanger of the air - source heat pump. ]>

[0029] A2, according to the heat exchanger image data, identify and generate the corresponding frosting degree value through a pre - trained frosting degree recognition model; The frosting degree recognition model is a pre - trained recognition model, which can identify and judge the frosting degree of the heat exchanger according to the heat exchanger image data; The frosting degree value is the numerical value of the frosting degree of the heat exchanger generated by identifying the image of the heat exchanger through the recognition model.

[0030] A3, if the frosting degree value is greater than the preset defrosting threshold, obtain the corresponding environmental data; The defrosting threshold is a pre - set reference value, which is used to judge whether the frosting degree value corresponding to the heat exchanger image data has reached the degree that requires defrosting; The environmental data is the parameter data of the environment where the current heat exchanger is located, which may include the outdoor temperature, outdoor humidity, outdoor wind speed, the orientation of the heat exchanger, and the sunlight condition of the sun, etc., which are the conditional factors affecting the frosting of the heat exchanger.

[0031] A4, calculate the corresponding defrosting degree value by finding the difference between the frosting degree value and the preset defrosting end threshold; The defrosting end threshold is a pre - set reference value, which is used to judge whether the defrosting operation has been completed. It can be calculated and determined according to relevant data or set according to experience; The defrosting degree value is the degree difference of defrosting required, which is used to quantitatively reflect the workload of the defrosting operation.

[0032] A5, determine the corresponding estimated defrosting operation duration according to the defrosting degree value and the environmental data through a preset defrosting operation duration estimation method; The defrosting operation duration estimation method is a pre - set method, which is used to estimate the duration required for the defrosting operation. It can be a self - set algorithm or a pre - trained estimation model. The frosting degree value can reflect the frosting degree of the corresponding heat exchanger, and the environmental data can reflect the influence of the environmental conditions of the defrosting operation on the defrosting efficiency. Therefore, the possible duration required for the defrosting operation can be estimated according to the corresponding model recognition.

[0033] A6, perform the heat exchanger defrosting operation within the estimated defrosting operation duration.

[0034] During the estimated defrosting operation duration, perform the defrosting operation to avoid too long defrosting operation duration, which affects the user's heat consumption, and also avoid too short defrosting operation duration, which may cause incomplete defrosting and affect the subsequent heating efficiency.

[0035] Through the above steps, the air source heat pump control method can use the image recognition model to monitor the frosting condition of the heat exchanger of the air source heat pump in real time, and dynamically estimate the required defrosting duration in combination with the environmental data, thus achieving more accurate and efficient defrosting control. This not only avoids energy waste caused by over-defrosting, but also prevents insufficient defrosting from affecting the system performance, ultimately improving the overall operation efficiency and reliability of the air source heat pump system.

[0036] Further, the air source heat pump control method further includes the following steps: A7, at the start of the defrosting operation of the heat exchanger, obtain the corresponding heat exchanger image data and define it as the defrost start image data; The defrost start image data is the appearance image data of the heat exchanger of the air source heat pump at the start of the defrosting operation of the heat exchanger.

[0037] A8, according to the defrost start image data, use the frosting degree recognition model to identify and generate the corresponding initial operation frosting degree value; The initial operation frosting degree value is the frosting degree value corresponding to the defrost start image data.

[0038] A9, during the defrosting operation of the heat exchanger, continuously obtain the heat exchanger image data and define it as the real-time heat exchanger image data; The real-time heat exchanger image data is the appearance image data of the heat exchanger of the air source heat pump obtained in real time. The real-time heat exchanger image data can be continuously obtained at a relatively small time interval to avoid excessive consumption of the computing power for subsequent recognition processing.

[0039] A10, according to the real-time heat exchanger image data, use the frosting degree recognition model to identify and generate the corresponding real-time frosting degree value; The real-time frosting degree value is the corresponding frosting degree value identified by the frosting degree recognition model through the real-time heat exchanger image data.

[0040] A11, if the real-time frosting degree value is less than the defrost end threshold, stop executing the defrosting operation of the heat exchanger; When the real-time frosting degree value is less than the defrost end threshold, it can be determined that the defrosting is over and the defrosting operation is stopped.

[0041] Through the above steps, the air source heat pump control method can establish a dynamic feedback mechanism by monitoring the change of frosting condition in real time during the defrosting process. It can intelligently judge and end the defrosting operation in a timely manner according to the actual defrosting effect, avoiding the problems of over-defrosting or under-defrosting that may be caused by a fixed defrosting duration. This not only ensures the defrosting effect but also minimizes the defrosting energy consumption to make the system operation more intelligent and efficient.

[0042] Further, the air source heat pump control method further includes the following steps: A12. At the end of the defrosting operation of the heat exchanger, determine the corresponding actual defrosting duration, and obtain the corresponding heat exchanger image data and define it as defrosting end image data; The actual defrosting duration is the actual continuous duration of the heat exchanger defrosting operation, which can be determined by obtaining the start time and end time corresponding to the heat exchanger defrosting operation; The defrosting end image data is the appearance image data of the heat exchanger of the air source heat pump obtained at the end of the heat exchanger defrosting operation.

[0043] A13. According to the defrosting end image data, identify and generate the corresponding defrosting end frosting degree value through the frosting degree identification model; The defrosting end frosting degree value is the frosting degree value generated by identification corresponding to the defrosting end image data.

[0044] A14. Calculate the corresponding actual defrosting degree value by finding the difference between the initial defrosting degree value of the operation and the defrosting end frosting degree value; The actual defrosting degree value is the difference between the initial defrosting degree value of the operation and the defrosting end frosting degree value, which quantitatively reflects the actual defrosting effect.

[0045] A15. Calculate the corresponding actual defrosting efficiency by dividing the actual defrosting degree value by the actual defrosting duration; The actual defrosting efficiency is the quotient of the actual defrosting degree value and the actual defrosting duration, which reflects the actual defrosting efficiency.

[0046] Through the above steps, the air source heat pump control method can obtain the actual defrosting efficiency data by calculating the difference between the frosting degree values at the beginning and end of the actual defrosting and the time used. It can not only verify the actual effect of the defrosting operation but also provide an important reference basis for the optimization of subsequent defrosting control strategies, which helps the system continuously improve the defrosting efficiency and overall performance.

[0047] Through the above steps, the air source heat pump control method further includes the following steps for training the frosting degree identification model: B1. Obtain the frosting images of each heat exchanger of the air source heat pump in a preset experimental environment; The experimental environment is an artificially set simulation environment; The frosting image of the heat exchanger is an image acquired by operating the air source heat pump in an experimental environment to cause frosting on the heat exchanger of the air source heat pump and then collecting the image. In the experimental environment, frosting images of the heat exchanger with various frosting degrees and frosting forms can be obtained.

[0048] B2, and measure and determine the frosting thickness value and the frosting area ratio corresponding to each frosting image of the heat exchanger. The frosting thickness value is the thickness value of the frosting on the heat exchanger when the frosting image of the heat exchanger is collected. It can be conveniently measured and obtained in the experimental environment. Frosts with different thicknesses have certain differences in texture and color, which can be used as the basis for distinguishing in model image recognition. The frosting area ratio is the ratio of the frosting area of the heat exchanger to the appearance area of the radiator when the frosting image of the heat exchanger is collected. It can be conveniently measured and calculated in the experimental environment.

[0049] B3, multiply the frosting thickness value and the frosting area ratio to determine the frosting degree value corresponding to the frosting image of the heat exchanger and define it as the sample frosting label value. The sample frosting label value is the product of the frosting thickness value and the frosting area ratio, which is used to quantitatively reflect the frosting degree of the heat exchanger and further serve as the label value for subsequent model training.

[0050] B4, generate a corresponding frosting image sample label data pair according to the combination of the frosting image of the heat exchanger and the corresponding sample frosting label value. The frosting image sample label data pair is a data combination of the frosting image of the heat exchanger and the corresponding sample frosting label value.

[0051] B5, generate frosting image training data according to the combination of all the frosting image sample label data pairs. The frosting image training data is a data set of all the frosting image sample label data pairs.

[0052] B6, train a corresponding machine learning model according to the frosting image training data to generate a frosting degree recognition model. The machine learning model is a pre-selected learning model, which is used for image recognition and outputs the corresponding recognition quantity.

[0053] Through the above steps, the air source heat pump control method can construct an image recognition model of the frosting degree by using the frosting image of the radiator obtained in the experimental environment and combining the two parameters of the frosting thickness and area, ensuring that the recognition model has good practicability and reliability and can accurately recognize various frosting conditions and frosting degrees.

[0054] Furthermore, the defrosting operation duration estimation method includes the following steps: C1. Obtain the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor sunlight data, and installation location data corresponding to the air source heat pump; The outdoor air temperature data is the air temperature data at the installation location of the heat exchanger. Usually, the heat exchanger is installed outdoors in the open air; The outdoor humidity data is the humidity data at the installation location of the heat exchanger; The outdoor wind speed data is the wind speed data at the installation location of the heat exchanger; The outdoor sunlight data is the data of the sunlight intensity at the installation location of the heat exchanger; The installation location data is the location data at the installation location of the heat exchanger, which may include data such as longitude, latitude, height, and installation orientation; To a certain extent, the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor sunlight data, and installation location data all affect the frosting and defrosting conditions of the heat exchanger, so they can be used to estimate the consumption duration of the defrosting operation.

[0055] C2. Generate environmental data by combining the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor sunlight data, and installation location data; The environmental data is the data collection of the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor sunlight data, and installation location data.

[0056] C3. Generate corresponding environmental feature data according to the environmental data through a preset feature extraction algorithm; The feature extraction algorithm is a preset algorithm for extracting feature data from environmental data. Available algorithms such as principal component analysis can reduce the dimensionality of data while extracting features, reduce duplicate features, and reduce the data volume; The environmental feature data is the feature data corresponding to the environmental data.

[0057] C4. Generate the corresponding recognized defrosting operation duration according to the defrosting degree value and the environmental feature data through a preset defrosting duration estimation model; The defrosting duration estimation model is a pre-trained model for estimating and generating the corresponding defrosting operation duration according to the input defrosting degree value and environmental feature data; The recognized defrosting operation duration is the model estimated value of the defrosting operation duration estimated and generated by the defrosting duration estimation model.

[0058] C5. Calculate the corresponding estimated defrosting operation duration according to the recognized defrosting operation duration and a preset correction coefficient; The correction coefficient is a preset coefficient used to correct the recognized defrost operation duration to obtain the estimated defrost operation duration. The correction coefficient can be set manually or calculated based on historical estimated defrost operation durations and actual defrost operation durations to accurately estimate the defrost operation duration.

[0059] Through the above steps, the air source heat pump control method can comprehensively consider multi-dimensional environmental factors such as temperature, humidity, wind speed, and sunlight, as well as the influence of the equipment installation location. Through feature extraction and calculation of the estimation model, combined with the correction coefficient for adjustment, it realizes a more accurate defrost duration estimation. The multi-factor comprehensive evaluation method improves the accuracy and adaptability of defrost duration estimation and can make more reasonable defrost control decisions for different environmental conditions.

[0060] Further, the air source heat pump control method further includes the following steps for training the defrost duration estimation model: D1. During the defrost operation of the heat exchanger of multiple air source heat pumps, obtain the corresponding environmental data and define it as defrost environmental data; The defrost environmental data is the environmental data collected during the defrost operation of the air source heat pump. By collecting the environmental data during the heat exchanger defrost operation of multiple air source heat pumps set in different environments, an accurate model can be trained better through diversified data.

[0061] D2. After the defrost operation of the heat exchanger corresponding to each air source heat pump ends, obtain the corresponding actual defrost duration; After each heat exchanger of each air source heat pump frosts during the defrost operation, determine the real-time duration of this defrost operation.

[0062] D3. Calculate the corresponding average defrost environmental data by taking the mean of the defrost environmental data, and define the corresponding actual defrost duration as the defrost duration label value; The average defrost environmental data is the data level of the average value of each factor sample in the defrost environmental data. For example, the defrost environmental data can include temperature data, humidity data, wind speed data, etc. Calculate the corresponding average values according to the temperature data, humidity data, and wind speed data in the defrost environmental data and combine them into the average defrost environmental data; The defrost duration label value is the actual defrost duration used as the training sample label value.

[0063] D4. Generate the corresponding defrost duration sample label pair according to the average defrost environmental data and the corresponding defrost duration label value; The defrost duration sample label pair is the data pair used for model training.

[0064] D5. Generate corresponding defrosting duration training data according to all combinations of defrosting duration sample labels; The defrosting duration training data is the data set of all defrosting duration sample label pairs.

[0065] D6. Train a corresponding machine learning model according to the defrosting duration training data to generate a defrosting duration prediction model.

[0066] Through the above steps, the air source heat pump control method can establish a prediction model by means of data averaging and machine learning based on the defrosting data and environmental data of different multiple air source heat pumps in actual operation, which not only avoids the deviation that may be brought by a single sample, but also makes full use of the statistical characteristics of group data, making the model have stronger universality and accuracy, and can provide a reliable reference basis for predicting the defrosting duration under different working conditions.

[0067] Further, the air source heat pump control method further includes the following steps to determine the defrosting threshold: E1. Obtain the current heating working condition of the air source heat pump; The current heating working condition is the current heating working condition of the air source heat pump, and the air source heat pump has different energy efficiency ratios under different heating working conditions.

[0068] E2. Under the current heating working condition, obtain the current working condition heat exchanger image data of the air source heat pump according to the preset data time window, and collect the corresponding energy efficiency ratio value; The data time window is a preset time window for collecting data within a specific time. For example, the data time window can be set from the current moment to the past 15 minutes; The current working condition heat exchanger image data is the image data of the heat exchanger of the air source heat pump collected under the current heating working condition; The energy efficiency ratio value is the energy efficiency ratio of the air source heat pump during heating, and the energy efficiency ratio of the air source heat pump can be obtained by measuring the temperature difference between the inlet and outlet water, the water flow rate, and the input power of the electric energy.

[0069] E3. Identify and generate corresponding current working condition frosting degree values according to each current working condition heat exchanger image data through the frosting degree identification model; The current working condition frosting degree value is the frosting degree value generated by the model identification corresponding to the current working condition heat exchanger image data.

[0070] E4. Calculate the corresponding correlation coefficient according to all the current working condition frosting degree values and the corresponding energy efficiency ratio values; The correlation coefficient can be the Pearson correlation coefficient; Generally, the higher the frosting degree, the lower the energy efficiency ratio of the air source radiator. Therefore, its correlation coefficient is usually less than 0. When the frosting degree of the heat exchanger is relatively low, the newly added frosting has a relatively small negative impact on the energy efficiency ratio, and the correlation coefficient is usually a negative number close to 0. When the frosting degree of the heat exchanger is relatively high, the newly added frosting will significantly affect the energy efficiency ratio, and the correlation coefficient is usually a negative number close to -1.

[0071] E5. If the correlation coefficient is less than the preset energy efficiency ratio influence threshold, then calculate the average value of the frosting degrees of all current working conditions to obtain the average frosting degree of the current working condition and define it as the defrosting threshold. The energy efficiency ratio influence threshold is a preset reference value used to determine whether the correlation coefficient has reached the level of significant negative correlation. For example, the energy efficiency ratio influence threshold can be set to -0.5. The average frosting degree of the current working condition is the average value of the frosting degrees of all current working conditions, which reflects the average frosting degree within the data time window. That is, it indicates that the frosting degree of the heat exchanger within the data time window has significantly affected the energy efficiency ratio of the air source heat pump, and defrosting operation is required. Therefore, the average frosting degree of the current working condition can be used as the defrosting threshold.

[0072] Through the above steps, the air source heat pump control method can monitor the correlation between the frosting degree and the energy efficiency ratio of the air source heat pump under specific working conditions in real time. When it is found that the frosting significantly affects the system's heating energy efficiency ratio, the defrosting threshold is determined based on the average frosting degree of the current working condition. This dynamic and adaptive threshold determination method not only ensures the necessity of defrosting but also can make timely adjustments according to the actual operating conditions, avoiding frequent start-stop of defrosting operations, making the defrosting control more scientific and reasonable, and effectively improving the operating efficiency of the system.

[0073] Reference Figure 2 In addition, the present application also provides an air source heat pump control system, including: A heating module 10; A heat exchanger module 20; A defrosting module 30; An image acquisition module 40; An environmental data acquisition module 50; A data processing module 60; Among them, the heating module 10, the heat exchanger module 20, the defrosting module 30, the image acquisition module 40, and the environmental data acquisition module 50 are respectively connected to the data processing module 60 through data; The heating module 10 is the heating part of the air source heat pump and is used for heating.

[0074] The heat exchanger module 20 is the heat exchanger of the air source heat pump and is used to achieve heat exchange.

[0075] The defrosting module 30 is mainly used to remove the frost on the heat exchanger module 20.

[0076] The image acquisition module 40 is mainly used to collect the appearance images of the heat exchanger module 20.

[0077] The environmental data acquisition module 50 is mainly used to collect the environmental data around the installation position of the heat exchanger module 20, such as data of air temperature, humidity, wind speed, and light intensity, etc. The corresponding type of data can be collected by setting different sensors.

[0078] The data processing module 60 is mainly used to perform data processing and control the coordinated operation of other modules.

[0079] Further, the heating module 10 is thermally connected to the heat exchanger module 20, the defrosting module 30 is connected to the heat exchanger module 20, the image acquisition module 40 is arranged facing the heat exchanger module 20, and the environmental data acquisition module 50 is arranged near the heat exchanger module 20.

[0080] The heating module 10 is thermally connected to the heat exchanger module 20 to achieve heat exchange; The defrosting module 30 is connected to the heat exchanger module 20 to perform a controllable defrosting operation on the heat exchanger module 20 determined to be in a frosting state; The image acquisition module 40 is arranged facing the heat exchanger module 20, and can directly obtain the surface image of the heat exchanger module 20, which is used to judge the frosting degree according to the image; The environmental data acquisition module 50 is arranged near the heat exchanger module 20, and can collect the environmental data around the heat exchanger module 20 as accurately as possible.

[0081] Wherein, the air source heat pump control system further includes a defrosting control strategy, including the following steps: F1. When the heating module 10 is heating, obtain the heat exchanger image data of the heat exchanger module 20 through the image acquisition module 40; F2. The data processing module 60 identifies and generates a corresponding frosting degree value according to the heat exchanger image data through a pre-trained frosting degree recognition model; F3. If the frosting degree value is greater than a preset defrosting threshold, obtain the corresponding environmental data through the environmental data acquisition module 50; F4. Calculate the corresponding defrosting degree value by taking the difference between the frosting degree value and a preset defrosting end threshold; F5. Determine the corresponding estimated defrosting operation duration according to the defrosting degree value and the environmental data through a preset defrosting operation duration estimation method; F6 performs the defrosting operation on the heat exchanger through the defrosting module 30 within the estimated defrosting operation duration.

[0082] Through the above technical solutions, the air source heat pump control system can monitor the frosting condition of the heat exchanger of the air source heat pump in real time through the image recognition model, and dynamically estimate the required defrosting duration in combination with the environmental data, thereby achieving more accurate and efficient defrosting control. It can not only avoid the energy waste caused by excessive defrosting, but also prevent the insufficient defrosting from affecting the system performance, and ultimately improve the overall operation efficiency and reliability of the air source heat pump system.

[0083] The above are all the preferred embodiments of this application. The protection scope of this application is not limited accordingly. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only an example in a series of equivalent or similar features.

Claims

1. An air source heat pump control method, characterized in that, including the following steps: A1. When the preset air - source heat pump is heating, obtain the corresponding heat exchanger image data; A2. According to the heat exchanger image data, identify and generate the corresponding frosting degree value through a pre - trained frosting degree recognition model; A3. If the frosting degree value is greater than the preset defrosting threshold, obtain the corresponding environmental data; A4. Calculate the corresponding defrosting degree value by finding the difference between the frosting degree value and the preset defrosting end threshold; A5. Determine the corresponding estimated defrosting operation duration according to the defrosting degree value and the environmental data through a preset defrosting operation duration estimation method; A6. Perform the heat exchanger defrosting operation within the estimated defrosting operation duration.

2. The air energy heat pump control method according to claim 1, characterized in that, It further includes the following steps: A7. When the heat exchanger defrosting operation starts, obtain the corresponding heat exchanger image data and define it as the defrosting start image data; A8. According to the defrosting start image data, identify and generate the corresponding initial frosting degree value of the operation through the frosting degree recognition model; A9. When the heat exchanger defrosting operation is in progress, continuously obtain the heat exchanger image data and define it as the real - time heat exchanger image data; A10. According to the real - time heat exchanger image data, identify and generate the corresponding real - time frosting degree value through the frosting degree recognition model; A11. If the real - time frosting degree value is less than the defrosting end threshold, stop performing the heat exchanger defrosting operation.

3. The air energy heat pump control method according to claim 2, characterized in that, It further includes the following steps: A12. When the heat exchanger defrosting operation ends, determine the corresponding actual defrosting duration, and obtain the corresponding heat exchanger image data and define it as the defrosting end image data; A13. According to the defrosting end image data, identify and generate the corresponding end - of - operation frosting degree value through the frosting degree recognition model; A14. Calculate the corresponding actual defrosting degree value by finding the difference between the initial frosting degree value of the operation and the end - of - operation frosting degree value; A15. Calculate the corresponding actual defrosting efficiency by dividing the actual defrosting degree value by the actual defrosting duration.

4. The air source heat pump control method according to claim 3, characterized in that It further includes the following steps for training the frosting degree recognition model: B1. Obtain the frosting images of each heat exchanger of the air - source heat pump in a preset experimental environment; B2. Measure and determine the frosting thickness value and frosting area ratio corresponding to each heat exchanger frosting image; B3. Determine the frosting degree value corresponding to the heat exchanger frosting image by multiplying the frosting thickness value and the frosting area ratio, and define it as the sample frosting label value; B4. Generate the corresponding frosting image sample label data pair according to the heat exchanger frosting image and the corresponding sample frosting label value; B5. Generate the frosting image training data according to all the frosting image sample label data pairs; B6. Train the corresponding machine learning model according to the frosting image training data to generate the frosting degree recognition model.

5. The air source heat pump control method according to claim 4, wherein The defrosting operation duration estimation method includes the following steps: C1. Obtain the corresponding outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor light data, and installation location data of the air - source heat pump; C2. Generate environmental data according to the outdoor air temperature data, outdoor humidity data, outdoor wind speed data, outdoor light data, and installation location data; C3. Generate the corresponding environmental feature data according to the environmental data through a preset feature extraction algorithm; C4. Generate the corresponding recognized defrosting operation duration through a preset defrosting duration prediction model based on the defrosting degree value and environmental characteristic data; C5. Calculate the corresponding estimated defrosting operation duration according to the recognized defrosting operation duration and a preset correction coefficient.

6. The air source heat pump control method according to claim 5, characterized in that Further includes the following steps for training the defrosting duration prediction model: D1. During the heat exchanger defrosting operation of multiple air source heat pumps, obtain the corresponding environmental data and define it as defrosting environmental data; D2. After the heat exchanger defrosting operation of each air source heat pump is completed, obtain the corresponding actual defrosting duration; D3. Calculate the corresponding average defrosting environmental data by taking the mean of the defrosting environmental data, and define the corresponding actual defrosting duration as the defrosting duration label value; D4. Generate the corresponding defrosting duration sample label pair according to the combination of the average defrosting environmental data and the corresponding defrosting duration label value; D5. Generate the corresponding defrosting duration training data according to the combination of all defrosting duration sample label pairs; D6. Train the corresponding machine learning model according to the defrosting duration training data to generate the defrosting duration prediction model.

7. The air energy heat pump control method according to claim 6, characterized in that Further includes the following steps to determine the defrosting threshold: E1. Obtain the current heating condition of the air source heat pump; E2. Under the current heating condition, obtain the current condition heat exchanger image data of the air source heat pump according to a preset data time window, and collect the corresponding coefficient of performance value; E3. Identify and generate the corresponding current condition frosting degree value according to each current condition heat exchanger image data through a frosting degree identification model; E4. Calculate the corresponding correlation coefficient according to all the current condition frosting degree values and the corresponding coefficient of performance values; E5. If the correlation coefficient is less than a preset coefficient of performance influence threshold, calculate the average current condition frosting degree by taking the mean of all the current condition frosting degree values and define it as the defrosting threshold.

8. An air source heat pump control system, characterized in that, Includes: Heating module; Heat exchanger module; Defrosting module; Image acquisition module; Environmental data acquisition module; Data processing module; Wherein, the heating module, the heat exchanger module, the defrosting module, the image acquisition module and the environmental data acquisition module are respectively connected to the data processing module through data; Wherein, the air source heat pump control system further includes a defrosting control strategy, including the following steps: F1. When the heating module is heating, obtain the heat exchanger image data of the heat exchanger module through the image acquisition module; F2. The data processing module identifies and generates the corresponding frosting degree value according to the heat exchanger image data through a pre-trained frosting degree identification model; F3. If the frosting degree value is greater than a preset defrosting threshold, obtain the corresponding environmental data through the environmental data acquisition module; F4. Calculate the corresponding defrosting degree value by taking the difference between the frosting degree value and a preset defrosting end threshold; F5. Determine the corresponding estimated defrosting operation duration according to the defrosting degree value and the environmental data through a preset defrosting operation duration prediction method; F6. Perform the heat exchanger defrosting operation through the defrosting module within the estimated defrosting operation duration.

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