Air conditioner defrosting control method, air conditioner and storage medium

Abstract

The application provides an air conditioner defrosting control method, an air conditioner and a storage medium. The method comprises the following steps: when it is confirmed that the air conditioner needs to enter a defrosting state, a current human body heat demand index in a room is obtained, and a temperature difference between a current room temperature and a set temperature is obtained; the human body heat demand index and the temperature difference are converted into a human body heat demand dynamic compensation ratio; a frost layer thickness grade of each sub heat exchanger surface is obtained, a corresponding residual heat shunt ratio of the sub heat exchanger is determined according to the frost layer thickness grade and the human body heat demand dynamic compensation ratio, an opening degree of a control valve corresponding to the sub heat exchanger is determined according to a range in which the residual heat shunt ratio is located, and defrosting operation is performed according to the opening degree of the control valve. The air conditioner defrosting control method provided by the application can consider human body heat demand, improve thermal comfort, improve defrosting control precision and reduce energy consumption.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, specifically to an air conditioning defrosting control method, an air conditioner using the air conditioning defrosting control method, and a computer-readable storage medium using the air conditioning defrosting control method. Background Technology

[0002] When an air source heat pump air conditioning system is operating in heating mode during winter, the surface of the outdoor heat exchanger is prone to frost formation due to the low temperature and high humidity environment. This severely affects heat exchange efficiency, leading to a decrease in heating capacity, reduced energy efficiency, and even system shutdown. To maintain heating performance, the air conditioner needs to perform a defrosting operation periodically, which involves introducing heat to remove the frost layer on the heat exchanger surface.

[0003] However, traditional defrosting technology has the following problems: ① Low defrosting efficiency. Most systems use methods such as complete system shutdown and forced reverse heating for defrosting, and the defrosting time is generally more than 10 minutes, which seriously affects the continuity of heating; ② High energy consumption. The high frequency of compressor operation results in a large proportion of energy consumption during the defrosting stage; ③ Poor user comfort. During the defrosting period, indoor heating is interrupted and the room temperature drops, resulting in a significant decrease in the user experience (especially for sensitive groups).

[0004] To address the aforementioned issues, existing technologies propose non-stop defrosting solutions, such as using intermittent overheat control to heat specific areas of the outdoor heat exchanger, achieving partial heating operation. However, these solutions still have significant drawbacks: a single heat source leads to uneven distribution; they only control the outdoor side, failing to consider indoor user needs and indoor thermal balance, resulting in large room temperature fluctuations; and they lack control over the actual heat load response capability, making personalized comfort control impossible.

[0005] Therefore, there is an urgent need for a more optimized defrosting control method for air conditioners. Summary of the Invention

[0006] The primary objective of this invention is to provide an air conditioning defrosting control method that takes into account human thermal needs, improves thermal comfort, enhances defrosting control precision, and reduces energy consumption.

[0007] The second objective of this invention is to provide an air conditioner that takes into account the human body's thermal needs, improves thermal comfort, and simultaneously enhances defrosting control precision while reducing energy consumption.

[0008] A third objective of this invention is to provide a computer-readable storage medium that takes into account human thermal needs, improves thermal comfort, enhances defrosting control precision, and reduces energy consumption.

[0009] To achieve the aforementioned first objective, the air conditioning defrosting control method provided by the present invention includes: when it is confirmed that the air conditioner needs to enter the defrosting state, obtaining the current indoor human heat demand index and obtaining the temperature difference between the current indoor temperature and the set temperature; converting the human heat demand index and the temperature difference into a human heat demand dynamic compensation ratio; obtaining the frost thickness level on the surface of each sub-heat exchanger, determining the waste heat diversion ratio corresponding to the sub-heat exchanger according to the frost thickness level and the human heat demand dynamic compensation ratio, determining the opening degree of the control valve corresponding to the sub-heat exchanger according to the range of the waste heat diversion ratio; and performing defrosting operation according to the opening degree of the control valve.

[0010] As can be seen from the above scheme, the air conditioning defrosting control method of the present invention dynamically generates a compensation ratio by acquiring the human body heat demand index and the indoor temperature difference. This ensures indoor heating comfort during the defrosting process by considering both the subjective heat demand of the actual human body indoors and the objective temperature control correction based on the actual indoor temperature deviation. Simultaneously, the outdoor heat exchanger is divided into multiple independent sub-heat exchanger zones. The waste heat diversion ratio of each zone is jointly determined by the human body heat demand compensation ratio and the frost level. This avoids the drawbacks of incomplete defrosting and redundant heat waste in some areas that exist in traditional overall defrosting, improving defrosting uniformity and defrosting rate while reducing defrosting energy consumption.

[0011] In a further proposed solution, the steps for obtaining the current indoor human heat demand index include: determining whether there is a human target in the current indoor space; if so, obtaining heat demand-related parameters that affect human heat demand; and using a preset model to predict the heat demand-related parameters to generate the human heat demand index.

[0012] Therefore, when there are human targets indoors, thermal demand parameters are collected, and a preset model is used to predict the human thermal demand index, so that the generated human thermal demand index is more in line with the actual thermal comfort needs of users.

[0013] In a further proposed solution, when detecting whether there is a human target in the current indoor space, if no human target is found, the preset heat demand index will be used as the human heat demand index.

[0014] Therefore, when no human target is detected indoors, the preset fixed heat demand index is directly used for assignment, without the need to call the preset model for complex feature reasoning and calculation, which reduces the computing power consumption of the air conditioning main control and preset model calculation unit and reduces the power consumption of the equipment.

[0015] In a further scheme, the dynamic compensation ratio of human body heat demand is obtained by the following formula: Y=50×[tanh(k×(α×∣ΔT∣ / 5+β×X / 10))+1]; where Y is the dynamic compensation ratio of body heat demand, tanh is the hyperbolic tangent function, k is the preset adjustment coefficient, ΔT is the temperature difference, X is the human body heat demand index, α is the attention factor of the temperature difference, and β is the attention factor of the human body heat demand index.

[0016] Therefore, by setting attention factor weighting, an intelligent balance between temperature deviation and human body heat demand can be achieved. At the same time, the accuracy of the dynamic compensation ratio of human body heat demand can be improved by using hyperbolic tangent function nonlinear calculation.

[0017] In a further proposed scheme, the attention factor of temperature difference and the attention factor of human heat demand index are dynamically adjusted based on the absolute value of temperature difference; the attention factor of temperature difference is positively correlated with the absolute value of temperature difference.

[0018] It can be seen that the attention factor of temperature difference and the attention factor of human body heat demand index are dynamically adjusted in real time according to the absolute value of indoor temperature difference. They can automatically switch the control focus according to the degree of indoor deviation from the set temperature. When the temperature deviation is large, the temperature control accuracy is given priority. When the temperature deviation is close to the set value, the actual heat demand of the human body is given priority.

[0019] In a further proposed scheme, the waste heat diversion ratio is obtained by the following formula: D i =w y ×Y+w s ×S i , where D i S represents the waste heat diversion ratio, Y represents the dynamic compensation ratio for human body heat demand, and S represents the waste heat diversion ratio. i For frost thickness grades, w y and w s Preset weights.

[0020] Therefore, by generating the waste heat distribution ratio of each sub-heat exchanger based on different frost layer levels and waste heat distribution ratios, the defects of incomplete local defrosting and redundant heat waste in some areas that exist in the traditional overall defrosting method are avoided. This improves the uniformity and efficiency of defrosting in each zone of the heat exchanger, while reducing the ineffective energy consumption during the defrosting stage.

[0021] In a further embodiment, each sub-heat exchanger area is also equipped with a fan; when performing defrosting operation according to the opening of the control valve, the process also includes: determining the fan speed of the fan corresponding to the sub-heat exchanger based on the waste heat diversion ratio; and controlling the operation of the corresponding fan based on the fan speed.

[0022] Therefore, it can be seen that the fan speed is adaptively matched according to the waste heat diversion ratio of the sub-heat exchanger, and the waste heat distribution ratio determines the wind speed. The wind speed assists in defrosting and heat exchange, improves the defrosting efficiency of the outdoor heat exchanger, and avoids the problems of uneven defrosting speed and incomplete defrosting in different areas.

[0023] In a further embodiment, after performing the defrosting operation based on the opening degree of the control valve, the method further includes: if the rate at which the frost thickness decreases in any sub-heat exchanger is less than a preset rate, then increasing the opening degree of the control valve corresponding to that sub-heat exchanger by a first preset amount.

[0024] Therefore, by monitoring the rate of frost reduction in each sub-heat exchanger in real time, when the rate of frost reduction is lower than the preset rate, the opening of the corresponding control valve is increased by the first preset amount to correct the problem of slow defrosting caused by insufficient waste heat supply in a timely manner, ensuring that each sub-heat exchanger can be completely defrosted and maintaining the continuous and efficient heat exchange capacity of the heat exchanger.

[0025] In a further scheme, after performing the defrosting operation based on the opening of the control valve, the scheme further includes: when the dynamic compensation ratio for human body heat demand is greater than the first preset compensation ratio, predicting the decrease in the heat exchange capacity of the indoor heat exchanger within a preset time period in the future; if the decrease is greater than the second preset range, then the dynamic compensation ratio for human body heat demand is increased by a third preset range.

[0026] Therefore, when the dynamic compensation ratio of human body heat demand is high and users have a strong demand for thermal comfort, the decrease in the heat exchange capacity of the indoor heat exchanger can be predicted in advance within a preset time period. When the decrease exceeds the second preset range and the heating capacity is significantly reduced, the dynamic compensation ratio of human body heat demand can be adaptively increased by the third preset range to offset the reduction in indoor heating capacity caused by defrosting and avoid a significant drop in room temperature.

[0027] In a further embodiment, after performing the defrosting operation based on the opening degree of the control valve, the method further includes: if the human body heat demand index continues to rise within a first preset time period after the defrosting operation, the human body heat demand dynamic compensation ratio is increased by a fourth preset amount.

[0028] Therefore, it can be seen that within the first preset time after defrosting operation, the change trend of the human body heat demand index is continuously monitored. When the heat demand index continues to rise, the fourth preset range is automatically added to the dynamic compensation ratio of human body heat demand, which can be adjusted in real time according to the heat demand of the human body.

[0029] In a further proposed solution, after performing the defrosting operation based on the opening degree of the control valve, the solution further includes: determining the indoor fan speed based on the range of the dynamic compensation ratio of human body heat demand, wherein the indoor fan speed is positively correlated with the dynamic compensation ratio of human body heat demand; and controlling the operation of the indoor fan based on the indoor fan speed.

[0030] This demonstrates that the indoor fan speed is directly matched to the dynamic compensation ratio of human body heat demand within a range, and there is a positive correlation between the indoor fan speed and the dynamic compensation ratio. When the dynamic compensation ratio of human body heat demand is high, the indoor fan speed is increased accordingly to accelerate indoor air convection and circulation, quickly dissipating the compensated heat into the indoor space to meet the human body's high-temperature comfort needs. When the dynamic compensation ratio of human body heat demand is low, the indoor fan speed is reduced to decrease the airflow from the low-temperature indoor heat exchanger, avoiding the discomfort caused by cold air blowing directly from the indoor unit coil at low temperatures during defrosting, thus improving indoor comfort throughout the defrosting process.

[0031] To achieve the second objective of the present invention, the present invention provides an air conditioner including a processor and a memory, the memory storing a computer program, which, when executed by the processor, implements the steps of the above-described air conditioner defrosting control method.

[0032] To achieve the third objective of the present invention, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a controller, implements the steps of the above-described air conditioning defrosting control method. Attached Figure Description

[0033] Figure 1 This is a partial structural schematic diagram of an air conditioner using the defrosting control method of the present invention.

[0034] Figure 2 This is a schematic diagram of the distribution of frost layer thickness sensors in an air conditioner using the defrosting control method of the present invention.

[0035] Figure 3 This is a system block diagram of an air conditioner using the defrosting control method of the present invention.

[0036] Figure 4 This is a flowchart of an embodiment of the air conditioning defrosting control method of the present invention.

[0037] Figure 5 This is a flowchart illustrating the defrosting operation performed according to the opening degree of the control valve in an embodiment of the air conditioning defrosting control method of the present invention.

[0038] Figure 6 This is a flowchart illustrating the defrosting operation performed according to the opening degree of the control valve in an embodiment of the air conditioning defrosting control method of the present invention.

[0039] Figure 7 This is a flowchart illustrating the defrosting operation performed according to the opening degree of the control valve in an embodiment of the air conditioning defrosting control method of the present invention.

[0040] Figure 8 This is a flowchart illustrating the defrosting operation performed according to the opening degree of the control valve in an embodiment of the air conditioning defrosting control method of the present invention.

[0041] Figure 9 This is a flowchart illustrating the defrosting operation performed according to the opening degree of the control valve in an embodiment of the air conditioning defrosting control method of the present invention.

[0042] Figure 10 This is a flowchart illustrating the defrosting operation performed according to the opening degree of the control valve in an embodiment of the air conditioning defrosting control method of the present invention.

[0043] The present invention will be further described below with reference to the accompanying drawings and embodiments. Detailed Implementation

[0044] Various exemplary embodiments of the invention will now be described in detail with reference to the accompanying drawings. The descriptions of the exemplary embodiments are merely illustrative and are in no way intended to limit the invention or its application or use. The invention can be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the invention thorough and complete, and to fully express the scope of the invention to those skilled in the art. It should be noted that, unless otherwise specifically stated, the relative arrangement of components and steps, the composition of materials, numerical expressions, and values ​​set forth in these embodiments should be interpreted as merely exemplary and not as limiting.

[0045] The terms "first," "second," and similar words used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different parts. Words such as "including" or "comprising" mean that the element preceding the word encompasses the element listed after it, without excluding the possibility of encompassing other elements. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0046] In this invention, when a specific device is described as being located between a first device and a second device, an intermediary device may or may not be present between the specific device and the first or second device. When a specific device is described as being connected to other devices, the specific device may be directly connected to the other devices without an intermediary device, or it may be not directly connected to the other devices but have an intermediary device.

[0047] All terms used in this invention (including technical or scientific terms) have the same meaning as understood by one of ordinary skill in the art, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art, and not as having an idealized or highly formalized meaning, unless expressly defined herein.

[0048] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0049] Example of an air conditioner defrosting control method: The defrosting control method of the present invention is an application program used in air conditioners for defrosting control when the air conditioner is heating.

[0050] See Figure 1 In this embodiment, the air conditioner includes a compressor 1 and an outdoor heat exchanger (not shown), with the compressor 1 connected to the outdoor heat exchanger. The outdoor heat exchanger includes at least two sub-heat exchangers 2, which are connected in parallel on a heat exchange circuit. Each sub-heat exchanger 2 has its refrigerant flow individually controlled by a control valve 3. In this embodiment, each control valve 3 is connected to the compressor 1 through a main control valve 4. The control valves 3 and the main control valve 4 can be three-way valves or electronic expansion valves.

[0051] See Figure 2 Each sub-heat exchanger 2 is equipped with a frost thickness sensor 5 for detecting the thickness of the frost layer on its surface. Each frost thickness sensor 5 detects the frost thickness of a specific area of ​​the sub-heat exchanger 2. The frost thickness sensor 5 can be a known type of frost thickness sensor, which will not be described in detail here.

[0052] Depend on Figure 1 It can be seen that each sub-heat exchanger 2 is also equipped with a fan 6 in its corresponding area, and each fan 6 blows air to a corresponding sub-heat exchanger 2.

[0053] See Figure 3 In this embodiment, the air conditioner also includes an air conditioning main control module 10, an indoor sensing unit 20, an outdoor sensing unit 30, and a compressor sensing unit 40. The indoor sensing unit 20, the outdoor sensing unit 30, and the compressor sensing unit 40 are all electrically connected to the air conditioning main control module 10.

[0054] The indoor sensing unit 20 is equipped with a set of temperature and humidity sensors (not shown) and wind speed sensors (not shown) at the air return vent of the indoor unit of the air conditioner and in the main areas of human activity (such as the table and chair area and the bedroom bed area). An infrared millimeter-wave radar fusion sensor (not shown) is also installed on the body of the indoor unit. The infrared millimeter-wave radar fusion sensor can be used to detect the presence of human beings and to classify the intensity of human activity, such as stillness, light activity, and heavy activity. It can be determined by the amplitude of limb movements and the speed of movement. The use of infrared millimeter-wave radar fusion sensor is a well-known technology to those skilled in the art and will not be described in detail here. For example, when using infrared millimeter-wave radar fusion sensors to detect the intensity of human activity, features are extracted from the human movement speed v and the amplitude of movement A, and classified according to the following standards: Level 1: stationary state (v < 0.1 m / s; A < 5 cm; or the rate of change of the infrared thermal imaging area < 5%), typical scenarios include: sleeping, sitting still, etc.; Level 2: light activity (0.1 m / s ≤ v < 0.5 m / s; 5 cm ≤ A < 50 cm; or the rate of change of the thermal imaging area is between 5% and 20%), typical scenarios include: slow indoor walking, light stretching, etc.; Level 3: heavy activity (v ≥ 0.5 m / s; A ≥ 50 cm; or the rate of change of the infrared thermal imaging area > 20%), typical scenarios include: indoor exercise, fast walking, lifting heavy objects, etc.

[0055] The outdoor sensing unit 30 includes a frost thickness sensor 5 and a temperature sensor. The sensors are installed close to the surface of the heat exchanger fins to avoid airflow interference. The outdoor sensing data is uploaded to the air conditioning main control module 10 in real time at a frequency of 300ms / time.

[0056] The compressor sensing unit 40 includes a high-temperature resistant temperature sensor (not shown) and a pressure sensor (not shown) installed near the exhaust port of the compressor 1 to collect compressor exhaust temperature and pressure data and upload them to the air conditioning main control module 10 in real time at a frequency of 200ms / time.

[0057] In this embodiment, see Figure 4 When the air conditioner defrosting control method is in operation, it first executes step S1 to determine whether the air conditioner needs to enter the defrosting state. During heating operation, the outdoor heat exchanger of the outdoor unit is prone to frost buildup. To ensure the heat exchange efficiency of the outdoor heat exchanger, it is necessary to assess the frost condition and enter the defrosting state when the frost reaches the required defrosting threshold. Determining whether the air conditioner needs to enter the defrosting state can employ techniques known to those skilled in the art, which will not be elaborated upon here. For example, the frost thickness can be detected by a frost thickness sensor 5; when the frost thickness reaches a preset frost thickness, it is confirmed that defrosting operation is required.

[0058] When it is confirmed that the air conditioner needs to enter defrost mode, step S2 is executed to obtain the current indoor human thermal demand index and the temperature difference between the current indoor temperature and the set temperature. In order to fully consider the thermal demand of indoor users during defrost, it is necessary to obtain the current indoor human thermal demand index and the temperature difference between the current indoor temperature and the set temperature in order to compensate for defrost.

[0059] In this embodiment, see Figure 5 When obtaining the current indoor human thermal demand index, step S11 is first executed to determine whether there is a human target in the room. Human targets can be detected using an infrared millimeter-wave radar fusion sensor.

[0060] If a human body is present indoors, step S12 is executed to obtain heat demand-related parameters affecting the human body's heat demand. In this embodiment, heat demand-related parameters include indoor temperature, indoor humidity, human activity intensity, number of people, and indoor air velocity.

[0061] After obtaining the relevant parameters of heat demand, step S13 is executed to predict the relevant parameters of heat demand using a preset model and generate a human heat demand index. When there is a human target indoors, heat demand parameters are collected, and the human heat demand index is predicted using a preset model, so that the generated human heat demand index is more in line with the user's actual thermal comfort needs.

[0062] The preset model can be trained using a lightweight edge AI model. It uses the human body heat demand index as the core input feature and as the output label. It collects n sets of sample data under different environments and human body conditions to form a training dataset. A lightweight neural network model is selected, and the model is trained using gradient descent and regularization. After training, the model's heat demand index inference accuracy is ≥95%. The trained model is then lightweighted, compressed, and deployed to the air conditioning main control module 10. The air conditioning main control module 10 inputs the acquired heat demand-related parameters into the deployed AI model and outputs the human body heat demand index in real time. The index ranges from 0 to 10, and the value is positively correlated with the actual human body heat demand. In addition, the air conditioning main control module 10 can also incorporate an edge learning unit. During daily operation, it continuously collects user data on manual adjustments to the air conditioning temperature and fan speed as actual feedback on human body heat demand. This data is then used as new samples for lightweight online iterative optimization of the AI ​​model, ensuring the model's adaptability to user comfort.

[0063] When detecting whether a human target exists indoors, if no human target is found, step S14 is executed, and a preset heat demand index is used as the human heat demand index. The preset heat demand index can be preset based on experimental data. When no human target is detected indoors, the preset fixed heat demand index is directly used for assignment, without the need to call the AI ​​model for complex feature inference and calculation, reducing the computing power consumption of the air conditioning main control and AI computing unit, and reducing the power consumption of the equipment.

[0064] After obtaining the current indoor human heat demand index and the temperature difference between the current indoor temperature and the set temperature, step S3 is executed to convert the human heat demand index and temperature difference into a dynamic compensation ratio for human heat demand. In order to simultaneously respond to both subjective human heat demand and objective temperature deviation, it is necessary to convert the human heat demand index and temperature difference into a dynamic compensation ratio for human heat demand.

[0065] In this embodiment, the dynamic compensation ratio for human body heat demand is obtained by the following formula: Y=50×[tanh(k×(α×∣ΔT∣ / 5+β×X / 10))+1]; where Y is the dynamic compensation ratio for human body heat demand (Y, 0≤Y≤100%), tanh is the hyperbolic tangent function with an output range of [-1,1], k is a preset adjustment coefficient with a value of 2.5, ΔT is the temperature difference, X is the human body heat demand index (X, 0≤X≤10), α is the attention factor of the temperature difference, β is the attention factor of the human body heat demand index, and α+β=1. By setting the attention factor weighting, an intelligent balance between temperature deviation and human body heat demand can be achieved. At the same time, the accuracy of the dynamic compensation ratio for human body heat demand is improved by using the hyperbolic tangent function for nonlinear calculation.

[0066] In this embodiment, the attention factor for temperature difference and the attention factor for human heat demand index are dynamically adjusted based on the absolute value of the temperature difference; the attention factor for temperature difference is positively correlated with the absolute value of the temperature difference. The attention factors for temperature difference and human heat demand index are dynamically adjusted in real time based on the absolute value of the indoor temperature difference, and can autonomously switch control priorities according to the degree of indoor temperature deviation from the set temperature. When the temperature deviation is large, priority is given to temperature control accuracy; when the temperature deviation is close to the set value, priority is given to matching the actual human heat demand. For example, when |ΔT|≥2℃, the indoor temperature deviates significantly from the set temperature, then α=0.6 and β=0.4, prioritizing adaptation to the temperature deviation; when |ΔT|<2℃, the indoor temperature is close to the set temperature, then α=0.3 and β=0.7, prioritizing adaptation to the human heat demand index.

[0067] After obtaining the dynamic compensation ratio for human body heat demand, step S4 is executed to obtain the frost thickness level on the surface of each sub-heat exchanger 2. Based on the frost thickness level and the dynamic compensation ratio for human body heat demand, the waste heat distribution ratio corresponding to sub-heat exchanger 2 is determined. The opening degree of the control valve 3 corresponding to sub-heat exchanger 2 is determined based on the range of the waste heat distribution ratio. To balance the defrosting needs of each sub-heat exchanger with the heating needs of the people in the room, waste heat needs to be distributed using the frost level and the heat demand compensation ratio. The waste heat distribution ratio is then converted into the opening degree of the control valve, achieving differentiated and precise defrosting by zone. This ensures uniform and thorough defrosting of each sub-heat exchanger while effectively maintaining indoor thermal comfort during the defrosting process.

[0068] The frost thickness level can be determined by the frost thickness sensor 5. For example, the frost thickness level can be divided into: thick frost level (frost thickness ≥ 4 mm), medium frost level (2 mm ≤ frost thickness < 4 mm), thin frost level (0.2 mm ≤ frost thickness < 2 mm), and no frost level (frost thickness < 0.2 mm).

[0069] In this embodiment, the waste heat diversion ratio is obtained by the following formula: D i =w y ×Y+w s ×S i , where D i S represents the waste heat diversion ratio, Y represents the dynamic compensation ratio for human body heat demand, and S represents the waste heat diversion ratio. i Frost thickness rating (Thick Frost Rating S) i =1, Medium Frost Level S i =0.5, Light Cream Grade S i =0), w y and w s For the preset weights, w y +w s =1, weight w y and w s It can be dynamically adjusted; when the ratio of dynamic compensation for human body heat demand changes rapidly, the weight w y Increase. Based on different frost level and waste heat diversion ratio, the waste heat diversion ratio of each sub-heat exchanger 2 is generated, avoiding the defects of incomplete local defrosting and redundant heat waste in some areas that exist in the traditional overall defrosting method, improving the defrosting uniformity and defrosting efficiency of each zone of the heat exchanger, while reducing the ineffective energy consumption during the defrosting stage.

[0070] After obtaining the waste heat diversion ratio, the opening degree of the control valve 3 corresponding to the sub-heat exchanger 2 can be determined according to the range of the waste heat diversion ratio. For example, the relationship between the waste heat diversion ratio, the opening degree of control valve 3, and the opening degree of the main control valve 4 is shown in the table below:

[0071] After determining the opening degree of the control valve 3 corresponding to sub-heat exchanger 2, step S5 is executed to perform a defrosting operation based on the opening degree of the control valve 3. By determining the opening degree of each control valve 3, defrosting operations are performed on each sub-heat exchanger 2 separately.

[0072] In this embodiment, see Figure 6 During defrosting based on the opening of control valve 3, step S21 is also executed to determine the fan speed of the fan 6 corresponding to the sub-heat exchanger 2 based on the waste heat diversion ratio. To achieve assisted defrosting with fan 6 and match the fan speed of fan 6 to the waste heat diversion ratio, the fan speed of fan 6 corresponding to the sub-heat exchanger 2 needs to be determined based on the range of the waste heat diversion ratio. The fan speed of fan 6 can be obtained through a pre-set relationship table between fan speed and waste heat diversion ratio. For example, when the waste heat diversion ratio is ≥80%, the fan speed of fan 6 is 2800 r / min; when the waste heat diversion ratio is ≤50%, the fan speed of fan 6 is 1000 r / min.

[0073] After obtaining the fan speed of the fan 6, step S22 is executed to control the operation of the corresponding fan according to the fan speed. The corresponding fan speed is adaptively matched according to the waste heat distribution ratio of the sub-heat exchanger 2, and the waste heat distribution ratio determines the wind speed. The wind speed assists in defrosting and heat exchange, improves the defrosting efficiency of the outdoor heat exchanger, and avoids the problems of uneven defrosting speed and incomplete defrosting in different areas.

[0074] In an optional embodiment, the waste heat diversion ratio can also be adjusted according to the fan speed of the fan 6. For example, when the fan speed of the fan 6 is ≥2500 r / min, the waste heat diversion ratio is increased by 5%. When the fan speed of the fan 6 is ≤1200 r / min, the waste heat diversion ratio is decreased by 5%.

[0075] In this embodiment, see Figure 7 After performing the defrosting operation according to the opening degree of control valve 3, step S31 is executed to determine whether the rate of frost thickness reduction of any sub-heat exchanger 2 is less than a preset rate. The preset rate can be set in advance based on experimental data, for example, the preset rate is 0.1 mm / s.

[0076] If the rate of frost reduction in any sub-heat exchanger 2 is less than a preset rate, step S32 is executed, increasing the opening of the control valve 3 corresponding to that sub-heat exchanger 2 by a first preset amount. The first preset amount can be preset based on experimental data, for example, 5%-10%. By monitoring the rate of frost reduction in each sub-heat exchanger 2 in real time, when the rate of frost reduction is lower than the preset rate, the opening of the corresponding control valve 3 is increased by the first preset amount. This promptly corrects the slow defrosting problem caused by insufficient waste heat supply, ensuring that each sub-heat exchanger 2 can be completely defrosted and maintaining the heat exchanger's continuous and efficient heat exchange capacity.

[0077] In this embodiment, see Figure 8 After performing defrosting based on the opening degree of control valve 3, step S41 is executed to determine whether the dynamic compensation ratio for human body heat demand is greater than the first preset compensation ratio. The first preset compensation ratio can be preset based on experimental data; for example, the first preset compensation ratio is 70%.

[0078] When the dynamic compensation ratio for human body heat demand exceeds the first preset compensation ratio, step S42 is executed to predict the decrease in the heat exchange capacity of the indoor heat exchanger within a preset future duration. The preset future duration can be pre-set based on experimental data; for example, a preset duration of 30 seconds. To predict the decrease in the heat exchange capacity of the indoor heat exchanger within the preset future duration, the temperature of the indoor heat exchanger coils is collected within the first 5 seconds after defrosting begins. The average temperature decrease rate during this period is calculated, and this rate is multiplied by the preset future duration to obtain the temperature decrease. Based on the pre-set correspondence table between the temperature decrease and the heat exchange capacity attenuation ratio, the decrease in heat exchange capacity can be determined. For example, the correspondence table between the temperature decrease and the heat exchange capacity attenuation ratio is shown below:

[0079] After predicting the decrease in the heat exchange capacity of the indoor heat exchanger over a preset period of time, step S43 is executed to determine whether the decrease is greater than a second preset range. The second preset range can be preset based on experimental data; for example, the second preset range is 15%.

[0080] If the decrease exceeds the second preset range, step S44 is executed, increasing the dynamic compensation ratio for human body heat demand by a third preset range. The third preset range can be pre-set based on experimental data; for example, it can be 1.2 times the current dynamic compensation ratio for human body heat demand. When the dynamic compensation ratio for human body heat demand is high and users have strong thermal comfort requirements, the decrease in the heat exchanger's capacity within a preset time period is predicted in advance. If the decrease exceeds the second preset range and heating capacity reduction is significant, the dynamic compensation ratio for human body heat demand is adaptively increased by the third preset range, and compensation can be initiated 10 seconds earlier to offset the indoor heating capacity reduction caused by defrosting and prevent a significant drop in room temperature.

[0081] In this embodiment, see Figure 9 After performing the defrosting operation according to the opening degree of control valve 3, step S51 is further executed to determine whether the human body heat demand index is in a state of continuous increase within a first preset time period after the defrosting operation. The first preset time period can be preset according to experimental data, for example, the first preset time period is 10s.

[0082] If the human body heat demand index continues to rise within the first preset time period after the defrosting operation, step S52 is executed, and the dynamic compensation ratio for human body heat demand is increased by a fourth preset amount. This fourth preset amount can be preset based on experimental data; for example, it can be 5%-10%. During the first preset time period after defrosting, the trend of the human body heat demand index is continuously monitored. When the heat demand index continues to rise, the fourth preset amount is automatically added to the dynamic compensation ratio for human body heat demand, enabling real-time adjustment based on the body's heat demand and achieving delayed compensation.

[0083] In this embodiment, see Figure 10 After performing the defrosting operation based on the opening degree of control valve 3, step S61 is executed to determine the indoor fan speed based on the range of the dynamic compensation ratio for human body heat demand. The indoor fan speed is positively correlated with the dynamic compensation ratio for human body heat demand. The indoor fan speed can be obtained by referring to a table. For example, if the dynamic compensation ratio for human body heat demand is ≥70%, the indoor fan speed is 1200-1500 r / min to accelerate indoor air circulation, improve heat exchange efficiency, and quickly meet human body heat demand; if the dynamic compensation ratio for human body heat demand is ≤30%, the indoor fan speed is 500-800 r / min to avoid direct cold air blowing and improve comfort; if the dynamic compensation ratio for human body heat demand is between 30% and 70%, the indoor fan speed operates at a base speed of 800-1200 r / min.

[0084] After determining the indoor fan speed, step S62 is executed to control the indoor fan operation based on the indoor fan speed. The indoor fan speed is directly matched to the dynamic compensation ratio of human body heat demand within a range, and the indoor fan speed is positively correlated with the dynamic compensation ratio of human body heat demand. When the dynamic compensation ratio of human body heat demand is high, the indoor fan speed is increased accordingly to accelerate indoor air convection and circulation, quickly dissipating the compensated heat into the indoor space to meet the high-temperature comfort needs of the human body. When the dynamic compensation ratio of human body heat demand is low, the indoor fan speed is reduced to decrease the air volume of the low-temperature indoor heat exchanger, avoiding the discomfort of cold air blowing directly from the indoor unit coil temperature and the chill caused by high-speed air supply during defrosting, thus improving indoor comfort throughout the defrosting process.

[0085] In an optional embodiment, after performing the defrosting operation according to the opening of the control valve 3, the exhaust pressure difference of the sub-heat exchanger 2 can also be monitored by a pressure sensor. If the pressure difference is abnormal, it is determined that the waste heat is not effectively diverted, and the opening of the corresponding control valve 3 of the sub-heat exchanger 2 is automatically increased by 3%-5%.

[0086] As described above, the air conditioning defrosting control method of the present invention obtains the human body heat demand index and the indoor temperature difference, and dynamically generates a compensation ratio using a preset hyperbolic tangent fusion attention dynamic mapping model. This method not only considers the subjective heat demand of the actual human body indoors but also makes objective temperature control corrections based on the actual indoor temperature deviation, ensuring indoor heating comfort during the defrosting process. Simultaneously, the outdoor heat exchanger is divided into multiple independent sub-heat exchangers 2. The waste heat diversion ratio of each zone is jointly determined by the human body heat demand compensation ratio and the frost level, avoiding the drawbacks of incomplete defrosting and redundant heat waste in some areas inherent in traditional overall defrosting. This improves defrosting uniformity and defrosting rate while reducing defrosting energy consumption.

[0087] Air conditioner example: The air conditioner in this embodiment includes a controller, which executes the steps in the above-described air conditioner defrosting control method embodiment when executing a computer program.

[0088] For example, a computer program can be divided into one or more modules, one or more of which are stored in memory and executed by a controller to complete the present invention. One or more modules can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in an air conditioner.

[0089] An air conditioner may include, but is not limited to, a controller and a memory. Those skilled in the art will understand that an air conditioner may include more or fewer components, or a combination of certain components, or different components; for example, an air conditioner may also include input / output devices, network access devices, buses, etc.

[0090] For example, the controller can be a Central Processing Unit (CPU), or other general-purpose controllers, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose controller can be a microcontroller or any conventional controller. The controller is the control center of the air conditioner, connecting all parts of the air conditioner through various interfaces and lines.

[0091] The memory can be used to store computer programs and / or modules. The controller implements various functions of the air conditioner by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. For example, the memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound receiving function, sound-to-text function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, text data, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0092] Examples of computer-readable storage media: If the modules integrated into the air conditioner in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above air conditioner defrosting control method embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a controller, it can implement the steps of the above air conditioner defrosting control method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The storage medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0093] It should be noted that the above are only preferred embodiments of the present invention, but the design concept of the invention is not limited thereto. Any non-substantial modifications made to the present invention using this concept also fall within the protection scope of the present invention.

Claims

1. An air conditioner defrosting control method, applied to an air conditioner, characterized in that: The outdoor heat exchanger of the air conditioner includes at least two sub-heat exchangers, and the at least two sub-heat exchangers are connected in parallel on the heat exchange circuit. Each sub-heat exchanger controls the refrigerant flow rate individually through a control valve. The method includes: When it is confirmed that the air conditioner needs to enter the defrosting state, the current indoor human heat demand index is obtained, and the temperature difference between the current indoor temperature and the set temperature is obtained. The human body heat demand index and the temperature difference are converted into a dynamic compensation ratio for human body heat demand. The frost thickness level of each of the sub-heat exchangers is obtained. The waste heat diversion ratio corresponding to the sub-heat exchanger is determined according to the frost thickness level and the dynamic compensation ratio of human body heat demand. The opening degree of the control valve corresponding to the sub-heat exchanger is determined according to the range of the waste heat diversion ratio. Defrosting is performed according to the opening degree of the control valve.

2. The air conditioning defrosting control method according to claim 1, characterized in that: The steps to obtain the current indoor human heat demand index include: Detect whether there is a human target in the current indoor space; if so, obtain heat demand-related parameters that affect human body heat demand. The human body heat demand index is generated by predicting the heat demand-related parameters using a preset model.

3. The air conditioning defrosting control method according to claim 2, characterized in that: When detecting whether there is a human target in the current indoor space, if there is no human target, the preset heat demand index is used as the human heat demand index.

4. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: The dynamic compensation ratio for human body heat demand is obtained by the following formula: Y=50×[tanh(k×(α×∣ΔT∣ / 5+β×X / 10))+1]; Where Y is the dynamic compensation ratio for body heat demand, tanh is the hyperbolic tangent function, k is the preset adjustment coefficient, ΔT is the temperature difference, X is the human body heat demand index, α is the attention factor of the temperature difference, and β is the attention factor of the human body heat demand index.

5. The air conditioning defrosting control method according to claim 4, characterized in that: The attention factor of the temperature difference and the attention factor of the human body heat demand index are dynamically adjusted according to the absolute value of the temperature difference. The attention factor of the temperature difference is positively correlated with the absolute value of the temperature difference.

6. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: The waste heat diversion ratio is obtained by the following formula: D i =w y ×Y+w s ×S i , Among them, D i Where S is the waste heat diversion ratio, Y is the dynamic compensation ratio for human body heat demand, and S is the waste heat diversion ratio. i w represents the frost thickness level. y and w s Preset weights.

7. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: Each of the sub-heat exchangers is also equipped with a fan in its corresponding area; When performing defrosting operation according to the opening degree of the control valve, it also includes: The fan speed of the fan corresponding to the sub-heat exchanger is determined according to the waste heat diversion ratio; The operation of the corresponding fan is controlled according to the fan speed.

8. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: After performing the defrosting operation according to the opening degree of the control valve, the method further includes: If the rate at which the frost thickness decreases in any of the sub-heat exchangers is less than a preset rate, the opening of the control valve corresponding to that sub-heat exchanger is increased by a first preset amount.

9. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: After performing the defrosting operation according to the opening degree of the control valve, the method further includes: When the dynamic compensation ratio for human body heat demand is greater than the first preset compensation ratio, the decrease in the heat exchange capacity of the indoor heat exchanger within a preset time period is predicted. If the decrease is greater than the second preset range, the dynamic compensation ratio for human body heat demand will increase by a third preset range.

10. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: After performing the defrosting operation according to the opening degree of the control valve, the method further includes: If the human body heat demand index continues to rise within the first preset time period after the defrosting operation, the human body heat demand dynamic compensation ratio will increase by a fourth preset amount.

11. The air conditioning defrosting control method according to any one of claims 1 to 3, characterized in that: After performing the defrosting operation according to the opening degree of the control valve, the method further includes: The indoor fan speed is determined based on the range of the dynamic compensation ratio for human body heat demand, wherein the indoor fan speed is positively correlated with the dynamic compensation ratio for human body heat demand. The operation of the indoor fan is controlled according to the indoor fan speed.

12. An air conditioner, comprising a processor and a memory, characterized in that: The memory stores a computer program that, when executed by the processor, implements the steps of the air conditioning defrosting control method as described in any one of claims 1 to 11.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the controller, it implements the steps of the air conditioning defrosting control method as described in any one of claims 1 to 11.

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