Air conditioner and outdoor unit cleaning control method, device, medium and program product thereof

Abstract

The application provides an air conditioner and a cleaning control method, device, medium and program product of an outdoor unit thereof, and belongs to the field of energy-saving refrigeration and air conditioning equipment. The method comprises the following steps: collecting an outdoor environment parameter and an operating parameter of the air conditioner; determining a current cleaning risk index by using a pre-constructed cleaning risk index quantitative evaluation model according to the collected outdoor environment parameter; determining a current pollution risk level in combination with the operating parameter of the air conditioner according to the determined current cleaning risk index; and performing cleaning of the outdoor unit of the air conditioner according to the determined current pollution risk level. The scheme provided by the application can accurately distinguish the pollution risk level, timely perform outdoor unit cleaning, adapt to various complex outdoor working conditions, improve the heat exchange efficiency of the outdoor unit, thereby reducing the operating energy consumption of the whole machine, and has an energy-saving effect.

Description

Technical Field

[0001] This invention relates to the field of control, and more particularly to an air conditioner and its outdoor unit cleaning control method, device, medium and program product, belonging to energy-saving refrigeration and air conditioning equipment. Background Technology

[0002] Air conditioner outdoor units are exposed to the complex outdoor environment for extended periods. During operation, the heat exchanger fins easily absorb dust, catkins, and suspended particulate matter from the air. Coastal areas are prone to salt spray crystallization, while inland industrial and mining areas are prone to the accumulation of oil and grime. Once pollutants adhere to the surface of the heat exchanger fins, they significantly reduce the efficiency of air convection heat transfer, leading to increased thermal resistance of the heat exchanger and a decrease in the air conditioner's heat exchange capacity.

[0003] When dust accumulation, salt buildup, and lint blockage are severe, they can directly cause abnormal increases in compressor discharge pressure, increased outdoor fan load current, and increased overall energy consumption, frequently triggering air conditioner high-pressure protection and overheating shutdown, significantly shortening the service life of the air conditioner compressor and heat exchanger. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that, in related technologies, after pollutants adhere to the surface of the outdoor heat exchanger fins, they will significantly reduce the air convection heat exchange efficiency, resulting in a decrease in the heat exchange capacity of the air conditioner. Therefore, the present invention provides a method, device, medium and program product for cleaning and controlling the air conditioner and its outdoor unit, which belongs to energy-saving refrigeration and air conditioning equipment.

[0005] This invention provides a method for cleaning and controlling an outdoor unit of an air conditioner, comprising: collecting outdoor environmental parameters and operating parameters of the air conditioner; determining the current cleaning risk index based on the collected outdoor environmental parameters using a pre-constructed cleaning risk index quantitative assessment model; determining the current pollution risk level based on the determined current cleaning risk index and the operating parameters of the air conditioner; and performing cleaning of the outdoor unit of the air conditioner based on the determined current pollution risk level.

[0006] Optionally, the outdoor environmental parameters include at least one of the following: outdoor ambient temperature, outdoor relative humidity, air salinity, outdoor wind speed, and air particulate matter concentration; and / or, the air conditioner's operating parameters include: compressor discharge pressure and / or outdoor fan operating current.

[0007] Optionally, based on the collected outdoor environmental parameters, the current cleaning risk index is determined using a pre-built cleaning risk index quantitative assessment model, including: the expression of the cleaning risk index quantitative assessment model is as follows:

[0008] FRI = α·G(RH, SS) + β·H(T, ΔT) + γ·J(PM)] × K_wind;

[0009] Wherein, FRI represents the Cleanliness Risk Index; G represents the Adhesion Potential Factor; RH represents the Outdoor Relative Humidity; SS represents the Air Salinity; H represents the Condensation Dryness Factor; T represents the Outdoor Ambient Temperature; ΔT represents the difference between the Outdoor Ambient Temperature T and the Dew Point Temperature; J represents the Particulate Matter Concentration Factor; PM represents the Particulate Matter Concentration in the Air; K_wind represents the Wind Speed ​​Enhancement Coefficient; and α, β, and γ are the weights corresponding to the Adhesion Potential Factor, Condensation Dryness Factor, and Particulate Matter Concentration Factor, respectively.

[0010] Optionally, based on the determined current cleaning risk index and the operating parameters of the air conditioner, the current pollution risk level is determined, including: when the cleaning risk index is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the compressor discharge pressure and outdoor fan operating current fluctuate within a first preset range, the current pollution risk level is determined to be a first pollution risk level; when the cleaning risk index is greater than or equal to the second preset threshold and less than a third preset threshold, and the compressor discharge pressure and outdoor fan operating current fluctuate within a second preset range, the current pollution risk level is determined to be a second pollution risk level; when the cleaning risk index is greater than or equal to the third preset threshold, or when the compressor discharge pressure increases by a preset percentage relative to a preset benchmark value, the current pollution risk level is determined to be a third pollution risk level; the pollution risk of the first pollution risk level is lower than the pollution risk of the second pollution risk level, and the pollution risk of the second pollution risk level is lower than the pollution risk of the third pollution risk level.

[0011] Optionally, based on the determined current pollution risk level, the cleaning of the outdoor unit of the air conditioner is performed, including: when the current pollution risk level is determined to be a first pollution risk level, controlling the outdoor fan to run in reverse for a second preset time every first preset time; when the current pollution risk level is determined to be a second pollution risk level, controlling the outdoor fan to run in reverse, controlling the vibrator on the outdoor heat exchanger fins to vibrate for a fourth preset time every third preset time, and continuing to run for a fifth preset time; when the current pollution risk level is determined to be a third pollution risk level, issuing a cleaning reminder and / or starting the automatic spray device to rinse the outdoor heat exchanger fins for a sixth preset time, and then controlling the outdoor fan to run forward for a seventh preset time.

[0012] Another aspect of the present invention provides a cleaning control device for an air conditioner outdoor unit, comprising: a data acquisition unit for acquiring outdoor environmental parameters and operating parameters of the air conditioner; a first determination unit for determining a current cleaning risk index based on the outdoor environmental parameters acquired by the data acquisition unit and using a pre-built cleaning risk index quantitative assessment model; a second determination unit for determining a current pollution risk level based on the current cleaning risk index determined by the first determination unit and in conjunction with the operating parameters of the air conditioner; and an execution unit for executing the cleaning of the air conditioner outdoor unit based on the current pollution risk level determined by the second determination unit.

[0013] Optionally, the outdoor environmental parameters include at least one of the following: outdoor ambient temperature, outdoor relative humidity, air salinity, outdoor wind speed, and air particulate matter concentration; and / or, the air conditioner's operating parameters include: compressor discharge pressure and / or outdoor fan operating current.

[0014] Optionally, the first determining unit determines the current cleaning risk index based on the outdoor environmental parameters collected by the acquisition unit and using a pre-built cleaning risk index quantitative assessment model, including: the expression of the cleaning risk index quantitative assessment model is as follows:

[0015] FRI = α·G(RH, SS) + β·H(T, ΔT) + γ·J(PM)] × K_wind;

[0016] Wherein, FRI represents the Cleanliness Risk Index; G represents the Adhesion Potential Factor; RH represents the Outdoor Relative Humidity; SS represents the Air Salinity; H represents the Condensation Dryness Factor; T represents the Outdoor Ambient Temperature; ΔT represents the difference between the Outdoor Ambient Temperature T and the Dew Point Temperature; J represents the Particulate Matter Concentration Factor; PM represents the Particulate Matter Concentration in the Air; K_wind represents the Wind Speed ​​Enhancement Coefficient; and α, β, and γ are the weights corresponding to the Adhesion Potential Factor, Condensation Dryness Factor, and Particulate Matter Concentration Factor, respectively.

[0017] Optionally, the second determining unit determines the current pollution risk level based on the current cleaning risk index determined by the first determining unit and in conjunction with the operating parameters of the air conditioner, including: determining the current pollution risk level as a first pollution risk level when the cleaning risk index is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within a first preset range; determining the current pollution risk level as a second pollution risk level when the cleaning risk index is greater than or equal to the second preset threshold and less than a third preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within a second preset range; determining the current pollution risk level as a third pollution risk level when the cleaning risk index is greater than or equal to the third preset threshold, or when the compressor exhaust pressure increases by a preset percentage relative to a preset benchmark value; the pollution risk of the first pollution risk level is lower than the pollution risk of the second pollution risk level, and the pollution risk of the second pollution risk level is lower than the pollution risk of the third pollution risk level.

[0018] Optionally, the execution unit performs cleaning of the outdoor unit of the air conditioner according to the current pollution risk level determined by the second determining unit, including: when the current pollution risk level is determined to be a first pollution risk level, controlling the outdoor fan to run in reverse for a second preset time every first preset time; when the current pollution risk level is determined to be a second pollution risk level, controlling the outdoor fan to run in reverse, controlling the vibrator on the outdoor heat exchanger fins to vibrate for a fourth preset time every third preset time, and continuing to run for a fifth preset time; when the current pollution risk level is determined to be a third pollution risk level, issuing a cleaning reminder and / or starting the automatic spray device to rinse the outdoor heat exchanger fins for a sixth preset time, and then controlling the outdoor fan to run forward for a seventh preset time.

[0019] In another aspect, the present invention provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0020] In another aspect, the present invention provides an air conditioner, including a processor, a memory, and a computer program stored in the memory that can run on the processor, wherein the processor executes the program to implement the steps of any of the methods described above.

[0021] In another aspect, the present invention provides an air conditioner including any of the aforementioned outdoor unit cleaning control devices.

[0022] In another aspect, the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0023] According to the technical solution of the present invention, by integrating outdoor environmental parameters (outdoor temperature and humidity, air salinity, particulate matter concentration and outdoor wind speed), a quantitative dirt risk assessment model is constructed. Combined with the air conditioner's own operating parameters (compressor exhaust pressure and outdoor fan operating current), the blockage risk is accurately classified and matched with multi-level differentiated self-cleaning strategies. This can significantly improve the outdoor unit's intelligent cleaning level, heat exchange efficiency and equipment lifespan, adapt to various complex outdoor working conditions (coastal areas are prone to salt spray crystallization, and inland industrial and mining areas are prone to oil and dirt accumulation), reduce the overall operating energy consumption, and achieve energy-saving effects. Attached Figure Description

[0024] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0025] Figure 1 This is a schematic diagram of an embodiment of the air conditioner outdoor unit cleaning control method provided by the present invention;

[0026] Figure 2 A schematic diagram of the system composition of the present invention is shown;

[0027] Figure 3 The following is a logical block diagram of the multi-factor calculation model for the clean risk index;

[0028] Figure 4 This is a schematic diagram of a specific embodiment of the air conditioner outdoor unit cleaning control method provided by the present invention;

[0029] Figure 5 This is a structural block diagram of an embodiment of the air conditioner outdoor unit cleaning control device provided by the present invention. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0031] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0032] The main air conditioner outdoor unit cleaning solutions in related technologies include: regular manual inspection and cleaning, and automatic cleaning at fixed intervals. Manual cleaning relies on the subjective judgment of users or after-sales personnel, resulting in strong cleaning delays, high labor costs, and cleaning frequency that cannot match real-time pollution conditions. The timed automatic cleaning mode triggers cleaning actions at fixed times, which cannot distinguish between light and heavy pollution scenarios, resulting in highly random cleaning actions. It also suffers from the defects of cleaning without pollution and not cleaning in time when there is high pollution, which leads to serious energy waste and extremely low cleaning accuracy.

[0033] The relevant technologies lack intelligent solutions that can assess blockage risks in real time based on multi-dimensional environmental parameters and adapt to graded cleaning based on unit operating status. They are unable to adapt to the different and complex operating conditions such as coastal salt spray, dust, willow catkins, high humidity condensation, and the accumulation of oil and dirt in inland industrial and mining areas.

[0034] This invention provides a method for cleaning and controlling an outdoor unit of an air conditioner.

[0035] Figure 1 This is a schematic diagram of an embodiment of the air conditioner outdoor unit cleaning control method provided by the present invention.

[0036] like Figure 1 As shown, according to an embodiment of the present invention, the outdoor unit cleaning control method includes at least steps S110, S120, S130 and S140.

[0037] Step S110: Collect outdoor environmental parameters and the operating parameters of the air conditioner.

[0038] The outdoor environmental parameters may specifically include at least one of the following: outdoor ambient temperature (T), outdoor relative humidity (RH), air salinity (SS), outdoor wind speed (W), and concentration of particulate matter (e.g., PM10). The air conditioner's operating parameters may specifically include: compressor discharge pressure and / or outdoor fan operating current. The outdoor environmental parameters can be collected in real time by an external environmental sensor, and the air conditioner's operating parameters can be collected by the air conditioner's built-in monitoring module.

[0039] For example, an outdoor ambient temperature (T) and relative humidity (RH) can be collected using a temperature and humidity sensor, an outdoor wind speed can be collected using a wind speed sensor, the concentration of particulate matter in the air can be detected using a particulate matter concentration sensor, and the air salinity (SS) can be collected using a salinity sensor. The salinity sensor detects the concentration of salt mist in the air based on the conductivity method. It captures and dissolves salt mist particles in the air into a measured amount of pure water to form a test solution. The conductivity value of this solution is measured, and the NaCl solution concentration is obtained according to a preset conductivity-salinity curve. Based on the obtained NaCl solution concentration, combined with the collected air volume and the sampled pure water volume, the equivalent salinity in the air is calculated. The compressor exhaust pressure can be detected by a compressor exhaust pressure detection module. The indoor fan operating current can be collected by an outdoor fan current sampling module. (The above is for reference only.) Figure 2 As shown, Figure 2 A schematic diagram of the system composition of the present invention is shown.

[0040] Preferably, the collected outdoor environmental parameters and the air conditioner's operating parameters are preprocessed, for example, by using an averaging algorithm to remove transient interference and abnormal data, thus ensuring the stability and accuracy of parameter collection.

[0041] Step S120: Based on the collected outdoor environmental parameters, determine the current cleaning risk index using a pre-built cleaning risk index quantitative assessment model.

[0042] The cleanliness risk index quantitative assessment model is used to quantify the risks of heat exchanger blockage, scale buildup, and salt condensation contamination. In one specific embodiment, the expression of the cleanliness risk index quantitative assessment model is as follows:

[0043] FRI = α·G(RH, SS) + β·H(T, ΔT) + γ·J(PM)] × K_wind

[0044] Wherein, FRI (Fouling Risk Index) represents the cleanliness risk index; G(RH,SS) represents the adhesion potential factor, where RH represents outdoor relative humidity and SS represents air salinity; H(T,ΔT) represents the condensation drying factor, where T represents outdoor ambient temperature and ΔT represents the difference between outdoor ambient temperature T and dew point temperature; J(PM) represents the particulate matter concentration factor, where PM represents the concentration of particulate matter in the air; K_wind represents the wind speed enhancement coefficient, and α, β, and γ are the weights corresponding to the adhesion potential factor G, the condensation drying factor H, and the particulate matter concentration factor J, respectively, with α+β+γ=1.

[0045] The adhesion potential factor G(RH,SS) is used to characterize the adhesion and solidification ability of pollutants in high humidity and salt spray environments. The higher the humidity and salinity, the easier it is for dust and salt crystals to adhere to the heat exchanger fins. The expression for the adhesion potential factor G is as follows:

[0046] G = (RH / 100) × (1 + SS / SS0);

[0047] Where RH represents relative humidity, SS represents air salinity, SS0 represents seawater average salinity (e.g., 35 ppt), and G represents the humidity and salinity factors normalized to [0,1] with respect to humidity, and the salinity factor quantified as an enhancement coefficient of 1-2, reflecting the adhesion and solidification capabilities of humidity and salinity for pollutants. The maximum value of G is limited to 1.0 to avoid model distortion caused by extreme parameter values. RH (relative humidity) and SS (air salinity) can be queried based on the local city. G represents the humidity and salinity factors normalized to [0,1] with respect to humidity, and the salinity factor quantified as an enhancement coefficient of 1-2, reflecting the adhesion and solidification capabilities of humidity and salinity for pollutants.

[0048] The condensation drying factor H(T,ΔT) is used to characterize the accelerating effect of environmental condensation conditions on dirt solidification. When the ambient temperature is close to the dew point temperature, a water film easily forms on the fin surface, causing dust and salt spray to solidify and become difficult to fall off naturally. The expression for the condensation drying factor H is as follows:

[0049] H = 1 / (1 + exp(-k·ΔT)); H = 1 / (1 + exp(-k·(T - T_dew)));

[0050] Where T_dew is the real-time dew point temperature, k is the fitting coefficient (preferably 0.5), which can be obtained through experimental fitting, and ΔT is the difference between the outdoor ambient temperature and the dew point temperature. ΔT = T - T_dew. When the ambient temperature T is close to the dew point temperature, the probability of condensation increases sharply.

[0051] The particulate matter concentration factor J (PM) is used to characterize the pollution load of suspended pollutants in the air. The higher the concentration, the faster the dust accumulation rate. The expression for the particulate matter concentration factor is as follows:

[0052] J = min(1, PM / a);

[0053] Wherein, PM represents the pollutant concentration, and the unit can be, for example, μg / m³. a is a preset concentration threshold, for example, 200 μg / m³. When the pollutant concentration exceeds the preset concentration threshold, the marginal impact on the heat exchanger blockage rate and corrosion rate will decrease significantly. This concentration threshold can be obtained through experimental testing.

[0054] The wind speed enhancement coefficient K_wind is used in high wind conditions to accelerate the adhesion of a large number of suspended pollutants to the outdoor unit. A dynamic correction coefficient is set: different wind speed ranges correspond to different wind speed enhancement coefficients K_wind. For example, when the wind speed W > 3m / s, K_wind = 1.2; when the wind speed W ≤ 3m / s, K_wind = 1.0.

[0055] The weights α, β, and γ correspond to the risk proportions of salt wet adhesion, condensation solidification, and particulate matter pollution, respectively. The optimal fixed weights can be obtained by fitting experiments under multiple regional operating conditions. For example, α=0.5, β=0.3, and γ=0.2.

[0056] Step S130: Based on the determined current cleanliness risk index and the operating parameters of the air conditioner, determine the current pollution risk level.

[0057] Individual environmental parameter models have theoretical biases; therefore, pollution risk level assessment should be combined with the actual operating status of the air conditioner to avoid misjudgment. Specifically, the current pollution risk level is determined by combining the current cleanliness risk index with the compressor exhaust temperature and the outdoor fan operating current.

[0058] Specifically, when the cleanliness risk index is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within a first preset range, the current pollution risk level is determined to be the first pollution risk level; when the cleanliness risk index is greater than or equal to the second preset threshold and less than a third preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within a second preset range, the current pollution risk level is determined to be the second pollution risk level; when the cleanliness risk index is greater than or equal to the third preset threshold, or when the compressor exhaust pressure increases by a preset percentage relative to a preset benchmark value, the current pollution risk level is determined to be the third pollution risk level. The pollution risk of the first pollution risk level is lower than the pollution risk of the second pollution risk level, and the pollution risk of the second pollution risk level is lower than the pollution risk of the third pollution risk level. For example, the first pollution risk level is a slight potential pollution risk, the second pollution risk level is a moderate actual pollution risk, and the third pollution risk level is a severe blockage pollution risk. For example:

[0059] 1. When FRI∈[0.4,0.6), and the fluctuation of compressor discharge pressure and fan current relative to the preset reference value is less than 5%, that is, the increase relative to the reference value is less than 5%, that is, there is no significant increase, it is judged as a slight potential pollution risk and enters the early warning standby state.

[0060] 2. When FRI∈[0.6,0.8), the fluctuation of compressor discharge pressure and fan current relative to the preset baseline value is 5% to 15%, that is, the increase relative to the baseline value is 5% to 15%, which is a small fluctuation and is judged as a moderate actual pollution risk;

[0061] 3. When FRI≥0.8, or the compressor discharge pressure increases by more than 15% from the preset benchmark value, it is judged as a severe blockage and pollution risk.

[0062] Step S140: Clean the outdoor unit of the air conditioner according to the determined current pollution risk level.

[0063] In one specific implementation, cleaning the outdoor unit of the air conditioner, based on the determined current pollution risk level, includes the following:

[0064] (1) When the current pollution risk level is determined to be the first pollution risk level, i.e., FRI∈[0.4,0.6), the outdoor fan is controlled to reverse and run for a second preset time every first preset time.

[0065] For example, the outdoor fan can be triggered to run in reverse for 30 seconds once a day, using the reverse airflow to blow away loose pollutants such as floating dust and willow catkins from the surface of the heat exchanger, removing shallow pollution with low power consumption.

[0066] (2) When the current pollution risk level is determined to be the second pollution risk level, i.e. FRI∈[0.6,0.8), control the outdoor fan to reverse, control the vibrator on the outdoor heat exchanger fins to vibrate for the fourth preset time every third preset time, and continue to run for the fifth preset time.

[0067] The vibrator can be a small piezoelectric or electromagnetic vibrating element, which can be attached to the heat exchanger fins without changing the heat exchanger structure or heat exchange performance. For example, when the fan is started in reverse for continuous ventilation, the micro vibrator attached to the fins is controlled to work intermittently. The working logic is: vibrate for 5 seconds every 10 minutes, running continuously for 1 hour; through the combination of airflow purging and high-frequency vibration, semi-cured and slightly adhered dust and dirt are peeled off. Alternatively, for models without a vibrator installed, the moderate cleaning strategy can be adjusted to control the outdoor fan to rotate forward at a preset minimum speed, i.e., "periodic long-term low-speed forward rotation".

[0068] (3) When the current pollution risk level is determined to be the third pollution risk level, that is, FRI≥0.8, or the compressor exhaust pressure is more than 15% higher than the preset benchmark value, a cleaning reminder is issued or the automatic spray device is started to rinse the outdoor heat exchanger fins for the sixth preset time, and then the outdoor fan is controlled to rotate forward for the seventh preset time.

[0069] Specifically, when the pollution risk level is the third pollution risk level, a cleaning reminder for severe blockage of the outdoor unit will be pushed to the user terminal APP immediately; if the equipment is equipped with an automatic spray device, the heat exchanger fins will be rinsed with clean water for 3 minutes. After the spraying is completed, the outdoor fan will be controlled to rotate forward at high speed to dry the unit, thoroughly removing salt crystals, stubborn deposits, and solidified pollutants.

[0070] Preferably, the system stores the initial cleaning risk index before each outdoor unit cleaning operation, as well as the cleaning risk index decay value, unit energy consumption reduction, and exhaust pressure recovery after each outdoor unit cleaning operation, to establish a local operating condition database. For the characteristics of salt spray, dust, and willow catkin pollution in different regions and seasons, the system adaptively corrects the weighting coefficients α, β, and γ online, while optimizing the cleaning duration, frequency, and intensity parameters for each pollution risk level, thus enabling the equipment to adapt to localized operating conditions for a long period.

[0071] Specifically, after each outdoor unit self-cleaning cycle, the measured exhaust pressure recovery and energy consumption reduction are converted into actual pollution intensity according to preset rules. This is compared with the Clean Risk Index (FRI) predicted by the model before the self-cleaning cycle to obtain the error. The parameters α, β, and γ are then fine-tuned online using a gradient descent approach (while maintaining a constant sum of 1). If increasing the weight of a factor increases the deviation between the model-predicted FRI and the actual pollution intensity, it indicates that the factor's contribution is overestimated, and the corresponding weight is reduced. Conversely, if decreasing the weight of a factor increases the model deviation, it indicates that the factor's contribution is underestimated or not fully incorporated into the model's underestimation, and the corresponding weight is increased. After multiple iterations, the weights converge to the local actual pollution proportion (e.g., salt spray in coastal areas, willow catkins in northern areas).

[0072] To clearly illustrate the technical solution of the present invention, the execution flow of the air conditioner outdoor unit cleaning control method provided by the present invention will be described below with reference to several specific embodiments.

[0073] Figure 2 A schematic diagram of the system composition of the present invention is shown. For example... Figure 2 As shown, the system of the present invention includes an environmental sensing unit, an operating parameter monitoring unit, a cleaning execution unit, and a control unit.

[0074] The environmental sensing unit, placed on the outdoor side of the air conditioner, collects multi-dimensional pollution parameters of the outdoor environment in real time. This unit includes temperature and humidity sensors, wind speed sensors, particulate matter concentration sensors, and salinity sensors. The temperature and humidity sensors collect outdoor ambient temperature (T) and relative humidity (RH), the wind speed sensor collects outdoor wind speed, the particulate matter concentration sensor detects the concentration of particulate matter in the air, and the salinity sensor collects air salinity (SS). The operating parameter monitoring unit collects air conditioner operating parameters in real time and provides feedback on unit heat exchange attenuation and abnormal load conditions. This unit includes a compressor discharge pressure detection module and an outdoor fan current sampling module. The compressor discharge pressure detection module detects the compressor discharge pressure, while the outdoor fan current sampling module collects the operating current of the indoor fan. The cleaning execution unit performs cleaning of the outdoor fan. This unit includes a reversible outdoor fan, a micro-vibrator (attached to the heat exchanger fins), and an automatic spray device (requires an external water source). The control unit receives outdoor environmental parameters and air conditioner operating parameters uploaded by sensors, calculates the cleaning risk index (FRI), decides on cleaning actions, and optimizes parameters online through self-learning.

[0075] Figure 3 A logical block diagram of the multi-factor calculation model for the cleanliness risk index is shown. Figure 3 As shown, firstly, multi-dimensional environmental parameters are collected and real-time operating conditions of the unit are extracted. The FRI influencing factors, adhesion potential factor G(RH,SS), condensation drying factor H(T,ΔT), particulate matter concentration factor J(PM), and wind speed enhancement coefficient K_wind are uniformly calculated. Multi-factor weighted calculation is performed to quantify the equipment dirt and clogging cleaning risk and obtain the cleaning risk index. Based on the cleaning risk index, the low, medium and high risk levels are classified and judged. The implementation of FRI cleaning risk index is output, and the data and logical execution actions are output.

[0076] Figure 4 This is a schematic diagram of a specific embodiment of the air conditioner outdoor unit cleaning control method provided by the present invention. Figure 4 As shown, the system starts and initializes parameters, collects real-time operating status and environmental data of the air conditioning unit, calls the FRI cleaning risk index calculation model, intelligently judges the degree of dirt and blockage of the outdoor unit heat exchanger (condenser), matches adaptive cleaning control strategies according to risk level, adaptively adjusts wind speed, air volume and airflow spray device, collects real-time heat exchange and wind resistance feedback data of the unit, and closes the correction weight parameters and control threshold.

[0077] The following is a specific example to illustrate the invention:

[0078] Under high salt spray and high humidity summer operating conditions along the coast:

[0079] Outdoor environmental parameters were measured as follows: ambient temperature T=32℃, relative humidity RH=85%, air salinity SS=20ppt, PM10=150μg / m³, wind speed W=2m / s, and real-time dew point temperature 29℃.

[0080] The unit's operating status was checked: the compressor discharge pressure increased by 18% compared to the baseline value.

[0081] Cleanliness risk index model calculation process:

[0082] 1. Adhesion factor G = (85 / 100) × (1 + 20 / 35) = 1.336, limit is 1.0;

[0083] 2. Condensation factor H = 1 / (1 + exp(-0.5 × 3)) ≈ 0.82;

[0084] 3. Particulate matter factor J = min(1, 150 / 200) = 0.75;

[0085] 4. Wind speed coefficient K_wind = 1.0;

[0086] 5. The overall FRI = 0.5 × 1.0 + 0.3 × 0.82 + 0.2 × 0.75 = 0.896.

[0087] Risk assessment: FRI=0.896≥0.8, and the exhaust pressure exceeds the standard, indicating a severe blockage risk.

[0088] Actions performed: Immediately push an alert to the user's mobile APP stating "The outdoor unit heat exchanger has severe salt and dust accumulation, and deep cleaning is recommended"; if equipped with a spray device, automatically start a 3-minute water spray rinse, and after the rinse is completed, the fan rotates forward to dry the fins, thus completing the deep desalination and descaling cleaning.

[0089] The present invention also provides a cleaning control device for an outdoor unit of an air conditioner.

[0090] Figure 5 This is a structural block diagram of an embodiment of the air conditioner outdoor unit cleaning control device provided by the present invention. Figure 5 As shown, the outdoor unit cleaning control device 100 includes: a data acquisition unit 110, a first determination unit 120, a second determination unit 130, and an execution unit 140.

[0091] The data acquisition unit 110 is used to acquire outdoor environmental parameters and the operating parameters of the air conditioner.

[0092] The outdoor environmental parameters may specifically include at least one of the following: outdoor ambient temperature (T), outdoor relative humidity (RH), air salinity (SS), outdoor wind speed (W), and concentration of particulate matter (e.g., PM10). The air conditioner's operating parameters may specifically include: compressor discharge pressure and / or outdoor fan operating current. The outdoor environmental parameters can be collected in real time by an external environmental sensor, and the air conditioner's operating parameters can be collected by the air conditioner's built-in monitoring module.

[0093] For example, an outdoor ambient temperature (T) and relative humidity (RH) can be collected using a temperature and humidity sensor, an outdoor wind speed can be collected using a wind speed sensor, an air particulate matter concentration sensor can detect the concentration of particulate matter in the air, and an air salinity sensor can collect the air salinity (SS). The salinity sensor detects the concentration of salt mist in the air based on the conductivity method. It captures and dissolves the salt mist particles in the air in a measured amount of pure water to form a test solution. The conductivity value of this solution is measured, and the concentration of the NaCl solution is obtained according to a preset conductivity-salinity curve. Based on the obtained NaCl solution concentration, combined with the collected air volume and the sampled pure water volume, the equivalent salinity in the air is calculated. The compressor exhaust pressure can be detected by a compressor exhaust pressure detection module. The indoor fan operating current can be collected by an outdoor fan current sampling module. (The above is for reference only.) Figure 2 As shown, Figure 2 A schematic diagram of the system composition of the present invention is shown.

[0094] Preferably, the collected outdoor environmental parameters and the air conditioner's operating parameters are preprocessed, for example, by using an averaging algorithm to remove transient interference and abnormal data, thus ensuring the stability and accuracy of parameter collection.

[0095] The first determining unit 120 is used to determine the current cleaning risk index based on the outdoor environmental parameters collected by the acquisition unit and using a pre-built cleaning risk index quantitative assessment model.

[0096] The cleanliness risk index quantitative assessment model is used to quantify the risks of heat exchanger blockage, scale buildup, and salt condensation contamination. In one specific embodiment, the expression of the cleanliness risk index quantitative assessment model is as follows:

[0097] FRI = α·G(RH, SS) + β·H(T, ΔT) + γ·J(PM)] × K_wind

[0098] Wherein, FRI (Fouling Risk Index) represents the cleanliness risk index; G(RH,SS) represents the adhesion potential factor, where RH represents outdoor relative humidity and SS represents air salinity; H(T,ΔT) represents the condensation drying factor, where T represents outdoor ambient temperature and ΔT represents the difference between outdoor ambient temperature T and dew point temperature; J(PM) represents the particulate matter concentration factor, where PM represents the concentration of particulate matter in the air; K_wind represents the wind speed enhancement coefficient, and α, β, and γ are the weights corresponding to the adhesion potential factor G, the condensation drying factor H, and the particulate matter concentration factor J, respectively, with α+β+γ=1.

[0099] The adhesion potential factor G(RH,SS) is used to characterize the adhesion and solidification ability of pollutants in high humidity and salt spray environments. The higher the humidity and salinity, the easier it is for dust and salt crystals to adhere to the heat exchanger fins. The expression for the adhesion potential factor G is as follows:

[0100] G = (RH / 100) × (1 + SS / SS0);

[0101] Where RH represents relative humidity, SS represents air salinity, SS0 represents seawater average salinity (e.g., 35 ppt), and G represents the humidity and salinity factors normalized to [0,1] with respect to humidity, and the salinity factor quantified as an enhancement coefficient of 1-2, reflecting the adhesion and solidification capabilities of humidity and salinity for pollutants. The maximum value of G is limited to 1.0 to avoid model distortion caused by extreme parameter values. RH (relative humidity) and SS (air salinity) can be queried based on the local city. G represents the humidity and salinity factors normalized to [0,1] with respect to humidity, and the salinity factor quantified as an enhancement coefficient of 1-2, reflecting the adhesion and solidification capabilities of humidity and salinity for pollutants.

[0102] The condensation drying factor H(T,ΔT) is used to characterize the accelerating effect of environmental condensation conditions on dirt solidification. When the ambient temperature is close to the dew point temperature, a water film easily forms on the fin surface, causing dust and salt spray to solidify and become difficult to fall off naturally. The expression for the condensation drying factor H is as follows:

[0103] H = 1 / (1 + exp(-k·ΔT)); H = 1 / (1 + exp(-k·(T - T_dew)));

[0104] Where T_dew is the real-time dew point temperature, k is the fitting coefficient (preferably 0.5), which can be obtained through experimental fitting, and ΔT is the difference between the outdoor ambient temperature and the dew point temperature. ΔT = T - T_dew. When the ambient temperature T is close to the dew point temperature, the probability of condensation increases sharply.

[0105] The particulate matter concentration factor J (PM) is used to characterize the pollution load of suspended pollutants in the air. The higher the concentration, the faster the dust accumulation rate. The expression for the particulate matter concentration factor is as follows:

[0106] J = min(1, PM / a);

[0107] Wherein, PM represents the pollutant concentration, and the unit can be, for example, μg / m³. a is a preset concentration threshold, for example, 200 μg / m³. When the pollutant concentration exceeds the preset concentration threshold, the marginal impact on the heat exchanger blockage rate and corrosion rate will decrease significantly. This concentration threshold can be obtained through experimental testing.

[0108] The wind speed enhancement coefficient K_wind is used in high wind conditions to accelerate the adhesion of a large number of suspended pollutants to the outdoor unit. A dynamic correction coefficient is set: different wind speed ranges correspond to different wind speed enhancement coefficients K_wind. For example, when the wind speed W > 3m / s, K_wind = 1.2; when the wind speed W ≤ 3m / s, K_wind = 1.0.

[0109] The weights α, β, and γ correspond to the risk proportions of salt wet adhesion, condensation solidification, and particulate matter pollution, respectively. The optimal fixed weights can be obtained by fitting experiments under multiple regional operating conditions. For example, α=0.5, β=0.3, and γ=0.2.

[0110] The second determining unit 130 is used to determine the current pollution risk level based on the current cleanliness risk index determined by the first determining unit and in combination with the operating parameters of the air conditioner.

[0111] Individual environmental parameter models have theoretical biases; therefore, pollution risk level assessment should be combined with the actual operating status of the air conditioner to avoid misjudgment. Specifically, the current pollution risk level is determined by combining the current cleanliness risk index with the compressor exhaust temperature and the outdoor fan operating current.

[0112] Specifically, when the cleanliness risk index is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within a first preset range, the current pollution risk level is determined to be the first pollution risk level; when the cleanliness risk index is greater than or equal to the second preset threshold and less than a third preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within a second preset range, the current pollution risk level is determined to be the second pollution risk level; when the cleanliness risk index is greater than or equal to the third preset threshold, or when the compressor exhaust pressure increases by a preset percentage relative to a preset benchmark value, the current pollution risk level is determined to be the third pollution risk level. The pollution risk of the first pollution risk level is lower than the pollution risk of the second pollution risk level, and the pollution risk of the second pollution risk level is lower than the pollution risk of the third pollution risk level. For example, the first pollution risk level is a slight potential pollution risk, the second pollution risk level is a moderate actual pollution risk, and the third pollution risk level is a severe blockage pollution risk. For example:

[0113] 1. When FRI∈[0.4,0.6), and the fluctuation of compressor discharge pressure and fan current relative to the preset reference value is less than 5%, that is, the increase relative to the reference value is less than 5%, that is, there is no significant increase, it is judged as a slight potential pollution risk and enters the early warning standby state.

[0114] 2. When FRI∈[0.6,0.8), the fluctuation of compressor discharge pressure and fan current relative to the preset baseline value is 5% to 15%, that is, the increase relative to the baseline value is 5% to 15%, which is a small fluctuation and is judged as a moderate actual pollution risk;

[0115] 3. When FRI≥0.8, or the compressor discharge pressure increases by more than 15% from the preset benchmark value, it is judged as a severe blockage and pollution risk.

[0116] The compressor discharge pressure and fan current are adjusted according to the specific model.

[0117] The execution unit 140 is used to perform cleaning of the outdoor unit of the air conditioner according to the current pollution risk level determined by the second determining unit.

[0118] In one specific implementation, cleaning the outdoor unit of the air conditioner, based on the determined current pollution risk level, includes the following:

[0119] (1) When the current pollution risk level is determined to be the first pollution risk level, i.e., FRI∈[0.4,0.6), the outdoor fan is controlled to reverse and run for a second preset time every first preset time.

[0120] For example, the outdoor fan can be triggered to run in reverse for 30 seconds once a day, using the reverse airflow to blow away loose pollutants such as floating dust and willow catkins from the surface of the heat exchanger, removing shallow pollution with low power consumption.

[0121] (2) When the current pollution risk level is determined to be the second pollution risk level, i.e. FRI∈[0.6,0.8), control the outdoor fan to reverse, control the vibrator on the outdoor heat exchanger fins to vibrate for the fourth preset time every third preset time, and continue to run for the fifth preset time.

[0122] The vibrator can be a small piezoelectric or electromagnetic vibrating element, which can be attached to the heat exchanger fins without changing the heat exchanger structure or heat exchange performance. For example, when the fan is started in reverse for continuous ventilation, the micro vibrator attached to the fins is controlled to work intermittently. The working logic is: vibrate for 5 seconds every 10 minutes, running continuously for 1 hour; through the combination of airflow purging and high-frequency vibration, semi-cured and slightly adhered dust and dirt are peeled off. Alternatively, for models without a vibrator, the moderate cleaning strategy can be adjusted to control the outdoor fan to rotate forward at a preset minimum speed, i.e., "periodic long-term low-speed forward rotation".

[0123] (3) When the current pollution risk level is determined to be the third pollution risk level, that is, FRI≥0.8, or the compressor exhaust pressure is more than 15% higher than the preset benchmark value, a cleaning reminder is issued or the automatic spray device is started to rinse the outdoor heat exchanger fins for the sixth preset time, and then the outdoor fan is controlled to rotate forward for the seventh preset time.

[0124] Specifically, when the pollution risk level is the third pollution risk level, a cleaning reminder for severe blockage of the outdoor unit will be pushed to the user terminal APP immediately; if the equipment is equipped with an automatic spray device, the heat exchanger fins will be rinsed with clean water for 3 minutes. After the spraying is completed, the outdoor fan will be controlled to rotate forward at high speed to dry the unit, thoroughly removing salt crystals, stubborn deposits, and solidified pollutants.

[0125] Preferably, the system stores the initial cleaning risk index before each outdoor unit cleaning operation, as well as the cleaning risk index decay value, unit energy consumption reduction, and exhaust pressure recovery after each outdoor unit cleaning operation, to establish a local operating condition database. Based on the characteristics of salt spray, dust, and willow catkin pollution in different regions and seasons, the system adaptively corrects the weighting coefficients α, β, and γ online, while simultaneously optimizing the duration, frequency, and intensity parameters of each cleaning level, enabling the equipment to adapt to localized operating conditions for a long period.

[0126] Specifically, after each outdoor unit self-cleaning cycle, the measured exhaust pressure recovery and energy consumption reduction are converted into "actual pollution intensity," which is then compared with the FRI predicted by the model before the self-cleaning cycle to obtain the error. α, β, and γ are then fine-tuned online using a gradient descent approach (while maintaining the sum of the three at 1). If a factor's contribution is overestimated, it is adjusted downwards; if it is underestimated, it is adjusted upwards. After multiple iterations, the weights converge to the actual local pollution proportion (e.g., salt spray in coastal areas, willow catkins in northern areas).

[0127] The present invention also provides a storage medium corresponding to the air conditioner outdoor unit cleaning control method, wherein a computer program is stored thereon, and the program, when executed by a processor, implements the steps of any of the aforementioned methods.

[0128] The present invention also provides an air conditioner corresponding to the aforementioned air conditioner outdoor unit cleaning control method, comprising a processor, a memory, and a computer program stored in the memory that can run on the processor, wherein the processor executes the program to implement the steps of any of the aforementioned methods.

[0129] The present invention also provides an air conditioner corresponding to the outdoor unit cleaning control device of the air conditioner, including any of the aforementioned outdoor unit cleaning control devices.

[0130] The present invention also provides a computer program product corresponding to the air conditioner outdoor unit cleaning control method, including a computer program that, when executed by a processor, implements the steps of any of the aforementioned methods.

[0131] Accordingly, the solution provided by this invention abandons the extensive mode of timed cleaning and adopts the multi-factor cleaning risk index quantitative assessment model FRI, which integrates multiple operating parameters and combines the dual verification of unit operating status to accurately distinguish the pollution level and solve the problems of cleaning delay, false triggering, and missed triggering.

[0132] According to the technical solution of the present invention, a graded differentiated cleaning logic is adopted to match the cleaning intensity as needed, avoid ineffective energy consumption, effectively reduce the long-term operating power consumption of the air conditioner, and achieve energy-saving effect.

[0133] According to the technical solution of the present invention, it is equipped with an online self-learning mechanism, which can automatically adapt to the pollution characteristics of different regions and seasons, such as coastal salt spray, northern willow catkins, inland dust, and high humidity condensation, and adaptively optimize algorithm parameters, with extremely strong versatility and adaptability.

[0134] According to the technical solution of the present invention, dust, salt crystals, and solidified dirt on the surface of the fins are actively removed, avoiding long-term adhesion of pollutants that corrode the metal fins of the heat exchanger. At the same time, the problems of high pressure overload and frequent protection shutdown are avoided, and the service life of the outdoor unit heat exchanger and compressor is greatly improved.

[0135] According to the technical solution of the present invention, fully automated risk monitoring, autonomous cleaning, and abnormality alerts are achieved, eliminating the need for manual inspection and judgment, and significantly reducing the after-sales maintenance costs and user operating costs of air conditioners.

[0136] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this invention and the appended claims. For example, due to the nature of software, the functions described above can be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units can be integrated into a single processing unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0138] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0139] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0140] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for cleaning and controlling an outdoor unit of an air conditioner, characterized in that, include: Collect outdoor environmental parameters and the operating parameters of the air conditioner; Based on the collected outdoor environmental parameters, the current cleaning risk index is determined using a pre-built quantitative assessment model for the cleaning risk index. Based on the determined current cleanliness risk index and the operating parameters of the air conditioner, the current pollution risk level is determined. Based on the determined current pollution risk level, the cleaning of the outdoor unit of the air conditioner shall be performed.

2. The method according to claim 1, characterized in that, The outdoor environmental parameters include at least one of the following: outdoor ambient temperature, outdoor relative humidity, air salinity, outdoor wind speed, and air particulate matter concentration. And / or, The operating parameters of the air conditioner include: compressor discharge pressure and / or outdoor fan operating current.

3. The method according to claim 1, characterized in that, Based on the collected outdoor environmental parameters, the current cleanliness risk index is determined using a pre-built cleanliness risk index quantitative assessment model, including: The quantitative assessment model expression for the cleanliness risk index is as follows: FRI = α·G(RH, SS) + β·H(T, ΔT) + γ·J(PM)] × K_wind Wherein, FRI represents the Cleanliness Risk Index; G represents the Adhesion Potential Factor; RH represents the Outdoor Relative Humidity; SS represents the Air Salinity; H represents the Condensation Dryness Factor; T represents the Outdoor Ambient Temperature; ΔT represents the difference between the Outdoor Ambient Temperature T and the Dew Point Temperature; J represents the Particulate Matter Concentration Factor; PM represents the Particulate Matter Concentration in the Air; K_wind represents the Wind Speed ​​Enhancement Coefficient; and α, β, and γ are the weights corresponding to the Adhesion Potential Factor, Condensation Dryness Factor, and Particulate Matter Concentration Factor, respectively.

4. The method according to any one of claims 1-3, characterized in that, Based on the determined current cleanliness risk index and the operating parameters of the air conditioner, the current pollution risk level is determined, including: When the cleaning risk index is greater than or equal to the first preset threshold and less than or equal to the second preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within the first preset range, the current pollution risk level is determined to be the first pollution risk level. When the cleanliness risk index is greater than or equal to the second preset threshold and less than the third preset threshold, and the compressor exhaust pressure and outdoor fan operating current fluctuate within the second preset range, the current pollution risk level is determined to be the second pollution risk level. When the cleanliness risk index is greater than or equal to the third preset threshold, or when the compressor exhaust pressure increases by a preset percentage relative to the preset benchmark value, the current pollution risk level is determined to be the third pollution risk level. The pollution risk of the first pollution risk level is lower than that of the second pollution risk level, and the pollution risk of the second pollution risk level is lower than that of the third pollution risk level.

5. The method according to any one of claims 1-3, characterized in that, Based on the determined current pollution risk level, perform cleaning of the outdoor unit of the air conditioner, including: When the current pollution risk level is determined to be the first pollution risk level, the outdoor fan is controlled to reverse operation for a second preset time every first preset time. When the current pollution risk level is determined to be the second pollution risk level, the outdoor fan is reversed, and the vibrator on the outdoor heat exchanger fins is controlled to vibrate for a fourth preset time every third preset time, and then run continuously for a fifth preset time. When the current pollution risk level is determined to be the third pollution risk level, a cleaning reminder is issued and / or the automatic sprinkler system is activated to flush the outdoor heat exchanger fins for a sixth preset time, after which the outdoor fan is controlled to rotate forward for a seventh preset time.

6. A cleaning control device for an air conditioner outdoor unit, characterized in that, include: The data acquisition unit is used to collect outdoor environmental parameters and the operating parameters of the air conditioner; The first determining unit is used to determine the current cleaning risk index based on the outdoor environmental parameters collected by the acquisition unit and using a pre-built cleaning risk index quantitative assessment model. The second determining unit is used to determine the current pollution risk level based on the current cleanliness risk index determined by the first determining unit and in combination with the operating parameters of the air conditioner. An execution unit is used to perform cleaning of the outdoor unit of the air conditioner according to the current pollution risk level determined by the second determining unit.

7. The apparatus according to claim 6, characterized in that, The outdoor environmental parameters include at least one of the following: outdoor ambient temperature, outdoor relative humidity, air salinity, outdoor wind speed, and air particulate matter concentration. And / or, The operating parameters of the air conditioner include: compressor discharge pressure and / or outdoor fan operating current.

8. A storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1-5.

9. An air conditioner, characterized in that, It includes a processor, a memory, and a computer program stored on the memory that can run on the processor, wherein the processor executes the program to implement the steps of the method of any one of claims 1-5, or includes an outdoor unit cleaning control device as described in any one of claims 6-7.

10. A computer program product, characterized in that, Includes a computer program, which, when executed by a processor, implements the steps of the method according to any one of claims 1-5.

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