Control method, device and computer readable storage medium for preventing air conditioner condensation

Abstract

This application provides a control method, apparatus, and computer-readable storage medium for preventing condensation in air conditioners. After the air conditioner enters cooling or dehumidification mode, the dew point temperature change rate, the current supply air temperature, the current dew point temperature, and the current coil temperature are acquired during a continuous sampling period. A current safe supply air temperature difference is determined based on the current supply air temperature and the current dew point temperature. A condensation risk index is generated based on the current dew point temperature, the dew point temperature change rate, the current safe supply air temperature difference, and the current coil temperature. The condensation risk index is compared with a preset risk threshold to determine the current risk level, and a corresponding control strategy is executed based on the current risk level. The control strategy includes at least one of: limiting the compressor operating frequency, increasing the target supply air temperature, and adjusting the air guide angle to a preset cold-avoidance position. This application solves the problem of untimely control response when the condensation risk rises rapidly in the prior art.

Description

Technical Field

[0001] This application relates to the field of air conditioning control technology, and more specifically, to a control method, a control device, and a computer-readable storage medium for preventing condensation in air conditioners. Background Technology

[0002] When air conditioners operate in high-temperature and high-humidity environments, condensation is prone to occur on the indoor unit's air outlet panel, air guide vanes, surrounding decorative surfaces, adjacent ceiling areas, and localized low-temperature surfaces. The core factors affecting condensation typically include indoor air temperature and humidity, dew point temperature, supply air temperature, heat exchanger surface temperature, and local airflow organization.

[0003] In existing air conditioning technologies, most anti-condensation control solutions do not respond promptly enough to the rapid increase in risk under high humidity conditions, and some solutions have significant control lag. Summary of the Invention

[0004] The main objective of this application is to provide a control method, a control device, and a computer-readable storage medium for preventing condensation in air conditioners, so as to at least solve the problem of untimely control response when the risk of condensation rises rapidly in the prior art.

[0005] To achieve the above objectives, according to one aspect of this application, a control method for preventing condensation in an air conditioner is provided, comprising: after the air conditioner enters a cooling mode or a dehumidification mode, acquiring the dew point temperature change rate, the current supply air temperature, the current dew point temperature, and the current coil temperature in a continuous sampling period; determining a current supply air safe temperature difference based on the current supply air temperature and the current dew point temperature; generating a condensation risk index based on the current dew point temperature, the dew point temperature change rate, the current supply air safe temperature difference, and the current coil temperature; comparing the condensation risk index with a preset risk threshold to determine a current risk level, and executing a corresponding control strategy based on the current risk level, wherein the control strategy includes at least one of: limiting the compressor operating frequency, increasing the target supply air temperature, and adjusting the air guide angle to a preset cold avoidance position.

[0006] Optionally, after generating a condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current supply air safe temperature difference, and the current coil temperature, the method further includes: performing a recovery operation if the number of consecutive first preset number of times the condensation risk index is lower than a total relief threshold, wherein the total relief threshold is set based on the preset risk threshold; wherein the recovery operation includes: gradually restoring the air guide angle, the internal fan speed, the compressor operating frequency, and the target supply air temperature.

[0007] Optionally, if the first preset number of consecutive condensation risk indices is lower than the total release threshold, a recovery operation is performed, including: restoring the air guide angle from the preset cold-avoidance position to the target air guide angle, where the target air guide angle is the air guide angle recorded before the anti-condensation control is triggered; reducing the internal fan speed from the current setting to the initial speed before the anti-condensation control is triggered according to a preset slope; releasing the restriction on the compressor's operating frequency and releasing the upward adjustment correction of the target air supply temperature.

[0008] Optionally, generating a condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, and the current coil temperature includes: generating a historical risk accumulation value based on the rate of change of the dew point temperature, the current safe temperature difference of the supply air, and the current coil temperature; and generating the condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, the coil temperature, and the historical risk accumulation value.

[0009] Optionally, the preset risk thresholds include a first risk threshold, a second risk threshold, a third risk threshold, and a fourth risk threshold. Comparing the condensation risk index with the preset risk thresholds to determine the current risk level includes: determining the current risk level as a first risk level when the condensation risk index is greater than or equal to the first risk threshold and less than the second risk threshold; determining the current risk level as a second risk level when the condensation risk index is greater than or equal to the second risk threshold and less than the third risk threshold; determining the current risk level as a third risk level when the condensation risk index is greater than or equal to the third risk threshold and less than the fourth risk threshold; and determining the current risk level as a fourth risk level when the condensation risk index is greater than or equal to the fourth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the second risk threshold is less than the third risk threshold, the third risk threshold is less than the fourth risk threshold, and the risk levels of the first, second, third, and fourth risk levels increase sequentially.

[0010] Optionally, a corresponding control strategy is executed based on the current risk level, including: when the current risk level is the first risk level, increasing the internal fan speed by one level from the current operating speed and adjusting the air guide angle to the preset cooling avoidance position, while prohibiting the compressor from continuing to execute the frequency increase command for a preset time; when the current risk level is the second risk level, controlling the increment of the compressor operating frequency to be less than the initial frequency increase rate, and maintaining the internal fan speed at a high speed level; when the current risk level is the third risk level, increasing the target air supply temperature by a preset degree and setting the upper limit of the compressor operating frequency to be less than the current upper limit of the compressor operating frequency, while maintaining the internal fan speed at a medium-high speed level; when the current risk level is the fourth risk level, increasing the internal fan speed to the highest level, limiting the compressor output power, and switching the air guide angle to the preset cooling avoidance position.

[0011] Optionally, after determining that the current risk level is the fourth risk level, the method further includes: if the number of consecutive preset times of the condensation risk index is lower than the fourth risk level exit threshold, downgrading the current risk level to the risk level corresponding to the current condensation risk index; wherein the fourth risk level exit threshold is set based on the fourth risk threshold.

[0012] Optionally, obtaining the current dew point temperature includes: obtaining the current indoor temperature and the current indoor humidity; and calculating the current dew point temperature using an empirical formula based on the current indoor temperature and the current indoor humidity.

[0013] According to another aspect of this application, a control device for preventing condensation in an air conditioner is provided, comprising: an acquisition unit, configured to acquire, during a continuous sampling period, the dew point temperature change rate, the current air supply temperature, the current dew point temperature, and the current coil temperature of the air conditioner after the air conditioner enters a cooling mode or a dehumidification mode; a first determination unit, configured to determine a current safe air supply temperature difference based on the current air supply temperature and the current dew point temperature; a generation unit, configured to generate a condensation risk index based on the current dew point temperature, the dew point temperature change rate, the current safe air supply temperature difference, and the current coil temperature; and a second determination unit, configured to compare the condensation risk index with a preset risk threshold to determine a current risk level, and execute a corresponding control strategy based on the current risk level, wherein the control strategy includes at least one of: limiting the compressor operating frequency, increasing the target air supply temperature, and adjusting the air guide angle to a preset cold avoidance position.

[0014] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the aforementioned control methods for preventing air conditioning condensation.

[0015] Applying the technical solution of this application, after the air conditioner enters the cooling mode or dehumidification mode, the dew point temperature change rate, the current air supply temperature, the current dew point temperature, and the current coil temperature are obtained in a continuous sampling period; the current safe temperature difference of the air supply is determined based on the current air supply temperature and the current dew point temperature; a condensation risk index is generated based on the current dew point temperature, the dew point temperature change rate, the current safe temperature difference of the air supply, and the current coil temperature; the condensation risk index is compared with a preset risk threshold to determine the current risk level, and a corresponding control strategy is executed based on the current risk level. The control strategy includes at least one of the following: limiting the compressor operating frequency, increasing the target air supply temperature, and adjusting the air guide angle to a preset cold avoidance position. This solution constructs a condensation risk index by dynamically integrating the dew point temperature change rate, supply air safety temperature difference, current dew point, and coil temperature. This enables the prediction and classification of condensation risk, improving the timeliness and accuracy of condensation warnings compared to existing passive control methods that rely solely on static temperature differences or only respond after condensation has occurred. Furthermore, it implements multi-dimensional control strategies based on risk levels, effectively suppressing risk evolution before condensation occurs and avoiding a sudden drop in cooling capacity caused by a single control method. This solves the problem of untimely control response when condensation risk rises rapidly in existing technologies. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for implementing a control method to prevent air conditioning condensation, according to an embodiment of this application, is shown.

[0018] Figure 2 A schematic flowchart of a control method for preventing condensation in an air conditioner, according to an embodiment of this application, is shown.

[0019] Figure 3 A schematic diagram of the progressive recovery process of a control method for preventing condensation in an air conditioner according to an embodiment of this application is shown.

[0020] Figure 4 A flowchart illustrating a specific control method for preventing condensation in an air conditioner according to an embodiment of this application is shown.

[0021] Figure 5 A schematic diagram illustrating the condensation risk index construction logic of a specific control method for preventing air conditioning condensation according to an embodiment of this application is shown.

[0022] Figure 6 A risk level and control strategy correspondence diagram is shown for a specific control method for preventing air conditioning condensation according to an embodiment of this application;

[0023] Figure 7 A structural block diagram of a control device for preventing condensation in an air conditioner, according to an embodiment of this application, is shown.

[0024] The above figures include the following reference numerals:

[0025] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. Detailed Implementation

[0026] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application 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 for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover 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.

[0029] As described in the background section, most existing anti-condensation control schemes do not respond promptly enough to the rapid increase in risk under high humidity conditions, and some schemes have significant control lag. To solve the problem of untimely control response when the risk of condensation rises rapidly, embodiments of this application provide a control method, a control device, and a computer-readable storage medium for preventing air conditioning condensation.

[0030] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0031] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a control method to prevent condensation in air conditioners, according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0032] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the control method for preventing air conditioning condensation in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0033] This embodiment provides a control method for preventing air conditioning condensation that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0034] Figure 2 This is a schematic flowchart of a control method for preventing condensation in air conditioners according to an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0035] Step S201: After the air conditioner enters the cooling mode or dehumidification mode, acquire the dew point temperature change rate, the current air supply temperature, the current dew point temperature and the current coil temperature of the air conditioner in the continuous sampling period.

[0036] Specifically, when the air conditioner starts cooling or dehumidifying, key parameters are continuously acquired in chronological order (continuous sampling period): dew point temperature change rate V_dp(k), current supply air temperature T_supply(k), current dew point temperature DP(k), and current coil temperature T_coil(k). The dew point temperature change rate indicates whether the indoor air humidity is rising, falling, or remaining stable in a short period. The current supply air temperature characterizes the low-temperature air state near the air outlet and, together with the dew point temperature, determines the likelihood of condensation forming on a local low-temperature surface. The current supply air temperature can be measured by a temperature sensor located inside the air outlet. The current dew point temperature mainly describes the current humidity level in the air and the critical temperature for condensation. The current coil temperature reflects the cooling intensity and low-temperature state of the evaporator, preferably using the measured value from the evaporator coil temperature sensor. This is because a sustained low coil temperature usually leads to a further decrease in supply air temperature, thereby increasing the probability of a low-temperature surface forming in the air outlet area. When the coil temperature is low and maintained for a long time, even if the current dew point temperature has not yet reached an extremely high level, it may quickly reach the condensation boundary. Step S201 establishes the foundation for dynamic, multidimensional, and continuous monitoring of condensation-related parameters.

[0037] Step S202: Determine the current safe temperature difference of the supply air based on the current supply air temperature and the current dew point temperature.

[0038] Specifically, the current supply air safe temperature difference is determined using the formula ΔT_s(k)=T_supply(k)-DP(k), where ΔT_s(k) is the current supply air safe temperature difference, T_supply(k) is the current supply air temperature, and DP(k) is the current dew point temperature.

[0039] If the current safe supply air temperature difference ΔT_s(k) gradually decreases and approaches zero, it indicates that the supply air state is getting closer to the condensation boundary; if the dew point temperature change rate V_dp(k) is continuously positive and greater than the preset rate threshold, it indicates that the indoor moisture load is continuously increasing. The purpose of introducing trend extraction is to solve the identification problem in existing technologies where "the current dew point has not yet reached the danger value, but it is likely to enter the danger zone in a few minutes." Compared with schemes that only compare dew points at a certain moment, trend extraction can provide an earlier intervention opportunity. Existing technologies mostly use the current temperature difference comparison or condensation occurrence determination as the main triggering conditions, while this application further incorporates the time dimension into the control logic.

[0040] Step S203: Generate a condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, and the current coil temperature.

[0041] Specifically, by integrating four parameters—current dew point temperature, rate of change of dew point temperature, current supply air safe temperature difference, and current coil temperature—a quantitative index reflecting the overall risk level of condensation is constructed: the condensation risk index. These four parameters quantify the evolution trend of condensation risk from four dimensions: environmental state, dynamic trend, boundary proximity, and system response. The level of the condensation risk index represents the overall urgency of condensation under the current operating conditions, providing a comprehensive decision-making basis for subsequently determining the risk level based on thresholds and triggering corresponding control strategies, thereby achieving a shift from passive response to proactive prediction in control.

[0042] Step S204: Compare the above-mentioned condensation risk index with the preset risk threshold to determine the current risk level, and execute the corresponding control strategy based on the current risk level. The control strategy includes at least one of the following: limiting the compressor operating frequency, increasing the target air supply temperature, and adjusting the air guide angle to the preset cold avoidance position.

[0043] Specifically, the condensation risk index generated in step S203 is compared with a preset risk threshold to determine the current risk level of the air conditioning system (e.g., low, medium, high, or higher). The risk level is not based on a single instantaneous value, but rather dynamically determined according to the relative magnitude of the risk index. Essentially, it discretizes the continuous risk assessment results into several controllable intervention levels. Each level corresponds to one or more targeted control actions to ensure that the response intensity matches the risk level.

[0044] Based on the determined risk level, at least one control strategy should be selected and implemented: limiting the compressor operating frequency to reduce cooling capacity, increasing the target supply air temperature to raise the outlet air temperature, or adjusting the air guide angle to a preset cold-avoidance position to avoid surfaces prone to condensation. These strategies are not fixed or singular but can be combined to form a flexible and coordinated intervention mechanism. The core principle is to apply influence in a graded and targeted manner according to the severity of the risk, proactively suppressing the evolution of risk before condensation occurs, thus shifting from post-event intervention to pre-event prevention.

[0045] This embodiment constructs a condensation risk index by dynamically integrating the dew point temperature change rate, supply air safety temperature difference, current dew point, and coil temperature. This enables the prediction and classification of condensation risk, improving the timeliness and accuracy of condensation warnings compared to existing passive control methods that rely solely on static temperature differences or only respond after condensation has occurred. Furthermore, by implementing multi-dimensional control strategies based on risk levels, the evolution of risk can be effectively suppressed before condensation occurs, while avoiding a sudden drop in cooling capacity caused by a single control method. This solves the problem of untimely control response when condensation risk rises rapidly in existing technologies.

[0046] In the specific implementation process, after generating the condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, and the current coil temperature, the method further includes: performing a recovery operation when the number of consecutive first preset number of times the condensation risk index is lower than the total relief threshold, wherein the total relief threshold is set based on the preset risk threshold; wherein the recovery operation includes: gradually restoring the air guide angle, the internal fan speed, the compressor operating frequency, and the target supply air temperature.

[0047] Specifically, this embodiment is essentially a gradual recovery mechanism. Its core is that when the condensation risk index remains below a pre-set total relief threshold for a first preset number of times, it no longer immediately reverts to the original full-power cooling state. Instead, it initiates a sequential, slow recovery operation on multiple execution parameters. The total relief threshold is set based on the aforementioned preset risk threshold, ensuring that the recovery action is triggered only after the risk has truly and stably been eliminated, avoiding erroneous recovery due to short-term fluctuations.

[0048] By initiating a gradual recovery mechanism for the air guide angle, internal fan speed, compressor frequency, and target supply air temperature after the condensation risk index continuously meets the condition of being below the total relief threshold, the air conditioning system effectively avoids frequent start-stop of anti-condensation control due to short-term fluctuations in risk in high humidity environments. This improves the stability of system operation and the comfort of user experience, achieves a smooth transition between anti-condensation intervention and normal cooling mode, and prevents the risk of secondary condensation caused by excessively rapid recovery.

[0049] Furthermore, if the first preset number of consecutive condensation risk indices is lower than the total release threshold, a recovery operation is performed, including: restoring the air guide angle from the preset cold avoidance position to the target air guide angle, where the target air guide angle is the air guide angle recorded before the anti-condensation control is triggered; reducing the internal fan speed from the current setting to the initial speed before the anti-condensation control is triggered according to the preset slope; removing the restriction on the compressor operating frequency and removing the upward adjustment correction of the target air supply temperature.

[0050] Specifically, when the condensation risk index R is lower than the total relief threshold R0 for the first preset number of times (N0 times), the gradual recovery phase begins. A schematic diagram of the gradual recovery process is shown below. Figure 3 As shown, restore each execution quantity step by step in the following order:

[0051] 1. First, restore the air guide angle. Specifically, before entering the anti-condensation control phase, record the current target air guide angle θ0. θ0 can be the user-set air guide angle, the target air guide angle determined by the automatic swing algorithm before the risk is triggered, or the air guide angle of the last stable operation before the anti-condensation control is triggered. After entering the gradual recovery phase, prioritize gradually restoring the air guide angle from the preset cooling position to θ0.

[0052] When θ0 is unavailable, the air guide angle can be restored to the user's currently set air guide angle or the model's default comfortable air supply angle. If θ0 or the user's currently set air guide angle is within the preset condensation-prone angle range, the air guide angle can be restored to the safe air guide angle closest to θ0, or the restoration of the air guide angle can be delayed until the condensation risk index R is lower than the total relief threshold R0 for N0 consecutive times.

[0053] In a preferred embodiment, the wind guide angle recovery is performed gradually, with a recovery speed of 1° / s to 5° / s, or adjusted by 5° to 10° every 5s to 20s, to avoid sudden changes in the air supply direction that could cause fluctuations in perceived temperature.

[0054] The air guide angle θ is used to characterize the air outlet direction of the air guide blades or air guide mechanism. Preferably, the horizontal airflow direction in front of the air outlet is taken as 0°, with downward deflection of the air guide blades as a positive angle and upward deflection as a negative angle. The adjustable range of the air guide angle θ is -30° to 90°. In anti-condensation control, the air guide angle can be adjusted to a preset cold avoidance angle range, such as 10° to 45°, or to the cold avoidance position specified according to the model structure, so that the low-temperature airflow avoids the edge of the ceiling, the edge of the air outlet panel, the end of the air guide blades, or other areas prone to condensation.

[0055] 2. Then reduce the wind speed according to the preset slope, gradually returning from the high wind speed setting to the initial operating setting to prevent indoor temperature fluctuations or airflow disturbances caused by a sudden drop in wind speed.

[0056] 3. Finally, remove the compressor frequency limit and restore the target air supply temperature correction to gradually return the cooling capacity to normal settings.

[0057] The total time taken for each parameter to fully recover to its original settings from the start-up is preferably between 30 and 180 seconds.

[0058] The reason for using gradual recovery is that if the system immediately resumes full cooling once the risk decreases in a high-humidity environment, the safe temperature difference for the supply air may quickly drop below the limit again, causing the system to oscillate back and forth. Gradual recovery can reduce the probability of secondary triggering.

[0059] By prioritizing the restoration of the air guide angle to the target angle recorded before the anti-condensation trigger, then gradually reducing the wind speed with a preset slope, and finally releasing the compressor frequency limit and supply air temperature correction, a sequential and smooth recovery is achieved when the anti-condensation control exits. This effectively avoids airflow impact, sudden temperature rise, or physical discomfort caused by parameter mutations, thus improving user comfort. At the same time, this step-by-step recovery mechanism, in conjunction with the continuous and stable release conditions of the risk index, fundamentally suppresses the repeated oscillations of the control system in high humidity environments, ensuring that the system smoothly returns to its original operating state after the risk is eliminated.

[0060] In some embodiments of the present application, a dew condensation risk index is generated based on the above-mentioned current dew point temperature, the above-mentioned rate of change of the dew point temperature, the above-mentioned current supply air safety temperature difference, and the above-mentioned current coil temperature, including: generating a historical risk accumulation value based on the above-mentioned rate of change of the dew point temperature, the above-mentioned current supply air safety temperature difference, and the above-mentioned current coil temperature; generating the above-mentioned dew condensation risk index based on the above-mentioned current dew point temperature, the above-mentioned rate of change of the dew point temperature, the above-mentioned current supply air safety temperature difference, the above-mentioned current coil temperature, and the above-mentioned historical risk accumulation value.

[0061] Specifically, in order to avoid misjudging and entering a high-risk state due to only one short-term fluctuation, the present application sets a historical risk accumulation value A. Preferably, the historical risk accumulation value A is calculated according to the decay integral method: A(k)=λ·A(k - 1)+g(k), where k represents the current sampling time, A(k - 1) represents the historical risk accumulation value at the previous sampling time, λ is the decay coefficient, and g(k) is the total risk increment in the current sampling period.

[0062] The decay coefficient λ is used to characterize the retention degree of the historical risk accumulation value. The closer λ is to 1, the longer the historical risk retention time; the smaller λ is, the faster the historical risk decays. Preferably, λ can be determined according to the sampling period Δt and the preset risk memory time constant τ, for example, satisfying: λ = e^(-Δt / τ), where Δt is the sampling period and τ is the risk memory time constant. τ can be determined according to the air conditioner indoor unit structure, the duct thermal inertia, the evaporator heat transfer characteristics, and the test results of water hanging at the air outlet under high humidity conditions, and is preferably 20s - 60s. When the sampling period Δt is 1s - 5s, λ can take 0.80 - 0.98, and more preferably 0.90 - 0.96.

[0063] g(k) is the total risk increment in the current sampling period, which is not a single risk increment, but consists of at least one risk increment component. Preferably, g(k) can be expressed as g(k)=G1(k)+G2(k)+G3(k), where G1(k) is the risk increment of the rate of change of the dew point temperature, G2(k) is the risk increment of the supply air safety temperature difference, and G3(k) is the risk increment of the continuous low temperature of the coil.

[0064] When the rate of change of the dew point temperature V_dp(k)>V1, G1(k)=a1; otherwise G1(k)=0.

[0065] When the current supply air safety temperature difference ΔT_s(k)<D1, G2(k)=a2; otherwise G2(k)=0.

[0066] When the current coil temperature T_coil(k)<C1 and the duration exceeds t1, G3(k)=a3; otherwise G3(k)=0.

[0067] Wherein, a1, a2, and a3 are the first risk increment, the second risk increment, and the third risk increment, respectively. Preferably, a1 can be 0.05 to 0.15, a2 can be 0.10 to 0.30, and a3 can be 0.10 to 0.25. In one specific embodiment, a1=0.10, a2=0.20, and a3=0.15.

[0068] The first risk increment a1 reflects the risk caused by a rapid increase in indoor dew point temperature; the second risk increment a2 reflects the risk caused by the supply air temperature being close to or below the dew point temperature; and the third risk increment a3 reflects the risk of a further decrease in supply air temperature due to the continuous low temperature of the evaporator coil. Since the current safe supply air temperature difference ΔT_s is directly related to the condensation boundary, the second risk increment a2 is preferably not less than the first risk increment a1.

[0069] The current coil temperature T_coil(k) represents the temperature of the evaporator coil. Preferably, T_coil(k) is the measured value of the coil temperature sensor located in the middle or lower part of the evaporator, near the low-temperature area of ​​the main air supply. When multiple coil temperature measuring points are set on the indoor unit of the air conditioner, T_coil(k) can be the lowest, average, or weighted value among the evaporator inlet temperature, middle temperature, and outlet temperature. Further optimization uses the lowest value or the weighted value of the low-temperature area to improve the conservatism of the condensation risk assessment. Since the installation position of the temperature sensor affects the coil temperature reading, the first coil temperature threshold C1 is calibrated corresponding to the measurement position of T_coil(k). That is, when T_coil(k) is obtained using different measuring points or different weighting methods, C1 can be adjusted according to the prototype test data at the corresponding measuring point.

[0070] Among them, V1 is preferably 0.01℃ / s~0.03℃ / s, D1 is preferably 2.0℃~3.0℃, C1 is preferably 8℃~11℃, and t1 is preferably 30s~90s. The above thresholds and the specific values ​​of a1, a2, and a3 can be obtained through prototype testing, observation of water dripping from air vents, and calibration of operating data under different temperature and humidity conditions.

[0071] The significance of setting a historical risk accumulation value is that for operating conditions that are truly prone to condensation, the dangerous state usually persists for a period of time; while for temporary sensor fluctuations or occasional wind speed changes, the risk will not accumulate in the long term. By introducing a historical risk accumulation value A, condensation risk can be assessed more robustly, and the probability of falsely triggering high-level anti-condensation controls can be reduced.

[0072] Within each cycle, the current dew point temperature DP, the rate of change of dew point temperature V_dp, the current supply air safe temperature difference ΔT_s, the coil temperature T_coil, and the historical cumulative risk value A are normalized, and a risk index R (i.e., condensation risk index) is constructed. Preferably, it can be calculated as follows:

[0073] R=w1·N_DP(DP)+w2·N_V(V_dp)+w3·N_S(ΔT_s)+w4·N_C(T_coil)+w5·N_A(A);

[0074] Wherein, N_DP(DP) is the dew point temperature normalization function, N_V(V_dp) is the dew point temperature change rate normalization function, N_S(ΔT_s) is the supply air safety temperature difference normalization function, N_C(T_coil) is the coil low temperature state normalization function, and N_A(A) is the historical risk accumulation value normalization function; the output range of each normalization function is 0 to 1, and the larger the output value, the higher the corresponding risk contribution.

[0075] In a preferred embodiment, N_DP(DP) can be determined as follows:

[0076] When DP ≤ DP_L, N_DP(DP) = 0; when DP ≥ DP_H, N_DP(DP) = 1; when DP_L < DP < DP_H, N_DP(DP) = (DP - DP_L) / (DP_H - DP_L). Wherein, DP_L is the low dew point reference value, and DP_H is the high dew point reference value. Preferably, DP_L can be taken as 18℃~21℃, and DP_H can be taken as 24℃~27℃. In one specific embodiment, DP_L = 20℃, and DP_H = 26℃.

[0077] In a preferred embodiment, N_V(V_dp) can be determined as follows:

[0078] When V_dp ≤ V_L, N_V(V_dp) = 0; when V_dp ≥ V_H, N_V(V_dp) = 1; when V_L < V_dp < V_H, N_V(V_dp) = (V_dp - V_L) / (V_H - V_L). Where V_L is a low-risk reference value for the rate of change of dew point temperature, and V_H is a high-risk reference value for the rate of change of dew point temperature. Preferably, V_L can be taken as 0℃ / s to 0.005℃ / s, and V_H can be taken as 0.02℃ / s to 0.04℃ / s. In one specific embodiment, V_L = 0.005℃ / s, and V_H = 0.03℃ / s.

[0079] In a preferred embodiment, N_S(ΔT_s) can be determined as follows:

[0080] When ΔT_s ≥ D_H, N_S(ΔT_s) = 0; when ΔT_s ≤ D_L, N_S(ΔT_s) = 1; when D_L < ΔT_s < D_H, N_S(ΔT_s) = (D_H - ΔT_s) / (D_H - D_L). Where D_H is the low-risk reference value for the supply air safety temperature difference, and D_L is the high-risk reference value for the supply air safety temperature difference. Preferably, D_H can be taken as 4℃ to 6℃, and D_L can be taken as -1℃ to 1℃. In one specific embodiment, D_H = 5℃, and D_L = 0℃. That is, when the supply air temperature is more than 5℃ higher than the dew point temperature, the risk contribution corresponding to the supply air safety temperature difference can be taken as 0; when the supply air temperature is equal to or lower than the dew point temperature, the risk contribution corresponding to the supply air safety temperature difference can be taken as 1; a linear mapping is performed between 0℃ and 5℃.

[0081] In a preferred embodiment, N_C(T_coil) can be determined as follows:

[0082] When T_coil ≥ C_H, N_C(T_coil) = 0; when T_coil ≤ C_L, N_C(T_coil) = 1; when C_L < T_coil < C_H, N_C(T_coil) = (C_H - T_coil) / (C_H - C_L). Wherein, C_H is the low-risk reference value for the coil at low temperature, and C_L is the high-risk reference value for the coil at low temperature. Preferably, C_H can be taken as 12℃~15℃, and C_L can be taken as 7℃~10℃. In one specific embodiment, C_H = 14℃, and C_L = 9℃. Since the measurement position of T_coil affects the temperature reading, C_H and C_L can be calibrated corresponding to the installation position of the coil temperature sensor.

[0083] In a preferred embodiment, N_A(A) can be determined as follows:

[0084] When A ≤ A_L, N_A(A) = 0; when A ≥ A_H, N_A(A) = 1; when A_L < A < A_H, N_A(A) = (A - A_L) / (A_H - A_L). Where A_L is the historical cumulative low-risk reference value, and A_H is the historical cumulative high-risk reference value. Preferably, A_L can be 0 to 0.3, and A_H can be 1.0 to 3.0. In one specific embodiment, A_L = 0.2, and A_H = 2.0.

[0085] This method employs normalization and weighting to facilitate control implementation and to address the differences in the dimensions and ranges of variation of various parameters. The weights can be adjusted based on product test results, but should at least meet the following principles: First, the supply air safety temperature difference is most sensitive to the condensation boundary and should be given a higher weight; second, the rate of change of dew point temperature reflects the speed of risk escalation and should be retained as a separate weight; third, historical risk accumulation values ​​are used to stabilize the judgment results and prevent erroneous actions; fourth, the low-temperature state of the coil is used to compensate for any lag that may result from judging solely from the supply air side.

[0086] Through the above piecewise linear normalization process, DP, V_dp, ΔT_s, T_coil, and A, which have different dimensions, can be converted into a unified risk contribution value of 0 to 1, facilitating weighted calculation. The inflection point parameters DP_L, DP_H, V_L, V_H, D_L, D_H, C_L, C_H, A_L, and A_H can be calibrated according to the structure of different models, air supply methods, temperature sensing bulb locations, and the results of vent water retention tests under high temperature and high humidity conditions.

[0087] w1 to w5 are weighting coefficients, corresponding to the contributions of the current dew point temperature, the rate of change of dew point temperature, the safe temperature difference of the supply air, the low temperature state of the coil, and the historical cumulative risk value to the condensation risk index R, respectively. Preferably, w1 to w5 are all non-negative numbers and satisfy: w1+w2+w3+w4+w5=1.

[0088] The weighting coefficients w1 to w5 can be determined based on the correlation between the parameters and the risk of condensation. In a preferred embodiment, the weighting coefficients can be determined as follows:

[0089] First, initial weights are established based on the condensation formation mechanism and expert experience. Since the supply air safety temperature difference ΔT_s directly reflects the proximity between the supply air temperature and the dew point temperature, and has the most direct relationship with the condensation boundary at the air outlet, the weight w3 corresponding to the supply air safety temperature difference is preferably set to the highest. The dew point temperature DP, the rate of change of the dew point temperature V_dp, and the historical risk accumulation value A reflect the air humidity state, the rate of increase of the wet load, and the degree of risk persistence, respectively. Therefore, w1, w2, and w5 are set to medium weights. The low temperature state of the coil T_coil is used to compensate for the trend of supply air temperature change and cooling intensity, and its weight w4 can be set as an auxiliary weight.

[0090] Secondly, the analytic hierarchy process (AHP) can be used to determine the initial weights. Specifically, the current dew point temperature, the rate of change of dew point temperature, the safe temperature difference of the supply air, the low temperature status of the coil, and the historical cumulative risk value are used as evaluation factors. A judgment matrix is ​​established based on the relative importance of each evaluation factor to the condensation risk, and the consistency of the judgment matrix is ​​checked. After the consistency check meets the requirements, the initial weight vector W0 = (w10, w20, w30, w40, w50) is obtained.

[0091] Secondly, the initial weights can be corrected using prototype test data. Specifically, multiple sets of sample data are collected under different conditions, including high temperature and humidity, different fan speeds, different compressor frequencies, different air guide angles, and different installation environments. Each set of sample data includes normalized N_DP(DP), N_V(V_dp), N_S(ΔT_s), N_C(T_coil), and N_A(A), as well as the corresponding condensation status label. This condensation status label can be determined based on whether condensation, water film, or water droplets appear on the lower edge of the air vent, the air guide blades, the panel surface, or adjacent decorative surfaces.

[0092] In one specific implementation, the weight coefficients can be determined by constrained regression fitting. That is, the normalized risk contribution values ​​are used as independent variables, and the condensation status label or condensation risk level is used as the target value. The weight coefficients that satisfy wi≥0 and Σwi=1 are solved to minimize the error between the condensation risk index R and the actual condensation risk.

[0093] In a preferred embodiment, based on the above physical mechanism analysis and prototype test calibration results, w1 to w5 can be taken as 0.20, 0.20, 0.30, 0.10, and 0.20, respectively. This set of weights indicates that the supply air safety temperature difference has the greatest impact on the condensation risk, followed by the current dew point temperature, the rate of dew point change, and the historical risk accumulation value, with the low temperature state of the coil serving as an auxiliary compensation term. For different models, different duct structures, different sensor arrangements, and different anti-condensation protection strengths, w1 to w5 can be recalibrated through prototype tests, but should remain non-negative and their sum should be 1.

[0094] By first dynamically generating a historical risk accumulation value reflecting the persistence of dangerous conditions based on the dew point temperature change rate, the current supply air safe temperature difference, and the current coil temperature, and then incorporating this historical risk accumulation value and the current real-time parameters into the risk index calculation, the anti-interference and stability of condensation risk assessment are improved. This not only avoids false triggering caused by instantaneous sensor fluctuations or brief operating condition disturbances, but also effectively identifies real high-risk scenarios such as continuous high humidity and low supply air temperature difference.

[0095] In some embodiments of this application, the preset risk thresholds include a first risk threshold, a second risk threshold, a third risk threshold, and a fourth risk threshold. Comparing the condensation risk index with the preset risk thresholds to determine the current risk level includes: determining the current risk level as a first risk level when the condensation risk index is greater than or equal to the first risk threshold and less than the second risk threshold; determining the current risk level as a second risk level when the condensation risk index is greater than or equal to the second risk threshold and less than the third risk threshold; determining the current risk level as a third risk level when the condensation risk index is greater than or equal to the third risk threshold and less than the fourth risk threshold; and determining the current risk level as a fourth risk level when the condensation risk index is greater than or equal to the fourth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the second risk threshold is less than the third risk threshold, the third risk threshold is less than the fourth risk threshold, and the risk levels of the first, second, third, and fourth risk levels increase sequentially.

[0096] Specifically, after obtaining the condensation risk index R, it is compared with four threshold levels (preset risk thresholds) to determine the risk level. The preset risk thresholds include a first risk threshold R1, a second risk threshold R2, a third risk threshold R3, and a fourth risk threshold R4, where R1 < R2 < R3 < R4. Each risk threshold level can be calibrated based on the results of condensation tests on the air vents under different temperature and humidity conditions, different fan speeds, different compressor frequencies, and different air guide angles. Specifically, under high temperature and high humidity conditions, the correlation between the condensation risk index R and the appearance of condensation, water film, or water droplets on the lower edge of the air vent, air guide blades, panel surface, or adjacent decorative surfaces can be recorded. This correlation is then combined with the current safe supply air temperature difference ΔT_s, the current coil temperature T_coil, the dew point temperature change rate V_dp, and the changing trend of the historical cumulative risk value A to determine the risk thresholds for each level.

[0097] The first risk threshold R1 is used to identify the initial rising state of condensation risk, enabling light intervention before actual condensation occurs; the second risk threshold R2 is used to identify the state of significantly increased condensation risk, limiting the compressor's rapid frequency increase and correcting the throttling components; the third risk threshold R3 is used to identify the state approaching the condensation threshold, causing it to enter a light dehumidification priority or significant suppression control; the fourth risk threshold R4 is used to identify a high-risk state where water may accumulate or condensation may occur on the panel in a short period of time, causing it to enter a forced anti-condensation mode.

[0098] In a preferred embodiment, when the condensation risk index R ranges from 0 to 1, the first risk threshold R1 can be 0.30 to 0.45, the second risk threshold R2 can be 0.50 to 0.65, the third risk threshold R3 can be 0.70 to 0.85, and the fourth risk threshold R4 can be 0.85 to 0.95. In a specific embodiment, R1 = 0.35, R2 = 0.55, R3 = 0.75, and R4 = 0.90.

[0099] When R < R1, the current situation is determined to be low risk or no obvious condensation risk; when R ≥ R1 and R < R2, the current situation is determined to be level 1 risk (first risk level); when R ≥ R2 and R < R3, the current situation is determined to be level 2 risk (second risk level); when R ≥ R3 and R < R4, the current situation is determined to be level 3 risk (third risk level); when R ≥ R4, the current situation is determined to be level 4 risk (fourth risk level).

[0100] The aforementioned risk thresholds can be adjusted based on different air conditioning models, air supply structures, installation locations, sensor arrangements, and target anti-condensation protection strengths, but should satisfy R1 < R2 < R3 < R4 to form a graded intervention logic from light to heavy.

[0101] The above risk threshold setting principles are as follows: the first risk level is used to capture initial risks and intervene lightly; the second risk level is used to prevent the system from rapidly developing into a dangerous area; the third risk level is used to significantly suppress condensation when approaching the critical condensation state; and the fourth risk level is used to avoid actual condensation in a short period of time. Thresholds can be obtained through prototype testing, observation of water dripping from vents, and operating condition calibration. Different models can use different threshold sets.

[0102] By setting four progressively increasing risk thresholds (R1 < R2 < R3 < R4), the condensation risk index is divided into four levels from low to high, enabling precise segmentation of the condensation risk evolution process. Level 1 risk triggers light intervention to slow the risk escalation; Level 2 risk inhibits rapid compressor frequency increase to slow the evaporation temperature drop; Level 3 risk initiates a light dehumidification priority strategy to reduce indoor humidity load; and Level 4 risk enters a mandatory anti-condensation mode to prevent condensation buildup. This tiered judgment mechanism ensures precise matching of control actions with the risk development stage, avoiding the lag of single threshold judgments and improving proactive prevention capabilities in the early stages of risk and timely response capabilities in critical states.

[0103] In some embodiments of this application, a corresponding control strategy is executed based on the current risk level, including: when the current risk level is the first risk level, increasing the internal fan speed by one level from the current operating speed and adjusting the air guide angle to the preset cooling avoidance position, while prohibiting the compressor from continuing to execute the frequency increase command for a preset time; when the current risk level is the second risk level, controlling the increment of the compressor operating frequency to be less than the initial frequency increase rate, and maintaining the internal fan speed at a high speed level; when the current risk level is the third risk level, increasing the target air supply temperature by a preset degree and setting the upper limit of the compressor operating frequency to be less than the current compressor operating frequency upper limit, while maintaining the internal fan speed at a medium-high speed level; when the current risk level is the fourth risk level, increasing the internal fan speed to the highest level, limiting the compressor output power, and switching the air guide angle to the preset cooling avoidance position.

[0104] Specifically, when R reaches the first risk threshold R1 (i.e., the current risk level is the first risk level), it indicates an initial condensation trend, but it has not yet approached the actual water discharge state. At this time, light intervention is implemented, including:

[0105] Increase the internal fan speed by one level or by 5% to 15%;

[0106] Adjust the air guide angle appropriately to prevent cold air from condensing on ceiling edges, air outlet panel edges, guide vane tips, or other areas prone to condensation. In a preferred embodiment, the air guide angle θ is defined as 0° with the horizontal airflow direction in front of the air conditioner outlet. A positive angle is defined as the guide vane deflecting downwards, and a negative angle is defined as the guide vane deflecting upwards. The adjustable range of the air guide angle θ is preferably -30° to 90°. -30° to 0° corresponds to areas with upward or near-horizontal airflow, while 0° to 90° corresponds to areas where horizontal airflow gradually deflects downwards. When the first risk level is reached, the air guide angle θ is adjusted from the current angle to a preset cold-avoidance angle range (preset cold-avoidance position), or by a preset correction amount based on the current angle. Preferably, the preset correction amount is 5° to 20°, and the preset cold-avoidance angle range is 10° to 45°. This adjustment prevents the low-temperature airflow from adhering to the ceiling, panel edges, or localized areas of the guide vane for extended periods, thereby reducing the probability of condensation forming on localized low-temperature surfaces. For air conditioners with different air outlet structures, the reference direction and angle range of the air guide angle can be defined according to the mechanical limit of the air guide mechanism, but it should at least meet the following requirements: the air guide mechanism can be adjusted to a preset cold avoidance position so that the low temperature airflow avoids the area prone to condensation.

[0107] Limit the compressor from rapidly increasing its frequency within a preset time (a short period, such as 10s to 300s).

[0108] This strategy can increase the local surface heat exchange temperature by moderately increasing the wind speed, reduce low-temperature cold spots, and have little impact on the overall cooling capacity; the guide angle correction can reduce the direct impact of low-temperature airflow on surfaces prone to condensation.

[0109] When R reaches the second risk threshold R2 (i.e., the current risk level is the second risk level), it indicates that the risk of condensation has increased significantly. At this time, further measures should be taken based on the first-level measures: limit the rate of increase of the compressor frequency to 20% to 60% of the original; correct the opening of the electronic expansion valve to moderately increase the evaporation temperature; extend the high-speed operation time and reduce the duration of low temperature near the air outlet.

[0110] This step addresses the issue that if the compressor continues to rapidly lower the evaporator temperature, the condensation threshold may be quickly exceeded even if no water has yet formed. Limiting the rate of increase in frequency and moderately raising the evaporator temperature can delay the escalation of the risk while maintaining cooling capacity as much as possible.

[0111] When R reaches the third risk threshold R3 (i.e., the current risk level is the third risk level), it indicates that the condensation critical state is approaching. At this time, it is preferable to switch to a light dehumidification priority strategy, which specifically includes: increasing the target supply air temperature by 1℃ to 3℃; reducing the compressor frequency upper limit by 5% to 20%; maintaining medium to high fan speed operation; and appropriately adjusting the set temperature correction amount to reduce the latent heat load priority.

[0112] Setting a light dehumidification priority is because simply pursuing a low supply air temperature under high humidity conditions may worsen condensation. Instead, moderately reducing the latent heat load and lowering the indoor air dew point first is more conducive to restoring normal cooling later.

[0113] When risk level R reaches the fourth risk threshold R4 (i.e., the current risk level is the fourth risk level), it indicates that without immediate intervention, there is a high probability of water dripping from the vents, condensation on the panels, or dampness on adjacent surfaces in a short period of time. At this time, the forced anti-condensation mode is activated, which includes: forcibly increasing the fan speed to a high setting; temporarily reducing the compressor load or limiting its frequency; switching the air guide angle to a preset cooling avoidance position, which can be an angle within a preset cooling avoidance angle range, such as 10° to 45°, or a pre-marked air guide angle position based on the air duct structure and installation location of the model; when the model has a multi-outlet structure, prioritizing the closure or reduction of airflow in areas prone to condensation; and when the model has an additional heating element, it can also perform local heating in conjunction with the operation.

[0114] The duration of the compressor's short-term load reduction or frequency limiting operation can be from 10s to 300s, preferably from 30s to 120s. During this duration, the indoor ambient temperature and humidity, supply air temperature, and coil temperature are collected again according to the preset control cycle, and the condensation risk index R is recalculated. If the condensation risk index R has been lower than the third risk threshold R3 or the corresponding release threshold for a preset number of consecutive times before the duration expires, the fourth-level risk control can be exited in advance, and the system can be switched to the third-level risk control or enter the risk release judgment process. If the condensation risk index R is still not lower than the fourth risk threshold R4 after the duration expires, the forced anti-condensation mode will continue to be maintained or the next round of short-term load reduction or frequency limiting control will be executed.

[0115] This strategy corresponds to the protective control under the most unfavorable operating conditions, and its purpose is to quickly bring back the safe temperature difference of the supply air before condensation occurs.

[0116] This embodiment is based on a four-level risk level, with corresponding control strategies for each level. The first risk level involves early intervention through a slight increase in fan speed and airflow to avoid cold. The second risk level limits the compressor's frequency increase rate to delay excessively low evaporation temperatures. The third risk level prioritizes mild dehumidification by increasing the target supply air temperature and lowering the upper frequency limit. The fourth risk level enforces full fan speed, frequency limiting, load reduction, and locking the airflow angle to avoid cold for emergency protection. This strategy executes actions progressively according to the risk level, balancing the effectiveness of anti-condensation measures with cooling capacity and comfort, avoiding fluctuations in perceived comfort or energy waste caused by sudden changes in a single parameter.

[0117] In some embodiments of this application, after determining that the current risk level is the fourth risk level, the method further includes: if the number of consecutive preset times of the condensation risk index is lower than the fourth risk level exit threshold, downgrading the current risk level to the risk level corresponding to the current condensation risk index; wherein the fourth risk level exit threshold is set based on the fourth risk threshold.

[0118] Specifically, after implementing any level of anti-condensation strategy, it does not remain fixed, but rather resamples and recalculates the condensation risk index R in each subsequent control cycle. To avoid frequent changes in risk level, this application sets a level exit threshold and a total release threshold. The level exit threshold is used to determine whether to exit the currently implemented risk level or downgrade to a lower risk level. The currently implemented risk level is not the highest historical risk level, but the currently implemented anti-condensation control level. For the i-th level of risk control, its level exit threshold Rri can be 10% to 20% lower than the level entry threshold Ri, i.e.: Rri = Ri × (1 - ηi), where ηi is the level hysteresis coefficient, preferably 0.10 to 0.20, i = 1, 2, 3, 4. When implementing risk control at the fourth risk level, if the condensation risk index R falls below the fourth risk level exit threshold Rr4 for N4 consecutive times, the fourth risk control will be exited, and the risk level will be downgraded to the third, second, or first risk control level, or enter the overall release decision process, depending on the current range of the condensation risk index R. Instead of directly entering the gradual recovery phase according to the fourth risk level exit threshold.

[0119] The total release threshold R0 is used to determine whether the anti-condensation control has been completely lifted and the gradual recovery phase has begun. The total release threshold R0 is preferably lower than the first risk threshold R1, specifically: R0 = R1 × (1 - η0), where η0 is the total release hysteresis coefficient, preferably between 0.10 and 0.20. The gradual recovery phase only begins when the condensation risk index R is lower than the total release threshold R0 for N0 consecutive times. Preferably, N0 can be between 10 and 60.

[0120] In one specific implementation, when R1=0.35, R2=0.55, R3=0.75, R4=0.90, and ηi is 0.10, the exit threshold Rr4 for the fourth risk level can be 0.81, and the total release threshold R0 can be 0.315. That is, when the condensation risk index R decreases from the fourth level of risk and remains below 0.81, the fourth-level risk control can be exited and the system can be downgraded; only when the condensation risk index R further remains below 0.315 will the system enter the gradual recovery phase.

[0121] By distinguishing between the aforementioned risk level exit threshold and total release threshold, we can avoid frequent switching of risk levels in high humidity critical scenarios, and also avoid prematurely reverting from a high-risk control state to a normal cooling state.

[0122] In some embodiments of this application, obtaining the current dew point temperature includes: obtaining the current indoor temperature and the current indoor humidity; and calculating the current dew point temperature using an empirical formula based on the current indoor temperature and the current indoor humidity.

[0123] Specifically, the indoor ambient temperature (current indoor temperature T_in) and indoor relative humidity (current indoor humidity RH_in) can be obtained by temperature and humidity sensors located near the return air vent of the indoor unit. In scenarios with significant temperature and humidity stratification, an upper reference measuring point can be added near the return air vent, or a weighted value can be obtained after multi-point sampling to improve the accuracy of dew point estimation. In a preferred approach, the current dew point temperature DP(k) is obtained using an empirical formula or a lookup table model and updated once in each sampling cycle.

[0124] In a preferred embodiment, the device calculates the current dew point temperature DP(k) using an empirical formula, for example, the following Magnus approximation formula: γ(k) = a·T_in(k) / (b+T_in(k))+ln(RH_in(k) / 100); DP(k) = b·γ(k) / (a-γ(k)); where a and b are empirical coefficients, preferably a is 17.27 and b is 237.7℃; T_in(k) is in °C and RH_in(k) is the percentage relative humidity.

[0125] In another alternative implementation, a lookup table model can be used to obtain the current dew point temperature DP(k). The lookup table is a mapping table between T_in, RH_in, and DP. This mapping table can be pre-generated and stored based on empirical dew point formulas, humid air property relationships, or prototype calibration data. During runtime, the corresponding DP(k) is queried based on the current T_in(k) and RH_in(k). When the current T_in(k) and RH_in(k) are located between two table nodes, DP(k) can be obtained using linear interpolation.

[0126] The above method allows for updating the current dew point temperature DP(k) in each sampling period and provides input for the calculation of the subsequent dew point temperature change rate V_dp(k) and condensation risk index R.

[0127] Subsequently, the dew point temperature change rate is obtained by calculating the dew point values ​​at adjacent times: V_dp(k)=[DP(k)-DP(k-1)] / Δt, where k represents the current sampling time and Δt is the sampling period, preferably 1s to 5s. The dew point temperature change rate is introduced because in rainy seasons, humid weather, frequent opening of doors and windows, or scenarios with large numbers of people, the indoor moisture load may rise rapidly, and simply looking at the current dew point value is often insufficient to reflect the rate of risk increase. Introducing this parameter allows for the early identification of states where "condensation has not yet occurred but will soon enter the condensation zone."

[0128] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the control method for preventing air conditioning condensation will be described in detail below with reference to specific embodiments.

[0129] This embodiment relates to a specific control method for preventing condensation in air conditioners, such as... Figure 4 As shown, firstly, after the air conditioner enters cooling or dehumidification mode, it collects the current indoor temperature, current indoor humidity, current supply air temperature, current coil temperature, fan speed, and compressor frequency. Based on the current indoor temperature and humidity, it calculates the current dew point temperature DP. Then, it calculates the dew point temperature change rate V_dp, the current supply air safe temperature difference ΔT_s, and the historical risk accumulation value A. A condensation risk index R is constructed. The condensation risk index R is compared with preset risk thresholds R1, R2, R3, and R4 to determine the risk level, and the corresponding control strategy is executed based on the risk level. The condensation risk index R is periodically retested to determine if the release conditions are met. If met, it enters the gradual recovery phase; if not met, it continues to maintain or upgrades / downgrades control.

[0130] A schematic diagram illustrating the construction logic of the condensation risk index is shown below. Figure 5 As shown, the current dew point temperature DP is calculated based on the current indoor temperature T_in and the current indoor humidity RH_in; the dew point temperature change rate V_dp is calculated using the dew point temperatures DP(k) and DP(k-1) at adjacent times; the current supply air safe temperature difference ΔT_s is determined based on the current supply air temperature T_supply and the current dew point temperature DP; the low temperature risk is determined based on the current coil temperature T_coil and its duration; the historical risk accumulation value A is determined based on the dew point temperature change rate, the current supply air safe temperature difference, and the current coil temperature; the current dew point temperature DP, the dew point temperature change rate V_dp, the current supply air safe temperature difference ΔT_s, the current coil temperature T_coil, and the aforementioned historical risk accumulation value A are normalized and weighted to calculate the condensation risk index R.

[0131] The relationship between risk level and control strategy is shown in the diagram below. Figure 6 As shown, if the risk level is Level 1, the following measures will be implemented: slightly increase the wind speed, fine-tune the air guide angle, and limit short-term frequency increase; if the risk level is Level 2, the following measures will be implemented: increase the wind speed, limit the compressor frequency increase slope, and throttling correction; if the risk level is Level 3, the following measures will be implemented: prioritize light dehumidification, increase the target supply air temperature, and decrease the compressor upper limit; if the risk level is Level 4, the following measures will be implemented: force high airflow, limit the compressor frequency / short-term load reduction, and guide the air to avoid cold.

[0132] The following is a specific example (operating under high humidity conditions during the rainy season):

[0133] A wall-mounted air conditioner is installed in a bedroom near the ceiling. The initial indoor ambient temperature is 28.4℃, and the relative humidity is 81%. The set temperature is 23℃, and the user selects high-speed cooling. The sampling period is set to 2 seconds, and the initial dew point temperature DP, calculated using a dew point lookup model, is 24.9℃. After 30 seconds of operation, the measured supply air temperature T_supply is 15.2℃, and the coil temperature T_coil is 10.1℃. The calculated safe supply air temperature difference ΔT_s is -9.7℃. Simultaneously, within the first 30 seconds, the dew point temperature rises from 24.5℃ to 24.9℃, with a rate of change of approximately 0.013℃ / s, and the historical risk accumulation value A gradually increases.

[0134] After normalizing the parameters, the condensation risk index R=0.61 was obtained, reaching level two risk. Therefore, level two risk control was implemented: the internal fan speed was increased from level 4 to level 5; the compressor frequency ramp rate was limited from 5Hz / min to 2Hz / min; and the electronic expansion valve opening was corrected to a more open state to moderately increase the evaporation temperature.

[0135] After 60 seconds of implementing Level 2 risk control, the supply air temperature rose to 17.1℃, the coil temperature rose to 11.3℃, the dew point temperature dropped to 24.6℃, the safe supply air temperature difference increased to -7.5℃, and the risk index decreased to 0.53. Since it was still above the Level 1 threshold, Level 2 control was maintained. After another 180 seconds, the indoor relative humidity decreased to 76%, the dew point temperature dropped to 23.8℃, the supply air temperature was 18.8℃, and the condensation risk index decreased to 0.33, below the release threshold. A gradual recovery phase then began, first restoring the air guide angle within 90 seconds, then reducing the fan speed from level 5 to level 4, and finally releasing the compressor frequency limit.

[0136] After adopting the control method described in this application, no obvious water droplets appeared on the surface of the air outlet. In contrast, a similar prototype without anti-condensation control showed fine water droplets appearing at the lower edge of the air outlet after approximately 4 minutes of operation under similar conditions. This embodiment demonstrates that this application can reduce the risk in advance through tiered control before condensation occurs.

[0137] This application also provides a control device for preventing air conditioner condensation. It should be noted that the control device for preventing air conditioner condensation in this application can be used to execute the control method for preventing air conditioner condensation provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0138] The following describes the control device for preventing condensation in air conditioners provided in the embodiments of this application.

[0139] Figure 7 This is a structural block diagram of a control device for preventing condensation in air conditioners according to an embodiment of this application. Figure 7 As shown, the device includes an acquisition unit 71, a first determination unit 72, a generation unit 73, and a second determination unit 74. The acquisition unit acquires the dew point temperature change rate, the current air supply temperature, the current dew point temperature, and the current coil temperature during a continuous sampling period after the air conditioner enters cooling or dehumidification mode. The first determination unit determines the current safe air supply temperature difference based on the current air supply temperature and the current dew point temperature. The generation unit generates a condensation risk index based on the current dew point temperature, the dew point temperature change rate, the current safe air supply temperature difference, and the current coil temperature. The second determination unit compares the condensation risk index with a preset risk threshold to determine the current risk level and executes a corresponding control strategy based on the current risk level. The control strategy includes at least one of: limiting the compressor operating frequency, increasing the target air supply temperature, and adjusting the air guide angle to a preset cold-avoidance position.

[0140] This embodiment constructs a condensation risk index by dynamically integrating the dew point temperature change rate, supply air safety temperature difference, current dew point, and coil temperature. This enables the prediction and classification of condensation risk, improving the timeliness and accuracy of condensation warnings compared to existing passive control methods that rely solely on static temperature differences or only respond after condensation has occurred. Furthermore, by implementing multi-dimensional control strategies based on risk levels, the evolution of risk can be effectively suppressed before condensation occurs, while avoiding a sudden drop in cooling capacity caused by a single control method. This solves the problem of untimely control response when condensation risk rises rapidly in existing technologies.

[0141] In the specific implementation process, the above-mentioned device also includes an execution unit, which is used to generate a condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current supply air safety temperature difference, and the current coil temperature, and to perform a recovery operation when the number of consecutive first preset number of times the condensation risk index is lower than the total relief threshold, wherein the total relief threshold is set based on the preset risk threshold; wherein the recovery operation includes: gradually restoring the air guide angle, the internal fan speed, the compressor operating frequency, and the target supply air temperature.

[0142] By initiating a gradual recovery mechanism for the air guide angle, internal fan speed, compressor frequency, and target supply air temperature after the condensation risk index continuously meets the condition of being below the total relief threshold, the air conditioning system effectively avoids frequent start-stop of anti-condensation control due to short-term fluctuations in risk in high humidity environments. This improves the stability of system operation and the comfort of user experience, achieves a smooth transition between anti-condensation intervention and normal cooling mode, and prevents the risk of secondary condensation caused by excessively rapid recovery.

[0143] Furthermore, the aforementioned execution unit includes a recovery module, a reduction module, and a release module. The recovery module is used to restore the air guide angle from the preset cooling position to the target air guide angle, which is the air guide angle recorded before the anti-condensation control is triggered; the reduction module is used to reduce the internal fan speed from the current setting to the initial speed before the anti-condensation control is triggered, according to a preset slope; the release module is used to release the restriction on the compressor's operating frequency and release the upward adjustment correction of the target air supply temperature.

[0144] By prioritizing the restoration of the air guide angle to the target angle recorded before the anti-condensation trigger, then gradually reducing the wind speed with a preset slope, and finally releasing the compressor frequency limit and supply air temperature correction, a sequential and smooth recovery is achieved when the anti-condensation control exits. This effectively avoids airflow impact, sudden temperature rise, or physical discomfort caused by parameter mutations, thus improving user comfort. At the same time, this step-by-step recovery mechanism, in conjunction with the continuous and stable release conditions of the risk index, fundamentally suppresses the repeated oscillations of the control system in high humidity environments, ensuring that the system smoothly returns to its original operating state after the risk is eliminated.

[0145] In some embodiments of this application, the generation unit includes a first generation module and a second generation module. The first generation module is used to generate a historical risk accumulation value based on the dew point temperature change rate, the current supply air safe temperature difference, and the current coil temperature; the second generation module is used to generate the condensation risk index based on the current dew point temperature, the dew point temperature change rate, the current supply air safe temperature difference, the current coil temperature, and the historical risk accumulation value.

[0146] By first dynamically generating a historical risk accumulation value reflecting the persistence of dangerous conditions based on the dew point temperature change rate, the current supply air safe temperature difference, and the current coil temperature, and then incorporating this historical risk accumulation value and the current real-time parameters into the risk index calculation, the anti-interference and stability of condensation risk assessment are improved. This not only avoids false triggering caused by instantaneous sensor fluctuations or brief operating condition disturbances, but also effectively identifies real high-risk scenarios such as continuous high humidity and low supply air temperature difference.

[0147] In some embodiments of this application, the preset risk thresholds include a first risk threshold, a second risk threshold, a third risk threshold, and a fourth risk threshold, and the second determining unit includes a first determining module, a second determining module, a third determining module, and a fourth determining module. The first determining module is used to determine the current risk level as a first risk level when the condensation risk index is greater than or equal to the first risk threshold and less than the second risk threshold; the second determining module is used to determine the current risk level as a second risk level when the condensation risk index is greater than or equal to the second risk threshold and less than the third risk threshold; the third determining module is used to determine the current risk level as a third risk level when the condensation risk index is greater than or equal to the third risk threshold and less than the fourth risk threshold; and the fourth determining module is used to determine the current risk level as a fourth risk level when the condensation risk index is greater than or equal to the fourth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the second risk threshold is less than the third risk threshold, the third risk threshold is less than the fourth risk threshold, and the risk levels of the first, second, third, and fourth risk levels increase sequentially.

[0148] By setting four progressively increasing risk thresholds (R1 < R2 < R3 < R4), the condensation risk index is divided into four levels from low to high, enabling precise segmentation of the condensation risk evolution process. Level 1 risk triggers light intervention to slow the risk escalation; Level 2 risk inhibits rapid compressor frequency increase to slow the evaporation temperature drop; Level 3 risk initiates a light dehumidification priority strategy to reduce indoor humidity load; and Level 4 risk enters a mandatory anti-condensation mode to prevent condensation buildup. This tiered judgment mechanism ensures precise matching of control actions with the risk development stage, avoiding the lag of single threshold judgments and improving proactive prevention capabilities in the early stages of risk and timely response capabilities in critical states.

[0149] In some embodiments of this application, the second determining unit includes a first execution module, a second execution module, a third execution module, and a fourth execution module. The first execution module is used to, when the current risk level is the first risk level, increase the internal fan speed by one level and adjust the air guide angle to the preset cooling avoidance position, while simultaneously prohibiting the compressor from continuing to execute the frequency increase command for a preset time. The second execution module is used to, when the current risk level is the second risk level, control the increment of the compressor operating frequency to be less than the initial frequency increase rate and maintain the internal fan speed at a high speed level. The third execution module is used to, when the current risk level is the third risk level, increase the target air supply temperature by a preset degree and set the upper limit of the compressor operating frequency to be less than the current upper limit of the compressor operating frequency, while maintaining the internal fan speed at a medium-high speed level. The fourth execution module is used to, when the current risk level is the fourth risk level, increase the internal fan speed to the highest level, limit the compressor output power, and switch the air guide angle to the preset cooling avoidance position.

[0150] This embodiment is based on a four-level risk level, with corresponding control strategies for each level. The first risk level involves early intervention through a slight increase in fan speed and airflow to avoid cold. The second risk level limits the compressor's frequency increase rate to delay excessively low evaporation temperatures. The third risk level prioritizes mild dehumidification by increasing the target supply air temperature and lowering the upper frequency limit. The fourth risk level enforces full fan speed, frequency limiting, load reduction, and locking the airflow angle to avoid cold for emergency protection. This strategy executes actions progressively according to the risk level, balancing the effectiveness of anti-condensation measures with cooling capacity and comfort, avoiding fluctuations in perceived comfort or energy waste caused by sudden changes in a single parameter.

[0151] In some embodiments of this application, the above-mentioned device further includes a downgrade unit, which is used to downgrade the current risk level to the risk level corresponding to the current condensation risk index after determining that the current risk level is the fourth risk level, when the number of consecutive preset times of the condensation risk index is lower than the fourth risk level exit threshold; wherein the fourth risk level exit threshold is set based on the fourth risk threshold.

[0152] By distinguishing between the aforementioned risk level exit threshold and total release threshold, we can avoid frequent switching of risk levels in high humidity critical scenarios, and also avoid prematurely reverting from a high-risk control state to a normal cooling state.

[0153] In some embodiments of this application, the acquisition unit includes an acquisition module and a calculation module. The acquisition module is used to acquire the current indoor temperature and the current indoor humidity; the calculation module is used to calculate the current dew point temperature using an empirical formula based on the current indoor temperature and the current indoor humidity.

[0154] This embodiment enables the current dew point temperature DP(k) to be updated in each sampling period, and provides input for the calculation of the subsequent dew point temperature change rate V_dp(k) and the condensation risk index R.

[0155] The aforementioned control device for preventing condensation in air conditioners includes a processor and a memory. The acquisition unit, first determining unit, generation unit, second determining unit, etc., are all stored as program units in the memory. The processor executes these program units stored in the memory to achieve the corresponding functions. All of the above modules reside in the same processor; alternatively, the modules may be located in different processors in any combination.

[0156] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0157] This invention provides a control system for preventing condensation in air conditioners, including a controller, an indoor ambient temperature and humidity acquisition unit, a supply air temperature acquisition unit, a coil temperature acquisition unit, and an execution unit. The execution unit includes an indoor fan, a compressor control interface, a throttling component control interface, and an air guide mechanism control interface. The controller is used to execute the aforementioned control method for preventing condensation in air conditioners. When the controller detects that the air conditioner has entered cooling or dehumidification mode, it initiates the anti-condensation control process. Preferably, within the first 2 minutes after initiation, the controller acquires data such as T_in, RH_in, T_supply, T_coil, indoor fan speed N_fan, compressor frequency F_comp, and running time t at a short sampling period of 1 to 2 seconds.

[0158] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the control method for preventing air conditioning condensation.

[0159] This invention provides a processor for running a program, wherein the program executes the control method for preventing condensation in air conditioners.

[0160] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the aforementioned control method for preventing condensation in air conditioners. The device described herein can be a server, PC, PAD, mobile phone, etc.

[0161] This application also provides a computer program product that, when executed on a data processing device, is adapted to perform the steps of initializing the control method described above for preventing air conditioning condensation.

[0162] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0163] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0164] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0165] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0166] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0167] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0168] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0169] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0170] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0171] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0172] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A control method for preventing condensation in air conditioners, characterized in that, include: After the air conditioner enters cooling mode or dehumidification mode, the dew point temperature change rate, the current air supply temperature, the current dew point temperature and the current coil temperature of the air conditioner are obtained in the continuous sampling period. Determine the current safe temperature difference of the supply air based on the current supply air temperature and the current dew point temperature; A condensation risk index is generated based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, and the current coil temperature. The condensation risk index is compared with a preset risk threshold to determine the current risk level, and a corresponding control strategy is executed based on the current risk level. The control strategy includes at least one of the following: limiting the compressor operating frequency, increasing the target air supply temperature, and adjusting the air guide angle to a preset cold avoidance position.

2. The method according to claim 1, characterized in that, After generating a condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current supply air safe temperature difference, and the current coil temperature, the method further includes: If the condensation risk index is lower than the total relief threshold for a first preset number of consecutive times, a recovery operation is performed, wherein the total relief threshold is set based on the preset risk threshold. The recovery operation includes gradually restoring the air guide angle, the internal fan speed, the compressor operating frequency, and the target air supply temperature.

3. The method according to claim 2, characterized in that, If the condensation risk index falls below the total relief threshold for a first preset number of consecutive times, a recovery operation is performed, including: The air guide angle is restored from the preset cooling position to the target air guide angle, which is the air guide angle recorded before the anti-condensation control is triggered; According to the preset slope, the internal fan speed is reduced from the current level to the initial speed before the anti-condensation control is triggered; Remove the restriction on the compressor's operating frequency and remove the upward adjustment correction for the target air supply temperature.

4. The method according to claim 1, characterized in that, Based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, and the current coil temperature, a condensation risk index is generated, including: Based on the dew point temperature change rate, the current supply air safe temperature difference, and the current coil temperature, a historical risk accumulation value is generated; The condensation risk index is generated based on the current dew point temperature, the rate of change of the dew point temperature, the current safe temperature difference of the supply air, the coil temperature, and the historical cumulative risk value.

5. The method according to claim 1, characterized in that, The preset risk thresholds include a first risk threshold, a second risk threshold, a third risk threshold, and a fourth risk threshold. The condensation risk index is compared with the preset risk thresholds to determine the current risk level, including: If the condensation risk index is greater than or equal to the first risk threshold and less than the second risk threshold, the current risk level is determined to be the first risk level. If the condensation risk index is greater than or equal to the second risk threshold and less than the third risk threshold, the current risk level is determined to be the second risk level. If the condensation risk index is greater than or equal to the third risk threshold and less than the fourth risk threshold, the current risk level is determined to be the third risk level. If the condensation risk index is greater than or equal to the fourth risk threshold, the current risk level is determined to be the fourth risk level. Wherein, the first risk threshold is less than the second risk threshold, the second risk threshold is less than the third risk threshold, the third risk threshold is less than the fourth risk threshold, and the risk levels of the first risk level, the second risk level, the third risk level and the fourth risk level increase sequentially.

6. The method according to claim 5, characterized in that, Based on the current risk level, the corresponding control strategy is implemented, including: When the current risk level is the first risk level, the internal fan speed is increased by one level from the current operating level, the air guide angle is adjusted to the preset cooling position, and the compressor is prohibited from continuing to execute the frequency increase command for a preset time. When the current risk level is the second risk level, the increment of the compressor operating frequency is controlled to be less than the initial frequency increase rate, and the internal fan speed is maintained at the high speed setting. When the current risk level is the third risk level, the target air supply temperature is increased by a preset degree, and the upper limit of the compressor operating frequency is set to be lower than the current upper limit of the compressor operating frequency, while keeping the internal fan speed at a medium-high speed setting. When the current risk level is the fourth risk level, the internal fan speed is increased to the highest level, the compressor output power is limited, and the air guide angle is switched to the preset cold avoidance position.

7. The method according to claim 5, characterized in that, After determining the current risk level to be the fourth risk level, the method further includes: If the number of consecutive preset times of the condensation risk index is lower than the fourth risk level exit threshold, the current risk level will be downgraded to the risk level corresponding to the current condensation risk index. The exit threshold for the fourth risk level is set based on the fourth risk threshold.

8. The method according to claim 1, characterized in that, Obtaining the current dew point temperature includes: Get the current indoor temperature and humidity; The current dew point temperature is calculated using the empirical formula for dew point based on the current indoor temperature and the current indoor humidity.

9. A control device for preventing condensation in air conditioners, characterized in that, include: The acquisition unit is used to acquire the rate of change of dew point temperature, the current supply air temperature, the current dew point temperature and the current coil temperature of the air conditioner in a continuous sampling period after the air conditioner enters the cooling mode or dehumidification mode. The first determining unit is used to determine the current safe temperature difference of the supply air based on the current supply air temperature and the current dew point temperature. The generation unit is used to generate a condensation risk index based on the current dew point temperature, the rate of change of the dew point temperature, the current supply air safe temperature difference, and the current coil temperature. The second determining unit is used to compare the condensation risk index with a preset risk threshold, determine the current risk level, and execute a corresponding control strategy based on the current risk level. The control strategy includes at least one of limiting the compressor operating frequency, increasing the target air supply temperature, and adjusting the air guide angle to a preset cold avoidance position.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the control method for preventing air conditioning condensation as described in any one of claims 1 to 8.

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