Air conditioner control method and device, medium and air conditioner

By calculating the comprehensive air quality index of air conditioning environmental parameters, and triggering the operation mode and control module in stages, the limitations of traditional air conditioning systems in terms of function are solved, achieving accurate perception and dynamic response of air quality, and improving the flexibility of air conditioning control and user experience.

CN120799657APending Publication Date: 2025-10-17GUANGDONG TCL INTELLIGENT HEATING & VENTILATING EQUIP CO LTD

Patent Information

Application Number
CN202511137023.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-13
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

Traditional air conditioning systems have significant limitations in design and function, making it difficult to meet users' diverse needs for indoor air quality.

Method used

By acquiring air conditioning environmental parameters, calculating the comprehensive air quality index, and triggering corresponding operating modes and control modules based on the index, dynamic adjustments are made in conjunction with user preferences and heat source parameters to achieve accurate perception and dynamic response.

Benefits of technology

It enhances the flexibility and versatility of air conditioning control, accurately senses indoor and outdoor air conditions, meets multiple air quality requirements, and improves user comfort and energy efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an air conditioner control method and device, a medium and an air conditioner, air conditioner environment parameters are obtained, a comprehensive air quality index is calculated according to the air conditioner environment parameters, corresponding operation modes and control modules are triggered in a graded mode based on the index, and accurate sensing and dynamic response to indoor and outdoor air states are achieved. And meanwhile, the limitation that a traditional air conditioning system depends on a single temperature or humidity parameter to conduct simple mode switching is broken through, and the flexibility and diversity of control strategies are improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioning, and in particular to an air conditioner control method, device, medium and air conditioner. BACKGROUND

[0002] With the progress of science and technology and the improvement of living standards, users' demands for indoor air quality are increasingly diversified, not limited to single refrigeration or heating functions, but also including other comprehensive requirements. However, the traditional air conditioning system has significant limitations in design and function, and it is difficult to meet these multiple demands. SUMMARY

[0003] Therefore, it is necessary to provide an air conditioner control method, device, medium and air conditioner to solve the problem that the traditional air conditioning system has significant limitations in design and function, and it is difficult to meet these multiple demands.

[0004] In a first aspect, an air conditioner control method is provided, which includes:

[0005] obtaining air conditioner environment parameters, and calculating a comprehensive air quality index based on the air conditioner environment parameters;

[0006] if the comprehensive air quality index meets any first-level threshold condition, starting a target operation mode corresponding to the first-level threshold condition;

[0007] In the target operation mode, if the comprehensive air quality index meets any second-level threshold condition, starting a control module corresponding to the second-level threshold condition.

[0008] In some embodiments of the present application, the calculation of the comprehensive air quality index based on the air conditioner environment parameters includes:

[0009] determining an input fuzzy set corresponding to the air conditioner environment parameters through a membership function defined by a fuzzy controller;

[0010] performing fuzzy reasoning on the input fuzzy set according to a predefined fuzzy rule table to obtain an output fuzzy set;

[0011] converting the output fuzzy set into a corresponding comprehensive air quality index through defuzzification processing.

[0012] In some embodiments of the present application, the method further includes:

[0013] obtaining user operation history data, and extracting user preference features from the operation history data;

[0014] correspondingly adjusting at least one of the first-level threshold condition and the second-level threshold condition based on the user preference features.

[0015] In some embodiments of the present application, if the comprehensive air quality index satisfies a plurality of primary threshold conditions, the method further comprises:

[0016] According to the demand priority of the operation mode, determining a main operation mode and an auxiliary operation mode in a plurality of target operation modes corresponding to the plurality of primary threshold conditions, and starting the main operation mode and the auxiliary operation mode; wherein the demand priority is determined based on at least one of the influence degree on human comfort, the energy consumption size, and the user preset preference;

[0017] Adjusting the running intensity of the auxiliary operation mode based on the degree to which the auxiliary operation mode satisfies the primary threshold condition;

[0018] When a exit condition is satisfied, exiting the auxiliary operation mode; wherein the exit condition includes at least one of the target achievement of the main operation mode, the target achievement of the auxiliary operation mode, and the receiving of an exit instruction.

[0019] In some embodiments of the present application, the method further comprises:

[0020] Obtaining a heat source parameter in real time; wherein the heat source parameter includes the number of heat sources and the heat source heat load;

[0021] If the heat source parameter satisfies a threshold correction condition, adjusting at least one of the primary threshold condition and the secondary threshold condition based on the heat source parameter; wherein the threshold correction condition includes at least one of the change value of the number of heat sources being greater than a change threshold, and the heat source heat load of any heat source changing.

[0022] In some embodiments of the present application, the method further comprises:

[0023] Obtaining a temperature change rate and a humidity change rate;

[0024] If the absolute value of the temperature change rate is greater than a first change rate threshold and the difference between the current temperature and the target temperature is less than a first temperature threshold, or the absolute value of the humidity change rate is greater than a second change rate threshold and the difference between the current humidity and the target humidity is less than a first humidity threshold, then starting and controlling the electric auxiliary heating control module to operate at a first power;

[0025] After the electric auxiliary heating control module is started and operates at the first power, if the current temperature is greater than a second temperature threshold from the target temperature, or the difference between the humidity and the target humidity is greater than a second humidity threshold, then switching the electric auxiliary heating control module from the first power to a second power; wherein the second power is greater than the first power;

[0026] after the electric auxiliary heating control module operates at the second power, if an absolute value of the temperature change rate is less than a first change rate threshold and a difference between the current temperature and a target temperature is less than a third temperature threshold, or an absolute value of the humidity change rate is less than a second change rate threshold and a difference between the current humidity and a target humidity is less than a third humidity threshold, the electric auxiliary heating control module is switched from the second power to a third power; wherein the third power is greater than the first power and less than the second power;

[0027] after the electric auxiliary heating control module operates at the third power, if a difference between the current temperature and the target temperature is less than a fourth temperature threshold and lasts for a preset time length, or a difference between the current humidity and the target humidity is less than a fourth humidity threshold and lasts for a preset time length, or a user shutdown instruction is received, the electric auxiliary heating control module is shut down.

[0028] In some embodiments of the present application, the method further comprises:

[0029] when a user operation instruction is received, an operation parameter associated with the user operation instruction is acquired, and an operation type of the user operation instruction is identified based on the operation parameter;

[0030] if the operation type is a temporary operation, the user operation instruction is responded to and an environmental change parameter is monitored, when the environmental change parameter meets a backtracking trigger condition, gradual backtracking is performed until the target operation mode is operated and the control module is started;

[0031] if the operation type is a long-term operation, the user operation instruction is responded to and a user preference feature is extracted based on the operation parameter; wherein the user preference feature is used to make corresponding adjustment to at least one of the first threshold condition and the second threshold condition.

[0032] In a second aspect, the embodiments of the present application further provide an air conditioner control device, which comprises:

[0033] a comprehensive air quality index calculation module, configured to acquire air conditioner environment parameters and calculate a comprehensive air quality index according to the air conditioner environment parameters;

[0034] a first control module, configured to start a target operation mode corresponding to the first threshold condition if the comprehensive air quality index meets any first threshold condition;

[0035] a second control module, configured to start a control module corresponding to the second threshold condition if the comprehensive air quality index meets any second threshold condition in the target operation mode.

[0036] In a third aspect, the embodiments of the present application further provide an air conditioner, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program implements the steps in the air conditioner control method when executed by the processor.

[0037] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium, which stores a computer program, and the computer program implements the steps in the air conditioner control method when executed by a processor.

[0038] In a fifth aspect, the embodiments of the present application further provide a computer program product or a computer program, which comprises computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method provided in various optional implementation manners of the embodiments of the present application.

[0039] The present application provides an air conditioner control method, device, medium and air conditioner, which realizes accurate perception and dynamic response of indoor and outdoor air state by acquiring air conditioner environment parameters, calculating a comprehensive air quality index according to the parameters, and triggering corresponding operation modes and control modules based on the index classification. Meanwhile, the present application breaks the limitation of traditional air conditioner systems which rely on single temperature or humidity parameters for simple mode switching, and improves the flexibility and diversity of control strategies. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0041] Among them:

[0042] Figure 1 Flowchart of the air conditioner control method;

[0043] Figure 2 Flowchart of calculating the comprehensive air quality index according to the air conditioner environment parameters;

[0044] Figure 3 Flowchart of user behavior learning;

[0045] Figure 4 Flowchart of multi-mode dynamic superposition control;

[0046] Figure 5Flowchart of the process of correcting the threshold value based on the heat source parameter;

[0047] Figure 6 Flowchart of the process of controlling the start and stop of the electric auxiliary heater based on the temperature and humidity change rate;

[0048] Figure 7 Flowchart of the process of intelligent backtracking after user intervention;

[0049] Figure 8 Structural diagram of the air conditioner control device;

[0050] Figure 9 Structural block diagram of the air conditioner. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0052] The terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or device.

[0053] In this document, reference to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood that the embodiments described herein can be combined with other embodiments.

[0054] Please refer to Figure 1 , Figure 1 Flowchart of the air conditioner control method provided by the embodiments of the present application. Although a logical sequence is shown in the flowchart, in some cases, the steps shown or described can be performed in an order different from that shown in the figure. Specifically, the specific process of the air conditioner control method is as follows:

[0055] S101, obtain air conditioner environment parameters, and calculate a comprehensive air quality index according to the air conditioner environment parameters.

[0056] The air conditioning environment parameters are parameters capable of reflecting the state of air in the air conditioning use environment, including indoor living environment parameters and outdoor environment parameters. The indoor living environment parameters at least include indoor dry-bulb temperature, indoor wet-bulb temperature, indoor carbon dioxide (CO2) concentration, indoor formaldehyde (CH2O) concentration, indoor PM2.5 concentration, and indoor heat source quantity. The outdoor environment parameters at least include outdoor dry-bulb temperature, outdoor wet-bulb temperature, outdoor carbon dioxide concentration, and outdoor PM2.5 concentration. The comprehensive air quality index is a quantitative index for measuring the current air quality level, and is used to guide the selection and switching of the control mode of the air conditioner.

[0057] Optionally, the air conditioning environment parameters in the current environment are synchronously collected by multiple sensors. Then, all the air conditioning environment parameters are fused by fuzzy rules to obtain the comprehensive air quality index. Alternatively, all the air conditioning environment parameters are input into a neural network model, and are processed by feature extraction and nonlinear mapping conversion to obtain the comprehensive air quality index. Of course, other manners can also be used, which are not limited here.

[0058] S102, if the comprehensive air quality index meets any first-level threshold condition, a target operation mode corresponding to the first-level threshold condition is started.

[0059] The first-level threshold condition is a judgment standard for triggering the target operation mode, and each first-level threshold condition corresponds to an operation mode. The target operation mode is a working mode of the air conditioning system started or switched under the triggering of the first-level threshold condition, and at least includes a supply air mode, a cooling mode, a heating mode, and a dehumidification mode.

[0060] S103, under the target operation mode, if the comprehensive air quality index meets any second-level threshold condition, a control module corresponding to the second-level threshold condition is started.

[0061] The second-level threshold condition is a condition for further determining the comprehensive air quality index under the target operation mode, and is used for refining the control strategy. Each second-level threshold condition corresponds to a control module under the target operation mode. The control module is a functional subunit for enhancing a specific regulation capability on the basis of the target operation mode, such as a purification control module, a humidity control module, and an electric auxiliary heating control module.

[0062] Optionally, the target working mode includes the supply air mode, the cooling mode, the heating mode, and the dehumidification mode. The control module includes the purification control module, the humidity control module, and the electric auxiliary heating control module.

[0063] When the comprehensive air quality index meets the threshold condition of the air supply mode, the air supply mode is started, and whether to activate the air supply mode humidity control module or the air supply mode purification control module is determined according to the air supply mode humidity control threshold condition and the air supply mode purification control threshold condition.

[0064] When the comprehensive air quality index meets the threshold condition of the air supply mode, the air supply mode is started, and whether to activate the air supply mode humidity control module or the air supply mode purification control module is determined according to the air supply mode humidity control threshold condition and the air supply mode purification control threshold condition.

[0065] When the comprehensive air quality index meets the threshold condition of the air supply mode, the air supply mode is started, and whether to activate the air supply mode humidity control module or the air supply mode purification control module is determined according to the air supply mode humidity control threshold condition and the air supply mode purification control threshold condition.

[0066] When the comprehensive air quality index meets the threshold condition of the air supply mode, the air supply mode is started, and whether to activate the air supply mode humidity control module or the air supply mode purification control module is determined according to the air supply mode humidity control threshold condition and the air supply mode purification control threshold condition.

[0067] The above embodiments realize accurate perception and dynamic response of indoor and outdoor air state by obtaining air conditioning environment parameters and calculating the comprehensive air quality index based on the parameters, and triggering the corresponding operation mode and control module based on the index classification. At the same time, the limitations of traditional air conditioning systems relying on single temperature or humidity parameters for simple mode switching are broken, and the flexibility and diversity of the control strategy are improved.

[0068] In some embodiments of the present application, as shown in Figure 2 The step of calculating the comprehensive air quality index according to the air conditioning environment parameters in S101 specifically includes the following steps:

[0069] S201, determining the input fuzzy set corresponding to the air conditioning environment parameters by the membership function defined by the fuzzy controller.

[0070] S202, performing fuzzy reasoning on the input fuzzy set according to the pre-defined fuzzy rule table to obtain the output fuzzy.

[0071] S203, converting the output fuzzy into the corresponding comprehensive air quality index through defuzzification processing.

[0072] S204, if the comprehensive air quality index meets any first-level threshold condition, starting the target operation mode corresponding to the first-level threshold condition.

[0073] wherein the membership function refers to a function form used to map the input environmental parameters into fuzzy linguistic variables (e.g. "high", "medium", "low"), which is used to calculate the membership degree of a certain input value in the fuzzy set. The fuzzy set refers to a set formed by converting precise numerical values into fuzzy linguistic representations through the membership function, which is usually used to represent the state of a certain parameter belonging to "higher", "moderate", "low" and the like. The fuzzy rule table refers to a set of control rules composed of multiple "if... then..." structured rules, which is used to map multiple fuzzy input groups to a fuzzy output result. Fuzzy reasoning refers to the process of matching and deducing conditions based on input fuzzy sets and fuzzy rule tables, thereby obtaining an output fuzzy. Defuzzification processing refers to the process of converting the output fuzzy obtained by fuzzy reasoning into a deterministic numerical result, which is used to output the final comprehensive air quality index.

[0074] Optionally, the following six categories of parameters covering temperature, humidity, pollutants and heat load and the like dimensions are selected as inputs: indoor dry-bulb temperature (T): affecting human body thermal comfort, ranging from 16°C to 32°C. Indoor relative humidity (H): affecting health and comfort, ranging from 30% to 80%. Indoor carbon dioxide concentration (C): reflecting the intensity of personnel and air freshness, ranging from 400 ppm (excellent) to 2000 ppm (poor). Indoor PM2.5 concentration (P): reflecting air cleanliness, ranging from 0 μg / m3 (excellent) to 200 μg / m3 (poor). Number of heat sources (N) in the room: reflecting additional heat load (such as personnel or electrical appliances), ranging from 0 to 10. Outdoor dry-bulb temperature (T out ): affecting air conditioning energy consumption and mode selection, ranging from -10°C to 40°C.

[0075] Further, to avoid excessive attention to a single parameter due to fixed weights, the weights of each input parameter can be dynamically adjusted according to the scene and user needs: for a personnel-intensive living room (e.g. heat source number ≥ 3): the weights are tilted towards carbon dioxide concentration (35%) and PM2.5 concentration (30%), indoor dry-bulb temperature accounts for 20%, indoor relative humidity accounts for 10%, heat source number accounts for 5%, and outdoor dry-bulb temperature accounts for 0%, in order to prioritize solving the problem of air turbidity. For a night bedroom (e.g. 22:00 to 6:00): the weights are tilted towards indoor dry-bulb temperature (40%) and indoor relative humidity (35%), carbon dioxide concentration accounts for 15%, PM2.5 concentration accounts for 10%, heat source number and outdoor dry-bulb temperature account for 0%, in order to guarantee sleep comfort. For the plum rain season (e.g. outdoor humidity > 80%): the weights are tilted towards indoor relative humidity (45%) and outdoor dry-bulb temperature (30%), indoor dry-bulb temperature accounts for 15%, PM2.5 concentration accounts for 10%, carbon dioxide concentration and heat source number account for 0%, in order to solve the problem of humidity. For user-defined scenes: if the user sets priority on purification through the application, the weight of PM2.5 concentration is increased to 40%, and the weights of other parameters are correspondingly reduced.

[0076] Fuzzification: Each input parameter is divided into three linguistic variables (low, medium, high), and its membership function is defined. For example, taking indoor dry-bulb temperature T and carbon dioxide concentration C as examples: Indoor dry-bulb temperature: low (≤ 22℃, membership degree = 1; 22℃ to 24℃, membership degree linearly decreases to 0); medium (24℃ to 28℃, membership degree = 1); high (≥ 28℃, membership degree = 1; 26℃ to 28℃, membership degree linearly increases to 1). Carbon dioxide concentration: low (≤ 800 ppm, membership degree = 1; 800 ppm to 1000 ppm, membership degree linearly decreases to 0); medium (1000 ppm to 1500 ppm, membership degree = 1); high (≥ 1500 ppm, membership degree = 1; 1300 ppm to 1500 ppm, membership degree linearly increases to 1). Correspondingly, all air conditioning environment parameters are calculated through the corresponding membership function to obtain the corresponding input fuzzy set.

[0077] Fuzzy reasoning: For example, for the scenario of a guest room with a large number of people, the rule base contains multiple "IF-THEN" rules corresponding to indoor dry-bulb temperature T, carbon dioxide concentration C, and indoor PM2.5 concentration P, such as: Rule 1: IF T = H (high temperature) AND C = H (high CO2) AND P = H (high PM2.5) THEN output fuzzy = high (contribution value + 40); Rule 2: IF T = M (medium temperature) AND C = M (medium CO2) AND P = M (medium PM2.5) THEN output fuzzy = medium (contribution value + 20); Rule 3: IF T = L (low temperature) AND C = L (low CO2) AND P = L (low PM2.5) THEN output fuzzy = low (contribution value + 5).

[0078] Defuzzification: The fuzzy output can be converted into a specific AQI value by the center of gravity method, in which the contribution value of each triggered fuzzy rule is multiplied by the weight of the corresponding input parameter, and the sum is obtained to obtain the final AQI value. Alternatively, the fuzzy output can be converted into a specific AQI value by the maximum membership degree method, in which the value with the maximum membership degree in the output fuzzy set is selected as the final output. Of course, other defuzzification methods can also be used, which are not limited herein.

[0079] Because the influence of different parameters on air quality is nonlinear and cross, the fuzzy controller is used for joint reasoning in the above embodiments, which can establish a logical relationship between multiple variables.

[0080] In some embodiments of the present application, as shown in Figure 3 The air conditioning control method further performs the following steps:

[0081] S301, obtaining operation history data of a user, and extracting user preference features from the operation history data.

[0082] S302, adjusting at least one of the first threshold condition and the second threshold condition based on the user preference feature.

[0083] The operation history data of the user refers to time series data recorded by the air conditioning system and related to the function operation behavior of the specific user under different environmental conditions. The user preference feature refers to a behavior model extracted from the operation history data and reflecting the user's expectation of the air conditioning output state under specific environmental conditions.

[0084] Optionally, obtaining the operation history data of the user includes: recording the user operation (such as adjusting the temperature, humidity, mode, and wind speed through an application or a remote controller), operation time (such as 8 am or 10 pm), and environmental parameters (indoor dry-bulb temperature, relative humidity, carbon dioxide concentration, PM2.5 concentration, and number of heat sources) in real time.

[0085] Further, the user preference feature is extracted, and at least one of the first threshold condition and the second threshold condition is adjusted. The following are specific examples:

[0086] Humidity adjustment preference: if the user adjusts the humidity from 45% to 50% for 5 times within the last 7 days when the indoor dry-bulb temperature is 20-22℃ and the relative humidity is 35-40%, the feature extracted is that the user prefers higher humidity (target humidity 50%) in a low-temperature dry environment. The adjustment strategy includes adjusting the humidity control threshold from the default 45% to 50% in heating mode or air supply mode. When the indoor relative humidity is lower than 50%, the system automatically starts the humidity control module (such as a humidifier) to ensure that the environmental humidity reaches the user's preferred 50% without manual intervention.

[0087] Purification preference: if the user manually starts the purification module for the last 10 times when the PM2.5 concentration is 60-80 μg / m3, the feature extracted is that the user has a higher sensitivity to PM2.5 (acceptable upper limit 60 μg / m3). The adjustment strategy includes adjusting the purification control threshold from the default 50 μg / m3 to 60 μg / m3 in air supply mode, cooling mode, and heating mode. When the PM2.5 concentration exceeds 60 μg / m3, the system automatically starts the purification module (such as an air filter or a negative ion generator) to ensure that the air quality meets the user's expectations.

[0088] The above embodiments achieve personalized air conditioning control by analyzing user operation history data, accurately extracting humidity adjustment and purification preference features, and dynamically optimizing the first and second threshold conditions. Compared with the traditional fixed threshold method, this method can adapt to the user's needs in different environments.

[0089] In some embodiments of the present application, as Figure 4As shown, if the comprehensive air quality index meets multiple first-level threshold conditions, the air conditioning control method further performs the following steps:

[0090] S401 , determining a main operation mode and a secondary operation mode among multiple target operation modes corresponding to multiple first-level threshold conditions according to the demand priority of the operation mode, and starting the main operation mode and the secondary operation mode.

[0091] S402: Adjust the operation intensity of the auxiliary operation mode based on the degree to which the auxiliary operation mode meets the first-level threshold condition. When the exit condition is met, exit the auxiliary operation mode.

[0092] The demand priority is determined based on at least one of the impact on human comfort, energy consumption, and user preferences. The primary operating mode is the operating mode that is prioritized by the air conditioner and plays a leading role in air conditioning. The secondary operating mode is an auxiliary operating mode that complements the primary operating mode to further enhance air conditioning performance. Exit conditions include at least one of achieving the primary operating mode's target, achieving the secondary operating mode's target, and receiving an exit command.

[0093] Optionally, if the system determines that the current comprehensive air quality index is poor, for example, if the indoor humidity is too high, the temperature is high, and the CO2 concentration is close to the discomfort threshold, human comfort will be prioritized. In this case, the system will set cooling mode as the primary operating mode to lower the room temperature, and dehumidification mode as the secondary operating mode to remove excess moisture, synergistically improving human comfort.

[0094] Alternatively, when the system is operating in an energy-saving mode (e.g., at night or when the user has activated energy-saving mode), even if air quality deteriorates to a certain extent, it will not directly activate the high-energy-consuming mode. If the ambient temperature is slightly higher, the system will use the air supply mode as the primary operating mode, achieving basic ventilation and cooling effects with the lowest energy consumption. The dehumidification function in the auxiliary operating mode will only be activated when the humidity is significantly higher, thus meeting basic needs while reducing overall energy consumption.

[0095] Alternatively, the user presets the preference to "heating first", for example, when there are elderly people or children at home. When the system detects that the room temperature is low but the relative humidity is also high, it sets the heating mode to the main operating mode to meet the preference, and uses the dehumidification mode as the auxiliary operating mode to ensure that the heating process does not cause the discomfort of excessive humidity, thereby optimizing the air quality while meeting the user's habits.

[0096] Optionally, the cooperative operation mode after the main operation mode and the auxiliary operation mode are started includes parallel operation and intensity adjustment, time-sharing operation and priority switching, and condition-triggered cooperative operation. In parallel operation, the main operation mode runs at full power to quickly achieve the primary target, and the auxiliary operation mode runs at low, medium, or high intensity according to the deviation of the environmental parameter. In time-sharing operation, the main operation mode and the auxiliary operation mode are alternately run, and the time ratio is allocated according to the priority and the parameter change. In condition-triggered operation, the auxiliary operation mode is started when the specific environment or user preference condition is met, forming a dynamic response.

[0097] Optionally, the running intensity (such as dehumidification power, cooling air speed) of the auxiliary operation mode is dynamically adjusted according to the degree to which it meets the first threshold condition, avoiding interference with the effect of the main operation mode or leading to excessive energy consumption. The running intensity can be divided into three levels of low, medium, and high, corresponding to different ranges of environmental parameters: dehumidification mode: low intensity (relative humidity 60% to 70%), medium intensity (70% to 80%), high intensity (more than 80%). Cooling mode: low intensity (indoor temperature 26°C to 28°C), medium intensity (28°C to 30°C), high intensity (more than 30°C). For example, when the relative humidity is 75%, the dehumidification mode runs at 50% power (medium intensity); if the humidity rises to 85%, it runs at 70% power (high intensity). Similarly, when the room temperature is 29°C, the cooling mode runs at 60% power (medium intensity); if the room temperature rises to 32°C, the cooling mode runs at 80% power (high intensity).

[0098] Optionally, the auxiliary mode is exited and the single main operation mode is returned when any of the following conditions is met: the target of the auxiliary operation mode is achieved, for example, the relative humidity decreases to 60% (the dehumidification target is completed). The target of the main operation mode is achieved, for example, the indoor dry-bulb temperature decreases to 26°C (the cooling target is completed). The user manually turns off the auxiliary operation mode, for example, by turning off the dehumidification function through the application, considering that the humidity is suitable.

[0099] The above embodiments, through the dynamic combination and intensity adjustment of the main operation mode and the auxiliary operation mode, can achieve cooperative optimization under multiple environmental demands. Compared with the traditional single mode control, this method selects the main and auxiliary operation modes according to the priority, dynamically adjusts the intensity of the auxiliary operation mode and sets the exit mechanism, significantly improves the comfort, air quality and energy efficiency, and reduces unnecessary energy consumption and user intervention.

[0100] In some embodiments of the present application, as shown in Figure 5 The air conditioner control method further performs the following steps:

[0101] S501, real-time acquisition of heat source parameters.

[0102] S502, if the heat source parameter meets the threshold correction condition, adjusting at least one of the primary threshold condition and the secondary threshold condition based on the heat source parameter.

[0103] The heat source parameter includes the number of heat sources and the heat source heat load. The heat source heat load refers to the amount of heat released by a single heat source to the environment per unit time. The threshold correction condition includes at least one of a change value of the number of heat sources being greater than a change threshold and a change in the heat source heat load of any heat source.

[0104] Optionally, the heat source parameter can be collected in real time through multi-sensor fusion technology, and the accuracy can be improved combined with user input, including: identifying the number of people and the heat source heat load through an infrared thermal imaging sensor, and each adult is equivalent to one heat source. Or through the power monitoring module to detect the power of electrical appliances, electrical appliances with power exceeding 100W are equivalent to one heat source, and electrical appliances with power exceeding 500W are equivalent to two heat sources. Or through the user manually marking temporary heat sources (such as newly added electric heaters) through the application program to improve data accuracy.

[0105] Optionally, the system starts threshold adjustment when any of the following conditions is met: the number of heat sources changes by one or more in 10 minutes, for example, 2 people leave the room or 1 high-power electrical appliance is turned on. The heat source heat load changes significantly, for example, when a heat source (such as a refrigerator) is switched from off to high-power operation.

[0106] Optionally, the primary threshold condition corresponding to the cooling mode and the heating mode is adjusted according to the number of heat sources:

[0107] The cooling start threshold is 26°C by default and the stop threshold is 24°C by default in the cooling mode. When the number of heat sources increases, the start threshold is lowered to start cooling in advance and the stop threshold is lowered to delay stopping to avoid temperature rebound. The adjustment formula is:

[0108] Start threshold = 26°C - 0.5°C x (N1-N0)

[0109] Stop threshold = 24°C - 0.3°C x (N1-N0)

[0110] In the above formula, N1 is the real-time number of heat sources, and N0 is the default reference number (usually 0 or 1). For example, when there is no heat source in the room (N1=0), the cooling start threshold is 26°C and the stop threshold is 24°C; if 3 people enter (N1=3), the start threshold is adjusted to 24.5°C and the stop threshold is adjusted to 23.1°C, the system starts cooling in advance when the temperature rises to 24.5°C and delays stopping when the temperature drops to 23.1°C, ensuring to offset the heat dissipation of the people.

[0111] The heating start threshold is 20℃ by default and the heating stop threshold is 22℃ by default in the heating mode. When the number of heat sources increases, the start threshold is raised to delay heating and the stop threshold is raised to stop earlier to avoid excessive temperature rise. The adjustment formula is:

[0112] Start threshold = 20℃ + 0.4℃ × (N1-N0)

[0113] Stop threshold = 22℃ + 0.2℃ × (N1-N0)

[0114] For example, when there is one refrigerator in the room (N0 = 1), the heating start threshold is 20℃ and the heating stop threshold is 22℃. If one electric heater is turned on (N1 = 2), the start threshold is adjusted to 20.4℃ and the stop threshold is adjusted to 22.2℃, the system delays heating and stops earlier to reduce energy consumption.

[0115] Optionally, the secondary threshold conditions corresponding to the humidity control module can be adjusted according to the fluctuation of the heat load of the heat source:

[0116] The default dehumidification humidity in the dehumidification mode in the secondary threshold conditions corresponding to the humidity control module is 60%. When it is detected that a device (such as a water heater) changes from standby state to high-power operation (such as 1450W), the system determines that the heat load change exceeds the preset threshold (such as 1000W). In this case, the system automatically adjusts the default dehumidification humidity in the dehumidification mode in the secondary threshold conditions. For example, the adjustment formula is:

[0117] Target humidity = 60% - k × (current heat load - threshold)

[0118] In the above formula, k is an adjustment coefficient (for example, 0.005% / W), the current heat load is 1450W, and the threshold is 1000W. Then the target humidity is adjusted to:

[0119] 60% - 0.005% × (1450-1000) = 57.75%

[0120] The system sets the default dehumidification humidity to 55% after rounding, so that the humidity control module is triggered earlier to suppress the rise in humidity caused by the temperature rise of the heat source.

[0121] In the above embodiments, the air conditioner threshold conditions are adaptively adjusted by real-time acquisition and analysis of heat source parameters, which improves the response capability of the control logic to complex environmental changes.

[0122] In some embodiments of the present application, as shown in Figure 6 the above air conditioner control method further performs the following steps:

[0123] S601, acquiring a temperature change rate and a humidity change rate.

[0124] S602, if the absolute value of the temperature change rate is greater than the first change rate threshold and the difference between the current temperature and the target temperature is less than the first temperature threshold, or the absolute value of the humidity change rate is greater than the second change rate threshold and the difference between the current humidity and the target humidity is less than the first humidity threshold, then start and control the electric auxiliary heating control module to operate at the first power.

[0125] S603, after the electric auxiliary heating control module is started and operates at the first power, if the current temperature is greater than the second temperature threshold from the target temperature, or the difference between the humidity and the target humidity is greater than the second humidity threshold, the electric auxiliary heating control module is switched from the first power to the second power.

[0126] S604, after the electric auxiliary heating control module operates at the second power, if the absolute value of the temperature change rate is less than the first change rate threshold and the difference between the current temperature and the target temperature is less than the third temperature threshold, or the absolute value of the humidity change rate is less than the second change rate threshold and the difference between the current humidity and the target humidity is less than the third humidity threshold, the electric auxiliary heating control module is switched from the second power to the third power.

[0127] S605, after the electric auxiliary heating control module operates at the third power, if the difference between the current temperature and the target temperature is less than the fourth temperature threshold and lasts for a preset time, or the difference between the current humidity and the target humidity is less than the fourth humidity threshold and lasts for a preset time, or a user shutdown instruction is received, the electric auxiliary heating control module is turned off.

[0128] Wherein, the first power, the second power, the third power respectively represent three different operating power levels of the electric auxiliary heating module, and the second power > the third power > the first power.

[0129] It is understood that this operation process is divided into four stages: pre-starting stage, full power running stage, power reduction maintaining stage and exit stage. Among them,

[0130] Pre-starting stage: when the absolute value of the temperature change rate is greater than the first change rate threshold (for example, 0.3℃ / min) and the difference between the current temperature and the target temperature is less than the first temperature threshold (for example, 2℃), or the absolute value of the humidity change rate is greater than the second change rate threshold (for example, 1% / min) and the difference between the current humidity and the target humidity is less than the first humidity threshold (for example, 5%), the electric auxiliary heating module starts at the first power (for example, 30%), which responds to the rapid change of the environment in advance, and avoids the temperature or humidity deviating from the target value greatly.

[0131] Full power running stage: if the difference between the temperature and the target temperature increases to the second temperature threshold (for example, 3℃) or the difference between the humidity and the target humidity increases to the second humidity threshold (for example, 10%), the electric auxiliary heating module is switched to the second power (for example, 100%), which is quickly adjusted to approach the target value.

[0132] Power reduction maintenance stage: when the absolute value of the temperature change rate drops below the first change rate threshold and the difference between the temperature and the target temperature is less than the third temperature threshold (e.g. 0.5℃), or the absolute value of the humidity change rate drops below the second change rate threshold and the difference between the humidity and the target humidity is less than the third humidity threshold (e.g. 2%), the electric auxiliary heating module switches to the third power (e.g. 50%), indicating that it is currently in a stable state, maintaining the target state and avoiding overshoot.

[0133] Exit stage: when the difference between the temperature and the target temperature is less than the fourth temperature threshold (e.g. 0.3℃) and lasts for a preset length of time (e.g. 5 minutes), or the difference between the humidity and the target humidity is less than the fourth humidity threshold (e.g. 1%) and lasts for a preset length of time, or a user sends a shutdown instruction through the application, the electric auxiliary heating module is turned off, ensuring accurate stopping and reducing energy consumption.

[0134] Optionally, the specific operation logic and scene application of the present embodiment are as shown below:

[0135] Winter living room temperature drop scene: in the initial state, the indoor dry-bulb temperature is 22℃ (target temperature 22℃) and the electric auxiliary heating module is off. When 3 people leave the room, the temperature drops to 21℃ after 10 minutes, the temperature change rate is -0.5℃ / min (greater than the first change rate threshold 0.3℃ / min), and the difference between the temperature and the target temperature is 1℃ (less than the first temperature threshold 2℃), the system starts the electric auxiliary heating module at 30% power (pre-starting stage). After 5 minutes, the temperature drops to 19℃ (difference 3℃, greater than the second temperature threshold), the change rate increases to -0.8℃ / min, and the system switches to 100% power (full power running stage). When the temperature rises to 22℃±0.5℃, the change rate drops to -0.1℃ / min (less than the first change rate threshold), the system adjusts to 50% power (power reduction maintenance stage). After the temperature stabilizes at 22℃±0.3℃ for 5 minutes, the electric auxiliary heating module is turned off (exit stage).

[0136] The relative humidity is 50% (target humidity 50%) in the initial state, and the electric auxiliary heating module is turned off. After the window is opened and ventilated, the humidity rises to 55%, the humidity change rate is +2.5% / min (greater than the second change rate threshold 1% / min), and the humidity difference from the target humidity is 5% (less than the first humidity threshold 5%). The system starts the electric auxiliary heating module at 30% power and cooperates with the fan at high speed (pre-starting stage). After 10 minutes, the humidity rises to 60% (difference 10%, greater than the second humidity threshold), and the change rate increases to +3% / min. The system switches to 100% power (full power running stage). When the humidity decreases to 52%±2%, the change rate decreases to +0.8% / min (less than the second change rate threshold), and the system adjusts to 50% power (power reduction maintenance stage). After the humidity stabilizes at 50%±1% for 5 minutes, the electric auxiliary heating module is turned off (exit stage).

[0137] Compared with the traditional scheme, the embodiment realizes dynamic switching control of the electric auxiliary heating module power by introducing the temperature / humidity change rate and target deviation joint judgment, improves the response speed and accuracy of the system. At the same time, by three-grade power grading operation, a control strategy from coarse adjustment to fine adjustment is constructed, and finer energy regulation is realized, reducing unnecessary energy consumption.

[0138] In some embodiments of the present application, as shown in Figure 7 The air conditioner control method further performs the following steps:

[0139] S701, when receiving a user operation instruction, obtaining an operation parameter associated with the user operation instruction, and identifying the operation type of the user operation instruction based on the operation parameter.

[0140] S702, if the operation type is a temporary operation, responding to the user operation instruction and monitoring the environmental change parameter, and when the environmental change parameter meets the back-off trigger condition, performing gradual back-off until the target running mode is run and the control module is started.

[0141] S703, if the operation type is a long-term operation, responding to the user operation instruction and extracting a user preference feature based on the operation parameter.

[0142] The operation parameter refers to the parameter information related to the user operation instruction, which is used to assist in identifying the user's intention. The operation type refers to the result of classifying the user's operation behavior according to the operation parameter, specifically including "temporary operation" and "long-term operation", and of course can also include other types, which are not limited here. Temporary operation refers to the type of operation instruction issued by the user based on short-term needs. Long-term operation refers to the type of operation instruction issued by the user based on his own preferences, which has a persistent feature. The user preference feature is used to adjust at least one of the first threshold condition and the second threshold condition.

[0143] Optionally, the user operation instruction can be analyzed by the following four dimensions of operation parameters (operation frequency, operation duration, environmental relevance, user feedback) to identify whether it is a temporary operation or a long-term operation:

[0144] Operation frequency: The number of repetitions of user operations in a specific time period (such as 7 days) is counted. Temporary operations are characterized by single or occasional behavior, with a frequency of less than 3 times / week, for example, a user temporarily increases the temperature by 1 time due to opening the window. Long-term operations are characterized by high-frequency behavior, with a frequency of ≥3 times / week, for example, a user adjusts the temperature to 24°C at night 4 times a week.

[0145] Operation duration: The duration and repeatability of the operation behavior are analyzed. Temporary operations usually have no repeated operations within 30 minutes after intervention, for example, the user does not adjust the temperature again after increasing it. Long-term operations are characterized by repeating the same operation in the same time period (such as 22:00-23:00) for 3 consecutive days or more, for example, the user adjusts the temperature from 22°C to 24°C at night for 5 consecutive days.

[0146] Environmental relevance: The correlation between operation and environmental change is evaluated. Temporary operations are strongly correlated with short-term environmental changes, for example, after opening the window, the indoor dry-bulb temperature increases by 0.5°C / min, and the user temporarily adjusts the temperature setting from 24°C to 26°C. Long-term operations are weakly correlated with environmental changes and more reflect user habits, for example, the user consistently adjusts the set temperature higher at night when the temperature is stable.

[0147] User feedback: Analysis of whether the subsequent operation of the user is consistent with the initial intervention direction. Temporary operations usually have no subsequent correction operations, for example, the user does not adjust the temperature lower after increasing it to 26°C. Long-term operations are characterized by subsequent correction operations consistent with the original intervention direction, for example, the user adjusts the temperature from 22°C to 24°C multiple times and maintains this setting.

[0148] Optionally, if the operation type is a temporary operation, the environmental change parameter (such as the window opening action) is continuously monitored after responding to the temporary operation. When the environmental change parameter meets the rollback trigger condition (such as the window closing action after the window opening action), the system gradually adjusts the operating parameters (such as reducing 0.5°C every 5 minutes) to restore the target operating mode before the temporary operation and start the control module to avoid sudden changes causing discomfort. For example, the user temporarily adjusts the temperature from 24°C to 26°C due to opening the window, and then the system detects that the window is closed and the temperature is adjusted back to 25°C, then it starts to reduce 0.5°C every 5 minutes, and restores to 24°C within 20 minutes, and sends a prompt through the application to allow the user to confirm or cancel the rollback.

[0149] If the operation type is a long-term operation, after responding to the long-term operation, a user preference feature (such as a night preference of 24°C) is extracted, which can be used to update the primary or secondary threshold condition (such as adjusting the night heating mode target temperature from 22°C to 24°C). The adjusted threshold is integrated into subsequent operation without the need for rollback. For example, the user continuously sets the temperature to 24°C at 22:00 for 5 consecutive days, and the system identifies it as a long-term operation and updates the night target temperature to 24°C, and automatically runs at 24°C.

[0150] Further, when the user operation conflicts with the system's predicted demand (such as the system suggesting cooling and the user choosing to send air), the system monitors environmental changes (such as an increase in outdoor temperature leading to an increase in indoor temperature), and pushes a negotiation prompt (such as "Outdoor temperature rises, suggest returning to cooling mode, confirm?") through the application. If the user does not respond within 3 minutes, the system gradually reverts to the target mode with a compromise solution (such as low-power cooling). For example, the user sets the temperature to 28°C, and the system detects that the indoor temperature is rising at 0.2°C / min, and automatically cools at 50% power, gradually reducing to 26°C, avoiding forced rollback causing discomfort.

[0151] The above embodiments achieve rapid response and reasonable rollback of temporary user demand by identifying the type of user operation instruction, and enhance the system's learning ability and adaptability to user habits by extracting user preference features from long-term operations and feeding back for threshold condition adjustment.

[0152] To better implement the air conditioner control method of the present application, the present application also provides an air conditioner control device based on the above air conditioner control method. The meanings of the terms are the same as in the above air conditioner control method, and specific implementation details can be referred to the description in the method embodiment.

[0153] Please refer to Figure 8 , Figure 8 is a structural schematic diagram of the air conditioner control device provided by the embodiments of the present application, which can specifically include:

[0154] The comprehensive air quality index calculation module 801 is configured to obtain air conditioner environment parameters and calculate a comprehensive air quality index based on the air conditioner environment parameters.

[0155] The first control module 802 is configured to start a target operation mode corresponding to a primary threshold condition if the comprehensive air quality index meets any primary threshold condition.

[0156] The second control module 803 is configured to start a control module corresponding to a secondary threshold condition if the comprehensive air quality index meets any secondary threshold condition in the target operation mode.

[0157] The above embodiment, the comprehensive air quality index calculation module 801 is used to obtain the air conditioning environment parameters and calculate the comprehensive air quality index, and the first control module 802 and the second control module 803 are used to trigger the corresponding operation mode and control module based on the index classification, which realizes the accurate perception and dynamic response of the indoor and outdoor air state; at the same time, it breaks the limitation of the traditional air conditioning system which depends on single temperature or humidity parameter for simple mode switching, and improves the flexibility and diversity of the control strategy.

[0158] In some embodiments of the present application, the comprehensive air quality index is calculated according to the air conditioning environment parameters, including: determining the input fuzzy set corresponding to the air conditioning environment parameters through the membership function defined by the fuzzy controller; performing fuzzy reasoning on the input fuzzy set according to the pre-defined fuzzy rule table to obtain the output fuzzy; converting the output fuzzy into the corresponding comprehensive air quality index through the defuzzification process.

[0159] In some embodiments of the present application, the air conditioning control device is also used to: obtain the operation history data of the user, and extract the user preference features from the operation history data; and adjust at least one of the first threshold condition and the second threshold condition based on the user preference features.

[0160] In some embodiments of the present application, if the comprehensive air quality index meets multiple first threshold conditions, the air conditioning control device is also used to: determine the main operation mode and the auxiliary operation mode in the multiple target operation modes corresponding to the multiple first threshold conditions according to the demand priority of the operation mode, and start the main operation mode and the auxiliary operation mode; wherein the demand priority is determined based on at least one of the influence degree on human comfort, the energy consumption size and the user preset preference; adjust the running intensity of the auxiliary operation mode based on the degree to which the auxiliary operation mode meets the first threshold condition; and exit the auxiliary operation mode when the exit condition is met; wherein the exit condition includes at least one of the target achievement of the main operation mode, the target achievement of the auxiliary operation mode and the received exit instruction.

[0161] In some embodiments of the present application, the air conditioning control device is also used to: obtain the heat source parameters in real time; wherein the heat source parameters include the number of heat sources and the heat source heat load; and adjust at least one of the first threshold condition and the second threshold condition based on the heat source parameters if the heat source parameters meet the threshold correction condition; wherein the threshold correction condition includes at least one of the change value of the number of heat sources being greater than the change threshold and the heat source heat load of any heat source changing.

[0162] In some embodiments of the present application, the air conditioning control device is further used to: obtain the temperature change rate and the humidity change rate; if the absolute value of the temperature change rate is greater than a first change rate threshold and the difference between the current temperature and the target temperature is less than the first temperature threshold, or the absolute value of the humidity change rate is greater than a second change rate threshold and the difference between the current humidity and the target humidity is less than the first humidity threshold, then start and control the electric auxiliary heating control module to operate at the first power; after the electric auxiliary heating control module is started and operates at the first power, if the current temperature is greater than a second temperature threshold and the target temperature, or the difference between the humidity and the target humidity is greater than a second humidity threshold, then switch the electric auxiliary heating control module from the first power to the second power; wherein the second power is greater than the first power; in the electric auxiliary heating control module After the auxiliary heating control module operates at the second power, if the absolute value of the temperature change rate is less than the first change rate threshold and the difference between the current temperature and the target temperature is less than the third temperature threshold, or the absolute value of the humidity change rate is less than the second change rate threshold and the difference between the current humidity and the target humidity is less than the third humidity threshold, the electric auxiliary heating control module is switched from the second power to the third power; wherein the third power is greater than the first power and less than the second power; after the electric auxiliary heating control module operates at the third power, if the difference between the current temperature and the target temperature is less than the fourth temperature threshold and continues for a preset time period, or the difference between the current humidity and the target humidity is less than the fourth humidity threshold and continues for a preset time period, or when a user shutdown command is received, the electric auxiliary heating control module is shut down.

[0163] In some embodiments of the present application, the above-mentioned air-conditioning control device is also used to: when receiving a user operation instruction, obtain the operation parameters associated with the user operation instruction, and identify the operation type of the user operation instruction based on the operation parameters; if the operation type is a temporary operation, respond to the user operation instruction and monitor the environmental change parameters, and when the environmental change parameters meet the fallback trigger condition, perform a gradual fallback until it operates in the target operation mode and starts the control module; if the operation type is a long-term operation, respond to the user operation instruction and extract user preference features based on the operation parameters; wherein, the user preference features are used to make corresponding adjustments to at least one of the first-level threshold conditions and the second-level threshold conditions.

[0164] In addition, the present application also provides an air conditioner, such as Figure 9 As shown, it shows a schematic structural diagram of the air conditioner involved in this application, specifically:

[0165] The air conditioner may include one or more processing core processors 901, one or more computer readable storage media memories 902, a power supply 903, an input unit 904 and other components. Those skilled in the art will understand that Figure 9 The air conditioner structure shown in the figure does not constitute a limitation on the air conditioner, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0166] The processor 901 is the control center of the air conditioner, and connects various parts of the air conditioner through various interfaces and lines, and performs various functions and processes data of the air conditioner by running or executing software programs and / or modules stored in the memory 902 and calling data stored in the memory 902, thereby monitoring the air conditioner as a whole. Optionally, the processor 901 can include one or more processing cores; preferably, the processor 901 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application program, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 901.

[0167] The memory 902 can be used to store software programs and modules, and the processor 901 executes various function applications and data processing by running the software programs and modules stored in the memory 902. The memory 902 can mainly include a program storage area and a data storage area, wherein the program storage area can store the operating system, at least one application program required by the function, etc.; and the data storage area can store the data created according to the use of the air conditioner, etc. In addition, the memory 902 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device. Accordingly, the memory 902 can also include a memory controller to provide the processor 901 with access to the memory 902.

[0168] The air conditioner further includes a power supply 903 for supplying power to various components, and preferably the power supply 903 can be logically connected to the processor 901 through a power management system, so as to realize the functions of managing charging, discharging and power consumption management through the power management system. The power supply 903 can also include one or more than one direct current or alternating current power supply, a recharging system, a power supply device debugging circuit, a power supply converter or inverter, a power supply state indicator and any other components.

[0169] The air conditioner can also include an input unit 904, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0170] Although not shown, the air conditioner can further include a display unit and the like, which will not be described herein. Specifically in the present embodiment, the processor 901 in the air conditioner will load the executable file corresponding to the process of one or more application programs into the memory 902 according to the following instructions, and run the application program stored in the memory 902 by the processor 901, so as to realize the steps in any air conditioner control method provided by the embodiments of the present application: obtaining an air conditioner environment parameter, calculating a comprehensive air quality index according to the air conditioner environment parameter; if the comprehensive air quality index meets any first-level threshold condition, starting a target operation mode corresponding to the first-level threshold condition; in the target operation mode, if the comprehensive air quality index meets any second-level threshold condition, starting a control module corresponding to the second-level threshold condition.

[0171] The above embodiments achieve accurate perception and dynamic response of indoor and outdoor air state by obtaining an air conditioner environment parameter and calculating a comprehensive air quality index therefrom, and triggering corresponding operation modes and control modules based on the index classification. Meanwhile, the embodiments break the limitation of traditional air conditioning systems that rely on single temperature or humidity parameters for simple mode switching, and improve the flexibility and diversity of control strategies.

[0172] The specific implementation of the above operations can be referred to the foregoing embodiments, which will not be described herein.

[0173] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by related hardware controlled by the instructions, which can be stored in a computer readable storage medium and loaded and executed by a processor.

[0174] Therefore, the present application provides a computer readable storage medium, which stores a computer program capable of being loaded by a processor to execute the steps in any air conditioner control method provided by the present application.

[0175] The specific implementation of the above operations can be referred to the foregoing embodiments, which will not be described herein.

[0176] The computer readable storage medium can include a read only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0177] Since the instructions stored in the computer readable storage medium can execute the steps in any air conditioner control method provided by the present application, the beneficial effects of any air conditioner control method provided by the present application can be achieved, which will not be described herein.

[0178] The above describes in detail the air conditioner control method, device, air conditioner and computer readable storage medium provided by the application. The principles and implementation manners of the application are described by using specific examples. The above example is only used to help understand the method and core idea of the application. Meanwhile, for those skilled in the art, the specific implementation manners and application range can be changed according to the idea of the application. In conclusion, the content of the specification should not be understood as a limitation of the application.

Claims

1. An air conditioning control method, characterized in that: The method comprises: Acquiring air conditioning environment parameters, and calculating a comprehensive air quality index based on the air conditioning environment parameters; If the comprehensive air quality index meets any first-level threshold condition, the target operation mode corresponding to the first-level threshold condition is started; In the target operation mode, if the comprehensive air quality index meets any secondary threshold condition, the control module corresponding to the secondary threshold condition is started.

2. The air conditioning control method according to claim 1, characterized in that: The calculating of the comprehensive air quality index according to the air-conditioning environment parameters includes: Determine the input fuzzy set corresponding to the air-conditioning environment parameter by means of a membership function defined by a fuzzy controller; Performing fuzzy reasoning on the input fuzzy set according to a predefined fuzzy rule table to obtain an output fuzzy set; The output fuzzy is converted into a corresponding comprehensive air quality index through defuzzification processing.

3. The air conditioning control method according to claim 1, wherein: The method further comprises: Acquire user operation history data, and extract user preference features from the operation history data; At least one of the primary threshold condition and the secondary threshold condition is adjusted accordingly based on the user preference feature.

4. The air conditioning control method according to claim 1, wherein: If the comprehensive air quality index meets multiple first-level threshold conditions, the method further includes: determining, according to the demand priority of the operating mode, a primary operating mode and a secondary operating mode among the multiple target operating modes corresponding to the multiple first-level threshold conditions, and activating the primary operating mode and the secondary operating mode; wherein the demand priority is determined based on at least one of the degree of impact on human comfort, energy consumption, and user preset preferences; adjusting the operating intensity of the secondary operating mode based on the degree to which the secondary operating mode satisfies the primary threshold condition; When an exit condition is met, the auxiliary operation mode is exited; wherein the exit condition includes at least one of the following: the target of the main operation mode is achieved, the target of the auxiliary operation mode is achieved, and an exit instruction is received.

5. The air conditioning control method according to claim 1, characterized in that: The method further comprises: Acquire heat source parameters in real time; wherein the heat source parameters include the number of heat sources and the heat load of the heat sources; If the heat source parameters meet the threshold correction conditions, at least one of the first-level threshold conditions and the second-level threshold conditions is adjusted based on the heat source parameters; wherein, the threshold correction conditions include at least one of the change value of the number of heat sources being greater than the change threshold and the change in the heat load of any heat source.

6. The air conditioning control method according to claim 1, characterized in that: The method further comprises: Get the temperature change rate and humidity change rate; If the absolute value of the temperature change rate is greater than the first change rate threshold and the difference between the current temperature and the target temperature is less than the first temperature threshold, or if the absolute value of the humidity change rate is greater than the second change rate threshold and the difference between the current humidity and the target humidity is less than the first humidity threshold, then starting and controlling the electric auxiliary heating control module to operate at the first power; After the electric auxiliary heating control module is started and operates at the first power, if the current temperature is greater than a second temperature threshold of the target temperature, or the difference between the humidity and the target humidity is greater than a second humidity threshold, the electric auxiliary heating control module is switched from the first power to a second power operation; wherein the second power is greater than the first power; After the electric auxiliary heating control module operates at the second power, if the absolute value of the temperature change rate is less than the first change rate threshold and the difference between the current temperature and the target temperature is less than a third temperature threshold, or if the absolute value of the humidity change rate is less than the second change rate threshold and the difference between the current humidity and the target humidity is less than a third humidity threshold, the electric auxiliary heating control module is switched from the second power to a third power; wherein the third power is greater than the first power and less than the second power; After the electric auxiliary heating control module operates at the third power, if the difference between the current temperature and the target temperature is less than a fourth temperature threshold and continues for a preset time period, or the difference between the current humidity and the target humidity is less than a fourth humidity threshold and continues for a preset time period, or when a user shutdown instruction is received, the electric auxiliary heating control module is shut down.

7. The air conditioning control method according to claim 1, wherein: The method further comprises: When receiving a user operation instruction, obtaining an operation parameter associated with the user operation instruction, and identifying an operation type of the user operation instruction based on the operation parameter; If the operation type is a temporary operation, respond to the user operation instruction and monitor the environmental change parameters. When the environmental change parameters meet the rollback trigger condition, perform a gradual rollback until the target operation mode is used and the control module is started; If the operation type is a long-term operation, respond to the user operation instruction and extract user preference features based on the operation parameters; wherein the user preference features are used to make corresponding adjustments to at least one of the first-level threshold condition and the second-level threshold condition.

8. An air conditioning control device, characterized in that: The air conditioning control device includes: A comprehensive air quality index calculation module is used to obtain air conditioning environment parameters and calculate the comprehensive air quality index based on the air conditioning environment parameters; a first control module, configured to activate a target operating mode corresponding to any first-level threshold condition if the comprehensive air quality index satisfies the first-level threshold condition; The second control module is configured to start the control module corresponding to any secondary threshold condition if the comprehensive air quality index meets any secondary threshold condition in the target operation mode.

9. A computer-readable storage medium, characterized in that A computer program is stored, and when the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

10. An air conditioner, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

Citation Information

Patent Citations

  • Air purifying equipment and control method and device thereof

    CN108131796A

  • Air conditioner and control method and control device thereof

    CN109556188A

  • Energy-saving intelligent central air conditioner constant temperature control system and device

    CN118896377A

  • Olfactory smell monitoring system and method for old-age care community based on Internet of Things

    CN120101275A

  • Mode self-adaptive control method, device and equipment of air conditioner and medium

    CN120252130A

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