Intelligent air deflector control method and device applied to intelligent air conditioner

Abstract

The invention discloses an air deflector intelligent control method and device applied to an intelligent air conditioner, and the method comprises the steps: determining the required cooling speed and required cooling amount of a target air conditioner according to cooling demand information of a working scene where the target air conditioner is located; according to the required cooling speed and the required cooling amount, an air deflector operation mode in the target air conditioner is determined; the air deflector operation mode at least comprises a conventional temperature adjusting mode or a rapid temperature adjusting mode; in the conventional temperature adjusting mode, first operation control operation is executed on an inner air guide plate in the target air conditioner according to the cooling demand information; in the rapid temperature adjusting mode, according to the required cooling speed and the required cooling amount, second operation control operation is executed on an inner air guide plate in the target air conditioner, and the second operation control operation comprises rotating and shaking control operation for the inner air guide plate; therefore, the inner air deflector is controlled to produce vortex street airflow. Therefore, the determination precision of the operation mode of the air deflector can be improved, and the cooling control precision of the intelligent air conditioner is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent air conditioner control, and in particular to an intelligent control method and device for an air guide plate applied to an intelligent air conditioner. Background Art

[0002] In the prior art, smart air conditioners are indispensable electrical appliances in home and office environments, and their performance and intelligence are directly related to the user experience. Traditional air conditioning control systems mostly use a simple temperature feedback mechanism to adjust the indoor temperature, that is, by detecting the deviation between the indoor temperature and the set temperature, the operating status of the air conditioner's compressor, fan and other components is controlled to achieve the purpose of adjusting the indoor temperature. However, this control method often has problems such as slow response speed, low adjustment accuracy, and high energy consumption, which makes it difficult to meet users' needs for rapid cooling and precise temperature control.

[0003] In order to solve the above problems, some air conditioner products with intelligent air deflector control functions have appeared on the market in recent years. These products achieve precise control of airflow by controlling the movement trajectory and angle of the air deflector. However, the existing intelligent air deflector control methods are mostly based on fixed control strategies or preset operating modes, and their application limitations are high. When dealing with different cooling requirements, it is often difficult to achieve the best control effect. Summary of the invention

[0004] The present invention provides an intelligent control method and device for an air guide plate applied to an intelligent air conditioner, which can improve the accuracy of determining an air guide plate operation mode and improve the cooling control accuracy of the intelligent air conditioner.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent control method of an air guide plate applied to an intelligent air conditioner, the method comprising:

[0006] Determine the required cooling speed and required cooling amount of the target air conditioner according to the determined cooling demand information of the working scene where the target air conditioner is located;

[0007] Determining an air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount; the air guide plate operation mode at least includes a conventional temperature adjustment mode or a rapid temperature adjustment mode;

[0008] When the air guide plate operation mode is the conventional temperature adjustment mode, performing a first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information;

[0009] When the air guide plate operation mode is the rapid temperature adjustment mode, a second operation control operation is performed on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, the second operation control operation includes a rotational shaking control operation for the inner air guide plate; the rotational shaking control operation is used to control the inner air guide plate to generate vortex street airflow;

[0010] Among them, the cooling speed corresponding to the conventional temperature adjustment mode is slower than the cooling speed corresponding to the fast temperature adjustment mode.

[0011] As an optional implementation, in the first aspect of the present invention, determining the air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount includes:

[0012] Acquire target operating parameters corresponding to the air guide plate operating mode pre-set by the target air conditioner, wherein the target operating parameters include a first operating parameter corresponding to the conventional temperature adjustment mode and a second operating parameter corresponding to the rapid temperature adjustment mode;

[0013] Determine whether the required cooling amount is greater than a set rated cooling value, and when it is determined that the required cooling amount is greater than the set rated cooling value, determine the rapid temperature adjustment mode as the air guide plate operation mode in the air conditioner;

[0014] When it is determined that the required cooling amount is less than or equal to the set rated cooling value, the required cooling amount and the required cooling speed are numerically converted according to the equipment operating parameters of the target air conditioner to obtain a numerical conversion result that matches the cooling demand information; the numerical conversion result at least includes the conversion operating parameters;

[0015] The conversion operating parameter is respectively calculated for suitability with the first operating parameter and the second operating parameter, and the operating mode corresponding to the parameter in the target operating parameter with the highest suitability with the conversion operating parameter is determined as the air guide plate operating mode in the target air conditioner.

[0016] As an optional implementation, in the first aspect of the present invention, performing numerical conversion on the required cooling amount and the required cooling speed according to the equipment operating parameters of the target air conditioner to obtain a numerical conversion result matching the cooling demand information includes:

[0017] Acquire historical operation data of the target air conditioner, the historical operation data including unit cooling data of the target air conditioner within a preset historical record period, the historical record period corresponding to the current moment; the unit cooling data including a plurality of unit cooling rates and their corresponding cooling parameters, the unit cooling rate being used to indicate the time required for the target air conditioner to cool a preset unit temperature for the working scene;

[0018] Selecting a target unit cooling rate that matches the required cooling speed from all the unit cooling rates; calculating the cooling time according to the target unit cooling rate and the required cooling amount;

[0019] The target cooling parameter corresponding to the target unit cooling rate and the cooling duration are determined as numerical conversion results that match the cooling demand information.

[0020] As an optional implementation, in the first aspect of the present invention, performing a first operation control operation on an inner air guide plate in the target air conditioner according to the cooling demand information includes:

[0021] acquiring the initial operating parameters currently set for the target air conditioner in the conventional temperature adjustment mode, and judging whether it is necessary to perform a parameter correction operation for the initial operating parameters according to the temperature reduction demand information, and when it is judged that it is not necessary to perform the parameter correction operation for the initial operating parameters, controlling the target air conditioner to perform a temperature reduction process;

[0022] When it is determined that the parameter correction operation needs to be performed on the initial operating parameters, the parameter correction is performed on the initial operating parameters according to the cooling demand information, and then the target air conditioner is controlled to perform the cooling process;

[0023] Among them, the duration of the cooling process is the first temperature control duration corresponding to the cooling demand information, and the cooling process includes at least one of the air outlet speed control and / or intermittent operation frequency control for the target air conditioner.

[0024] As an optional implementation, in the first aspect of the present invention, performing a second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount includes:

[0025] According to the required cooling speed and the required cooling amount, performing parameter adjustment on the second operating parameter to obtain a basic operating parameter corresponding to the second operating parameter; the parameter adjustment at least includes adjusting the output power and cooling time of the target air conditioner;

[0026] Acquire scene data corresponding to the working scene, wherein the scene data includes scene layout information and scene temperature of the working scene, and the scene layout information includes scene area and scene heat exchange information;

[0027] Determining a rotational vibration control parameter for the inner air guide plate according to the scene layout information and the scene temperature in combination with fluid dynamics;

[0028] The rotational jitter control parameter is added to the second operating parameter, and a second operating control operation is performed on the target air conditioner according to the second operating parameter, wherein the second operating control operation includes at least one of frequency control, amplitude control, and duration control corresponding to the rotational jitter of the inner air guide plate.

[0029] As an optional implementation, in the first aspect of the present invention, the second operating parameters include multiple control nodes, the second operating parameters include multiple sets of node operating parameters, each control node has a set of node operating parameters that matches it, and each set of node operating parameters includes the basic operating parameters and the rotation jitter control parameters; different control nodes have different corresponding node operating parameters;

[0030] In the process of performing the second operation control operation on the target air conditioner according to the second operation parameter, the method further includes:

[0031] Determine whether a node switching condition is currently met, and when it is determined that the node switching condition is currently met, switch the node operation parameter corresponding to the current control node to the node operation parameter corresponding to the subsequent control node, all the control nodes include the current control node and the subsequent control node; and the subsequent control node is adjacent to the current control node, and the execution time of the subsequent control node is after the execution time of the current control node;

[0032] Wherein, satisfying the node switching condition specifically includes:

[0033] The current moment reaches the node start time of the subsequent control node, and / or the real-time monitoring temperature of the working scene reaches the node start temperature adjustment temperature corresponding to the setting of the subsequent control node.

[0034] As an optional implementation manner, in the first aspect of the present invention, in the process of performing the second operation control operation on the target air conditioner according to the second operation parameter, the method further includes:

[0035] For each of the current control nodes, collecting a plurality of real-time scene temperatures of the working scene under the current control node;

[0036] Analyze all the real-time scene temperatures corresponding to the current control node to obtain temperature change information corresponding to the current control node;

[0037] Determine, according to the temperature change information corresponding to the current control node and the remaining node duration of the current control node, the predicted node temperature corresponding to the working scenario when the node cutoff time of the current control node is reached;

[0038] Determining whether the predicted node temperature is lower than or equal to a preset node cutoff temperature, and when it is determined that the predicted node temperature is higher than the node cutoff temperature, calculating a temperature difference between the predicted node temperature and the node cutoff temperature;

[0039] According to the temperature difference, performing a difference correction operation on the basic operating parameter and the rotational jitter control parameter so that the predicted node temperature after the difference correction is lower than or equal to the node cutoff temperature;

[0040] The preset node cutoff temperature is the temperature set in the second operating parameter when the node cutoff moment of the current control node is reached.

[0041] The second aspect of the present invention discloses an intelligent control device for an air guide plate applied to an intelligent air conditioner, the device comprising:

[0042] A first determination module is used to determine a required cooling speed and a required cooling amount of the target air conditioner according to the determined cooling requirement information of the working scene where the target air conditioner is located;

[0043] A second determination module is used to determine an air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount; the air guide plate operation mode includes at least a conventional temperature adjustment mode or a rapid temperature adjustment mode;

[0044] A first operation control module, configured to perform a first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information when the air guide plate operation mode is the conventional temperature adjustment mode;

[0045] a second operation control module, configured to, when the air guide plate operation mode is the rapid temperature adjustment mode, perform a second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, wherein the second operation control operation includes a rotational shaking control operation for the inner air guide plate; the rotational shaking control operation is used to control the inner air guide plate to generate a vortex street airflow;

[0046] Among them, the cooling speed corresponding to the conventional temperature adjustment mode is slower than the cooling speed corresponding to the fast temperature adjustment mode.

[0047] As an optional implementation, in the second aspect of the present invention, the second determination module determines the air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount, specifically including:

[0048] Acquire target operating parameters corresponding to the air guide plate operating mode pre-set by the target air conditioner, wherein the target operating parameters include a first operating parameter corresponding to the conventional temperature adjustment mode and a second operating parameter corresponding to the rapid temperature adjustment mode;

[0049] Determine whether the required cooling amount is greater than a set rated cooling value, and when it is determined that the required cooling amount is greater than the set rated cooling value, determine the rapid temperature adjustment mode as the air guide plate operation mode in the air conditioner;

[0050] When it is determined that the required cooling amount is less than or equal to the set rated cooling value, the required cooling amount and the required cooling speed are numerically converted according to the equipment operating parameters of the target air conditioner to obtain a numerical conversion result that matches the cooling demand information; the numerical conversion result at least includes the conversion operating parameters;

[0051] The conversion operating parameter is respectively calculated for suitability with the first operating parameter and the second operating parameter, and the operating mode corresponding to the parameter in the target operating parameter with the highest suitability with the conversion operating parameter is determined as the air guide plate operating mode in the target air conditioner.

[0052] As an optional implementation, in the second aspect of the present invention, the second determination module performs numerical conversion on the required cooling amount and the required cooling speed according to the equipment operating parameters of the target air conditioner, and the method of obtaining the numerical conversion result matching the cooling demand information specifically includes:

[0053] Acquire historical operation data of the target air conditioner, the historical operation data including unit cooling data of the target air conditioner within a preset historical record period, the historical record period corresponding to the current moment; the unit cooling data including a plurality of unit cooling rates and their corresponding cooling parameters, the unit cooling rate being used to indicate the time required for the target air conditioner to cool a preset unit temperature for the working scene;

[0054] Selecting a target unit cooling rate that matches the required cooling speed from all the unit cooling rates; calculating the cooling time according to the target unit cooling rate and the required cooling amount;

[0055] The target cooling parameter corresponding to the target unit cooling rate and the cooling duration are determined as numerical conversion results that match the cooling demand information.

[0056] As an optional implementation, in the second aspect of the present invention, the first operation control module performs the first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information, specifically including:

[0057] acquiring the initial operating parameters currently set for the target air conditioner in the conventional temperature adjustment mode, and judging whether it is necessary to perform a parameter correction operation for the initial operating parameters according to the temperature reduction demand information, and when it is judged that it is not necessary to perform the parameter correction operation for the initial operating parameters, controlling the target air conditioner to perform a temperature reduction process;

[0058] When it is determined that the parameter correction operation needs to be performed on the initial operating parameters, the parameter correction is performed on the initial operating parameters according to the cooling demand information, and then the target air conditioner is controlled to perform the cooling process;

[0059] Among them, the duration of the cooling process is the first temperature control duration corresponding to the cooling demand information, and the cooling process includes at least one of the air outlet speed control and / or intermittent operation frequency control for the target air conditioner.

[0060] As an optional implementation, in the second aspect of the present invention, the second operation control module performs the second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, specifically including:

[0061] According to the required cooling speed and the required cooling amount, performing parameter adjustment on the second operating parameter to obtain a basic operating parameter corresponding to the second operating parameter; the parameter adjustment at least includes adjusting the output power and cooling time of the target air conditioner;

[0062] Acquire scene data corresponding to the working scene, wherein the scene data includes scene layout information and scene temperature of the working scene, and the scene layout information includes scene area and scene heat exchange information;

[0063] Determining a rotational vibration control parameter for the inner air guide plate according to the scene layout information and the scene temperature in combination with fluid dynamics;

[0064] The rotational jitter control parameter is added to the second operating parameter, and a second operating control operation is performed on the target air conditioner according to the second operating parameter, wherein the second operating control operation includes at least one of frequency control, amplitude control, and duration control corresponding to the rotational jitter of the inner air guide plate.

[0065] As an optional implementation, in the second aspect of the present invention, the second operating parameters include multiple control nodes, the second operating parameters include multiple sets of node operating parameters, each control node has a set of node operating parameters that matches it, and each set of node operating parameters includes the basic operating parameters and the rotational jitter control parameters; different control nodes have different corresponding node operating parameters;

[0066] The device also includes:

[0067] a judging module, configured to judge whether a node switching condition is currently satisfied during the process in which the second operation control module performs a second operation control operation on the target air conditioner according to the second operation parameter;

[0068] A parameter switching module, configured to switch the node operation parameters corresponding to the current control node to the node operation parameters corresponding to the subsequent control node when the judgment module judges that the node switching condition is currently met, wherein all the control nodes include the current control node and the subsequent control node; and the subsequent control node is adjacent to the current control node, and the execution time of the subsequent control node is after the execution time of the current control node;

[0069] Wherein, satisfying the node switching condition specifically includes:

[0070] The current moment reaches the node start time of the subsequent control node, and / or the real-time monitoring temperature of the working scene reaches the node start temperature adjustment temperature corresponding to the setting of the subsequent control node.

[0071] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0072] a collection module, configured to collect, for each of the current control nodes, a plurality of real-time scene temperatures of the working scene at the current control node during the process in which the second operation control module performs the second operation control operation on the target air conditioner according to the second operation parameter;

[0073] An information analysis module, used for analyzing all the real-time scene temperatures corresponding to the current control node, and obtaining temperature change information corresponding to the current control node;

[0074] The first determination module is further configured to determine, based on the temperature change information corresponding to the current control node and the remaining node duration of the current control node, the predicted node temperature corresponding to the working scenario when the node cutoff time of the current control node is reached;

[0075] The judgment module is further used to judge whether the predicted node temperature is lower than or equal to a preset node cutoff temperature;

[0076] a difference correction module, configured to calculate a temperature difference between the predicted node temperature and the node cutoff temperature when the judgment module judges that the predicted node temperature is higher than the node cutoff temperature;

[0077] The difference correction module is further used to perform a difference correction operation on the basic operating parameter and the rotation jitter control parameter according to the temperature difference, so that the predicted node temperature after the difference correction is lower than or equal to the node cut-off temperature;

[0078] The preset node cutoff temperature is the temperature set in the second operating parameter when the node cutoff moment of the current control node is reached.

[0079] The third aspect of the present invention discloses another intelligent control device for air guide plates used in intelligent air conditioners, the device comprising:

[0080] A memory storing executable program code;

[0081] a processor coupled to the memory;

[0082] The processor calls the executable program code stored in the memory to execute the intelligent control method of the air guide plate applied to the intelligent air conditioner disclosed in the first aspect of the present invention.

[0083] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the intelligent control method of the air guide plate applied to the intelligent air conditioner disclosed in the first aspect of the present invention.

[0084] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0085] In an embodiment of the present invention, a method for intelligently controlling an air guide plate applied to an intelligent air conditioner is provided, the method comprising: determining a required cooling speed and a required cooling amount of the target air conditioner according to cooling demand information of a working scene in which the target air conditioner is located; determining an operating mode of the air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount; the air guide plate operating mode includes at least a conventional temperature control mode or a rapid temperature control mode; when the air guide plate operating mode is the conventional temperature control mode, a first operating control operation is performed on an inner air guide plate in the target air conditioner according to the cooling demand information; when the air guide plate operating mode is the rapid temperature control mode, a second operating control operation is performed on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, the second operating control operation comprising a rotational shaking control operation for the inner air guide plate; the rotational shaking control operation is used to control the inner air guide plate to generate vortex airflow; wherein, the cooling speed corresponding to the conventional temperature control mode is slower than the cooling speed corresponding to the rapid temperature control mode. It can be seen that the implementation of the present invention first identifies the cooling demand information of the working scene where the target air conditioner is located, and then determines the specific required cooling speed and cooling amount. This intelligent analysis based on actual needs enables the target air conditioner to flexibly adapt to the temperature control requirements in different scenes, which is beneficial to improving the applicability of the target air conditioner; further, by distinguishing between the conventional temperature control mode and the rapid temperature control mode, and selecting the most suitable air guide plate operation mode according to actual needs, it is beneficial to reduce unnecessary energy consumption, among which, when the cooling demand is not high, the conventional temperature control mode is adopted to ensure comfort while reducing energy consumption; and when rapid cooling is required, it is quickly switched to the rapid temperature control mode to ensure rapid Quick response and efficient cooling, this dynamic adjustment strategy realizes the energy efficiency optimization of the target air conditioner and improves the energy-saving effect; in addition, for the rapid temperature adjustment mode, a rotational jitter control operation is specially introduced to control the inner air guide plate to create vortex airflow, which can enhance the air flow efficiency and accelerate the indoor heat exchange process, thereby achieving a faster cooling effect, that is, it is conducive to improving the cooling efficiency and cooling effect of the rapid temperature adjustment mode; at the same time, this refined airflow control also helps to reduce the problem of uneven indoor temperature distribution, which is conducive to improving the comfort and temperature uniformity of the working scene of the target air conditioner, and then greatly improves the user experience of the target air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0087] Figure 1It is a schematic diagram of a scenario applicable to a method for intelligently controlling an air guide plate of an intelligent air conditioner disclosed in an embodiment of the present invention;

[0088] Figure 2 It is a flow chart of an intelligent control method of an air guide plate applied to an intelligent air conditioner disclosed in an embodiment of the present invention;

[0089] Figure 3 It is a flow chart of another intelligent control method of an air guide plate applied to an intelligent air conditioner disclosed in an embodiment of the present invention;

[0090] Figure 4 It is a structural schematic diagram of an intelligent control device for air guide plates applied to an intelligent air conditioner disclosed in an embodiment of the present invention;

[0091] Figure 5 It is a structural schematic diagram of another intelligent control device for air guide plates applied to intelligent air conditioners disclosed in an embodiment of the present invention;

[0092] Figure 6 It is a structural schematic diagram of another intelligent control device for air guide plates applied to intelligent air conditioners disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0093] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0094] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0095] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0096] The present invention discloses an intelligent control method and device for an air guide plate applied to an intelligent air conditioner. The method first identifies the cooling demand information of the working scene of the target air conditioner, and then determines the specific required cooling speed and cooling amount. This intelligent analysis based on actual needs enables the target air conditioner to flexibly adapt to the temperature control requirements in different scenes, which is beneficial to improving the applicability of the target air conditioner. Furthermore, by distinguishing between the conventional temperature adjustment mode and the rapid temperature adjustment mode, and selecting the most suitable air guide plate operation mode according to actual needs, it is beneficial to reduce unnecessary energy consumption. Among them, when the cooling demand is not high, the conventional temperature adjustment mode is adopted to ensure comfort while reducing energy consumption; and in the case of rapid cooling, it is quickly switched to the rapid temperature adjustment mode. The fast temperature adjustment mode ensures fast response and efficient cooling. This dynamic adjustment strategy optimizes the energy efficiency of the target air conditioner and improves the energy saving effect. In addition, for the fast temperature adjustment mode, a rotational shaking control operation is specially introduced to control the inner air guide plate to create a vortex street airflow. The vortex street airflow can enhance the air flow efficiency and accelerate the indoor heat exchange process, thereby achieving a faster cooling effect, that is, it is conducive to improving the cooling efficiency and cooling effect of the fast temperature adjustment mode. At the same time, this refined airflow control also helps to reduce the problem of uneven indoor temperature distribution, which is conducive to improving the comfort and temperature uniformity of the working scene of the target air conditioner, and then greatly improves the user experience of the target air conditioner. The following are detailed explanations.

[0097] In order to better understand the intelligent control method and device of the air deflector applied to the intelligent air conditioner described in the present invention, the scenario to which the intelligent control method of the air deflector applied to the intelligent air conditioner is applicable is first described. Specifically, the scenario can be as follows: Figure 1 As shown, Figure 1 Schematic diagram of a scenario to which an intelligent control method for air guide plates of an intelligent air conditioner disclosed in an embodiment of the present invention is applicable. Figure 1 As shown, the scenario may include:

[0098] The air conditioner 101 is used to receive a first control instruction triggered by a user for the air conditioner 101, and parse the first control instruction to obtain cooling demand information matching the first control instruction;

[0099] The air conditioner 101 is further configured to receive a second control instruction triggered by a user for the air conditioner 101, and execute a temperature reduction control operation matching the second control instruction, wherein the second control instruction includes executing a first sub-instruction corresponding to a conventional temperature adjustment mode or executing a second sub-instruction corresponding to a fast temperature adjustment mode;

[0100] The first sub-instruction and the second sub-instruction may be used to refer to a single control instruction, or may refer to an instruction set including a plurality of control instructions, which is not limited in the present invention.

[0101] The air conditioner 101 is also used to receive a third control instruction triggered by the user on the air conditioner 101, and the third control instruction is used to perform real-time adjustment of parameters of the air conditioner 101 and perform real-time equipment adjustment matching the third control instruction.

[0102] It should be noted that a wireless communication module is provided in the air conditioner 101, such as a wifi module, a Bluetooth module, a ZigBee module, a LoRa module, a cellular communication module, etc.; through the wireless communication module, the air conditioner 101 can realize the reception and issuance of various communication instructions such as the above-mentioned first control instruction and the second control instruction.

[0103] Optionally, the air conditioner 101 is further provided with a voice control module, which is used to realize a voice interaction function with the user. Specifically, the voice control module is used to intelligently receive a voice control command triggered by the user, analyze the voice control command, obtain a corresponding air conditioning control command; and transmit the air conditioning control command to the air conditioner 101 to perform operation control on the air conditioner 101;

[0104] Optionally, the user issues a voice input command through his / her user terminal (such as a mobile phone, tablet, smart remote control panel, etc.), and transmits the voice input command to the air conditioner 101 via the wireless communication module; further, the wireless communication module transmits the voice input command to the command execution center (such as an air conditioner control chip) or the voice control module of the air conditioner 101, so as to execute a voice control operation matching the voice input command through the command execution center or the voice control module.

[0105] It should be noted that Figure 1 The scenes shown are only for showing the applicable scenes of the intelligent control method of the air guide plate applied to the smart air conditioner. The air conditioner 101 involved is also only schematically shown. The specific structure / size / shape / location / installation method can be adaptively adjusted according to the actual scene. Figure 1 The scenario shown is not limiting in this regard.

[0106] The above describes the application scenarios to which the intelligent control method for air guide plates applied to smart air conditioners is applicable. The following describes in detail the intelligent control method and device for air guide plates applied to smart air conditioners.

[0107] Embodiment 1

[0108] See also Figure 2 , Figure 2 1 is a flow chart of an intelligent control method for air guide plates applied to intelligent air conditioners disclosed in an embodiment of the present invention. Figure 2The described intelligent control method for air deflectors applied to smart air conditioners can be applied to intelligent control devices for air deflectors applied to smart air conditioners, and the embodiments of the present invention do not limit this. Figure 2 As shown, the intelligent control method of the air guide plate applied to the intelligent air conditioner may include the following operations:

[0109] 201. Determine a required cooling speed and a required cooling amount of the target air conditioner according to the determined cooling demand information of the working scene where the target air conditioner is located.

[0110] In an embodiment of the present invention, the required cooling rate may refer to how many degrees the temperature needs to be lowered within a period of time, for example, a reduction of 1°C within 5 minutes, that is, a required cooling rate of 1°C / 5min; the required cooling amount refers to the specific temperature that needs to be lowered to and the temperature difference corresponding to the temperature reduction to that degree, for example, the initial indoor temperature is 30°C and needs to be lowered to 26°C, and the required cooling amount is the temperature that needs to be lowered to 26°C and the temperature that needs to be lowered by 4°C.

[0111] 202. Determine an air guide plate operation mode in a target air conditioner according to a required cooling speed and a required cooling amount; the air guide plate operation mode includes at least a conventional temperature control mode or a rapid temperature control mode.

[0112] 203. When the air guide plate operation mode is the conventional temperature adjustment mode, a first operation control operation is performed on the inner air guide plate in the target air conditioner according to the cooling demand information.

[0113] 204. When the air guide plate operation mode is the rapid temperature adjustment mode, a second operation control operation is performed on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount.

[0114] In the embodiment of the present invention, the second operation control operation includes a rotational shaking control operation for the inner air guide plate; the rotational shaking control operation is used to control the inner air guide plate to generate a vortex airflow.

[0115] In an embodiment of the present invention, the cooling speed corresponding to the conventional temperature control mode is slower than the cooling speed corresponding to the rapid temperature control mode; optionally, in the conventional temperature control mode, the target air conditioner does not need to control the inner air guide plate to create vortex airflow; and, in the conventional temperature control mode, only the most basic cooling control is performed on the target air conditioner, such as directly calling the control parameters of the set conventional temperature control mode; that is, the parameter control / setting complexity for the target control in the conventional temperature control mode is lower than the parameter control / setting complexity for the target control in the rapid temperature control mode.

[0116] It can be seen that implementation Figure 2The described intelligent control method of the air guide plate applied to the smart air conditioner first identifies the cooling demand information of the working scene of the target air conditioner, and then determines the specific required cooling speed and cooling amount. This intelligent analysis based on actual needs enables the target air conditioner to flexibly adapt to the temperature control requirements in different scenes, which is beneficial to improving the applicability of the target air conditioner; further, by distinguishing between the conventional temperature control mode and the rapid temperature control mode, and selecting the most suitable air guide plate operation mode according to actual needs, it is beneficial to reduce unnecessary energy consumption. Among them, when the cooling demand is not high, the conventional temperature control mode is adopted to ensure comfort while reducing energy consumption; in the occasion where rapid cooling is required, it is quickly switched to the rapid temperature control mode. Temperature adjustment mode ensures fast response and efficient cooling. This dynamic adjustment strategy realizes the energy efficiency optimization of the target air conditioner and improves the energy saving effect. In addition, for the rapid temperature adjustment mode, a rotational jitter control operation is specially introduced to control the inner air guide plate to create vortex airflow. The vortex airflow can enhance the air flow efficiency and accelerate the indoor heat exchange process, thereby achieving a faster cooling effect. That is, it is conducive to improving the cooling efficiency and cooling effect of the rapid temperature adjustment mode. At the same time, this refined airflow control also helps to reduce the problem of uneven indoor temperature distribution, which is conducive to improving the comfort and temperature uniformity of the working scene of the target air conditioner, and then greatly improves the user experience of the target air conditioner.

[0117] In an optional embodiment, the above step 203 performs the first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information, specifically including:

[0118] Obtain the initial operating parameters currently set for the target air conditioner in the conventional temperature control mode, and determine whether it is necessary to perform a parameter correction operation on the initial operating parameters according to the cooling demand information; when it is determined that it is not necessary to perform a parameter correction operation on the initial operating parameters, control the target air conditioner to perform a cooling process;

[0119] When it is determined that a parameter correction operation needs to be performed on the initial operating parameters, the initial operating parameters are corrected according to the cooling demand information, and then the target air conditioner is controlled to perform cooling processing;

[0120] The duration of the cooling process is the first temperature control duration corresponding to the cooling demand information, and the cooling process includes at least one of the air outlet speed control and / or intermittent operation frequency control for the target air conditioner.

[0121] It can be seen that in this optional embodiment, an intelligent adjustment mechanism that responds to user needs is set for the conventional temperature adjustment mode. Based on the cooling demand information, a judgment is made as to whether the initial operating parameters need to be adjusted. If not, the target air-conditioner is controlled to cool down according to the initial operating parameters, thereby reducing unnecessary calculation and adjustment processes and improving the control and response speed of the target air-conditioner. If so, the initial operating parameters are intelligently corrected in combination with the cooling demand information. The setting of this type of adaptive adjustment mechanism ensures that the air-conditioning operating parameters can respond to environmental changes and user needs in real time, and avoids the problems of low energy efficiency or insufficient comfort that may be caused by fixed parameter settings. That is, it is conducive to improving the control flexibility and cooling efficiency of the target air-conditioner under the conventional temperature adjustment mode, and is also conducive to improving the user's control experience when using the target air-conditioner.

[0122] Embodiment 2

[0123] See also Figure 3 , Figure 3 1 is a flow chart of another intelligent control method for air guide plates applied to intelligent air conditioners disclosed in an embodiment of the present invention. Figure 3 The described intelligent control method for air deflectors applied to smart air conditioners can be applied to intelligent control devices for air deflectors applied to smart air conditioners, and the embodiments of the present invention do not limit this. Figure 3 As shown, the intelligent control method of the air guide plate applied to the intelligent air conditioner may include the following operations:

[0124] 301. Determine a required cooling speed and a required cooling amount of the target air conditioner according to the determined cooling demand information of the working scene where the target air conditioner is located.

[0125] 302. Obtain target operating parameters corresponding to the air guide plate operating mode pre-set by the target air conditioner, the target operating parameters including a first operating parameter corresponding to the conventional temperature adjustment mode and a second operating parameter corresponding to the rapid temperature adjustment mode; the air guide plate operating mode includes at least the conventional temperature adjustment mode or the rapid temperature adjustment mode.

[0126] 303. Determine whether the required cooling amount is greater than the set rated cooling value.

[0127] In the embodiment of the present invention, when the judgment result of step 303 is yes, step 304 is executed; when the judgment result of step 303 is no, step 305 is executed.

[0128] 304. Determine the rapid temperature adjustment mode as the air guide plate operation mode in the air conditioner.

[0129] 305. Perform numerical conversion on the required cooling amount and the required cooling speed according to the equipment operating parameters of the target air conditioner to obtain a numerical conversion result that matches the cooling demand information; the numerical conversion result at least includes the conversion operating parameters.

[0130] 306. Perform fitness calculation on the conversion operating parameter, the first operating parameter and the second operating parameter respectively, and determine the operating mode corresponding to the parameter with the highest fitness with the conversion operating parameter in the target operating parameter as the air guide plate operating mode in the target air conditioner.

[0131] 307. When the air guide plate operation mode is the conventional temperature adjustment mode, a first operation control operation is performed on the inner air guide plate in the target air conditioner according to the cooling demand information.

[0132] 308. When the air guide plate operation mode is the rapid temperature adjustment mode, a second operation control operation is performed on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount.

[0133] In the embodiment of the present invention, for other descriptions of step 301 and step 307-step 308, please refer to other specific descriptions of step 201 and step 203-step 204 in embodiment 1, and the embodiment of the present invention will not be repeated here.

[0134] It can be seen that implementation Figure 3 The described intelligent control method for air deflectors applied to smart air conditioners introduces numerical conversion and adaptability calculation mechanisms to ensure accurate selection of air deflector operating modes, which is beneficial to improving the accuracy of determining air deflector operating modes; wherein the required cooling amount is used as the first-level determination standard for the air deflector operating mode, and is compared with the rated cooling value; then the conversion values ​​corresponding to the required cooling amount and the required cooling speed are used as the second-level determination standard for the air deflector operating mode, and numerical conversion is performed with the first operating parameters and the second operating parameters, so that the air deflector operating mode that best suits the current needs is accurately matched through the two levels, thereby improving the accuracy of determining the air deflector operating mode.

[0135] In an optional embodiment, the above step 304 performs numerical conversion on the required cooling amount and the required cooling speed according to the equipment operating parameters of the target air conditioner, and the method of obtaining the numerical conversion result matching the cooling demand information specifically includes:

[0136] Obtaining historical operation data of the target air conditioner, the historical operation data including unit cooling data of the target air conditioner within a preset historical record period, the historical record period corresponding to the current time; the unit cooling data including a plurality of unit cooling rates and their corresponding cooling parameters, the unit cooling rate being used to indicate the time required for the target air conditioner to cool a preset unit temperature for a working scene;

[0137] Select a target unit cooling rate that matches the required cooling rate from all unit cooling rates; calculate the cooling time based on the target unit cooling rate and the required cooling amount;

[0138] The target cooling parameters and cooling duration corresponding to the target unit cooling rate are determined as numerical conversion results that match the cooling demand information.

[0139] In this optional embodiment, the recording period corresponding to the historical record period may be a week, a month, etc.; further, the historical record period refers to a period in the recording period, such as the time period from 2 pm to 4 pm in a week.

[0140] It can be seen that in this optional embodiment, by selecting the target unit cooling rate that matches the current required cooling speed from the historical data, and calculating the cooling time in combination with the required cooling amount, personalized and precise adjustment of the air-conditioning operating parameters is achieved. This control strategy based on actual operating data ensures that the air-conditioning can operate in a manner that best meets current needs, which is conducive to improving the accuracy and efficiency of cooling control for the target air-conditioning; in addition, by achieving personalized and precise temperature control, users no longer need to manually adjust air-conditioning parameters or wait for too long a cooling time, but can enjoy a more comfortable and convenient temperature control service, which is conducive to improving the user experience of using the target air-conditioning and the usage stickiness of products related to the target air-conditioning.

[0141] In another optional embodiment, the above step 307 performs the second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, specifically including:

[0142] According to the required cooling speed and the required cooling amount, the second operating parameter is adjusted to obtain a basic operating parameter corresponding to the second operating parameter; the parameter adjustment at least includes adjusting the output power and cooling time of the target air conditioner;

[0143] Obtaining scene data corresponding to the working scene, the scene data including scene layout information and scene temperature of the working scene, the scene layout information including scene area and scene heat exchange information;

[0144] According to the scene layout information and scene temperature, combined with fluid dynamics, the rotational vibration control parameters for the inner air guide plate are determined;

[0145] The rotational jitter control parameter is added to the second operating parameter, and a second operating control operation is performed on the target air conditioner according to the second operating parameter, the second operating control operation including at least one of frequency control, amplitude control and duration control corresponding to the rotational jitter of the inner air guide plate.

[0146] It can be seen that in this optional embodiment, by obtaining specific data of the working scene, including scene layout information and scene temperature, a more accurate basis is provided for the control of the inner air guide plate, so that an airflow control strategy that is more suitable for the current scene can be formulated, which is conducive to improving the accuracy of determining subsequent rotational jitter control parameters; wherein, fluid dynamics can simulate and predict the movement laws of airflow, thereby helping to design the optimal air guide plate action mode. This optimization control method based on physical principles makes the movement of the inner air guide plate more scientific and reasonable, and further improves the accuracy of parameter determination of the rotational jitter control parameter; in addition, the determined second operating parameter can perform at least one of the frequency control, amplitude control and duration control corresponding to the rotational jitter of the inner air guide plate. By adjusting these parameters, fine control of the airflow can be achieved, so that the cold air can be more evenly distributed in the working scene, reducing the problems of uneven temperature and direct blowing of cold air, thereby improving the user's comfort experience.

[0147] In this optional embodiment, the above method of determining the rotational vibration control parameters for the inner air guide plate based on the scene layout information and the scene temperature in combination with fluid dynamics specifically includes:

[0148] According to the scene layout information, determine the core cooling area, and then determine the spatial distance and relative position of the target air conditioner relative to the core cooling area;

[0149] Determine the component control parameters of the inner air guide plate for the core cooling area according to the spatial distance and the relative orientation, wherein the component control parameters at least include the deflection angle of the inner air guide plate and its corresponding angle deflection frequency and angle dwell time;

[0150] According to the scene temperature, scene area, and scene heat exchange information, a cooling value correction is performed on the required cooling amount to update the required cooling amount;

[0151] The rotational jitter control parameters for the inner air guide plate are determined based on the component control parameters, the updated required cooling amount, and combined with fluid dynamics.

[0152] It can be seen that in this optional embodiment, the relevant scene layout information of the working scene can be used as the core to further refine the data correction and parameter determination, which is beneficial to improving the accuracy of the rotational jitter control parameters finally determined.

[0153] In another optional embodiment, the second operating parameters include multiple control nodes, the second operating parameters include multiple sets of node operating parameters, each control node has a set of node operating parameters that matches it, and each set of node operating parameters includes basic operating parameters and rotational jitter control parameters; different control nodes have different corresponding node operating parameters;

[0154] In the process of performing the second operation control operation on the target air conditioner according to the second operation parameter in step 207, the method further includes:

[0155] Determine whether the node switching condition is currently met. When it is determined that the node switching condition is currently met, switch the node operation parameters corresponding to the current control node to the node operation parameters corresponding to the subsequent control node. All control nodes include the current control node and the subsequent control node; and the subsequent control node is adjacent to the current control node, and the execution time of the subsequent control node is after the execution time of the current control node;

[0156] The node switching conditions are as follows:

[0157] The current moment reaches the node start time of the subsequent control node, and / or the real-time monitoring temperature of the working scene reaches the node start temperature adjustment temperature correspondingly set at the subsequent control node.

[0158] It can be seen that in this optional embodiment, by subdividing the second operating parameter into multiple control nodes, each node has independent node operating parameters (including basic operating parameters and rotational jitter control parameters). The subdivided control nodes greatly improve the flexibility and accuracy of air-conditioning control; specifically, this segmented control method allows the target air-conditioner to automatically switch to the most suitable operating mode under different time periods or temperature conditions according to actual needs and environmental changes, thereby improving the control precision of the temperature regulation of the target air-conditioner; and, the design of the multiple control nodes and their corresponding node operating parameters enables the target air-conditioner to maintain high stability and reliability when facing complex and changeable operating environments and user needs; even if an abnormal situation occurs in a certain control node, the target air-conditioner can quickly switch to the next control node to ensure the normal operation of the air-conditioner, which is conducive to improving the use stability of the target air-conditioner.

[0159] In another optional embodiment, during the process of performing the second operation control operation on the target air conditioner according to the second operation parameter in step 207, the method further includes:

[0160] For each current control node, multiple real-time scene temperatures of the working scene under the current control node are collected;

[0161] Analyze all real-time scene temperatures corresponding to the current control node to obtain temperature change information corresponding to the current control node;

[0162] Determine the predicted node temperature corresponding to the working scenario when the node cutoff time of the current control node is reached according to the temperature change information corresponding to the current control node and the remaining node time of the current control node;

[0163] Determine whether the predicted node temperature is lower than or equal to a preset node cutoff temperature, and when it is determined that the predicted node temperature is higher than the node cutoff temperature, calculate the temperature difference between the predicted node temperature and the node cutoff temperature;

[0164] According to the temperature difference, performing a difference correction operation on the basic operating parameters and the rotational jitter control parameters so that the predicted node temperature after the difference correction is lower than or equal to the node cutoff temperature;

[0165] The preset node cutoff temperature is the temperature set in the second operating parameter when the node cutoff moment of the current control node is reached.

[0166] It can be seen that in this optional embodiment, by real-time collection of multiple scene temperatures of the working scene and detailed analysis thereof, it is beneficial to improve the convenience and accuracy of the user's determination of the temperature change situation under the current control node; further, based on these real-time data, the target air conditioner can more accurately predict the scene temperature at the node cut-off time, thereby achieving fine adjustment of the air conditioning operating parameters to ensure a high degree of consistency between the actual temperature and the target temperature; when it is predicted that the temperature at the node cut-off time may exceed the preset node cut-off temperature, the target air conditioner can automatically calculate the temperature difference, and accordingly perform difference correction on the basic operating parameters and the rotation jitter control parameters. This adaptive adjustment mechanism enables the air-conditioning system to automatically optimize the operating parameters according to the real-time situation to cope with various complex and changeable environmental conditions, which is beneficial to the control stability and reliability of the air-conditioning system.

[0167] Embodiment 3

[0168] See also Figure 4 , Figure 4 It is a structural schematic diagram of an intelligent control device for air deflectors applied to smart air conditioners disclosed in an embodiment of the present invention. The intelligent control device for air deflectors applied to smart air conditioners may be an intelligent control terminal for air deflectors applied to smart air conditioners, intelligent control equipment for air deflectors applied to smart air conditioners, an intelligent control system for air deflectors applied to smart air conditioners, or an intelligent control server for air deflectors applied to smart air conditioners. The intelligent control server for air deflectors applied to smart air conditioners may be a local server, a remote server, or a cloud server (also called a cloud server). When the intelligent control server for air deflectors applied to smart air conditioners is a non-cloud server, the non-cloud server may be able to communicate with the cloud server, which is not limited in the embodiment of the present invention. Figure 4 As shown, the intelligent control device for air guide plates applied to intelligent air conditioners may include a first determination module 401, a second determination module 402, a first operation control module 403, and a second operation control module 404, wherein:

[0169] The first determination module 401 is used to determine the required cooling speed and required cooling amount of the target air conditioner according to the determined cooling requirement information of the working scene where the target air conditioner is located.

[0170] The second determination module 402 is used to determine the air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount; the air guide plate operation mode at least includes a conventional temperature adjustment mode or a rapid temperature adjustment mode.

[0171] The first operation control module 403 is used to perform a first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information when the air guide plate operation mode is the normal temperature adjustment mode.

[0172] The second operation control module 404 is used to perform a second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount when the air guide plate operation mode is the rapid temperature adjustment mode. The second operation control operation includes a rotational jitter control operation on the inner air guide plate; the rotational jitter control operation is used to control the inner air guide plate to generate vortex airflow.

[0173] In this optional embodiment, the cooling speed corresponding to the conventional temperature adjustment mode is slower than the cooling speed corresponding to the fast temperature adjustment mode.

[0174] It can be seen that implementation Figure 4 The described intelligent control device for air guide plates applied to smart air conditioners first identifies the cooling demand information of the working scene of the target air conditioner, and then determines the specific required cooling speed and cooling amount. This intelligent analysis based on actual needs enables the target air conditioner to flexibly adapt to the temperature control requirements in different scenes, which is beneficial to improving the applicability of the target air conditioner; further, by distinguishing between conventional temperature control mode and rapid temperature control mode, and selecting the most suitable air guide plate operation mode according to actual needs, it is beneficial to reduce unnecessary energy consumption. Among them, the conventional temperature control mode is adopted when the cooling demand is not high, which ensures comfort while reducing energy consumption; and in situations where rapid cooling is required, it quickly switches to the rapid temperature control mode. Temperature adjustment mode ensures fast response and efficient cooling. This dynamic adjustment strategy realizes the energy efficiency optimization of the target air conditioner and improves the energy saving effect. In addition, for the rapid temperature adjustment mode, a rotational jitter control operation is specially introduced to control the inner air guide plate to create vortex airflow. The vortex airflow can enhance the air flow efficiency and accelerate the indoor heat exchange process, thereby achieving a faster cooling effect. That is, it is conducive to improving the cooling efficiency and cooling effect of the rapid temperature adjustment mode. At the same time, this refined airflow control also helps to reduce the problem of uneven indoor temperature distribution, which is conducive to improving the comfort and temperature uniformity of the working scene of the target air conditioner, and then greatly improves the user experience of the target air conditioner.

[0175] In an optional embodiment, the second determining module 402 determines the air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount, specifically including:

[0176] Acquire target operating parameters corresponding to the air guide plate operating mode pre-set by the target air conditioner, the target operating parameters including a first operating parameter corresponding to the conventional temperature adjustment mode and a second operating parameter corresponding to the rapid temperature adjustment mode;

[0177] Determine whether the required cooling amount is greater than the set rated cooling value, and when it is determined that the required cooling amount is greater than the set rated cooling value, determine the rapid temperature adjustment mode as the air guide plate operation mode in the air conditioner;

[0178] When it is determined that the required cooling amount is less than or equal to the set rated cooling value, numerical conversion is performed on the required cooling amount and the required cooling speed according to the equipment operating parameters of the target air conditioner to obtain a numerical conversion result that matches the cooling demand information; the numerical conversion result at least includes the conversion operating parameters;

[0179] The conversion operating parameter is respectively matched with the first operating parameter and the second operating parameter, and the operating mode corresponding to the parameter with the highest matching degree with the conversion operating parameter in the target operating parameter is determined as the air guide plate operating mode in the target air conditioner.

[0180] It can be seen that in this optional embodiment, the introduction of numerical conversion and adaptability calculation mechanism ensures the accurate selection of the air guide plate operating mode, which is conducive to improving the accuracy of determining the air guide plate operating mode; wherein, the required cooling amount is used as the determination standard of the air guide plate operating mode of the first level, and is compared with the rated cooling value; then the conversion values ​​corresponding to the required cooling amount and the required cooling speed are used as the determination standard of the air guide plate operating mode of the second level, and numerical conversion is performed with the first operating parameter and the second operating parameter, so that the air guide plate operating mode that best suits the current demand is accurately matched through these two levels, thereby improving the accuracy of determining the air guide plate operating mode.

[0181] In another optional embodiment, the second determination module 402 performs numerical conversion on the required cooling amount and the required cooling speed according to the equipment operation parameters of the target air conditioner, and the method of obtaining the numerical conversion result matching the cooling demand information specifically includes:

[0182] Obtaining historical operation data of the target air conditioner, the historical operation data including unit cooling data of the target air conditioner within a preset historical record period, the historical record period corresponding to the current time; the unit cooling data including a plurality of unit cooling rates and their corresponding cooling parameters, the unit cooling rate being used to indicate the time required for the target air conditioner to cool a preset unit temperature for a working scene;

[0183] Select a target unit cooling rate that matches the required cooling rate from all unit cooling rates; calculate the cooling time based on the target unit cooling rate and the required cooling amount;

[0184] The target cooling parameters and cooling duration corresponding to the target unit cooling rate are determined as numerical conversion results that match the cooling demand information.

[0185] It can be seen that in this optional embodiment, by selecting the target unit cooling rate that matches the current required cooling speed from the historical data, and calculating the cooling time in combination with the required cooling amount, personalized and precise adjustment of the air-conditioning operating parameters is achieved. This control strategy based on actual operating data ensures that the air-conditioning can operate in a manner that best meets current needs, which is conducive to improving the accuracy and efficiency of cooling control for the target air-conditioning; in addition, by achieving personalized and precise temperature control, users no longer need to manually adjust air-conditioning parameters or wait for too long a cooling time, but can enjoy a more comfortable and convenient temperature control service, which is conducive to improving the user experience of using the target air-conditioning and the usage stickiness of products related to the target air-conditioning.

[0186] In yet another optional embodiment, the first operation control module 403 performs the first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information, specifically including:

[0187] Obtain the initial operating parameters currently set for the target air conditioner in the conventional temperature control mode, and determine whether it is necessary to perform a parameter correction operation on the initial operating parameters according to the cooling demand information; when it is determined that it is not necessary to perform a parameter correction operation on the initial operating parameters, control the target air conditioner to perform a cooling process;

[0188] When it is determined that a parameter correction operation needs to be performed on the initial operating parameters, the initial operating parameters are corrected according to the cooling demand information, and then the target air conditioner is controlled to perform cooling processing;

[0189] The duration of the cooling process is the first temperature control duration corresponding to the cooling demand information, and the cooling process includes at least one of the air outlet speed control and / or intermittent operation frequency control for the target air conditioner.

[0190] It can be seen that in this optional embodiment, an intelligent adjustment mechanism that responds to user needs is set for the conventional temperature adjustment mode. Based on the cooling demand information, a judgment is made as to whether the initial operating parameters need to be adjusted. If not, the target air-conditioner is controlled to cool down according to the initial operating parameters, thereby reducing unnecessary calculation and adjustment processes and improving the control and response speed of the target air-conditioner. If so, the initial operating parameters are intelligently corrected in combination with the cooling demand information. The setting of this type of adaptive adjustment mechanism ensures that the air-conditioning operating parameters can respond to environmental changes and user needs in real time, and avoids the problems of low energy efficiency or insufficient comfort that may be caused by fixed parameter settings. That is, it is conducive to improving the control flexibility and cooling efficiency of the target air-conditioner under the conventional temperature adjustment mode, and is also conducive to improving the user's control experience when using the target air-conditioner.

[0191] In another optional embodiment, the second operation control module 404 performs the second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, specifically including:

[0192] According to the required cooling speed and the required cooling amount, the second operating parameter is adjusted to obtain a basic operating parameter corresponding to the second operating parameter; the parameter adjustment at least includes adjusting the output power and cooling time of the target air conditioner;

[0193] Obtaining scene data corresponding to the working scene, the scene data including scene layout information and scene temperature of the working scene, the scene layout information including scene area and scene heat exchange information;

[0194] According to the scene layout information and scene temperature, combined with fluid dynamics, the rotational vibration control parameters for the inner air guide plate are determined;

[0195] The rotational jitter control parameter is added to the second operating parameter, and a second operating control operation is performed on the target air conditioner according to the second operating parameter, the second operating control operation including at least one of frequency control, amplitude control and duration control corresponding to the rotational jitter of the inner air guide plate.

[0196] It can be seen that in this optional embodiment, by obtaining specific data of the working scene, including scene layout information and scene temperature, a more accurate basis is provided for the control of the inner air guide plate, so that an airflow control strategy that is more suitable for the current scene can be formulated, which is conducive to improving the accuracy of determining subsequent rotational jitter control parameters; wherein, fluid dynamics can simulate and predict the movement laws of airflow, thereby helping to design the optimal air guide plate action mode. This optimization control method based on physical principles makes the movement of the inner air guide plate more scientific and reasonable, and further improves the accuracy of parameter determination of the rotational jitter control parameter; in addition, the determined second operating parameter can perform at least one of the frequency control, amplitude control and duration control corresponding to the rotational jitter of the inner air guide plate. By adjusting these parameters, fine control of the airflow can be achieved, so that the cold air can be more evenly distributed in the working scene, reducing the problems of uneven temperature and direct blowing of cold air, thereby improving the user's comfort experience.

[0197] In another optional embodiment, the second operating parameters include multiple control nodes, the second operating parameters include multiple sets of node operating parameters, each control node has a set of node operating parameters that matches it, and each set of node operating parameters includes basic operating parameters and rotational jitter control parameters; different control nodes have different corresponding node operating parameters;

[0198] See also Figure 5 , Figure 5 Schematic diagram of the structure of an intelligent control device for air guide plates applied to intelligent air conditioners disclosed in an embodiment of the present invention. Figure 5 As shown, the device may further include a judgment module 405 and a parameter switching module 406, wherein:

[0199] A judgment module 405 is used to judge whether a node switching condition is currently satisfied during the process in which the second operation control module 404 performs a second operation control operation on the target air conditioner according to the second operation parameter;

[0200] The parameter switching module 406 is used to switch the node operation parameters corresponding to the current control node to the node operation parameters corresponding to the subsequent control node when the judgment module 405 judges that the node switching condition is currently met, and all control nodes include the current control node and the subsequent control node; and the subsequent control node is adjacent to the current control node, and the execution time of the subsequent control node is after the execution time of the current control node;

[0201] The node switching conditions are as follows:

[0202] The current moment reaches the node start time of the subsequent control node, and / or the real-time monitoring temperature of the working scene reaches the node start temperature adjustment temperature correspondingly set at the subsequent control node.

[0203] It can be seen that implementation Figure 5 The described intelligent control device for air guide plates applied to smart air conditioners, by subdividing the second operating parameters into multiple control nodes, each node has independent node operating parameters (including basic operating parameters and rotational jitter control parameters). The subdivided control nodes greatly improve the flexibility and accuracy of air conditioning control; specifically, this segmented control method allows the target air conditioner to automatically switch to the most suitable operating mode under different time periods or temperature conditions according to actual needs and environmental changes, thereby improving the control precision of the temperature regulation of the target air conditioner; and, the design of the multiple control nodes and their corresponding node operating parameters enables the target air conditioner to maintain high stability and reliability when facing complex and changeable operating environments and user needs; even if an abnormal situation occurs in a certain control node, the target air conditioner can quickly switch to the next control node to ensure the normal operation of the air conditioner, which is conducive to improving the use stability of the target air conditioner.

[0204] In another optional embodiment, Figure 5 As shown, the device also includes a collection module 407, an information analysis module 408 and a difference correction module 409:

[0205] The collection module 407 is used for collecting multiple real-time scene temperatures of the working scene under each current control node during the process in which the second operation control module 404 performs the second operation control operation on the target air conditioner according to the second operation parameter;

[0206] The information analysis module 408 is used to analyze all real-time scene temperatures corresponding to the current control node to obtain temperature change information corresponding to the current control node;

[0207] The first determination module 401 is further used to determine the predicted node temperature corresponding to the working scenario when the node cutoff time of the current control node is reached according to the temperature change information corresponding to the current control node and the remaining node time of the current control node;

[0208] The judgment module 405 is also used to judge whether the predicted node temperature is lower than or equal to the preset node cutoff temperature;

[0209] The difference correction module 409 is used to calculate the temperature difference between the predicted node temperature and the node cut-off temperature when the judgment module 405 judges that the predicted node temperature is higher than the node cut-off temperature;

[0210] The difference correction module 409 is further used to perform a difference correction operation on the basic operating parameters and the rotational jitter control parameters according to the temperature difference, so that the predicted node temperature after the difference correction is lower than or equal to the node cut-off temperature;

[0211] The preset node cutoff temperature is the temperature set in the second operating parameter when the node cutoff moment of the current control node is reached.

[0212] It can be seen that implementation Figure 5 The described intelligent control device for air guide plates applied to smart air conditioners collects multiple scene temperatures of working scenes in real time and performs detailed analysis on them, which is beneficial to improving the convenience and accuracy of users in determining temperature changes under the current control node; further, based on these real-time data, the target air conditioner can more accurately predict the scene temperature at the node cutoff time, thereby achieving fine adjustment of the air conditioner operating parameters to ensure a high degree of consistency between the actual temperature and the target temperature; when it is predicted that the temperature at the node cutoff time may exceed the preset node cutoff temperature, the target air conditioner can automatically calculate the temperature difference, and accordingly perform difference correction on the basic operating parameters and rotation jitter control parameters. This adaptive adjustment mechanism enables the air-conditioning system to automatically optimize the operating parameters according to the real-time situation to cope with various complex and changeable environmental conditions, which is beneficial to the control stability and reliability of the air-conditioning system.

[0213] Embodiment 4

[0214] See also Figure 6 , Figure 6 FIG. 1 is a schematic diagram of another structure of an intelligent air guide plate control device for an intelligent air conditioner disclosed in an embodiment of the present invention. Figure 6 As shown, the intelligent control device for the air guide plate applied to the intelligent air conditioner may include:

[0215] A memory 501 storing executable program codes;

[0216] a processor 502 coupled to the memory 501;

[0217] The processor 502 calls the executable program code stored in the memory 501 to execute the steps of the intelligent control method of the air guide plate applied to the intelligent air conditioner described in the first embodiment of the present invention or the second embodiment of the present invention.

[0218] Embodiment 5

[0219] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the intelligent control method of the air guide plate applied to the intelligent air conditioner described in Embodiment 1 or Embodiment 2 of the present invention.

[0220] Embodiment 6

[0221] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the intelligent control method of the air guide plate applied to the intelligent air conditioner described in Example 1 or Example 2.

[0222] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0223] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0224] Finally, it should be noted that the intelligent control method and device for air guide plates applied to smart air conditioners disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control method for air guide plates applied to intelligent air conditioners, characterized in that: The method comprises: Determine the required cooling speed and required cooling amount of the target air conditioner according to the determined cooling demand information of the working scene where the target air conditioner is located; Determining an air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount; the air guide plate operation mode at least includes a conventional temperature adjustment mode or a rapid temperature adjustment mode; When the air guide plate operation mode is the conventional temperature adjustment mode, performing a first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information; When the air guide plate operation mode is the rapid temperature adjustment mode, a second operation control operation is performed on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, the second operation control operation includes a rotational shaking control operation for the inner air guide plate; the rotational shaking control operation is used to control the inner air guide plate to generate vortex street airflow; Among them, the cooling speed corresponding to the conventional temperature adjustment mode is slower than the cooling speed corresponding to the fast temperature adjustment mode.

2. The intelligent control method of air guide plate applied to intelligent air conditioner according to claim 1 is characterized in that: The step of determining the air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount includes: Acquire target operating parameters corresponding to the air guide plate operating mode pre-set by the target air conditioner, wherein the target operating parameters include a first operating parameter corresponding to the conventional temperature adjustment mode and a second operating parameter corresponding to the rapid temperature adjustment mode; Determine whether the required cooling amount is greater than a set rated cooling value, and when it is determined that the required cooling amount is greater than the set rated cooling value, determine the rapid temperature adjustment mode as the air guide plate operation mode in the air conditioner; When it is determined that the required cooling amount is less than or equal to the set rated cooling value, the required cooling amount and the required cooling speed are numerically converted according to the equipment operating parameters of the target air conditioner to obtain a numerical conversion result that matches the cooling demand information; the numerical conversion result at least includes the conversion operating parameters; The conversion operating parameter is respectively calculated for suitability with the first operating parameter and the second operating parameter, and the operating mode corresponding to the parameter in the target operating parameter with the highest suitability with the conversion operating parameter is determined as the air guide plate operating mode in the target air conditioner.

3. The intelligent control method of air guide plate applied to intelligent air conditioner according to claim 2 is characterized in that: The performing of numerical conversion on the required cooling amount and the required cooling speed according to the equipment operation parameters of the target air conditioner to obtain a numerical conversion result matching the cooling demand information includes: Acquire historical operation data of the target air conditioner, the historical operation data including unit cooling data of the target air conditioner within a preset historical record period, the historical record period corresponding to the current moment; the unit cooling data including a plurality of unit cooling rates and their corresponding cooling parameters, the unit cooling rate being used to indicate the time required for the target air conditioner to cool a preset unit temperature for the working scene; Selecting a target unit cooling rate that matches the required cooling speed from all the unit cooling rates; calculating the cooling time according to the target unit cooling rate and the required cooling amount; The target cooling parameter corresponding to the target unit cooling rate and the cooling duration are determined as numerical conversion results that match the cooling demand information.

4. The intelligent control method for air guide plates applied to intelligent air conditioners according to any one of claims 1 to 3, characterized in that: The performing a first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information includes: acquiring the initial operating parameters currently set for the target air conditioner in the conventional temperature adjustment mode, and judging whether it is necessary to perform a parameter correction operation for the initial operating parameters according to the temperature reduction demand information, and when it is judged that it is not necessary to perform the parameter correction operation for the initial operating parameters, controlling the target air conditioner to perform a temperature reduction process; When it is determined that the parameter correction operation needs to be performed on the initial operating parameters, the parameter correction is performed on the initial operating parameters according to the cooling demand information, and then the target air conditioner is controlled to perform the cooling process; Among them, the duration of the cooling process is the first temperature control duration corresponding to the cooling demand information, and the cooling process includes at least one of the air outlet speed control and / or intermittent operation frequency control for the target air conditioner.

5. The intelligent control method of air guide plate applied to intelligent air conditioner according to claim 2 or 3, characterized in that: The performing a second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount includes: According to the required cooling speed and the required cooling amount, performing parameter adjustment on the second operating parameter to obtain a basic operating parameter corresponding to the second operating parameter; the parameter adjustment at least includes adjusting the output power and cooling time of the target air conditioner; Acquire scene data corresponding to the working scene, wherein the scene data includes scene layout information and scene temperature of the working scene, and the scene layout information includes scene area and scene heat exchange information; Determining a rotational vibration control parameter for the inner air guide plate according to the scene layout information and the scene temperature in combination with fluid dynamics; The rotational jitter control parameter is added to the second operating parameter, and a second operating control operation is performed on the target air conditioner according to the second operating parameter, wherein the second operating control operation includes at least one of frequency control, amplitude control, and duration control corresponding to the rotational jitter of the inner air guide plate.

6. The intelligent control method of air guide plate applied to intelligent air conditioner according to claim 5, characterized in that: The second operating parameters include a plurality of control nodes, the second operating parameters include a plurality of sets of node operating parameters, each control node has a set of node operating parameters that matches it, and each set of node operating parameters includes the basic operating parameters and the rotation jitter control parameters; Different control nodes have different corresponding node operation parameters; In the process of performing the second operation control operation on the target air conditioner according to the second operation parameter, the method further includes: Determine whether a node switching condition is currently met, and when it is determined that the node switching condition is currently met, switch the node operation parameter corresponding to the current control node to the node operation parameter corresponding to the subsequent control node, all the control nodes include the current control node and the subsequent control node; and the subsequent control node is adjacent to the current control node, and the execution time of the subsequent control node is after the execution time of the current control node; Wherein, satisfying the node switching condition specifically includes: The current moment reaches the node start time of the subsequent control node, and / or the real-time monitoring temperature of the working scene reaches the node start temperature adjustment temperature corresponding to the setting of the subsequent control node.

7. The intelligent control method of air guide plate applied to intelligent air conditioner according to claim 6, characterized in that: In the process of performing the second operation control operation on the target air conditioner according to the second operation parameter, the method further includes: For each of the current control nodes, collecting a plurality of real-time scene temperatures of the working scene under the current control node; Analyze all the real-time scene temperatures corresponding to the current control node to obtain temperature change information corresponding to the current control node; Determine, according to the temperature change information corresponding to the current control node and the remaining node duration of the current control node, the predicted node temperature corresponding to the working scenario when the node cutoff time of the current control node is reached; Determining whether the predicted node temperature is lower than or equal to a preset node cutoff temperature, and when it is determined that the predicted node temperature is higher than the node cutoff temperature, calculating a temperature difference between the predicted node temperature and the node cutoff temperature; According to the temperature difference, performing a difference correction operation on the basic operating parameter and the rotational jitter control parameter so that the predicted node temperature after the difference correction is lower than or equal to the node cutoff temperature; The preset node cutoff temperature is the temperature set in the second operating parameter when the node cutoff moment of the current control node is reached.

8. An intelligent control device for air guide plates used in intelligent air conditioners, characterized in that: The device comprises: A first determination module is used to determine a required cooling speed and a required cooling amount of the target air conditioner according to the determined cooling requirement information of the working scene where the target air conditioner is located; A second determination module is used to determine an air guide plate operation mode in the target air conditioner according to the required cooling speed and the required cooling amount; the air guide plate operation mode includes at least a conventional temperature adjustment mode or a rapid temperature adjustment mode; A first operation control module, configured to perform a first operation control operation on the inner air guide plate in the target air conditioner according to the cooling demand information when the air guide plate operation mode is the conventional temperature adjustment mode; a second operation control module, configured to, when the air guide plate operation mode is the rapid temperature adjustment mode, perform a second operation control operation on the inner air guide plate in the target air conditioner according to the required cooling speed and the required cooling amount, wherein the second operation control operation includes a rotational shaking control operation for the inner air guide plate; the rotational shaking control operation is used to control the inner air guide plate to generate a vortex street airflow; Among them, the cooling speed corresponding to the conventional temperature adjustment mode is slower than the cooling speed corresponding to the fast temperature adjustment mode.

9. An intelligent control device for air guide plates used in intelligent air conditioners, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent control method of the air guide plate applied to the smart air conditioner as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent control method of the air guide plate applied to the intelligent air conditioner as described in any one of claims 1-7.

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