Air conditioner lamp control method, device and equipment and storage medium

Abstract

The invention relates to the technical field of air conditioner lamps, in particular to an air conditioner lamp control method and device, equipment and a storage medium. Based on the real-time environment temperature, the preset target temperature and the area density information, a fuzzy PID algorithm is adopted to calculate refrigeration adjustment parameters; air outlet adjustment parameters are inquired from a pre-constructed four-dimensional mapping table in combination with the area density information, and meanwhile, the included angle between the air guide blades and the user is calculated based on the user position information; and finally, refrigerating and air-out working states of the air-conditioning lamp are cooperatively regulated and controlled. According to the method, the user distribution density can be dynamically adapted, and the problem of local supercooling or insufficient refrigerating capacity is effectively avoided; the direct blowing risk of airflow is reduced by adjusting air outlet parameters in real time; coupling control over the refrigerating capacity and the airflow form is achieved, the temperature distribution uniformity and the human body somatosensory comfort degree are remarkably optimized, and the refrigerating control accuracy, the human body somatosensory comfort degree and the environment dynamic adaptability are comprehensively improved.

Description

TECHNICAL FIELD

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

[0002] As a composite household appliance integrating lighting and refrigeration functions, air conditioner lamps are widely used in offices, bedrooms, small conference rooms and other scenarios. The core requirement is to provide comfortable and precise refrigeration experience while meeting the lighting needs. However, the existing air conditioner lamp technology has the following key defects: First, the existing air conditioner lamp refrigeration module adopts fixed power output, and the air outlet mode and fan speed are preset to fixed gears, without dynamic adjustment based on the actual position and density of users. When the distribution of users is uneven or the density changes, the problem of discomfort for close users and insufficient refrigeration for distant users is likely to occur, and the comfort and refrigeration efficiency are difficult to balance.

[0003] Second, the existing air conditioner lamp anti-direct blow function relies on fixed fan blade angle presets, and cannot dynamically adjust the fan blade deflection angle and speed according to user movement, so the risk of direct blow is still high.

[0004] Third, the refrigeration output of the existing air conditioner lamp refrigeration module is independent of the fan speed and airflow pattern. When in high-intensity refrigeration state, insufficient airflow diffusion will cause local overcooling; when in low-intensity refrigeration state, excessive airflow speed will cause discomfort, resulting in poor overall comfort experience.

[0005] It can be seen that the existing technology needs to be improved and improved. SUMMARY

[0006] In order to overcome the shortcomings of the prior art, the purpose of the present application is to provide an air conditioner lamp control method, which solves the existing technical defects of fixed output, anti-direct blow rigidity and independent parameter control of the existing air conditioner lamp through user perception, dynamic calculation and collaborative control closed-loop logic, and realizes the comprehensive improvement of refrigeration precision, human comfort and environmental adaptability.

[0007] The first aspect of the present application provides a control method of an air conditioner lamp, the air conditioner lamp comprising a plurality of partitioned air outlets, a human perception mechanism for obtaining user perception information and an air outlet state detection mechanism for obtaining real-time working information are arranged at the partitioned air outlets; the control method comprises: obtaining user perception information, confirming user position information and area density information based on the user perception information; calculating an included angle between a guide vane in the partitioned air outlet and a user based on the user position information; pre-constructing a four-dimensional mapping table, the four-dimensional mapping table is associated with compressor frequency, fan speed, diffusion angle and wind speed attenuation curve; obtaining a preset target temperature and a real-time environment temperature, calculating and outputting refrigeration adjustment parameters based on the real-time environment temperature, the preset target temperature and the area density information by using a fuzzy PID algorithm; querying and obtaining air outlet adjustment parameters from the four-dimensional mapping table according to the refrigeration adjustment parameters and the area density information; adjusting the working state of the air conditioner lamp based on the refrigeration adjustment parameters and the air outlet adjustment parameters.

[0008] Optionally, in the first implementation manner of the first aspect of the present application, the human perception mechanism comprises a millimeter radar wave and an infrared thermal imager; the obtaining user perception information and confirming user position information and area density information based on the user perception information comprises: obtaining user perception information, the user perception information comprising echo information fed back by the millimeter radar wave and an infrared thermal image fed back by the infrared thermal imager; inputting the infrared thermal image into a pre-trained YOLOv8 lightweight model to output an initial total number of users and initial coordinates of each user; performing data verification on the initial total number of users and the initial coordinates based on the echo information to obtain a final total number of users and final user coordinates; performing density clustering calculation by using a DBSCAN clustering algorithm based on the final total number of users and the final user coordinates to obtain area density information, the area density information comprising a plurality of aggregation areas and area densities corresponding to the aggregation areas.

[0009] Optionally, in the second implementation manner of the first aspect of the present application, a brushless fan is arranged in the partitioned air outlet; the calculating an included angle between a guide vane in the partitioned air outlet and a user based on the user position information comprises: defining a direction vector of the guide vane in the air outlet; establishing a space coordinate system with the geometric center of the air conditioner lamp as the origin, and defining a user position vector according to the user position information; calculating the included angle between the direction vector and the user position vector by using the vector dot product formula according to the direction vector and the user position vector to determine the included angle between the guide vane in the partitioned air outlet and the user; when the included angle is ≤30°, controlling the guide vane to deflect upward by 15° to 20° and reducing the fan speed of the brushless fan.

[0010] Optionally, in a third implementation form of the first aspect of the present application, the pre-constructed four-dimensional mapping table, which is associated with the compressor frequency, the fan rotating speed, the diffusion angle and the wind speed attenuation curve, comprises: adopting a CFD simulation method to perform numerical simulation on airflow flow field patterns of the air conditioner under a plurality of groups of test conditions, the plurality of groups of test conditions including different compressor frequencies, different fan rotating speeds and different diffusion angles; obtaining output indexes under each group of test conditions, the output indexes including airflow coverage area, airflow diffusion path, wind speed attenuation data of a partitioned air outlet under a preset distance gradient and cold quantity uniformity; and constructing a four-dimensional mapping table based on the output indexes through a data fitting and interpolation algorithm, the four-dimensional mapping table taking the compressor frequency, the fan rotating speed and the diffusion angle as input dimensions and taking the wind speed attenuation curve as an output dimension.

[0011] Optionally, in a fourth implementation form of the first aspect of the present application, the obtaining of the preset target temperature and the real-time environment temperature, the calculation and output of the refrigeration adjustment parameter based on the real-time environment temperature, the preset target temperature and the area density information by using a fuzzy PID algorithm comprises: obtaining the preset target temperature and the real-time environment temperature, and calculating an absolute temperature difference between the preset target temperature and the real-time environment temperature; taking the absolute temperature difference as a deviation value and taking the area density information as a weight factor, the fuzzy PID algorithm is used to calculate and output the refrigeration adjustment parameter, the refrigeration adjustment parameter including the compressor frequency and the electronic expansion valve opening degree.

[0012] Optionally, in a fifth implementation form of the first aspect of the present application, the querying and obtaining of the air outlet adjustment parameter from the four-dimensional mapping table according to the refrigeration adjustment parameter and the area density information comprises: obtaining a preset refrigeration grade division rule, the division rule including a mapping relationship table of the compressor frequency and the refrigeration grade; determining a refrigeration grade corresponding to the compressor frequency according to the compressor frequency in the refrigeration adjustment parameter and the refrigeration grade division rule; and querying and obtaining the air outlet adjustment parameter from the four-dimensional mapping table based on the refrigeration grade and the area density information, the air outlet adjustment parameter including the fan rotating speed, the diffusion angle and an air outlet mode generated based on the wind speed attenuation curve.

[0013] Optionally, in a sixth implementation form of the first aspect of the present application, after adjusting the working state of the air conditioner lamp based on the refrigeration adjustment parameter and the air outlet adjustment parameter, the method further comprises: obtaining a preset target temperature and a real-time area temperature of each subzone, and calculating an area temperature difference between the preset target temperature and the real-time area temperature; when the area temperature difference > a preset temperature fluctuation threshold, increasing the compressor frequency and the fan speed, and reducing the diffusion angle; when the area temperature difference < a negative preset temperature fluctuation threshold, decreasing the compressor frequency and the fan speed, and increasing the diffusion angle; when an absolute value of the area temperature difference ≤ the preset temperature fluctuation threshold, maintaining the current refrigeration adjustment parameter and the air outlet adjustment parameter.

[0014] The second aspect of the present application provides a control device of an air conditioner lamp, comprising: an obtaining module, configured to obtain user perception information, and confirm user position information and area density information based on the user perception information; a calculating module, configured to calculate an included angle between a user and a guide vane in a subzone air outlet based on the user position information; a constructing module, configured to pre-construct a four-dimensional mapping table, the four-dimensional mapping table being associated with a compressor frequency, a fan speed, a diffusion angle and a wind speed attenuation curve; an outputting module, configured to obtain a preset target temperature and a real-time environment temperature, and calculate and output a refrigeration adjustment parameter based on the real-time environment temperature, the preset target temperature and the area density information by using a fuzzy PID algorithm; a querying module, configured to query and obtain an air outlet adjustment parameter from the four-dimensional mapping table according to the refrigeration adjustment parameter and the area density information; and an adjusting module, configured to adjust a working state of the air conditioner lamp based on the refrigeration adjustment parameter and the air outlet adjustment parameter.

[0015] The third aspect of the present application provides a control device of an air conditioner lamp, comprising: a memory and at least one processor, the memory storing instructions; and the at least one processor invoking the instructions in the memory to enable the control device of the air conditioner lamp to perform each step of the control method of the air conditioner lamp according to any one of the above aspects.

[0016] The fourth aspect of the present application provides a computer readable storage medium, the computer readable storage medium storing instructions, the instructions being executed by a processor to implement each step of the control method of the air conditioner lamp according to any one of the above aspects.

[0017] In the technical solution of the present application, the user position information and the area density information are acquired through the human perception mechanism; the refrigeration adjustment parameter is calculated by using the fuzzy PID algorithm based on the real-time environment temperature, the preset target temperature and the area density information; the air adjustment parameter is queried from the pre-constructed four-dimensional mapping table in combination with the area density information, and the included angle between the guide vane and the user is calculated based on the user position information; finally, the refrigeration and air outlet working states of the air conditioner lamp are cooperatively controlled; the method can dynamically adapt to the user distribution density, effectively avoids the problems of local overcooling or insufficient refrigeration capacity, and reduces the risk of direct air flow blowing by adjusting the air outlet parameter in real time; the coupling control of the refrigeration capacity and the air flow form is realized, the temperature distribution uniformity and the human body comfort are significantly optimized, and the refrigeration control accuracy, the human body comfort and the environmental dynamic adaptability are comprehensively improved. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 A logic flowchart of the control method of the air conditioner lamp provided for the embodiment of the present application is shown in the figure. Figure 2 A structure schematic diagram of the control device of the air conditioner lamp provided for the embodiment of the present application is shown in the figure. Figure 3 A structure schematic diagram of the control device of the air conditioner lamp provided for the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0019] The present application provides a kind of control method, device, equipment and storage medium of air conditioner lamp, in the present application, the terms "first" "second" "third" "fourth" etc. (if exist) in specification and claims and the above-mentioned drawings are used to distinguish similar objects, and not necessarily used to describe specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the term "includes" or "has" and any variation thereof is intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0020] The control method disclosed in the embodiment of the present application is applicable to air conditioner lamp, the air conditioner lamp adopts integrated modular design, as follows: The air conditioner lamp comprises a lighting module, a refrigeration module, an air outlet module, a fan mechanism, a control module and a sensor group, each functional module is cooperatively controlled through a high-speed data bus, specifically, the lighting module adopts an LED light source group, a PWM dimming signal is directly output by the control module to control the brightness and color temperature; the refrigeration module is composed of a miniature compressor, a condenser, an evaporator and an electronic expansion valve, the control module adjusts the rotating speed of the miniature compressor and the opening degree of the electronic expansion valve to realize accurate control of the refrigerating capacity; the air outlet module comprises a brushless fan and an annular partitioned air outlet, the control module adjusts the rotating speed of the brushless fan to differentially control the air speeds of three independent partitions of the annular partitioned air outlet; the fan mechanism is provided with a 360-degree rotating air guide vane and a pitch adjusting motor, the control module can drive a horizontal deflection motor (0-360 degrees) and the pitch adjusting motor (-15 degrees to 60 degrees) to realize closed-loop control of the air guide angle; the control module integrates an MCU and an algorithm chip, and serves as a system core processing unit to receive data collected by the sensor group; the sensor group is installed at the bottom of the machine body and the air outlet area, and comprises a millimeter radar wave, an infrared thermal imager, an air outlet temperature sensor and an air speed sensor, which collect indoor environmental parameters and equipment operating state data in real time and feed back to the control module, the control module outputs refrigeration parameters, fan posture parameters and air outlet parameters according to a preset algorithm, and drives the refrigeration module, the fan mechanism and the air outlet module to perform cooperative actions, respectively, and the action feedback data is returned to the control module through a real-time bus to form a closed-loop control loop.

[0021] The air conditioner lamp adopts a ceiling type design, the annular air outlet is circumferentially divided into three independent control partitions, each corresponding to a different orientation area in the room, and each partition is provided with an independent air guide vane and an air speed adjusting unit; the fan mechanism adopts a double-layer air guide vane structure, the upper air guide vane realizes 0-360 degree horizontal deflection control, and the lower air guide vane realizes -15-60 degree pitch angle adjustment, wherein the downward deflection angle is positive.

[0022] For the convenience of understanding, the specific process of the embodiment of the present application is described below, please refer to Figure 1 One embodiment of the control method of the air conditioner lamp in the embodiment of the present application comprises: 101, obtaining user perception information, confirming user position information and area density information based on the user perception information; In this embodiment, the user position information is used to locate the specific position of each user in the indoor space, specifically, a three-dimensional coordinate system is established with the geometric center of the air conditioner lamp as the origin (the X-Y axis is parallel to the ground, and the Z axis is perpendicular to the ground), and the three-dimensional coordinates of each user are output , wherein the Z-axis coordinate Fixed as 1.6m, corresponding to the human sitting posture shoulder height; the area density information is used to determine the user gathering state and gathering degree, specifically, the total number of users N is counted; based on the user coordinates, the DBSCAN clustering algorithm is used to perform density clustering analysis to determine the number of gathering areas; for each gathering area, the area area is calculated And the number of users in the area , through the formula , Quantify the gathering degree of the area density; Through the dual-sensor fusion technology of millimeter radar wave and infrared thermal imager to replace the single sensor scheme, the user position recognition accuracy can be effectively improved, the positioning error caused by relying on experience judgment can be avoided, and the robustness of the control algorithm is ensured.

[0023] 102, based on the user position information, the included angle between the guide vane in the partitioned air outlet and the user is calculated; In this embodiment, when the guide vane is in a horizontal state, its pitch angle The direction vector is defined as (0, 0, -1); when the pitch angle is adjusted to The direction vector is dynamically updated to The user position vector is represented based on the three-dimensional coordinate system established in step 101 , and the direction vector of the guide vane belongs to the same coordinate system, ensuring that the calculation dimension is uniform; each partitioned air outlet of the air conditioner lamp independently performs included angle calculation, that is, only the user coordinates in its corresponding area are subjected to vector operation, and precise anti-direct blowing control is realized through differentiated angle regulation of different partitions.

[0024] 103, pre-construct a four-dimensional mapping table, which associates compressor frequency, fan speed, diffusion angle and wind speed decay curve; In this embodiment, by pre-establishing the quantitative correlation table of refrigeration parameters (compressor frequency), air outlet parameters (fan speed, diffusion angle) and comfort indicators (wind speed decay curve), subsequent control does not need real-time complex calculation, only table lookup is needed to quickly match parameters, improve response speed, and solve the coordination problem of independent control of refrigeration and air outlet in the prior art.

[0025] 104, obtain the preset target temperature and real-time environment temperature, based on the real-time environment temperature, the preset target temperature and the area density information, use the fuzzy PID algorithm to calculate and output the refrigeration adjustment parameter; In the embodiment, the cooling adjustment parameter is dynamically calculated by a fuzzy PID algorithm in combination with three dimensions of user comfort demand (target temperature), current environment state (real-time environment temperature), and user distribution demand (area density information), to ensure that the cooling capacity not only meets the cooling demand, but also adapts to the user aggregation degree, solving the problem of fixed cooling capacity in the prior art. The target temperature can be customized by the user, and the custom range is 18-28℃, with a default of 25℃. The real-time environment temperature is the average temperature of three points of the partitioned air outlet, the user area, and the area far from the user.

[0026] 105. Query and obtain an air outlet adjustment parameter from the four-dimensional mapping table according to the cooling adjustment parameter and the area density information. In the embodiment, the corresponding air outlet adjustment parameter is matched from the pre-constructed four-dimensional mapping table with the cooling adjustment parameter and the area density information as dual indexes, to ensure that the air outlet effect is adapted to the cooling capacity and user distribution. The query logic is preferential to the cooling level and then to the area density information, to achieve the purpose of determining the cooling capacity intensity first and then adapting the user distribution.

[0027] 106. Adjust the working state of the air conditioner lamp based on the cooling adjustment parameter and the air outlet adjustment parameter. In the embodiment, the cooling adjustment parameter and the air outlet adjustment parameter are issued to the corresponding functional modules to drive the cooling module, the air outlet module, and the fan mechanism to act synchronously, to realize the collaborative control of cooling, air outlet, and anti-direct blowing, and to complete the conversion from data decision to actual effect. The cooling module optimizes the cooling effect based on the cooling adjustment parameter to ensure rapid response of the cooling capacity, and the air outlet module and the fan mechanism optimize the air outlet effect based on the air outlet adjustment parameter to ensure that the air outlet effect is consistent with the decision target, avoiding invalid energy consumption. For example, if there is no user partition, the wind speed and the cooling capacity can be reduced to reduce the energy consumption of the whole area.

[0028] The application discloses a control method of an air conditioner lamp. User position information and area density information are obtained by a human body sensing mechanism. Cooling adjustment parameters are calculated by a fuzzy PID algorithm based on real-time environment temperature, a preset target temperature, and area density information. Air outlet adjustment parameters are queried from a pre-constructed four-dimensional mapping table in combination with area density information, and an included angle between a guide vane and a user is calculated based on user position information. Finally, the cooling and air outlet working states of the air conditioner lamp are collaboratively controlled. The method can dynamically adapt to user distribution density, effectively avoiding the problems of local overcooling or insufficient cooling capacity. Air outlet parameters are adjusted in real time to reduce the risk of direct air flow blowing. Coupling control of cooling capacity and air flow form is realized, temperature distribution uniformity and human body thermal comfort are significantly optimized, and the cooling control accuracy, human body thermal comfort, and environmental dynamic adaptability are comprehensively improved.

[0029] In the embodiment of the present application, the user perception information is obtained, the user position information and the area density information are confirmed based on the user perception information, and the method comprises: 201. Obtain user perception information, wherein the user perception information comprises echo information fed back by a millimeter wave radar and an infrared thermal imaging image fed back by an infrared thermal imager; In the embodiment, the original perception information is collected by combining the millimeter wave radar and the infrared thermal imager, the technical characteristics of the two sensors are complementary, the original data covers two dimensions of position distance and human body recognition, and the limitations of a single sensor are avoided; the millimeter wave radar echo information contains three elements of distance, angle and speed, which can measure the straight-line distance between the user and the air conditioner lamp, and can capture the moving speed of the user; the infrared thermal imaging image can clearly present the human body contour, and avoid misidentification of non-human heat sources. 202. Input the infrared thermal imaging image into a pre-trained YOLOv8 lightweight model to output an initial total number of users and initial coordinates of each user; In the embodiment, the pre-trained YOLOv8 lightweight target detection model is used to detect human targets in the infrared thermal imaging image to output an initial total number of users and initial coordinates of each user, the initial total number of users is the number of human targets in the image, and the initial coordinates are the positions of the centers of each human target in the image coordinate system (pixel coordinates );Through the camera intrinsic parameters (focal length, principal point coordinates) and the installation height of the air conditioner lamp, the image coordinate system is converted into the space coordinate system established in step 101 to realize the mapping of pixel coordinates to physical coordinates; The YOLOv8 lightweight model uses MobileNetv2 as the backbone network, and the model parameter quantity is compressed from 25M of the original YOLOv8 to less than 5M to adapt to the computing power limit of the air conditioner lamp control module; in addition, a training data set is constructed based on 100,000 infrared thermal imaging images containing three typical scenes of office, bedroom and conference room, and the YOLOv8 lightweight model is trained by transfer learning; the trained model is deployed in the control system of the air conditioner lamp to realize real-time output of the initial detection result.

[0030] 203. Data verification is performed on the initial total number of users and the initial coordinates based on the echo information to obtain a final total number of users and final user coordinates; In the embodiment, the initial user total number and the initial coordinates are screened and corrected based on the echo information of the millimeter wave radar as a verification standard, non-human body misrecognition and coordinate deviation are eliminated, and the final available user information is obtained. Specifically, for total number verification, the number of suspected human body targets in the radar echo information is compared with the initial user total number. If the difference is less than or equal to 1, the total number verification is passed. If the difference is greater than 1, the number of suspected human body targets in the echo information is used as the standard. For coordinate verification, for each initial coordinate, if there is a target with a distance deviation of less than or equal to 0.5 m and an angle deviation of less than or equal to 5° in the radar echo information, the initial coordinate is corrected to the radar measurement coordinate. If not, it is determined as misrecognition and the coordinate is eliminated. Through double verification, the final user total number error is less than or equal to 1 person, and the final coordinate error is less than or equal to 0.3 m, which improves the data accuracy compared with the single model output.

[0031] 204、Based on the final user total number and the final user coordinates, a DBSCAN clustering algorithm is used to perform density clustering calculation to obtain regional density information, the regional density information including a plurality of aggregation regions and regional densities corresponding to the aggregation regions; In the embodiment, the final user coordinates are grouped by the DBSCAN clustering algorithm, the scattered user coordinates are divided into a plurality of aggregation regions, and the density of each aggregation region is calculated to determine where the users are aggregated and how the aggregation degree is, which provides density basis for subsequent differentiated refrigeration and air outlet. The clustering radius of the DBSCAN algorithm is set to , and the minimum sample number is set to , that is, less than 2 people are regarded as scattered users, corresponding to a low-density area. For each cluster, that is, the aggregation region, the region boundary is fitted by a convex hull algorithm, and the region area is calculated , combined with the number of users in the cluster , to obtain the regional density . The regional density output after clustering is divided into three levels: high-density area , medium-density area , and low-density area . Each regional density level corresponds to different refrigeration and air outlet strategies.

[0032] In the embodiment of the application, a brushless fan is arranged in the partitioned air outlet. Based on the user position information, the included angle between the air guide blade in the partitioned air outlet and the user is calculated, comprising: 301、Defining the direction vector of the air guide blade in the air outlet; In the embodiment, the rotation center of the air guide blade is the starting point of the vector, and the air outlet direction is the direction of the vector. The pitch angle is the included angle between the vector and the vertical direction (negative direction of Z axis): When the air guide blade is horizontal, the vector is ; When the air deflector is deflected downward by 30°, the vector is ; When the air deflector is deflected upward by 15°, the vector is ; Horizontal angle The X component of the vector is 0, only the Y and Z components are retained, so as to avoid the interference of the horizontal angle on the calculation of the included angle in the vertical plane, and to reduce the calculation complexity; by quantifying the air deflector posture as a vector, the calculation deviation caused by the empirical judgment of the air deflection direction is avoided.

[0033] 302. Establish a space coordinate system with the geometric center of the air conditioner lamp as the origin, and define a user position vector according to user position information; In this embodiment, the origin of the established space coordinate is the geometric center of the air conditioner lamp, and the front of the air conditioner lamp is taken as the reference, with the horizontal right as the X axis, the horizontal forward as the Y axis, and the vertical upward as the Z axis; with the origin as the starting point and the user's key position of body sense as the ending point, the vector expression is wherein: represents the coordinates of the user in the X-Y plane, measured by the millimeter wave radar; , is a fixed value corresponding to the shoulder height of the sitting human body, so as to ensure that the calculation of the included angle is for the area most susceptible to direct blowing; by vector operation in the same coordinate system, the dimension confusion is avoided, so that the calculation error of the included angle is ≤0.5°; the air deflector vectors of each partition outlet are based on the same coordinate system, so that the included angles of different partitions and the same user can be compared, and multi-partition collaborative direct blowing prevention is realized.

[0034] 303. According to the direction vector and the user position vector, the included angle between the direction vector and the user position vector is calculated by using the vector dot product formula, so as to determine the included angle between the air deflector in the partition outlet and the user; In this embodiment, the included angle between the air deflector direction vector (a) and the user position vector (b) is calculated by the vector dot product formula The relative relationship between the air deflection direction and the user position is quantified as an angle value, which provides a clear numerical basis for subsequent direct blowing judgment, avoids the problem of subjective judgment of direct blowing risk, and improves the accuracy of direct blowing judgment; the vector dot product formula is: wherein a is the air deflector direction vector, b is the user position vector, and the calculation result .

[0035] 304. When the included angle is ≤30°, the air deflector is controlled to be deflected upward by 15° to 20°, and the fan speed of the brushless fan is reduced; In this embodiment, when the calculated included angle At this time, it is determined that it is a direct blowing risk area, at this time, the air outlet direction needs to be changed, and the included angle is increased Avoid direct blowing from the direction; at the same time, reduce the air outlet intensity, so that even if a small amount of airflow approaches the human body, it will not cause discomfort, thereby relieving direct blowing from the intensity, and double protection is provided for the direct blowing effect; for the deflection angle, according to the initial included angle Dynamic adjustment, The smaller the initial included angle is, the greater the deflection amplitude is, for example 20° is deflected, 15° is deflected, and it is ensured that the air outlet intensity after adjustment For a brushless fan, the fan speed is reduced by 20%-30%, and the reduced speed is not less than 300 rpm, so as to avoid that the speed is too low to cause no wind feeling and affect refrigeration coverage, for example, if the initial speed is 600 rpm, the reduced speed is 420-480 rpm; each partition air outlet only adjusts the parameters of the included angle ≤30°, and other partitions maintain normal parameters, so as to avoid that one partition directly blows, and the whole machine is adjusted; by adjusting only the parameters of the risk partition, the strategy of normal air outlet of the non-risk area is adopted, so that the refrigeration coverage range remains unchanged, and the refrigeration effect is not sacrificed for direct blowing prevention.

[0036] In the embodiment of the application, the pre-constructed four-dimensional mapping table is associated with a compressor frequency, a fan speed, a diffusion angle and a wind speed attenuation curve, and includes: 401. A CFD simulation method is used to numerically simulate the airflow flow field form of the air conditioner lamp under multiple test conditions, and the multiple test conditions include different compressor frequencies, different fan speeds and different diffusion angles; In this embodiment, a three-dimensional simulation model is constructed based on the actual geometric parameters of the air conditioner lamp, specifically including a refrigeration module and an air outlet module; numerical simulation uses A two-equation turbulence model is used to describe the turbulence characteristics of indoor airflow, and a Lee model is used to solve the refrigerant phase change process; the boundary conditions are set as follows: the indoor environment temperature is 25 DEG C, and the atmospheric pressure is 101.3 kPa; the calculation domain is discretized by using unstructured grids, the grid size in the air outlet and the air guide blade area is increased, the grid size in the remaining area is controlled to be 10-20 mm, and the total grid number is not less than 1 million, so as to ensure the simulation accuracy of the flow field details; The test parameters are set as follows: the compressor frequency test range is 30-120 Hz, the step is 10 Hz, and there are 10 groups of working conditions; the fan speed test range is 300-1200 rpm, the step is 100 rpm, and there are 10 groups of working conditions; the diffusion angle test range is 30-90 DEG, the step is 10 DEG, and there are 7 groups of working conditions; 10*10*7=700 independent test working conditions are formed by three-parameter orthogonal combination, and the simulation time of each working condition is greater than or equal to 30 seconds, so as to ensure that the airflow flow field reaches a stable state.

[0037] 402. Obtain the output indicators under each set of test conditions. The output indicators include airflow coverage area, airflow diffusion path, wind speed attenuation data of the zoned air outlet under a preset distance gradient, and cooling uniformity. In this embodiment, the airflow coverage area is the area at a height of 1.5m below the air outlet where the wind speed is ≥0.1m / s, statistically determined using CFD area cloud plots; the airflow diffusion path is the trajectory of the airflow from the air outlet to the user area, extracted using CFD streamline plots, used to determine whether the airflow can cover the target area; the wind speed attenuation data is the wind speed value extracted directly below the air outlet according to distance gradients (0.5m, 1m, 2m, 3m). For example, under a certain set of test conditions, when the fan speed is 1000rpm, the wind speed is 0.8m / s at 0.5m of the air outlet, 0.6m / s at 1m, 0.3m / s at 2m, and 0.1m / s at 3m; the cooling uniformity is the temperature standard deviation within the user area, i.e., within the airflow coverage area. The smaller the temperature standard deviation, the more uniform the cooling.

[0038] 403. Based on the output indicators, a four-dimensional mapping table is constructed through data fitting and interpolation algorithms. The four-dimensional mapping table takes compressor frequency, fan speed, and diffusion angle as input dimensions and wind speed attenuation curve as output dimension. In this embodiment, the wind speed decay data is transformed into a mathematical curve by using exponential function fitting, resulting in a wind speed decay curve. Then, the parameter gaps in the test condition intervals are filled by cubic spline interpolation algorithm, ultimately forming a four-dimensional mapping table between the input and output dimensions. This provides a query-based parameter matching basis for subsequent control, shortens the response delay, and ensures real-time adaptation to dynamic changes in the user's situation.

[0039] In this embodiment of the invention, the step of obtaining the preset target temperature and the real-time ambient temperature, and calculating and outputting cooling adjustment parameters using a fuzzy PID algorithm based on the real-time ambient temperature, the preset target temperature, and the area density information includes: 501. Obtain the preset target temperature and the real-time ambient temperature, and calculate the absolute temperature difference between the preset target temperature and the real-time ambient temperature; In this embodiment, the user's desired comfort temperature (target temperature) and the current indoor temperature (real-time ambient temperature) are obtained, and the absolute temperature difference between the two is calculated. This is to quantify the gap between the current environment and comfort goals. The larger the value, the stronger the cooling demand; the target temperature can be customized by the user via remote control or APP, with a range of 18-28℃ and a default of 25℃; the real-time ambient temperature is collected by three temperature sensors, located at the zone air outlet, the center of the room 1, and the user area, respectively, and the average value of the three temperature sensors is taken as the final real-time ambient temperature. , avoid misjudgment caused by single point temperature fluctuation.

[0040] 502, the absolute temperature difference value is taken as a deviation value, the area density information is taken as a weight factor, a fuzzy PID algorithm is used to calculate and output a refrigeration adjustment parameter, and the refrigeration adjustment parameter includes a compressor frequency and an electronic expansion valve opening degree; In the embodiment, the refrigeration demand intensity (ΔT) is fused with the user distribution characteristics (area density weight), the compressor frequency and the electronic expansion valve opening degree are dynamically calculated through the fuzzy PID algorithm, the two-dimensional adaptation of the refrigeration quantity to the cooling demand and the user aggregation degree is realized, the technical limitation that the traditional PID controller only performs feedback regulation according to the temperature difference and ignores the spatial distribution difference of users is solved, and the human body comfort is improved; the area density is directly mapped to the weight factor K, and the specific rule is that the high-density area corresponds to K=1.2, the refrigeration quantity is increased by 20% than the standard refrigeration quantity; the medium-density area corresponds to K=1.0, and the standard refrigeration quantity is outputted; the low-density area corresponds to K=0.8, and the refrigeration quantity is reduced by 20% than the standard refrigeration quantity; and the user-free area corresponds to K=0.5, and the basic refrigeration mode is used to reduce invalid energy consumption; For the fuzzy PID algorithm: first, fuzzy processing is performed, the deviation and the change rate of the deviation (unit: ) are divided into five fuzzy subsets {NB (negative big), NS (negative small), ZO (zero), PS (positive small), PB (positive big)}, for example is ZO, is PS, and PB is PB; then a fuzzy rule base containing 25 control rules (5*5 dimensions) is constructed, and then the gravity method is used to convert the fuzzy reasoning result into the correction amount of the PID parameters (Kp, Ki, Kd); based on the corrected Kp, Ki, Kd, the compressor frequency is calculated through the formula , wherein the reference frequency =30Hz; finally, the electronic expansion valve is cooperatively controlled, and the opening degree of the electronic expansion valve is linearly and positively correlated with the compressor frequency , for example when Step.

[0041] In the embodiment of the application, the outflow adjustment parameter is queried and acquired from the four-dimensional mapping table according to the refrigeration adjustment parameter and the area density information, and the outflow adjustment parameter includes: 601, a preset refrigeration grade division rule is acquired, and the division rule includes a mapping relationship table of the compressor frequency and the refrigeration grade; In the embodiment, based on the refrigeration capacity range (2000-5000 BTU / h) of the air conditioner lamp, the compressor frequency is divided into three levels of low, medium and high; the low-level refrigeration corresponds to the compressor frequency range of 30-60 Hz, the refrigeration capacity range is 2000-3000 BTU / h, and it is suitable for the scene that the environment temperature is ≤27℃ or the user is in the low-density area; the medium-level refrigeration corresponds to the compressor frequency range of 60-90 Hz, the refrigeration capacity range is 3000-4000 BTU / h, and it is suitable for the scene that the environment temperature is between 27℃ and 30℃ or the user is in the medium-density area; the high-level refrigeration corresponds to the compressor frequency range of 90-120 Hz, the refrigeration capacity range is 4000-5000 BTU / h, and it is suitable for the scene that the environment temperature is ≥30℃ or the user is in the high-density area; when the compressor frequency is at the level boundary value, such as 60 Hz and 90 Hz, the higher level is matched by default, for example, the medium level is matched when the frequency is 60 Hz, and the high level is matched when the frequency is 90 Hz, so as to ensure sufficient refrigeration capacity and avoid insufficient refrigeration at the boundary frequency.

[0042] 602、According to the compressor frequency in the refrigeration adjustment parameter and the refrigeration level division rule, the refrigeration level corresponding to the compressor frequency is determined; In the embodiment, the calculated compressor frequency is taken as input, the current refrigeration level is determined by referring to the refrigeration level division rule of step 601, the refrigeration capacity intensity is converted into a level identifier, a foundation is laid for subsequent query of the air outlet parameter by taking the refrigeration level and the area density information as indexes, it is ensured that the air outlet parameter is always matched with the current refrigeration capacity, and the lack of cooperation of the air outlet still being the low level while the refrigeration has been upgraded to the high level is avoided.

[0043] 603、Based on the refrigeration level and the area density information, the air outlet adjustment parameter is queried and obtained from the four-dimensional mapping table, the air outlet adjustment parameter including the fan speed, the diffusion angle and the air outlet mode generated based on the air speed attenuation curve; In the embodiment, the four-dimensional mapping table is queried by taking the refrigeration level as the first index and the area density information as the second index, the air flow intensity benchmark is determined according to the refrigeration level, the high level is matched with strong air flow output, and the low level is matched with weak air flow output, and the air outlet strategy is dynamically adapted in combination with the area density characteristics, the high-density area is preferentially covered in a wide range, and the low-density area focuses on the control of direct blowing; in the query process, if there are multiple parameter combinations matching the current refrigeration level and the area density, the parameter combination with better cold capacity uniformity is preferentially selected through secondary screening of the cold capacity uniformity index, so as to guarantee the spatial consistency of the refrigeration effect. Based on the fan speed, the diffusion angle and the air speed attenuation curve obtained by the query, the air outlet mode is further defined by the characteristic parameters (1m air speed , 2m air speed ) of the air speed attenuation curve: when the air speed attenuation curve is ≤0.5m / s and ≥0.2m / s, trigger the fixed-point diffusion mode, adapt the low / medium cooling level and the low / medium density area, and the air guide blade is fixedly pointed to the user gathering area and maintains the horizontal angle lock; when >0.5m / s and ≥0.3m / s, switch to the left-right swing mode, adapt the high cooling level and the high density area, and the air guide blade is circularly deflected at 0-360° horizontal angle, and the deflection speed is dynamically adjusted according to the cooling level (high level , medium level ); when ≤0.4m / s and ≥0.1m / s, enable the fixed-point diffusion mode and cooperate with the micro swing mode, adapt the low cooling level and the low density area, and the air guide blade performs ±5° small amplitude swing in the gathering area range, to realize the cooperative optimization of the coverage range and the direct blowing prevention effect.

[0044] In the embodiment of the application, after adjusting the working state of the air conditioner lamp based on the refrigeration adjustment parameter and the air outlet adjustment parameter, the following further includes: 701, obtaining a preset target temperature and a real-time area temperature of each subzone, and calculating an area temperature difference between the preset target temperature and the real-time area temperature; In the embodiment, each annular subzone air outlet corresponds to one independent temperature sensor, which directly reflects the actual temperature around the user in the subzone, that is, the real-time area temperature is fed back; the area temperature difference is independently calculated for each subzone, and the formula is The difference value can be positive or negative, a positive value indicates that the subzone temperature is too high and the refrigeration is insufficient, and a negative value indicates that the subzone temperature is too low and the local cooling is excessive.

[0045] 702, when the area temperature difference is greater than a preset temperature fluctuation threshold, the compressor frequency and the fan speed are increased, and the diffusion angle is reduced; In the embodiment, the preset temperature fluctuation threshold is ±0.5°C by default, when , it is determined that the refrigeration is insufficient, and adjustment is triggered; the compressor frequency is increased by 5-10 Hz each time, and the maximum is not more than 120 Hz, the fan speed is synchronously increased by 100-150 rpm, which is positively correlated with the compressor frequency increase amplitude, to ensure that the cold quantity diffusion matches the refrigeration quantity, the diffusion angle is reduced by 5-10°, to concentrate the cold quantity to cover the subzone with a temperature that is too high, and avoid the cold quantity from being dispersed to the area without users; compared with the single frequency increase for refrigeration compensation, the refrigeration compensation efficiency is obviously improved by the three-parameter cooperative adjustment, and the refrigeration compensation effect is better.

[0046] 703, when the area temperature difference is less than a negative preset temperature fluctuation threshold, the compressor frequency and the fan speed are reduced, and the diffusion angle is increased; In this embodiment, when the local supercooling is determined, the adjustment is triggered; the compressor frequency is reduced by 5-10 Hz each time, and the minimum is not less than 30 Hz, and the fan speed is synchronously reduced by 100-150 rpm, which is matched with the frequency reduction amplitude, so as to avoid the discomfort caused by the high wind speed and the low refrigerating capacity, and the diffusion angle is increased by 10-15° to disperse the cold capacity to a larger range and reduce the cold capacity concentration of the target partition; it should be noted that the diffusion angle is adjusted only for the air outlet corresponding to the supercooling partition, and the original angle is maintained for other partitions, so as to avoid the overall refrigeration deficiency caused by the expansion of the angle of the whole machine due to the supercooling of a partition.

[0047] 704、when the absolute value of the area temperature difference is less than or equal to the preset temperature fluctuation threshold, the current refrigeration adjustment parameter and the air outlet adjustment parameter are maintained; In this embodiment, when the partition temperature difference is within the comfortable range of ±0.5℃, the existing parameters are maintained, that is, the compressor frequency, the fan speed and the diffusion angle are maintained at the current values, the control module suspends the adjustment instruction output, the temperature fluctuation and the hardware loss caused by frequent adjustment are avoided, the refrigeration effect is stable, and the energy consumption is reduced.

[0048] The control method of the air conditioner lamp in the embodiment of the application is described above, and the control device of the air conditioner lamp in the embodiment of the application is described below. Please refer to Figure 2 The control device of the air conditioner lamp in the embodiment of the application includes one embodiment: The acquisition module 801 is configured to acquire user perception information, confirm user position information and area density information based on the user perception information; The calculation module 802 is configured to calculate the included angle between the user and the air guide blade in the partition air outlet based on the user position information; The construction module 803 is configured to pre-construct a four-dimensional mapping table, and the four-dimensional mapping table is associated with the compressor frequency, the fan speed, the diffusion angle and the wind speed attenuation curve; The output module 804 is configured to acquire a preset target temperature and a real-time environment temperature, calculate and output a refrigeration adjustment parameter based on the real-time environment temperature, the preset target temperature and the area density information by using a fuzzy PID algorithm; The query module 805 is configured to query and acquire an air outlet adjustment parameter from the four-dimensional mapping table according to the refrigeration adjustment parameter and the area density information; The adjustment module 806 is configured to adjust the working state of the air conditioner lamp based on the refrigeration adjustment parameter and the air outlet adjustment parameter.

[0049] Based on the same idea as the method in the above embodiment, the device provided by the application can realize the method of the above embodiment.

[0050] The above Figure 2The control device of the air conditioner lamp in the embodiment of the present application is described in detail from the perspective of the modular functional entity. The control device of the air conditioner lamp in the embodiment of the present application is described in detail from the perspective of hardware processing.

[0051] Figure 3 The control device of the air conditioner lamp provided in the embodiment of the present application is shown in Fig. 9. The control device 900 of the air conditioner lamp can be different in configuration or performance, and can include one or more processors (central processing units, CPU) 910 (for example, one or more processors) and a memory 920, and one or more storage media 930 (for example, one or more mass storage devices) storing application programs 933 or data 932. The memory 920 and the storage media 930 can be temporary storage or persistent storage. The programs stored in the storage media 930 can include one or more modules (not shown in the figure), and each module can include a series of instruction operations in the control device 900 of the air conditioner lamp. Further, the processor 910 can be configured to communicate with the storage media 930 and execute the series of instruction operations in the storage media 930 on the control device 900 of the air conditioner lamp, so as to implement the steps of the control method of the air conditioner lamp provided in the above-mentioned method embodiments.

[0052] The control device 900 of the air conditioner lamp can further include one or more power supplies 940, one or more wired or wireless network interfaces 950, one or more input / output interfaces 960, and / or one or more operating systems 931, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art can understand that the control device of the air conditioner lamp is not limited to the structure shown in the figure, and can include more or fewer components than those shown in the figure, or combine certain components, or arrange different components. Figure 3 The control device of the air conditioner lamp shown in the figure is not limited to the control device of the air conditioner lamp, and can include more or fewer components than those shown in the figure, or combine certain components, or arrange different components.

[0053] The present application also provides a computer readable storage medium, which can be a non-volatile computer readable storage medium or a volatile computer readable storage medium. The computer readable storage medium stores instructions, and when the instructions are run on a computer, the computer executes the steps of the control method of the air conditioner lamp.

[0054] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-mentioned system or device, unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0055] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0056] Finally, it should be noted that: the above only for the preferred examples of the present application, and not for limiting the present application, although the present application is described in detail with reference to the foregoing examples, for those skilled in the art, it still can be modified to the technical solutions recorded in the foregoing embodiments, or equivalent replacement of some technical features. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling an air conditioner light, characterized in that, The air conditioner light includes multiple zoned air outlets, each zoned air outlet being equipped with a human body sensing mechanism for acquiring user perception information and an air outlet status detection mechanism for acquiring real-time operating information; the control method includes: Acquire user perception information, and confirm user location information and area density information based on the user perception information; Based on the user's location information, calculate the angle between the air guide vane in the air outlet of the zone and the user; A pre-constructed four-dimensional mapping table is used, which is associated with compressor frequency, fan speed, diffusion angle and wind speed attenuation curve; The preset target temperature and real-time ambient temperature are obtained. Based on the real-time ambient temperature, the preset target temperature and the density information of the area, the fuzzy PID algorithm is used to calculate and output the cooling adjustment parameters. Based on the cooling adjustment parameters and the area density information, the air outlet adjustment parameters are queried and obtained from the four-dimensional mapping table; Based on the cooling adjustment parameters and the air outlet adjustment parameters, adjust the working status of the air conditioner light.

2. The air conditioner light control method according to claim 1, characterized in that, The human body sensing mechanism includes a millimeter-wave radar and an infrared thermal imager; the acquisition of user perception information, and the confirmation of user location information and area density information based on the user perception information, includes: Acquire user perception information, which includes echo information fed back by millimeter radar waves and infrared thermal imaging images fed back by infrared thermal imagers. The infrared thermal imaging image is input into a pre-trained YOLOv8 lightweight model to output the initial total number of users and the initial coordinates of each user; Based on the echo information, the initial total number of users and the initial coordinates are verified to obtain the final total number of users and the final user coordinates. Based on the total number of end users and the coordinates of the end users, the DBSCAN clustering algorithm is used to perform density clustering calculation to obtain regional density information, which includes multiple clustered regions and the regional density corresponding to the clustered regions.

3. The air conditioner light control method according to claim 1, characterized in that, A brushless fan is installed inside the partition air outlet; the calculation of the angle between the air guide vanes inside the partition air outlet and the user based on the user's location information includes: Define the direction vector of the air guide vanes inside the air outlet of the wind zone; A spatial coordinate system is established with the geometric center of the air conditioner light as the origin, and the user position vector is defined based on the user's position information. Based on the direction vector and the user position vector, the angle between the direction vector and the user position vector is calculated using the vector dot product formula to determine the angle between the air guide vane and the user in the partition air outlet. When the included angle is ≤30°, the guide vane is controlled to deflect upward by 15° to 20°, and the fan speed of the brushless fan is reduced.

4. The air conditioner light control method according to claim 1, characterized in that, The pre-built four-dimensional mapping table, which associates compressor frequency, fan speed, diffusion angle, and wind speed attenuation curve, includes: The CFD simulation method was used to numerically simulate the airflow field morphology of the air conditioner lamp under multiple test conditions, including different compressor frequencies, different fan speeds, and different diffusion angles. Obtain the output indicators under each set of test conditions. The output indicators include airflow coverage area, airflow diffusion path, wind speed attenuation data of zoned air outlets under a preset distance gradient, and cooling uniformity. Based on the output indicators, a four-dimensional mapping table is constructed through data fitting and interpolation algorithms. The four-dimensional mapping table uses compressor frequency, fan speed, and diffusion angle as input dimensions and wind speed attenuation curve as output dimension.

5. The air conditioner light control method according to claim 1, characterized in that, The process of obtaining the preset target temperature and real-time ambient temperature, and calculating and outputting cooling adjustment parameters using a fuzzy PID algorithm based on the real-time ambient temperature, the preset target temperature, and the area density information, includes: Obtain the preset target temperature and the real-time ambient temperature, and calculate the absolute temperature difference between the preset target temperature and the real-time ambient temperature; Using the absolute temperature difference as the deviation value and the regional density information as the weighting factor, a fuzzy PID algorithm is used to calculate and output the refrigeration adjustment parameters, which include the compressor frequency and the opening degree of the electronic expansion valve.

6. The air conditioner light control method according to claim 5, characterized in that, The step of querying and obtaining the air outlet adjustment parameters from the four-dimensional mapping table based on the cooling adjustment parameters and the area density information includes: Obtain a preset refrigeration level classification rule, which includes a mapping table between compressor frequency and refrigeration level; Based on the compressor frequency in the refrigeration adjustment parameters and the refrigeration level classification rules, determine the refrigeration level corresponding to the compressor frequency; Based on the cooling level and the area density information, the air outlet adjustment parameters are queried and obtained from the four-dimensional mapping table. The air outlet adjustment parameters include the fan speed, diffusion angle, and air outlet mode generated based on the wind speed attenuation curve.

7. The air conditioner light control method according to claim 1, characterized in that, After adjusting the working state of the air conditioner light based on the cooling adjustment parameters and the air outlet adjustment parameters, the method further includes: Obtain the preset target temperature and the real-time zone temperature of each zone, and calculate the zone temperature difference between the preset target temperature and the real-time zone temperature. When the temperature difference in the area exceeds the preset temperature fluctuation threshold, the compressor frequency and fan speed are increased, and the diffusion angle is reduced. When the temperature difference in the region is less than the negative preset temperature fluctuation threshold, the compressor frequency and fan speed are reduced, and the diffusion angle is increased. When the absolute value of the temperature difference in the area is less than or equal to the preset temperature fluctuation threshold, the current cooling adjustment parameters and air outlet adjustment parameters are maintained.

8. A control device for an air conditioner light, characterized in that, include: The acquisition module is used to acquire user perception information and confirm user location information and area density information based on the user perception information; The calculation module is used to calculate the angle between the air guide vane and the user in the air outlet of the partition based on the user's location information. The construction module is used to pre-build a four-dimensional mapping table, which is associated with compressor frequency, fan speed, diffusion angle and wind speed attenuation curve; The output module is used to acquire the preset target temperature and the real-time ambient temperature. Based on the real-time ambient temperature, the preset target temperature and the area density information, the fuzzy PID algorithm is used to calculate and output the cooling adjustment parameters. The query module is used to query and obtain the air outlet adjustment parameters from the four-dimensional mapping table based on the cooling adjustment parameters and the area density information; The adjustment module is used to adjust the working state of the air conditioner light based on the cooling adjustment parameters and the air outlet adjustment parameters.

9. A control device for an air conditioner light, characterized in that, The control device for the air conditioner light includes: a memory and at least one processor, wherein the memory stores instructions; At least one of the processors invokes the instructions in the memory to cause the control device of the air conditioner light to perform the steps of the control method of the air conditioner light as claimed in any one of claims 1-7.

10. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the various steps of the air conditioner light control method as described in any one of claims 1-7.

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