Drying method and device for multi-air-opening air guide control, drying equipment and medium

Abstract

The invention discloses a multi-air-opening air guide control drying method and device, drying equipment and a medium, and belongs to the technical field of general control or adjusting systems. The method comprises the steps that space information of a containing cavity of the drying equipment is obtained; according to the space information, the arrangement positions of at least two air inlets in the containing cavity and controllable direction information of an air guide plate of each air inlet, space parameters of the drying control model are determined; acquiring placement shape information of the to-be-dried article; determining dynamic control parameters of the drying control model according to the placement shape information; and based on the space parameters and the dynamic control parameters of the drying control model, a cooperative control instruction for an air guide plate of the air inlet is output, and drying operation is executed. According to the technical scheme, reasonable air guide control is carried out on the multiple air ports of the drying equipment, the drying efficiency can be improved, energy can be saved, the drying effect can be guaranteed, reasonable control can be carried out according to different scenes, and the use experience of a user is improved.

Description

Technical Field

[0001] This application belongs to the technical field of general control or regulation systems, and particularly relates to a drying method, device, drying equipment and medium for multi-air outlet air guiding control. Background Art

[0002] With the rapid development of the technological level, the control or regulation system of drying equipment has gradually become intelligent. In order to meet the production and use requirements of various equipment components, after the components complete the corresponding processing, drying treatment is required to obtain clean components for installation or use. In addition, in family life, with the increasing demand for improving the quality of life, the demand for drying items such as clothes is also increasing.

[0003] Regarding the control of drying equipment, it is often programmed at present. Especially for drying parameters, there is no differential treatment according to the composition, material and shape of the items to be dried, which will result in a reduction in drying efficiency. Often, some positions of the items have been dried, while there is still a large amount of moisture in other positions. Therefore, how to reasonably control the drying parameters is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide a drying method, device, drying equipment and medium for multi-air outlet air guiding control, aiming to solve the problems of low drying efficiency and poor drying effect caused by unreasonable setting of drying parameters. This solution reasonably controls the multi-air outlets of the drying equipment through a drying control model, combined with the characteristics of the accommodation cavity inside the drying equipment and information such as the placement shape of the items. It can not only improve the drying efficiency, save energy, but also ensure the drying effect, and can also perform reasonable control for different scenarios, enhancing the user experience.

[0005] In the first aspect, the embodiments of this application provide a drying method for multi-air outlet air guiding control, and the method includes:

[0006] Obtain the spatial information of the accommodation cavity of the drying equipment;

[0007] Determine the spatial parameters of the drying control model according to the spatial information, the setting positions of at least two air inlets in the accommodation cavity and the controllable direction information of the air guiding plates of each air inlet;

[0008] Obtain the placement shape information of the items to be dried;

[0009] Determine the dynamic control parameters of the drying control model according to the placement shape information;

[0010] Output a collaborative control instruction for the air deflectors of at least two air inlets based on the spatial parameters and dynamic control parameters of the drying control model, and perform the drying operation.

[0011] Further, obtain the placement shape information of the item to be dried, including:

[0012] Obtain an image of the item to be dried in the accommodation cavity through an image acquisition device of the drying equipment to obtain the placement shape information of the item to be dried, where the placement shape information includes the spatial position information of the item to be dried in the accommodation cavity;

[0013] and / or,

[0014] Obtain distance data of the item to be dried in the accommodation cavity through a distance detection device of the drying equipment, and based on the distance data, calculate and obtain the placement shape information of the item to be dried, where the placement shape information includes the spatial position information of the item to be dried in the accommodation cavity;

[0015] and / or,

[0016] Obtain point cloud data of the item to be dried in the accommodation cavity through a point cloud scanning device of the drying equipment, and based on the point cloud data, obtain the placement shape information of the item to be dried, where the placement shape information includes the spatial position information of the item to be dried in the accommodation cavity.

[0017] Further, the method further includes:

[0018] Obtain the position of the air inlet, the size of the air inlet, the controllable direction information of the air deflector of the air inlet, the position of the air outlet, and the size of the air outlet in the accommodation cavity;

[0019] Based on the position of the air inlet, the size of the air inlet, the controllable direction information of the air deflector, the position of the air outlet, and the size of the air outlet, construct an air flow model of the accommodation cavity;

[0020] Correspondingly, determine the dynamic control parameters of the drying control model according to the placement shape information, including:

[0021] Determine the dynamic control parameters of the drying control model according to the air flow model and the placement shape information.

[0022] Further, determine the dynamic control parameters of the drying control model according to the air flow model and the placement shape information, including:

[0023] According to the air flow model and the placement shape information, fit the path change information of the drying gas;

[0024] Determine the linkage control parameters of the air deflector for the air inlet and the initial air velocity parameters of the air inlet in the drying control model according to the path change information of the drying gas.

[0025] Further, output a collaborative control instruction for the air deflectors of at least two air inlets, including:

[0026] Output a collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets.

[0027] Further, before outputting the collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets, the method further includes:

[0028] Based on a preset number of historical training data, determine the collaborative control parameters that maximize the energy efficiency of the drying control model;

[0029] Correspondingly, output a collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets, including:

[0030] Based on the collaborative control parameters, output a collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets.

[0031] Further, before outputting the collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets, the method further includes:

[0032] Based on a preset number of historical training data, determine the collaborative control parameters that maximize the wind force of the drying control model;

[0033] Correspondingly, output a collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets, including:

[0034] Based on the collaborative control parameters, output a collaborative control instruction for the control period and / or direction phase of the air deflectors of the at least two air inlets.

[0035] In a second aspect, an embodiment of the present application provides a drying device for multi-air-inlet air deflector control, and the device includes:

[0036] A space information acquisition module, configured to acquire the space information of the accommodation cavity of the drying device;

[0037] A space parameter determination module, configured to determine the space parameters of the drying control model according to the space information, the set positions of at least two air inlets in the accommodation cavity, and the controllable direction information of the air deflector of each air inlet;

[0038] A placement shape information acquisition module is configured to acquire the placement shape information of the item to be dried;

[0039] A dynamic control parameter determination module is configured to determine the dynamic control parameters of the drying control model according to the placement shape information;

[0040] A collaborative control module is configured to output collaborative control instructions for the air deflectors of at least two air inlets based on the spatial parameters and dynamic control parameters of the drying control model, and perform the drying operation.

[0041] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0042] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0043] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is configured to run a program or instruction to implement the method described in the first aspect.

[0044] In the embodiment of the present application, the spatial information of the accommodation cavity of the drying device is acquired; according to the spatial information, the setting positions of at least two air inlets in the accommodation cavity, and the controllable direction information of the air deflector of each air inlet, the spatial parameters of the drying control model are determined; the placement shape information of the item to be dried is acquired; according to the placement shape information, the dynamic control parameters of the drying control model are determined; based on the spatial parameters and dynamic control parameters of the drying control model, collaborative control instructions for the air deflectors of at least two air inlets are output, and the drying operation is performed. Through the above technical solutions, by means of the drying control model, combined with the characteristics of the accommodation cavity inside the drying device and information such as the placement shape of the item, reasonable air guiding control of multiple air inlets of the drying device can be carried out, which can not only improve the drying efficiency, save energy, but also ensure the drying effect, and can also perform reasonable control for different scenarios, improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flowchart of a drying method for multi-air-inlet air guiding control provided in Embodiment 1 of the present application;

[0046] Figure 2 is a flowchart of a drying method for multi-air-inlet air guiding control provided in Embodiment 2 of the present application;

[0047] Figure 3 It is a schematic structural diagram of a drying device with multi-air outlet air guiding control provided in Embodiment 3 of the present application;

[0048] Figure 4 It is a schematic structural diagram of a drying device provided in Embodiment 4 of the present application. Detailed implementation manners

[0049] In order to make the objectives, technical solutions and advantages of the present application clearer, the following further describes in detail specific embodiments of the present application with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only for explaining the present application, rather than limiting the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application are shown in the accompanying drawings rather than all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there may also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0050] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present application.

[0051] The terms "first", "second", etc. in the description and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. generally belong to the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0052] The following will, with reference to the accompanying drawings, explain in detail the multi-air outlet air guiding control drying method, device, drying equipment and medium provided in the embodiments of the present application through specific embodiments and their application scenarios.

[0053] Embodiment 1

[0054] Figure 1 It is a schematic flowchart of a drying method for multi-air outlet air guiding control provided in the first embodiment of the present application.

[0055] As Figure 1 shown, it specifically includes the following steps:

[0056] S101, obtaining spatial information of the accommodation cavity of the drying device;

[0057] First of all, the present application is applicable to industrial drying scenarios or the usage scenarios of household drying devices. Based on the above usage scenarios, it can be understood that the execution subject of the present application can be a drying device. A drying device is a device used for drying operations, which can be equipped with advanced sensing and control technologies, such as industrial drying devices, laundry drying all-in-ones, dryers, and dishwashers.

[0058] A drying device can be a mechanical device that uses heat energy to evaporate moisture in an object to achieve the purpose of drying. In the industrial field, there are large drying kilns for drying ores and chemical raw materials, which have the characteristics of high temperature and large capacity and can quickly process a large amount of materials; in the agricultural field, common grain dryers can dry freshly harvested wet grains for storage to prevent mildew; in daily life, household clothes dryers, hair dryers, etc. are also common drying devices.

[0059] The accommodation cavity can be a space specifically designed inside the drying device to place items to be dried. Taking a clothes dryer as an example, its accommodation cavity is usually a drum, and the design of the drum can make the clothes tumble continuously during the drying process, increasing the heating area; for a grain dryer, the accommodation cavity may be a large storage body, and the grains move slowly through a conveyor belt or gravity to complete the drying process.

[0060] Spatial information can be multiple-dimensional information covering the accommodation cavity. For example, in terms of geometric dimensions, it includes specific values of length, width, and height, and these values determine the volume of the accommodation cavity and affect the quantity of items that can be dried; shape information, such as regular cuboids, cylinders, or irregular shapes, different shapes will affect the flow pattern of air in the accommodation cavity. In addition, the internal structure layout information is also very important. For example, whether there are partitions, the position and quantity of the partitions will change the flow direction and distribution of air, whether there are protrusions or depressions, and these structures may cause air vortices to form, affecting the drying effect.

[0061] This solution can use lidar technology to accurately measure the size and shape of the accommodation cavity by emitting laser beams and measuring the time of the reflected light. It can quickly obtain a large amount of three-dimensional point cloud data and obtain accurate spatial information after processing. The ultrasonic sensor uses the propagation characteristics of ultrasonic waves in the air to calculate the distance by measuring the time of the reflected wave, thereby determining the boundary of the accommodation cavity. In addition, the pre-stored spatial information can be read from the design documents or databases of the drying equipment, which are usually accurately measured and recorded during the equipment manufacturing process.

[0062] S102. Determine the spatial parameters of the drying control model according to the spatial information, the installation positions of at least two air inlets in the accommodation cavity, and the controllable direction information of the air guide plates of each air inlet.

[0063] The air inlet can be a channel through which air enters the drying equipment. Its function is to introduce external air into the equipment and form hot air after heating, providing the necessary heat and air flow for the drying process. The size, quantity, and shape of the air inlet will affect the air inlet speed and flow rate, thereby affecting the drying efficiency.

[0064] The air guide plate can be an adjustable component installed at the air inlet, and its main function is to change the direction of the incoming air. The air guide plate is usually made of metal or plastic and is controlled by a motor or other driving device to rotate or swing. Different air guide plate designs can achieve different air guiding effects. For example, some air guide plates can swing left and right, some can swing up and down, and some can rotate at multiple angles.

[0065] The installation position can refer to the specific installation position of the air inlet on the accommodation cavity. The position of the air inlet will directly affect the distribution of hot air in the accommodation cavity. For example, when the air inlet is located at the top, the hot air can flow from top to bottom, which is suitable for drying lighter items; when the air inlet is located on the side, the hot air can blow horizontally across the items, which is conducive to uniform drying; when the air inlet is located at the bottom, the hot air can flow from bottom to top, which has a good drying effect on items with a relatively thick stack.

[0066] The controllable direction information can represent the direction range and angle that the air guide plate can adjust. This information is crucial for accurately controlling the flow direction of the hot air. For example, the air guide plate can swing left and right by 0 - 180 degrees in the horizontal direction and swing up and down by 0 - 90 degrees in the vertical direction. By controlling the angle of the air guide plate, the hot air can be accurately blown to different parts of the item to be dried.

[0067] The drying control model can be a pre - constructed model used to simulate and predict various parameters and phenomena during the drying process. It comprehensively considers factors such as the spatial information of the accommodation cavity, the setting position of the air inlet, the controllable direction information of the air guide plate, and the characteristics of the items to be dried. By analyzing and calculating these factors, the optimal drying control strategy is obtained.

[0068] Spatial parameters can be a set of parameters determined according to the spatial information of the accommodation cavity, the air inlet position, and the controllable direction information of the air guide plate, and are used to describe the spatial characteristics of the drying environment. These parameters include the velocity distribution, temperature distribution, and pressure distribution of the air flow, etc. They directly affect the heat and moisture transfer efficiency during the drying process and are important input parameters for the drying control model.

[0069] This solution can collect the setting position of the air inlet and the controllable direction information of the air guide plate for each air inlet, and combine with the spatial information to determine the spatial parameters of the drying control model.

[0070] S103, obtain the placement shape information of the item to be dried;

[0071] The item to be dried can be an object that needs to be dried in a drying device, and there are various types. In industry, it may be metal products, plastic products, and wafers, etc. These items may have residual moisture during the processing and need to be dried to ensure product quality. In the agricultural field, common items to be dried are grains, fruits, and vegetables, etc. Drying can extend their storage period; in daily life, the items to be dried can be clothes, towels, etc.

[0072] The placement shape information can refer to the placement form of the item to be dried in the accommodation cavity. For clothes, the placement shape may be stacked together, in which case it is more difficult to dry the inner clothes; it may also be laid flat, and laying flat can increase the heat - receiving area of the clothes and improve the drying efficiency; it may also be hung, and in the hanging state, the ventilation of the clothes is better, which is conducive to the evaporation of moisture. For granular items such as grains, the placement shape may be loosely stacked or packed in bags, and different placement shapes will affect the circulation of hot air between the items and thus affect the drying effect.

[0073] This solution can adopt image recognition technology, etc. For example, by installing a camera inside the drying equipment to capture images of the items to be dried, and then using deep learning algorithms to analyze and process the images to identify the placement shape of the items. For example, using Convolutional Neural Networks (CNN) to extract and analyze features such as the outline and distribution of the items in the image, so as to accurately judge the placement shape of the items. In addition, it can also be to use pressure sensors to detect the distribution of the items in the accommodation cavity, and infer the placement shape of the items based on the change of pressure, or use infrared sensors to detect the temperature distribution on the surface of the items, and judge the placement shape of the items through the temperature difference.

[0074] S104. Determine the dynamic control parameters of the drying control model according to the placement shape information.

[0075] The dynamic control parameters can be a set of parameters determined according to the placement shape information of the items to be dried, and are used to adjust the drying control model in real time. These parameters include the speed, temperature of the incoming air, and the angle of the air deflector, etc., and will be dynamically adjusted as the placement shape of the items to be dried changes to ensure the efficiency and uniformity of the drying process.

[0076] This solution obtains the dynamic control parameters of the drying control model through data analysis and algorithm calculation according to the placement shape information. First, compare the placement shape information with a pre-established database, which stores the optimal drying parameters corresponding to different placement shapes. Then, according to the comparison result and the current drying state, use fuzzy control algorithms or genetic algorithms for optimization calculation to obtain the dynamic control parameters under the current placement shape.

[0077] S105. Based on the spatial parameters and dynamic control parameters of the drying control model, output collaborative control instructions for the air deflectors of at least two air inlets, and perform the drying operation.

[0078] The collaborative control instructions can be a set of instructions generated based on the spatial parameters and dynamic control parameters of the drying control model, and are used to coordinate the actions of the air deflectors of at least two air inlets. These instructions include the rotation angle, rotation speed of the air deflector, the flow rate and temperature of the incoming air, etc. By precisely controlling these parameters, the hot air from each air inlet can act synergistically to achieve the best drying effect.

[0079] The drying operation can be a process of introducing hot air through the air inlets into the drying equipment according to the collaborative control instructions to dry the items to be dried in the accommodation cavity. During the drying operation, the drying equipment will continuously monitor drying parameters such as temperature and humidity, and adjust the collaborative control instructions in real time according to the monitoring results to ensure the stability and efficiency of the drying process.

[0080] In this solution, the drying control model can generate a collaborative control instruction according to the calculated spatial parameters and dynamic control parameters, and send it to the control system of the drying device. After receiving the collaborative control instruction, the control system of the drying device drives the air deflector at the air inlet to act according to the instruction, and starts the drying process. The control system controls the rotation of the air deflector and parameters such as the flow rate and temperature of the incoming air through actuators such as motors and solenoid valves to ensure that the drying operation is carried out according to the predetermined control strategy.

[0081] The technical solution provided in this embodiment constructs an intelligent drying control model by comprehensively considering the spatial information of the accommodation cavity of the drying device, the relevant information of the air inlet and the air deflector, and the placement shape information of the item to be dried. It can accurately obtain various parameters and adjust the drying process in real time. Through the collaborative control instruction, the collaborative action of multiple air inlet deflectors is realized, so that the hot air can be evenly distributed in the accommodation cavity, improving the drying efficiency. At the same time, the drying parameters are dynamically adjusted according to the actual situation of the item to be dried, avoiding the problems of over-drying or uneven drying, and ensuring the drying quality. In addition, this intelligent control method can also optimize energy utilization, reduce energy consumption, and lower the drying cost.

[0082] In one embodiment, optionally, obtaining the placement shape information of the item to be dried includes:

[0083] Obtaining an image of the item to be dried in the accommodation cavity through an image acquisition device of the drying device to obtain the placement shape information of the item to be dried, where the placement shape information includes the spatial position information of the item to be dried in the accommodation cavity;

[0084] And / or,

[0085] Obtaining distance data of the item to be dried in the accommodation cavity through a distance detection device of the drying device, and calculating the placement shape information of the item to be dried based on the distance data, where the placement shape information includes the spatial position information of the item to be dried in the accommodation cavity;

[0086] And / or,

[0087] Obtaining point cloud data of the item to be dried in the accommodation cavity through a point cloud scanning device of the drying device, and obtaining the placement shape information of the item to be dried based on the point cloud data, where the placement shape information includes the spatial position information of the item to be dried in the accommodation cavity.

[0088] Among them, the image acquisition device can be a device installed in the drying device for taking images of the item to be dried. Commonly used are industrial-grade high-definition cameras, which have high resolution, wide dynamic range, and good low-light performance, can adapt to the complex environment in the drying device, and stably and clearly capture the images of the items.

[0089] Spatial position information refers to the specific position of the item to be dried in the three-dimensional space of the accommodation cavity of the drying device, which can be presented in the form of coordinates and reflects the specific positioning of the item in the three dimensions of length, width, and height.

[0090] In this solution, the image acquisition device can turn on the shooting function according to a preset trigger condition. During this process, technologies such as automatic exposure and automatic white balance may be used to ensure that the captured image is clear and the color is accurate, so as to obtain an image of the item to be dried in the accommodation cavity. After obtaining the image, image processing technology can be used to analyze the captured image. For example, first perform image preprocessing operations such as noise reduction and contrast enhancement; then apply target detection and recognition algorithms to extract the contour and features of the item to be dried from the image; finally, according to the correspondence between the coordinate system of the image and the spatial coordinate system inside the device, calculate the spatial position information of the item, and then obtain the placement shape information.

[0091] The distance detection device can be a device that measures the distance between the item to be dried and the device using different principles. For example, the ultrasonic sensor calculates the distance by emitting ultrasonic waves and receiving the reflected waves, or the lidar accurately measures the distance using the flight time of the laser beam, and so on.

[0092] Distance data can be the distance values between the item to be dried and the device measured by the distance detection device. These data exist in the form of discrete points and can reflect the distance conditions between different positions on the surface of the item and the device.

[0093] In this solution, the distance detection device emits detection signals at a set frequency, and then receives the signals reflected from the surface of the item to be dried. By measuring parameters such as the propagation time or phase change of the signal, the distance value is calculated, so as to obtain the distance data of the item to be dried in the accommodation cavity. Then, the data can be filtered and calibrated to remove noise and errors, and a suitable mathematical model or algorithm is used to reconstruct the surface shape and spatial position of the item to be dried based on multiple distance data points, and then obtain the placement shape information.

[0094] The point cloud scanning device can be a device that quickly scans the surface of an object by emitting a laser beam or other detection signals to obtain a large number of three-dimensional coordinate points, and can obtain the geometric shape and spatial position information of the surface of the item to be dried, forming point cloud data.

[0095] In this solution, the point cloud scanning device performs an all-round scan of the items to be dried in the holding cavity in a certain scanning mode. During the scanning process, the detection signal is continuously emitted and the relevant information of the reflected signal is recorded. After being processed by the internal algorithm, the three-dimensional coordinates of each scanning point are obtained, thereby obtaining the point cloud data of the items to be dried in the holding cavity. The point cloud processing technology is used to analyze the acquired point cloud data. First, point cloud filtering is performed to remove noise points and outliers; then point cloud registration is performed to align the point cloud data collected from different perspectives or at different times; then surface reconstruction is performed to construct a three-dimensional surface model of the items to be dried based on the point cloud data; finally, the spatial position and shape information of the items are extracted from the model to obtain the placement shape information.

[0096] This technical solution provides a variety of methods for obtaining the placement shape information of the items to be dried. Among them, the image acquisition device can intuitively reflect the appearance and approximate position of the item, the distance detection device can accurately measure the distance between the item and the equipment, and provide data support for determining the shape, and the point cloud scanning device can comprehensively and meticulously present the three-dimensional shape and spatial position of the item. By combining these methods, the placement shape information of the items to be dried can be obtained more accurately and comprehensively. This helps the drying equipment to accurately adjust the drying parameters, such as air inlet direction, wind speed and temperature, according to the actual situation of the items, to achieve efficient and uniform drying effects, improve drying quality, and reduce energy consumption.

[0097] In one embodiment, optionally, outputting a coordinated control instruction for air guide plates of at least two air inlets includes:

[0098] Output coordinated control instructions for the control period and / or directional phase of the air guide plates of the at least two air inlets.

[0099] The control cycle may refer to the length of time required to perform a complete control operation on the air inlet guide plate. During this time, the air guide plate will complete a series of actions according to the set rules, such as rotating from one angle to another, and then returning to the initial angle. Different drying stages or different items to be dried may require different control cycles to achieve the best drying effect. For example, in the early stages of drying, a shorter control cycle may be required to quickly adjust the distribution of hot air; in the later stages of drying, in order to ensure uniform drying of the items, the control cycle may be appropriately extended.

[0100] The direction phase can be used to describe the rotational direction and angular position relationship of the air deflector at different times. When multiple air inlet deflectors work together, the direction phase determines the sequence and relative angles of the actions of each air deflector. For example, when there are two air inlet deflectors, their direction phases can be set to rotate synchronously, or one air deflector can be set to rotate a certain angle first, and then the other air deflector starts to rotate. In this way, the flow pattern of the hot air in the accommodation cavity can be adjusted.

[0101] In this solution, the control system of the drying equipment generates a collaborative control instruction for at least two air inlet deflectors according to the spatial parameters and dynamic control parameters calculated by the drying control model, and sends these instructions in the form of electrical signals or other transmissible forms to comprehensively control the air inlet deflectors of at least two air inlets. By controlling parameters such as the control period and direction phase of the air deflector, the reasonable distribution of hot air in the accommodation cavity is realized, and the drying requirements of different parts of the item to be dried are met. For example, when drying a large item, by adjusting the direction phases of different air inlet deflectors, the hot air can be evenly blown towards the item from multiple angles, avoiding local overheating or uneven drying.

[0102] This technical solution can more precisely control the flow and distribution of hot air in the accommodation cavity of the drying equipment by outputting a collaborative control instruction for the control period and / or direction phase of at least two air inlet deflectors. According to the shape, spatial position and drying stage of the item to be dried, flexibly adjusting the control period and direction phase of the air deflector can realize the dynamic optimization distribution of hot air. This can not only improve the drying efficiency, reduce the drying time, but also ensure that all parts of the item to be dried can be evenly dried, improve the drying quality, reduce energy consumption, and enable the drying equipment to better meet the needs of different types and different states of items to be dried.

[0103] In one embodiment, optionally, before outputting the collaborative control instruction for the control period and / or direction phase of the air inlet deflectors of the at least two air inlets, the method further includes:

[0104] Based on a preset number of historical training data, determine the collaborative control parameters that maximize the energy efficiency of the drying control model;

[0105] Correspondingly, outputting the collaborative control instruction for the control period and / or direction phase of the air inlet deflectors of the at least two air inlets includes:

[0106] Based on the collaborative control parameters, output the collaborative control instruction for the control period and / or direction phase of the air inlet deflectors of the at least two air inlets.

[0107] Among them, the historical training data can be a large set of data accumulated during the past operation of the drying equipment, which may include various relevant information during each drying operation, such as the spatial information of the accommodation cavity of the drying equipment, the placement shape information of the items to be dried, the control parameters of the air inlet guide vanes, the energy consumption data during the drying process, and the final drying effect evaluation data, etc. These data can serve as the basis for subsequent analysis and model training.

[0108] Energy efficiency can refer to the relationship between the energy consumed and the drying effect achieved by the drying equipment during the drying task. Maximizing energy efficiency means minimizing energy consumption as much as possible while ensuring the drying quality and improving the energy utilization efficiency. For example, under the same drying time and drying effect, the less electric energy consumed, the higher the energy efficiency.

[0109] The collaborative control parameters can be a set of parameters obtained through optimized calculations and used to guide the collaborative work of at least two air inlet guide vanes. These parameters specifically include the control period and direction phase of the guide vanes, and their values are determined by analyzing historical training data and training the model with the goal of maximizing the energy efficiency of the drying control model.

[0110] This solution can use machine learning technology to deeply mine and analyze a preset number of historical training data. First, an energy efficiency evaluation model is constructed, which takes various parameters during the drying process as inputs and energy efficiency as the output. Then, the historical training data is used to train and optimize the model. By continuously adjusting the parameters of the model, a set of collaborative control parameters that maximize the energy efficiency is found. After determining the collaborative control parameters, the control system of the drying equipment generates collaborative control instructions for the control period and / or direction phase of at least two air inlet guide vanes according to these parameters and sends these instructions to the driving device of the guide vanes.

[0111] This technical solution determines the collaborative control parameters that maximize the energy efficiency of the drying control model based on historical training data and outputs the collaborative control instructions for the guide vanes accordingly, which can significantly improve the energy utilization efficiency of the drying equipment. Through the analysis and optimization of a large amount of historical data, the found collaborative control parameters can make the guide vanes distribute hot air more reasonably during operation, reducing energy waste. At the same time, while ensuring the drying effect, the energy consumption is reduced, which can not only reduce the drying cost but also meet the environmental protection requirements of energy conservation and emission reduction.

[0112] In one embodiment, optionally, before outputting the collaborative control instructions for the control period and / or direction phase of the guide vanes of the at least two air inlets, the method further includes:

[0113] Based on a preset quantity of historical training data, determine the collaborative control parameters that maximize the wind force of the drying control model;

[0114] Correspondingly, output a collaborative control instruction for the control period and / or direction phase of the air guide plates of the at least two air inlets, including:

[0115] Based on the collaborative control parameters, output a collaborative control instruction for the control period and / or direction phase of the air guide plates of the at least two air inlets.

[0116] Among them, maximizing the wind force can refer to, during the operation of the drying equipment, by reasonably adjusting equipment parameters such as the air inlet guide plates, making the wind force in the accommodation cavity of the drying equipment reach the maximum intensity on the premise of meeting the drying requirements. The magnitude of the wind force here affects the speed of heat transfer and moisture evaporation during the drying process. The greater the wind force, generally, the faster the drying efficiency can be accelerated, but issues such as avoiding damage to the items also need to be considered.

[0117] The collaborative control parameters are a set of parameters determined at this time to maximize the wind force of the drying control model, including the control period, direction phase, etc. of at least two air inlet guide plates. These parameters cooperate with each other to jointly determine the movement mode of the guide plates, thereby affecting the wind force distribution and intensity in the drying equipment.

[0118] This solution analyzes a preset quantity of historical training data, extracts data related to the control period of the guide plates, direction phase, and wind force magnitude. Construct an optimization model with the wind force magnitude as the objective function, taking the control period and direction phase of the guide plates as variables. For example, it is possible to control the guide plates of two air inlets to avoid the mutual cancellation caused by the direct blowing of the wind at the air inlets towards each other. Specifically, through optimization algorithms such as the gradient descent algorithm and particle swarm algorithm, continuously adjust the values of the variables to make the objective function reach the maximum value, thereby determining the collaborative control parameters that maximize the wind force. The control system of the drying equipment generates corresponding collaborative control instructions based on the determined collaborative control parameters that maximize the wind force.

[0119] This technical solution determines the collaborative control parameters that maximize the wind force of the drying control model based on historical training data, and outputs collaborative control instructions for the guide plates accordingly, which can effectively improve the drying efficiency of the drying equipment. A greater wind force can accelerate the flow of air in the accommodation cavity, enhance heat transfer, and make the moisture on the surface of the items to be dried evaporate faster, thereby shortening the drying time. At the same time, reasonable wind force control also helps to make the drying more uniform, avoiding situations such as insufficient local drying or over-drying, and improving the drying quality. In practical applications, for example, in some scenarios with high requirements for drying time, such as industrial large-scale drying production, this technical solution can significantly improve production efficiency and reduce production costs.

[0120] Embodiment 2

[0121] Figure 2 It is a schematic flow chart of the drying method for multi-air outlet air guiding control provided in Embodiment 2 of the present application. This solution makes a better improvement to the above embodiment. The specific improvement is as follows: The method further includes: obtaining the position of the air inlet, the size of the air inlet, the controllable direction information of the air guiding plate of the air inlet, the position of the air outlet, and the size of the air outlet in the accommodation cavity; based on the position of the air inlet, the size of the air inlet, the controllable direction information of the air guiding plate, the position of the air outlet, and the size of the air outlet, constructing an air flow model of the accommodation cavity; correspondingly, determining the dynamic control parameters of the drying control model according to the placement shape information, including: determining the dynamic control parameters of the drying control model according to the air flow model and the placement shape information. As Figure 2 shown, it specifically includes the following steps:

[0122] S201, obtaining the spatial information of the accommodation cavity of the drying equipment;

[0123] S202, determining the spatial parameters of the drying control model according to the spatial information, the set positions of at least two air inlets in the accommodation cavity, and the controllable direction information of the air guiding plate of each air inlet;

[0124] S203, obtaining the placement shape information of the item to be dried;

[0125] S204, obtaining the position of the air inlet, the size of the air inlet, the controllable direction information of the air guiding plate of the air inlet, the position of the air outlet, and the size of the air outlet in the accommodation cavity;

[0126] Among them, the position of the air inlet can refer to the specific coordinate position of the air inlet in the accommodation cavity of the drying equipment in space. For example, the air inlet is on the left side wall or the top center of the accommodation cavity. It determines the starting position of the hot air entering the accommodation cavity and has an important impact on the initial flow direction of the hot air.

[0127] The size of the air inlet can describe the size of the air inlet, usually measured by area. The size of the air inlet affects the amount of hot air entering the accommodation cavity, and thus affects the drying speed and efficiency.

[0128] The position of the air outlet can be the position where the air in the accommodation cavity is discharged. Its position is related to the air flow path and air pressure balance in the accommodation cavity. For example, if the air outlet is in the bottom corner of the accommodation cavity, it will cause the air to be discharged from the bottom to form a specific air flow direction.

[0129] The size of the air outlet can also be expressed by area, that is, the speed and flow rate of the air discharged, which cooperates with the size of the air inlet and affects the air circulation in the accommodation cavity.

[0130] This solution can directly read the position and size information of the air inlet and outlet from the design drawings or specification documents of the drying equipment; for the controllable direction information of the air deflector, the setting parameters can be queried through the electronic control system of the equipment; the actual position and size of the air inlet and outlet can also be measured using sensors to ensure the accuracy and real-time nature of the information.

[0131] S205. Based on the air inlet position, air inlet size, controllable direction information of the air deflector, air outlet position, and air outlet size, construct an air flow model of the accommodation cavity;

[0132] The air flow model can be a model established based on physical principles and mathematical algorithms, used to simulate and predict the air flow state in the accommodation cavity of the drying equipment. It comprehensively considers factors such as the air inlet position and size, the controllable direction of the air deflector, and the air outlet position and size, and obtains information such as the air flow velocity, flow direction, and pressure distribution in the accommodation cavity through calculation and analysis, providing a theoretical basis for the optimization of the drying process.

[0133] In this solution, the air flow law can be obtained through a large number of experiments and fitting calculations, and based on the differences in parameters such as the air inlet position, air inlet size, controllable direction information of the air deflector, air outlet position, and air outlet size, air flow models in different accommodation cavities can be constructed. For example, during the experiment, the air deflector is adjusted to different angles and experiments are carried out with different air outlet opening degrees to obtain various air flow patterns, such as the formation of air vortices at certain positions, thereby obtaining the law model of air flow.

[0134] S206. Determine the dynamic control parameters of the drying control model according to the air flow model and the placement shape information;

[0135] This solution can combine the air flow model with the placement shape information of the items to be dried for analysis. First, obtain the air flow state data in the accommodation cavity from the air flow model, such as the flow velocity distribution and pressure distribution. Then, considering the placement shape information of the items to be dried, analyze the wind force and heat effects on the items at different positions. Using this information, through algorithms and logical judgments, determine the dynamic control parameters of the drying control model suitable for the current placement shape, such as adjusting the angle of the air inlet deflector and the control period, to optimize the distribution of hot air and improve the drying effect and efficiency.

[0136] S207. Based on the spatial parameters and dynamic control parameters of the drying control model, output a collaborative control instruction for the air deflectors of at least two air inlets and perform the drying operation.

[0137] The technical solution provided in this embodiment can accurately control the drying process by obtaining relevant information about the air inlet, air outlet, and air deflector in the accommodation cavity, constructing an air flow model, and determining dynamic control parameters in combination with the placement shape information of the item to be dried. The air flow model can predict the air flow in the accommodation cavity and flexibly adjust the drying control parameters according to the actual item placement situation and air flow state. This can not only improve the drying efficiency, ensure that the item to be dried is evenly heated and quickly dried, but also avoid problems such as local overheating or insufficient drying caused by uneven hot air distribution, improve the drying quality, and reduce the energy consumption during the drying process.

[0138] In one embodiment, optionally, determining the dynamic control parameters of the drying control model according to the air flow model and the placement shape information includes:

[0139] Fitting the path change information of the drying gas according to the air flow model and the placement shape information;

[0140] Determining the linkage control parameters of the air deflector for the air inlet and the initial wind speed parameters of the air inlet in the drying control model according to the path change information of the drying gas.

[0141] Among them, the path change information can represent the change situation of the flow trajectory and direction of the drying gas in the accommodation cavity. It includes the change situation of the flow direction and speed of the gas when it encounters objects such as the item to be dried, the air deflector, and the accommodation cavity wall after entering from the air inlet. For example, the drying gas may change its flow direction when encountering an item, bypass the item and continue to flow, or flow at a specific angle and direction under the action of the air deflector.

[0142] This solution can use a fitting algorithm to approximately determine the actual flow path of the drying gas according to the air flow state data provided by the air flow model and the placement shape information of the item to be dried. For example, the method of curve fitting can be used to process the data points in the air flow model to obtain a curve that can describe the flow path of the drying gas, or a machine learning algorithm can be used to learn a large amount of air flow data and item placement information to establish a model to predict the path change of the drying gas. In this way, the complex air flow situation is transformed into path change information that can be analyzed and processed.

[0143] In the drying control model, the linkage control parameters of the air deflectors can be used to control the coordinated movement between the air deflectors of at least two air inlets. These parameters determine the rotation angle, rotation speed, and the sequence of actions of the air deflectors, enabling the air deflectors to cooperate with each other to jointly adjust the flow direction and distribution of the drying gas. For example, the linkage control parameters can be set so that the air deflectors of two air inlets rotate in a certain direction by a certain angle simultaneously to direct the drying gas to concentrate on blowing a specific part of the item to be dried.

[0144] The initial wind speed parameter can be the magnitude of the initial speed of the drying gas when it enters the air inlet. This parameter affects the flow speed and coverage range of the drying gas in the accommodation chamber, and thus affects the drying efficiency and drying effect. Different items to be dried and drying requirements may require different initial wind speed parameters. For example, for thin and light clothes, a lower initial wind speed may be needed to avoid the clothes being blown disorderly or damaged; while for thicker items, a higher initial wind speed may be required to speed up the drying process.

[0145] This solution can analyze the flow situation of the drying gas in the accommodation chamber and its impact on the items to be dried at different positions according to the path change information of the drying gas obtained by fitting. Through calculation and reasoning, appropriate linkage control parameters of the air deflectors are determined to adjust the flow direction of the drying gas, making it better adapt to the placement shape of the items and improving the drying uniformity and efficiency. At the same time, according to the gas flow speed requirements reflected in the path change information, the initial wind speed parameter of the air inlet is determined to ensure that the drying gas can enter the accommodation chamber at an appropriate speed to meet the drying needs. This process may involve complex mathematical calculations and logical judgments, and multiple factors need to be comprehensively considered to determine the optimal parameter values.

[0146] This technical solution can achieve refined control of the drying process by fitting the path change information of the drying gas according to the air flow model and the placement shape information, and determining the dynamic control parameters of the drying control model accordingly. Accurately fitting the path change information of the drying gas enables in-depth understanding of the actual flow situation of the drying gas in the accommodation chamber, so as to make targeted adjustments according to the placement shape of the items. By reasonably setting the linkage control parameters of the air deflectors, the flow direction of the drying gas can be optimized to ensure that the gas can act on the items to be dried evenly, avoiding problems such as insufficient local drying or over-drying. At the same time, accurately determining the initial wind speed parameter can make the drying gas enter the accommodation chamber at an appropriate speed, improve the drying efficiency, and reduce energy consumption.

[0147] Embodiment III

[0148] Figure 3 It is a schematic structural diagram of a drying device with multi-air-inlet air deflector control provided in Embodiment III of the present application.

[0149] AsFigure 3 As shown, the device includes:

[0150] A space information acquisition module 301, configured to acquire the space information of the accommodation cavity of the drying device;

[0151] A space parameter determination module 302, configured to determine the space parameters of the drying control model according to the space information, the setting positions of at least two air inlets in the accommodation cavity, and the controllable direction information of the air guiding plates of each air inlet;

[0152] A placement shape information acquisition module 303, configured to acquire the placement shape information of the item to be dried;

[0153] A dynamic control parameter determination module 304, configured to determine the dynamic control parameters of the drying control model according to the placement shape information;

[0154] A collaborative control module 305, configured to output collaborative control instructions for the air guiding plates of at least two air inlets based on the space parameters and dynamic control parameters of the drying control model, and perform the drying operation.

[0155] In the embodiment of the present application, the space information acquisition module is configured to acquire the space information of the accommodation cavity of the drying device; the space parameter determination module is configured to determine the space parameters of the drying control model according to the space information, the setting positions of at least two air inlets in the accommodation cavity, and the controllable direction information of the air guiding plates of each air inlet; the placement shape information acquisition module is configured to acquire the placement shape information of the item to be dried; the dynamic control parameter determination module is configured to determine the dynamic control parameters of the drying control model according to the placement shape information; the collaborative control module is configured to output collaborative control instructions for the air guiding plates of at least two air inlets based on the space parameters and dynamic control parameters of the drying control model, and perform the drying operation. According to this technical solution, through the drying control model, combined with the characteristics of the accommodation cavity inside the drying device and information such as the placement shape of the item, reasonable air guiding control is performed on multiple air inlets of the drying device, which can not only improve the drying efficiency, save energy, but also ensure the drying effect, and can also perform rational control for different scenarios, improving the user experience.

[0156] The drying device with multi-air outlet air guiding control in the embodiments of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a handheld computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a Network Attached Storage (NAS), a personal computer (PC), a television (TV), a teller machine, or a self-service machine, etc. The embodiments of the present application do not make specific limitations.

[0157] The drying device with multi-air outlet air guiding control in the embodiments of the present application can be a device with an operating system. The operating system can be the Android operating system, the IOS operating system, or other possible operating systems. The embodiments of the present application do not make specific limitations.

[0158] The drying device with multi-air outlet air guiding control provided in the embodiments of the present application can implement each process achieved in the above-mentioned Embodiments 1 to 4. To avoid repetition, it will not be elaborated here.

[0159] Embodiment 4

[0160] As Figure 4 shown, the embodiments of the present application further provide a drying device 400, including a processor 401, a memory 402, a program or instruction stored on the memory 402 and executable on the processor 401. When the program or instruction is executed by the processor 401, it implements each process of the above-mentioned drying method embodiment with multi-air outlet air guiding control and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0161] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

[0162] Embodiment 5

[0163] The embodiments of the present application further provide a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements each process of the above-mentioned drying method embodiment with multi-air outlet air guiding control and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0164] Among them, the processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media such as computer read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs, etc.

[0165] Embodiment Six

[0166] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement each process of the drying method embodiment of the above multi-air outlet air guiding control, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0167] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0168] It should be noted that in this article, the term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article, or device including that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, the features described with reference to certain examples may be combined in other examples.

[0169] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions to enable a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0170] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the specific embodiments described above. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them fall within the protection scope of the present application.

[0171] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, more other equivalent embodiments can be included, and the scope of the present application is determined by the scope of the claims.

Claims

1. A drying method with multi-air outlet air guide control, characterized in that: The method comprises: Acquire spatial information of the receiving cavity of the drying equipment; Determine the spatial parameters of the drying control model according to the spatial information, the location of at least two air inlets in the accommodating cavity, and the controllable direction information of the air guide plate of each air inlet; Obtaining placement shape information of the items to be dried; Determining dynamic control parameters of the drying control model according to the placement shape information; Based on the spatial parameters and dynamic control parameters of the drying control model, a coordinated control instruction for the air guide plates of at least two air inlets is output to perform a drying operation.

2. The drying method with multi-air outlet air guide control according to claim 1, characterized in that: Get the placement shape information of the items to be dried, including: The image of the object to be dried in the containing cavity is acquired by an image acquisition device of the drying equipment to obtain placement shape information of the object to be dried, wherein the placement shape information includes spatial position information of the object to be dried in the containing cavity; and / or, The distance detection device of the drying equipment is used to obtain the distance data of the object to be dried in the accommodating chamber, so as to calculate the placement shape information of the object to be dried based on the distance data, wherein the placement shape information includes the spatial position information of the object to be dried in the accommodating chamber; and / or, The point cloud data of the object to be dried in the containing cavity is obtained by a point cloud scanning device of the drying equipment, so as to obtain the placement shape information of the object to be dried based on the point cloud data, wherein the placement shape information includes the spatial position information of the object to be dried in the containing cavity.

3. The drying method with multi-air outlet air guide control according to claim 1, characterized in that: The method further comprises: Obtaining the position and size of the air inlet, the controllable direction information of the air guide plate of the air inlet, and the position and size of the air outlet in the accommodating cavity; Based on the air inlet position, air inlet size, controllable direction information of the air guide plate, air outlet position and air outlet size, construct an air flow model of the accommodating cavity; Correspondingly, determining the dynamic control parameters of the drying control model according to the placement shape information includes: The dynamic control parameters of the drying control model are determined according to the air flow model and the placement shape information.

4. The drying method with multi-air outlet air guide control according to claim 3, characterized in that: Determining the dynamic control parameters of the drying control model according to the air flow model and the placement shape information includes: Fitting the path change information of the drying gas according to the air flow model and the placement shape information; The linkage control parameters of the air guide plate at the air inlet and the initial wind speed parameters of the air inlet in the drying control model are determined according to the path change information of the drying gas.

5. The drying method with multi-air outlet air guide control according to claim 1, characterized in that: Outputting coordinated control instructions for air guide plates of at least two air inlets, including: Output coordinated control instructions for the control period and / or directional phase of the air guide plates of the at least two air inlets.

6. The drying method with multi-air outlet air guide control according to claim 5, characterized in that: Before outputting the coordinated control instruction for the control period and / or directional phase of the air guide plates of the at least two air inlets, the method further includes: Determining, based on a preset amount of historical training data, a coordinated control parameter that maximizes the energy efficiency of the drying control model; Accordingly, outputting a coordinated control instruction for controlling the control period and / or direction phase of the air guide plates of the at least two air inlets includes: Based on the collaborative control parameters, a collaborative control instruction for controlling the control period and / or directional phase of the air guide plates of the at least two air inlets is output.

7. The drying method with multi-air outlet air guide control according to claim 5, characterized in that: Before outputting the coordinated control instruction for the control period and / or directional phase of the air guide plates of the at least two air inlets, the method further includes: Determining, based on a preset amount of historical training data, a coordinated control parameter that maximizes the wind force of the drying control model; Accordingly, outputting a coordinated control instruction for controlling the control period and / or direction phase of the air guide plates of the at least two air inlets includes: Based on the collaborative control parameters, a collaborative control instruction for controlling the control period and / or directional phase of the air guide plates of the at least two air inlets is output.

8. A drying device with multi-air outlet air guide control, characterized in that: The device comprises: A spatial information acquisition module, used to acquire spatial information of the containing cavity of the drying equipment; A space parameter determination module, used to determine the space parameters of the drying control model according to the space information, the location of at least two air inlets in the accommodating cavity and the controllable direction information of the air guide plate of each air inlet; A placement shape information acquisition module is used to acquire placement shape information of the items to be dried; A dynamic control parameter determination module, used to determine the dynamic control parameters of the drying control model according to the placement shape information; The collaborative control module is used to output collaborative control instructions for the air guide plates of at least two air inlets based on the spatial parameters and dynamic control parameters of the drying control model to perform a drying operation.

9. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the drying method with multi-air outlet air guide control as described in any one of claims 1 to 7 are implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the drying method with multi-air outlet air guide control as described in any one of claims 1-7 are implemented.

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