Wind speed adjustment method and apparatus, readable storage medium, and fan device

Abstract

A wind speed adjustment method and apparatus, a readable storage medium, and a fan device (200). The wind speed adjustment method is applied to the fan device (200), and the fan device (200) comprises: a number N of sensors (204) and a fan (208), the N sensors (204) being used to collect N environmental parameters, and N being an integer greater than 1. The wind speed adjustment method comprises: acquiring N environmental parameters; on the basis of the N environmental parameters, determining N operating wind speeds, the N operating wind speeds corresponding one-to-one to the N environmental parameters; on the basis of the N operating wind speeds, determining a target wind speed; and on the basis of the target wind speed, controlling the fan (208) to operate. The fan (208) can take into account the environmental parameters collected by the multiple sensors (204), enabling the fan device (200) to take into consideration control requirements of various different functions, thus ensuring that the fan operates at a relatively good running wind speed.

Description

Wind speed adjustment method, device, readable storage medium and fan equipment

[0001] This application claims priority to the Chinese patent application filed with the State Intellectual Property Office of China on December 28, 2023, with application number "202311840615.0" and application name "Wind speed adjustment method, device, readable storage medium and fan device", the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of fan technology, and in particular to a wind speed adjustment method, device, readable storage medium and fan equipment. Background Art

[0003] Fans are essential household appliances for most users. With the development of technology, more and more functions are integrated into fans. For example, humidification, air purification, and temperature control functions have become essential technical requirements for many high-end fan products.

[0004] In the related art, when different functions are turned on, the operating speed of the fan is controlled independently, which makes it impossible to take into account multiple different functions.

[0005] Application Contents

[0006] This application aims to solve one of the technical problems existing in the prior art or related technologies.

[0007] To this end, the first aspect of the present application proposes a wind speed adjustment method.

[0008] A second aspect of the present application provides a wind speed adjustment device.

[0009] The third aspect of the present application provides a wind speed adjustment device.

[0010] A fourth aspect of the present application provides a readable storage medium.

[0011] A fifth aspect of the present application provides a fan device.

[0012] In view of this, according to a first aspect of the present application, a wind speed adjustment method is proposed, which is applied to a fan device. The fan device includes: N sensors and a fan. The N sensors are used to collect N environmental parameters, where N is an integer greater than 1. The wind speed adjustment method includes:

[0013] Get N environmental parameters;

[0014] According to N environmental parameters, N operating wind speeds are determined, and the N operating wind speeds correspond one to one with the N environmental parameters;

[0015] Determine the target wind speed based on N operating wind speeds;

[0016] Control the fan to run at the target wind speed.

[0017] In this technical solution, the N environmental parameters are parameters collected by N sensors in the fan device. N sensors are set in the fan device, and the N sensors can collect different environmental parameters. The N sensors are connected to the control system of the fan device, and the control system can read the N environmental parameters collected by the N sensors. According to the N environmental parameters, the corresponding N operating wind speeds can be determined, wherein each environmental parameter corresponds to an operating wind speed. The wind speed gear is matched with the ambient temperature, and the wind speed gear is set to 24 wind speed gears. The temperature range required to be collected by the temperature sensor of the fan device is 0℃ to 45℃, by matching the 24 wind speed gears with the temperature range of 0℃ to 45℃ one by one.

[0018] The wind speed gear is set to 24 wind speed gears, and the humidity range collected by the humidity sensor of the fan equipment is required to be 1% to 100%. The 24 wind speed gears are matched one by one with the humidity range from 1% to 100%.

[0019] Matching wind speed levels with PM2.5 data: The wind speed level is set to 24 levels. The PM2.5 data range collected by the PM2.5 sensor used in the fan application is required to be 1 to 999. The PM2.5 data ranges of the 24 wind speed levels 1 to 999 are matched one by one.

[0020] In this technical solution, after determining N operating wind speeds corresponding to N environmental parameters, the target wind speed can be determined through the N operating wind speeds, and the wind turbine can be controlled to operate according to the target wind speed.

[0021] Specifically, the control system of the fan equipment can obtain multiple different environmental parameters collected by multiple sensors, determine corresponding different operating wind speeds based on different environmental parameters, and after determining multiple operating wind speeds, integrate multiple operating wind speeds to obtain the target wind speed of the fan operation, so that the fan can operate at a better operating wind speed.

[0022] In the technical solution of the present application, by setting multiple sensors on the fan equipment, and when the multiple sensors collect multiple different environmental parameters, the operating wind speed corresponding to each environmental parameter can be determined, and the target operating wind speed of the fan can be determined by combining the multiple operating wind speeds, so that the fan can take into account the environmental parameters collected by multiple sensors, so that the fan equipment can take into account the control requirements of multiple different functions, ensuring that the fan runs at a better operating wind speed.

[0023] In some technical solutions, optionally, determining the target wind speed based on N operating wind speeds includes:

[0024] According to the numerical relationship of N operating wind speeds, M first wind speeds are extracted from the N operating wind speeds, where M=N-2;

[0025] A target wind speed is determined based on the M first wind speeds.

[0026] In this technical solution, after obtaining N operating wind speeds, numerical comparisons are performed on the N operating wind speeds to determine the numerical relationship between the N operating wind speeds. This numerical relationship includes, for example, the magnitude relationship of the N operating wind speeds. Based on this numerical relationship, M first wind speeds are extracted from the N operating wind speeds, and the final target wind speed is determined based on these M first wind speeds.

[0027] It should be noted that N is a positive integer greater than 3.

[0028] For example, the number of operating wind speeds is 5, and the number of first wind speeds is 3. The wind speeds of the 3 first wind speeds are averaged, and the calculation result is determined as the target wind speed.

[0029] In the technical solution of the present application, by extracting the first wind speed from multiple operating wind speeds and determining the target wind speed based on the extracted first wind speed, the wind speed that is significantly different from the first wind speed from the multiple operating wind speeds can be removed, thereby improving the matching of the generated target wind speed with the environmental parameters collected by multiple sensors, and further ensuring that the fan equipment can control the wind speed while taking into account a variety of different environmental parameters.

[0030] In some technical solutions, optionally, based on the numerical relationship of the N operating wind speeds, M first wind speeds are extracted from the N operating wind speeds, including: determining the maximum wind speed and the minimum wind speed among the N operating wind speeds based on the numerical relationship of the N operating wind speeds; deleting the maximum wind speed and the minimum wind speed to obtain M first wind speeds.

[0031] In this technical solution, the maximum wind speed and the minimum wind speed among the N operating wind speeds can be determined through the numerical relationship between the N operating wind speeds, and the maximum wind speed and the minimum wind speed among the N operating wind speeds can be removed to obtain M first wind speeds among the N operating wind speeds.

[0032] For example, the wind speed level for matching the ambient temperature is 10, the wind speed level for matching the ambient humidity is 12, the wind speed level for matching the PM2.5 parameter is 10, the wind speed level for matching the PM10 parameter is 10, and the wind speed level for matching the carbon dioxide concentration parameter is 5. Excluding the maximum wind speed of 12 and the minimum wind speed of 5, the wind speeds corresponding to the remaining three wind speed levels are averaged to obtain a target wind speed of 10.

[0033] In the technical solution of the present application, by removing the maximum wind speed and the minimum wind speed from the N operating wind speeds, the accuracy of extracting M first wind speeds from the N operating wind speeds can be improved, so that the gap between the extracted M first wind speeds is smaller, thereby further improving the matching of the target wind speed generated according to the M first wind speeds with multiple environmental parameters.

[0034] In some technical solutions, optionally, determining the target wind speed based on N operating wind speeds includes:

[0035] Determine P first parameters among N environmental parameters, where the first parameters are within a preset parameter range, and P is a positive integer;

[0036] Determine Q third wind speeds among the N operating wind speeds according to the N environmental parameters and the P first parameters, where Q=NP;

[0037] The target wind speed is determined based on the Q third wind speeds.

[0038] In this technical solution, the first parameter is a parameter in the environmental parameters that is within the preset parameter range, and the preset parameter range is the target parameter range set by the user, that is, the first parameter is within the preset parameter range, and it can be determined that the parameter does not need further adjustment. Therefore, P first parameters are removed from N environmental parameters to obtain Q third parameters, and the operating wind speeds corresponding to the Q third parameters are determined as Q third wind speeds.

[0039] For example, the N environmental parameters include ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration. If the ambient temperature is within a preset temperature range and the PM2.5 is within a preset PM2.5 range, the target wind speed is determined based on the operating wind speed corresponding to the collected ambient humidity, PM10, and nitrogen dioxide concentration, while removing the ambient temperature and PM2.5.

[0040] In this technical solution, after obtaining Q third wind speeds, an average of the Q third wind speeds is calculated, and the calculated wind speed average is determined as the target wind speed.

[0041] For example, the wind speed level that matches the ambient temperature is level 10, the wind speed level that matches the ambient humidity is level 12, the wind speed level that matches PM2.5 is level 4, the wind speed level that matches PM10 is level 2, and the wind speed level that matches the carbon dioxide concentration is level 3. That is, under conditions of excellent air quality (that is, PM2.5, PM10 and carbon dioxide concentrations are within the preset parameter range), the system automatically discards the wind speed level that matches the air quality data, and determines the wind speed level that matches the ambient temperature and ambient humidity as the third wind speed. The average of the two third wind speeds is solved to obtain a target wind speed of level 11.

[0042] In the technical solution of the present application, P first parameters within the preset parameter range are removed from N environmental parameters, and only Q third parameters are retained. The target wind speed is generated based on the Q third wind speeds corresponding to the Q third parameters, so that the fan device only sets the target wind speed based on the environmental parameters that are not within the preset parameter range, thereby avoiding the influence of environmental parameters that are already within the preset parameter range on the determined target wind speed, and improving the matching of the environmental parameters that are not within the preset parameter range when operating according to the target wind speed.

[0043] In some technical solutions, optionally, determining the target wind speed based on N operating wind speeds includes:

[0044] Get N weight coefficients corresponding to N environmental parameters;

[0045] According to N weight coefficients, the weighted average of the N operating wind speeds is calculated to obtain the target wind speed.

[0046] In this technical solution, N environmental parameters correspond to N weight coefficients, wherein the N weight coefficients are associated with the operating mode set by the user or the default operating mode of the control system.

[0047] It should be noted that the weight coefficient may be a default weight coefficient of the control system, and may also be set by the user for different environmental parameters according to actual needs.

[0048] For example, if the user sets the mode to the temperature adjustment mode, the weight coefficient of the ambient temperature is set higher, and the weight coefficients of other environmental parameters are set lower.

[0049] For example, if the user sets the mode to humidity control mode, the weight coefficient of the ambient humidity is set higher, and the weight coefficients of other environmental parameters are set lower.

[0050] In this technical solution, after determining N weight coefficients, a weighted mean of N operating wind speeds is calculated using the N weight coefficients, and the calculated result is determined as the target wind speed.

[0051] Exemplarily, the weight coefficient ranges from 0 to 99%.

[0052] For example, the wind speed level for matching ambient temperature is level 15, the wind speed level for matching ambient humidity is level 12, the wind speed level for matching PM2.5 is level 6, the wind speed level for matching PM10 is level 2, and the wind speed level for matching carbon dioxide concentration is level 3, wherein the weight coefficient corresponding to ambient temperature is 30%, the weight coefficient corresponding to ambient humidity is 20%, the weight coefficient corresponding to PM2.5 is 25%, the weight coefficient corresponding to PM10 is 15%, and the weight coefficient corresponding to carbon dioxide concentration is 10%. The target wind speed is calculated by the following equation (1): SP target = SP temperature × 30% + SP humidity × 20% + SPPM2.5 × 25% + SPPM10 × 15% + SPCO2 × 15%; (1)

[0053] Among them, SP target is the target wind speed, SP temperature is the operating wind speed corresponding to the ambient temperature, SP humidity is the operating wind speed corresponding to the ambient humidity, SPPM2.5 is the operating wind speed corresponding to PM2.5, SPPM10 is the operating wind speed corresponding to PM10, and SPCO2 is the operating wind speed corresponding to the carbon dioxide concentration.

[0054] In the technical solution of the present application, when the fan is operating in a preset operating mode, N weight information corresponding to the N environmental parameter configurations in the preset operating mode are obtained, and then the weighted mean of the N operating wind speeds is calculated using N weight coefficients to obtain the target wind speed, so that the final target wind speed matches the operating mode of the fan device.

[0055] In some technical solutions, optionally, determining the target wind speed based on N operating wind speeds includes:

[0056] In response to the mode setting instruction, determining X second parameters among the N environmental parameters, where X is a positive integer;

[0057] Determine X fourth wind speeds among the N operating wind speeds according to the X second parameters, where the X fourth wind speeds correspond one-to-one to the X second parameters;

[0058] The target wind speed is determined based on the X fourth wind speeds.

[0059] In this technical solution, the mode setting instruction is used to set the operating mode of the fan device. Different operating modes correspond to different X second parameters among N environmental parameters. X fourth wind speeds among N operating wind speeds can be determined through the X second parameters, and the target wind speed is generated based on the X fourth wind speeds.

[0060] It should be noted that the number of second parameters corresponding to different operating modes may be the same or different, and the second parameters corresponding to different operating modes may be the same environmental parameters or different environmental parameters.

[0061] For example, the environmental parameters include: ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration. In temperature and humidity adjustment mode, the X second parameters include ambient humidity and ambient temperature. In air purification mode, the X second parameters include PM2.5, PM10, and carbon dioxide concentration.

[0062] In the technical solution of this application, the operating mode of the fan device set by the user can be determined based on the mode setting instruction, and X second parameters from the N environmental parameters are determined based on the operating mode. The target wind speed calculated based on the X fourth wind speeds corresponding to the X second parameters improves the compatibility with the operating mode set by the user.

[0063] In some technical solutions, optionally, determining the target wind speed based on the X fourth wind speeds includes: determining a maximum value or an average value of the X fourth wind speeds as the target wind speed.

[0064] In this technical solution, since the X fourth wind speeds are the operating wind speeds corresponding to the X second parameters, and the X second parameters match the operating mode set by the user, the maximum value or average value of the X fourth wind speeds can be selected as the target wind speed, thereby improving the matching of the target wind speed and the operating mode.

[0065] Exemplarily, the user sets the optimal wind speed level based on the air quality data through an application or a control panel of the fan device, that is, the control system automatically removes the wind speed level that matches the ambient temperature and the wind speed level that matches the ambient humidity, and uses the air quality data to deduce the optimal wind speed level, for example: the wind speed level that matches PM2.5 is 10, the wind speed level that matches PM10 is 12, and the wind speed level that matches carbon dioxide is 5. For example: the system determines that the target wind speed level is 12, that is, the highest wind speed level is used to accelerate air purification. For another example: the system determines that the target wind speed level is 9, that is, the average level of the wind speed level that matches PM2.5, the wind speed level that matches PM10, and the wind speed level that matches carbon dioxide.

[0066] In the technical solution of the present application, by selecting the maximum value or average value of the X fourth wind speeds as the target wind speed, the matching of the target wind speed and the operation mode is improved.

[0067] In some technical solutions, optionally, determining N operating wind speeds based on N environmental parameters includes:

[0068] Obtain N wind speed mapping relationships corresponding to N environmental parameters;

[0069] N operating wind speeds are determined according to a mapping relationship between N environmental parameters and N wind speeds.

[0070] In this technical solution, different environmental parameters correspond to different wind speed mapping relationships. After obtaining N environmental parameters, the corresponding N operating wind speeds can be obtained through the N wind speed mapping relationships, thereby determining the operating wind speeds corresponding to different environmental parameters.

[0071] In the technical solution of the present application, by setting different wind speed mapping relationships for different environmental parameters, the accuracy of the operating wind speed determined by each different environmental parameter and the difference between the N operating wind speeds determined by N environmental parameters can be ensured, thereby further improving the matching of the target wind speed with multiple environmental parameters.

[0072] In some technical solutions, optionally, the N environmental parameters include at least one of the following: ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration.

[0073] In this technical solution, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, a PM2.5 sensor, a PM10 sensor, and a carbon dioxide sensor.

[0074] Among them, the ambient temperature is collected by the temperature sensor, the ambient humidity is collected by the humidity sensor, PM2.5 is collected by the PM2.5 sensor, PM10 is collected by the PM10 sensor, and the carbon dioxide concentration is collected by the carbon dioxide sensor.

[0075] In the technical solution of the present application, corresponding environmental parameters are collected by corresponding sensors, which can improve the accuracy of the N environmental parameters obtained, thereby improving the accuracy of determining the target wind speed.

[0076] According to a second aspect of the present application, a wind speed adjustment device is provided, which is applied to a fan device. The fan device includes: N sensors and a fan. The N sensors are used to collect N environmental parameters, where N is an integer greater than 1. The wind speed adjustment device includes:

[0077] Acquisition module, used to obtain N environmental parameters;

[0078] A determination module is used to determine N operating wind speeds according to N environmental parameters, where the N operating wind speeds correspond one to one with the N environmental parameters;

[0079] A determination module, for determining a target wind speed based on N operating wind speeds;

[0080] The control module is used to control the fan to operate according to the target wind speed.

[0081] In the technical solution of the present application, by setting multiple sensors on the fan equipment, and when the multiple sensors collect multiple different environmental parameters, the operating wind speed corresponding to each environmental parameter can be determined, and the target operating wind speed of the fan can be determined by combining the multiple operating wind speeds, so that the fan can take into account the environmental parameters collected by multiple sensors, so that the fan equipment can take into account the control requirements of multiple different functions, ensuring that the fan runs at a better operating wind speed.

[0082] According to the third aspect of the present application, a wind speed adjustment device is proposed, comprising: a memory, in which a program or instruction is stored; a processor, which executes the program or instruction stored in the memory to implement the steps of the wind speed adjustment method in any technical solution in the first aspect, thereby having all the beneficial technical effects of the wind speed adjustment method in any technical solution in the first aspect above, and no further details will be given here.

[0083] According to a fourth aspect of the present application, a readable storage medium is provided. The readable storage medium stores a program or instructions. When executed by a processor, the program or instructions implement the steps of the wind speed adjustment method described in any of the technical solutions described in the first aspect. Therefore, all the beneficial technical effects of the wind speed adjustment method described in any of the technical solutions described in the first aspect are achieved, and further details are omitted here.

[0084] According to the fifth aspect of the present application, a fan device is proposed, including: a wind speed adjustment device as described in the second or third aspect above, and / or a readable storage medium as described in the fourth aspect above. Therefore, the fan device has the wind speed adjustment device as described in the second or third aspect above, and / or the readable storage medium as described in the fourth aspect above, and no further details will be given here.

[0085] In some technical solutions, optionally, the fan device also includes: a shell, in which an air duct is arranged; N sensors, arranged in the shell, for collecting N environmental parameters, where N is an integer greater than 1; and a fan, arranged in the shell and connected to the air duct.

[0086] In the technical solution of the present application, corresponding environmental parameters can be collected by arranging multiple sensors in the fan device, which facilitates the subsequent adjustment and control of the target wind speed based on the environmental parameters.

[0087] In some technical solutions, optionally, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, a PM2.5 sensor, a PM10 sensor, and a carbon dioxide sensor.

[0088] In this technical solution, the ambient temperature is collected by a temperature sensor, the ambient humidity is collected by a humidity sensor, PM2.5 is collected by a PM2.5 sensor, PM10 is collected by a PM10 sensor, and the carbon dioxide concentration is collected by a carbon dioxide sensor.

[0089] Additional aspects and advantages of the present application will become apparent in the following description or may be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0091] FIG1 shows one of the flow charts of the wind speed adjustment method provided in some embodiments of the present application;

[0092] FIG2 is a schematic structural diagram of a fan device provided in some embodiments of the present application;

[0093] FIG3 shows a second flow chart of the wind speed adjustment method provided in some embodiments of the present application;

[0094] FIG4 shows one of the structural block diagrams of the wind speed adjustment device provided in some embodiments of the present application;

[0095] FIG5 shows a second structural block diagram of the wind speed adjustment device provided in some embodiments of the present application.

[0096] The reference numerals in FIG2 are as follows:

[0097] 200 fan device, 202 housing, 204 sensor, 206 air duct, 208 fan. DETAILED DESCRIPTION

[0098] In order to more clearly understand the above-mentioned objectives, features and advantages of the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the features of this embodiment and the embodiments can be combined with each other.

[0099] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present application is not limited to the specific embodiments disclosed below.

[0100] The following describes a wind speed adjustment method, apparatus, readable storage medium, and fan device according to some embodiments of the present application with reference to FIG. 1 to FIG. 5 .

[0101] According to a wind speed adjustment method provided in one embodiment of the present application, which is applied to a fan device, the fan device includes: N sensors and a fan, the N sensors are used to collect N environmental parameters, where N is an integer greater than 1. FIG1 shows one of the flow charts of the wind speed adjustment method provided in some embodiments of the present application. As shown in FIG1 , a wind speed adjustment method is proposed, including:

[0102] Step 102, obtaining N environmental parameters;

[0103] In this embodiment, the N environmental parameters are parameters collected by N sensors in the fan device. The N sensors are provided in the fan device, and the N sensors can collect different environmental parameters.

[0104] Figure 2 shows a schematic diagram of the structure of a fan device provided in some embodiments of the present application. As shown in Figure 2, the fan device 200 includes a housing 202, a fan 208, and N sensors 204. The housing 202 is provided with an air duct 206, the fan 208 is disposed in the air duct 206, and the N sensors 204 can be disposed at different positions of the fan device 200.

[0105] Exemplarily, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, a PM2.5 (particulate matter with a particle size of less than or equal to 2.5 microns) sensor, a PM10 (particulate matter with a particle size of less than or equal to 10 microns) sensor, and a carbon dioxide sensor.

[0106] In this embodiment, N sensors are connected to a control system of the fan device, and the control system can read N environmental parameters collected by the N sensors.

[0107] Step 104, determining N operating wind speeds based on the N environmental parameters, where the N operating wind speeds correspond one-to-one to the N environmental parameters;

[0108] In this embodiment, corresponding N operating wind speeds can be determined according to N environmental parameters, wherein each environmental parameter corresponds to one operating wind speed.

[0109] Step 106, determining a target wind speed based on the N operating wind speeds;

[0110] For example, the fan device may be divided into 12 wind speed gears, 24 wind speed gears, 36 wind speed gears, or another number of wind speed gears, by combining the lowest speed and the highest speed. Specifically, the fan device may be divided into 12 wind speed gears, 24 wind speed gears, 36 wind speed gears, or another number of wind speed gears, as follows:

[0111] The wind speed level is matched with the ambient temperature. There are 24 wind speed levels. The temperature range collected by the temperature sensor of the fan device is required to be 0℃ to 45℃. The 24 wind speed levels are matched one by one with the temperature range of 0℃ to 45℃.

[0112] The wind speed gear is set to 24 wind speed gears, and the humidity range collected by the humidity sensor of the fan equipment is required to be 1% to 100%. The 24 wind speed gears are matched one by one with the humidity range from 1% to 100%.

[0113] Matching wind speed levels with PM2.5 data: The wind speed level is set to 24 levels. The PM2.5 data range collected by the PM2.5 sensor used in the fan application is required to be 1 to 999. The PM2.5 data ranges of the 24 wind speed levels 1 to 999 are matched one by one.

[0114] Step 108: Control the wind turbine to operate at the target wind speed.

[0115] In this embodiment, after N operating wind speeds corresponding to N environmental parameters are determined, the target wind speed can be determined based on the N operating wind speeds, and the wind turbine is controlled to operate at the target wind speed.

[0116] Specifically, the control system of the fan equipment can obtain multiple different environmental parameters collected by multiple sensors, determine corresponding different operating wind speeds based on different environmental parameters, and after determining multiple operating wind speeds, integrate multiple operating wind speeds to obtain the target wind speed of the fan operation, so that the fan can operate at a better operating wind speed.

[0117] In an embodiment of the present application, by setting multiple sensors on the fan equipment, and when the multiple sensors collect multiple different environmental parameters, the operating wind speed corresponding to each environmental parameter can be determined, and the target operating wind speed of the fan can be determined by combining the multiple operating wind speeds, so that the fan can take into account the environmental parameters collected by multiple sensors, thereby enabling the fan equipment to take into account the control requirements of multiple different functions, ensuring that the fan runs at a better operating wind speed.

[0118] In some embodiments, optionally, determining the target wind speed based on N operating wind speeds includes:

[0119] According to the numerical relationship of N operating wind speeds, M first wind speeds are extracted from the N operating wind speeds, where M=N-2;

[0120] A target wind speed is determined based on the M first wind speeds.

[0121] In this embodiment, after obtaining N operating wind speeds, numerical comparisons are performed on the N operating wind speeds to determine a numerical relationship between the N operating wind speeds. This numerical relationship includes, for example, a magnitude relationship between the N operating wind speeds. Based on this numerical relationship, M first wind speeds are extracted from the N operating wind speeds, and a final target wind speed is determined based on the M first wind speeds.

[0122] It should be noted that N is a positive integer greater than 3.

[0123] For example, the number of operating wind speeds is 5, and the number of first wind speeds is 3. The wind speeds of the 3 first wind speeds are averaged, and the calculation result is determined as the target wind speed.

[0124] In an embodiment of the present application, by extracting the first wind speed from multiple operating wind speeds and determining the target wind speed based on the extracted first wind speed, the wind speeds that are significantly different from the first wind speed from the multiple operating wind speeds can be removed, thereby improving the matching of the generated target wind speed with the environmental parameters collected by multiple sensors, and further ensuring that the fan equipment can control the wind speed while taking into account a variety of different environmental parameters.

[0125] In some embodiments, optionally, based on the numerical relationship of the N operating wind speeds, M first wind speeds among the N operating wind speeds are extracted, including: determining the maximum wind speed and the minimum wind speed among the N operating wind speeds based on the numerical relationship of the N operating wind speeds; deleting the maximum wind speed and the minimum wind speed to obtain M first wind speeds.

[0126] In this embodiment, the maximum wind speed and the minimum wind speed among the N operating wind speeds can be determined through the numerical relationship between the N operating wind speeds, and the maximum wind speed and the minimum wind speed among the N operating wind speeds are removed to obtain M first wind speeds among the N operating wind speeds.

[0127] For example, the wind speed level for matching the ambient temperature is 10, the wind speed level for matching the ambient humidity is 12, the wind speed level for matching the PM2.5 parameter is 10, the wind speed level for matching the PM10 parameter is 10, and the wind speed level for matching the carbon dioxide concentration parameter is 5. Excluding the maximum wind speed of 12 and the minimum wind speed of 5, the wind speeds corresponding to the remaining three wind speed levels are averaged to obtain a target wind speed of 10.

[0128] In an embodiment of the present application, by removing the maximum wind speed and the minimum wind speed from the N operating wind speeds, the accuracy of extracting M first wind speeds from the N operating wind speeds can be improved, so that the gap between the extracted M first wind speeds is smaller, thereby further improving the matching of the target wind speed generated according to the M first wind speeds with multiple environmental parameters.

[0129] In some embodiments, optionally, determining the target wind speed based on N operating wind speeds includes:

[0130] Determine P first parameters among N environmental parameters, where the first parameters are within a preset parameter range, and P is a positive integer;

[0131] Determine Q third wind speeds among the N operating wind speeds according to the N environmental parameters and the P first parameters, where Q=NP;

[0132] The target wind speed is determined based on the Q third wind speeds.

[0133] In this embodiment, the first parameter is a parameter in the environmental parameters that is within the preset parameter range, and the preset parameter range is the target parameter range set by the user, that is, the first parameter is within the preset parameter range, and it can be determined that the parameter does not need further adjustment. Therefore, P first parameters are removed from N environmental parameters to obtain Q third parameters, and the operating wind speeds corresponding to the Q third parameters are determined as Q third wind speeds.

[0134] For example, the N environmental parameters include ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration. If the ambient temperature is within a preset temperature range and the PM2.5 is within a preset PM2.5 range, the target wind speed is determined based on the operating wind speed corresponding to the collected ambient humidity, PM10, and nitrogen dioxide concentration, while removing the ambient temperature and PM2.5.

[0135] In this embodiment, after the Q third wind speeds are obtained, an average of the Q third wind speeds is calculated, and the calculated wind speed average is determined as the target wind speed.

[0136] For example, the wind speed level that matches the ambient temperature is level 10, the wind speed level that matches the ambient humidity is level 12, the wind speed level that matches PM2.5 is level 4, the wind speed level that matches PM10 is level 2, and the wind speed level that matches the carbon dioxide concentration is level 3. That is, under conditions of excellent air quality (that is, PM2.5, PM10 and carbon dioxide concentrations are within the preset parameter range), the system automatically discards the wind speed level that matches the air quality data, and determines the wind speed level that matches the ambient temperature and ambient humidity as the third wind speed. The average of the two third wind speeds is solved to obtain a target wind speed of level 11.

[0137] In an embodiment of the present application, P first parameters within the preset parameter range are removed from N environmental parameters, and only Q third parameters are retained. The target wind speed is generated based on the Q third wind speeds corresponding to the Q third parameters, so that the fan device only sets the target wind speed based on the environmental parameters that are not within the preset parameter range, thereby avoiding the environmental parameters that are already within the preset parameter range from affecting the determined target wind speed, and improving the matching of the environmental parameters that are not within the preset parameter range when operating according to the target wind speed.

[0138] In some embodiments, optionally, determining the target wind speed based on N operating wind speeds includes:

[0139] Get N weight coefficients corresponding to N environmental parameters;

[0140] According to N weight coefficients, the weighted average of the N operating wind speeds is calculated to obtain the target wind speed.

[0141] In this embodiment, N environmental parameters correspond to N weight coefficients, wherein the N weight coefficients are associated with an operating mode set by a user or a default operating mode of the control system.

[0142] It should be noted that the weight coefficient may be a default weight coefficient of the control system, and may also be set by the user for different environmental parameters according to actual needs.

[0143] For example, if the user sets the mode to the temperature adjustment mode, the weight coefficient of the ambient temperature is set higher, and the weight coefficients of other environmental parameters are set lower.

[0144] For example, if the user sets the mode to humidity control mode, the weight coefficient of the ambient humidity is set higher, and the weight coefficients of other environmental parameters are set lower.

[0145] In this embodiment, after determining N weight coefficients, a weighted average calculation is performed on the N operating wind speeds using the N weight coefficients, and the obtained calculation result is determined as the target wind speed.

[0146] Exemplarily, the weight coefficient ranges from 0 to 99%.

[0147] For example, the wind speed level for ambient temperature matching is level 15, the wind speed level for ambient humidity matching is level 12, the wind speed level for PM2.5 matching is level 6, the wind speed level for PM10 matching is level 2, and the wind speed level for carbon dioxide concentration matching is level 3. The weight coefficient corresponding to ambient temperature is 30%, the weight coefficient corresponding to ambient humidity is 20%, the weight coefficient corresponding to PM2.5 is 25%, the weight coefficient corresponding to PM10 is 15%, and the weight coefficient corresponding to carbon dioxide concentration is 10%. The target wind speed is calculated by the following equation (1):

[0148] SP target = SP temperature × 30% + SP humidity × 20% + SPPM2.5 × 25% + SPPM10 × 15% + SPCO2 × 15%; (1)

[0149] Among them, SP target is the target wind speed, SP temperature is the operating wind speed corresponding to the ambient temperature, SP humidity is the operating wind speed corresponding to the ambient humidity, SPPM2.5 is the operating wind speed corresponding to PM2.5, SPPM10 is the operating wind speed corresponding to PM10, and SPCO2 is the operating wind speed corresponding to the carbon dioxide concentration.

[0150] In an embodiment of the present application, when the fan is operating in a preset operating mode, N weight information corresponding to the N environmental parameter configurations in the preset operating mode are obtained, and then the weighted mean of the N operating wind speeds is calculated using N weight coefficients to obtain the target wind speed, so that the final target wind speed matches the operating mode of the fan device.

[0151] In some embodiments, optionally, determining the target wind speed based on N operating wind speeds includes:

[0152] In response to the mode setting instruction, determining X second parameters among the N environmental parameters, where X is a positive integer;

[0153] Determine X fourth wind speeds among the N operating wind speeds according to the X second parameters, where the X fourth wind speeds correspond one-to-one to the X second parameters;

[0154] The target wind speed is determined based on the X fourth wind speeds.

[0155] In this embodiment, the mode setting instruction is used to set the operating mode of the fan device. Different operating modes correspond to different X second parameters among N environmental parameters. X fourth wind speeds among N operating wind speeds can be determined by the X second parameters, and the target wind speed is generated based on the X fourth wind speeds.

[0156] It should be noted that the number of second parameters corresponding to different operating modes may be the same or different, and the second parameters corresponding to different operating modes may be the same environmental parameters or different environmental parameters.

[0157] For example, the environmental parameters include: ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration. In temperature and humidity adjustment mode, the X second parameters include ambient humidity and ambient temperature. In air purification mode, the X second parameters include PM2.5, PM10, and carbon dioxide concentration.

[0158] In this embodiment of the present application, the operating mode of the fan device set by the user can be determined based on the mode setting instruction, and X second parameters from the N environmental parameters are determined based on the operating mode. The target wind speed calculated based on the X fourth wind speeds corresponding to the X second parameters improves compatibility with the operating mode set by the user.

[0159] In some embodiments, optionally, determining the target wind speed based on the X fourth wind speeds includes: determining a maximum value or an average value of the X fourth wind speeds as the target wind speed.

[0160] In this embodiment, since the X fourth wind speeds are the operating wind speeds corresponding to the X second parameters, and the X second parameters match the operating mode set by the user, the maximum value or average value of the X fourth wind speeds can be selected as the target wind speed, thereby improving the matching of the target wind speed and the operating mode.

[0161] Exemplarily, the user sets the optimal wind speed level based on the air quality data through an application or a control panel of the fan device, that is, the control system automatically removes the wind speed level that matches the ambient temperature and the wind speed level that matches the ambient humidity, and uses the air quality data to deduce the optimal wind speed level, for example: the wind speed level that matches PM2.5 is 10, the wind speed level that matches PM10 is 12, and the wind speed level that matches carbon dioxide is 5. For example: the system determines that the target wind speed level is 12, that is, the highest wind speed level is used to accelerate air purification. For another example: the system determines that the target wind speed level is 9, that is, the average level of the wind speed level that matches PM2.5, the wind speed level that matches PM10, and the wind speed level that matches carbon dioxide.

[0162] In the embodiment of the present application, by selecting the maximum value or average value of the X fourth wind speeds as the target wind speed, the matching of the target wind speed and the operation mode is improved.

[0163] In some embodiments, optionally, determining N operating wind speeds according to N environmental parameters includes:

[0164] Obtain N wind speed mapping relationships corresponding to N environmental parameters;

[0165] N operating wind speeds are determined according to a mapping relationship between N environmental parameters and N wind speeds.

[0166] In this embodiment, different environmental parameters correspond to different wind speed mapping relationships. After obtaining N environmental parameters, the corresponding N operating wind speeds can be obtained through the N wind speed mapping relationships, thereby determining the operating wind speeds corresponding to different environmental parameters.

[0167] In an embodiment of the present application, by setting different wind speed mapping relationships for different environmental parameters, the accuracy of the operating wind speed determined by each different environmental parameter and the difference between the N operating wind speeds determined by N environmental parameters can be ensured, thereby further improving the matching of the target wind speed with multiple environmental parameters.

[0168] In some embodiments, optionally, the N environmental parameters include at least one of the following: ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration.

[0169] In this embodiment, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, a PM2.5 sensor, a PM10 sensor, and a carbon dioxide sensor.

[0170] Among them, the ambient temperature is collected by the temperature sensor, the ambient humidity is collected by the humidity sensor, PM2.5 is collected by the PM2.5 sensor, PM10 is collected by the PM10 sensor, and the carbon dioxide concentration is collected by the carbon dioxide sensor.

[0171] In the embodiment of the present application, by collecting corresponding environmental parameters through corresponding sensors, the accuracy of the N environmental parameters obtained can be improved, thereby improving the accuracy of determining the target wind speed.

[0172] FIG3 shows a second flow chart of a wind speed adjustment method provided in some embodiments of the present application. As shown in FIG3 , a wind speed adjustment method is proposed, including:

[0173] Step 302, turning on smart mode;

[0174] Step 304: Acquire environmental parameters collected by the sensor;

[0175] Step 306, matching the operating wind speed based on the environmental parameters;

[0176] Step 308, determine whether it is the mode set by the user, if the judgment result is yes, go to step 310, if the judgment result is no, go to step 312;

[0177] Step 310, determining the target wind speed according to the user setting;

[0178] In this embodiment, after receiving a mode setting instruction from the user, X second parameters among the N environmental parameters are determined, and the target wind speed is determined based on the X fourth wind speeds corresponding to the X second parameters.

[0179] Step 312, determine whether the air quality is good. If the judgment result is no, go to step 314. If the judgment result is yes, go to step 316.

[0180] Step 314, determining a target wind speed based on environmental parameters;

[0181] In this embodiment, the maximum wind speed and the minimum wind speed among the N operating wind speeds are removed, and the average value of the remaining operating wind speeds is calculated as the target wind speed.

[0182] In this embodiment, N weight coefficients corresponding to N operating wind speeds are obtained, and a weighted mean of the N operating wind speeds is calculated using the N weight coefficients to obtain a target wind speed.

[0183] Step 316, removing the operating wind speed matched by the air quality sensor;

[0184] Step 318: Determine the target wind speed based on the operating wind speeds matched by the remaining sensors.

[0185] In this embodiment, the target wind speed is obtained by removing the operating wind speed matched by the air quality sensor and calculating the average of the remaining operating wind speeds.

[0186] The above methods may be implemented in various ways depending on the specific features and / or example applications. For example, these methods may be implemented through a combination of hardware, firmware, and / or software. For example, in a hardware implementation, the processor may be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, electronic devices, other device units for performing the above functions, and / or combinations thereof.

[0187] According to an embodiment of the present application, a wind speed adjustment device is provided, which is applied to a fan device. The fan device includes: N sensors and a fan. The N sensors are used to collect N environmental parameters, where N is an integer greater than 1. FIG4 shows one structural block diagram of the wind speed adjustment device provided in some embodiments of the present application. As shown in FIG4, a wind speed adjustment device 400 is proposed, including:

[0188] Acquisition module 402, used to acquire N environmental parameters;

[0189] A determination module 404 is configured to determine N operating wind speeds based on N environmental parameters, where the N operating wind speeds correspond one-to-one to the N environmental parameters;

[0190] A determination module 404 is configured to determine a target wind speed based on the N operating wind speeds;

[0191] The control module 406 is used to control the wind turbine to operate according to the target wind speed.

[0192] In an embodiment of the present application, by setting multiple sensors on the fan equipment, and when the multiple sensors collect multiple different environmental parameters, the operating wind speed corresponding to each environmental parameter can be determined, and the target operating wind speed of the fan can be determined by combining the multiple operating wind speeds, so that the fan can take into account the environmental parameters collected by multiple sensors, thereby enabling the fan equipment to take into account the control requirements of multiple different functions, ensuring that the fan runs at a better operating wind speed.

[0193] In some embodiments, optionally, the wind speed adjustment device 400 includes:

[0194] An extraction module, configured to extract M first wind speeds from the N operating wind speeds according to a numerical relationship between the N operating wind speeds, where M=N-2;

[0195] The determination module 404 is configured to determine a target wind speed according to the M first wind speeds.

[0196] In this embodiment, after obtaining N operating wind speeds, numerical comparisons are performed on the N operating wind speeds to determine a numerical relationship between the N operating wind speeds. This numerical relationship includes, for example, a magnitude relationship between the N operating wind speeds. Based on this numerical relationship, M first wind speeds are extracted from the N operating wind speeds, and a final target wind speed is determined based on the M first wind speeds.

[0197] It should be noted that N is a positive integer greater than 3.

[0198] In an embodiment of the present application, by extracting the first wind speed from multiple operating wind speeds and determining the target wind speed based on the extracted first wind speed, the wind speeds that are significantly different from the first wind speed from the multiple operating wind speeds can be removed, thereby improving the matching of the generated target wind speed with the environmental parameters collected by multiple sensors, and further ensuring that the fan equipment can control the wind speed while taking into account a variety of different environmental parameters.

[0199] In some embodiments, optionally, the determination module 404 is configured to determine a maximum wind speed and a minimum wind speed among the N operating wind speeds based on a numerical relationship among the N operating wind speeds;

[0200] The wind speed adjustment device 400 includes:

[0201] The deletion module is used to delete the maximum wind speed and the minimum wind speed to obtain M first wind speeds.

[0202] In this embodiment, the maximum wind speed and the minimum wind speed among the N operating wind speeds can be determined through the numerical relationship between the N operating wind speeds, and the maximum wind speed and the minimum wind speed among the N operating wind speeds are removed to obtain M first wind speeds among the N operating wind speeds.

[0203] In an embodiment of the present application, by removing the maximum wind speed and the minimum wind speed from the N operating wind speeds, the accuracy of extracting M first wind speeds from the N operating wind speeds can be improved, so that the gap between the extracted M first wind speeds is smaller, thereby further improving the matching of the target wind speed generated according to the M first wind speeds with multiple environmental parameters.

[0204] In some embodiments, optionally, the determination module 404 is configured to determine P first parameters among the N environmental parameters, where the first parameters are within a preset parameter range, and P is a positive integer;

[0205] A determination module 404 is configured to determine Q third wind speeds from the N operating wind speeds based on the N environmental parameters and the P first parameters, where Q=NP;

[0206] The determination module 404 is configured to determine a target wind speed according to the Q third wind speeds.

[0207] In this embodiment, the first parameter is a parameter in the environmental parameters that is within the preset parameter range, and the preset parameter range is the target parameter range set by the user, that is, the first parameter is within the preset parameter range, and it can be determined that the parameter does not need further adjustment. Therefore, P first parameters are removed from N environmental parameters to obtain Q third parameters, and the operating wind speeds corresponding to the Q third parameters are determined as Q third wind speeds.

[0208] In this embodiment, after the Q third wind speeds are obtained, an average of the Q third wind speeds is calculated, and the calculated wind speed average is determined as the target wind speed.

[0209] In an embodiment of the present application, P first parameters within the preset parameter range are removed from N environmental parameters, and only Q third parameters are retained. The target wind speed is generated based on the Q third wind speeds corresponding to the Q third parameters, so that the fan device only sets the target wind speed based on the environmental parameters that are not within the preset parameter range, thereby avoiding the environmental parameters that are already within the preset parameter range from affecting the determined target wind speed, and improving the matching of the environmental parameters that are not within the preset parameter range when operating according to the target wind speed.

[0210] In some embodiments, optionally, the acquisition module 402 is configured to acquire N weight coefficients corresponding to N environmental parameters;

[0211] The wind speed adjustment device 400 includes:

[0212] The calculation module is used to calculate the weighted average of N operating wind speeds according to N weight coefficients to obtain the target wind speed.

[0213] In this embodiment, N environmental parameters correspond to N weight coefficients, wherein the N weight coefficients are associated with an operating mode set by a user or a default operating mode of the control system.

[0214] It should be noted that the weight coefficient may be a default weight coefficient of the control system, and may also be set by the user for different environmental parameters according to actual needs.

[0215] In this embodiment, after determining N weight coefficients, a weighted average calculation is performed on the N operating wind speeds using the N weight coefficients, and the obtained calculation result is determined as the target wind speed.

[0216] In an embodiment of the present application, when the fan is operating in a preset operating mode, N weight information corresponding to the N environmental parameter configurations in the preset operating mode are obtained, and then the weighted mean of the N operating wind speeds is calculated using N weight coefficients to obtain the target wind speed, so that the final target wind speed matches the operating mode of the fan device.

[0217] In some embodiments, optionally, the determination module 404 is configured to determine, in response to the mode setting instruction, X second parameters from the N environmental parameters, where X is a positive integer;

[0218] A determination module 404 is configured to determine X fourth wind speeds among the N operating wind speeds based on the X second parameters, where the X fourth wind speeds correspond one-to-one to the X second parameters;

[0219] The determination module 404 is configured to determine a target wind speed according to the X fourth wind speeds.

[0220] In this embodiment, the mode setting instruction is used to set the operating mode of the fan device. Different operating modes correspond to different X second parameters among N environmental parameters. X fourth wind speeds among N operating wind speeds can be determined by the X second parameters, and the target wind speed is generated based on the X fourth wind speeds.

[0221] It should be noted that the number of second parameters corresponding to different operating modes may be the same or different, and the second parameters corresponding to different operating modes may be the same environmental parameters or different environmental parameters.

[0222] In this embodiment of the present application, the operating mode of the fan device set by the user can be determined based on the mode setting instruction, and X second parameters from the N environmental parameters are determined based on the operating mode. The target wind speed calculated based on the X fourth wind speeds corresponding to the X second parameters improves compatibility with the operating mode set by the user.

[0223] In some embodiments, optionally, the determination module 404 is configured to determine a maximum value or an average value of the X fourth wind speeds as the target wind speed.

[0224] In this embodiment, since the X fourth wind speeds are the operating wind speeds corresponding to the X second parameters, and the X second parameters match the operating mode set by the user, the maximum value or average value of the X fourth wind speeds can be selected as the target wind speed, thereby improving the matching of the target wind speed and the operating mode.

[0225] In the embodiment of the present application, by selecting the maximum value or average value of the X fourth wind speeds as the target wind speed, the matching of the target wind speed and the operation mode is improved.

[0226] In some embodiments, optionally, the acquisition module 402 is configured to acquire N wind speed mapping relationships corresponding to N environmental parameters;

[0227] The determination module 404 is configured to determine N operating wind speeds according to N environmental parameters and N wind speed mapping relationships.

[0228] In this embodiment, different environmental parameters correspond to different wind speed mapping relationships. After obtaining N environmental parameters, the corresponding N operating wind speeds can be obtained through the N wind speed mapping relationships, thereby determining the operating wind speeds corresponding to different environmental parameters.

[0229] In an embodiment of the present application, by setting different wind speed mapping relationships for different environmental parameters, the accuracy of the operating wind speed determined by each different environmental parameter and the difference between the N operating wind speeds determined by N environmental parameters can be ensured, thereby further improving the matching of the target wind speed with multiple environmental parameters.

[0230] In some embodiments, optionally, the N environmental parameters include at least one of the following: ambient temperature, ambient humidity, PM2.5, PM10, and carbon dioxide concentration.

[0231] In this embodiment, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, a PM2.5 sensor, a PM10 sensor, and a carbon dioxide sensor.

[0232] Among them, the ambient temperature is collected by the temperature sensor, the ambient humidity is collected by the humidity sensor, PM2.5 is collected by the PM2.5 sensor, PM10 is collected by the PM10 sensor, and the carbon dioxide concentration is collected by the carbon dioxide sensor.

[0233] In the embodiment of the present application, by collecting corresponding environmental parameters through corresponding sensors, the accuracy of the N environmental parameters obtained can be improved, thereby improving the accuracy of determining the target wind speed.

[0234] According to one embodiment of the present application, Figure 5 shows the second structural block diagram of the wind speed adjustment device provided in some embodiments of the present application. As shown in Figure 5, a wind speed adjustment device 500 is proposed, including: a memory 504, in which a program or instruction is stored; a processor 502, which executes the program or instruction stored in the memory 504 to implement the steps of the wind speed adjustment method in any embodiment, and thus has all the beneficial technical effects of the wind speed adjustment method in any of the above-mentioned embodiments, which will not be elaborated here.

[0235] According to one embodiment of the present application, a readable storage medium is provided. The readable storage medium stores a program or instructions. When executed by a processor, the program or instructions implement the steps of the wind speed adjustment method described in any of the above embodiments. Therefore, all the beneficial technical effects of the wind speed adjustment method described in any of the above embodiments are achieved, and further details will not be given here.

[0236] A computer-readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. A computer-readable storage medium can be, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of computer-readable storage media includes: a portable computer floppy disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory card, a floppy disk, an encoding mechanical device (such as a punched card or a groove with a raised structure on which instructions are recorded), and any suitable combination of the foregoing. As used herein, a computer-readable storage medium should not be understood as a transmission signal per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium, or electrical signals transmitted through wires.

[0237] According to one embodiment of the present application, a fan device is provided, comprising: the wind speed adjustment device of any of the aforementioned embodiments; and / or the readable storage medium of any of the aforementioned embodiments. Thus, the fan device has all the beneficial technical effects of the wind speed adjustment device of any of the aforementioned embodiments; and / or the readable storage medium of any of the aforementioned embodiments, and no further description is given here.

[0238] As shown in Figure 2, in some embodiments, optionally, the fan device 200 also includes: a shell 202, in which an air duct 206 is arranged; N sensors 204, arranged in the shell 202, for collecting N environmental parameters, where N is an integer greater than 1; and a fan 208, arranged in the shell 202 and connected to the air duct 206.

[0239] In the embodiment of the present application, by providing a plurality of sensors 204 in the fan device 200 , corresponding environmental parameters can be collected, thereby facilitating subsequent adjustment and control of the target wind speed based on the environmental parameters.

[0240] In some embodiments, optionally, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, a PM2.5 sensor, a PM10 sensor, and a carbon dioxide sensor.

[0241] In this embodiment, the ambient temperature is collected by a temperature sensor, the ambient humidity is collected by a humidity sensor, PM2.5 is collected by a PM2.5 sensor, PM10 is collected by a PM10 sensor, and the carbon dioxide concentration is collected by a carbon dioxide sensor.

[0242] In the embodiment of the present application, by collecting corresponding environmental parameters through corresponding sensors, the accuracy of the N environmental parameters obtained can be improved, thereby improving the accuracy of determining the target wind speed.

[0243] It should be clarified that in the claims, specification and drawings of this application, the term "plurality" refers to two or more. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper" and "lower" is based on the orientation or positional relationship shown in the drawings. It is only for the purpose of more conveniently describing this application and making the description process simpler, and is not intended to indicate or imply that the device or element referred to must have the specific orientation described, be constructed and operated in a specific orientation. Therefore, these descriptions cannot be understood as limitations on this application. The terms "connect", "install", "fix" and the like should be understood in a broad sense. For example, "connection" can be a fixed connection between multiple objects, or a detachable connection between multiple objects, or an integral connection; it can be a direct connection between multiple objects, or an indirect connection between multiple objects through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood based on the specific circumstances of the above data.

[0244] In the claims, specification, and drawings of this application, the terms "one embodiment," "some embodiments," "a specific embodiment," and the like mean that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of this application. In the claims, specification, and drawings of this application, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0245] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Those skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A wind speed adjustment method, wherein, Applied to a fan device, the fan device includes: N sensors and a fan, the N sensors are used to collect N environmental parameters, N is an integer greater than 1, and the wind speed adjustment method includes: Obtain the N environmental parameters; According to the N environmental parameters, determine N operating wind speeds, and the N operating wind speeds correspond to the N environmental parameters one by one; According to the N operating wind speeds, determine the target wind speed; Control the fan to operate at the target wind speed.

2. The wind speed adjustment method according to claim 1, wherein, The determining the target wind speed according to the N operating wind speeds includes: According to the numerical relationship of the N operating wind speeds, extract M first wind speeds from the N operating wind speeds, M = N - 2; According to the M first wind speeds, determine the target wind speed.

3. The wind speed adjustment method according to claim 2, wherein, The extracting M first wind speeds from the N operating wind speeds according to the numerical relationship of the N operating wind speeds includes: According to the numerical relationship of the N operating wind speeds, determine the maximum wind speed and the minimum wind speed among the N operating wind speeds; Delete the maximum wind speed and the minimum wind speed to obtain the M first wind speeds.

4. The wind speed adjustment method according to claim 1, wherein, The determining the target wind speed according to the N operating wind speeds includes: Determine P first parameters among the N environmental parameters, the first parameters are within a preset parameter range, and P is a positive integer; According to the N environmental parameters and the P first parameters, determine Q third wind speeds among the N operating wind speeds, Q = N - P; According to the Q third wind speeds, determine the target wind speed.

5. The wind speed adjustment method according to claim 1, wherein, The determining the target wind speed according to the N operating wind speeds includes: Obtain N weight coefficients corresponding to the N environmental parameters; According to the N weight coefficients, perform a weighted average calculation on the N operating wind speeds to obtain the target wind speed.

6. The wind speed adjustment method according to claim 1, wherein, The determining the target wind speed according to the N operating wind speeds includes: In response to a mode setting instruction, determine X second parameters among the N environmental parameters, and X is a positive integer; According to the X second parameters, determine X fourth wind speeds among the N operating wind speeds, and the X fourth wind speeds correspond to the X second parameters one by one; According to the X fourth wind speeds, determine the target wind speed.

7. The wind speed adjustment method according to claim 6, wherein, The determining the target wind speed according to the X fourth wind speeds includes: Determine the maximum value or the average value of the X fourth wind speeds as the target wind speed.

8. The wind speed adjustment method according to any one of claims 1 to 7, wherein, The determining the N operating wind speeds according to the N environmental parameters includes: Obtain N wind speed mapping relationships corresponding to the N environmental parameters; According to the N environmental parameters and the N wind speed mapping relationships, determine the N operating wind speeds.

9. The wind speed adjustment method according to any one of claims 1 to 7, wherein, The N environmental parameters include at least one of the following: Ambient temperature, ambient humidity, PM2.5, PM10, carbon dioxide concentration.

10. A wind speed adjustment device, wherein, Applied to a fan device, the fan device includes: N sensors and a fan, the N sensors are used to collect N environmental parameters, N is an integer greater than 1, and the wind speed adjustment device includes: An acquisition module, configured to acquire the N environmental parameters; A determination module, configured to determine N operating wind speeds according to the N environmental parameters, and the N operating wind speeds correspond to the N environmental parameters one by one; The determining module is configured to determine a target wind speed according to the N operating wind speeds; The control module is configured to control the wind turbine to operate at the target wind speed.

11. A wind speed adjustment device, wherein, It includes: A processor and a memory, where the memory stores programs or instructions that can run on the processor, and when the programs or instructions are executed by the processor, the steps of the method according to any one of claims 1 to 9 are implemented.

12. A readable storage medium, on which a program or instructions are stored, wherein, When the programs or instructions are executed by the processor, the steps of the method according to any one of claims 1 to 9 are implemented.

13. A fan device, wherein, It includes: The wind speed adjustment device according to claim 10 or 11; and / or The readable storage medium according to claim 12.

14. The fan device according to claim 13, wherein, It further includes: A housing, in which an air duct is provided; N sensors, arranged in the housing, for collecting N environmental parameters, where N is an integer greater than 1; A wind turbine, arranged in the housing and communicating with the air duct.

15. The fan device according to claim 14, wherein, The N sensors include at least one of the following: A temperature sensor, a humidity sensor, a PM2.5 sensor, a PM10 sensor, a carbon dioxide sensor.

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