Control method, identification method, device, equipment, medium and product

Abstract

The invention discloses a control method, a recognition method, devices, equipment, a medium and a product. The control method comprises the steps that the current position and the current operation moment of fresh air equipment and the green plant position of a green plant in the environment where the fresh air equipment is located are obtained; based on the current position, the current operation moment and the green plant position, the target air speed and the target air supply direction of the fresh air equipment are determined; and the fresh air equipment is controlled to operate according to the target air speed and the target air supply direction. According to the scheme, the air quality adjusting precision can be improved, and the user experience is improved.

Description

Technical Field

[0001] This invention belongs to the field of electrical appliances, and particularly relates to a control method, identification method, device, equipment, medium and product. Background Technology

[0002] In related technologies, many indoor environments contain green plants, such as homes and offices. Indoor plants release oxygen through photosynthesis during the day and release carbon dioxide through respiration at night, thus affecting air quality. However, air conditioning devices cannot effectively regulate the impact of plants on air quality, resulting in imprecise indoor air quality control and a poor user experience. Summary of the Invention

[0003] In view of the above-mentioned technical problems in related technologies, embodiments of the present invention provide a control method, an identification method, a device, an equipment, a medium, and a product.

[0004] In a first aspect, embodiments of the present invention provide a method for controlling a fresh air device, comprising:

[0005] Obtain the current location of the fresh air device, its current operating time, and the location of the green plants in the environment where the fresh air device is located;

[0006] Based on the current location, the current operating time, and the location of the green plants, the target wind speed and target air supply direction of the fresh air equipment are determined.

[0007] The fresh air equipment is controlled to operate according to the target wind speed and the target air supply direction.

[0008] In some implementations, determining the target wind speed and target airflow direction of the fresh air system based on the current location, the current operating time, and the location of the greenery includes:

[0009] Based on the current operating time, determine the first wind speed at the location of the green plant;

[0010] Based on the current location and the location of the green plants, determine the target distance between the fresh air device and the green plants;

[0011] The target wind speed is determined based on the first wind speed and the target distance.

[0012] In some embodiments, the method further includes: obtaining the target size of the green plant;

[0013] Determining the first wind speed at the location of the green plant based on the current operating time includes: determining the first wind speed corresponding to the target size and the current operating time based on the correspondence between the size of the green plant, the operating time and the wind speed at the location of the green plant.

[0014] In some implementations, determining the target wind speed based on the first wind speed and the target distance includes:

[0015] Based on a first preset relationship between plant size and wind speed influence factors, determine a first influence factor corresponding to the target size; and / or

[0016] Based on a second preset relationship between the operating time and the wind speed influence factor, a second influence factor corresponding to the current operating time is determined;

[0017] Based on the first influence factor and / or the second influence factor, the first wind speed is processed to obtain the second wind speed;

[0018] The target wind speed is determined based on the second wind speed and the target distance.

[0019] In some implementations, determining the target wind speed based on the second wind speed and the target distance includes:

[0020] Based on a third preset relationship between distance and wind speed attenuation coefficient, a target attenuation coefficient corresponding to the target distance is determined;

[0021] The target wind speed is determined based on the target attenuation coefficient and the second wind speed.

[0022] In some implementations, determining the target wind speed and target airflow direction of the fresh air system based on the current location, the current operating time, and the location of the greenery includes:

[0023] Based on the current location and the location of the green plants, a first air supply direction of the fresh air device is determined, wherein the first air supply direction is the direction in which the fresh air device blows directly onto the location of the green plants;

[0024] If the current operating time is within the first time range, the target air supply direction is determined to be the first air supply direction;

[0025] If the current operating time is within the second time range, the target air supply direction is determined to be a second air supply direction that avoids the first air supply direction.

[0026] Within the first time range, the photosynthetic intensity of the green plants is greater than the respiration intensity, and within the second time range, the photosynthetic intensity of the green plants is less than or equal to the respiration intensity.

[0027] In some implementations, the location of the greenery is determined by the following steps:

[0028] The target device is controlled to operate in a preset air-sweeping mode, and the target device is equipped with radar.

[0029] During the operation of the target device in the preset sweep mode, the radar is controlled to scan the environment where the fresh air device is located to obtain a target point cloud dataset. For each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the sweep angle of the target device when the data point is collected.

[0030] Based on the target point cloud dataset, the location of the green plants is determined.

[0031] In some implementations, the controlled target device operates in a preset air-sweeping mode, including:

[0032] Determine N preset sweeping angles for the target device in the first direction, where N is a positive integer;

[0033] The N preset sweeping angles are sequentially used as the current angle of the target device in the first direction, and the target device is controlled to perform N rounds of sweeping operations.

[0034] In each round of sweeping operation, the current angle of the target device is kept constant, and the sweeping angle of the target device in the second direction is controlled to swing from a first angle to a second angle. The first angle and the second angle are respectively the minimum value of the sweeping angle range corresponding to the second direction, and the other is the maximum value of the sweeping angle range.

[0035] In some implementations, during the operation of the target device in the preset air-sweeping mode, controlling the radar to scan the environment where the fresh air device is located to obtain a target point cloud dataset includes:

[0036] During each round of sweeping operation performed by the target device, the radar is controlled to collect the first point cloud dataset corresponding to each round of sweeping operation, and a total of N sets of first point cloud datasets are acquired. For each data point in each set of first point cloud datasets, the data of the data point includes the distance between the data point and the radar, the angle in the first direction when the data point is collected, and the angle in the second direction.

[0037] For each set of first point cloud datasets, based on the background noise data of the environment where the fresh air device is located, the set of first point cloud datasets is filtered to obtain second point cloud datasets, resulting in a total of N sets of second point cloud datasets.

[0038] The target point cloud dataset is obtained based on the N sets of second point cloud datasets.

[0039] In some implementations, determining the location of the greenery based on the target point cloud dataset includes:

[0040] The target point cloud dataset is subjected to region growing processing to obtain M regions, where M is a positive integer;

[0041] Green plant areas are identified from the M regions, and the locations of the green plants are determined based on the data points contained in the green plant areas.

[0042] In some implementations, the process of performing region growing on the target point cloud dataset to obtain M regions includes:

[0043] For each data point in the target point cloud dataset, the three-dimensional coordinates of the data point are determined based on the distance between the data point and the radar and the sweep angle of the target device when the data point is acquired.

[0044] Initial seed points are determined from the target point cloud dataset;

[0045] Based on the three-dimensional coordinates of each data point in the target point cloud dataset, the initial seed point, and the preset growth conditions, the M regions are determined.

[0046] In some implementations, identifying the green areas from the M areas includes:

[0047] For each of the M regions, determine the distribution of all data points contained in that region;

[0048] For each region, if the distribution of all data points in that region is in a clustered pattern, then that region is determined to be the green plant region.

[0049] Secondly, embodiments of the present invention provide a method for identifying the location of green plants, including:

[0050] The target device is controlled to operate in a preset air-sweeping mode, and the target device is equipped with radar.

[0051] During the operation of the target device in the preset air sweeping mode, the radar is controlled to scan the environment where the fresh air device is located to obtain a target point cloud dataset. For each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the air sweeping angle of the target device when the data point is collected.

[0052] Based on the target point cloud dataset, the location of the green plants is determined.

[0053] Thirdly, embodiments of the present invention provide a fresh air equipment control device, comprising:

[0054] The acquisition module is used to acquire the current location of the fresh air device, the current operating time, and the location of the green plants in the environment where the fresh air device is located;

[0055] The processing module is used to determine the target wind speed and target air supply direction of the fresh air device based on the current location, the current operating time, and the location of the green plants;

[0056] The fresh air control module is used to control the fresh air equipment to operate according to the target wind speed and the target air supply direction.

[0057] Fourthly, embodiments of the present invention provide a plant location identification device, comprising:

[0058] The first control module is used to control the target device to operate in a preset air-sweeping mode, and the target device is equipped with a radar.

[0059] The second control module is used to control the radar to scan the environment where the fresh air device is located during the operation of the target device in the preset sweep mode, so as to obtain a target point cloud dataset. For each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the sweep angle of the target device when the data point is collected.

[0060] The location recognition module is used to determine the location of the green plants based on the target point cloud dataset.

[0061] Fifthly, embodiments of the present invention provide an electrical device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the above-mentioned fresh air device control method and green plant identification method.

[0062] In a sixth aspect, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described fresh air equipment control method and green plant identification method.

[0063] In a seventh aspect, embodiments of the present invention provide a computer program product, the computer program product including a computer program, which, when executed by a processor, is used to load and execute the steps of the above-described fresh air equipment control method and green plant identification method.

[0064] The embodiments of the present invention provide one or more technical solutions that achieve at least the following technical effects or advantages:

[0065] The fresh air equipment control method provided in this specification's embodiments acquires the current location of the fresh air equipment, the current operating time, and the location of the green plants in the environment where the fresh air equipment is located. Based on the current location, current operating time, and plant location, the target wind speed and target airflow direction of the fresh air equipment are determined. The fresh air equipment is then controlled to operate according to the target wind speed and target airflow direction. This solution takes advantage of the metabolic patterns of green plants, which release oxygen through photosynthesis during the day and carbon dioxide through respiration at night. Therefore, the type of gas released by the green plants can be determined based on the current operating time. For different gas types, the fresh air equipment can be controlled to use different wind speeds and airflow directions to deliver air, thereby effectively regulating air quality. Furthermore, combining the location of the green plants and the current location of the fresh air equipment allows for more precise determination of the wind speed and airflow direction, improving the accuracy of air quality regulation and thus enhancing the user experience. Attached Figure Description

[0066] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0067] Figure 1 A flowchart illustrating a fresh air equipment control method provided in the embodiments of this specification;

[0068] Figure 2 This is the RD diagram corresponding to the first point cloud data provided in the embodiments of this specification;

[0069] Figure 3 This is an RD diagram corresponding to the background noise data provided in the embodiments of this specification;

[0070] Figure 4 RD diagram of background noise-removed data provided in the embodiments of this specification;

[0071] Figure 5 A flowchart illustrating a method for identifying the location of green plants provided in an embodiment of this specification;

[0072] Figure 6 This is a schematic diagram of a fresh air equipment control device provided in the embodiments of this specification;

[0073] Figure 7 This is a schematic diagram of a green plant location identification device provided in the embodiments of this specification;

[0074] Figure 8 This is a schematic diagram of an electrical device provided as an embodiment of this specification. Detailed Implementation

[0075] This specification provides a control method, identification method, device, equipment, medium, and product. The control method includes: acquiring the current location of a fresh air device, the current operating time, and the location of green plants in the environment where the fresh air device is located; determining the target wind speed and target air supply direction of the fresh air device based on the current location, the current operating time, and the location of the green plants; and controlling the fresh air device to operate according to the target wind speed and the target air supply direction.

[0076] The solutions described in this specification utilize the metabolic patterns of plants: they release oxygen through photosynthesis during the day and carbon dioxide through respiration at night. Therefore, the type of gas released by the plants can be determined based on the current operating time. For different gas types, the fresh air system can be controlled to use different wind speeds and airflow directions, thereby effectively regulating air quality. Furthermore, by combining the location of the plants with the current location of the fresh air system, the wind speed and airflow direction of the system can be determined more accurately, improving the precision of air quality regulation and thus enhancing the user experience.

[0077] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0078] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0079] This specification provides an embodiment of a fresh air equipment control method, such as... Figure 1The diagram shown is a flowchart of a fresh air equipment control method provided in an embodiment of this specification. The method includes the following steps:

[0080] Step S101: Obtain the current location of the fresh air device, the current operating time, and the location of the green plants in the environment where the fresh air device is located;

[0081] Step S102: Based on the current location, the current operating time, and the location of the green plants, determine the target wind speed and target air supply direction of the fresh air device;

[0082] Step S103: Control the fresh air equipment to operate according to the target wind speed and the target air supply direction.

[0083] The methods provided in the embodiments of this specification can be applied to fresh air equipment, which can be any device capable of providing fresh air function. For example, a fresh air equipment can be an air conditioner with fresh air function, a whole-house fresh air system, or a stand-alone air purification device. The methods provided in the embodiments of this specification can also be applied to a server communicating with the fresh air equipment, or to a system consisting of the fresh air equipment and the server; no limitations are imposed here.

[0084] In step S101, the fresh air device can be either a fixed-location device or a movable device. When the fresh air device is a fixed-location device, its current location is its installation location, or it can be the location of its air outlet. When the fresh air device is a movable device, its current location is its location at the current moment.

[0085] In some embodiments, the current location of the fresh air system can be obtained using a pre-built whole-house map. For example, the location of the fresh air system can be collected by devices equipped with sensors such as radar and cameras in the environment, and the specific coordinates of the fresh air system can be obtained through the whole-house map. Of course, the current location of the fresh air system can also be obtained using coordinate systems constructed in other ways, which are not limited here.

[0086] The current operating time of the fresh air system is the current time when the fresh air system control method is executed. The environment in which the fresh air system is located contains green plants. It should be noted that if green plants exist in multiple areas of the environment, then there can be multiple locations for the green plants; if the green plants are concentrated in one area, then there can be only one location for the green plants.

[0087] The location of green plants can be obtained in various ways, such as through sensors like radar, infrared, and cameras. In this embodiment, the location of green plants can be obtained through the following steps: controlling a target device to operate in a preset air-sweeping mode, the target device being equipped with radar; during the operation of the target device in the preset air-sweeping mode, controlling the radar to scan the environment where the fresh air device is located, obtaining a target point cloud dataset, wherein for each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the air-sweeping angle of the target device when the data point was collected; based on the target point cloud dataset, determining the location of the green plants.

[0088] Specifically, the target device is a device capable of performing air sweeping. In some embodiments, the target device can be an air conditioner. The target device can be the same device as the fresh air device or a different device from the fresh air device; this is not limited here.

[0089] The target device is equipped with a radar, which can be a single-transmitter, single-receiver millimeter-wave radar. It should be noted that a single-transmitter, single-receiver radar cannot directly acquire the horizontal and / or pitch angles of the target. In order to locate vegetation using a single-transmitter, single-receiver radar, in this embodiment, the data collected by the radar is combined with the sweep angle of the target device to determine the location of the vegetation.

[0090] In some embodiments, after detecting a plant recognition command, the target device executes a plant recognition step. Specifically, the target device operates in a preset air-sweeping mode and simultaneously activates the radar to collect environmental data, obtaining a target point cloud dataset. The plant recognition command can be manually triggered by the user, for example, by sending a plant recognition command to the target device through its control panel, remote control, or voice control. Alternatively, the plant recognition process can be automatically triggered according to a preset plant recognition cycle; this is not a limitation.

[0091] It should be noted that during the plant identification process, to avoid interference from other moving targets (such as users), it is advisable to first determine whether there are any moving targets within the radar detection range. If no moving targets are found, the radar will begin data collection. If moving targets are found, an alert message can be output to keep the moving targets stationary or move them out of the detection range.

[0092] The target device's sweeping direction can include one or more directions; for example, the target device's sweeping direction can include both vertical and horizontal directions. The target device's preset sweeping mode can be set according to actual needs; for example, the preset sweeping mode can be a cycle of up-down and left-right sweeping, or sweeping up-down first and then left-right, etc., which is not limited here.

[0093] During the sweeping process of the target device, the wind direction and wind speed of the target device can be recorded. In some embodiments, if the sweeping direction of the target device includes both vertical and horizontal directions, the horizontal angle Θ, pitch angle Φ, and wind speed W of the air delivered by the target device can be recorded during the sweeping process.

[0094] During the sweeping process of the target device, the control radar collects environmental data to obtain a raw point cloud dataset. This raw point cloud dataset includes multiple data points, and each data point corresponds to at least the distance R between the data point and the radar, the horizontal angle Θ of the target device at the time the data point was collected, and the elevation angle Φ. In some embodiments, each data point in the raw point cloud dataset may include the following data: echo intensity T, distance R from the radar, Doppler velocity D, horizontal angle Θ, elevation angle Φ, and wind speed W. Therefore, the raw point cloud dataset Q can be represented as (T, R, D, Θ, Φ, W).

[0095] The target point cloud dataset can be the same as the original point cloud dataset, or it can be a dataset obtained by further processing the data in the original point cloud dataset. It should be noted that the target point cloud dataset should include at least the distance between each data point and the radar, as well as the sweep angle of the target device when each data point was acquired.

[0096] For ease of explanation, the following example uses a preset sweeping mode that includes N rounds of sweeping operations to illustrate the process of determining the target point cloud dataset, where N is a positive integer.

[0097] When the preset sweeping mode includes N rounds of sweeping operations, the target device can be controlled to operate through the following steps: determining N preset sweeping angles of the target device in a first direction; using the N preset sweeping angles as the current angle of the target device in the first direction in sequence, and controlling the target device to perform N rounds of sweeping operations; wherein, in each round of sweeping operations, the current angle of the target device is kept unchanged, and the sweeping angle of the target device in a second direction is controlled to swing from a first angle to a second angle, wherein one of the first angle and the second angle is the minimum value of the sweeping angle range corresponding to the second direction, and the other is the maximum value of the sweeping angle range.

[0098] It should be noted that the value of N can be set according to actual needs, for example, N can be 1, 2, 3, 5, etc. The first direction and the second direction can be two different air supply directions of the target device. For example, when the air supply direction of the target device includes both horizontal and vertical directions, then the first direction can be horizontal and the second direction can be vertical, or the first direction can be vertical and the second direction can be horizontal.

[0099] The N preset sweep angles in the first direction can be set according to actual needs. In some embodiments, all N preset sweep angles are within the sweep angle range of the first direction, and all N preset sweep angles are different. In some embodiments, N is 3, the first direction is the vertical direction, and the N preset sweep angles of the target device in the first direction can be the maximum vertical sweep angle, half of the maximum vertical sweep angle, and the minimum vertical sweep angle, respectively.

[0100] In each round of sweeping operation, the preset sweeping angle in the first direction remains unchanged, while the sweeping angle in the second direction is controlled to swing from the first angle to the second angle. For example, in the second direction, the sweeping angle swings from the minimum sweeping angle to the maximum sweeping angle, or vice versa. Of course, the first and second angles in the second direction can be selected according to actual needs, as long as they are within the corresponding sweeping angle range of the second direction; there is no limitation here.

[0101] For example, if the target device's vertical sweep angle range is 30°-70° and its horizontal sweep angle range is 30°-150°, then the vertical sweep angle can be divided into three parts: 30°, 50°, and 70°, corresponding to three preset sweep angles. When the target device is running in the preset sweep mode, in the first round of sweeping operation, the target device's vertical angle Φ is set to 30°, and the horizontal angle Θ is controlled to swing from 30° to 150°. In the second round of sweeping operation, the target device's vertical angle Φ is set to 50°, and the horizontal angle Θ is controlled to swing from 30° to 150°. In the third round of sweeping operation, the target device's vertical angle Φ is set to 70°, and the horizontal angle Θ is controlled to swing from 30° to 150°.

[0102] In this embodiment of the specification, when the target device is running in a preset sweep mode, the target point cloud dataset can be obtained through the following steps: During each round of sweep operation performed by the target device, the radar is controlled to collect a first point cloud dataset corresponding to each round of sweep operation, and a total of N sets of first point cloud datasets are obtained. For each data point in each set of first point cloud datasets, the data of the data point includes the distance between the data point and the radar, the angle in the first direction when the data point is collected, and the angle in the second direction; For each set of first point cloud datasets, based on the background noise data of the environment where the fresh air device is located, the set of first point cloud datasets is filtered to obtain a second point cloud dataset, and a total of N sets of second point cloud datasets are obtained; Based on the N sets of second point cloud datasets, the target point cloud dataset is obtained.

[0103] Specifically, during each sweep operation, the radar collects environmental data. The radar's data collection can be configured according to actual needs; for example, the radar collects environmental data every 10° change in the sweep angle in the second direction. Taking the first sweep operation with a vertical angle Φ of 30° as an example, in the first sweep operation, the sweep angle in the second direction swings from 30° to 150°. The radar can be controlled to sample every 10°, thus obtaining 13 sets of data. These 13 sets of data can be used as the first point cloud dataset for the first sweep operation. In some embodiments, the parameters of each data point in the first point cloud dataset may include the aforementioned T, R, D, Θ, Φ, and W. Through the above method, the first point cloud dataset for each sweep operation can be obtained, resulting in a total of N sets of first point cloud datasets.

[0104] Since the first point cloud dataset was collected under wind conditions at the target device, the data in the first point cloud dataset can characterize the movement characteristics of the plants under wind speed excitation. In the embodiments of this specification, different wind speeds can also be set in the preset wind sweeping mode, for example, performing N rounds of wind sweeping operations at a first wind speed, and then performing N rounds of wind sweeping operations at a second wind speed, etc. In some embodiments, the preset wind sweeping mode can be performing N rounds of wind sweeping operations at the maximum wind speed.

[0105] It should be noted that the background noise of the environment where the fresh air equipment is located can be data collected by radar when there are no moving plants in the environment. For example, when collecting the background noise of the environment, the air supply function of the target equipment can be turned off and the doors and windows in the environment can be closed to keep the plants in the environment still.

[0106] In the implementation of this manual, taking a set of first point cloud datasets as an example, a 2DFFT (Fast Fourier Transform) transformation can be performed on this set of first point cloud datasets to obtain the RD map (distance-Doppler map) corresponding to this set of first point cloud data, such as... Figure 2 As shown. For background noise data, a 2D FFT transformation can also be performed to obtain the corresponding RD map, such as... Figure 3 As shown. To reduce the impact of environmental background noise on the results, the RD map data corresponding to the first point cloud data in this group can be subtracted from the RD map data corresponding to the background noise data to filter out the background noise data. The difference between the two is obtained, i.e., the RD map after removing the background noise data, as shown. Figure 4As shown. Further, a CFAR (Constant False Alarm Rate) operation can be performed on the difference map between the two datasets, and the resulting data points can be used as the second point cloud dataset after filtering the first point cloud dataset. For each first point cloud dataset, the above process can be used to obtain N sets of second point cloud datasets. In some embodiments, the N sets of point cloud datasets can be merged to obtain the target point cloud dataset. Each data point in the target point cloud dataset corresponds to at least the distance R between the data point and the radar, the horizontal angle Θ, and the vertical angle Φ.

[0107] After obtaining the target point cloud dataset, the location of the green plants can be determined. In some embodiments, the location of the green plants can be determined by the following steps: performing region growing processing on the target point cloud dataset to obtain M regions, where M is a positive integer; identifying the green plant regions from the M regions, and determining the location of the green plants based on the data points contained in the green plant regions.

[0108] It should be noted that the M regions obtained from the region growing process can include green plant areas as well as other objects in the environment that are blown by the wind, such as curtain areas. Therefore, after obtaining the M regions, it is necessary to identify targets within the M regions and filter out the green plant areas.

[0109] In some embodiments, the region growing process can be implemented through the following steps: for each data point in the target point cloud dataset, determine the three-dimensional coordinates of the data point based on the distance between the data point and the radar and the sweep angle of the target device when the data point is acquired; determine an initial seed point from the target point cloud dataset; and determine the M regions based on the three-dimensional coordinates of each data point in the target point cloud dataset, the initial seed point, and preset growing conditions.

[0110] Taking the data points in the aforementioned target point cloud dataset, which include distance R, horizontal angle Θ, and vertical angle Φ, as an example, the three-dimensional coordinates x, y, and z of each data point can be calculated using the following formula:

[0111] x=RsinΦcosΘ

[0112] y=RsinΦsinΘ

[0113] z=RcosΦ

[0114] When performing region growing, the initial seed points can be randomly selected from the target point cloud dataset, selected sequentially from the target point cloud dataset, or selected according to preset seed point selection conditions. There are no restrictions here.

[0115] The preset growth conditions can be selected according to actual needs. In some embodiments, the preset growth conditions may include a distance threshold and a normal threshold. That is, the distance between the newly added data point and the data points in the existing region is less than the distance threshold, and the angle between the normal of the newly added data point and the normal of the data points in the existing region is less than the normal threshold. During the region growth process, starting from the initial endpoint, nearby points are gradually merged into the existing region. That is, if a data point meets the preset growth conditions, it is merged into the existing region until no more points meet the growth conditions or the preset number of iterations is reached.

[0116] Through the above region growth process, M regions can be obtained. Furthermore, the location of the cluster center of each region can be determined, and the location of the cluster center can be used to characterize the location of the corresponding region.

[0117] For the M regions, the target type within each region can also be identified. Target type determination can be achieved in several ways. For example, it can be done by combining a whole-house map with the placement patterns of different target types to determine the target type corresponding to each region's location. Specifically, when the target is a curtain, the curtain is usually placed near a window; when the target is a plant, the plant is usually placed against a wall or on a windowsill. Therefore, the target type can be determined based on the location of each of the M regions on the whole-house map.

[0118] In some embodiments, the green plant area can be screened by the following steps: for each of the M areas, determine the distribution of all data points contained in that area; for each area, if the distribution of all data points contained in that area is a clustered distribution, determine that area as the green plant area.

[0119] Specifically, the data distribution within the greenery area follows certain patterns. If the data points are distributed in clusters, the area can be considered a greenery area; if they are distributed in stripes, the area can be considered a curtain area. Of course, for more accurate identification, the data distribution can be combined with the aforementioned plant placement locations to precisely determine the greenery area. Furthermore, after determining the greenery area, the cluster center of that area can be used as the location of the greenery.

[0120] After identifying the location of the green plants, the location can be saved on the device terminal, such as in the fresh air device, or on the server. When in use, the location can be read locally or a request to obtain the location of the green plants can be sent to the server to receive the location of the green plants in response from the server.

[0121] Furthermore, after identifying M regions and the target types corresponding to each region, the cluster center of each region can be used as the location of the corresponding target, such as the location of green plants or curtains. In some embodiments, when the target device is not supplying air and other indoor air supply devices are also off, if the radar enters monitoring mode and detects autonomous movement of green plants or curtains, it indicates that the user has opened doors and windows for ventilation. At this time, user behavior data can be recorded, such as the time when doors and windows are opened and the duration of time they remain open. This behavior data can serve as the basis for constructing various relationships that subsequently affect wind speed.

[0122] In step S102, determining the target wind speed and target airflow direction of the fresh air system based on the current location, the current operating time, and the location of the green plants can be achieved in various ways. For example, an airflow strategy can be determined based on the current location, the current operating time, and the location of the green plants, and airflow can be delivered according to the strategy. It should be noted that green plants produce oxygen during photosynthesis, so the corresponding airflow strategy could be to deliver air towards the green plants to accelerate oxygen diffusion. Green plants produce carbon dioxide during respiration, so when doors and windows are open, the airflow strategy could be to deliver air towards the doors and windows to accelerate carbon dioxide removal. When doors and windows are closed, the airflow strategy could be to avoid delivering air towards the green plants and reduce the wind speed to prevent accelerated carbon dioxide diffusion.

[0123] In some embodiments, step S102 can be implemented by the following steps: determining a first wind speed at the location of the green plant based on the current operating time; determining a target distance between the fresh air device and the green plant based on the current location and the location of the green plant; and determining a target wind speed based on the first wind speed and the target distance.

[0124] Specifically, the amount of oxygen produced by plants through photosynthesis varies over time. Generally, the amount of oxygen produced by plants gradually increases after sunrise, reaches its maximum at midday, and then gradually decreases. At night, plants mainly perform respiration, producing carbon dioxide. Therefore, based on the amount of oxygen and carbon dioxide produced by the plants at each operating time, the wind speed at the plant location can be pre-set for each operating time. For example, the wind speed increases with increasing oxygen levels and decreases with decreasing oxygen levels; that is, when oxygen levels are high, the wind speed at the plant location is high to accelerate oxygen diffusion; when oxygen levels are low and carbon dioxide levels are high, the wind speed is low to prevent carbon dioxide diffusion. Based on this, a correspondence between the operating time and the wind speed at the plant location can be pre-established. Once the current operating time is determined, the corresponding initial wind speed can be obtained based on this correspondence.

[0125] In the embodiments of this specification, considering that different plant sizes will lead to different amounts of oxygen and / or carbon dioxide produced by the plants, and thus the required wind speed at the plant location will also differ, in some embodiments, the first wind speed can also be determined by the following steps: obtaining the target size of the plant; and determining the first wind speed corresponding to the target size and the current operating time based on the correspondence between the plant size, the operating time and the wind speed at the plant location.

[0126] It should be noted that the target size of the greenery can be obtained in several ways. For example, after determining the area where the greenery is located, the area of ​​that region can be used as the target size for the plants. The correspondence between plant size, operating time, and wind speed at the location of the greenery can be pre-defined. In this correspondence, the larger the plant size and the closer the operating time is to noon, the higher the oxygen level and the higher the wind speed. Conversely, the larger the plant size and the closer the operating time is to nighttime, the lower the oxygen level, the higher the carbon dioxide level, and the lower the wind speed. After obtaining the target size of the greenery and the current operating time, the corresponding first wind speed can be obtained by querying this correspondence.

[0127] In the embodiments of this specification, considering that wind speed will decrease with increasing distance, the wind speed will decrease after the target wind speed reaches the green plants. That is, the first wind speed is actually the wind speed after the distance decreases. In order to determine the target wind speed, the attenuation can be compensated based on the first wind speed.

[0128] As can be seen from the above, both the target size of the greenery and the current operating time will affect the target wind speed of the fresh air system. Therefore, the first wind speed at the location of the greenery can be considered as the wind speed after weighting the target wind speed by the target size and / or the current operating time, where the target wind speed can be the air outlet wind speed of the fresh air system. In some embodiments, to determine the target wind speed of the fresh air system, the following steps can be performed: based on a first preset relationship between the greenery size and the wind speed influence factor, determine a first influence factor corresponding to the target size; and / or based on a second preset relationship between the operating time and the wind speed influence factor, determine a second influence factor corresponding to the current operating time; based on the first influence factor and / or the second influence factor, process the first wind speed to obtain a second wind speed; and based on the second wind speed and the target distance, determine the target wind speed.

[0129] Specifically, the first preset relationship between plant size and wind speed influence factor, and the second preset relationship between operating time and wind speed influence factor, can both be pre-constructed. In some embodiments, if only the target size of the plant is obtained, the first influence factor can be determined by looking up the first preset relationship, and the second wind speed can be obtained based on the first wind speed and the first influence factor. In some embodiments, if only the current operating time is obtained, the second influence factor can be determined by looking up the second preset relationship, and the second wind speed can be obtained based on the first wind speed and the second influence factor. In some embodiments, if the target size of the plant and the current operating time are obtained, the first influence factor and the second influence factor are determined based on the first preset relationship and the second preset relationship, and the second wind speed is determined based on the first wind speed, the first influence factor, and the second influence factor.

[0130] For ease of explanation, taking the target size of the greenery and the current operating time as an example, the second wind speed V D It can be calculated using the following formula:

[0131] V′=α×β×V D

[0132] Where V′ is the first wind speed, V D The second wind speed is α, the first influencing factor is β, and the second influencing factor is β.

[0133] In the embodiments of this specification, in addition to determining the second influencing factor through a second preset correspondence, it can also be determined through a dynamically weighted function f based on the length of sunrise time. For example, β = f(TT) sun ), where T is the current running time, T sun This refers to sunrise time.

[0134] As mentioned above, the wind speed at the greenery location is the wind speed after distance attenuation. Therefore, the second wind speed also corresponds to the target wind speed after distance attenuation. Thus, the target wind speed can be determined based on the second wind speed and the target distance between the current location of the fresh air system and the location of the greenery. The target distance can be obtained using the following formula:

[0135]

[0136] Among them, (x plant ,y plant ,z plant (x) represents the location of the greenery. vent ,y vent ,z vent ) represents the current location of the fresh air system, and L represents the target distance.

[0137] In some embodiments, the target wind speed can be determined by the following steps: determining a target attenuation coefficient corresponding to the target distance based on a third preset relationship between distance and wind speed attenuation coefficient; and determining the target wind speed based on the target attenuation coefficient and the second wind speed.

[0138] It should be noted that the third preset relationship between distance and wind speed attenuation coefficient can be pre-set. In some embodiments, the larger the distance, the larger the attenuation coefficient. After obtaining the target distance, the target attenuation coefficient is obtained by looking up the third preset relationship. In some embodiments, the target wind speed can be obtained by the following formula:

[0139] V D =V0×e -kL

[0140] Where V0 is the target wind speed and k is the target attenuation coefficient.

[0141] In the embodiments of this specification, the target air supply direction of the fresh air device can be determined in various ways. For example, the target air supply direction can be the direction that blows directly onto the green plants. Alternatively, when the green plants are photosynthesizing during the day, the target air supply direction is the direction that blows directly onto the green plants; when the green plants are respiring at night, the fresh air device performs directional exhaust.

[0142] In some embodiments, the target air supply direction can be determined by the following steps: based on the current location and the location of the green plant, a first air supply direction of the fresh air device is determined, wherein the first air supply direction is the direction in which the fresh air device blows directly onto the location of the green plant; if the current operating time is within a first time range, the target air supply direction is determined to be the first air supply direction; if the current operating time is within a second time range, the target air supply direction is determined to be a second air supply direction that avoids the first air supply direction; wherein, within the first time range, the photosynthetic intensity of the green plant is greater than the respiration intensity, and within the second time range, the photosynthetic intensity of the green plant is less than or equal to the respiration intensity.

[0143] Specifically, based on the current location of the fresh air system and the location of the plants, the first airflow direction from the fresh air system directly to the plants can be determined; that is, the airflow angle of the fresh air system is directed towards the plants. The first and second time ranges can be set according to actual needs. In some embodiments, the first time range can be from sunrise to sunset, and the second time range can be from sunset to sunrise of the next day. Within the first time range, the photosynthetic intensity of the plants is high; therefore, the fresh air system can blow directly towards the plants to allow oxygen to diffuse rapidly. Within the second time range, the respiration intensity of the plants is high; therefore, the fresh air system can use a second direction that avoids the plants to prevent carbon dioxide diffusion from affecting the air quality of other areas.

[0144] In step S103, after obtaining the target wind speed and target air supply direction, the fresh air equipment is controlled to operate according to the target wind speed and target air supply direction.

[0145] In summary, the solution of this embodiment combines radar and a target device box with a wind-sweeping function to obtain a point cloud dataset containing angle information, thereby identifying the location of indoor plants. By considering the location of the plants, their metabolic patterns, and the current time, the target wind speed and target airflow direction of the fresh air system are determined. When the fresh air system operates at the target wind speed and target airflow direction, it can quickly diffuse the oxygen produced by the plants' daytime photosynthesis into the room and avoid the carbon dioxide produced by the plants' nighttime respiration from affecting the control quality, thereby improving environmental comfort and enhancing the user experience.

[0146] Based on the same inventive concept, embodiments of the present invention provide a method for identifying the location of green plants, such as... Figure 5 As shown, the method includes:

[0147] Step S501: Control the target device to operate in a preset air-sweeping mode, wherein the target device is equipped with radar;

[0148] Step S502: During the operation of the target device in the preset sweep mode, the radar is controlled to scan the environment where the fresh air device is located to obtain a target point cloud dataset. For each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the sweep angle of the target device when the data point is collected.

[0149] Step S503: Determine the location of the green plants based on the target point cloud dataset.

[0150] The specific implementation of each step in the above method has been described in detail in the embodiments of the fresh air equipment control method provided in the specification, and will not be elaborated here.

[0151] Based on the same inventive concept, embodiments of the present invention provide a fresh air equipment control device, such as... Figure 6 As shown, the device includes:

[0152] The acquisition module 601 is used to acquire the current location of the fresh air device, the current operating time, and the location of the green plants in the environment where the fresh air device is located.

[0153] Processing module 602 is used to determine the target wind speed and target air supply direction of the fresh air device based on the current location, the current operating time and the location of the green plants;

[0154] The fresh air control module 603 is used to control the fresh air equipment to operate according to the target wind speed and the target air supply direction.

[0155] In some embodiments, the processing module 602 is configured to:

[0156] Based on the current operating time, determine the first wind speed at the location of the green plant;

[0157] Based on the current location and the location of the green plants, determine the target distance between the fresh air device and the green plants;

[0158] The target wind speed is determined based on the first wind speed and the target distance.

[0159] In some embodiments, the method further includes:

[0160] A size determination module is used to obtain the target size of the green plant;

[0161] The processing module 602 is used to determine a first wind speed corresponding to the target size and the current operating time based on the correspondence between the size of the green plant, the operating time and the wind speed at the location of the green plant.

[0162] In some embodiments, the processing module 602 is configured to:

[0163] Based on a first preset relationship between plant size and wind speed influence factors, determine a first influence factor corresponding to the target size; and / or

[0164] Based on a second preset relationship between the operating time and the wind speed influence factor, a second influence factor corresponding to the current operating time is determined;

[0165] Based on the first influence factor and / or the second influence factor, the first wind speed is processed to obtain the second wind speed;

[0166] The target wind speed is determined based on the second wind speed and the target distance.

[0167] In some embodiments, the processing module 602 is configured to:

[0168] Based on a third preset relationship between distance and wind speed attenuation coefficient, a target attenuation coefficient corresponding to the target distance is determined;

[0169] The target wind speed is determined based on the target attenuation coefficient and the second wind speed.

[0170] In some embodiments, the processing module 602 is configured to:

[0171] Based on the current location and the location of the green plants, a first air supply direction of the fresh air device is determined, wherein the first air supply direction is the direction in which the fresh air device blows directly onto the location of the green plants;

[0172] If the current operating time is within the first time range, the target air supply direction is determined to be the first air supply direction;

[0173] If the current operating time is within the second time range, the target air supply direction is determined to be a second air supply direction that avoids the first air supply direction.

[0174] Within the first time range, the photosynthetic intensity of the green plants is greater than the respiration intensity, and within the second time range, the photosynthetic intensity of the green plants is less than or equal to the respiration intensity.

[0175] In some embodiments, the device further includes a plant location determination module, used for:

[0176] The target device is controlled to operate in a preset air-sweeping mode, and the target device is equipped with radar.

[0177] During the operation of the target device in the preset sweep mode, the radar is controlled to scan the environment where the fresh air device is located to obtain a target point cloud dataset. For each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the sweep angle of the target device when the data point is collected.

[0178] Based on the target point cloud dataset, the location of the green plants is determined.

[0179] In some embodiments, the green plant location determination module is used for:

[0180] Determine N preset sweeping angles for the target device in the first direction, where N is a positive integer;

[0181] The N preset sweeping angles are sequentially used as the current angle of the target device in the first direction, and the target device is controlled to perform N rounds of sweeping operations.

[0182] In each round of sweeping operation, the current angle of the target device is kept constant, and the sweeping angle of the target device in the second direction is controlled to swing from a first angle to a second angle. The first angle and the second angle are respectively the minimum value of the sweeping angle range corresponding to the second direction, and the other is the maximum value of the sweeping angle range.

[0183] In some embodiments, the green plant location determination module is used for:

[0184] During each round of sweeping operation performed by the target device, the radar is controlled to collect the first point cloud dataset corresponding to each round of sweeping operation, and a total of N sets of first point cloud datasets are acquired. For each data point in each set of first point cloud datasets, the data of the data point includes the distance between the data point and the radar, the angle in the first direction when the data point is collected, and the angle in the second direction.

[0185] For each set of first point cloud datasets, based on the background noise data of the environment where the fresh air device is located, the set of first point cloud datasets is filtered to obtain second point cloud datasets, resulting in a total of N sets of second point cloud datasets.

[0186] The target point cloud dataset is obtained based on the N sets of second point cloud datasets.

[0187] In some embodiments, the green plant location determination module is used for:

[0188] The target point cloud dataset is subjected to region growing processing to obtain M regions, where M is a positive integer;

[0189] Green plant areas are identified from the M regions, and the locations of the green plants are determined based on the data points contained in the green plant areas.

[0190] In some embodiments, the green plant location determination module is used for:

[0191] For each data point in the target point cloud dataset, the three-dimensional coordinates of the data point are determined based on the distance between the data point and the radar and the sweep angle of the target device when the data point is acquired.

[0192] Initial seed points are determined from the target point cloud dataset;

[0193] Based on the three-dimensional coordinates of each data point in the target point cloud dataset, the initial seed point, and the preset growth conditions, the M regions are determined.

[0194] In some embodiments, the green plant location determination module is used for:

[0195] For each of the M regions, determine the distribution of all data points contained in that region;

[0196] For each region, if the distribution of all data points in that region is in a clustered pattern, then that region is determined to be the green plant region.

[0197] Regarding the above-mentioned device, the specific functions of each module have been described in detail in the embodiments of the fresh air equipment control method provided in this specification, and will not be elaborated here.

[0198] Based on the same inventive concept, embodiments of the present invention provide a green plant location identification device, such as... Figure 7 As shown, the device includes:

[0199] The first control module 701 is used to control the target device to operate in a preset air-sweeping mode, and the target device is equipped with a radar.

[0200] The second control module 702 is used to control the radar to scan the environment where the fresh air device is located during the operation of the target device in the preset sweep mode, and obtain a target point cloud dataset. For each data point in the target point cloud dataset, the data corresponding to the data point includes the distance between the data point and the radar, and the sweep angle of the target device when the data point is collected.

[0201] The location recognition module 703 is used to determine the location of the green plant based on the target point cloud dataset.

[0202] Regarding the above-mentioned device, the specific functions of each module have been described in detail in the embodiments of the fresh air equipment control method provided in this specification, and will not be elaborated here.

[0203] Based on the same inventive concept, embodiments of the present invention provide an electrical device, see reference. Figure 8 As shown, it includes a memory 804, a processor 802, and a computer program stored in the memory 804 and executable on the processor 802. When the processor 802 executes the program, it implements any one of the following implementations: the fresh air equipment control method and the green plant location recognition method.

[0204] Among them, Figure 8In this document, a bus architecture (represented by bus 800) is used. Bus 800 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 802 and memory represented by memory 804. Bus 800 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 805 provides an interface between bus 800 and receiver 801 and transmitter 803. Receiver 801 and transmitter 803 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 802 is responsible for managing bus 800 and general processing, while memory 804 can be used to store data used by processor 802 during operation.

[0205] Based on the same inventive concept, embodiments of this specification provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described fresh air equipment control method and green plant location identification method.

[0206] Based on the same inventive concept, embodiments of this specification provide a computer program product, which includes a computer program that, when executed by a processor, is used to load and execute the steps of the above-described device wake-up method.

[0207] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this invention and the appended claims. For example, due to the nature of software, the functions described above can be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units can be integrated into a single processing unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit.

[0208] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0209] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0210] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0211] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for controlling a fresh air device, characterized by, The method comprises: obtaining a current position of a fresh air device, a current running time, and a green plant position of a green plant in an environment where the fresh air device is located; determining a target wind speed and a target air supply direction of the fresh air device based on the current position, the current running time, and the green plant position; controlling the fresh air device to operate according to the target wind speed and the target air supply direction.

2. The method of claim 1, wherein, The determination of the target wind speed and the target air supply direction of the fresh air device based on the current position, the current running time, and the green plant position comprises: determining a first wind speed at the green plant position based on the current running time; determining a target distance between the fresh air device and the green plant based on the current position and the green plant position; determining the target wind speed based on the first wind speed and the target distance.

3. The method of claim 2, wherein, The method further comprises: obtaining a target size of the green plant; The determination of the first wind speed at the green plant position based on the current running time comprises: determining a first wind speed corresponding to the target size and the current running time based on a corresponding relationship between a green plant size, a running time, and a wind speed at the green plant.

4. The method of claim 3, wherein, The determination of the target wind speed based on the first wind speed and the target distance comprises: determining a first influence factor corresponding to the target size based on a first preset relationship between a green plant size and a wind speed influence factor; and / or determining a second influence factor corresponding to the current running time based on a second preset relationship between a running time and a wind speed influence factor; processing the first wind speed based on the first influence factor and / or the second influence factor to obtain a second wind speed; determining the target wind speed based on the second wind speed and the target distance.

5. The method of claim 4, wherein, The determination of the target wind speed based on the second wind speed and the target distance comprises: determining a target attenuation coefficient corresponding to the target distance based on a third preset relationship between a distance and a wind speed attenuation coefficient; determining the target wind speed based on the target attenuation coefficient and the second wind speed.

6. The method of claim 1, wherein, The determination of the target wind speed and the target air supply direction of the fresh air device based on the current position, the current running time, and the green plant position comprises: determining a first air supply direction of the fresh air device based on the current position and the green plant position, the first air supply direction being a direction in which the fresh air device directly blows at the green plant position; if the current running time is within a first time range, determining that the target air supply direction is the first air supply direction; if the current running time is within a second time range, determining that the target air supply direction is a second air supply direction that avoids the first air supply direction; wherein the photosynthesis intensity of the green plant is greater than the respiration intensity in the first time range, and the photosynthesis intensity of the green plant is less than or equal to the respiration intensity in the second time range.

7. The method of claim 1, wherein, The green plant position of the green plant is determined by the following steps: controlling a target device to operate in a preset air sweeping mode, the target device being provided with a radar; In a process in which the target device operates in the preset air-sweeping mode, the radar is controlled to scan an environment in which the fresh air device is located to obtain a target point cloud data set, wherein for each data point in the target point cloud data set, data corresponding to the data point includes a distance between the data point and the radar and an air-sweeping angle of the target device when the data point is collected; The green plant position is determined based on the target point cloud data set.

8. The method of claim 7, wherein, The target device is controlled to operate in the preset air-sweeping mode, including: N preset air-sweeping angles of the target device in a first direction are determined, N being a positive integer; The N preset air-sweeping angles are sequentially used as a current angle of the target device in the first direction, and the target device is controlled to perform N rounds of air-sweeping operations; In each round of air-sweeping operation, the current angle of the target device is controlled to be unchanged, and an air-sweeping angle of the target device in a second direction is controlled to swing from a first angle to a second angle, wherein one of the first angle and the second angle is a minimum value of an air-sweeping angle range corresponding to the second direction, and the other is a maximum value of the air-sweeping angle range.

9. The method of claim 8, wherein, In a process in which the target device operates in the preset air-sweeping mode, the radar is controlled to scan an environment in which the fresh air device is located to obtain a target point cloud data set, including: In a process in which the target device performs each round of air-sweeping operation, the radar is controlled to collect a first point cloud data set corresponding to each round of air-sweeping operation, and N groups of first point cloud data sets are obtained, wherein for each data point in each group of first point cloud data sets, data of the data point includes a distance between the data point and the radar, an angle in the first direction when the data point is collected, and an angle in the second direction; For each group of first point cloud data sets, the group of first point cloud data sets is filtered based on background noise data of the environment in which the fresh air device is located to obtain a second point cloud data set, and N groups of second point cloud data sets are obtained; The target point cloud data set is obtained based on the N groups of second point cloud data sets.

10. The method of claim 9, wherein, The green plant position is determined based on the target point cloud data set, including: Region growing processing is performed on the target point cloud data set to obtain M regions, M being a positive integer; A green plant region is identified from the M regions, and the green plant position is determined based on data points contained in the green plant region.

11. The method of claim 10, wherein, The region growing processing is performed on the target point cloud data set to obtain M regions, including: For each data point in the target point cloud data set, a three-dimensional coordinate of the data point is determined based on a distance between the data point and the radar and an air-sweeping angle of the target device when the data point is collected; An initial seed point is determined from the target point cloud data set; The M regions are determined based on the three-dimensional coordinates of each data point in the target point cloud data set, the initial seed point, and a preset growth condition.

12. The method of claim 10, wherein, The green plant region is identified from the M regions, including: For each region in the M regions, a distribution of all data points contained in the region is determined; For each region, if the distribution of all data points contained in the region is a cluster distribution, the region is determined as the green plant region.

13. A green plant position recognition method characterized by comprising: The method comprises: controlling a target device to operate in a preset air sweeping mode, the target device being provided with a radar; during operation of the target device in the preset air sweeping mode, controlling the radar to scan an environment in which a fresh air device is located to obtain a target point cloud data set, wherein for each data point in the target point cloud data set, data corresponding to the data point includes a distance between the data point and the radar and an air sweeping angle of the target device when the data point is collected; based on the target point cloud data set, determining the green plant position.

14. A fresh air unit control device characterized by comprising: The method comprises: an acquisition module configured to acquire a current position of a fresh air device, a current operation time, and a green plant position of a green plant in an environment in which the fresh air device is located; a processing module configured to determine a target air speed and a target air supply direction of the fresh air device based on the current position, the current operation time, and the green plant position; a fresh air control module configured to control the fresh air device to operate according to the target air speed and the target air supply direction.

15. A green plant position recognition device, characterized by, The method comprises: a first control module configured to control a target device to operate in a preset air sweeping mode, the target device being provided with a radar; a second control module configured to, during operation of the target device in the preset air sweeping mode, control the radar to scan an environment in which a fresh air device is located to obtain a target point cloud data set, wherein for each data point in the target point cloud data set, data corresponding to the data point includes a distance between the data point and the radar and an air sweeping angle of the target device when the data point is collected; a position recognition module configured to determine the green plant position based on the target point cloud data set.

16. An electrical appliance, characterized by The computer program product comprises a computer program, and the computer program is executed by a processor to load and execute the method according to any one of claims 1-13.

17. A computer-readable storage medium, characterized in that, The computer program product comprises a computer program, and the computer program is executed by a processor to load and execute the method according to any one of claims 1-13.

18. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by a processor to load and execute the method according to any one of claims 1-13.

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