A method and system for remotely controlling a regional meteorological station

Abstract

The present invention is applicable to the technical field of electrical digital data processing, and particularly relates to a method and system for remotely controlling an area meteorological station. The method includes: obtaining meteorological monitoring data and environmental monitoring data; extracting picture frames from an infrared monitoring video, identifying plant branches according to the picture frames, and determining the wind direction range; dividing the positions of plant branches and leaves, and determining the wind speed range according to the distribution positions of the plant branches and leaves; screening the meteorological monitoring data according to the wind direction range and the wind speed range, and sending out the screening result. By performing infrared monitoring and visible light monitoring on the area near the meteorological station, and performing real-time analysis on the monitoring pictures, the present invention determines the current wind direction and wind speed according to the analysis results, and accordingly screens the wind speed data and wind direction data measured by the meteorological station to eliminate the untrue parts thereof. When data is continuously eliminated, a warning message is actively sent out to prompt relevant personnel to perform maintenance.

Description

Technical Field

[0001] The present invention belongs to the technical field of electrical digital data processing, and particularly relates to a method and system for remotely controlling a regional weather station. Background Art

[0002] Weather stations can be classified according to their uses, installations, and accuracies into: portable weather stations, high-precision weather stations, highway weather stations, forest fire risk weather stations, campus weather stations, power weather stations, photovoltaic weather stations, scenic area weather stations, and community weather stations.

[0003] An ecological automatic weather station can monitor many meteorological elements including: wind speed, wind direction, air temperature, humidity, atmospheric pressure, light, optical rainfall, pm2.5, pm10, noise and other meteorological elements, and the regional ecological automatic weather station can be used in many fields, mainly including meteorology, agriculture, forestry, environmental protection, ocean, airport, port, scientific expedition, campus education and other fields.

[0004] In order to ensure the accuracy of meteorological data, a large number of weather stations need to be set up. However, when a weather station malfunctions, such as when it breaks down, the data it uploads will affect the accuracy of the entire monitoring data, and the existing weather stations cannot screen the data they collect. Summary of the Invention

[0005] An object of an embodiment of the present invention is to provide a method for remotely controlling a regional weather station, aiming to solve the problem that the existing weather stations cannot screen the data they collect.

[0006] An embodiment of the present invention is implemented as follows. A method for remotely controlling a regional weather station, the method includes:

[0007] Obtain meteorological monitoring data and environmental monitoring data, where the environmental monitoring data includes infrared monitoring video and visible light monitoring video;

[0008] Extract frame images from the infrared monitoring video, identify plant branches according to the frame images, and determine the wind direction range;

[0009] Divide the positions of plant branches and leaves, and determine the wind speed range according to the distribution positions of the plant branches and leaves;

[0010] Screen the meteorological monitoring data according to the wind direction range and the wind speed range, and send out the screening result.

[0011] Preferably, the step of extracting frame images from the infrared monitoring video, identifying plant branches according to the frame images, and determining the wind direction range specifically includes:

[0012] Extract corresponding frame images from the infrared monitoring video at a preset extraction interval;

[0013] Determine the position of the plant branches according to the color area distribution in the picture frame;

[0014] Calculate the bending direction based on the edge curve of the plant branches and determine the wind direction range.

[0015] Preferably, the step of dividing the positions of plant branches and leaves and determining the wind speed range according to the distribution positions of the plant branches and leaves specifically includes:

[0016] Determine the midline position of the plant branch according to the image corresponding to the plant branch;

[0017] The image area of the plant branches and leaves is divided based on the midline position;

[0018] The number of pixels in each image area is counted, and the wind speed range is determined based on the ratio of the number of pixels.

[0019] Preferably, the step of screening the meteorological monitoring data according to the wind direction range and the wind speed range and sending the screening result specifically includes:

[0020] Determine the correspondence between meteorological monitoring data and environmental monitoring data according to their collection time;

[0021] Retrieve meteorological monitoring data with corresponding collection times and wind direction range and wind speed range calculated based on environmental monitoring data;

[0022] Screening is performed according to the wind direction range and wind speed range, and data beyond the wind direction range and wind speed range are eliminated to obtain the screening results and send them out.

[0023] Preferably, the screening results are encrypted before being issued.

[0024] Preferably, the connected area formed by the pixel points whose gray value difference does not exceed the preset value is an independent color area.

[0025] Another object of an embodiment of the present invention is to provide a regional weather station remote control system, the system comprising:

[0026] A data acquisition module, used to acquire meteorological monitoring data and environmental monitoring data, wherein the environmental monitoring data includes infrared monitoring video and visible light monitoring video;

[0027] The wind direction recognition module is used to extract picture frames from infrared surveillance videos, identify plant branches based on the picture frames, and determine the wind direction range;

[0028] The wind speed identification module is used to divide the positions of plant branches and leaves and determine the wind speed range according to the distribution positions of plant branches and leaves;

[0029] A data screening module, configured to screen meteorological monitoring data according to a wind direction range and a wind speed range, and send out the screening result.

[0030] Preferably, the wind direction recognition module includes:

[0031] A screen extraction unit, configured to extract corresponding screen frames from the infrared monitoring video at a preset extraction interval;

[0032] A branch recognition unit, configured to determine the position of the plant branch according to the color area distribution in the screen frame;

[0033] A wind direction calculation unit, configured to calculate the bending direction of the plant branch according to the edge curve of the plant branch, and determine the wind direction range.

[0034] Preferably, the wind speed recognition module includes:

[0035] A center line recognition unit, configured to determine the center line position of the plant branch according to the image corresponding to the plant branch;

[0036] A region division unit, configured to divide the picture region of the plant branches and leaves with the center line position as the boundary;

[0037] A pixel statistics unit, configured to count the number of pixels in each picture region, and determine the wind speed range according to the ratio of the number of pixels in each region.

[0038] Preferably, the data screening module includes:

[0039] A data mapping unit, configured to determine the corresponding relationship between the meteorological monitoring data and the environmental monitoring data according to the acquisition time;

[0040] A data retrieval unit, configured to retrieve the meteorological monitoring data with mutually corresponding acquisition times, as well as the wind direction range and the wind speed range calculated according to the environmental monitoring data;

[0041] A data transmission unit, configured to screen according to the wind direction range and the wind speed range, eliminate the data beyond the wind direction range and the wind speed range, obtain the screening result and send it out.

[0042] A method for remotely controlling a regional weather station provided by an embodiment of the present invention analyzes the monitoring screen in real time by performing infrared monitoring and visible light monitoring on the area near the weather station, so as to determine the current wind direction and wind speed according to the analysis result, and accordingly screen the wind speed data and wind direction data measured by the weather station to eliminate the untrue part thereof. When data is continuously eliminated, a warning message is actively sent out to prompt relevant personnel to perform maintenance. Description of the Drawings

[0043] Figure 1Flow chart of a method for remotely controlling a regional weather station provided by an embodiment of the present invention;

[0044] Figure 2 Flow chart of the steps of extracting a frame from an infrared monitoring video, identifying a plant branch according to the frame, and determining a wind direction range provided by an embodiment of the present invention;

[0045] Figure 3 Flow chart of the steps of dividing the positions of plant branches and leaves and determining a wind speed range according to the distribution positions of the plant branches and leaves provided by an embodiment of the present invention;

[0046] Figure 4 Flow chart of the steps of screening meteorological monitoring data according to the wind direction range and the wind speed range and sending out the screening result provided by an embodiment of the present invention;

[0047] Figure 5 Architecture diagram of a regional weather station remote control system provided by an embodiment of the present invention;

[0048] Figure 6 Architecture diagram of a wind direction identification module provided by an embodiment of the present invention;

[0049] Figure 7 Architecture diagram of a wind speed identification module provided by an embodiment of the present invention;

[0050] Figure 8 Architecture diagram of a data screening module provided by an embodiment of the present invention. Detailed implementation manners

[0051] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0052] It can be understood that the terms "first", "second", etc. used in the present application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of the present application, the first xx script may be called the second xx script, and similarly, the second xx script may be called the first xx script.

[0053] Ecological automatic weather stations can monitor many meteorological elements, including: wind speed, wind direction, air temperature, humidity, atmospheric pressure, light, optical rainfall, PM2.5, PM10, noise and other meteorological elements. Moreover, regional ecological automatic weather stations can be used in many fields, mainly including meteorology, agriculture, forestry, environmental protection, ocean, airport, port, scientific expedition, campus education and other fields. In order to ensure the accuracy of meteorological data, a large number of weather stations need to be set up. However, when a weather station malfunctions, such as a breakdown, the data it uploads will affect the accuracy of the entire monitoring data, and the existing weather stations cannot screen the data they collect.

[0054] In the present invention, by performing infrared monitoring and visible light monitoring on the area near the weather station, and analyzing the monitoring images in real time, the current wind direction and wind speed are determined according to the analysis results. Accordingly, the wind speed data and wind direction data measured by the weather station are screened to eliminate the untrue parts. When data is continuously eliminated, a warning message is actively sent to prompt relevant personnel to perform maintenance.

[0055] As Figure 1 shown, it is a flowchart of a method for remotely controlling a regional weather station provided by an embodiment of the present invention. The method includes:

[0056] S100, obtaining meteorological monitoring data and environmental monitoring data, where the environmental monitoring data includes infrared monitoring video and visible light monitoring video.

[0057] In this step, meteorological monitoring data and environmental monitoring data are obtained. There are various sensors installed in the weather station. Therefore, the wind direction and wind speed can be measured through the weather station. However, whether it is extreme weather or an abnormality in the weather station's measuring device, it may cause the data to exceed the normal range. By setting up monitoring equipment in the weather station, the environment is imaged through the monitoring equipment. Specifically, the monitoring equipment includes an infrared imaging device and a visible light imaging device, and the surrounding trees are photographed through the monitoring equipment to obtain environmental monitoring data.

[0058] S200, extracting frame images from the infrared monitoring video, identifying the branches of plants based on the frame images, and determining the wind direction range.

[0059] In this step, frame images are extracted from the infrared monitoring video. Since infrared imaging is different from visible light imaging, the temperature of different positions of the tree is different. Therefore, during the infrared imaging process, the position of the branches of the current tree can be clearly distinguished, and then the position of the current tree is recorded. The general direction of the current wind direction is determined according to the bending direction of the main branches of the tree to obtain the wind direction range. Then, when the wind direction angle collected by the weather station is within the wind direction range, it is valid data; otherwise, it is invalid data. The magnitude of the wind force can also be preliminarily judged according to the bending degree of the tree, so as to determine whether the current is in an extreme weather condition.

[0060] S300. Divide the positions of plant branches and leaves, and determine the wind speed range according to the distribution positions of the plant branches and leaves.

[0061] In this step, when dividing the positions of plant branches and leaves, the infrared imaging device and the visible light imaging device are used to take pictures from the same position and at the same angle, and the content of the two pictures is the same. Therefore, according to the position of the tree trunk in the infrared monitoring video, the position of the tree trunk in the frame image of the visible light monitoring video can be determined. Then, taking this tree trunk as the dividing line, the plant branches and leaves are divided into two parts. When the wind blows the tree, the leaves on the windward side will deflect to the other side with the wind, which will lead to different distributions of the number of leaves on both sides of the tree trunk. The greater the wind speed, the greater the difference in the number of leaves on both sides. Therefore, the distribution ratio of the leaves can be determined according to the number of pixels at the positions of the leaves on both sides, and the current wind speed is determined by querying the preset wind speed comparison table for leaf distribution according to the distribution ratio to obtain the wind speed range.

[0062] S400. Screen the meteorological monitoring data according to the wind direction range and the wind speed range, and send out the screening results.

[0063] In this step, when screening the meteorological monitoring data according to the wind direction range and the wind speed range, when the data monitored by the weather station exceeds the wind direction range or the wind speed range, it indicates that the data is abnormal and can be excluded. Through the present invention, invalid data can be excluded at the weather station, which not only reduces the data transmission volume but also improves the data validity.

[0064] As Figure 2 shown, as a preferred embodiment of the present invention, the steps of extracting frame images from the infrared monitoring video, identifying plant branches according to the frame images, and determining the wind direction range specifically include:

[0065] S201. Extract corresponding frame images from the infrared monitoring video at a preset extraction interval.

[0066] In this step, corresponding picture frames are extracted from the infrared monitoring video at a preset extraction interval. Specifically, the corresponding extraction interval is selected according to the frame rate of the infrared monitoring video. The higher the frame rate of the infrared monitoring video, the corresponding increase in the extraction interval. For example, if its frame rate is 60, then after every 29 frames of the picture, one frame of the picture is taken, that is, two frames of the picture are taken per second.

[0067] S202. Determine the position of the plant branches according to the color area distribution in the picture frame.

[0068] In this step, the position of the plant branches is determined according to the color area distribution in the picture frame. The area is divided according to the color of each pixel, so as to identify the outline of the branches, and the position of the main branches is determined according to the thickness of each part of the outline.

[0069] S203. Calculate the bending direction of the plant branches according to the edge curve of the plant branches, and determine the wind direction range.

[0070] In this step, the bending direction of the plant branches is calculated according to the edge curve of the plant branches, the edge position of the plant branches is identified, so as to determine the center line of the branches. The angle between the current position and the actual position of the branches is compared, and the wind direction range is determined according to the angle by querying the preset angle-wind direction comparison table.

[0071] As Figure 3 shown, as a preferred embodiment of the present invention, the step of dividing the position of the plant branches and leaves and determining the wind speed range according to the distribution position of the plant branches and leaves specifically includes:

[0072] S301. Determine the center line position of the plant branches according to the image corresponding to the plant branches.

[0073] In this step, the position of the plant branches in the picture frame corresponding to the infrared monitoring video is identified. Specifically, the pixel positions forming the plant branches are recorded, so as to determine the corresponding position of the plant branches in the visible light monitoring video, and then the position where the center line is located is determined.

[0074] S302. Divide the picture area of the plant branches and leaves with the center line position as the boundary.

[0075] In this step, the picture area of the plant branches and leaves is divided with the center line position as the boundary. First, the area covered by the leaves is identified, and then the area is divided according to the position of the center line. When the length of the center line is not enough to divide the entire area, the center line is extended along the tangent line at the end of the center line, so as to divide the picture area into two parts; the pixel points with the gray value difference of the pixels not exceeding the preset value form a connected area as an independent color area.

[0076] S303. Count the number of pixels in each picture area, and determine the wind speed range according to the proportion of the number of pixels in each area.

[0077] In this step, count the number of pixels in each image area, that is, count the number of pixels contained in each of the two parts. For example, if the number of pixels in area A is a and the number of pixels in area B is b, then the ratio between the two is a / b. Furthermore, query the preset wind speed comparison table for leaf distribution to determine the current wind speed range.

[0078] As Figure 4 shown, as a preferred embodiment of the present invention, the step of screening the meteorological monitoring data according to the wind direction range and the wind speed range and sending out the screening result specifically includes:

[0079] S401, determine the corresponding relationship between the meteorological monitoring data and the environmental monitoring data according to the acquisition time of the meteorological monitoring data and the environmental monitoring data.

[0080] In this step, determine the respective time axes of the meteorological monitoring data and the environmental monitoring data, so as to obtain the time corresponding to each monitoring picture and the time when each meteorological monitoring data is generated. The meteorological monitoring data and the environmental monitoring data generated at the same moment are mutually corresponding.

[0081] S402, retrieve the meteorological monitoring data with mutually corresponding acquisition times and the wind direction range and the wind speed range calculated according to the environmental monitoring data.

[0082] S403, perform screening according to the wind direction range and the wind speed range, eliminate the data beyond the wind direction range and the wind speed range, and send out the screening result.

[0083] In this step, retrieve the meteorological monitoring data generated at the same moment, and thus extract the corresponding wind speed and wind direction therefrom. Determine whether the wind speed is within the wind speed range and whether the wind direction is within the wind direction range. If it is not within them, it is regarded as invalid data and is eliminated. Otherwise, it is retained. The wind direction range is a large interval. For example, if the photographed plant is located due north, then according to the bending direction of the branches, it can be determined that the wind direction is from west to east or from east to west. Among them, from west to east includes west wind, northwest wind and southwest wind, and from east to west includes east wind, northeast wind and southeast wind. After screening, the retained data is encrypted and sent out.

[0084] As Figure 5 shown, a regional weather station remote control system provided by an embodiment of the present invention, the system includes:

[0085] A data acquisition module 100, configured to acquire meteorological monitoring data and environmental monitoring data, and the environmental monitoring data includes infrared monitoring video and visible light monitoring video.

[0086] In this system, the data acquisition module 100 acquires meteorological monitoring data and environmental monitoring data. There are various sensors installed in the meteorological station. Therefore, the wind direction and wind speed can be measured through the meteorological station. However, whether there is extreme weather or the measuring device in the meteorological station is abnormal, it may cause the data to exceed the normal range. By setting monitoring equipment in the meteorological station, the monitoring equipment collects images of the environment. Specifically, the monitoring equipment includes an infrared imaging device and a visible light imaging device. The surrounding trees are photographed through the monitoring equipment to obtain environmental monitoring data.

[0087] The wind direction recognition module 200 is used to extract frame images from the infrared monitoring video, identify the branches of plants according to the frame images, and determine the wind direction range.

[0088] In this system, the wind direction recognition module 200 extracts frame images from the infrared monitoring video. Since infrared imaging is different from visible light imaging, the temperature of different positions of the tree is different. Therefore, during the infrared imaging process, the position of the branches of the current tree can be clearly distinguished, and then the position of the current tree is recorded. According to the bending direction of the main branches of the tree, the general direction of the current wind direction is determined to obtain the wind direction range. Then, when the wind direction angle collected by the meteorological station is within the wind direction range, it is valid data; otherwise, it is invalid data. The magnitude of the wind force can also be initially judged according to the bending degree of the tree, so as to determine whether it is in extreme weather at present.

[0089] The wind speed recognition module 300 is used to divide the positions of plant branches and leaves, and determine the wind speed range according to the distribution positions of the plant branches and leaves.

[0090] In this system, the wind speed recognition module 300 divides the positions of plant branches and leaves. The infrared imaging device and the visible light imaging device are photographed from the same position and the same angle, and the content of the two photographs is the same. Therefore, according to the position of the tree trunk in the infrared monitoring video, the position of the tree trunk in the frame image of the visible light monitoring video can be determined. Then, with this tree trunk as the dividing line, the plant branches and leaves are divided into two parts. When the wind blows the tree, the leaves on the windward side will deflect to the other side with the wind, which will lead to different distributions of the number of leaves on both sides of the tree trunk. The greater the wind speed, the greater the difference in the number of leaves on both sides. Therefore, the distribution ratio of the leaves can be determined according to the number of pixels at the positions of the leaves on both sides. The current wind speed is determined by querying the preset wind speed comparison table for leaf distribution according to the distribution ratio to obtain the wind speed range.

[0091] The data screening module 400 is used to screen the meteorological monitoring data according to the wind direction range and the wind speed range, and send out the screening results.

[0092] In this system, the data screening module 400 screens the meteorological monitoring data according to the wind direction range and the wind speed range. When the data monitored by the meteorological station exceeds the wind direction range or the wind speed range, it indicates that the data is abnormal and can be excluded. Through the present invention, invalid data can be excluded at the meteorological station, which not only reduces the data transmission volume but also improves the data validity.

[0093] As Figure 6 shown, as a preferred embodiment of the present invention, the wind direction recognition module 200 includes:

[0094] A frame extraction unit 201, configured to extract corresponding frame images from the infrared monitoring video according to a preset extraction interval.

[0095] In this module, the frame extraction unit 201 extracts corresponding frame images from the infrared monitoring video according to a preset extraction interval. Specifically, the corresponding extraction interval is selected according to the frame rate of the infrared monitoring video. The higher the frame rate of the infrared monitoring video, the corresponding extraction interval increases. For example, if its frame rate is 60, then after every 29 frames of images, one frame of image is taken, that is, two frames of images are taken per second.

[0096] A branch recognition unit 202, configured to determine the position of the plant branches according to the color area distribution in the frame image.

[0097] In this module, the branch recognition unit 202 determines the position of the plant branches according to the color area distribution in the frame image, divides the area according to the color of each pixel, thereby identifying the contour of the branches, and determines the position of the main branches according to the thickness of each part of the contour.

[0098] A wind direction calculation unit 203, configured to calculate the bending direction of the plant branches according to the edge curve of the plant branches and determine the wind direction range.

[0099] In this module, the wind direction calculation unit 203 calculates the bending direction of the plant branches according to the edge curve of the plant branches, identifies the edge position of the plant branches, thereby determines the midline of the branches, compares the angle between the current position and the actual position of the branches, and queries the preset angle-wind direction comparison table according to the angle to determine the wind direction range.

[0100] As Figure 7 shown, as a preferred embodiment of the present invention, the wind speed recognition module 300 includes:

[0101] A midline recognition unit 301, configured to determine the midline position of the plant branches according to the image corresponding to the plant branches.

[0102] In this module, the midline recognition unit 301 recognizes the position of the plant branches in the frame of the infrared monitoring video. Specifically, it records the pixel positions that make up the plant branches, thereby determining the corresponding position of the plant branches in the visible light monitoring video, and further determining the position of the midline.

[0103] The area division unit 302 is used to divide the picture area of the plant branches and leaves with the midline position as the boundary.

[0104] In this module, the area division unit 302 divides the picture area of the plant branches and leaves with the midline position as the boundary. First, it recognizes the area covered by the leaves, and then divides this area according to the position of the midline. When the length of the midline is not sufficient to divide the entire area, the midline is extended along the tangent line at the end of the midline, so as to divide the picture area into two parts; the pixel points with the difference in gray values of the pixels not exceeding the preset value form a connected area as an independent color area.

[0105] The pixel statistics unit 303 is used to count the number of pixels in each picture area and determine the wind speed range according to the proportion of the number of pixels in each area.

[0106] In this module, the pixel statistics unit 303 counts the number of pixels in each picture area, that is, counts the number of pixels contained in each of the two parts. For example, if the number of pixels in area A is a and the number of pixels in area B is b, then the ratio of the two is a / b. Then, it queries the preset wind speed comparison table for leaf distribution to determine the current wind speed range.

[0107] As Figure 8 shown, as a preferred embodiment of the present invention, the data screening module 400 includes:

[0108] The data mapping unit 401 is used to determine the corresponding relationship between the meteorological monitoring data and the environmental monitoring data according to the acquisition time.

[0109] In this module, the data mapping unit 401 determines the respective time axes of the meteorological monitoring data and the environmental monitoring data, so as to obtain the time corresponding to each monitoring picture and the time when each meteorological monitoring data is generated. The meteorological monitoring data and the environmental monitoring data generated at the same moment are corresponding to each other.

[0110] The data retrieval unit 402 is used to retrieve the meteorological monitoring data with mutually corresponding acquisition times and the wind direction range and wind speed range calculated according to the environmental monitoring data.

[0111] The data transmission unit 403 is used to screen according to the wind direction range and the wind speed range, eliminate the data exceeding the wind direction range and the wind speed range, and send out the screening result.

[0112] In this module, meteorological monitoring data generated at the same moment is retrieved, and the corresponding wind speed and wind direction are extracted therefrom. It is determined whether the wind speed is within the wind speed range and whether the wind direction is within the wind direction range. If not, it is regarded as invalid data and is excluded; otherwise, it is retained. The wind direction range is a large interval. For example, if the plant being photographed is located due north, then according to the bending direction of the branches, the wind direction can be determined to be from west to east or from east to west. Among them, from west to east includes west wind, northwest wind, and southwest wind, and from east to west includes east wind, northeast wind, and southeast wind. After screening, the remaining data is encrypted and sent out.

[0113] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless otherwise clearly stated in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily have to be executed at the same moment, but can be executed at different moments. The execution order of these sub-steps or stages does not necessarily have to be sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0114] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0115] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as falling within the scope described in this specification.

[0116] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

[0117] The foregoing is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for remotely controlling a regional weather station, characterized in that, The method includes: Obtaining meteorological monitoring data and environmental monitoring data, where the environmental monitoring data includes infrared monitoring videos and visible light monitoring videos; Extracting frame images from the infrared monitoring videos, identifying plant branches according to the frame images, and determining the wind direction range; Dividing the positions of plant branches and leaves, and determining the wind speed range according to the distribution positions of the plant branches and leaves; Screening the meteorological monitoring data according to the wind direction range and the wind speed range, and sending out the screening result; Among them, the step of extracting frame images from the infrared monitoring videos, identifying plant branches according to the frame images, and determining the wind direction range specifically includes: Extracting corresponding frame images from the infrared monitoring videos at a preset extraction interval; Determining the positions of plant branches according to the color area distribution in the frame images; Calculating the bending direction of the plant branches according to the edge curves of the plant branches, and determining the wind direction range; The step of dividing the positions of plant branches and leaves, and determining the wind speed range according to the distribution positions of the plant branches and leaves specifically includes: Determining the midline position of the plant branches according to the image corresponding to the plant branches; Dividing the picture area of the plant branches and leaves with the midline position as the boundary; Counting the number of pixels in each picture area, and determining the wind speed range according to the ratio of the number of pixels in each area.

2. The remote control method for the regional weather station according to claim 1, characterized in that, The step of screening the meteorological monitoring data according to the wind direction range and the wind speed range, and sending out the screening result specifically includes: Determining the corresponding relationship between the two according to the collection time of the meteorological monitoring data and the environmental monitoring data; Retrieving the meteorological monitoring data with corresponding collection times, as well as the wind direction range and the wind speed range calculated according to the environmental monitoring data; Screening according to the wind direction range and the wind speed range, removing the data beyond the wind direction range and the wind speed range, and obtaining and sending out the screening result.

3. The remote control method for the regional weather station according to claim 1, characterized in that Before sending out the screening result, encrypt it.

4. The remote control method for regional weather stations according to claim 1, wherein Pixel points with the difference in gray values of pixels not exceeding the preset value form a connected area as an independent color area.

5. A remote control system for a regional weather station, characterized in that, The system includes: A data acquisition module, used to obtain meteorological monitoring data and environmental monitoring data, where the environmental monitoring data includes infrared monitoring videos and visible light monitoring videos; A wind direction identification module, used to extract frame images from the infrared monitoring videos, identify plant branches according to the frame images, and determine the wind direction range; A wind speed identification module, used to divide the positions of plant branches and leaves, and determine the wind speed range according to the distribution positions of the plant branches and leaves; A data screening module, used to screen the meteorological monitoring data according to the wind direction range and the wind speed range, and send out the screening result; Among them, the wind direction identification module includes: A frame extraction unit, used to extract corresponding frame images from the infrared monitoring videos at a preset extraction interval; A branch identification unit, used to determine the positions of plant branches according to the color area distribution in the frame images; A wind direction calculation unit, used to calculate the bending direction of the plant branches according to the edge curves of the plant branches, and determine the wind direction range; The wind speed identification module includes: A midline identification unit, used to determine the midline position of the plant branches according to the image corresponding to the plant branches; A region division unit, used to divide the picture area of the plant branches and leaves with the midline position as the boundary; A pixel statistical unit is used to count the number of pixels in each picture area and determine the wind speed range according to the ratio of the number of pixels in each area.

6. The remote control system for regional weather stations according to claim 5, characterized in that, The data screening module includes: A data mapping unit is used to determine the corresponding relationship between the meteorological monitoring data and the environmental monitoring data according to the acquisition time; A data retrieval unit is used to retrieve the meteorological monitoring data with corresponding acquisition times and the wind direction range and wind speed range calculated according to the environmental monitoring data; A data transmission unit is used to screen according to the wind direction range and the wind speed range, eliminate the data beyond the wind direction range and the wind speed range, and send out the screening result.

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