Plant water-shortage wilting monitoring method and apparatus, and electronic device and medium

Abstract

The present application relates to the technical field of plant growth monitoring. Provided are a plant water-shortage wilting monitoring method and apparatus, and an electronic device and a medium. The method comprises: acquiring target point cloud data obtained by means of a target scanner scanning a target plant, wherein the target plant is a plant at a target observation point in a region where a photovoltaic station is located, and the target point cloud data comprises color point cloud data formed by means of color data of all pixel points corresponding to the target plant; determining the number of pieces of first specified color data among the color point cloud data; and when the number of pieces of the first specified color data has reached a threshold value corresponding to a target early-warning level, giving a water-shortage wilting prompt for the target plant, and controlling a mobile device corresponding to the target early-warning level, so as to perform corresponding processing on the target plant. The method increases the survival rate of plants.

Description

Plant water shortage and wilting monitoring method, device, electronic equipment and medium

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on September 19, 2023, with application number 202311212123.7 and application name “Method, device, electronic equipment and medium for monitoring plant water deficiency and wilting”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the technical field of plant growth monitoring, and more specifically, to a method, device, electronic equipment and medium for monitoring plant water shortage and wilting. Background Art

[0003] Solar power generation is convenient, efficient, and land-saving, leading to the widespread construction of photovoltaic (PV) plants in the deserts and other areas of Northwest China. However, desertification remains a serious ecological and environmental problem, posing a significant threat to ecological security and hindering the development of ecological civilization. It is a critical issue that must be urgently addressed in promoting scientific development. Consequently, in Northwest China, most PV plants are being constructed using a "PV + Sand Control" approach, aiming to achieve both PV industry development and desert ecological management.

[0004] Due to the dry climate, high temperatures, low rainfall, and severe weather conditions in the Northwest region year-round, plant survival rates are low. To ensure the normal growth of plants within photovoltaic stations and reduce maintenance costs, it is particularly important to monitor seedling growth and wilting due to water shortages in real time, and to implement timely watering maintenance, especially during the initial transplanting phase.

[0005] In this context, there is currently no economical, convenient and efficient quantitative method for photovoltaic desertification control plant growth monitoring and water shortage wilting early warning.

[0006] Summary of the Invention

[0007] The present application provides a method, device, electronic device and medium for monitoring plant wilting due to water shortage, so as to solve the problem of low survival rate caused by plant water shortage in the prior art.

[0008] According to a first aspect of the present application, a method for monitoring plant wilting due to water shortage is provided, comprising:

[0009] Obtain target point cloud data obtained by scanning a target plant with a target scanner; wherein the target plant is a plant at a target observation point within the area where the photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant;

[0010] Determining the amount of first specified color data in the color point cloud data;

[0011] When the amount of the first designated color data reaches a threshold corresponding to a target warning level, the target plant is prompted with water shortage and wilting, and a mobile device corresponding to the target warning level is controlled to perform corresponding processing on the target plant.

[0012] Optionally, the first designated color data is pale yellow data;

[0013] When the amount of the first designated color data reaches a threshold corresponding to the target warning level, a water shortage and wilting prompt is given to the target plant, including any of the following:

[0014] When the amount of the withered and yellow data reaches a first threshold corresponding to a first warning level, providing a water shortage prompt to the target plant using a prompt method corresponding to the first warning level;

[0015] When the amount of withered and yellow data reaches a second threshold corresponding to a second warning level, a wilting prompt is provided to the target plant using a prompt method corresponding to the second warning level; wherein the second warning level is higher than the first warning level, and the second threshold is greater than the first threshold. Optionally, controlling the mobile device corresponding to the target warning level to perform corresponding processing on the target plant includes any of the following:

[0016] Sending the location information and the irrigation water volume of the target plant to a first mobile device corresponding to the first warning level, so that the first mobile device moves to the target location and irrigates the target plant;

[0017] The location information of the target plant and the location information of the target plant seedling easing zone are sent to a second mobile device corresponding to the second warning level, so that the second mobile device can move the target plant to the target plant seedling easing zone; wherein the light intensity of the target plant seedling easing zone is lower than the light intensity of the location of the target plant, and / or the temperature of the target plant seedling easing zone is lower than the temperature of the location of the target plant.

[0018] Optionally, the method further includes:

[0019] Acquiring soil moisture information obtained by measuring a target observation point in the photovoltaic station using a humidity sensor;

[0020] The amount of sprinkler irrigation water is calculated based on the soil moisture information and the water required by the target plant.

[0021] Optionally, the target point cloud data includes three-dimensional point cloud data composed of three-dimensional data of all pixel points corresponding to the target plant; the method further includes:

[0022] Identifying growth data of the target plant at each time node based on the second specified color data in the color point cloud data acquired at multiple time nodes and the three-dimensional point cloud data acquired at multiple time nodes; wherein the growth data includes: crown area, plant height, and / or number of leaves;

[0023] Calculating the leaf growth index of the target plant at each time point based on the growth data of the target plant at each time point;

[0024] Data fitting is performed based on the leaf growth index of the target plant at each time point to obtain a plant leaf growth curve; the plant leaf growth curve is used to reflect the growth condition of the target plant.

[0025] Optionally, after obtaining soil moisture information obtained by measuring a target observation point in the photovoltaic station using a humidity sensor, the method further includes:

[0026] Obtaining soil quality information and photovoltaic module parameter information at a target observation point within the photovoltaic station area; wherein the photovoltaic module parameter information includes photovoltaic module weight information, angle information between the screw pile in the photovoltaic module and the ground, and / or wind force information acting on the photovoltaic module;

[0027] The stability information of the screw pile is determined according to the soil moisture content information, the soil quality information and the parameter information of the photovoltaic module.

[0028] Optionally, when the area where the photovoltaic station is located includes areas with multiple terrain heights, the method further includes:

[0029] For each area of ​​terrain height, set at least one observation point.

[0030] According to a second aspect of the present application, a plant water shortage and wilting monitoring device is provided, comprising:

[0031] An acquisition module is used to acquire target point cloud data obtained by scanning a target plant with a target scanner; wherein the target plant is a plant at a target observation point in the area where the photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant.

[0032] The determining module is configured to determine the amount of first designated color data in the color point cloud data.

[0033] The processing module is used to provide a water shortage and wilting prompt to the target plant when the amount of the first designated color data reaches a threshold corresponding to the target warning level, and control the mobile device corresponding to the target warning level to perform corresponding processing on the target plant.

[0034] According to a third aspect of the present application, there is provided an electronic device, comprising: at least one processor and a memory;

[0035] The memory stores computer-executable instructions;

[0036] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the plant water shortage and wilting monitoring method as described in the first aspect above.

[0037] According to a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the plant water shortage and wilting monitoring method as described in the first aspect above.

[0038] According to a fifth aspect of the present application, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the plant water shortage and wilting monitoring method according to the first aspect.

[0039] The present application provides a method for monitoring plant water shortage and wilting, comprising: obtaining target point cloud data obtained by scanning a target plant with a target scanner; wherein the target plant is a plant at a target observation point within an area where a photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant; determining the number of first specified color data in the color point cloud data; when the number of first specified color data reaches a threshold value corresponding to a target warning level, providing a water shortage and wilting prompt to the target plant, and controlling a mobile device corresponding to the target warning level to perform corresponding processing on the target plant.

[0040] The color point cloud data in the above method has the characteristics of high precision and high resolution, and can completely restore the color of plants in real scenes; based on this, the present application can quickly realize the water shortage and wilting prompt of plants by comparing the number of first specified color data with the threshold corresponding to the target warning level, and then realize timely treatment of the target plants, which is efficient and convenient, and ultimately improves the survival rate of plants.

[0041] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] FIG1 is a schematic flow chart of a method for monitoring plant wilting due to water shortage provided in an embodiment of the present application;

[0044] FIG2 is a schematic diagram of the operation of the target scanner provided in an embodiment of the present application;

[0045] FIG3 is a schematic diagram of the distribution of humidity sensors provided in an embodiment of the present application;

[0046] FIG4 is a schematic diagram of a leaf growth curve provided in an embodiment of the present application;

[0047] FIG5 is a flow chart of another method for monitoring plant wilting due to water shortage provided in an embodiment of the present application;

[0048] FIG6 is a schematic structural diagram of a plant water shortage and wilting monitoring device provided in an embodiment of the present application;

[0049] FIG7 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.

[0050] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0051] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different drawings represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this application.

[0052] Due to the long-term dry climate, high temperatures, low rainfall, and severe weather conditions such as sandstorms in the Northwest region, plant survival rates are low. To ensure the normal growth of plants planted within photovoltaic (PV) sites and reduce maintenance costs, real-time monitoring of seedling growth and water wilting, along with timely watering, is crucial, especially during the initial transplanting phase. Against this backdrop, there is currently no economical, convenient, and efficient quantitative method for monitoring plant growth and providing early warning of water wilting in photovoltaic (PV) sand control projects.

[0053] In order to solve the above technical problems, the overall inventive concept of this application is to provide a method for improving plant survival rate in the field of plant growth monitoring.

[0054] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0055] Example 1:

[0056] The embodiment of the present application provides a method for monitoring plant water shortage and wilting, which can realize plant growth monitoring and water shortage and wilting prompts, greatly improving the plant survival rate in the "photovoltaic + desertification control" project, and can obtain growth data of different plant types, providing technical support for further analysis of the adaptability of plants to grow in the desert in the future.

[0057] FIG1 is a flow chart of a method for monitoring plant wilting due to water shortage provided in an embodiment of the present application. As shown in FIG1 , the method of this embodiment includes the following steps:

[0058] S10. Obtain target point cloud data obtained by scanning a target plant with a target scanner; wherein the target plant is a plant at a target observation point within the area where the photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant.

[0059] It should be understood that the area where a photovoltaic station is located is also referred to as a photovoltaic area. As shown in Figure 2, the target scanner 100 is a three-dimensional laser scanner, also known as a monitor. The terminal device 200, which can be a computer or other device connected to the target scanner 100, is used to acquire target point cloud data and store and analyze it. The power supply 300 supplies power to the terminal device 200, which can also serve as a power source to power the target scanner 100.

[0060] Optionally, the target scanner 100 includes at least one of the following: an RGB device (or RGB camera), an infrared transmitter, and a 3D depth sensor; wherein the 3D depth sensor is composed of three lenses of an infrared camera.

[0061] In this method, the hardware design of this embodiment mainly includes: photovoltaic components, three-dimensional laser scanners and computers and other equipment, wherein the photovoltaic components are composed of screw piles, photovoltaic panels and photovoltaic brackets. The three-dimensional laser scanner includes: a 3D depth sensor composed of three lenses of an RGB device, an infrared emitter and an infrared camera. Computer processing software runs on the computer, and the computer processing software can be open source software. The OpenCV library (or other libraries, which are not specifically limited in the embodiment of the present application) is called on the software and the scanning parameters are set to collect the target point cloud data at the specified observation point. The collected target point cloud data is then sent to a third-party running software for analysis to analyze the growth status of photovoltaic sand control plants and water shortage and wilting prompt information.

[0062] Optionally, in addition to being used for generating electricity, the photovoltaic panels can also provide shade areas for plants according to changes in sunlight.

[0063] S20. Determine the number of first designated color data in the color point cloud data. The first designated color data is a pale yellow color, which may refer to an RGB color value of (211, 199, 125), or other color values ​​similar to this color value, such as (211, 191, 125) or (211, 1842, 125). This embodiment of the application does not specifically limit the range of these color values ​​or the number of these color values.

[0064] S30. When the amount of the first designated color data reaches a threshold corresponding to the target warning level, a water shortage and wilting prompt is given to the target plant, and a mobile device corresponding to the target warning level is controlled to perform corresponding processing on the target plant.

[0065] For example, when the amount of water shortage is small and the target warning level is low, a water shortage reminder is issued, and the plants are then watered by sprinkler irrigation; when the amount of water shortage is large, the water shortage time is long, and the target warning level is high, this embodiment can initiate a wilting reminder to save the withered plants, and then cut off all the dry and shrunken branches and leaves of the plants by controlling the mobile device, and then replace them with loose and fertile soil. In addition, this embodiment can also control the mobile device to move the plants to a ventilated and breathable semi-shady environment (for example, the photovoltaic field can be equipped with an independent plant seedling acclimatization area) for acclimatization, control the room temperature at about 20°C, allow the plants to grow new green leaves, and then transplant the plants to their original locations.

[0066] The color point cloud data in the above method has the characteristics of high precision and high resolution, and can completely restore the color of plants in real scenes; based on this, the present application can quickly realize the water shortage and wilting prompt of plants by comparing the number of first specified color data with the threshold corresponding to the target warning level, and then realize timely treatment of the target plants, which is efficient and convenient, and ultimately improves the survival rate of plants.

[0067] In one possible implementation, the first designated color data is withered yellow data; then step S30, when the amount of the first designated color data reaches a threshold corresponding to the target warning level, prompting the target plant that it is wilting due to water shortage includes any of the following:

[0068] The first item is that when the amount of withered and yellow data reaches a first threshold corresponding to a first warning level, a water shortage reminder is given to the target plant using a reminder method corresponding to the first warning level.

[0069] Item 2: When the amount of withered and yellow data reaches a second threshold corresponding to a second warning level, a wilting prompt is given to the target plant using a prompt method corresponding to the second warning level; wherein, the second warning level is higher than the first warning level, and the second threshold is greater than the first threshold.

[0070] The embodiment of the present application does not specifically limit the number of target warning levels, and can be 2, 3, 4, etc. In the embodiment of the present application, when the amount of withered and yellow data reaches a second threshold corresponding to the second warning level, the mobile device can be controlled to cut off all the dry and shrunken branches and leaves of the plant and then replace them with loose and fertile soil.

[0071] In this way, the present embodiment can quickly determine the water shortage of plants, provide targeted prompts, improve prompt efficiency, and thus improve the survival rate of plants.

[0072] In a possible implementation, in step S30, controlling a mobile device corresponding to the target warning level to perform corresponding processing on the target plant includes any of the following:

[0073] The first item is to send the location information and the amount of irrigation water of the target plant to the first mobile device corresponding to the first warning level, so that the first mobile device can move to the target location and irrigate the target plant.

[0074] The second item is to send the location information of the target plant and the location information of the target plant seedling acclimatization area to the second mobile device corresponding to the second warning level, so that the second mobile device can move the target plant to the target plant seedling acclimatization area; wherein the light intensity of the target plant seedling acclimatization area is lower than the light intensity of the location where the target plant is located, and / or the temperature of the target plant seedling acclimatization area is lower than the temperature of the location where the target plant is located.

[0075] In this way, the present embodiment can quickly determine the water shortage of plants and provide targeted treatment methods, thereby improving the timeliness of treatment and further improving the survival rate of plants.

[0076] In a possible implementation, the method further includes:

[0077] S40: Acquire soil moisture information obtained by measuring a target observation point in a photovoltaic station with a humidity sensor.

[0078] It should be understood that humidity sensors may also be called moisture sensors, temperature and humidity sensors, etc. As shown in Figure 3, the main desertification control plants in the photovoltaic field are Haloxylon ammodendron plants, and the root distribution of Haloxylon ammodendron plants is mainly concentrated in the surface 30 cm. Therefore, in the embodiment of the present application, humidity sensors can be set every 10 cm on the side of the root system, with a total of three humidity sensors on the side, and another humidity sensor at a depth of 40 cm. The purpose of setting the first three humidity sensors is to understand the root water absorption and soil moisture distribution; the purpose of setting the last humidity sensor is to understand the surface water content. The working principle of the humidity sensor is: data acquisition, data collection, and data transmission to the cloud platform or to the terminal device.

[0079] When other plants are selected as desertification control plants, the embodiment of the present application can perform adaptive design of the position and number of humidity sensors based on the root distribution information of the corresponding plants to ensure the accuracy of the acquired soil moisture information.

[0080] S50: Calculate the amount of sprinkler irrigation water based on the soil moisture information and the water required by the target plants.

[0081] The embodiment of the present application can accurately calculate the reasonable amount of sprinkler irrigation water, prevent the root system of the target plant from being soaked and rotten due to excessive irrigation in the later stage, and achieve the effect of rational use of water resources.

[0082] Optionally, in the desert, the soil mainly contains quartz, with a small amount of feldspar, mica, biotite, amphibole, etc. In a dry environment, the soil is alkaline and has a low water content, which cannot promote plant growth. Therefore, the humidity sensor can monitor the soil moisture content in real time. When the soil moisture content is lower than the preset threshold, sprinkler irrigation is carried out to ensure that the plants are in a moist environment.

[0083] The humidity sensor can identify whether the roots are experiencing water stress. If so, it can be confirmed that the yellowing of the plant leaves is due to water shortage and wilting. If the roots are not experiencing water stress, it can be confirmed that the yellowing of the plant leaves is due to other reasons (due to strong sunlight, insufficient nutrients, etc.).

[0084] Since this application mainly considers the situation where plant leaves turn yellow due to lack of water, in order to accurately identify the specific cause of the plant leaves turning yellow, this embodiment can install a temperature sensor underground or above ground to obtain the temperature of the soil or air in real time, thereby effectively eliminating the phenomenon of plant leaves turning yellow due to strong sunlight exposure. This embodiment can install an element monitoring device underground to obtain the content of each element in real time, thereby effectively eliminating the phenomenon of plant leaves turning yellow due to insufficient nutrients.

[0085] In this embodiment, if the plant leaves are exposed to strong sunlight, they may turn yellow and dry. Therefore, when the light is too strong in summer, this embodiment can build a sunshade net above the plant to weaken the intensity of the light; this embodiment can also regularly spray water around the plant leaves to allow the plant to resume growth as soon as possible.

[0086] In this embodiment, carbon (C), hydrogen (H), oxygen (O), nitrogen (N), phosphorus (P), potassium (K) and other elements are macroelements that constitute the organic structure of plants and participate in enzymatic reactions and osmotic regulation. Trace elements in the desert mainly include silicon (Si), oxygen (O), calcium (Ca), sodium (Na), potassium (K), iron (Fe), phosphorus (P), etc. Therefore, when plant leaves are deficient in nutrients, the main reason for them to turn yellow is the lack of nitrogen (N), phosphorus (P) and other elements. This embodiment can control the corresponding mobile device to apply nitrogen fertilizer, phosphorus fertilizer, etc. to the plants.

[0087] Therefore, in addition to reasons such as strong sunlight exposure and insufficient nutrients, the main reason for the yellowing of plant leaves is lack of water. At this time, the mobile device can be controlled to water the plant.

[0088] In one possible implementation, the target point cloud data includes three-dimensional point cloud data composed of three-dimensional data of all pixel points corresponding to the target plant; the method further includes the following steps:

[0089] S60. Identify the growth data of the target plant at each time node based on the second specified color data in the color point cloud data obtained at multiple time nodes and the three-dimensional point cloud data obtained at multiple time nodes; wherein the growth data includes: crown area, plant height and / or number of leaves.

[0090] S70: Calculate the leaf growth index of the target plant at each time point based on the growth data of the target plant at each time point. The leaf growth index is also called the leaf area index.

[0091] S80: Perform data fitting based on the leaf growth index of the target plant at each time point to obtain a plant leaf growth curve; the plant leaf growth curve is used to reflect the growth of the target plant. The plant leaf growth curve is also called a leaf growth fitting curve.

[0092] As shown in FIG4 , the embodiment of the present application uses the plant's early growth data (such as leaf number, crown area, height, etc.) to fit a leaf growth curve by data point fitting. The expression of the curve is: LAI(t)=at 3 -bt 2 +ct;

[0093] Where LAI(t) = at 3 -bt 2 +ct is the leaf area index of the plant in the tth month, a, b and c are all coefficients, and the corresponding values ​​can be obtained by fitting.

[0094] In summary, the embodiment of the present application adopts the following technical solutions: in order to realize the growth monitoring and water shortage and wilting prompt of photovoltaic sand control plants, the method uses a three-dimensional laser scanner and an RGB camera set by a computer program to extract green and withered yellow parameters. The green color is extracted to calculate the change of the plant's leaf area index, and the withered yellow color is extracted to achieve the effect of early warning in the early stage of plant water shortage and wilting. Afterwards, the present embodiment collects point cloud data in real time, performs data analysis on the point cloud data according to the threshold values ​​corresponding to green and withered yellow set in the program, and transmits the entire set of data to the third-party software. The size of the leaf area index reflects the growth of the plant. When the withered yellow color of the plant leaves reaches a specified threshold, the present embodiment can send a prompt signal through the program in the third-party software, for example: the software immediately sends a red signal on the page. The above only conducts specific monitoring of a certain observation point in the photovoltaic field.

[0095] The plant water shortage and wilting monitoring method provided in this embodiment can realize the growth monitoring and water shortage and wilting early warning of photovoltaic desertification control plants. The process is simple and can observe the development and changes of plant growth and wilting in real time, thereby ensuring the survival rate of plants.

[0096] In one possible implementation, after obtaining soil moisture information measured by a humidity sensor at a target observation point in a photovoltaic station in step S40, the method further includes the following steps:

[0097] S90. Obtain soil information and parameter information of photovoltaic modules at target observation points within the area where the photovoltaic station is located; wherein the parameter information of the photovoltaic modules includes weight information of the photovoltaic modules, angle information between the screw piles in the photovoltaic modules and the ground, and / or wind force information acting on the photovoltaic modules.

[0098] S100: Determine stability information of the screw pile based on soil moisture information, soil quality information, and parameter information of the photovoltaic module.

[0099] The embodiment of the present application conducts the following analysis on the setting of the above-mentioned spiral piles: according to the root depth of the plant at maturity, the shear strength of the root-containing soil is calculated at different depths of the original soil. At the same time, the length of the spiral pile underground can be superimposed according to the shear strength of the root-containing soil at different depths. Through the object balance force analysis, the maximum value of the spiral pile's anti-tilt ability is equal to the sum of the shear strength of the root-containing soil at different depths under root growth. That is to say, when setting the shear strength of the spiral pile, this embodiment can take into account the growth of plants in the later stage and set the length of the spiral pile underground according to the shear strength of the soil at maturity of the plant. It should be noted that the shear strength of the spiral pile + the shear strength of the root-containing soil ≥ K, and the K value is the maximum value of the spiral pile affected by changes in soil moisture content, wind force, photovoltaic panels and the total amount of brackets.

[0100] It can be seen that the stability of spiral piles is greatly affected by soil quality, soil moisture content, weight of photovoltaic modules, and wind force. Plants in the desert can play a role in sand fixation to ensure the stability of spiral piles.

[0101] Because plants help stabilize sand, if plant growth is consistently good, the depth of the screw piles can be set shallower, reducing the difficulty of installation. If the screw piles are less stable, this embodiment can reinforce them to improve the safety of the photovoltaic modules. For example, tilted screw piles can be corrected and tripods added.

[0102] Through the above operations, the embodiment of the present application can ensure the safety of photovoltaic modules, avoid the decrease in power generation caused by the cessation of operation of photovoltaic modules in situations where safety is poor, and effectively maintain the photovoltaic power station in a stable operation state for a long time.

[0103] In a possible implementation, when the area where the photovoltaic station is located includes multiple areas of terrain height, the method further includes: setting at least one observation point for each area of ​​terrain height.

[0104] This embodiment can expand the monitoring area of ​​a photovoltaic station to the entire photovoltaic area. Assuming that different terrain heights in the photovoltaic area correspond to different moisture contents, and the same terrain height has the same moisture content, this embodiment can set up multiple observation points throughout the photovoltaic area based on terrain height, adjacent edges of the area, and wind direction patterns of the area, thereby reflecting the plant growth conditions throughout the photovoltaic area and facilitating real-time data collection and analysis by the backend.

[0105] For example, this embodiment can be divided into three observation points: low, medium, and high, based on the site terrain. The first step is to measure the corresponding observation ranges of the low, medium, and high sites using a GPS area meter. The second step is to observe the moisture distribution at each observation point based on the distribution of humidity sensors in Figure 3. At the same time, this embodiment can set up grass grids and humidity sensors in areas around the photovoltaic site that are significantly affected by wind erosion to observe moisture changes in real time. Furthermore, after observing plant growth for a period of time, more dense observation points are set up for plant areas with a high number of warnings, allowing for timely analysis of the causes of the warnings. The third step is to ensure that the organic matter required for plant growth is met, and the water supply is analyzed based on the data obtained by the humidity sensors, controlling the soil moisture content to approximately 60%.

[0106] The plant water shortage and wilting monitoring method provided in this embodiment can realize the growth monitoring and water shortage and wilting early warning of photovoltaic desertification control plants. The process is simple and can observe the development and changes of plant growth and wilting in real time, thereby ensuring the survival rate of plants.

[0107] Based on the above embodiments, the technical solution of the present application is described in more detail below in combination with several specific embodiments.

[0108] Example 2:

[0109] FIG5 is a flow chart of another method for monitoring plant wilting due to water shortage provided in an embodiment of the present application. As shown in FIG5 , the method of this embodiment includes the following steps:

[0110] S51. Debug the equipment.

[0111] S52. Monitor the growth of plants at the observation point.

[0112] S53: Save monitoring data. The monitoring data includes RGB point cloud data (ie, the color point cloud data mentioned above).

[0113] S54. Analyze monitoring data.

[0114] S55: Send a prompt signal.

[0115] From the description of steps S51 to S55, it can be seen that the working process of this embodiment is: first, the scanner and the computer are debugged. When the power is on, the program is executed by calling the OpenCV library in the open source software (for example, Visual Studio 2013 software), and the RGB camera is set through the computer program to extract the green and yellow parameters, and the scanner is controlled to start, collect, and save the point cloud data; after obtaining the data, the RGB point cloud data is analyzed using a third-party running software, and displayed in real time in the third-party software. When the yellow color reaches the threshold, the software automatically sends a prompt signal.

[0116] In the above method process, on a monitor that integrates infrared, color, and depth cameras, the three-dimensional point cloud data of the plant shape is obtained by the infrared and depth cameras, and color attributes are added to the point cloud data through a color lens. Therefore, this embodiment can obtain a set of spatial three-dimensional color point cloud data that is the same as the actual plant through the monitor.

[0117] Specifically, the first step involves debugging the parameters of the computer and monitor. The monitor's RGB pixel resolution is adjusted to 1920×1080 and the infrared pixel resolution to 512×484, allowing for a detection range of 0.5-5 meters. The RGB color values ​​for identifying yellowing leaves are set to (211, 199, 125), representing the color of leaves beginning to yellow from green. This allows for early detection of poor plant growth. The second step involves setting a pixel threshold range (0-N-M) in third-party software, where N represents the timely watering threshold and M represents the wilting threshold. The third step involves sending the real-time observation data from the second step to the third-party computer software for analysis. For example, N represents a water shortage warning, displayed as a blue signal on the screen; M represents a wilting warning, displayed as a red signal on the screen.

[0118] In addition, the embodiments of the present application may be further expanded as follows:

[0119] (1) This method has the advantages of preventing plant wilting and obtaining plant growth data, and the imaging data is accurate. The scanner is connected to the computer via a wired connection. On this basis, this embodiment can replace the wired connection method with a wireless SIM card insertion method for remote monitoring and analysis, which can achieve real-time monitoring of a large area of ​​the photovoltaic field.

[0120] (2) The embodiments of the present application can set different monitoring cycles according to the different stages of plant development. For example, when the plant is in the seedling stage, the monitoring time is once every few hours; after the seedling grows to a certain height, the monitoring time can be changed to once a day or once every three days, depending on the specific growth rate of the plant. This can reduce the task of the monitor and release more memory space.

[0121] The plant water shortage and wilting monitoring method provided in this embodiment can realize the growth monitoring and water shortage and wilting early warning of photovoltaic desertification control plants. The process is simple and can observe the development and changes of plant growth and wilting in real time, thereby ensuring the survival rate of plants.

[0122] Example 3:

[0123] FIG6 is a schematic diagram of the structure of a plant water shortage and wilting monitoring device provided in an embodiment of the present application. The device of this embodiment can be in the form of software and / or hardware. As shown in FIG6 , the plant water shortage and wilting monitoring device provided in this embodiment includes: an acquisition module 61, a determination module 62, and a processing module 63. Among them:

[0124] The acquisition module 61 is used to obtain target point cloud data obtained by scanning the target plant with the target scanner; wherein the target plant is a plant at a target observation point in the area where the photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant.

[0125] Determining module 62, for determining the number of first specified color data in the color point cloud data.

[0126] The processing module 63 is used to provide a water shortage and wilting prompt to the target plant when the amount of the first designated color data reaches a threshold corresponding to the target warning level, and control the mobile device corresponding to the target warning level to perform corresponding processing on the target plant.

[0127] In a possible implementation, the first designated color data is pale yellow data; and the processing module 63 is further configured to:

[0128] When the number of withered and yellow data reaches a first threshold corresponding to the first warning level, a water shortage reminder is issued to the target plant using a reminder method corresponding to the first warning level;

[0129] When the amount of withered and yellow data reaches a second threshold corresponding to the second warning level, the target plant is prompted to wilt using a prompt method corresponding to the second warning level; wherein the second warning level is higher than the first warning level, and the second threshold is greater than the first threshold.

[0130] In a possible implementation, the processing module 63 is further configured to:

[0131] The location information of the target plant and the amount of irrigation water are sent to the first mobile device corresponding to the first warning level, so that the first mobile device moves to the target location and irrigates the target plant.

[0132] The location information of the target plant and the location information of the target plant seedling easing zone are sent to a second mobile device corresponding to the second warning level, so that the second mobile device can move the target plant to the target plant seedling easing zone; wherein the light intensity of the target plant seedling easing zone is lower than the light intensity of the location where the target plant is located, and / or the temperature of the target plant seedling easing zone is lower than the temperature of the location where the target plant is located.

[0133] In one possible implementation, the device is further used to:

[0134] The soil moisture information obtained by measuring the target observation point in the photovoltaic station by the humidity sensor is obtained.

[0135] The amount of sprinkler water is calculated based on the soil moisture information and the water required by the target plants.

[0136] In one possible implementation, the target point cloud data includes three-dimensional point cloud data composed of three-dimensional data of all pixel points corresponding to the target plant; the device is further configured to:

[0137] Based on the second specified color data in the color point cloud data obtained at multiple time nodes and the three-dimensional point cloud data obtained at multiple time nodes, the growth data of the target plant at each time node is identified; wherein the growth data includes: crown area, plant height and / or number of leaves.

[0138] According to the growth data of the target plant at each time node, the leaf growth index of the target plant at each time node is calculated.

[0139] Data fitting is performed based on the leaf growth index of the target plant at each time point to obtain a plant leaf growth curve; the plant leaf growth curve is used to reflect the growth status of the target plant.

[0140] In one possible implementation, after obtaining soil moisture information measured by a humidity sensor at a target observation point in a photovoltaic station, the device is further configured to:

[0141] Obtain soil information and photovoltaic module parameter information at the target observation point in the area where the photovoltaic station is located; wherein the photovoltaic module parameter information includes the weight information of the photovoltaic module, the angle information between the screw pile in the photovoltaic module and the ground, and / or the wind force information received by the photovoltaic module.

[0142] The stability information of the screw pile is determined based on the soil moisture information, soil quality information and parameter information of the photovoltaic module.

[0143] In a possible implementation, when the photovoltaic station is located in an area including multiple areas of different terrain heights, the method further includes:

[0144] For each area of ​​terrain height, set at least one observation point.

[0145] The plant water shortage and wilting monitoring device provided in this embodiment can be used to execute the plant water shortage and wilting monitoring method provided in any of the above method embodiments. Its implementation principles and technical effects are similar and will not be described in detail here.

[0146] It should be noted that the user information and data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0147] That is to say, in the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0148] According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.

[0149] Figure 7 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device includes a receiver 70, a transmitter 71, at least one processor 72, and a memory 73. The electronic device composed of the above components can be used to implement the above-mentioned specific embodiments of the present application, which will not be repeated here.

[0150] An embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, each step of the method in the above embodiment is implemented.

[0151] An embodiment of the present application further provides a computer program product, including a computer program, which implements each step of the method in the above embodiment when executed by a processor.

[0152] Various embodiments of the systems and techniques described above in this application can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), system-on-chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0153] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. Such program code can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or electronic device.

[0154] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. A computer-readable storage medium can be a machine-readable signal medium or a machine-readable storage medium. A computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. A more specific example of a computer-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0155] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a cathode ray tube (CRT) or a liquid crystal display (LCD) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0156] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as data electronics), or a computing system that includes middleware components (e.g., application electronics), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with embodiments of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0157] It should be understood that the various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not a limitation herein.

[0158] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the principles of this application shall be included within the scope of protection of this application.

Claims

1. A method for monitoring plant wilting due to water shortage, characterized in that: include: Obtain target point cloud data obtained by scanning a target plant with a target scanner; wherein the target plant is a plant at a target observation point in the area where the photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant; Determining the amount of first designated color data in the color point cloud data; When the amount of the first designated color data reaches a threshold value corresponding to a target warning level, the target plant is prompted for water shortage and wilting, and a mobile device corresponding to the target warning level is controlled to perform corresponding processing on the target plant.

2. The method according to claim 1, characterized in that The first designated color data is pale yellow data; When the amount of the first designated color data reaches a threshold value corresponding to the target warning level, the target plant is prompted for water shortage and wilting, including any of the following: When the amount of the withered yellow data reaches a first threshold corresponding to a first warning level, providing a water shortage prompt to the target plant in a prompting manner corresponding to the first warning level; When the amount of the withered yellow data reaches a second threshold corresponding to a second warning level, the target plant is given a wilting prompt using a prompt method corresponding to the second warning level; wherein the second warning level is higher than the first warning level, and the second threshold is greater than the first threshold.

3. The method according to claim 1 or 2, characterized in that: The controlling the mobile device corresponding to the target warning level to perform corresponding processing on the target plant includes any one of the following: Sending the location information and the amount of irrigation water of the target plant to a first mobile device corresponding to the first warning level, so that the first mobile device moves to the target location and irrigates the target plant; The location information of the target plant and the location information of the target plant seedling easing zone are sent to a second mobile device corresponding to a second warning level, so that the second mobile device can move the target plant to the target plant seedling easing zone; wherein the light intensity of the target plant seedling easing zone is lower than the light intensity of the location of the target plant, and / or the temperature of the target plant seedling easing zone is lower than the temperature of the location of the target plant.

4. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: Acquire soil moisture information obtained by measuring a target observation point in the photovoltaic station with a humidity sensor; The amount of sprinkler irrigation water is calculated based on the soil moisture information and the water required by the target plant.

5. The method according to any one of claims 1 to 4, characterized in that: The target point cloud data includes three-dimensional point cloud data composed of three-dimensional data of all pixel points corresponding to the target plant; the method further includes: According to the second designated color data in the color point cloud data acquired at multiple time nodes and the three-dimensional point cloud data acquired at multiple time nodes, the growth data of the target plant at each time node is identified; wherein the growth data includes: crown area, plant height and / or number of leaves; Calculating the leaf growth index of the target plant at each time node according to the growth data of the target plant at each time node; Data fitting is performed according to the leaf growth index of the target plant at each time node to obtain a plant leaf growth curve; the plant leaf growth curve is used to reflect the growth condition of the target plant.

6. The method according to claim 4, characterized in that After obtaining the soil moisture information obtained by measuring the target observation point in the photovoltaic station with the humidity sensor, the method further includes: Obtain soil information and parameter information of photovoltaic modules at a target observation point in the area where the photovoltaic station is located; wherein the parameter information of the photovoltaic modules includes weight information of the photovoltaic modules, angle information between the screw piles in the photovoltaic modules and the ground, and / or wind force information received by the photovoltaic modules; The stability information of the screw pile is determined according to the soil moisture content information, the soil quality information and the parameter information of the photovoltaic module.

7. The method according to any one of claims 1 to 6, characterized in that: When the photovoltaic station is located in an area including multiple areas of terrain height, the method further includes: For each area of ​​terrain height, set at least one observation point.

8. A plant wilting monitoring device, characterized in that: include: An acquisition module, used to acquire target point cloud data obtained by scanning a target plant with a target scanner; wherein the target plant is a plant at a target observation point in the area where the photovoltaic station is located, and the target point cloud data includes color point cloud data composed of color data of all pixel points corresponding to the target plant; A determination module, used to determine the amount of first specified color data in the color point cloud data; The processing module is used to provide a water shortage and wilting prompt to the target plant when the amount of the first designated color data reaches a threshold value corresponding to the target warning level, and control a mobile device corresponding to the target warning level to perform corresponding processing on the target plant.

9. An electronic device, characterized in that: include: at least one processor and memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the plant water shortage and wilting monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the plant water shortage and wilting monitoring method according to any one of claims 1 to 7.

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