Method, device, electronic device and medium for monitoring wilting of plants due to lack of water

Abstract

The present invention relates to the field of plant growth monitoring technology and provides a method, device, electronic device and medium for monitoring wilting of plants due to lack of water. [Solution] The method includes acquiring target point cloud data obtained by a target scanner scanning a target plant, wherein the target plant is a plant at a target observation point within an area where a solar power generation 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 among the color point cloud data; and, when the number of first specified color data reaches a threshold corresponding to a target advance warning level, warning the target plant of wilting due to lack of water, and controlling a mobile device corresponding to the target advance warning level to perform corresponding processing on the target plant.

Description

[Technical Field]

[0001] The present application relates to the field of plant growth monitoring technology, and more particularly to a method, device, electronic device and medium for monitoring wilting of plants due to dehydration. [Background technology]

[0002] Solar power generation offers advantages such as convenience, efficiency, and land resource conservation, leading to the large-scale construction of solar power generation stations in the arid and desert regions of northwest China. However, land desertification remains a serious ecological environmental problem, severely impacting ecosystem stability and hindering the construction of an ecological civilization. It is therefore a major issue that must be resolved urgently in the process of promoting scientific and technological development. Therefore, in northwest China, many solar power generation stations are being built using the "solar power generation + desertification" approach, in order to balance the development of the solar power generation industry with desert ecological protection.

[0003] Northwest China has long suffered from poor weather conditions, including dryness, high temperatures, little rain, and sandstorms, resulting in a low survival rate for plants. To ensure that plants cultivated in areas where solar power stations are located grow normally and reduce the cost of manual maintenance, it is particularly important to take measures such as real-time monitoring of seedling growth and wilting due to lack of water, and timely watering, especially in the early stages after transplanting.

[0004] In this context, currently, there is no economical, convenient, and efficient quantitative method for monitoring plant growth and providing advance warning of wilting due to lack of water in the fields of solar power generation and desert countermeasures. Summary of the Invention [Problem to be solved by the invention]

[0005] The present application provides a method, device, electronic device and medium for monitoring wilting of plants due to dehydration, in order to solve the problem of the prior art that plant survival rates are low due to dehydration. [Means for solving the problem]

[0006] According to a first aspect of the present application, Acquiring target point cloud data obtained by scanning a target plant with a target scanner, the target plant being a plant at a target observation point within an area where a solar power generation station is located, and the target point cloud data including color point cloud data configured by 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; Provided is a method for monitoring wilting of plants due to lack of water, which includes issuing a warning to the target plant about wilting due to lack of water when the number of first specified color data reaches a threshold corresponding to a target advance warning level, controlling a mobile device corresponding to the target advance warning level, and executing a corresponding process on the target plant.

[0007] Optionally, the first specified color data is decayed leaf color data; When the number of the first specified color data reaches a threshold corresponding to a target advance warning level, issuing a warning to the target plant about wilting due to lack of water is When the number of the decayed leaf color data reaches a first threshold corresponding to a first advance warning level, issuing a dehydration warning to the target plant in a warning manner corresponding to the first advance warning level; When the number of the decayed leaf color data reaches a second threshold corresponding to a second advance warning level, issuing a wilt warning to the target plant in a warning manner corresponding to the second advance warning level, wherein the second advance warning level is higher than the first advance warning level and the second threshold is higher than the first threshold. Optionally, controlling a mobile device corresponding to the target advance warning level to perform a corresponding process on the target plant includes: transmitting location information of the target plant and the amount of water to be sprayed to a first mobile device corresponding to the first advance warning level, thereby causing the first mobile device to move to the target location and spray water on the target plant; Transmitting location information of the target plant and location information of the target plant restoration area to a second mobile device corresponding to the second advance warning level, thereby causing the second mobile device to move the target plant to the target plant restoration area, wherein the light intensity in the target plant restoration area is lower than the light intensity at the location where the target plant is located, and / or the temperature in the target plant restoration area is lower than the temperature at the location where the target plant is located.

[0008] Optionally, the method further comprises: Obtaining soil moisture content information obtained by measuring a target observation point of the solar power generation station with a humidity sensor; and calculating the amount of water to be sprayed based on the soil moisture content information and the moisture required by the target plant.

[0009] Optionally, the target point cloud data includes three-dimensional point cloud data configured by three-dimensional data of all pixel points corresponding to the target plant, and the method further comprises: Recognizing growth data of the target plant at each time node based on second specified color data of the color point cloud data acquired at a plurality of time nodes and three-dimensional point cloud data acquired at a plurality of time nodes, wherein the growth data includes a crown area, a plant height, and / or a number of leaves; Calculating a leaf growth index at each time node of the target plant based on growth data at each time node of the target plant; and performing data fitting based on the leaf growth index at each time node of the target plant to obtain a leaf growth curve of the plant to reflect the growth status of the target plant.

[0010] Optionally, the method further comprises, after obtaining soil moisture content information obtained by measuring the target observation point of the solar power generation station with a humidity sensor, Obtaining soil information and parameter information of a solar power generation assembly at a target observation point within an area where the solar power generation station is located, wherein the parameter information of the solar power generation assembly includes weight information of the solar power generation assembly, angle information of a screw pile of the solar power generation assembly relative to the ground, and / or information of wind force received by the solar power generation assembly; and determining screw pile stability information based on the soil moisture content information, the soil quality information, and the photovoltaic assembly parameter information.

[0011] Optionally, when the area in which the solar power generation station is located includes areas of multiple terrain heights, the method further comprises: This involves establishing at least one observation point for each terrain elevation area.

[0012] According to a second aspect of the present application, an acquisition module used to acquire target point cloud data obtained by scanning a target plant with a target scanner, the target plant being a plant at a target observation point within an area where a solar power generation station is located, the target point cloud data including color point cloud data composed of color data of all pixel points corresponding to the target plant; a determination module used to determine the number of first specified color data in the color point cloud data; A monitoring device for plant wilting due to dehydration is provided, which includes a processing module used to warn the target plant about wilting due to dehydration when the number of first specified color data reaches a threshold corresponding to a target advance warning level, and to control a mobile device corresponding to the target advance warning level and execute corresponding processing on the target plant.

[0013] According to a third aspect of the present application, there is provided an electronic device including at least one processor and a memory, The memory stores computer executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, thereby causing the at least one processor to perform the method for monitoring wilting of plants due to dehydration described in the first aspect.

[0014] According to a fourth aspect of the present application, there is provided a computer-readable storage medium having computer-executable instructions stored therein, which, when executed by a processor, are used to realize the method for monitoring wilting of plants due to dehydration described in the first aspect.

[0015] According to a fifth aspect of the present application, there is provided a computer program product including a computer program, which, when executed by a processor, realizes the method for monitoring wilting of plants due to dehydration described in the first aspect. [Effects of the Invention]

[0016] The method for monitoring wilting of plants due to dehydration provided by the present application includes acquiring target point cloud data obtained by a target scanner scanning a target plant, wherein the target plant is a plant at a target observation point within an area where a solar power generation 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 among the color point cloud data; and, when the number of first specified color data reaches a threshold corresponding to a target advance warning level, issuing a warning to the target plant about wilting due to dehydration, and controlling a mobile device corresponding to the target advance warning level to perform corresponding processing on the target plant.

[0017] The color point cloud data in the above method is characterized by high accuracy and high resolution, and can completely restore and reproduce the color of plants in actual scenes. As a result, the present application can quickly warn plants of wilting due to lack of water by comparing the number of first specified color data with a threshold corresponding to the target advance warning level, and further realize timely processing of the target plants, which is efficient and convenient, and ultimately improves the survival rate of plants.

[0018] It should be understood that the contents described in this section are not intended to identify key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become more readily apparent from the following description. [Brief explanation of the drawings]

[0019] The drawings described herein are incorporated into the specification as part of the specification, and are included to illustrate the principles of the present application, including examples of the present application.

[0020] [Figure 1] 1 is a flowchart of a method for monitoring wilting of plants due to lack of water provided by an embodiment of the present application. [Figure 2] 1 is a schematic diagram illustrating the operation of a target scanner provided by an embodiment of the present application; [Figure 3] 1 is a schematic diagram of the distribution of humidity sensors provided in an embodiment of the present application. [Figure 4] FIG. 1 is a schematic diagram of leaf growth curves provided by the examples of the present application. [Figure 5] 1 is a flowchart of another method for monitoring wilting of plants due to lack of water provided by an embodiment of the present application. [Figure 6] 1 is a structural schematic diagram of a monitoring device for wilting of plants due to dehydration provided by an embodiment of the present application. [Figure 7] 1 is a structural schematic diagram of an electronic device provided by an embodiment of the present application;

[0021] The above drawings clearly illustrate the embodiments of the present application, which will be described in more detail below. These drawings and textual descriptions are not intended to limit the scope of the present application in any way, but rather to explain the principles of the present application to those skilled in the art using specific embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0022] Reference will now be made in detail to illustrative embodiments, examples of which are illustrated in the drawings. When reference is made to the drawings in the following description, the same numerals in different drawings represent the same or similar elements unless otherwise noted. The embodiments described in the following illustrative examples do not represent all embodiments that may be applicable to this application.

[0023] Northwest China has long suffered from poor weather conditions, including dryness, high temperatures, little rain, and sandstorms, resulting in a low survival rate for plants. To ensure the normal growth of plants in areas where solar power stations are located and reduce the cost of manual maintenance, it is particularly important to take measures such as real-time monitoring of seedling growth and wilting due to lack of water, and timely watering, especially in the early stages of transplanting. Given this background, there is currently no economical, convenient, and efficient quantitative method for monitoring plant growth and providing early warning of wilting due to lack of water in the solar power generation and desertification countermeasures.

[0024] The overall concept of the present invention is to provide a method for improving plant survival rate for use in the field of plant growth monitoring in order to solve the above technical problems.

[0025] The following specific examples will be used to describe in detail the technical solution of the present application and how it solves the above technical problems. Some of the following specific examples can be combined with each other, and the same or similar concepts or processes may not be described in detail in some examples. The following examples will be described with reference to the drawings.

[0026] Example 1 The method for monitoring plant wilting due to dehydration provided by the embodiments of the present application can realize plant growth monitoring and warning of wilting due to dehydration, greatly improve the plant survival rate in the "solar power generation + desert countermeasure" project, obtain different growth data for different types of plants, and provide technical support for further analysis of the adaptability of plants growing in the desert in the future.

[0027] 1 is a flowchart of a method for monitoring wilting of plants due to dehydration provided by an embodiment of the present application. As shown in FIG. 1, the method of this embodiment includes the following steps:

[0028] In S10, the target scanner acquires target point cloud data obtained by scanning the target plant, the target plant being a plant at a target observation point within an area where the solar power generation 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.

[0029] The area where the solar power generation station is located is also called a solar power generation field. As shown in FIG. 2, the target scanner 100 is a 3D laser scanner also called a monitor. The terminal device 200 connected to the target scanner 100 may refer to a device such as a computer used to acquire target point cloud data and store and analyze the data. A power source 300 is used to supply power to the terminal device 200, and the terminal device 200 can also function as a power source to supply power to the target scanner 100.

[0030] Optionally, the above-mentioned target scanner 100 includes at least one of an RGB device (also called an RGB camera), an infrared emitter, and a 3D depth sensor, wherein the 3D depth sensor is constituted by three lenses of the infrared camera.

[0031] In this embodiment, the hardware design of this method mainly includes equipment such as a photovoltaic assembly, a 3D laser scanner, and a computer. The photovoltaic assembly includes a screw pile, a solar panel, and a solar panel bracket. The 3D laser scanner includes a 3D depth sensor consisting of three lenses: an RGB device, an infrared emitter, and an infrared camera. The computer runs computer processing software, which may be open source software. The software calls the OpenCV library (or other libraries, although this is not specifically limited in the embodiments of this application) to set scanning parameters and collect target point cloud data at specified observation points. The collected target point cloud data is then sent to third-party software for analysis, which analyzes the plant growth status and wilting warning information for solar power generation and desertification in the solar desertification area.

[0032] Optionally, in addition to being used to generate electricity, the solar panels can also provide shaded areas for plants based on changes in sunlight irradiance.

[0033] In S20, the number of first specified color data in the color point cloud data is determined. The first specified color data is a decaying leaf color, and may indicate an RGB color value (211,199,125) or another color value close to the color value, such as (211,191,125) or (211,1842,125). In the embodiment of the present application, neither the range of the color value nor the magnitude of the color value is specifically limited.

[0034] In S30, when the number of first specified color data reaches a threshold corresponding to the target advance warning level, a warning is given to the target plant about wilting due to lack of water, and a mobile device corresponding to the target advance warning level is controlled to perform a corresponding process on the target plant.

[0035] For example, if the water deficit is low and the target early warning level is low, a water deficit warning is issued, and water is replenished by spraying the plant. If the water deficit is high, the water deficit period is long, and the target early warning level is high, in this embodiment, a wilt warning may be issued to save the withered plant. Furthermore, the mobile device may be controlled to cut off all withered and shriveled branches and leaves of the plant and replace them with loose, fertile soil. In this embodiment, the mobile device may also be controlled to move the plant to a well-ventilated, semi-shaded environment (e.g., a separate plant recovery area may be set up in a solar power generation field) to recover, with the room temperature limited to approximately 20°C. After new green leaves appear, the plant can be replanted in its original location.

[0036] The color point cloud data in the above method is characterized by high accuracy and resolution, and can perfectly restore and reproduce the color of plants in real scenes. This allows the present application to quickly warn plants of wilting due to lack of water by comparing the number of first specified color data with a threshold corresponding to the target early warning level. Furthermore, this method realizes timely processing of target plants, which is efficient and convenient, ultimately improving plant survival rates.

[0037] In a possible embodiment, the first specified color data is decayed leaf color data, and in step S30, when the number of first specified color data reaches a threshold corresponding to the target advance warning level, issuing a warning to the target plant about wilting due to lack of water includes any of the following:

[0038] First, when the number of decayed leaf color data reaches a first threshold corresponding to a first advance warning level, a dehydration warning is issued to the target plant in a warning manner corresponding to the first advance warning level.

[0039] Second, when the number of decayed leaf color data reaches a second threshold corresponding to a second advance warning level, a wilting warning is issued to the target plant according to a warning method corresponding to the second advance warning level, and the second advance warning level is higher than the first advance warning level and the second threshold is greater than the first threshold.

[0040] In this embodiment, the number of target early warning levels is not specifically limited, and may be two, three, four, etc. In this embodiment, when the number of decayed leaf color data reaches a second threshold corresponding to a second early warning level, the mobile device may be controlled to cut off all dead and shriveled branches and leaves of the plant and replace them with loose and fertile soil.

[0041] By using this method, the present embodiment can quickly determine the dehydration status of the plant, provide directed attention, improve attention efficiency, and further improve the survival rate of the plant.

[0042] In a possible embodiment, in step S30, controlling the mobile device corresponding to the target pre-warning level to perform a corresponding action on the target plant includes any of the following:

[0043] First, the location information of the target plant and the amount of water to be sprayed are transmitted to a first mobile device corresponding to a first advance warning level, so that the first mobile device moves to the target location and sprays water on the target plant.

[0044] Second, the location information of the target plant and the location information of the target plant restoration area are transmitted to a second mobile device corresponding to a second advance warning level, so that the second mobile device moves the target plant to the target plant restoration area, and the light intensity of the target plant restoration area is lower than the light intensity of the location where the target plant is located, and / or the temperature of the target plant restoration area is lower than the temperature of the location where the target plant is located.

[0045] By using this method, the present embodiment can quickly determine the dehydration status of the plants, and provide a directional treatment method to improve the timeliness of treatment, and further improve the survival rate of the plants.

[0046] In one possible embodiment, the method further comprises the following steps:

[0047] In S40, the moisture sensor obtains soil moisture content information obtained by measuring the target observation point of the solar power station.

[0048] Humidity sensors are also called water sensors, temperature and humidity sensors, etc. As shown in Figure 3, the desert-resistant plants in the solar power generation field are mainly Haloxylon ammodendron plants, whose root systems are primarily concentrated within the top 30 cm of the soil. Therefore, in this embodiment, humidity sensors may be installed at 10 cm intervals on the sides of the root system, for a total of three humidity sensors on the sides. An additional humidity sensor may be installed at a depth of 40 cm. The first three humidity sensors are installed to monitor the water absorption of the root system and the moisture distribution in the soil, while the remaining humidity sensor is installed to monitor the moisture content of the soil surface. Humidity sensors operate in the following order: data sampling, data collection, and data transmission to a cloud platform or terminal device.

[0049] When other plants are selected as desert-resistant plants, in the embodiments of the present application, the location and number of moisture sensors may be self-adaptively designed based on the root distribution information of the corresponding plants to ensure the accuracy of the acquired soil moisture content information.

[0050] In S50, the amount of water to be sprayed is calculated based on the soil moisture content information and the moisture required by the target plant.

[0051] The embodiments of the present application accurately calculate a reasonable amount of water to be sprayed, which can prevent the root system of the target plant from rotting if it is over-watered later, and also achieve the effect of rational use of water resources.

[0052] Optionally, in the desert, the soil mainly contains quartz, with small amounts of feldspar, mica, biotite, amphibole, etc., and the soil is alkaline in a dry environment. Because the soil moisture content is low and cannot play a role in promoting plant growth, a humidity sensor may be sprayed to monitor the soil moisture content in real time, and when the soil moisture content is lower than a preset threshold, to ensure that the plant is in a moist environment.

[0053] The humidity sensor can detect whether the root system is experiencing water stress, and if it detects that the root system is experiencing water stress, it can determine that the leaf rut color of the plant's leaves is due to wilting caused by lack of water.If it detects that the root system is not experiencing water stress, it can determine that the leaf rut color of the plant's leaves is due to other causes (exposure to strong light, nutrient deficiency, etc.).

[0054] This application primarily examines cases where plant leaves turn brown due to lack of water. To accurately identify the specific causes of leaf browning, this embodiment installs a temperature sensor underground or above ground to obtain real-time soil or air temperature readings, effectively eliminating leaf browning caused by exposure to strong light. This embodiment also installs an element monitoring device underground to obtain real-time readings of the content of each element, effectively eliminating leaf browning caused by nutrient deficiency.

[0055] In this example, because exposure to strong light may cause the leaves of the plant to yellow and wither, in this example, on summer days when the light is very strong, a shade net may be placed over the plant to reduce the light intensity. In addition, in this example, water may be periodically sprayed around the leaves of the plant to help the plant recover growth quickly.

[0056] In this example, elements such as carbon (C), hydrogen (H), oxygen (O), nitrogen (N), phosphorus (P), and potassium (K) constitute the organic structure of plants and are key elements involved in enzyme reactions, osmotic regulation, and other functions. Trace elements in the desert primarily include silicon (Si), oxygen (O), calcium (Ca), sodium (Na), potassium (K), iron (Fe), and phosphorus (P). Therefore, the rotten leaf color of plants due to nutrient deficiency is primarily due to a deficiency of elements such as nitrogen (N) and phosphorus (P). In this example, a corresponding mobile device may be controlled to apply nitrogen fertilizer, phosphorus fertilizer, or the like to the plants.

[0057] Therefore, in addition to causes such as exposure to strong light and nutrient deficiency, the main cause of plant leaves turning brown is lack of water, and at that time, the mobile device can be controlled to water the plant.

[0058] In one possible embodiment, the target point cloud data includes three-dimensional point cloud data configured by three-dimensional data of all pixel points corresponding to the target plant, and the method further includes the following steps.

[0059] In S60, growth data of the target plant at each time node is recognized based on second specified color data among the color point cloud data acquired at the multiple time nodes and the three-dimensional point cloud data acquired at the multiple time nodes, and the growth data includes the crown area, plant height and / or number of leaves.

[0060] In S70, a leaf growth index is calculated for each time node of the target plant based on the growth data for each time node of the target plant, the leaf growth index being also called a leaf area index.

[0061] In step S80, data fitting is performed based on the leaf growth index of the target plant at each time node to obtain a leaf growth curve of the target plant to reflect the growth status of the target plant, which is also called a leaf growth fitting curve.

[0062] As shown in Figure 4, in the present embodiment, a leaf growth curve is fitted by fitting data points to the plant's early growth data (number of leaves, crown area, height, etc.), and the curve can be expressed as follows:

number

number

[0063] In summary, the embodiments of the present application employ the following technical solution. This method utilizes a 3D laser scanner and a computer program to configure an RGB camera to extract green and decayed leaf color parameters to monitor plant growth and alert for wilting due to dehydration in solar power generation and desertification. Extracting green is used to calculate changes in the plant's leaf area index, while extracting decayed leaf color is used to provide early warning of plant wilting due to dehydration. In this embodiment, point cloud data is then collected in real time and analyzed based on the program's thresholds for green and decayed leaf colors. All data is then transmitted to third-party software. The magnitude of the leaf area index reflects the plant's growth status. In this embodiment, a warning signal can be issued by the third-party software program when the decayed leaf color of a plant's leaves reaches a predetermined threshold. For example, the software can immediately issue a red light on the page, specifically monitoring only one specific observation point in the solar power generation field.

[0064] The method for monitoring plant wilting due to dehydration provided by this embodiment can realize plant growth monitoring and advance warning of wilting due to dehydration in solar power generation and desert countermeasures. The process is simple, and plant growth and wilting progress can be observed in real time, ensuring plant survival.

[0065] In one possible embodiment, after obtaining the soil moisture content information obtained by the humidity sensor measuring the target observation point of the solar power generation station in step S40, the method further includes the following steps:

[0066] In S90, soil information of the target observation point within the area where the solar power generation station is located and parameter information of the solar power generation assembly are acquired, and the parameter information of the solar power generation assembly includes weight information of the solar power generation assembly, angle information of the screw pile of the solar power generation assembly relative to the ground, and / or information on the wind force received by the solar power generation assembly.

[0067] In S100, stability information of the screw pile is determined based on the soil moisture information, the soil quality information, and the parameter information of the photovoltaic power generation assembly.

[0068] In the present embodiment, the installation of the screw piles is analyzed as follows. The shear strength of the root-bearing soil at different depths in the original soil is calculated based on the depth of the plant's root system at maturity. The screw pile's underground length can also be calculated by adding the shear strengths of the root-bearing soil at different depths. Mechanical equilibrium analysis of the object reveals that the maximum slope resistance of the screw pile is the sum of the shear strengths of the root-bearing soil at different depths during root system growth. In other words, in this embodiment, the shear strength of the screw pile can be determined based on the shear strength of the root-bearing soil at maturity, taking into account subsequent plant growth. Note that the shear strength of the screw pile plus the shear strength of the root-bearing soil ≥ K, where K is the maximum effect of soil moisture changes, wind force, and the combined weight of the solar panel and bracket on the screw pile.

[0069] This shows that soil quality, soil moisture content, weight of the solar power assembly, and wind strength have a significant impact on the stability of the screw pile, and the vegetation in the desert has the function of fixing sand, which ensures the stability of the screw pile.

[0070] Since plants have the effect of fixing sand, if the plant growth conditions are good for a long time, the depth of the screw piles can be set shallower, which makes the screw pile installation easier. If the screw piles are unstable, in this embodiment, the screw piles can be reinforced to improve the safety of the photovoltaic assembly. For example, if the screw piles are tilted, they can be straightened and a tripod can be attached.

[0071] In the embodiment of the present application, the above operation can ensure the safety of the photovoltaic assembly, and prevent the photovoltaic assembly from stopping operation in the event of a safety issue, thereby effectively maintaining the stable operation of the photovoltaic power station for a long period of time.

[0072] In one possible embodiment, if the area in which the solar power generation station is located includes areas of multiple terrain heights, the method further includes installing at least one observation point for each terrain height area.

[0073] In this embodiment, the monitoring area of ​​a portion of the solar power station may be expanded to cover the entire solar power field. Assume that different terrain heights within the solar power field correspond to different moisture contents, while the same terrain height corresponds to the same moisture content. In this embodiment, multiple observation points may be installed throughout the solar power field based on terrain height, areas adjacent to the field, wind direction maps for the field, etc. This reflects the plant growth status throughout the solar power field and facilitates real-time background collection and analysis.

[0074] For example, in this embodiment, three observation points may be installed based on the field topography: low, medium, and high. In the first step, a GPS area measurement device is used to measure the observation range corresponding to each of the three field topography regions: low, medium, and high. In the second step, moisture distribution is observed at each observation point based on the humidity sensor distribution shown in Figure 3. In this embodiment, grass grids and humidity sensors may be installed in areas around the solar power generation field that are severely affected by wind erosion to monitor moisture changes in real time. After observing plant growth for a certain period of time, observation points may be installed more densely in plant areas that receive a high number of advance warnings in order to analyze the cause of the advance warning in a timely manner. In the third step, to ensure the organic matter necessary for plant growth, the amount of water supply may be analyzed based on data obtained by humidity sensors and limit the soil moisture content to approximately 60%.

[0075] The method for monitoring plant wilting due to dehydration provided by this embodiment can realize plant growth monitoring and advance warning of plant wilting due to dehydration in solar power generation and desert countermeasures. The process is simple, and plant growth and wilting progress can be observed in real time, ensuring plant survival.

[0076] Based on the above embodiments, the technical solutions of the present application will be described in more detail below using some specific embodiments.

[0077] Example 2 5 is a flowchart of another method for monitoring wilting of plants due to dehydration provided by an embodiment of the present application. As shown in FIG. 5, the method of this embodiment includes the following steps:

[0078] In S51, the operation of the equipment is verified.

[0079] In S52, the growth status of the plants at the observation point is monitored.

[0080] In S53, the monitoring data is saved. The monitoring data includes RGB point cloud data (i.e., the above-mentioned color point cloud data).

[0081] In S54, the monitoring data is analyzed.

[0082] In S55, a caution signal is transmitted.

[0083] As can be seen from the description of steps S51 to S55, the operation process of this embodiment is as follows. First, the operation of the scanner and computer is verified. With the power on, a program is executed by calling the OpenCV library in open source software (such as software such as Visual Studio 2013). The computer program configures the RGB camera and extracts green and decayed leaf color parameters, controlling the scanner startup, collection, and point cloud data storage operations. After data acquisition, third-party software is used to analyze the RGB point cloud data, which is then displayed in real time in the third-party software. If the decayed leaf color reaches a threshold, the software automatically issues a warning signal.

[0084] In the process of the above method, the monitor integrates an infrared camera, a color camera, and a depth camera, and obtains 3D point cloud data of the plant shape using the infrared and depth cameras, and adds color attributes to the point cloud data using a color lens, so that in this embodiment, the monitor can obtain a series of spatial 3D color point cloud data that reproduces the actual plant.

[0085] Specifically, in the first step, the computer and monitor parameters are verified for operation. The monitor's RGB pixel points are set to 1920 x 1080, the infrared pixel points to 512 x 484, and the monitoring range is set to 0.5 to 5 m. The color value for recognizing leaf decay in RGB is set to (211, 199, 125). This value represents the color during the leaf's transition from green to decay, enabling early detection of poor plant growth. In the second step, the third-party software sets a pixel point threshold range (0-NM), where N is the timely watering threshold and M is the wilting threshold. In the third step, the real-time data observed in the second step is sent to the third-party software for analysis. For example, N is an early warning for underwatering, displayed as a blue light on the screen, and M is an early warning for wilting, displayed as a red light on the screen.

[0086] The embodiment of the present application may be expanded as follows.

[0087] (1) This method is effective in preventing plant wilting and acquiring plant growth data, and the image data is accurate. The scanner is connected to a computer via a wire. Based on this, in this embodiment, the wired connection can be replaced with a wireless connection via a SIM card for remote monitoring and analysis, enabling real-time monitoring of a large area of ​​the photovoltaic power generation field.

[0088] (2) In the embodiments of the present application, different monitoring periods may be set according to different growth stages of the plant. For example, when the plant is a seedling, the monitoring period may be set to measure once every few hours. When the seedling has grown to a certain height, the monitoring period may be changed to once a day or once every three days. Setting the monitoring period according to the growth rate of the plant can reduce the workload of the monitor and free up more memory space.

[0089] The method for monitoring plant wilting due to dehydration provided by this embodiment can realize plant growth monitoring and advance warning of wilting due to dehydration in solar power generation and desert countermeasures. The process is simple, and plant growth and wilting progress can be observed in real time, ensuring plant survival.

[0090] Example 3 6 is a structural schematic diagram of a device for monitoring wilting of plants due to drought provided in accordance with an embodiment of the present application. The device of this embodiment may be in the form of software and / or hardware. As shown in FIG. 6, the device for monitoring wilting of plants due to drought provided in accordance with this embodiment includes an acquisition module 61, a determination module 62, and a processing module 63.

[0091] The acquisition module 61 is used to acquire target point cloud data obtained by the target scanner scanning the target plant, where the target plant is a plant at a target observation point within the area where the solar power generation 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.

[0092] The determination module 62 is used to determine the number of first specified color data in the color point cloud data.

[0093] The processing module 63 is used to warn the target plant of wilting due to lack of water when the number of first specified color data reaches a threshold corresponding to the target advance warning level, control a mobile device corresponding to the target advance warning level, and execute corresponding processing on the target plant.

[0094] In one possible embodiment, the first specified color data is decayed leaf color data, and the processing module 63 When the number of decayed leaf color data reaches a first threshold corresponding to a first advance warning level, issuing a dehydration warning to the target plant using a warning method corresponding to the first advance warning level; When the number of decayed leaf color data reaches a second threshold corresponding to a second advance warning level, a wilting warning is issued to the target plant by a warning method corresponding to the second advance warning level, where the second advance warning level is higher than the first advance warning level and the second threshold is greater than the first threshold.

[0095] In one possible embodiment, the processing module 63 Transmitting the location information of the target plant and the amount of water to be sprayed to a first mobile device corresponding to the first advance warning level, so that the first mobile device moves to the target location and sprays water on the target plant; The location information of the target plant and the location information of the target plant restoration area are transmitted to a second mobile device corresponding to a second advance warning level, thereby causing the second mobile device to move the target plant to the target plant restoration area, and the light intensity in the target plant restoration area is lower than the light intensity at the location where the target plant is located, and / or the temperature in the target plant restoration area is lower than the temperature at the location where the target plant is located.

[0096] In one possible embodiment, the device comprises: Obtaining soil moisture content information obtained by measuring a target observation point of the solar power station with a humidity sensor; and calculating the amount of water to be applied based on the soil moisture information and the moisture needs of the target plants.

[0097] In one possible embodiment, the target point cloud data includes three-dimensional point cloud data configured by three-dimensional data of all pixel points corresponding to the target plant, and the device: Recognizing growth data of the target plant at each time node based on second specified color data among the color point cloud data acquired at the plurality of time nodes and the three-dimensional point cloud data acquired at the plurality of time nodes, wherein the growth data includes a crown area, a plant height, and / or a number of leaves; Calculating a leaf growth index at each time node of the target plant based on the growth data at each time node of the target plant; and performing data fitting based on the leaf growth index at each time node of the target plant to obtain a leaf growth curve of the plant to reflect the growth status of the target plant.

[0098] In one possible embodiment, the device acquires soil moisture content information obtained by measuring a target observation point of the solar power station using a humidity sensor, and then: Obtaining soil information and parameter information of a solar power generation assembly at a target observation point within an area where the solar power generation station is located, the parameter information of the solar power generation assembly including weight information of the solar power generation assembly, angle information of a screw pile of the solar power generation assembly relative to the ground, and / or information of wind force received by the solar power generation assembly; and determining stability information of the screw pile based on the soil moisture information, the soil quality information and the parameter information of the photovoltaic assembly.

[0099] In one possible embodiment, if the area in which the solar power station is located includes areas of multiple terrain heights, the method further comprises: This involves establishing at least one observation point for each terrain elevation area.

[0100] The monitoring device for plant wilting due to dehydration provided by this embodiment can be used to implement the method for monitoring plant wilting due to dehydration provided in any of the above method embodiments, and since the principles and technical effects of its implementation are similar, detailed description will be omitted here.

[0101] It should be noted that all user information and data referred to in this application (including but not limited to analytical data, stored data, displayed data, etc.) are information and data that have been authorized for use by users or have been fully authorized for use by the relevant parties. Furthermore, the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions, and a corresponding operation portal is provided for users to issue authorization or denial of use.

[0102] In other words, the collection, storage, use, processing, transmission, provision, disclosure and other processing of users' personal information referred to in the technical solutions of this application comply with the provisions of relevant laws and regulations and are in line with public order and good morals.

[0103] According to an embodiment of the present application, the present application further provides an electronic device and a readable storage medium.

[0104] 7 is a structural schematic diagram of an electronic device provided by an embodiment of the present application, which includes a receiver 70, a transmitter 71, at least one processor 72, and a memory 73. The electronic device configured by the above components can be used to implement several specific embodiments of the present application, and detailed descriptions thereof will be omitted here.

[0105] An embodiment of the present application further provides a computer-readable storage medium, wherein computer-executable instructions are stored on the computer-readable storage medium, and when a processor executes the computer-executable instructions, the processor realizes each step of the method described in the above embodiment.

[0106] An embodiment of the present application further provides a computer program product including a computer program, which, when executed by a processor, implements the steps of the method described in the above embodiment.

[0107] Various embodiments of the systems and techniques described herein may 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), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may be implemented in one or more computer programs that may be executed and / or interpreted in a programmable system including at least one programmable processor. The programmable processor may be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and may also include the ability to transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0108] The program code used to implement the methods of the present application may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, so that when the program code is executed by the processor or controller, it performs the functions / operations defined in the flowcharts and / or block diagrams. The program code may be executed entirely on the device, partially on the device, as a separate software package partially on the device and partially on a remote device, or entirely on a remote or electronic device.

[0109] In the context of this application, a computer-readable storage medium may be a tangible medium that contains or stores a program used by or in connection with an instruction execution system, device, or apparatus. A computer-readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A computer-readable storage medium includes, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any suitable combination thereof. More specific examples of computer-readable storage media include an electrical connection of one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0110] The systems and techniques described herein may be implemented in a computer to facilitate user interaction. The computer may have a display device (e.g., a cathode ray tube (CRT) or liquid crystal display (LCD) monitor) used to display information to the user, and a keyboard and pointing device (e.g., a mouse or trackball) that the user can use to provide input to the computer. Other types of devices may also be used to provide user interaction. For example, feedback to the user may be any form of sensing feedback (e.g., visual feedback, auditory feedback, or tactile feedback). User input may also be received in any manner (including voice input, audio input, or tactile input).

[0111] The systems and techniques described herein may be implemented in a computing system that includes background components (e.g., as a data electronic device), or a computing system that includes middleware components (e.g., an application electronic device), 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 any combination of such background, middleware, or front-end components. The components of the system may be connected to each other by any form or medium of digital data communication (e.g., a communications network). Examples of communications networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0112] It should be understood that steps may be rearranged, added, or deleted from the various processes described above. For example, the steps described in the present disclosure may be performed in parallel, sequentially, or in a different order. This specification does not limit the scope of the present disclosure, as long as the expected results of the technical solutions disclosed in the present disclosure can be achieved.

[0113] The above specific embodiments do not constitute limitations on the scope of protection of the present application. As will be apparent to those skilled in the art, various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, improvements, etc. made within the spirit of the present application shall be included in the scope of protection of the present application.

[0114] This application claims priority to a Chinese patent application bearing application number 202311212123.7 and entitled "Method, device, electronic device and medium for monitoring wilting of plants due to dehydration," filed with the State Intellectual Property Office on September 19, 2023, the entire contents of which are incorporated herein by reference.

Claims

1. Acquiring target point cloud data obtained by scanning a target plant with a target scanner, the target plant being a plant at a target observation point within an area where a solar power generation station is located, and the target point cloud data including color point cloud data configured by 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; A method for monitoring wilting of plants due to dehydration, characterized in that it includes: when the number of first specified color data reaches a threshold corresponding to a target advance warning level, issuing a warning to the target plant about wilting due to dehydration, controlling a mobile device corresponding to the target advance warning level, and performing corresponding processing on the target plant.

2. the first specified color data is decayed leaf color data, When the number of the first specified color data reaches a threshold value corresponding to a target advance warning level, issuing a warning to the target plant about wilting due to lack of water is When the number of the decayed leaf color data reaches a first threshold corresponding to a first advance warning level, issuing a water shortage warning to the target plant in a warning manner corresponding to the first advance warning level; The method of claim 1, characterized in that when the number of the decayed leaf color data reaches a second threshold corresponding to a second advance warning level, a wilting warning is issued to the target plant using a warning method corresponding to the second advance warning level, wherein the second advance warning level is higher than the first advance warning level and the second threshold is greater than the first threshold.

3. Controlling a mobile device corresponding to the target advance warning level to perform a corresponding process on the target plant includes: transmitting location information of the target plant and the amount of water to be sprayed to a first mobile device corresponding to a first advance warning level, thereby causing the first mobile device to move to the target location and spray water on the target plant; 3. The method of claim 1 or 2, characterized in that it includes transmitting location information of the target plant and location information of the target plant restoration area to a second mobile device corresponding to a second advance warning level, thereby causing the second mobile device to move the target plant to the target plant restoration area, wherein the light intensity of the target plant restoration area is lower than the light intensity of the location where the target plant is located, and / or the temperature of the target plant restoration area is lower than the temperature of the location where the target plant is located.

4. The method further comprises: Obtaining soil moisture content information obtained by measuring a target observation point of the solar power generation station with a humidity sensor; 4. The method according to claim 1, further comprising calculating the amount of water to be applied based on the soil moisture information and the moisture required by the target plant.

5. The target point cloud data includes three-dimensional point cloud data configured by three-dimensional data of all pixel points corresponding to the target plant, and the method further includes: Recognizing growth data of the target plant at each time node based on second specified color data of the color point cloud data acquired at a plurality of time nodes and three-dimensional point cloud data acquired at a plurality of time nodes, wherein the growth data includes a crown area, a plant height, and / or a number of leaves; Calculating a leaf growth index at each time node of the target plant based on growth data at each time node of the target plant; The method according to any one of claims 1 to 4, further comprising: performing data fitting based on a leaf growth index at each time node of the target plant to obtain a leaf growth curve of the plant to reflect the growth status of the target plant.

6. The method further includes, after obtaining soil moisture content information obtained by measuring the target observation point of the solar power generation station with the humidity sensor, Obtaining soil information and parameter information of a solar power generation assembly at a target observation point within an area where the solar power generation station is located, wherein the parameter information of the solar power generation assembly includes weight information of the solar power generation assembly, angle information of a screw pile of the solar power generation assembly relative to the ground, and / or information of wind force received by the solar power generation assembly; and determining screw pile stability information based on the soil moisture information, the soil quality information, and the photovoltaic assembly parameter information.

7. When the area in which the solar power generation station is located includes areas of multiple terrain heights, the method further comprises: A method according to any one of claims 1 to 6, characterized in that it comprises establishing at least one observation point for each area of ​​terrain height.

8. an acquisition module used to acquire target point cloud data obtained by scanning a target plant with a target scanner, the target plant being a plant at a target observation point within an area where a solar power generation station is located, the target point cloud data including color point cloud data composed of color data of all pixel points corresponding to the target plant; a determination module used to determine the number of first specified color data in the color point cloud data; A monitoring device for plant wilting due to dehydration, characterized in that it includes a processing module used to warn the target plant about wilting due to dehydration when the number of first specified color data reaches a threshold corresponding to the target pre-warning level, and to control a mobile device corresponding to the target pre-warning level to perform corresponding processing on the target plant.

9. at least one processor and a memory; The memory stores computer executable instructions; An electronic device characterized in that the at least one processor executes computer-executable instructions stored in the memory, thereby causing the at least one processor to perform the method for monitoring wilting of plants due to dehydration described in any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon computer-executable instructions, the computer-executable instructions being used to realize the method for monitoring wilting of plants due to dehydration described in any one of claims 1 to 7 when executed by a processor.

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