Laser ablation numerical simulation method and device for laser weed remover

Abstract

The present invention relates to the field of numerical simulation technology, and in particular to a method and device for numerical simulation of laser ablation for laser weeders. The method comprises the following steps: using a built-in camera of the laser weeder to perform leaf heat mapping analysis and laser output energy curve analysis on the laser ablation process, generating two curves of ablated plant leaf heat and laser energy output; based on the two curves, constructing a three-dimensional model of the ablation process and performing ablation anomaly analysis on the information data of the ablated plant leaves, obtaining a three-dimensional model of the ablation process and an ablation anomaly assessment result; when it is determined to be abnormal ablation data, adjusting the laser energy output and performing an iterative anomaly analysis on the laser energy output curve until the assessment result is non-abnormal ablation data; when it is determined to be non-abnormal ablation data, performing simulated numerical analysis on the non-abnormal ablation data to obtain an ablation simulation value. The present invention can ensure the efficiency and accuracy of laser weeding.

Description

Technical Field

[0001] The invention relates to the technical field of numerical simulation, in particular to a method and a device for numerical simulation of laser ablation of a laser weed remover. Background Art

[0002] As a modern agricultural management technology, laser weeders have been widely used in agricultural crop management by using high-energy laser beams to accurately ablate weeds. One of its main advantages is the ability to accurately locate and selectively burn weeds, thereby minimizing damage to surrounding crops. Compared with traditional chemical weeding methods, laser weeders are more efficient and can significantly reduce labor costs and time investment. At the same time, since no chemical agents are required, laser weeding also avoids chemical changes to the soil and environment, which meets the requirements of sustainable development of modern agriculture. However, there are also some challenges and limitations to laser weeders. It has certain restrictions on regional use. In an environment with high dust content in space, the laser beam will be disturbed, affecting the weeding effect. At the same time, laser weeders will face problems of laser offset and laser energy loss in actual operation. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a numerical simulation method for laser ablation of a laser weed remover to solve at least one of the above technical problems.

[0004] To achieve the above object, a numerical simulation method for laser ablation of a laser weed remover comprises the following steps:

[0005] Step S1: using a built-in camera of the laser weed remover to collect and process leaf information images of ablated weed plants during laser ablation to obtain a set of ablated plant leaf information images; performing leaf information extraction processing on the ablated plant leaf information image set to obtain ablated plant leaf information data; performing leaf heat mapping and analysis on the ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves;

[0006] Step S2: monitoring the laser fluctuation signal of the laser ablation process by using the laser sensor built into the laser weed remover to obtain a real-time fluctuation signal spectrum of the laser ablation; analyzing the laser output energy curve of the real-time fluctuation signal spectrum of the laser ablation to obtain a laser energy output curve;

[0007] Step S3: constructing a three-dimensional model of the ablation process and analyzing ablation anomalies on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtaining a three-dimensional model of the ablation process and ablation anomaly assessment results, wherein the ablation anomaly assessment results include abnormal ablation data and non-abnormal ablation data;

[0008] Step S4: when it is determined that the ablation abnormality assessment result is abnormal ablation data, laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain an abnormal ablation laser energy output adjustment curve; and iterative abnormality analysis is performed on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve until the ablation abnormality assessment result is non-abnormal ablation data;

[0009] Step S5: When it is determined that the ablation abnormality assessment result is non-abnormal ablation data, a simulation numerical analysis is performed on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain an ablation simulation numerical value.

[0010] The present invention uses the built-in camera of the laser weeder to collect and process the images of plant leaves, which not only improves the accuracy and richness of data collection, but also provides a solid foundation for further research and analysis. This method of accurately obtaining the information of ablated plant leaves opens up new possibilities for the development of laser weeding technology, enables a deeper understanding of the subtle changes in the ablation process, and thus provides important support for optimizing the weeding effect. The introduction of the laser fluctuation signal monitoring system realizes the real-time monitoring and adjustment of the laser output energy changes, thereby ensuring that the effect and energy utilization of laser ablation can operate in the best state. This innovation not only improves the efficiency and accuracy of weeding, but also effectively reduces the impact of abnormal situations on crops or the environment, making laser weeding technology more reliable and safe. Based on the analysis of the heat curve and the energy output curve, the device can have a deeper understanding of the various changes in the ablation process and make timely adjustments to abnormal situations. This targeted response mechanism not only improves the weeding efficiency, but also maximizes the advantages of laser weeding technology while ensuring the safety of crops and the environment. Through simulated numerical analysis, the device can predict and evaluate the effect of laser ablation, providing a scientific basis for optimizing the performance of the laser weeder. This forward-looking optimization method not only improves weed control efficiency, but also reduces waste of resources.

[0011] Preferably, step S1 comprises the following steps:

[0012] Step S11: using a built-in camera of the laser weed remover to collect and process leaf information images of the ablated weed plants during the laser ablation process, so as to obtain a plant leaf information image set;

[0013] Step S12: extracting leaf information from the ablated plant leaf information image set to obtain ablated plant leaf information data;

[0014] Step S13: performing infrared image analysis on the ablated plant leaf information data to obtain infrared image data of the ablated plant leaf;

[0015] Step S14: drawing a temperature distribution map of the ablated weed plant according to the infrared image data of the ablated plant leaf to obtain a temperature distribution map of the ablated plant leaf;

[0016] Step S15: performing leaf heat mapping analysis on the temperature distribution diagram of the ablated plant leaves based on the ablated plant leaf information data to generate a heat curve of the ablated plant leaves.

[0017] The present invention can not only obtain detailed information of plant leaves by introducing cameras and image processing technology, but also convert this information into data that can be used for subsequent analysis. This technology not only provides basic data for infrared analysis and drawing of temperature distribution maps, but also further improves the depth and accuracy of analysis through image infrared analysis technology. By detecting the temperature distribution of ablated plant leaves and converting it into quantifiable infrared image data, it is possible to more comprehensively understand the heat transfer during the ablation process, which provides an important basis for optimizing laser output parameters. By drawing and processing the temperature distribution map of the plant, the temperature distribution of the leaves can be intuitively displayed, which helps to more deeply understand the heat transfer during the ablation process. Taking into account the leaf information data and the temperature distribution map, a leaf heat curve can be further generated to quantify the leaf heat distribution. These data are not only crucial for evaluating the laser ablation effect, but also provide a scientific basis for optimizing the subsequent laser output parameters. Through these analyses and optimizations, the efficiency and accuracy of the laser weeder can be further improved. The optimized laser output parameters will be more in line with the characteristics and needs of the plant, thereby achieving a more efficient and accurate weeding effect.

[0018] Preferably, step S15 comprises the following steps:

[0019] Step S151: performing leaf component ratio analysis on the ablated plant leaf information data to obtain leaf tissue and water content ratio data;

[0020] Step S152: performing leaf specific heat capacity measurement processing on the leaf tissue and water content ratio data to obtain the specific heat capacity of the ablated plant leaf;

[0021] Step S153: performing leaf heat flow analysis on the ablated plant leaf temperature distribution diagram based on the ablated plant leaf information data to obtain ablated plant leaf heat flow data;

[0022] Step S154: performing internal and external factor analysis on the heat flow data of the ablated plant leaves based on the ablated plant leaf information data to obtain heat conduction data inside the leaves and heat dissipation data on the leaf surface;

[0023] Step S155: performing heat accumulation analysis on the specific heat capacity of the ablated plant leaves based on the heat conduction data inside the leaves and the heat dissipation data on the leaf surface to obtain leaf heat accumulation data;

[0024] Step S156: performing curve drawing analysis on the ablated plant leaf information data according to the leaf heat accumulation data to generate a ablated plant leaf heat curve.

[0025] The present invention obtains data on the ratio of leaf tissue to water content, and has a deep understanding of the physical properties of plant leaves, laying the foundation for subsequent thermal analysis. Among them, the specific heat capacity of ablated plant leaves can be calculated through the measurement of leaf specific heat capacity. This value can reflect the ability of leaves to absorb and conduct heat, and is an important parameter for subsequent thermal analysis. Heat flow analysis can intuitively show the heat transfer inside and on the surface of the leaves, which helps to understand the temperature distribution diagram and provides a dynamic reference for subsequent heat accumulation analysis. Based on the leaf information data, the internal and external factors of the leaf heat flow data are analyzed to obtain the leaf internal heat conduction data and the leaf surface heat dissipation data, thereby revealing the key factors affecting heat conduction in the ablation process. The heat accumulation analysis of the leaf specific heat capacity is performed using the leaf internal heat conduction data and the leaf surface heat dissipation data to obtain the leaf heat accumulation data, thereby evaluating the heat changes of plant leaves during the ablation process. Based on these leaf heat accumulation data, the leaf information is plotted and analyzed to generate the ablated plant leaf heat curve, thereby more comprehensively understanding the heat change law of plant leaves during the ablation process. The comprehensive application of these analyses and data can provide an important scientific basis for optimizing the laser ablation process, thereby improving the efficiency and accuracy of laser weeders.

[0026] Preferably, step S2 comprises the following steps:

[0027] Step S21: monitoring the laser fluctuation signal of the laser ablation process of the laser weeder through the laser sensor built into the laser weeder to obtain a real-time fluctuation signal spectrum of the laser ablation;

[0028] Step S22: performing laser wavelength analysis on the laser ablation real-time fluctuation signal spectrum to obtain the ablation laser wavelength;

[0029] Step S23: Identify the ablation laser wavelength and obtain the laser energy density to obtain the ablation laser energy density;

[0030] Step S24: performing spectrum peak analysis on the laser ablation real-time fluctuation signal spectrum to obtain the ablation laser peak rate;

[0031] Step S25: performing laser repetition frequency analysis on the laser peak rate to obtain the ablation laser repetition frequency;

[0032] Step S26: Perform output energy analysis and curve drawing processing according to the ablation laser energy density and the ablation laser repetition frequency to obtain a laser energy output curve.

[0033] The present invention can obtain the real-time fluctuation signal spectrum of laser ablation by monitoring the laser fluctuation signal during the laser ablation process, which provides important data support for understanding the fluctuation of the laser during the ablation process. At the same time, by identifying the wavelength of the ablation laser and obtaining its energy density, the energy density level of the laser during the ablation process can be determined. These parameters provide an important reference basis for the analysis of the subsequent laser output curve. The peak value analysis of the real-time fluctuation signal spectrum of laser ablation can obtain the peak rate of the ablation laser, which helps to understand the peak situation in the laser output and provides key data for the analysis of the laser output curve. In addition, the repetition frequency is also an important factor affecting the laser output energy and the ablation effect. Therefore, the analysis of the repetition frequency can provide the necessary parameters for the evaluation of the output energy. The output energy analysis and curve drawing processing based on the ablation laser energy density and the repetition frequency can obtain the laser energy output curve, so as to deeply understand the energy output situation during the laser ablation process. These analysis results provide an important basis for optimizing the performance of the laser weeder, so that it can be more effectively applied to agricultural production, improve weeding efficiency, and reduce resource waste.

[0034] Preferably, step S3 comprises the following steps:

[0035] Step S31: performing three-dimensional spatial view modeling on the ablated plant leaf information data to obtain a three-dimensional plant model;

[0036] Step S32: performing ablation threshold analysis on the ablated plant leaf information data based on the ablated plant leaf heat curve to obtain a leaf ablation threshold;

[0037] Step S33: performing laser output energy analysis on the laser energy output curve based on the blade ablation threshold to obtain ablation threshold laser output energy data;

[0038] Step S34: performing ablation simulation processing on the plant three-dimensional model based on the ablation threshold laser output energy data to obtain a three-dimensional model of the ablation process;

[0039] Step S35: Based on the blade ablation threshold and the ablation threshold laser output energy data, an abnormality analysis is performed on the ablation process three-dimensional model to obtain an ablation abnormality assessment result, wherein the ablation abnormality assessment result includes abnormal ablation data and non-abnormal ablation data.

[0040] The present invention can obtain an accurate three-dimensional model of the plant by modeling the three-dimensional spatial view of the plant leaf information data, which is crucial for visualizing the plant structure and observing and analyzing the laser ablation effect. In addition, through the ablation threshold analysis, the threshold of the ablation reaction of the leaf can be determined, which helps to distinguish effective ablation from abnormal ablation, thereby providing an important reference for optimizing laser parameters and improving the ablation effect. Based on the ablation threshold generated by the leaf, the laser output energy curve is analyzed for laser output energy, and the laser output energy data under the ablation threshold can be obtained, which helps to determine the relationship between the laser output energy and the ablation threshold, and provides a basis for optimizing the laser ablation process. At the same time, the ablation threshold laser output energy data is used to perform ablation simulation processing on the plant three-dimensional model to obtain a three-dimensional model of the ablation process, which can simulate the changes of the plant in the actual ablation process and provide support for the analysis of the ablation effect. Based on the ablation threshold generated by the leaf and the ablation threshold laser output energy data, the three-dimensional model of the ablation process can be analyzed for abnormality, thereby obtaining the ablation abnormality assessment result, which can accurately evaluate the abnormal situation in the ablation process and provide a basis for timely adjusting the laser parameters to improve the ablation effect. In summary, this technology can not only improve the efficiency and accuracy of laser ablation, but also provide important support for the management and optimization of plant ablation processes.

[0041] Preferably, step S35 includes the following steps:

[0042] Step S351: performing time analysis on the blade ablation threshold based on the three-dimensional model of the ablation process to obtain blade ablation time data;

[0043] Step S352: performing blade receiving energy analysis on the three-dimensional model of the ablation process based on the blade generating ablation time data to obtain blade ablation threshold receiving energy data;

[0044] Step S353: constructing a curve for blade ablation threshold receiving energy data and ablation threshold laser output energy data to obtain a blade threshold energy curve;

[0045] Step S354: analyzing the energy reception abnormal interval of the blade threshold energy curve to obtain the ablation blade receiving energy abnormal interval;

[0046] Step S355: Based on the abnormal interval of the ablation blade receiving energy and the blade threshold energy curve, the abnormal data analysis and evaluation of the ablation process three-dimensional model is performed to obtain the ablation abnormality evaluation result, wherein the ablation abnormality evaluation result includes abnormal ablation data and non-abnormal ablation data.

[0047] The present invention can accurately determine the time point when the leaf starts ablation by analyzing the time when the leaf generates the ablation threshold, which is very critical for controlling the timing of the ablation process. At the same time, by using the leaf ablation time data to analyze the leaf receiving energy on the three-dimensional model of the ablation process, the energy received by the leaf during the ablation process can be understood, which provides an important basis for evaluating the ablation effect. By processing the curve of the leaf ablation threshold receiving energy data and the ablation threshold laser output energy data, the leaf threshold energy curve can be obtained, which helps to deeply analyze the relationship between the leaf receiving energy and the laser output energy. By analyzing the energy receiving abnormal interval of the leaf threshold energy curve, the abnormal interval of the ablation leaf in the energy receiving process can be accurately located, which provides guidance for the timely handling of abnormal situations. Based on the ablation leaf receiving energy abnormal interval and the leaf threshold energy curve, the abnormal data analysis and evaluation of the three-dimensional model of the ablation process can accurately evaluate the abnormal situation of the leaf during the ablation process, which provides an important reference for adjusting laser parameters and optimizing the ablation effect. This systematic analysis method not only improves the efficiency and accuracy of the ablation process, but also provides an in-depth theoretical basis and practical guidance for further optimizing plant ablation technology.

[0048] Preferably, step S4 comprises the following steps:

[0049] Step S41: when it is determined that the ablation abnormality assessment result is abnormal ablation data, the laser path space dust data acquisition process is performed on the laser ablation process to obtain dust condition data;

[0050] Step S42: Analyze the dust condition data in terms of concentration and particle size characteristics to obtain dust concentration data and dust particle size data;

[0051] Step S43: constructing a two-dimensional data grid for the dust condition data based on the dust concentration data and the dust particle size data to obtain a dust two-dimensional data grid;

[0052] Step S44: performing laser processing on each grid of the dust two-dimensional data grid to obtain dust grid laser data;

[0053] Step S45: performing deviation analysis on the ablation laser data based on the dust grid laser data to obtain an abnormal ablation deviation value;

[0054] Step S46: performing laser energy output adjustment processing on the abnormal ablation deviation value based on the laser energy output curve to obtain an abnormal ablation laser energy output adjustment curve;

[0055] Step S47: performing iterative abnormal analysis on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve, until the ablation abnormality assessment result is non-abnormal ablation data.

[0056] The present invention can fully understand the generation of dust in the ablation process by acquiring and processing detailed data of dust during laser ablation, which provides important data support for analyzing abnormal ablation. In particular, through the analysis of concentration and particle size characteristics, the nature of dust can be deeply understood, which is helpful to further optimize the ablation process. By constructing a two-dimensional data grid, the distribution of dust in space can be intuitively displayed, which not only helps to analyze the blocking or reflection of laser energy, but also provides information support for the positioning of abnormal ablation. Further, laser processing is performed on each grid and corresponding data is obtained, which can more accurately analyze the laser processing situation of each area, providing a more targeted solution for solving the abnormal ablation problem. By quantifying the influence of dust on laser energy output through deviation analysis, a quantitative basis can be provided for subsequent energy output adjustment, thereby more effectively solving the abnormal ablation problem. By adjusting the laser energy output of the abnormal ablation deviation value, an abnormal ablation laser energy output adjustment curve can be obtained, and then the laser energy output can be adjusted, and finally the normal progress of the ablation process can be achieved, ensuring the excellent performance of the laser weeding effect. This systematic analysis and adjustment method not only improves the efficiency and stability of laser ablation technology, but also provides a reliable guarantee for achieving good results in plant weed control.

[0057] Preferably, step S45 includes the following steps:

[0058] Step S451: performing laser deviation angle analysis on ablation laser data based on dust grid laser data to obtain laser deviation angle data;

[0059] Step S452: performing deviation light extraction processing on the dust grid laser data based on the laser deviation angle data to obtain deviation light data within the dust grid;

[0060] Step S453: performing energy loss analysis on the deviation light data in the dust net based on the ablation laser data to obtain deviation light loss energy data;

[0061] Step S454: constructing a curve for the dust grid laser data based on the laser deviation angle data and the deviation light loss energy data to obtain a dust-affected light deviation curve;

[0062] Step S455: performing ablation deviation value analysis on the ablation laser data based on the dust-affected light deviation curve to obtain an abnormal ablation deviation value.

[0063] The present invention can obtain the deviation angle data of the laser during the processing process through laser deviation angle analysis, which provides an important basis for subsequent analysis. Such analysis helps to understand the precise irradiation of the laser on the target surface and provides a reliable basis for further optimizing the laser processing parameters. The deviation light extraction process can effectively identify and separate the deviation light caused by dust, which enables a clear analysis of the influence of dust on laser energy transfer and ablation effect. By quantifying the energy loss, it is possible to more accurately evaluate whether the laser energy output has achieved the expected effect, and the laser parameters can be optimized accordingly to ensure the best ablation effect. The dust grid laser data is constructed to obtain the dust-affected light deviation curve, which further helps to analyze the specific influence of dust on laser processing. Such analysis not only provides a reliable basis for the identification of abnormal ablation conditions, but also provides important information support for subsequent diagnosis and processing. The ablation deviation value analysis based on the dust-affected light deviation curve can help determine the specific deviation of the laser during the processing process, which provides a more accurate and reliable basis for the diagnosis of abnormal ablation conditions. In summary, this technology not only improves the accuracy and efficiency of laser ablation processing, but also provides a comprehensive and effective solution for solving abnormal ablation problems.

[0064] Preferably, step S5 comprises the following steps:

[0065] Step S51: when it is determined that the ablation abnormality assessment result is non-abnormal ablation data, an ablation time analysis is performed on the three-dimensional model of the ablation process to obtain blade ablation time data;

[0066] Step S52: performing two-dimensional plane mapping processing on the three-dimensional model of the ablation process to obtain ablation two-dimensional plane data;

[0067] Step S53: performing ablation area analysis on the non-abnormal ablation data based on the ablation two-dimensional plane data to obtain blade ablation area data;

[0068] Step S54: performing ablation velocity analysis on the blade ablation area data based on the blade ablation time data to obtain blade ablation velocity data;

[0069] Step S55: performing simulation numerical analysis on the blade ablation area data and the blade ablation velocity data to obtain ablation simulation numerical values.

[0070] The present invention can accurately quantify the duration of the entire ablation process through a detailed analysis of the ablation time, thereby providing basic data for evaluating the laser weeding processing speed. Such analysis can not only help understand the efficiency of laser weeding, but also provide guidance for the optimization of the workflow. Expanding the three-dimensional model of the ablation process into two-dimensional plane data helps to convert complex three-dimensional information into more intuitive and easy-to-understand two-dimensional data. Such processing provides convenience, making subsequent analysis and interpretation more concise and clear. Through the ablation area analysis, the specific area of ​​the leaf ablation can be quantified, providing quantitative data support for evaluating the effect and coverage of laser weeding. Combined with the analysis of the leaf ablation speed data, the speed of leaf ablation can be accurately determined, which provides an important reference for optimizing the ablation efficiency. By performing simulated numerical analysis on the leaf ablation area data and the ablation speed data, a more in-depth ablation simulation value can be obtained, thereby predicting the change trend in the leaf ablation process. Such analysis can not only help better understand the dynamic changes in the laser weeding process, but also provide important reference and guidance for subsequent work. These extended effects further enhance the application prospects and value of this technology in the field of laser weeding.

[0071] Preferably, the present invention further provides a laser ablation numerical simulation device for a laser weeder, which is used to execute the laser ablation numerical simulation method for a laser weeder as described above, and the laser ablation numerical simulation device for a laser weeder comprises:

[0072] The weed information acquisition module is used to collect and process leaf information images of ablated weed plants during laser ablation through a built-in camera of the laser weed remover to obtain a set of ablated plant leaf information images; extract leaf information from the ablated plant leaf information image set to obtain ablated plant leaf information data; and perform leaf heat mapping and analysis on ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves;

[0073] The ablation laser information acquisition module is used to monitor the laser fluctuation signal of the laser ablation process through the laser sensor built into the laser weed remover to obtain the real-time fluctuation signal spectrum of the laser ablation; perform laser output energy curve analysis on the real-time fluctuation signal spectrum of the laser ablation to obtain the laser energy output curve;

[0074] The ablation process three-dimensional model and abnormality analysis module is used to construct a three-dimensional model of the ablation process and perform ablation abnormality analysis on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtain the ablation process three-dimensional model and ablation abnormality assessment results, wherein the ablation abnormality assessment results include abnormal ablation data and non-abnormal ablation data;

[0075] The abnormal ablation data analysis module is used to determine that when the ablation abnormality assessment result is abnormal ablation data, the laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain the abnormal ablation laser energy output adjustment curve; based on the ablation plant leaf heat curve, the abnormal ablation laser energy output adjustment curve is iteratively analyzed until the ablation abnormality assessment result is non-abnormal ablation data;

[0076] The non-abnormal ablation data processing module is used to determine that when the ablation abnormality assessment result is non-abnormal ablation data, perform simulated numerical analysis on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain the ablation simulation value.

[0077] In summary, the present invention provides a method and device for numerical simulation of laser ablation for a laser weeder. The laser ablation numerical simulation device for the laser weeder consists of a weed information acquisition module, an ablation laser information acquisition module, a three-dimensional model and abnormality analysis module of the ablation process, an abnormal ablation data analysis module, and a non-abnormal ablation data processing module. It can realize any one of the laser ablation numerical simulation methods for the laser weeder described in the present invention, and is used to combine the operations between computer programs running on each module to realize any one of the laser ablation numerical simulation methods for the laser weeder. The internal structures of the device cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient laser ablation numerical simulation process, thereby simplifying the operation process of the laser ablation numerical simulation for the laser weeder. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0079] Figure 1 A schematic flow chart of the steps of the numerical simulation method for laser ablation of a laser weed remover according to the present invention;

[0080] Figure 2 for Figure 1 Detailed step flow diagram of step S4;

[0081] Figure 3 for Figure 2 Detailed step flow diagram of step S45; DETAILED DESCRIPTION

[0082] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0083] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0084] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0085] To achieve this, please refer to Figures 1 to 3 The present invention provides a numerical simulation method for laser ablation of a laser weed remover, comprising the following steps:

[0086] Step S1: using a built-in camera of the laser weed remover to collect and process leaf information images of ablated weed plants during laser ablation to obtain a set of ablated plant leaf information images; performing leaf information extraction processing on the ablated plant leaf information image set to obtain ablated plant leaf information data; performing leaf heat mapping and analysis on the ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves;

[0087] Step S2: monitoring the laser fluctuation signal of the laser ablation process by using the laser sensor built into the laser weed remover to obtain a real-time fluctuation signal spectrum of the laser ablation; analyzing the laser output energy curve of the real-time fluctuation signal spectrum of the laser ablation to obtain a laser energy output curve;

[0088] Step S3: constructing a three-dimensional model of the ablation process and analyzing ablation anomalies on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtaining a three-dimensional model of the ablation process and ablation anomaly assessment results, wherein the ablation anomaly assessment results include abnormal ablation data and non-abnormal ablation data;

[0089] Step S4: when it is determined that the ablation abnormality assessment result is abnormal ablation data, laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain an abnormal ablation laser energy output adjustment curve; and iterative abnormality analysis is performed on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve until the ablation abnormality assessment result is non-abnormal ablation data;

[0090] Step S5: When it is determined that the ablation abnormality assessment result is non-abnormal ablation data, a simulation numerical analysis is performed on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain an ablation simulation numerical value.

[0091] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the numerical simulation method for laser ablation of a laser weeder according to the present invention. In this example, the numerical simulation method for laser ablation of a laser weeder includes the following steps:

[0092] Step S1: using a built-in camera of the laser weed remover to collect and process leaf information images of ablated weed plants during laser ablation to obtain a set of ablated plant leaf information images; performing leaf information extraction processing on the ablated plant leaf information image set to obtain ablated plant leaf information data; performing leaf heat mapping and analysis on the ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves;

[0093] The embodiment of the present invention uses the built-in camera of the laser weed remover to collect and process the leaf information images of the ablated weed plants during the laser ablation process. For example, the laser weed remover camera takes pictures of the leaves of the ablated weed plants and transmits the images to a computer for processing; extracts the leaf information of the ablated plant leaf information image set to obtain the ablated plant leaf information data; performs infrared image analysis on the ablated plant leaf information data and the ablated plant leaf images to obtain the ablated plant leaf infrared image data; draws the temperature distribution map of the ablated weed plants according to the ablated plant leaf infrared image data to obtain the ablated plant leaf temperature distribution map; calculates the heat distribution of the leaves based on the ablated plant leaf temperature distribution map, and draws a curve of the leaf heat change over time. In this way, a more comprehensive understanding of the heat change of the leaves during the ablation process can be obtained.

[0094] Step S2: monitoring the laser fluctuation signal of the laser ablation process by using the laser sensor built into the laser weed remover to obtain a real-time fluctuation signal spectrum of the laser ablation; analyzing the laser output energy curve of the real-time fluctuation signal spectrum of the laser ablation to obtain a laser energy output curve;

[0095] In the embodiment of the present invention, the laser fluctuation signal of the laser ablation process is monitored by the laser sensor built into the laser weed remover, and the fluctuation signal data is recorded. The relevant laser information is obtained from the fluctuation signal data, such as the laser energy density and the laser repetition frequency. The laser output energy intensity is analyzed based on the laser information and then a curve is constructed to obtain a laser energy output curve.

[0096] Step S3: constructing a three-dimensional model of the ablation process and analyzing ablation anomalies on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtaining a three-dimensional model of the ablation process and ablation anomaly assessment results, wherein the ablation anomaly assessment results include abnormal ablation data and non-abnormal ablation data;

[0097] The embodiment of the present invention performs three-dimensional spatial modeling on the ablated plant to obtain a basic spatial three-dimensional model, constructs a three-dimensional model of the ablation process based on the three-dimensional model for the thermal curve of the ablated plant leaves and the laser energy output curve, and then analyzes the energy absorption threshold of the ablated plant leaves and the laser output energy data according to the thermal curve of the ablated plant leaves and the laser energy output curve to obtain curve-related energy parameters; the curve-related energy parameters analyze the abnormal interval to obtain the curve-related energy parameter difference interval, if the curve-related energy parameter difference is within the interval, it is determined to be abnormal ablation data, if it is not in the interval, it is determined to be non-abnormal ablation data.

[0098] Step S4: when it is determined that the ablation abnormality assessment result is abnormal ablation data, laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain an abnormal ablation laser energy output adjustment curve; and iterative abnormality analysis is performed on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve until the ablation abnormality assessment result is non-abnormal ablation data;

[0099] The embodiment of the present invention extracts space dust from the laser ablation process when the ablation anomaly assessment result is determined to be abnormal ablation data, analyzes the cause of the laser anomaly with the space dust as the laser anomaly influencing factor, confirms the energy loss data caused by the influence of space dust during the laser ablation process, and corrects the ablation laser deviation based on the energy loss data to obtain non-abnormal ablation data.

[0100] Step S5: When it is determined that the ablation abnormality assessment result is non-abnormal ablation data, a simulation numerical analysis is performed on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain an ablation simulation numerical value.

[0101] When the ablation abnormality assessment result is determined to be non-abnormal ablation data, the embodiment of the present invention performs simulated numerical analysis on the non-abnormal ablation data based on a three-dimensional model of the ablation process, performs two-dimensional plane mapping on the three-dimensional model, and analyzes the area change data of the ablation process as the ablation value based on the mapped plane data.

[0102] The present invention uses the built-in camera of the laser weeder to collect and process the images of plant leaves, which not only improves the accuracy and richness of data collection, but also provides a solid foundation for further research and analysis. This method of accurately obtaining the information of ablated plant leaves opens up new possibilities for the development of laser weeding technology, enables a deeper understanding of the subtle changes in the ablation process, and thus provides important support for optimizing the weeding effect. The introduction of the laser fluctuation signal monitoring system realizes the real-time monitoring and adjustment of the laser output energy changes, thereby ensuring that the effect and energy utilization of laser ablation can operate in the best state. This innovation not only improves the efficiency and accuracy of weeding, but also effectively reduces the impact of abnormal situations on crops or the environment, making laser weeding technology more reliable and safe. Based on the analysis of the heat curve and the energy output curve, the device can have a deeper understanding of the various changes in the ablation process and make timely adjustments to abnormal situations. This targeted response mechanism not only improves the weeding efficiency, but also maximizes the advantages of laser weeding technology while ensuring the safety of crops and the environment. Through simulated numerical analysis, the device can predict and evaluate the effect of laser ablation, providing a scientific basis for optimizing the performance of the laser weeder. This forward-looking optimization method not only improves weed control efficiency, but also reduces waste of resources.

[0103] Preferably, step S1 comprises the following steps:

[0104] Step S11: using a built-in camera of the laser weed remover to collect and process leaf information images of the ablated weed plants during the laser ablation process, so as to obtain a plant leaf information image set;

[0105] The embodiment of the present invention uses a built-in camera to capture images of weed plant leaves during laser ablation in real time during the operation of the laser weed remover. These images are collected and processed to form a complete leaf information image set.

[0106] Step S12: extracting leaf information from the ablated plant leaf information image set to obtain ablated plant leaf information data;

[0107] The embodiment of the present invention extracts relevant information of ablated plant leaves, such as shape, size, and color, from a leaf information image set by using image processing technology, and the leaf information is converted into a usable data format.

[0108] Step S13: performing infrared image analysis on the ablated plant leaf information data to obtain infrared image data of the ablated plant leaf;

[0109] The embodiment of the present invention performs infrared image analysis on the ablated plant leaf information data to obtain infrared image data of the ablated plant leaf, uses infrared imaging technology to analyze the leaf information data, obtains the heat distribution of the leaf, and generates infrared image data.

[0110] Step S14: drawing a temperature distribution map of the ablated weed plant according to the infrared image data of the ablated plant leaf to obtain a temperature distribution map of the ablated plant leaf;

[0111] The embodiment of the present invention converts infrared image data of ablated plant leaves into a temperature distribution map, performs quantitative analysis on different colors or grayscale tones in the image, each tone represents a specific temperature value on the leaf, and can visually represent the temperature distribution by assigning color codes or using pseudo tones. The temperature distribution map thus generated.

[0112] Step S15: performing leaf heat mapping analysis on the temperature distribution diagram of the ablated plant leaves based on the ablated plant leaf information data to generate a heat curve of the ablated plant leaves.

[0113] The embodiment of the present invention combines a temperature distribution diagram based on ablated plant leaf information data with leaf thermal analysis, analyzes the data points in the temperature distribution diagram to draw a leaf thermal curve, which shows the heat distribution within the plant leaves and changes with time or leaf position.

[0114] The present invention can not only obtain detailed information of plant leaves by introducing cameras and image processing technology, but also convert this information into data that can be used for subsequent analysis. This technology not only provides basic data for infrared analysis and drawing of temperature distribution maps, but also further improves the depth and accuracy of analysis through image infrared analysis technology. By detecting the temperature distribution of ablated plant leaves and converting it into quantifiable infrared image data, it is possible to more comprehensively understand the heat transfer during the ablation process, which provides an important basis for optimizing laser output parameters. By drawing and processing the temperature distribution map of the plant, the temperature distribution of the leaves can be intuitively displayed, which helps to more deeply understand the heat transfer during the ablation process. Taking into account the leaf information data and the temperature distribution map, a leaf heat curve can be further generated to quantify the leaf heat distribution. These data are not only crucial for evaluating the laser ablation effect, but also provide a scientific basis for optimizing the subsequent laser output parameters. Through these analyses and optimizations, the efficiency and accuracy of the laser weeder can be further improved. The optimized laser output parameters will be more in line with the characteristics and needs of the plant, thereby achieving a more efficient and accurate weeding effect.

[0115] Preferably, step S15 comprises the following steps:

[0116] Step S151: performing leaf component ratio analysis on the ablated plant leaf information data to obtain leaf tissue and water content ratio data;

[0117] The embodiments of the present invention process the ablated plant leaf information data to analyze leaf image features, such as texture, color, and transparency. By applying image processing algorithms and machine learning techniques, leaf tissues, such as the proportion of chloroplasts, cell walls, and chambers, can be estimated. At the same time, by identifying waterlogged areas in the image or applying a moisture detection algorithm, the water content of the leaf can be determined.

[0118] Step S152: performing leaf specific heat capacity measurement processing on the leaf tissue and water content ratio data to obtain the specific heat capacity of the ablated plant leaf;

[0119] The embodiment of the present invention can calculate the specific heat capacity of the leaf according to a specific ratio of leaf tissue and water content and with reference to a known material property database by applying thermodynamic principles and material properties.

[0120] Step S153: performing leaf heat flow analysis on the ablated plant leaf temperature distribution diagram based on the ablated plant leaf information data to obtain ablated plant leaf heat flow data;

[0121] By analyzing the temperature gradient and blade structure, the embodiment of the present invention can infer the transfer of heat from the high temperature area to the low temperature area. This analysis takes into account the thermal conductivity of the blade material and the blade geometry. The heat flow data generated thereby quantifies the movement of heat within the blade.

[0122] Step S154: performing internal and external factor analysis on the heat flow data of the ablated plant leaves based on the ablated plant leaf information data to obtain heat conduction data inside the leaves and heat dissipation data on the leaf surface;

[0123] The embodiments of the present invention can quantify these two key processes by distinguishing between heat conduction inside the blade and heat dissipation on the blade surface. The leaf tissue, cell structure and water content will affect the heat transfer within the blade. At the same time, the blade shape, texture and environmental conditions will affect the heat exchange between the blade surface and the surrounding environment.

[0124] Step S155: performing heat accumulation analysis on the specific heat capacity of the ablated plant leaves based on the heat conduction data inside the leaves and the heat dissipation data on the leaf surface to obtain leaf heat accumulation data;

[0125] By considering the specific heat capacity, the embodiments of the present invention can determine the heat absorption and storage capacity of the blade material at a given temperature. By combining this information with internal heat conduction and surface cooling data, the net accumulation of heat in the blade can be calculated while taking into account heat input, internal movement and losses.

[0126] Step S156: performing curve drawing analysis on the ablated plant leaf information data according to the leaf heat accumulation data to generate a ablated plant leaf heat curve.

[0127] In an embodiment of the present invention, leaf heat accumulation data is visualized as a heat curve of ablated plant leaves, which shows the heat level over time or at the leaf position, including multiple data points, each data point corresponding to a specific position or time within the leaf. The heat curve can show trends, maximum values ​​or minimum values.

[0128] The present invention obtains data on the ratio of leaf tissue to water content, and has a deep understanding of the physical properties of plant leaves, laying the foundation for subsequent thermal analysis. Among them, the specific heat capacity of ablated plant leaves can be calculated through the measurement of leaf specific heat capacity. This value can reflect the ability of leaves to absorb and conduct heat, and is an important parameter for subsequent thermal analysis. Heat flow analysis can intuitively show the heat transfer inside and on the surface of the leaves, which helps to understand the temperature distribution diagram and provides a dynamic reference for subsequent heat accumulation analysis. Based on the leaf information data, the internal and external factors of the leaf heat flow data are analyzed to obtain the leaf internal heat conduction data and the leaf surface heat dissipation data, thereby revealing the key factors affecting heat conduction in the ablation process. The heat accumulation analysis of the leaf specific heat capacity is performed using the leaf internal heat conduction data and the leaf surface heat dissipation data to obtain the leaf heat accumulation data, thereby evaluating the heat changes of plant leaves during the ablation process. Based on these leaf heat accumulation data, the leaf information is plotted and analyzed to generate the ablated plant leaf heat curve, thereby more comprehensively understanding the heat change law of plant leaves during the ablation process. The comprehensive application of these analyses and data can provide an important scientific basis for optimizing the laser ablation process, thereby improving the efficiency and accuracy of laser weeders.

[0129] Preferably, step S2 comprises the following steps:

[0130] Step S21: monitoring the laser fluctuation signal of the laser ablation process of the laser weeder through the laser sensor built into the laser weeder to obtain a real-time fluctuation signal spectrum of the laser ablation;

[0131] The embodiment of the present invention monitors the laser fluctuation signal of the laser ablation process of the laser weeder through the laser sensor built into the laser weeder to obtain the real-time fluctuation signal spectrum of the laser ablation, records the change of the fluctuation signal, and converts it into the fluctuation signal spectrum.

[0132] Step S22: performing laser wavelength analysis on the laser ablation real-time fluctuation signal spectrum to obtain the ablation laser wavelength;

[0133] The embodiment of the present invention obtains the ablation laser wavelength by performing laser wavelength analysis on the real-time fluctuation signal spectrum of laser ablation, and determines the wavelength characteristics of the laser by analyzing the fluctuation signal spectrum.

[0134] Step S23: Identify the ablation laser wavelength and obtain the laser energy density to obtain the ablation laser energy density;

[0135] The embodiment of the present invention performs laser recognition on the laser wavelength, analyzes the laser power, laser beam width and focal size based on the laser type, calculates the energy density based on the laser energy density related parameters, and can determine the energy density value.

[0136] Step S24: performing spectrum peak analysis on the laser ablation real-time fluctuation signal spectrum to obtain the ablation laser peak rate;

[0137] The embodiment of the present invention checks the peak characteristics of the real-time fluctuation signal spectrum by identifying and analyzing the peak values ​​in the signal spectrum, and the peak rate represents the ratio of signal strength to time.

[0138] Step S25: performing laser repetition frequency analysis on the laser peak rate to obtain the ablation laser repetition frequency;

[0139] The embodiment of the present invention can determine the repetition frequency by analyzing the change of the peak rate, which involves calculating the time interval between peaks or using a signal processing algorithm to detect the repetition pattern.

[0140] Step S26: Perform output energy analysis and curve drawing processing according to the ablation laser energy density and the ablation laser repetition frequency to obtain a laser energy output curve.

[0141] The embodiments of the present invention can calculate the total energy transmission over a given area by considering the energy density and repetition frequency. This process involves integration, averaging or simulation techniques. The laser energy output curve generated thereby represents the energy output of the laser over time.

[0142] The present invention can obtain the real-time fluctuation signal spectrum of laser ablation by monitoring the laser fluctuation signal during the laser ablation process, which provides important data support for understanding the fluctuation of the laser during the ablation process. At the same time, by identifying the wavelength of the ablation laser and obtaining its energy density, the energy density level of the laser during the ablation process can be determined. These parameters provide an important reference basis for the analysis of the subsequent laser output curve. The peak value analysis of the real-time fluctuation signal spectrum of laser ablation can obtain the peak rate of the ablation laser, which helps to understand the peak situation in the laser output and provides key data for the analysis of the laser output curve. In addition, the repetition frequency is also an important factor affecting the laser output energy and the ablation effect. Therefore, the analysis of the repetition frequency can provide the necessary parameters for the evaluation of the output energy. The output energy analysis and curve drawing processing based on the ablation laser energy density and the repetition frequency can obtain the laser energy output curve, so as to deeply understand the energy output situation during the laser ablation process. These analysis results provide an important basis for optimizing the performance of the laser weeder, so that it can be more effectively applied to agricultural production, improve weeding efficiency, and reduce resource waste.

[0143] Preferably, step S3 comprises the following steps:

[0144] Step S31: performing three-dimensional spatial view modeling on the ablated plant leaf information data to obtain a three-dimensional plant model;

[0145] The embodiment of the present invention can construct a three-dimensional model by applying computer graphics technology and modeling algorithms to accurately display the size, shape and texture of the blade. This process includes gridding image data, surface modeling and texture mapping.

[0146] Step S32: performing ablation threshold analysis on the ablated plant leaf information data based on the ablated plant leaf heat curve to obtain a leaf ablation threshold;

[0147] The embodiment of the present invention analyzes a threshold value, which represents the minimum heat requirement for the onset of ablation. By analyzing the thermal curve, the critical heat level that causes leaf ablation can be identified. Based on the analysis of relevant information of plant leaves on the thermal curve, different tissue compositions, thicknesses, and sizes of plant leaves will result in different thermal threshold requirements.

[0148] Step S33: performing laser output energy analysis on the laser energy output curve based on the blade ablation threshold to obtain ablation threshold laser output energy data;

[0149] The embodiments of the present invention use the ablation threshold to analyze and determine the key parameters of the laser energy output, adjust and optimize the output energy of the laser based on the threshold requirements, and calculate and adjust the energy output by considering the energy density, focal spot size and repetition frequency. The goal is to ensure that the laser provides enough energy to reach the threshold while avoiding excessive output.

[0150] Step S34: performing ablation simulation processing on the plant three-dimensional model based on the ablation threshold laser output energy data to obtain a three-dimensional model of the ablation process;

[0151] In the embodiment of the present invention, an ablation simulation experiment is performed on a plant three-dimensional model by performing a threshold laser output that reaches the ablation condition, so as to obtain a three-dimensional model of the ablation process without factors affecting the laser output.

[0152] Step S35: Based on the blade ablation threshold and the ablation threshold laser output energy data, an abnormality analysis is performed on the ablation process three-dimensional model to obtain an ablation abnormality assessment result, wherein the ablation abnormality assessment result includes abnormal ablation data and non-abnormal ablation data.

[0153] The embodiment of the present invention analyzes and extracts relevant energy parameters of the ablation plant leaf heat curve and the laser energy output curve to obtain the leaf ablation threshold and the ablation threshold laser output energy data, and performs difference processing based on the two relevant energy parameters to construct an energy difference interval. If the energy difference calculated for the parameter is within the interval, it means that the ablation threshold is not reached, and abnormal ablation data is obtained. If the energy difference calculated for the parameter is outside the interval, it means that the ablation threshold is reached, and non-abnormal ablation data is obtained.

[0154] The present invention can obtain an accurate three-dimensional model of the plant by modeling the three-dimensional spatial view of the plant leaf information data, which is crucial for visualizing the plant structure and observing and analyzing the laser ablation effect. In addition, through the ablation threshold analysis, the threshold of the ablation reaction of the leaf can be determined, which helps to distinguish effective ablation from abnormal ablation, thereby providing an important reference for optimizing laser parameters and improving the ablation effect. Based on the ablation threshold generated by the leaf, the laser output energy curve is analyzed for laser output energy, and the laser output energy data under the ablation threshold can be obtained, which helps to determine the relationship between the laser output energy and the ablation threshold, and provides a basis for optimizing the laser ablation process. At the same time, the ablation threshold laser output energy data is used to perform ablation simulation processing on the plant three-dimensional model to obtain a three-dimensional model of the ablation process, which can simulate the changes of the plant in the actual ablation process and provide support for the analysis of the ablation effect. Based on the ablation threshold generated by the leaf and the ablation threshold laser output energy data, the three-dimensional model of the ablation process can be analyzed for abnormality, thereby obtaining the ablation abnormality assessment result, which can accurately evaluate the abnormal situation in the ablation process and provide a basis for timely adjusting the laser parameters to improve the ablation effect. In summary, this technology can not only improve the efficiency and accuracy of laser ablation, but also provide important support for the management and optimization of plant ablation processes.

[0155] Preferably, step S35 includes the following steps:

[0156] Step S351: performing time analysis on the blade ablation threshold based on the three-dimensional model of the ablation process to obtain blade ablation time data;

[0157] The embodiment of the present invention processes the three-dimensional model to determine the ablation threshold time required for the blade to produce ablation, which involves simulating the interaction between laser energy and blade material, while monitoring the temperature change over time, and determining the time required to reach the threshold by analyzing the heat accumulation.

[0158] Step S352: performing blade receiving energy analysis on the three-dimensional model of the ablation process based on the blade generating ablation time data to obtain blade ablation threshold receiving energy data;

[0159] The embodiment of the present invention generates ablation time data based on the blade, analyzes the energy absorption of the blade in the three-dimensional model, quantifies the energy level received by the blade from the laser output, and analyzes the laser output energy, blade surface characteristics and thermal conductivity characteristics to calculate the total energy received by the blade.

[0160] Step S353: constructing a curve for blade ablation threshold receiving energy data and ablation threshold laser output energy data to obtain a blade threshold energy curve;

[0161] The embodiment of the present invention constructs a curve by analyzing the blade threshold and the received energy. The blade threshold energy curve represents the minimum energy level required to reach the ablation threshold, while the received energy represents the energy actually received by the blade. By drawing a graph between these values, the threshold, the optimal energy range, and any potential excessive energy areas can be identified.

[0162] Step S354: analyzing the energy reception abnormal interval of the blade threshold energy curve to obtain the ablation blade receiving energy abnormal interval;

[0163] The embodiments of the present invention can detect abnormal areas by analyzing the relationship between energy reception and threshold energy. For example, if the actual received energy is far below the threshold, abnormal ablation exists. Similarly, if the received energy far exceeds the threshold, this indicates an abnormal response of the blade material or a defect in energy transfer.

[0164] Step S355: Based on the abnormal interval of the ablation blade receiving energy and the blade threshold energy curve, the abnormal data analysis and evaluation of the ablation process three-dimensional model is performed to obtain the ablation abnormality evaluation result, wherein the ablation abnormality evaluation result includes abnormal ablation data and non-abnormal ablation data.

[0165] The embodiment of the present invention combines the abnormal interval and the energy curve, performs difference processing based on two related energy parameters, and constructs an energy difference interval. The energy difference interval is the abnormal interval of the ablation blade receiving energy. If the energy difference value calculated for the parameter is within the interval, it means that the ablation threshold is not reached, and abnormal ablation data is obtained. If the energy difference value calculated for the parameter is outside the interval, it means that the ablation threshold is reached, and non-abnormal ablation data is obtained.

[0166] The present invention can accurately determine the time point when the leaf starts ablation by analyzing the time when the leaf generates the ablation threshold, which is very critical for controlling the timing of the ablation process. At the same time, by using the leaf ablation time data to analyze the leaf receiving energy on the three-dimensional model of the ablation process, the energy received by the leaf during the ablation process can be understood, which provides an important basis for evaluating the ablation effect. By processing the curve of the leaf ablation threshold receiving energy data and the ablation threshold laser output energy data, the leaf threshold energy curve can be obtained, which helps to deeply analyze the relationship between the leaf receiving energy and the laser output energy. By analyzing the energy receiving abnormal interval of the leaf threshold energy curve, the abnormal interval of the ablation leaf in the energy receiving process can be accurately located, which provides guidance for the timely handling of abnormal situations. Based on the ablation leaf receiving energy abnormal interval and the leaf threshold energy curve, the abnormal data analysis and evaluation of the three-dimensional model of the ablation process can accurately evaluate the abnormal situation of the leaf during the ablation process, which provides an important reference for adjusting laser parameters and optimizing the ablation effect. This systematic analysis method not only improves the efficiency and accuracy of the ablation process, but also provides an in-depth theoretical basis and practical guidance for further optimizing plant ablation technology.

[0167] Preferably, step S4 comprises the following steps:

[0168] Step S41: when it is determined that the ablation abnormality assessment result is abnormal ablation data, the laser path space dust data acquisition process is performed on the laser ablation process to obtain dust condition data;

[0169] Step S42: Analyze the dust condition data in terms of concentration and particle size characteristics to obtain dust concentration data and dust particle size data;

[0170] Step S43: constructing a two-dimensional data grid for the dust condition data based on the dust concentration data and the dust particle size data to obtain a dust two-dimensional data grid;

[0171] Step S44: performing laser processing on each grid of the dust two-dimensional data grid to obtain dust grid laser data;

[0172] Step S45: performing deviation analysis on the ablation laser data based on the dust grid laser data to obtain an abnormal ablation deviation value;

[0173] Step S46: performing laser energy output adjustment processing on the abnormal ablation deviation value based on the laser energy output curve to obtain an abnormal ablation laser energy output adjustment curve;

[0174] Step S47: performing iterative abnormal analysis on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve, until the ablation abnormality assessment result is non-abnormal ablation data.

[0175] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S4 in FIG. 1 , in this embodiment, step S4 includes the following steps:

[0176] Step S41: when it is determined that the ablation abnormality assessment result is abnormal ablation data, the laser path space dust data acquisition process is performed on the laser ablation process to obtain dust condition data;

[0177] The embodiment of the present invention monitors dust and dust particles on the laser path through laser remote sensing technology, and can generate dust condition data, which includes dust concentration measurement and dust particle size distribution information.

[0178] Step S42: Analyze the dust condition data in terms of concentration and particle size characteristics to obtain dust concentration data and dust particle size data;

[0179] The embodiment of the present invention counts and measures dust particles by processing remote sensing images. Meanwhile, the particle size characterization describes the size distribution of particles by average size, size range or particle size classification.

[0180] Step S43: constructing a two-dimensional data grid for the dust condition data based on the dust concentration data and the dust particle size data to obtain a dust two-dimensional data grid;

[0181] An embodiment of the present invention involves dividing the laser path space into multiple discrete regions or grids through a gridding process, each grid represents a specific location in space and contains information about the dust and dust concentration in that area. By assigning concentration and particle size values, a profile can be created for each grid.

[0182] Step S44: performing laser processing on each grid of the dust two-dimensional data grid to obtain dust grid laser data;

[0183] The embodiment of the present invention performs laser processing on each two-dimensional data grid to determine the interaction between the laser and dust and dust particles. This process simulates or measures the laser energy propagation, reflection and absorption within each grid, calculates and analyzes the laser energy distribution of each grid, and the dust grid laser data obtained thereby provides information about the interaction, scattering and energy loss of the laser with dust.

[0184] Step S45: performing deviation analysis on the ablation laser data based on the dust grid laser data to obtain an abnormal ablation deviation value;

[0185] The embodiments of the present invention quantify dust concentration and dust particle size deviation by comparing ideal laser data (without dust influence) with dust grid laser data. This deviation analysis reveals dust and the degree of dust interference with laser energy output.

[0186] Step S46: performing laser energy output adjustment processing on the abnormal ablation deviation value based on the laser energy output curve to obtain an abnormal ablation laser energy output adjustment curve;

[0187] The embodiment of the present invention modifies the abnormal ablation deviation value based on the laser energy output curve. This process involves adjusting the output power, wavelength or focus of the laser, and adjusting to compensate for dust and the impact of dust on laser transmission. By applying optical models and considering dust characteristics, the required energy output changes can be calculated.

[0188] Step S47: performing iterative abnormal analysis on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve, until the ablation abnormality assessment result is non-abnormal ablation data.

[0189] The embodiment of the present invention further evaluates the modified laser energy output curve to verify the effectiveness of the corrective measures. This iterative process involves applying the thermal curve of ablation plant leaves and analyzing the results. Through simulation testing, the adjusted laser output is compared with the leaf response and compared with the abnormal energy absorption parameter range of the leaves. This step will be repeated until the ablation anomaly assessment result is non-abnormal ablation data.

[0190] The present invention can fully understand the generation of dust in the ablation process by acquiring and processing detailed data of dust during laser ablation, which provides important data support for analyzing abnormal ablation. In particular, through the analysis of concentration and particle size characteristics, the nature of dust can be deeply understood, which is helpful to further optimize the ablation process. By constructing a two-dimensional data grid, the distribution of dust in space can be intuitively displayed, which not only helps to analyze the blocking or reflection of laser energy, but also provides information support for the positioning of abnormal ablation. Further, laser processing is performed on each grid and corresponding data is obtained, which can more accurately analyze the laser processing situation of each area, providing a more targeted solution for solving the abnormal ablation problem. By quantifying the influence of dust on laser energy output through deviation analysis, a quantitative basis can be provided for subsequent energy output adjustment, thereby more effectively solving the abnormal ablation problem. By adjusting the laser energy output of the abnormal ablation deviation value, an abnormal ablation laser energy output adjustment curve can be obtained, and then the laser energy output can be adjusted, and finally the normal progress of the ablation process can be achieved, ensuring the excellent performance of the laser weeding effect. This systematic analysis and adjustment method not only improves the efficiency and stability of laser ablation technology, but also provides a reliable guarantee for achieving good results in plant weed control.

[0191] Preferably, step S45 includes the following steps:

[0192] Step S451: performing laser deviation angle analysis on ablation laser data based on dust grid laser data to obtain laser deviation angle data;

[0193] Step S452: performing deviation light extraction processing on the dust grid laser data based on the laser deviation angle data to obtain deviation light data within the dust grid;

[0194] Step S453: performing energy loss analysis on the deviation light data in the dust net based on the ablation laser data to obtain deviation light loss energy data;

[0195] Step S454: constructing a curve for the dust grid laser data based on the laser deviation angle data and the deviation light loss energy data to obtain a dust-affected light deviation curve;

[0196] Step S455: performing ablation deviation value analysis on the ablation laser data based on the dust-affected light deviation curve to obtain an abnormal ablation deviation value.

[0197] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 FIG. 4 is a schematic diagram of a detailed step flow chart of step S45 in FIG. 4 . In this embodiment, step S45 includes the following steps:

[0198] Step S451: performing laser deviation angle analysis on ablation laser data based on dust grid laser data to obtain laser deviation angle data;

[0199] The embodiment of the present invention uses a laser scanner to analyze laser data collected based on the dust grid, and can calculate the deviation angle of the laser by measuring the interaction of the laser on the dust particles, the propagation of the laser in the grid, and the reflection intensity.

[0200] Step S452: performing deviation light extraction processing on the dust grid laser data based on the laser deviation angle data to obtain deviation light data within the dust grid;

[0201] After acquiring the laser deviation angle data, the embodiment of the present invention performs deviation light extraction processing on the dust grid laser data, thereby obtaining the deviation light data in the dust grid.

[0202] Step S453: performing energy loss analysis on the deviation light data in the dust net based on the ablation laser data to obtain deviation light loss energy data;

[0203] The embodiment of the present invention compares the original ablation laser data and the dust grid data affected by the deviation light, analyzes the interaction between the laser and the dust particles, analyzes the intensity of reflection and refraction, and calculates the energy lost from the original laser to accurately determine the energy loss caused by the deviation light.

[0204] Step S454: constructing a curve for the dust grid laser data based on the laser deviation angle data and the deviation light loss energy data to obtain a dust-affected light deviation curve;

[0205] The embodiment of the present invention constructs a curve representing the effect of dust on the laser by using laser deviation angle data and deviation light energy loss data, and constructs a curve for dust grid laser data by applying data interpolation technology to obtain a dust effect light deviation curve.

[0206] Step S455: performing ablation deviation value analysis on the ablation laser data based on the dust-affected light deviation curve to obtain an abnormal ablation deviation value.

[0207] The embodiment of the present invention performs ablation deviation value analysis on ablation laser data based on the dust-affected light deviation curve to obtain abnormal ablation deviation values. By analyzing the abnormal ablation deviation values, potential problems can be identified and corresponding measures can be taken to correct them.

[0208] The present invention can obtain the deviation angle data of the laser during the processing process through laser deviation angle analysis, which provides an important basis for subsequent analysis. Such analysis helps to understand the precise irradiation of the laser on the target surface and provides a reliable basis for further optimizing the laser processing parameters. The deviation light extraction process can effectively identify and separate the deviation light caused by dust, which enables a clear analysis of the influence of dust on laser energy transfer and ablation effect. By quantifying the energy loss, it is possible to more accurately evaluate whether the laser energy output has achieved the expected effect, and the laser parameters can be optimized accordingly to ensure the best ablation effect. The dust grid laser data is constructed to obtain the dust-affected light deviation curve, which further helps to analyze the specific influence of dust on laser processing. Such analysis not only provides a reliable basis for the identification of abnormal ablation conditions, but also provides important information support for subsequent diagnosis and processing. The ablation deviation value analysis based on the dust-affected light deviation curve can help determine the specific deviation of the laser during the processing process, which provides a more accurate and reliable basis for the diagnosis of abnormal ablation conditions. In summary, this technology not only improves the accuracy and efficiency of laser ablation processing, but also provides a comprehensive and effective solution for solving abnormal ablation problems.

[0209] Preferably, step S5 comprises the following steps:

[0210] Step S51: when it is determined that the ablation abnormality assessment result is non-abnormal ablation data, an ablation time analysis is performed on the three-dimensional model of the ablation process to obtain blade ablation time data;

[0211] The embodiment of the present invention uses an analysis model to accurately determine the time range of blade ablation and extract time-related information of the blade during the ablation process, including analyzing the start and stop time of ablation, determining the duration, and checking how the ablation process changes over time.

[0212] Step S52: performing two-dimensional plane mapping processing on the three-dimensional model of the ablation process to obtain ablation two-dimensional plane data;

[0213] The embodiment of the present invention uses advanced computer graphics technology to map the three-dimensional model of the ablation process, and carries out two-dimensional plane mapping processing to obtain ablation two-dimensional plane data.

[0214] Step S53: performing ablation area analysis on the non-abnormal ablation data based on the ablation two-dimensional plane data to obtain blade ablation area data;

[0215] The embodiments of the present invention measure and quantify the ablated area on the blade by using image analysis and processing techniques, including threshold setting, region segmentation and complex shape analysis, and determine the ablated area of ​​the blade by carefully measuring the scope of ablation and the affected area.

[0216] Step S54: performing ablation velocity analysis on the blade ablation area data based on the blade ablation time data to obtain blade ablation velocity data;

[0217] The embodiment of the present invention performs ablation speed analysis on blade ablation area data based on blade ablation time data, and calculates the blade ablation speed by performing value calculation processing on the ablation area and the ablation time.

[0218] Step S55: performing simulation numerical analysis on the blade ablation area data and the blade ablation velocity data to obtain ablation simulation numerical values.

[0219] The present invention can accurately quantify the duration of the entire ablation process through a detailed analysis of the ablation time, thereby providing basic data for evaluating the laser weeding processing speed. Such analysis can not only help understand the efficiency of laser weeding, but also provide guidance for the optimization of the workflow. Expanding the three-dimensional model of the ablation process into two-dimensional plane data helps to convert complex three-dimensional information into more intuitive and easy-to-understand two-dimensional data. Such processing provides convenience, making subsequent analysis and interpretation more concise and clear. Through the ablation area analysis, the specific area of ​​the leaf ablation can be quantified, providing quantitative data support for evaluating the effect and coverage of laser weeding. Combined with the analysis of the leaf ablation speed data, the speed of leaf ablation can be accurately determined, which provides an important reference for optimizing the ablation efficiency. By performing simulated numerical analysis on the leaf ablation area data and the ablation speed data, a more in-depth ablation simulation value can be obtained, thereby predicting the change trend in the leaf ablation process. Such analysis can not only help better understand the dynamic changes in the laser weeding process, but also provide important reference and guidance for subsequent work. These extended effects further enhance the application prospects and value of this technology in the field of laser weeding.

[0220] Preferably, the present invention further provides a laser ablation numerical simulation device for a laser weeder, which is used to execute the laser ablation numerical simulation method for a laser weeder as described above, and the laser ablation numerical simulation device for a laser weeder comprises:

[0221] The weed information acquisition module is used to collect and process leaf information images of ablated weed plants during laser ablation through a built-in camera of the laser weed remover to obtain a set of ablated plant leaf information images; extract leaf information from the ablated plant leaf information image set to obtain ablated plant leaf information data; and perform leaf heat mapping and analysis on ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves;

[0222] The ablation laser information acquisition module is used to monitor the laser fluctuation signal of the laser ablation process through the laser sensor built into the laser weed remover to obtain the real-time fluctuation signal spectrum of the laser ablation; perform laser output energy curve analysis on the real-time fluctuation signal spectrum of the laser ablation to obtain the laser energy output curve;

[0223] The ablation process three-dimensional model and abnormality analysis module is used to construct a three-dimensional model of the ablation process and perform ablation abnormality analysis on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtain the ablation process three-dimensional model and ablation abnormality assessment results, wherein the ablation abnormality assessment results include abnormal ablation data and non-abnormal ablation data;

[0224] The abnormal ablation data analysis module is used to determine that when the ablation abnormality assessment result is abnormal ablation data, the laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain the abnormal ablation laser energy output adjustment curve; based on the ablation plant leaf heat curve, the abnormal ablation laser energy output adjustment curve is iteratively analyzed until the ablation abnormality assessment result is non-abnormal ablation data;

[0225] The non-abnormal ablation data processing module is used to determine that when the ablation abnormality assessment result is non-abnormal ablation data, perform simulated numerical analysis on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain the ablation simulation value.

[0226] In summary, the present invention provides a method and device for numerical simulation of laser ablation for a laser weeder. The laser ablation numerical simulation device for the laser weeder consists of a weed information acquisition module, an ablation laser information acquisition module, a three-dimensional model and abnormality analysis module of the ablation process, an abnormal ablation data analysis module, and a non-abnormal ablation data processing module. It can realize any one of the laser ablation numerical simulation methods for the laser weeder described in the present invention, and is used to combine the operations between computer programs running on each module to realize any one of the laser ablation numerical simulation methods for the laser weeder. The internal structures of the device cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient laser ablation numerical simulation process, thereby simplifying the operation process of the laser ablation numerical simulation for the laser weeder.

[0227] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0228] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A numerical simulation method for laser ablation of a laser weeder, characterized in that: The following steps are involved: Step S1: using a built-in camera of the laser weed remover to collect and process leaf information images of ablated weed plants during laser ablation to obtain a set of ablated plant leaf information images; performing leaf information extraction processing on the ablated plant leaf information image set to obtain ablated plant leaf information data; performing leaf heat mapping and analysis on the ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves; Step S2: monitoring the laser fluctuation signal of the laser ablation process by using the laser sensor built into the laser weed remover to obtain a real-time fluctuation signal spectrum of the laser ablation; analyzing the laser output energy curve of the real-time fluctuation signal spectrum of the laser ablation to obtain a laser energy output curve; Step S3: constructing a three-dimensional model of the ablation process and analyzing ablation anomalies on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtaining a three-dimensional model of the ablation process and ablation anomaly assessment results, wherein the ablation anomaly assessment results include abnormal ablation data and non-abnormal ablation data; Step S4: when it is determined that the ablation abnormality assessment result is abnormal ablation data, laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain an abnormal ablation laser energy output adjustment curve; and iterative abnormality analysis is performed on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve until the ablation abnormality assessment result is non-abnormal ablation data; Step S5: When it is determined that the ablation abnormality assessment result is non-abnormal ablation data, a simulation numerical analysis is performed on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain an ablation simulation numerical value.

2. The method for numerical simulation of laser ablation of a laser weed remover according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: using a built-in camera of the laser weed remover to collect and process leaf information images of the ablated weed plants during the laser ablation process, so as to obtain a plant leaf information image set; Step S12: extracting leaf information from the ablated plant leaf information image set to obtain ablated plant leaf information data; Step S13: performing infrared image analysis on the ablated plant leaf information data to obtain infrared image data of the ablated plant leaf; Step S14: drawing a temperature distribution map of the ablated weed plant according to the infrared image data of the ablated plant leaf to obtain a temperature distribution map of the ablated plant leaf; Step S15: performing leaf heat mapping analysis on the temperature distribution diagram of the ablated plant leaves based on the ablated plant leaf information data to generate a heat curve of the ablated plant leaves.

3. The method for numerical simulation of laser ablation of a laser weed remover according to claim 2, characterized in that: Step S15 includes the following steps: Step S151: performing leaf component ratio analysis on the ablated plant leaf information data to obtain leaf tissue and water content ratio data; Step S152: performing leaf specific heat capacity measurement processing on the leaf tissue and water content ratio data to obtain the specific heat capacity of the ablated plant leaf; Step S153: performing leaf heat flow analysis on the ablated plant leaf temperature distribution diagram based on the ablated plant leaf information data to obtain ablated plant leaf heat flow data; Step S154: performing internal and external factor analysis on the heat flow data of the ablated plant leaves based on the ablated plant leaf information data to obtain heat conduction data inside the leaves and heat dissipation data on the leaf surface; Step S155: performing heat accumulation analysis on the specific heat capacity of the ablated plant leaves based on the heat conduction data inside the leaves and the heat dissipation data on the leaf surface to obtain leaf heat accumulation data; Step S156: performing curve drawing analysis on the ablated plant leaf information data according to the leaf heat accumulation data to generate a ablated plant leaf heat curve.

4. The method for numerical simulation of laser ablation of a laser weed remover according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: monitoring the laser fluctuation signal of the laser ablation process of the laser weeder through the laser sensor built into the laser weeder to obtain a real-time fluctuation signal spectrum of the laser ablation; Step S22: performing laser wavelength analysis on the laser ablation real-time fluctuation signal spectrum to obtain the ablation laser wavelength; Step S23: Identify the ablation laser wavelength and obtain the laser energy density to obtain the ablation laser energy density; Step S24: performing spectrum peak analysis on the laser ablation real-time fluctuation signal spectrum to obtain the ablation laser peak rate; Step S25: performing laser repetition frequency analysis on the laser peak rate to obtain the ablation laser repetition frequency; Step S26: Perform output energy analysis and curve drawing processing according to the ablation laser energy density and the ablation laser repetition frequency to obtain a laser energy output curve.

5. The method for numerical simulation of laser ablation of a laser weed remover according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing three-dimensional spatial view modeling on the ablated plant leaf information data to obtain a three-dimensional plant model; Step S32: performing ablation threshold analysis on the ablated plant leaf information data based on the ablated plant leaf heat curve to obtain a leaf ablation threshold; Step S33: performing laser output energy analysis on the laser energy output curve based on the blade ablation threshold to obtain ablation threshold laser output energy data; Step S34: performing ablation simulation processing on the plant three-dimensional model based on the ablation threshold laser output energy data to obtain a three-dimensional model of the ablation process; Step S35: Based on the blade ablation threshold and the ablation threshold laser output energy data, an abnormality analysis is performed on the ablation process three-dimensional model to obtain an ablation abnormality assessment result, wherein the ablation abnormality assessment result includes abnormal ablation data and non-abnormal ablation data.

6. The method for numerical simulation of laser ablation of a laser weed remover according to claim 5, characterized in that: Step S35 includes the following steps: Step S351: performing time analysis on the blade ablation threshold based on the three-dimensional model of the ablation process to obtain blade ablation time data; Step S352: performing blade receiving energy analysis on the three-dimensional model of the ablation process based on the blade generating ablation time data to obtain blade ablation threshold receiving energy data; Step S353: constructing a curve for blade ablation threshold receiving energy data and ablation threshold laser output energy data to obtain a blade threshold energy curve; Step S354: analyzing the energy reception abnormal interval of the blade threshold energy curve to obtain the ablation blade receiving energy abnormal interval; Step S355: Based on the abnormal interval of the ablation blade receiving energy and the blade threshold energy curve, the abnormal data analysis and evaluation of the ablation process three-dimensional model is performed to obtain the ablation abnormality evaluation result, wherein the ablation abnormality evaluation result includes abnormal ablation data and non-abnormal ablation data.

7. The method for numerical simulation of laser ablation of a laser weed remover according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: when it is determined that the ablation abnormality assessment result is abnormal ablation data, the laser path space dust data acquisition process is performed on the laser ablation process to obtain dust condition data; Step S42: Analyze the dust condition data in terms of concentration and particle size characteristics to obtain dust concentration data and dust particle size data; Step S43: constructing a two-dimensional data grid for the dust condition data based on the dust concentration data and the dust particle size data to obtain a dust two-dimensional data grid; Step S44: performing laser processing on each grid of the dust two-dimensional data grid to obtain dust grid laser data; Step S45: performing deviation analysis on the ablation laser data based on the dust grid laser data to obtain an abnormal ablation deviation value; Step S46: performing laser energy output adjustment processing on the abnormal ablation deviation value based on the laser energy output curve to obtain an abnormal ablation laser energy output adjustment curve; Step S47: performing iterative abnormal analysis on the abnormal ablation laser energy output adjustment curve based on the ablation plant leaf heat curve, until the ablation abnormality assessment result is non-abnormal ablation data.

8. The method for numerical simulation of laser ablation of a laser weed remover according to claim 7, characterized in that: Step S45 includes the following steps: Step S451: performing laser deviation angle analysis on ablation laser data based on dust grid laser data to obtain laser deviation angle data; Step S452: performing deviation light extraction processing on the dust grid laser data based on the laser deviation angle data to obtain deviation light data within the dust grid; Step S453: performing energy loss analysis on the deviation light data in the dust net based on the ablation laser data to obtain deviation light loss energy data; Step S454: constructing a curve for the dust grid laser data based on the laser deviation angle data and the deviation light loss energy data to obtain a dust-affected light deviation curve; Step S455: performing ablation deviation value analysis on the ablation laser data based on the dust-affected light deviation curve to obtain an abnormal ablation deviation value.

9. The method for numerical simulation of laser ablation of a laser weed remover according to claim 1, characterized in that: Step S5 includes the following steps: Step S51: when it is determined that the ablation abnormality assessment result is non-abnormal ablation data, an ablation time analysis is performed on the three-dimensional model of the ablation process to obtain blade ablation time data; Step S52: performing two-dimensional plane mapping processing on the three-dimensional model of the ablation process to obtain ablation two-dimensional plane data; Step S53: performing ablation area analysis on the non-abnormal ablation data based on the ablation two-dimensional plane data to obtain blade ablation area data; Step S54: performing ablation velocity analysis on the blade ablation area data based on the blade ablation time data to obtain blade ablation velocity data; Step S55: performing simulation numerical analysis on the blade ablation area data and the blade ablation velocity data to obtain ablation simulation numerical values.

10. A numerical simulation device for laser ablation of a laser weed remover, characterized in that: For executing the laser ablation numerical simulation method of the laser weeder according to claim 1, the laser ablation numerical simulation device of the laser weeder comprises: The weed information acquisition module is used to collect and process leaf information images of ablated weed plants during laser ablation through a built-in camera of the laser weed remover to obtain a set of ablated plant leaf information images; extract leaf information from the ablated plant leaf information image set to obtain ablated plant leaf information data; and perform leaf heat mapping and analysis on ablated weed plants based on the ablated plant leaf information data to generate a heat curve of ablated plant leaves; The ablation laser information acquisition module is used to monitor the laser fluctuation signal of the laser ablation process through the laser sensor built into the laser weed remover to obtain the real-time fluctuation signal spectrum of the laser ablation; perform laser output energy curve analysis on the real-time fluctuation signal spectrum of the laser ablation to obtain the laser energy output curve; The ablation process three-dimensional model and abnormality analysis module is used to construct a three-dimensional model of the ablation process and perform ablation abnormality analysis on the ablation plant leaf information data based on the ablation plant leaf heat curve and the laser energy output curve, and obtain the ablation process three-dimensional model and ablation abnormality assessment results, wherein the ablation abnormality assessment results include abnormal ablation data and non-abnormal ablation data; The abnormal ablation data analysis module is used to determine that when the ablation abnormality assessment result is abnormal ablation data, the laser energy output adjustment processing is performed on the laser energy output curve based on the laser ablation process to obtain the abnormal ablation laser energy output adjustment curve; based on the ablation plant leaf heat curve, the abnormal ablation laser energy output adjustment curve is iteratively analyzed until the ablation abnormality assessment result is non-abnormal ablation data; The non-abnormal ablation data processing module is used to perform simulated numerical analysis on the non-abnormal ablation data based on the three-dimensional model of the ablation process to obtain the ablation simulation value when the ablation abnormality assessment result is determined to be non-abnormal ablation data.

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