Management method, system and equipment for slope green plant information

Abstract

The present invention provides a method, system and device for managing slope green plant information, including: obtaining characteristic information of slope green plants and environmental information of the slope green plants; packaging the characteristic information and environmental information into slope green plant information and storing them in a management system of a management terminal; predicting the maintenance time of the slope green plants according to the characteristic information and environmental information; obtaining multiple green plant observation times based on the maintenance time; generating a data matrix based on the characteristic information, and generating a management code based on the data matrix and maintenance time; wherein the management code is used for management authority verification of the management system; determining whether the administrator has management authority when each green plant observation time is reached; and if so, updating the slope green plant information in the management system. In the present invention, the defects of easy data tampering and unreasonable updating are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method, system and equipment for managing slope green plant information. Background Art

[0002] Green plants on slopes can not only enhance the stability of slopes, prevent soil erosion and geological disasters, but also improve the surrounding ecological environment and enhance the diversity and sustainability of the ecosystem.

[0003] However, the existing slope greening management system has many deficiencies in information storage and management.

[0004] On the one hand, most management systems simply store the collected information in a pile-up manner, lacking an effective data sorting and classification mechanism, which leads to low efficiency and data confusion when querying and analyzing specific green plant information. For example, when you need to find detailed information on a specific area or a specific variety of green plants, it often takes a lot of time and manpower to sift through the complex data.

[0005] On the other hand, the authority management and information update mechanism are also quite weak. For the verification of management authority, a simple username and password combination is usually used, which cannot ensure the security and accuracy of the operation, and it is easy for unauthorized personnel to make mistakes or maliciously tamper with the data. In the information update link, there is often no scientific and reasonable time planning and judgment basis, and most of the time the management personnel decide when to update the information based on their subjective experience, which leads to untimely or excessive updates of information, affecting the scientificity and effectiveness of management decisions. Summary of the invention

[0006] The main purpose of the present invention is to provide a method, system and device for managing slope green plant information, aiming to overcome the defects of easy data tampering and unreasonable information update in the current slope green plant information management system.

[0007] To achieve the above object, the present invention provides a method for managing slope green plant information, comprising the following steps:

[0008] Acquire characteristic information of the slope green plants and environmental information of the slope green plants; package the characteristic information and environmental information into slope green plant information and store it in the management system of the management terminal;

[0009] Predicting the maintenance time of the slope green plants according to the characteristic information and the environmental information; and obtaining a plurality of green plant observation times based on the maintenance time;

[0010] Generate a data matrix based on the characteristic information, and generate a management code based on the data matrix and maintenance time; wherein the management code is used for management authority verification of the management system;

[0011] When each of the green plant observation times is reached, it is determined whether the administrator has management authority; if so, the slope green plant information in the management system is updated.

[0012] Furthermore, the characteristic information includes the type of green plants, planting methods and planting density, the geographical location of the slope, and the planting time of the green plants; the environmental information includes soil texture, pH, slope gradient, lighting conditions and general data of the local climate.

[0013] Furthermore, the maintenance time of the slope green plants is predicted according to the characteristic information and the environmental information; and multiple green plant observation times are obtained based on the maintenance time, including:

[0014] Input the acquired characteristic information and environmental information into the green plant ecological simulation cloud platform, and predict the maintenance time of the slope green plants based on the cloud platform;

[0015] According to the preset time node segmentation rule, multiple time nodes are found within the maintenance time as the green plant observation time.

[0016] Furthermore, when each of the green plant observation times is reached, determining whether the administrator has management authority includes:

[0017] When each green plant observation time is reached, a prompt is sent to the administrator to update the slope green plant information; when the administrator receives the prompt, the administrator obtains the latest slope green plant information;

[0018] When receiving an instruction from an administrator to update the slope green plant information, the administrator is requested to input a management code to verify whether the administrator has management authority.

[0019] Further, generating a data matrix based on the feature information includes:

[0020] Normalizing the feature information and combining them in a preset order to obtain a combined feature; encoding the combined feature to obtain a feature code;

[0021] Analyzing the characteristics of the feature code, and determining the target type of the matrix based on the characteristics; the target type of the matrix is ​​a sparse matrix or a diagonal matrix; the characteristics of the feature code include the number, type, and arrangement rule of characters in the feature code;

[0022] The characters in the feature code are added to the designated positions of the blank matrix according to the matrix generation rule of the target type to generate a matrix corresponding to the target type as the data matrix.

[0023] Furthermore, generating a management code based on the data matrix and the maintenance time includes:

[0024] Adding all the numeric characters in the maintenance time to the matrix to generate a time character matrix;

[0025] Based on the data matrix and the time character matrix, generating a deformation matrix;

[0026] Based on the deformation matrix, the management code is generated.

[0027] Further, generating a deformation matrix based on the data matrix and the time character matrix;

[0028] According to a preset superposition method, the time character matrix and the data matrix are superimposed to obtain each overlapping position of the data matrix and the time character matrix;

[0029] The characters at the overlapping positions are combined accordingly to obtain an overlapping character combination at each overlapping position;

[0030] The overlapping character combinations at each overlapping position are constructed into the deformation matrix; wherein one matrix position of the deformation matrix includes one overlapping character combination.

[0031] Further, generating a deformation matrix based on the data matrix and the time character matrix;

[0032] Eliminate the target characters in the data matrix to obtain an elimination matrix; the target characters are all characters other than numeric characters;

[0033] Removing blank positions in the elimination matrix and reorganizing it so that the number of its columns is the same as the number of rows of the time character matrix, thereby obtaining a reorganized matrix;

[0034] The reorganization matrix is ​​multiplied by the time character matrix to obtain the deformation matrix.

[0035] Further, based on the deformation matrix, generating the management code includes:

[0036] Calculating the variance and standard deviation of the numbers at each matrix position of the deformation matrix;

[0037] generating a simulated graph based on the variance and the standard deviation;

[0038] According to a preset superposition rule, the simulation graphic is superimposed on the deformation matrix, and the characters that the simulation graphic passes through in the deformation matrix are combined in sequence to obtain the management code.

[0039] The present invention also provides a management system for slope green plant information, comprising:

[0040] The storage module is used to obtain characteristic information of the slope green plants and the environmental information of the slope green plants; the characteristic information and environmental information are packaged as slope green plant information and stored in the management system of the management terminal;

[0041] A prediction module, used to predict the maintenance time of the slope green plants according to the characteristic information and the environmental information; and obtain multiple green plant observation times based on the maintenance time;

[0042] A generating module, used to generate a data matrix based on the characteristic information, and to generate a management code based on the data matrix and the maintenance time; wherein the management code is used for the management authority verification of the management system;

[0043] The updating module is used to determine whether the administrator has the management authority when each green plant observation time is reached; if so, update the slope green plant information in the management system.

[0044] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0045] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned methods are implemented.

[0046] The management method, system and device of slope green plant information provided by the present invention include: obtaining characteristic information of slope green plants and environmental information of the slope green plants; packaging the characteristic information and environmental information into slope green plant information and storing them in the management system of the management terminal; predicting the maintenance time of the slope green plants according to the characteristic information and the environmental information; obtaining multiple green plant observation times based on the maintenance time; generating a data matrix based on the characteristic information, and generating a management code based on the data matrix and the maintenance time; wherein the management code is used for the management authority verification of the management system; when each of the green plant observation times is reached, determining whether the administrator has the management authority; if so, updating the slope green plant information in the management system. In the present invention, it is necessary to generate a data matrix based on the characteristic information, generate a management code based on the data matrix and the maintenance time, and verify the management authority through the management code to avoid easy tampering of data; at the same time, predict multiple green plant observation times, and update the slope green plant information when multiple green plant observation times are reached to avoid the defect of unreasonable information update. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of a method for managing slope green plant information in one embodiment of the present invention;

[0048] Figure 2 This is a schematic diagram of the steps of a method for managing slope green plant information in one embodiment of the present invention;

[0049] Figure 3 is a flow chart of a method for managing slope green plant information in another embodiment of the present invention;

[0050] Figure 4 This is a structural block diagram of a management system for slope green plant information in one embodiment of the present invention;

[0051] Figure 5 It is a schematic block diagram of the structure of a computer device according to an embodiment of the present invention.

[0052] The implementation, functional features and advantages of the present invention will be further described in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] Reference Figure 1 as well as Figure 2 In one embodiment of the present invention, a method for managing slope green plant information is provided, comprising the following steps:

[0055] Step S1, obtaining characteristic information of slope green plants and environmental information of the slope green plants; packaging the characteristic information and environmental information into slope green plant information and storing it in a management system of a management terminal;

[0056] Step S2, predicting the maintenance time of the slope green plants according to the characteristic information and the environmental information; and obtaining a plurality of green plant observation times based on the maintenance time;

[0057] Step S3, generating a data matrix based on the characteristic information, and generating a management code based on the data matrix and the maintenance time; wherein the management code is used for management authority verification of the management system;

[0058] Step S4, when each green plant observation time is reached, determine whether the administrator has management authority; if so, update the slope green plant information in the management system.

[0059] In this embodiment, as described in step S1 above, the characteristic information of the slope green plants includes but is not limited to the type of green plants, the geographical location of the slope, and the planting time of the green plants. These characteristic information directly reflects the growth location and planting conditions of the green plants.

[0060] The environmental information of the slope green plants includes soil properties such as soil texture, fertility, humidity, pH, and meteorological conditions such as light intensity, temperature, and air humidity. Environmental information plays a key supporting role in the growth of green plants. For example, suitable soil moisture and fertility are the basis for the healthy growth of green plants, while suitable light and temperature conditions can promote physiological processes such as photosynthesis.

[0061] In this embodiment, the feature information and environmental information are integrated and packaged to form a unified data unit, which is convenient for subsequent centralized management and processing and stored in the management system of the management terminal. The above management system is a database system that uses advanced data storage technologies, such as distributed storage or cloud storage, to ensure data security and reliability. At the same time, information is classified and stored according to attributes such as type and time, which facilitates rapid retrieval and query. For example, when it is necessary to view the information of slope green plants in a certain area within a specific time period, relevant data can be quickly extracted from the management system.

[0062] As described in step S2 above, the maintenance time is predicted by comprehensively utilizing the characteristic information and the environmental information. According to the type of green plants and the growth rate of the green plants in different environments, the time when the green plants grow to a preset state can be predicted, and the time is used as the predicted maintenance time. Alternatively, the time when the green plants need watering and fertilizing can be predicted. For example, if the leaves of the green plants turn yellow or wither (characteristic information expression), and the soil moisture is low (environmental information expression), then it indicates that the green plants need watering and other maintenance measures. By analyzing a large number of similar cases of the combination of characteristic information and environmental information, a prediction model is established. Machine learning algorithms can be used to allow the system to automatically learn the association between different information combinations and maintenance time, so as to accurately predict the appropriate maintenance time based on the currently acquired information.

[0063] Furthermore, multiple observation times for green plants are determined based on the maintenance time. The observation time is a key node before the maintenance time, which is used to periodically evaluate the state changes of green plants and the dynamic situation of the environment, so as to adjust the maintenance plan in time or take preventive measures in advance. For example, if the maintenance time is predicted to be one week later, multiple observation time points can be set within this week, such as observing every other day, so as to grasp the changing trend of green plants more finely.

[0064] As described in step S3 above, a data matrix is ​​generated based on the feature information. The data matrix is ​​a mathematical and structured representation of the feature information. For example, if there are multiple feature information, such as the height of green plants, the number of leaves, the diameter of branches, etc., these feature values ​​can be arranged in a matrix form in a preset order, with each row representing the feature data of a green plant and each column representing a specific feature dimension. Such a data matrix is ​​convenient for subsequent mathematical operations and analysis.

[0065] Furthermore, the management code is generated by the data matrix and the maintenance time. The management code is a key identifier used to verify the management system's authority. It combines the key information of the green plants and the maintenance time information, and is unique and identifiable. For example, a preset encryption algorithm or encoding rule is used to combine and convert the key feature values ​​and maintenance time in the data matrix to generate a complex string or digital code as the management code. In this way, in the management system, only administrators with the correct management code can perform corresponding operations, ensuring the security and accuracy of management.

[0066] As described in step S4 above, when each green plant observation time is reached, the administrator authority verification is first performed. This is to prevent unauthorized personnel from erroneously updating or operating the green plant information, and to ensure the security of the management system and the integrity of the data. The identity and operating authority of the administrator are confirmed by verifying the management code, and only administrators with corresponding authority can update the slope green plant information. For example, when the administrator needs to update the latest status information of the green plants at the observation time point, the system will require the entry of the management code. Only after the management code verification is passed can the information be entered and modified.

[0067] If the administrator has management authority, the slope green plant information in the management system can be updated based on the latest situation of the green plants actually observed. The updated content includes changes in the characteristic information of the green plants (such as height growth, leaf color changes, etc.), and the latest monitoring data of environmental information (such as changes in soil moisture, fluctuations in light intensity, etc.). Information updates are updated in real time online to ensure that the data in the management system is always up to date, providing an accurate basis for subsequent analysis and decision-making. For example, if the administrator finds signs of pests and diseases in a green plant at the observation time, the administrator can update this information to the management system in a timely manner, and attach relevant photos or detailed descriptions, so that subsequent professionals can conduct further diagnosis and treatment.

[0068] In summary, the above-mentioned slope green plant information management method realizes the comprehensive acquisition, accurate prediction, safe management and timely update of slope green plant information, and provides strong technical support for the efficient management and sustainable development of slope green plants. It is necessary to generate a data matrix based on feature information, generate a management code based on the data matrix and maintenance time, and verify the management authority through the management code to avoid easy data tampering; at the same time, predict multiple green plant observation times, and update the slope green plant information when multiple green plant observation times arrive to avoid the defect of unreasonable information update.

[0069] In one embodiment, the characteristic information includes the type of green plants, planting method and planting density, the geographical location of the slope, and the planting time of the green plants; the environmental information includes soil texture, pH, slope gradient, lighting conditions and general data of the local climate.

[0070] In one embodiment, the maintenance time of the slope green plants is predicted according to the feature information and the environmental information; and multiple green plant observation times are obtained based on the maintenance time, including:

[0071] Input the acquired characteristic information and environmental information into the green plant ecological simulation cloud platform, and predict the maintenance time of the slope green plants based on the cloud platform;

[0072] According to the preset time node segmentation rule, multiple time nodes are found within the maintenance time as the green plant observation time.

[0073] In this embodiment, the green plant ecological simulation cloud platform is able to receive and integrate characteristic information and environmental information from actual slope green plants. This information includes but is not limited to the type, growth stage, morphological characteristics (such as height, branch and leaf density, etc.) of green plants, as well as various detailed data such as soil texture, moisture content, temperature, and light intensity of the slope. The cloud platform uses the above-mentioned rich data to build a highly simulated virtual green plant ecological environment. For example, for different types of green plants, the platform accurately simulates the growth status and development trend of the green plant in the current slope environment based on its biological characteristics and growth laws, combined with the actual collected environmental information.

[0074] The cloud platform is equipped with prediction algorithms and models. These models have been trained with a large amount of experimental data and actual cases, and can accurately analyze the complex relationship between feature information and environmental information, and predict the maintenance time of green plants accordingly. For example, by establishing a multivariate regression model, the growth rate of green plants (which can be inferred from the changes in growth indicators in the feature information) is correlated with environmental factors (such as soil fertility, water, light, etc.). When the model detects an abnormal trend in the growth indicators of green plants, combined with the dynamic changes of environmental factors, such as soil moisture continues to drop to a certain threshold or the light intensity is too high for a long time, affecting the photosynthesis efficiency of green plants, the platform can predict the time when green plants need maintenance based on the calculation and judgment of the model, such as the best time nodes for watering, fertilizing or pruning.

[0075] Furthermore, the preset time node segmentation rules are formulated based on a comprehensive consideration of multiple factors such as the growth characteristics of slope green plants, the type of maintenance operations, and the accuracy requirements for monitoring changes in the status of green plants. For example, for some green plant varieties that grow faster and are sensitive to environmental changes, or for some key maintenance operations (such as the critical period of pest control), more intensive observation time node settings are required. The time node segmentation rules can be divided in proportion to the length of the maintenance time, or specific time nodes can be determined based on the key stages of green plant growth and the periodic changes of environmental factors. For example, if the predicted maintenance time is one week, for fast-growing herbaceous plants that need to pay close attention to their water conditions, each day is divided as a time node to promptly detect possible water shortages and other problems; for some slow-growing woody plants that are undergoing periodic fertilization maintenance, an observation time node can be set every two or three days.

[0076] In this embodiment, the multiple green plant observation times found during the maintenance time provide a systematic monitoring plan framework for managers. At each observation time point, managers can conduct detailed inspections and assessments of the actual status of the slope green plants, including changes in the appearance of the green plants, measurements of growth indicators, and re-monitoring of environmental factors. Through regular observations, potential problems in the growth process of green plants or abnormal changes in environmental factors can be discovered in a timely manner, so that corresponding preventive measures can be taken or maintenance plans can be adjusted before the maintenance time arrives. For example, if slight signs of pests and diseases are found in green plants at a certain observation time point, managers can take corresponding prevention and control measures in advance to avoid further deterioration of the problem when the maintenance time arrives; or if it is found that environmental factors have changed significantly, such as excessive soil moisture due to continuous rainfall, it is necessary to adjust the originally planned watering maintenance measures and change to operations such as strengthening drainage. This can greatly improve the scientificity and effectiveness of slope green plant management and ensure that green plants always maintain a good growth state.

[0077] Combined with reference Figure 3 In one embodiment, when each of the green plant observation times is reached, determining whether the administrator has management authority includes:

[0078] When each green plant observation time is reached, a prompt is sent to the administrator to update the slope green plant information; when the administrator receives the prompt, the administrator obtains the latest slope green plant information;

[0079] When receiving an instruction from an administrator to update the slope green plant information, the administrator is requested to input a management code to verify whether the administrator has management authority.

[0080] In this embodiment, a high-precision time monitoring module is provided, which can accurately identify each preset green plant observation time node. This time monitoring function plays a key triggering role in the entire management process, ensuring that the management work can be carried out on time and in an orderly manner. For example, by synchronizing with a network time server or using an internal high-precision clock chip, the accuracy of the time is guaranteed, and the error is controlled within a very small range, so that the subsequent operation process can be started at the correct time point.

[0081] When the time for observing green plants arrives, the administrator will be immediately prompted to update the slope green plant information. The prompts can be sent in a variety of ways, including but not limited to SMS push, pop-up prompts in the management system, email notifications, etc. The above prompt function ensures that the administrator can know the time nodes when information needs to be updated in time to avoid missing important observation and management opportunities due to negligence. For example, administrators tend to forget to regularly check the status of slope green plants in their busy daily work, and timely prompts can effectively remind them to perform their management duties.

[0082] After receiving the prompt, the administrator will go to the slope greening site for field inspection and information collection. This process requires the administrator to use professional measurement tools and observation skills to fully and accurately obtain the latest status information of the slope greening. Use a high-precision soil moisture detector to measure the moisture content of the soil, use a plant growth meter to measure the height, crown width and other growth indicators of the green plants, and carefully observe the appearance characteristics of the green plants such as leaf color, shape, and whether there are signs of pests and diseases to assess their health status, and use a illuminance meter to measure the light conditions of the slope.

[0083] The administrator will organize and record the collected information to ensure the integrity and accuracy of the information. The administrator will enter the measurement data into a spreadsheet or management system, and provide a detailed text description of the observed changes in the status of the green plants, and can take photos or videos as auxiliary records. For example, for the green plant pest problems found, the administrator must not only record the type and severity of the pests and diseases, but also take clear photos so that subsequent professionals can make accurate diagnosis and analysis.

[0084] When the administrator decides to feedback the instruction to update the slope green plant information, the system will immediately request the administrator to enter the management code. This request can pop up a special input box through the management system interface, or display an input prompt page in the mobile application. For example, in the information update page of the management system, when the administrator clicks the "Submit Update" button, the system will automatically pop up the management code input box and ask the administrator to enter the corresponding verification information.

[0085] The management code is a key credential used to verify the administrator's identity and management authority. The system stores a unique management code pre-assigned to each administrator. When the administrator enters the management code, the system uses encryption algorithms and verification mechanisms to compare and verify the entered management code. If the management code is correct, the system confirms that the administrator has management authority and allows him to update the information; if the management code is wrong, the system will reject the operation and issue an error message, requiring the administrator to re-enter or contact the system administrator for permission confirmation. The above management code verification mechanism effectively prevents unauthorized personnel from making arbitrary changes to the slope green plant information, ensuring the security of the information and the standardization of management. For example, even if someone obtains the administrator's login account and password, if there is no correct management code, the information update operation cannot be performed, which greatly reduces the risk of malicious tampering of the information.

[0086] In one embodiment, generating a data matrix based on the feature information includes:

[0087] Normalizing the feature information and combining them in a preset order to obtain a combined feature; encoding the combined feature to obtain a feature code;

[0088] Analyzing the characteristics of the feature code, and determining the target type of the matrix based on the characteristics; the target type of the matrix is ​​a sparse matrix or a diagonal matrix; the characteristics of the feature code include the number, type, and arrangement rule of characters in the feature code;

[0089] The characters in the feature code are added to the designated positions of the blank matrix according to the matrix generation rule of the target type to generate a matrix corresponding to the target type as the data matrix.

[0090] In this embodiment, normalization is a key step to standardize the numerical range or expression form of the feature information. Different feature information has different dimensions and numerical ranges. For example, the height of green plants is within a few meters, while the characteristic value of leaf color is a discrete value based on a certain coding system. Through normalization, these feature information can be converted into a unified numerical range or expression form for subsequent processing and analysis. Common normalization methods include minimum-maximum normalization, Z-score normalization, etc.

[0091] The preset sequence combination can be determined according to the needs of slope green plant information management and the internal logical relationship of feature information. For example, the overall morphological characteristics of green plants (such as height, crown width, etc.) can be combined first, and then the microscopic characteristics of leaves (such as leaf color, texture, etc.) can be combined in order from macro to micro; or the order and combination can be made according to the importance of the impact on the growth of green plants. The above preset sequence is not limited here.

[0092] By combining the normalized feature information in a preset order, a combined feature with a clear structure is formed. Such a combined feature is convenient for subsequent encoding and matrix generation operations, and is also conducive to quickly locating and understanding the meaning and position of each feature during data analysis and management.

[0093] Encoding combined features is the process of converting them into digital or symbolic forms that can be processed by computers. The purpose of encoding is to more efficiently represent and store feature information when generating a data matrix, and to facilitate subsequent calculations and analysis. The encoding method can be selected according to the type and characteristics of the feature information. For example, for discrete feature information (such as the variety category of green plants), integer encoding or one-hot encoding can be used; for continuous feature information (such as the percentage of soil moisture), floating point encoding or segmented encoding according to a certain interval can be used.

[0094] The characteristic analysis of feature coding mainly includes the study of the number, type and arrangement rules of characters. The number of characters determines the scale and complexity of the data. Different numbers of characters require different sizes of matrix space when generating a matrix. Character types include numbers, letters, symbols, etc. Different types of characters are processed differently and have different meanings in the matrix. The arrangement rules reflect the internal connection and logical order between feature information, which has an important influence on determining the structure of the matrix and the distribution of data.

[0095] By deeply analyzing these characteristics, we can accurately grasp the essential characteristics and laws of feature encoding and provide a basis for determining the target type of the matrix. For example, if the feature encoding contains a large number of zero values ​​or sparsely distributed non-zero values, it is suitable to generate a sparse matrix; if the feature encoding has obvious diagonal distribution characteristics, then a diagonal matrix is ​​a more appropriate choice.

[0096] Furthermore, the target type of the matrix is ​​determined to be a sparse matrix or a diagonal matrix according to the characteristics of the feature coding. If the characteristics of the feature coding indicate that the data is sparse, that is, most of the elements are zero or close to zero, then choosing a sparse matrix can effectively save storage space and computing resources. For example, in the slope green plant information, for some rare feature combinations or features that do not have a significant impact in most cases, the corresponding encoding value is zero or rarely non-zero values. In this case, a sparse matrix is ​​an ideal choice.

[0097] If the characteristics of feature coding show a clear diagonal distribution pattern, that is, the data has important values ​​on the diagonal and the elements in other positions are relatively small or zero, then the diagonal matrix can highlight the characteristics of this diagonal structure and facilitate specific calculations and analysis. For example, in some feature coding related to the growth cycle of green plants, as time goes by, the eigenvalues ​​of different stages are mainly concentrated on the diagonal. At this time, the diagonal matrix can better reflect the change pattern of this time series.

[0098] In some embodiments, the type of matrix may also be determined directly according to the number of characters in the feature code. For example, if the number is greater than a preset value, a sparse matrix is ​​used, and if it is not greater than the preset value, a diagonal matrix is ​​used.

[0099] For the generation of sparse matrices, the non-zero characters in the feature code are added to the specified positions of the blank matrix according to the rules. Special data structures and algorithms are usually used to represent sparse matrices, such as compressed sparse row (CSR) or compressed sparse column (CSC) formats. In these formats, only the positions and values ​​of non-zero elements are recorded, and the storage of zero elements is omitted, which greatly saves storage space. For example, the non-zero code value representing an important feature of a green plant is stored in the corresponding position in the sparse matrix, while most of the other positions remain empty or default values. Of course, the character intervals in the feature code can also be randomly added to the matrix to generate a sparse data matrix.

[0100] For the generation of diagonal matrices, according to the diagonal distribution characteristics of feature codes, characters are added to the blank matrix in diagonal order. The main diagonal elements of the diagonal matrix contain the most important feature information, and the elements in other positions may be zero or have specific auxiliary information according to the actual situation. For example, the feature code values ​​representing the key stages of plant growth are arranged on the diagonal in sequence, and the elements on both sides of the diagonal can be set accordingly according to the association relationship with the main diagonal elements, such as being set to derived values ​​or auxiliary identifiers related to the main diagonal elements.

[0101] Through the above steps, a data matrix that meets the characteristics and needs of slope green plants is generated based on their characteristic information, providing a basic data structure and representation for subsequent information management, analysis and application.

[0102] In one embodiment, generating a management code based on the data matrix and the maintenance time includes:

[0103] Adding all the numeric characters in the maintenance time to the matrix to generate a time character matrix;

[0104] Based on the data matrix and the time character matrix, generating a deformation matrix;

[0105] Based on the deformation matrix, the management code is generated.

[0106] In this embodiment, the maintenance time is usually expressed in the form of a specific date and time, such as "15:30 on April 20, 2023". Extracting all digital characters from the maintenance time is a key step in converting it into a data matrix that can be fused and processed. These digital characters contain key information about the maintenance time, such as year, month, day, hour, minute, etc., and each number has a specific time meaning.

[0107] For example, the number "2023" represents the year, "4" represents the month, "20" represents the date, "15" represents the hour, and "30" represents the minute. By extracting these digital characters, the abstract concept of time can be converted into specific digital elements, which is convenient for subsequent matrix processing and encoding operations.

[0108] The extracted digital characters are added to the original data matrix according to certain rules to generate a time character matrix containing maintenance time information. The adding method can be flexibly designed according to the structure of the data matrix and the characteristics of the maintenance time. For example, if the data matrix is ​​a two-dimensional matrix, you can choose to add digital characters to specific rows or columns of the matrix in sequence, or place different digital characters in corresponding positions of the matrix according to a certain preset position mapping rule. In this way, the time characters and the original characteristic information characters are integrated with each other in the matrix, so that the matrix not only contains the characteristic information of the slope green plants, but also embeds the key data of the maintenance time. This provides a basis for the subsequent generation of management codes with time correlation.

[0109] The process of generating a deformation matrix based on a data matrix and a time character matrix involves a series of data processing and conversion operations. The core of this process is to organically fuse the information in the two matrices to create a new matrix containing richer information. The fusion method can use mathematical operations, logical operations or specific encoding rules. For example, the elements in the corresponding positions of the two matrices can be added, multiplied, bitwise operated, etc., or the characters in the two matrices can be combined and converted according to a preset encoding mapping table to generate new character elements to fill in the deformation matrix.

[0110] Compared with the original data matrix and time character matrix, the deformation matrix has a more complex structure and richer information content. It not only retains the characteristic information of slope green plants, but also incorporates the key data of maintenance time, and may generate new feature representations and data relationships through fusion operations. For example, after specific operation fusion, some elements in the deformation matrix represent the correlation features between green plant features and maintenance time, which are crucial for generating targeted and accurate management codes. The deformation matrix provides an intermediate data structure for the generation of management codes, so that the management codes can comprehensively reflect the status of slope green plants and the requirements of maintenance time.

[0111] Finally, generating management codes is one of the key links of the entire technical solution. Generating management codes based on the deformation matrix requires the use of specific encoding algorithms and rules. These algorithms and rules are designed to convert the information in the deformation matrix into a unique and identifiable management code string or digital sequence. The encoding algorithm can use a hash algorithm, an encryption algorithm, or a custom encoding function. For example, use a hash algorithm (such as MD5, SHA-256, etc.) to perform a hash operation on the data in the deformation matrix, and use the resulting hash value as part of the management code; or use a custom encoding function to generate a management code containing letters, numbers, and special symbols according to preset rules based on the element values ​​and position information in the deformation matrix.

[0112] In this embodiment, the generated management code has the following important characteristics: ensuring that each slope green plant has a unique management code at a specific maintenance time to avoid management confusion and errors. The management code contains the characteristic information and maintenance time information of the slope green plants, so that the relevant information of the green plants and the corresponding maintenance needs can be quickly traced and identified through the management code. In the slope green plant information management system, the management code serves as a key credential to verify the administrator's management authority. Only administrators with the correct management code can operate and update the corresponding green plant information, thereby ensuring the security and standardization of management.

[0113] In one embodiment, a deformation matrix is ​​generated based on the data matrix and the time character matrix;

[0114] According to a preset superposition method, the time character matrix and the data matrix are superimposed to obtain each overlapping position of the data matrix and the time character matrix;

[0115] The characters at the overlapping positions are combined accordingly to obtain an overlapping character combination at each overlapping position;

[0116] The overlapping character combinations at each overlapping position are constructed into the deformation matrix; wherein one matrix position of the deformation matrix includes one overlapping character combination.

[0117] In this embodiment, the data matrix contains characteristic information encoding of the green plants on the slope, and its structure and element distribution reflect the various characteristic attributes of the green plants. The time character matrix is ​​composed of digital characters of the maintenance time, which are arranged in the matrix according to certain rules, representing key information related to the maintenance time of the green plants. The preset superposition method is determined according to the structural characteristics of the data matrix and the time character matrix and the need to generate a deformation matrix later. The superposition method needs to consider how to effectively merge the information of the two matrices while maintaining the recognizability and processability of the information. It can be a bitwise superposition, that is, the characters in corresponding positions in the two matrices are combined according to the rules. For example, the characters in corresponding positions can be string concatenated, numbers can be added, or specific logical operations can be performed.

[0118] For example, using the string concatenation method, if the character at a certain position in the data matrix is ​​"A" and the character at the corresponding position in the time character matrix is ​​"5", then the overlapping character combination at that position after superposition is "A5".

[0119] According to the preset superposition method, the time character matrix and the data matrix are superimposed position by position. This process needs to ensure that the corresponding positions of the two matrices can be accurately matched and combined. For example, if the data matrix is ​​an m×n matrix and the time character matrix is ​​also a matrix of the same size, then the two matrices are completely aligned, and for each matrix position, the characters of the data matrix and the time character matrix at the corresponding matrix position are superimposed.

[0120] In the superposition process, the positions where the characters in the two matrices are actually superimposed are accurately identified, that is, the overlapping positions. These overlapping positions are key nodes for generating the deformation matrix. The coordinate information of each overlapping position can be marked by setting a marker variable or recording a data structure in the superposition algorithm. For example, a two-dimensional array is used to record the index of the overlapping position so that the character combinations at these positions can be processed later.

[0121] The characters of the data matrix and the time character matrix at the overlapping position are combined according to the preset combination rules to generate overlapping character combinations. The combination rules can be designed according to actual needs and data characteristics, aiming to merge the information of the two characters into a new character combination with a specific meaning. For example, a simple string concatenation method can be used to directly connect the two characters together; or according to certain encoding conversion rules, two characters can be encoded and operated to generate a new character.

[0122] For example, if the character in the data matrix is ​​"a" and the character in the time character matrix is ​​"2", according to the string concatenation rules, the overlapping character combination is "a2".

[0123] Finally, the overlapping character combinations generated at each overlapping position are sequentially filled into a new matrix according to their positional relationship in the original matrix to construct a deformation matrix. The structure of the deformation matrix is ​​the matrix size corresponding to the matrix position where the data matrix and the time character matrix overlap, but the elements of each position are overlapping character combinations composed of the characters at the corresponding positions of the two original matrices. For example, if the matrix positions where the data matrix and the time character matrix overlap constitute a 3×3 matrix, after the superposition process, the deformation matrix is ​​also a 3×3 matrix, and each position contains an overlapping character combination generated according to the characters at the corresponding positions of the data matrix and the time character matrix.

[0124] In this embodiment, through the above technical solution, a deformation matrix containing rich information is generated based on the data matrix and the time character matrix, and the complexity, security and uniqueness are enhanced, which facilitates the subsequent generation of a unique management code.

[0125] In one embodiment, a deformation matrix is ​​generated based on the data matrix and the time character matrix;

[0126] Eliminate the target characters in the data matrix to obtain an elimination matrix; the target characters are all characters other than numeric characters;

[0127] Removing blank positions in the elimination matrix and reorganizing it so that the number of its columns is the same as the number of rows of the time character matrix, thereby obtaining a reorganized matrix;

[0128] The reorganization matrix is ​​multiplied by the time character matrix to obtain the deformation matrix.

[0129] In this embodiment, in the data matrix, the target characters are defined as all characters other than numeric characters. These characters include English letters, special symbols, etc., which represent descriptive or classification information in the characteristic information of slope green plants in addition to direct numerical features. However, in the specific process of generating the deformation matrix, these non-numeric characters need to be eliminated to achieve specific data processing and matrix transformation operations. For example, in a data matrix representing slope green plant information, some English character codes such as "a" and "z" are included. These characters will interfere with direct numerical calculations and fusion operations with the time character matrix, so they need to be eliminated.

[0130] Each position in the data matrix is ​​checked one by one, the target character is identified and removed from the matrix. This process can be implemented by writing an algorithm or using existing data processing tools. After removing the target character, a removal matrix is ​​obtained. The removal matrix retains the digital character part in the data matrix, which usually represents numerical feature data that can be directly mathematically operated.

[0131] After removing the target characters, some blank positions will be left in the removal matrix, which are the positions where the target characters were originally located. These blank positions will affect the subsequent multiplication operation with the time character matrix, so they need to be removed. Removing blank positions can make the matrix more compact, retaining only valid digital character information, and facilitate subsequent reorganization operations.

[0132] The goal of reorganization is to make the number of columns of the elimination matrix the same as the number of rows of the time character matrix. This is to meet the conditions for matrix multiplication, because matrix multiplication requires that the number of columns of the first matrix is ​​equal to the number of rows of the second matrix. The reorganization process can be achieved by rearranging and organizing the remaining digital characters in the elimination matrix. For example, the digital characters in the elimination matrix can be filled into a new matrix in order so that the number of columns meets the requirements. At the same time, it is necessary to ensure that the position relationship of the digital characters after reorganization can still reflect their relative position and meaning in the original data matrix.

[0133] Matrix multiplication is a mathematical operation that combines two matrices according to certain rules to obtain a new matrix. In this technical solution, the reorganization matrix is ​​multiplied with the time character matrix in order to merge and transform the digital feature information of the slope green plants with the digital character information of the maintenance time to generate a deformed matrix containing richer information. The specific calculation method of matrix multiplication is to calculate each row in the reorganization matrix and each column in the time character matrix according to the rule of multiplying and summing the corresponding elements. For example, if a row of the reorganization matrix is ​​[1,2,3] and a column of the time character matrix is ​​[2,3,4], then the element value of the corresponding position after their multiplication is [2+ 6 + 12].

[0134] The deformation matrix obtained by matrix multiplication integrates the digital feature information and maintenance time information of the slope green plants. This matrix contains more potential information about the relationship between the status of green plants and maintenance time, which provides a basis for the subsequent generation of management codes and more in-depth data analysis. The structure and element values ​​of the deformation matrix reflect the interaction between the data matrix and the time character matrix and the information fusion results. These features can be used for further management decisions and information processing.

[0135] In one embodiment, generating the management code based on the deformation matrix includes:

[0136] Calculating the variance and standard deviation of the numbers at each matrix position of the deformation matrix;

[0137] generating a simulated graph based on the variance and the standard deviation;

[0138] According to a preset superposition rule, the simulation graphic is superimposed on the deformation matrix, and the characters that the simulation graphic passes through in the deformation matrix are combined in sequence to obtain the management code.

[0139] In this embodiment, the deformation matrix contains key data that has been processed and integrated with the characteristic information of slope green plants and the maintenance time information. For the numbers at each matrix position in the deformation matrix, the variance and standard deviation are calculated respectively. The calculation of variance and standard deviation is to further analyze the discrete degree and distribution characteristics of the numbers in the deformation matrix. Variance and standard deviation are commonly used indicators in statistics to measure the degree of data dispersion, and they can provide important information about data volatility and stability.

[0140] The calculated variance and standard deviation are used to generate a simulated graph. This simulated graph can be a two-dimensional or three-dimensional graphical representation whose shape, size, and characteristics are closely related to the values ​​of the variance and standard deviation.

[0141] For example, the range of the coordinate axis of a graph, the fluctuation range of a curve, or the height and width of a three-dimensional graph can be determined based on the values ​​of variance and standard deviation. By converting statistical indicators into graphic features, the distribution and changing trends of data can be more intuitively displayed.

[0142] The type of simulation graph can be selected according to actual needs and data characteristics. Common graph types include straight lines, line segments, line graphs, bar graphs, scatter graphs, or more complex three-dimensional surface graphs. For example, you can choose to generate a line graph to show the trend of data changes over time and the fluctuations reflected by variance and standard deviation; you can also generate a three-dimensional scatter graph or surface graph to show the distribution and relationship of data in different dimensions.

[0143] The above-mentioned preset superposition rules are the key steps for organically combining the simulation graphics with the deformation matrix. The superposition rules need to consider how to associate and fuse the characteristics of the graphics with the data in the matrix to generate a unique and identifiable management code. For example, the simulation graphics can be mapped to the deformation matrix according to the preset proportion and position, so that the movement path of the graphics in the matrix can correspond to the character position in the matrix. Then, according to the position order of the characters that the graphics pass through in the matrix, the character combination rules are determined.

[0144] When the simulated graphics are superimposed with the deformation matrix according to the preset superposition rules, the characters that the graphics pass through in the deformation matrix are recorded. These characters are combined in the order in which the graphics pass through. The combination method can be a simple string concatenation, or the characters can be converted and combined according to the encoding rules. For example, the characters can be encrypted or mapped to other characters or digital sequences according to a specific algorithm. The final character combination is the management code.

[0145] In this embodiment, through the above steps, a management code containing rich information is generated based on the deformation matrix. The management code integrates the characteristic information of slope green plants, maintenance time information and statistical distribution characteristics of data, providing a unique and effective way for the management of slope green plant information and authority verification.

[0146] Reference Figure 4 In one embodiment of the present invention, a management system for slope green plant information is provided, including:

[0147] The storage module is used to obtain characteristic information of the slope green plants and the environmental information of the slope green plants; the characteristic information and environmental information are packaged as slope green plant information and stored in the management system of the management terminal;

[0148] A prediction module, used to predict the maintenance time of the slope green plants according to the characteristic information and the environmental information; and obtain multiple green plant observation times based on the maintenance time;

[0149] A generating module, used to generate a data matrix based on the characteristic information, and to generate a management code based on the data matrix and the maintenance time; wherein the management code is used for the management authority verification of the management system;

[0150] The updating module is used to determine whether the administrator has the management authority when each green plant observation time is reached; if so, update the slope green plant information in the management system.

[0151] In this embodiment, for the specific implementation of each unit in the above system embodiment, please refer to the above method embodiment, which will not be repeated here.

[0152] Reference Figure 5 In an embodiment of the present invention, a computer device is also provided. The computer device may be a server, and its internal structure may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, a display screen, an input device, a network interface and a database connected through a system bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the above method is implemented.

[0153] Those skilled in the art will understand that Figure 5The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied.

[0154] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. It can be understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0155] In summary, the management method, system and device for slope green plant information provided in the embodiments of the present invention include: obtaining characteristic information of slope green plants and environmental information of the slope green plants; packaging the characteristic information and environmental information into slope green plant information and storing them in the management system of the management terminal; predicting the maintenance time of the slope green plants according to the characteristic information and the environmental information; obtaining multiple green plant observation times based on the maintenance time; generating a data matrix based on the characteristic information, and generating a management code based on the data matrix and the maintenance time; wherein the management code is used for the management authority verification of the management system; when each of the green plant observation times is reached, determining whether the administrator has the management authority; if so, updating the slope green plant information in the management system. In the present invention, it is necessary to generate a data matrix based on the characteristic information, generate a management code based on the data matrix and the maintenance time, and verify the management authority through the management code to avoid easy tampering of data; at the same time, predict multiple green plant observation times, and update the slope green plant information when multiple green plant observation times are reached to avoid the defect of unreasonable information update.

[0156] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided by the present invention and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM.

[0157] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0158] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for managing slope green plant information, characterized in that: The following steps are involved: Acquire characteristic information of the slope green plants and environmental information of the slope green plants; package the characteristic information and environmental information into slope green plant information and store it in the management system of the management terminal; Predicting the maintenance time of the slope green plants according to the characteristic information and the environmental information; Based on the maintenance time, multiple green plant observation times are obtained; Generate a data matrix based on the characteristic information, and generate a management code based on the data matrix and maintenance time; wherein the management code is used for management authority verification of the management system; When the observation time of each green plant is reached, it is determined whether the administrator has the management authority; if so, the slope green plant information in the management system is updated; The step of generating a management code based on the data matrix and the maintenance time includes: Adding all the numeric characters in the maintenance time to the matrix to generate a time character matrix; Based on the data matrix and the time character matrix, generating a deformation matrix; Based on the deformation matrix, generating the management code; The step of generating a deformation matrix based on the data matrix and the time character matrix comprises: According to a preset superposition method, the time character matrix and the data matrix are superimposed to obtain each overlapping position of the data matrix and the time character matrix; The characters at the overlapping positions are combined accordingly to obtain an overlapping character combination at each overlapping position; The overlapping character combinations at each overlapping position are constructed into the deformation matrix; wherein one matrix position of the deformation matrix includes one overlapping character combination.

2. The method for managing slope green plant information according to claim 1, characterized in that: The characteristic information includes the type of green plants, planting method and planting density, the geographical location of the slope, and the planting time of the green plants; the environmental information includes soil texture, pH, slope gradient, lighting conditions and general data of the local climate.

3. The method for managing slope green plant information according to claim 1, characterized in that: Predicting the maintenance time of the slope green plants according to the characteristic information and the environmental information; Based on the maintenance time, multiple green plant observation times are obtained, including: Input the acquired characteristic information and environmental information into the green plant ecological simulation cloud platform, and predict the maintenance time of the slope green plants based on the cloud platform; According to the preset time node segmentation rule, multiple time nodes are found within the maintenance time as the green plant observation time.

4. The method for managing slope green plant information according to claim 1, characterized in that: When each green plant observation time is reached, judging whether the administrator has management authority includes: When each green plant observation time is reached, a prompt is sent to the administrator to update the slope green plant information; when the administrator receives the prompt, the administrator obtains the latest slope green plant information; When receiving an instruction from an administrator to update the slope green plant information, the administrator is requested to input a management code to verify whether the administrator has management authority.

5. The method for managing slope green plant information according to claim 1, characterized in that: The step of generating a data matrix based on the feature information comprises: Normalizing the feature information and combining them in a preset order to obtain a combined feature; encoding the combined feature to obtain a feature code; Analyzing the characteristics of the feature code, and determining the target type of the matrix based on the characteristics; the target type of the matrix is ​​a sparse matrix or a diagonal matrix; the characteristics of the feature code include the number, type, and arrangement rule of characters in the feature code; The characters in the feature code are added to the designated positions of the blank matrix according to the matrix generation rule of the target type to generate a matrix corresponding to the target type as the data matrix.

6. The method for managing slope green plant information according to claim 1, characterized in that: The step of generating a deformation matrix based on the data matrix and the time character matrix comprises: Eliminate the target characters in the data matrix to obtain an elimination matrix; the target characters are all characters other than numeric characters; Removing blank positions in the elimination matrix and reorganizing it so that the number of its columns is the same as the number of rows of the time character matrix, thereby obtaining a reorganized matrix; The reorganization matrix is ​​multiplied by the time character matrix to obtain the deformation matrix.

7. A management system for slope green plant information, characterized in that: include: The storage module is used to obtain characteristic information of the slope green plants and the environmental information of the slope green plants; the characteristic information and environmental information are packaged as slope green plant information and stored in the management system of the management terminal; A prediction module, used to predict the maintenance time of the slope green plants according to the characteristic information and the environmental information; Based on the maintenance time, multiple green plant observation times are obtained; A generating module, used to generate a data matrix based on the characteristic information, and to generate a management code based on the data matrix and the maintenance time; wherein the management code is used for the management authority verification of the management system; An updating module, used for determining whether the administrator has management authority when each green plant observation time is reached; if so, updating the slope green plant information in the management system; The step of generating a management code based on the data matrix and the maintenance time includes: Adding all the numeric characters in the maintenance time to the matrix to generate a time character matrix; Based on the data matrix and the time character matrix, generating a deformation matrix; Based on the deformation matrix, generating the management code; The step of generating a deformation matrix based on the data matrix and the time character matrix comprises: According to a preset superposition method, the time character matrix and the data matrix are superimposed to obtain each overlapping position of the data matrix and the time character matrix; The characters at the overlapping positions are combined accordingly to obtain an overlapping character combination at each overlapping position; The overlapping character combinations at each overlapping position are constructed into the deformation matrix; wherein one matrix position of the deformation matrix includes one overlapping character combination.

8. A computer device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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