A method and system for intelligent management of a garden landscape project

Abstract

The present invention relates to the field of intelligent management technology, and specifically to an intelligent management method and system for landscape engineering, including the following steps: Based on the garden area division map, retrieve meteorological monitoring values item by item and compare the collection time, compare the associated dates of soil humidity values and vegetation health parameters, and integrate the hedge trimming status information and the ecological water body inspection record verification data. By retrieving meteorological monitoring values through the area division map and comparing them with the collection time, associating soil humidity and vegetation health parameter information, and integrating hedge trimming status and ecological water body inspection data, the present invention realizes regional coordinate registration, improves the distribution accuracy of basic elements, and promotes the improvement of the refinement degree of landscape management; According to the distribution information of basic elements, classify and count the workload of personnel and refine skill tags, allocate time periods, optimize inspection routes and difficulty levels, and reasonably verify the priority arrangement of security patrols, so as to promote the precise scheduling and efficient utilization of maintenance personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management, and particularly to an intelligent management method and system for landscape engineering. Background Art

[0002] The technical field of intelligent management refers to the intelligent transformation and upgrading of traditional management models by comprehensively applying modern information technology means such as the Internet of Things (IoT), cloud computing, big data, artificial intelligence (AI), blockchain, and 5G to build a digital, automated, and intelligent management system.

[0003] In the actual operation process of the prior art, traditional information technology means are usually simply docked with intelligent technologies, lacking in-depth integration and interaction of real-time collection and comprehensive analysis of garden management information. When dealing with specific operation tasks, the prior art fails to effectively associate the internal logical relationships between different data items, resulting in the fragmentation of meteorological monitoring, soil humidity, vegetation health, and maintenance management information, obvious data island phenomena, and difficulty in effectively supporting the needs of refined management. In addition, the maintenance personnel scheduling often adopts a static allocation mode, without fully considering the real-time matching between dynamic events, skill differences, and task priorities, which is prone to resource misallocation or duplicate operation phenomena. Taking the actual situation as an example, when a sudden pest and disease event occurs in a garden area, the prior art is difficult to quickly link the meteorological change records with the personnel task list, resulting in a slow response to prevention and control measures, the spread of plant pests and diseases intensifying, and thus affecting the overall landscape quality and ornamental effect. Therefore, improvements are needed. Summary of the Invention

[0004] The purpose of the present invention is to solve the deficiencies existing in the prior art and propose an intelligent management method and system for landscape engineering.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions. An intelligent management method for landscape engineering includes the following steps:

[0006] Based on the garden area division map, retrieve meteorological monitoring values item by item and compare the collection times, compare the associated dates of soil humidity values and vegetation health parameters, integrate the hedge trimming status information and ecological water body inspection record verification data, perform regional coordinate registration, and generate basic element distribution information;

[0007] Based on the basic element distribution information, compare the personnel workload records and classify and count them, mark skill tags according to the maintenance personnel scheduling requirement list, perform time period allocation operations and retrieve the cleaning routes, screen the route difficulty levels, verify the security patrol priority arrangements, and generate allocation matching results;

[0008] Based on the above allocation matching results, monitor the sources of emergencies item by item, compare the event levels, change the schedule according to the meteorological change records, correct the inspection duration of plant diseases and pests, compare with the existing task list, perform personnel role switching and verify the priorities of the viewing routes, and generate dynamic dispatching instructions;

[0009] Based on the dynamic dispatching instructions, screen the inspection route nodes according to the coordinates of the garden areas, check the soil nutrient monitoring values and compare them with the upper and lower nutrient thresholds, correct the inspection time sequence of the ecological water bodies and revise the observation frequencies, and slightly adjust the scheduling time periods of the maintenance personnel, and generate real-time allocation information.

[0010] Preferably, it further includes: based on the real-time allocation information, extract the soil degradation degree values and compare with the previous statistical records, review the summary of vegetation growth indicators and compare the growth stages of different communities, check the key points for verifying the hedge trimming cycle and record the error distances, record the time-consuming of the screening paths of the cleaning routes, and generate the ecological footprint load values;

[0011] Based on the ecological footprint load values, review the distribution data of each area of the landscape structure and compare the soil characteristic differences, revise the boundaries of the vegetation areas and match the verification results of the ecological water body inspection boundaries, check the position coordinates of the buffer ecological islands and adjust the connecting channels, update the priorities of the security patrols, and generate an adaptive layout plan.

[0012] Preferably, the steps for obtaining the basic element distribution information include:

[0013] Based on the garden area division map, retrieve the meteorological monitoring values item by item, compare the collection times according to the recording times of each measuring station, cross-induce the differences between the daily average and monthly average values and detect the extreme value fluctuations, and generate a temporary monitoring comparison result;

[0014] Based on the temporary monitoring comparison result, compare with the soil humidity values, correlate with the recording dates of the vegetation health parameters, integrate the hedge trimming status information and the verification data of the ecological water body inspection records, merge the observation timestamps and compare the observation positions, and generate coordinate correlation data;

[0015] Based on the coordinate correlation data, verify the origin of the coordinate system and the sequence of garden boundary points, match and adjust and compare the misaligned values, perform regional coordinate registration, and generate the basic element distribution information.

[0016] Preferably, the steps for obtaining the allocation matching result include:

[0017] Based on the basic element distribution information, compare the personnel workload records and extract the man-hours, mark the task quantities of each operation group and summarize the results, classify and statistically analyze the labor distribution characteristics, and generate the personnel workload statistical information;

[0018] Based on the above-mentioned personnel workload statistical information, mark skill tags by referring to the maintenance personnel scheduling requirement list, retrieve each position attribute and associate available time periods, perform time period allocation operations, and generate personnel time period allocation information;

[0019] Based on the personnel time period allocation information, retrieve the path data of the cleaning route and evaluate the terrain and passage level, screen the route difficulty level and verify the priority arrangement of security patrols, and generate an allocation matching result.

[0020] Preferably, the steps for obtaining the dynamic scheduling instruction include:

[0021] Based on the allocation matching result, monitor the sources of emergencies item by item, collect the event types and compare the event levels, and check for conflicts with the previous personnel scheduling information records to generate emergency level comparison information;

[0022] Based on the emergency level comparison information, change the time period arrangement by referring to the meteorological change records, correct the inspection duration of plant diseases and pests and compare with the existing task list, screen the affected range and the priority processing order, and generate the corrected time period arrangement data;

[0023] Based on the corrected time period arrangement data, perform personnel role switching and allocate to the designated area, check the time period marks of the viewing route and determine priority conflicts, and generate a dynamic scheduling instruction.

[0024] Preferably, the steps for obtaining the real-time allocation information include:

[0025] Based on the dynamic scheduling instruction, screen the inspection route nodes by referring to the garden area coordinates, check each node type and mark the passage order, and generate inspection route node information;

[0026] Based on the inspection route node information, check the soil nutrient monitoring values and compare with the upper and lower nutrient thresholds, correct the inspection time sequence of the ecological water body and revise the observation frequency, and generate the revised monitoring time sequence;

[0027] Based on the revised monitoring time sequence, perform fine-tuning of the maintenance personnel scheduling time period, divide the time period blocks and reset the handover nodes, and generate real-time allocation information.

[0028] Preferably, the steps for obtaining the ecological footprint load value include:

[0029] Based on the real-time allocation information, extract the soil degradation degree value and compare with the previous statistical records, verify the soil loss differences in different regions and mark the levels, and generate a soil degradation comparison result;

[0030] Based on the soil degradation control results, review the summary of vegetation growth indicators, compare the growth stages of different communities, record the differences at each stage, locate the abnormal areas, and generate vegetation growth comparison information;

[0031] Based on the vegetation growth comparison information, check the key points for verifying the hedge trimming cycle and record the error distance, execute the time-consuming record for screening the cleaning route, and generate the ecological footprint load value.

[0032] Preferably, the steps for obtaining the adaptive layout scheme include:

[0033] Based on the ecological footprint load value, review the distribution data of each area of the landscape structure, compare the soil characteristic differences, list the edge areas, extract the plough layer conditions, and generate the landscape structure comparison information;

[0034] Based on the landscape structure comparison information, revise the boundaries of the vegetation areas, match the verification results of the ecological water body inspection boundaries, record the displacement of each overlapping boundary, and generate the vegetation and water body calibration information;

[0035] Based on the vegetation and water body calibration information, check the position coordinates of the buffer ecological islands, adjust the connecting channels, execute the update of the security patrol priority order, and generate the adaptive layout scheme.

[0036] The present invention provides a smart management system, including:

[0037] A basic element distribution module, based on the garden area division map, retrieves the meteorological monitoring values item by item and compares the collection times, refers to the date associated with the soil humidity value and the vegetation health parameters, integrates the hedge trimming status information and the ecological water body inspection records, performs regional coordinate registration, and generates the basic element distribution information;

[0038] A workload statistics module, based on the basic element distribution information, compares the personnel workload records and conducts classified statistics, marks the skill tags, checks against the maintenance personnel scheduling requirement list, performs the time period allocation operation and retrieves the cleaning route, screens the route difficulty level, checks the security patrol priority order arrangement, and generates the allocation matching result;

[0039] An emergency monitoring module, based on the allocation matching result, monitors the sources of emergencies item by item and compares the event levels, modifies the time period arrangement with reference to the meteorological change records, corrects the plant pest inspection duration and compares it with the existing task list, performs personnel role switching and checks the priority of the viewing route, and generates the dynamic scheduling instruction;

[0040] A dynamic scheduling module, based on the dynamic scheduling instruction, screens the inspection route nodes with reference to the garden area coordinates, checks the soil nutrient monitoring values and compares them with the upper and lower nutrient thresholds, corrects the ecological water body inspection time sequence and revises the observation frequency, and makes fine adjustments to the maintenance personnel scheduling shift time period, and generates the real-time allocation information;

[0041] Ecological environment assessment module, based on real-time allocation information, extracts the numerical value of soil degradation degree and compares it with the previous statistical records, reviews the summary of vegetation growth indicators and compares the growth stages of different communities, checks the key points for verifying the hedge trimming cycle and records the error distance, records the time-consuming of the cleaning route screening path, generates the ecological footprint load value, based on the ecological footprint load value, reviews the distribution data of each region of the landscape structure and compares the soil characteristic differences, revises the verification results of the vegetation area boundary and the ecological water body inspection boundary, checks the position coordinates of the buffer ecological island and adjusts the connection channel, updates the security patrol priority order, and generates an adaptive layout plan.

[0042] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0043] The present invention retrieves meteorological monitoring values through the regional division map and compares them with the collection time, correlates the soil humidity and vegetation health parameter information, integrates the hedge trimming status and ecological water body inspection data, realizes regional coordinate registration, improves the distribution accuracy of basic elements, and promotes the improvement of the refinement degree of garden landscape management; according to the distribution information of basic elements, classifies and counts the workload of personnel and refines skill tags, allocates time periods, optimizes the inspection routes and difficulty levels, reasonably verifies the priority order arrangement of security patrols, and promotes the precise scheduling and efficient utilization of maintenance personnel; classifies and dynamically compares the sources of emergencies, combines meteorological change records to correct the time period arrangement in real time, and refines the inspection duration of pests and diseases and the role switching operation, which helps to improve the garden emergency response and dynamic response efficiency; according to the dynamic scheduling instructions, screens the inspection nodes in the garden area, checks the soil nutrient monitoring values and the threshold range, dynamically corrects the water body inspection time sequence and observation frequency, completes the fine-tuning of the maintenance personnel schedule and real-time information distribution, and improves the timeliness and effectiveness of the overall maintenance operation. Brief Description of the Drawings

[0044] Figure 1 It is a schematic diagram of the steps of the present invention. Detailed Embodiment

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0046] Please refer to Figure 1 , the present invention provides a technical solution, a smart management method for garden landscape engineering, including the following steps:

[0047] Based on the garden area division map, the meteorological monitoring values ​​are retrieved item by item and compared with the collection time, the soil moisture values ​​and the associated dates of vegetation health parameters are compared, the hedge pruning status information and ecological water body inspection record verification data are integrated, the regional coordinates are aligned, and the basic element distribution information is generated;

[0048] Based on the basic element distribution information, compare the workload records of personnel and classify and count them, mark the skill tags according to the maintenance personnel scheduling demand list, perform time period allocation operations and retrieve cleaning routes, screen the route difficulty level, verify the security patrol priority arrangement, and generate allocation matching results;

[0049] Based on the allocation and matching results, the sources of emergencies are monitored item by item and the event levels are compared. The time schedule is changed according to the meteorological change records. The duration of plant pest inspection is revised and compared with the existing task list. Personnel role switching and viewing route priority verification are performed to generate dynamic scheduling instructions.

[0050] Based on dynamic scheduling instructions, the inspection route nodes are selected according to the coordinates of the garden area, the soil nutrient monitoring values ​​are checked and compared with the upper and lower nutrient thresholds, the ecological water body inspection timing is corrected and the observation frequency is revised, the maintenance personnel scheduling and scheduling time periods are fine-tuned, and real-time allocation information is generated.

[0051] Based on real-time distribution information, extract the soil degradation degree value and compare it with the previous statistical records, review the summary of vegetation growth indicators and compare the growth stages of different communities, check the key points of hedge trimming cycle and record the error distance, record the time consumption of cleaning route screening path, and generate ecological footprint load value;

[0052] Based on the ecological footprint load value, review the distribution data of each area of ​​the landscape structure and compare the differences in soil characteristics, revise the vegetation area boundaries and match the verification results of the ecological water body inspection boundaries, check the location coordinates of the buffer ecological island and adjust the connecting channels, update the security patrol priority, and generate an adaptive layout plan.

[0053] The steps for obtaining basic element distribution information include:

[0054] Based on the garden area division map, the meteorological monitoring values ​​are retrieved item by item, the collection time is compared with the recording time of each station, the difference between the daily average and the monthly average values ​​is cross-summarized and the extreme value fluctuation is detected to generate temporary monitoring comparison results;

[0055] Based on the temporary monitoring comparison results, the soil moisture values ​​are compared, the recording dates of vegetation health parameters are associated, the hedge pruning status information and ecological water body inspection record verification data are integrated, the observation timestamps are merged and the observation locations are compared to generate coordinate association data;

[0056] Based on the coordinate correlation data, verify the origin of the coordinate system and the sequence of garden boundary points, match and adjust, compare the misaligned values, perform regional coordinate registration, and generate the distribution information of basic elements.

[0057] Specifically, referring to the already divided garden area range, when summarizing the meteorological monitoring values of each measuring station, first read the records of the daily average temperature, humidity, and precipitation of each measuring station one by one. Compare the temperature with the range between 0°C and 90°C, and compare the precipitation with the range between 0 mm and 500 mm. If the temperature or precipitation of a certain measuring station exceeds these ranges, it is marked as abnormal. When processing the data, it is also necessary to perform a difference operation on the daily average value and the monthly average value, with the daily average value being , the monthly average value being m, and the difference . By calculating these differences, the fluctuation range can be found and it can be judged whether the extreme value threshold is reached, where the extreme value threshold , represents the mean value of the differences, represents the standard deviation of the differences, k is an empirically set value and can be obtained according to historical monitoring statistics. For example, set to identify large fluctuations. In the process of identifying extreme values, a neural network model can be used for auxiliary determination. In the training stage of this model, the daily and monthly difference data and the annotation information on whether extreme conditions occur are used as input and labels. Set the input layer to receive and the corresponding historical reference information. Adopt a two-layer hidden layer structure. The first layer contains 32 neurons, and the second layer contains 16 neurons. The activation function is fixed as ReLU. The output layer uses the Sigmoid function to distinguish between "extreme value" and "non-extreme value". In the training process, iterate with a batch size of 20, set the learning rate to 0.001, and select Adam as the optimization method. In each round of training, compare the predicted output and the known annotation, and perform backpropagation through the cross-entropy loss. After about 100 rounds, a convergent state is obtained. Finally, in the inference stage, input the new and obtain the determination result of whether it is an extreme value. By comprehensively comparing the situations of each measuring station, the difference level between the daily average and the monthly average can be cross-inductively obtained and the corresponding extreme value fluctuations can be marked, so as to obtain the temporary monitoring comparison result.

[0058] When comparing the soil moisture value with the previously obtained meteorological data based on the above temporary monitoring and comparison results, it is necessary to first extract the soil moisture records from historical samples. For example, the normal humidity range is usually 5% to 60%. If the reading is less than 5% or exceeds 60%, it is determined to be outside the empirical range. At the same time, check the recording dates of the vegetation health parameters item by item and correspond them to the above meteorological records. During this process, image recognition means can be combined to judge the pruning status of the hedge. The specific method is to first perform grayscale processing on the captured image of the hedge and extract edge features, and then use the image pixel matrix as the input of a convolutional neural network. This convolutional network contains two convolutional layers and two fully connected layers, and the size of the convolutional kernel is fixed at with a stride of 1. Compare the labeled data of the fully pruned and unpruned states to construct a training set. During the training process, read the labeling information of each image and map it to a classification label. Perform iterative training by minimizing the cross-entropy loss function. Set the batch size to 32, the learning rate to 0.0005, and the optimization algorithm to Adam. After training for about 80 rounds, a stable classification model can be obtained. In the inference stage, input the hedge image to be recognized into this model, and output the pruning status determination. Next, when associating the inspection records of the ecological water body, match the date and spatial coordinates corresponding to each inspection with the previously extracted soil moisture and vegetation health parameters. If there are multiple inspections and the positions overlap, then merge the observation timestamps and compare the acquisition coordinates. Finally, summarize all the data with consistent comparisons as the coordinate association result, and thus obtain the coordinate association data.

[0059] Based on the previously obtained coordinate association data, when checking the origin of the coordinate system and the sequence of garden boundary points, the longitude, latitude or plane coordinates of each boundary point can be inspected. If the distance error between any boundary point and the origin exceeds 1m or other empirically set deviation ranges, for example, can be taken as the benchmark, then it is regarded as coordinate misalignment and needs to be corrected. During the matching and adjustment, compare the observed coordinates with the garden partition coordinates one by one to obtain the misalignment amount , and represent the x and y coordinates of the observation point used when calculating the distance error respectively. and represent the x and y coordinates of the garden partition (or benchmark) point paired and compared with the observation points and respectively. If it indicates that this point needs to be adjusted. In the specific calculation process, a simple offset compensation method can be used to correct the coordinates to align with the benchmark, or a linear regression-based method can be used to fit the collected coordinates and the known standard coordinates. Among them, the objective function of the fitting model can be set as , Refers to the input coordinate value of the i-th sample point used in linear regression fitting (e.g., a certain dimension value in the collected coordinates), In linear regression fitting, it refers to the input value of the i-th sample point The corresponding target coordinate value (e.g., the corresponding dimension value in the known standard coordinates), where and respectively represent the regression coefficients. The fitting parameters can be obtained by minimizing this objective function for n coordinate samples. After the correction is completed, compare point by point again. If all errors are lower than , it is regarded as the matching adjustment being completed. Through this step, all coordinates are corrected to a unified reference system. Finally, summarize the boundary range information of each area and the information of the identified key coordinate points to obtain the basic element distribution information.

[0060] The steps to obtain the allocation matching result include:

[0061] Based on the basic element distribution information, compare the workload records of personnel, extract working hours, mark the task quantity of each job group and summarize the results, classify and statistically analyze the labor distribution characteristics, and generate personnel workload statistical information;

[0062] Based on the personnel workload statistical information, mark skill tags by referring to the maintenance personnel scheduling requirement list, retrieve the attributes of each position and associate available time periods, perform the time period allocation operation, and generate personnel time period allocation information;

[0063] Based on the personnel time period allocation information, retrieve the path data of the cleaning route, evaluate the terrain and passage level, screen the difficulty level of the route, and verify the priority arrangement of security patrols to generate the allocation matching result.

[0064] Specifically, referring to the existing basic element distribution information, first read all personnel workload records and extract the working hour data item by item. When reading, count the task quantity of each job group one by one and record the group name, the assigned task number, and the corresponding working hours. If the working hours exceed the experience threshold, mark them with a specific mark. The experience threshold can be deduced based on the average working duration of previous similar projects. For example, take the arithmetic mean M of the daily working hours of all job groups in the reference project sample, and set a coefficient k in the calculation process to determine the deviation degree, such as or etc. Suppose in a certain statistics, hours are obtained. If the single-day working hours of a certain group are greater than , it is determined that its working hours exceed the preset range. After the summary of all group task data is completed, the task quantities of each group are split. For example, the group task volume is compared with the range between 0 and 30. If a group has more than 30 tasks, it is regarded as a high-load group. If it is 10 or less, it is classified as a low-load group. In this process, the group information will also be grouped and compared according to requirements to distinguish different operation types. Finally, data information such as the task quantities and working hours of each group is classified and counted to obtain the personnel workload statistical information.

[0065] Referring to the personnel workload statistical information, the skill types of each job position are extracted from the maintenance personnel scheduling requirement list and matched item by item with the maintenance requirements. In this process, the job attribute description is first read and the specific operation capabilities under the major skills are recorded. For example, "hedge trimming skill", "plant pest inspection skill", etc. If "hedge trimming skill" appears in the maintenance personnel scheduling requirement list and there are operation level requirements for this skill, it is necessary to compare whether the corresponding level in the job attribute is met. If it is met, it is marked that this job position can match this requirement and the available time period information is retained. The available time period information is usually planned in hours. For example, 8 am to 12 pm is recorded as time period A, and 1 pm to 5 pm is recorded as time period B. If a job position has already been arranged for 2 hours of other tasks within time period A, the remaining available time is 2 hours. When the attributes of all job positions and the scheduling requirements are all compared, the matching skill labels and the available time periods of each job position are loaded into the further time period allocation operation. In this operation, according to the pre-agreed working hour limit, such as no more than 8 hours per day. If a job position has already been arranged for 6 hours of tasks, then when scheduling again, it shall not exceed 2 hours. The allocation calculation is continuously carried out for all job positions, and finally the personnel time period allocation information is obtained.

[0066] Refer to the personnel time period allocation information, retrieve the path data of the cleaning routes, and evaluate the passage level based on the terrain, slope, and possible obstacle conditions of each route. When performing the screening of route difficulty, a machine learning model can be introduced to classify the terrain features. During the training phase of this model, the height, slope, surface material, and passage speed data of known terrains are collected as inputs, and the route difficulty level labels are used as outputs. A multi-layer network structure is established for classification. For example, the input layer is set to include four neurons that receive height, slope, surface material, and passage speed respectively. The hidden layer can adopt a two-layer architecture, with the first layer containing 16 neurons and the second layer containing 8 neurons. The activation function is fixed as ReLU, and the output layer is set to a Softmax structure for two-class or three-class classification. During the training process, the difficulty level annotations of known routes are used as targets, the cross-entropy loss function is used to measure the difference between the prediction results and the annotations, and the Adam method with a learning rate of 0.001 is used for backpropagation iteration. When about 100 rounds of training are completed, the training is stopped only when the accuracy stabilizes above a certain threshold, and a classification model for inference is obtained. During inference, the features such as height and slope of each cleaning route are input into this model, and the classification results of the difficulty level are output. Subsequently, the passage level identification is performed on the final classification results of each route. If a route is shown to be of high difficulty, further verification needs to be carried out in combination with the priority order of security patrols during the arrangement. For example, when the patrol priority order is high, this route is forced into the emergency inspection sequence, otherwise the general arrangement is maintained. After all routes have completed such evaluations, the security patrol priority order is summarized and the final configuration information is output to generate the allocation matching result.

[0067] The steps for obtaining the dynamic scheduling instructions include:

[0068] Based on the allocation matching result, monitor the sources of emergencies item by item, collect the event types and compare the event levels, and check for conflicts with the previous personnel scheduling information records to generate the emergency situation level comparison information;

[0069] Based on the emergency situation level comparison information, refer to the meteorological change records to change the time period arrangement, correct the inspection duration for plant diseases and pests, and compare with the existing task list to screen the influence range and priority order for handling, and generate the corrected time period arrangement data;

[0070] Based on the corrected time period arrangement data, perform personnel role switching and allocate them to the designated areas, check the time period markings of the viewing routes and determine the priority conflicts to generate the dynamic scheduling instructions.

[0071] Specifically, referring to the allocation matching results, first retrieve the event types one by one from the emergency monitoring records and classify them according to the pre-established event level intervals. For example, the event levels can be divided into five levels from 1 to 5. Among them, level 1 represents general events, and level 5 represents serious events. When making specific judgments, it is necessary to combine the keywords in the event description or the associated quantitative parameters. If the damaged area range in the event exceeds the pre-agreed benchmark value, the event level can be raised to a higher level. Here, the benchmark value can be determined according to the site scale and past statistics. For example, in a park covering 1,000 square meters, when the damaged area exceeds 100 square meters, the event level can be classified as level 3 or above. If it exceeds 300 square meters, it will be raised to level 5. At the same time, the event types collected may include different types such as facility damage, sudden safety alarms, or major natural disasters. When comparing the event levels, it is also necessary to check the personnel scheduling information to determine whether there are conflicts. For example, establish a list of each maintenance personnel's on-duty periods in hours. If the newly emerged emergency situation overlaps with the current personnel scheduling period, mark the possible scheduling conflicts in the record. The maximum working hours per day for each person are usually set at 8 hours or 10 hours, which is given by the team management experience. When conflicts occur, it can be decided whether to immediately handle the emergency situation according to the event level or whether temporary coordination is needed. When performing conflict detection, it is also necessary to check whether there are personnel who have undertaken multiple emergency tasks in a short period. For example, if the same person is assigned more than 2 high-level events in a day, it is regarded as exceeding the tolerance range, and it is necessary to trigger the reallocation of priorities or transfer personnel. These monitoring processes are carried out by reading the emergency records and the scheduling table for item-by-item comparison, and listing all possible conflicts one by one. Finally, the information such as event types, corresponding levels, and whether there are conflicts is summarized to obtain the emergency situation level comparison information.

[0072] Referring to the reference information on emergency situation levels, first extract the corresponding data of each event level and the affected range from it and compare it with the meteorological change records. When comparing, the range of weather conditions can be set, for example, the temperature is compared from 0°C to 45°C, and the wind force is compared from 0 to 12 levels. If the forecast shows that the wind force can reach level 8 or above during the emergency handling period, the original arrangement needs to be adjusted. For example, when the event level is greater than 3 and the wind force prediction is level 8, some outdoor inspection or repair time periods are directly postponed. Then, correct the inspection duration of plant diseases and insect pests. When correcting, first read the time period information related to the inspection of diseases and insect pests in the existing task list, and set a baseline inspection duration for diseases and insect pests according to the event level and the reference literature or existing empirical values of the risk of diseases and insect pests. For example, the daily inspection baseline is 2 hours. If the emergency situation level is 4 or 5, an additional 1 to 2 hours of inspection duration can be added. If the range that the diseases and insect pests can cause exceeds the statistical baseline, for example, the number of vegetation affected by diseases and insect pests is greater than 50 plants, then at least an additional 30 minutes of inspection time is added. After these adjustment operations are completed, compare the new inspection time period with other established tasks. If time period conflicts or the maximum working hours per day are exceeded, secondary allocation is required. When making specific allocations, the method of cross-checking by time period can also be used to check whether there are existing arrangements for the morning, afternoon, or night time periods respectively. If there are multiple tasks in the same time period and all belong to high priority levels, it is necessary to reweigh them in combination with the event level and the urgency of the inspection. If the conflict still cannot be eliminated, the low-priority tasks are postponed. After all adjustments are completed, associate the meteorological records, event levels, and inspection time periods and mark the final allocation situation, thereby obtaining the corrected time period arrangement data.

[0073] Referring to the revised schedule data, first check whether the skills and current roles of each maintenance staff meet the requirements of the latest schedule. When performing a personnel role switch, the skill category and role assignment comparison table need to be read first. For example, some personnel have vegetation pruning skills and regular inspection skills, and some personnel have water body monitoring skills and security patrol skills. If it is found in the revised schedule data that there are multiple vegetation pruning requirements concentrated in one period, some personnel with patrol skills but also having vegetation pruning skills can be temporarily switched in role. When assigned to a designated area, mark them first according to the area number and the level of urgency. For example, for an area with an emergency level of 5, arrange more than 2 personnel with corresponding skills first. For an area with a level of 3 or below, the number of personnel can be reduced to 1 and some periods can be reserved for other tasks. Then check the period markings of the viewing route and retrieve whether there is an overlap where the same period is assigned to both the viewing activity and the pest inspection. If it is found that there are more than two high-priority activities marked on the same route within the same hour, it is regarded as a conflict and needs to be adjusted again. If there are many conflicts, further refer to the revised schedule data and reassign after checking the remaining free time of each personnel. After all rounds of inspections are completed and it is confirmed that all assignments meet the requirements of skills and periods, the latest assignment situation can be summarized and output to generate a dynamic scheduling instruction.

[0074] The steps for obtaining real-time allocation information include:

[0075] Based on the dynamic scheduling instruction, screen the inspection route nodes against the garden area coordinates, check each node type and mark the passing order to generate the inspection route node information;

[0076] Based on the inspection route node information, check the soil nutrient monitoring values and compare them with the upper and lower nutrient thresholds, correct the ecological water body inspection time sequence and revise the observation frequency to generate the revised monitoring time sequence;

[0077] Based on the revised monitoring time sequence, perform a fine-tuning of the maintenance personnel scheduling period, divide the period blocks and reset the handover nodes to generate real-time allocation information.

[0078] Specifically, referring to the dynamic scheduling instruction, first read the coordinates of the garden area and set a basic coordinate index table for each area. Identify each potential inspection node point by point from this index table. When identifying nodes, several node categories can be defined in combination with the area division map. For example, mark the lawn maintenance node as C, the water body observation node as W, and the footpath safety inspection node as P. If there is an overlap of two or more types of nodes in a certain area, compare their priority order and spatial position in the dynamic scheduling instruction one by one. If the priority order conflicts, the node category needs to be reallocated according to the management experience value. The management experience value can be statistically analyzed for similar scenarios based on historical records. For example, in more than 10 similar scenarios, if the nodes ranked in the top 3 in the inspection tasks are all lawn maintenance nodes, then the subsequent water body observation nodes can be listed as low priority. Then, traverse in the order of coordinates. If the distance between the coordinates of any node and the previous node is greater than a pre-determined reference value , for example, taking 30 meters or 50 meters, it is determined that this node is not continuous with the previous node and does not need to be merged into the same path. On the contrary, if the distance is less than or equal to this reference value, it is regarded as a continuous node on the same inspection path. After all nodes are located, then check the type of each node. If it is a lawn maintenance node, mark the corresponding required equipment and personnel. If it is a water body observation node, use the maintenance requirements as auxiliary information, and number the passing order between the node and the next adjacent node. If it is found that a certain passing order is repeated or spans too many nodes, the section distance needs to be checked again. For example, it can be stipulated that if the number of spanned nodes exceeds 3 and the height difference between each node in the adjacent coordinate system is greater than 1 meter, it is regarded as a section with a large slope that needs to be re-planned. After the planning is completed, number all nodes and output the overall inspection route node information.

[0079] Refer to the inspection route node information. First, select all the nodes related to soil nutrient detection from the node types and read their coordinate positions. Then, compare the values in the soil nutrient monitoring records and compare them point by point with the pre-set upper and lower threshold ranges. For example, take the soil organic matter content of 1% to 10% as a basic range. If a certain measurement point is lower than 1%, it is marked as severely deficient. If it exceeds 10%, it is marked as high concentration. After comparing the nutrient monitoring values of all nodes with this range one by one, a list of deficient or high nodes can be summarized. Further, combined with the order of these nodes in the inspection route, when arranging the observation order, if it is found that some nodes are clustered together and are all in a high or deficient state, the observation frequency is determined according to the quantity. If the number of clustered points is more than 5, at least two observations are arranged within the same day. Conversely, if the number is between 1 and 3, only one observation is needed. At the same time, the inspection time sequence of the ecological water body is also corrected. Compare the nodes marked as water body observation in the inspection route node information with the deficient or high soil nodes. If the water body observation and soil nutrients both deviate from the normal range on the same route, the observation frequency is increased to twice a day or more. The specific threshold setting can take the average observation frequency of 1 time / day in historical experience and increase it in case of special circumstances. After the above comparison is completed, a revised observation frequency list can be obtained and combined with the existing inspection route order to complete the rearrangement of all observation periods, and finally a revised monitoring time sequence is obtained.

[0080] Refer to the revised monitoring time sequence and check the scheduling arrangements of the maintenance personnel item by item according to the number of people and skill types required for each observation period. If there are two or more people with the same specific skill in a certain period but the number of inspection points is too small, adjust it to only retain one person whose skills meet the requirements and leave the period of the other person vacant for other needs. If there is still a lack of personnel who can handle the deviation of soil nutrients in adjacent periods, divide the extra personnel in the previous period to this period. The specific process of dividing the periods can divide the 24 hours of a day into multiple blocks. For example, block A: 8:00 to 12:00, block B: 12:00 to 16:00, block C: 16:00 to 20:00, block D: 20:00 to 24:00. Cumulatively compare the available time of each maintenance personnel. If someone has invested 3 hours in the observation task in block A and has 1 hour left, when the new inspection requirement is more than 2 hours, it cannot be fully matched, and other personnel's vacant blocks need to be retrieved again. If there is still no match, see if the inspection requirement can be split. If it cannot be split, the period can only be redefined and the handover nodes are adjusted to meet the observation requirements of key nodes. After completing the allocation of all period blocks and the corresponding maintenance personnel and confirming that there is no duplicate occupation or over-limit duration, integrate and summarize the latest scheduling results to generate real-time allocation information.

[0081] The steps for obtaining the ecological footprint load value include:

[0082] Based on the real-time allocation information, extract the numerical value of soil degradation degree and compare it with the previous statistical records, verify the soil loss differences in different regions and mark the levels, and generate the soil degradation comparison results;

[0083] Based on the soil degradation comparison results, review the summary of vegetation growth indicators and compare the growth stages of different communities, record the differences at each stage and locate the abnormal areas, and generate the vegetation growth comparison information;

[0084] Based on the vegetation growth comparison information, check the key points for verifying the hedge trimming cycle and record the error distance, execute the time-consuming record of the cleaning route screening, and generate the ecological footprint load value.

[0085] Specifically, referring to the real-time allocation information, first extract the soil-related data recorded in the recent inspections in different regions from it and integrate them into items such as the soil nutrient consumption rate and the percentage of inherent structure loss. Subsequently, compare these items with the previous statistical records. When comparing, it is necessary to review the previous status of the same measuring points item by item. For example, calculate the current soil structure loss percentage of each measuring point with its average value in the past month. If the deviation amplitude of the loss percentage exceeds the critical value set in advance according to historical experience , for example, it can be statistically obtained that the average loss level is about 10% in several similar garden projects, and an adjustable coefficient k is added to determine the obvious deviation. If the loss percentage of a certain measuring point is greater than , it is regarded as a significant increase in loss. Similarly, if it is less than it is regarded as a mitigation of loss. After completing the loss comparison, comprehensively judge in combination with the soil nutrient consumption rate. If the consumption rate exceeds the range of 2% to 3% per week, it is also marked as a potential degradation risk. On this basis, mark the soil loss differences in each region. Regions with smaller difference values are given low-level marks, while regions with higher difference values are marked as medium or high levels accordingly. At the same time, if it is found that the loss levels in some regions exceed the above critical value continuously for multiple times within a month, it is necessary to additionally mark them as the emergency level. Finally, review the marked situations of these regions side by side with the previous loss trend curve. If the degree of conformity between the two is high, the existing marks are retained. If there is inconsistency, an additional manual inspection link is added during the comparison, such as checking whether there is a dislocation between the data collection date and the inspection date. If there is a dislocation, adjust the reference benchmark value and calculate again. When all data have been verified, centrally summarize the soil degradation levels marked by region to generate the soil degradation comparison results.

[0086] Referring to the results of the soil degradation control, when reviewing the vegetation growth indicators, first read the records of the vegetation species, average height, coverage, etc. in each area. Compare the recorded average height with the established range. For example, consider the height range from 10 cm to 50 cm as the seedling stage, from 50 cm to 1 m as the mid - growth stage, and over 1 m as the adult stage. If more than 70% of the plants in a community are lower than 10 cm, they are uniformly classified as a seedling community. If a considerable number of plants in the same area exceed 1 m, it can be characterized that the community growth is asynchronous. At this time, each community needs to be separated and different growth - stage identifiers are established. Then, combined with the statistics of the vegetation coverage, the density difference is judged. For example, a community with a coverage lower than 30% is marked as sparse, and higher than 70% is marked as dense. After obtaining the stage division and density annotation of the community, compare with the previously - statistically soil degradation level. If the soil degradation level is high and the vegetation community is in the seedling stage, record this area as a key concern. If there are abnormal values in the vegetation height that do not conform to the corresponding growth stage, such as only a very small number of plants in the same community with a height far exceeding 1 m but a thin main trunk, mark it as abnormal growth and record the specific coordinates. When the growth - stage information and abnormal areas of all communities are located, form a comparison table of growth stages and abnormal distributions and summarize it to generate vegetation growth comparison information.

[0087] Referring to the vegetation growth comparison information, when inspecting the hedge - trimming cycle, it is necessary to compare the trimming records in each area along the time axis. For example, assume the regular cycle of each trimming is 30 days. If the time interval between this inspection and the last trimming exceeds 40 days, it is marked as trimming overdue. If it is less than 20 days, it is judged as trimming too frequently. At the same time, it is necessary to measure the actual height and shape of the hedge and compare with the trimming reference value. For example, if the reference height of a certain common hedge is set at 70 cm, when the recorded average height exceeds 70 cm by more than 10 cm or the height deviation of some plant clusters exceeds 15 cm, record this data in the error distance for subsequent analysis. Next, statistically analyze the time consumption generated during the screening of the cleaning route section by section. If a section of the route contains vegetation - trimming points or large - area leaf - falling areas, the time consumption may be 5 to 10 minutes more than that of other routes of the same length. If it exceeds 10 minutes, make an additional mark. By recording the time consumption of these routes and combining it with the existing hedge - trimming cycle data, the potential burden of each area can be evaluated from multiple dimensions. When all records are completed, centrally summarize the hedge - trimming cycle information, error distance, and the time - consumption results of each cleaning route to generate the ecological footprint load value.

[0088] The steps for obtaining the adaptive layout scheme include:

[0089] Based on the ecological footprint load value, review the distribution data of each area of the landscape structure and compare the soil - characteristic differences, list the edge areas and extract the plough - layer conditions to generate the landscape - structure comparison information;

[0090] Based on the landscape structure comparison information, revise the vegetation area boundary and match the verification results of the ecological water body inspection boundary, record the displacement of each overlapping boundary, and generate vegetation and water body calibration information;

[0091] Based on the vegetation and water body calibration information, the location coordinates of the buffer ecological island are verified and the connecting channels are adjusted, the security patrol priority is updated, and an adaptive layout plan is generated.

[0092] Specifically, referring to the ecological footprint load value, first extract the latitude and longitude information and soil parameter records of each area from the distribution data of the garden area, and compare the soil characteristics item by item according to the block boundaries. If it is found that the soil viscosity of some blocks is significantly higher than the existing reference range, for example, the normal viscosity has been set between 10% and 30% in the historical analysis. When the viscosity is detected to be higher than 30% and reaches 40%, it is marked as a high viscosity area. If the viscosity is lower than 10%, it is marked as a loose area. Then compare the fertility index of each area. If the fertility index is higher than the average level, an offset coefficient is noted in the distribution map. The coefficient can be set by the mean and standard deviation of hundreds of soil test data. For example, if the mean is 20 and the standard deviation is 5, the offset coefficient can be set. , any fertility index lower than 12.5 or higher than 27.5 is considered abnormal and specially marked. After the soil difference comparison is completed for all areas, the position coordinates of the edge area are retrieved and the distance between it and the central area is numerically calculated. If the distance exceeds the set threshold of 40 meters, it is regarded as a relatively independent edge. Then, the tillage layer conditions of each edge area are separately extracted. The tillage layer conditions may include tillage layer thickness and organic matter reserves. For example, if the tillage layer thickness is less than 10 cm, it is marked as shallow tillage layer, and if it is higher than 25 cm, it is marked as deep tillage layer. In each type of edge block, the tillage layer thickness and organic matter reserves are sorted out item by item. If the organic matter reserves are far below the benchmark value, for example, less than 1%, the area will be further paid attention to. At this point, all block information, soil characteristics and tillage layer conditions are sorted out according to the edge and center categories and summarized into the corresponding distribution information to generate landscape structure comparison information.

[0093] Referring to the landscape structure comparison information, when revising the boundaries of the vegetation areas, it is necessary to first read the original boundary polygon coordinates of each area, and then match them point by point in combination with the water body boundary coordinates recorded in the previous ecological water body inspection. If a point is found to have a water body mark in the vegetation area, the overlapping boundary is determined according to the degree of intersection of the two types of boundaries. If the overlapping distance is less than or equal to 10 meters, it is merged into a single boundary. If the overlapping distance is greater than 10 meters and exceeds the set allowable deviation of 30%, it is marked as a conflict point and the displacement of the overlapping boundary is recorded. The displacement can be obtained by calculating the Euclidean distance between the original boundary coordinates and the water body verification coordinates. For example, if the coordinate difference is and , then the displacement , after all overlapping boundaries have been compared in sequence, check whether there are cases where multiple boundary segments intersect. If three or more consecutive vertices are overlapping, it is determined as a large-scale collinear segment. At this time, check whether the preset area types are of the same use. If the uses are the same, they can be directly merged. If the uses are different, record the conflict according to the original classification. Finally, list the displacement amounts of all overlapping boundaries item by item and incorporate them into the corresponding coordinate references, while correcting the new vegetation area boundary and marking the merged or independent water body boundaries therein. After checking for no omissions, integrate all the merged and marked coordinate distribution records to generate vegetation and water body calibration information.

[0094] Referring to the vegetation and water body calibration information, when comparing the position coordinates of the buffer ecological island, it is necessary to first read the defined ecological island nodes and compare each of them with the calibrated vegetation and water body distribution. If the coordinate of an ecological island node is less than 10 meters away from the water boundary, it is determined that there is an adjacent relationship. In this case, the connection channel can be adjusted to avoid overcrowded areas. If the node coordinate is more than 50 meters away from the water or vegetation boundary, it is considered non-overlapping and the original channel arrangement can be retained. Then, check the coordinate sequence of each connection channel. If the channel passes through any high-level security patrol areas, update it in the list of patrol priorities. For example, within the preset security level range of 1 to 5, if the area is level 4 or 5, the patrol priority is brought forward. If it is only level 1 or 2, the original schedule can be left unchanged. When all channels have been compared, summarize the new patrol order list and cross-reference it with the previous personnel scheduling records. If the patrol frequency of a channel is increased due to security requirements, the patrol times of other low-priority sections are reduced accordingly. Finally, centrally record the position coordinates, channel adjustments, and priority updates to generate an adaptive layout plan.

[0095] The present invention provides a smart management system, including:

[0096] A basic element distribution module, based on the garden area division map, retrieves meteorological monitoring values item by item and compares the collection times, refers to the correlation date between the soil humidity value and the vegetation health parameter, integrates the hedge trimming status information and the ecological water body inspection record, performs regional coordinate registration, and generates basic element distribution information;

[0097] A workload statistics module, based on the basic element distribution information, compares the personnel workload records and conducts classification statistics, marks skill tags, refers to the maintenance personnel scheduling requirement list, performs time period allocation operations and retrieves the cleaning routes, screens the route difficulty levels, verifies the security patrol priority arrangements, and generates an allocation matching result;

[0098] The emergency monitoring module, based on the allocation matching results, monitors the sources of emergencies item by item, compares the event levels, modifies the time period arrangement with reference to the meteorological change records, corrects the inspection duration of plant diseases and pests, compares it with the existing task list, switches personnel roles and validates the priority of the viewing routes, and generates dynamic scheduling instructions;

[0099] The dynamic scheduling module, based on the dynamic scheduling instructions, screens the inspection route nodes according to the coordinates of the garden area, checks the soil nutrient monitoring values and compares the upper and lower nutrient thresholds, corrects the inspection time sequence of the ecological water body and revises the observation frequency, makes fine adjustments to the scheduling time period of the maintenance personnel, and generates real-time allocation information;

[0100] The ecological environment assessment module, based on the real-time allocation information, extracts the soil degradation degree value and compares it with the previous statistical records, reviews the summary of vegetation growth indicators and compares the growth stages of different communities, checks the key points for verifying the hedge trimming cycle and records the error distance, records the time consumption of the cleaning route screening path, generates the ecological footprint load value, based on the ecological footprint load value, reviews the distribution data of each area of the landscape structure and compares the soil characteristic differences, revises the boundary of the vegetation area and the verification result of the ecological water body inspection boundary, checks the position coordinates of the buffer ecological island and adjusts the connection channel, updates the priority order of the security patrol, and generates an adaptive layout plan.

[0101] The above is only the preferred embodiment of the present invention, and does not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical content of the technical solution of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for intelligent management of garden landscape engineering, characterized in that: The following steps are involved: Based on the garden area division map, the meteorological monitoring values ​​are retrieved item by item and compared with the collection time, the soil moisture values ​​and the associated dates of vegetation health parameters are compared, the hedge pruning status information and ecological water body inspection record verification data are integrated, the regional coordinates are aligned, and the basic element distribution information is generated; Based on the basic element distribution information, compare the workload records of personnel and classify and count them, mark the skill tags according to the maintenance personnel scheduling demand list, perform time period allocation operations and retrieve cleaning routes, screen the route difficulty level, verify the security patrol priority arrangement, and generate allocation matching results; Based on the allocation and matching results, the sources of emergencies are monitored item by item and the event levels are compared, the time schedule is changed with reference to the meteorological change records, the duration of plant pest inspection is corrected and compared with the existing task list, the personnel role switching and the viewing route priority are checked, and dynamic scheduling instructions are generated; Based on the dynamic scheduling instructions, the inspection route nodes are selected according to the coordinates of the garden area, the soil nutrient monitoring values ​​are checked and the upper and lower nutrient thresholds are compared, the ecological water body inspection timing is corrected and the observation frequency is revised, the maintenance personnel scheduling and scheduling time periods are fine-tuned, and real-time allocation information is generated.

2. The intelligent management method for garden landscape engineering according to claim 1 is characterized in that: Also includes: Based on the real-time distribution information, extract the soil degradation degree value and compare it with the previous statistical records, review the summary of vegetation growth indicators and compare the growth stages of different communities, check the key points of hedge trimming cycle and record the error distance, record the time consumption of cleaning route screening path, and generate the ecological footprint load value; Based on the ecological footprint load value, the distribution data of each area of ​​the landscape structure is reviewed and the differences in soil characteristics are compared. The vegetation area boundaries are revised and matched with the verification results of the ecological water body inspection boundaries. The location coordinates of the buffer ecological island are checked and the connecting channels are adjusted. The security patrol priority is updated and an adaptive layout plan is generated.

3. The intelligent management method for landscape engineering according to claim 1 is characterized in that: The step of acquiring the basic element distribution information comprises: Based on the garden area division map, the meteorological monitoring values ​​are retrieved item by item, the collection time is compared with the recording time of each station, the difference between the daily average and the monthly average values ​​is cross-summarized and the extreme value fluctuation is detected to generate temporary monitoring comparison results; Based on the temporary monitoring comparison results, the soil moisture value is compared, the recording date of the vegetation health parameters is associated, the hedge pruning status information and the ecological water body inspection record verification data are integrated, the observation timestamps are merged and the observation positions are compared to generate coordinate association data; Based on the coordinate association data, the origin of the coordinate system and the garden boundary point sequence are verified, the misaligned values ​​are matched, adjusted and compared, regional coordinate alignment is performed, and basic element distribution information is generated.

4. The intelligent management method for landscape engineering according to claim 1 is characterized in that: The step of obtaining the allocation matching result includes: Based on the basic element distribution information, compare the personnel workload records and extract the working hours, mark the number of tasks for each work group and summarize the results, classify and count the labor distribution characteristics, and generate personnel workload statistics; Based on the personnel workload statistics, the skill tags are marked in the maintenance personnel scheduling requirement list, each position attribute is retrieved and associated with the available time period, the time period allocation operation is performed, and the personnel time period allocation information is generated; Based on the personnel time period allocation information, the path data of the cleaning route is retrieved and the terrain and access level are evaluated, the route difficulty is screened and the priority arrangement of security patrols is verified, and the allocation matching result is generated.

5. The intelligent management method for garden landscape engineering according to claim 1 is characterized in that: The step of obtaining the dynamic scheduling instruction includes: Based on the allocation and matching results, the sources of emergencies are monitored item by item, event types are collected and event levels are compared, and conflicts in the previous personnel scheduling information records are compared to generate emergency level comparison information; Based on the emergency level control information, the time schedule is changed by referring to the meteorological change records, the plant disease and insect pest inspection duration is revised and compared with the existing task list, the impact scope and priority processing order are screened, and the revised time schedule data is generated; Based on the revised time period arrangement data, the roles of the executors are switched and assigned to the designated areas, the time period marks of the viewing routes are checked and priority conflicts are identified, and dynamic scheduling instructions are generated.

6. The intelligent management method for garden landscape engineering according to claim 1 is characterized in that: The step of acquiring the real-time allocation information comprises: Based on the dynamic scheduling instructions, the inspection route nodes are screened by comparing the garden area coordinates, each node type is checked and the passage order is marked, and the inspection route node information is generated; Based on the inspection route node information, the soil nutrient monitoring values ​​are checked and compared with the upper and lower nutrient thresholds, the ecological water body inspection sequence is corrected and the observation frequency is revised to generate a revised monitoring sequence; Based on the revised monitoring sequence, the maintenance personnel scheduling and scheduling period is fine-tuned, the time period is divided into blocks and the handover nodes are reset to generate real-time allocation information.

7. The intelligent management method for garden landscape engineering according to claim 2 is characterized in that: The steps of obtaining the ecological footprint load value include: Based on the real-time distribution information, extract the soil degradation degree value and compare it with the previous statistical records, verify the difference in soil loss in different areas and mark the level, and generate the soil degradation comparison result; Based on the soil degradation control results, review the vegetation growth indicators, summarize and compare the growth stages of different communities, record the differences between the stages and locate abnormal areas, and generate vegetation growth comparison information; Based on the vegetation growth comparison information, the key points of the hedge trimming cycle are checked and the error distance is recorded, the time consumption record of the cleaning route path screening is performed, and the ecological footprint load value is generated.

8. The intelligent management method for garden landscape engineering according to claim 2 is characterized in that: The step of obtaining the adaptive layout solution includes: Based on the ecological footprint load value, the distribution data of each area of ​​the landscape structure is reviewed and the differences in soil characteristics are compared, the edge areas are listed and the tillage layer conditions are extracted to generate landscape structure comparison information; Based on the landscape structure comparison information, the vegetation area boundary is revised and matched with the verification result of the ecological water body inspection boundary, the displacement of each overlapping boundary is recorded, and the vegetation and water body calibration information is generated; Based on the vegetation and water body calibration information, the location coordinates of the buffer ecological island are checked and the connecting channels are adjusted, the security patrol priority is updated, and an adaptive layout plan is generated.

9. The intelligent management system of the intelligent management method for garden landscape engineering according to any one of claims 1 to 8, characterized in that: include: The basic element distribution module, based on the garden area division map, retrieves meteorological monitoring values ​​one by one and compares the collection time, refers to the soil moisture value and the vegetation health parameter association date, integrates the hedge trimming status information and ecological water body inspection records, performs regional coordinate registration, and generates basic element distribution information; The workload statistics module compares the workload records of personnel and performs classification statistics based on the basic element distribution information, marks skill tags, compares the maintenance personnel scheduling demand list, performs time period allocation operations and retrieves cleaning routes, screens the route difficulty level, verifies the security patrol priority arrangement, and generates allocation matching results; The emergency monitoring module monitors the sources of emergencies item by item and compares the event levels based on the allocation matching results, modifies the time schedule with reference to the meteorological change records, corrects the duration of plant pest inspections and compares it with the existing task list, performs personnel role switching and viewing route priority verification, and generates dynamic scheduling instructions; The dynamic scheduling module, based on dynamic scheduling instructions, selects inspection route nodes according to the garden area coordinates, verifies soil nutrient monitoring values ​​and compares nutrient upper and lower thresholds, corrects the ecological water body inspection sequence and revises the observation frequency, performs maintenance personnel scheduling and scheduling period fine-tuning, and generates real-time allocation information; The ecological environment assessment module, based on real-time distribution information, extracts the soil degradation degree value and compares it with the previous statistical records, reviews the vegetation growth index summary and compares the growth stages of different communities, checks the verification points of the hedge pruning cycle and records the error distance, records the time consumption of the cleaning route screening path, generates the ecological footprint load value, reviews the distribution data of each area of ​​the landscape structure and compares the soil characteristics according to the ecological footprint load value, revises the verification results of the vegetation area boundary and the ecological water body inspection boundary, verifies the location coordinates of the buffer ecological island and adjusts the connecting channel, updates the security patrol priority, and generates an adaptive layout plan.

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