Garden landscape engineering intelligent management method and system

Abstract

The invention relates to the technical field of intelligent management, in particular to an intelligent management method and system for garden landscape engineering, and the method comprises the following steps: searching meteorological monitoring values item by item based on a garden region division map, comparing collection moments, and comparing soil humidity values with associated dates of vegetation health parameters; and integrating the hedge pruning state information and the ecological water body inspection record checking data. According to the invention, meteorological monitoring values are retrieved through the regional division map and are compared with acquisition moments, soil humidity and vegetation health parameter information are associated, a hedge pruning state and ecological water body inspection data are integrated, regional coordinate registration is realized, the distribution precision of basic elements is improved, and the refinement degree of garden landscape management is improved; according to basic element distribution information, staff workload is classified and counted, skill labels are refined, time periods are distributed, inspection routes and difficulty levels are optimized, priority arrangement of security patrol is reasonably verified, and precise scheduling and efficient utilization of maintenance staff are promoted.

Description

Technical Field

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

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

[0003] In the actual operation process, the existing technology usually simply connects with intelligent technology by traditional information means, and lacks in-depth integration and interaction for the real-time collection and comprehensive analysis of garden management information. When dealing with specific work tasks, the existing technology does not effectively associate the inherent logical relationship between different data items, resulting in the separation of meteorological monitoring, soil moisture, vegetation health and maintenance management information, and obvious data island phenomenon, which makes it difficult to effectively support the needs of refined management. In addition, the maintenance personnel scheduling often adopts a static allocation mode, which does not fully consider the real-time matching between dynamic events, skill differences and task priorities, and is prone to resource mismatch or duplication of work. Taking the actual situation as an example, when sudden pests and diseases occur in the garden area, it is difficult for the existing technology to quickly link the meteorological change records with the personnel task list, resulting in slow response of prevention and control measures and aggravated spread of plant pests and diseases, which in turn affects the overall landscape quality and viewing effect. Therefore, improvements are needed. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a garden landscape engineering intelligent management method and system.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme, a garden landscape engineering intelligent management method, comprising the following steps: 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.

[0006] Preferably, the method further includes: extracting the soil degradation degree value and comparing it with the previous statistical record based on the real-time distribution information, reviewing the vegetation growth index summary and comparing the growth stages of different communities, checking the key points of the hedge trimming cycle and recording the error distance, recording the time consumption of the cleaning route screening path, and generating 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.

[0007] Preferably, the step of acquiring the basic element distribution information includes: 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.

[0008] Preferably, 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.

[0009] Preferably, the step of acquiring 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.

[0010] Preferably, the step of acquiring the real-time allocation information includes: 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.

[0011] Preferably, the step of obtaining the ecological footprint load value includes: 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.

[0012] Preferably, 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.

[0013] The present invention provides a smart management system, including: 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, and based on the ecological footprint load value, reviews the distribution data of each area of ​​the landscape structure and compares the differences in soil characteristics, 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.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: The present invention retrieves meteorological monitoring values ​​through a regional division map and compares them with the collection time, associates soil moisture and vegetation health parameter information, integrates hedge pruning status and ecological water body inspection data, realizes regional coordinate alignment, improves the distribution accuracy of basic elements, and promotes the improvement of the refinement of garden landscape management; based on the basic element distribution information, the workload of personnel is classified and counted and skill labels are refined, time periods are allocated and inspection routes and difficulty levels are optimized, the priority arrangement of security patrols is reasonably verified, and the precise scheduling and efficient utilization of maintenance personnel are promoted; the source of emergencies is graded and dynamically compared, the time period arrangement is corrected in real time in combination with meteorological change records, and the duration of pest and disease inspections and role switching operations are refined, which helps to improve the efficiency of garden emergency disposal and dynamic response; according to dynamic scheduling instructions, the garden area inspection nodes are screened, and the soil nutrient monitoring values ​​and threshold ranges are checked, the water body inspection sequence and observation frequency are dynamically corrected, and the maintenance personnel scheduling fine-tuning and real-time information distribution are completed, so that the timeliness and effectiveness of the overall maintenance work are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the steps of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] See also Figure 1 The present invention provides a technical solution, a garden landscape engineering intelligent management method, comprising the following steps: 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 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. 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.

[0018] 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; 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.

[0019] The steps for obtaining basic element distribution information include: 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 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; Based on the coordinate association data, the origin of the coordinate system and the sequence of garden boundary points are verified, the misaligned values ​​are matched, adjusted and compared, regional coordinate alignment is performed, and basic element distribution information is generated.

[0020] Specifically, referring to the already divided garden area, when summarizing the meteorological monitoring values ​​of each station, first read the records of the average temperature, humidity and precipitation of each station on that day one by one, compare the temperature with the range between 0℃ and 90℃, and compare the precipitation with the range between 0mm and 500mm. If the temperature or precipitation of a 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 and the monthly average, so that the daily average is , the monthly average is m, the difference By calculating these differences, we can find the fluctuation range and determine whether it reaches the extreme value threshold. , represents the mean of the differences, represents the standard deviation of the difference, k is set empirically and can be obtained based on historical monitoring statistics. For example, In order to identify large fluctuations, the neural network model can be used to assist in the process of identifying extreme values. During the training phase, the model takes the daily and monthly difference data and the label information of whether extreme situations occur as input and labels, and sets the input layer to receive and the corresponding historical reference information, a two-layer hidden layer structure is adopted. The first layer contains 32 neurons and the second layer contains 16 neurons. The activation function is fixed to ReLU. The output layer uses the Sigmoid function to distinguish "extreme values" from "non-extreme values". During the training process, the batch size is 20, the learning rate is set to 0.001, and the optimization method is Adam. In each round of training, the predicted output and the known annotations are compared and back-propagated through the cross entropy loss. After completing about 100 rounds, the convergence state is obtained, and finally the new Input and obtain the result of whether it is an extreme value. Comprehensively compare the conditions of each measuring station to cross-summarize the difference level between the daily average and the monthly average and identify the corresponding extreme value fluctuations, thereby obtaining temporary monitoring comparison results.

[0021] According to the above temporary monitoring and comparison results, when comparing the soil moisture values ​​with the previously obtained meteorological data, it is necessary to first extract soil moisture records from historical samples. For example, the normal humidity range is 5% to 60%. If the reading is less than 5% or exceeds 60%, it is judged to be beyond the empirical range. At the same time, the recording date of the vegetation health parameters is checked item by item and matched with the above meteorological records. In this process, the image recognition method can be combined to judge the hedge trimming status. The specific method is to first grayscale the hedge image and extract the edge features, and then use the image pixel matrix as the input of the convolutional neural network. The convolutional network contains two convolutional layers and two fully connected layers. The convolution kernel size is fixed to , the stride is 1, and the labeled data of the complete and unpruned states are compared to construct a training set. During the training process, the annotation information of each image is read and mapped to the classification label. Iterative training is performed by minimizing the cross entropy loss function. The batch size is set to 32, the learning rate is 0.0005, and the optimization algorithm is Adam. After about 80 rounds of training, a stable classification model can be obtained. In the inference stage, the hedge image to be identified is input into the model, and the pruning state judgment is output. Next, when associating the ecological water body inspection records, the date and spatial coordinates corresponding to each inspection are matched with the soil moisture and vegetation health parameters extracted previously. If multiple inspections occur and the positions overlap, the observation timestamps are merged and the collection coordinates are compared. Finally, all the consistent data are summarized as the coordinate association result, thereby obtaining the coordinate association data.

[0022] Based on the coordinate association data obtained above, the longitude and latitude or plane coordinates of each boundary point can be checked when checking the origin of the coordinate system and the sequence of garden boundary points. If the distance error between any boundary point and the origin exceeds 1m or other empirically set deviation ranges, for example, As a benchmark, the coordinates are considered misaligned and need to be corrected. When matching and adjusting, the observed coordinates are compared one by one with the garden partition coordinates to obtain the misalignment amount. , and Respectively represent the x and y coordinates of the observation point used to calculate the distance error, and Respectively represent and observe the point and The x and y coordinates of the garden partition (or benchmark) points for paired comparison, if This indicates that the 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 reference. Alternatively, a linear regression-based method can be used to fit the collected coordinates to the known standard coordinates. The objective function of the fitting model can be: , Refers to the input coordinate value of the i-th sample point used in linear regression fitting (for example, a dimension value in the collected coordinates). Refers to the input value of the i-th sample point in the linear regression fitting The corresponding target coordinate value (e.g., the corresponding dimension value in the known standard coordinate), where and Represent the regression coefficients respectively. The fitting parameters can be obtained by minimizing the objective function for n coordinate samples. After the correction is completed, the points are re-matched point by point. If all errors are less than , the matching adjustment is considered complete. After this step, all coordinates are corrected to a unified reference system. Finally, the boundary range information of each area and the identified key coordinate point information are summarized to obtain the basic element distribution information.

[0023] The steps for obtaining the allocation matching results include: Based on the basic factor distribution information, compare the workload records of personnel 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 workload statistics of personnel, the skill tags are marked against the maintenance personnel scheduling demand list, the attributes of each position are 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 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 to generate allocation matching results.

[0024] Specifically, referring to the existing basic element distribution information, first read all personnel workload records and extract the working time data one by one. When reading, count the number of tasks of each work group one by one and record the group name, assigned task number and corresponding working time. If the working time exceeds the experience threshold, it will be marked with a specific mark. The experience threshold can be calculated based on the average working time of previous projects of the same type. For example, take the arithmetic mean M of the average daily working hours of all work groups in the reference project sample, and set a coefficient k in the calculation process to determine the degree of deviation, such as or Etc., suppose that in a certain statistics hours, if a group's daily working hours are greater than , it is judged that its working hours exceed the preset range. After the summary of all group task data is completed, the number of tasks of each group is split. For example, the group task volume is compared with 0 to 30. If the number of tasks of a group is higher than 30, 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 be grouped and compared according to needs to distinguish different types of operations. Finally, the data information such as the number of tasks and working hours of each group will be classified and counted to obtain the statistical information of personnel workload.

[0025] Referring to the workload statistics of personnel, the skill types of each job position are extracted from the maintenance personnel scheduling demand list and matched with the maintenance requirements one by one. In this process, the job attribute description is first read and the specific operation capabilities under the skill category are recorded, such as "hedge pruning skills" and "plant pest inspection skills". If "hedge pruning skills" appear in the maintenance personnel scheduling demand list and the skill has an operation level requirement, it is necessary to compare the corresponding level in the job attributes. If it is met, mark the job as matching this requirement and retain the available time period information. 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 position has been scheduled for 2 hours of other tasks in time period A, the remaining deployable time is 2 hours. After the attributes of all positions are compared with the scheduling requirements, the matching skill tags and the available time periods of each position are loaded into further time period allocation operations. In this operation, the pre-agreed working time limit will be followed, for example, no more than 8 hours a day. If a position has been scheduled for 6 hours of tasks, it must not exceed 2 hours when it is scheduled again. The allocation calculation is continuously performed on all positions to finally obtain the personnel time period allocation information.

[0026] Referring to the personnel time allocation information, the path data of the cleaning route is retrieved and the traffic level is evaluated according to the terrain, slope and possible obstacles of each route. When performing route difficulty screening, a machine learning model can be introduced to classify the terrain features. During the training phase, the model will collect the height, slope, surface material and traffic speed data of the known terrain as input, and use the route difficulty label as output to establish a multi-layer network structure for classification. For example, the input layer is set to contain four neurons to receive the height, slope, surface material and traffic speed respectively. The hidden layer can adopt a two-layer architecture. The first layer contains 16 neurons and the second layer contains 8 neurons. The activation function is fixed to ReLU, and the output layer is set to a two-category or three-category classification Softmax structure. During the training process, the difficulty label of the known route is used. The annotation is taken as the target, and the cross entropy loss function is used to measure the difference between the predicted result and the annotation. The back propagation iteration is performed with the Adam method with a learning rate of 0.001. After completing about 100 rounds of training, the training is stopped only when the observation accuracy is stable above a certain threshold. The classification model for reasoning is obtained. During reasoning, the height, slope and other features of each cleaning route are input into the model, and the classification results of the difficulty are output. Then, the final classification results of each route are marked with the pass level. If a route is shown to be of high difficulty, it is necessary to further verify it in combination with the priority of security patrols when arranging it. If the patrol priority is high, the route is forced to enter the emergency patrol sequence, otherwise the general arrangement is maintained. When all routes have completed such evaluations, the security patrol priorities are summarized and the final configuration information is output to generate the allocation matching results.

[0027] The steps for obtaining dynamic scheduling instructions include: Based on the allocation matching results, the sources of emergencies are monitored item by item, event types are collected and compared with event levels, and conflicts in the previous personnel scheduling information records are compared to generate emergency level comparison information; Based on the emergency level control information, refer to the meteorological change records to change the time schedule, revise the plant disease and insect pest inspection time and compare the existing task list, screen the impact range and priority order, and generate the revised time schedule data; Based on the revised time period scheduling data, the executors switch roles and assign them to designated areas, check the time period markings of the viewing routes, identify priority conflicts, and generate dynamic scheduling instructions.

[0028] 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, where level 1 represents a general event and level 5 represents a serious event. When making specific judgments, it is necessary to combine the keywords or associated quantitative parameters in the event description. If the scope of the damaged area in the event exceeds the pre-agreed benchmark value, the event level can be raised to a higher level. The benchmark value here can be determined based on the site size and past statistics. For example, in a park covering an area of ​​1,000 square meters, when the area of ​​the damaged area exceeds 100 square meters, the event level can be classified into level 3 or above, and if it exceeds 300 square meters, it can be raised to level 5. At the same time, the event types collected may include different types such as facility damage, sudden safety alerts or major natural disasters. When comparing event levels, it is also necessary to compare personnel scheduling information to determine whether there is a conflict. For example, a list of each maintenance personnel's on-duty time periods is established in hours. If a new emergency situation overlaps with the current personnel's shift schedule, the possible scheduling conflict is marked in the record. The maximum working hours per day for each person is usually set at 8 or 10 hours. This value is given by team management experience. When a conflict occurs, it can be decided whether the emergency situation needs to be handled immediately or whether temporary coordination is required based on the event level. When performing conflict detection, it is also necessary to verify whether any person has undertaken multiple emergency tasks in a short period of time. For example, if the same person is assigned more than two high-level events in a day, it is considered to be beyond the tolerance range and needs to trigger priority reallocation or personnel replacement. These monitoring processes read emergency records and shift schedules for item-by-item comparison, and list possible conflicts one by one. Finally, the event type, corresponding level, and whether there is a conflict are summarized to obtain emergency level comparison information.

[0029] Referring to the emergency level control information, first extract the corresponding data of each event level and the impact range and compare it with the meteorological change records. When comparing, you can set the weather condition range, such as comparing the temperature from 0°C to 45°C and the wind speed from 0 to 12 levels. If the forecast shows that the wind speed can reach level 8 or above during the emergency handling period, it is necessary to adjust the original arrangement. For example, when the event level is greater than 3 and the wind speed is predicted to be level 8, then directly postpone some outdoor inspections or repair time periods, and then correct the plant pest and disease inspection time. When correcting, first read the time period information related to pest and disease inspection in the existing task table, and set a pest and disease inspection benchmark time according to the reference literature or existing experience values ​​of the event level and pest and disease risk. For example, the daily inspection benchmark is 2 hours. If the emergency level is 4 or 5, Then you can add 1 to 2 hours of patrol time. If the scope caused by pests and diseases exceeds the statistical benchmark, for example, the number of vegetation affected by pests and diseases is greater than 50, then add at least 30 minutes of patrol time. When these adjustment operations are completed, compare the new patrol time with other established tasks. If it is found that the time period conflicts or exceeds the maximum working hours of a single day, a secondary allocation is required. When allocating specifically, you can also use a cross-checking method for each time period, and check whether there are arrangements for the morning, afternoon or night time periods. If there are multiple tasks in the same time period and they are all high priority, they need to be re-weighed in combination with the event level and patrol urgency. If the conflict still cannot be eliminated, the low-priority tasks will be postponed. After all adjustments are completed, the meteorological records, event levels and patrol time periods are associated and the final allocation is marked to obtain the revised time period arrangement data.

[0030] By referring to the revised time period scheduling data, you can first check whether the skills and current roles of each maintenance personnel meet the latest scheduling requirements. When performing personnel role switching, you need to first read the skill category and role allocation comparison table. For example, some personnel have vegetation pruning skills and routine inspection skills, and some personnel have water body monitoring skills and safety patrol skills. If it is found in the revised time period scheduling data that there are multiple vegetation pruning needs in a period, some personnel with patrol skills but also vegetation pruning skills can be temporarily switched to roles. When assigned to designated areas, they are first marked according to the area number and urgency. For example, for areas with an emergency level of 5, priority is given to arranging more than 2 personnel with corresponding For areas with level 3 or below, the number of skilled personnel can be reduced to 1 person and some time periods can be reserved for other tasks. Then the time period marks of the viewing routes are checked and it is retrieved whether there is an overlap in the same time period allocated to both viewing activities and pest inspections. If more than two high-priority activities are marked on the same route within the same hour, it is considered a conflict and needs to be adjusted again. If there are many conflicts, the revised time period arrangement data can be further referred to and the remaining free time of each person can be checked for reallocation. After multiple rounds of inspections are completed and it is confirmed that all allocations meet the requirements of skills and time periods, the latest allocation situation can be summarized and output to generate dynamic scheduling instructions.

[0031] The steps for obtaining real-time allocation information include: Based on dynamic scheduling instructions, the inspection route nodes are screened against 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 is fine-tuned, the time periods are divided into blocks and the handover nodes are reset to generate real-time allocation information.

[0032] Specifically, referring to the dynamic scheduling instructions, first read the coordinates of the garden area and set a basic coordinate index table for each area. From the index table, identify each potential inspection node point by point. When identifying the nodes, you can define several node categories 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 trail safety inspection node as P. If an area overlaps with two or more types of nodes, compare their priorities and spatial positions in the dynamic scheduling instructions one by one. If the priorities conflict, the node categories must be reallocated based on the management experience value. The management experience value can be used to count similar scenes based on historical records. For example, in more than 10 similar scenes, if the top three nodes in the inspection task are all lawn maintenance nodes, then the subsequent water body observation nodes can be listed as low priority, and then traverse in coordinate order. If the distance between the coordinates of any node and the previous node is greater than a predetermined benchmark value , for example, if 30 meters or 50 meters is taken, the node is judged to be discontinuous 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 the benchmark value, it is regarded as a continuous node of the same inspection path. When all nodes are positioned, the type of each node is checked. If it is a lawn maintenance node, the corresponding required equipment and personnel are marked. If it is a water body observation node, the maintenance requirements are used as auxiliary information, and the passage sequence between the node and the next adjacent node is numbered. If a passage sequence is found to be repeated or crosses too many nodes, the section distance needs to be checked again. For example, if the number of nodes crossed exceeds 3 and the height difference of each node in the adjacent coordinate system is greater than 1 meter, it is regarded as a section with a larger slope that needs to be re-planned. After the planning is completed, all nodes are numbered and the overall inspection route node information is output.

[0033] Referring to the node information of the inspection route, first select all nodes related to soil nutrient detection from the node type and read their coordinate positions, then compare the values ​​in the soil nutrient monitoring records, and compare them point by point with the pre-established upper and lower threshold intervals. 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 an urgent deficiency. If it exceeds 10%, it is marked as a high concentration. When the nutrient monitoring values ​​of all nodes are compared with the interval one by one, a list of nodes that are deficient or high 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 based on the number. If the number of clustered points is too high, the observation frequency is determined based on the number. If the number is more than 5, at least two observations are arranged on the same day. Otherwise, if the number is between 1 and 3, only one observation is arranged. At the same time, the ecological water body inspection sequence is also corrected. The nodes marked as water body observations in the inspection route node information are compared with the soil nodes that are lacking or too high. If both water body observations and soil nutrients 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 be taken from the average observation frequency of 1 time / day in historical experience. If special circumstances are encountered, additional observations are added. After the above comparison is completed, the revised observation frequency list can be obtained and combined with the existing inspection route sequence to complete the rearrangement of all observation time periods, and finally the revised monitoring sequence is obtained.

[0034] Referring to the revised monitoring sequence, the maintenance personnel's shift arrangements are checked one by one according to the number of people and skill types required for each observation period. If there are two or more personnel with the same specific skills in a certain period but the number of inspection points is too small, it is adjusted to retain only one person with the required skills and leave the other person's time slot empty for other needs. If there is still a lack of personnel who can cope with the soil nutrient deviation in the adjacent period, the excess personnel in the previous period will be assigned here. The specific process of dividing the time periods can divide the 24 hours of a day into multiple blocks, such as Block A: 8:00 to 12:00, Block B: 12:00 to 16:00, Block C: 1 6:00 to 20:00, Block D: 20:00 to 24:00, the available time of each maintenance personnel is cumulatively compared. If someone has invested 3 hours of observation tasks in Block A and has 1 hour left, when the new inspection demand is more than 2 hours, it cannot be fully matched, and it is necessary to re-search the free blocks of other personnel. If there is still no match, see whether the inspection demand can be split. If it cannot be split, the time period can only be redefined, and the handover nodes are adjusted to meet the observation needs of key nodes. After completing the allocation of all time period blocks and corresponding maintenance personnel and confirming that there is no duplicate occupancy or excessive time, the latest scheduling results are integrated and summarized to generate real-time allocation information.

[0035] The steps to obtain the ecological footprint load value include: Based on 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 soil degradation comparison results; Based on the results of soil degradation control, review the vegetation growth indicators to 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 pruning cycle are checked and the error distance is recorded. The time consumption of the cleaning route path screening is recorded and the ecological footprint load value is generated.

[0036] Specifically, referring to the real-time distribution information, first extract the soil-related data recorded in the recent inspections of different areas and integrate them into items such as soil nutrient consumption rate and inherent structure loss percentage. Then compare these items with the previous statistical records. When comparing, it is necessary to review the previous status of the same measuring point one by one. For example, calculate the current soil structure loss percentage of each measuring point with its average value of the past month. If the loss percentage deviation exceeds the critical value set in advance based on historical experience For example, the average loss level can be calculated to be about 10% in several similar garden projects, and an adjustable coefficient k is added to determine obvious deviations. If the loss percentage of a certain measuring point is greater than , it is considered that the loss has increased significantly. Similarly, if it is less than The loss is considered to have eased. After the loss comparison is completed, a comprehensive judgment is made based on 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, the soil loss differences in each region are marked, and low-level marks are given to areas with smaller difference values, and medium or high-level marks are given to areas with higher difference values. At the same time, if it is found that the loss level of some areas exceeds the above critical value for multiple consecutive times within a month, it is necessary to additionally mark it as an emergency level. Finally, the marking of these areas is reviewed in parallel with the previous loss trend curve. If the two are highly consistent, the existing marking is retained. If there is an inconsistency, a manual inspection link is added during the comparison, such as checking whether there is a misalignment between the data collection date and the inspection date. If there is a misalignment, the reference benchmark value is adjusted and calculated again. When all data have been verified, the soil degradation levels marked by the regions are summarized to generate soil degradation comparison results.

[0037] Referring to the soil degradation control results, when reviewing the vegetation growth indicators, first read the records of vegetation types, average height and coverage in each area, and compare the recorded average height with the established range. For example, a height of 10 cm to 50 cm is considered as the seedling stage, and a height above 50 cm to 1 meter is considered as the mid-growth stage, and a height above 1 meter is considered as the adult stage. If more than 70% of the plants in a community are less than 10 cm, they are uniformly classified as seedling communities. If a considerable number of plants in the same area are more than 1 meter, it can be characterized that the community growth is not synchronized. At this time, it is necessary to divide each community and establish different growth stage markers, and then combine the statistics of vegetation coverage to judge. Density differences can be determined by measuring coverage, for example, communities with coverage below 30% are marked as sparse, and those above 70% are marked as dense. After the stage division and density labeling of the community are obtained, the soil degradation level in the previous statistics is compared. If the soil degradation level is high and the vegetation community is in the seedling stage, the area is recorded as a key concern. If the vegetation height shows abnormal values ​​that do not conform to the corresponding growth stage, such as only a few plants in the same community are far more than 1 meter in height but the trunk is thin, it is marked as abnormal growth and the specific coordinates are recorded. When the growth stage information and abnormal areas of all communities are located, they are formed into a growth stage and abnormal distribution comparison table and summarized to generate vegetation growth comparison information.

[0038] With reference to the vegetation growth comparison information, when checking the hedge pruning cycle, it is necessary to compare the pruning records of each area on the time axis. For example, if the regular pruning cycle is 30 days, if the inspection is more than 40 days away from the last pruning, it is marked as overdue pruning, and if the distance is less than 20 days, it is judged as frequent pruning. At the same time, it is necessary to measure the actual height and shape of the hedge and compare it with the pruning benchmark value. For example, if the benchmark height of a common hedge is set at 70 cm, when the average height recorded exceeds 70 cm by more than 10 cm or the height deviation of some plants exceeds 15 cm, then in the error distance The data is recorded for subsequent analysis. Next, the time consumed when screening the cleaning routes is counted section by section. If a route contains vegetation pruning points or large areas of fallen leaves, the time consumed may be 5 to 10 minutes longer than other routes of the same length. If it exceeds 10 minutes, an additional mark is made. By recording the time consumed by these paths and combining them with the existing hedge pruning cycle data, the potential burden of each area can be evaluated from multiple dimensions. When all records are completed, the hedge pruning cycle information, error distance, and time consumption results of each cleaning route are summarized to generate an ecological footprint load value.

[0039] The steps to obtain the adaptive layout solution include: 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 marginal areas are listed and the tillage layer conditions are extracted to generate landscape structure comparison information. 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; 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.

[0040] 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.

[0041] 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 are compared in sequence, check whether there are multiple boundary segments intersecting. If three or more vertices overlap continuously, it is determined to be a large-scale colinear segment. At this time, compare the preset area types to see whether they have the same purpose. If the purposes are the same, they can be directly merged. If the purposes are different, the conflicts are recorded according to the original classification. Finally, all overlapping boundary displacements are listed one by one and compiled into the corresponding coordinate references. At the same time, the new vegetation area boundary is corrected and the water body boundary that has been merged or maintained independently is marked in it. After counting without omissions, all merged and marked coordinate distribution records are integrated to generate vegetation and water body calibration information.

[0042] Referring to the vegetation and water body calibration information, when comparing the location coordinates of the buffer ecological island, it is necessary to first read the defined ecological island nodes, and compare each of the nodes with the calibrated vegetation and water body distribution. If the coordinates of an ecological island node are less than 10 meters away from the water boundary, it is determined that there is an adjacent relationship. In this case, the connecting channel can be adjusted to avoid overcrowded areas. If the node coordinates are more than 50 meters away from the water body or vegetation boundary, it is considered to be non-overlapping and the original channel arrangement can be retained. Then check the coordinate sequence of each connecting channel. If the channel passes through any high-level security patrol area, it will be updated in the patrol priority list. For example, within the preset security level range of 1 to 5, if the area is 4 or 5, the patrol priority will be raised to the front. If it is only 1 or 2, the original schedule can be left unchanged. After all channels are compared, the new patrol order list is summarized and intersected with the previous personnel scheduling records. If a channel increases the patrol frequency due to safety needs, the patrol frequency of other low-priority sections will be reduced accordingly. Finally, the location coordinates, channel adjustments and priority updates are centrally recorded to generate an adaptive layout plan.

[0043] The present invention provides a smart management system, including: 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.

[0044] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls 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 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 of 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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