A progress management system for a green plant rental and display task

Abstract

The present application relates to the technical field of green plant renting and placing progress management. The present application relates to a progress management system for green plant renting and placing tasks. The system comprises a renting and placing task acquisition unit, a health analysis unit, a health adjustment unit, a date setting unit and a date updating unit. The renting and placing task acquisition unit is used to acquire green plant renting and placing tasks, extract green plant varieties and placing positions, placing photos and placing times of the green plant renting and placing tasks. The health analysis unit is used to screen historical green plant renting and placing tasks according to green plant varieties. According to parameters such as health attenuation range and initial health value, the health analysis unit automatically calculates photo feedback days and personnel inspection days. The date updating unit adjusts subsequent plans according to actual feedback photos. This on-demand adjustment mode ensures the timeliness of green plant health monitoring, avoids resource waste and balances maintenance effect and management cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of green plant rental display progress management, in particular to a progress management system for green plant rental display tasks. BACKGROUND

[0002] In the green plant rental industry, the progress management of green plant rental display tasks is the core link to ensure the quality of rental services and improve customer satisfaction. The management of green plant rental display tasks relies on the green plant rental management system to record basic tasks, and the core function is to archive the basic information of rental display tasks.

[0003] However, in the existing technology, the health management of green plants relies on the experience of maintenance personnel, and the state of green plants is observed through regular inspection, which is difficult to predict health changes combined with historical data. Since the health judgment depends on experience, it is not possible to predict the health decline trend in advance, and often intervention is made only after the green plants show obvious problems, increasing the replacement rate of green plants and maintenance costs.

[0004] In the inspection plan, a fixed cycle is often used without considering the differences in green plant varieties and display environments, which may lead to waste of inspection resources for low-risk tasks or delayed inspection for high-risk tasks. In order to reduce this situation, a progress management system for green plant rental display tasks is proposed. SUMMARY

[0005] The purpose of the present application is to provide a progress management system for green plant rental display tasks to solve the problems raised in the background.

[0006] To achieve the above purpose, a progress management system for green plant rental display tasks is provided, which includes a rental display task acquisition unit, a health analysis unit, a health adjustment unit, a date setting unit and a date updating unit.

[0007] The rental display task acquisition unit is used to acquire green plant rental display tasks, extract green plant varieties and display locations, display photos and display times of green plant rental display tasks.

[0008] The health analysis unit is used to filter historical green plant rental display tasks according to green plant varieties, extract display photos at different time nodes in the filtered historical green plant rental display tasks, and then perform health value trend analysis according to the display photos at different time nodes.

[0009] The health adjustment unit is used to perform multi-type analysis on the display location, assign the health value trend to the corresponding type according to the analysis result, and adjust the health value trend of the same type according to the display location and display photo obtained by the rental display task acquisition unit.

[0010] The date setting unit is used for initial health value analysis and risk health value analysis according to the plant variety and the placement photo, and then the health decay range is combined with the initial health value and the risk health value to set the green plant photo feedback day, and the personnel inspection day is set according to the photo feedback day;

[0011] The date updating unit is used for collecting the placement photo from the customer according to the photo feedback day, and updating the photo feedback day according to the collected placement photo.

[0012] As a further improvement of the technical solution, the rent placement task acquisition unit acquires the green plant rent placement task from the green plant rent management system in real time through connection with the green plant rent management system, and needs to upload the green plant variety and the placement position, the placement photo and the placement time to the green plant rent management system during the process of the green plant rent placement task, and sends a reminder to the green plant rent management system when the green plant rent placement task lacks data.

[0013] As a further improvement of the technical solution, the health analysis unit includes a task screening module and a numerical trend analysis module;

[0014] The task screening module is used for extracting the green plant variety of the green plant rent placement task acquired by the rent placement task acquisition unit, acquiring the green plant variety of the green plant rent placement task, and then extracting the historical green plant rent placement task related to the green plant variety in the green plant rent management system.

[0015] The numerical trend analysis module extracts the placement photo of the historical green plant rent placement task, determines the time node of uploading the placement photo, then performs health value analysis on the placement photo, and combines the health value with the time node to calculate the health value trend, and acquires the health value trend of the historical green plant rent placement task.

[0016] As a further improvement of the technical solution, the health analysis unit only screens the green plant rent placement task that has completed the progress when screening the historical green plant rent placement task, and the green plant rent placement task that has not completed the progress is acquired by the rent placement task acquisition unit.

[0017] The completed progress is that the lease time has expired and no renewal has been made.

[0018] As a further improvement of the technical solution, the health adjustment unit includes a type matching module and a range adjustment module;

[0019] The type matching module is used for setting the placement position type as an excellent placement area, a good placement area and a normal placement area, and then performing multi-type analysis on the placement position to determine the placement position type matched with the health value trend of the placement position;

[0020] The range adjustment module performs similarity analysis on the placement position and the placement photo in the same placement position type obtained by the placement task acquisition unit, obtains the similarity of the green plant placement task and the historical green plant placement task of the same type, and obtains the health attenuation range of the green plant placement task.

[0021] A similarity threshold is set, historical green plant placement tasks with a similarity greater than the similarity threshold are extracted, and then the health value trend corresponding to the historical green plant placement task is combined with the similarity to perform health attenuation range adjustment analysis, thereby obtaining the health attenuation range of the green plant placement task.

[0022] As a further improvement of the technical solution, the date setting unit includes an initial analysis module and a date setting module.

[0023] The initial analysis module is configured to perform initial health value analysis on the placement photo combined with the green plant variety, to obtain the initial health value corresponding to the green plant placement task, and to perform risk health value analysis on the placement photo combined with the green plant variety, to obtain the risk health value corresponding to the green plant placement task.

[0024] The date setting module is configured to set the green plant photo feedback day by combining the health attenuation range obtained by the range adjustment module with the initial health value and the risk health value, to set the inspection time according to the green plant variety, and to set the personnel inspection day by combining the inspection time with the green plant photo feedback day.

[0025] As a further improvement of the technical solution, when setting the green plant photo feedback day, the date setting module calculates the minimum value of the health attenuation range.

[0026] As a further improvement of the technical solution, the date updating unit includes a feedback collection module and a date adjustment module.

[0027] The feedback collection module is configured to collect the placement photo from the customer on the green plant photo feedback day through the green plant lease management system, to perform health value analysis on the placement photo fed back by the customer, to perform health attenuation value analysis combined with the time node, and to compare the health attenuation value with the health attenuation range obtained by the range adjustment module.

[0028] When the health attenuation value is greater than or equal to the median value of the health attenuation range, the minimum value of the health attenuation range is adjusted upward.

[0029] When the health attenuation value is less than the median value of the health attenuation range, it remains unchanged.

[0030] The date adjustment module is configured to update the next photo feedback day according to the comparison result of the feedback collection module.

[0031] As a further improvement of the technical solution, the date updating unit collects the placed photos from the customer, and when the customer feeds back the placed photos, personnel inspection is not required, when the customer does not feed back the placed photos, and the time reaches the personnel inspection day, personnel is dispatched to collect the placed photos, and then the photo feedback is updated according to the placed photos collected by the personnel.

[0032] Compared with the prior art, the present application has the following advantages:

[0033] 1. In the progress management system for the green plant rental and placement task, the photo feedback day and the personnel inspection day are automatically calculated according to the health decay range, the initial health value and other parameters, and the date updating unit adjusts the subsequent plan according to the actual feedback photos. This on-demand adjustment mode not only ensures the timeliness of green plant health monitoring, but also avoids resource waste and balances the maintenance effect and management cost.

[0034] 2. In the progress management system for the green plant rental and placement task, the rental and placement task acquisition unit establishes real-time data interaction with the green plant rental management system, collects basic data such as green plant varieties and placement positions from the task acquisition stage, returns dynamic data in the execution stage, and automatically reminds when data is missing, thereby reducing the risk of data gaps, improving the standardization of task execution and the accuracy of data, and providing a reliable data basis for subsequent management decisions.

[0035] 3. In the progress management system for the green plant rental and placement task, the health value trend is generated by screening historical completed tasks of the same variety, combining image recognition and health evaluation algorithm, and then the health adjustment unit further determines the health decay range of the current task by combining the placement position type and similarity analysis, thereby providing a scientific basis for health risk prediction and avoiding the lag of traditional maintenance, making the maintenance intervention more targeted. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The overall structure of the present application is shown in the figure. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0038] Please refer to Figure 1 The present embodiment aims to provide a progress management system for green plant rental and placement task, which comprises a rental and placement task acquisition unit, a health analysis unit, a health adjustment unit, a date setting unit and a date updating unit.

[0039] The rental task acquisition unit is configured to acquire a green plant rental task, extract a green plant variety and a placement position, a placement photo, and a placement time of the green plant rental task, and acquire a green plant rental task of the same green plant variety in the green plant rental management system.

[0040] The rental task acquisition unit acquires the green plant rental task from the green plant rental management system in real time by connecting the green plant rental management system (establishing a data interaction channel as a basis for acquiring task data in real time), and uploads the green plant variety and the placement position, the placement photo, and the placement time to the green plant rental management system during the process of the green plant rental task. When the green plant rental task lacks data, the rental task acquisition unit sends a reminder to the green plant rental management system.

[0041] In the execution stage of the green plant rental task, according to the task promotion node (such as completion of placement and regular maintenance), the rental task acquisition unit returns dynamic data to the green plant rental management system in a standard format, including actual placement photos, final placement time confirmation, green plant variety checking information, and the like, to ensure that the task data is continuously updated in the system.

[0042] The rental task acquisition unit continuously checks the acquired and uploaded task data, and when data loss is detected, the rental task acquisition unit sends a data supplement reminder to the green plant rental management system according to a preset reminder rule, and notifies the on-site executor to improve the data.

[0043] The health analysis unit is configured to screen historical green plant rental tasks according to a green plant variety, extract placement photos of different time nodes in the screened historical green plant rental tasks, and then perform health numerical trend analysis according to the placement photos of different time nodes.

[0044] The health analysis unit includes a task screening module and a numerical trend analysis module.

[0045] The task screening module is configured to extract a green plant variety of a green plant rental task acquired by the rental task acquisition unit, acquire the green plant variety of the green plant rental task, and then extract historical green plant rental tasks (completed rental tasks of the same green plant variety) related to the green plant variety in the green plant rental management system.

[0046] The health analysis unit only screens green plant rental tasks that have completed the progress when screening the historical green plant rental tasks, and acquires green plant rental tasks that have not completed the progress by the rental task acquisition unit.

[0047] The completion progress is that the rental time has expired and no renewal has been made.

[0048] The numerical trend analysis module extracts the placement photos of the historical green plant rental and placement tasks, determines the time nodes of the placement photo uploading, then performs health numerical analysis on the placement photos, and performs health numerical trend calculation on the health numbers combined with the time nodes to obtain the health numerical trend of the historical green plant rental and placement tasks.

[0049] Each placement photo is analyzed by using image recognition and green plant health evaluation algorithms (such as according to leaf color, integrity, plant morphology, etc.), and a health number is calculated for each photo corresponding to the green plant to quantify the health status of the green plant at that time.

[0050] The health numbers in each historical task are associated with the corresponding time nodes to form a series of "time-health number" data pairs, and the trend of the data changing over time is calculated, such as whether the health number is continuously stable, gradually decreasing, or fluctuating, etc., to ultimately obtain the complete health numerical trend of the historical green plant rental and placement task.

[0051] The health adjustment unit is used to perform multi-type analysis on the placement position, and according to the analysis result, the health numerical trend is combined with the placement position to perform corresponding type allocation, and the health numerical trend of the same type is combined with the placement position and the placement photo obtained by the rental and placement task acquisition unit to perform health decay range adjustment analysis.

[0052] The health adjustment unit includes a type matching module and a range adjustment module.

[0053] The type matching module is used to set the placement position type as an excellent placement area, a good placement area, and a normal placement area, and then perform multi-type analysis on the placement position to determine the placement position type matched by the health numerical trend.

[0054] Excellent area: meets all key growth conditions (such as sufficient light, suitable temperature and humidity);

[0055] Good area: meets most conditions, but has 1-2 secondary limiting factors;

[0056] Normal area: there are main limiting factors affecting growth (such as insufficient light, poor ventilation);

[0057] The placement position of the current green plant rental and placement task is analyzed from multiple dimensions (such as light conditions, space ventilation, surrounding temperature and humidity environment, whether there is shielding, etc.), the environmental feature data of the placement position is extracted, and then the extracted placement position environmental features are compared with the environmental feature standards of the pre-set excellent, good, and normal three types of areas one by one, and the placement position type matched by the placement position is determined by judging which type of area the environmental features meet.

[0058] The range adjustment module performs similarity analysis on the placement position and the placement photo in the same placement position type according to the placement position obtained by the placement task acquisition unit, obtains the similarity of the green plant placement task and the historical green plant placement task of the same type, and performs similarity analysis on the placement position and the placement photo in the same placement position type according to the placement position obtained by the placement task acquisition unit, obtains the similarity of the green plant placement task and the historical green plant placement task of the same type;

[0059] A similarity threshold is set, historical green plant placement tasks with a similarity greater than the similarity threshold are extracted, and then the health value trend corresponding to the historical green plant placement task is combined with the similarity to perform health decay range adjustment analysis, to obtain the health decay range of the green plant placement task, and the specific steps are as follows:

[0060] The same type of task is screened out from the historical task library of the green plant leasing management system according to the placement position type (excellent, good, normal) determined in the foregoing;

[0061] Feature extraction: the environmental features (such as light, ventilation, etc.) of the placement position and the initial state features (such as plant morphology, leaf number and color, etc.) of the green plants presented in the placement photo of the current green plant placement task are extracted; at the same time, the corresponding position environmental features and the initial state features of the green plants in the historical photos of each screened historical task of the same type are extracted;

[0062] Similarity calculation: the comprehensive similarity of the current task and each historical task of the same type in the position environment and the initial state of the green plants is calculated respectively through a preset similarity algorithm, to obtain the similarity value of the current task and each historical task;

[0063] Threshold screening: a similarity threshold (0.8) is set, and historical tasks with a similarity value greater than the threshold are screened out from the historical tasks of the same type as effective reference tasks;

[0064] Decay range adjustment: for the screened effective historical tasks, their respective health value trends are obtained, the similarity of the current task and these historical tasks is combined, and the health decay range of the historical tasks is adjusted through a weighted calculation method, to finally obtain the health decay range of the current green plant placement task, and the formula is as follows:

[0065] ;

[0066] Wherein, S i is the similarity of the current task T c and the historical task T hi , Sim is the similarity algorithm, T c is the current green plant placement task to be analyzed, and T hi is a single historical task in the set of historical green plant placement tasks of the same type of placement position;

[0067] ;

[0068] wherein R c is the health decay range, R hi is the historical task T hi corresponding health decay range, and m is the number of historical tasks satisfying the similarity threshold condition.

[0069] The date setting unit is configured to perform initial health value analysis and risk health value analysis according to the plant variety and the placement photo, and then set the green plant photo feedback date in combination with the initial health value and the risk health value, and set the personnel inspection date according to the photo feedback date;

[0070] The date setting unit includes an initial analysis module and a date setting module.

[0071] The initial analysis module is configured to perform initial health value analysis on the placement photo in combination with the plant variety, to obtain the initial health value corresponding to the green plant rental placement task, and perform risk health value analysis on the placement photo in combination with the plant variety, to obtain the risk health value corresponding to the green plant rental placement task.

[0072] A pre-trained green plant health analysis model (which is trained based on a large number of photo data of green plants of the same variety in different health states) is called, and the placement photo is input into the model, in combination with the health characteristics (such as the color and shape standard of the leaves of a green plant of a certain variety when healthy) corresponding to the green plant variety, to analyze the leaf completeness, color depth, and plant straightness of the green plant in the photo, and calculate the initial health value, which is used to quantify the current health state of the green plant.

[0073] Similarly, based on the green plant variety, a risk assessment model is constructed or called, which considers the health risks (such as leaf burn risk of a succulent plant under strong light) that may occur to green plants of the same variety under different environments and maintenance conditions, in combination with the current state of the green plant (such as whether there are initial burn spots on the leaves) presented by the placement photo, the placement location, and environmental correlation information (which can assist in judging potential risks, and if the photo is combined with a location in a strong light area, the risk is higher), to analyze the possibility of health problems that may occur to the green plant in the future due to factors such as variety characteristics, current state, and environment, and quantify the risk health value, which indicates the degree of health risk faced by the green plant, and the formula is as follows:

[0074] ;

[0075] wherein H init is the initial health value, which is the current green plant health quantification result output, M init is the initial health analysis model, which internally integrates the same variety green plant health characteristic recognition and quantification algorithm, P is the placement photo, and V is the green plant variety.

[0076] ;

[0077] H = H + Hr risk Hr is the risk health value, the output of the future health risk quantification result of the green plant, M risk Hr is the risk health analysis model, which integrates the risk characteristics of the variety, the current state and the environmental risk assessment logic.

[0078] The date setting module is used to set the green plant photo feedback day by combining the health attenuation range obtained by the range adjustment module with the initial health value and the risk health value, and then set the inspection time according to the green plant variety, and set the personnel inspection day by combining the inspection time with the green plant photo feedback day.

[0079] When setting the green plant photo feedback day, the date setting module calculates with the lowest value of the health attenuation range.

[0080] According to the lowest value of the health attenuation range, the initial health value and the risk health value are combined to calculate the time interval from the current to the risk value that the green plant health value may reach, and the date corresponding to this time interval is set as the green plant photo feedback day;

[0081] If the initial health value is 80, the risk health value is 50, and the lowest value of the health attenuation range is 3 per day, then from 80 to 50 requires (80-50) ÷ 3=10 days, and 10 days later is set as the photo feedback day, reminding to collect photos to check health;

[0082] According to the green plant variety, refer to the regular maintenance inspection cycle of the variety of green plants (such as 20 days for succulent plants and 15 days for green lily plants), set the preliminary inspection time interval, and combine the preliminary set inspection time with the already determined green plant photo feedback day to adjust and determine the final personnel inspection day;

[0083] For example, 10 days later is the photo feedback day, and the corresponding client for rent is a succulent plant, then 10+20=30, 30 days later is the personnel inspection day, and if the client has feedback the photo feedback day, the personnel does not need to perform inspection.

[0084] The date updating unit is used to collect the display photos from the client according to the photo feedback day, and update the photo feedback day according to the collected display photos.

[0085] The date updating unit includes a collection feedback module and a date adjustment module;

[0086] The collection feedback module is used to collect display photos from the client on the green plant photo feedback day through the green plant lease management system, then analyze the health value of the display photos feedback by the client, and combine the time node to analyze the health attenuation value, and compare with the health attenuation range obtained by the range adjustment module;

[0087] When the health attenuation value is greater than or equal to the median of the health attenuation range, the minimum value of the health attenuation range is adjusted upwards, and the formula is as follows:

[0088] ;

[0089] Wherein, is the adjusted minimum value of the health attenuation range, R min is the minimum value of the health attenuation range, and delta is the adjustment step (such as 1);

[0090] When the health attenuation value is less than the median of the health attenuation range, it remains unchanged, and the formula is as follows:

[0091] .

[0092] The date adjustment module is used to update the next photo feedback date according to the comparison result of the collection feedback module;

[0093] According to the adjustment result of the attenuation range, the next green plant photo feedback date is recalculated. If the attenuation range is adjusted, the new minimum value of the attenuation range is used to calculate the next feedback date in combination with the current health value and the risk health value. If it is not adjusted, the original minimum value of the attenuation range is used to calculate, and the date is updated, and the formula is as follows:

[0094] ;

[0095] Wherein, D next is the next green plant photo feedback date, D now is the current date, the time starting point of the next feedback date is calculated, H current is the current health value, and the health value obtained by analyzing the customer feedback photo.

[0096] The date updating unit collects the display photo when the customer feedbacks the display photo, and personnel inspection is not required. When the customer does not feedback the display photo and the time reaches the personnel inspection date, personnel are dispatched to collect the display photo, and then the photo feedback is updated according to the display photo collected by the personnel.

[0097] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above examples, and the above examples and descriptions in the specification are only preferred examples of the present application, and are not intended to limit the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A progress management system for green plant rental tasks, characterized in that: It includes a rental task acquisition unit, a health analysis unit, a health adjustment unit, a date setting unit, and a date update unit; The plant rental task acquisition unit is used to acquire plant rental tasks and extract the plant species, placement location, placement photos, and placement time of the plant rental tasks. The health analysis unit is used to screen historical plant rental tasks based on plant varieties, extract placement photos at different time points in the screened historical plant rental tasks, and then perform health value trend analysis based on the placement photos at different time points. The health adjustment unit is used to perform multi-type analysis on the placement location, and to assign the corresponding type based on the analysis results and the health value trend in combination with the placement location. At the same time, the health value trend of the same type is combined with the placement location and placement photos obtained by the rental task acquisition unit to perform health decay range adjustment analysis. The health adjustment unit includes a type matching module and a range adjustment module; The type matching module is used to set the placement location type as excellent placement area, good placement area and normal placement area, and then perform multi-type analysis on the placement location to determine the placement location type that matches the health value trend. The range adjustment module performs similarity analysis on the same placement location type based on the placement location and placement photos obtained by the rental task acquisition unit, and obtains the similarity between the green plant rental task and the historical green plant rental tasks of the same type. Set a similarity threshold, extract historical plant rental tasks with similarity greater than the similarity threshold, and then combine the health value trend of the historical plant rental tasks with the similarity to conduct a health decay range adjustment analysis to obtain the health decay range of the plant rental tasks. The date setting unit is used to perform initial health value analysis and risk health value analysis based on the plant species and placement photos. Then, it combines the health decay range with the initial health value and risk health value to set the plant photo feedback date, and at the same time, it sets the personnel inspection date based on the photo feedback date. The date setting unit includes an initial analysis module and a date setting module; The initial analysis module is used to perform initial health value analysis by combining the placement photos with the plant varieties to obtain the initial health value corresponding to the plant rental task. At the same time, it also performs risk health value analysis by combining the placement photos with the plant varieties to obtain the risk health value corresponding to the plant rental task. The date setting module is used to set the green plant photo feedback date by combining the health decay range obtained by the range adjustment module with the initial health value and the risk health value, and then set the inspection time according to the green plant variety. At the same time, the inspection time is combined with the green plant photo feedback date to set the personnel inspection day. The date update unit is used to collect placement photos from customers based on the photo feedback date, and update the photo feedback date based on the collected placement photos.

2. The progress management system for green plant rental tasks according to claim 1, characterized in that: The plant rental task acquisition unit connects to the plant rental management system to obtain plant rental tasks in real time. During the process of the plant rental task, the unit needs to upload the plant species, placement location, placement photos, and placement time to the plant rental management system. When the plant rental task lacks data, the rental task acquisition unit sends a reminder to the plant rental management system.

3. A progress management system for green plant rental tasks according to claim 1, characterized in that: The health analysis unit includes a task screening module and a numerical trend analysis module; The task filtering module is used to extract the plant varieties from the plant rental tasks obtained by the plant rental task acquisition unit, obtain the plant varieties of the plant rental tasks, and then extract the historical plant rental tasks related to the plant varieties from the plant rental management system. The numerical trend analysis module extracts placement photos from historical plant rental tasks, determines the time nodes when the placement photos were uploaded, performs health value analysis on the placement photos, and calculates the health value trend by combining the health value with the time nodes to obtain the health value trend of historical plant rental tasks.

4. A progress management system for green plant rental tasks according to claim 1, characterized in that: When the health analysis unit filters historical plant rental tasks, it only filters plant rental tasks that have been completed. Plant rental tasks that have not been completed are obtained by the rental task acquisition unit. The completion status is that the lease term has expired and no renewal has been made.

5. A progress management system for green plant rental tasks according to claim 1, characterized in that: When setting the date for green plant photo feedback, the date setting module calculates based on the lowest value of the health decay range.

6. A progress management system for green plant rental tasks according to claim 1, characterized in that: The date update unit includes a data collection and feedback module and a date adjustment module; The data collection and feedback module is used to collect photos of the plants from customers on the day of plant photo feedback through the plant rental management system. Then, it performs health value analysis on the photos of the plants provided by customers, and performs health decay value analysis in combination with the time nodes, and compares it with the health decay range obtained by the range adjustment module. When the health decay value is greater than or equal to the median of the health decay range, the minimum value of the health decay range is adjusted upwards. If the health decay value is less than the median of the health decay range, it remains unchanged; The date adjustment module is used to update the next photo feedback date based on the comparison results from the data collection and feedback module.

7. A progress management system for green plant rental tasks according to claim 1, characterized in that: When the date update unit collects placement photos from customers, if the customer provides placement photos, no personnel inspection is required. If the customer does not provide placement photos and the time has arrived for personnel inspection, personnel are dispatched to collect placement photos, and then the photo update is performed based on the placement photos collected by the personnel.

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