Nursery stock cultivation digital intelligent management method and system

By adopting digital intelligent management methods in nurseries, identifying and matching staff who need to work in joint operations and using digital models to guide them to carry out operations, the problems of high labor costs and low management efficiency in large-scale nurseries are solved, and more efficient joint cultivation of seedlings.

CN119443582APending Publication Date: 2025-02-14HEBEI ACAD OF FORESTRY SCI
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Patent Information

Application Number
CN202411406438.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-10
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

In large-area nurseries, joint seedling cultivation operations require multiple staff to work together, resulting in high labor costs and insufficient management efficiency.

Method used

The digital intelligent management method of seedling cultivation is adopted to identify staff members who need to cooperate, match personnel, and guide and assist these staff members in their operations based on digital models.

Benefits of technology

It reduces labor costs, improves management efficiency, and reduces dependence on specialized managers.

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Abstract

The invention provides a digital intelligent management method and system for seedling cultivation, and the method comprises the steps: recognizing workers needing to carry out the combined cultivation of seedlings in a nursery, and carrying out the corresponding matching of the workers, and obtaining a matching set; and based on the digital model of the nursery garden, guiding and assisting workers in the same matching set to perform seedling combined cultivation operation. According to the digital intelligent management method for seedling cultivation, firstly, workers needing seedling combined cultivation operation in a nursery garden are identified, corresponding personnel matching is carried out, a matching set is obtained, and based on a digital model of the nursery garden, the workers in the same matching set are guided and assisted to carry out seedling combined cultivation operation; when a worker needs to carry out seedling combined cultivation operation, the worker does not need to manually carry out management according to experience by a special manager of a nursery garden, the labor cost is reduced to a great extent, and the management efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of seedling cultivation management, and in particular to a digital intelligent management method and system for seedling cultivation. Background Art

[0002] At present, when large-scale nurseries are cultivating seedlings, the staff in the nurseries often need to carry out joint seedling cultivation operations. For example, when planting large-scale seedlings, multiple staff members are required to work together, such as sowing and planting at the same time; another example: when facing an outbreak of pests and diseases, the staff members carry out joint prevention and control, including spraying pesticides and cleaning the affected areas; another example: when the seedlings mature, the staff members need to work together to harvest, sort and package.

[0003] Generally, when staff conduct joint seedling cultivation operations, specialized nursery managers usually manage the operations manually based on their experience. However, this results in high labor costs, and the efficiency of manual management by managers may be insufficient.

[0004] Therefore, a solution is urgently needed. Summary of the invention

[0005] One of the purposes of the present invention is to provide a digital intelligent management method for seedling cultivation. First, the staff who need to perform joint seedling cultivation operations in the nursery are identified, and corresponding personnel matching is performed to obtain a matching set. Based on the digital model of the nursery, the staff in the same matching set are guided and assisted to perform joint seedling cultivation operations. When the staff need to perform joint seedling cultivation operations, there is no need for specialized managers of the nursery to manually manage them based on experience, which greatly reduces labor costs and improves management efficiency.

[0006] The embodiment of the present invention provides a digital intelligent management method for seedling cultivation, comprising: Identify the staff who need to carry out joint seedling cultivation operations in the nursery, and perform corresponding personnel matching to obtain a matching set; Based on the digital model of the nursery, guide and assist staff in the same matching set to carry out joint seedling cultivation operations.

[0007] Optionally, the identifying of the staff members who need to perform the seedling joint cultivation operation in the nursery includes: The work portraits of each staff member in the nursery are processed in a time-series manner to obtain a portrait sequence; the work portraits in the portrait sequence are sorted in the order of their triggering time; Determine a partial sequence that meets a partial sequence criterion from the image sequence; The workers who belong to the operation portraits in the same part of the sequence are regarded as the workers who need to carry out the joint seedling cultivation operation; Some of the sequence standards include: The maximum triggering time difference between any two job portraits in a partial sequence does not exceed a first time difference threshold; and the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold; the relationship set is composed of all portrait associations between any two job portraits in the partial sequence; and the degree of overlap between the first proportion of job portraits and the second proportion of job portraits in the partial sequence exceeds the overlap threshold; the first proportion is greater than the second proportion.

[0008] Optionally, the digital model based on the nursery guides and assists the staff in the same matching set to perform the joint seedling cultivation operation, including: Allowing staff in the same matching set to view digital models and chat online; The workers who meet the assistance criteria in the same matching set are selected as assistance objects; Determine assistance needs based on the assistance subject's historical viewing records of the digitized model and conversation records of online conversations; Determine the auxiliary knowledge corresponding to the auxiliary demand from the auxiliary knowledge base; Based on the analysis and construction template, the auxiliary knowledge is analyzed to construct the logic of the joint cultivation operation of the content to be mapped and the seedlings; Mapping the content to be mapped into the digital model to obtain a mapping content area; Based on the virtual camera control conditions, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time; Among them, auxiliary standards include: The staff member switches the real first-person perspective successively, and the time difference between the switches does not exceed the second time difference threshold, and the overlapping coverage area between the real first-person perspective images after the switches exceeds the area threshold; or, The staff members check the digital model successively, and the time difference between the two checks does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model; The virtual camera control conditions include: The degree of overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time first-person perspective of the auxiliary object in the digital model exceeds the overlap threshold; and the representation logic of the regional content sequence successively photographed by the virtual camera is consistent with the logic of the seedling joint cultivation operation; and the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's first-person perspective.

[0009] Optionally, after guiding and assisting the staff in the same matching set to perform the joint seedling cultivation operation, the method further includes: Obtaining the operation status information of the staff in the same matching set performing the joint seedling cultivation operation; Map the job status information into the digital model to obtain a secondary management model; Push the secondary management model to managers; When the manager inputs the management strategy, the staff in the same matching set are managed accordingly based on the management strategy.

[0010] Optionally, before performing corresponding management on the staff members in the same matching set based on the management strategy, the method further includes: The feasibility of the management strategy is verified. Once the verification is passed, the staff in the same matching set are managed accordingly based on the management strategy.

[0011] The embodiment of the present invention provides a digital intelligent management system for seedling cultivation, comprising: The identification and matching module is used to identify the staff members who need to carry out the joint cultivation of seedlings in the nursery, and to match the staff members accordingly to obtain a matching set; The digital guidance and assistance module is used to guide and assist the staff in the same matching set to carry out joint seedling cultivation operations based on the digital model of the nursery.

[0012] Optionally, the identification and matching module identifies the staff who need to perform the seedling joint cultivation operation in the nursery, including: The work portraits of each staff member in the nursery are processed in a time-series manner to obtain a portrait sequence; the work portraits in the portrait sequence are sorted in the order of their triggering time; Determine a partial sequence that meets a partial sequence criterion from the image sequence; The workers who belong to the operation portraits in the same part of the sequence are regarded as the workers who need to carry out the joint seedling cultivation operation; Some of the sequence standards include: The maximum triggering time difference between any two job portraits in a partial sequence does not exceed a first time difference threshold; and the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold; the relationship set is composed of all portrait associations between any two job portraits in the partial sequence; and the degree of overlap between the first proportion of job portraits and the second proportion of job portraits in the partial sequence exceeds the overlap threshold; the first proportion is greater than the second proportion.

[0013] Optionally, the digital guidance assistance module guides and assists the staff in the same matching set to perform the joint seedling cultivation operation based on the digital model of the nursery, including: Allowing staff in the same matching set to view digital models and chat online; The workers who meet the assistance criteria in the same matching set are selected as assistance objects; Determine assistance needs based on the assistance subject's historical viewing records of the digitized model and conversation records of online conversations; Determine the auxiliary knowledge corresponding to the auxiliary demand from the auxiliary knowledge base; Based on the analysis and construction template, the auxiliary knowledge is analyzed to construct the logic of the joint cultivation operation of the content to be mapped and the seedlings; Mapping the content to be mapped into the digital model to obtain a mapping content area; Based on the virtual camera control conditions, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time; Among them, auxiliary standards include: The staff member switches the real first-person perspective successively, and the time difference between the switches does not exceed the second time difference threshold, and the overlapping coverage area between the real first-person perspective images after the switches exceeds the area threshold; or, The staff members check the digital model successively, and the time difference between the two checks does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model; The virtual camera control conditions include: The degree of overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time first-person perspective of the auxiliary object in the digital model exceeds the overlap threshold; and the representation logic of the regional content sequence successively photographed by the virtual camera is consistent with the logic of the seedling joint cultivation operation; and the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's first-person perspective.

[0014] Optionally, after the digital guidance assistance module guides and assists the workers in the same matching set to perform the seedling joint cultivation operation, it also includes: Secondary management module, used for: Obtaining the operation status information of the staff in the same matching set performing the joint seedling cultivation operation; Map the job status information into the digital model to obtain a secondary management model; Push the secondary management model to managers; When the manager inputs the management strategy, the staff in the same matching set are managed accordingly based on the management strategy.

[0015] Optionally, before the secondary management module performs corresponding management on the staff members in the same matching set based on the management policy, it is further configured to include: The feasibility of the management strategy is verified. Once the verification is passed, the staff in the same matching set are managed accordingly based on the management strategy.

[0016] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of a digital intelligent management method for seedling cultivation according to an embodiment of the present invention; Figure 2 It is a schematic diagram of a digital intelligent management system for seedling cultivation in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0020] The embodiment of the present invention provides a digital intelligent management method for seedling cultivation, such as Figure 1 As shown, including: Step S1: identifying the staff members who need to perform joint seedling cultivation operations in the nursery, and matching the staff members accordingly to obtain a matching set; In step S1, matching the corresponding personnel means matching the personnel who need to perform the seedling joint cultivation operation and including them in the same matching set; Step S2: Based on the digital model of the nursery, guide and assist the staff in the same matching set to carry out joint seedling cultivation operations.

[0021] In step S2, the digital model of the nursery refers to a visualization model that displays the nursery in digital three-dimensional form. When establishing the digital model, sensors such as soil moisture, temperature, and light can be deployed in the nursery in advance to collect seedling growth data in real time. Data such as the work progress and current location of different staff members in the nursery can also be collected, and these data can be integrated into the three-dimensional map of the nursery to complete the establishment. The digital model reflects the comprehensive situation of the nursery. Therefore, based on the digital model, the staff members in the same matching set can be guided and assisted to carry out joint seedling cultivation operations. Guidance refers to letting the staff members in the same matching set know that they need to carry out joint seedling cultivation operations, and assistance refers to letting the staff members in the same matching set know how they can carry out joint seedling cultivation operations.

[0022] This application first identifies the staff who need to perform joint seedling cultivation operations in the nursery, and performs corresponding personnel matching to obtain a matching set. Based on the digital model of the nursery, it guides and assists the staff in the same matching set to perform joint seedling cultivation operations. When the staff need to perform joint seedling cultivation operations, there is no need for specialized managers of the nursery to manually manage them based on experience, which greatly reduces labor costs and improves management efficiency.

[0023] In one embodiment, the step S1: identifying the staff members who need to perform the seedling joint cultivation operation in the nursery includes: Step S11: performing time-sequential processing on the work portraits of each staff member in the nursery to obtain a portrait sequence; the work portraits in the portrait sequence are sorted in order according to their triggering generation time; In step S11, the operation portrait includes: the current operation area, the operation type (such as seedling cultivation, pest control, irrigation, etc.), the operation discovery (such as newly discovered seedlings with pests and diseases, etc.); the operation portrait is triggered, for example: the operator discovers new seedlings with pests and diseases during the operation, triggering the reporting operation and reporting the operation discovery. At this time, the generation time of the operation portrait is the reporting time; when performing time sequence processing, the operation portraits of each staff member in the nursery are sorted according to their trigger generation time, that is, the portrait sequence is obtained; Step S12: determining a partial sequence that meets the partial sequence standard from the image sequence; Step S13: The staff members to whom the operation portraits in the same partial sequence belong are regarded as the staff members who need to perform the seedling joint cultivation operation; In steps S12 and S13, the worker whose work portrait in the partial sequence is selected from the portrait sequence based on the partial sequence standard needs to perform the seedling joint cultivation operation; Some of the sequence standards include: The maximum triggering time difference between any two job portraits in a partial sequence does not exceed a first time difference threshold; and the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold; the relationship set is composed of all portrait associations between any two job portraits in the partial sequence; and the degree of overlap between the first proportion of job portraits and the second proportion of job portraits in the partial sequence exceeds the overlap threshold; the first proportion is greater than the second proportion.

[0024] In the partial sequence standard, the maximum trigger time difference refers to the maximum value of the difference between the trigger times of any two work portraits in the partial sequence; the first time difference threshold can be 15 minutes; ensuring that the maximum trigger time difference between any two work portraits in the partial sequence does not exceed the first time difference threshold can ensure that the work portraits in the partial sequence represent the work conditions of a continuous stage of work performed by the nursery staff, thereby avoiding errors in determining whether joint seedling cultivation operations are required because the work conditions do not represent a continuous stage.

[0025] The portrait association relationship between the operation portraits refers to the current operation area belonging to the same nursery sub-site, the same operation type, the same operation discovery, etc.; the steps for constructing the feature description vector of the relationship set include: extracting the features of the relationship set, such as the number of different types of portrait association relationships, the total number of portrait association relationships, etc., representing these features in vector form, and obtaining the feature description vector; there are preset required values ​​corresponding to different feature description vectors in the required value library, and the required value represents the degree to which the features represented by the feature description vector represent the need for joint seedling cultivation operations. For example: the feature represented by the feature description vector is that the number of portrait association relationships of the type that the current operation area belongs to the same nursery sub-site is 5, which means that the staff members to whom the operation portraits in the same partial sequence belong are very close, and the degree to which joint seedling cultivation operations need to be carried out is large, and the corresponding required value is 6; the required threshold can be 5; ensuring that the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold, when there is a partial sequence, the staff members to whom the operation portraits in the partial sequence belong need to carry out joint seedling cultivation operations.

[0026] The first ratio can be 1 / 3, and the second ratio can be 1 / 6; the overlap threshold can be 70%; when the overlap between the first ratio of work portraits and the second ratio of work portraits in the partial sequence exceeds the overlap threshold, it means that the work portraits are repeatedly generated in this continuous stage, and the overlap between the more work portraits in the front and the fewer work portraits in the back is large, which means that the local sequence can better represent the work situation of the nursery staff in this continuous stage.

[0027] When identifying staff members who need to perform joint seedling cultivation operations in a nursery, the embodiment of the present invention first performs time-series processing on the work portraits of each staff member in the nursery, then determines a partial sequence that meets the partial sequence standard from the portrait sequence, and finally regards the staff members to whom the work portraits in the same partial sequence belong as staff members who need to perform joint seedling cultivation operations, thereby completing the identification work conveniently, comprehensively and efficiently; in addition, the introduction of the partial sequence standard greatly improves the accuracy of screening partial sequences to determine the staff members who need to perform joint seedling cultivation operations.

[0028] In one embodiment, the step S2: guiding and assisting the staff in the same matching set to perform the joint seedling cultivation operation based on the digital model of the nursery, includes: Step S21: allowing staff members in the same matching set to view the digital model and conduct online conversations; In step S21, the staff in the same matching set can view the digital model and have an online conversation. At this time, the staff in the same matching set will know that they need to carry out joint seedling cultivation operations and achieve guidance; Step S22: taking the staff members in the same matching set who meet the assistance criteria as assistance objects; In step S22, based on the assistance criteria, the staff members who currently need assistance are selected from the staff members in the same matching set as assistance objects, so as to avoid assistance errors and reduced staff experience caused by directly assisting all the staff members in the same matching set; Step S23: determining assistance needs based on the historical viewing records of the assisted object viewing the digital model and the conversation records of the online conversation; In step S23, when the auxiliary object views the digital model again in the past, a viewing record will be generated, and the viewing record includes: viewing time, viewing content type, etc.; when the auxiliary object has an online conversation in the past, a conversation record will be generated; the conversation record includes: conversation voice text, etc.; the viewing record and the conversation record will reflect what kind of assistance the auxiliary object needs, that is, the assistance needs can be determined; for example: based on the semantic analysis technology, it is determined that the auxiliary object points out the characteristics of pests and diseases in the conversation record, but has never encountered them, then the assistance needs are assistance in dealing with the characteristics of the pests and diseases; Step S24: determining auxiliary knowledge corresponding to the auxiliary demand from the auxiliary knowledge base; In step S24, the auxiliary knowledge base contains preset auxiliary knowledge corresponding to different auxiliary requirements, and the auxiliary knowledge may be in the form of expert experience, etc. For example, if the auxiliary requirement is to assist in the treatment of the pest characteristics, the corresponding auxiliary knowledge is the expert experience in the treatment of the pest characteristics; Step S25: Based on the analysis and construction template, the auxiliary knowledge is analyzed to construct the logic of the joint cultivation operation of the content to be mapped and the seedlings; In step S25, after the auxiliary knowledge is determined, it is necessary to make good use of the auxiliary knowledge to assist the auxiliary object; the content to be mapped is the content waiting to be mapped to the digital model to guide the auxiliary object on how to solve the auxiliary needs, for example: the operational steps for dealing with the pests and diseases with the characteristics of the pests and diseases; the seedling joint cultivation operation logic is the operation logic for the auxiliary object to perform the seedling joint cultivation operation to solve the auxiliary needs, for example: the auxiliary knowledge indicates that the pests and diseases with the characteristics of the pests and diseases are highly contagious, and it is necessary to check whether other seedlings have the same pests and diseases and then use certain pesticides for intervention treatment, then the seedling joint cultivation operation logic is to first check whether other seedlings have the same pests and diseases, and then use pesticides for intervention treatment; the parsing and construction template is an execution template for the system to complete this parsing and construction step; Step S26: Mapping the content to be mapped into the digital model to obtain a mapping content area; In step S26, when mapping the content to be mapped, first find the area associated with the content to be mapped from the digital model. For example, if the content to be mapped is the operation steps for dealing with pests and diseases with pest characteristics, then the area is the seedling area where the pests and diseases appear. After the content to be mapped is mapped to the area, the area is used as the mapping content area. Step S27: Based on the virtual camera control condition, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time; In step S27, after the mapping of the content to be mapped is completed, at this time, it is necessary to use the digital model of the mapped content to be mapped to assist the auxiliary object. However, if it is directly viewed by the auxiliary object, the auxiliary object may not understand how to perform the joint cultivation of seedlings; therefore, a virtual camera is introduced, and based on the virtual camera control conditions, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time. After continuously viewing the shooting picture, the auxiliary object understands how to perform the joint cultivation of seedlings and implements it accordingly. The auxiliary object knows how to perform the joint cultivation of seedlings and completes the assistance; Among them, auxiliary standards include: The staff member switches the real first-person perspective successively, and the time difference between the switches does not exceed the second time difference threshold, and the overlapping coverage area between the real first-person perspective images after the switches exceeds the area threshold; or, The staff members check the digital model successively, and the time difference between the two checks does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model; In the auxiliary standard, the real first perspective refers to the shooting perspective of the work recorder worn on the chest or head of the staff. The staff switching the real first perspective successively means that at least two staff members changed their display viewing fields successively, resulting in the switching of their respective real first perspectives; the time difference of switching successively refers to the time difference between the staff switching the real first perspective successively; the second time difference threshold can be 10 seconds; the real first perspective picture after switching successively refers to the shooting picture of each work recorder after the staff switches the real first perspective successively; the overlapping coverage area refers to the overlapping area in the real range covered by the real first perspective picture; the area threshold can be 20 square meters; when the staff switches the real first perspective successively, and the time difference of switching successively does not exceed the second time difference threshold, and the overlapping coverage area between the real first perspective pictures after switching successively exceeds the area threshold, it means that the staff may be in the process of online conversation, and agree to discuss how to carry out joint seedling cultivation operations in a certain seedling area, and check the seedling area successively in a short period of time, then assistance is needed; Staff members viewing the digital model successively refers to at least two staff members viewing the digital model successively; the time difference in viewing successively refers to the time difference in viewing the digital model successively by staff members; the third time difference threshold can be 5 seconds; when there is a standard content relationship between viewing areas, it means that staff members viewing their respective viewing areas are discussing how to carry out joint seedling cultivation operations, for example: the standard content relationship is the seedling area where pests and diseases occur and the surrounding area of ​​the area; therefore, staff members viewing the digital model successively, and the time difference in viewing successively does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model viewed successively, then assistance is required; The virtual camera control conditions include: The degree of overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time first-person perspective of the auxiliary object in the digital model exceeds the overlap threshold; and the representation logic of the regional content sequence successively photographed by the virtual camera is consistent with the logic of the seedling joint cultivation operation; and the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's first-person perspective.

[0029] In the virtual camera control conditions, the real-time reality first perspective of the auxiliary object refers to the shooting perspective of the operation recorder worn by the auxiliary object. The digital model is a visualization model for digital three-dimensional modeling of the nursery. Therefore, this perspective will correspond to a virtual perspective in the digital model; the overlap threshold can be 65%; ensuring that the overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time reality first perspective of the auxiliary object in the digital model exceeds the overlap threshold, so that when the auxiliary object views the shooting picture of the virtual camera, it can continue to understand the relationship between the shooting picture and the seedlings in its current field of view, that is, understand how to carry out the joint cultivation operation of seedlings; The regional content sequence captured by the virtual camera refers to the sequence of the contents in the captured images captured by the virtual camera when it moves to capture the mapped content area, which is sorted in the order of the captured content; the regional content sequence will have a representation logic, which is the logic of guiding the auxiliary object on how to carry out the joint cultivation of seedlings reflected by the regional content sequence. For example, if the regional content sequence is the seedling area where pests and diseases occur and the surrounding area of ​​the area, the representation logic is to conduct the same pest and disease inspection on the seedling area where pests and diseases occur; ensuring that the representation logic of the regional content sequence is consistent with the logic of the joint cultivation of seedlings can make good use of the auxiliary knowledge to assist the auxiliary object; The switching frequency of the auxiliary object's real first-person perspective refers to the frequency with which the auxiliary object changes its own display viewing field of view, that is, the frequency with which the shooting perspective of the work recorder worn by the auxiliary object changes; the larger the frequency, the more likely the auxiliary object is to understand and think about how to carry out the joint cultivation of seedlings in combination with the shooting picture of the virtual camera, and the shooting movement speed of the virtual camera needs to be slowed down so that the auxiliary object can keep up with the assistance rhythm, which is very user-friendly; therefore, it is ensured that the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's real first-person perspective; specifically, the specific relationship of the negative correlation between the two can be set in advance by technical personnel.

[0030] The embodiment of the present invention is based on the digital model of the nursery, guides and assists the staff in the same matching set to perform the joint cultivation of seedlings, determines the auxiliary objects that need assistance and the auxiliary needs, determines the auxiliary knowledge in combination with the auxiliary needs, and makes good use of the auxiliary knowledge to assist the auxiliary objects, which greatly improves the humanization and applicability of the system; secondly, uses a mapping construction template to parse the auxiliary knowledge, constructs the logic of the content to be mapped and the joint cultivation of seedlings operation, maps the content to be mapped into the digital model, obtains the mapping content area, controls the virtual camera to move and shoot the mapping content area, and transmits the shooting picture to the auxiliary object in real time, which truly realizes the use of auxiliary knowledge to assist the auxiliary object and improves the efficiency of the auxiliary object in the joint cultivation of seedlings; uses auxiliary standards to screen auxiliary objects and accurately determines the staff who need assistance; uses virtual camera control conditions to control the mobile shooting of the virtual camera, which greatly improves the suitability of using the shooting picture of the virtual camera to assist the auxiliary object, and at the same time, it is also very intelligent.

[0031] In one embodiment, after guiding and assisting the staff members in the same matching set to perform the seedling joint cultivation operation, the method further includes: Obtaining the operation status information of the staff in the same matching set performing the joint seedling cultivation operation; Map the job status information into the digital model to obtain a secondary management model; Push the secondary management model to managers; When the manager inputs the management strategy, the staff in the same matching set are managed accordingly based on the management strategy.

[0032] The job status information can be the staff's current job progress, job location, job type, etc.; when mapping the job status information into the digital model, the job status information can be mapped to the model location corresponding to the staff's job location; the secondary management model is pushed to the management personnel, and the management personnel can analyze the performance of each staff member and make management strategy decisions; when the management personnel input the management strategy, the staff in the same matching set are managed accordingly based on the management strategy; it is convenient for the management personnel to perform necessary secondary management in the background.

[0033] In one embodiment, before the management of the staff members in the same matching set is performed accordingly based on the management policy, the method further includes: The feasibility of the management strategy is verified. Once the verification is passed, the staff in the same matching set are managed accordingly based on the management strategy.

[0034] When conducting feasibility verification, the historical execution results of the same management strategy can be combined to predict the possible effect of the management strategy. When the possible effect is better, the verification is passed. When the verification passes, based on the management strategy, corresponding management is carried out for the staff in the same matching set to improve the suitability of the strategy execution.

[0035] The embodiment of the present invention provides a digital intelligent management system for seedling cultivation, such as Figure 2 As shown, including: The identification and matching module 1 is used to identify the staff members who need to carry out the joint cultivation of seedlings in the nursery, and to perform corresponding personnel matching to obtain a matching set; The digital guidance and assistance module 2 is used to guide and assist the staff in the same matching set to carry out joint seedling cultivation operations based on the digital model of the nursery.

[0036] The identification and matching module 1 identifies the staff members who need to perform the joint seedling cultivation operation in the nursery, including: The work portraits of each staff member in the nursery are processed in a time-series manner to obtain a portrait sequence; the work portraits in the portrait sequence are sorted in the order of their triggering time; Determine a partial sequence that meets a partial sequence criterion from the image sequence; The workers who belong to the operation portraits in the same part of the sequence are regarded as the workers who need to carry out the joint seedling cultivation operation; Some of the sequence standards include: The maximum triggering time difference between any two job portraits in a partial sequence does not exceed a first time difference threshold; and the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold; the relationship set is composed of all portrait associations between any two job portraits in the partial sequence; and the degree of overlap between the first proportion of job portraits and the second proportion of job portraits in the partial sequence exceeds the overlap threshold; the first proportion is greater than the second proportion.

[0037] The digital guidance assistance module 2 guides and assists the staff in the same matching set to perform the joint seedling cultivation operation based on the digital model of the nursery, including: Allowing staff in the same matching set to view digital models and chat online; The workers who meet the assistance criteria in the same matching set are selected as assistance objects; Determine assistance needs based on the assistance subject's historical viewing records of the digitized model and conversation records of online conversations; Determine the auxiliary knowledge corresponding to the auxiliary demand from the auxiliary knowledge base; Based on the analysis and construction template, the auxiliary knowledge is analyzed to construct the logic of the joint cultivation operation of the content to be mapped and the seedlings; Mapping the content to be mapped into the digital model to obtain a mapping content area; Based on the virtual camera control conditions, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time; Among them, auxiliary standards include: The staff member switches the real first-person perspective successively, and the time difference between the switches does not exceed the second time difference threshold, and the overlapping coverage area between the real first-person perspective images after the switches exceeds the area threshold; or, The staff members check the digital model successively, and the time difference between the two checks does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model; The virtual camera control conditions include: The degree of overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time first-person perspective of the auxiliary object in the digital model exceeds the overlap threshold; and the representation logic of the regional content sequence successively photographed by the virtual camera is consistent with the logic of the seedling joint cultivation operation; and the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's first-person perspective.

[0038] After the digital guidance auxiliary module 2 guides and assists the workers in the same matching set to perform the seedling joint cultivation operation, it also includes: Secondary management module, used for: Obtaining the operation status information of the staff in the same matching set performing the joint seedling cultivation operation; Map the job status information into the digital model to obtain a secondary management model; Push the secondary management model to managers; When the manager inputs the management strategy, the staff in the same matching set are managed accordingly based on the management strategy.

[0039] Before the secondary management module performs corresponding management on the staff members in the same matching set based on the management strategy, it is also used to include: The feasibility of the management strategy is verified. Once the verification is passed, the staff in the same matching set are managed accordingly based on the management strategy.

[0040] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A digital intelligent management method for seedling cultivation, characterized in that: include: Identify the staff who need to carry out joint seedling cultivation operations in the nursery, and perform corresponding personnel matching to obtain a matching set; Based on the digital model of the nursery, guide and assist staff in the same matching set to carry out joint seedling cultivation operations.

2. The digital intelligent management method for seedling cultivation according to claim 1, characterized in that: The staff members who need to carry out the joint cultivation of seedlings in the nursery are identified as follows: The work portraits of each staff member in the nursery are processed in a time-series manner to obtain a portrait sequence; the work portraits in the portrait sequence are sorted in the order of their triggering time; Determine a partial sequence that meets a partial sequence criterion from the image sequence; The workers who belong to the operation portraits in the same part of the sequence are regarded as the workers who need to carry out the joint seedling cultivation operation; Some of the sequence standards include: The maximum triggering time difference between any two job portraits in a partial sequence does not exceed a first time difference threshold; and the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold; the relationship set is composed of all portrait association relationships between any two job portraits in the partial sequence; and the degree of overlap between the first proportion of job portraits and the second proportion of job portraits in the partial sequence exceeds the overlap threshold; the first proportion is greater than the second proportion.

3. The digital intelligent management method for seedling cultivation according to claim 1, characterized in that: The digital model based on the nursery guides and assists the staff in the same matching set to carry out the joint cultivation of seedlings, including: Allowing staff in the same matching set to view digital models and chat online; The workers who meet the assistance criteria in the same matching set are selected as assistance objects; Determine assistance needs based on the assistance subject's historical viewing records of the digitized model and conversation records of online conversations; Determine the auxiliary knowledge corresponding to the auxiliary demand from the auxiliary knowledge base; Based on the analysis and construction template, the auxiliary knowledge is analyzed to construct the logic of the joint cultivation operation of the content to be mapped and the seedlings; Mapping the content to be mapped into the digital model to obtain a mapping content area; Based on the virtual camera control conditions, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time; Among them, auxiliary standards include: The staff member switches the real first-person perspective successively, and the time difference between the switches does not exceed the second time difference threshold, and the overlapping coverage area between the real first-person perspective images after the switches exceeds the area threshold; or, The staff members check the digital model successively, and the time difference between the two checks does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model; The virtual camera control conditions include: The degree of overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time first-person perspective of the auxiliary object in the digital model exceeds the overlap threshold; and the representation logic of the regional content sequence successively photographed by the virtual camera is consistent with the logic of the seedling joint cultivation operation; and the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's first-person perspective.

4. The digital intelligent management method for seedling cultivation according to claim 1, characterized in that: After guiding and assisting the staff in the same matching set to carry out the joint seedling cultivation operation, it also includes: Obtaining the operation status information of the staff in the same matching set performing the joint seedling cultivation operation; Map the job status information into the digital model to obtain a secondary management model; Push the secondary management model to managers; When the manager inputs the management strategy, the staff in the same matching set are managed accordingly based on the management strategy.

5. The digital intelligent management method for seedling cultivation according to claim 4, characterized in that: Before the staff members in the same matching set are managed accordingly based on the management strategy, the following steps are also included: The feasibility of the management strategy is verified. Once the verification is passed, the staff in the same matching set are managed accordingly based on the management strategy.

6. A digital intelligent management system for seedling cultivation, characterized in that: include: The identification and matching module is used to identify the staff members who need to carry out the joint cultivation of seedlings in the nursery, and to match the staff members accordingly to obtain a matching set; The digital guidance and assistance module is used to guide and assist the staff in the same matching set to carry out joint seedling cultivation operations based on the digital model of the nursery.

7. The digital intelligent management system for seedling cultivation as claimed in claim 6, characterized in that: The identification and matching module identifies the staff members who need to perform the joint cultivation of seedlings in the nursery, including: The work portraits of each staff member in the nursery are processed in a time-series manner to obtain a portrait sequence; the work portraits in the portrait sequence are sorted in the order of their triggering time; Determine a partial sequence that meets a partial sequence criterion from the image sequence; The workers who belong to the operation portraits in the same part of the sequence are regarded as the workers who need to carry out the joint seedling cultivation operation; Some of the sequence standards include: The maximum triggering time difference between any two job portraits in a partial sequence does not exceed a first time difference threshold; and the required value corresponding to the feature description vector of the relationship set in the required value library exceeds the required threshold; the relationship set is composed of all portrait association relationships between any two job portraits in the partial sequence; and the degree of overlap between the first proportion of job portraits and the second proportion of job portraits in the partial sequence exceeds the overlap threshold; the first proportion is greater than the second proportion.

8. The digital intelligent management system for seedling cultivation as claimed in claim 6, characterized in that: The digital guidance assistance module guides and assists the staff in the same matching set to perform joint seedling cultivation operations based on the digital model of the nursery, including: Allowing staff in the same matching set to view digital models and chat online; The workers who meet the assistance criteria in the same matching set are selected as assistance objects; Determine assistance needs based on the assistance subject's historical viewing records of the digitized model and conversation records of online conversations; Determine the auxiliary knowledge corresponding to the auxiliary demand from the auxiliary knowledge base; Based on the analysis and construction template, the auxiliary knowledge is analyzed to construct the logic of the joint cultivation operation of the content to be mapped and the seedlings; Mapping the content to be mapped into the digital model to obtain a mapping content area; Based on the virtual camera control conditions, the virtual camera is controlled to move and shoot the mapped content area, and the shooting picture is transmitted to the auxiliary object in real time; Among them, auxiliary standards include: The staff member switches the real first-person perspective successively, and the time difference between the switches does not exceed the second time difference threshold, and the overlapping coverage area between the real first-person perspective images after the switches exceeds the area threshold; or, The staff members check the digital model successively, and the time difference between the two checks does not exceed the third time difference threshold, and there is a standard content relationship between the viewing areas of the digital model; The virtual camera control conditions include: The degree of overlap between the real-time shooting perspective of the virtual camera and the virtual perspective corresponding to the real-time first-person perspective of the auxiliary object in the digital model exceeds the overlap threshold; and the representation logic of the regional content sequence successively photographed by the virtual camera is consistent with the logic of the seedling joint cultivation operation; and the shooting movement speed of the virtual camera is negatively correlated with the switching frequency of the auxiliary object's first-person perspective.

9. The digital intelligent management system for seedling cultivation according to claim 6, characterized in that: After the digital guidance auxiliary module guides and assists the staff in the same matching set to perform the seedling joint cultivation operation, it also includes: Secondary management module, used for: Obtaining the operation status information of the staff in the same matching set performing the joint seedling cultivation operation; Map the job status information into the digital model to obtain a secondary management model; Push the secondary management model to managers; When the manager inputs the management strategy, the staff in the same matching set are managed accordingly based on the management strategy.

10. The digital intelligent management system for seedling cultivation according to claim 9, characterized in that: Before the secondary management module manages the staff members in the same matching set accordingly based on the management strategy, it is also used to include: The feasibility of the management strategy is verified. Once the verification is passed, the staff in the same matching set are managed accordingly based on the management strategy.

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