Art education practice resource collaboration method and system

Abstract

The invention discloses an art education practice resource collaboration method and system, and relates to the technical field of wisdom education, and the method comprises the steps: S1, resource management: extracting resource information in an information collection form, classifying and distributing corresponding resource labels, and storing the resource labels in a preset database; s2, demand collaboration: if demand data uploaded by a user is received, analyzing to generate a demand field; a database is retrieved according to the demand field, and the resource adaptation degree is calculated; if the resource adaptation degree of a certain item of data reaches the standard, corresponding resource information is extracted and sent to a demand side, and after the demand side initiates a demand communication request, a resource cooperation request is sent to a user corresponding to the resource information; and sending any one or more of contact information, identity information and occupations of the user corresponding to the resource information to the demand side after the request is passed. The method has the effect of helping related institutions and personnel to better carry out labor practice activities.

Description

Technical Field

[0001] The present application relates to the field of smart education technology, and in particular to a method and system for coordinating art education practice resources. Background Art

[0002] With the improvement of living standards, society pays more and more attention to art education. Schools and parents will lead and arrange students to visit art galleries, museums, galleries, learn painting, etc., aiming to enhance aesthetic literacy, cultivate sentiment, and stimulate innovation and creativity.

[0003] In the process of carrying out art education, what has been learned should be put into practice; at present, art education practice activities carried out on campus are generally planned by the grade as a whole, initiated by relevant teachers and finalized through consultation with other teachers, with internal information circulation and allocation, and resources for carrying out practical activities are limited. For example: Community A plans to hold a community "life" art exhibition, and needs a group of relatively professional people as on-site guidance staff. However, due to the lack of relevant resources, they can only rely on community staff to find friends as volunteers or contact relevant institutions. At this time, College B fully meets the conditions of Community A and also has the idea of ​​arranging students to carry out labor practice. However, because the information is independent, it will basically not be used unless there are relevant personnel who know the resources of both parties.

[0004] Situations such as the above require the campus to expend more manpower and material resources to arrange separate practical activities. In the process, the practical activities may not be well matched or may be obstructed. Therefore, this application proposes a new technical solution. Summary of the invention

[0005] In order to better help relevant institutions and personnel carry out labor practice activities, this application provides a method and system for coordinating art education practice resources.

[0006] In the first aspect, the present application provides a method for coordinating art education practice resources, which adopts the following technical solutions: A collaborative method for art education practice resources, including: S1. Resource management, which includes: If the user is visiting for the first time, an information collection form will be sent to the user, and feedback will be received, and the feedback data will be identified and archived; the content of the user information collection form includes the user's identity, contact information, skills, occupation, art education resources, and practice resources; Extract resource information from the information collection form, classify it, assign corresponding resource tags, and store it in a preset database; S2. Demand coordination, which includes: If the demand data uploaded by the user is received, the demand fields are generated by parsing; Search the database based on the required fields and calculate resource adaptability; If the resource adaptability of a certain data item meets the standard, the corresponding resource information is extracted and sent to the demander. After the demander initiates a demand communication request, a resource collaboration request is sent to the user corresponding to the resource information. After the request is approved, any one or more of the contact information, identity information, and occupation of the user corresponding to the resource information is sent to the demander. If the database search results do not meet the requirements, the fuzzy matching process is executed, and a resource collaboration request is sent to the matched user according to the execution result. After the request is approved, any one or more of the user's contact information, identity information, and occupation corresponding to the resource information is sent to the demander; the fuzzy matching process includes: Analyze the skills or occupations that are suitable for the required fields; Skills, occupations, art education resources, and practice resources are extracted from user information that meets the adaptation conditions, and summarized to generate a reference data table.

[0007] Optionally, it also includes creating an online aesthetic education community and / or creating a cloud space for any user, and assigning data upload permissions to the user; The resource management also includes: performing practical education feature recognition on images, videos, and text data in online aesthetic education communities and cloud spaces, and updating resource tags corresponding to users in the database according to the recognition results; The fuzzy matching process further includes: Analyze the practical education characteristics that the demand fields are adapted to and define them as target characteristics; The database is searched based on the target features to determine matching users.

[0008] Optionally, the demand coordination further includes: Determine whether the demand data contains location information. If yes, proceed to the next step. If no, request additional location information and stop executing demand collaboration before obtaining the location information. Get the user's location information; If the location information of any user who is not the initiator of the demand data meets the preset coincidence condition with the location information corresponding to a certain demand data, a practice inquiry is sent to the corresponding user, and after the inquiry feedback is passed, the practice follow-up process is executed; The practice follows a process, which includes: If there is a task time in the demand data, a practice summary request is sent to the corresponding user at least at the end of the task time; If the task time is missing in the demand data, the historical demand records of the demand data initiator and the same type of demand data stored in the database are called, and the task end time is estimated, and a practice summary request is sent at least at the task end time; Provide security responses and update user information based on feedback from practice summary requests.

[0009] Optionally, the security response includes: If there is only one user other than the initiator whose demand data matches, then if no practice feedback from the user is received after the practice summary request is sent for T1 time, a manual verification prompt is sent to the designated supervisory user; If there are multiple users other than the initiator who match the demand data, it is determined whether other corresponding users have uploaded practice feedback. If so, the process ends; if not, a manual verification prompt is sent to the designated supervisory user.

[0010] Optionally, the security response further includes: Calculate the distance between the location information corresponding to the demand data and the location information of the nearest adjacent user to obtain the adjacent user distance parameter; If the distance parameter of the adjacent user is less than the preset distance threshold, send a security collaboration request to the user, receive feedback, and respond based on the feedback; Wherein, the security collaboration request includes the location of the required data and a close observation request; The responding according to the feedback includes identifying the image or video if the feedback data contains an image or video, comparing the image or video with the required data, generating comparison data, and sending the comparison data to a designated supervisory user.

[0011] Optionally, the resource management further includes: Send the surplus / reused resource filling form to the initiator of the demand data; Analyze the feedback of the practice summary request of the practice users corresponding to the demand data, and obtain the surplus / reuse resource filling form; Receive feedback on the surplus / recycled resource report form, identify it, and archive it to a preset secondary resource database; wherein the surplus / recycled resource report form includes resource category, quantity, transfer fee, effective time and transaction location; The demand collaboration also includes: if the new demand data includes resource purchasing information, searching the secondary resource database for matching analysis to obtain matching surplus / recyclable resources, and calling corresponding user information to generate a recommendation data table.

[0012] Optionally, the resource management further includes: If a user reports surplus / reused resources, the initial stock collection form corresponding to the surplus / reused resources will be sent to the user and the corresponding demand initiator; Bind any demand data, the corresponding initial stocking collection form, and surplus / reuse resource information to generate a type of practice record; The demand collaboration also includes: if the new demand data includes resource purchasing information, generating a stock adjustment suggestion based on a historical practice record.

[0013] Optionally, the resource management further includes: Identify the required fields and determine the type of required data; If the type of demand data meets the preset duration category, the actual duration is generated according to the feedback of the practice summary request, and the demand data and the number of users corresponding to the demand data are bound to generate the second type of practice record; The demand collaboration also includes: if the type of new demand data meets the preset duration category, generating demand adjustment suggestions based on the historical second-category practice records.

[0014] Optionally, the demand coordination further includes: If a certain demand data meets the preset duration category, a result report request will be sent to the initiator of the demand data on the preset Nth day; Identify feedback on the request for reporting results and analyze the evaluation progress; Send the assessment progress and demand data to the predefined guidance users corresponding to the users who implement the demand data, requesting the estimated completion time and adjustment suggestions; Generate demand adjustment suggestions based on obtaining estimated completion time and adjustment suggestions.

[0015] In the second aspect, the present application provides an art education practice resource collaboration system, which adopts the following technical solutions: An art education practice resource collaboration system includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the art education practice resource collaboration methods described above.

[0016] To summarize, this application includes the following beneficial technical effects: social personnel / institutions can upload their own needs, and the implementation system / platform of this method will retrieve the students, teachers, colleges, etc. pre-recorded in the database, recommend matching resources for them, and provide communication and collaboration opportunities, thereby solving the problem of students' lack of labor practice opportunities, reducing the cost of organizing practical activities in schools, improving the practical effect of art education, and solving the problem of lack of professional support for social personnel / institutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the main process of resource management of this application; Figure 2 This is a schematic diagram of the main process of demand collaboration for this application. DETAILED DESCRIPTION

[0018] The following is combined with Figure 1-2 This application is described in further detail.

[0019] The embodiment of the present application discloses a method for coordinating art education practice resources.

[0020] Reference Figure 1 and Figure 2 , the collaborative methods of art education practice resources include: S1. Resource management; S2. Demand coordination.

[0021] It should be noted that the above S1 and S2 in this embodiment do not refer to steps, but are used to distinguish the two main parts of this method. The visual display form of this method is an online collaborative platform. Through the Internet, artificial intelligence and other technologies, an art education practice platform is constructed to communicate with communities, campuses, institutions, students and other parties, breaking the relatively closed situation of art education practice in the past and improving the problem that activities were relatively laborious and the results were relatively poor in the past. It is explained in detail below.

[0022] Regarding resource management, it includes: 1-1) If the user is visiting for the first time, an information collection form will be sent to the user, and feedback will be received, and the feedback data will be identified and archived.

[0023] It is understandable that for the implementation security of this method, users need to perform real-name authentication, and users can be natural persons, groups, institutions, etc. The above form is sent during the user's real-name authentication stage, and the content of the user information collection form includes the user's identity, contact information, skills, occupation, art education resources, and practice resources; Examples of identities: student, teacher, community worker; Skill examples: ink painting, sketching; Art education resources: The first type is human resources, such as 50 students who have studied oil painting for more than one year; the second type is consumable resources, such as 15 idle drawing boards; Practical resources: Two communities planned to draw posters and hold a souvenir-themed poster exhibition.

[0024] 1-2), extract resource information from the information collection form, classify it, assign corresponding resource tags, and store it in the preset database.

[0025] It should be noted that there are at least two categories when classifying. One category has a time limit, for example: holding a painting exhibition with the theme of XXX during the Mid-Autumn Festival; the other category has no time limit. Resource tags, that is, resource category identification codes, such as: A, B..., can be assigned values ​​respectively.

[0026] Regarding demand coordination, it includes: 2-1) If the demand data uploaded by the user is received, the demand fields are generated by parsing.

[0027] It should be noted that in this embodiment, the demand data may not be a list given in a fixed format, but a text description, which may be obtained through audio recognition; after the text is imported, keyword extraction or more intelligent generative manual information extraction can be performed to obtain fields (i.e., list information). The advantage of the above setting is that it makes information entry more flexible and meets the complex needs of social personnel.

[0028] 2-2), search the database according to the required fields and calculate the resource adaptability.

[0029] The above search: 1. Substitute the field into the search; 2. Search for similar words on the network for the field and substitute them into the search. The degree of fit can be the number of overlapped fields in this embodiment, and the Euclidean distance is not considered here.

[0030] 2-3) If the resource adaptability of a certain data item meets the standard, the corresponding resource information is extracted and sent to the demander. After the demander initiates a demand communication request, a resource collaboration request is sent to the user corresponding to the resource information. After the request is approved, any one or more of the contact information, identity information, and occupation of the user corresponding to the resource information is sent to the demander.

[0031] From the above, it can be seen that for resources that meet the adaptability requirements, this method needs to obtain the consent of the user before sending them, which reduces the concerns of some users that their data is not safe; at the same time, the information to be sent can also be selected by the user to further improve the user experience.

[0032] If the database search results do not meet the requirements (i.e., there is a lack of suitable art education resources and practice resources), the fuzzy matching process will be executed, and a resource collaboration request will be sent to the matched users based on the execution results. Once the request is approved, any one or more of the user's contact information, identity information, and occupation corresponding to the resource information will be sent to the requester.

[0033] The above fuzzy matching process includes: Analyze the skills or occupations that are suitable for the requirement field. For example, if the requirement field is: community, auditorium wall, folk painting, then the suitable field can be "wall painting"; Skills, occupations, art education resources, and practice resources are extracted from user information that meets the adaptation conditions, and summarized to generate a reference data table.

[0034] According to the above content, after this method cannot find information that meets the needs in the recorded resources, it can also analyze other information of the user, actively capture and recommend information that may meet the needs to the initiator of the needs, thereby improving the applicability of this method.

[0035] To sum up, after applying this method, social personnel / institutions can upload their own needs, and the implementation system / platform of this method will retrieve the students, teachers, colleges, etc. pre-recorded in the database, recommend matching resources for them, and provide communication and collaboration opportunities, thereby solving the problem of students' lack of labor practice opportunities, reducing the cost of schools organizing practical activities, improving the practical effect of art education, and solving the problem of lack of professional support for social personnel / institutions.

[0036] In another embodiment of the method, the method further includes: creating an online aesthetic education community and / or creating a cloud space for any user, and assigning data upload permissions to the user.

[0037] Online art education community example: Establish a website for displaying art education practice results. Students and teachers can upload images and videos taken during practice activities, and other users can visit the website to view and comment. Cloud space is the user's private storage space. In this embodiment, except for the authorized system / platform, others have no access rights without permission.

[0038] Based on the above foundation, resource management also includes: practical education feature recognition of images, videos, and text data in online aesthetic education communities and cloud spaces, and updating the resource tags corresponding to users in the database based on the recognition results.

[0039] Among them, the recognition of practical education features is predefined by the user. For example, if the user has wall painting behavior or assists children in painting based on image and video recognition, the resource tags of "wall painting" and "painting guidance" can be added to the user; Based on image, video and text recognition, if it is found that the user has organized a group of students to carry out community activities and is a community member, a "community activity organizer" resource tag can be added to the user.

[0040] According to the above settings, the resource label of any user in this method, on the one hand, is not fixed at the initial login, but will be updated; on the other hand, the resource label does not require the user to actively update the user information collection table. This method uses image recognition technology to actively update the user's daily online activities, which ensures that the user positioning is more accurate and more convenient to use.

[0041] On the basis of the above, the fuzzy matching process also includes: Analyze the practical education characteristics that are adapted to the demand fields and define them as target characteristics; The database is searched based on the target features to determine matching users.

[0042] In this stage, the user's requirements are parsed into data fields and the corresponding practical education features are automatically generated. The user can also actively select certain fields as practical education features. Therefore, the above-mentioned method of updating the user's resource tags does not require the backend administrator to update, but is a process of continuous and autonomous updating based on a user's retrieval needs.

[0043] It is understandable that the above process should be checked for repeated updates of similar words and sentences, that is, the features corresponding to the meanings of repeated words and sentences can be bound interpretations instead of repeated updates, so as to reduce the amount of parallel tasks.

[0044] According to the above content, this method can provide each user with a platform for practical activities and ability display, and automatically analyze and extract resource information. When any user makes a demand and no matching items can be found for the recorded resources, the matching resource users are predicted based on the user's past behavior, thereby ensuring the effectiveness of this method and preventing the situation where no reference can be provided for the user's needs.

[0045] In another embodiment of the present application, considering that in the practice of art education, there are behaviors such as sketching and painting that may occur in remote areas, mountains, etc., which may lead to safety risks in the process, so the method also makes the following settings: Among them, demand coordination also includes: (When receiving demand data) determine whether the demand data contains location information. If so, execute the next step; if not, request additional location information and stop executing demand collaboration before obtaining the location information; that is, if the user cannot provide a clear location for practical activities, this method will not be able to obtain matching users. This, combined with real-name user login, can perform certain demand-side responsibility positioning supervision.

[0046] After that, this method obtains the user's location information by (installing the mobile phone app corresponding to this method); If the location information of any user who is not the initiator of the demand data meets the preset coincidence conditions with the location information corresponding to a certain demand data (such as: the distance is less than 15m and the stay is more than 20min), a practice inquiry will be sent to the corresponding user, and after the inquiry feedback is passed, the practice follow-up process will be executed.

[0047] That is, on the one hand, this method requires any party that issues a demand to give the location where the demand is to be implemented, and on the other hand, it analyzes the locations of other users. Once there is an overlap, it actively asks the user whether to carry out the practice, and follows up after the user confirms.

[0048] The above practice follows the process, which includes: If there is a task time in the demand data, for example, Farm A needs to guide tourists to paint on fans between December 1 and December 10, then at least at the end of the task time, a practice summary request will be sent to the corresponding user, preferably on a daily basis. If the user thinks it is too frequent, he or she can request an extension, but cannot stop it completely; If the task time is missing in the demand data, the historical demand records of the demand data initiator and the same type of demand data stored in the database are called, and the task end time is estimated, and a practice summary request is sent at least at the task end time; Provide security responses and update user information based on feedback from practice summary requests.

[0049] According to the above content, this method can actively inquire the user about the task end time when there is task time in the demand data, and can also analyze historical records to predict task time and initiate inquiries in time when there is no time in the demand data, so as to maintain contact during practical activities and reduce safety risks in practical activities.

[0050] Example of estimating task end time: The first type is that the user is an organizer of rural settlement activities and carries out rural activities once a month, which lasts for 1-2 days. Even if the new demand does not indicate the task time, this method can pre-fix it to 1-2 days based on similar demand situations, and use this to estimate the task end time; The second type is that the user's requirement is to complete a 10-meter wall painting for the community. If he does not provide a task time, other historical records of the same wall painting can be retrieved to estimate the time required and the task completion time.

[0051] Regarding security response, specifically: If feedback of the practice summary request is received, it is determined whether the user has a security risk based on the feedback. In this embodiment, the feedback should at least include an audio, video or face authentication.

[0052] If there is only one user other than the initiator who matches the demand data, then if no practice feedback from the user is received after the practice summary request is sent for T1 time (e.g., 2 hours), a manual verification prompt is sent to the designated supervisory user (which can be a user-defined supervisor, or, if the user is a student, the corresponding school administrator); If there are multiple users other than the initiator who match the demand data, it is determined whether other corresponding users have uploaded practice feedback. If so, the process ends; if not, a manual verification prompt is sent to the designated supervisory user.

[0053] According to the above content, whether it is one or multiple users going to a certain location to carry out activities, this method can carry out corresponding security supervision; at the same time, it can also prevent repeated inquiries at the same location, which is more suitable for students working in teams, so as to avoid repeated requests for uploading resulting in repeated information and user boredom.

[0054] Furthermore, the security response also includes: Calculate the distance between the location information corresponding to the demand data and the location information of the nearest adjacent user to obtain the adjacent user distance parameter; it can be understood that the user at this time is not the aforementioned user who did not respond to the request, but other users; If the distance parameter of the adjacent user is less than the preset distance threshold (such as 3km), please send a security collaboration request to the user, receive feedback, and respond based on the feedback.

[0055] Among them, the security collaboration request includes the location of the required data and a request for close observation, that is, while giving the activity location, requesting nearby personnel to approach and observe. Therefore, the feedback can be a video or image corresponding to the required content, or it can be text or a portrait of the corresponding user.

[0056] Responding based on the feedback includes identifying the images and videos if the feedback data contains images and videos, comparing them with the required data, generating comparison data, and sending them to the designated supervisory user.

[0057] An example of the comparison between the above and demand data: the demand data is to provide sketches for tourists visiting Mount A, and the feedback images and videos show that the mountain trail of Mount A is closed, so the comparison data is abnormal.

[0058] In another embodiment of the method, the method is not only a security supervision for the content of the practice summary requested by the user during the practice activity, but also used to collect the surplus / reusable resources after the activity to provide opportunities for utilization of such resources as painting supplies, site resources, equipment resources, etc., and because integrity must be maintained when coordinating the reuse and transfer of such resources to others, facial recognition is required, etc., and therefore the aforementioned security supervision is implemented while feeding back the excess recyclable and reusable resources.

[0059] Specifically, resource management also includes: Send a surplus / reused resource filling form to the initiator of the demand data; the form should state: resource category, resource name, quantity, transfer fee, validity period, transaction location, and even specific pictures and videos taken. The system / platform will use image recognition technology to obtain the corresponding information in the form and fill it out automatically.

[0060] Analyze the feedback of the practice summary request of the practice users corresponding to the demand data, for example: recognize the audio, image, video, and text content, extract the features corresponding to the standard form details to generate corresponding information, and obtain the surplus / reuse resource filling form; Receive feedback on surplus / recycled resource form filling, identify, and archive to the preset secondary resource database.

[0061] At this time, demand collaboration also includes: if the new demand data includes resource purchasing information, then searching the secondary resource database for matching analysis, obtaining matching surplus / recyclable resources, and calling the corresponding user information to generate a recommendation data table.

[0062] According to the above content, while conducting security supervision, this method can also summarize the remaining reusable resources in practical activities, and when other users put forward new requirements and need to use resources other than talents, it will actively find and record the items that need to be adapted, providing both parties with opportunities for resource coordination and reducing the cost of both parties to start corresponding activities.

[0063] Furthermore, resource management also includes: If a user reports surplus / reused resources, the initial stock collection form corresponding to the surplus / reused resources will be sent to the user and the corresponding demand initiator; Bind any demand data, the corresponding initial stocking collection form, and surplus / reused resource information to generate a type of practice record; that is, if a user reports that there are surplus / reused resources after practice, this method will request to collect the initial stocking information and record it in categories so that it can be used as a reference sample for later evaluation of whether other users' demands are incorrect.

[0064] At this time, demand collaboration also includes: if the new demand data includes resource purchasing information, then a stock adjustment suggestion is generated based on a historical practice record.

[0065] Example: The activity items corresponding to the current demand data have the same historical records. The actual resources used in the historical records are k of the initial inventory. If k < 1, it is prompted to reduce the inventory and this historical record is given as a reference. If the workload and number of people involved in the activity items are different, a proportional calculation is performed to achieve consistency for comparison.

[0066] Furthermore, resource management also includes: Identify the required fields and determine the type of required data; If the type of demand data meets the preset duration category (such as wall painting), the actual duration is generated according to the feedback of the practice summary request, and the demand data and the number of users corresponding to the demand data are bound to generate a second type of practice record; that is, the actual working time of any practice activity with a duration category is automatically collected and recorded.

[0067] Demand collaboration also includes: if the type of new demand data meets the preset duration category, generating demand adjustment suggestions based on historical Class II practice records.

[0068] For example: The requirement is a 10m wall painting, the number of people is 1, and the duration is n days; if the historical records for the same are between 1.3n-1.6n, it will be prompted to extend the task time, increase the number of people required, and provide the corresponding historical records as a reference.

[0069] In another embodiment of the method, for the above-mentioned requirements with a construction period, the method not only provides suggestions when the user proposes the requirements, but also helps the user to make timely adjustments during the process. Specifically, the requirements coordination also includes: If a certain demand data meets the preset duration category, a result report request will be sent to the demand data initiator on the preset Nth day. It should be noted that N days here is a variable value, which can be a predefined task time * preset percentage K. If it is less than one day, one day will be completed, and then the result will be calculated; Feedback recognition for achievement reporting requests. Feedback can be in the form of images or videos. Recognition is image recognition. Recognition first identifies the practice items, then identifies the proportion of completed workload to the total tasks, and analyzes and generates evaluation progress. Send the assessment progress and demand data to the predefined guidance users corresponding to the users who implement the demand data, such as sending to teachers of the same school and major whose user information records are in the same school, requesting the estimated completion time and adjustment suggestions; Generate demand adjustment suggestions based on obtaining estimated completion time and adjustment suggestions.

[0070] According to the above content, on the one hand, this aspect helps the initiator to adjust the demand in time during the implementation process to avoid too many disputes later due to the large difference between actual and estimated. On the other hand, it is suitable for college teachers to carry out remote supervision of practice, so that they can understand the practical situation of their students in time.

[0071] To sum up, this method can help schools and teachers to better carry out labor practice activities, which is conducive to improving the effectiveness of practical activities. It is also conducive to resource coordination, mutual assistance and mutual benefit among social personnel, schools and other parties.

[0072] The embodiment of the present application also discloses an art education practice resource collaboration system.

[0073] The art education practice resource collaboration system includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the art education practice resource collaboration methods described above.

[0074] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A collaborative method for art education practice resources, characterized in that: include: S1. Resource management, which includes: If the user is visiting for the first time, an information collection form will be sent to the user, and feedback will be received, and the feedback data will be identified and archived; the content of the user information collection form includes the user's identity, contact information, skills, occupation, art education resources, and practice resources; Extract resource information from the information collection form, classify it, assign corresponding resource tags, and store it in a preset database; S2. Demand coordination, which includes: If the demand data uploaded by the user is received, the demand fields are generated by parsing; Search the database based on the required fields and calculate resource adaptability; If the resource adaptability of a certain data item meets the standard, the corresponding resource information is extracted and sent to the demander. After the demander initiates a demand communication request, a resource collaboration request is sent to the user corresponding to the resource information. After the request is approved, any one or more of the contact information, identity information, and occupation of the user corresponding to the resource information is sent to the demander. If the database search results do not meet the requirements, the fuzzy matching process is executed, and a resource collaboration request is sent to the matched user according to the execution result. After the request is approved, any one or more of the user's contact information, identity information, and occupation corresponding to the resource information is sent to the demander; the fuzzy matching process includes: Analyze the skills or occupations that are suitable for the required fields; Skills, occupations, art education resources, and practice resources are extracted from user information that meets the adaptation conditions, and summarized to generate a reference data table.

2. The art education practice resource collaboration method according to claim 1, characterized in that: It also includes creating an online aesthetic education community and / or creating a cloud space for any user and assigning data upload permissions to the user; The resource management also includes: performing practical education feature recognition on images, videos, and text data in online aesthetic education communities and cloud spaces, and updating resource tags corresponding to users in the database based on the recognition results; The fuzzy matching process further includes: Analyze the practical education characteristics that are adapted to the demand fields and define them as target characteristics; The database is searched based on the target features to determine matching users.

3. The art education practice resource collaboration method according to claim 1 is characterized by: The demand coordination further includes: Determine whether the demand data contains location information. If yes, proceed to the next step. If no, request additional location information and stop demand collaboration before obtaining the location information. Get the user's location information; If the location information of any user who is not the initiator of the demand data meets the preset coincidence condition with the location information corresponding to a certain demand data, a practice inquiry is sent to the corresponding user, and after the inquiry feedback is passed, the practice follow-up process is executed; The practice follows a process, which includes: If there is a task time in the demand data, a practice summary request is sent to the corresponding user at least at the end node of the task time; If the task time is missing in the demand data, the historical demand records of the demand data initiator and the same type of demand data stored in the database are called, and the task end time is estimated, and a practice summary request is sent at least at the task end time; Provide security responses and update user information based on feedback from practice summary requests.

4. The art education practice resource collaboration method according to claim 3 is characterized by: The security response includes: If there is only one user other than the initiator whose demand data matches, then if no practice feedback from the user is received after the practice summary request is sent for T1 time, a manual verification prompt is sent to the designated supervisory user; If there are multiple users other than the initiator who match the demand data, it is determined whether other corresponding users have uploaded practice feedback. If so, the process ends; if not, a manual verification prompt is sent to the designated supervisory user.

5. The art education practice resource collaboration method according to claim 4 is characterized in that: The security response further comprises: Calculate the distance between the location information corresponding to the demand data and the location information of the nearest adjacent user to obtain the adjacent user distance parameter; If the distance parameter of the adjacent user is less than the preset distance threshold, send a security collaboration request to the user, receive feedback, and respond based on the feedback; Wherein, the security collaboration request includes the location of the required data and a close observation request; The responding according to the feedback includes identifying the image or video if the feedback data contains an image or video, comparing the image or video with the required data, generating comparison data, and sending the comparison data to a designated supervisory user.

6. The art education practice resource collaboration method according to claim 3 is characterized in that: The resource management further comprises: Send the surplus / reused resource filling form to the initiator of the demand data; Analyze the feedback of the practice summary request of the practice users corresponding to the demand data, and obtain the surplus / reuse resource filling form; Receive feedback on the surplus / reused resource report form, identify it, and archive it to a preset secondary resource database; wherein the surplus / reused resource report form includes resource category, quantity, transfer fee, effective time and transaction location; The demand collaboration also includes: if the new demand data includes resource purchasing information, searching the secondary resource database for matching analysis to obtain matching surplus / recyclable resources, and calling corresponding user information to generate a recommendation data table.

7. The art education practice resource collaboration method according to claim 6 is characterized by: The resource management further comprises: If a user reports surplus / reused resources, the initial stock collection form corresponding to the surplus / reused resources will be sent to the user and the corresponding demand initiator; Bind any demand data, the corresponding initial stocking collection form, and surplus / reused resource information to generate a type of practice record; The demand collaboration also includes: if the new demand data includes resource purchasing information, generating a stock adjustment suggestion based on a historical practice record.

8. The art education practice resource collaboration method according to claim 7, characterized in that: The resource management further comprises: Identify the required fields and determine the type of required data; If the type of demand data meets the preset duration category, the actual duration is generated according to the feedback of the practice summary request, and the demand data and the number of users corresponding to the demand data are bound to generate the second type of practice record; The demand collaboration also includes: if the type of new demand data meets the preset duration category, generating demand adjustment suggestions based on the historical second-category practice records.

9. The art education practice resource collaboration method according to claim 8, characterized in that: The demand coordination further includes: If a certain demand data meets the preset duration category, a result report request will be sent to the initiator of the demand data on the preset Nth day; Identify feedback on the request for reporting results and analyze the evaluation progress; Send the assessment progress and demand data to the predefined guidance users corresponding to the users who implement the demand data, requesting the estimated completion time and adjustment suggestions; Generate demand adjustment suggestions based on obtaining estimated completion time and adjustment suggestions.

10. An art education practice resource collaboration system, characterized by: It comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the art education practice resource collaborative method as described in any one of claims 1-9.

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