Digital business processing method and system based on intelligent sports intangible cultural heritage information mining

Abstract

The present invention discloses a digital business processing method and system based on intelligent sports intangible cultural heritage information mining, and relates to the technical field of intelligent digital processing of intangible cultural heritage information. The digital business processing method based on intelligent sports intangible cultural heritage information mining obtains interpretation action image data, and performs matching analysis with each sports intangible cultural heritage item stored in a database, respectively, to obtain the initial matching index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item; obtains interpretation state data, and performs comprehensive analysis in combination with the corresponding initial matching index to obtain a comprehensive matching index, and performs category identification processing to obtain the category information of the sports intangible cultural heritage item; after determining the category information of the sports intangible cultural heritage item to be processed, the present invention obtains inheritance breadth data for data analysis to obtain an inheritance promotion index, and takes corresponding inheritance protection measures based on the inheritance promotion index, thereby evaluating the dissemination and influence of the item, and then monitoring the inheritance status of the sports intangible cultural heritage item.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent digital processing of intangible cultural heritage information, and specifically to a digital business processing method and system based on intelligent mining of sports intangible cultural heritage information. Background Art

[0002] Sports intangible cultural heritage information mining refers to the collection, organization and analysis of data and information related to sports intangible cultural heritage through modern technical means, revealing the multi-dimensional characteristics of culture, history, skills, etc. behind it, and providing theoretical support and practical basis for its protection and inheritance. Digital business processing refers to the intelligent collection, processing, analysis and display of data through information technology, with the help of modern tools such as big data, cloud computing, artificial intelligence, etc., to achieve efficient information management and value creation. In the inheritance of sports intangible cultural heritage, digital business processing can realize the virtual reproduction, accurate recording and diversified display of traditional sports events through digital means, providing a new way for the protection and promotion of traditional culture. Intelligence combines sports intangible cultural heritage information mining with digital business processing to deeply process sports intangible cultural heritage information, helping it to better integrate into modern society and achieve protection and inheritance.

[0003] The prior art, such as a digital business processing method and system based on intelligent information mining disclosed in a patent application with announcement number: CN118838940A, includes a platform management layer, a data collection and preprocessing layer, a data storage and management layer, a data processing and analysis layer, an information mining and machine learning layer, an intelligent application and decision support layer, a system integration and deployment layer, a security and privacy protection layer, a monitoring and operation and maintenance layer, and a continuous optimization and improvement layer. The present invention realizes efficient coordination of business functions, data processing, user interaction and system operation and maintenance through a highly integrated platform management layer, improves the flexibility and response speed of the overall business processing, and ensures high-quality data input through the multi-source integration, deep cleaning and integration mechanism of the data collection and preprocessing layer; the data storage and management layer effectively responds to the storage, management and analysis challenges of big data and improves data processing efficiency through the comprehensive use of distributed databases, data warehouses and data lakes.

[0004] Based on the above scheme, it is found that the limitations of the existing technology include at least the following problems. First, the existing technology lacks customized analysis and matching models for sports intangible cultural heritage items in data processing of sports intangible cultural heritage items, making it difficult to accurately capture the subtle differences between the performers' movements and the intangible cultural heritage items, which in turn leads to large matching errors and makes it difficult to identify the types of intangible cultural heritage items. Secondly, the existing technology lacks the ability to deeply match and correct the data of sports intangible cultural heritage items, that is, it does not introduce factors such as physiological state and movement state, making it difficult to accurately match and optimize sports intangible cultural heritage items. Finally, the existing technology does not evaluate the inheritance breadth of intangible cultural heritage items, making it difficult to implement personalized inheritance protection measures based on the promotion index of specific projects. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a digital business processing method and system based on intelligent sports intangible cultural heritage information mining, which solves the problems that the prior art lacks the ability to match and correct sports intangible cultural heritage items and is difficult to implement personalized inheritance protection measures.

[0006] To achieve the above purpose, the present invention is implemented by the following technical solutions: a digital business processing method based on intelligent sports intangible cultural heritage information mining, comprising the following steps: obtaining the interpretation action image data of the sports intangible cultural heritage items to be processed, and matching and analyzing them with each sports intangible cultural heritage item stored in the database, respectively, to obtain the initial matching index between the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database; obtaining the interpretation state data of the sports intangible cultural heritage items to be processed for comprehensive analysis, to obtain the matching correction index between the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and combining the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database for comprehensive analysis, to obtain the comprehensive matching index between the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and performing type identification processing to obtain the type information of the sports intangible cultural heritage items to be processed; after determining the type information of the sports intangible cultural heritage items to be processed, obtaining the inheritance breadth data of the sports intangible cultural heritage items to be processed, and performing data analysis to obtain the inheritance and promotion index of the sports intangible cultural heritage items to be processed; comparing and analyzing the inheritance and promotion index of the sports intangible cultural heritage items to be processed with a preset inheritance and promotion index threshold, and taking corresponding inheritance protection measures based on the comparison and analysis results.

[0007] Furthermore, the action image data specifically refers to the pixel value and two-dimensional coordinates of each pixel point of each action image; the interpretation status data includes interpretation action status data and interpretation physiological status data; the interpretation action status data includes the interpretation duration value of each action, the force intensity value of each key part and the angular velocity value of each key joint; the interpretation physiological status data includes height value, nerve conduction velocity value, muscle extensibility value and the motion amplitude value of each key joint; the inheritance breadth data includes inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value and inheritance activity development value.

[0008] Furthermore, the formula for calculating the comprehensive matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is as follows: ;in, The sports intangible cultural heritage items to be processed are The comprehensive matching index of various sports intangible cultural heritage items, The sports intangible cultural heritage items to be processed are The initial matching index of the sports intangible cultural heritage items, is the initial matching coefficient stored in the database, The sports intangible cultural heritage items to be processed are Matching correction index of various sports intangible cultural heritage items, is the correction factor stored in the database, , is a natural constant.

[0009] Furthermore, the specific steps of obtaining the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are as follows: the pixel value and the two-dimensional coordinates of each pixel point of each action image of the sports intangible cultural heritage item to be processed are input into a pre-trained classification model for recognition analysis to obtain several key areas of each action image of the sports intangible cultural heritage item to be processed; and the two-dimensional coordinates of each pixel point in each key area of ​​each action image of the sports intangible cultural heritage item to be processed are averaged and analyzed to obtain the two-dimensional coordinates of each key area of ​​each action image of the sports intangible cultural heritage item to be processed; and the two-dimensional coordinates of each key area of ​​each action image of the sports intangible cultural heritage item to be processed are comprehensively analyzed to obtain the The curvature values ​​of several groups of adjacent key areas of each action image; and obtaining the reference interpretation action image data of each sports intangible cultural heritage item stored in the database, that is, the reference pixel value and reference two-dimensional coordinates of each reference pixel point of each reference action image, and performing comprehensive analysis to obtain the reference curvature values ​​of several groups of adjacent reference key areas of each reference action image of each sports intangible cultural heritage item stored in the database; and performing comprehensive analysis on the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed and the reference curvature values ​​of several groups of adjacent reference key areas of each reference action image of each sports intangible cultural heritage item stored in the database, respectively, to obtain the initial matching index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database.

[0010] Furthermore, the classification model is specifically a convolutional neural network, which includes an input layer, a convolutional layer, an activation function, a pooling layer, a flattening layer, a fully connected layer, and an output layer, and the specific steps of obtaining several key areas of each action image of the sports intangible cultural heritage item to be processed are as follows: in the convolutional layer of the convolutional neural network, feature extraction is performed on the pixel value of each pixel point of each action image of the sports intangible cultural heritage item to be processed to obtain a preliminary feature atlas of each action image of the sports intangible cultural heritage item to be processed; the feature map of each action image of the sports intangible cultural heritage item to be processed is nonlinearly transformed in combination with the activation function to obtain a complex feature atlas of each action image of the sports intangible cultural heritage item to be processed; in the pooling layer of the convolutional neural network, the feature map of each action image of the sports intangible cultural heritage item to be processed is nonlinearly transformed to obtain a complex feature atlas of each action image of the sports intangible cultural heritage item to be processed; In the convolution layer, the complex feature map of each action image of the sports intangible cultural heritage item to be processed is subjected to dimensionality reduction processing to obtain a dimensionality reduction feature map set of each action image of the sports intangible cultural heritage item to be processed, and the flattening layer is combined to perform flattening processing to obtain a feature vector set of each action image of the sports intangible cultural heritage item to be processed; in the fully connected layer of the convolutional neural network, the feature vector set of each action image of the sports intangible cultural heritage item to be processed is combined to obtain a classification feature set of each action image of the sports intangible cultural heritage item to be processed; in the output layer of the convolutional neural network, the classification feature set of each action image of the sports intangible cultural heritage item to be processed is classified to obtain several key areas of each action image of the sports intangible cultural heritage item to be processed.

[0011] Furthermore, the formula for calculating the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed and the initial matching index with each sports intangible cultural heritage item stored in the database is as follows: ;in, For the sports intangible cultural heritage items to be processed Action image The curvature value of the adjacent key area of ​​the group, For the sports intangible cultural heritage items to be processed Action image The two-dimensional coordinates of the key areas, For the sports intangible cultural heritage items to be processed Action image The two-dimensional coordinates of the key areas, The sports intangible cultural heritage items to be processed are The initial matching index of the sports intangible cultural heritage items, The first The first Action image The reference curvature value of the adjacent reference key area of ​​the group, 1, 2, 3, ..., , is the number of action images, 1, 2, 3, ..., , is the number of adjacent key area groups, 1, 2, 3, ..., , is the number of key regions, 1, 2, 3, ..., , The number of sports intangible cultural heritage items stored in the database.

[0012] Furthermore, the specific steps for obtaining the matching correction index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are as follows: obtain the reference performance duration value of each action of each sports intangible cultural heritage item stored in the database, the reference force intensity value of each key part, and the reference angular velocity value of each key joint, and conduct a comprehensive analysis based on the performance duration value of each action of the sports intangible cultural heritage item to be processed, the force intensity value of each key part, and the angular velocity value of each key joint to obtain the action correction index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; obtain the reference height value, reference nerve conduction velocity value, reference muscle extensibility value, and each angular velocity value of each sports intangible cultural heritage item stored in the database. The reference motion amplitude value of each key joint is obtained by combining the height value, nerve conduction velocity value, muscle extensibility value and motion amplitude value of each key joint of the sports intangible cultural heritage item to be processed with a comprehensive analysis, and the physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is obtained; and the action correction index and physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are comprehensively analyzed to obtain the matching correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; wherein, the formula for calculating the action correction index, physiological correction index and matching correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is as follows:

[0013] ;

[0014] in, The sports intangible cultural heritage items to be processed are The movement correction index of various sports intangible cultural heritage items, For the sports intangible cultural heritage items to be processed The duration of the action, The first The first The reference performance duration value of each action, is the deduction duration coefficient stored in the data, For the sports intangible cultural heritage items to be processed The force intensity value of each key part, The first The first The reference force intensity value of each key part, is the force coefficient stored in the database, For the sports intangible cultural heritage items to be processed The angular velocity values ​​of the key joints, The first The first The reference angular velocity values ​​of the key joints, is the angular velocity coefficient stored in the database, , The sports intangible cultural heritage items to be processed are Physiological correction index of various sports intangible cultural heritage items, is the height value of the sports intangible cultural heritage item to be processed, The first Reference height values ​​for various sports intangible cultural heritage items, is the height coefficient stored in the database, is the nerve conduction velocity value of the sports intangible cultural heritage item to be processed, The first Reference nerve conduction velocity values ​​for various sports intangible cultural heritage items, is the conductivity coefficient stored in the database, is the muscle extensibility value of the sports intangible cultural heritage item to be processed, The first Reference muscle extensibility values ​​for various sports intangible cultural heritage items, is the extension coefficient stored in the database, For the sports intangible cultural heritage items to be processed The range of motion of the key joints, The first The first The range of motion of the key joints, is the amplitude coefficient stored in the database, , The sports intangible cultural heritage items to be processed are Matching correction index of various sports intangible cultural heritage items, is the action correction coefficient stored in the database, is the physiological correction factor stored in the database, , 1, 2, 3, ..., , is the number of sports intangible cultural heritage items stored in the database, 1, 2, 3, ..., , is the number of actions, 1, 2, 3, ..., , is the number of key parts, 1, 2, 3, ..., , is the number of key joints.

[0015] Furthermore, the specific steps for obtaining the inheritance and promotion index of the sports intangible cultural heritage project to be processed are as follows: normalizing the inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage project to be processed; and comprehensively analyzing the normalized inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage project to be processed to obtain the inheritance and promotion index of the sports intangible cultural heritage project to be processed; wherein, the formula for calculating the inheritance and promotion index of the sports intangible cultural heritage project to be processed is as follows:

[0016] ;in, The inheritance and promotion index of the sports intangible cultural heritage items to be processed. is the normalized inheritance duration value of the sports intangible cultural heritage item to be processed, is the duration coefficient stored in the database, is the normalized social media coverage value of the sports intangible cultural heritage items to be processed, is the coverage factor stored in the database, is the normalized participation value of the inheritance activities of the sports intangible cultural heritage items to be processed, is the participation coefficient stored in the database, is the normalized participation retention value of the inheritance activities of the sports intangible cultural heritage items to be processed, is the retention coefficient stored in the database, is the normalized inheritance activity cycle value of the sports intangible cultural heritage item to be processed, is the periodic coefficient stored in the database, is the inheritance activity development value of the sports intangible cultural heritage item to be processed after normalization, is the development coefficient stored in the database, , is a natural constant.

[0017] Furthermore, the specific steps for taking corresponding inheritance protection measures based on the comparison and analysis results are as follows: if the inheritance and promotion index of the sports intangible cultural heritage project to be processed is lower than or equal to the preset inheritance and promotion index threshold, the first inheritance protection measure is taken; if the comprehensive inheritance index of the sports intangible cultural heritage project to be processed is higher than the preset comprehensive inheritance index threshold, the second inheritance protection measure is taken.

[0018] The digital business processing system based on intelligent sports intangible cultural heritage information mining includes: a data acquisition module, a correction identification analysis module, an inheritance promotion analysis module, and a sports intangible cultural heritage inheritance protection module; the data acquisition module is used to acquire the interpretation action image data of the sports intangible cultural heritage items to be processed, and respectively perform matching analysis with each sports intangible cultural heritage item stored in a database to obtain the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database; the correction identification analysis module is used to acquire the interpretation state data of the sports intangible cultural heritage items to be processed for comprehensive analysis, obtain the matching correction index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and combine the sports intangible cultural heritage items to be processed with the matching correction index of the sports intangible cultural heritage items to be processed and ... The initial matching index of each sports intangible cultural heritage item stored in the database is comprehensively analyzed to obtain the comprehensive matching index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database, and the type identification processing is performed to obtain the type information of the sports intangible cultural heritage item to be processed; the inheritance and promotion analysis module is used to obtain the inheritance breadth data of the sports intangible cultural heritage item to be processed after determining the type information of the sports intangible cultural heritage item to be processed, and perform data analysis to obtain the inheritance and promotion index of the sports intangible cultural heritage item to be processed; the sports intangible cultural heritage inheritance and protection module is used to compare and analyze the inheritance and promotion index of the sports intangible cultural heritage item to be processed with a preset inheritance and promotion index threshold, and take corresponding inheritance protection measures based on the comparison and analysis results.

[0019] The present invention has the following beneficial effects:

[0020] (1) This digital business processing method based on intelligent sports intangible cultural heritage information mining conducts comprehensive analysis by combining multi-dimensional information such as performance action image data, action status and physiological data, so that it can perform multi-level matching corrections on the sports intangible cultural heritage items to be processed and other items in the database. The combination of the initial matching index and the corrected matching index improves the matching accuracy of the sports intangible cultural heritage items, thereby effectively avoiding incorrect matching.

[0021] (2) This digital business processing method based on intelligent sports intangible cultural heritage information mining can evaluate the dissemination and influence of the sports intangible cultural heritage project by analyzing the inheritance and promotion index of the sports intangible cultural heritage project to be processed, and then effectively monitor the inheritance status of the sports intangible cultural heritage project and take necessary protection measures in a timely manner, so as to help decision makers accurately evaluate and intervene in the survival status of the intangible cultural heritage project, and then ensure the sustainable development and inheritance of the sports intangible cultural heritage project.

[0022] (3) This digital business processing method based on intelligent sports intangible cultural heritage information mining promotes the digital and intelligent management of sports intangible cultural heritage projects by combining digital technology with artificial intelligence, thereby improving the efficiency and accuracy of data processing, and further promoting the modernization and intelligence of the protection and management methods of intangible cultural heritage projects, thereby improving the overall protection effect of sports intangible cultural heritage projects.

[0023] (4) The digital business processing system based on intelligent sports intangible cultural heritage information mining introduces multi-dimensional data analysis and intelligent correction mechanism, so that the protection measures of sports intangible cultural heritage projects can be finely adjusted according to specific circumstances. The comparison analysis of the inheritance and promotion index and the threshold can identify whether the sports intangible cultural heritage project to be processed is a project that needs key protection, and formulate personalized inheritance strategies. Through intelligent processing methods, targeted protection and inheritance of sports intangible cultural heritage projects can be carried out, thereby improving the inheritance effect of the project.

[0024] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of the digital business processing method based on intelligent sports intangible cultural heritage information mining of the present invention.

[0026] Figure 2 The present invention is a flowchart of the steps of obtaining the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database in the digital business processing method based on intelligent sports intangible cultural heritage information mining of the present invention.

[0027] Figure 3 This is a block diagram of the digital business processing system based on intelligent sports intangible cultural heritage information mining of the present invention. DETAILED DESCRIPTION

[0028] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0029] First, the interpretation action image data of the sports intangible cultural heritage item to be processed is obtained, and matching analysis is performed with each sports intangible cultural heritage item stored in the database to obtain the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item in the database. Secondly, the interpretation status data of the sports intangible cultural heritage item to be processed is obtained for comprehensive analysis to obtain the matching correction index between the sports intangible cultural heritage item to be processed and the corresponding item, and a comprehensive analysis is performed in combination with the corresponding initial matching index to obtain the comprehensive matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database. Then, type identification processing is performed to obtain type information of the sports intangible cultural heritage item to be processed. Then, after determining the type information of the sports intangible cultural heritage item to be processed, the inheritance breadth data of the sports intangible cultural heritage item to be processed is obtained, and data analysis is performed to obtain the inheritance promotion index, and corresponding inheritance protection measures are taken based on the inheritance promotion index.

[0030] See also Figure 1 The embodiment of the present invention provides a technical solution: a digital business processing method based on intelligent sports intangible cultural heritage information mining, comprising the following steps: obtaining the interpretation action image data of the sports intangible cultural heritage item to be processed (i.e., the image of each interpretation action of the performer in the process of interpreting the sports intangible cultural heritage item), and performing matching analysis with each sports intangible cultural heritage item stored in the database, respectively, to obtain the initial matching index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; obtaining the interpretation state data of the sports intangible cultural heritage item to be processed for comprehensive analysis, to obtain the matching correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database, and combining the interpretation state data of the sports intangible cultural heritage item to be processed with the matching correction index of the sports intangible cultural heritage item to be processed; A comprehensive analysis is performed on the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database to obtain the comprehensive matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and type identification processing is performed to obtain type information of the sports intangible cultural heritage items to be processed; after determining the type information of the sports intangible cultural heritage items to be processed, the inheritance breadth data of the sports intangible cultural heritage items to be processed is obtained, and data analysis is performed to obtain the inheritance and promotion index of the sports intangible cultural heritage items to be processed; the inheritance and promotion index of the sports intangible cultural heritage items to be processed is compared and analyzed with the preset inheritance and promotion index threshold, and corresponding inheritance protection measures are taken based on the comparison and analysis results.

[0031] Among them, the specific process of type identification processing is: the comprehensive matching index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is judged and analyzed respectively with the preset comprehensive matching index range of the corresponding sports intangible cultural heritage item. If the comprehensive matching index of the sports intangible cultural heritage item to be processed and the sports intangible cultural heritage item stored in the database is within the preset comprehensive matching index range of the corresponding sports intangible cultural heritage item, then the type of the sports intangible cultural heritage item to be processed is consistent with that of the corresponding sports intangible cultural heritage item stored in the database, that is, the type information of the sports intangible cultural heritage item to be processed; if the comprehensive matching index of the sports intangible cultural heritage item to be processed and the sports intangible cultural heritage item stored in the database is outside the preset comprehensive matching index range of the corresponding sports intangible cultural heritage item, then the type of the sports intangible cultural heritage item to be processed is inconsistent with that of the corresponding sports intangible cultural heritage item stored in the database.

[0032] The action image data specifically include the pixel value and two-dimensional coordinates of each pixel point of each action image. The interpretation status data include interpretation action status data and interpretation physiological status data. The interpretation action status data include the interpretation duration value of each action and the force intensity value of each key part (including but not limited to hands, abdomen, back, waist, etc.) and the angular velocity value of each key joint. The interpretation physiological status data include height value, nerve conduction velocity value, muscle extensibility value and the motion amplitude value of each key joint. The inheritance breadth data include inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value.

[0033] The two-dimensional coordinates have the upper left corner of the motion image as the origin, the horizontal direction of the motion image as the X-axis, the vertical direction of the motion image as the Y-axis, and the two-dimensional coordinates are consistent with the coordinate system of the reference two-dimensional coordinates.

[0034] The performance duration value is the rehearsal time required for the action from the beginning to the end, and the performance duration value can be measured and obtained through a motion sensor.

[0035] The force intensity value is the magnitude of the force applied when performing an action, reflecting the degree of force exerted by the muscle in a specific action. The force intensity value can be obtained through a piezoelectric sensor.

[0036] The angular velocity value is the rate at which the angle of a joint changes during an action, which can be obtained through a joint angle sensor.

[0037] The nerve conduction velocity value is the speed at which nerve signals are transmitted from the brain or spinal cord to the muscles. It can be measured by a nerve conduction velocity detector and the measurement results uploaded to a database.

[0038] The muscle extensibility value is the ability of the muscle to be stretched, that is, the maximum range to which the muscle can be extended (i.e. tension). It can be measured by a muscle elasticity tester and the measurement results can be uploaded to the database.

[0039] The range of motion value is the maximum range of motion that the key joint can perform (i.e. the maximum angle difference formed at both ends of the key joint during the activity). It can be measured by an electronic range of motion meter and the measurement results can be uploaded to the database.

[0040] The inheritance duration value is the length of time from the beginning of inheritance of the sports intangible cultural heritage project to the current point in time. The longer the duration, the more solid the inheritance foundation of the project, which also means that the project has a longer-lasting social influence. The inheritance duration value can be obtained through the historical records of the sports intangible cultural heritage project stored in the database.

[0041] The value of heritage social media coverage is the sum of the number of likes and shares of original content related to the sports intangible cultural heritage project posted by users on social media platforms. The more likes and shares mean the popularity of the project content and its dissemination effect, which can reflect the recognition and dissemination breadth of the project among the audience. The number of likes and shares can be obtained through third-party social media analysis tools (such as Sprout Social, Hootsuite, etc.).

[0042] The participation value of inheritance activities is the sum of the number of activities held for the sports intangible cultural heritage project and the number of people participating in each activity. A high degree of participation indicates that the project has more supporters and practitioners, which can promote the in-depth inheritance of the project. The participation value of inheritance activities can be obtained through the inheritance activity records stored in the database.

[0043] The retention value of participation in inheritance activities is the number of people who have participated in the activities multiple times (greater than or equal to 2 times) among the number of activities held for the sports intangible cultural heritage project, and the retention value of participation in inheritance activities can be obtained through the inheritance activity records stored in the database.

[0044] The inheritance activity cycle value is the average duration interval of each activity in the number of activities of the sports intangible cultural heritage project. The shorter the inheritance activity cycle value, the more frequently the project is disseminated, attracting a wider audience, and the influence gradually expands, which helps the project cover more geographical areas and communities and improve its dissemination breadth. The duration interval of each activity can be obtained through the inheritance activity records stored in the database.

[0045] The development value of inheritance activities is the number of activities held for the sports intangible cultural heritage project using modern technologies such as virtual reality (VR) and augmented reality (AR). The use of modern technologies such as VR and AR can improve the interactivity and sense of participation of inheritance activities, allowing participants to experience the sports intangible cultural heritage project more immersively, thereby increasing the number of participants in the activities and the breadth of dissemination. The development value of inheritance activities can be obtained through the inheritance activity records stored in the database.

[0046] Specifically, the formula for calculating the comprehensive matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is as follows: ;in, The sports intangible cultural heritage items to be processed are The comprehensive matching index of various sports intangible cultural heritage items, The sports intangible cultural heritage items to be processed are The initial matching index of the sports intangible cultural heritage items, is the initial matching coefficient stored in the database, The sports intangible cultural heritage items to be processed are Matching correction index of various sports intangible cultural heritage items, is the correction factor stored in the database, , is a natural constant and in this embodiment takes a value of 2.71.

[0047] It needs to be explained that , The specific acquisition process is: read the initial matching index and matching correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database (it should be noted here that the initial matching index and the matching correction index are dimensionless values, so they can be directly calculated), perform mean analysis, obtain the initial matching index mean and matching correction index mean of the sports intangible cultural heritage item to be processed and the sports intangible cultural heritage items stored in the database, perform sum analysis, obtain the comprehensive matching sum value, perform proportion analysis on the initial matching index mean and matching correction index mean of the sports intangible cultural heritage item to be processed and the sports intangible cultural heritage items stored in the database, and use the proportion analysis results as the corresponding coefficients.

[0048] In this implementation scheme, the initial matching index and the revised matching index are comprehensively calculated to obtain a comprehensive matching index, so as to perform multi-level matching corrections on the sports intangible cultural heritage items to be processed and other items in the database, thereby improving the recognition accuracy of the sports intangible cultural heritage items. Secondly, by reading the initial matching index and matching correction index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and performing mean analysis, the initial and revised matching indexes of different items can be comprehensively considered, thereby making the final comprehensive matching index more precise and representative, thereby ensuring the reliability and accuracy of the matching results.

[0049] Specifically, Figure 2 As shown, the specific steps for obtaining the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are as follows: the pixel value and the two-dimensional coordinates of each pixel point of each action image of the sports intangible cultural heritage item to be processed are input into a pre-trained classification model for recognition analysis to obtain several key areas (including but not limited to the left shoulder area, the left elbow area, the left wrist area, the left knee area, the left ankle area, the left toe area, etc.) of each action image of the sports intangible cultural heritage item to be processed; and the two-dimensional coordinates of each pixel point in each key area of ​​each action image of the sports intangible cultural heritage item to be processed are averaged and analyzed to obtain the two-dimensional coordinates of each key area of ​​each action image of the sports intangible cultural heritage item to be processed; and the two-dimensional coordinates of each key area of ​​each action image of the sports intangible cultural heritage item to be processed are comprehensively analyzed to obtain the two-dimensional coordinates of each action image of the sports intangible cultural heritage item to be processed. The invention relates to a method for obtaining the curvature values ​​of several groups of adjacent key areas of an image of the sports intangible cultural heritage item to be processed; and obtaining the reference deductive action image data of each sports intangible cultural heritage item stored in the database, that is, the reference pixel value and the reference two-dimensional coordinate of each reference pixel point of each reference action image, and performing a comprehensive analysis (and the comprehensive analysis process is consistent with the step of obtaining the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed), and obtaining the reference curvature values ​​of several groups of adjacent reference key areas of each reference action image of each sports intangible cultural heritage item stored in the database; and performing a comprehensive analysis on the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed and the reference curvature values ​​of several groups of adjacent reference key areas of each reference action image of each sports intangible cultural heritage item stored in the database, and obtaining the initial matching index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database.

[0050] The coordinate system of the reference two-dimensional coordinates is consistent with that of the two-dimensional coordinates, and the adjacent key areas correspond one-to-one to the adjacent reference key areas.

[0051] The formula for calculating the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed and the initial matching index with each sports intangible cultural heritage item stored in the database is as follows: ;in, For the sports intangible cultural heritage items to be processed Action image The curvature value of the adjacent key area of ​​the group, For the sports intangible cultural heritage items to be processed Action image The two-dimensional coordinates of the key areas, For the sports intangible cultural heritage items to be processed Action image The two-dimensional coordinates of the key areas, The sports intangible cultural heritage items to be processed are The initial matching index of the sports intangible cultural heritage items, The first The first Action image The reference curvature values ​​of the adjacent reference key areas of the group (the adjacent key areas correspond to the adjacent reference key areas one by one), 1, 2, 3, ..., , is the number of action images, , 2, 3, …, , is the number of adjacent key area groups, 1, 2, 3, ..., , is the number of key regions, and -1, 1, 2, 3, ..., , The number of sports intangible cultural heritage items stored in the database.

[0052] In this implementation scheme, by performing a detailed analysis on each pixel point of each action image of the sports intangible cultural heritage item to be processed, combined with the two-dimensional coordinates and curvature values ​​of the key areas, the key features of the action are accurately captured, thereby providing high-precision matching results, which in turn helps to accurately identify the type of the sports intangible cultural heritage item to be processed, thereby improving the credibility of the initial matching index, and by using the curvature value as a measurement standard, the matching process is made more flexible, and can automatically adapt to different actions, and can timely identify the similarities in different actions, thereby ensuring that the matching evaluation of each sports intangible cultural heritage item can be adjusted accordingly according to the specific situation, thereby improving the adaptability and intelligence of the matching.

[0053] Specifically, the classification model is a convolutional neural network, which includes an input layer, a convolutional layer, an activation function, a pooling layer, a flattening layer, a fully connected layer, and an output layer. The specific steps for obtaining several key areas of each action image of the sports intangible cultural heritage item to be processed are as follows: In combination with the convolutional layer, feature extraction is performed on the pixel value of each pixel point of each action image of the sports intangible cultural heritage item to be processed (that is, the convolution kernel will slide on the image to extract different local features, and under each convolution kernel, each area is convolutionally operated to obtain a set of feature maps), and a preliminary feature map set of each action image of the sports intangible cultural heritage item to be processed is obtained (because the convolutional layer will set multiple convolution kernels, and each convolution kernel will generate a specific multidimensional feature map, and the feature map includes but is not limited to edges, textures, shapes, etc.); In combination with the (ReLU) activation function, a nonlinear transformation is performed on the feature map of each action image of the sports intangible cultural heritage item to be processed, and a complex feature map set of each action image of the sports intangible cultural heritage item to be processed is obtained (such as nonlinear action features such as elbow bending and shoulder rotation); and in combination with the pooling layer, a dimensionality reduction processing is performed on the complex feature map of each action image of the sports intangible cultural heritage item to be processed (that is, the most The large pooling operation is used for processing, while the maximum pooling operation reduces the dimension by selecting the maximum value in a specific area, and 2x2 is selected as the pooling window, and the maximum value is selected in the area to represent the characteristics of this small area), and the dimensionality reduction feature atlas of each action image of the sports intangible cultural heritage item to be processed is obtained, and the flattening layer is combined with the flattening processing (that is, the multi-dimensional feature map is flattened into a one-dimensional feature vector), and the feature vector set of each action image of the sports intangible cultural heritage item to be processed is obtained; the fully connected layer is combined with the feature vector set of each action image of the sports intangible cultural heritage item to be processed (that is, the input feature vector set is combined into a higher-level feature by weighted summation, nonlinear activation, etc., and through the connection of multiple neurons, each neuron weights the input feature and passes the result to the next neuron), and the classification feature set of each action image of the sports intangible cultural heritage item to be processed is obtained (that is, the state or posture of each identified part, such as elbows, shoulders, knees, etc.); the output layer is combined with the classification feature set of each action image of the sports intangible cultural heritage item to be processed to obtain several key areas of each action image of the sports intangible cultural heritage item to be processed.

[0054] The specific process of classification processing is as follows:

[0055] After receiving the classification feature set and processing it in the fully connected layer, a set of high-level feature vectors are obtained. These feature vectors contain detailed information of each action image, and the feature vectors are sent to the output layer.

[0056] The output layer combines the Softmax function to classify the extracted feature vector set. The output layer contains multiple neurons, each neuron corresponds to a part and outputs the probability value of the part.

[0057] The Softmax function converts the output of each neuron into a probability. For each region (such as a pixel or region), Softmax will calculate the probability that it belongs to each part (elbow, shoulder, knee, etc.), and the sum of these probability values ​​is 1, indicating the possibility that the region belongs to a certain part among all part categories. At the same time, the part with the largest probability value is marked as the region category.

[0058] For example, suppose the output layer has 3 neurons, corresponding to the elbow, knee, and shoulder:

[0059] For a specific region in an image, the Softmax function may output:

[0060] Probability of elbow: 0.7.

[0061] Probability of knee: 0.2.

[0062] Probability of shoulder: 0.1.

[0063] This means that there is a 70% probability that the region belongs to the elbow, a 20% probability that the region belongs to the knee, and a 10% probability that the region belongs to the shoulder, so the region is the elbow.

[0064] Convolutional neural networks also include a loss function, which is a function used to evaluate the difference between the model's predicted results and the actual results, that is, to measure the accuracy of the network's predictions.

[0065] The input layer is used to receive external input data, namely action image data.

[0066] The convolutional layer is used to extract local features of the input data (action image data).

[0067] The activation function is used to increase the expressive power of the network, enabling the network to learn and fit nonlinear data relationships and extract more complex features.

[0068] Pooling layers are used to reduce the spatial dimensions (width and height) of the data, thereby reducing the amount of computation and retaining the most important information.

[0069] The flatten layer is used to convert a multi-dimensional convolutional feature map (such as the width and height of a two-dimensional image) into a one-dimensional vector.

[0070] The fully connected layer is used to integrate the features extracted by convolution and pooling for decision making and classification.

[0071] The output layer is used to generate multiple probabilities for each key part category according to the target task of the network, and output the key part category with the largest probability.

[0072] The training process of the convolutional neural network is as follows: obtaining several groups of action image data of sports intangible cultural heritage items to be processed, and establishing a heritage action data set, and dividing the heritage action data set into a heritage action training data set and a heritage action verification data set;

[0073] Initialize the convolutional neural network, specifically, initialize the connection weights of each layer in the convolutional neural network (the "connection strength" between the input signal of each layer of neurons and the output signal of the previous layer);

[0074] Train the pre-established classification model based on the inherited action training dataset and calculate the traffic regression loss function;

[0075] The classification model performance is evaluated based on the inherited action verification dataset, and the model parameters are adjusted according to the verification results until the model prediction results meet the expected standards.

[0076] In this implementation, through the convolutional neural network, local features can be automatically extracted from the input action image, and more complex and abstract features can be gradually extracted through multi-level convolution, activation, pooling and other operations, thereby improving the efficiency and accuracy of feature extraction, and by using the Softmax function to classify the feature vector of each action image, an accurate part category (such as elbow, shoulder, knee, etc.) is assigned to each area, and the most likely area is selected according to the respective probability values, so that the recognition result of each part is more accurate and the risk of misclassification is reduced. Secondly, by using the inherited action training data set and the verification data set, the parameters of the convolutional neural network are continuously adjusted during the training process to minimize the loss function and ensure the prediction accuracy of the classification model. Based on the evaluation and feedback of the verification set, overfitting can be effectively avoided to ensure the generalization ability of the model, thereby adapting to different action images and actual application scenarios.

[0077] Specifically, the specific steps for obtaining the matching correction index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are as follows: obtain the reference performance duration value of each action (reference performer) and the reference force intensity value of each key part and the reference angular velocity value of each key joint for each sports intangible cultural heritage item stored in the database, and conduct a comprehensive analysis based on the performance duration value of each action, the force intensity value of each key part and the angular velocity value of each key joint of the sports intangible cultural heritage item to be processed to obtain the action correction index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; obtain the reference height value (reference performer), reference nerve conduction velocity value, reference muscle The muscle ductility value and the reference motion range value of each key joint are combined with the height value, nerve conduction velocity value, muscle ductility value and the motion range value of each key joint of the sports intangible cultural heritage item to be processed, and a comprehensive analysis is performed to obtain the physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; and the action correction index and physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are comprehensively analyzed to obtain the matching correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; wherein, the formula for calculating the action correction index, physiological correction index and matching correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is as follows:

[0078] ;in, The sports intangible cultural heritage items to be processed are The movement correction index of various sports intangible cultural heritage items, For the sports intangible cultural heritage items to be processed The duration of the action, The first The first The reference performance duration value of each action, is the deduction duration coefficient stored in the data, For the sports intangible cultural heritage items to be processed The force intensity value of each key part, The first The first The reference force intensity value of each key part, is the force coefficient stored in the database, For the sports intangible cultural heritage items to be processed The angular velocity values ​​of the key joints, The first The first The reference angular velocity values ​​of the key joints, is the angular velocity coefficient stored in the database, , The sports intangible cultural heritage items to be processed are Physiological correction index of various sports intangible cultural heritage items, is the height value of the sports intangible cultural heritage item to be processed, The first Reference height values ​​for various sports intangible cultural heritage items, is the height coefficient stored in the database, is the nerve conduction velocity value of the sports intangible cultural heritage item to be processed, The first Reference nerve conduction velocity values ​​for various sports intangible cultural heritage items, is the conductivity coefficient stored in the database, is the muscle extensibility value of the sports intangible cultural heritage item to be processed, The first Reference muscle extensibility values ​​for various sports intangible cultural heritage items, is the extension coefficient stored in the database, For the sports intangible cultural heritage items to be processed The range of motion of the key joints, The first The first The range of motion of the key joints, is the amplitude coefficient stored in the database, , The sports intangible cultural heritage items to be processed are Matching correction index of various sports intangible cultural heritage items, is the action correction coefficient stored in the database, is the physiological correction factor stored in the database, , 1, 2, 3, ..., , is the number of sports intangible cultural heritage items stored in the database, 1, 2, 3, ..., , is the number of actions, and , 1, 2, 3, ..., , is the number of key parts, 1, 2, 3, ..., , is the number of key joints.

[0079] It needs to be explained that , , The specific acquisition process is: read the reference interpretation time value of each action of each sports intangible cultural heritage item stored in the database, the reference force intensity value of each key part, and the reference angular velocity value of each key joint, perform mean analysis, and obtain the reference interpretation time mean, reference force intensity mean, and reference angular velocity mean stored in the database, perform standardization, and obtain the reference interpretation time mean, reference force intensity mean, and reference angular velocity mean stored in the standardized database, perform sum analysis, and obtain the action correction sum value, perform proportion analysis on the reference interpretation time mean, reference force intensity mean, and reference angular velocity mean stored in the standardized database, respectively, and the action correction sum value, and use the proportion analysis results as the corresponding coefficients.

[0080] , , , The process is: read the reference height value, reference nerve conduction velocity value, reference muscle extensibility value and reference motion range value of each key joint stored in the database, and perform mean analysis to obtain the mean value of the reference height, reference nerve conduction velocity, reference muscle extensibility and reference motion range stored in the database, perform standardization to obtain the mean value of the reference height, reference nerve conduction velocity, reference muscle extensibility and reference motion range stored in the standardized database, perform sum analysis to obtain the physiologically corrected sum value, perform proportion analysis on the mean value of the reference height, reference nerve conduction velocity, reference muscle extensibility and reference motion range stored in the standardized database respectively with the physiologically corrected sum value, and use the proportion analysis results as the corresponding coefficients.

[0081] , The specific acquisition process is: read the action correction index and physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database (it should be noted here that the action correction index and the physiological correction index can therefore be directly calculated), perform sum analysis, obtain the mean value of the action correction index and the mean value of the physiological correction index of the sports intangible cultural heritage item to be processed and the sports intangible cultural heritage items stored in the database, perform sum analysis, obtain the comprehensive correction sum value, perform proportion analysis on the mean value of the action correction index and the mean value of the physiological correction index of the sports intangible cultural heritage item to be processed and the sports intangible cultural heritage items stored in the database, and use the proportion analysis result as the corresponding coefficient.

[0082] In this implementation scheme, by comprehensively analyzing the action performance duration of the sports intangible cultural heritage items to be processed, the force intensity of key parts, the angular velocity of key joints and other data and the reference data stored in the database, the action correction index and physiological correction index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database are effectively calculated, so as to provide a quantitative basis for subsequent precise matching and correction, thereby helping to improve the matching degree of action and physiological characteristics, and thus making the protection and inheritance of intangible cultural heritage items more accurate and in line with actual needs. Secondly, through mean analysis and standardization processing, various types of data are converted into a unified quantitative index, and the contribution of different factors to the correction value is calculated through proportion analysis, thereby eliminating the volatility between data, so as to make data analysis more scientific and standardized, thereby improving the consistency and reliability when processing different types of projects. Finally, by comprehensively analyzing the sports intangible cultural heritage items to be processed and various reference data stored in the database, the final matching correction index is obtained, thereby providing a quantitative evaluation of the matching degree between each action and its standard reference action, thereby helping to make effective corrections in the matching process of intangible cultural heritage items and improve matching accuracy.

[0083] Specifically, the specific steps for obtaining the inheritance and promotion index of the sports intangible cultural heritage project to be processed are as follows: normalizing the inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage project to be processed; and comprehensively analyzing the normalized inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage project to be processed to obtain the inheritance and promotion index of the sports intangible cultural heritage project to be processed; wherein, the formula for calculating the inheritance and promotion index of the sports intangible cultural heritage project to be processed is as follows:

[0084] ;in, The inheritance and promotion index of the sports intangible cultural heritage items to be processed. is the normalized inheritance duration value of the sports intangible cultural heritage item to be processed, is the duration coefficient stored in the database, is the normalized social media coverage value of the sports intangible cultural heritage items to be processed, is the coverage factor stored in the database, is the normalized participation value of the inheritance activities of the sports intangible cultural heritage items to be processed, is the participation coefficient stored in the database, is the normalized participation retention value of the inheritance activities of the sports intangible cultural heritage items to be processed, is the retention coefficient stored in the database, is the normalized inheritance activity cycle value of the sports intangible cultural heritage item to be processed, is the periodic coefficient stored in the database, is the inheritance activity development value of the sports intangible cultural heritage item to be processed after normalization, is the development coefficient stored in the database, , is a natural constant and in this embodiment takes a value of 2.71.

[0085] It needs to be explained that , , , , , The specific acquisition process is: read the normalized inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage project to be processed, and continue to sum and analyze to obtain the inheritance promotion and value, and perform proportion analysis on the inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage project to be processed, and use the proportion analysis results as the corresponding coefficients.

[0086] The specific implementation example of calculating the inheritance and promotion index of the sports intangible cultural heritage items to be processed is as follows. The following data are available:

[0087] The inheritance duration value of the sports intangible cultural heritage items to be processed is (unit: year): 456.00.

[0088] The social media coverage value of the sports intangible cultural heritage items to be processed is (unit: 100,000 times): 496.89.

[0089] The participation value of inheritance activities for sports intangible cultural heritage items to be processed is (unit: ten thousand): 196.60.

[0090] The retention value of participation in inheritance activities of sports intangible cultural heritage items to be processed is (unit: ten thousand): 865.4.

[0091] The inheritance activity cycle value of the sports intangible cultural heritage items to be processed is (unit: day): 120.00.

[0092] The development value of inheritance activities of the sports intangible cultural heritage items to be processed is (unit: times): 3.00.

[0093] Normalize the above data and get:

[0094] The normalized inheritance duration value of the sports intangible cultural heritage items to be processed is: 0.48.

[0095] The normalized social media coverage value of the sports intangible cultural heritage items to be processed is: 0.78.

[0096] The normalized participation value of the inheritance activities of the sports intangible cultural heritage items to be processed is: 0.68.

[0097] The normalized retention value of participation in inheritance activities of the pending sports intangible cultural heritage items is: 0.52.

[0098] The inheritance activity cycle value of the sports intangible cultural heritage items to be processed after normalization is: 0.58.

[0099] The inheritance activity development value of the sports intangible cultural heritage items to be processed after normalization is: 0.63.

[0100] The duration coefficient stored in the database is approximately: 0.13.

[0101] The coverage factor stored in the database is approximately: 0.21.

[0102] The participation coefficient stored in the database is approximately: 0.19.

[0103] The retention coefficient stored in the database is approximately: 0.14.

[0104] The period coefficient stored in the database is approximately: 0.16.

[0105] The development coefficient stored in the database is approximately: 0.17.

[0106] Substituting the above data into the formula of the inheritance and promotion index of the sports intangible cultural heritage items to be processed, we get:

[0107] The inheritance and promotion index of sports intangible cultural heritage items to be processed = 2.71 （0.13 *0.48+0.21*（√0.78）+0.19*（√0.68）+0.14*0.52+0.16*1 / （0.58+1）+0.17*0.63） ≈1.99.

[0108] In this implementation plan, by normalizing multiple key factors (such as inheritance duration, social media coverage, event participation, etc.) and combining them for analysis, it is possible to comprehensively evaluate the inheritance and promotion status of sports intangible cultural heritage projects and ensure that each influencing factor is appropriately weighted, thereby avoiding the deviation caused by a single indicator. Secondly, normalization can convert data of different scales and dimensions into a unified standardized indicator, thereby eliminating errors caused by different dimensions, and making the comparison between different factors more fair and effective. At the same time, by calculating the inheritance and promotion index, the complex inheritance process can be quantified into a specific value, thereby providing a clear basis for the effect evaluation and optimization decision-making of sports intangible cultural heritage projects. Finally, through sum analysis and proportion analysis, the specific contribution of each factor to inheritance and promotion can be determined, and then different factors can be assigned different coefficients, thereby helping managers make more accurate and targeted decisions in the inheritance process.

[0109] Specifically, the specific steps for taking corresponding inheritance protection measures based on the comparison and analysis results are as follows: If the inheritance and promotion index of the sports intangible cultural heritage project to be processed is lower than or equal to the preset inheritance and promotion index threshold, the first inheritance protection measure is taken, that is, it is recommended to increase publicity and exposure (that is, strengthen social media publicity, increase the coverage of activities, and use more online platforms for promotion), increase the frequency of activities (that is, increase the frequency of activities, ensure that the project has continuous attention and participation, and maintain the activity of the project and the interest of participants by regularly holding online and offline activities), and enhance audience participation (that is, increase the participation of activities, through organizing challenge competitions, mass competitions, and live performances). etc. to encourage more people to participate in it); if the comprehensive inheritance index of the sports intangible cultural heritage project to be processed is different from the preset comprehensive inheritance index threshold, the second inheritance protection measure will be taken, that is, it is recommended to maintain the stability of the activities (that is, maintain the regularity of the activities to ensure that the projects can continue to attract the attention of the audience), enhance the innovation (that is, continue to enhance the innovation of the activities, avoid the monotony of the content of the activities, and continuously enrich the content of the activities and increase the diversity through the innovative forms of expression of the activities, such as the introduction of science and technology, artistic expression, etc.), and expand the communication channels (that is, open up new communication platforms, such as more offline activities, or combine with other cultural activities and festival activities through cross-border cooperation).

[0110] In this implementation plan, the inheritance and promotion index of the sports intangible cultural heritage project to be processed is compared with the set threshold value, so as to adopt the corresponding inheritance and protection strategy for the sports intangible cultural heritage project to be processed, so as to make the inheritance and protection measures more accurate. Secondly, through the setting of the threshold value, the protection measures can be flexibly adjusted, and the protection strategy can be adjusted in time according to the inheritance status of the project. For example, by increasing publicity exposure, increasing the frequency of activities, and enhancing audience participation, the public attention and participation in sports intangible cultural heritage projects can be effectively improved, thereby promoting their long-term sustainable development. Finally, by accurately identifying the inheritance status of the project, waste of resources is avoided. When the inheritance and promotion index is low, resources can be better concentrated to improve it by strengthening social media publicity, increasing the frequency of activities and other measures; and for projects that have achieved certain results, the focus is on ensuring the stability and innovation of the activities, ensuring that resources are invested more efficiently and achieve better results.

[0111] See also Figure 3 The embodiment of the present invention provides a technical solution: a digital business processing system based on intelligent sports intangible cultural heritage information mining, including a data acquisition module, a correction identification analysis module, an inheritance promotion analysis module, and a sports intangible cultural heritage inheritance protection module; the data acquisition module is used to acquire the interpretation action image data of the sports intangible cultural heritage items to be processed, and respectively perform matching analysis with each sports intangible cultural heritage item stored in the database to obtain the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database; the correction identification analysis module is used to acquire the interpretation state data of the sports intangible cultural heritage items to be processed for comprehensive analysis, obtain the matching correction index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and combine the interpretation state data of the sports intangible cultural heritage items to be processed with the matching correction index of each sports intangible cultural heritage item stored in the database A comprehensive analysis is performed on the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database to obtain the comprehensive matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and type identification processing is performed to obtain the type information of the sports intangible cultural heritage items to be processed; an inheritance and promotion analysis module is used to obtain the inheritance breadth data of the sports intangible cultural heritage items to be processed after determining the type information of the sports intangible cultural heritage items to be processed, and perform data analysis to obtain the inheritance and promotion index of the sports intangible cultural heritage items to be processed; a sports intangible cultural heritage inheritance and protection module is used to compare and analyze the inheritance and promotion index of the sports intangible cultural heritage items to be processed with a preset inheritance and promotion index threshold, and take corresponding inheritance protection measures based on the comparison and analysis results.

[0112] In summary, this application has at least the following effects:

[0113] By combining multi-dimensional information such as performance action image data, action status and physiological data for comprehensive analysis, it is possible to perform multi-level matching corrections on the sports intangible cultural heritage items to be processed and other items in the database. The combination of the initial matching index and the corrected matching index improves the matching accuracy of sports intangible cultural heritage items, thereby effectively avoiding incorrect matching.

[0114] By analyzing the inheritance and promotion index of the sports intangible cultural heritage items to be processed, we can evaluate the dissemination and influence of the project, and then effectively monitor the inheritance status of the sports intangible cultural heritage items, and take necessary protection measures in time, so as to help decision makers accurately evaluate and intervene in the survival status of the intangible cultural heritage projects, and then ensure the sustainable development and inheritance of the sports intangible cultural heritage projects.

[0115] By combining digital technology with artificial intelligence, we can promote the digitalization and intelligent management of sports intangible cultural heritage projects, thereby improving the efficiency and accuracy of data processing, and further promoting the modernization and intelligence of the protection and management methods of intangible cultural heritage projects, thereby improving the overall protection effect of intangible cultural heritage projects.

[0116] By introducing multi-dimensional data analysis and intelligent correction mechanisms, the protection measures for sports intangible cultural heritage projects can be fine-tuned according to specific circumstances. The comparative analysis of the inheritance and promotion index and the threshold can identify whether the sports intangible cultural heritage project to be processed is a project that needs key protection, and formulate personalized inheritance strategies. Through intelligent processing methods, targeted protection and inheritance of sports intangible cultural heritage projects can be carried out, thereby improving the inheritance effect of the project.

[0117] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0118] 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 business processing method based on intelligent sports intangible cultural heritage information mining, characterized in that: The following steps are involved: Obtaining the performance action image data of the sports intangible cultural heritage item to be processed, and performing matching analysis with each sports intangible cultural heritage item stored in the database, respectively, to obtain the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; Obtaining the performance status data of the sports intangible cultural heritage items to be processed for comprehensive analysis, obtaining the matching correction index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and combining the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database for comprehensive analysis, obtaining the comprehensive matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and performing category identification processing to obtain category information of the sports intangible cultural heritage items to be processed; After determining the type information of the sports intangible cultural heritage items to be processed, obtaining the inheritance breadth data of the sports intangible cultural heritage items to be processed, and performing data analysis to obtain the inheritance and promotion index of the sports intangible cultural heritage items to be processed; Compare and analyze the inheritance and promotion index of the sports intangible cultural heritage items to be processed with the preset inheritance and promotion index threshold, and take corresponding inheritance protection measures based on the comparison and analysis results; The action image data specifically includes the pixel value and two-dimensional coordinates of each pixel point of each action image; the interpretation state data includes interpretation action state data and interpretation physiological state data; the interpretation action state data includes the interpretation duration value of each action, the force intensity value of each key part and the angular velocity value of each key joint; the interpretation physiological state data includes the height value, the nerve conduction velocity value, the muscle extensibility value and the motion amplitude value of each key joint; the inheritance breadth data includes the inheritance duration value, the inheritance social media coverage value, the inheritance activity participation value, the inheritance activity participation retention value, the inheritance activity cycle value and the inheritance activity development value; The nerve conduction velocity value is the speed at which nerve signals travel from the brain or spinal cord to the muscles; The retention value of participation in inheritance activities is the number of people who participated in more than two activities of the sports intangible cultural heritage project; The development value of inheritance activities is the number of activities using virtual reality and augmented reality among the number of activities held for the sports intangible cultural heritage project.

2. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 1 is characterized in that: The formula for calculating the comprehensive matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database is as follows: ； in, is the comprehensive matching index between the sports intangible cultural heritage item to be processed and the g-th sports intangible cultural heritage item stored in the database, is the initial matching index between the sports intangible cultural heritage item to be processed and the g-th sports intangible cultural heritage item stored in the database, is the initial matching coefficient stored in the database, is the matching correction index between the sports intangible cultural heritage item to be processed and the g-th sports intangible cultural heritage item stored in the database, is the correction factor stored in the database, , e is a natural constant.

3. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 1 is characterized in that: The specific steps of obtaining the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are as follows: Inputting the pixel value and two-dimensional coordinates of each pixel point of each action image of the sports intangible cultural heritage item to be processed into a pre-trained classification model for recognition analysis, and obtaining several key areas of each action image of the sports intangible cultural heritage item to be processed; And perform mean analysis on the two-dimensional coordinates of each pixel point in each key area of ​​each action image of the sports intangible cultural heritage item to be processed, so as to obtain the two-dimensional coordinates of each key area of ​​each action image of the sports intangible cultural heritage item to be processed; Comprehensively analyzing the two-dimensional coordinates of each key area of ​​each action image of the sports intangible cultural heritage item to be processed, and obtaining the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed; And obtain the reference interpretation action image data of each sports intangible cultural heritage item stored in the database, that is, the reference pixel value and reference two-dimensional coordinate of each reference pixel point of each reference action image, and perform comprehensive analysis to obtain the reference curvature values ​​of several groups of adjacent reference key areas of each reference action image of each sports intangible cultural heritage item stored in the database; The curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed are comprehensively analyzed with the reference curvature values ​​of several groups of adjacent reference key areas of each reference action image of each sports intangible cultural heritage item stored in the database to obtain the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database.

4. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 3 is characterized in that: The classification model is specifically a convolutional neural network, which includes an input layer, a convolution layer, an activation function, a pooling layer, a flattening layer, a fully connected layer, and an output layer. The specific steps of obtaining several key areas of each action image of the sports intangible cultural heritage item to be processed are as follows: In the convolution layer of the convolutional neural network, feature extraction is performed on the pixel value of each pixel point of each action image of the sports intangible cultural heritage item to be processed, so as to obtain a preliminary feature atlas of each action image of the sports intangible cultural heritage item to be processed; Combining the activation function, a nonlinear transformation is performed on the feature map of each action image of the sports intangible cultural heritage item to be processed, so as to obtain a complex feature map set of each action image of the sports intangible cultural heritage item to be processed; In the pooling layer of the convolutional neural network, the complex feature graph of each action image of the sports intangible cultural heritage item to be processed is subjected to dimensionality reduction processing to obtain a dimensionality reduction feature graph set of each action image of the sports intangible cultural heritage item to be processed, and the flattening layer is combined to perform flattening processing to obtain a feature vector set of each action image of the sports intangible cultural heritage item to be processed; In the fully connected layer of the convolutional neural network, the feature vector set of each action image of the sports intangible cultural heritage item to be processed is combined and processed to obtain a classification feature set of each action image of the sports intangible cultural heritage item to be processed; In the output layer of the convolutional neural network, the classification feature set of each action image of the sports intangible cultural heritage item to be processed is classified and processed to obtain several key areas of each action image of the sports intangible cultural heritage item to be processed.

5. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 3 is characterized in that: The formula for calculating the curvature values ​​of several groups of adjacent key areas of each action image of the sports intangible cultural heritage item to be processed and the initial matching index with each sports intangible cultural heritage item stored in the database is as follows: ； ； in, is the curvature value of the jth group of adjacent key areas of the hth action image of the sports intangible cultural heritage item to be processed, is the two-dimensional coordinate of the i-th key area of ​​the h-th action image of the sports intangible cultural heritage item to be processed, is the hth action image of the sports intangible cultural heritage item to be processed The two-dimensional coordinates of the key areas, is the initial matching index between the sports intangible cultural heritage item to be processed and the g-th sports intangible cultural heritage item stored in the database, is the reference curvature value of the jth group of adjacent reference key areas of the hth action image of the gth sports intangible cultural heritage item stored in the database, 1, 2, 3, ..., , is the number of action images, 1, 2, 3, ..., , is the number of adjacent key area groups, 1, 2, 3, ..., , is the number of key regions, 1, 2, 3, ..., , The number of sports intangible cultural heritage items stored in the database.

6. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 1 is characterized in that: The specific steps of obtaining the matching correction index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database are as follows: Obtaining a reference performance duration value of each action of each sports intangible cultural heritage item stored in the database, a reference force intensity value of each key part, and a reference angular velocity value of each key joint, and performing a comprehensive analysis based on the performance duration value of each action of the sports intangible cultural heritage item to be processed, the force intensity value of each key part, and the angular velocity value of each key joint, to obtain the action correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; Obtain the reference height value, reference nerve conduction velocity value, reference muscle extensibility value and reference range of motion value of each key joint of each sports intangible cultural heritage item stored in the database, and combine the height value, nerve conduction velocity value, muscle extensibility value and range of motion value of each key joint of the sports intangible cultural heritage item to be processed and perform comprehensive analysis to obtain the physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; A comprehensive analysis is performed on the action correction index and physiological correction index of the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database to obtain a matching correction index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database.

7. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 1 is characterized in that: The specific steps to obtain the inheritance and promotion index of the sports intangible cultural heritage items to be processed are as follows: Normalize the inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage items to be processed; A comprehensive analysis is then conducted on the normalized inheritance duration value, inheritance social media coverage value, inheritance activity participation value, inheritance activity participation retention value, inheritance activity cycle value, and inheritance activity development value of the sports intangible cultural heritage items to be processed, to obtain the inheritance promotion index of the sports intangible cultural heritage items to be processed; The formula for calculating the inheritance and promotion index of the sports intangible cultural heritage items to be processed is as follows: ； in, The inheritance and promotion index of the sports intangible cultural heritage items to be processed. is the normalized inheritance duration value of the sports intangible cultural heritage item to be processed, is the duration coefficient stored in the database, is the normalized social media coverage value of the sports intangible cultural heritage items to be processed, is the coverage factor stored in the database, is the normalized participation value of the inheritance activities of the sports intangible cultural heritage items to be processed, is the participation coefficient stored in the database, is the normalized participation retention value of the inheritance activities of the sports intangible cultural heritage items to be processed, is the retention coefficient stored in the database, is the normalized inheritance activity cycle value of the sports intangible cultural heritage item to be processed, is the periodic coefficient stored in the database, is the inheritance activity development value of the sports intangible cultural heritage item to be processed after normalization, is the development coefficient stored in the database, , e is a natural constant.

8. The digital business processing method based on intelligent sports intangible cultural heritage information mining according to claim 1 is characterized in that: The specific steps for taking corresponding heritage protection measures based on the comparison and analysis results are as follows: If the inheritance and promotion index of the sports intangible cultural heritage item to be processed is lower than or equal to the preset inheritance and promotion index threshold, the first inheritance protection measure shall be taken; If the comprehensive inheritance index of the sports intangible cultural heritage item to be processed is higher than the preset comprehensive inheritance index threshold, the second inheritance protection measure will be taken.

9. A digital business processing system based on intelligent sports intangible cultural heritage information mining, applying the digital business processing method based on intelligent sports intangible cultural heritage information mining according to any one of claims 1 to 8, characterized in that: include: Data acquisition module, correction identification and analysis module, inheritance and promotion analysis module, sports intangible cultural heritage inheritance and protection module; The data acquisition module is used to acquire the performance action image data of the sports intangible cultural heritage item to be processed, and respectively perform matching analysis with each sports intangible cultural heritage item stored in the database to obtain the initial matching index between the sports intangible cultural heritage item to be processed and each sports intangible cultural heritage item stored in the database; The correction identification and analysis module is used to obtain the performance status data of the sports intangible cultural heritage items to be processed for comprehensive analysis, obtain the matching correction index between the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and perform comprehensive analysis in combination with the initial matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database to obtain the comprehensive matching index of the sports intangible cultural heritage items to be processed and each sports intangible cultural heritage item stored in the database, and perform category identification processing to obtain category information of the sports intangible cultural heritage items to be processed; The inheritance and promotion analysis module is used to obtain the inheritance breadth data of the sports intangible cultural heritage items to be processed after determining the type information of the sports intangible cultural heritage items to be processed, and perform data analysis to obtain the inheritance and promotion index of the sports intangible cultural heritage items to be processed; The sports intangible cultural heritage inheritance and protection module is used to compare and analyze the inheritance and promotion index of the sports intangible cultural heritage project to be processed with a preset inheritance and promotion index threshold, and take corresponding inheritance and protection measures based on the comparison and analysis results.

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