Traditional village non-material space gene target searching method

Abstract

The invention discloses a traditional village intangible space gene target searching method, and belongs to the technical field of cultural heritage protection, and the method comprises the following steps: S1, information collection: collecting intangible cultural heritage information of a target traditional village through at least one of on-site investigation, file data collection and video collection; s2, an information extraction step: extracting target information of intangible cultural heritage from the data obtained from the information collection; s3, a problem identification step: based on the extracted target information, analyzing and identifying specific problem points of the intangible cultural heritage in the propagation and inheritance process; and S4, a result output step: arranging the identified problem points into a report form. According to the invention, through an improved data collection and verification mechanism, the collection accuracy of the non-perpetual information is improved, and the problem point in the inheritance process is systematically identified.

Description

Technical Field

[0001] This invention relates to the field of cultural heritage protection technology, specifically a method for exploring gene targets in the intangible space of traditional villages. Background Technology

[0002] Traditional villages, as important carriers of cultural heritage, contain a wealth of intangible cultural heritage (ICH), such as folk music, opera, dance, costumes, and craftsmanship. These ICH items face numerous challenges in their transmission, including interrupted transmission, loss of skills, and cultural distortion. Existing ICH protection methods often focus on simple data collection and record-keeping, lacking a systematic problem identification mechanism.

[0003] Traditional data collection methods often rely on single investigation teams, resulting in strong data subjectivity and insufficient accuracy. Furthermore, existing technologies lack multi-dimensional analytical capabilities for diagnosing intangible cultural heritage (ICH) transmission issues, making it difficult to provide precise and effective support for conservation decisions. Therefore, there is an urgent need for an ICH exploration method that can improve the accuracy of data collection and systematically identify transmission problems.

[0004] To address this, those skilled in the art have provided methods for identifying non-material spatial gene targets in traditional villages, thereby resolving the problems raised in the background section. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method for identifying non-material spatial gene targets in traditional villages, comprising the following steps:

[0006] S1: Information collection steps, collecting intangible cultural heritage information of the target traditional village through at least one of the following methods: on-site survey, document collection, and video collection. The intangible cultural heritage information includes relevant data on folk music, opera, dance, costumes, and intangible cultural heritage production techniques. The on-site survey includes interviewing village residents and observing actual cultural practices. The document collection includes obtaining historical documents, archival records, and digital texts. The video collection includes recording dynamic images of cultural performances and skill demonstrations.

[0007] S2: Information extraction step, extracting target information of intangible cultural heritage from the data obtained by the information collection. The target information includes the core characteristics, historical background, inheritance mode, dissemination channels and current status of cultural elements. The core characteristics involve art form, technique process or symbolic meaning. The inheritance mode includes family inheritance, master-apprentice inheritance or community collective inheritance. The dissemination channels include oral dissemination, written dissemination or modern media dissemination.

[0008] S3: Problem identification step. Based on the extracted target information, analyze and identify specific problems in the dissemination and inheritance of intangible cultural heritage. These problems include at least one of the following: risk of interruption of inheritance, limited scope of dissemination, loss of skills, and cultural deformation. The risk of interruption of inheritance is determined by assessing the age structure of inheritors, frequency of transmission, and external environmental influences. The limited scope of dissemination is determined by analyzing the coverage of dissemination channels and audience feedback. The loss of skills is identified by comparing the consistency between historical records and current practices. The cultural deformation is detected by comparing the differences between original cultural elements and current forms of expression.

[0009] S4: Results output step, organize the identified problems into a report for subsequent cultural protection decision support. The report includes a problem description, risk level and recommended measures.

[0010] As a further aspect of the present invention: in step S1, information collection adopts a group-based cross-group information collection method, specifically including:

[0011] S101: For the same batch of data sources, at least two independent investigation teams shall be assigned to collect data. Each investigation team shall obtain information on intangible cultural heritage through at least one of the following methods: field research, document collection, or video collection. Field research shall employ structured interviews and participatory observation, document collection shall involve literature retrieval and digitization, and video collection shall use high-definition video equipment to record dynamic images.

[0012] S102: Difference calculation, based on the data collected by the two investigation teams, calculates the difference between the two through content comparison and consistency analysis. The difference is quantified by evaluating the consistency of data items, including text description matching degree, image similarity or audio feature deviation, and a preset difference threshold is used as a trigger condition.

[0013] S103: Third-party verification triggered. When the difference exceeds a preset threshold, the third-party verification process is automatically triggered. Investigators are selected to form a third-party investigation team to conduct a second investigation on the same batch of data sources to ensure data accuracy.

[0014] As a further aspect of the present invention, the third-party verification process specifically includes:

[0015] S104: Background investigation sub-step: When forming a third-party investigation team, conduct a background investigation on the candidate investigators to ensure that the members of the third-party investigation team have no connection with the members of the first two investigation teams. The connection includes friendship, kinship, and classmate relationship. At the same time, ensure that the members of the third-party investigation team have no connection with each other.

[0016] S105: Investigation execution sub-step: The third-party investigation team re-collects intangible cultural heritage information from the same data source through at least one of the following methods: on-site investigation, document collection, or video recording, and records the detailed investigation process.

[0017] S106: Authenticity verification sub-step, which treats the survey results of the third-party survey team as authentic information, and uses them to verify the authenticity of the data collected by each member of the first two survey teams. By comparing the data content item by item, inconsistencies are identified and the reasons for the deviations are recorded.

[0018] S107: Feedback update sub-step, based on the authenticity verification results, updates the original data in the information collection step and uses it for subsequent information extraction.

[0019] As a further aspect of the present invention: the method further includes a scoring system step, specifically:

[0020] The task scoring sub-step, based on the survey results of a third-party survey team, scores the tasks of each member of the first two survey teams. The scoring is based on the consistency between the data they collected and the real information, including indicators of accuracy, completeness, and timeliness, and generates individual score records.

[0021] The scoring storage sub-step stores the task scores in the database and calculates the total score for each investigator, which is based on a weighted average of historical task scores.

[0022] The member selection optimization sub-step prioritizes the selection of investigators with high overall scores when establishing a third-party investigation team or assigning investigation tasks, provided that the background investigation requirements are met, in order to improve the overall quality and efficiency of information collection.

[0023] The sub-steps are dynamically adjusted, and the members of the survey team are trained or adjusted according to the scoring results. The scoring thresholds and selection criteria are updated regularly.

[0024] As a further aspect of the present invention, the specific process of information extraction is as follows:

[0025] S201: Data preprocessing sub-step, which cleans and standardizes the collected intangible cultural heritage information, removes duplicate or irrelevant data, and converts data of different formats into a unified analyzable structured format, such as converting text data into a standard encoding format, decomposing video data into keyframe sequences, and converting audio data into spectral features.

[0026] S202: Feature extraction sub-step, which uses content analysis methods to extract keywords, themes and narrative structure from text data, extracts visual features including color, shape and motion patterns from image and video data through image recognition technology, and extracts pitch, rhythm and timbre features from audio data to quantify the core features of cultural elements;

[0027] S203: Pattern analysis sub-step, using statistical analysis tools to perform correlation analysis on the extracted target information, identify the patterns of inheritance patterns and transmission paths, such as tracking the changing trends of inheritance frequency through time series analysis, or mapping key nodes and paths in the transmission channels through network analysis;

[0028] S204: Information integration sub-step, which integrates the extracted features and patterns into a comprehensive dataset and generates a cultural element archive, which includes a summary description, feature vectors and a historical evolution timeline, providing structured input for the problem identification step.

[0029] As a further aspect of the present invention: the problem identification step further includes:

[0030] S301: Risk assessment sub-step, based on the target information provided in the information extraction step, constructs a multi-dimensional assessment model, which includes the inheritor dimension, environmental dimension, and social dimension. The inheritor dimension assesses the risk of interruption of inheritance by statistically analyzing the age, number, and skill level of inheritors. The environmental dimension determines the cultural survival pressure by analyzing changes in the natural environment and the impact of urbanization. The social dimension identifies the problem of limited dissemination scope by investigating community participation and policy support.

[0031] S302: Problem detection sub-step, which uses comparative analysis to compare the current state of intangible cultural heritage with historical benchmark data to identify the loss of skills or cultural distortion. For example, by comparing the consistency between the original steps of traditional skills and the current practice steps, or by analyzing the degree of variation of cultural elements in the process of dissemination through content comparison.

[0032] S303: Prioritization sub-step: Based on the severity and urgency of the problem points, a weighted scoring system is used to rank the identified problem points and generate a problem list. The list includes a risk score and recommended intervention level for each problem point, which facilitates the formation of a targeted report in the results output step.

[0033] As a further aspect of the present invention, the method also includes a data verification step: after the information collection step, the collected intangible cultural heritage information is cross-verified, and the accuracy and reliability of the information are ensured through multi-source data comparison. Specifically, this includes checking the consistency between on-site survey data and document data, or using expert review to professionally certify the video collection content; simultaneously, a sampling survey method is used to conduct on-site verification of some data to correct possible deviations or errors; after the information extraction step, the extracted target information is logically verified, and the rationality of feature extraction is confirmed through retrospective analysis, such as checking whether the core features of cultural elements match historical records; after the problem identification step, the identified problem points are fed back and verified, and confirmation and supplementary opinions from relevant parties are collected by organizing community seminars or expert consultation meetings to ensure the objectivity and comprehensiveness of problem identification; all verification processes are recorded and used as the basis for the credibility of the report in the result output step.

[0034] As a further aspect of the present invention: the method is applied in a customized manner for specific types of intangible cultural heritage, specifically as follows:

[0035] When the intangible cultural heritage is ethnic music, the information collection step focuses on collecting audio records and musical scores, the information extraction step focuses on extracting the melody structure, performance techniques and lyrics, and the problem identification step specifically identifies problems such as melody distortion, shortage of inheritors or reduced performance opportunities.

[0036] When the intangible cultural heritage is opera, the information collection step focuses on recording performance videos and collecting script texts, the information extraction step extracts character types, performance styles and singing characteristics, and the problem identification step focuses on problems such as simplified styles, audience loss or lack of innovation.

[0037] When the intangible cultural heritage is dance, the information collection step records the dance sequence through dynamic capture equipment, the information extraction step extracts the rhythm of the movements, the use of costumes and props, and the ritual background, and the problem identification step targets problems such as movement deformation, discontinuity of inheritance, or fading of cultural significance.

[0038] When the intangible cultural heritage is clothing, the information collection step collects physical samples and production process records, the information extraction step extracts pattern symbols, materials and techniques and wearing customs, and the problem identification step focuses on problems such as the loss of techniques, style changes or loss of function.

[0039] When the intangible cultural heritage is a craft, the information collection step records the demonstration process and tool usage, the information extraction step extracts the process flow, key skills and lineage, and the problem identification step focuses on the problems of skill loss, material substitution or declining market demand.

[0040] As a further aspect of the present invention, the method also includes a database integration step, specifically: constructing an intangible cultural heritage database for storing and managing raw data collected in the information collection step, target information generated in the information extraction step, and problem point records obtained in the problem identification step; the database adopts a relational or non-relational data structure and includes data tables for classifying and storing text, image, audio, and video files, while establishing indexes to support fast querying and retrieval; in the information collection step, the collected data is uploaded to the database in real time, and deduplication and encryption are performed to ensure data security; in the information extraction step, relevant data is retrieved from the database for analysis, and the extracted target information is updated to the corresponding fields in the database; in the problem identification step, comparative analysis is performed based on historical data in the database, and the identified problem points are stored as independent data entries; in addition, the database integration step supports multi-user access and permission management, allowing authorized users to export, share, and collaboratively analyze data, and ensuring long-term data preservation and availability through regular backups and maintenance.

[0041] As a further aspect of the present invention, the method also includes an application extension step: applying the results of the exploration method to cultural preservation practices, including developing targeted preservation plans based on identified problem areas, such as organizing heritage training, restoring cultural sites, or promoting digital dissemination; simultaneously, integrating the method output with external systems, such as connecting with cultural heritage management platforms or policy-making systems, to achieve data sharing and decision support; the application extension step also includes an evaluation feedback loop, which tracks the effectiveness of preservation measures, re-verifies whether problem areas have been alleviated, and optimizes subsequent exploration processes; furthermore, the method can be extended to comparative analysis of multiple traditional villages, identifying common risks and best practices by horizontally comparing the intangible cultural heritage problem areas of different villages, providing a reference for regional cultural preservation; the entire application extension step emphasizes sustainability and operability, ensuring that the exploration method is not only used for problem diagnosis but also directly promotes the living heritage and innovative development of intangible cultural heritage.

[0042] The beneficial effects of this invention are reflected in:

[0043] This invention effectively solves the technical problems of insufficient data collection accuracy, incomplete problem identification, and lack of targeted protection measures in existing technologies by establishing a systematic method for exploring intangible cultural heritage in traditional villages. By introducing a cross-validation mechanism, a multi-dimensional risk assessment model, and a full-process quality control system, it significantly improves the accuracy and efficiency of intangible cultural heritage protection. At the same time, with the help of customizable analysis schemes and closed-loop management mechanisms, it achieves full-process coverage from problem diagnosis to protection implementation, providing reliable technical support for the sustainable inheritance of cultural heritage in traditional villages. Attached Figure Description

[0044] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0045] Figure 1 A flowchart for methods to explore gene targets in the intangible space of traditional villages. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] As mentioned in the background section of this application, research has found that existing data collection methods often rely on a single investigation team, resulting in strong data subjectivity and insufficient accuracy. Furthermore, existing technologies lack multi-dimensional analytical capabilities for diagnosing intangible cultural heritage transmission issues, making it difficult to provide precise and effective support for conservation decisions, thus exhibiting certain shortcomings.

[0048] To address the aforementioned shortcomings, this application discloses a method for identifying intangible cultural heritage spatial gene targets in traditional villages. Through improved data collection and verification mechanisms, it enhances the accuracy of intangible cultural heritage information collection and systematically identifies problems in the transmission process.

[0049] The following will describe in detail, with reference to the accompanying drawings, how the solution of this application solves the above-mentioned technical problems.

[0050] Please see Figure 1In this embodiment of the invention, the method for exploring intangible cultural heritage targets in traditional villages includes the following steps: S1: Information collection step, collecting intangible cultural heritage information of the target traditional village through at least one of the following methods: on-site survey, document collection, and video collection. The intangible cultural heritage information includes relevant data on folk music, opera, dance, costumes, and intangible cultural heritage production techniques. On-site survey includes interviewing village residents and observing actual cultural practices. Document collection includes obtaining historical documents, archival records, and digital texts. Video collection includes recording dynamic images of cultural performances and skill demonstrations. S2: Information extraction step, extracting target information of intangible cultural heritage from the data obtained through information collection. The target information includes the core characteristics, historical background, inheritance mode, dissemination channels, and current status of cultural elements. The core characteristics involve artistic forms, technical processes, or symbolic meanings. The transmission model includes family transmission, master-apprentice transmission, or community collective transmission, and the transmission channels include oral transmission, written transmission, or modern media transmission. Step S3: Problem identification step, based on the extracted target information, analyzes and identifies specific problems in the transmission and dissemination of intangible cultural heritage. Problems include at least one of the following: risk of transmission interruption, limited dissemination scope, loss of skills, and cultural deformation. Risk of transmission interruption is determined by assessing the age structure of the inheritors, transmission frequency, and external environmental influences; limited dissemination scope is determined by analyzing the coverage of dissemination channels and audience feedback; loss of skills is identified by comparing the consistency between historical records and current practices; and cultural deformation is detected by comparing the differences between original cultural elements and current forms of expression. Step S4: Result output step, compiling the identified problems into a report for subsequent cultural protection decision support. The report includes a problem description, risk level, and recommended measures. This application establishes a complete methodology for exploring intangible cultural heritage in traditional villages. Through four core steps—systematic information collection, feature extraction, problem identification, and result output—it achieves full-process coverage of intangible cultural heritage from data collection to problem diagnosis, providing a scientific methodological foundation for cultural heritage protection.

[0051] In this embodiment, in step S1, information collection adopts a cross-group information collection method, specifically including: S101: For the same batch of data sources, at least two independent investigation groups are assigned to collect data. Each investigation group obtains intangible cultural heritage information through at least one of the following methods: on-site investigation, document collection, or video collection. On-site investigation uses structured interviews and participatory observation, document collection involves literature retrieval and digitization, and video collection uses high-definition camera equipment to record dynamic images; S102: Difference calculation: Based on the data collected by the two investigation groups, the difference between the two is calculated through content comparison and consistency analysis. The difference is quantified by evaluating the consistency of data items, including text description matching degree, image similarity, or audio feature deviation, and a preset difference threshold is used as a trigger condition; S103: Third-party verification trigger: When the difference exceeds the preset threshold, the third-party verification process is automatically triggered. Investigators are selected to form a third-party investigation group to conduct a second investigation of the same batch of data sources to ensure data accuracy. This setup introduces a cross-group information collection mechanism, which effectively improves the reliability and accuracy of raw data collection through the parallel work and difference comparison of multiple independent investigation groups, providing high-quality data assurance for subsequent analysis.

[0052] In this embodiment, the third-party verification process specifically includes: S104: Background investigation sub-step, when forming the third-party investigation team, a background investigation is conducted on the candidate investigators to ensure that the members of the third-party investigation team have no affiliation with the members of the first two investigation teams. Affiliations include friendship, kinship, and classmate relationships. It is also ensured that the members of the third-party investigation team have no affiliation with each other; S105: Investigation execution sub-step, the third-party investigation team re-collects intangible cultural heritage information from the same data source through at least one of on-site research, document collection, or video recording, and records the detailed investigation process; S106: Authenticity verification sub-step, the investigation results of the third-party investigation team are considered authentic information and used to verify the authenticity of the data collected by each member of the first two investigation teams. Inconsistencies are identified and the reasons for deviations are recorded by comparing the data content item by item; S107: Feedback update sub-step, based on the authenticity verification results, the original data in the information collection step is updated and used for subsequent information extraction. This setup establishes a strict third-party verification process, isolating conflicts of interest through background investigation to ensure the objectivity and fairness of the verification results, while continuously optimizing data quality through authenticity verification and feedback update mechanisms.

[0053] In this embodiment, the method further includes a scoring system step, specifically: a task scoring sub-step, which scores each member of the first two investigation teams based on the investigation results of the third-party investigation team. The scoring is based on the consistency between the collected data and the actual information, including accuracy, completeness, and timeliness indicators, and generates individual scoring records; a scoring storage sub-step, which stores the task scores in a database and calculates the total score for each investigator, based on a weighted average of historical task scores; a member selection optimization sub-step, which prioritizes investigators with high total scores when establishing third-party investigation teams or assigning investigation tasks, provided that the background investigation requirements are met, in order to improve the overall quality and efficiency of information collection; and a dynamic adjustment sub-step, which trains or adjusts investigation team members based on the scoring results and regularly updates the scoring thresholds and selection criteria. This setup constructs an investigator management system based on performance scoring, achieving professional development of the investigation team and continuous improvement of work efficiency through a quantitative scoring mechanism and dynamically optimized personnel selection strategy.

[0054] In this embodiment, the specific process of information extraction is as follows: S201: Data preprocessing sub-step, cleaning and standardizing the collected intangible cultural heritage information, removing duplicate or irrelevant data, and uniformly converting data of different formats into an analyzable structured format, such as converting text data into a standard encoding format, decomposing video data into keyframe sequences, and converting audio data into spectral features; S202: Feature extraction sub-step, using content analysis methods to extract keywords, themes, and narrative structures from text data, and extracting visual features including color, shape, and motion from image and video data using image recognition technology. The system employs a multimodal data processing approach, extracting pitch, rhythm, and timbre features from audio data to quantify the core characteristics of cultural elements. Step S203, the pattern analysis sub-step, utilizes statistical analysis tools to perform correlation analysis on the extracted target information, identifying patterns in transmission patterns and dissemination pathways. For example, time series analysis tracks trends in transmission frequency, or network analysis maps key nodes and paths within the dissemination channels. Step S204, the information integration sub-step, integrates the extracted features and patterns into a comprehensive dataset and generates a cultural element archive. This archive includes a summary description, feature vectors, and a historical evolution timeline, providing structured input for the problem identification step. This setup offers multimodal data processing capabilities, enabling structured representation and in-depth analysis of intangible cultural heritage information through standardized processing and feature extraction of text, image, video, and audio data.

[0055] In this embodiment, the problem identification step further includes: S301: Risk assessment sub-step, based on the target information provided in the information extraction step, constructing a multi-dimensional assessment model. The assessment model includes the inheritor dimension, environmental dimension, and social dimension. The inheritor dimension assesses the risk of interruption of inheritance by statistically analyzing the age, number, and skill level of inheritors. The environmental dimension determines cultural survival pressure by analyzing changes in the natural environment and the impact of urbanization. The social dimension identifies problems of limited dissemination scope by investigating community participation and policy support. More specifically, in the inheritor dimension, by statistically analyzing the average age, age distribution structure, total number of existing inheritors, and annual increase / decrease rate, combined with skill level tests or expert ratings, when there is an aging population (e.g., average age exceeding 60 years), a continuous decrease in the number of inheritors, or a decline in skill ratings, it is determined to be a high risk of inheritance interruption. In the environmental dimension, by analyzing indicators such as climate data, geological disaster records, land use changes, and the speed of urbanization expansion, the impact on the integrity of cultural practice space is assessed. When environmental degradation or urbanization leads to the loss of traditional activity spaces exceeding a threshold, it is considered a significant cultural survival pressure. In the social dimension, community participation (e.g., average annual activity participation rate) and policy support (e.g., funding and regulatory adequacy) are quantified through community questionnaires, activity participation records, and policy document analysis. When participation remains consistently low or policy support is insufficient, it is identified as a problem of limited dissemination. S302: Problem detection sub-step uses comparative analysis to compare the current state of intangible cultural heritage with historical benchmark data to identify lost skills or cultural distortions. This can be achieved by comparing the consistency between the original steps of traditional skills and current practices, or by analyzing the degree of variation in cultural elements during dissemination. S303: Prioritization sub-step uses a weighted scoring system to rank identified problems based on their severity and urgency, generating a problem list. This list includes a risk score and recommended intervention level for each problem, facilitating targeted reporting in the results output step. This setup establishes a multi-dimensional risk assessment system. Through comprehensive analysis of the three dimensions of inheritors, environment, and society, combined with historical data comparison and priority ranking, it achieves systematic and precise problem identification.

[0056] In this embodiment, the method further includes a data verification step: after the information collection step, the collected intangible cultural heritage information is cross-verified, ensuring the accuracy and reliability of the information through multi-source data comparison. Specifically, this includes checking the consistency between on-site survey data and documented data, or using expert review to professionally certify the video content. Simultaneously, a sampling survey method is used to conduct on-site verification of some data to correct possible deviations or errors. After the information extraction step, the extracted target information is logically verified, confirming the rationality of feature extraction through retrospective analysis, such as checking whether the core features of cultural elements match historical records. After the problem identification step, the identified problem points are verified through feedback. Community seminars or expert consultations are organized to collect confirmation and supplementary opinions from relevant parties, ensuring the objectivity and comprehensiveness of problem identification. All verification processes are recorded and used as the basis for the credibility of the report in the results output step. This setup constructs a full-process quality control mechanism, ensuring the accuracy and credibility of each stage from data collection to problem identification through three levels of verification methods: cross-verification, logical verification, and feedback verification.

[0057] In this embodiment, the method is customized for specific types of intangible cultural heritage. Specifically: when the intangible cultural heritage is folk music, the information collection step focuses on collecting audio recordings and musical scores, the information extraction step focuses on extracting the melody structure, performance techniques, and lyrics, and the problem identification step specifically identifies problems such as melody distortion, shortage of inheritors, or reduced performance opportunities; when the intangible cultural heritage is opera, the information collection step focuses on recording performance videos and collecting script texts, the information extraction step extracts character types, performance styles, and singing characteristics, and the problem identification step focuses on problems such as simplified styles, audience loss, or insufficient innovation; when the intangible cultural heritage is dance, the information collection step... The motion capture device records dance sequence, and the information extraction step extracts the rhythm of the movements, the use of costumes and props, and the ritual background. The problem identification step addresses issues such as movement distortion, interrupted transmission, or diminished cultural significance. When the intangible cultural heritage is clothing, the information collection step collects physical samples and records of production techniques, and the information extraction step extracts patterns, symbols, materials, techniques, and wearing customs. The problem identification step focuses on issues such as lost techniques, style variations, or loss of function. When the intangible cultural heritage is a craft, the information collection step records the demonstration process and tool use, and the information extraction step extracts the process flow, key skills, and lineage. The problem identification step focuses on issues such as skill loss, material substitution, or declining market demand. This setup enables the method to be customized, providing targeted data collection, feature extraction, and problem identification solutions for different types of intangible cultural heritage, enhancing the method's practicality and adaptability.

[0058] In this embodiment, the method further includes a database integration step, specifically: constructing an intangible cultural heritage database to store and manage raw data collected in the information collection step, target information generated in the information extraction step, and problem point records obtained in the problem identification step; the database adopts a relational or non-relational data structure and includes data tables for classifying and storing text, image, audio, and video files, while establishing indexes to support fast querying and retrieval; in the information collection step, the collected data is uploaded to the database in real time, and deduplication and encryption are performed to ensure data security; in the information extraction step, relevant data is retrieved from the database for analysis, and the extracted target information is updated to the corresponding fields in the database; in the problem identification step, comparative analysis is performed based on historical data in the database, and the identified problem points are stored as independent data entries; in addition, the database integration step supports multi-user access and permission management, allowing authorized users to export, share, and collaboratively analyze data, and ensuring long-term data preservation and availability through regular backups and maintenance. This setup establishes a unified data management platform, and through database integration, it achieves standardized data storage, efficient retrieval, and secure maintenance, providing data support for long-term cultural heritage protection work.

[0059] In this embodiment, the method further includes an application extension step: applying the results of the exploration method to cultural conservation practices, including developing targeted conservation plans based on identified problem areas, such as organizing heritage training, restoring cultural sites, or promoting digital dissemination; simultaneously, integrating the method's output with external systems, such as connecting with cultural heritage management platforms or policy-making systems, to achieve data sharing and decision support; the application extension step also includes an evaluation feedback loop, which tracks the effectiveness of conservation measures, re-verifies whether problem areas have been alleviated, and optimizes subsequent exploration processes; furthermore, the method can be extended to comparative analysis of multiple traditional villages, identifying common risks and best practices by horizontally comparing the intangible cultural heritage problem areas of different villages, providing a reference for regional cultural conservation; the entire application extension step emphasizes sustainability and operability, ensuring that the exploration method is not only used for problem diagnosis but also directly promotes the living transmission and innovative development of intangible cultural heritage. This setup establishes a complete chain from problem diagnosis to conservation practices, achieving closed-loop management and continuous optimization of cultural heritage conservation work through result application and feedback loop mechanisms.

[0060] This invention effectively solves the technical problems of insufficient data collection accuracy, incomplete problem identification, and lack of targeted protection measures in existing technologies by establishing a systematic method for exploring intangible cultural heritage in traditional villages. By introducing a cross-validation mechanism, a multi-dimensional risk assessment model, and a full-process quality control system, it significantly improves the accuracy and efficiency of intangible cultural heritage protection. At the same time, with the help of customizable analysis schemes and closed-loop management mechanisms, it achieves full-process coverage from problem diagnosis to protection implementation, providing reliable technical support for the sustainable inheritance of cultural heritage in traditional villages.

[0061] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for identifying non-material spatial gene targets in traditional villages, characterized by: Includes the following steps: S1: Information collection steps, collecting intangible cultural heritage information of the target traditional village through at least one of the following methods: on-site surveys, document collection, and video collection; S2: Information extraction step, extracting target information of intangible cultural heritage from the data obtained by the information collection, the target information including the core characteristics, historical background, inheritance mode, dissemination channels and current status of cultural elements; S3: Problem identification step. Based on the extracted target information, analyze and identify specific problems in the dissemination and inheritance of intangible cultural heritage. These problems include at least one of the following: risk of interruption of inheritance, limited scope of dissemination, loss of skills, and cultural deformation. The risk of interruption of inheritance is determined by assessing the age structure of inheritors, frequency of transmission, and external environmental influences. The limited scope of dissemination is determined by analyzing the coverage of dissemination channels and audience feedback. The loss of skills is identified by comparing the consistency between historical records and current practices. The cultural deformation is detected by comparing the differences between original cultural elements and current forms of expression. S4: Results output step, organize the identified problems into a report for subsequent cultural protection decision support. The report includes a problem description, risk level and recommended measures.

2. The method for identifying non-material spatial gene targets in traditional villages according to claim 1, characterized in that, In step S1, information collection employs a cross-group information collection method, specifically including: S101: For the same batch of data sources, at least two independent investigation teams shall be assigned to collect data. Each investigation team shall obtain information on intangible cultural heritage through at least one of the following methods: field research, document collection, or video collection. Field research shall employ structured interviews and participatory observation, document collection shall involve literature retrieval and digitization, and video collection shall use high-definition video equipment to record dynamic images. S102: Difference calculation, based on the data collected by the two investigation teams, calculates the difference between the two through content comparison and consistency analysis. The difference is quantified by evaluating the consistency of data items, including text description matching degree, image similarity or audio feature deviation, and a preset difference threshold is used as a trigger condition. S103: Third-party verification triggered. When the difference exceeds a preset threshold, the third-party verification process is automatically triggered. Investigators are selected to form a third-party investigation team to conduct a second investigation on the same batch of data sources to ensure data accuracy.

3. The method for exploring non-material spatial gene targets in traditional villages according to claim 2, characterized in that, The third-party verification process specifically includes: S104: Background investigation sub-step: When forming a third-party investigation team, conduct a background investigation on the candidate investigators to ensure that the members of the third-party investigation team have no connection with the members of the first two investigation teams. The connection includes friendship, kinship, and classmate relationship. At the same time, ensure that the members of the third-party investigation team have no connection with each other. S105: Investigation execution sub-step: The third-party investigation team re-collects intangible cultural heritage information from the same data source through at least one of the following methods: on-site investigation, document collection, or video recording, and records the detailed investigation process. S106: Authenticity verification sub-step, which treats the survey results of the third-party survey team as authentic information, and uses them to verify the authenticity of the data collected by each member of the first two survey teams. By comparing the data content item by item, inconsistencies are identified and the reasons for the deviations are recorded. S107: Feedback update sub-step, based on the authenticity verification results, updates the original data in the information collection step and uses it for subsequent information extraction.

4. The method for exploring non-material spatial gene targets in traditional villages according to claim 3, characterized in that, The method also includes a scoring system step, specifically: The task scoring sub-step, based on the survey results of a third-party survey team, scores the tasks of each member of the first two survey teams. The scoring is based on the consistency between the data they collected and the real information, including indicators of accuracy, completeness, and timeliness, and generates individual score records. The scoring storage sub-step stores the task scores in the database and calculates the total score for each investigator, which is based on a weighted average of historical task scores. The member selection optimization sub-step prioritizes the selection of investigators with high overall scores when establishing a third-party investigation team or assigning investigation tasks, provided that the background investigation requirements are met, in order to improve the overall quality and efficiency of information collection. The sub-steps are dynamically adjusted, and the members of the survey team are trained or adjusted according to the scoring results. The scoring thresholds and selection criteria are updated regularly.

5. The method for exploring non-material spatial gene targets in traditional villages according to claim 4, characterized in that, The specific process of information extraction is as follows: S201: Data preprocessing sub-step, which cleans and standardizes the collected intangible cultural heritage information, removes duplicate or irrelevant data, and converts data of different formats into a unified analyzable structured format; S202: Feature extraction sub-step, which uses content analysis methods to extract keywords, themes and narrative structure from text data, extracts visual features including color, shape and motion patterns from image and video data through image recognition technology, and extracts pitch, rhythm and timbre features from audio data to quantify the core features of cultural elements; S203: Pattern analysis sub-step, using statistical analysis tools to perform correlation analysis on the extracted target information to identify the patterns of inheritance and transmission routes; S204: Information integration sub-step, which integrates the extracted features and patterns into a comprehensive dataset and generates a cultural element archive, which includes a summary description, feature vectors and a historical evolution timeline, providing structured input for the problem identification step.

6. The method for exploring non-material spatial gene targets in traditional villages according to claim 5, characterized in that, The problem identification step further includes: S301: Risk assessment sub-step, based on the target information provided in the information extraction step, constructs a multi-dimensional assessment model, which includes the inheritor dimension, environmental dimension, and social dimension. The inheritor dimension assesses the risk of interruption of inheritance by statistically analyzing the age, number, and skill level of inheritors. The environmental dimension determines the cultural survival pressure by analyzing changes in the natural environment and the impact of urbanization. The social dimension identifies the problem of limited dissemination scope by investigating community participation and policy support. S302: Problem detection sub-step, which uses comparative analysis to compare the current state of intangible cultural heritage with historical benchmark data in order to identify the loss of skills or cultural distortion. S303: Prioritization sub-step: Based on the severity and urgency of the problem points, a weighted scoring system is used to rank the identified problem points and generate a problem list, which includes the risk score and recommended intervention level for each problem point.

7. The method for exploring non-material spatial gene targets in traditional villages according to claim 6, characterized in that, The method also includes a data verification step: after the information collection step, the collected intangible cultural heritage information is cross-verified, and the accuracy and reliability of the information are ensured by comparing data from multiple sources. Specifically, this includes checking the consistency between on-site survey data and document data, or using expert review to professionally certify the video collection content; at the same time, a sampling survey method is used to conduct on-site verification of some data to correct possible deviations or errors; after the information extraction step, the extracted target information is logically verified, and the rationality of feature extraction is confirmed through retrospective analysis. Following the problem identification step, feedback verification is conducted on the identified problem points. By organizing community workshops or expert consultation meetings, relevant parties are collected to confirm and supplement their opinions on the problem points, ensuring the objectivity and comprehensiveness of the problem identification. All verification processes are recorded and used as the basis for the credibility of the reports in the results output step.

8. The method for exploring non-material spatial gene targets in traditional villages according to claim 7, characterized in that, The method is specifically designed for customized applications of certain types of intangible cultural heritage, as follows: When the intangible cultural heritage is ethnic music, the information collection step focuses on collecting audio records and musical scores, the information extraction step focuses on extracting the melody structure, performance techniques and lyrics, and the problem identification step specifically identifies problems such as melody distortion, shortage of inheritors or reduced performance opportunities. When the intangible cultural heritage is opera, the information collection step focuses on recording performance videos and collecting script texts, the information extraction step extracts character types, performance styles and singing characteristics, and the problem identification step focuses on problems such as simplified styles, audience loss or lack of innovation. When the intangible cultural heritage is dance, the information collection step records the dance sequence through dynamic capture equipment, the information extraction step extracts the rhythm of the movements, the use of costumes and props, and the ritual background, and the problem identification step targets problems such as movement deformation, discontinuity of inheritance, or fading of cultural significance. When the intangible cultural heritage is clothing, the information collection step collects physical samples and production process records, the information extraction step extracts pattern symbols, materials and techniques and wearing customs, and the problem identification step focuses on problems such as the loss of techniques, style changes or loss of function. When the intangible cultural heritage is a craft, the information collection step records the demonstration process and tool usage, the information extraction step extracts the process flow, key skills and lineage, and the problem identification step focuses on the problems of skill loss, material substitution or declining market demand.

9. The method for identifying non-material spatial gene targets in traditional villages according to claim 8, characterized in that, The method also includes a database integration step, specifically: constructing an intangible cultural heritage database to store and manage raw data collected in the information collection step, target information generated in the information extraction step, and problem point records obtained in the problem identification step; the database adopts a relational or non-relational data structure and includes data tables for classifying and storing text, image, audio, and video files, while establishing indexes to support fast querying and retrieval; in the information collection step, the collected data is uploaded to the database in real time, and deduplication and encryption are performed to ensure data security; in the information extraction step, relevant data is retrieved from the database for analysis, and the extracted target information is updated to the corresponding fields in the database; in the problem identification step, comparative analysis is performed based on historical data in the database, and the identified problem points are stored as independent data entries; in addition, the database integration step supports multi-user access and permission management, allowing authorized users to export, share, and collaboratively analyze data, and ensuring long-term data preservation and availability through regular backups and maintenance.

10. The method for exploring non-material spatial gene targets in traditional villages according to claim 9, characterized in that, The method also includes an application extension step: applying the results of the exploration method to cultural preservation practices, including developing targeted preservation plans based on the identified problem areas; The application extension steps also include evaluating the feedback loop, re-verifying whether the problem points have been mitigated by tracking the effectiveness of the protective measures, and optimizing the subsequent exploration process.

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