Non-abandoned cultural relic health prediction method and system based on big data

By collecting characteristic images and environmental information of intangible cultural heritage relics, and combining image recognition and big data technologies, the composition of the relics and the types of their environment can be identified, and potential risks can be predicted. This solves the problem that existing technologies cannot intelligently predict risks during the preservation of intangible cultural heritage relics, and improves the quality and scientific nature of management.

CN121745408APending Publication Date: 2026-03-27CHANGCHUN GUANGHUA UNIV
View PDF 1 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

The existing preservation process for intangible cultural heritage cannot make intelligent predictions based on the material characteristics of the intangible cultural heritage and the characteristics of the preservation environment, resulting in a decrease in management quality and scientific rigor.

Method used

By collecting characteristic image information and preservation environment information of intangible cultural heritage relics, and using image recognition algorithms and big data technology, the types of materials and environments that make up the relics are identified. Combined with environmental monitoring equipment, natural and biological environmental characteristics are obtained, potential risks are predicted, and health prediction information is generated.

Benefits of technology

It has enabled the accurate identification of the constituent materials and environmental characteristics of intangible cultural heritage, improving the accuracy of health prediction and the quality and scientific nature of intangible cultural heritage protection.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121745408A_ABST
    Figure CN121745408A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of state monitoring, and discloses a non-abandoned cultural relic health prediction method and system based on big data, and the system comprises a non-abandoned cultural relic material feature identification module, a non-abandoned cultural relic preservation environment evaluation module, and a non-abandoned cultural relic preservation health prediction module. Substance identification information is formed based on non-abandoned cultural relics. Non-abandoned cultural relic preservation natural environment type analysis information and non-abandoned cultural relic preservation biological environment type identification information are combined with an intelligent search algorithm and material environment feature information corresponding to different non-abandoned cultural relic preservation potential risk types based on big data storage to intelligently predict the non-abandoned cultural relic preservation potential risk types. The health state of the non-abandoned cultural relics is scientifically predicted based on the composition substances of the non-abandoned cultural relics and the preservation natural environment, and the preservation quality and scientificity of the non-abandoned cultural relics are effectively improved.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of state monitoring, and in particular to a non-heritage cultural relic health prediction method and system based on big data. BACKGROUND

[0002] Non-heritage cultural relics are historical remains of non-heritage culture, and can be divided into two categories: immovable cultural relics and movable cultural relics, which have artistic or scientific value. The immovable cultural relics include ancient buildings and ancient sites, and the movable cultural relics include artworks and handicrafts. The current non-heritage cultural relics need to rely on manual cultural relic preservation potential risk assessment during the preservation process. The existing non-heritage cultural relic preservation process cannot intelligently predict the preservation potential risk based on the material characteristics and preservation environment characteristics of non-heritage cultural relics, thereby reducing the quality and scientificity of non-heritage cultural relic management.

[0003] A Chinese invention patent with the patent number CN119067638B and the publication date of June 24, 2025 discloses a cultural relic protection state monitoring and preventive protection method based on a scenic spot. The method records cultural relic images in real time, collects cultural relic historical maintenance data, analyzes the cultural relic images through image recognition technology, obtains the historical cultural relic damage degree, comprehensively evaluates the cultural relic damage index according to the cultural relic maintenance information, collects the real-time temperature and humidity data near the cultural relic, calculates the environmental influence coefficient, collects the scenic spot passenger carrying capacity in the detection period, calculates the passenger influence coefficient, and comprehensively evaluates the cultural relic damage index. The cultural relic damage index is used for cultural relic damage early warning management. However, the above technical solution cannot scientifically predict the cultural relic damage based on the material characteristics and environmental characteristics of the cultural relics. SUMMARY

[0004] (I) Technical problems to be solved

[0005] To solve the above-mentioned problems that the existing non-heritage cultural relic preservation process cannot intelligently predict the preservation potential risk based on the material characteristics and preservation environment characteristics of non-heritage cultural relics, thereby reducing the quality and scientificity of non-heritage cultural relic management, the above-mentioned self-identification of non-heritage cultural relic composition material type, accurate identification of non-heritage cultural relic preservation environment type based on multi-source information, scientific intelligent prediction of non-heritage cultural relic preservation potential risk, and accurate non-heritage cultural relic preservation health prediction are realized, thereby improving the quality and scientificity of non-heritage cultural relic preservation.

[0006] (II) Technical solutions

[0007] The application is implemented by the following technical solutions: a non-heritage cultural relic health prediction method based on big data, which comprises the following steps:

[0008] S1, collect non-heritage cultural relic characteristic image information, identify the material type of the non-heritage cultural relic based on the image information of the non-heritage cultural relic, and obtain non-heritage cultural relic composition material identification information;

[0009] S2, collect non-heritage cultural relic preservation environment characteristic information and non-heritage cultural relic preservation environment characteristic image information; analyze the natural environment type of the non-heritage cultural relic preservation space, and obtain non-heritage cultural relic preservation natural environment type analysis information; identify the biological environment type of the non-heritage cultural relic preservation space, and obtain non-heritage cultural relic preservation biological environment type identification information;

[0010] S3, based on the composition material information and the preservation environment information of the non-heritage cultural relic, predict the potential risk type information of the non-heritage cultural relic preservation, and generate non-heritage cultural relic preservation health prediction information.

[0011] Preferably, the operation steps of collecting non-heritage cultural relic characteristic image information, identifying the material type of the non-heritage cultural relic based on the image information of the non-heritage cultural relic, and obtaining non-heritage cultural relic composition material identification information are as follows:

[0012] S11, collect the appearance image information of the target non-heritage cultural relic online through a monitoring lens, and generate non-heritage cultural relic characteristic image information;

[0013] S12, based on the non-heritage cultural relic characteristic image information and the non-heritage cultural relic characteristic image information set of different material composition types, identify the material type of the non-heritage cultural relic, and obtain non-heritage cultural relic composition material identification information.

[0014] Preferably, the operation steps of identifying the material type of the non-heritage cultural relic based on the non-heritage cultural relic characteristic image information and the non-heritage cultural relic characteristic image information set of different material composition types, and obtaining non-heritage cultural relic composition material identification information are as follows:

[0015] S121, establish a non-heritage cultural relic characteristic image information set of different material composition types , wherein represents the non-heritage cultural relic characteristic image information corresponding to the th material composition type; the material composition type includes bronze material, iron material, gold material, silver material, stone material, jade material, ceramic material, glass material, paper material, bamboo material, wood material, silk material and wool material; the non-heritage cultural relic characteristic image information of different material composition types represents the standard non-heritage cultural relic appearance image information set for different non-heritage cultural relic material composition types;

[0016] S122, use a DINOv2 image recognition model to compare the non-heritage cultural relic characteristic image information with the non-heritage cultural relic characteristic image information set of different material composition types Image information of intangible cultural heritage artifacts with different material compositions as described in the text Image matching is performed to search for the intangible cultural heritage feature image information corresponding to the different material composition types of intangible cultural heritage feature image information. The material composition type text information is used to construct the material composition identification information of the intangible cultural heritage artifact, which represents the material composition information of the target intangible cultural heritage artifact.

[0017] Preferably, the steps for collecting environmental feature information and image information of intangible cultural heritage (ICH) relics; analyzing and processing the natural environment type of the ICH relics preservation space to obtain natural environment type analysis information; and identifying the biological environment type of the ICH relics preservation space to obtain biological environment type identification information are as follows:

[0018] S21. Collect textual information on the natural environmental characteristics of the target intangible cultural heritage preservation space online using environmental monitoring equipment, and generate an information matrix of intangible cultural heritage preservation environment characteristics. ,in Indicates the number of collections The information includes environmental characteristics of intangible cultural heritage preservation corresponding to various natural environmental characteristics. These natural environmental characteristics include temperature, humidity, light intensity, precipitation pH, dust content, and wind speed. The environmental characteristics represent the collected natural environmental indicators of the location where the target intangible cultural heritage is preserved. The environmental monitoring equipment includes temperature and humidity sensors, light intensity detectors, precipitation pH detectors, air dust detectors, and wind speed detectors.

[0019] The system collects real-time images of the preservation environment of the target intangible cultural heritage artifacts online through monitoring cameras, and generates characteristic images of the preservation environment of the intangible cultural heritage artifacts.

[0020] S22. Based on the intangible cultural heritage preservation environment feature information matrix and the environmental feature information set of different preservation natural environment types, perform natural environment type analysis processing of the intangible cultural heritage preservation space to obtain intangible cultural heritage preservation natural environment type analysis information.

[0021] S23. Based on the image information of the preservation environment of the intangible cultural heritage and the image information set of the environmental features of different preservation biological environments, perform biological environment type identification processing on the preservation space of the intangible cultural heritage to obtain biological environment type identification information for the preservation of intangible cultural heritage.

[0022] Preferably, based on the non-heritage cultural relic preservation environment feature information matrix and different preservation natural environment type environment feature information set, the natural environment type of the non-heritage cultural relic preservation space is analyzed and processed, and the operation steps of obtaining the non-heritage cultural relic preservation natural environment type analysis information are as follows:

[0023] S221, constructing different preservation natural environment type environment feature information set , wherein indicates the different preservation natural environment type environment feature information corresponding to the th non-heritage cultural relic preservation natural environment type; the non-heritage cultural relic preservation natural environment type includes non-heritage cultural relic preservation environment dryness, non-heritage cultural relic preservation environment humidity, non-heritage cultural relic preservation environment humidity normal, non-heritage cultural relic preservation environment high temperature, non-heritage cultural relic preservation environment low temperature, non-heritage cultural relic preservation environment temperature normal, non-heritage cultural relic preservation environment light intensity high, non-heritage cultural relic preservation environment light intensity low, non-heritage cultural relic preservation environment light intensity normal, non-heritage cultural relic preservation environment wind speed high, non-heritage cultural relic preservation environment wind speed low and non-heritage cultural relic preservation environment wind speed normal; the different preservation natural environment type environment feature information indicates the standard natural environment feature information set for different non-heritage cultural relic preservation natural environment types;

[0024] S222, using Boyer-Moore search algorithm to match the non-heritage cultural relic preservation environment feature information in the non-heritage cultural relic preservation environment feature information matrix with the different preservation natural environment type environment feature information in the different preservation natural environment type environment feature information set, search the different preservation natural environment type environment feature information most matched with the non-heritage cultural relic preservation natural environment feature information , and construct the non-heritage cultural relic preservation natural environment type analysis information through data identification.

[0025] Preferably, based on the non-heritage cultural relic preservation environment feature image information and different preservation biological environment type environment feature image information set, the biological environment type of the non-heritage cultural relic preservation space is identified and processed, and the operation steps of obtaining the non-heritage cultural relic preservation biological environment type identification information are as follows:

[0026] S231, establishing different preservation biological environment type environment feature image information set , wherein indicates the different preservation biological environment type environment feature image information corresponding to the ​​​​The different preservation biological environment type environment characteristic image information corresponding to the non-heritage cultural relic preservation biological environment type is represented as standard real scene environment image information set for different non-heritage cultural relic preservation biological environment types;

[0027] S232, the non-heritage cultural relic preservation environment characteristic image information is matched with the different preservation biological environment type environment characteristic image information set The different preservation biological environment type environment characteristic image information is matched with the non-heritage cultural relic preservation environment characteristic image information The corresponding non-heritage cultural relic preservation biological environment type text information is constructed, and non-heritage cultural relic preservation biological environment type identification information is constructed. The specific operation steps of constructing the non-heritage cultural relic preservation biological environment type identification information are as follows:

[0028] S2321, the non-heritage cultural relic preservation environment characteristic image information and the different preservation biological environment type environment characteristic image information set The different preservation biological environment type environment characteristic image information is matched with the non-heritage cultural relic preservation environment characteristic image information ;

[0029] S2322, the non-heritage cultural relic preservation environment characteristic frame and the different preservation biological environment type environment characteristic frame are measured and processed based on the OpenCV library, and non-heritage cultural relic preservation environment characteristic frame pixel values and different preservation biological environment type environment characteristic frame pixel values

[0030] S2323, the non-heritage cultural relic preservation environment characteristic frame pixel values and the different preservation biological environment type environment characteristic frame pixel values are combined with the Euclidean distance formula to calculate the Euclidean distance value of the non-heritage cultural relic preservation environment characteristic image information and the different preservation biological environment type environment characteristic image information , and a non-heritage cultural relic preservation biological environment characteristic image Euclidean distance value set is generated , wherein represents the Euclidean distance value of the non-heritage cultural relic preservation environment characteristic image information and the different preservation biological environment type environment characteristic image information Corresponding non-heritage cultural relic preservation biological environment characteristic image Euclidean distance value; Euclidean distance formula is as follows: Wherein Indicates the non-heritage cultural relic preservation environment characteristic frame divided in the non-heritage cultural relic preservation environment characteristic image information Corresponding to the non-heritage cultural relic preservation environment characteristic frame and the different preservation biological environment type environment characteristic frame Divided in the different preservation biological environment type environment characteristic image information The pixel value difference of the non-heritage cultural relic preservation environment characteristic frame and the different preservation biological environment type environment characteristic frame Corresponding to the non-heritage cultural relic preservation environment characteristic frame and the different preservation biological environment type environment characteristic frame Pixel value difference, Indicates the total number of image frame division in the non-heritage cultural relic preservation environment characteristic image information and the different preservation biological environment type environment characteristic image information

[0031] S2324, based on the non-heritage cultural relic preservation biological environment characteristic image Euclidean distance value set The non-heritage cultural relic preservation biological environment characteristic image Euclidean distance value In the different preservation biological environment type environment characteristic image information set Search for the different preservation biological environment type environment characteristic image information with the smallest Euclidean distance value in the different preservation biological environment type environment characteristic image information set Corresponding non-heritage cultural relic preservation biological environment type text information, and construct non-heritage cultural relic preservation biological environment type identification information.

[0032] Preferably, the non-heritage cultural relic composition material information and the preservation environment information are used to predict the non-heritage cultural relic preservation potential risk type information, and the operation steps for generating the non-heritage cultural relic preservation health prediction information are as follows:

[0033] S31, obtain the non-heritage cultural relic composition material identification information, the non-heritage cultural relic preservation natural environment type analysis information and the non-heritage cultural relic preservation biological environment type identification information;

[0034] S32, based on the non-heritage cultural relic composition material identification information, the non-heritage cultural relic preservation natural environment type analysis information and the non-heritage cultural relic preservation biological environment type identification information, and the different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information matrix, the non-heritage cultural relic preservation potential risk type prediction processing is carried out, and the non-heritage cultural relic preservation health prediction information is obtained.

[0035] ​Preferably, based on the non-heritage composition material identification information, the non-heritage preservation natural environment type analysis information and the non-heritage preservation biological environment type identification information, the non-heritage preservation potential risk type prediction processing is performed on the different non-heritage preservation potential risk type corresponding material environment characteristic information matrix, and the operation steps of obtaining the non-heritage preservation health prediction information are as follows:

[0036] S321, a different non-heritage preservation potential risk type corresponding material environment characteristic information matrix is established , wherein represents the different non-heritage preservation potential risk type corresponding material environment characteristic information corresponding to the non-heritage preservation potential risk type; the non-heritage preservation potential risk type includes weathering erosion, acidification corrosion, mineralization erosion, cracking erosion, mold erosion, metamorphic decay and physical damage; the different non-heritage preservation potential risk type corresponding material environment characteristic information represents the data set of the standard non-heritage composition material information, the preservation natural environment information and the preservation biological environment information set for different non-heritage preservation potential risk types;

[0037] S322, the non-heritage composition material identification information, the non-heritage preservation natural environment type analysis information and the non-heritage preservation biological environment type identification information are matched with the different non-heritage preservation potential risk type corresponding material environment characteristic information matrix The different non-heritage preservation potential risk type corresponding material environment characteristic information The material combination and preservation environment information of the non-heritage are matched, and the different non-heritage preservation potential risk type corresponding material environment characteristic information most matched with the non-heritage composition material identification information, the non-heritage preservation natural environment type analysis information and the non-heritage preservation biological environment type identification information is searched The corresponding non-heritage preservation potential risk type information is generated, and the non-heritage preservation health prediction information is generated.

[0038] The non-heritage health prediction system based on big data is used to realize the non-heritage health prediction method based on big data, and the system includes a non-heritage material characteristic identification module, a non-heritage preservation environment evaluation module and a non-heritage preservation health prediction module.

[0039] The non-heritage material characteristic identification module includes a non-heritage characteristic image acquisition unit, a different composition material type non-heritage characteristic image storage unit and a non-heritage composition material type identification unit.

[0040] The non-heritage cultural relic characteristic image acquisition unit acquires non-heritage cultural relic characteristic image information through a monitoring lens; the different composition material type non-heritage cultural relic characteristic image storage unit is used for storing different material composition type non-heritage cultural relic characteristic image information; the non-heritage cultural relic composition material type identification unit performs non-heritage cultural relic composition material type identification processing based on the non-heritage cultural relic characteristic image information and the different material composition type non-heritage cultural relic characteristic image information stored based on big data, and obtains non-heritage cultural relic composition material identification information.

[0041] The non-heritage cultural relic preservation environment assessment module includes a non-heritage cultural relic preservation environment characteristic information acquisition unit, a non-heritage cultural relic preservation environment characteristic image acquisition unit, a different preservation natural environment type environment characteristic information storage unit, a non-heritage cultural relic preservation natural environment type identification unit, a different preservation biological environment type environment characteristic image storage unit, and a non-heritage cultural relic preservation biological environment type identification unit.

[0042] The non-heritage cultural relic preservation environment characteristic information acquisition unit acquires non-heritage cultural relic preservation environment characteristic information through an environment monitoring device; the non-heritage cultural relic preservation environment characteristic image acquisition unit acquires non-heritage cultural relic preservation environment characteristic image information through a monitoring lens; the different preservation natural environment type environment characteristic information storage unit is used for storing different preservation natural environment type environment characteristic information; the non-heritage cultural relic preservation natural environment type identification unit performs non-heritage cultural relic preservation space natural environment type analysis processing based on the non-heritage cultural relic preservation environment characteristic information and the different preservation natural environment type environment characteristic information, and obtains non-heritage cultural relic preservation natural environment type analysis information; the different preservation biological environment type environment characteristic image storage unit is used for storing different preservation biological environment type environment characteristic image information; and the non-heritage cultural relic preservation biological environment type identification unit performs non-heritage cultural relic preservation space biological environment type identification processing based on the non-heritage cultural relic preservation environment characteristic image information and the different preservation biological environment type environment characteristic image information, and obtains non-heritage cultural relic preservation biological environment type identification information.

[0043] The non-heritage cultural relic preservation health prediction module includes a different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information storage unit and a non-heritage cultural relic preservation health prediction unit.

[0044] The different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information storage unit is used for storing different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information; the non-heritage cultural relic preservation health prediction unit carries out non-heritage cultural relic preservation potential risk type prediction processing on the non-heritage cultural relic composition material identification information, the non-heritage cultural relic preservation natural environment type analysis information and the non-heritage cultural relic preservation biological environment type identification information and different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information, and obtains non-heritage cultural relic preservation health prediction information.

[0045] (Three) beneficial effects

[0046] The application provides a non-heritage cultural relic health prediction method and system based on big data.

[0047] I. The characteristic image information of the non-heritage cultural relic is dynamically collected through a monitoring lens, real data support is provided for accurately analyzing the composition material type of the non-heritage cultural relic, intelligent identification processing of the material type of the composition of the non-heritage cultural relic is carried out based on the characteristic image information of the non-heritage cultural relic in combination with an intelligent image recognition algorithm and different material composition type non-heritage cultural relic characteristic image information stored based on big data, accurate detection of the composition material of the non-heritage cultural relic is realized, the accuracy of non-heritage cultural relic health prediction is improved, and the quality of non-heritage cultural relic protection is improved.

[0048] II. The characteristic information and real scene image information of the preservation environment of the non-heritage cultural relic are accurately obtained through an environmental monitoring device and a monitoring lens, reliable data support is provided for scientifically identifying the natural environment type and biological environment type of the non-heritage cultural relic protection, scientific analysis of the natural environment type of the non-heritage cultural relic preservation space is carried out based on the characteristic information of the preservation environment of the non-heritage cultural relic in combination with an intelligent search algorithm and different preservation natural environment type environment characteristic information stored based on big data, accurate identification of the natural environment characteristic of the non-heritage cultural relic preservation space is realized based on multi-source data, the precision of non-heritage cultural relic health prediction is improved, independent identification of the biological environment type of the non-heritage cultural relic preservation space is carried out based on the characteristic image information of the preservation environment of the non-heritage cultural relic in combination with an intelligent image search algorithm and scientifically stored different preservation biological environment type environment characteristic image information, scientific identification of the biological characteristic of the non-heritage cultural relic preservation real space is realized, and the health state of the non-heritage cultural relic is scientifically evaluated based on the natural environment characteristic and the biological characteristic of the non-heritage cultural relic preservation.

[0049] III. Intelligent prediction of the non-heritage cultural relic preservation potential risk type is carried out based on the non-heritage cultural relic composition material identification information, the non-heritage cultural relic preservation natural environment type analysis information and the non-heritage cultural relic preservation biological environment type identification information in combination with an intelligent search algorithm and different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information stored based on big data, the health state of the non-heritage cultural relic is scientifically predicted based on the composition material and the preservation natural environment of the non-heritage cultural relic, and the quality and scientific nature of the non-heritage cultural relic preservation are effectively improved. BRIEF DESCRIPTION OF DRAWINGS

[0050] Fig. 1 A module schematic diagram of the big data-based intangible cultural heritage artifact health prediction system provided by the present application;

[0051] Fig. 2 A flowchart of the big data-based intangible cultural heritage artifact health prediction method provided by the present application. DETAILED DESCRIPTION

[0052] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0053] The implementation of the big data-based intangible cultural heritage artifact health prediction method and system is as follows:

[0054] Embodiment 1:

[0055] Please refer to Figs. 1-2 , the big data-based intangible cultural heritage artifact health prediction method, the method comprising the following steps:

[0056] S1, collect intangible cultural heritage characteristic image information, identify the material type of the intangible cultural heritage based on the image information of the intangible cultural heritage, and obtain intangible cultural heritage composition material identification information;

[0057] S2, collect intangible cultural heritage preservation environment characteristic information and intangible cultural heritage preservation environment characteristic image information; analyze the natural environment type of the intangible cultural heritage preservation space, and obtain intangible cultural heritage preservation natural environment type analysis information; identify the biological environment type of the intangible cultural heritage preservation space, and obtain intangible cultural heritage preservation biological environment type identification information;

[0058] S3, predict the potential risk type information of the intangible cultural heritage based on the composition material information and the preservation environment information of the intangible cultural heritage, and generate intangible cultural heritage preservation health prediction information.

[0059] Further, please refer to Figs. 1-2 , collect intangible cultural heritage characteristic image information, identify the material type of the intangible cultural heritage based on the image information of the intangible cultural heritage, and obtain intangible cultural heritage composition material identification information, the operation steps are as follows:

[0060] S11, collect the appearance image information of the target intangible cultural heritage online through a monitoring lens, and generate intangible cultural heritage characteristic image information;

[0061] S12, based on the non-heritage characteristic image information and the different material composition type non-heritage characteristic image information set, the material type identification processing of the non-heritage composition is carried out, and the non-heritage composition material identification information is obtained.

[0062] Based on the non-heritage characteristic image information and the different material composition type non-heritage characteristic image information set, the material type identification processing of the non-heritage composition is carried out, and the non-heritage composition material identification information is obtained. The operation steps are as follows:

[0063] S121, different material composition type non-heritage characteristic image information set is established , wherein represents the first Material composition type corresponding different material composition type non-heritage characteristic image information; Material composition type includes bronze material, iron material, gold material, silver material, stone material, jade material, ceramic material, glass material, paper material, bamboo material, wood material, silk material and wool material; Different material composition type non-heritage characteristic image information represents the standard non-heritage appearance image information set for different non-heritage material composition types;

[0064] S122, using DINOv2 image recognition model, the non-heritage characteristic image information is matched with the different material composition type non-heritage characteristic image information set Different material composition type non-heritage characteristic image information Image matching, searching for the material composition type text information of the non-heritage characteristic image information corresponding to the different material composition type non-heritage characteristic image information , and constructing non-heritage composition material identification information, which represents the material composition information of the target non-heritage.

[0065] Through the non-heritage characteristic image acquisition unit, the non-heritage characteristic image information is dynamically acquired by using the monitoring lens, which provides real data support for accurately analyzing the composition material type of non-heritage; The non-heritage composition material type identification unit, based on the non-heritage characteristic image information, combines intelligent image recognition algorithm and different material composition type non-heritage characteristic image information based on big data storage, carries out intelligent identification processing of the material type of non-heritage composition, realizes accurate detection of the composition material of non-heritage, improves the accuracy of non-heritage health prediction, and improves the quality of non-heritage protection.

[0066] Further, please refer to Figs. 1-2, collect the non-heritage cultural relic preservation environment characteristic information and the non-heritage cultural relic preservation environment characteristic image information; the operation steps of analyzing and processing the natural environment type of the non-heritage cultural relic preservation space, obtaining the non-heritage cultural relic preservation natural environment type analysis information, and identifying and processing the biological environment type of the non-heritage cultural relic preservation space, obtaining the non-heritage cultural relic preservation biological environment type identification information are as follows:

[0067] S21, collecting natural environment characteristic text information of the target non-heritage cultural relic preservation space through the environment monitoring device, and generating non-heritage cultural relic preservation environment characteristic information matrix , wherein represents the non-heritage cultural relic preservation environment characteristic information corresponding to the collected natural environment characteristic type; the natural environment characteristic type includes temperature characteristic type, humidity characteristic type, light intensity characteristic type, precipitation PH value characteristic type, dust content characteristic type and wind speed characteristic type of the non-heritage cultural relic preservation environment; the non-heritage cultural relic preservation environment characteristic information represents the natural environment index information of the target non-heritage cultural relic preservation; the environment monitoring device includes a temperature and humidity sensor, a light intensity detector, a precipitation PH value detector, an air dust detector and a wind speed detector;

[0068] Collecting real scene image information of the target non-heritage cultural relic preservation environment through the monitoring lens online, and generating non-heritage cultural relic preservation environment characteristic image information;

[0069] S22, based on the non-heritage cultural relic preservation environment characteristic information matrix and different preservation natural environment type environment characteristic information set, analyzing and processing the natural environment type of the non-heritage cultural relic preservation space, obtaining the non-heritage cultural relic preservation natural environment type analysis information;

[0070] S23, based on the non-heritage cultural relic preservation environment characteristic image information and different preservation biological environment type environment characteristic image information set, identifying and processing the biological environment type of the non-heritage cultural relic preservation space, obtaining the non-heritage cultural relic preservation biological environment type identification information.

[0071] The operation steps of analyzing and processing the natural environment type of the non-heritage cultural relic preservation space based on the non-heritage cultural relic preservation environment characteristic information matrix and different preservation natural environment type environment characteristic information set, obtaining the non-heritage cultural relic preservation natural environment type analysis information are as follows:

[0072] S221, constructing different preservation natural environment type environment characteristic information set , wherein represents the non-heritage cultural relic preservation environment characteristic information corresponding to the collected natural environment characteristic type; the natural environment characteristic type includes temperature characteristic type, humidity characteristic type, light intensity characteristic type, precipitation PH value characteristic type, dust content characteristic type and wind speed characteristic type of the non-heritage cultural relic preservation environment; the non-heritage cultural relic preservation environment characteristic information represents the natural environment index information of the target non-heritage cultural relic preservation; the environment monitoring device includes a temperature and humidity sensor, a light intensity detector, a precipitation PH value detector, an air dust detector and a wind speed detector; ​This section provides environmental characteristic information for different types of natural environments used for the preservation of intangible cultural heritage (ICH) cultural relics. These types include: dry environment, humid environment, normal humidity environment, high temperature environment, low temperature environment, normal temperature environment, high light intensity environment, low light intensity environment, normal light intensity environment, high wind speed environment, low wind speed environment, and normal wind speed environment. The environmental characteristic information for each type represents the standard natural environment characteristic information set for that specific type of ICH preservation environment.

[0073] S222. The Boyer-Moore search algorithm is used to generate a matrix of intangible cultural heritage preservation environment feature information. Information on the characteristics of the preservation environment of Chinese and Intangible Cultural Heritage Information sets of environmental characteristics of different types of preserved natural environments Information on environmental characteristics of different types of natural environments in China By matching natural environmental feature information, we can find the environmental feature information of different preservation natural environment types that best match the preservation natural feature information of intangible cultural heritage relics. The corresponding textual information on the type of natural environment for the preservation of intangible cultural heritage is used to construct an analysis of the type of natural environment for the preservation of intangible cultural heritage through data identification.

[0074] The steps for identifying the biological environment type of intangible cultural heritage (ICH) preservation space based on image information of ICH preservation environment features and image information of different preservation biological environment types are as follows:

[0075] S231. Establish an image information set of environmental characteristics for different types of preserved biological environments. ,in Indicates the first Image information of environmental characteristics of different biological environments corresponding to the types of biological environments for the preservation of intangible cultural heritage; the types of biological environments for the preservation of intangible cultural heritage include plants, algae, lichens, microorganisms, insects and animals in the biological environment for the preservation of intangible cultural heritage; the image information of environmental characteristics of different biological environments is represented by standard real-scene environmental image information set for different biological environments for the preservation of intangible cultural heritage.

[0076] S232. The Euclidean distance algorithm is used to combine the image information of the preservation environment of intangible cultural heritage relics with the image information sets of the environmental characteristics of different preservation biological environments. Image information of environmental characteristics of different types of biological environments Image feature matching was performed to search for different types of biological environments that matched the image information of intangible cultural heritage preservation environments. The corresponding textual information on the biological environment type of intangible cultural heritage relics was used to construct identification information for the biological environment type of intangible cultural heritage relics. The specific steps for constructing the identification information for the biological environment type of intangible cultural heritage relics are as follows:

[0077] S2321, respectively set up image information of the preservation environment of intangible cultural heritage relics and image information of the environmental characteristics of different types of preservation biological environments. Image information of environmental characteristics of different types of biological environments Image feature frames are segmented to generate feature frames of intangible cultural heritage preservation environment and feature frames of different preservation biological environment types. ;

[0078] S2322, Based on the OpenCV library, feature frames of intangible cultural heritage preservation environment and feature frames of different preservation biological environments. Pixel value measurement and processing of image frames are performed to generate pixel values ​​of intangible cultural heritage preservation environment feature frames and pixel values ​​of environmental feature frames for different preservation biological environment types.

[0079] S2323, Pixel values ​​of environmental feature frames based on intangible cultural heritage preservation environment and environmental feature frames of different preservation biological environment types Furthermore, by combining the Euclidean distance formula, the environmental feature image information of intangible cultural heritage relics and the environmental feature image information of different types of preservation biological environments were calculated. Euclidean distance values ​​are used to generate a set of Euclidean distance values ​​for images of the biological environment in which intangible cultural heritage is preserved. ,in Image information representing the environmental characteristics of intangible cultural heritage artifacts and image information representing the environmental characteristics of different types of biological environments in which they are preserved. The corresponding Euclidean distance value of the biological environment characteristic image of the intangible cultural heritage preservation; the Euclidean distance formula is as follows: ,in The image information representing the characteristics of the preservation environment of intangible cultural heritage relics is divided into the first category. Image information on the environmental characteristics of intangible cultural heritage relics and different types of biological environments in which they are preserved. The first division in the middle Environmental feature frames of different types of preserved biological environments The corresponding pixel values ​​of the environmental feature frames for the preservation of intangible cultural heritage relics and the pixel values ​​of the environmental feature frames for different types of preservation biological environments. Pixel difference, Image information representing the environmental characteristics of intangible cultural heritage artifacts and image information representing the environmental characteristics of different types of biological environments in which they are preserved. The total number of image frame divisions in the middle;

[0080] S2324, based on the non-heritage preservation biological environment characteristic image Euclidean distance value set Non-heritage preservation biological environment characteristic image Euclidean distance value In different preservation biological environment type environment characteristic image information set The Euclidean distance value of the smallest different preservation biological environment type environment characteristic image information is searched out The corresponding non-heritage preservation biological environment type text information is constructed, and the non-heritage preservation biological environment type identification information is constructed.

[0081] Through the cooperation of the non-heritage preservation environment characteristic information collection unit and the non-heritage preservation environment characteristic image collection unit, the non-heritage preservation environment characteristic information and the preservation environment real scene image information are accurately obtained through the environment monitoring equipment and the monitoring lens, which provides reliable data support for scientifically identifying the natural environment type and the biological environment type of the non-heritage preservation; The non-heritage preservation natural environment type identification unit is based on the non-heritage preservation environment characteristic information, combined with the intelligent search algorithm and the different preservation natural environment type environment characteristic information stored based on big data, to scientifically analyze the natural environment type of the non-heritage preservation space, accurately identify the natural environment characteristic of the non-heritage preservation based on multi-source data, and improve the precision of the non-heritage health prediction; The non-heritage preservation biological environment type identification unit is based on the non-heritage preservation environment characteristic image information, combined with the intelligent image search algorithm and the different preservation biological environment type environment characteristic image information stored scientifically, to independently identify the biological environment type of the non-heritage preservation space, scientifically identify the biological characteristics of the non-heritage preservation real space, and scientifically evaluate the health status of the non-heritage based on the natural environment characteristics and biological characteristics of the non-heritage preservation.

[0082] Further, please refer to Figs. 1-2 , based on the composition material information and the preservation environment information of the non-heritage, the potential risk type information of the non-heritage preservation is predicted, and the operation steps of generating the non-heritage preservation health prediction information are as follows:

[0083] S31, obtain the non-heritage composition material identification information, the non-heritage preservation natural environment type analysis information and the non-heritage preservation biological environment type identification information;

[0084] S32, based on the non-heritage composition material identification information, the non-heritage preservation natural environment type analysis information and the non-heritage preservation biological environment type identification information, the non-heritage preservation potential risk type prediction processing is carried out on the different non-heritage preservation potential risk type corresponding material environment characteristic information matrix, and the non-heritage preservation health prediction information is obtained.

[0085] The operation steps of obtaining the intangible cultural heritage preservation health prediction information by predicting the potential risk type of intangible cultural heritage preservation based on the intangible cultural heritage composition material identification information, intangible cultural heritage preservation natural environment type analysis information and intangible cultural heritage preservation biological environment type identification information, and the corresponding material environment characteristic information matrix of different intangible cultural heritage preservation potential risk types are as follows:

[0086] S321, establishing a corresponding material environment characteristic information matrix of different intangible cultural heritage preservation potential risk types , wherein represents the corresponding material environment characteristic information of the th intangible cultural heritage preservation potential risk type; the intangible cultural heritage preservation potential risk types include weathering erosion, acidification corrosion, mineralization erosion, cracking erosion, mold erosion, metamorphic decay and physical damage; the corresponding material environment characteristic information of different intangible cultural heritage preservation potential risk types represents the data set of the composition material information, preservation natural environment information and preservation biological environment information of the standard intangible cultural heritage set for different intangible cultural heritage preservation potential risk types;

[0087] S322, performing the corresponding material environment characteristic information of different intangible cultural heritage preservation potential risk types by matching the intangible cultural heritage composition material identification information, intangible cultural heritage preservation natural environment type analysis information and intangible cultural heritage preservation biological environment type identification information with the corresponding material environment characteristic information matrix of different intangible cultural heritage preservation potential risk types ; performing the material combination and preservation environment information matching of the intangible cultural heritage, searching the corresponding intangible cultural heritage preservation potential risk type information of the corresponding material environment characteristic information of different intangible cultural heritage preservation potential risk types which is most matched with the intangible cultural heritage composition material identification information, intangible cultural heritage preservation natural environment type analysis information and intangible cultural heritage preservation biological environment type identification information, and generating the intangible cultural heritage preservation health prediction information.

[0088] Through the intangible cultural heritage preservation health prediction unit, the potential risk type of intangible cultural heritage preservation is intelligently predicted based on the intangible cultural heritage composition material identification information, intangible cultural heritage preservation natural environment type analysis information and intangible cultural heritage preservation biological environment type identification information combined with the intelligent search algorithm and the corresponding material environment characteristic information of different intangible cultural heritage preservation potential risk types based on big data storage, so as to realize the scientific prediction of the health state of intangible cultural heritage based on the composition material, preservation natural environment and preservation biological environment of intangible cultural heritage, and effectively improve the quality and scientific nature of intangible cultural heritage preservation.

[0089] Embodiment 2:

[0090] Please refer to Figs. 1-2 ​, the big data-based intangible cultural heritage artifact health prediction system is used for realizing the big data-based intangible cultural heritage artifact health prediction method, and the system comprises an intangible cultural heritage artifact material feature identification module, an intangible cultural heritage artifact preservation environment evaluation module and an intangible cultural heritage artifact preservation health prediction module;

[0091] The intangible cultural heritage artifact material feature identification module comprises an intangible cultural heritage artifact feature image acquisition unit, a different composition material type intangible cultural heritage artifact feature image storage unit and an intangible cultural heritage artifact composition material type identification unit.

[0092] The intangible cultural heritage artifact feature image acquisition unit acquires intangible cultural heritage artifact feature image information through a monitoring lens; the different composition material type intangible cultural heritage artifact feature image storage unit is used for storing different material composition type intangible cultural heritage artifact feature image information; and the intangible cultural heritage artifact composition material type identification unit performs intangible cultural heritage artifact composition material type identification processing based on intangible cultural heritage artifact feature image information and different material composition type intangible cultural heritage artifact feature image information stored based on big data, to obtain intangible cultural heritage artifact composition material identification information.

[0093] The intangible cultural heritage artifact preservation environment evaluation module comprises an intangible cultural heritage artifact preservation environment feature information acquisition unit, an intangible cultural heritage artifact preservation environment feature image acquisition unit, a different preservation natural environment type environment feature information storage unit, an intangible cultural heritage artifact preservation natural environment type identification unit, a different preservation biological environment type environment feature image storage unit and an intangible cultural heritage artifact preservation biological environment type identification unit.

[0094] The intangible cultural heritage artifact preservation environment feature information acquisition unit acquires intangible cultural heritage artifact preservation environment feature information through an environment monitoring device; the intangible cultural heritage artifact preservation environment feature image acquisition unit acquires intangible cultural heritage artifact preservation environment feature image information through a monitoring lens; the different preservation natural environment type environment feature information storage unit is used for storing different preservation natural environment type environment feature information; the intangible cultural heritage artifact preservation natural environment type identification unit performs intangible cultural heritage artifact preservation space natural environment type analysis processing based on intangible cultural heritage artifact preservation environment feature information and different preservation natural environment type environment feature information, to obtain intangible cultural heritage artifact preservation natural environment type analysis information; the different preservation biological environment type environment feature image storage unit is used for storing different preservation biological environment type environment feature image information; and the intangible cultural heritage artifact preservation biological environment type identification unit performs intangible cultural heritage artifact preservation space biological environment type identification processing based on intangible cultural heritage artifact preservation environment feature image information and different preservation biological environment type environment feature image information, to obtain intangible cultural heritage artifact preservation biological environment type identification information.

[0095] The intangible cultural heritage artifact preservation health prediction module comprises a different intangible cultural heritage artifact preservation potential risk type corresponding material environment feature information storage unit and an intangible cultural heritage artifact preservation health prediction unit.

[0096] The different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information storage unit is used for storing different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information; the non-heritage cultural relic preservation health prediction unit carries out non-heritage cultural relic preservation potential risk type prediction processing based on the non-heritage cultural relic component material identification information, the non-heritage cultural relic preservation natural environment type analysis information and the non-heritage cultural relic preservation biological environment type identification information and different non-heritage cultural relic preservation potential risk type corresponding material environment characteristic information, and obtains non-heritage cultural relic preservation health prediction information.

[0097] While the embodiments of the application have been illustrated and described, it will be understood by those skilled in the art that various changes, modifications, substitutions, and alterations can be made therein without departing from the spirit and scope of the application, which is defined by the appended claims and their equivalents.

Claims

1. A method for predicting the health of intangible cultural heritage based on big data, characterized in that, The method comprises the following steps: S1, collecting non-heritage cultural relic characteristic image information, identifying the material type of the non-heritage cultural relic based on the image information of the non-heritage cultural relic, and obtaining non-heritage cultural relic composition material identification information; S2, collecting non-heritage cultural relic preservation environment characteristic information and non-heritage cultural relic preservation environment characteristic image information; analyzing the natural environment type of the non-heritage cultural relic preservation space to obtain non-heritage cultural relic preservation natural environment type analysis information; identifying the biological environment type of the non-heritage cultural relic preservation space to obtain non-heritage cultural relic preservation biological environment type identification information; S3, predicting the potential risk type information of the non-heritage cultural relic preservation based on the composition material information and the preservation environment information of the non-heritage cultural relic, and generating non-heritage cultural relic preservation health prediction information.

2. The big data-based intangible cultural heritage artifact health prediction method of claim 1, wherein: The operation steps of S1 are as follows: S11, collecting the appearance image information of the target non-heritage cultural relic online through a monitoring lens, and generating non-heritage cultural relic characteristic image information; S12, identifying the material type of the non-heritage cultural relic based on the non-heritage cultural relic characteristic image information and the non-heritage cultural relic characteristic image information set of different material composition types, and obtaining non-heritage cultural relic composition material identification information. 3.The big data-based intangible cultural heritage artifact health prediction method of claim 2, wherein: The operation steps of S12 are as follows: S121, establishing a characteristic image information set of different material composition types of non-heritage cultural relics , the characteristic image information set of different material composition types of non-heritage cultural relics includes ; wherein indicates a first material composition type corresponding to different material composition types of non-heritage cultural relics characteristic image information S122. Using the DINOv2 image recognition model, the intangible cultural heritage feature image information is compared with the... The above Image matching is performed to search for the intangible cultural heritage feature image information corresponding to the [specific image information]. The text information on the material composition types was used to construct the material identification information of intangible cultural heritage artifacts.

4. The big data-based intangible cultural heritage artifact health prediction method of claim 3, wherein: The operation steps of S2 are as follows: S21, collecting natural environment characteristic text information of the target non-heritage cultural relic preservation space by the environment monitoring device online, and generating a non-heritage cultural relic preservation environment characteristic information matrix , the method comprises comprising ; wherein represents the non-heritage cultural relic preservation environment characteristic information corresponding to the collected natural environment characteristic type ​ Collecting the real scene image information of the target non-heritage cultural relic preservation environment online through a monitoring lens, and generating non-heritage cultural relic preservation environment characteristic image information; S22, analyzing the natural environment type of the non-heritage cultural relic preservation space based on the non-heritage cultural relic preservation environment characteristic information matrix and the environment characteristic information set of different preservation natural environment types, and obtaining non-heritage cultural relic preservation natural environment type analysis information; S23, identifying the biological environment type of the non-heritage cultural relic preservation space based on the non-heritage cultural relic preservation environment characteristic image information and the environment characteristic image information set of different preservation biological environment types, and obtaining non-heritage cultural relic preservation biological environment type identification information.

5. The big data-based intangible cultural heritage artifact health prediction method of claim 4, wherein: The operation steps of S22 are as follows: S221, constructing an environment characteristic information set of different preservation natural environment types , the includes ; wherein indicates the different preservation natural environment type corresponding to the non-heritage cultural relic preservation natural environment type S222, using the Boyer-Moore search algorithm to search the described in the described in the described in the natural environment feature information matching, searching the corresponding intangible cultural heritage preservation natural environment type text information, and constructing intangible cultural heritage preservation natural environment type analysis information through data identification. 6.The big data-based intangible cultural heritage artifact health prediction method of claim 5, wherein: The operation steps of S23 are as follows: S231, establish different preservation biological environment type environment characteristic image information set , the include ; wherein indicates the non-heritage preservation biological environment type corresponding to different preservation biological environment type environment characteristic image information; S232, using the Euclidean distance algorithm to match the non-heritage cultural relic preservation environment feature image information with the image feature matching, searching for the non-heritage cultural relic preservation environment feature image information matched with the corresponding non-heritage cultural relic preservation biological environment type text information, and constructing non-heritage cultural relic preservation biological environment type identification information; the specific operation steps of constructing the non-heritage cultural relic preservation biological environment type identification information are as follows:​ S2321, respectively, to the non-heritage cultural relic preservation environment characteristic image information and the image in the image in the ; S2322、based on the OpenCV library, the non-heritage cultural relic preservation environment feature frame and the pixel value measurement processing of the image frame is performed to generate the non-heritage cultural relic preservation environment feature frame pixel value and the different preservation biological environment type environment feature frame pixel value S2323、based on the non-heritage cultural preservation environment characteristic frame pixel value and the And combined with the Euclidean distance formula, the Euclidean distance value of the non-heritage cultural preservation environment characteristic image information and the The Euclidean distance value of the non-heritage cultural preservation biological environment characteristic image is generated , the includes ; wherein Indicates the Euclidean distance value of the non-heritage cultural preservation environment characteristic image information and the Corresponding non-heritage cultural preservation biological environment characteristic image S2324、based on the in the in the in the corresponding non-heritage preservation biological environment type text information, and construct non-heritage preservation biological environment type identification information.

7. The big data-based intangible cultural heritage artifact health prediction method of claim 6, wherein: The operation steps of S3 are as follows: S31, obtaining the non-heritage cultural relic composition material identification information, the non-heritage cultural relic preservation natural environment type analysis information, and the non-heritage cultural relic preservation biological environment type identification information; S32, predicting the potential risk type of the non-heritage cultural relic preservation based on the non-heritage cultural relic composition material identification information, the non-heritage cultural relic preservation natural environment type analysis information, and the non-heritage cultural relic preservation biological environment type identification information and the corresponding material environment characteristic information matrix of different non-heritage cultural relic preservation potential risk types, and obtaining non-heritage cultural relic preservation health prediction information. 8.The big data-based intangible cultural heritage artifact health prediction method of claim 7, wherein: The operation steps of S32 are as follows: S321. Establish a matrix of material environment characteristics information corresponding to different types of potential risks to the preservation of intangible cultural heritage. The include ;in Indicates the first Information on the material environment characteristics corresponding to different types of potential risks to the preservation of intangible cultural heritage; S322, Combine the material identification information of the intangible cultural heritage, the natural environment type analysis information of the intangible cultural heritage, and the biological environment type identification information of the intangible cultural heritage with the... Perform the above The material composition and preservation environment information of intangible cultural heritage artifacts are matched to search for the artifacts that best match the material composition identification information, the natural environment type analysis information, and the biological environment type identification information of the intangible cultural heritage artifacts. The system generates information on the potential risks to the preservation of intangible cultural heritage and produces health prediction information for the preservation of intangible cultural heritage.

9. A big data-based intangible cultural heritage artifact health prediction system for implementing the big data-based intangible cultural heritage artifact health prediction method of any one of claims 1-8, characterized in that: The system comprises a non-heritage cultural relic material characteristic identification module, a non-heritage cultural relic preservation environment evaluation module, and a non-heritage cultural relic preservation health prediction module.

Citation Information

Patent Citations

  • Scenic Spot-based Monitoring of Cultural Relics Protection Status and Preventive Protection Method

    CN119067638B