Ceramic data-based element circulation and value release method

By collecting and labeling the full-chain data of ceramic products, creating digital passports and value analysis models, and building a data sharing platform, the problem of data isolation in the ceramic manufacturing industry is solved, and the efficient circulation and value release of data is achieved.

CN120218921APending Publication Date: 2025-06-27DIGITAL JIANGXI TECH CO LTD
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Patent Information

Application Number
CN202510288283.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-12
Publication Date
2025-06-27

AI Technical Summary

Technical Problem

The isolation and difficulty in integrating data resources in the ceramic manufacturing industry, and the lack of effective data management, analysis and sharing mechanisms limit the market potential of ceramic products and the realization of industry innovation capabilities.

Method used

By collecting full-chain data of ceramic products, putting multi-dimensional labels, creating a digital passport, and building a ceramic data value analysis model and data sharing platform, supporting multiple transaction modes.

Benefits of technology

The systematized management and standardization of data is realized, the potential value of data is evaluated, the security and copyright protection of data are ensured, and the efficient circulation and value release of data resources are promoted.

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Abstract

The invention relates to the technical field of ceramic manufacturing information processing, in particular to an element circulation and value release method based on ceramic data, which protects and inherits ceramic cultural heritage and improves the cultural influence and market recognition degree of ceramic products. The method comprises the following steps: collecting full-chain data of a ceramic product, and pasting a multi-dimensional label on each piece of data; creating a digital passport for each group of full-chain data, and integrating the collected full-chain data of all ceramic products to obtain a full-chain data set; inputting the full-chain data set into a pre-constructed ceramic data value analysis model to obtain a data value evaluation index; integrating a data encryption technology and a security protocol, and establishing a ceramic data sharing platform; the ceramic data sharing platform supports transaction modes of auction, subscription and one-time buying; and inputting the full-chain data set and the data value evaluation index into a ceramic data sharing platform for storage.
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Description

Technical Field

[0001] The present invention relates to the technical field of ceramic manufacturing information processing, and particularly to a method for the circulation of elements and the release of value based on ceramic data. Background Art

[0002] In traditional ceramic manufacturing, rich information resources are contained in every link from raw material selection, process design, production and processing to marketing. However, these valuable data are often limited within the enterprise, lacking effective sorting, analysis and sharing mechanisms, resulting in the isolation and waste of data resources. In addition, the cultural value, artistic value and technological innovation of ceramic products often fail to be fully evaluated and disseminated in the form of data, restricting the exertion of their market potential and the innovation ability of the industry.

[0003] With the rapid development of modern information technologies such as big data, cloud computing, artificial intelligence and blockchain, data has become the core element driving industrial upgrading and economic transformation. In the cultural industry and the handicraft field, how to efficiently mine, integrate and activate data assets to realize their potential value in aspects such as protecting cultural heritage, promoting creative design, optimizing production processes and broadening market channels has become an urgent problem to be solved.

[0004] Currently, although some ceramic enterprises have started to attempt digital transformation, they generally face challenges such as fragmented data management, lack of a value evaluation system, and imperfect circulation mechanisms. Especially in terms of data security, copyright protection and value realization, a mature methodology and practice system has not yet been formed. Therefore, it is particularly important to develop an innovative method that can comprehensively cover the entire life cycle of ceramic products and realize the efficient circulation of data elements and the precise release of value. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides a method for the circulation of elements and the release of value based on ceramic data, which can protect and inherit ceramic cultural heritage and enhance the cultural influence and market recognition of ceramic products.

[0006] In a first aspect, the present invention provides a method for the circulation of elements and the release of value based on ceramic data, the method comprising:

[0007] Collecting the full-chain data of ceramic products and attaching multi-dimensional tags to each piece of data;

[0008] Creating a digital passport for each group of full-chain data, integrating all the full-chain data of the collected ceramic products to obtain a full-chain data set;

[0009] Inputting the full-chain data set into a pre-constructed ceramic data value analysis model to obtain a data value evaluation index;

[0010] Integrate data encryption technology and security protocols to establish a ceramic data sharing platform; the ceramic data sharing platform supports trading modes such as auction, subscription, and one-time buyout;

[0011] Input the full-chain data set and data value evaluation index into the ceramic data sharing platform for storage.

[0012] Furthermore, the full-chain data includes raw material quality, production process parameters, energy consumption data, product quality inspection results, and market feedback.

[0013] Furthermore, the method for creating digital passports for full-chain data includes:

[0014] Perform standardization processing on the collected full-chain data;

[0015] Generate a hash value for each piece of full-chain data;

[0016] Apply blockchain technology to issue digital certificates for data fingerprints and record the data fingerprints and metadata on the ledger;

[0017] Encapsulate the data description information, data fingerprints, digital certificates, and timestamps into a data packet, namely the "digital passport".

[0018] Furthermore, the method for constructing the ceramic data value analysis model includes:

[0019] Collect historical data and perform cleaning and integration on the historical data; including handling missing values, outliers, unifying data formats, and integrating data from different sources;

[0020] Select a machine learning model as the basic architecture of the ceramic data value analysis model;

[0021] Divide the data set into a training set, a validation set, and a test set;

[0022] Train the selected model on the training set; evaluate the stability and generalization ability of the model through cross-validation on the validation set; use the test set to evaluate the actual prediction ability of the model;

[0023] Integrate the trained model into the system.

[0024] Furthermore, the method for constructing the ceramic data sharing platform includes:

[0025] Apply blockchain technology to construct the underlying architecture;

[0026] Divide the platform into a data storage module, a trading module, a user authentication module, and a data analysis module;

[0027] Use encryption algorithms to encrypt the data during storage and transmission;

[0028] Implement security protocols to ensure data transmission security and prevent data from being stolen or tampered with during transmission;

[0029] Set up an authentication mechanism to ensure the security of user login and operation, and assign different data access permissions based on user roles;

[0030] Set up an auction mechanism that allows data owners to set starting price, reserve price, and auction time parameters;

[0031] Develop a subscription model where users subscribe to regular updates of the full chain dataset based on their needs;

[0032] Provides a one-time data purchase option, after which users gain permanent rights to use the data.

[0033] Furthermore, the method for the ceramic data sharing platform to circulate elements and release value of ceramic data includes:

[0034] Package the full-chain data set and data value evaluation index and upload them to the ceramic data sharing platform;

[0035] Use multi-dimensional labels and data value evaluation indexes to classify, mark and index data;

[0036] Create detailed information pages for each data set, including raw material quality reports, production process parameters, energy consumption profiles, quality inspection reports, market feedback summaries, and data value evaluation indexes;

[0037] Assign a digital copyright certificate to each dataset;

[0038] Set up a search engine that supports keyword, tag, and value index searches.

[0039] Furthermore, the machine learning model includes support vector machine, decision tree, random forest, neural network and gradient boosting machine.

[0040] On the other hand, the present application also provides a system for factor circulation and value release based on ceramic data, the system comprising:

[0041] The full-chain data collection module is used to collect the full-chain data of ceramic products and attach multi-dimensional labels to each piece of data; the full-chain data includes raw material quality, production process parameters, energy consumption data, product quality test results and market feedback;

[0042] The data annotation and integration module is used to create a digital passport for each set of full-chain data, integrate the collected full-chain data of all ceramic products, and obtain a full-chain data set;

[0043] A ceramic data value analysis module, which is used to input the full-chain data set into a pre-constructed ceramic data value analysis model to obtain a data value evaluation index;

[0044] A data encryption module, which is used to integrate data encryption technology and security protocols to establish a ceramic data sharing platform; the ceramic data sharing platform supports trading modes such as auction, subscription, and one-time buyout;

[0045] A ceramic data sharing module, which is used to input the full-chain data set and the data value evaluation index into the ceramic data sharing platform for storage.

[0046] In a third aspect, the present application provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are connected through the bus. When the computer program is executed by the processor, the steps in any one of the above methods are implemented.

[0047] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in any one of the above methods are implemented.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows: By comprehensively collecting data throughout the ceramic life cycle and attaching multi-dimensional tags to each piece of data, the method first solves the problems of data dispersion and difficulty in integration; it not only makes data management more systematic but also lays a standardized foundation for subsequent data analysis and application;

[0049] By constructing a ceramic data value analysis model, it is possible to deeply analyze the integrated full-chain data set and evaluate the potential value of the data; it helps enterprises better understand which data are core assets, thereby guiding the optimization of resource allocation and the direction of innovation;

[0050] The ceramic data sharing platform established by integrating data encryption technology and security protocols ensures the security of data during the process of circulation and transaction, effectively addressing the risk of data leakage; at the same time, creating digital passports for data clarifies the copyright ownership, strengthens the protection of intellectual property rights, and provides guarantee for the legal transaction and value realization of data assets;

[0051] The ceramic data sharing platform supports multiple trading modes, which greatly enriches the flexibility of data trading, reduces trading costs, and accelerates the effective circulation and value release of data resources; the improvement of the market mechanism promotes knowledge exchange and value sharing within and outside the ceramic industry;

[0052] Through the efficient integration, value evaluation and circulation of data, this method not only improves the internal operation efficiency of the ceramic manufacturing industry, but also provides data support for creative design, production process optimization, market strategy adjustment, etc., stimulates the innovation vitality of the industry, helps the ceramic industry to transform towards digitalization and intelligentization, expands the market boundaries, and enhances the overall competitiveness;

[0053] By digitally evaluating and disseminating the cultural and artistic values of ceramic products, this method helps to protect and inherit ceramic cultural heritage, enhances the cultural influence and market recognition of ceramic products, and opens up new paths for the international promotion of ceramic art and handicrafts. Brief Description of the Drawings

[0054] Figure 1 is a flowchart of the present invention;

[0055] Figure 2 is a structural diagram of a system for the circulation and value release of ceramic data elements. Detailed Embodiments

[0056] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, a device, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), and a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, which contains computer program code.

[0057] The above-mentioned computer-readable storage media can adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, compact disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, the computer-readable storage media can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, device, or component.

[0058] In the technical solution of the present application, the acquisition, storage, use, processing, etc. of data all comply with the relevant provisions of national laws.

[0059] The present application describes the provided method, device, and electronic device through flowcharts and / or block diagrams.

[0060] It should be understood that each block of the flowchart and / or block diagram, and the combinations of blocks in the flowchart and / or block diagram, can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, thereby producing a machine. These computer-readable program instructions, when executed by a computer or other programmable data processing device, produce a device that implements the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0061] These computer-readable program instructions can also be stored in a computer-readable storage medium that can cause a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product that includes the instructions for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0062] The computer-readable program instructions can also be loaded onto a computer, other programmable data processing device, or other device, so that a series of operation steps are executed on the computer, other programmable data processing device, or other device, to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing device to provide a process for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0063] The present application will be described below in conjunction with the accompanying drawings in the present application.

[0064] Embodiment 1: As Figure 1 shown, a method for the circulation and value release of elements based on ceramic data of the present invention specifically includes the following steps:

[0065] S1. Collect the full-chain data of ceramic products and attach multi-dimensional tags to each piece of data; the full-chain data includes raw material quality, production process parameters, energy consumption data, product quality inspection results, and market feedback;

[0066] Raw material quality data: Obtain the detailed quality reports of raw materials from suppliers, including component analysis, physical properties, and traceability information;

[0067] Attach tags to each batch of raw material data to identify its source, production date, quality certification, and key parameters related to the product, such as combustibility and sintering temperature adaptability;

[0068] Production process parameter data: Collect key parameters during the production process, such as firing temperature, holding time, and atmosphere control parameters;

[0069] Add tags to the data of each production batch to record the changes and adjustments of each parameter during the production process, and how it affects the quality and characteristics of the final product;

[0070] Energy consumption data: Monitor the energy consumption during the kiln firing process, including electricity, fuel consumption, and possible energy efficiency improvement measures;

[0071] Record the energy consumption data for each production cycle, and combine it with the production parameter data to evaluate the impact of energy utilization efficiency on product quality and cost;

[0072] Product quality inspection results:

[0073] Obtain the product quality inspection reports from the quality inspection department, including relevant data such as appearance defects, dimensional accuracy, strength tests, and chemical stability;

[0074] Add labels to the inspection results of each product batch to identify product compliance and non - compliant items, helping to identify potential problems in the production process and improve the process;

[0075] Market feedback data: Collect feedback from the sales department and the marketing department, including information such as changes in market demand, competitor analysis, customer feedback, and market share;

[0076] Add labels to each market feedback data set to identify the feedback source, timestamp, and specific content, helping the enterprise to better understand market dynamics and the need for adjustment of product market positioning;

[0077] Through the implementation of the above technical solutions, in the S1 stage, not only can the whole - chain data of ceramic manufacturing be systematically collected, but also through the refined management of multi - dimensional labels, a solid foundation is laid for subsequent data integration, value evaluation, and circulation, effectively solving the problems of isolated and wasted data resources.

[0078] S2. Create a digital passport for each set of whole - chain data, integrate all the whole - chain data of the collected ceramic products to obtain a whole - chain data set;

[0079] Standardize the collected multi - dimensional whole - chain data to ensure that data from different sources and formats can be unified. Use the standards of linked data to structure the data to make it compatible with the semantic web, facilitating machine understanding and cross - system interaction;

[0080] Generate a unique hash value for each piece of related data; this process is executed using an encryption algorithm to ensure that any minor change in the data will result in a different hash value, thus providing proof of data integrity;

[0081] Use blockchain technology to issue digital certificates for the data fingerprints, record the data fingerprints and necessary metadata on a distributed and immutable ledger; at the same time, each record will be accompanied by a timestamp to accurately record the time of data registration, enhancing the traceability and transparency of the data;

[0082] Encapsulate the basic description information, data fingerprints, digital certificates, timestamps, etc. of the data into a data packet, namely the so-called "digital passport"; this passport contains the identity proof, source, generation time and other necessary attributes of the data, providing a basis for data verification and traceability;

[0083] Dataset integration:

[0084] Adopt data lake or data warehouse technology to store and integrate the full-chain data from different links; the data lake supports the storage of raw data, while the data warehouse is more suitable for the integration and analysis of structured data;

[0085] During the integration process, apply extraction, transformation and loading tools to process the data, clean outliers, solve data inconsistency problems, and standardize the data format according to a predefined model to ensure the quality and consistency of the dataset;

[0086] Through data correlation analysis, identify the connections between different datasets, establish an efficient query index for fast retrieval and analysis;

[0087] In stage S2, by creating the digital passport of the data and integrating the full-chain datasets, not only the credibility improvement and identity authentication of the data are realized, but also a unified data resource pool is constructed, laying a solid foundation for subsequent data value analysis, sharing and trading.

[0088] S3. Input the full-chain datasets into a pre-constructed ceramic data value analysis model to obtain the data value evaluation index;

[0089] In stage S3, input the full-chain datasets into a pre-constructed ceramic data value analysis model to obtain the data value evaluation index; this step involves multiple technical aspects such as data analysis, modeling and value evaluation;

[0090] Before feeding the dataset into the model, a series of preprocessing work needs to be carried out to ensure the quality of the data and the effectiveness of the model; including data cleaning to remove or correct incorrect, duplicate and inconsistent data; data normalization to ensure that data from different sources and scales can be compared under the same standard; feature engineering to extract useful features from the raw data, including encoding the quality indicators of raw materials, extracting key parameters of the production process, efficiency indicators of energy consumption, pass rates of product quality inspections, and sentiment analysis of market feedback, etc.;

[0091] The construction method of the ceramic data value analysis model includes:

[0092] Collect data from the enterprise's internal ERP, CRM systems, production records, market research, sales data, customer feedback, and public industry reports;

[0093] Data cleaning and integration: Handling missing values and outliers, unifying data formats, integrating data from different sources, and preparing a high-quality dataset for model construction;

[0094] Select machine learning models as the infrastructure for the ceramic data value analysis model, where the machine learning models include random forests and neural networks;

[0095] Partition the dataset into a training set, a validation set, and a test set;

[0096] Train the selected model on the training set and adjust the parameters to optimize the performance;

[0097] Evaluate the stability and generalization ability of the model through cross-validation, and adjust the model parameters according to the validation results until satisfactory performance metrics are achieved;

[0098] Use the test set to evaluate the actual prediction ability of the model, and measure the prediction accuracy using metrics such as R2 score and MAPE (Mean Absolute Percentage Error);

[0099] Compare with the actual situation or expert evaluation results to verify the effectiveness of the model, and iteratively optimize the model according to the feedback;

[0100] Intuitively display the value evaluation results of ceramic data in the form of charts, dashboards, etc., for easy understanding by decision-makers;

[0101] Integrate the model into the enterprise decision support system to achieve real-time or periodic data value evaluation;

[0102] In the S3 stage, through the construction and application of the data value analysis model, the scientific quantification of the data value of the entire ceramic chain is realized, providing data-driven support for the effective utilization of data and strategic decision-making.

[0103] In S4, integrate data encryption technology and security protocols to establish a ceramic data sharing platform; the ceramic data sharing platform supports trading modes such as auctions, subscriptions, and one-time buyouts;

[0104] The construction method of the ceramic data sharing platform includes:

[0105] Adopt blockchain technology to build the underlying architecture, ensure the decentralized storage and management of data, enhance data security and transparency; each trading node has a data copy, improving the anti-attack ability and data reliability of the system;

[0106] Divide the platform into a data storage module, a trading module, a user authentication module, a data analysis module, etc., for easy maintenance and upgrade, and at the same time support the flexible expansion of functions;

[0107] Use high-strength encryption algorithms such as AES-256 and RSA to encrypt data in storage and transmission, ensuring that data is effectively protected both at rest and in motion;

[0108] Implement HTTPS protocol to ensure data transmission security, and use TLS / SSL encryption technology to prevent data from being stolen or tampered with during transmission;

[0109] Introduce authentication mechanisms such as OAuth 2.0 and JWT to ensure the security of user login and operation, and assign different data access permissions based on user roles;

[0110] Design a smart contract-driven auction mechanism that allows data owners to set parameters such as starting price, reserve price, auction time limit, etc., and buyers to bid for data using cryptocurrency;

[0111] Develop a subscription model where users can subscribe to regular updates of specific types or full-chain data sets based on their needs, and the system will automatically deduct fees on schedule;

[0112] Provide a one-time data purchase option. After purchase, users will obtain permanent use rights of the data. Transaction records will be permanently stored on the blockchain to ensure transaction transparency and traceability.

[0113] Use InterPlanetary File System or other distributed storage technologies to ensure efficient and low-cost data storage while supporting large-scale concurrent access;

[0114] Develop an efficient indexing mechanism that supports multi-dimensional tag search, allowing users to quickly locate required data based on tags such as raw material type, production date, and market feedback;

[0115] Write smart contract codes to automatically execute the terms in the data transaction process, including payment confirmation, data delivery, copyright transfer, etc., to reduce transaction costs and improve transaction efficiency;

[0116] Design smart contracts to include dispute resolution clauses so that when disputes arise between the two parties, they can be quickly resolved through the preset arbitration mechanism;

[0117] Develop a simple and intuitive user interface to ensure that data uploading, searching, purchasing and other operations are simple and fast;

[0118] Ensure seamless connection of the platform across multiple terminals such as desktop and mobile terminals to enhance user experience;

[0119] Through the above steps, the constructed ceramic data sharing platform can not only ensure the security and privacy of data, but also promote the efficient circulation and value realization of data, providing a solid foundation for the digital transformation of the ceramic industry.

[0120] S5. Input the full-chain dataset and the data value evaluation index into the ceramic data sharing platform for storage;

[0121] The methods for the ceramic data sharing platform to conduct element circulation and value release of ceramic data include:

[0122] Package the full-chain dataset and the data value evaluation index obtained through step S3 and upload them to the ceramic data sharing platform; before uploading, the data needs to be encrypted to ensure that it will not be stolen or tampered with during the transmission process;

[0123] After uploading to the platform, the system automatically classifies, tags, and indexes the data; using multi-dimensional tags and the data value evaluation index makes the data easier to search and locate, providing convenience for users to quickly find the required data;

[0124] Create a detailed information page for each dataset, showing contents including but not limited to raw material quality reports, production process parameters, energy consumption profiles, quality inspection reports, market feedback summaries, and data value evaluation indexes, etc., to facilitate potential buyers to comprehensively understand the data value;

[0125] Develop an intelligent search engine that supports searches in multiple dimensions such as keywords, tags, and value indexes; at the same time, combined with user behavior analysis, intelligently recommend relevant data to improve data matching efficiency and user satisfaction;

[0126] According to the rarity, value size, and market demand of the data, the platform supports three trading modes: auction, subscription, and one-time buyout; automatically execute the trading terms through smart contract technology to ensure the transparency, security, and efficiency of the trading process;

[0127] The platform uses advanced encryption technology to encrypt the stored data to ensure that even if the data is illegally accessed, its content cannot be interpreted;

[0128] Assign a unique digital copyright certificate to each dataset, and use blockchain technology to record the trading history to ensure the clear ownership of the data copyright and effectively prevent piracy and illegal copying;

[0129] Establish a supervision mechanism to monitor the trading process, prevent behaviors such as malicious bidding and false transactions, and maintain the healthy ecosystem of the platform;

[0130] Provide professional customer service to answer users' questions and handle trading disputes; at the same time, continuous technical support ensures the stable operation of the platform and timely response to technical issues;

[0131] Encourage data providers to update the dataset regularly to keep the data timely and accurate, and the platform provides a convenient data update channel;

[0132] Introduce user feedback and third-party evaluations, regularly check data quality, and ensure the continuous value of the dataset.

[0133] Through the above steps, the ceramic data sharing platform not only realizes the secure storage and efficient circulation of data, but also promotes the precise release of data value through diversified trading models, providing strong support for knowledge sharing, technological innovation, and market expansion within the ceramic industry.

[0134] Example 2: As Figure 2 shown, a system for factor circulation and value release based on ceramic data of the present invention specifically includes the following modules;

[0135] Full-chain data acquisition module, used to collect full-chain data of ceramic products and attach multi-dimensional labels to each piece of data; the full-chain data includes raw material quality, production process parameters, energy consumption data, product quality inspection results, and market feedback;

[0136] Data annotation and integration module, used to create digital passports for each group of full-chain data, integrate all the full-chain data of collected ceramic products, and obtain a full-chain dataset;

[0137] Ceramic data value analysis module, used to input the full-chain dataset into a pre-constructed ceramic data value analysis model to obtain a data value evaluation index;

[0138] Data encryption module, used to integrate data encryption technology and security protocols to establish a ceramic data sharing platform; the ceramic data sharing platform supports trading models such as auctions, subscriptions, and one-time buyouts;

[0139] Ceramic data sharing module, used to input the full-chain dataset and data value evaluation index into the ceramic data sharing platform for storage.

[0140] Through the full-chain data acquisition module, the system can span all links from raw material procurement, production, inspection to sales, collect and integrate multi-dimensional data, and break the data silo phenomenon; the data annotation and integration module further makes the data more structured and easy to analyze in the form of digital passports, laying a solid foundation for deeply mining data value;

[0141] The ceramic data value analysis module uses advanced data analysis models, which can not only quantify the economic value of data, but also evaluate its social value in aspects such as cultural inheritance and artistic innovation, providing a scientific evaluation system for the diversified value of ceramic products, and helping to enhance product market competitiveness and brand influence;

[0142] The advanced encryption technology and security protocols integrated in the data encryption module ensure the secure transmission and storage of data on the sharing platform, reducing the risk of data leakage; the digital passport combined with blockchain technology authenticates data assets, effectively solving the copyright protection problem and enhancing the confidence of participants;

[0143] The ceramic data sharing module supports multiple trading modes, including auctions, subscriptions, and one-time buyouts, which greatly enriches the trading flexibility of the data market and accelerates the circulation and monetization ability of data resources; enterprises can directly obtain economic returns through data trading, while promoting knowledge sharing and technological innovation across the industry;

[0144] Through an efficient data management and value release mechanism, the system not only optimizes the internal management of ceramic enterprises but also provides new ways for cooperation and innovation within and outside the industry; it helps the ceramic industry transform towards a more intelligent and refined direction, opening up new paths for the protection of cultural heritage, the stimulation of creative design, the improvement of production efficiency, and the expansion of market boundaries;

[0145] In summary, by efficiently mining and utilizing data resources in ceramic manufacturing, the system not only improves production efficiency and product quality but also effectively promotes the dissemination of cultural value and the release of market potential; at the same time, the security of the system and the design of diverse trading modes provide a digital solution for the sustainable development of enterprises.

[0146] All the various change methods and specific embodiments of the method for element circulation and value release based on ceramic data in the foregoing Embodiment 1 are equally applicable to the system for element circulation and value release based on ceramic data in this embodiment. Through the foregoing detailed description of the method for element circulation and value release based on ceramic data, those skilled in the art can clearly know the implementation method of the system for element circulation and value release based on ceramic data in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated herein.

[0147] In addition, this application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected through the bus. When the computer program is executed by the processor, it realizes each process of the method embodiment for controlling the output data and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0148] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can still be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A method for factor circulation and value release based on ceramic data, characterized in that: The method comprises: Collect the entire chain data of ceramic products and attach multi-dimensional labels to each piece of data; Create a digital passport for each set of full-chain data, integrate the collected full-chain data of all ceramic products, and obtain a full-chain data set; Input the full-chain data set into the pre-built ceramic data value analysis model to obtain the data value evaluation index; Integrate data encryption technology and security protocols to establish a ceramic data sharing platform; the ceramic data sharing platform supports auction, subscription and one-time buyout transaction models; The full-chain data set and data value evaluation index are input into the ceramic data sharing platform for storage.

2. A method for element circulation and value release based on ceramic data as claimed in claim 1, characterized in that: The full-chain data includes raw material quality, production process parameters, energy consumption data, product quality test results and market feedback.

3. A method for element circulation and value release based on ceramic data as claimed in claim 1, characterized in that: Methods for creating a digital passport for the entire chain of data include: Standardize the collected data from the entire chain; Generate a hash value for each full chain data; Apply blockchain technology to issue digital certificates for data fingerprints, and record data fingerprints and metadata in the ledger; The data description information, data fingerprint, digital certificate and timestamp are encapsulated into a data package, namely the "digital passport".

4. The method for element circulation and value release based on ceramic data as claimed in claim 1, characterized in that: The method for constructing the ceramic data value analysis model includes: Collect historical data, clean and integrate historical data; including processing missing values, outliers, unifying data formats, and integrating data from different sources; Select machine learning model as the infrastructure of ceramic data value analysis model; Divide the dataset into training, validation and test sets; Train the selected model on the training set; evaluate the stability and generalization ability of the model through cross-validation on the validation set; and use the test set to evaluate the actual prediction ability of the model; Integrate the trained model into the system.

5. The method for element circulation and value release based on ceramic data as claimed in claim 1, characterized in that: The method for constructing the ceramic data sharing platform includes: Apply blockchain technology to build the underlying architecture; The platform is divided into data storage module, transaction module, user authentication module and data analysis module; Encrypt data in storage and in transit using encryption algorithms; Implement security protocols to ensure data transmission security and prevent data from being stolen or tampered with during transmission; Set up an authentication mechanism to ensure the security of user login and operation, and assign different data access permissions based on user roles; Set up an auction mechanism that allows data owners to set starting price, reserve price, and auction time parameters; Develop a subscription model where users subscribe to regular updates of the full chain dataset based on their needs; Provides a one-time data purchase option, after which users gain permanent rights to use the data.

6. The method for element circulation and value release based on ceramic data as claimed in claim 1, characterized in that: The method for the ceramic data sharing platform to circulate elements and release value of ceramic data includes: Package the full-chain data set and data value evaluation index and upload them to the ceramic data sharing platform; Use multi-dimensional labels and data value evaluation indexes to classify, mark and index data; Create detailed information pages for each data set, including raw material quality reports, production process parameters, energy consumption profiles, quality inspection reports, market feedback summaries, and data value evaluation indexes; Assign a digital copyright certificate to each dataset; Set up a search engine that supports keyword, tag, and value index searches.

7. A method for element circulation and value release based on ceramic data as claimed in claim 4, characterized in that: The machine learning models include support vector machines, decision trees, random forests, neural networks, and gradient boosting machines.

8. A system for the circulation and value release of ceramic data, characterized in that: The system comprises: The full-chain data collection module is used to collect the full-chain data of ceramic products and attach multi-dimensional labels to each piece of data; the full-chain data includes raw material quality, production process parameters, energy consumption data, product quality test results and market feedback; The data annotation and integration module is used to create a digital passport for each set of full-chain data, integrate the collected full-chain data of all ceramic products, and obtain a full-chain data set; The ceramic data value analysis module is used to input the full-chain data set into the pre-built ceramic data value analysis model to obtain the data value evaluation index; A data encryption module is used to integrate data encryption technology and security protocols to establish a ceramic data sharing platform; the ceramic data sharing platform supports auction, subscription and one-time buyout transaction modes; The ceramic data sharing module is used to input the full-chain data set and data value evaluation index into the ceramic data sharing platform for storage.

9. An electronic device for factor circulation and value release method based on ceramic data, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, characterized in that: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.