Study On Material Data Discovery And Sharing Mechanism Based On Blockchain

Materials are essential components used in the construction of equipment and engineering projects,playing a crucial role in the manufacturing industry at various stages.The quality and performance of these materials directly impact the overall level of the equipment and engineering.Advances in digital technology have allowed for the analysis,mining,and utilization of large amounts of material data in the industrial sector through tools like big data and artificial intelligence.This has significantly enhanced the efficiency of material research and development while also cutting costs.Sharing and circulating material data is beneficial for driving innovation and progress in the industrial system as a whole.However,at present,material data is spread across various platforms and databases owned by different entities,and is constrained by a centralized structure with limited accessibility,leading to challenges in acquiring data and the creation of multiple data silos.In order to achieve cross platform sharing of material data,a blockchain based mechanism for material data discovery and sharing was studied.The details are as follows:(1)A new approach to discovering and sharing material data is proposed,utilizing blockchain technology to address challenges such as data isolation and privacy breaches in conventional centralized systems.This model connects different material databases via blockchain,eliminating barriers to decentralizing material data from multiple sources.It is a collaborative scheme of clouds-blockchain-clients fusion,combining the strengths of blockchain and cloud computing platforms,enabling efficient storage,rights confirmation,discovery,and sharing of material data while ensuring data security and privacy.(2)A material feature data model based on the tetrahedral elements of composition-performance-structure-process is proposed to address the issues of multimodality,isomerization,complex sources,and dispersed storage of material data.The goal is to improve product identification with a minimal dataset and lessen the computational and storage load of blockchain.On the basis of material feature data,a material data identification coding and parsing method based on the cloudsblockchain-clients collaborative framework has been established to achieve unified identification and addressing of multi-source heterogeneous materials data.And taking steel materials,welding consumables,superalloys,and rare earth permanent magnet alloys as examples,the materials feature data structure was studied.(3)To tackle the challenges of discovering material data and safeguarding privacy,a new algorithm is suggested.This algorithm combines pattern recognition and privacy protection technology to analyze material feature data.It uses this data to calculate material similarity and employs function encryption to perform these calculations and sorting while keeping the data completely encrypted.This allows for the discovery of similar material data.Comparative experiments demonstrate that the delay time for calculating encrypted data is acceptable when compared to plaintext.(4)Based on the proposed material data discovery and sharing method,research was conducted from the perspective of method implementation,and a prototype system was developed.The research focused on the implementation of the method and the development of a "Node-Industry chain-Material data network" consortium chain network model.This model aims to construct different industry chains using various materials and to achieve different applications through the use of different smart contracts.The shared network is supported by regulatory mechanisms,super node mechanisms,and consensus mechanisms,which collectively contribute to the establishment of a reliable material data sharing network.Additionally,the study proposed a hierarchical control method for data permissions within blockchain-based material data sharing methods,allowing for the implementation of different permission policies based on the privacy requirements of the material data.Furthermore,the study explored specific methods for material data certification and proposed the construction of "data chain" and "behavior chain" to effectively verify material data and interaction events through blockchain certification.A material big data value evaluation method was also established to drive data sharing.The study analyzed the construction method and application effects of numerous application cases.Data discovery,matching,and sharing application demonstrations have been achieved between 5 typical nodes in the steel material industry chain and 35 welding material product systems.Finally,we have standardized the method to reduce the complexity of the data discovery and sharing system application,thereby promoting the establishment of a material data sharing ecosystem.The research mentioned above establishes a dependable data flow system for "data-privacy-sharing" among various organizations in the materials industry.It offers a solution for sharing data within the industry,facilitating the exchange of material data between different entities.Additionally,it supports the development of trust and mutually beneficial cooperation among entities in the materials industry.