Digital object full-life-cycle management method based on block chain

Abstract

The invention discloses a digital object full-life-cycle management method based on a block chain. The method comprises the following steps: step 1, constructing a digital object full-life-cycle management architecture; 2, based on the digital object full-life-cycle management architecture, designing a digital object creation process, a fluctuation process, a destruction process and an analysis and data acquisition process; and step 3, in the creation process, the fluctuation process, the destruction process and the analysis and data acquisition process, performing transaction verification onthe digital object managed in the full life cycle in the blockchain node consensus accounting process. According to the technical scheme, comprehensive and reliable recording of data generated in theproduction and circulation stages of articles is achieved, the data credibility is enhanced, and the data management value is improved; and the large-volume data intercommunication capability is enhanced, and complete life cycle data is obtained in a unified manner on the premise of not influencing the data ownership.

Description

technical field [0001] The invention belongs to the technical field of digital management, and in particular relates to a blockchain-based full lifecycle management method for digital objects. Background technique [0002] As a general global digital resource identification encoding and analysis service system, the Handle system can provide basic services such as permanent identification, dynamic link and security management for digital objects in the network. The Handle system has a distributed two-tier service structure, such as figure 1 shown. The upper layer is the Global Handle Registry (Global Handle Rigestry, GHR), and the lower layer is the Local Handle Service (Local Handle Service, LHS); both GHR and LHS are composed of multiple sites (Site), and data synchronization between different Sites is realized; the server ( Server) is the physical entity / carrier of the Site, and one or more Servers work together to complete the functions of the Site. For the identificat...

AI Technical Summary

Problems solved by technology

[0007] 1. Incomplete life cycle data: Existing solutions only manage the life cycle of items from the perspective of product manufacturing, and do not start from the items themselves to manage the information generated in the circulation stage, such as resale transactions, user records, identification data, etc. Any historical data, which means more value is not mined

[0008] 2. Poor reliability and unfalsifiable: The unified control of data in the hands of one organization means that the organization has control over all data throughout the life cycle. These data are untrustworthy for other organizations, even if they are tampered with. If it is verified, these data will lose the value of management

[0009] 3. Data ownership cannot be guaranteed: As long as the data is not stored locally, the data owner cannot protect the data according to his own wishes, such as access control, etc.

[0010] 4. Huge data volume and lack of data interoperability means: From the perspective of the item itself, life cycle data may be distributed in the databases of various organizations and individuals. The volume is huge and the geographical location is unknown. Traditional single-point collection, It is unrealistic to store and maintain these data, and the use of distributed management lacks the means of heterogeneous data intercommunication

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