College of Artificial Intelligence, Chongqing University of Arts and Sciences, Yongchuan 402160, Chongqing, China.
Comput Intell Neurosci. 2022 Aug 27;2022:3035231. doi: 10.1155/2022/3035231. eCollection 2022.
As a decentralized, distributed system between functional and benefit management functions, blockchain is effective for financial transaction data security, data tracking and antitampering, product tracking, and access control. In this context, we have conducted experimental research on the blockchain product traceability trusted data analysis consensus mechanism and reached the following conclusions. (1) There are decentralization, irreversible tampering, traceability, and openness through the blockchain's own information and other functions so that a series of processes from raw material production, transportation, and logistics sales are well documented. (2) Under the same network environment, if the number of matches in the system increases, the average matching time consumed by the original engine is greater than the average matching time on the optimized engine. For example, taking 10% of Byzantine nodes in the system, the number of consensus increases, the average ITPBFT consensus time is about 5.74 s, and the average consensus time of the PBFT consensus mechanism is about 6.13 s. As a decentralized distributed data management system through nodes, blockchain is widely used in financial transactions, copyright protection, and product areas such as tracking and access control. In this regard, we conducted an experimental study of the consensus mechanism to analyze reliable data on the traceability of blockchain products and came to the conclusion of the experiment.
作为一种功能和效益管理功能之间的去中心化、分布式系统，区块链在金融交易数据安全、数据跟踪和防篡改、产品跟踪和访问控制方面非常有效。在这种情况下，我们对区块链产品可追溯性可信数据分析共识机制进行了实验研究，并得出以下结论。（1）区块链通过自身信息和其他功能具有去中心化、不可逆转篡改、可追溯性和开放性，使得从原材料生产、运输到物流销售的一系列过程都有很好的记录。（2）在相同的网络环境下，如果系统中的匹配数量增加，原始引擎消耗的平均匹配时间大于优化引擎的平均匹配时间。例如，在系统中采用 10%的拜占庭节点，共识数量增加，平均 ITPBFT 共识时间约为 5.74s，PBFT 共识机制的平均共识时间约为 6.13s。作为一种通过节点实现的去中心化分布式数据管理系统，区块链广泛应用于金融交易、版权保护以及产品跟踪和访问控制等领域。在这方面，我们对共识机制进行了实验研究，以分析区块链产品可追溯性的可靠数据，并得出实验结论。
