Abstract
In order to improve the secure storage and fault-tolerant ability of intelligent agricultural information remote data storage system, a fault-tolerant method of intelligent agricultural information remote data storage system based on block chain is proposed. Combined with the statistical feature analysis method, the fault-tolerant characteristics of the intelligent agricultural information remote data storage system are analyzed, the correlation characteristics of the intelligent agricultural information remote data are extracted, the block chain control model of the intelligent agricultural information remote data is established, and the block storage and feature matching design of the intelligent agricultural information remote data is carried out by using the autocorrelation feature detection method. The block chain storage structure of intelligent agricultural information remote data security storage is established, combined with the optimized block chain control scheme, the optimal storage structure of intelligent agricultural information remote data is reorganized, the structure reorganization and feature reconstruction of intelligent agricultural information remote data are realized by using fuzzy clustering and vector quantification coding scheme, and the fault tolerant strategy optimization of intelligent agricultural information remote data storage system is realized. The simulation results show that the design of intelligent agricultural information remote data storage system based on this method has good fault tolerance and strong coding and decoding ability, which improves the security of intelligent agricultural information remote data storage and management.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, K. (2020). Intelligent Agricultural Information Remote Data Storage Method Based on Block Chain. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-51100-5_23
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DOI: https://doi.org/10.1007/978-3-030-51100-5_23
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