Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (7): 1666-1678.doi: 10.13229/j.cnki.jdxbgxb20200394

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Drug Efficiency improvement of drug detection big data based on blockchain

Bin-xiang JIANG1,2,3(),Hong-kui XU1,Dan HE4   

  1. 1.School of Information and Electrical Engineering，Shandong Jianzhu University，Jinan 250101，China
    2.Juvenile Crime & Justice Research Center，China University of Political Science & Law，Beijing 100088，China
    3.Institute of Computational Psychology，Shandong University，Jinan 250101，China
    4.AI Research Institute of Hunan ENHT Technology Co. ，Ltd. ，Qingdao 266000，China
  • Received:2020-12-30 Online:2022-07-01 Published:2022-08-08

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Abstract:

Aiming at the problems of large amount of data of national drug inspection business and low efficiency of storage and sharing of big data of drug inspection， a three-chain fusion block chain topology was proposed. The blockchain structure consists of a primary blockchain and two secondary blockchains. The main blockchain consists of a large number of fog nodes， and it is an editable lightweight blockchain. Each fog node attach two auxiliary chains externally. One of the secondary blockchains is an editable field fast detection blockchain. Another secondary blockchain is an editable field investigation blockchain， and it is a scalable twin chain blockchain. Bloom Filter is introduced into each block header extension region in each blockchain to improve the efficiency of blockchain data query. The introduction of fog-chain-cloud storage mode solves the problem of low efficiency of shared data storage， and it can reduce the pressure of data storage and high-frequency access on blockchain. Finally， an efficient drug inspection big data platform is built. Simulation experiments show that the three-chain fusion blockchain topology and various introduced blockchain measures can adapt to the business structure of drug inspection data sharing， and improve the efficiency of data sharing storage and access.

Key words: blockchain, three chain fusion blockchain, lightweight blockchain, editable blockchain, scalable twin blockchain, Bloom filter, fog-chain-cloud combined storage

CLC Number: 

  • TP393

Fig.1

Three-chain fusion blockchain architecture"

Fig.2

Lightweight blockchain architecture（LBA）"

Fig.3

Transaction state transition processs within LBA"

Fig.4

Initial state of bloom Filter bit vector set"

Fig.5

Hash map of element dp in Bloom Filter"

Fig.6

Element retrieval"

Fig.7

Build a block based on Bloom Filter"

Fig.8

Flog-Chain-Cloud data storage mode"

Fig.9

Block pointer structure"

Fig.10

Status update pool and new block structure"

Fig.11

Architecture of data sharing based on three chain fusion blockchain"

Fig.12

Data sharing scenario based on three chain fusion block chain"

Table 1

retrieves the experiment records"

组 号n/kHash个数m查询规模误判率/%时延/ms
151100015.6100328
5310006.7900395
5610008.4300441
59100016.1500506
512100028.3800657
210110006.8300276
10310001.0200223
10610000.3600315
10910000.4700384
101210000.9200459
315110005.5400207
15310000.1700265
15610000.0600339
15910000.0230405
151210000.0580693
420110004.2700215
20310000.0910244
20610000.0170326
20910000.0065392
201210000.0097718

Fig.13

Influence of m and n/k on misjudgment rate"

Fig.14

Influence of m and n/k on query delay"

Fig.15

Retrieval response time"

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