Research On Diversion-Point System Of Shopping Mall Based On Blockchain

Shopping Mall is an offline business model,mainly composed of management agencies,merchants and customers.Customers are on-site customers,and the shopping mall provides one-stop service for them.Merchants are enterprises operating in fixed areas,and shopping malls help them expand customer flow.Due to the relatively stable layout of merchants,the distribution of passenger flow in shopping malls is uneven.After finishing a consumption,customers turn to the nearest merchants.As a result,the merchants with more passenger flow benefit more from the surrounding merchants,while the merchants far away benefit less.If the shopping mall directly changes the layout of merchants to adjust the passenger flow,it will cause the waste of human,material and financial resources.Therefore,it is of practical value to study an online diversion method to solve the problem of uneven distribution of passenger flow in shopping centers.At present,the research on Shopping Mall online diversion mainly involves two difficulties:(1)trust building is difficult.In cooperation,data has both sharing and privacy.Most merchants want to get more data rather than share data information.(2)The settlement efficiency is low and the accuracy is low.In cooperation,because of human operation,data can not be timely and effective processing and other factors,it is easy to cause losses.This paper focuses on the above two problems.Firstly,through the actual investigation of shopping mall,a prototype of the integrated diversion system based on Blockchain is proposed.Diversion points are points issued by shopping malls to merchants.Merchants will add the preferential points of diversion points to their own coupons to reward customers,so as to improve the attraction to customers with this double discount.Shopping Mall can adjust passenger flow by adjusting the distribution of diversion points and the preset coupon usage range.Blockchain technology has the characteristics of decentralization,traceability and tampering which can effectively solve the trust problem of shopping malls.The system stores the transactions between customers and merchants in the Blockchain,including the flow process of diversion points and coupons,so as to solve the diversion problem,realize transparent data sharing and ensure the effective cooperation between shopping mall and merchant.Then,a weighted practical Byzantine Fault-tolerant algorithm is proposed to realize the consensus of blockchain network.The weight is regarded as the minimum consensus unit of consensus nodes in the process of consensus.In the preparation stage and the verification stage of the consensus process,the feedback results of the consensus nodes in each stage are weighted to improve the fault tolerance rate and efficiency of the consensus algorithm.Then,aiming at the problem of human error and corrupting,an automatic settlement algorithm based on smart contract is proposed.The algorithm first traces the encrypted transaction data stores in the blockchian,and then uses the homomorphic encryption algorithm to directly calculate the consumption data of the integral.In the algorithm,the transaction data structure of the cooperation agreement between merchants are defined.A matching algorithm is proposed,which recombines the above three data structures for matching calculation to complete the final settlement.Finally,the implementation effect,security and anti-attack of the system are analyzed theoretically.According to the complete Blockchain system process simulation experiment,namely from account creation,transaction encryption,block consensus,block packaging,block on the chain to final settlement,the performance of consensus algorithm and settlement algorithm is verified.