| With the acceleration of the globalization process,food safety has become a global concern,and the Chinese population is increasingly concerned about the quality and safety of agricultural products.However,the growing complexity of supply chains has led to counterfeit agricultural products becoming more prevalent in daily life.Taking the example of green sugar heart winter jujube,a special agricultural product in Xinjiang with high nutrition and brand value,the appearance of fake products on the market seriously damages its reputation in Xinjiang.Therefore,a traceability system,which can trace and track the source of food,plays a vital role in ensuring the authenticity of food.However,the current agricultural product traceability system has certain loopholes in the supply chain information collection method,such as the authenticity of information caused by uncontrollable factors such as temperature and humidity during manual collection.Additionally,the quality of service(Qo S)of the Internet of Things(Io T)routing is crucial to the safety and reliability of source data transmission.Traditional centralized database traceability systems are unable to guarantee data tamper-proof problems during data storage.To address these issues,this thesis proposes a new architecture for the winter jujube product traceability system.The study focuses on the security routing optimization algorithm and blockchain technology of the winter jujube traceability Io T.This new architecture aims to avoid errors and data tampering problems that may occur during manual input and achieve data sharing,credibility,and traceability of winter jujube products.The following research work has been carried out in this thesis:(1)In this thesis,a multi-objective chaotic elite adaptive ant colony algorithm(MCEAACO-QSRP)is proposed for the routing security and Qo S of the Io T in the traceability process of winter jujube products.Specifically,the author formulates a Qo S security routing mathematical model and optimizes routing performance based on this model.The MCEAACO-QSRP algorithm combines the advantages of ant colony algorithm,chaos initialization,elite strategy,and adaptive strategy.The algorithm includes ant colony initialization,route fitness evaluation,path selection,and pheromone update strategy.To evaluate the proposed algorithm,the author compares it with three popular security routing algorithms in a simulation study.The results show that,when the network size is 300 nodes,MCEAACO-QSRP outperforms the three algorithms in terms of data packet delivery rate by 0.94%,1.70%,and 1.79%,respectively.These findings indicate that MCEAACO-QSRP can effectively improve the security and Qo S performance of the winter jujube traceability Io T.(2)Based on blockchain and Io T technologies,this thesis investigates the traceability system of winter jujube products.The primary focus is on designing a four-tier architecture for the winter jujube product traceability system,which comprises the device access layer,data layer,business service layer,and application layer.The device access layer facilitates the automatic flow of environmental information collection,and the use of an Ethereum private chain ensures the reliability,decentralization,and tamperresistance of data.A smart contract for winter jujube data uplink is designed,and its security is verified.Additionally,a traceable image anti-counterfeiting mechanism is proposed to reduce the transaction time of the data link and speed up the traceable query.The system’s business functions are modularized to enhance its scalability.(3)In this thesis,the implementation and testing of the winter jujube product traceability system is the main focus.The work includes building an Ethereum private chain and deploying smart contracts,integrating an Internet of Things platform for reporting and transferring data to the business platform,implementing business function modules,developing a traceability applet,and realizing the traceability methods of NFC,RFID,and QR code.The winter jujube product traceability system’s function is then tested to ensure the service’s robustness and reliability.The research presented in this thesis can not only improve the security and quality of service of the Internet of Things routing for the traceability of winter jujube products,but also address the problem of manual errors in writing key information during the traceability process,such as temperature and humidity,and ensure the tamper-proof nature of winter jujube traceability data,thus promoting the traceability of product safety and quality.Moreover,the research can effectively combat counterfeit and substandard products,enhance the market competitiveness of original products,and foster the development of agricultural industrialization and informatization in Xinjiang. |