The Traceability Information Management Platform of Duck Product Industry Chain

In response to various problems existing in the current duck product industry chain. For example, decentralized of the industry chain, lack of data exchange between each link, lack of unified information collection equipment, and so on. An intelligent information management platform for duck product chain was developed, based on the specific needs of each link of the duck and poultry industrial chain. The platform is mainly composed of the information collection equipment and the intelligent management systems. The information acquisition equipment comprehensively uses the current well-perceived and reliable transmission technology of the Internet of Things to achieve the seamless collection of information in each link of the duck product industry chain and the seamless convergence of information in each link. The intelligent management system utilizes big data analysis technology to realize internal automation and digital management. The long-term test of the system shows that the data in each link of the system seamlessly connects. The data collected by the system is accurate and reliable. Its operation is simple and convenient. The system is highly scalable and suitable for use in production.

[1]  Daniele Miorandi,et al.  A security-and quality-aware system architecture for Internet of Things , 2014, Information Systems Frontiers.

[2]  Antonio Iera,et al.  SIoT: Giving a Social Structure to the Internet of Things , 2011, IEEE Communications Letters.

[3]  Ying Zhang,et al.  Technology framework of the Internet of Things and its application , 2011, 2011 International Conference on Electrical and Control Engineering.

[4]  Fahim Kawsar,et al.  The Internet of Things: The Next Technological Revolution , 2013, Computer.

[5]  E. Abad,et al.  RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain , 2009 .

[6]  Wei Zhou.  Research on architecture of the internet of things , 2012, SoSE 2012.

[7]  Daeyoung Kim,et al.  SNAIL: an IP-based wireless sensor network approach to the internet of things , 2010, IEEE Wireless Communications.

[8]  Murad Khan,et al.  A Big Data Analytics Architecture for the Internet of Small Things , 2018, IEEE Communications Magazine.

[9]  Bill Karakostas.  A DNS Architecture for the Internet of Things: A Case Study in Transport Logistics , 2013, ANT/SEIT.

[10]  Johnson I. Agbinya.  Framework for wide area networking of inductive internet of things , 2011 .

[11]  Alexander Gluhak,et al.  A survey on facilities for experimental internet of things research , 2011, IEEE Communications Magazine.

[12]  V. Marx.  Biology: The big challenges of big data , 2013, Nature.

[13]  Mohsen Guizani,et al.  Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges , 2017, IEEE Wireless Communications.

[14]  F. Richard Yu,et al.  Software-Defined Device-to-Device (D2D) Communications in Virtual Wireless Networks With Imperfect Network State Information (NSI) , 2016, IEEE Transactions on Vehicular Technology.

[15]  Maximilien Gadouleau,et al.  A Matroid Framework for Noncoherent Random Network Communications , 2011, IEEE Transactions on Information Theory.

[16]  Tho Le-Ngoc,et al.  Energy-Efficient Resource Allocation for D2D Communications in Cellular Networks , 2016, IEEE Trans. Veh. Technol..

[17]  Michael Weyrich,et al.  Reference Architectures for the Internet of Things , 2016, IEEE Software.

[18]  Xu Zhang,et al.  Modeling and implementation of the vegetable supply chain traceability system , 2013 .