A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain

Current food traceability systems have a number of problems, such as data being easily tampered with and a lack of effective methods to intuitively analyze the causes of risks. Therefore, a novel method has been proposed that combines blockchain technology with visualization technology, which uses Hyperledger to build an information storage platform. Features such as distribution and tamper-resistance can guarantee the authenticity and validity of data. A data structure model is designed to implement the data storage of the blockchain. The food safety risks of unqualified detection data can be quantitatively analyzed, and a food safety risk assessment model is established according to failure rate and qualification deviation. Risk analysis used visual techniques, such as heat maps, to show the areas where unqualified products appeared, with a migration map and a force-directed graph used to trace these products. Moreover, the food sampling data were used as the experimental data set to test the validity of the method. Instead of difficult-to-understand and highly specialized food data sets, such as elements in food, food sampling data for the entire year of 2016 was used to analyze the risks of food incidents. A case study using aquatic products as an example was explored, where the results showed the risks intuitively. Furthermore, by analyzing the reasons and traceability processes effectively, it can be proven that the proposed method provides a basis to formulate a regulatory strategy for regions with risks.

[1]  Ted Pedersen,et al.  Name Discrimination by Clustering Similar Contexts , 2005, CICLing.

[2]  Gamal ElMasry,et al.  Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef , 2012 .

[3]  Dianhui Mao,et al.  Innovative Blockchain-Based Approach for Sustainable and Credible Environment in Food Trade: A Case Study in Shandong Province, China , 2018, Sustainability.

[4]  Chris Walshaw,et al.  Journal of Graph Algorithms and Applications a Multilevel Algorithm for Force-directed Graph-drawing , 2022 .

[5]  Saikat Mondal,et al.  Blockchain Inspired RFID-Based Information Architecture for Food Supply Chain , 2019, IEEE Internet of Things Journal.

[6]  Yuchen Yang,et al.  Blockchain application in food supply information security , 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[7]  Y. Chang,et al.  Traceability in a food supply chain: Safety and quality perspectives , 2014 .

[8]  P. A. Mourão,et al.  Imminent risk of a global shortage of heparin caused by the African Swine Fever afflicting the Chinese pig herd , 2019, Journal of thrombosis and haemostasis : JTH.

[9]  Nelofar Aslam,et al.  Energy-Aware Adaptive Weighted Grid Clustering Algorithm for Renewable Wireless Sensor Networks , 2017, Future Internet.

[10]  Jaeho Lee,et al.  Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model , 2020 .

[11]  Yung Po Tsang,et al.  Blockchain-Driven IoT for Food Traceability With an Integrated Consensus Mechanism , 2019, IEEE Access.

[12]  Fernando Pérez-Rodríguez,et al.  Quantitative Methods for Food Safety and Quality in the Vegetable Industry , 2018, Food Microbiology and Food Safety.

[13]  Agnieszka Bojko,et al.  Informative or Misleading? Heatmaps Deconstructed , 2009, HCI.

[14]  Marko Vukolic,et al.  Hyperledger fabric: a distributed operating system for permissioned blockchains , 2018, EuroSys.

[15]  Bedir Tekinerdogan,et al.  Architecture framework of IoT-based food and farm systems: A multiple case study , 2019, Comput. Electron. Agric..

[16]  Turid Rustad,et al.  A novel fluorimetric assay for visualization and quantification of protein carbonyls in muscle foods. , 2019, Food chemistry.

[17]  Fei-Yue Wang,et al.  Blockchain and Cryptocurrencies: Model, Techniques, and Applications , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[18]  Xiaoming Wu,et al.  Improving continuous traceability of food stuff by using barcode-RFID bidirectional transformation equipment: Two field experiments , 2019, Food Control.

[19]  Yefan Cai,et al.  An Agri-product Traceability System Based on IoT and Blockchain Technology , 2018, 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN).

[20]  Santosh Lohumi,et al.  Quantitative analysis of Sudan dye adulteration in paprika powder using FTIR spectroscopy , 2017, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[21]  Dianhui Mao,et al.  A Novel Sketch-Based Three-Dimensional Shape Retrieval Method Using Multi-View Convolutional Neural Network , 2019, Symmetry.

[22]  Ana Reyes-Menendez,et al.  How to Extract Meaningful Insights from UGC: A Knowledge-Based Method Applied to Education , 2019, Applied Sciences.

[23]  Feng Tian,et al.  An agri-food supply chain traceability system for China based on RFID & blockchain technology , 2016, 2016 13th International Conference on Service Systems and Service Management (ICSSSM).

[24]  Juanjuan Li,et al.  An Overview of Smart Contract: Architecture, Applications, and Future Trends , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

[25]  Thomas Seidl,et al.  Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[26]  Joseph Sarkis,et al.  Blockchain technology and its relationships to sustainable supply chain management , 2018, Int. J. Prod. Res..

[27]  Thanh Mai Ha,et al.  Consumer concern about food safety in Hanoi,Vietnam , 2019, Food Control.

[28]  David Eppstein,et al.  Force-Directed Graph Drawing Using Social Gravity and Scaling , 2012, GD.

[29]  Chenglong Zhang,et al.  Safety Traceability System of Characteristic Food Based on RFID and EPC Internet of Things , 2019, Int. J. Online Biomed. Eng..

[30]  Chang Yong Son,et al.  Mismanagement of personally identifiable information and the reaction of interested parties to safeguarding privacy in South Korea , 2017, Inf. Res..

[31]  E. Bardach,et al.  Regulation: Business Opposition vs. the Public Interest@@@Going by the Book: The Problem of Regulatory Unreasonableness. , 1983 .

[32]  Jia Chen,et al.  EPLS: A novel feature extraction method for migration data clustering , 2017, J. Parallel Distributed Comput..

[33]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[34]  Dianhui Mao,et al.  A Novel Dynamic Dispatching Method for Bicycle-Sharing System , 2019, ISPRS Int. J. Geo Inf..

[35]  Haisheng Li,et al.  Novel Automatic Food Trading System Using Consortium Blockchain , 2018, Arabian Journal for Science and Engineering.