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Cost-Effective Implementation of a Temperature Traceability System Based on Smart RFID Tags and IoT Services
Oscar Urbano1, Angel Perles2, Cesar Pedraza1
1Grupo de Investigación EMC-UN, Universidad Nacional de Colombia, Ciudad Universitaria, 111321 Bogotá, Colombia.
Sensors (Basel, Switzerland)
|February 26, 2020
Summary
This study introduces an RFID and IoT traceability system for food transport, overcoming interconnection and cost barriers. It ensures real-time condition monitoring, making supply chains more efficient and transparent.
Area of Science:
- Food Science and Technology
- Supply Chain Management
- Information Technology
Background:
- Traditional traceability systems face challenges with interconnection between different technologies and high initial investment costs.
- Monitoring food conditions during transportation is crucial for maintaining quality and safety.
- Integrating Radio Frequency Identification (RFID) and the Internet of Things (IoT) offers potential solutions to these issues.
Purpose of the Study:
- To design and validate a novel traceability system using RFID technology with integrated temperature sensors and Internet of Things (IoT) services.
- To address the common problems of interconnection and high cost-implementation in existing traceability solutions.
- To demonstrate the system's effectiveness in monitoring food conditions during transportation in both controlled and real-world scenarios.
Main Methods:
- Development of an RFID layer incorporating temperature sensors into tags for real-time tracking of food conditions.
- Utilization of the Internet of Things (IoT) paradigm to enable seamless interconnection of diverse systems onto a single platform.
- Implementation of a Data as a Service (DaaS) billing model to mitigate high initial investment costs for users.
Main Results:
- The system successfully tracked and traced food conditions, integrating temperature data from RFID tags.
- Interconnection challenges were addressed by leveraging the IoT platform, allowing multiple systems to communicate.
- The Data as a Service (DaaS) model proved effective in reducing upfront costs, making the technology more accessible.
- Validation in laboratory conditions (chopped pumpkin) and a real-world scenario (oranges from Spain to Ireland) confirmed system functionality.
Conclusions:
- The developed RFID and IoT-based traceability system effectively addresses interconnection and cost barriers in supply chain management.
- The integration of temperature sensors provides valuable real-time data for monitoring food quality during transit.
- The DaaS model offers a cost-effective solution for implementing advanced traceability technologies.
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