Real-Time Monitoring System for Transportable Cold Storages

Abstract

The need of efficient transport is important to maintain product quality and safety for perishable items like food and pharmaceuticals. So, to enhance the integrity of cold chain logistics, Real-Time Monitoring System for Transportable Cold Storages (RTMCS) is given by this paper. The RTMCS includes environmental monitoring sensors with GPS technology, to ensure real-time tracking of temperature, humidity, and geographic location throughout the transportation. By providing the stakeholders with continuous access to the data, the system provides assistance for proactive decision-making and timely interventions to prevent damage and maintaining compliance with safety regulations. Resultsshow that the RTMCS significantly reduces spoilage ratesby ensuring that products are consistently kept within specified temperature ranges. The findings highlight the importance of adopting smart monitoring solutions to address the challenges associated with transporting temperature-sensitive goods. Ultimately, the RTMCS presents an innovation in cold chain management, improved accountability, traceability, and product quality during transit while contributing to overall operational efficiency.

Introduction

The paper addresses the critical need for accurate temperature regulation in cold chain logistics to ensure the safety and quality of perishable goods during transport. It proposes a cost-effective over-temperature alarm system using Artificial Neural Networks (ANN) combined with multi-source data for enhanced accuracy. Advances in cold chain technology—including IoT sensors, RFID tags, GPS tracking, cloud platforms, and AI-based monitoring systems—improve real-time temperature and environmental control, reduce spoilage, and support sustainability by balancing quality, cost, and energy use.

Key innovations include passive RFID tags with temperature-sensitive materials, IoT-driven real-time monitoring systems with high classification accuracy, and integrated GPS/GSM modules for tracking and emergency alerts. The literature highlights the trade-off between accuracy and cost, emphasizing the need for affordable yet reliable monitoring solutions.

The proposed methodology employs hardware components like DS18B20 temperature sensors, the XIAO C3 microcontroller, and the A9G GPS/GPRS module, alongside software tools such as Arduino IDE, Flask, and ThingSpeak, to create a real-time monitoring system. This system tracks temperature, diesel levels, and location, sending alerts when thresholds are exceeded and providing remote access via a web-based dashboard. Testing showed the system effectively maintains cold storage conditions, ensures product integrity, and enhances cold chain logistics by enabling proactive management and decision-making.

Conclusion

The accurate temperature regulation is essential in cold chain logistics to maintain the quality and safety of perishable goods. This paper presents an economical over-temperature alarm system that utilizes an ANN model combined with multi-source data (MSD), which enhances the detection accuracy while keeping costs low in managing the food supply chain[1].The distinct logistics requirements of temperature-sensitive products had to be assessed and analyzed for making an advancement in cold chain processes and technologies which aim at maintaining product quality[2]. These advancements will in turn promote sustainability as it reduces spoilage significantly.

References

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Copyright

Copyright © 2025 Swarali Mahajan, Prachi Shrirao, Shraddha Patel, Om Umale. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.