IoT-Enabled Risk Monitoring System for Cold Supply Chain Management in Logistics Applications
DOI:
https://doi.org/10.15662/IJEETR.2026.0802102Keywords:
IoT, Cold Supply Chain Monitoring, ESP32, Environmental Monitoring, Logistics Safety, GSM Alert System, GPS Tracking, Cloud MonitoringAbstract
A cold supply chain is a very crucial link in the chain of delivering heat-sensitive produce like fruits vegetables medicines, and other perishables. A cold supply chain ensures the quality of the produce and that it is safe for consumption by the end user. If the cold supply chain is broken during the transportation or storage of the produce, it can lead to the spoilage of the produce, financial losses for the companies involved, and safety risks for the consumers. This [paper] addresses this problem by proposing an An IoT-enabled risk monitoring system for cold supply chain logistics, which provides real-time environmental and security monitoring, is proposed in this paper.The system proposed in this paper is based on an ESP32 microcontroller working with multiple sensors that have been integrated for the main environmental factors, i.e. temperature humidity gas concentration, light, and door status. Temperature and humidity are measured using the DHT11 sensor, while gas contamination and spoilage are indicated by the MQ135 gas sensor. The system also uses door and light sensors to detect unauthorized door opening and exposure to a non-allowed light level, respectively. Besides this, the system has a GPS module providing real-time container positioning information.The ESP32 processes the sensor data it collects all the time and sends it to a cloud-based monitoring platform over Wi-Fi. The system uses ThingSpeak for remote monitoring and data visualization. This lets you store data in real time and look at it in graphs. When any parameter goes above a certain threshold, the system sends an SMS alert with a live location link so that the person can respond right away. This is done using a GSM module.Testing of the prototype in real-world situations shows that it can reliably monitor the environment, send alerts on time, and accurately display data in the cloud. The suggested system is a cost-effective and scalable way to make cold supply chain logistics safer, reduce the risk of spoilage, and make operations more open
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