IoT Platform for Predicting Failures in Vaccine Freezers Through Continuous Temperature Monitoring
This dissertation presents an IoT-based platform for predicting failures in vaccine freezers using continuous temperature monitoring to ensure vaccine efficacy
WIZnet - W5500
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Ensuring the proper storage of vaccines is critical for maintaining their effectiveness. This dissertation by Bruno Soares Rabelo introduces an IoT platform designed to continuously monitor the internal temperature of vaccine freezers, aiming to predict potential failures and prevent vaccine spoilage.
Key components and findings of the system include:
- IoT Sensors: Deployed within freezers to continuously monitor the internal temperature. These sensors collect real-time data crucial for maintaining the required storage conditions for vaccines.
- W5500 Ethernet Module: Utilized for reliable and efficient data transmission. This module ensures that the collected temperature data is transmitted to a central server with minimal latency and high reliability.
- Microcontroller Integration: The sensors are integrated with microcontrollers, such as Arduino, which process the data and communicate with the W5500 module.
- Data Management and Prediction Software: A central management system that aggregates the collected data, analyzes it using statistical models (e.g., ARIMA), and predicts potential failures based on temperature trends. This system provides real-time alerts and insights to healthcare providers.
- Middleware and Cloud Infrastructure: The data is processed and stored in the cloud, enabling continuous monitoring and access from various healthcare facilities.
The study highlights the importance of maintaining vaccines within specific temperature ranges to ensure their effectiveness. By implementing this IoT platform, healthcare providers can receive real-time alerts about temperature deviations, allowing them to take immediate corrective actions and prevent vaccine loss.
The dissertation details the testing and validation of the system in a real-world healthcare setting, demonstrating significant improvements in monitoring accuracy and predictive maintenance capabilities.
Hashtags: #IoT #VaccineStorage #DataMonitoring #WIZnet #W5500 #TemperatureControl #PredictiveMaintenance #Healthcare Categories: IoT, Healthcare, Data Communication, Sensor Networks, Predictive Maintenance
Publish Date: August 30, 2023