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Scalable Temperature and Humidity Monitoring System for Pharmaceutical Cold Chain Logistics
  1. case
  2. Scalable Temperature and Humidity Monitoring System for Pharmaceutical Cold Chain Logistics

Scalable Temperature and Humidity Monitoring System for Pharmaceutical Cold Chain Logistics

altoroslabs.com
Logistics
Supply Chain
Transport

Challenge in Monitoring and Ensuring Cold Chain Integrity in Air Cargo Logistics

The client faces the challenge of maintaining real-time monitoring of temperature and humidity conditions for pharmaceutical cargo transported by air, ensuring compliance with strict regulatory standards. Existing systems lack scalability, real-time anomaly detection, and transparent access for supply chain partners, risking product safety and regulatory violations as the volume of shipments and data increases.

About the Client

A major logistics provider specializing in air freight services for temperature-sensitive pharmaceutical products across global markets.

Key Goals for Developing a Robust Cold Chain Monitoring Platform

  • Develop a scalable and high-availability system capable of monitoring temperature and humidity across up to 10,000 aircraft with sensors in 50+ aircraft and 60+ sensors per aircraft.
  • Implement real-time data collection with asynchronous computations and rapid read/write capabilities within 100 milliseconds.
  • Incorporate anomaly detection and automatic incident alerting to promptly address temperature/humidity deviations.
  • Establish a secure RESTful API to enable supply chain participants (manufacturers, warehouses, hospitals) and third-party services to access monitoring data.
  • Design the architecture with microservices for ease of maintenance, scalability, and added functionalities.
  • Enable autoscaling and load balancing to handle fluctuating data loads efficiently.

Core System Functionalities for Automated Cold Chain Monitoring

  • Independent microservices responsible for data ingestion, anomaly detection, alerting, and API access.
  • Implementation of a timeseries data mechanism for efficient sensor data management.
  • Asynchronous and parallel processing to minimize response times to under 100 ms for read/write operations.
  • Automated anomaly detection based on predefined temperature and humidity thresholds, with incident alerting mechanisms.
  • A RESTful API for external clients and integrated systems to access monitoring status and historical data.
  • Support for integration with third-party logistics information systems, such as flight tracking services.

Preferred Technologies and Architectural Approaches

Microservices architecture
Cloud platform with autoscaling capabilities
Spring Boot framework for microservice development
Timeseries data storage mechanisms
Asynchronous processing via Netty or similar frameworks
RESTful API standards

External System Integrations and Data Sources

  • Sensor data streams from cargo containers
  • Third-party logistics and flight tracking services
  • Supply chain management systems
  • Notification and alerting platforms

Non-Functional Quality Attributes and Performance Metrics

  • System scalability to support data from 50+ aircraft and over 10,000 shipments
  • Real-time processing with maximum latency of 100 ms for sensor data read/write
  • High availability and fault tolerance to ensure continuous monitoring
  • Secure API access and data confidentiality protocols
  • Ease of system configuration and management

Anticipated Business Benefits and Impact of the Monitoring System

The implementation of this scalable, real-time monitoring platform will enable the client to ensure the integrity of temperature-sensitive pharmaceuticals throughout transit, thereby reducing the risk of product spoilage and regulatory non-compliance. Expected enhancements include improved incident detection, increased supply chain transparency for partners, and the capacity to efficiently handle large volumes of shipment data, ultimately supporting the company's expansion into temperature-controlled logistics with reliable compliance and operational excellence.

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