Smart Vehicle Management is a prototype project that replicates an industrial IIoT (Industrial Internet of Things) solution, similar to those used across various IIoT domains. It enables real-time monitoring and management of vehicles by collecting sensor data, analyzing performance, and predicting maintenance needs. Built with AWS, Kafka, TDengine, and Spring Boot, the system ensures scalable data ingestion, processing, and analytics, providing actionable insights to enhance operational efficiency. This architecture can be adapted for other industrial IIoT applications, such as manufacturing, logistics, and energy management.
The Batch Processing for OEE (Overall Equipment Effectiveness) Calculation automates efficiency measurement in industrial operations. Upon file uploads to Amazon S3, an AWS Lambda (Java) function is triggered via EventBridge, processing key machine parameters like availability, performance, and quality. The computed OEE metrics are then stored in Amazon DynamoDB for real-time monitoring and historical analysis, enabling data-driven decision-making to optimize equipment performance.