Revolutionizing Aerospace Parts Manufacturing with AWS IoT Solutions
As aerospace manufacturing evolves, staying competitive means embracing advanced technology. For a leading aerospace parts manufacturer, Neviton Technologies implemented an AWS IoT solution designed to optimize shop floor operations and enable real-time insights. The client’s reliance on manual data collection limited productivity and prevented timely, data-driven decisions. By harnessing AWS IoT’s powerful capabilities, we transformed their production processes with real-time monitoring, predictive maintenance, and streamlined analytics.
Why: Understanding the Need
Our client, a leading manufacturer of aerospace parts, sought to enhance their manufacturing processes by integrating advanced IoT solutions. The primary goal was to optimize shop floor operations, improve production efficiency, and enable real-time monitoring and analytics. The traditional manufacturing setup relied heavily on manual data collection and processing, which was prone to errors, inefficiencies, and delays. This limited the client’s ability to make timely, data-driven decisions, leading to increased downtime and reduced productivity.
To address these challenges, the client needed a robust IoT solution capable of seamlessly collecting, processing, and analyzing data from their manufacturing equipment. This would enable real-time insights into production performance, predictive maintenance, and overall operational efficiency.
How: Implementing the Solution
To meet the client’s needs, we implemented a comprehensive IoT solution leveraging AWS services. The solution focused on collecting data from PLC systems on the shop floor using OPC UA, transmitting the data to the AWS cloud using the MQTT protocol, and utilizing AWS streaming and storage services for data processing and analysis.
To address these challenges, the client needed a robust IoT solution capable of seamlessly collecting, processing, and analyzing data from their manufacturing equipment. This would enable real-time insights into production performance, predictive maintenance, and overall operational efficiency.
Solutions
Data Collection with OPC UA and MQTT
We integrated OPC UA with the client’s PLC systems to collect real-time data from the manufacturing equipment. The data was then transmitted to AWS IoT Core using the MQTT protocol, ensuring reliable and secure communication between the shop floor and the cloud.
AWS Streaming Services
Once the data was in AWS IoT Core, it was processed using AWS IoT Analytics and AWS Kinesis. These services allowed us to perform real-time streaming analytics, enabling the client to monitor equipment performance, detect anomalies, and gain actionable insights in real-time.
ETL and Data Storage
We employed AWS Glue for ETL (Extract, Transform, Load) processes, transforming the raw data into a structured format suitable for analysis. The processed data was then stored in Amazon S3 using lightweight parquet file format, optimizing storage costs and performance.
Serverless Applications and APIs
We developed serverless applications using AWS Lambda and API Gateway to enable seamless access to the processed data. These applications provided APIs for real-time data retrieval and integration with various reporting and analytics tools
Reporting and Analytics
We leveraged Amazon QuickSight for data visualization and analytics, providing the client with interactive dashboards and reports. This enabled stakeholders to gain deep insights into production performance, equipment health, and overall operational efficiency.
Key Actions in the Implementation Process
OPC UA Integration
Configured OPC UA clients to collect data from PLC systems and transmit it to AWS IoT Core using MQTT.
Real-Time Data Processing
Utilized AWS Kinesis and AWS IoT Analytics for real-time data streaming and analytics.
ETL and Storage Optimization
Implemented AWS Glue for ETL processes and stored data in Amazon S3 using parquet file format.
Data Visualization
Developed interactive dashboards and reports using Amazon QuickSight for comprehensive data analysis.
Impact: Measuring the Success
Improved Operational Efficiency
Enabled real-time monitoring and analytics, reducing downtime and improving overall production efficiency.
Enhanced Data-Driven Decision Making
Provided actionable insights through interactive dashboards and reports, facilitating timely and informed decisions.
Cost Optimization
Optimized storage costs and performance using lightweight parquet file format and serverless architecture
Predictive Maintenance
Enabled predictive maintenance capabilities, reducing unexpected equipment failures and maintenance costs.
Scalability and Flexibility
Leveraged AWS services to build a scalable and flexible solution that can easily adapt to changing business needs.
AWS IoT solutions empower aerospace manufacturers to enhance productivity, reduce downtime, and unlock data-driven insights for smarter, faster decision-making.
Advancing Aerospace Manufacturing with AWS
Neviton’s AWS IoT solutions give aerospace manufacturers a competitive edge, enabling efficient, resilient, and data-driven operations. Partner with us to embrace the future of manufacturing with smart, scalable solutions tailored to meet evolving industry demands.
