Industrial Internet of Things
AWS IoT is the #1 choice of leading organizations including Volkswagen, LG, iRobot and thousands more.
Industrial IoT (IIoT) brings machines, cloud computing, analytics, and people together to improve the performance and productivity of industrial processes. With IIoT, industrial companies can digitize processes, transform business models, and improve performance and productivity, while decreasing waste. Currently, companies across a wide range of industries are working on IoT projects that connect billions of devices and deliver value across a variety of use cases including predictive quality and maintenance analytics, asset condition monitoring, and process optimization.
Industrial IoT Use Cases
Predictive quality analytics extracts actionable insights from industrial data sources such as manufacturing equipment, environmental conditions, and human observations to optimize the quality of factory output. Using AWS IoT, industrial manufacturers can build predictive quality models which help them build better products. Higher quality products increase customer satisfaction and reduce product recalls.
Asset Condition Monitoring
Asset condition monitoring captures the state of your machines and equipment to determine asset performance. With AWS IoT, you can capture all IoT data, such as temperature, vibration, and error codes indicate if equipment is performing optimally. With increased visibility, you can maximize asset utilization and fully exploit your investment.
Predictive maintenance analytics captures the state of industrial equipment to identify potential breakdowns before they impact production resulting in an increase in equipment lifespan, worker safety, and the supply chain optimization. With AWS IoT, you can continuously monitor and infer equipment status, health, and performance to detect issues in real-time.
CAF uses AWS to increase train safety and reduce maintenance costs.
Pentair uses AWS IoT to improve beer filtration processes and boost performance by 10%.
Vantage Power enables powertrain innovation and safety for heavy-duty vehicles with AWS IoT.
Siemens built a high quality, scalable and secure platform to enable them to deliver better healthcare.
Why AWS IoT for Industrial Applications
With the broadest and deepest functionality from the device to the cloud, AWS IoT helps customers, such as Volkswagen, Yanmar, Vantage Power, British Gas, SolarNow, CAF, and Honeywell, improve the performance and productivity of industrial processes. These customers rely on AWS IoT to build applications that address the top challenges facing industrial customers to uncover new business value through predictive quality analytics, asset condition monitoring, predictive maintenance analytics, and process optimization.
Complete solution for Industrial IoT
AWS IoT is a set of fully managed services that make it easy to deploy and manage a complete industrial IoT solution.
Collect, store, and analyze device data
AWS IoT provides a range of services specifically designed to make it easy to collect, store, and analyze device data even in noisy, unreliable environments.
AWS IoT helps customers scale their industrial IoT applications up to millions of devices.
Security Designed for IoT
AWS IoT makes it easy for customers to secure device fleets at scale with built-in device authentication and authorization to keep IIoT data and devices protected.
How It Works
Blog Posts and Articles
Explore Industrial IoT Resources
Learn how AWS IoT SiteWise can help you collect, structure, and search IoT data from industrial equipment at scale. With edge-based software and cloud-based services, see how you can get started quickly and attain your industrial business goals.
Predictive maintenance helps industries understand the condition of their equipment and identify potential breakdowns before they impact production. IIoT offers new levels of predictive maintenance to industrial enterprises. Using insights from industrial data sources such as the equipment itself, environmental conditions, and human observations, industrial companies can determine the best actions to take.
Industry 4.0 is here, and organizations are rapidly automating factory floors, machinery, and production lines. Industry 4.0 promises to improve efficiency and lower operational costs, but there are challenges along the way such as device security, device management across diverse fleets, and analytics.