Industrial Internet of Things

Uncover deeper insights from your data and build rich and scalable industrial applications using AWS IoT
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Why Industrial Internet of Things?

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. These asset intensive companies operating in a range of industries such as manufacturing, energy, agriculture, transportation and utilities, 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.

A typical industrial facility has thousands of sensors generating data. With IIoT, manufacturers, for example, can combine machine data from a single line, factory, or a network of sites, such as manufacturing plants, assembly facilities, and refineries, to proactively improve performance by identifying potential bottlenecks, failures, gaps in production processes, and quality issues before they happen. Combining data from a network of sites can also result in a more efficient control of material flow, early detection and identification and elimination of production or supply bottlenecks, and the optimized operation of machinery and equipment in all facilities.

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. 

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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 that indicate if equipment is performing optimally. With increased visibility, you can maximize the utilization and investment of your asset.

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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.

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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.

Benefits

AWS IoT is a set of fully managed services that make it easy to deploy and manage a complete industrial IoT solution.

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.

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.