Use cases for Amazon IoT SiteWise
Amazon IoT SiteWise is used across a variety of industries for many industrial data collection and analysis applications.
Collect data consistently from all your sources to help resolve issues quickly. Amazon IoT SiteWise offers remote monitoring to collect the data directly on-site or gather it from multiple sources across many facilities. Amazon IoT SiteWise provides the necessary flexibility for industrial IoT data solutions.
Manufacturing
Amazon IoT SiteWise can simplify the process of collecting and utilizing data from your equipment to pinpoint and minimize inefficiencies, enhancing industrial operations. Amazon IoT SiteWise helps you collect data from manufacturing lines and equipment. With Amazon IoT SiteWise, you can transfer the data to the Amazon Cloud and build performance metrics for your specific equipment and processes. You can use the metrics produced to understand the overall effectiveness of your operations and identify opportunities for innovation and improvement. You can also view your manufacturing process and identify equipment and process deficiencies, production gaps, or product defects.
Food and beverage
Food and beverage industry facilities handle a wide variety of food processing, including grinding grain to flour, butchering and packing meat, and assembling, cooking, and freezing microwaveable meals. Food processing plants often span multiple locations with plant and equipment operators in a centralized location to monitor processes and equipment. For example, refrigeration units assess ingredient handling and expiration. They monitor waste creation across facilities to ensure operational efficiency. With Amazon IoT SiteWise, you can group sensor data streams from multiple locations by production line, and facilities so your process engineers can better understand and make improvements across facilities.
Energy and utilities
With Amazon IoT SiteWise, you can resolve equipment issues easier and more efficiently. You can monitor asset performance remotely and in real time. Access historical equipment data from anywhere to pinpoint potential problems, dispatch accurate resources, and both prevent and fix issues faster.