With AWS IoT Events, you can easily evaluate multiple sources of telemetry data to detect the state of processes, equipment, or products quickly and schedule maintenance and send alarms or alerts to support teams and trigger actions, such as shutting down equipment that is malfunctioning before more damage is done. For example, you could use AWS IoT Events to quickly build a food spoilage notification service system that notifies technicians before spoilage occurs if a freezer is malfunctioning. Technicians would get a notification when the freezer temperature rises above a pre-defined range of temperatures and the humidity increases to help them discover that the freezer door is not sealing correctly. Faster identification of events can prevent food spoilage and waste, saving thousands of dollars in potential lost revenue.

In AWS IoT Events, you can combine multiple sources of telemetry data like belt speed, motor voltage, amperage, and noise levels, then define conditional logic to apply to that data, to gain full insight into your equipment and processes. This visibility helps you better understand events, such as when a motor might be stuck. You can also select a pre-built action to trigger, such as sending a message to the motor to shut down, before putting equipment at greater risk.

You can write event logic, using simple ‘if-then-else’ statements, to evaluate sensor attributes, such as temperature and pressure, that identify critical events. These attributes can trigger automatic alerts and pre-defined responses from AWS IoT Events. For example, you can specify events related to a welding robot, such as an arm becoming misaligned. When AWS IoT Events detects the incident, it automatically issues an alert and executes the appropriate response, such as shutting down the production line.

Manufacturers manage multiple pieces of equipment with many independent sensors. The number and scale of sensors can make it challenging to detect critical operational events, such as when equipment variability reduces output quality. AWS IoT Events makes it easy and cost effective to detect events system-wide by monitoring telemetry data such as belt speed, motor voltage, amperage, and noise levels. You can apply conditional logic to understand when a motor might be stuck or a device is approaching failure and trigger responses to optimize efficiency and improve production quality.

AWS IoT Events can help identify issues within oil well equipment. By setting up an event detector in IoT Events, you are able to understand the state of your equipment. Add incoming telemetry data and conditional logic to make the right decision at the right time. The event detection service combines telemetry sources, such as pressure, level, and temperature sensors, to gain full insight into equipment and quickly identify issues, such as fuel leaks, which can lead to costly shutdowns. AWS IoT Events evaluates this incoming telemetry data, recognizes patterns, and takes pre-defined actions when it detects events, before loss or failure occurs.

Commercial and consumer producers build products that are purchased and used by millions of customers. Producers are now able to identity events across devices, quickly address issues, and earn customer trust, while gaining greater insight on future design needs. With AWS IoT Events, you can define an event detector for each model of your device, combine this with incoming telemetry data and conditional logic to define and detect events and define the responses to those events. Any time a new unit comes online, AWS IoT Events launches a new instantiation of the event detector for that device. AWS IoT Events continues to detect events across the millions of customers using that device model and responds quickly.