At the lowest level of any form of modern equipment, we have a network of sensors, microcontrollers, and actuators connected to a common network, providing binary stream data. These can provide measurements for status such as position, speed, temperature, etc.
In the context of repair and maintenance, understanding the sensor behavior under different conditions, and detecting anomalies, is key. Their correlations to each other and the system as a whole can predict or give early warnings of failure. This is Sensor Intelligence.
- Process outputs from any time series or event data: scanners, IoT data, telemetry or telematics
- High availability and scalability to process trillions of events
- Built-in mathematical models to discover normal running condition anomalies
- Identify sensors responsible for anomalies depending on trouble codes