Today’s manufacturing and industrial operations are driven by machines that have been embedded with a wide variety of IoT devices (sensors, actuators, controllers, etc.). Those devices produce a flood of data. Utilizing that mass volume of data to produce highly targeted machine health scores is the next imperative within many industry 4.0 initiatives.
MicroAI utilizes the latest in endpoint AI technology combined with a powerful data aggregation and visualization engine to produce real-time machine heath scores that convert raw data into actionable insights.
The amount of time the machine was operational during a given period.
The amount of actual machine output compared to its maximum operating potential.
A measurement of how long the machine operates between failure incidents. A vital indicator of machine reliability.
Identification of the cause of failure and recommended corrective action(s).
A measurement of the amount of time elapsed between machine failure (machine down) and repair (machine back up).
The percentage of machine-produced products that pass quality inspection with no rework required.
Ability to fast-track issue identification and corrective action and to identify recurring problems based on historical analytics.
Rapid detection of machine performance issues that negatively impact the quality of the product(s) being produced.
Real-time asset health monitoring extends the lifespan of expensive assets.
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