Fault prediction
Machine downtime
According to the International Society of Automation, $647 billion is lost each year worldwide due to machine downtime. Whether it’s due to changing seasons, increased use, or aging, equipment and machinery are susceptible to potential failures—and when they do, they can cost a business dearly.
Predicting faults and failures
We can predict and even prevent failures by analyzing and interpreting historical data about past failures of assets, services and labor requirements, and using this information to automatically create work orders and route them to the appropriate suppliers.
Systems Integration
AI technology can be easily integrated into IoT networks that monitor the health and functionality of devices and equipment using learned patterns of “normal” and “abnormal” inputs and outputs. Whenever an “abnormal” result is recorded, AI technology can identify the problem, predict the time and cost to resolve it, and schedule a dedicated internal team or vendor. Billing also becomes more efficient as scheduled work orders are automatically opened, closed, approved, and paid accordingly by interpreting bell curve data from previous orders of similar scope.
Maintenance planning
Thanks to automated maintenance and fault detection, our solutions enable management teams to manage hundreds (even thousands) of buildings and assets with significantly less machine downtime. This in turn reduces expenses and gives Facility Management time to focus on more important matters.
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