Clustering-Based Intelligence Service Layer for Robotic Fleet Maintenance

Fuente: Wipo "digitalization"
A robotic fleet management platform includes a resources data store maintaining a fleet resource inventory indicating fleet resources that can be assigned to a robotic fleet. For each fleet resource, the fleet resource inventory indicates maintenance status data, a predicted maintenance need, and/or a preventive maintenance schedule. A library of fleet resource maintenance requirements facilitates determining maintenance workflows, service actions, and/or service parts. The platform calculates predicted maintenance need of a fleet resource based on anticipated component wear or failure. The anticipated component wear/failure is derived from machine learning-based analysis of the maintenance status data in the fleet resource inventory. The platform monitors a health state of the fleet resource based on sensor data. The platform predicts the anticipated component wear/failure based on a clustering algorithm to identify at least one failure pattern in a set of failure data. The prediction is executed by a predictive maintenance intelligence service layer.