Logistics

Comprehensive AI Monitoring for automated warehouses

Intralogistics is a critical element of the supply chain. Any unplanned interruption of the flow gives rise to heavy costs and stressful situation for the operators.

With the emergence of e-commerce and the ever more rigorous requirements of storage conditions, warehouses are getting always more automated and technically sophisticated. Their maintenance is becoming a core process.

The Monitoring of Automated Warehouses is therefore a solution for operators to get a better grip on their systems.

Solution for logistics

Integrated "all-in-one" platform: Data Acquisition, Data Management, Analytics and Reporting
Installation on any type of Logistics Platforms
Autonomous Data Acquisition without any iInterface with the existing Automation Architecture
Pre-defined Heath Indicators focused on the Detection of critical Failures
Integrated Dashboard for the follow-up the Health Indicators

Advantages

Systemic overview of the health state of the machines
Fault free operation
Extension of the risk coverage
Optimisation of the machine performance
Maintenance planned with 6-12 months advanced notice

Typical Health Indicators

Anomalies in the speed profil caused by structure instabilities and inadequate controller parameters
Anomalies in the transverse direction of the robots cased by clearance in the guiding wheels
Anomalies in the radial vibration of the guiding wheel axis in the vertical direction cased by degrading wheel quality, unclean or abnormal clearance of rails and wear-outs on the bearings, clamp and gearbox
Anomalies of the hub's breakdown quality caused by inadequate controller parameters or ageing of the driving belts