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• Create shopfloor Machine Network

• Connect Machine PLCs, Sensors - Siemens, Allen-Bradley, Mitsubishi, Schnieider, Delta etc using field bus protocols

• Supports CNCs including Siemens, FANUC through MTConnect, OPC UA connectivity.

• Production visibility in real time from any where

• Continuously improve your operational efficiency by measuring, visualizing and analyzing key performance indicators (OEE).

• Perform root cause analysis by co-relating plant events. Evaluate and analyse production line performance with dashboards for equipment effectiveness, quality and maintenance KPI

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• Monitor all factory Equipments real time from anywhere using browser, mobile.

• Equipment data collected is analysed continuously to identify anomalies.

• Failures are predicted before they happen using AI-ML. This reduces unplanned downtime and expensive cost from equipment failure.

• Monitor the plant consumption such as gas at real time.

• Raise alerts when consumption is beyond the threshold limits.

• Reports of hourly, daily, weekly, monthly consumption

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• We make legacy equipment SMART by adding a controller capable of receiving data from various machine sensors, and has connectivity over wi-fi or GSM to send live data to Server. As such, legacy equipment becomes Digital Asset.

• Once it becomes digital asset, you can monitor equipment remotely, can do Predictive Maintenance, Productivity measurement

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• Using ML algorithms anomalies in process or equipment can be determined. This helps control the losses before entire production batch is impacted.

• Prognostic analytics predict the future degradation or damage and the Remaining Useful Life (RUL) of an asset or part based on measured data.

• Capture Machine Parameters during machining/processing at each station, during assembly, during inspection to generate traceability.

• Use this information for compliance purpose, for history tracking during part recall, for detecting anomalies during production.

• Supports OT-IT integration. No more data silos.

•  Easy integration with Enterprise system such as ERP.

• Accessibility of field data to larger enterprise.

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•  Provides monitoring of hazardous gases, inflammable gases affecting employee health in the plants.

• Alerts are raised to respective administrators when threshold levels are crossed.

• Dashboards of all violations for further management study.

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• Quality Inspections can be automated using Artificial intelligence - neural networks

• Provide initial training of 'good' and 'defective' models to train the AI Model.

• Use this model for prediction of surface defects such as cracks. System improves its prediction performance with progression of time.

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• Use RFID or BLE Beacons to track the asset location within the plant. 

• Track realtime production at your suppliers end, but having end-of-the-line detection of part produced.

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