Industrial enterprises use millions of Instruments/devices to collect loads of data from sensors and control systems. However, given the variety of sensors & control systems, the enterprises are still struggling to leverage all such data at the required frequency. And therefore, are faced with sub-optimal accuracy of red flag alerts, leading to sub-standard quality of decision-making and timeliness of actions.
Smart hardware & machine manufacturers, which supply instruments to such enterprises, need to further add new digital capabilities to solve their customers’ core problems and improve execution in their own business. These include capturing of high-value data, with required context of customer’s business and integrating with industrial systems for further Analytics & Alerts.
At Saviant, our industrial data engineering frameworks help instruments engineering & machine manufacturers to use machine data as an asset to help their industrial enterprise customers run fault-less operations.
Capture, collect, prepare & transform device data
Capture data
of high volume & velocity, from different devices and data sources. Use protocols like OPC UA/DA & Modbus to capture data moving at real time speed between devices, PLCs/SCADA systems to edge servers. Standardize data with protocols like OPC UA & MT Connect.
Edge processing
on the device itself or on a field gateway. Connect the industrial equipment to the cloud using a field gateway, which enables protocol & identity translation, edge processing and analytics by adhering to network security policies (ISA 95, ISA 99).
Cloud gateway
like Azure IoT Hub to enable secure device connectivity, data ingestion,
and bi-directional communication with smart devices including device management on Cloud. Connect millions of smart devices to cloud seamlessly.