

XPS is an open, white-label data processing platform for machine manufacturers
Curated, integrated, hardened, and extended Open Source Software ready for shipping with production systems throughout the world

NO LICENSING FEES
XPS transfers into your ownership. There are no license fees. Everything is open-source.

PARTNERING
iplus1 can partner with you to complement your PLC development and digital business teams with IT/OT knowledge and development capabilities.

CUSTOMIZABLE
In comparison to standard software of PLC market leaders our open technology approach allows specific end-to-end functionality with an individual look and feel in your corporate design.
Example use cases
Push the boundaries of OT and IT
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Forward preprocessed machine data to industrial IT systems like ERP systems, e.g. to trigger accounting transactions or to calculate order progress.
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Bring order data to production systems, e.g. to automatically adjust machine settings.
Diagnosis and Optimizations
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Use long-term machine data and its meta data to find root causes for historical quality problems or inefficiencies and to parameterize your production systems more optimally.
Dashboarding and User Interfaces
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Create dashboards and visualisations with our dashboard configuration engine and style them within your corporate design.
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Describe dynamic dashboards that adapt automatically according to machine settings.
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Create Web Interfaces to parameterize production machines on mobile or stationary devices.
Remote service
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Securely transfer raw or preprocessed data from production systems in the field to clouds or central IT systems where service teams can analyse it.
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Customers operating machines can give permission to remotely access XPS and its historical data sets, dashboards etc. using VPN connections.
E-Shop integration
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Integrate E-Shop functionality on the shopfloor and measure usage times, natural wear and increased stress of machine components to recommend spare parts and maintenance work.
Self diagnosis
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Achieve better operational quality, reduced downtime and more consistent product quality even with less skilled personell.
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Skilled machine operators typically know best how to handle all kinds of production situations. Personell less skilled are hard to get up to speed. Together with a research partner, iplus1 extended XPS to offer self diagnosis. Operators get suggestions for how to handle production situations based on earlier machine data and operator actions.
AI use cases
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XPS provides a basis for artificial intelligence (AI), machine learning (ML) and data science teams to develop, operate and maintain machine learning models.
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Typical use cases used in conjunction with XPS are predictions (like maintenance intervals and tool wear) and anomaly detection.
Provide standardised APIs for enriched machine data
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Provide access to historical machine data, master-data and machine structures via APIs that follow industrial data and interface standards of your sector. Typically interfaces are provided over OPC UA or HTTP, but highly processed data can even be offered via Modbus or dedicated I/O modules.
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Fulfil tender requirements for production machines to provide standard APIs to historical machine data and machine structure.
Advanced use cases
TECHNOLOGY

IT integration
Protocols
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HTTPS
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MQTT
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OPC UA
Systems
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ERP, MDE via HTTP/oData or DB tables/SQL
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Azure IoT Hub / Event Hubs
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AWS S3 /SQS
Visualization and Dashboarding
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Self-service dashboarding using integrated Grafana for quick results
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Easy-to-use dashboarding solution for custom, high-fidelity visualization
Deployment and maintenance tooling
For more information about deployment technology and options, click here:​
OT integration
Protocols
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OPC UA
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Modbus TCP
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MQTT
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S7 SNAP
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MTConnect
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any open protocol
Data processing engine
Data preparation for high quality data​ sets
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Preprocessing of measurements (timestamping, conversion, semantics etc.)
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Automatic periodization (data packages for e.g. work orders, batches, time ranges)
Supported IPCs
Broad IPC edge device support from multiple industrial suppliers like Siemens, WAGO, Advantech