1. Can I connect machines from different manufacturers to one central software platform?
Yes. Vipra® is designed to solve exactly this challenge.
Vipra is a vendor-independent industrial data platform that connects production machines, sensors, PLCs and peripheral equipment from different manufacturers.
By using suitable communication interfaces and protocol converters, Vipra brings information from heterogeneous production equipment into a common data environment.
This allows manufacturers to monitor and analyze their production processes without depending on a single machine manufacturer.
The required connectivity solution depends on the interfaces available on each machine.
2. Can I digitalize older production machines that do not have modern communication interfaces?
Yes. Vipra can help integrate legacy machines into modern digital production environments.
Many older machines do not support modern industrial communication standards.
SHS plus can develop individual connectivity solutions, integrate additional sensors or implement control-system retrofits where necessary.
This allows companies to collect relevant production data from existing equipment without automatically having to replace the machinery.
The technical effort depends on the existing control system and the information that needs to be collected.
3. Can I connect multiple extrusion lines to one central monitoring system?
Yes. Vipra can collect and consolidate production data from multiple extrusion lines.
Individual machines and peripheral equipment can be connected to a shared platform.
Production managers can use customized dashboards to monitor relevant process parameters, operating conditions and performance indicators across different lines.
This provides a common information base for production monitoring and process analysis.
4. Can Vipra connect Siemens PLCs and other industrial control systems?
Yes. Vipra can integrate Siemens PLCs and other industrial control systems through suitable communication interfaces.
Depending on the available hardware and software interfaces, integration may use established industrial protocols such as OPC UA or suitable gateways.
The integration concept is defined individually for the relevant control system.
5. Can I collect data from extruders, dosing systems, cooling equipment and downstream machinery in one system?
Yes. Combining data from different production components is one of Vipra’s core capabilities.
Vipra can integrate information from extruders, gravimetric dosing systems, temperature controllers, measuring devices and downstream equipment.
These signals can be stored, visualized and processed together.
This helps manufacturers analyze entire production lines rather than individual machines in isolation.
6. Can I exchange production data between machines, databases and existing software systems?
Yes. Vipra is designed for flexible industrial data integration and exchange.
Production data collected by Vipra can be processed and made available to other systems through suitable interfaces.
This supports integration scenarios involving manufacturing software, ERP systems, databases and customized applications.
The required interfaces and data structures are defined according to the specific integration project.
7. How can I monitor the performance of multiple production lines in real time?
Vipra can provide centralized production monitoring through customizable dashboards.
Relevant machine signals and production parameters are collected and displayed in a shared environment.
Depending on the available data, users can monitor machine conditions, production speeds, temperatures, pressures and other process variables.
Dashboards can be configured for individual production lines, departments or management functions.
8. Can Vipra calculate OEE for extrusion and other manufacturing processes?
Yes. Vipra can support OEE monitoring by collecting and processing the relevant production information.
Machine operating states, production times and other available signals can be used to determine equipment availability.
Performance and quality indicators can be integrated when the necessary production and quality data are available.
This enables the calculation of OEE and its components according to a defined calculation model.
9. Can Vipra automatically detect machine operating states and production downtime?
Yes. Vipra can derive machine operating states from available process signals.
For example, machine speed, extruder operation and other signals can be evaluated to distinguish between production, startup, changeover and downtime.
Operating states can be visualized and evaluated over time.
The classification logic must be adapted to the production process and the available signals.
10. Can I identify when and how long my production lines are stopped?
Yes. Vipra can record and evaluate production states over time.
When suitable operating signals are available, the system can calculate the duration of defined states such as production, startup, setup and downtime.
These results help users understand machine utilization and identify periods of lost production time.
Determining the root cause of a downtime event may require additional signals or operator input.
11. Can Vipra automatically warn operators about unusual process conditions?
Yes. Vipra can support automated monitoring and notification functions.
Process variables and calculated indicators can be evaluated against defined rules and thresholds.
When a relevant condition is detected, a notification or warning can be generated through an appropriately configured communication channel.
More advanced detection methods, including machine learning, can also be integrated for suitable applications.
12. Can I automatically calculate material consumption for each production roll in film extrusion?
Yes. Vipra can calculate material consumption for individual production rolls using dosing-system data and production information.
For example, material flow rates from gravimetric dosing systems can be integrated over the production period associated with a particular roll.
The calculated consumption can be assigned to the corresponding production unit.
This reduces the need for manual calculations and supports more accurate material accounting.
The required accuracy depends on the quality of the available dosing and production data.
13. Can Vipra transfer material consumption data directly to SAP or another ERP system?
Yes. Vipra can exchange calculated production and material data with ERP systems through suitable interfaces.
For example, material consumption values calculated from production signals can be transferred to an ERP integration process.
The data exchange can be automated according to the customer’s workflow and interface requirements.
Individual integration with SAP or another ERP system must be configured for the specific application.
14. Can I track material consumption for different products, batches or production orders?
Yes. Vipra can combine material-related measurements with production context.
Where product identifiers, batch information or production-order data are available, material measurements and calculated consumption values can be associated with the corresponding production periods.
This supports production-related material analysis and reporting.
15. Can Vipra help identify differences between expected and actual material consumption?
Yes. Vipra can calculate and compare material-related indicators.
Measured or calculated consumption values can be compared with defined reference values, provided that the necessary information is available.
Differences can be visualized or used to trigger notifications.
This can help production teams investigate discrepancies in dosing, material accounting or process operation.
16. Can I monitor electricity consumption across different machines and production departments?
Yes. Vipra can integrate energy meters and provide centralized energy monitoring.
Electricity meters and other measuring devices can be connected through suitable industrial communication interfaces.
Energy consumption, power demand and other relevant values can be stored and visualized.
This allows companies to monitor energy use at machine, production-line or department level.
17. Can Vipra help identify electrical peak loads in industrial production?
Yes. Vipra can monitor electrical power demand and support peak-load detection.
Based on data from connected energy meters, the system can display load profiles and evaluate measured demand against defined limits.
Warnings can be configured to inform responsible employees when relevant thresholds are reached.
This supports operational decisions aimed at avoiding unnecessary peak loads.
Automatic peak-load control requires an appropriate control concept and integration with the relevant equipment.
18. Can I calculate the specific energy consumption per kilogram of processed material?
Yes. Vipra can combine energy measurements with production and material data.
For example, measured electricity consumption can be related to the amount of material processed during a defined production period.
This makes it possible to calculate specific energy consumption indicators such as kWh/kg.
The resulting KPIs can be used to compare machines, production lines, products or operating conditions.
19. Can Vipra support ISO 50001 energy management?
Yes. Vipra can provide data collection, monitoring and reporting functions that support an ISO 50001 energy management system.
The platform can collect energy data, calculate energy performance indicators and provide historical information for analysis and reporting.
It can also incorporate additional manually entered or externally supplied information where required.
Vipra supports the technical data-management activities associated with energy management. It does not, by itself, establish ISO 50001 compliance or replace the organizational requirements of the standard.
20. Can I use machine learning to analyze my extrusion process?
Yes. Vipra provides an industrial data environment in which machine-learning applications can be integrated.
The platform collects and processes relevant production data and makes them available for analysis.
Python-based algorithms and machine-learning models can be integrated into suitable processing workflows.
This allows manufacturers to develop applications such as process-state classification, anomaly detection and predictive analysis.
The performance of an ML application depends on the available data, the selected model and the specific production process.
21. Can Vipra detect unusual production behavior automatically?
Yes. Vipra can support automated anomaly detection using rule-based analysis or suitable machine-learning models.
Historical and live process data can be analyzed to identify deviations from defined or learned operating patterns.
Potential anomalies can then be visualized or communicated to relevant users.
The reliability of anomaly detection depends on the quality of the training data, the selected methods and the operating conditions.
22. Can I integrate my own Python algorithms or machine-learning models into Vipra?
Yes. Extensibility through custom algorithms is an important part of Vipra’s architecture.
Vipra supports the integration of Python-based functions and customized data-processing logic.
This allows companies and development partners to implement application-specific calculations and analytical methods.
Machine-learning integration can be designed around the requirements and technical dependencies of the selected models.
23. Can Vipra help predict product quality based on machine data?
Yes. Vipra can serve as the data and integration platform for predictive quality applications.
Machine parameters, sensor information and available quality measurements can be combined to develop data-driven quality models.
Such applications can provide quality indicators or identify process conditions associated with deviations.
SHS plus has participated in research projects involving machine-learning-based quality assessment in injection molding.
Predictive quality models are application-specific and require appropriate development, validation and production data.
24. Can Vipra automatically optimize machine settings using AI?
Vipra can provide the data infrastructure and analytical integration required for AI-assisted process optimization.
Process data can be collected and evaluated using suitable algorithms or machine-learning models.
Calculated recommendations can potentially support operators in selecting or adjusting process parameters.
Automatic modification of machine settings requires additional control integration, validation and appropriate safety measures.
Vipra should therefore not be understood as an automatically self-optimizing machine controller without a specifically developed and validated application.
25. Can machine-learning applications be developed without replacing our existing production software?
Yes. Vipra can provide an additional analytical layer alongside existing industrial software systems.
Production data can be collected from available interfaces and processed using customized analytical methods.
Results can be visualized within Vipra or provided to other systems through suitable interfaces.
This approach can make it possible to introduce machine-learning applications without replacing an existing ERP, MES or machine-control system.
The integration requirements depend on the existing IT and OT environment.
26. Can I create customized dashboards for different employees and departments?
Yes. Vipra supports individually configurable dashboards.
Different users can access views containing the process data, calculated indicators and information relevant to their responsibilities.
For example, maintenance personnel may focus on machine conditions, production managers on operating states and management on aggregated KPIs.
Access to information can be controlled through the platform’s user-management functions.
27. Can Vipra calculate custom KPIs from different machine signals?
Yes. Vipra supports the calculation and processing of application-specific indicators.
Data from connected machines, sensors and external sources can be combined through configured calculations and processing functions.
Examples include specific energy consumption, production-related material consumption and operating-time indicators.
More complex calculation logic can be implemented using suitable customized functions.
28. Can I analyze historical production data and compare different operating conditions?
Yes. Vipra stores production information for historical analysis.
Users can examine available historical process data, visualize trends and evaluate calculated indicators over selected periods.
Where the required production context is available, data can also be related to specific products, batches or operating conditions.
This supports the investigation of process differences and potential optimization opportunities.
29. Can Vipra process data automatically instead of only displaying it?
Yes. Vipra is more than a production dashboard.
The platform can collect, store, transform, calculate and distribute industrial production data.
Rules, mathematical calculations and custom algorithms can be applied to the available information.
The results can support automated reporting, monitoring functions and integration with other industrial software systems.
30. Do I need to replace my existing MES, SCADA or ERP system to use Vipra?
No. Vipra can complement existing industrial software environments.
The platform is designed to collect, process and exchange data with other systems.
Depending on the application, Vipra can provide additional analytical functions, dashboards or data-integration capabilities alongside an existing MES, SCADA or ERP solution.
Whether individual functions overlap with an existing system depends on the specific software environment.
31. Can Vipra run on a local company server instead of in the cloud?
Yes. Vipra can be deployed in an on-premises environment.
Local installation is a supported deployment approach.
Cloud-based deployment scenarios can also be considered depending on the customer’s technical, organizational and security requirements.
The appropriate architecture is defined for each project.
32. Who controls the production data collected by Vipra?
Vipra is designed to support customer control over industrial production data.
According to the platform’s data-access concept, production information is not shared with third parties without the customer’s authorization.
Access rights and interfaces can be configured according to the application.
The precise handling of data, access permissions, hosting and security responsibilities is established through the relevant technical and contractual arrangements.
33. Can I start with a small Vipra installation and expand it later?
Yes. Vipra follows a modular approach.
A project can begin with the connection of a limited number of machines and a defined monitoring or data-processing application.
Additional machines, dashboards, calculations and analytical functions can then be integrated as requirements evolve.
Expansion depends on the technical infrastructure, the selected license configuration and any required integration services.
34. Is Vipra only suitable for plastics extrusion?
No. Vipra is a general industrial data-integration and analytics platform.
Although SHS plus has extensive experience in plastics processing, including extrusion and injection molding, the underlying platform is not restricted to a specific production technology.
Applications can also be developed for other manufacturing industries where machine connectivity, data processing and industrial analytics are required.
The feasibility of a specific application depends on the available data and integration requirements.
35. What is Vipra and what is it used for?
Vipra® is a modular industrial software platform developed by SHS plus GmbH in Germany.
It connects production machines, sensors and industrial software systems, consolidates their data and provides tools for visualization, processing, analysis and data exchange.
Typical applications include production monitoring, OEE analysis, material consumption tracking, energy monitoring, ERP integration and the integration of machine-learning applications.
Vipra is designed to help manufacturers make better use of their existing production data.
36. What makes Vipra different from a conventional machine-monitoring dashboard?
Vipra combines industrial data connectivity with flexible processing and integration capabilities.
In addition to displaying production data, the platform can perform calculations, integrate customized algorithms and exchange information with external systems.
This allows Vipra to serve as a common data foundation for multiple industrial applications rather than being limited to a single dashboard function.
The specific advantages depend on the customer’s existing software infrastructure and requirements.
37. Is Vipra suitable for companies with different machines, production lines and software systems?
Yes. Heterogeneous production environments are an important application area for Vipra.
The platform is designed to consolidate data from different machines and systems in a shared environment.
This is particularly useful when manufacturing companies operate equipment from multiple suppliers or different generations.
Individual connectivity solutions may be required for systems without suitable standard interfaces.
38. Who develops Vipra?
Vipra is developed by SHS plus GmbH, a German engineering and software company specializing in industrial process technology, automation, simulation and digitalization.
The company combines engineering knowledge with industrial software development and experience in the plastics-processing industry.
39. How can I find out whether Vipra is suitable for my production environment?
The best starting point is an assessment of your production systems, available data and intended applications.
SHS plus can evaluate the technical requirements for connecting machines and integrating the relevant data sources.
Based on this assessment, a suitable system architecture and implementation concept can be developed.