Improve industrial processes - data-driven and foresighted to unlock the full potential of your data. Artificial intelligence helps processes, machines and technical equipment to achieve maximum efficiency. Welcome to Smart Factory!
Increase plant efficiency
Maximise process output
Reduce production costs and downtime
Avoid peak loads
Increase product quality
processControl constitutes the predictive control optimizisation for:
- Compressed air systems
- Supply and disposal networks
- Raw material processing processes
- Process engineering plants (e.g. waste incineration power plant, biomass power plant)
More than just process monitoring...
With Recogizer's IoT Analytics platform, consumers and data are recorded in a structured manner and can be linked to an ERP system.
...take proactive control.
Implement resource-conserving and predictive controls: Based on the learned patterns, in combination with information about incoming orders and production plans.
One step ahead with Machine Learning
Taking all available information into account, adjustable set points are dynamically controlled by Machine Learning algorithms to optimize operations. Example: Reduce energy consumption costs on the basis of your framework conditions.
Our engineers support you with their expertise and domain knowledge to define your individual parameters, to ensure the Control Policy is always tailored to your requirements.
For a fully automatic application, indicators are necessary according to which our intelligent system can plan, e.g.
- Production schedules
- Resource prices
- Quality of raw material
- Delivery dates
- Production costs
- Climate control targets
- Weather condition
- Automated control (model-based control actions)
- Prognosis-based, adaptive optimization strategy
- Continuous adaptation of the Control Policy to the physical operation
- Customized solutions for individual requirements
- Transparency through Condition Monitoring
- IoT-Analytics platform architecture as integrative component and foundation
This is how ProcessControl works:
- The basis form measurement- and operating-data of your production.
- Intelligent algorithms learn the individual behavior of the process (Digital Twin).
- The virtual image is continuously fed with forecasts about exogenous factors affecting process and time series of the relevant Control Actions.
- A Control Policy is learned based on the resulting predictions.
- The model now controls the process automatically--within your specified guidelines.
Example: Compressed Air
processControl provides plants with an optimized Control Policy. The virtual image of the physical system, a so-called Digital Twin, learns the effective operating behavior in different production and order situations. The Digital Twin is continuously fed with forecast information that will influence the process, keeping the system automatically optimized.
With processControl, demand in base load operation is met – fully automated. The pressure is dynamically adapted to the actual consumption and no longer kept at a constant level.
Outcome: Significantly reduced energy costs for the most expensive energy source.
Our solutions are also available at MindSphere Marketplace through our industry partner SIEMENS.
Are you ready for Smart Factory?
Get in touch.
- +49 228 299 745 99