The ASCon Digital Twin Product Suite is the central hub for all process, plant, production and building information, which is provided throughout the entire value-added process in real time and in the respective context. It supports all internal and external process participants in process and quality monitoring, compliance with and analysis of process-determining parameters as well as AI-supported decision-making and optimization.
Different customer groups - one goal: Assisted Production
Production manager
Production employees
Plant operator
Quality assurance
Maintenance
Not included? We are looking forward to meet you!
Key element for intelligent and transparent real-time information and analysis
No-Coding
Configuration instead of programming: Model kit for process modelling, device connection, system integration
Smart
Unique and pre-processed data structure for the efficient use of integrated AI services
Disruptive
Disruptive approach: manageability and executability of context-related mass data in real-time
Integrative
Networking and integration of the existing heterogeneous IT system & hardware landscape
Transparency & access in real time
From start-up to steady state, the ASCon Digital Twin Product Suite helps you to analyze your value-added processes in their respective context (e.g. product, process and plant) in a consistent data model quickly, efficiently and holistically.
With our digital services you monitor, analyze and control your production and create an efficient ecosystem of modular, powerful and intercommunicating apps for assisted production. Together with our customers, we are already laying the foundation for autonomous planning in the future.
Transparency & access in real time
From start-up to steady state, the ASCon Digital Twin Product Suite helps you to analyze your value-added processes in their respective context (e.g. product, process and plant) in a consistent data model quickly, efficiently and holistically. With our digital services you monitor, analyze and control your production and create an efficient ecosystem of modular, powerful and intercommunicating apps for assisted production. Together with our customers, we are already laying the foundation for autonomous planning in the future.
Business features of our software solution
With the help of the ASCon Digital Twin Product Suite, all signals, sensor data, information and conditions of your production related to the specific business process are captured in real time and persistently stored in digital files. This means that the entire history of the processes in the complete value creation context is available at all times for monitoring, analysis and evaluation with the aid of artificial intelligence. In addition, the Digital Twin supports during ongoing operations in maintaining process, plant, production and quality parameters or in adhering to defined process sequences.
The ASCon Digital Twin Product Suite is multi-cloud-enabled and runs both On Premise, hybrid and, where signal and process runtime requirements allow, in the cloud.
Condition Monitoring
- Visual representation of the overall plant status in context (environment, product, plant, process) with parameter monitoring
- Display of connected system parameters including the respective standard value ranges
- Determination of parameter anomalies, which e.g. lead to a plant shutdown
- Application of different AI analyses, e.g. early detection of creeping deviations
- Suggestion of corrective actions
Condition Monitoring
- Visual representation of the overall plant status in context (environment, product, plant, process) with parameter monitoring
- Display of connected system parameters including the respective standard value ranges
- Determination of parameter anomalies, which e.g. lead to a plant shutdown
- Application of different AI analyses, e.g. early detection of creeping deviations
- Suggestion of corrective actions
Process & product quality measurements
- Monitoring of production processes at plant, line and factory level
- Determination and monitoring of individual process statuses
- Detection of anomalies, which can be relevant to NIO, for example
- Display and search for anomalies and error messages on the basis of historicized and contextualized data in the digital file (live and retroactive)
- Application of different AI analyses, e.g. predictive analyses, neural network (ML) for quality assessment
Key impacts of Assisted Production
Flexibility & Versatility
Flexible new and replanning of production lines and short-term adaptability of material and parts supply.
Process & productivity optimization
Increase of plant availability and optimization of production processes through predictive and preventive maintenance.
Ramp-up protection
Increase of the direct run rate and protection of ramp-up curves through a fast, self-learning system.
Real-time data analysis & simulation
Persistent data storage in context creates transparency and is the basis for Smart Data Analytics (e.g. deep learning, predictive solutions).
Quality optimization
Digital Twin based, real-time quality management in cycles (Q control loops) to improve the audit score and avoid rework.
Cost savings
Reduction of interface, application, hardware and service costs through an open, duplicable standard solution.
Our Use Cases
Get to know our Use Cases and discover the advantages of our solutions.
Predictive Quality AssistantCondition Monitoring Assistant
Every day counts, the applicable result is what counts
Do you have questions or are you interested in a product demonstration?
Your contact person
Oliver Browa,
Key Account Manager
Contact us
