Data analysis and AI
Intelligent analyses for data-driven decisions
Competitive advantage through data analysis & artificial intelligence
Take your processes to the next level with intelligent data analysis and AI: large volumes of data are turned into targeted, usable insights for better decisions, more precise forecasts and measurable increases in efficiency.
Our solutions combine modern AI technologies with a deep understanding of the industry. This results in tailor-made analyses that not only map the current situation, but also reveal potential. Use your data strategically – for forward-looking planning, optimized use of resources and greater innovative strength.
What can data analysis do?
Smart Data
Industrial systems generate huge amounts of data. Smart Data filters out the information that is really relevant for optimization, early fault detection and planning. Through context-based selection, we reduce computing power, storage requirements and bandwidth while increasing efficiency.
In combination with AI in an industrial context, intelligent, forward-looking solutions are being created for the industry of tomorrow.
Smart data and retrofitting
Smart data is a key success factor when retrofitting existing systems with sensor technology. Compact, smart and, if required, energy-autonomous sensors enable a targeted selection of relevant measuring points – even before costly conversions are required.
Even in a short preliminary study, our modular measurement technology can be used to optimize investments and avoid unnecessary interventions in the existing system. This allows you to create a data-supported basis for efficient retrofitting.
Error and anomaly detection with AI
Artificial intelligence automatically detects anomalies, creeping changes and error states in industrial systems – for example by analyzing vibrations, temperatures or process indicators. Condition-based analysis, pattern recognition and learning models allow faults to be predicted at an early stage. This results in adaptive monitoring systems with a high level of automation and maximum operational reliability.
A practical example: our early fault detection for injection molding machines.
AI-supported data analysis in edge/cloud systems
With the option of implementing AI-supported data analysis either locally on the machine (edge) or centralized in the cloud, particularly efficient solutions for industrial applications can be achieved. Edge computing offers the advantage of responsive, low-latency processing directly on site, while cloud solutions provide powerful computing capacities for extensive models. The combination of edge intelligence and cloud scalability creates the basis for highly efficient, economically optimized industrial processes.
Your benefits with data analysis and AI through LCM
Efficient decision-making
Our data analysis makes it possible to gain clear and actionable insights from large and complex amounts of data. These insights support you in making informed decisions that enable you to optimize processes and increase efficiency. Objective, data-based information forms the basis for an effective corporate strategy.
Resource and cost optimization
Data-based analyses and AI-supported automation allow resources to be used more efficiently and costs to be reduced. Bottlenecks in processes are identified and eliminated at an early stage. The result is better use of resources, lower operating costs and higher profitability.
Efficient implementation
Our strategy for implementing AI algorithms directly on the edge includes the customized integration of AI solutions on small, cost-effective components with low computing and storage capacity, such as microcontrollers or single-board PCs.
Forecasting and risk minimization
With the help of AI algorithms, we can predict future trends and potential risks. With the help of predictive analytics, we can react to changes at an early stage and take proactive measures. This minimizes downtime and enables stable long-term planning.
Erwin Schimbäck
Business Area Manager Sensors & Communication
We have already implemented these data analysis and AI projects
Early fault detection for all injection molding machines
Early fault detection for all injection molding machines Reduction of machine downtimes By detecting anomalies in injection molding machines at…
Condition monitoring of cutting processes
Condition monitoring of cutting processes Quality assurance in fiber production Lenzing produces a wide variety of fibers from the raw…
Measurement of hairline cracks using deep learning
LCM uses deep learning to precisely detect and measure hairline cracks on steel strips, even with large amounts of data and artifacts.
