Supercharge your production line with automated anomaly detection
Unlocking production potential through AI-powered data evaluation
Experience the cutting-edge power of machine learning through our intuitive, self-service user interface. Say goodbye to the need for data science expertise and hello to seamless data analysis from your operations. Effortlessly create AI models that proactively detect equipment wear, component fatigue, and process anomalies before they turn into costly problems.
Don’t just keep up with the competition – outpace it with AI.PLANTMIND™. Your path to a smarter, more efficient manufacturing process.
Foresee and prevent potential disasters – tailored specifically for production companies.
Struggling to stay ahead?
Continuous optimization is key to staying competitive.
Without the ability to constantly innovate and improve, production companies risk falling behind their competitors. With anomaly detection, companies gain a powerful tool for driving continuous improvement and staying ahead of the curve. By leveraging advanced analytics and predictive capabilities, AI.PLANTMIND™ empowers you to identify inefficiencies, reduce downtime, and optimize production processes for maximum efficiency and competitiveness.
Counting the cost of downtime
Proactive solutions to minimize disruptions.
Downtime is the bane of any manufacturing business, draining resources and impacting profitability. With the right tools in place, companies can mitigate the impact of unplanned maintenance and production stoppages. AI.PLANTMIND™ offers a proactive approach to downtime management, enabling you to identify and address potential issues before they escalate into costly disruptions.
Striving for excellence
Achieve top-tier production quality with AI insights.
In today’s fiercely competitive market, excellence isn’t just desirable – it’s imperative for survival. Enter anomaly detection: AI.PLANTMIND™ is a game-changing product designed to empower production companies with unparalleled insights and control over their processes. With anomaly detection, you can elevate your performance, surpass industry standards and set new benchmarks for success.
Kickstart your AI.PLANTMIND™ journey
Train the normal state of your production systems. The AI Wizard guides you through the configuration process in 5 simple steps.
Monitor your production systems in near real time. The detected anomalies trigger follow-up processes.
Fields of application
Pattern recognition identifies areas in the process that can be optimized to reduce the number of production rejects. The system also detects potential safety risks and alerts operators to take safety measures. For example, deviations in temperature or pressure values can be detected, indicating a potential fire or explosion hazard before an incident occurs.
Industriezweige
Tool manufacture
Production engineering
Packaging
Automotive engineering
Electronics
Cement industry
Dairies
and much more.
data
Oscillation/ vibration
Temperature
Pressure
Torque
Voltage
Compressed air
Electricity
CO2
Your advantages with AI-driven monitoring
Real-time monitoring 24/7
Continuous monitoring of critical production parameters. Continuous optimization through self-learning AI.
Longer lead times
Detection of deviations at an early stage. Maintenance can be planned and carried out with more lead time.
Increase in OEE
Improved performance through increased system availability and cost reductions through optimized service processes.
Industrial systems for anomaly detection can provide early warning of potential system failures or process deviations. Data from various sources can be analysed, e.g. sensor readings, production data and maintenance data, to register patterns and anomalies that indicate an emerging problem.
By identifying potential problems at an early stage, production facilities can take proactive measures to prevent system failures and minimise downtime. This can lead to significant cost savings as well as improved efficiency and productivity.
In addition, pattern recognition can identify areas in the production process that can be optimised to reduce waste, resulting in improved product quality, lower costs, improved performance and increased competitiveness.
The system can recognise potential safety risks, alerting operators to take safety measures. For example, deviations in temperature or pressure values can be detected that indicate a potential fire or explosion hazard before an incident occurs.
Anomaly detection in production: Features
In best company: our successful customers
Let's shape the future together..
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