We have over ten years of experience in forecasting failures of technical equipment. Our solutions have proven themselves in power plants, district heating networks, metal production, mines, pharmaceutical and chemical plants over and over again.
Mathematical models based on AI can be used to detect and prevent imminent damages at an early stage. Depending on the application, 30 to 80 % of unwanted downtimes can be avoided.
Structured Utilization of Data
Quick and barrier-free access to your data.
Combining Human with Artifical Intelligence
The AI learns continuously and in real time from the reactions of users.
Continuous Improvement of Operations
Advice generated by the AI helps to better understand plants and processes.
Leaner Maintenance Procedures
Reduce preventive and reactive measures.
Prevention of Secondary Damages
Detect hidden problems and avoid major failures.
Increase of Availability & Quality
Eliminate common sources of problems and poor control.
In which industries does the use of AI bring the greatest success?
In general, AI is suitable for monitoring and improving plants and processes in any industry. Currently, our solutions are used in power generation (cogeneration, nuclear, waste, hydro), pharmaceutical, metal, chemical, aviation, pulp and paper. The crucial point is the availability of continuous process data on which the AI is built.
Do I need to purchase new sensors or other hardware?
Our solutions uses existing data recordings or sensor values. These form the basis for the implementation. Data can be obtained and merged from all relevant sources. In the course of projects it may turn out that additional measuring points are advantageous, but this is only a second and optional step.
How is data security ensured?
All data is processed either in our own data center or in a private cloud with ISO 27001 certification. Either in Germany or France.
All processes are specially designed for industrial applications to satisfy the highest safety requirements. In cooperation with customers, all safety measures are regularly reviewed.
How long does the implementation take?
Usually there are only a few weeks between the start of the project and the full availability of the solution. As soon as the data exchange has started, the first results are available within a few days.
The roll-out process follows an established procedure. First, the data is structured together with the customer and a data interface is created. Then we start with the mathematical modeling and user trainings begin in parallel. During the first weeks, our experts provide close support.
How is the data transferred?
The actual solution is highly dependent on the industry, but there is a proven, robust solution for every situation. Data can be transferred as a comma separated file (CSV) or via a protocol or procedure such as MQTT, OPC-UA, Rest API etc. A connection to a cloud storage is also possible.
Additionally, we have a network of cooperation partners who provide solutions for special cases and can also establish a secure and stable data transfer in complicated cases.
What resources and skills do we need for a successful deployment?
We handle the setup of the AI based on your data. For this purpose we conduct a workshop to clarify the crucial points. We then support you in rolling out the new capabilities in your company through training and regular online meetings. After a short learning phase, the time required to operate the web interface takes about 15 to 30 minutes daily. During this time, warnings and hints of the AI are reviewed and evaluated.
No special mathematical knowledge or experience with AI is required.
How can we best approach AI and predictive maintenance as topic in our company?
Based on existing data, important insights can often be obtained without creating an interface for online data. Problems from the past can be analyzed and the first improvements can be implemented in processes.
All in all, our AI is structured in such a way that it delivers good results with only a little data. This also makes it easy to achieve continuous data analysis in a timely manner without the need for real-time data connection.
Arrange a free consultation or request further information.
Louis von Beaulieu
Would you like to learn more on how your company can benefit from the application of mathematical technologies and what the benefits you can expect in your specific case?
Phone: +49 160 90 83 97 56
Talk to an Expert
Do you have a specific question? Then contact an expert directly:
Dr. Sebastian Feller
Co-founder of mi Solutions and expert in the successful implementation of Predictive Maintenance and Advanced Analytics solutions.
Phone: +49 179 3 17 32 25