Maintain with foresight, save costs!
For readers in a hurry:
- Efficient maintenance processes thanks to AI: Find out how our predictive maintenance solution minimizes machine downtime and significantly reduces maintenance costs.
- State-of-the-art technologies in use: Azure Machine Learning, scalable cloud services and IoT integration ensure a future-proof and reliable system.
- Simple integration and intuitive operation: Use our AI-supported app for real-time monitoring and decision support - perfectly integrated into your existing systems.
- Long-term optimization of your production: Maximize the availability of your systems and increase efficiency and productivity in the long term.
Downtime, high maintenance costs and unforeseen machine problems can bring production processes to a standstill. With Business Automatica's Predictive Maintenance (PdM) solution, you can revolutionize your maintenance strategy: thanks to state-of-the-art technologies such as Telefónica IoT Hub KITE, Azure Machine Learning, the scalable O2 Business Automation integration platform and a user-friendly graphical interface, we offer a solution that is precise and cost-efficient - tailored to your needs.
From the functional requirement to the technically perfect solution
The basis of every predictive maintenance solution is an understanding of the raw data and its impact on fault conditions or maintenance requirements. Together with you, we record this correlation, formalize it and transfer it into a highly automated solution. Instead of regular on-site inspections of your systems and machines, our PdM solution proactively tells you when maintenance is due or when a defect is imminent.
In addition, we can visualize any other data from your machinery and plant and incorporate it into our solution. What previously had to be laboriously recorded or evaluated manually or through time-consuming on-site visits is now transferred fully automatically and in real time to any end device or application (ERP, DCS, MFA, MES, etc.). This turns your data into actions and your actions into financially noticeable cost savings.
Predictive maintenance app - AI-supported, intuitive solution
Our user-friendly application uses artificial intelligence to monitor the condition of your machines in real time and identify maintenance needs at an early stage. A visual representation of condition categories (green, yellow, red) facilitates decision-making for everyone involved - from technicians and engineers to management. A particular advantage is that we ensure competitive pricing due to cost-efficient technology development, so that companies of all sizes can benefit. In addition, the PdM app enables seamless integration into your existing ERP, BI and production control systems so that data can be transferred efficiently and used in familiar applications. There is almost no learning curve.
Discover the numerous benefits and find out how easy it is for you to start with predictive maintenance to benefit from optimized maintenance processes over the long term.
IT system structure - state-of-the-art technologies in use
The setup of our PdM solution is based on the Azure Machine Learning (ML) stack and was realized within just one month thanks to our experience. By continuously monitoring sensor data in combination with advanced analysis methods, we maximize the availability of your systems and reduce costs at the same time. The architecture includes the following key components:
- Data integration: With the Telefónica IoT Hub KITE, sensor data from your machines is continuously collected via various networks - such as IoT 5G, WLAN or LAN.
- Data storage: The collected data is stored securely and scalably in Azure Data Lake Storage.
- Data preparation: With the help of Azure Databricks, the raw data is normalized, checked for errors and prepared for analysis.
- Model development and training: Azure Machine Learning is used to develop and train precise learning models that enable reliable predictions to be made about the status of individual machine components.
- Automation: Thanks to the seamless integration of Azure components, the entire process - from data collection to forecasting - is automated, ensuring efficient and continuous monitoring.
This modern architecture offers you a reliable and scalable basis for monitoring your systems optimally at all times and reacting proactively to changes. You can find out more about the technical setup and the framework conditions of our demo example here.
Scalable and cost-efficient cloud services
Our PdM solution uses highly scalable cloud services that have been put together efficiently and economically. Thanks to flexible cloud resources, companies can react dynamically to changing requirements while benefiting from maximum availability and security.
Our PdM solution adapts to your needs - regardless of company size or sector. Thanks to our specialized development and optimization, we can implement a pricing structure that also makes it easy for small and medium-sized companies to get started.
With our automation solutions, we take your company to the next level. Contact us to find out how you can save time and money with our technologies!
Conclusion
Business Automatica's predictive maintenance solution is based on a combination of a data-driven approach and state-of-the-art software technology. By using the Azure Machine Learning Stack, developing an AI-optimized graphical application and using scalable cloud services, we ensure that our solution is both technically advanced, future-proof and economically attractive.
Find out more about our PdM solution and how it can be used in your company:
About Business Automatica GmbH:
Business Automatica reduces process costs by automating manual activities, increases the quality of data exchange in complex system architectures and connects on-premise systems with modern cloud and SaaS architectures. Applied artificial intelligence in the company is an integral part of this. Business Automatica also offers automation solutions from the cloud that are geared towards cyber security.
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