Predictive Maintenance, Save Costs!
AI-based predictive maintenance solution: Fewer downtimes, lower costs, and higher efficiency through real-time monitoring.
For those in a hurry
- Efficient maintenance processes thanks to AI: Learn how our predictive maintenance solution minimizes machine downtime and significantly reduces maintenance costs.
- Cutting-edge technologies in action: Azure Machine Learning, scalable cloud services, and IoT integration ensure a future-proof and reliable system.
- Simple integration and intuitive operation: Use our AI-powered 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 equipment and increase efficiency and productivity in the long run.
Downtimes, high maintenance costs, and unforeseen machine issues can bring production processes to a standstill. With the Predictive Maintenance (PdM) solution from Business Automatica, you can revolutionize your maintenance strategy. Thanks to state-of-the-art technologies like 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, cost-efficient, and tailored to your needs.
From business requirements to a technically perfect solution
The foundation of every predictive maintenance solution is understanding raw data and its impact on error states or maintenance requirements. Together with you, we capture these relationships, formalize them, and translate them into a highly automated solution. Instead of performing regular on-site inspections of your equipment and machines, our PdM solution proactively tells you when maintenance is due or when a defect is imminent.
Additionally, we can visualize any further data from your machine and equipment fleet and incorporate it into our solution. What was previously recorded or evaluated manually and laboriously through on-site visits is now transferred fully automatically and in real-time to any device or application (ERP, PLC, MFA, MES, etc.). This turns your data into actions, and your actions into tangible financial cost savings.
Predictive Maintenance App – AI-powered, intuitive solution
Our user-friendly application uses artificial intelligence to monitor the condition of your machines in real-time and identify maintenance needs early on. Through a visual representation of status categories (green, yellow, red), decision-making is simplified for everyone involved – from technicians and engineers to management. A particular advantage is that our cost-efficient technology development ensures competitive pricing, allowing companies of all sizes to benefit.
Furthermore, the PdM app enables seamless integration into your existing ERP, BI, and production control systems, ensuring data is transferred efficiently and utilized within familiar applications. Training requirements are almost entirely eliminated.
IT system architecture – State-of-the-art technologies in use
The architecture of our PdM solution is based on the Azure Machine Learning (ML) stack and was realized within just one month thanks to our expertise. By continuously monitoring sensor data combined with advanced analytical methods, we maximize the availability of your equipment while simultaneously reducing costs. The architecture includes the following essential components:
- Data integration: With the Telefónica IoT Hub KITE, sensor data from your machines is continuously collected via various networks – such as IoT 5G, Wi-Fi, or LAN.
- Data storage: Collected data is stored securely and scalably in Azure Data Lake Storage.
- Data preparation: Using Azure Databricks, raw data is normalized, checked for errors, and prepared for analysis.
- Model development and training: Precise learning models are developed and trained in Azure Machine Learning, enabling reliable predictions regarding the condition of individual machine components.
- Automation: Thanks to the seamless integration of Azure components, the entire process – from data collection to prediction – is automated, ensuring efficient and continuous monitoring.
This modern architecture provides you with a reliable and scalable foundation to optimally monitor your equipment at all times and react proactively to changes.
Scalable and cost-efficient cloud services
Our PdM solution utilizes highly scalable cloud services that have been assembled 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 industry. Thanks to our specialized development and optimization, we can offer pricing that allows even small and medium-sized enterprises an easy entry point.
Conclusion
The predictive maintenance solution from Business Automatica relies on a combination of a data-driven approach and state-of-the-art software technology. By utilizing the Azure Machine Learning stack, developing an AI-optimized graphical application, and leveraging scalable cloud services, we ensure that our solution is technically advanced, future-proof, and economically attractive.
