EVORIS for the forming industry
Smart digitalization of complete forming plants
With EVORIS, Dieffenbacher has developed a new approach to the digitization of hydraulic press systems and complete plants. EVORIS brings AI to your plant in an intuitive way. With apps for condition monitoring and process analysis, it provides transparency across the entire plant and makes decision making faster. Processes are improved, machine availability increased and maintenance optimized. The result is higher production capacity and, not least, components of the highest quality.
Attend our webinar and see how EVORIS simplifies your daily business. On October 18, 2022 we are offering two different timeslots
- 09:00 – 10:00 am (CET)
- 03:00 – 04:00 pm (CET)
For more information please visit the webinar website.
The EVORIS platform consists of the iba system, our partner for data acquisition, and the modular, browser-based EVORIS Start Center for your apps. In the iba system, all plant data is collected and processed centrally. All of this information goes into the corresponding apps so that you can gain deep insights into your plant on the intuitive interface of the Start Center. Iba also enables the integration of cameras and camera-based monitoring. Combined with EVORIS Startcenter, this is a solution for total connectivity and transparency. Secure access is possible from any mobile or desktop device within a plant's network.
The Curve Analysis App is the new browser-based analysis standard, which gives you access to all the data of your plant. The App can be used anywhere, even directly at the plant. View configurations can be stored and retrieved; we call this view storage, and facilitate communication between maintenance and service personnel or process managers and machine operators. This app gives you deep insight into your plant and enables highest machine availability.
Increase the productivity of your plant with the Anomaly Detection app. Process and machine data are permanently monitored and deviations from the standard are detected at an early stage. Once learned, the app informs of any deviation from expected production conditions in the current situation. This means immense relief for the plant operator: instead of keeping an eye on hundreds of individual values, the Anomaly Detection app only monitors a single anomaly score. If this score is too high, the app displays the causing signals. React in an early stage and address any problem in your plant in a targeted manner.
Collect valuable data about the total load of machine components with the Component History app. Identify under which total loads machine components have been operated in the past and are currently being operated. This makes it easier to plan the next maintenance or even adjust the scope or timing of maintenance.
The future will include plant-wide hydraulic monitoring, based on anomaly detection, which will increase your preventive maintenance measures to the max. In this way, only the absolutely necessary maintenance measures are implemented. An oil change is an example that clearly shows the benefits. They are a costly part of hydraulic press maintenance. In the past, oil changes were recommended after a certain period of time. With the hydraulic monitoring app, all relevant influences on the aging of the oil and their occurrence will be known. Hydaulic monitoring gives the maintenance engineer a data-based assessment of the current condition, an estimate of the remaining service life and makes maintenance plannable.
- Easy operation due to intuitive, browser based modern user interface
- Maximum operational reliability and performance through separate updates
- Individually designed and saved dashboards with helpful widgets
- Early detection of anomalies
- Highest machine availability for maximum productivity
- Plannability of preventive maintenance activities through maximum transparency
- Faster recognition of complex relations in the production process Easier communication and sharing of analyses results based on view storage
- Accelerated decision-making through simple analysis of complex data
- Better overview of the load on a component over its entire life cycle
- Easier deduction of preventive maintenance measures and energy saving potential
- Simplified troubleshooting and easier estimation of the life cycle of machine components
- AI-based monitoring of the overall hydraulic system
- Plannable maintenance
- Maximum machine availability through early detection of deviations from the standard condition of the hydraulic system
