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 downtime reduced and maintenance optimized. The result is higher production capacity and, not least, components of the highest quality.
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 massively simplifies troubleshooting and shortens machine downtimes.
With the Anomaly Detection app, downtime and production rejects can be avoided by permanently monitoring process and machine data and detecting anomalies at an early stage before quality degradation occurs. 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. You react early and target any problem in your plant.
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, which will increase your preventive maintenance measures to the max. 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. This will provide a data-based assessment of the current condition and an estimate of the remaining service life.
- Modular, browser-based EVORIS Start Center
- Flexible expansion of functions via apps
- Easy operation due to intuitive, modern user interface
- Maximum operational reliability and performance through separate updates
- Time saving through individually designed and saved dashboards
- Easier daily routines through helpful widgets
- Early detection of production deviations
- Fault avoidance through early detection of deviations from the normal condition
- Fewer or shorter production downtimes
- Plannability of preventive maintenance activities
- Easier shift handovers due to more transparency
- Fewer or shorter unplanned downtimes and machine repairs
- Accurate and fast evaluations and error detection
- Easier communication and sharing of analyses results based on view storage
- Recognition of complex correlations in the production process
- Accelerated decisions with saved individual curve analyses
- Faster error detection and cause analysis
- Better overview of the load on a component over its entire life cycle
- Easier estimation of the (service) life of components
- Better deduction of preventive maintenance measures and energy saving potential
- Data-based assessment of the current condition of the plant component and an estimate of the remaining useful life
- Optimization of maintenance measures to a maximum
