HOERBIGER is a global technology company developing components and system solutions for the process industry, energy, automation, and mobility sectors. During the development of new machines and industrial systems, gaining reliable insights into operating conditions, sensor data, and process behaviour is essential for effective analysis and continuous improvement.
Yet real-time data alone rarely tells the full story. To understand system behaviour and identify opportunities for optimization, engineers also need access to historical data. How have key parameters evolved over time? When did an anomaly first appear? Which operating conditions led up to a specific event?
To gain these insights quickly and efficiently, HOERBIGER relies on hopit Edge from HEAP Engineering.
Turning Data into Actionable Insights
hopit Edge collects selected data directly from the TwinCAT control system and processes it locally at the machine using edge computing technology. Sensor readings, machine states, and operational counters are stored and presented through intuitive dashboards, providing immediate visibility into machine performance.
By combining live and historical data, engineers can identify trends, detect anomalies at an early stage, and better understand the relationships between different process variables. Just as importantly, the operational and time-based context of the data is preserved, making analyses more meaningful and significantly improving traceability, transparency, and root cause investigations.
Another key advantage is the minimal setup effort. Relevant variables can be connected, recorded, and visualized without the need to develop a dedicated monitoring application. Dashboards and monitored data points can be adapted quickly to different machine types and development stages, giving engineering teams the flexibility they need throughout the product lifecycle.
Faster Troubleshooting and Shorter Development Cycles
With transparent access to machine and process data, HOERBIGER can investigate issues more efficiently and make better-informed engineering decisions. The continuously available history of operating states and process parameters provides valuable context for troubleshooting and supports systematic optimization efforts.
As a result, HOERBIGER benefits from:
- Greater visibility into machine and process behaviour
- Faster identification of root causes and anomalies
- Reduced effort for data collection and analysis
- Accelerated optimization and development cycles
- Faster progression from prototype to production-ready systems
By implementing hopit Edge, HOERBIGER has established a scalable foundation for condition monitoring and data-driven development directly at the machine level. The solution enables engineering teams to gain deeper insights into system behaviour, shorten analysis cycles, and continuously improve machine performance throughout the development process.