Condition Monitoring

Humidity measurement captures ambient conditions in the form of relative humidity and its changes over defined time periods. It is used to monitor air conditions even in hard-to-reach or non-visible locations.

Precise diagnostics through vibration analysis. Monitoring bearings or heat treatment furnaces provides early warning signals for temperature deviations or mechanical irregularities. This ensures production quality and prevents damage.

An unstable gas flow can significantly affect the quality of coating or melting processes, for example. IoT-based monitoring systems analyze gas pressure and flow in real time and regulate them dynamically to ensure uniform material distribution and optimal process conditions.

Leakage Detection (Air) Sensors detect air leaks in compressed air systems and machinery. Continuous monitoring enables the localization of losses and the initiation of targeted corrective measures. Leakage Detection (Gas) Sensors identify gas leaks in pipelines and systems. Permanent monitoring supports safe operation and reduces unplanned downtime. Leakage Detection (Water) Sensors detect water escaping from systems and pipelines. Deviations in water flow are identified early to prevent damage and downtime.

Detect damage before it gets costly. Breaks or cable stress occur unexpectedly – with serious consequences for production and asset availability. Condition monitoring systems for break detection continuously monitor critical movements and report the smallest deviations in real time. This prevents consequential damage and enables targeted maintenance planning.

Digital systems for tension and thrust force monitoring detect mechanical anomalies early to prevent downtime and damage. Integrated into machine controls, they enable immediate responses, protecting processes and assets.

Making hidden problems visible. Sensors monitor cables and bolts for wear or defects. Problems are identified in time before they cause greater damage, which increases operational safety.

Sensor technology for gas and pollutant detection (e.g. CO₂, NOx, CH₄, VOC)

Efficient maintenance of filter systems. By monitoring pump and fan systems, maintenance events can be predicted and optimized. Sensors capture the status of filter mats or wear data, enabling proactive planning of service interventions.

Efficiency in warehouse and production. Real-time monitoring of fill levels in tanks or silos enables precise control of production processes. Automatic notifications facilitate reordering and prevent overflows or bottlenecks.

Centralized collection of distributed measurement and status data. Remote reading enables the automated retrieval of operational, status, and consumption data from systems and infrastructure without manual on-site reading.

Cable and chain monitoring detects breaks, abrasion, and structural changes in cables and chain links based on movement anomalies and physical measurements. Parameters monitored include tensile and compressive forces, bending radii, insulation resistance, temperature, current, and vibration events.

Detecting anomalies through noise patterns. Acoustic sensors diagnose wear and malfunctions in machines based on sound patterns. This precise method reduces unplanned downtime and ensures efficient maintenance planning.

Tool wear leads to quality fluctuations and increased scrap in many operations. Many companies use vibration and force sensors that capture wear conditions in real time and enable timely replacement.

With modern sensor technology and smart data analysis, you can detect damage before it escalates. Whether it involves leaks in water pipes, overheating in electrical systems, or mechanical wear – continuous monitoring makes it possible to identify problems early and take targeted action. This not only saves costs but also protects your assets and infrastructure in the long term.

Precise level measurement without maintenance effort! Battery-powered sensors automatically record groundwater levels, for example – even in hard-to-reach areas. The maintenance-free technology enables efficient and reliable data collection.

Digital temperature monitoring for extreme conditions! In our network, we implement IoT-based temperature measurements for steam pipelines – using e.g. LoRaWAN or mioty® sensors that capture temperatures and operate maintenance-free for over 10 years.

Transparency over production performance and runtimes. By capturing pulse counts, cycle times, utilization, and throughput directly at the machine, production processes become continuously measurable. The resulting data provides a reliable basis for analyzing runtimes, downtimes, and performance deviations of individual assets or production lines.