Software at a Glance
The scalable core software in measuring value acquisition
Measuring from the beginning
Historical data available immediately
Length-based Quality Data in Meter Resolution
Display of Quality Data - Live and in Color
The powerful analysis software - flexible and free of charge
Automatic post-processing of measurement files
Automated generation of reports
Integration of basic process data into the production and quality management
With ibaDaVIS, you can visualize and analyze measurement, process and quality data in a web-based way. ibaDaVIS uses state-of-the-art web technology to connect user clients to the back-end server. All standard web browsers and platforms like Windows, iOS and Android are supported.
ibaLogic is a system for signal processing and automation. The fifth generation of the ibaLogic system, which already functions reliably in many industrial applications, has been programmed in a new way and provided with an up-to-date interface.
Areas of Application
It is our mission to bring transparency to the world of industrial production, power generation and energy distribution plants. Using an iba system, you can be sure that your plants and machines are captured 360° and every single process within can be 24/7 seamlessly recorded and made visible.
Failures in automated systems can lead to production downtime and inferior quality. Failure mode analysis is easily achieved for maintenance personnel that have access to the archived data.
Process analysis is made easy with an iba system. Being able to quickly and efficiently analyze process data is vital to process optimization.
For documenting automated production systems and processes, quality data characteristics and calculated analytical values need to be stored in a reliable quality management system.
Measuring and monitoring electric power quality is a crucial tool for energy producers, grid operators, and consumers alike.
Condition Monitoring Systems (CMS) use vibration measurement in combination with intelligent analysis procedures to detect wear and tear on mechanical components at an early stage.
The acquisition of measurement data in machines and plants is a basic prerequisite for your digitalization strategy.