The VirtualBench All-in-One Instrument combines a mixed-signal oscilloscope with protocol analysis, an arbitrary waveform generator, a digital multimeter, a programmable DC power supply, and digital I/O. The all-in-one features are simple, convenient, and provide more efficient circuit design, debugging, and validation.
All Q.series X DAQ systems possess the same measurement capabilities and performance, regardless of form factor.
All electrical, mechanical and thermal parameters can be measured with dedicated Q.series X modules. They can be easily combined and extended. Data streams with different sampling rates can be merged together for efficient post-processing.
All Q.series X DAQ systems possess the same measurement capabilities and performance. The main differentiating factor between the XL and XE versions of Q.series X is the Fieldbus communication protocol, which can be interchanged on Q.series X modules using a simple firmware update.
The Q.series XE Bus Coupler connects Q.series XE measurement modules designed for industrial and experimental testing to EtherCAT networks. Q.series XE products are exceptionally well suited for performing highly synchronized, multi-channel electrical, mechanical, and thermal signals measurements on engine and component test rigs and long-term process monitoring applications in EtherCAT networks.
Q.monixx is a new addition to the Q.series product family – the ideal edge computing and data logging solution for reliable process control and asset monitoring. The standard I/O configuration for the Q.monixx includes up to eight universal analog inputs, eight digital inputs, four digital outputs, two relay outputs, and eight serial channels for communication. Also included are four data loggers for parallel data acquisition to either local storage or a GI.cloud storage solution for easy accessibility, additional analytics, and detailed diagnostics. You can also host third-party apps on the device.
The Q.core is Gantner’s new product innovation towards a high-performance streaming data architecture for testing & measurement, asset monitoring, and AI applications. Streaming data architectures are frameworks of software components built to process extensive data from multiple sources.