NOV (National Oilwell Vacro) is a global company in the fields of drilling and conveying technology. NOV supports the world’s most advanced drilling solutions in the oil and gas industry.
Here almost 150 measuring channels are used in a test system:
- 10 x IEPE with 5 x Q.bloxx A101
- 24 x current with 3 x Q.bloxx A108
- 12 x Pt100 with 3 x Q.bloxx A107
- 96 x SG with 12 x Q.bloxx A116
- Multiple digital I/Os
The measured data is recorded at a sample rate of 10 kHz. A data logger was configured in the Q.station test controller that records the conditioned and raw data. The recorded data is transferred to a SQL database using the test.node server software.
At present, four test systems are being built; with additional systems being planned. Testing is performed in cooperation with our Danish partner IPC Teknik ApS.
More articles
IPERMON Workshop
Improved photovoltaic (PV) system reliability and lifetime output can be safeguarded by advanced performance monitoring solutions integrated with novel data-analytic features and leverage interoperable communicative capabilities.
Read more...Integrated Video and Data Logging – Enhanced Context and Analytical Depth with GI.bench
When analyzing measurement data, numbers alone often leave unanswered questions, particularly during unexpected events. GI.bench solves this challenge by integrating synchronized video recording directly with your measurement data, providing powerful visual context and significantly enhancing analytical clarity.
Read more...End-of-Line Testing of Preh’s Battery Management Systems
End-of-line testing for high-voltage Battery Management Systems (BMS) is critical to ensuring performance, safety, and longevity, both for the systems themselves and the vehicles they power. As battery technologies advance, BMS testing grows increasingly complex. Discover how Preh uses Gantner Instruments' high-voltage data acquisition technology for end-of-line testing, specifically designed to meet the demands of e-mobility.
Read more...Webinar – Crate.io + Gantner Instruments: Real-time energy grid control based on big data
With the increase in renewable energy sources, the challenge for electric grid operators to keep grid frequencies stable has become even more significant. Constant data collection is essential for modern control technology and makes it possible to execute controls more quickly, whereby the use of smart grids can be further optimized.
Read more...