Trimble’s REF TEK Wrangler Enables Researchers to Analyze the Earth’s Dynamic Crust
Trimble introduced its REF TEK Wrangler seismic data recorder that provides robust and reliable information for scientists and academics conducting earth movement studies.
Representing REF TEK’s fourth generation of data recording technology, the Wrangler seismic data recorder features a 32-bit analog-to-digital converter, delivering increased dynamic range compared to its predecessor — the REF TEK 130S. This enhanced dynamic range enables the Wrangler to record very small vibrations from seismic sensors, providing detailed data for scientific analysis.
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Working in combination with REF TEK’s recently introduced Colt™ broadband seismometer or third-party seismic sensors, the Wrangler aids researchers in their study of the physics of earthquakes and in gaining a deeper understanding of plate tectonics. With IP68 watertight integrity, Trimble’s REF TEK Wrangler provides reliable performance for:
- Earthquake Early Warning (EEW) systems
- Local, regional and global broadband seismic networks
- Aftershock and portable deployments
- Micro-zonation earthquake studies
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Weighing less than three pounds, the compact yet durable REF TEK Wrangler is suitable for portable or permanent installations, recording data from geophysical sensors even in the most extreme environments. The Wrangler’s flexible configuration options allow users to easily configure the recorder remotely via an integrated Web User Interface (WebUI) or locally via built-in WiFi. Using the industry standard SeedLink real-time data acquisition protocol, the recorder can quickly and easily be set up to automatically import data directly into a user’s analysis software program.
“REF TEK recorders have always been known for their dependability and the Wrangler is no exception,” said Lisa Wetherbee, business area director of Trimble Monitoring Solutions. “Research teams will greatly benefit from the lightweight and portable recorder for many reasons, including its ease of use and connectivity that provide these teams more time to focus on the important job of data analysis.”
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