Trimble Launches New Version of its 4D Control Software for Professional Monitoring of Structural and Environmental Changes

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Trimble
TRMB
introduced today the latest version of its deformation monitoring software—Trimble® 4D Control™ version 4.5. Trimble 4D Control software analyzes and reports on the condition and behavior of land and structures such as buildings, dams, mines and bridges. The latest software version features new add-on capabilities—Trimble eCognition® software integration, support for non-Trimble total stations and frequency domain analysis based on Fast Fourier Transform calculations—to better analyze complex data communicated from a broad range of sensors and enable better decision making. The announcement was made at the International Symposium on Slope Stability in Open Pit Mining and Civil Engineering organized by the Southern African Institute of Mining and Metallurgy (SAIMM) and South African National Institute of Rock Engineering (SANIRE). Trimble continues to expand the ways in which quantifying movement change can be automated using a range of geodetic, seismic and engineering sensors. The opportunities in automation play a significant part in effective project safety management in monitoring operations. Equally important is the analysis of complex data communicated via simple visual terms in order to understand the impacts of change. "Trimble 4D Control can improve our customer's decision making process through real-time data acquisition and analysis with a focus on safety management," said Shawn Hilliard, business area manager of Trimble's Earth and Structural Monitoring Solutions. "The integration of Trimble 4D Control software with customer workflows significantly improves their ability to plan, forecast and predict maintenance needs." The latest version 4.5 of Trimble 4D Control provides users with improved functionality for data processing, visualization and analysis in Trimble 4D Control Web. Capabilities include custom views, Webcams, 3D scenes and high-frequency charts to examine complex data in versatile views and present findings in a meaningful way.
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