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Development of soil compaction analysis software (SCAN) integrating a low cost GPS receiver and compactometer.

Hwang J, Yun H, Kim J, Suh Y, Hong S, Lee D - Sensors (Basel) (2012)

Bottom Line: The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers.For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods.The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil, Architectural & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea. gpsboy@skku.edu

ABSTRACT
A software for soil compaction analysis (SCAN) has been developed for evaluating the compaction states using the data from the GPS as well as a compactometer attached on the roller. The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers. For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods. The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

No MeSH data available.


Effects of GVKF for improving positioning accuracy of low cost GPS results with respect to the moving vehicle. (a) Effect of GVKF for the SPP results; (b) Effects of GVKF for SBAS results.
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f11-sensors-12-02351: Effects of GVKF for improving positioning accuracy of low cost GPS results with respect to the moving vehicle. (a) Effect of GVKF for the SPP results; (b) Effects of GVKF for SBAS results.

Mentions: The first step of the utilization test of GVKF was surveying the center of the selected road line (site A in Figure 10) by RTK positioning and using the RTK results as reference values for accuracy evaluation of low cost GPS results and those with GVKF respectively. Then, we drove the vehicle across the road in a variety of GPS reception environments and obtained SBAS and SPP results with respect to the center of the road line using the low cost GPS receivers. The raw SPP, raw SBAS results and those with GVKF results will be compared with the RTK results in order to evaluate GVKF capability to improve the accuracy of the low cost GPS positioning. Figure 11(a) shows the raw and GVKF applied results from SPP positioning and Figure 11(b) shows those from SBAS positioning based on the RTK results.


Development of soil compaction analysis software (SCAN) integrating a low cost GPS receiver and compactometer.

Hwang J, Yun H, Kim J, Suh Y, Hong S, Lee D - Sensors (Basel) (2012)

Effects of GVKF for improving positioning accuracy of low cost GPS results with respect to the moving vehicle. (a) Effect of GVKF for the SPP results; (b) Effects of GVKF for SBAS results.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376573&req=5

f11-sensors-12-02351: Effects of GVKF for improving positioning accuracy of low cost GPS results with respect to the moving vehicle. (a) Effect of GVKF for the SPP results; (b) Effects of GVKF for SBAS results.
Mentions: The first step of the utilization test of GVKF was surveying the center of the selected road line (site A in Figure 10) by RTK positioning and using the RTK results as reference values for accuracy evaluation of low cost GPS results and those with GVKF respectively. Then, we drove the vehicle across the road in a variety of GPS reception environments and obtained SBAS and SPP results with respect to the center of the road line using the low cost GPS receivers. The raw SPP, raw SBAS results and those with GVKF results will be compared with the RTK results in order to evaluate GVKF capability to improve the accuracy of the low cost GPS positioning. Figure 11(a) shows the raw and GVKF applied results from SPP positioning and Figure 11(b) shows those from SBAS positioning based on the RTK results.

Bottom Line: The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers.For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods.The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil, Architectural & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea. gpsboy@skku.edu

ABSTRACT
A software for soil compaction analysis (SCAN) has been developed for evaluating the compaction states using the data from the GPS as well as a compactometer attached on the roller. The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers. For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods. The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

No MeSH data available.