Technology Center



How does the software part improve the accuracy of the test?

Classification:
TECHNOLOGY SOLUTION
Release time:
2018-07-23 10:26
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Answer:
The accuracy of the buried depth of the column depends largely on the accuracy of the extraction of the reflected signal at the bottom of the column. In order to improve the extraction ability and accuracy, in addition to the spectrum analysis technology (FFT, MEM) for analyzing the test signals in EDMA, we have also developed Signal Matching to process the signals.
 
Due to the similarity between the reflected signal and the incident signal, we introduce the "Fitting Matching" technology in the communication engineering into the system, and analyze the correlation with the incident signal (oscillation signal) to automatically The reflected signal is extracted and the initial moment of the reflected signal is automatically determined.
 
In order to further improve the signal-to-noise ratio (S/N) and the accuracy and objectivity of the test results, and to avoid human error, we have also developed half-wave mobile technology and intelligent analysis functions in EDMA.
 
Move the excitation position based on the reflected waveform. If the moving distance (time axis) is exactly 1/2 of the excitation excellent period, the free vibration portion of the excitation signal after the two waveforms are superimposed can be largely eliminated.
 
Intelligent analysis functions mainly include:
 
(1) From the multiple test results, use mathematical statistics to give the optimal test results;
 
(2) According to different predicted column lengths, select the most suitable analytical method;
 
(3) In order to prevent obvious misjudgment situations in the automatic resolution process, multiple check functions are available in the system.
 
At the same time of testing, the degree of dispersion of various methods can be automatically determined. When the degree of dispersion is large, a warning prompt is automatically given. Provide objective judgments for on-site vibration and data selection.