Research On The Reflective Sound Signal Realtime Collecting System And Eigenvalues Extraction Method Of High Pressure Water Jet

Detecting and eliminating mines is a much dangerous and complex task. In order to eliminate mines effectively, the first job should be the mines precise detection. High press water jet can eliminate mines effectively. At the same time, detecting and eliminating mines can be unified by high pressure water jet identifying and locating the target materials and geometries accurately, which improves the mines elimination efficiency and reduces the danger.In order to detect mines precisely, high-capacity signals collecting technology, voice trick recognition technology and jet parameter optimization design were mainly researched in the article. The main works were developed as follows. The state of high-capacity signals collecting technology was analyzed. The signals collection hardware proper for the subject was explored. The eigenvalues identification and extraction were represented. The software of synchronism signals collecting and TDMS data transfer was programmed by Lab VIEW to acquire the reflective voice signals in high-precision, high-capacity and real-time. The signals denoised and the materials eigenvalues of the targets (mines) extracted were realized by MATLAB wavelet denoise program. The physical dimensions of the targets were distinguished by modulus maximum algorithm processing the border mutation point. The system experiment was designed and developed, by which the jet parameters were optimized to detect the mines more effectively.The experiment results prove that the reflective signals which produced by attacking target can be collected in high-capacity,high-precision and real-time by the designed acquisition system. The reflective voice signals can be well denoised by wavelet denoise technology. And the materials of the targets can be recognized by abstracting useful eigenvalues. The border of the targets can be obtained by MATLAB compiling modulus maximum program to identify the targets shape. These research results provide firm basis for detecting targets(mines) by reflective voice signals.Figure [41] table [4] reference [57]...