Research Of Target Location And3D Display Based On Acoustic Array And High Pressure Jet

High pressure water jet technology is a mature and effective cold cutting technology, it is widely used in mechanical, chemical and construction industries, it can realize cutting, non-polluting cleaning with significant advantage.When water jet impacting targets, reflection appears, reflection’s features such as frequency, amplitude, energy values are different along with target’s material and shape’s difference, so the reflection can be used for identification of target’s material and shape. The high pressure water jet target material identification technology researched in this paper is a novel technology, it is the innovation of the traditional water jet and voice recognition technology.In order to improve the target detection range and recognition efficiency, high pressure water jet array and linear microphone array was used for target detection, one of the key technologies is using the reflection to extract effective characteristic value and identify target material and size. But the interference and coupling problems existed in the collected reflection signal from microphone array, the precise decoupling and signal reconstruction was needed. Target material and position were randomly distributed in the process of detecting, so the acquired reflections components belong to the non-stationary and time-varying signals. In this paper, the most widely used Independent Component Analysis (ICA) method in blind source separation was used for signal decomposition and reconstruction. Traditional ICA method could not determine the sequence of reconstructive signal, the signal was unable to apply for target accurate positioning. A new iterative ICA algorithm was presented to improve traditional ICA,the theory was described detailed, the corresponding program was compiled with LabVIEW software. Target material multi-channel detection experiment, reflections actual data acquisition experiment, data process and verify experiment were proceeded, at last,simulated and real data were applied to verify the algorithm. Experiment results demonstrate that, the proposed iterative ICA algorithm in this paper could stable determine reconstructive reflection signals correspond to the order of microphone array, the characteristics value of target material and shape could be effectively extracted from the reconstructive reflections. the characteristics value could be used for the identification of target material, size and actual location.In order to display the result of target size, material classification and location, the3D display and locating software was authorized with LabVIEW, and programs in project development was integrated, these programs include large capacity multi-channel signal storage and call, iterative ICA, wavelet denoising, modulus maxima method to determine the target material geometry size, target characteristic value extraction,SVM to identify material and3D display, at last the integration of high pressure water jet target detection system software was compiled. Experimental results proved that the software completely fuse modules, data interface was stable, the integration of target material collection, processing and display in high pressure water jet detection process was well achieved.