Research On The Ultrasonic Detection Technology For Gobi Desert Terrain

Sinkiang is an important stratagem base of the energy and mineral resources in our country and has the huge exploitation potential. At the same time of mineral resources development, a variety of factors has lead to the soil pollution, in which the pollution caused by radioactive mental is particularly serious. In the operation for removing and collecting the contaminated soil, accurately controlling the clearance depth can bring a huge economic and engineering efficiency for the soil repairing engineering. Thus, the real-time measurement of the terrain height and the application of measured results to control the clean-up machinery working depth have an important practical significance.In this paper, the technique of ultrasonic ranging measurement has been carefully investigated, and the ultrasonic pulse echo method is used to the terrain height measurement. For improving the detection accuracy, an experimental platform for the ultrasonic detection is developed. Then, focus on the research of detection precision influence factor analysis and the Kalman filtering of measured data.According to the working principle of the ultrasonic pulse echo method to detect the terrain height and combining with the transmission characteristics of ultrasonic wave in air and the gobi desert surface features, the orthogonal experiment method is applied to the detection accuracy factor experiments. Based on these experiments, the significance degree of the factors influencing detection accuracy, including the frequency of sensor and its setting angle and height, the advance speed of engineering machine and the surface roughness of gobi terrain, has been extensively researched.Especially, the established experimental platform can satisfy the simultaneously measuring gobi terrain height for multiple sensors. Through the grain size distribution analysis for the surface soil samples of an ore area to be processed and considering the gobi desert surface features, a laboratory simulation terrain has been established.Next, the detection experiments on the simulated gobi terrain are carefully performed. In this paper, a modified adaptive Kalman filtering is introduced in processing measurement dada. Based on the conventional Kalman filtering, a scaling factor is added to the process noise so that the estimated value and the observed value can arrive at a certain matching degree, with the result that the estimated value can be modified in real time and can more efficiently eliminate the negative impact of the noise on the system. The experimental results show that modified adaptive Kalman filtering can more efficiently eliminate the outliers caused by complicated terrain, and thus significantly improved the measurement accuracy.As stated above, the work in this paper supplies a firm foundation for the next practical engineering realization.