Data processing in blast-induced ground vibration measurement issue with Kalman filter

Tóm tắt

Measurement data processing plays an important role in acquisition systems. Completely eliminating the error caused by noise is a difficult issue because correct data exists in noise. Besides, it is impossible to distinguish them clearly. For this reason, solutions to process and standardize data are always applied in the condition of paying close attention to the peculiarity and specific properties of the measured object and the factors affecting it. Blast-induced Ground Vibration wave data is one of the extremely important information in mining operations. It is used to evaluate the impact of the blasting on construction. Besides, it presents the efficiency of explosives as well as of the blasting and mining operation in general. For many particular cases, the physical and mechanical properties of the object to be broken (geological structure, physical and mechanical properties of the rock in the blasting area) are relatively image by knowing its waves. Furthermore, the parameters of the next blasting are also improved based on this data. Due to its important role, the requirement for automatic and highly accurate recording of blast-induced ground vibration data is an urgent issue in mining operations in Vietnam. In this paper, solutions to apply the Kalman filter to handle ground vibration wave data due to blasting were introduced. The work is done based on considering the properties and factors affecting the amplitude, frequency, and characteristics of ground vibration waves. Data is taken directly from the sensor without any processing. Therefore, it carries a lot of noise from many different causes such as the sensor structure, gravity, rock structure, the other sources of vibration at the same time, etc. The used sensor is a product of Nation Instrument (NI). The content of the article is the result of researching and building an automatic blast-induced