Готові списки джерел за темами / Blasting Data processing

Добірка наукової літератури з теми "Blasting Data processing"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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Статті в журналах з теми "Blasting Data processing"

Guo, Tao, Quan Min Xie, Ming Shou Zhong, Yi Shan Li, and Ying Gao. "LW Algorithm in the Application Research of Digital Blasting Vibration Signal Compression." Advanced Materials Research 926-930 (May 2014): 3068–72. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3068.

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Анотація:

On the demands of real-time and effective transmission of a huge number of data in the construction of digital blasting vibration measurement information management system, lifting wavelet algorithm was introduced for blasting vibration signal compression. Interpolation wavelet, lifting db and traditional db wavelets were used for decomposition-threshold processing-reconstruction. Compression algorithm for the short-term and non-stationary blasting vibration signal was proposed, by analyzing the compression quality. Research results lay a favorable data processing basis for the construction of digital blasting vibration measurement platform and large network blasting vibration monitoring system.

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Koteleva, Natalia, and Ilia Frenkel. "Digital Processing of Seismic Data from Open-Pit Mining Blasts." Applied Sciences 11, no. 1 (January 2, 2021): 383. http://dx.doi.org/10.3390/app11010383.

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This article describes an approach of mathematical processing of signals (seismograms) from five blasthole charges from experimental blasting, each 3 m deep, with equal explosive weight (1 kg), and equidistant (3 m) from one other. The seismic explosive waves were measured at a 13 to 25 m distance. This article provides spectral analysis, wavelet analysis, and fractal analysis results. It defines the dependence of dominant frequency and amplitude on the distance to the blast center. According to the experimental data, the dominant frequency is calculated as y = 1.0262x0.2622 and the amplitude dependency as y = 18.139x−2.276. Furthermore, the analysis shows that 80% of the entire signal is concentrated in half the area of frequency range, i.e., the low frequency zone is of the most interest. This research defines the dependence of distance on the energy value of signal wavelet analysis. It is demonstrated that, according to the experimental data, the 12th frequency range is closely correlated with the distance values. This article gives the definitions of entropy, correlation dimension, and predictability time. This experiment shows that entropy and correlation dimension decrease but predictability time increases when the distance to the blast center increases. This article also describes the method for determining optimal drilling and blasting parameters, and concludes with the possibility of applying the analytical results to predicting and enhancing drilling and blasting operations.

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Isheyskiy, Valentin, Evgeny Martinyskin, Sergey Smirnov, Anton Vasilyev, Kirill Knyazev, and Timur Fatyanov. "Specifics of MWD Data Collection and Verification during Formation of Training Datasets." Minerals 11, no. 8 (July 22, 2021): 798. http://dx.doi.org/10.3390/min11080798.

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Анотація:

This paper presents a structured analysis in the area of measurement while drilling (MWD) data processing and verification methods, as well as describes the main nuances and certain specifics of “clean” data selection in order to build a “parent” training database for subsequent use in machine learning algorithms. The main purpose of the authors is to create a trainable machine learning algorithm, which, based on the available “clean” input data associated with specific conditions, could correlate, process and select parameters obtained from the drilling rig and use them for further estimation of various rock characteristics, prediction of optimal drilling and blasting parameters, and blasting results. The paper is a continuation of a series of publications devoted to the prospects of using MWD technology for the quality management of drilling and blasting operations at mining enterprises.

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Guo, Li, Cai Wu Lu, and Zhen Yang. "CAD Secondary Development of Medium-Depth Hole Blasting Design System Based on Object/ARX." Applied Mechanics and Materials 65 (June 2011): 285–90. http://dx.doi.org/10.4028/www.scientific.net/amm.65.285.

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Анотація:

The medium-depth blasting design of underground mining needs to do a lot of data- processing of geological survey and graphics rendering. It is repetitive and tedious. This paper introduces a Medium-depth hole blasting design CAD system (MHBD) based on Object/ARX. However, the system of non-pillar sublevel caving can decrease the labor intensity, reduce design time and improve labor efficiency.

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Basargin, Andrei A., and Viktor S. Pisarev. "DESIGN OF DRILLING AND EXPLOSION WORKS IN UNDERGROUND MINING USING IN MICROMINE GGIS." Interexpo GEO-Siberia 1, no. 1 (July 8, 2020): 3–14. http://dx.doi.org/10.33764/2618-981x-2020-1-1-3-14.

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Анотація:

In the modern world, an increasing number of enterprises involved in geological exploration and exploration use special software and information systems in their work. The use of such systems can significantly accelerate the processing and analysis of information. They make it possible to automate the processing and interpretation of geological exploration data, as well as use them to model deposits and design underground drilling and blasting operations. GGIS Micromine will automate the design of drilling and blasting operations while ensuring well placement taking into account the block geometry and rock properties, and a rational distribution of borehole charges for the most efficient crushing of rock mass. In conditions of high intensity of mining operations at the MGIS quarries, Micromine ensures the efficiency and multivariance of design decisions when performing blasting.

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Yastrebova, Karina, Dmitriy Moldovan, and Vladimir Chernobay. "Influence of the nature of the outflow of explosion products from blast holes and boreholes on the efficiency of rock destruction." E3S Web of Conferences 174 (2020): 01017. http://dx.doi.org/10.1051/e3sconf/202017401017.

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Анотація:

The problem of the quality of rock preparation before blasting for the further processing has been considered. The data that can solve the problem of keeping explosion products in the charging chamber, increasing productivity of mining companies have been presented. Based on field tests and further processing of the obtained data, conclusions on solving the relevant problem have been made.

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Wróblewski, Adam, Jacek Wodecki, Paweł Trybała, and Radosław Zimroz. "A Method for Large Underground Structures Geometry Evaluation Based on Multivariate Parameterization and Multidimensional Analysis of Point Cloud Data." Energies 15, no. 17 (August 29, 2022): 6302. http://dx.doi.org/10.3390/en15176302.

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Анотація:

In underground mining, new workings (tunnels) are constructed by blasting or mechanical excavation. The blasting technique used in underground mines is supported by economic aspects, especially for deposits characterized by hard rocks. Unfortunately, the quality of the result may be different than expected in terms of the general geometry of work or the roughness of excavation surfaces. The blasting technique is also a source of vibrations that may affect other existing structures, affecting their stability. Therefore, it is of great importance to monitor both the quality of the new tunnels and changes in existing tunnels that may cause rockfall from the sidewalls and ceilings of both new and existing tunnels. The length of mining tunnels and support structures in underground mines is massive. Even if one would like to limit monitoring of tunnel geometry to those used every day for major technological processes such as transport, it is a vast amount of work. What is more, any stationary monitoring system is hard to utilize both due to everyday blasting procedures and mobile machine operation. The method proposed here is based on quick LiDAR/Terrestrial Laser Scanner measurements to obtain a cloud of points, which allows generating the spatial model of a mine’s geometry. Data processing procedures are proposed to extract several parameters describing the geometry of the tunnels. Firstly, the model is re-sampled to obtain its uniform structure. Next, a segmentation technique is applied to separate the cross sections with a specific resolution. Statistical parameters are selected to describe each cross section for final 1D feature analysis along the tunnel length. Such a set of parameters may serve as a basis for blasting evaluation, as well as long-term deformation monitoring. The methodology was tested and validated for the data obtained in a former gold and arsenic mine Zloty Stok, Poland.

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Xia, Jieqin, Bin Dou, Hong Tian, Jun Zheng, Guodong Cui, and Muhammad Kashif. "Research on Initiation of Carbon Dioxide Fracturing Pipe Using the Liquid Carbon Dioxide Phase-Transition Blasting Technology." Energies 14, no. 3 (January 20, 2021): 521. http://dx.doi.org/10.3390/en14030521.

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Liquid carbon dioxide (L-CO2) phase-transition blasting technology (LCPTB) has caused wide concern in many fields, but there is a lack of research on the initiation of the carbon dioxide fracturing pipe. Studies regarding the carbon dioxide fracturing pipe initiation are critical for controlling and optimizing the LCPTB. Therefore, in this article, a series of exploratory experiments of carbon dioxide blasting were carried out to investigate the qualitative and quantitative relationships between the carbon dioxide fracturing pipe initiation and the three key variables (the filling mass of liquid carbon dioxide (L-CO2) (X1), the amount of chemical heating material (X2) and the thickness of the constant-stress shear plate (X3)). The failure mechanisms of three variables on the phase-transition blasting process of a carbon dioxide fracturing pipe was analyzed qualitatively based on experiment temperature, strain curve and failure form of constant-stress shear plate. An empirical model between the carbon dioxide fracturing pipe initiation (Y) and the three key variables (X1, X2, X3) was obtained after processing experiment result data quantitatively. Based on the phase-transition and blasting process of carbon dioxide, two methods, the Viral–Han–Long (VHL) equation of gas state (EOS) and the strength-failure method were used to calculate the blasting pressure and determine the failure mode of the fracturing pipe. The proposed blasting empirical model can be used to optimize the structural design of carbon dioxide fracturing pipes, guide on-site carbon dioxide blasting operations and further achieve the best blasting effect of LCPTB, so this work can enable LCPTB to be better applied to practical projects.

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Lv, Shu Ran, Qing Nan Wei, and Kai Yang. "Explosion Experimental Study Based on the Small Tailings Pond Model." Advanced Materials Research 919-921 (April 2014): 485–90. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.485.

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Анотація:

Explosion experiment was implemented on the small tailings dam model, aims to study the explosion effect of tailings sand under the action of the explosion. Explosion experiment includes three phases; experimental points were set respectively in the starter dam, embankment and deposited beach. In this experiment, blasting vibration velocity and vertical displacement of sand body are measured and collected, so did the tailings sand’s moisture content, cracks’ size, blasting crater, water and sand spurt phenomenon. Experimental results show that the buried conditions and tailings dam’s moisture content have a significant impact on explosion effect. By processing the velocity and displacement data, the attenuation law of blast vibration velocity in the tailings dam is reached, the blasting vibration velocity corresponding to crack damage of sand body is predicted, and the relationship between failure phenomenon of the tailings dam and the displacement produced by explosion is obtained.

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Trofimov, Vitaly, and Ivan Shipovskii. "Simulation fragmentation of samples of rock at explosive loading." E3S Web of Conferences 192 (2020): 01013. http://dx.doi.org/10.1051/e3sconf/202019201013.

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Анотація:

Research to improve the definition of rational parameters for blasting is becoming increasingly important and valuable. This is especially true in the era of digital technology, which allows miners to realize a holistic vision of optimizing the entire process - from the quarry to the receipt of the final product at the processing plant. The proposed computer simulation based on the Smoothed Particle Hydrodynamics (SPH) method in AUTODYN computer complex to optimize the explosion results by integrating the initial data - charge parameters and rock properties, is aimed at improving measures that reduce the total cost of drilling and blasting, increasing mining productivity and safety. The presented calculations make it possible to estimate the number of fragments and their initial expansion velocity for various explosives.

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Більше джерел

Частини книг з теми "Blasting Data processing"

Huang, Sen, Linna Li, Dongwang Zhong, Li He, and Jianfeng Si. "Vibration Signal Analysis of Chimney Blasting Based on HHT." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210182.

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Анотація:

In the blasting demolition processs of high-rise structures, the impact of blasting vibration to the environment and objects to be protected must be effectively controlled, so the blasting vibration signal is deeply analyzed [1]. In this paper, the blasting vibration signal of a chimney is analyzedbased on HHT. The blasting vibration signal is denoised by Empirical Mode Decomposition (EMD)-wavelet threshold, then using Hilbert-Huang Transform (HHT) [2] the measured blasting vibration waveform Hilbert spectrum, marginal spectrum and instantaneous energy graph are draw to analyze the chimney blasting vibration. The results show that the denoising effect of EMD-wavelet threshold is good for blasting vibration signal [3]. HHT method has a good feature identification ability when processing vibration signals, and can reflect the characteristics of data more comprehensively and accurately, which provides convenience for the study of vibration signal data.

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Тези доповідей конференцій з теми "Blasting Data processing"

Shokri, Shiva, Pooria Sedigh, Mehdi Hojjati, and Tsz-Ho Kwok. "A Deterministic Inspection of Surface Preparation for Metalization." In ASME 2022 17th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/msec2022-85334.

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Abstract To improve the surface properties of fiber-reinforced polymer composites, one method is to employ thermal spray to apply a coating on the composite. For this purpose, it uses a metal mesh serving as an anchor between the composite and the coating to increase adhesion. However, the composite manufacturing covers the metal mesh with resin, and getting an acceptable coating is only possible through an optimum exposure of the metal mesh by sand blasting prior to coating. Therefore, this study aims to develop a computer vision and image processing method to inspect the parts and provide the operator with feedback. Initially, this approach takes the images from a single-view microscope as the inputs, and then it classifies the images into two regions of resin and metal mesh using the Otsu’s adaptive thresholding. Next, it segments the resin areas into distinct connected clusters, and it makes a histogram based on the clusters’ size. Finally, the distribution of the histogram can determine the status of the surface preparation. The state-of-the-art has only examined the sand-blasted composites manually, requiring expertise and experience. This research presents a deterministic method to automate the inspection process efficiently with an inexpensive portable digital microscope. This method is practical, especially when there is a lack of standardized data for machine learning. The experimental results show that the method can get different histograms for various samples, and it can distinguish whether a sample is under-blasted, proper-blasted, or over-blasted successfully. This study also has applications to various fields of manufacturing for defect detection and closed-loop control.

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