Numerical simulation for rheological characteristics of alternating distribution of soft and hard rock layers

The difficulty of selecting appropriate rheological model and parameters for the alternating distribution of soft and hard rock layers was often encountered due to the unhomogeneity, discontinuity and anisotropy of rock mass. The Burgers and generalized Kelvin models were applied to the soft and hard rock respectively and the rheological parameters were obtained based on the method of optimum separation. By using the simulated code FLAC^3D, the stability of surrounding rocks of a certain underground plant was analyzed. The effect of surface load and weakening the parameters intensity of argillaceous and bioclastic interlayers between soft and hard rock on rheological behavior of layer composite rock mass was investigated. The results indicate that the rheological characteristics of soft and hard rock layer in composite rock mass can be described well with above two rheological models.     

Lifting transform via Savitsky-Golay filter predictor and application of denoising

The Savitsky-Golay filter is a smoothing filter based on polynomial regression. It employs the regression fitting capacity to improve the smoothing results. But Savitsky-Golay filter uses a fix sized window. It has the same shortage of Window Fourier Transform. Wavelet mutiresolution analysis may deal with this problem. In this paper, taking advantage of Savitsky-Golay filter＇s fitting ability and the wavelet transform＇s multiscale analysis ability, we developed a new lifting transform via Savitsky-Golay smoothing filter as the lifting predictor, and then processed the signals comparing with the ordinary Savitsky-Golay smoothing method. We useed the new lifting in noisy heavy sine denoising. The new transform obviously has better denoise ability than ordinary Savitsky-Golay smoothing method. At the same time singular points are perfectly retained in the denoised signal. Singularity analysis, multiscale interpolation, estimation, chemical data smoothing and other potential signal processing utility of this new lifting transform are in prospect.     

Land reclamation in the refuse dump of open coal mines and its following ecology principle

Through the research on the model of the land reclamation in the refuse dump of Heidaigou open coal mines, it was concerned that ecology was the theoretical basic for the land reclamation of open coal mines. According to the principle of ecological substituting, the land reclamation can be divided into three stages： water and soil conservation, ecological performance and economic performance. Taking the land reclamation in the refuse dump of Heidaigou open coal mines as the practical example, explained the application of the ecological substituting principle on the land reclamation in the open coal mines .     

Study on the forecast method for underground coal mine

At present, coal mine fires were forecasted with some temperature, smog, CO, CO2, etc, however, this method can＇t meet the requirements for safe production of coal mines in monitoring accuracy and validity. Overcoming these problems of foregone monitoring methods, using multi-parameters which include fire image, smog, CO, CO2, O2, etc, the paper put forward a synthetical analysis monitor with advanced technology of neural network. The research and application of this method has significance in theory and practical value for coal mine fire forecast.     

Analysis of low energy arc discharge characteristics based on dynamic V-A characteristics model

Low energy arc discharge characteristics was analyzed based on dynamic V-A characteristics model. It draws conclusions that discharge time relates to the source voltage and the product of inductance and stable current, discharge time will increase when the source voltage increases; current reduce rate is in inverse proportion to the value of inductance; arc resistance when the arc occurs is the ratio of minimum arcing voltage to stable current. It also gains the expressions of arc resistance and arc power, arc resistance and arc power both increase as the source voltage increases and decrease as the value of inductance increases. Conclusions above mentioned are helpful to design intrinsically safe circuits.     

PLC模糊控制器在煤泥水处理中的应用

根据煤泥水系统的多输入多输出变量特性及其相互之间的动态关系,提出了采用模糊控制技术对其控制的方法以及建立多变量系统的模糊控制规则,并给出了采用PLC处理煤泥水的实现方法。     

煤炭类别检验作业指导书

煤炭检验工作在严格执行国家标准的同时,还应编制煤炭类别检验作业指导书,保证顺利、准确向社会提供公证的检验数据。本文对相关问题进行了论述。     

KM型快速压滤机的发展与应用

介绍国产快速压滤机的设计特点和作为煤泥处理设备的推广应用     

一种双靶磁控溅射制备的Mg掺杂的NiO薄膜

采用磁控溅射“共溅射”方法,将Ar气作为溅射气体,高纯NiO和MgO双陶瓷靶作为溅射靶材。当控制NiO和MgO靶的溅射功率分别为190 W和580 W,溅射真空度为2 Pa,衬底温度为300℃时,得到了Mg掺杂的NiO(Ni_0.61Mg_0.39O)薄膜。该薄膜是一种具有(200)择优取向的晶态薄膜。薄膜表面比较平整,晶粒分布致密,晶粒尺寸约46.9 nm。(200)衍射峰位置相对未掺杂的NiO薄膜向小角度偏移约0.2°。合金薄膜在可见光波段具有较大的透过率,而在300 nm附近透过率陡然下降,其光学带隙向高能方向移动到了3.95 eV。该研究为采用磁控溅射制备高质量的Mg掺杂的NiO薄膜提供了技术支撑。     

面向神经形态感知的人工脉冲神经元的研究进展

近年来,随着人工智能技术和脉冲神经网络(SNN)的迅猛发展,人工脉冲神经元的研究逐渐兴起。人工脉冲神经元的研究对于开发具有人类智能水平的机器人、实现自主学习和自适应控制等领域具有重要的应用前景。传统的电子器件由于缺乏神经元的非线性特性,需要复杂的电路结构和大量的器件才能模拟简单的生物神经元功能,同时功耗也较高。因此,最近研究者们借鉴生物神经元的工作机制,提出了多种基于忆阻器等新型器件的人工脉冲神经元方案。这些方案具有功耗低、结构简单、制备工艺成熟等优点,并且在模拟生物神经元的多种功能等方面取得了显著进展。文章将从人工脉冲神经元的基本原理出发,综述和分析目前已有的各种实现方案。具体来说,将分别介绍基于传统电子器件和基于新型器件的人工脉冲神经元的实现方案,并对其优缺点进行比较。此外,还将介绍不同类型的人工脉冲神经元在实现触觉、视觉、嗅觉、味觉、听觉和温度等神经形态感知方面的应用,并对未来的发展进行展望。希望能够为人工脉冲神经元的研究和应用提供有益的参考和启示。