数据的一致性与并发访问控制

数据的一致性是数据库应用程序生存的前提。如何控制在多用户时出现的并发访问?也就是将这些并发事务隔离在互不干扰的环境中,且能保证最大的并发度就是一个非常重要的课题。     

THE EFFECT OF A MAGNETIC FIELD ON NATURAL CONVECTION IN A SHALLOW CAVITY HEATED FROM BELOW

A numerical study is presented for magnetohydrodynamic free convection of an electrically conducting fluid in a shallow cavity heated from below and cooled from above. The side walls are maintained adiabatic. A uniform magnetic field, inclined with an angle 0 with respect to the horizontal plane, is externally imposed. The investigation covers the range of the Rayleigh number, Ra, from 1.8 × 10₃ to 3 x 10₄the Hartmann number, Ha, from 0 to 35, the Prandtl number, Pr, from 0.005 to 1 and aspect ratio of the cavity, A = 6. The effect of the magnetic field on the flow structure is presented. For supercritical convection it is found that, upon increasing Ha, the number of roll cells in the cavity increases when it is perpendicular to it. The imposition of an inclined magnetic field gives rise to new flow patterns with tilted lateral cell walls. The effect of both strength and orientation of the magnetic field on the overall heat transfer is found to be significant.     

粉料除铁机原理及振动参数设计

针对玻璃、冶金、铸造、陶瓷等行业中普遍使用的粉料中含铁杂质问题,设计了一种除铁机。该机利用双电机驱动自同步惯性振动过筛,电磁除铁,生产效率高、操作简便。基本参数为振幅λ=1.3×10^-3m,抛掷指数D=2.75,选用20目筛处理颗粒尺寸为d=0.07～0.05mm的粒料时,生产率Q=600kg/h。为电磁系统及振动系统、结构设计提供了理论依据。     

小波神经网络的数据压缩技术在超声自动探伤系统中的应用

为了实现对大型回转体零件内部缺陷的检测与识别,研制了超声波自动检测系统.系统主要完成超声信号的采集和处理、数据的实时存储、缺陷的在线分析与识别等功能.要实现缺陷的在线检测与识别,必然需要大量的原始数据,为了减少数据的存储量,通过小波神经网络提取相应的权重因子,构成小波基的尺度参数和与之对应的平移参数,实现缺陷有用信息的压缩;在缺陷数据重构中,利用上述特性参数并结合信号的特征值,对信号进行拟合.解决了缺陷检测现场大量数据的保存问题,为缺陷的进一步识别提供了基础.     

Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterisation

Magnetic flux leakage (MFL) testing is widely used to detect and characterise defects in pipelines, rail tracks and other structures. The measurement of the two field components perpendicular to the test surface and parallel to the applied field in MFL systems is well established. However, it is rarely effective when the shapes of the specimens and defects with respect to the applied field are arbitrary. In order to overcome the pitfalls of traditional MFL measurement, measurement of the three-dimensional (3D) magnetic field is proposed. The study is undertaken using extensive finite element analysis (FEA) focussing on the 3D distribution of magnetic fields for defect characterisation and employing a high sensitivity 3-axis magnetic field sensor in experimental study. Several MFL tests were undertaken on steel samples, including a section of rail track. The experimental and FEA test results show that data from not only the x- and z-axes but also y-axis can give comprehensive positional information about defects in terms of shape and orientation, being especially advantageous where the defect is aligned close to parallel to the applied field. The work concludes that 3D magnetic field sensing could be used to improve the defect characterisation capabilities of existing MFL systems, especially where defects have irregular geometries.     

Characterization of angular dependence of macroscopic magnetic properties in ASTM 36 steel using magnetic Barkhausen noise

Angular-dependent magnetic Barkhausen noise measurements were performed on ASTM 36 steel samples for various values of applied uniaxial stress. The maximum differential permeability and the coercive field are obtained from this Barkhausen signals. The angular dependence of these macroscopic magnetic properties is studied. The tension for which the magneto-elastic energy balances the anisotropic energy is estimated. The results are discussed based on the domain wall theory.     

蓄电池组自动注水系统管网设计

介绍了蓄电池组注水系统的组成、原理和管路网络方案设计,合理设计注水系统的管路布局、管路尺寸能够改善蓄电池组的注水均匀性、减小管路损失,提高注水系统性能.     

A design method of data analytics process for condition based maintenance

Many condition monitoring systems use data analytics processes such as anomaly detection to understand machine conditions. Such data analytics processes have been designed by data scientists. However, domain knowledge is indispensable for designing the process, and data scientists have difficulty in acquiring such knowledge from domain engineers. This paper proposes a design method of data analytics processes and an engineering tool. In this method, data scientists propose hypotheses about each step of the process to domain engineers. Then, data scientists update the process on the basis of feedback from domain engineers. The engineering tool helps data scientists to interact with domain engineers.     

黑龙江化肥厂锅炉房用煤车、贮存、运输方案的优化设计

通过对原可行性研究报告中的锅炉房用煤采用筒仓群贮存方案的了解、分析、比较后,提出了采用矩形库贮存煤的优化方案设计的成果。     

基于粗糙集数据挖掘算法的决策分析

介绍了粗糙集理论的基本概念和特点,研究了基于概念泛化和粗糙集的数据挖掘算法(CRCG)的决策分析,并以拉深模具为例,将其应用于模具质量评价和诊断,使模具质量控制的决策更科学、合理。