HIRFL-CSR前端总线控制器的SD驱动

The HIRFL-CSR EVME bus controller, which runs Embedded Linux OS, is based on AT91RM9200 microprocessor, whose core is ARM920T. There are hardware interface electronic circuits connecting AT91RM9200 microprocessor and Security Digital Memory Card (SD Card). This article analyzes Operation System kernel and Linux device driver’s structure, designs SD Card driver based on Embedded Linux, which runs on AT91RM9200 microprocessor.中文文摘：简要论述了用于兰州重离子加速器冷却储存环(HIRFL-CSR)控制系统的前端总线控制器。该控制器是基于ARM920T核心的AT91RM9200处理器,运行嵌入式Linux操作系统。描述了AT91RM9200处理器与Security Digital MemoryCard(SD卡)的硬件接口电路,分析了操作系统内核和Linux驱动程序结构,设计和实现了嵌入式Linux下基于AT91RM9200处理器的SD卡驱动程序。

保墒灌溉对渠灌类型区冬小麦产量构成及生理特性的影响

以传统耕作栽培方式为对照,研究了5种保墒灌溉栽培方式下冬小麦产量构成的差异,并对冬小麦灌浆期旗叶叶绿素含量、MDA含量、SOD含量、水分利用效率进行了研究。结果显示:不同保墒灌溉栽培方式对冬小麦均有增产作用,平均增产13.46%,穗长平均增加7.15%,不孕小穗数平均降低21.78%,结实小穗平均增加11.42%,穗粒数平均增加10.82%,千粒重平均增加11.05%。保墒灌溉栽培方式的冬小麦灌浆期旗叶叶绿素含量降低减缓,MDA含量降低、SOD含量增高,水分利用效率平均提高24.03%。结果表明,以免耕留茬方式增产幅度最大,水分利用效率最高。

基于CAN总线的机器人示教盒通讯系统的设计

研发了基于CAN总线的新型机器人示教盒系统,采用ARM芯片为核心,并在其上运行了实时操作系统μC/OS-II。设计了一套CAN网络通讯协议,实现了一个示教盒同时示教多台机器人的一对多示教模式,在很大程度上改进和提高了机器人示教盒的性能。

Global Translation Preferred Active Contour

具有全局平移优先属性的主动轮廓更适于目标跟踪。演化轮廓具有的全局平移优先性可以理解为沿轮廓的速度场具有相等的倾向。根据此思想,通过定义在曲线扰动集合上的新内积空间导出了一种简单,具有平移优先的梯度流。新的内积空间由于是通过向H0主动轮廓对应的內积空间引入曲线扰动的方差获得,所以此主动轮廓称为方差主动轮廓。方差主动轮廓是将H0主动轮廓与其对应的平均梯度流通过加权求和获得,而H1主动轮廓则是通过H0主动轮廓与特定类型的核函数进行卷积得到。因此方差主动轮廓实现时更简单和快速。最后给出了H0,H1和方差主动轮廓在频域与时域的分析。

数字制造环境下的加工过程仿真验证技术研究

生产线数字制造环境是数字化工厂的核心 ,而加工过程的仿真与验证技术构成生产线数字系统的底层结构与制造过程数字化分析的主要内容。分析了目前加工过程在几何仿真与物理仿真方面的研究情况、研究方法与存在问题 ,就该项技术向生产线数字制造环境融合的关键技术 ,即综合设备数字样机的完整数字加工环境的建立及加工过程仿真与上层制造环境的信息集成等进行分析与研究

离群模糊核聚类算法

一般说来,离群点是远离其他数据点的数据,但很可能包含着极其重要的信息.提出了一种新的离群模糊核聚类算法来发现样本集中的离群点.通过Mercer核把原来的数据空间映射到特征空间,并为特征空间的每个向量分配一个动态权值,在经典的FCM模糊聚类算法的基础上得到了一个特征空间内的全新的聚类目标函数,通过对目标函数的优化,最终得到了各个数据的权值,根据权值的大小标识出样本集中的离群点.仿真实验的结果表明了该离群模糊核聚类算法的可行性和有效性.

机器人生产线仿真系统开发相关技术研究

针对机器人生产线数字化仿真设计、验证环境 ,讨论了工业机器人及生产线仿真研究现状及存在问题 ,提出机器人虚拟样机设计思想 ,构成机器人生产线连续制造过程仿真的重要组成部分。同时分析生产线仿真中针对离散制造事件的处理方法 ,应用面向对象技术进行生产线离散制造过程建模 ,成为进行生产线仿真的有效研究手段

加工过程物理仿真技术研究

加工过程仿真是虚拟制造的底层关键技术 ,同时也是数字化制造系统的重要组成部分 ,而物理仿真是其中的研究重点和难点。建模难 ,通用性和实用性差是目前物理仿真中存在的主要问题。文章总结了物理仿真的研究内容和方法 ,分析了研究中存在的问题及加工过程建模的常用方法

供应链中物流及信息流管理

供应链管理使企业在变化的市场环境中有效地与其它企业合作 ,取得集体竞争优势。本文首先讨论了后勤学与供应链管理的定义和之间的关系。本文认为供应链管理的核心是物流与信息流的控制。物流控制决策主要包括操作层次的库存补充和运输路径规划 ,以及战略层次的设施地点规划。信息流管理跨越部门与企业的界限将相关的应用集成起来。动态联盟协调各企业内部的生产经营活动 ,战略性地决定物流与信息流的构形。

CIM思想指导下的工业自动化总体技术

工业自动化总体技术是在ＣＩＭ思想指导下产生的实施ＣＩＭ的关键技术。总体技术的核心是总体设计与总体集成技术。本文言及总体技术产生的背景，其宗旨与含义，总体技术方法学，工业自动化系统体系结构与参考模型，以及实践总体技术的概况动向。

机器人语言研究

本文从信息控制的角度出发将机器人语言定义为能处理某些特定的“外部设备”的计算机程序设计语言。并将机器人语言成份分为两大部分,即机器人核心语言和机器人专用语言。然后分别综述了机器人专用语言和机器人核心语言的进展情况。

人工智能及智能控制系统概述

本文扼要地概述了人工智能与智能控制系统的发展情况.全文分五个部份:1)前言;2)人工智能的历史及主要研究课题;3)人工智能核心问题的研究与进展;4)智能控制系统;5)结论.本文提出应用人工智能的基本原理,特别是专家咨询系统的基本思想,建立新型的控制系统——智能控制系统,来解决复杂大系统的辨识和控制中一些难解决的问题.

在51单片机上移植uC/OS—II关键问题的解决

由于MCS-51系列微控制器存在着硬件堆栈小的结构缺陷,无法满足多任务环境下进行任务切换的需求,因此很难将uC/OS—II移植到MCS-51系列微控制器上。本文给出的"堆栈映射"方式很好的解决了这个问题。同时还对uC/OS—II移植过程中一些关键性问题给予了详细的论述。包括:uC/OS—II可移植的条件、内核配置和裁剪以及内核调试。

高分辨率非线性岩性物性联合反演方法和应用

In the prediction of complex reservoir with high heterogeneities in lithologic and petrophysical properties, because of inexact data (e.g., information-overlapping, information-incomplete, and noise-contaminated) and ambiguous physical relationship, inversion results suffer from non-uniqueness, instability and uncertainty. Thus, the reservoir prediction technologies based on the linear assumptions are unsuited for these complex areas. Based on the limitations of conventional technologies, the thesis conducts a series of researches on various kernel problems such as inversions from band-limited seismic data, inversion resolution, inversion stability, and ambiguous physical relationship. The thesis combines deterministic, statistical and nonlinear theories of geophysics, and integrates geological information, rock physics, well data and seismic data to predict lithologic and petrophysical parameters. The joint inversion technology is suited for the areas with complex depositional environment and complex rock-physical relationship. Combining nonlinear multistage Robinson seismic convolution model with unconventional Caianiello neural network, the thesis implements the unification of the deterministic and statistical inversion. Through Robinson seismic convolution model and nonlinear self-affine transform, the deterministic inversion is implemented by establishing a deterministic relationship between seismic impedance and seismic responses. So, this can ensure inversion reliability. Furthermore, through multistage seismic wavelet (MSW)/seismic inverse wavelet (MSIW) and Caianiello neural network, the statistical inversion is implemented by establishing a statistical relationship between seismic impedance and seismic responses. Thus, this can ensure the anti-noise ability. In this thesis, direct and indirect inversion modes are alternately used to estimate and revise the impedance value. Direct inversion result is used as the initial value of indirect inversion and finally high-resolution impedance profile is achieved by indirect inversion. This largely enhances inversion precision. In the thesis, a nonlinear rock physics convolution model is adopted to establish a relationship between impedance and porosity/clay-content. Through multistage decomposition and bidirectional edge wavelet detection, it can depict more complex rock physical relationship. Moreover, it uses the Caianiello neural network to implement the combination of deterministic inversion, statistical inversion and nonlinear theory. Last, by combined applications of direct inversion based on vertical edge detection wavelet and indirect inversion based on lateral edge detection wavelet, it implements the integrative application of geological information, well data and seismic impedance for estimation of high-resolution petrophysical parameters (porosity/clay-content). These inversion results can be used to reservoir prediction and characterization. Multi-well constrains and separate-frequency inversion modes are adopted in the thesis. The analyses of these sections of lithologic and petrophysical properties show that the low-frequency sections reflect the macro structure of the strata, while the middle/high-frequency sections reflect the detailed structure of the strata. Therefore, the high-resolution sections can be used to recognize the boundary of sand body and to predict the hydrocarbon zones.

消除采集脚印的处理方法研究

Seismic technique is in the leading position for discovering oil and gas trap and searching for reserves throughout the course of oil and gas exploration. It needs high quality of seismic processed data, not only required exact spatial position, but also the true information of amplitude and AVO attribute and velocity. Acquisition footprint has an impact on highly precision and best quality of imaging and analysis of AVO attribute and velocity. Acquisition footprint is a new conception of describing seismic noise in 3-D exploration. It is not easy to understand the acquisition footprint. This paper begins with forward modeling seismic data from the simple sound wave model, then processes it and discusses the cause for producing the acquisition footprint. It agreed that the recording geometry is the main cause which leads to the distribution asymmetry of coverage and offset and azimuth in different grid cells. It summarizes the characters and description methods and analysis acquisition footprint’s influence on data geology interpretation and the analysis of seismic attribute and velocity. The data reconstruct based on Fourier transform is the main method at present for non uniform data interpolation and extrapolate, but this method always is an inverse problem with bad condition. Tikhonov regularization strategy which includes a priori information on class of solution in search can reduce the computation difficulty duo to discrete kernel condition disadvantage and scarcity of the number of observations. The method is quiet statistical, which does not require the selection of regularization parameter; and hence it has appropriate inversion coefficient. The result of programming and tentat-ive calculation verifies the acquisition footprint can be removed through prestack data reconstruct. This paper applies migration to the processing method of removing the acquisition footprint. The fundamental principle and algorithms are surveyed, seismic traces are weighted according to the area which occupied by seismic trace in different source-receiver distances. Adopting grid method in stead of accounting the area of Voroni map can reduce difficulty of calculation the weight. The result of processing the model data and actual seismic demonstrate, incorporating a weighting scheme based on the relative area that is associated with each input trace with respect to its neighbors acts to minimize the artifacts caused by irregular acquisition geometry.