鑫达黄金矿业急倾斜薄矿体中深孔采矿方法的研究与优化

近年来，随着开采技术的发展，急倾斜薄矿脉采用中深孔采矿越来越多。为了降低生产成本，提高经济效益和安全系数。通过在矿房对扇形中深孔和平行中深孔进行现场试验，得到扇形中深孔比平行中深孔工程量少、千吨采切比小的结论。将扇形中深孔采矿方法在急倾斜薄矿脉中进行推广应用，取得了一定经济效益。     

Design and analysis of a class of redundant collaborative manipulators with 2D large rotational angles

The parallel spindle heads with high rotational capability are demanded in the area of multi-axis machine tools and 3D printers. This paper focuses on designing a class of 2R1T (R: Rotation; T: Translation) parallel spindle heads and the corresponding collaborative 5-axis manipulators with 2-dimension (2D) large rotational angles. In order to construct 2D rotational degrees of freedom (DOFs), a platform with 2D revolute joints is proposed first. Based on the constraint screw theory, the feasible limbs that can be connected in the platform are synthesized. In order to provide constant rotational axis for the platform, a class of redundant limbs are designed. A class of redundant 2R1T parallel spindle heads is obtained by connecting the redundant limbs with the platform and the redundant characteristics are verified by the modified Grübler-Kutzbach criterion. The corresponding 5-axis collaborative manipulators are presented by constructing a 2-DOF series translational bottom moving platform. The inverse kinematics and the orientation workspace as well as the decoupling characteristics of this type of 2R1T parallel spindle heads are analyzed. The results show that these manipulators have large 2D rotational angles than the traditional A3/Z3 heads and can be potentially used in the application of multi-axis machine tools and the 3D printers.     

智能数据分区与布局研究

大数据时代,数据规模庞大,由数据进行驱动的应用分析场景日益增多.如何快速、高效地从这些海量数据中提取出用以分析决策的信息,给数据库系统带来重大挑战.同时,现代商业分析决策对分析数据的实时性要求数据库系统能够同时快速处理ACID事务和复杂的分析查询.然而,传统的数据分区粒度太粗,且不能适应动态变化的复杂分析负载;传统的数据布局单一,不能应对现代大量增加的混合事务分析应用场景.为了解决以上问题,“智能数据分区与布局”成为当前的研究热点之一,它通过数据挖掘、机器学习等技术抽取工作负载的有效特征,设计最佳的分区策略来避免扫描大量不相关的数据,指导布局结构设计以适应不同类型的工作负载.首先介绍了智能数据分区与布局的相关背景知识,然后对智能数据分区与布局技术的研究动机、发展趋势、关键技术进行详细的阐述.最后,对智能数据分区与布局技术的研究前景做出总结与展望.     

分段中深孔采矿法切割槽及底部出矿结构设计优化

间柱采场用分段中深孔嗣后充填采矿法回采，为利用中深孔爆破形成切割槽及底部桃形体出矿结构，优化切割天井位置，以溜矿口上方的桃形体作为安全隔柱，利用溜矿口空间作为底部拉槽的凿岩和装药空间；采用平行中深孔和扇形中深孔相结合的方式进行布眼，爆破形成切割槽和底部桃形体出矿结构，避免了采用人工浅孔爆破施工的安全风险,切割槽爆破到位，底部桃形体出矿结构成型良好且稳固安全，该技术已在全矿推广应用。     

The provably good parallel seeding algorithms for the k-means problem with penalties

As a classic NP-hard problem in machine learning and computational geometry, the k-means problem aims to partition the given points into k sets to minimize the within-cluster sum of squares. The k-means problem with penalties (k-MPWP), as a generalizing problem of the k-means problem, allows a point that can be either clustered or penalized with some positive cost. In this paper, we mainly apply the parallel seeding algorithm to the k-MPWP, and show sufficient analysis to bound the expected solution quality in the case where both the number of iterations and the number of points sampled in each iteration can be given arbitrarily. The approximate guarantee can be obtained as , where is a polynomial function involving the maximal ratio M between the penalties. On one hand, this result can be viewed as a further improvement on the parallel algorithm for k-MPWP given by Li et al., where the number of iterations depends on other factors. On the other hand, our result also generalizes the one solving the k-means problem presented by Bachem et al., because k-MPWP is a variant of the k-means problem. Moreover, we present a numerical experiment to show the effectiveness of the parallel algorithm for k-means with penalties.     

An integrated three-stage maintenance scheduling model for unrelated parallel machines with aging effect and multi-maintenance activities

We propose an integrated three-stage model for maintenance scheduling of unrelated parallel machines (UPMs) with aging effect and multi-maintenance activities (AEMMAs) using a variety of MODM techniques such as the fuzzy analytic hierarchy process (AHP), the technique for order of preference by similarity to ideal solution (TOPSIS), and goal programming (GP). We use fuzzy AHP in the first stage of the proposed model to account for the inherent ambiguity and vagueness in real-life maintenance scheduling problems. In the second stage, we use TOPSIS to reduce the multi-objective problem into an efficient bi-objective problem. Finally, we use GP to solve the resulting bi-objective problem and develop an optimal maintenance schedule in the third stage of the model. We use a numerical example to demonstrate the applicability of the proposed approach and exhibit the efficacy of the procedures and algorithms.     

Locally one-dimensional-alternating segment explicit–implicit and locally one-dimensional-alternating segment Crank–Nicolson methods for two-dimension parabolic equations

In the paper two new locally one-dimensional alternating segment schemes for solving the 2-D parabolic problems are developed. The parabolic problems can be solved efficiently over decomposed sub-domains. Two schemes are proved to be unconditionally stable and numerical experiments show the validity of the schemes.     

化工设备焊缝安全管理信息系统开发

通过对化工设备焊缝安全管理信息系统进行需求分析和可行性分析,完成了系统的总体设计,利用Microsoft SQL Server 2000作为后台数据库,结合Windows下可视化编程工具Visual Basic 6.0进行了系统开发。系统主要包括登录、信息管理、安全评价、系统设置、数据安全和帮助信息模块,对系统进行测试后,可以满足化工设备焊缝安全管理工作的需要。     

实时数据库系统在聚丙烯装置生产管理中的开发与应用

中国石油化工股份有限公司荆门分公司建立了一套实时数据库系统,通过网络将生产装置DCS系统内的运行数据实时采集,长期存储,为装置的生产管理提供了一个信息平台。在此基础上,笔者根据聚丙烯装置生产管理的实际需要开发了一系列新功能。这些功能的应用提高了工作效率,优化了装置的生产操作,提升了工艺管理水平,收到良好的效果。     

泵并联运行流量增量的影响因素与并联运行设计的初探

通过对福建LNG接收站现有管路特性曲线和3台海水泵并联运行流量-扬程曲线的形状进行分析,分析了影响泵并联运行时流量增量的因素,以及泵并联运行时可能出现的过载问题,在此基础上提出了福建LNG接收站工艺海水泵并联运行设计时应该注意的问题,为并联运行工艺海水泵的设计和选型提供参考。