Calibration of laser beam direction for optical coordinate measuring system

For the purpose of measuring free form surfaces of some key parts in the aviation field accurately and effectively, such as blades, a non-contact optical coordinate measuring system is set up in the paper. A laser displacement sensor is mounted on the Z axis of a CMM via a turntable and adjusted to the suitable orientation according to the shape of the target surface. The combination of optical sensor and CMM can reach the full potential of them both. To enable the laser sensor to perform measurement in every direction, a calibration method used to determine the laser beam direction based on a standard sphere is proposed, the principle of which is analyzed in detail in the paper. In the calibration procedure, the sensor moves at an equal step along X, Y and Z axes respectively and then equation sets are established to calculate the unit direction vector of the line which the laser beam is on. In the process of solving the unknown quantities, a new parameter substitution method is applied. Finally, a gauging block and a sphere with known size are used to verify the method. As the experimental results show, the measuring errors in several directions are all smaller than 0.05 mm, which manifests that the calibration method proposed can meet the requirements of reverse engineering.     

Multisensor data fusion via Gaussian process models for dimensional and geometric verification

An increasing amount of commercial measurement instruments implementing a wide range of measurement technologies is rapidly becoming available for dimensional and geometric verification. Multiple solutions are often acquired within the shop-floor with the aim of providing alternatives to cover a wider array of measurement needs, thus overcoming the limitations of individual instruments and technologies.In such scenarios, multisensor data fusion aims at going one step further by seeking original and different ways to analyze and combine multiple measurement datasets taken from the same measurand, in order to produce synergistic effects and ultimately obtain overall better measurement results.In this work an original approach to multisensor data fusion is presented, based on the development of Gaussian process models (the technique also known as kriging), starting from point sets acquired from multiple instruments. The approach is illustrated and validated through the application to a simulated test case and two real-life industrial metrology scenarios involving structured light scanners and coordinate measurement machines.The results show that not only the proposed approach allows for obtaining final measurement results whose metrological quality transcends that of the original single-sensor datasets, but also it allows to better characterize metrological performance and potential sources of measurement error originated from within each individual sensor.     

淮南矿区煤矿煤层气抽采技术

根据淮南矿区实际，提出并研究了复杂特困条件下煤与煤层气共采技术。应用数值模拟、相似材料试验、工业性试验等方法，研究了开采煤层顶板煤层气抽采技术、开采保护层卸压增透抽采煤层气技术、地面钻井抽采采动影响区域煤层气技术等采动煤岩移动卸压抽采煤层气技术。以及原始煤层强化抽采煤层气技术的关键参数，全面考察了现场应用效果。     

鹤壁矿区煤层气抽采技术及利用前景分析

根据鹤壁矿区瓦斯赋存特点及开采技术条件，以现有瓦斯抽采工艺和利用技术为基础，对高突弱透气性单一厚煤层的瓦斯抽采及利用技术评价和优化，表明鹤煤公司瓦斯抽采利用前景广泛，鹤壁矿区具备煤气双能源高效共采的可行性。     

澳大利亚煤矿区煤层气开发利用现状及中澳合作前景

澳大利亚煤炭和煤层气储量丰富，煤层气开发利用居于领先地位，本文主要介绍了澳大利亚煤层气储量、开发利用技术和项目开发现状，以及中澳两国在煤层气领域的合作前景。     

我国煤矿区煤层气开发潜力与开发模式探讨

文章在分析我国煤矿区煤炭产量、瓦斯涌出量、瓦斯抽放量变化的基础上,提出对我国煤矿区煤层气开发前景的分析。结合煤层气资源的分布、煤矿区的布局、目前和未来煤矿生产情况分析,对煤矿区煤层气开发有较大发展潜力的矿区进行了预测。同时,结合煤矿区煤炭开采和煤层气开发的特点阐述了煤矿区煤层气开发的主要模式,并指出：在重视煤矿区煤层气开发的同时,应重视低浓度煤层气利用技术的开发研究。     

基于CMM过程改进的教育软件质量保证实施研究

主要根据戴明"过程决定质量"的质量管理理论和CMM管理的基础理论,并结合教育软件公司的现状,较为系统地分析研究基于CMM过程改进的教育软件质量保证实施措施和方案,主要包括教育软件质量保证组织结构设计、过程域活动流程和主要工作方法,并应用于教育软件开发全过程,使之在开发教育软件时从组织保障到过程实施都得到很好的落实,从而使开发的教育软件质量有明显改善。     

基于全寿命周期集成管理的马鞍山长江大桥建管养一体化模式研究

在介绍建管养一体化管理模式内涵的基础上,阐述建管养一体化模式下的组织管理、信息管理和四大职能管理。其中,组织管理是建管养一体化的基础,信息管理是其有效的实施手段,四大职能管理是其实施的显现。该模式对马鞍山长江大桥工程质量、安全、成本和进度都有大幅度提升。     

定量分析在IT项目管理中的应用研究

本文从IT项目管理的内容出发,阐明了基于项目管理的IT软件开发过程,并在总结IT项目自身特性的基础上,得出引入定量分析的重要性和必要性.同时,还列举出定量分析在IT项目管理中的应用领域.