油田勘探井位部署决策支持系统应用

决策支持系统作为新兴的管理信息技术,只有与生产实践紧密结合,才能焕发出强大的生命力。根据石油行业勘探井位部署工作对勘探信息的综合需求,胜利油田提出了勘探井位部署决策支持系统解决方案,充分利用勘探数据库及信息技术,构建了一个勘探信息综合应用的数据管理、数据查询与可视化展示一体化平台,为科研人员提供了项目研究所需的数据支持和成果资料的管理与共享;为管理部门提供流程管理及时掌握项目进度,提高了项目管理水平及工作效率;为决策人员采用方便直观的方式提供准确可靠的决策依据,降低了决策风险,提升了决策水平。勘探井位部署决策支持系统为勘探生产带来了巨大的经济效益,对于国内石油勘探行业具有一定的借鉴意义。     

油田开发后期油井清蜡防蜡方法

油田开发过程中油井结蜡现象普遍存在，严重影响了油井的正常生产。为此，分析了油田开发后期油井的结蜡机理和影响因素。简要介绍了国外最新应用的清蜡、防蜡方法，诸如油井油管注入阀清蜡、负压冲击清蜡、井下就地产热清蜡、油井直接电加热清蜡和使杆管表面亲水防蜡等。指出了只有正确认识油田开发规律，采取有针对性的清防蜡方法，才能保证油田的正常生产。     

超声波钻井液体传感器的原理与设计思路

本文主要介绍了组合接口式超声波钻井液体积传感器的测量原理、基本结构、电路工作原理、控制软件设计思路,以及测量误差分析等。     

融合空间和通道特征的高精度乳腺癌分类方法

组织病理学图像是鉴别乳腺癌的黄金标准,所以对乳腺癌组织病理学图像的自动、精确的分类具有重要的临床应用价值。为了提高乳腺组织病理图像的分类准确率,从而满足临床应用的需求,提出了一种融合空间和通道特征的高精度乳腺癌分类方法。该方法使用颜色归一化来处理病理图像并使用数据增强扩充数据集,基于卷积神经网络（CNN）模型DenseNet和压缩和激励网络（SENet）融合病理图像的空间特征信息和通道特征信息,并根据压缩-激励（SE）模块的插入位置和数量,设计了三种不同的BCSCNet模型,分别为BCSCNetⅠ、BCSCNetⅡ、BCSCNetⅢ。在乳腺癌癌组织病理图像数据集（BreaKHis）上展开实验。通过实验对比,先是验证了对图像进行颜色归一化和数据增强能提高乳腺的分类准确率,然后发现所设计的三种乳腺癌分类模型中精度最高为BCSCNetⅢ。实验结果表明,BCSCNetⅢ的二分类准确率在99.05%~99.89%,比乳腺癌组织病理学图像分类网络（BHCNet）提升了0.42个百分点;其多分类的准确率在93.06%~95.72%,比BHCNet提升了2.41个百分点。证明了BCSCNet能准确地对乳腺癌组织病理图像进行分类,同时也为计算机辅助乳腺癌诊断提供了可靠的理论支撑。     

基于遗传算法的串联梯级泵站扬程优化分配

为实现引江济淮工程(安徽段)江水北送段的高效运行,以引江济淮工程江水北送段输水系统为研究对象,采用基于遗传算法构建的梯级泵站扬程优化分配模型,开展串联梯级泵站扬程优化分配研究。分别对设计和非设计工况下江水北送段输水系统的运行方案进行分析计算。计算结果表明:设计工况下优化后分配方案总效率较设计现状方案提高2.86%,说明模型优化后的方案可进一步提高梯级泵站的输水效率,为实现串联泵站输水系统科学、合理调度提供很好的科学支撑。     

Neural Approximation-based Model Predictive Tracking Control of Non-holonomic Wheel-legged Robots

This paper proposes a neural approximation based model predictive control approach for tracking control of a nonholonomic wheel-legged robot in complex environments, which features mechanical model uncertainty and unknown disturbances. In order to guarantee the tracking performance of wheel-legged robots in an uncertain environment, effective approaches for reliable tracking control should be investigated with the consideration of the disturbances, including internal-robot friction and external physical interactions in the robot’s dynamical system. In this paper, a radial basis function neural network (RBFNN) approximation based model predictive controller (NMPC) is designed and employed to improve the tracking performance for nonholonomic wheel-legged robots. Some demonstrations using a BIT-NAZA robot are performed to illustrate the performance of the proposed hybrid control strategy. The results indicate that the proposed methodology can achieve promising tracking performance in terms of accuracy and stability.

     

Industrial test on coal re-burning at a 600 MW utility boiler and NO<Subscript><Emphasis Type="Italic">x</Emphasis></Subscript> reduction

This research conducts a series of industrial tests on coal reburning of a 600 MW pulverized coal boiler firing lignite, which is one part of a coal reburning demonstration project. When running steadily under 600 MW load, the boiler has an average NO _x emission of 274 mg/m³ (O₂ content in flue gas is converted to 6%), the NO _x emission is reduced by 65.36%. In the meanwhile, loss of ignition (LOI) under coal reburning rarely increases. Three operation conditions — traditional air feeding, air staging and coal reburning — are realized, respectively, during the industrial tests, and the results indicate that coal reburning has the lowest NO _x emission, while the traditional air feeding has the highest NO _x emission. Under the test conditions, the higher the proportion of the reburning coal, the higher the NO _x control can reach. This work was presented at the 6 ^th Korea-China Workshop on Clean Energy Technology held at Busan, Korea, July 4–7, 2006.     

书籍设计人性化的思考

书籍设计应为阅读而存在!书籍设计应为读者服务为目的!当前书籍设计界出现了一些问题:抄袭、同质化、过度包装、甚至怪诞装帧等。这些问题完全无视了读者,也背离了设计以人为中心的目的。在这样的情况下,文章从三个方面:文字的设计、显示的设计、开放的设计,来探讨如何让书籍设计回归到以人为核心的位置。     

Seed-based authentication for mobile clients across multiple devices

Authenticating users for mobile cloud apps has been a major security issue in recent years. Traditional passwords ensure the security of mobile applications, but it also requires extra effort from users to memorize complex passwords. Seed-based authentication can simplify the process of authentication for mobile users. In the seed-based authentication, images can be used as credentials for a mobile app. A seed is extracted from an image and used to generate one-time tokens for login. Compared to complex passwords, images are more friendly to mobile users. Previous work had been done in seed-based authentication which focused on providing authentication from a single device. It is common that a mobile user may have two or more mobile devices. Authenticating the same user on different devices is challenging due to several aspects, such as maintaining the same credential for multiple devices and distinguishing different users. In this article, we aimed at developing a solution to address these issues. We proposed multiple-device authentication algorithms to identify users. We adopted a one-time token paradigm to ensure the security of mobile applications. In addition, we tried to minimize the authentication latency for better performance. Our simulation showed that the proposed algorithms can improve the average latency of authentication for 40% at most, compared to single-device solutions.     

低Cr-Mo-Re抗磨铸铁抛丸机叶片的生产研究

试制一种低Ｃｒ－Ｍｏ－Ｒｅ抗磨铸铁抛丸机叶片，代替青岛黄河铸造机械有限公司的叶片，新叶片的硬度ＨＲＣ≥６２，冲击值ＡＫ≥６（Ｊ）可代替购买的叶片，每年为工厂节省７０多万人民币。