智能电网建设时期的需求侧管理

电力需求侧管理从20世纪70年代以来已经逐渐成为发达国家电力行业规范管理模式,我国目前处在发展时期。国家电网“建设坚强的智能电网”工作针对需求侧管理制定“全覆盖、全采集、全预付费”的总体目标,这是智能电网建设的重点环节,其推行对智能电网建设的目标起着举足轻重的作用,建设与发展必须与智能电网的长远规划保持高度一致。本文分析了传统需求侧管理的特点及局限性,以及为配合智能电网建设工作的开展,基于智能电网构架下电力需求侧管理所需的技术变革。     

智能电网建设的产业带动效应分析

电网在电力工业运行中处于枢纽和中介地位,是国民经济的重要组成部分。自然垄断性决定了电网建设具有范围经济性、规模经济性。根据乘数效应,对电网的投资将带动相关产业的发展。智能电网投资建设将在扩内需、调结构和促发展方面发挥重要作用。     

坚强智能电网是建设陕西能源强省的重要依托

文章结合智能电网的研究,详细分析了陕西资源和经济发展的突出特征,结合智能电网建设对陕西新能源接入的影响,分析了坚强智能电网对陕西实现资源转化,确立能源强省战略的推动作用。     

基于命令的多智能体组织模型研究

针对经典的BDI模型并不能很好地描述Agent的思维状态的问题.提出了一种基于命令的BGC模型,能够对Agent的行为意图和社会属性如命令、义务等进行描述.对群体思维状态进行了分析,构造了一种面向命令和角色的MAS组织结构COS,对角色任务关系和组织形成过程等进行了描述.实际仿真应用表明,BGC模型及COS组织结构能够较好地满足CMAS对灵活性和可靠性的要求.     

道路交通状态预测研究

针对道路交通状态预测的研究成果,综述了基于实时数据分析的道路交通状态预测理论和方法的相关研究.从分析基于实时数据分析的道路交通预测的基本流程、特点和要求和单一断面交通状态预测和多断面交通状态预测角度回顾了道路交通状态预测的研究现状.结果表明:在不断发展完善单一断面预测方法的同时,需要发展以多个断面交通状态为研究对象的多断面预测方法,以促进我国智能交通系统的基础理论发展及其应用水平的提高.     

基于ARM9大功率半导体照明器智能驱动的开发

介绍了三星公司ARM9微处理器S3C2410A,并将其作为开发平台应用到大功率半导体照明器智能驱动的软硬件设计中,详细给出了系统的硬件结构和软件流程图,并利用积分分离的PID控制算法执行脉宽调制,开发出输出电流偏差小于0．9％,输出功率高达120W的高效半导体照明器的智能恒流驱动,该套驱动装置已得到应用,效果稳定。     

Similarity identification method on formational interfaces and application in general granite

An instrumented drilling system can be applied for the acquisition of drilling process parameters.The system can provide continuous and huge data for geotechnical engineering.However, due to the complexity of ground strata, the variation in the drilling parameters with stratigraphical characteristics is great and the correlation between likely comparable parameters is not high, which limits the use of conventional correlation approaches in this field.How to use the data for engineering and how to get a reasonable interpretation for the relationships among the drilling parameters, as well as between a drilling parameter and formational character-istics, become a technical choke point for the development and application of the instrumented drilling system.Based on similarity criteria, the extraction of sample data and characteristics, the pretreatment of data and feature matching algorithms have been ana-lyzed and an approach of slope coefficient searching identification has been established.A case study was carried out for the similar-ity between the rotational speed of the drill bit, flushing pressure, and effective thrust force graphics in general weathered granite.The result shows that the similarity coefficients between the rotational speed of the drill bit, flushing pressure, and effective thrust force are 0.72 and 0.83, respectively.Although there are differences between the distances of the graphics, the curves of both rota- tional speed and flushing pressure agree with the effective thrust curve in shape, which provides a possible method for the identifica- tion of various formations by use of the similarity between feature drilling parameters.     

A recognition method of vibration parameter image based on improved immune negative selection algorithm for rotating machinery

To overcome the limitations of traditional monitoring methods, based on vibration parameter image of rotating machinery, this paper presents an abnormality online monitoring method suitable for rotating machinery using the negative selection mechanism of biology immune system. This method uses techniques of biology clone and learning mechanism to improve the negative selection algorithm to generate detectors possessing different monitoring radius, covers the abnormality space effectively, and avoids such problems as the low efficiency of generating detectors, etc. The result of an example applying the presented monitoring method shows that this method can solve the difficulty of obtaining fault samples preferably and extract the turbine state character effectively, it also can detect abnormality by causing various fault of the turbine and obtain the degree of abnormality accurately. The exact monitoring precision of abnormality indicates that this method is feasible and has better on-line quality, accuracy and robustness.     

嵌入式系统在智能服装中的应用

从改进服装功能的角度出发,针对一些功能服装在实用性方面的不足,提出了一种智能服装的设计方案与实施方法,并将嵌入式系统及自动控制技术应用于服装制作中.穿着测试表明:此款服装实现了自动保暖、调温和去湿功能,为有效提升服装功能的电子智能化水平提供了新途径.     

商务智能、归纳逻辑与统计学的关联研究

商务智能是提高企业竞争能力的一种建设方案,其主要技术包括数据仓库、数据挖掘和联机分析等。举例说明了商务智能技术在客户关系管理中的应用。对案例的分析表明,商务智能技术的基础是统计学和归纳逻辑。作为传统哲学分支的归纳逻辑学,以现代统计学作为中介,在经济学领域的商务智能中找到了应用。深入探讨这三个截然不同的学科之间的密切关系,不仅将有助于商务智能及其应用开发的研究,从而推动我国经济和社会的发展,而且也会给统计学和归纳逻辑学理论的研究带来深远的影响。