基于Light GBM与组合赋权的库存电表资产精益化管理

为提高电能表库存资产管理水平,以某公司各县级库房为例,分析库房管理风险和资产账实风险。使用Light GBM算法建立异常资产识别模型,能在电能表计量数据中准确识别出异常的电表资产,准确度达91%,查全率为72%。构建库房风险评价指标体系,使用组合赋权评价库房管理风险,评价结果与预期一致。该方法可支撑库房资产盘点和库房管理绩效考核,提升库存管理的智能化程度。     

媒体资产管理系统中的视频图像质量评价研究

首先介绍了图像质量的主观评价和客观测量方法,具体分析了双刺激连续质量标度法和双刺激损伤标度法,根据媒资系统中各种视频图像的不同特点,针对性地提出了对应的图像质量评价方法,为当前电视台媒资系统性能的测试与评价提供参考。     

靶场媒体资产管理系统发展趋势

随着科学技术的飞速发展和靶场信息化建设的需要,靶场声像信息媒体资源的整合被提升了前所未有的高度。靶场的声像信息管理争议媒体资产为中心,向数字化、网络化迈进。主要介绍了靶场媒体资产管理系统的构成和关键技术。展望了媒体资产管理系统的发展趋势,并对现在媒体资产管理系统有待完善的方面提出了几点建议。     

西方国家质量管理新趋势及对我之挑战

从四个方面分析了西方国家质量管理出现的新趋势及对我国经济的影响和我们应采取的对应措施。     

Condition grading for dysfunction indicators in sewer asset management

Asset management is an increasing concern for the water and wastewater industry. Condition assessment of sewer segments is an important component of sewer asset management and relies mostly on visual inspection. Observed defects are translated into a score for each segment. Although most protocols give a segment a condition grade by comparing its score with a subjective scale of numerical values, we propose a protocol to calibrate thresholds for each asset stock. Thresholds are calculated according to two sets of parameters: overall condition of the asset stock in question (estimated by a representative sample or provided by the utility manager) and assignment-error weighting (determined by the utility manager) linked to either over-estimation or under-estimation of condition grade. This method is applied to 150 km of sewers from the Greater Lyon asset stock. Sensitivity analyses of these parameters are then implemented. Three hypotheses about overall condition of the asset stock are combined with three matrices of assignment-error weights. Both parameters influence thresholds and change the assessment of the studied segments. The synthesis of such sensitivity analyses can be used to prioritise complementary investigations.     

基于web的高校资产管理系统设计

资产管理是高校日常管理的重要组成部分,在信息技术快速发展的背景下,高校资产管理系统的设计将会变得更加重要。网络技术和数据技术在高校资产管理系统中的应用是今后发展的必然结果。高校资产管理面临着全新形势,在新形势下只有不断创新,设计出完善的高校资产管理系统才能够保证高校的正常运行。本文将重点探讨如何实现基于web的高校资产管理系统的设计。     

Benefits of using basic,imprecise or uncertain data for elaborating sewer inspection programmes

One key goal of sewer inspection programmes is to target segments in the worst condition. Despite the development of deterioration models, the influence of available data on models’ predictive power has not been studied in depth yet. In this article, numerical experiments have been conducted to answer three main questions: (1) How can the data most probably available within a utility be used to define an effective inspection programme? (2) Can we use an auxiliary variable in order to compensate effects of missing data on inspection programmes? (3) Is it worth to accept a degree of uncertainty within data instead of not having them? In other words, is it preferable to have uncertainty instead of incompleteness within utility database? In order to respond to these questions, we considered an asset stock and then degraded the information by introducing uncertainty, imprecision and incompleteness within, to form a utility's database. The results show that significant improvement of inspection programmes could be achieved by using the most probably available data within utilities. We also show that using the notion of ‘district’ can provide efficient results when the most informative factor ‘age’ is not available. Finally, it is shown that having uncertain data is preferable to having incompleteness.     

固定资产投资管理数据仓库模型

介绍固定资产投资管理信息化建设中的必要性及数据仓库技术在固定资产投资管理信息化建设中的重要性。在概念模型基础上进行粒度的划分、表中数据的提炼和逻辑关系模式的定义,由此设计逻辑模型。通过实例提供固定资产投资管理数据仓库的设计与实现的一种思路,为数据仓库技术在固定资产投资管理信息化建设中的应用奠定基础。     

回归分析在水泥市场预测中的应用

回归分析法、弹性系数法、指数平滑法、移动平均法等是市场分析预测中常用的方法。本文介绍了其中的回归分析法,并就其在水泥市场预测中的具体应用进行了探讨。选取了四川省1988-2002年全社会固定资产投资与水泥需求量作为两个变量,验证了这两个变量之间的相关关系及相关程度,在确立了因变量(Y)和自变量(X)之后,通过回归检验并建立回归模型来分析预测了四川省2010年的水泥需求的点预测值及置信区间预测值。     

基于灰色模型的滚动轴承剩余寿命预测

为准确地对滚动轴承的剩余寿命进行预测,提出了一种基于灰色模型(grey model,GM)的预测方法。首先,计算滚动轴承的全寿命周期的评估指数(confidential value,CV);其次,以滚动轴承的CV值序列建立灰色预测模型,获取灰参数;最后进行迭代运算获得滚动轴承CV值的预测值,并计算其剩余寿命。预测结果表明,该预测方法获得的预测数据与实际情况贴合度比较高,可以应用到滚动轴承的故障诊断项目中。