集管系统压力与流量分布的研究——(Ⅰ)U型布置时的分析解

根据基本的质量和动量守恒定律建立Ｕ 型布置时集管系统压力与流量分布的数学解析模型。将微分方程式无量纲化并从中导出一个综合反映集管系统流量分布状态的性能参数β。对于联箱阻力远远低于支管阻力的情况，得出相应于不同β的分析解。对影响集管系统的压力、流量分布的主要因素及各项参数的物理意义作了详细的分析讨论，得到对集管系统的设计有指导意义的结论。

集管系统压力与流量分布的研究(II)——Z型布置时的分析解

建立了Z型布置时集管系统压力与流量分布的数学模型 ,在对微分方程进行无量纲化的过程中导出了一个重要的综合性无量纲性能参数。方程解的结果表明利用这个综合参数可以快速确定在联箱摩擦阻降相对很小条件下集管系统的流量分布状态和总压降 ;对集管系统采用Z型与U型布置导致的流量分布特性的差异作了分析 ;

太阳能集管系统流量分配的理论和实验研究

集管系统在各类换热系统中具有广泛的运用,支管流量分配不均是集管系统的基本问题,流量分配不均对集管系统泵功消耗有较大的影响,因此集管系统内部流量分配的准确预测及优化至关重要。本文以常见的平板太阳能集热器为研究对象分析集管系统流量分布不均的问题,应用经典流体力学公式,通过连续性方程、能量守恒及动量守恒定律建立系统内部压力、流动阻力以及流量分配通用数学模型,编写C程序数值求解集热器系统压力与流量的分布规律并进行实验验证,结果表明:通过建立流量分配模型可以准确预测集管系统内的流动状况。集热器系统压力流量分布的理论预测模型具有广泛的适用性,对预测工业锅炉系统、太阳能集热系统及各种集管系统的流动阻力、流量分配及压力分布具有重要的借鉴意义。

New battery management system for multi-cell li-ion battery packs

This paper proposes a new battery management system （BMS） based on a master-slave control mode for multi-cell li-ion battery packs. The proposed BMS can be applied in li-ion battery packs with any cell number. The whole system is composed of a master processor and a string of slave manager cells （SMCs）. Each battery cell corresponds to an SMC. Unlike the conventional BMS, the proposed one has a novel method for communication, and it collects the battery status information in a direct and simple way. An SMC communicates with its adjacent counterparts to transfer the battery information as well as the commands from the master processor. The nethermost SMC communicates with the master processor directly. This method allows the battery management chips to be implemented in a standard CMOS （ complementary metal-oxide-semiconductor transistor） process. A testing chip is fabricated in the CSMC 0.5 μm 5 V N-well CMOS process. The testing results verify that the proposed method for data communication and the battery management system can protect and manage multi-cell li-ion battery packs.

勇于开拓的带头人——访上海宝源五金厂厂长任荣祥

1986年,上海市集管系统有相当一部分企业生产不景气,有的甚至严重亏损。到十一月初,上海市街道工厂中的亏损单位达二百多家,约占22％。但是,上海宝源五金厂却截然相反,产值、利润直线上升。这家仅300人的小厂,1986年上半年,夺得产值130万元,利润29.6万元的高效益。在集体企业不景气的状况下,宝源五金厂为什么却能一枝独秀呢?带着这个问题,我特地采访了该厂厂长任荣祥同志。这家颇有名气的工厂。

Integrating Activity-Based Costing （ABC） and Theory of Constraint （TOC） for Improved and Sustained Cost Management

Implementing effective cost management approaches has recently gained momentum due to intense competition and increasing customer demands. Moreover, effective cost management approaches have contributed to firms＇ competitive advantage in relation to cost leadership strategy. Consequently, firms have implemented contemporary cost management systems, such as activity-based management, business process re-engineering, life-cycle costing, target costing, and theory of constraint （TOC）, to enable them to become low-cost producers and compete effectively and sustain their performance. Furthermore, focusing on cost management to improve profitability has led to the integration of activity-based costing （ABC） and TOC. Therefore, the aim of this study is to review literature and discuss how integration of ABC and TOC can result in improved and sustained cost management. While these methods have different approaches in addressing cost management, treating them as complementary cost management approaches can result in improved cost management due to improved product costing, improved cost reporting, improved product-mix decisions, and improved cycle-time management. Improvement in cost management will then result in sustained cost management. Sustained cost management is further enhanced with the investment in information customer and shareholder value technology that supports cross-functional decision making to continue creating to remain competitive in the market.

The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm

Secure storage yard is one of the optimal core goals of container transportation;thus,making the necessary storage arrangements has become the most crucial part of the container terminal management systems（CTMS）.This paper investigates a random hybrid stacking algorithm（RHSA） for outbound containers that randomly enter the yard.In the first stage of RHSA,the distribution among blocks was analyzed with respect to the utilization ratio.In the second stage,the optimization of bay configuration was carried out by using the hybrid genetic algorithm.Moreover,an experiment was performed to test the RHSA.The results show that the explored algorithm is useful to increase the efficiency.

Study on complexity of Sutong Bridge's objectives system and its meta-synthesis management

Objectives define the boundaries of complex engineering system.It is a hard work to identify the specific objectives of a complex engineering system.The objectives system development needs a complicated process,from nix to prototype,and to final definition.The total process will cover the following course:from chaos to well-ordered;from qualitativeness to combination of quantitativeness and qualitativenss,then from qualitativeness to quantitativeness(a recurrent process),expert experience and theoretical science,rationality and sensibility,synthesis analysis and meta-synthesis,routinization and non-routinization.Such process is explicit in phase development yet overlapped;mutually confined yet mutually independent;permeated conflicts yet pregnant in harmony.This article explores the complexity of Sutong Bridge's objectives development and the process of meta-synthesis in the Sutong Bridge engineering.

Model of Integrated Management System for Quality and Food Safety of Biscuit Products

The revised version of ISO 9001：2015 places a demand before many food producers to face the problem of updating the old or developing new food quality and safety management systems. In order to help the organizations in this endeavor, this paper presents a model for planning and implementation of IMS （integrated management system） for quality and food safety, using the example of biscuit products manufacturing, and explains its conception. The integrative approach is based on the synergetic effect between the mutually related business processes. It has been established that the introduction of the model can help the biscuit producers in efficiently addressing such challenges as limited resources, increasing competition, as well as higher expectations of customers and other stakeholders.

RECENT PROGRESS IN MULTI-BEAM KLYSTRON IN IECAS

Recent research progresses in Multi-Beam Klystron (MBK) in IECAS are briefly introduced in the letter. The S-band MBKs of IECAS have peak power of 120-250 kW, average power of 4-9 kW, efficiency of 35-45%, gain of 41-46 dB, beam voltage of 15-19 kV, and weight of 40-45 kg. Some key technical problems of MBK are also described and discussed. Among them,improving the design of MBK to obtain the required bandwidth, raising beam transmission to increase average power, eliminating oscillation and spray spectrum, overcoming window breakdown caused by magic mode, reducing breakdown times of electrongun, are most important things for the practical MBK. Besides, further research work in MBK in IECAS is commented.

Scalable group management in large-scale virtualized clusters

To save cost, more and more users choose provision resources at the granularity of virtual machines in cluster systems, especially data centres. Maintaining a consistent member view is the foundation of reliable cluster managements, and it also raises several challenge issues for large scale cluster systems deployed with virtual machines （which we call virtualized clusters）. In this paper, we introduce our experience in design and implementation of scalable member view management on large-scale virtual clusters. Our research contributions include three-aspects ： 1 ） we propose a scalable and reliable management infrastructure that combines a peer-to-peer structure and a hierarchy structure to maintain a consistent member view in virtual clusters; 2 ） we present a light-weighted group membership algorithm that can reach the consistent member view within a single round of message exchange; 3 ） we design and implement a scalable membership service that can provide virtual machines and maintain a consistent member view in virtual clusters. Our work is verified on Dawning 5000A, which ranked No. 10 of Top 500 super computers in November, 2008.

Management Procedures for Data Collected via Intelligent Transportation Systems

Addressing transportation planning, operation and investment challenges requires increasingly sophisticated data and information management strategies. ITS （intelligent transportation systems） and CV （connected vehicle） technologies represent a new approach to capturing and using needed transportation data in real time or near real time. In the case of Michigan, several ITS programs have been launched successfully, but independently of each other. The objective of this research is to evaluate and assess all important factors that will influence the collection, management and use of ITS data, and recommend strategies to develop integrated, dynamic and adaptive data management systems for state transportation agencies.

Experimental assessment of two-phase bubble pump for solar water heating

The research goal is to develop a new solar water heater system(SWHS) that uses a solar bubble pump instead of an electric pump.The pump is powered by the steam produced from an evacuated tube collector.Therefore,heat could be transferred downward from the collector to a hot water storage tank.The designed system consists of two sets of heat-pipe evacuated tube collectors,a solar bubble pump installed at an upper level and a water storage tank with a heat exchanger at a lower level.Discharge heads of 1 and 5 m were tested.The bubble pump could operate at the collector temperature of about 90-100 ℃ and vapor gage pressure of 80-90 kPa.It is found that water circulation within the SWHS depends on the incident solar intensity and system discharge head.Experimental investigations are conducted to obtain the system thermal efficiencies from the hourly,daily and long-term performance tests.The thermal performance of the proposed system is compared with conventional solar water heaters.The results show that the proposed system achieves system characteristic efficiency of 10% higher than that of the conventional systems using electric pump if taking the consumption of electric power into account.And the former is a zero carbon system.

Integration of Individualized Management Systems （MSs） as an Aggregating Factor of Sustainable Value for Organizations An Overview Through a Review of the Literature

Nowadays, there exist various standards for individual management systems （MSs）, at least, one for each stakeholder. New ones will be published. An integrated management system （IMS） aims to integrate some or all components of the business into one coherent and efficient MS. Maximizing integration is more and more a strategic priority in that it constitutes an opportunity to eliminate and/or reduce potential factors of destruction of value for the organizations and also to be more competitive and consequently promote its sustainable success. A preliminary investigation was conducted on a Portuguese industrial company which, over the years, has been adopting gradually, in whole or in part, individualized management system standards （MSSs）. A research, through a questionnaire, was performed with the objective to develop, in a real business environment, an adequate and efficient IMS-QES （quality, environment, and safety） model and to potentiate for the future a generic IMS model to integrate other MSSs. The strategy and research methods have taken into consideration the case study. It was obtained a set of relevant conclusions resulting from the statistical analyses of the responses to the survey. Globally, the investigation results, by themselves, justified and prioritized the conception of a model of development of the IMS-QES and consequent definition and validation of a structure of an IMS-QES model, to be implemented at the small- and medium-sized enterprise （SME） where the investigation was conducted.

Data Reconstruction in Internet Traffic Matrix

Traffic matrix is an abstract representation of the traffic volume flowing between sets of source and destination pairs.It is a key input parameter of network operations management,planning,provisioning and traffic engineering.Traffic matrix is also important in the context of OpenFlow-based networks.Because even good measurement systems can suffer from errors and data collection systems can fail,missing values are common.Existing matrix completion methods do not consider traffic exhibit characteristics and only provide a finite precision.To address this problem,this paper proposes a novel approach based on compressive sensing and traffic self-similarity to reconstruct the missing traffic flow data.Firstly,we analyze the realworld traffic matrix,which all exhibit lowrank structure,temporal smoothness feature and spatial self-similarity.Then,we propose Self-Similarity and Temporal Compressive Sensing(SSTCS) algorithm to reconstruct the missing traffic data.The extensive experiments with the real-world traffic matrix show that our proposed SSTCS can significantly reduce data reconstruction errors and achieve satisfactory accuracy comparing with the existing solutions.Typically SSTCS can successfully reconstruct the traffic matrix with less than 32%errors when as much as98%of the data is missing.

Research on Resources Integration of the Fourth Party Logistics based on Multiple Agent

The key of the effective operation for the fourth party logistics is to integrate logistics resources with supply chain management concept and technology. According to the essence of the fourth party logistics resources integration, understand the characteristics of complexi .ty, the virtual and dynamic and so on, the paper analyzed the three kinds of Agent attribute for fourth party logistics resources integration system using the Agent technology and the principle, and then puts forward the fourth party logistics resources integration model of based on multi Agent.

Roadroid： Continuous Road Condition Monitoring with Smart Phones

Road condition is an important variable to measure in order to decrease road and vehicle operating/maintenance costs, but also to increase ride comfort and traffic safety. By using the built-in vibration sensor in smart phones, it is possible to collect road roughness data which can be an indicator of road condition up to a level of Class 2 or 3 in a simple and cost efficient way. Since data collection therefore is possible to be done more frequently, one can better monitor roughness changes over time. The continuous data collection can also give early warnings of changes and damage, enable new ways to work in the operational road maintenance management, and can serve as a guide for more accurate surveys for strategic asset management and pavement planning. Collected measurement data are wirelessly transferred by the operator when needed via a web service to an internet mapping server with spatial filtering functions. The measured data can be aggregated in preferred sections, as well as exported to other GlS （geographical information systems） or road management systems. Our conclusion is that measuring roads with smart phones can provide an efficient, scalable, and cost-effective way for road organizations to deliver road condition data.

Design of ADCS for Efficient Meter Data Collection and Management

ADCS （automated data collection system） is the element of MDMS （meter data management system） and a module in charge of collecting the data from DCUs （data collection units） or meters in AMI （advanced metering infrastructure）-based interactive two-way communications infrastructure. In this study, ADCS＇s functions for K-AMI （Korean Advanced Metering Infrastructure） were analyzed and the logical design of ADCS which is suitable for the requirements was suggested. A massive data collection and management functions was defined as very important functions of ADCS to meet optimal data processing mechanism. ADCS was designed for support about the fuctions of data collection and transfer, large capacity data processing, interactive services, parallel processing, etc.. Also, ADCS has roles of protocols exchange and gateway for service support in addition to data collection in AMI environment.

Study on Smart Grid Technology based on Intemet of Things

The paper design integrated management platform that include network equipment, network communication, perception of data fusion, the application platform of four levels that achieve complete smart grid operation management system. Internet information support system through integration and integration on the grid basic information hierarchical get longitudinal and horizontal information integration, to provide reliable information support for smart grid.