An information system for village handpumps

The need for a computerised information system for handpumps installed in any state is brought out. A system with organisational and software aspects is presented. The organisational aspect covers the generation and transmission of data on handpumps at the users’ and the government level. The software consists of a Fortran program, data files, an updating program and a transaction file. The periodic updating of data files is discussed. The system output covers many items of vital information needed for formulating maintenance and research and development policies. A test run of the program with an arbitrarily selected data base is discussed.     

数据中心冷却系统的综合COP评价

数据中心冷却系统的耗电量约占数据中心总能耗的40%,建立数据中心冷却系统效率的评价体系对节能工作十分重要。本文提出了一种用于评价数据中心冷却系统综合COP的评价指标COPdc,基于冷却系统运行数据的仿真结果,验证了数据中心冷却系统综合COPdc的评价效果,并与PUE指标进行了对比分析。结果表明:在不同负载和温度条件下,COPdc的数值变化范围(4.51～5.44)比PUE大(1.19～1.23),能更明确展现数据中心冷却系统的耗电量变化,更适合作为衡量冷却系统能量使用效率的指标。本文提出的数据中心冷却系统综合COP评价方法可以量化的体现数据中心冷却系统的能效高低,相比PUE指标更具有针对性。     

Integrated nuclear data utilisation system for innovative reactors

A five-year research and development project on an integrated nuclear data utilisation system was initiated in 2002, for developing innovative nuclear energy systems such as accelerator-driven systems. The integrated nuclear data utilisation system will be constructed as a modular code system, which consists of two sub-systems: the nuclear data search and plotting sub-system, and the nuclear data processing and utilisation sub-system. The system will be operated with a graphical user interface in order to enable easy utilisation through the Internet by both nuclear design engineers and nuclear data evaluators. This paper presents an overview of the integrated nuclear data utilisation system, describes the development of a prototype system to examine the operability of the user interface and discusses specifications of the two sub-systems.     

A case study for quantifying system reliability and uncertainty

The ability to estimate system reliability with an appropriate measure of associated uncertainty is important for understanding its expected performance over time. Frequently, obtaining full-system data is prohibitively expensive, impractical, or not permissible. Hence, methodology which allows for the combination of different types of data at the component or subsystem levels can allow for improved estimation at the system level. We apply methodologies for aggregating uncertainty from component-level data to estimate system reliability and quantify its overall uncertainty. This paper provides a proof-of-concept that uncertainty quantification methods using Bayesian methodology can be constructed and applied to system reliability problems for a system with both series and parallel structures.     

An intelligent data base system for composite material selection in structural design

This paper describes the development of a prototype intelligent data base system for composite material selection in structural design. This intelligent system integrates the expert system with the data base system to provide decision making support systems that exhibit some forms of intelligence. The overall architecture of this system is illustrated. The present capabilities of this system are discussed and demonstrated with an example problem.     

Manufacturing system development framework using a data models driven approach

We report on a data models driven approach for the development of a manufacturing system framework. Relational data schemes are used for the creation of data models. A modular approach is adopted for the creation of complex manufacturing system configurations. Each module is created by selecting the appropriate resources from the data models and is represented as a standard module template in the module library for future use. Several modules can be integrated together through an automated guided vehicles system to model a complex manufacturing system. Each module is autonomous in creating and executing its plans, but cooperative with other modules to realize the system's overall goals. For effective control of parts in the system, an event-based simulation strategy is implemented. The developed algorithm can resolve the situations arising due to any deadlock or conflict during a simulation run. System data tables are regularly updated as and when an event occurs in the system. The updated information includes machine status, part location and status, and capacity status, etc. of all parts and resources. A case study comprising eight part types with five different flow patterns in a three-module system is taken to show the effectiveness of the proposed approach.     

Implementation of a versatile research data acquisition system using a commercially available medical ultrasound scanner

This paper describes the design and implementation of a versatile, open-architecture research data acquisition system using a commercially available medical ultrasound scanner. The open architecture will allow researchers and clinicians to rapidly develop applications and move them relatively easy to the clinic. The system consists of a standard PC equipped with a camera link and an ultrasound scanner equipped with a research interface. The ultrasound scanner is an easy-to-use imaging device that is capable of generating high-quality images. In addition to supporting the acquisition of multiple data types, such as B-mode, M-mode, pulsed Doppler, and color flow imaging, the machine provides users with full control over imaging parameters such as transmit level, excitation waveform, beam angle, and focal depth. Beamformed RF data can be acquired from regions of interest throughout the image plane and stored to a file with a simple button press. For clinical trials and investigational purposes, when an identical image plane is desired for both an experimental and a reference data set, interleaved data can be captured. This form of data acquisition allows switching between multiple setups while maintaining identical transducer, scanner, region of interest, and recording time. Data acquisition is controlled through a graphical user interface running on the PC. This program implements an interface for third-party software to interact with the application. A software development toolkit is developed to give researchers and clinicians the ability to utilize third-party software for data analysis and flexible manipulation of control parameters. Because of the advantages of speed of acquisition and clinical benefit, research projects have successfully used the system to test and implement their customized solutions for different applications. Three examples of system use are presented in this paper: evaluation of synthetic aperture sequential beamformation, transverse oscillation for blood velocity estimation, and acquisition of spectral velocity data for evaluating aortic aneurysms.     

OPSYN: A CAD BASED EXPERT SYSTEM FOR OPTIMUM STRUCTURAL SYNTHESIS

This paper presents an overview of an expert system, OPSYN, for optimum structural synthesis, with particular emphasis on the significance of the development environment for such systems. The knowledge base for this system includes rules for facilitating finite element modeling, optimum design modeling, and selection of optimization strategies and parameters. The environment for this development is an inference engine with both forward and backward reasoning capabilities, a detailed explanation facility, and an automated knowledge acquisition system with a knowledge base editor facility. The use of a computer aided design (CAD) interface with its significant data structure and graphics capabilities in the knowledge acquisition and knowledge representation process is demonstrated with this expert system.     

汽车衡软件作弊监控系统设计

针对目前汽车衡软件作弊问题,研制一套可在实际运行工况下实时监测称重数据的系统。该系统采用A/D称重模块测量重量参数,基于人机界面架构,应用组态软件开发设计,选用SD卡存储实时数据,结合3G通信模块实现数据信息的远程传输功能。测试结果表明:该系统不仅架构简单、工作稳定,而且各项指标均达到设计要求,具有良好的可靠性和应用前景。     

光学计量用高速线阵CCD数据采集系统设计

介绍一种采用高速线阵 CCD 数据采集系统的设计过程。通过一片 MicroChip 公司的在线可编程微控制器对采集系统进行控制,并用标准 RS232 串行接口与外部进行数据通信和控制。在时序逻辑设计中,较好地解决了数据的存储、读取和点像元数据连续监测。实际应用表明该系统能满足光学干涉计量中线阵 CCD 数据采集要求。由于可以对线阵 CCD 进行单点、多点和整块数据的读取处理,因而可适应于不同周期、不同像素数目的线阵 CCD 传感器,以满足多种不同需求。     

Connected digit speech recognition system for Malayalam language

A connected digit speech recognition is important in many applications such as automated banking system, catalogue-dialing, automatic data entry, automated banking system, etc. This paper presents an optimum speaker-independent connected digit recognizer for Malayalam language. The system employs Perceptual Linear Predictive (PLP) cepstral coefficient for speech parameterization and continuous density Hidden Markov Model (HMM) in the recognition process. Viterbi algorithm is used for decoding. The training data base has the utterance of 21 speakers from the age group of 20 to 40 years and the sound is recorded in the normal office environment where each speaker is asked to read 20 set of continuous digits. The system obtained an accuracy of 99.5 % with the unseen data.     

汽车零部件包装数据智能管理系统的开发与应用

目的 为实现汽车零部件包装设计高效化、包装管理精益化及数据化,开发一套零部件包装数据智能管理系统。方法 在对零部件包装设计及包装方案管理现状进行分析的基础上,明确系统的开发目标,即包装方案的数据化、BOM化、版本化以及标准化,并基于创建包装视图、重构零部件存储库、搭建相似包装方案重用逻辑、分类存储包装文档等方法,开发智能管理系统,并打通该系统与采购系统、工艺系统的数据接口,实现全流程数据交互。结果 系统上线后,零部件包装数据管理水平得到了有效提升。结论 所述包装数据管理系统作为支持企业迈向智能制造的底层数据管理方式是有效可行的。     

叶尖定时旋转叶片实时振动测量技术

设计了一套基于叶尖定时传感的旋转叶片振动测量系统。系统主要由光电传感系统、数据采集与预处理系统、叶片振动数据处理系统三部分组成。叶尖定时传感器采用单根光纤发射、多光纤接收的 Y 型结构,并用高性能专用集成芯片完成弱光信号的放大检测,使传感器信噪比大于500,信号带宽大于 50MHz。利用 CPLD 和 DSP 技术,实现了叶尖定时信号的高速实时采集与处理;建立了同步共振条件下叶片振动的数据处理模型,实现了叶片振动的实时监测。整套测量系统在现场某大型压气机上进行了原理性验证,在转速高达 9210rpm的情况下测得的同步共振最大幅值为 0.4231mm,接近于同等条件下国外的测量结果,从而验证了整套测量系统的可靠性。     

大型建筑结构健康监测的海量数据处理与数据库开发研究

在大型建筑的结构健康监测中,要对大量不同类型的传感器采集到的数据信号进行处理。基于Oracle数据库开发平台,根据各传感器的分类、采集的时间,建立相应的数据库系统。该系统能有效地对采集到的海量数据进行存储、管理、查询及异常数据的预警处理。将着重介绍该数据库系统的功能、特点、结构以及系统的框架组成,并以振弦式应变传感器采集到的数据信号的实例描述该系统处理海量数据的特点。     

A product-configuration-driven system for assembly planning within a product data management environment

This paper describes the results of a project sponsored by the Engineering and Physics Science Research Council (EPSRC) in collaboration with leading engineering and consultant companies, which is aimed at developing new methodologies for Computer-Aided Assembly Process Planning (CAAPP). The aims of this project were to investigate contemporary industrial requirements for CAAPP, study the feasibility of integrating CAAPP with data management tools via a product model and review current state-of-the-art systems and methodologies. The research has been focused on finding solutions to some of the limiting factors that have kept CAAPP an immature technology for many years. The deliverable of the research project is a novel assembly planning system, which has been developed in a Product Data Management (PDM) environment. The system takes the product configuration model derived from the PDM system as the input. This input is analysed by the system using intensive built-in knowledge to yield detailed assembly plans. The system achieves integration of CAAPP functionality with a PDM tool, providing a data control framework and a high-level data structure to form the basis of planning. The prototype system has an automatic planning module and an interactive planning sub-system that complements it. The interactive planning module also allows the user to capture the assembly knowledge and model it as a flowchart in the system. As fully automatic planning is a new field, comparison of automatically generated results with those of the semiautomatic system help to evaluate the system and build up user confidence.     

Attack–norm separation for detecting attack‐induced quality problems on computers and networks

Cyber attacks on computer and network systems induce system quality and reliability problems, and present a significant threat to the computer and network systems that we are heavily dependent on. Cyber attack detection involves monitoring system data and detecting the attack‐induced quality and reliability problems of computer and network systems caused by cyber attacks. Usually there are ongoing normal user activities on computer and network systems when an attack occurs. As a result, the observed system data may be a mixture of attack data and normal use data (norm data). We have established a novel attack–norm separation approach to cyber attack detection that includes norm data cancelation to improve the data quality as an important part of this approach. Aiming at demonstrating the importance of norm data cancelation, this paper presents a set of data modeling and analysis techniques developed to perform norm data cancelation before applying an existing technique of anomaly detection, the chi‐square distance monitoring (CSDM), to residual data obtained after norm data cancelation for cyber attack detection. Specifically, a Markov chain model of norm data and an artificial neural network (ANN) of norm data cancelation are developed and tested. This set of techniques is compared with using CSDM alone for cyber attack detection. The results show a significant improvement of detection performance by CSDM with norm data cancelation over CSDM alone. Copyright © 2006 John Wiley & Sons, Ltd.     

Modeling imperfectly repaired system data via grey differential equations with unequal-gapped times

In this paper, we argue that grey differential equation models are useful in repairable system modeling. The arguments starts with the review on GM(1,1) model with equal- and unequal-spaced stopping time sequence. In terms of two-stage GM(1,1) filtering, system stopping time can be partitioned into system intrinsic function and repair effect. Furthermore, we propose an approach to use grey differential equation to specify a semi-statistical membership function for system intrinsic function times. Also, we engage an effort to use GM(1,N) model to model system stopping times and the associated operating covariates and propose an unequal-gapped GM(1,N) model for such analysis. Finally, we investigate the GM(1,1)-embed systematic grey equation system modeling of imperfectly repaired system operating data. Practical examples are given in step-by-step manner to illustrate the grey differential equation modeling of repairable system data.     

煤矿井下人员定位系统的设计

针对我国煤矿安全现状,研究确定了一种基于RFID和嵌入式技术的煤矿井下人员定位系统,详细介绍煤矿井下人员定位系统的主要结构和工作原理。整个系统采用无线数据采集,有线传输的方式;每名井下人员配有一身份码发送器,通过发送无线信号把自身的人员编号发送出去,井下沿巷道设置身份码监测站通过接收无线信号来收集人员信息数据;井下各个监测站收集到的数据通过电缆传至地面主机,由主机完成对数据的分析、处理和存储;地面主机和井下各监测站采用CAN现场总线协议连接构成一个完整的系统。     

An RFID-based power meter and outage recording system

Radio frequency identification (RFID) is looked upon as one of the top ten important technologies of the twentieth century. In coming years, public area applications are the key issue in developing RFID. Power systems are innately bulky, large, and definitely, an extremely important application area for RFID. In power areas, RFID has great potential to be applied extensively to customers. Therefore, an RFID-based power meter and outage recording system is proposed in this article. The proposed system can be used to fully collect and record power consumption data and power reliability information on customers. A small-scale power meter and outage recorder is designed first and then an RFID system is designed and embedded into the power meter and employed to record the power data in tags. A handheld meter management system is also designed in this article to collect the data stored in the tags and synchronize the collected data with rear-end processing if necessary. Due to the uniqueness of RFID tags, the power consumption data and outage information on customers can be recorded and then identified in a rear-end processing system. Experimental results show the validity of the proposed system.     

通用数据质量评分系统的研究与设计

本文针对如何对不同批次、来源的特定数据进行质量评价和量化的问题,提出了一种涵盖准确性、完整性和时效性三方面的数据质量指标体系,设计了具体量化评分方法,实现了一个自动评分与人工评分相结合的通用数据质量评分系统.实际应用表明,该系统指标体系合理、评分结论可信,在推进数据质量提高方面具有重要作用.