基于网络的变电站远程维护系统的开发

通过对变电站远程维护系统开发现状的分析，提出了变电站远程维护系统需要实现的功能。应用电力远动技术和计算机远程控制技术，实现了一个变电站远程维护系统原型，为今后使用系统的开发应用提供了思路和启发。     

An overview of time-based and condition-based maintenance in industrial application

This paper presents an overview of two maintenance techniques widely discussed in the literature: time-based maintenance (TBM) and condition-based maintenance (CBM). The paper discusses how the TBM and CBM techniques work toward maintenance decision making. Recent research articles covering the application of each technique are reviewed. The paper then compares the challenges of implementing each technique from a practical point of view, focusing on the issues of required data determination and collection, data analysis/modelling, and decision making. The paper concludes with significant considerations for future research. Each of the techniques was found to have unique concepts/principles, procedures, and challenges for real industrial practise. It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one. However, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions. The paper provides useful information regarding the application of the TBM and CBM techniques in maintenance decision making and explores the challenges in implementing each technique from a practical perspective.     

后备电池远程监控及自动维护系统设计

针对维护人员无法获得矿用后备电池实时工作状态的问题,设计了后备电池远程监控及自动维护系统。该系统将井下电源箱后备电池的运行信息上传至地面中心站进行实时监控;通过中心站向电源箱发送放电维护指令,实现自动维护功能。该系统的应用可降低企业维护成本,提高后备电池管理水平。     

具有高速远程通信功能的工业ERT系统设计

针对多相流远距离可视化测试问题,提出一种具有高速远程通信功能的工业电阻层析成像（ ERT）系统。该系统采用现场单元和主控单元异地光纤高速通信方案,通过光纤收发电路与高速传输协议逻辑设计,实现系统高速远程通信功能。通过现场单元串行采集方案电路设计,使系统结构更加紧凑、可靠性更高。通过现场可编程门阵列（ FPGA）数字化信号处理和异步缓存逻辑设计,使系统远程数据采集更为精确完整。通过测试实验和图像重建,验证所建立系统的性能,系统光纤传输线速率达625 Mbps,误码率低于10－12,测量重复性和成像速率指标满足工业应用需求,系统具备远程可视化测量能力。     

A refinement framework to support validation and maintenance of knowledge-based systems

In this article, we argue that a refinement tool capable of assisting the maintainer of a Knowledge-Based System (KBS) with updating and upgrading of its knowledge base can substantially expand the scope of his activities and prolong the life of the system. We show that refinement tasks involved in KBS maintenance are similar to those taking place at the development stage, and thus a uniform refinement framework can be designed to support both activities. After defining refinement tasks expected to take place at different stages of a KBS's life cycle, we present a refinement framework capable of supporting them. It utilizes a small number of domain-independent heuristics to search for possible rule revisions which are expected to eliminate errors detected during KBS validation. An extended example is given to illustrate how different refinement tasks are carried out.     

基于MATLAB Web Server的发酵生产远程调度优化系统的开发

介绍了基于MATLAB Web Server的发酵生产远程调度优化系统的开发过程.该系统旨在为发酵生产提供实时、优化的解决方案,它利用MATLAB Web Server组件,将MATLAB科学计算软件与Internet网络无缝结合,从而实现生产调度优化方案的远程在线生成.仿真运行结果表明,应用该系统可以得到满足资源约束条件的生产调度方案,提高了调度工作的效率.     

From the specification to the implementation of norms: an automatic approach to generate rules from norms to govern the behavior of agents

Open multi-agent systems composed of heterogeneous, autonomous and independently designed agents are usually governed by a set of norms. The established norms regulate the behavior of the agents by pointing out their permissions, prohibitions and obligations. This paper presents a normative language to specify norms and proposes the implementation of such norms by using a rule-based system. The implementation is achieved by automatically transforming the specification of each norm of the system into a set of rules used to govern the behavior of the agents according to the norm. The governance system is able to activate and deactivate norms, to point out the norms violations and fulfillments and to inform about punishments and rewards.     

利用反射技术实现一种新型软件系统维护模型

在深入研究.NET反射技术基础上,结合.NET框架结构的特性,从资源整合的角度,探索性地提出了一种新型的软件系统维护模式,保证了复杂的大型系统维护的高效性和经济性,具有很大的实际意义。     

浅谈学校计算机网络机房的管理和维护

公共机房的管理与维护是保证学校正常教学活动的基础工作.科学的管理,会使机房维护工作事半功倍.本文根据笔者在中学公共机房十多年来的工作经验,通过对公共机房的软件、硬件设备的管理,系统的维护等方面详尽的阐述,并对在机房管理与维护中经常遇到的问题及解决方法总结出几点建议,可有效提高计算机机房的管理效率.     

Operating-system enhancements for a faulttolerant dual-processor structure for the control of an industrial process

A dual processor structure and operating system enhancements are described. These permit the construction, from available minicomputers, of a fualt-tolerant system for the control of an industrial process.     

The design of technical artifacts with regard to work experience: The development of an experience-based documentation system for maintenance workers

The German discussion about experience-guided work has led to the question of how work experience can be regarded within the process of designing technical artifacts. This paper offers a solution for the area of skilled maintenance work. Some considerations about the nature of experience and about the problems skilled workers have in aquiring work competences within computer aided production environments are introduced in order to illustrate the design philosophy: A decision-support-system is described which stimulates workplace learning by enabling previous and present users of the system, including maintenance staff and shop floor workers, to exchange and build on experience.     

From event calculus to the scheduling problem. Semantics of action and temporal reasoning in aircraft maintenance

In this work we are interested in the logical and semantical aspects of reasoning about actions in a scheduling process. We present an adaptation of the event calculus of Kowalski and Sergot to the problem of determining the temporal structure of the operations that must be performed during the realization of some complex objectives. Our application domain is aircraft maintenance. We try to reason about the actions which are performed during an overhaul in order to help to schedule them. The original model reasons about changes, i.e. events which initiate or terminate propositions. The first step of this work was to improve the initial model by adding a temporal relation between events and propositions because in our field we also have to reason about events which only inform us about some propositions without affecting them. The second step of this work is to build a set of specific rules which temporally interpret the semantics of the usual specifications of the actions to be considered. This interpretation aims to associate each action with two events and some temporal relations which are usable by the general model. Temporal reasoning uses pertinent knowledge about the specific universe (here, the aircraft that we consider and the actions which may be performed on it). We outline a generative methodology to formalize this relevant knowledge efficiently. This cognitive approach brings more informational economy in temporal reasoning because only the relevant information is considered The temporal reasoning model and the methodology have been exemplified and tested on a complex part of an aircraft. In the future, adapted tools based on this approach will be developed, in order to solve several problems of aircraft maintenance scheduling.     

多Agent系统在遥感图像目标识别系统中的应用研究

从遥感图像分类方法的基本原理入手,介绍了多A gent系统因其智能性和并行计算能力在遥感图像目标识别领域的应用,并将模糊数学、神经网络以及统计学理论与其有机地结合起来,发挥综合系统的整体优势去解决问题。这对今后数据融合技术在图像处理中的研究和应用有很大的意义。     

Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

This study deals with the neuro-fuzzy (NF) modelling of a real industrial winding process in which the acquired NF model can be exploited to improve control performance and achieve a robust fault-tolerant system. A new simulator model is proposed for a winding process using non-linear identification based on a recurrent local linear neuro-fuzzy (RLLNF) network trained by local linear model tree (LOLIMOT), which is an incremental tree-based learning algorithm. The proposed NF models are compared with other known intelligent identifiers, namely multilayer perceptron (MLP) and radial basis function (RBF). Comparison of our proposed non-linear models and associated models obtained through the least square error (LSE) technique (the optimal modelling method for linear systems) confirms that the winding process is a non-linear system. Experimental results show the effectiveness of our proposed NF modelling approach.     

Application of an expert knowledge-based system to the semiconductor thin film device coating process

This paper briefly describes an expert knowledge-based system which assists and diagnoses in the thin film device coating process. The system gains knowledge from qualitative and experience judgement of the operation in supervisory work and self experience. An explanation is given of the expert knowledge-based system and an example is given of the user interface. Various problems in the production process itself which experts in the laboratory find difficult to solve are indicated. A knowledge-based representation scheme involving rules is presented as well. The system currently under development would be a flexible time-saving and practical decision support system.     

A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry

Pump operating problems may be either hydraulic or mechanical and there is interdependence between the failure diagnoses of these two categories. Consequently, a correct diagnosis of a pump failure needs to consider many symptoms and hydraulic or mechanical causes. But, due to nonlinear, time-varying behavior and imprecise measurement information of the systems it is difficult to deal with pumps failures with precise mathematical equations, while human operators with the aid of their practical experience can handle these complex situations, with only a set of imprecise linguistic if-then rules and imprecise system state, but this procedure is time consuming and needs the knowledge of human experts and experienced maintenance personnel. The purpose of this study is to provide a correct and timely diagnosis mechanism of pump failures by knowledge acquisition through a fuzzy rule-based inference system which could approximate human reasoning. The proposed fuzzy inference system by: (1) reduction of human error, (2) reduction of repair time (3) creation of expert knowledge which could be used for training (4) reduction of unnecessary expenditures for upgrades and finally, (5) reduction of maintenance costs, will improve the maintenance process. The novelty of this work is the knowledge acquisition (the extraction of linguistic rules) through the interactive impact of the critical failure modes on the both hydraulic and mechanical operating parameters including flow rate, discharge pressure, NPSHR (Net Positive Suction Head Required), BHP (Brake Horse Power), efficiency, vibration and temperature. The proposed approach is tested and applied to a petrochemical industry.     

A formal approach to perfective software maintenance: System integration using a basis of formal object-oriented components

We investigate how a formalism known as a basis and common to many areas of applied mathematics and engineering can be applied to perfective maintenance and the integration of application systems in software engineering, using an object-oriented approach. It is concluded that this formalism serves as a mathematical model for perfective software maintenance and software systems integration activities under object-oriented development. Theorems and properties about the model are reported as guides to software maintenance. The model and formal maintenance techniques have been applied to a software system in the management information systems area to demonstrate this approach to perfective maintenance and to assist in validating the model.