龙潭水电厂球阀密封环操作系统改造

龙潭水电厂球阀密封环操作系统原为油压操作，钢管压力水经过油封渗至密封环回油腔，加速球阀用油乳化。改为利用钢管高压水操作，改变了球阀用油状况，减缓其乳化，取得良好效用。     

实时多任务系统及其在智能化电器中的应用

为了提高智能电器系统软件的实时性、灵活性和可扩充性,提出了一种适用于智能电器的实时多任务系统,介绍了系统中任务的划分以及任务调度的实现,分析了任务执行时间的关系,并给出了具体实现任务调度的方法。     

基于遗传算法的车间作业调度

研究了遗传算法在车间作业调度问题中的应用,以遗传算法作为优化工具,给出了车间作业调度算法。最后给出了计算机仿真结果,并与启发式算法求得的结果作了比较,证明了该算法解的有效性和优越性。     

三峡左岸电站综合自动化系统综述

三峡左岸电站综合自动化系统按照国际标准设计，内容完整全面。随着机组的逐渐投产，其效益已开始全面发挥。文中对三峡左岸电站的计算机监控系统、调速系统、励磁系统、继电保护、故障录波、图像监控等自动化系统和设备的配置进行了概述性总结。     

ATM网络基于队列长度阀值的传输调度

本文提出了ATM网络的一种实时传输调度和信元丢失控制的综合方案.这种方案是基于队列长度阀值而设计的,它适应于ATM网络面向连接的特性.本文给出了这种方案的随机Petri网性能模型,并给出模型分解和迭代的近似求解方法.     

Building Large,Complex, Distributed Safety-Critical Operating Systems

Safety-critical systems typically operate in unpredictable environments. Requirements for safety and reliability are in conflict with those for real-time responsiveness. Due to unpredictable environmental needs there is no static trade-off between measures to accommodate the conflicting objectives. Instead every feature or operating system service has to be adaptive. Finally, for any design problem, there cannot be any closed-form (formal) approach taking care at the same time of (external) time constraints or deadlines, and synchronization requirements in distributed design. The reason is that these two aspects are causally independent. - In this situation we worked out a heuristic experimental, performance-driven and performance-based methodology that allows in an educated way to start with a coarse system model, with accurate logical expectations regarding its behavior. Through experiments these expectations are validated. If they are found to successfully stand the tests extended expectations and model features are generated for refining the previous design as well as its performance criteria. The refinement is done in such a way that the previous experimental configurations are extreme model cases or data profiles which both logically and experimentally are to reproduce the behavior of the previous modeling step. Thus the novel performance aspects or tendencies could then unambiguously be attributed to the influences of the refined model features. We termed this methodology Incremental Experimentation. As a general methodology it relies on a principle of comparative performance studies rather than on realistic data for narrow application ranges. The paper describes how we applied a 5-step design and refinement procedure for developing, analyzing, and evaluating our distributed operating system MELODY that exhibits novel services for supporting real-time and safety-critical applications in unpredictable environments. Experimental set-ups and theme-related findings are discussed in particular.     

Shop-floor scheduling at shipbuilding yards using the multiple intelligent agent system

The intelligent agent system has become a typical approach to research distributed artificial intelligence and distributed problem solving. However, despite its various technical advantages, the distribution and expansion of the intelligent agent system approach has been limited because existing methodologies rely on specialized applications and therefore require intensive investment to develop new systems. In an attempt to conquer these difficulties, a standardized methodology to construct intelligent agent systems is proposed. This approach deviates from current agent system approaches of repeatedly constructing new and customized expert systems. Specifically, it provides an economical method for developing intelligent agent systems by investigating the possibility of standardizing message communication protocols in linguistics speech-act theory and by supplementing traditional algorithmic systems with intelligent segments using, among others, expert system tools. To verify effectiveness, the shop-floor scheduling system of a large-scale shipbuilding yard has been redesigned, developed, and tested using this approach. This shop-floor scheduling system requires the scheduling of when and where to process block construction under various constraints. It is a difficult four-dimensional time and space allocation problem involving traditional NP-complete search spaces. The tested intelligent agent system proposes an innovative method for reducing the search space into three levels: the algorithm level, the agent intelligence level, and the level of cooperation among agents. It also provides methods for solving deadlock occurrence and non-uniformity problems resulting from parallel processing. Test results demonstrate applicability and economy, among other technical advantages.     

基于遗传算法的滚动调度策略*

本文研究了动态加工环境下的一类Ｊｏｂ－Ｓｈｏｐ调度问题，提出了一种基于遗传算法的滚动调度策略，其要点是：１）借鉴预测控制的思想，采用ｔｉｍｅ－ｂａｓｅｄ和ｊｏｂ－ｂａｓｅｄ的滚动调度策略适应动态环境和要求的多变性。２）以遗传算法和分派规则相结合，处理考虑与操作序列有关的工件安装时间和工件到期时间约束的复杂调度问题。文中给出了在工件到期时间发生改变的动态环境中两种滚动调度算法的调度结果，并与静态调度     

检修计划新模型与算法的研究

本文在研究检修计划问题的内在特点基础上，建立了基于整数规划的检修计划优化模型和算法。记叙虎法直接根据约束系数矩阵Ａ中每台机组所对应元素的最小和最大值来分别消去不可行分支解和待校验约束，从而显著缩小了问题求搜索空间。本文最后给出了算例。     

Knowledge-based system for railway scheduling

In this paper, we describe a Knowledge-Based railway scheduling system (called RSS) for Taiwan Railway Administration's (TRA) railway scheduling operations. In our approach, the scheduling process is divided into two levels: global scheduling and local scheduling. In global scheduling, an initial train diagram is established by the Global Scheduler according to the master scheduling plan without considering conflicts. In local scheduling, scheduling conflicts are repaired by Local Scheduler. An embedded knowledge base provides advice for conflict resolution. Since cycles may exist among a sequence of repairs during the repair process, we also propose a cycle detection and resolution scheme in this paper. Through a graphic user interface, the user can interact with the Automatic Scheduler to solve the large-scale complex train scheduling problem in a cooperative and flexible fashion.