基于TCP/IP协议的远程配置与监控系统

主要介绍了一种基于TCP／IP协议的远程配置与监控系统，包括它的功能和特点以及该系统的软、硬件实现方法。该系统采用服务器／客户端模式，利用TCP／IP协议通过Internet网络实现设备工作参数的远程配置和设备运行状态的远程监视和控制，将该系统用于全IP移动通信系统基站的远程配置和监控，结果显示该系统能够很好地完成基站的远程配置和监控功能。     

基于ARM技术的远程图像监控系统设计

随着图像处理技术在科学技术领域的日益成熟，以及通信带宽的日益提高，应用图像处理技术的远程图像监控系统已逐渐盛行。针对无人值守行业对远程、实时监控的需要，介绍了一种基于ARM技术的远程监控系统，讨论了现场监控器配置图像信息采集模块的软硬件技术，描述了基于TCP／IP协议实现图像信息传输的方式，实现了远程监控中心对现场图像信息的监视。     

基于GMS和PLC的分布式远程监控系统的实现

本文对一种基于GMS和PLC的分布式远程监控系统的工作原理、硬件配置、软件设计及系统性能进行了论述。该系统采用具有SMS短信功能的M90系列PLC实现离散现场站的测控，通过监控中心集中监控和适时手机查询，形成完整的远程监控应用方案。这种系统功能完备、配置灵活、性价比高，实践证明该系统工作可靠性非常。     

采用GSM技术的远程监控系统

本文对一种基于GSM和PLC的分布式远程监控系统的工作原理、硬件配置、软件设计及系统性能进行了论述。该系统采用具有SMS短信功能的M90系列PLC实现离散现场站的测控，通过监控中心集中监控和适时手机查询，形成完整的远程监控应用方案。这种系统功能完备、配置灵活、性价比高，实践证明该系统工作可靠性非常高：     

一种电梯群远程监控网络的设计和实现

本文介绍了一种基于公用电话网的微机远程监控网络系统，详细阐述了系统的结构配置，通信方式及监控管理软件的设计思路。该系统用于对分布在不同地理位置的电梯梯群进行远程的实时监控。     

分布式电梯远程监控系统的设计

介绍了一种基于CAN总线和公众电话交换网的分布式电梯远程监控系统。详细阐述了系统的结构配置、通信方式和各部分的功能。经对电梯进行实时监控，证实该系统稳定，性能良好，实时性高。     

基于Internet的远程视频监控系统的实现

由于传统的视频监控方式存在一些不足之处，为了弥补这些缺点，该文提出了一种基于Internet的远程视频监控系统的实现方案，并对系统的组成、配置、实现等进行了论述。     

分布式电梯远程监控系统的设计

本文介绍了一种基于CAN总线和公众电话交换网的分布式电梯远程监控系统。详细阐述了系统的结构配置、通信方式和各部分的功能。经对电梯进行实时监控证实该系统稳定，性能良好，实时性高。     

SCADA系统在污水处理中的应用

利用远程通信构成分级计算机监控系统(SCADA)，实现污水处理的本地控制和远程控制中心的集中监控与调度。针对污水处理系统的特点与要求，对系统结构、通信方式、硬件配置和监控组态软件进行了设计。该系统投入实际运行表明，效果良好。     

基于IEEE802.16的校园网络管理系统

本系统的设计基于校园WLAN应用环境,开发统一及开放的网络管理系统.系统为客户提供了网络设备和应用服务的远程配置、远程监控、故障响应和性能报告等功能.     

Experts' systems instead of expert systems

By studying several cases of expert systems' use, a variety of difficulties were identified as directly depending on specific characteristics of experts and their tasks. This concerns more than the questions: “May experts be replaced by machines?” or “Is experts' knowledge explicable?”. The organisational structure of their work as well as the cyclic, non-plannable way of their task performing have further relevance. The paper introduces the concept of experts' systems to deal with diversities of their expertise and complexities of their work. It draws a distinction between non-monotonic problem solving, exploration, medium and modification, and argues that these modes are not reducible to yet another improved input/output strategy or dialogue style but introduce additional functions supporting the human-computer interaction according to experts' needs. In the first few sections, the paper covers the theoretical and empirical results of our research, whereas Section 4 introduces our design suggestions for experts' systems.     

Model-driven performance prediction of systems of systems

Systems of systems exhibit characteristics that pose difficulty in modelling and predicting their overall performance capabilities, including the presence of operational independence, emergent behaviour, and evolutionary development. When considering systems of systems within the autonomous defence systems context, these aspects become increasingly critical, as constraints on the performance of the final system are typically driven by hard constraints on space, weight and power. System execution modelling languages and tools permit early prediction of the performance of model-driven systems; however, the focus to date has been on understanding the performance of a model rather than determining whether it meets performance requirements, and only subsequently carrying out analysis to reveal the causes of any requirement violations. Moreover, such an analysis is even more difficult when applied to several systems cooperating to achieve a common goal—a system of systems. In this article, we propose an integrated approach to performance prediction of model-driven real-time embedded defence systems and systems of systems. Our architectural prototyping system supports a scenario-driven experimental platform for evaluating model suitability within a set of deployment and real-time performance constraints. We present an overview of our performance prediction system, demonstrating the integration of modelling, execution and performance analysis, and discuss a case study to illustrate our approach.     

Numerical systems analysis of multicomponent distributed systems

The paper presents the results in the construction of high-accuracy computational algorithms for the classes of partial derivative problems with discontinuous solutions, including ill-posed and eigenvalue problems. The optimal control in complex distributed systems is investigated. On the basis of the optimal control theory, explicit expressions are obtained for gradients of residual functionals to identify different parameters of multicomponent distributed systems. The possibility of using pseudoinverse matrices to solve some linear inverse problems in a finite number of arithmetic operations is considered.     

Monitoring of complex systems of interacting dynamic systems

Increases in functionality, power and intelligence of modern engineered systems led to complex systems with a large number of interconnected dynamic subsystems. In such machines, faults in one subsystem can cascade and affect the behavior of numerous other subsystems. This complicates the traditional fault monitoring procedures because of the need to train models of the faults that the monitoring system needs to detect and recognize. Unavoidable design defects, quality variations and different usage patterns make it infeasible to foresee all possible faults, resulting in limited diagnostic coverage that can only deal with previously anticipated and modeled failures. This leads to missed detections and costly blind swapping of acceptable components because of one??s inability to accurately isolate the source of previously unseen anomalies. To circumvent these difficulties, a new paradigm for diagnostic systems is proposed and discussed in this paper. Its feasibility is demonstrated through application examples in automotive engine diagnostics.     

Generalized-ensemble simulations of spin systems and protein systems

In complex systems such as spin systems and protein systems, conventional simulations in the canonical ensemble will get trapped in states of energy local minima. We employ the generalized-ensemble algorithms in order to overcome this multiple-minima problem. Three well-known generalized-ensemble algorithms, namely, multicanonical algorithm, simulated tempering, and replica-exchange method, are described. We then present three new generalized-ensemble algorithms based on the combinations of the three methods. Effectiveness of the new methods are tested with a Potts model and protein systems.     

Predictive control,embedded cyberphysical systems and systems of systems – A perspective

Today’s world is changing rapidly due to advancements in information technology, computation and communication. Actuation, communication, sensing, and control are becoming ubiquitous. These technological advancements have led to the widespread availability of information and the possibility to connect systems in unforeseen manner. There is a strong desire for smart(er) cities, buildings, devices, factories, health monitoring – a smarter world. However, designing such a smarter world requires addressing also many challenges resulting from the emerging complex interactions and interoperation of systems. How is it possible to handle the increasing complexity during design and maintenance of such systems? How can one guarantee safety and performance of systems operating over networks which are subject to erroneous communication, delays, and failures of sensors and actuators? Is it possible to design control systems which allow for easy reconfiguration or even self-organization, for example by letting subsystems join and leave larger systems via plug and play strategies? Can one guarantee privacy of the controlled subsystems while exchanging information, which is necessary for maintaining overall system performance? We believe that predictive control is a well suited control approach to tackle some of these challenges due to its flexibility with respect to the formulation of the problem and the possibility to directly take constraints, preview information, as well as models of different complexity of the physical world into account. In this perspective we limit our attention to three areas we believe predictive control methods can provide a basis to tackle the appearing challenges: the efficient and easy implementation of predictive control on omnipresent embedded computation hardware, the question of resource and network aware control, as well as control on the network level of systems of systems. We briefly summarize results from these fields and outline some ideas on challenges, which arise.     

Stability of control systems and graphs of linear systems

New conditions for internal stability of a closed-loop control system are given in terms of the graphs of the multiplication operators induced by the transfer functions of the plant and the controller. These conditions can be given a geometrical interpretation. This relates closed-loop stability to the minimal angle between the graph space associated with the system and the graph space associated with the controller. The maximally stabilizing controller is defined as the controller that maximizes the minimum angle between the graph space associated with the system and the graph space associated with the controller. It is shown that this controller can be calculated as a Nehari extension of the coprime factors of the system.     

Expert systems in the context of multi-brain systems

In this article, we postulate the possibility of building a four-brain like expert system. For this purpose we have taken ideas from Minsky’s “Society of Mind” some concepts from Brooks and Stein’s “Brains for Bodies” project, and some mechanisms from neurophysiology. In our search for conceptualization of a minimum multi-brain like system oriented to expert systems, we found that: (a) expert systems with blackboard architecture can be seen as primitive topological approaches to multi-brain systems, (b)in our multi-brain like expert systems conception, as in many other expert systems, we feel that we have to impose our external language as their internal language and our external symbols as their internal symbols. These are the kind of entities discussed by philosophers as “What is it like to be a Bat?”. In this context our conception is still a “Batman”. True-cognitive expert systems might be produced in the future if the matters are self constructed internal languages, and its post-hoc knowledge, and (c) in the scope of multi-brain systems, expert systems are not an engineering subject of artificial intelligence (AI) but a substantive subject that goes from philosophical to neurophysiological aspects.     

The integration of rule systems and database systems

The integration of rule systems into database management systems is explored. Research activities in this area over the past decade are surveyed. The focus is on prototype systems that have been completely specified and the implementation issues encountered. A research agenda which should be addressed by the research community over the next few years is presented