The Tenet experience and the design of protocols for integrated-services internetworks

The research done by the Tenet Group in multimedia networking has reached a point where it may be useful to reflect on the significance of its results for the current debate on how integrated-services internetworks should be designed. Such reflections constitute the main subject of this paper. The principles of the work and the conclusions reached so far by the Tenet researchers are discussed in the light of the conflict between the two major technologies being proposed to build future information infrastructures: namely, the Internet and the ATM technologies. The Tenet approach suggests one feasible way for resolving the conflict to the advantage of all the users of those infrastructures. This paper discusses various fundamental aspects of integrated-services network design: the choice of the service model, the type of charging policy to be adopted, and the selection of a suitable architecture.     

基于OPC技术和现场总线的热轧钢带的电控系统网络平台构建

从网络构建、系统组态等方面介绍热轧钢带生产控制系统的网络平台构建过程和方法。     

电力变压器蒸发冷却装置FC液位监控系统

介绍电力变压器蒸发冷却装置的液位控制系统,该系统以嵌入式以太网芯片为核心构成网络终端,实现了冷却介质FC液位的远程监测调节。     

Electronic locking devices based on microcontrollers and chaotic maps using Model-Matching Control

In this work a real-time communication system using Arduino® microcontrollers, applied to electronic locking devices, is implemented. Model-Matching Control is used to achieve synchronization between transmitter and receiver Arduino® microcontrollers using only one transmission channel. Model-Matching Control is fed with dynamics from both Arduinos. Transmitter Arduino® is used also to generate in real-time an encrypted chaotic code key based on the Chen map. Receiver Arduino® recover in real-time the chaotic code key that is a binary signal key of an electronic locking device and where wireless communication is made between the two Arduinos using Bluetooth modules. System evaluation in terms of performance, randomness, and time complexity, are shown, as well as experimental results and some discussions are presented.     

Towards sustainable industry 4.0: A green real-time IIoT multitask scheduling architecture for distributed 3D printing services

As the keystones of the personalized manufacturing, the Industrial Internet of Things (IIoT) consolidated with 3D printing pave the path for the era of Industry 4.0 and smart manufacturing. By resembling the age of craft manufacturing, Industry 4.0 expedites the alteration from mass production to mass customization. When distributed 3D printers (3DPs) are shared and collaborated in the IIoT, a promising dynamic, globalized, economical, and time-effective manufacturing environment for customized products will appear. However, the optimum allocation and scheduling of the personalized 3D printing tasks (3DPTs) in the IIoT in a manner that respects the customized attributes submitted for each model while satisfying not only the real-time requirements but also the workload balancing between the distributed 3DPs is an inevitable research challenge that needs further in-depth investigations. Therefore, to address this issue, this paper proposes a real-time green-aware multi-task scheduling architecture for personalized 3DPTs in the IIoT. The proposed architecture is divided into two interconnected folds, namely, allocation and scheduling. A robust online allocation algorithm is proposed to generate the optimal allocation for the 3DPTs. This allocation algorithm takes into consideration meeting precisely the customized user-defined attributes for each submitted 3DPT in the IIoT as well as balancing the workload between the distributed 3DPs simultaneously with improving their energy efficiency. Moreover, meeting the predefined deadline for each submitted 3DPT is among the main objectives of the proposed architecture. Consequently, an adaptive real-time multi-task priority-based scheduling (ARMPS) algorithm has been developed. The built ARMPS algorithm respects both the dynamicity and the real-time requirements of the submitted 3DPTs. A set of performance evaluation tests has been performed to thoroughly investigate the robustness of the proposed algorithm. Simulation results proved the robustness and scalability of the proposed architecture that surpasses its counterpart state-of-the-art architectures, especially in high-load environments.     

Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance

The introduction of modern technologies in manufacturing is contributing to the emergence of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of adopting such technologies can be fully utilized by presenting optimization models in every step of the decision-making process. This includes the optimization of maintenance plans and production schedules, which are two essential aspects of any manufacturing process. In this paper, we consider the real-time joint optimization of maintenance planning and production scheduling in smart manufacturing systems. We have considered a flexible job shop production layout and addressed several issues that usually take place in practice. The addressed issues are: new job arrivals, unexpected due date changes, machine degradation, random breakdowns, minimal repairs, and condition-based maintenance (CBM). We have proposed a real-time optimization-based system that utilizes a modified hybrid genetic algorithm, an integrated proactive-reactive optimization model, and hybrid rescheduling policies. A set of modified benchmark problems is used to test the proposed system by comparing its performance to several other optimization algorithms and methods used in practice. The results show the superiority of the proposed system for solving the problem under study. The results also emphasize the importance of the quality of the generated baseline plans (i.e., initial integrated plans), the use of hybrid rescheduling policies, and the importance of rescheduling times (i.e., reaction times) for cost savings.     

基于S5PV210的矿井综合接入网关的设计

针对现有矿井接入网关的专用网关存在可重用性差的问题,提出了一种基于S5PV210的矿井综合接入网关设计方案,介绍了网关的硬件结构和软件的设计,详细分析了多种协议之间的转换原理。该网关采用S5PV210微处理器、嵌入式操作系统和Socket软件技术实现了无线网络、现场总线网络、控制设备与工业以太网的互联,完成了多种协议之间的互转。     

IPv6在矿井工业以太网中的应用研究

介绍了IPv6产生的背景和发展现状,阐述了IPv6应用于矿井工业以太网的发展趋势和研究方向,指出对于所有基于矿井工业以太网的硬件和软件的开发都应带有双协议栈,随着IPv6技术的成熟和普及再研发出只有IPv6协议栈的适用于煤矿的网络设备,如支持IPv6的防爆网络设备、组态软件以及相应的数据采集驱动设备、控制硬件等。     

煤矿带式输送机监控软件的设计

采用VB6.0设计了一套煤矿带式输送机监控软件,介绍了软件总体设计及实时监控主画面设计方案,阐述了采用MSComm控件、Winsock控件分别实现上下位机的串口通信、以太网通信的方法。该监控软件画面直观,控制灵活,较为实用。     

煤矿应急通信保障系统的设计

提出了一种煤矿应急通信保障系统的设计方案。该系统的核心即应急救援软件平台通过中继网关、专用转换器等设备整合井下扩播电话机、小灵通、WiFi手机、调度电话机、井下广播系统,从而实现各通信系统间的互联互通;该系统通过应急救援软件平台实现与矿井人员定位系统的互联互通、与矿井工业以太网的综合接入。实际测试结果表明,该系统具有线路管理、音频播放、一键通、广播及应急通信救援等功能,提高了应急救援工作的效率。