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智联计算网络技术发展研究

李丹,胡宇翔,潘恒,张建辉,邬江兴

《中国工程科学》 2023年第25卷第6期页码 39-48 doi: 10.15302/J-SSCAE-2023.06.014

摘要：

算网融合的理念和技术处于发展初期，相应计算任务调度、网络互联也处于“脱节”状态，因而把握智联计算网络技术发展趋势并提出自主创新的战略构想及发展路线成为亟需。本文分析了现有信息网络技术面临的挑战，提炼出网络与计算融合发展的主要趋势；论证形成我国自主创新的智联计算网络核心架构，精准阐明智联计算网络的发展目标与预期效益；深入剖析智联计算网络技术发展路线，涵盖多样化协议支撑、“网 ‒ 算 ‒ 存”一体化控制、服务功能智能编排、内生安全构造等智联计算网络关键技术布局，智慧园区网络场景、垂直行业网络场景、数据中心网络场景等智联计算网络示范应用。研究建议，深入创新智联计算网络技术体系，广泛部署智联计算网络示范应用，加速推动智联计算网络产品落地，以此促进智联计算网络技术的演进与应用。

关键词：智联计算网络；多样化协议；“网 ‒ 算 ‒ 存”一体化；服务功能智能编排；内生安全

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Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

《能源前沿（英文）》 2015年第9卷第1期页码 75-90 doi: 10.1007/s11708-014-0337-3

摘要： In this paper, a passive neuro-wavelet based islanding detection technique for grid-connected inverter-based distributed generation was developed. The weight parameters of the neural network were optimized by intelligent water drop (IWD) to improve the capability of the proposed technique in the proposed problem. The proposed method utilizes and combines wavelet analysis and artificial neural network (ANN) to detect islanding. Connecting distributed generator to the distribution network has many benefits such as increasing the capacity of the grid and enhancing the power quality. However, it gives rise to many problems. This is mainly due to the fact that distribution networks are designed without any generation units at that level. Hence, integrating distributed generators into the existing distribution network is not problem-free. Unintentional islanding is one of the encountered problems. Discrete wavelet transform (DWT) is capable of decomposing the signals into different frequency bands. It can be utilized in extracting discriminative features from the acquired voltage signals. In passive schemes with a large non-detection zone (NDZ), concern has been raised on active method due to its degrading power quality effect. The main emphasis of the proposed scheme is to reduce the NDZ to as close as possible and to keep the output power quality unchanged. The simulation results from Matlab/Simulink shows that the proposed method has a small non-detection zone, and is capable of detecting islanding accurately within the minimum standard time.

关键词： islanding detection neuro-wavelet intelligent water drop (IWD) non-detection zone (NDZ) distributed generation (DG)

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

《机械工程前沿（英文）》 2010年第5卷第1期页码 118-124 doi: 10.1007/s11465-009-0084-z

摘要： This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzy algorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets, and fuzzy neural network; the diagnosis method based on the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptive filtering technique and fuzzy neural network. These intelligent diagnostic methods have been successfully applied to condition diagnosis in different types of practical plant machinery.

关键词： intelligent diagnosis neural network fuzzy algorithm adaptive filtering plant machinery

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Electroreduction of hexavalent chromium using a porous titanium flow-through electrode and intelligentprediction based on a back propagation neural network

《环境科学与工程前沿（英文）》 2023年第17卷第8期 doi: 10.1007/s11783-023-1697-x

摘要：

● Titanium-based flow-through electrode achieved high Cr(VI) reduction efficiency.

关键词： Flow-through electrode Hexavalent chromium Heavy metals Neural network Artificial intelligence

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智能预报模式与水文中长期智能预报方法

陈守煜,郭瑜,王大刚

《中国工程科学》 2006年第8卷第7期页码 30-35

摘要：

建立了以模糊优选、BP神经网络及遗传算法有机结合的智能预报模式与方法。在应用该方法进行中长期水文智能预报时，首先选取训练样本的数量，根据预报因子与预报对象的相关关系得到相对隶属度矩阵;再将其作为BP神经网络输入值以训练连接权重；最后将得到的连接权重值用于预报检验。计算结果表明，智能预报模式与方法的运行速度、精度及稳定性都达到了实际应用的要求。

关键词：模糊优选 BP神经网络遗传算法智能预报模式中长期水文智能预报

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信息网络——现代信息工程学的前沿

钟义信

《中国工程科学》 1999年第1卷第1期页码 24-29

摘要：

信息网络正在各地迅猛崛起，并以史所罕见的规模和速度生长成为世界性社会基础结构，深刻地改变着人们的生产方式、工作方式、学习方式、交往方式、生活方式和思维方式，成为工程学界以至整个社会普遍关注的集点、热点和前沿。文章旨在从理论上廓清信息网络的概念，阐明为什么信息网络对于科学技术的进步、对于世界经济和人类社会的发展能够产生如此巨大和深远的作用与影响。在此基础上，论述信息网络在现代工程学中的作用与地位，以及信息网络工程学在当前的主要研究内容和方向。

关键词：信息网络智能化社会生产工具网络时代信息网络工程学

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中日“智能信息网络”学术交流会在京举行

《中国工程科学》 2000年第2卷第3期页码 94-94

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

《机械工程前沿（英文）》 2021年第16卷第2期页码 340-352 doi: 10.1007/s11465-021-0629-3

摘要： Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years. However, many deep learning methods cannot fully extract fault information to recognize mechanical health states when processing high-dimensional samples. Therefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNN) is proposed in this study to accomplish fault recognition of high-dimensional samples. First, several 1D DCNN models with different activation functions are trained through dimension reduction learning to obtain different fault features from high-dimensional samples. Second, the obtained features are constructed into 2D images with multiple channels through a conversion method. The integrated 2D feature images can effectively represent the fault characteristic contained in raw high-dimension vibration signals. Lastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features from the 2D images and identify the fault mode of the mechanical equipment by adopting a softmax classifier. The proposed method, which is validated using the bearing public dataset of Case Western Reserve University, USA and a one-stage reduction gearbox dataset, has high recognition accuracy. Compared with other classical deep learning methods, the proposed fault diagnosis method has considerable improvements.

关键词： fault intelligent diagnosis deep learning deep convolutional neural network high-dimensional samples

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study on seismic response control on top of Three-Gorges ship lift towers using magnetorheological intelligent

Weilian QU, Jianwei TU

《结构与土木工程前沿（英文）》 2009年第3卷第1期页码 32-41 doi: 10.1007/s11709-009-0003-8

摘要： A vertical ship lift under earthquake excitation may suffer from a whipping effect due to the sudden change of building lateral stiffness at the top of the ship lift towers. This paper proposes a roof magnetorheological (MR) intelligent isolation system to prevent the seismic whipping effect on machinery structures. Theoretically, the dynamic models of MR damper and the mechanical model of ship lift was established, the inverse neural network controlling algorithm was proposed and the fundamental semi-active control equation for the Three-Gorges ship lift where the MR intelligent isolation system was installed was deduced. Experimentally, the experimental model of the ship lift was given, the vibrating table experiment of the MR intelligent isolation system controlling the whipping effect was carried out and the results of the inverse neural network control strategy and passive isolation strategy were compared. In practical aspect, the large-scale MR damper (500 kN) and a sliding support with limited stiffness were designed and fabricated. It was proven that the MR intelligent isolation system with proper control strategy can greatly reduce the seismic whipping effect on the top workshop of the ship lift and be simple and effective enough to be applied to real engineering structures.

关键词： Three-Gorges ship lift tower whipping effect magnetorheological (MR) intelligent isolation system neural network sliding steel supporting

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全维可定义的天地协同组网架构与切片技术研究

李丹,朱棣,申涓

《中国工程科学》 2021年第23卷第2期页码 30-38 doi: 10.15302/J-SSCAE-2021.02.005

摘要：

面对未来网络对全维度空间泛在互联互通的信息服务需求，现有的卫星互联网基础架构及由此构建的技术体系在异构协同、资源高效、精准按需、稳定可靠等方面仍面临重大挑战。本文首先对我国卫星互联网技术发展需求进行分析研判，讨论了全球卫星互联网技术的发展现状和趋势；其次阐述了代表性的天地协同广域通信网络组网架构、全维可定义的网络节点；最后从网络智能切片、数据解析与转发、资源协调控制机制等方面，提出天地协同网络中面向业务特性的智能切片关键技术。研究建议：依托天地协同网络架构，以网络资源管理控制、网络智慧化、网络结构全维可定义等技术为支撑，突破业务所需的天地协同网络资源智能切片、全维可定义的数据报文灵活解析与转发、天地协同网络资源全局协调控制等关键技术；在国家层面加大对天地协同网络的政策支持力度，为天地协同网络资源全局动态优化技术创新和产业发展提供持续推动力。

关键词：天地协同网络，智能网络切片，全维可定义，组网架构与机制

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智能无线接入网：架构、关键技术和试验平台 Review Article

王则予,孙耀华,袁硕

《信息与电子工程前沿（英文）》 2022年第23卷第1期页码 5-18 doi: 10.1631/FITEE.2100305

摘要：智能无线接入网（RANs）是一种很有前途的范例，能够更好地满足各种应用需求并支持各种服务场景。本文概述了智能RANs最新进展。首先，总结了标准组织和运营商的工作，介绍了学术界提出的几种智能RAN体系架构，例如意图驱动RAN和具有增强数据分析功能的网络。然后，总结了使能技术，包括人工智能驱动的网络切片、意图感知、智能运维、基于AI的云边协同组网和智能多维资源分配。此外，介绍了近期在开放试验平台方面取得的进展。最后，鉴于研究领域的广泛性，从标准开放数据集、AI使能的算力网络、边缘智能和软件定义的智能地面卫星网络等未来方向进行探讨。

关键词：智能网络架构；人工智能；试验平台

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Current research, key performances and future development of search and rescue robots

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

《机械工程前沿（英文）》 2007年第2卷第4期页码 404-416 doi: 10.1007/s11465-007-0070-2

摘要： Frequent natural disasters and man-made catastrophes have threatened the safety of citizens and have attracted much more attention. The rescue mission under disaster environment is very complicated and dangerous for a rescue team. Search and rescue (SAR) robots can not only improve the efficiency of rescue operations but also reduce the casualty of rescuers. Robots can help rescue teams and even replace rescuers to perform dangerous missions. Search and rescue robots will play a more and more important role in the rescue operations. A survey of the research status of search and rescue robots in Japan, USA, China and other countries has been provided. According to current research, experiences and the lessons learned from applications, the five key performances of a search and rescue robot are survivability, mobility, sensing, communicability and operability. Multi-technique fusion and multi-agent intelligent network are considered to be requirements for the future development of the search and rescue robot. Disaster prevention, disaster reduction and disaster rescue are the important parts of national public safety. They are also crucial for the safety of citizens and their estates. Search and rescue robotic technique is an urgent needed, strategic and core technique for national development. It will be important and strategic for national economy and safety.

关键词： national development communicability mobility national intelligent network

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基于网络图拓扑结构的MILP模型求解智能制造系统中的工艺规划问题 Article

刘齐浩, 李新宇, 高亮

《工程（英文）》 2021年第7卷第6期页码 807-817 doi: 10.1016/j.eng.2021.04.011

摘要：

智能工艺规划是智能制造系统中的重要组成部分。从制造流程角度出发，工艺规划（process planning, PP）连接着产品设计和实际生产，有着承上启下的关键作用。PP属于非确定性多项式时间困难（NP-hard）问题，现有的问题模型都是非线性形式，因此不能够通过求解现有模型来得到问题的精确解。从工艺网络图的拓扑结构出发，本文提出了一个全新的混合整数线性规划（mixedinteger linear programming, MILP）数学模型，并通过三种优先关系矩阵讨论了网络图中工序的优先关系。该模型能够凭借常用的数学模型求解器，如CPLEX、Gurobi等，来搜寻并获得大部分算例的最优解。该模型通过在5组公开的著名数据集上的测试，证明了其通用性和有效性。实验结果有力地说明了所提模型能够有效地解决工艺规划问题，并获得比当前最先进算法更好的解。

关键词：智能工艺规划工艺网路图混合整数线性规划 CPLEX

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机泵群实时监测网络和故障诊断专家系统

高金吉

《中国工程科学》 2001年第3卷第9期页码 41-47

摘要：

应用现代信息技术和人工智能实施设备诊断工程，逐步实现状态维修和预知维修，是大型流程工业企业降低生产成本的重要途径之一。概要介绍为实现这一目标所开发的机电装备实时监测网络和人工智能诊断技术。简要介绍了基于Ethernet和FDDI开发、应用于石化企业的机、泵群实时监测网络；首次提出了黑灰白集合筛选法，在一次原因分析法和故障机理及其识别特征研究基础上，应用此方法开发的基于黑灰白集合筛选法的机械故障诊断专家系统，用于工程实践取得了满意的结果。

关键词：设备诊断工程实时监测网络人工智能诊断一次原因分析法黑灰白集合筛选法

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我国交通运输行业物联网技术应用模式研究

周堂,赖明勇

《中国工程科学》 2012年第14卷第7期页码 103-108

摘要：

分析了物联网（the internet of things,IOT）技术的优势及交通运输行业发展趋势，在此基础上，研究物联网与交通运输领域的结合之处并给出了交通运输物联网定义。针对传统的交通运输智能化发展过程中遇到的诸多问题，提出了未来交通物联网发展模式。通过对比研究证实了信息到功能的信息利用模式的优势，该模式提出基于统一前端信息采集以实现真正的互联互通，它能极大节省技术推广成本、挖掘信息潜在价值，促进可持续的信息服务市场形成和行业升级。

关键词：物联网智能交通系统传感网交通运输物联网应用模式

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标题作者时间类型操作

智联计算网络技术发展研究

李丹,胡宇翔,潘恒,张建辉,邬江兴

期刊论文

Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

期刊论文

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

期刊论文

Electroreduction of hexavalent chromium using a porous titanium flow-through electrode and intelligentprediction based on a back propagation neural network

期刊论文

智能预报模式与水文中长期智能预报方法

陈守煜,郭瑜,王大刚

期刊论文

信息网络——现代信息工程学的前沿

钟义信

期刊论文

中日“智能信息网络”学术交流会在京举行

期刊论文

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

期刊论文