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Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control 认领 引用 被引量：8
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作者 Musbahu Mohammed Adam Liqiang Zhao +1 位作者 Kezhi Wang Zhu Han 《China Communications》 SCIE CSCD 2023年第7期137-174,共38页
In recent years,the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks.Such challenges can be potentially overcome by integrating c... In recent years,the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks.Such challenges can be potentially overcome by integrating communication,computing,caching,and control(i4C)technologies.In this survey,we first give a snapshot of different aspects of the i4C,comprising background,motivation,leading technological enablers,potential applications,and use cases.Next,we describe different models of communication,computing,caching,and control(4C)to lay the foundation of the integration approach.We review current stateof-the-art research efforts related to the i4C,focusing on recent trends of both conventional and artificial intelligence(AI)-based integration approaches.We also highlight the need for intelligence in resources integration.Then,we discuss the integration of sensing and communication(ISAC)and classify the integration approaches into various classes.Finally,we propose open challenges and present future research directions for beyond 5G networks,such as 6G. 展开更多
关键词 4C 6G integration of communication,computing,caching,and control i4C multi-access edge computing(MEC)
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Overview of heterogeneous AMN architectures integrating satellite and terrestrial networks:A communication–sensing–computing perspective 认领 引用
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作者 Zhuojia YANG Wei SU Hongke ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期1-4,共4页
The Airborne Maneuvering Network(AMN)is a novel network architecture that enables flexible deployment across wide areas and provides real-time cross-domain transmission services.Under concurrent and diversified servic... The Airborne Maneuvering Network(AMN)is a novel network architecture that enables flexible deployment across wide areas and provides real-time cross-domain transmission services.Under concurrent and diversified service demands,AMN operating in isolation faces significant challenges in guaranteeing end-to-end transmission reliability.This has prompted the deep integration of AMN with terrestrial and satellite networks to form heterogeneous networks,which has become a crucial trend in improving the continuity and reliability of AMN services.However,network heterogeneity,dynamic resource distribution,and the absence of a unified reliable transmission mechanism impose severe challenges on multi-domain cooperative scheduling and differentiated-service adaptation.This paper serves as a reference for global scholars engaged in thorough research on heterogeneous integrated AMN.It outlines the fundamental characteristics of AMN,reviews recent advances and challenges in communication-sensing-computation coordination,unified control adaptation,and service reliability assurance,and discusses design concepts and future evolution paths for heterogeneous integrated AMN architectures. 展开更多
关键词 Airborne Maneuvering Net-work(AMN) Communication,sensing and computing Heterogeneous integrated network Network architecture Service reliability assurance
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Integrated Scheduling of Communication,Sensing,and Control for UAV-aided FSO Systems 认领 引用
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作者 LU Dingshan YU Yinchang +1 位作者 SU Daopeng WANG Jinyuan 《电讯技术》 北大核心 2025年第6期892-902,共11页
Recently,unmanned aerial vehicle(UAV)-aided free-space optical(FSO)communication has attracted widespread attentions.However,most of the existing research focuses on communication performance only.The authors investig... Recently,unmanned aerial vehicle(UAV)-aided free-space optical(FSO)communication has attracted widespread attentions.However,most of the existing research focuses on communication performance only.The authors investigate the integrated scheduling of communication,sensing,and control for UAV-aided FSO communication systems.Initially,a sensing-control model is established via the control theory.Moreover,an FSO communication channel model is established by considering the effects of atmospheric loss,atmospheric turbulence,geometrical loss,and angle-of-arrival fluctuation.Then,the relationship between the motion control of the UAV and radial displacement is obtained to link the control aspect and communication aspect.Assuming that the base station has instantaneous channel state information(CSI)or statistical CSI,the thresholds of the sensing-control pattern activation are designed,respectively.Finally,an integrated scheduling scheme for performing communication,sensing,and control is proposed.Numerical results indicate that,compared with conventional time-triggered scheme,the proposed integrated scheduling scheme obtains comparable communication and control performance,but reduces the sensing consumed power by 52.46%. 展开更多
关键词 FSO communications integrated scheduling of communication,sensing,and control unmanned aerial vehicle(UAV)
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DRL-based federated self-supervised learning for task offloading and resource allocation in ISAC-enabled vehicle edge computing 认领 引用 被引量：4
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作者 Xueying Gu Qiong Wu +3 位作者 Pingyi Fan Nan Cheng Wen Chen Khaled B.Letaief 《Digital Communications and Networks》 SCIE EI CSCD 2025年第5期1614-1627,共14页
Intelligent Transportation Systems(ITS)leverage Integrated Sensing and Communications(ISAC)to enhance data exchange between vehicles and infrastructure in the Internet of Vehicles(IoV).This integration inevitably incr... Intelligent Transportation Systems(ITS)leverage Integrated Sensing and Communications(ISAC)to enhance data exchange between vehicles and infrastructure in the Internet of Vehicles(IoV).This integration inevitably increases computing demands,risking real-time system stability.Vehicle Edge Computing(VEC)addresses this by offloading tasks to Road Side Units(RSUs),ensuring timely services.Our previous work,the FLSimCo algorithm,which uses local resources for federated Self-Supervised Learning(SSL),has a limitation:vehicles often can’t complete all iteration tasks.Our improved algorithm offloads partial tasks to RSUs and optimizes energy consumption by adjusting transmission power,CPU frequency,and task assignment ratios,balancing local and RSU-based training.Meanwhile,setting an offloading threshold further prevents inefficiencies.Simulation results show that the enhanced algorithm reduces energy consumption and improves offloading efficiency and accuracy of federated SSL. 展开更多
关键词 Integrated sensing and communications(ISAC) Federated self-supervised learning Resource allocation and offloading Deep reinforcement learning(DRL) Vehicle edge computing(VEC)
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Modeling and Nonlinear Computed Torque Control of Ship-mounted Mobile Satellite Communication System 认领 引用
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作者 Jun Jiang Bin Yao +1 位作者 Jian Guo Qing-Wei Chen 《International Journal of Automation and computing》 2012年第5期459-466,共8页
A mobile satellite communication system(MSCS)is a device installed on a moving carrier for mobile satellite communication.It can eliminate disturbance and maintain continuous satellite communication when the carrier i... A mobile satellite communication system(MSCS)is a device installed on a moving carrier for mobile satellite communication.It can eliminate disturbance and maintain continuous satellite communication when the carrier is moving.Because of many advantages of mobile satellite communication,the MSCSs are becoming more and more popular in modern mobile communication.In this paper,a typical ship-mounted MSCS is studied.The dynamic model of the system is derived using the generalized Lagrange method both in the joint space and in the workspace.Based on the dynamic model,a nonlinear computed torque controller with trajectory planning is designed to track an aimed satellite with a satisfied transient response.Simulation results in two different situations are presented to show the tracking performance of the controller. 展开更多
关键词 Mobile satellite communication system(MSCS) dynamic modeling computed torque control tracking control ship-mounted
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Federated Learning for 6G:A Survey From Perspective of Integrated Sensing,Communication and Computation 认领 引用 被引量：3
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作者 ZHAO Moke HUANG Yansong LI Xuan 《ZTE Communications》 2023年第2期25-33,共9页
With the rapid advancements in edge computing and artificial intelligence,federated learning(FL)has gained momentum as a promising approach to collaborative data utilization across organizations and devices,while ensu... With the rapid advancements in edge computing and artificial intelligence,federated learning(FL)has gained momentum as a promising approach to collaborative data utilization across organizations and devices,while ensuring data privacy and information security.In order to further harness the energy efficiency of wireless networks,an integrated sensing,communication and computation(ISCC)framework has been proposed,which is anticipated to be a key enabler in the era of 6G networks.Although the advantages of pushing intelligence to edge devices are multi-fold,some challenges arise when incorporating FL into wireless networks under the umbrella of ISCC.This paper provides a comprehensive survey of FL,with special emphasis on the design and optimization of ISCC.We commence by introducing the background and fundamentals of FL and the ISCC framework.Subsequently,the aforementioned challenges are highlighted and the state of the art in potential solutions is reviewed.Finally,design guidelines are provided for the incorporation of FL and ISCC.Overall,this paper aims to contribute to the understanding of FL in the context of wireless networks,with a focus on the ISCC framework,and provide insights into addressing the challenges and optimizing the design for the integration of FL into future 6G networks. 展开更多
关键词 integrated sensing communication and computation federated learning data heterogeneity limited resources
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Intelligent Reconfigurable Skyrmion-Based Multi-Port Logic Device for In-Memory Computing 认领 引用
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作者 Fuhao Zou Ziyuan Liu +3 位作者 Zijing Zhao Muhammad Humayun Chundong Wang Xiaolei Wang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第3期331-345,共15页
New electronic devices based on the physical properties of electrically driven skyrmions are promising for logic computing and nonvolatile memory applications.However,achieving efficient and practical compute-storage ... New electronic devices based on the physical properties of electrically driven skyrmions are promising for logic computing and nonvolatile memory applications.However,achieving efficient and practical compute-storage integration remains challenging owing to the structural complexity,limited functionality,and low flexibility observed in most skyrmion-based devices.In this study,we designed a novel device architecture that integrates seven basic logic gates into a unified physical structure.Their operation can be enabled by physical mechanisms,such as spin-orbit torque,spin-transfer torque,skyrmion-edge repulsions,and skyrmion-skyrmion interactions.Furthermore,by incorporating voltage-controlled magnetic anisotropy,the device achieved multi-input capability and reconfigurability functionality.Ultralow power consumption(<1 fJ/bit per logic function)and extremely high logic density were achieved.Significantly,the compatibility of this nanotrack design with existing skyrmion racetrack memory paves the way for advanced in-memory computing in spintronic architectures. 展开更多
关键词 voltage controlled magnetic anisotropy intelligent reconfigurable skyrmion based multi port logic device memory computing logic computing device architecture spin transfer torque spin orbit torque integrates seven basic logic gates
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Toward AI-Agent-Native 6G Networks:A Survey on Protocols,Multimodal Coordination,and ISCC-Driven Dynamic Networking 认领 引用
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作者 Zhang Xiaotian Xiao Han +2 位作者 Wang Dan Huang Zhenglei Xu Changqiao 《ZTE Communications》 2026年第2期16-25,共10页
As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network archite... As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network architectures,designed for content-agnostic data transmission,struggle to accommodate the bursty,reasoning-driven traffic patterns and rigorous multimodal synchronization requirements of autonomous agents.This paper surveys the AI-agent communication network(ACN),aiming to bridge the gap between static network resources and dynamic agent tasks.We analyze the evolution from bit-oriented transmission to agentic syntax protocols,which enable intentbased signaling and semantic compression.Furthermore,we explore mechanisms for multi-agent collaborative consensus and distributed decision-making under the constraints of unstable wireless environments.We critically focus on task-driven dynamic networking,examining how integrated sensing,communication,and computing(ISCC)and network-embedded agents(NEA)facilitate the real-time generation of task graphs and intent-aware traffic scheduling.To synthesize these technologies,we propose a reference framework,the Deep-Agentic Network Architecture(DAN-Arch),which vertically integrates physical-layer sensing with application-layer reasoning flows.Finally,open challenges regarding energy efficiency,cross-domain governance,and 3GPP standardization pathways are discussed to guide future research towards a fully agent-native 6G ecosystem. 展开更多
关键词 AI-agent communication network(ACN) 6G architecture network-embedded agent(NEA) integrated sensing,communication,and computing(ISCC) multi-agent coordination
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Research on Interoperability of IoT Devices and Analysis of Standardization Progress 认领 引用
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作者 Yinghao Tang 《机械工程与设计（中英文版）》 2025年第1期1-6,共6页
The rapid advancement of the Internet of Things(IoT)has led to the proliferation of connected devices across various domains,including smart cities,industrial automation,and healthcare.However,interoperability challen... The rapid advancement of the Internet of Things(IoT)has led to the proliferation of connected devices across various domains,including smart cities,industrial automation,and healthcare.However,interoperability challenges arising from heterogeneous communication protocols,diverse data formats,and fragmented standardization efforts hinder the seamless integration of IoT systems.This paper explores the current state of IoT interoperability,analyzing key challenges,existing standardization initiatives,and emerging technological solutions.We examine the role of middleware,gateway solutions,artificial intelligence(AI),blockchain,and edge computing in facilitating interoperability.Furthermore,we provide a comparative analysis of major IoT standards and discuss the potential for greater convergence among standardization efforts.The findings highlight that while significant progress has been made,a unified and widely accepted interoperability framework remains elusive.Addressing these challenges requires collaborative efforts among industry stakeholders,researchers,and policymakers to establish robust and scalable interoperability solutions,ensuring the continued growth and efficiency of IoT ecosystems. 展开更多
关键词 IoT Interoperability Communication Protocols Standardization Initiatives Middleware Solutions Edge Computing Blockchain IoT Integration
Advanced 6 G wireless communication technologies for intelligent high-speed railways 认领 引用 被引量：3
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作者 Wei Chen Bo Ai +3 位作者 Yuxuan Sun Cong Yu Bowen Zhang Chau Yuen 《High-Speed Railway》 CSCD 2025年第1期78-92,共15页
The rapid expansion of railways,especially High-Speed Railways(HSRs),has drawn considerable interest from both academic and industrial sectors.To meet the future vision of smart rail communications,the rail transport ... The rapid expansion of railways,especially High-Speed Railways(HSRs),has drawn considerable interest from both academic and industrial sectors.To meet the future vision of smart rail communications,the rail transport industry must innovate in key technologies to ensure high-quality transmissions for passengers and railway operations.These systems must function effectively under high mobility conditions while prioritizing safety,ecofriendliness,comfort,transparency,predictability,and reliability.On the other hand,the proposal of 6 G wireless technology introduces new possibilities for innovation in communication technologies,which may truly realize the current vision of HSR.Therefore,this article gives a review of the current advanced 6 G wireless communication technologies for HSR,including random access and switching,channel estimation and beamforming,integrated sensing and communication,and edge computing.The main application scenarios of these technologies are reviewed,as well as their current research status and challenges,followed by an outlook on future development directions. 展开更多
关键词 High-speed railway Random access and switching Channel estimation and beamforming Integrated sensing and communication Edge computing
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Model of Production Planning and Scheduling in Shop Floor Based on Collaboration and Competition 认领 引用 被引量：1
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作者 Liu Shi-ping Rao Yun-qing +1 位作者 Zhang Jie Li Pei-gen 《Wuhan University Journal of Natural Sciences》 EI CAS 2002年第1期77-81,共5页
The planning and scheduling in real shop floor is actually achieved by coordination between different persons. In this process, cooperation is mainstream, but competition also exists, for example, the competition betw... The planning and scheduling in real shop floor is actually achieved by coordination between different persons. In this process, cooperation is mainstream, but competition also exists, for example, the competition between different groups, operators with the same skill, etc. In multi-agent based shop floor management and control system, this competition and cooperation relation must be embodied. The general process of shop floor production planning and scheduling is studied, and a colored Petri-net model for the competition and cooperation process of three main agents in such system to achieve shop floor production planning and scheduling is presented. The evaluating method of bids in bidding process that especially embodies the competition relationship is also presented. This colored Petri-net model gives a clear illustration of this complex coordination process to system designers, effectively promotes the cooperative development. 展开更多
关键词 CIMS (computer integrated manufacturing system) DAI (distributed artificial intelligence) agent Petri-net shop floor control
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Predictive Decision and Reliable Accessing for UAV Communication in Space-Air-Ground Integrated Networks 认领 引用 被引量：3
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作者 Bowen Zeng Zhongshan Zhang +2 位作者 Xuhui Ding Xiangyuan Bu Jianping An 《China Communications》 SCIE CSCD 2022年第1期166-185,共20页
The cooperation of multiple Unmanned Aerial Vehicles(UAVs) has become a promising scenario in Space-Air-Ground Integrated Networks(SAGINs) recently due to their widespread applications,where wireless communication is ... The cooperation of multiple Unmanned Aerial Vehicles(UAVs) has become a promising scenario in Space-Air-Ground Integrated Networks(SAGINs) recently due to their widespread applications,where wireless communication is a basic necessity and is normally categorized into control and nonpayload communication(CNPC) as well as payload communication. In this paper, we attempt to tackle two challenges of UAV communication respectively on establishing reliable CNPC links against the high mobility of UAVs as well as changeable communication conditions, and on offering dynamic resource optimization for Quality-of-Service(QoS) guaranteed payload communication with variable link connectivity. Firstly, we propose the concept of air controlling center(ACC), a virtual application equipped on the infrastructure in SAGINs, which can collect global information for estimating UAV trajectory and communication channels. We then introduce the knapsack problem for modelling resource optimization of UAV communication in order to provide optimal access points for both CNPC and payload communication. Meanwhile, using the air controlling information, predictive decision algorithm and handover strategy are introduced for the reliable connection with multiple access points. Simulation results demonstrate that our proposal ensures an approximate always-on reliable accessing of communication links and outperforms the existing methods against high mobility,sparse distribution, and physical obstacles. 展开更多
关键词 space-air-ground integrated networks UAV communication air communication controlling predictive decision reliable accessing
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Integration system research and development for three-dimensional laser scanning information visualization in goaf 认领 引用 被引量：4
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作者 罗周全 黄俊杰 +2 位作者 罗贞焱 汪伟 秦亚光 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2016年第7期1985-1994,共10页
An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, clo... An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable. 展开更多
关键词 goaf laser scanning visualization integration system 1 Introduction The goaf formed through underground mining of mineral resources is one of the main disaster sources threatening mine safety production [1,2]. Effective implementation of goaf detection and accurate acquisition of its spatial characteristics including the three-dimensional morphology, the spatial position as well as the actual boundary and volume, are important basis to analyze, predict and control disasters caused by goaf. In recent years, three-dimensional laser scanning technology has been effectively applied in goaf detection [3,4]. Large quantities of point cloud data that are acquired for goaf by means of the three-dimensional laser scanning system are processed relying on relevant engineering software to generate a three-dimensional model for goaf. Then, a general modeling analysis and processing instrument are introduced to perform subsequent three-dimensional analysis and calculation [5,6]. Moreover, related development is also carried out in fields such as three-dimensional detection and visualization of hazardous goaf, detection and analysis of unstable failures in goaf, extraction boundary acquisition in stope, visualized computation of damage index, aided design for pillar recovery, and three-dimensional detection
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Deep Learning Applied to Computational Mechanics:A Comprehensive Review,State of the Art,and the Classics 认领 引用 被引量：3
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作者 Loc Vu-Quoc Alexander Humer 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第11期1069-1343,共275页
Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularl... Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularly deep learning(DL),applied and relevant to computational mechanics(solid,fluids,finite-element technology)are reviewed in detail.Both hybrid and pure machine learning(ML)methods are discussed.Hybrid methods combine traditional PDE discretizations with ML methods either(1)to help model complex nonlinear constitutive relations,(2)to nonlinearly reduce the model order for efficient simulation(turbulence),or(3)to accelerate the simulation by predicting certain components in the traditional integration methods.Here,methods(1)and(2)relied on Long-Short-Term Memory(LSTM)architecture,with method(3)relying on convolutional neural networks.Pure ML methods to solve(nonlinear)PDEs are represented by Physics-Informed Neural network(PINN)methods,which could be combined with attention mechanism to address discontinuous solutions.Both LSTM and attention architectures,together with modern and generalized classic optimizers to include stochasticity for DL networks,are extensively reviewed.Kernel machines,including Gaussian processes,are provided to sufficient depth for more advanced works such as shallow networks with infinite width.Not only addressing experts,readers are assumed familiar with computational mechanics,but not with DL,whose concepts and applications are built up from the basics,aiming at bringing first-time learners quickly to the forefront of research.History and limitations of AI are recounted and discussed,with particular attention at pointing out misstatements or misconceptions of the classics,even in well-known references.Positioning and pointing control of a large-deformable beam is given as an example. 展开更多
关键词 Deep learning,breakthroughs,network architectures,backpropagation,stochastic optimization methods from classic to modern,recurrent neural networks,long short-term memory,gated recurrent unit,attention,transformer,kernel machines,Gaussian processes,libraries,Physics-Informed Neural Networks,state-of-the-art,history,limitations,challenges Applications to computational mechanics Finite-element matrix integration,improved Gauss quadrature Multiscale geomechanics,fluid-filled porous media Fluid mechanics,turbulence,proper orthogonal decomposition Nonlinear-manifold model-order reduction,autoencoder,hyper-reduction using gappy data control of large deformable beam
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Satellite Communications with 5G, B5G, and 6G: Challenges and Prospects 认领 引用 被引量：4
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作者 Mehmet Beyaz 《International Journal of Communications, Network and System Sciences》 2024年第3期31-49,共19页
Satellite communications, pivotal for global connectivity, are increasingly converging with cutting-edge mobile networks, notably 5G, B5G, and 6G. This amalgamation heralds the promise of universal, high-velocity comm... Satellite communications, pivotal for global connectivity, are increasingly converging with cutting-edge mobile networks, notably 5G, B5G, and 6G. This amalgamation heralds the promise of universal, high-velocity communication, yet it is not without its challenges. Paramount concerns encompass spectrum allocation, the harmonization of network architectures, and inherent latency issues in satellite transmissions. Potential mitigations, such as dynamic spectrum sharing and the deployment of edge computing, are explored as viable solutions. Looking ahead, the advent of quantum communications within satellite frameworks and the integration of AI spotlight promising research trajectories. These advancements aim to foster a seamless and synergistic coexistence between satellite communications and next-gen mobile networks. 展开更多
关键词 Satellite Communications Spectrum Allocation Edge Computing AI Integration 5G B5G 6G
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CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design 认领 引用 被引量：2
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作者 Kiam Heong Ang Gregory C.Y. +1 位作者 Kay Chen Tan Hiroshi Kashiwagi 《International Journal of Automation and computing》 2004年第1期76-88,共13页
This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of “computer-aided control system design” (CACSD) to novel “com... This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of “computer-aided control system design” (CACSD) to novel “computer-automated control system design” (CAutoCSD). The first step towards this goal is to accommodate, under practical constraints, various design objectives that are desirable in both time and frequency domains. Such performance-prioritised unification is aimed at relieving practising engineers from having to select a particular control scheme and from sacrificing certain performance goals resulting from pre-commitment to such schemes. With recent progress in evolutionary computing based extra-numeric, multi-criterion search and optimisation techniques, such unification of LTI control schemes becomes feasible, analytical and practical, and the resultant designs can be creative. The techniques developed are applied to, and illustrated by, three design problems. The unified approach automatically provides an integrator for zero-steady state error in velocity control of a DC motor, and meets multiple objectives in the design of an LTI controller for a non-minimum phase plant and offers a high-performance LTI controller network for a non-linear chemical process. 展开更多
关键词 Linear time invariant (LTI) proportional plus integral plus derivative (PID) control system design (CSD) computer aided control system design (CACSD) performance index genetic algorithms (GA) evolutionary computation (EC) process control r
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Architecture Design for Integrated Wide Area Protection and Control Systems 认领 引用 被引量：3
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作者 Z. Q. Bo Q. P. Wang +3 位作者 Lin Wang Fengqun Zhou Shengming Ge B. M. Zhang 《Journal of Power and Energy Engineering》 2015年第4期412-416,共5页
This paper firstly reviews the recent development in power system protection and control, with special attention paid to the wide-area and integrated protection, in order to look into future development of integration... This paper firstly reviews the recent development in power system protection and control, with special attention paid to the wide-area and integrated protection, in order to look into future development of integration of protection and control for smart grids. This paper mainly reports on the development of integrated wide area protection and control for power systems. The concept of integrated wide area protection and control is introduced, in which a hierarchical protection and control system provides the protection and control of wide area or regional power substations/ plants and their associated power network. The system is mainly divided into three levels, the local, the substation/plant and the wide areaegional protection and control. The integrated functions at each level are described in details with an aim to develop an optimal coordination mechanism between the levels. One of the core elements in the system is the synchronised wide area communication network between the substations and the protection and control system, in which latest communication technology is employed. Another important player in the system is the wide area synchronized protection and control information platform, which not only enables the fusion three line of defence for power system protection and control, but also provides a perfect tool for the application of cloud computing to substations and power networks. 展开更多
关键词 Integrated Protection Wide Area Protection Protection and Control Cloud Computing
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矿山“感知-通信-决策-控制”一体化框架下人工智能应用综述 认领 引用 被引量：2
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作者 陈晓晶 邢震 +8 位作者 包建军 齐智峰 王璐 卞俊 张蓉 孙旭峰 张清 罗克 张振 《煤炭科学技术》 EI CAS CSCD 北大核心 2026年第5期62-79,共18页
为了深入探究人工智能技术在矿山领域的应用现状与发展趋势,推动矿山智能化建设进程,聚焦于人工智能在矿山“感知-通信-决策-控制”一体化框架下的应用展开系统综述,旨在全面梳理该领域的研究成果,为后续研究与实践提供参考。采用文献... 为了深入探究人工智能技术在矿山领域的应用现状与发展趋势,推动矿山智能化建设进程,聚焦于人工智能在矿山“感知-通信-决策-控制”一体化框架下的应用展开系统综述,旨在全面梳理该领域的研究成果,为后续研究与实践提供参考。采用文献调研与综合分析方法,对国内外相关研究成果进行广泛收集与深入剖析。首先,对人工智能的基本内涵与范畴进行概述,明确研究的技术基础。随后,从智能感知、智能通信、智能决策、智能控制4个关键维度,详细阐述人工智能在矿山领域的具体应用。在智能感知方面,涵盖矿工体征及位置感知、设备状态感知、环境状态感知;智能通信涉及智能语音以及5G承载网网络切片流量预测;智能决策包含生产调度与优化决策、安全监控与应急决策等多个层面;智能控制则聚焦于矿山生产过程智能控制、矿山安全联动与应急响应等。研究表明:人工智能在矿山各环节的应用已取得显著成效,有效提升了矿山生产的安全性、效率与智能化水平。然而,当前研究仍存在一些不足,如各环节之间的协同性有待加强,缺乏统一的算力及数据中心支持,大模型与专业模型算法的协同应用尚不完善。人工智能在矿山具有广阔的应用前景。未来,应加强统一的算力及数据中心建设,促进大模型与专业模型算法的协同发展,以实现矿山智能化水平的进一步提升,为矿山行业的可持续发展提供有力支撑。 展开更多
关键词 人工智能 智能矿山 感知-通信-决策-控制 一体化框架 工业互联网
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面向无人机集群的通信与组网技术 认领 引用 被引量：1
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作者 赵海涛 王海军 +2 位作者 陈海涛 张亦弛 魏急波 《国防科技大学学报》 EI CAS CSCD 北大核心 2026年第3期12-35,共24页
无人机集群在军民领域应用前景广阔,发展迅速,面向集群的通信与组网技术是支撑其生成体系、发挥协同效能的关键,为此,系统梳理了面向无人机集群通信与组网的关键技术、研究现状和发展趋势。分析了无人机集群的典型应用场景和组网需求;... 无人机集群在军民领域应用前景广阔,发展迅速,面向集群的通信与组网技术是支撑其生成体系、发挥协同效能的关键,为此,系统梳理了面向无人机集群通信与组网的关键技术、研究现状和发展趋势。分析了无人机集群的典型应用场景和组网需求;从物理层、数据链路层和网络层分别深入论述关键问题和解决方案;结合无人机的信息物理融合特性,分析总结了通信、计算与控制的深度耦合效应及其联合优化方法;针对智能化赋能,剖析了“意图理解-环境适配-资源调度”三位一体的智能架构及其最新研究进展,并面向工程化应用,探讨了高频段通信硬件优化、天线轻量化等关键问题;展望了无人机集群融入未来空天地一体化网络的前景和下一步发展方向,旨在为无人机集群通信与组网领域的顶层规划设计与未来关键技术攻关方向提供参考。 展开更多
关键词 无人机集群 智能通信 大规模组网 空天地一体化网络 信息物理融合 通算控融合
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基于无人机协同的变电站巡检机器人通感算控一体化架构设计 认领 引用
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作者 李新叶 汪翰基 +2 位作者 赵伟 庞起彤 陈博 《电力信息与通信技术》 2026年第4期8-14,I0003,I0004,共7页
在电力系统数字化转型的背景下,为提升变电站智能巡检系统的自主性、实时性与安全性,文章提出一种基于无人机(unmanned aerial vehicle,UAV)协同的巡检机器人通感算控一体化架构。通过UAV与地面机器人之间的协同感知与任务分工,实现对... 在电力系统数字化转型的背景下,为提升变电站智能巡检系统的自主性、实时性与安全性,文章提出一种基于无人机(unmanned aerial vehicle,UAV)协同的巡检机器人通感算控一体化架构。通过UAV与地面机器人之间的协同感知与任务分工,实现对变电站复杂环境的高效覆盖与信息获取,建立UAV控制巡检机器人的线性二次调节器(linear quadratic regulator,LQR)控制成本最小化,提出一种基于元深度确定性策略梯度(meta deep deterministic policy gradient,Meta-DDPG)算法求解该非凸非线性问题。仿真结果表明,相较于基准算法,所提算法以更快的收敛速度降低LQR成本,降低系统延迟。 展开更多
关键词 智能巡检系统 通感算控一体化 变电站 元强化学习
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