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LLM-Enhanced Multi-Agent Transfer Reinforcement Learning for Sensing,Communication,Computing,and Control Co-Optimization in Cyber-Physical Systems 认领 引用
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作者 Junyuan Zhang Chi Xu Haibin Yu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第5期1251-1253,共3页
Dear Editor,With the rapid development of new-generation information and communication technology,the fusion of sensing,communication,computing,and control(S3C)is becoming increasingly significant for cyber-physical s... Dear Editor,With the rapid development of new-generation information and communication technology,the fusion of sensing,communication,computing,and control(S3C)is becoming increasingly significant for cyber-physical systems(CPS).However,due to the non-convexity,the curse of dimensionality,and the partial observability faced by CPS,traditional convex optimization algorithms are challenging to deal with S3C co-optimization. 展开更多
关键词 computing convex optimization algorithms LLM enhanced reinforcement communication sensing learning multi agent
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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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Evolution of Road Traffic Congestion Control:A Survey from Perspective of Sensing,Communication,and Computation 认领 引用 被引量：3
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作者 Wenwei Yue Changle Li +2 位作者 Guoqiang Mao Nan Cheng Di Zhou 《China Communications》 SCIE EI CSCD 2021年第12期151-177,共27页
Road traffic congestion can inevitably de-grade road infrastructure and decrease travel efficiency in urban traffic networks,which can be relieved by employing appropriate congestion control.Accord-ing to different de... Road traffic congestion can inevitably de-grade road infrastructure and decrease travel efficiency in urban traffic networks,which can be relieved by employing appropriate congestion control.Accord-ing to different developmental driving forces,in this paper,the evolution of road traffic congestion control is divided into two stages.The ever-growing num-ber of advanced sensing techniques can be seen as the key driving force of the first stage,called the sens-ing stage,in which congestion control strategies ex-perienced rapid growth owing to the accessibility of traffic data.At the second stage,i.e.,the communica-tion stage,communication and computation capabil-ity can be regarded as the identifying symbols for this stage,where the ability of collecting finer-grained in-sight into transportation and mobility reality improves dramatically with advances in vehicular networks,Big Data,and artificial intelligence.Specifically,as the pre-requisite for congestion control,in this paper,ex-isting congestion detection techniques are first elab-orated and classified.Then,a comprehensive survey of the recent advances for current congestion control strategies with a focus on traffic signal control,vehi-cle route guidance,and their combined techniques is provided.In this regard,the evolution of these strate-gies with continuous development of sensing,com-munication,and computation capability are also intro-duced.Finally,the paper concludes with several re-search challenges and trends to fully promote the in-tegration of advanced techniques for traffic congestion mitigation in transportation systems. 展开更多
关键词 road traffic congestion control congestion detection traffic signal control vehicle route guid-ance sensing techniques communication and compu-tation capability
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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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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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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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Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications,sensing and computing 认领 引用 被引量：1
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作者 Ruijin Sun Yao Wen +3 位作者 Nan Cheng Wei Wang Rong Chai Yilong Hui 《Journal of Information and Intelligence》 2024年第4期302-324,共23页
Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources.However,the overwhelming ... Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources.However,the overwhelming upload traffic may lead to unacceptable uploading time.To tackle this issue,for tasks taking environmental data as input,the data perceived by roadside units(RSU)equipped with several sensors can be directly exploited for computation,resulting in a novel task offloading paradigm with integrated communications,sensing and computing(I-CSC).With this paradigm,vehicles can select to upload their sensed data to RSUs or transmit computing instructions to RSUs during the offloading.By optimizing the computation mode and network resources,in this paper,we investigate an I-CSC-based task offloading problem to reduce the cost caused by resource consumption while guaranteeing the latency of each task.Although this nonconvex problem can be handled by the alternating minimization(AM)algorithm that alternatively minimizes the divided four sub-problems,it leads to high computational complexity and local optimal solution.To tackle this challenge,we propose a creative structural knowledge-driven meta-learning(SKDML)method,involving both the model-based AM algorithm and neural networks.Specifically,borrowing the iterative structure of the AM algorithm,also referred to as structural knowledge,the proposed SKDML adopts long short-term memory(LSTM)networkbased meta-learning to learn an adaptive optimizer for updating variables in each sub-problem,instead of the handcrafted counterpart in the AM algorithm.Furthermore,to pull out the solution from the local optimum,our proposed SKDML updates parameters in LSTM with the global loss function.Simulation results demonstrate that our method outperforms both the AM algorithm and the meta-learning without structural knowledge in terms of both the online processing time and the network performance. 展开更多
关键词 Knowledge-driven meta-learning Integration of communication Sensing and computing Task offloading Vehicular networks
Cooperative sensing,communication and computation resource allocation in mobile edge computing-enabled vehicular networks 认领 引用
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作者 Zhenyu Li Yuchuan Fu +1 位作者 Mengqiu Tian Changle Li 《Journal of Information and Intelligence》 2024年第4期339-354,共16页
The combination of integrated sensing and communication(ISAC)with mobile edge computing(MEC)enhances the overall safety and efficiency for vehicle to everything(V2X)system.However,existing works have not considered th... The combination of integrated sensing and communication(ISAC)with mobile edge computing(MEC)enhances the overall safety and efficiency for vehicle to everything(V2X)system.However,existing works have not considered the potential impacts on base station(BS)sensing performance when users offload their computational tasks via uplink.This could leave insufficient resources allocated to the sensing tasks,resulting in low sensing performance.To address this issue,we propose a cooperative power,bandwidth and computation resource allocation(RA)scheme in this paper,maximizing the overall utility of Cramer-Rao bound(CRB)for sensing accuracy,computation latency for processing sensing information,and communication and computation latency for computational tasks.To solve the RA problem,a twin delayed deep deterministic policy gradient(TD3)algorithm is adopted to explore and obtain the effective solution of the RA problem.Furthermore,we investigate the performance tradeoff between sensing accuracy and summation of communication latency and computation latency for computational tasks,as well as the relationship between computation latency for processing sensing information and that of computational tasks by numerical simulations.Simulation demonstrates that compared to other benchmark methods,TD3 achieves an average utility improvement of 97.11%and 27.90%in terms of the maximum summation of communication latency and computation latency for computational tasks and improves 3.60 and 1.04 times regarding the maximum computation latency for processing sensing information. 展开更多
关键词 Integrated sensing and communication Mobile edge computing Resource allocation Reinforcement learning
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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Embodied-Intelligence Power Industrial Control Systems:Architecture Design,Key Scientific Problems,and Research Recommendations 认领 引用
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作者 Tingjun Zhang Dong Yue 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期239-242,共4页
THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-... THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4]. 展开更多
关键词 power system embodied intelligence power industrial control system power architecture design key scientific problems power industrial control systems sensing communication deviceshas renewable energy resourcescoupled
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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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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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Convergence of computing,communication,and caching in internet of things 认领 引用 被引量：5
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作者 Mohammed Amine Bouras Fadi Farha Huansheng Ning 《Intelligent and Converged Networks》 EI 2020年第1期18-36,共19页
Internet of Things(IoTs)is a big world of connected objects,including the small and low-resources devices,like sensors,as well as the full-functional computing devices,such as servers and routers in the core network.W... Internet of Things(IoTs)is a big world of connected objects,including the small and low-resources devices,like sensors,as well as the full-functional computing devices,such as servers and routers in the core network.With the emerging of new IoT-based applications,such as smart transportation,smart agriculture,healthcare,and others,there is a need for making great efforts to achieve a balance in using the IoT resources,including Computing,Communication,and Caching.This paper provides an overview of the convergence of Computing,Communication,and Caching(CCC)by covering the IoT technology trends.At first,we give a snapshot of technology trends in communication,computing,and caching.As well,we describe the convergence in sensors,devices,and gateways.Addressing the aspect of convergence,we discuss the relationship between CCC technologies in collecting,indexing,processing,and storing data in IoT.Also,we introduce the three dimensions of the IoTs based on CCC.We explore different existing technologies that help to solve bottlenecks caused by a large number of physical devices in IoT.Finally,we propose future research directions and open problems in the convergence of communication,computing,and cashing with sensing and actuating devices. 展开更多
关键词 convergence computing communication caching sensing actuating Internet of Things(IoTs)
A Parallel Distributed Framework for Cooperative Control of CAVs with Less Communication Load 认领 引用
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作者 Jie Ma Qiuxia Hu +1 位作者 Feng Gao Guanglun Zhan 《Automotive Innovation》 EI CSCD 2025年第3期648-661,共14页
To fully utilize the computational resources in the cooperative control environment and achieve global optimization for connected and automated vehicles,a parallel distributed computing framework is presented by a dec... To fully utilize the computational resources in the cooperative control environment and achieve global optimization for connected and automated vehicles,a parallel distributed computing framework is presented by a decomposition strategy.This strategy converts the original centralized optimization problem into a separable form by introducing a set of auxiliary variables and consensus equality constraints to address the coupling components necessary for collision avoidance.Based on the numerical analysis of communication resource consumption in this distributed framework,an information filtering strategy is further designed to enhance communication efficiency by limiting the transmission of consensus variables.Consequently,the global convergence of this parallel algorithm with filtered information is theoretically analyzed under the assumption that the feasible domain is convex.The communication traffic,cooperative control,numerical optimization performance of the proposed framework and parallel algorithm are validated and assessed through several simulation and experimental tests with the intersection scenario. 展开更多
关键词 Cooperative control Connected and automated vehicle(CAV) Communication efficiency Parallel computation
Principle demonstration of fine pointing control system for inter-satellite laser communication 认领 引用 被引量：7
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作者 DONG YuHui LIU HeShan +2 位作者 LUO ZiRen LI YuQiong JIN Gang 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2015年第3期449-453,共5页
Due to high data rates and reliability,inter-satellite laser communication has developed rapidly in these days.However,the stability of the laser beam pointing is still a key technique which needs to be solved;otherwi... Due to high data rates and reliability,inter-satellite laser communication has developed rapidly in these days.However,the stability of the laser beam pointing is still a key technique which needs to be solved;otherwise,the beam pointing jitter noise would reduce the communication quality or,even worse,would make the inter-satellite laser communication impossible.For this purpose,a bench-top of the fine beam pointing control system has been built and tested for inter-satellite laser communication.The pointing offset of more than 100rad is produced by the steering mirror.With beam pointing control system turned on,the offset could be rapidly suppressed to lower than 100 nrad in less than 0.5 s.Moreover,the pointing stability can be kept at 40 nrad for yaw motion and 62 nrad for pitch motion,when the received beam jitter is set at 20rad. 展开更多
关键词 laser beam pointing control inter-satellite laser communication heterodyne laser interferometer differential wave-front sensing（DWS） technique
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Federated Learning for 6G:Applications,Challenges,and Opportunities 认领 引用 被引量：28
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作者 Zhaohui Yang Mingzhe Chen +2 位作者 Kai-Kit Wong H.Vincent Poor Shuguang Cui 《Engineering》 SCIE EI CAS CSCD 2022年第1期33-41,共9页
Standard machine-learning approaches involve the centralization of training data in a data center,where centralized machine-learning algorithms can be applied for data analysis and inference.However,due to privacy res... Standard machine-learning approaches involve the centralization of training data in a data center,where centralized machine-learning algorithms can be applied for data analysis and inference.However,due to privacy restrictions and limited communication resources in wireless networks,it is often undesirable or impractical for the devices to transmit data to parameter sever.One approach to mitigate these problems is federated learning(FL),which enables the devices to train a common machine learning model without data sharing and transmission.This paper provides a comprehensive overview of FL applications for envisioned sixth generation(6G)wireless networks.In particular,the essential requirements for applying FL to wireless communications are first described.Then potential FL applications in wireless communications are detailed.The main problems and challenges associated with such applications are discussed.Finally,a comprehensive FL implementation for wireless communications is described. 展开更多
关键词 Federated learning 6G Reconfigurable intelligent surface Semantic communication Sensing Communication and 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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基于边缘计算架构与流体运移机理的煤矿瓦斯主动防控系统 认领 引用
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作者 张科学 李成章 +10 位作者 陈学习 王晓玲 马砺 张美长 王猛 李小磊 闫星辰 李伟涛 许雯 吕鑫淼 刘晨阳 《工矿自动化》 CSCD 北大核心 2026年第4期45-54,87,共10页
针对煤矿井下瓦斯积聚过程的非线性、时变性及传统中心化监测的控制滞后难题,提出了一种基于边缘计算架构与流体运移机理的智能化煤矿瓦斯主动防控系统设计方案。该系统采用主从协同的星型网络拓扑,在逻辑上将防控任务划分为感知边缘与... 针对煤矿井下瓦斯积聚过程的非线性、时变性及传统中心化监测的控制滞后难题,提出了一种基于边缘计算架构与流体运移机理的智能化煤矿瓦斯主动防控系统设计方案。该系统采用主从协同的星型网络拓扑,在逻辑上将防控任务划分为感知边缘与决策边缘2层。感知边缘在源端完成对气敏传感器信号的过采样与数字滤波,直接输出高置信度的瓦斯浓度数值,从物理层消除模拟信号长距离传输的干扰噪声,同时配合时分多址接入(TDMA)通信协议,仅在分配的时隙窗口内发送有效数据,显著降低了信道拥塞概率与系统整体功耗。不同于传统硬性阈值开关控制,决策边缘内置基于瓦斯运移机理的模糊PID算法,当检测到瓦斯浓度偏差或变化率异常时,系统能预判瓦斯积聚趋势,并通过高频脉冲宽度调制信号动态调整通风机转速,规避长距离通信带来的不确定性。仿真与样机测试结果表明:该系统在20%误包率的恶劣射频环境下,控制指令的确定性交互时延极限压缩至0.5 s。在面对流场参数±20%模型失配及瓦斯突涌工况时,算法展现出极强的收敛鲁棒性,动态超调量被严格限制在3.4%以内。引入的安全约束优先机制将全链路物理安全处置时间由常规策略的72.3 s缩短至41.7 s,在有效避免通风机机械疲劳损伤的同时,实现了对瓦斯积聚风险的快速主动防御与平滑复归。 展开更多
关键词 瓦斯主动防控 边缘计算 强电磁干扰 模糊PID 流体运移机理 TDMA 感知边缘 决策边缘
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新一代煤矿智能安全监控系统研究与展望 认领 引用
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作者 王国法 郭清华 +3 位作者 周如林 李爽 张德胜 秦泽宇 《中国矿业大学学报》 EI CAS CSCD 北大核心 2026年第2期271-287,共17页
传统安全监控系统采用“监测—报警—断电”的被动响应模式,难以满足煤矿智能化建设对主动预警与协同控制的需求.本文在系统分析我国煤矿安全监测监控系统发展历程基础上,界定了新一代智能安全监控系统的内涵特征,提出了基于“云-边-端... 传统安全监控系统采用“监测—报警—断电”的被动响应模式,难以满足煤矿智能化建设对主动预警与协同控制的需求.本文在系统分析我国煤矿安全监测监控系统发展历程基础上,界定了新一代智能安全监控系统的内涵特征,提出了基于“云-边-端”架构的系统总体架构和技术路线:分别从“端”侧感知层,对传感器共性技术、气体激光检测、精准测风等技术研究现状,从“端-边”协同角度对矿用轨道式、无轨式及单兵巡检设备等巡检机器人在复杂井下环境中的适应性及关键技术,从“边”侧控制层对长距离全IP组网、通算控一体化技术,从“云”侧平台层对基于统一数据底座的灾害融合监控、多灾种复合监测预警等系统关键技术进展进行了研究.通过现场工业性验证,所研究智能安全监控系统误报率显著降低(降27.3%),隐患主动识别能力与巡检智能化水平有效提升.最后,对新一代煤矿智能安全监控系统的发展趋势进行了展望,指出未来应致力于制定统一的通信协议标准平台、研发煤矿安全垂直大模型,构建异构巡检机器人群体智能体系,最终形成矿井数智化精准防灾新范式,为全面提升煤矿本质安全水平提供理论和技术支撑. 展开更多
关键词 智能安全监控系统 “云-边-端”架构 智能感知 多灾种预警 通算控一体化 巡检机器人 大模型
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