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Unmanned Air Vehicles Launching Aircraft Combat System and Key Technologies for Penetrating Counterair Minghao Li, Wenhao Bi, An Zhang, Wenxuan Sun Journal of System Simulation    2022, 34 (9): 1920-1932.   DOI: 10.16182/j.issn1004731x.joss.21-0403 Abstract （2243）   HTML （651）    PDF（pc） （1197KB）（2403）       Knowledge map    Save Penetrating counterair is an important countermeasure to the anti-access/area denial environment. Under this operational requirement, the unmanned air vehicles launching aircraft (UAVLA)has received much attention due to the advantages of load quantity and variety, operational range and duration, and development time and cost. Based on the review of the concept development and supporting research related to the UAVLA, the top-level concepts of operations such as the component systems,operational process, operational events tracking, and information interaction of the UAVLA combat system (UAVLACS) are designed. The key technologies of the system are prospected from four aspects:intelligent cognition of battlefield situation under complex environment, trusted and reliable long-range resilient communication, multi-UAVs bionic autonomous decision making and coordination, and universal UAVs launch control in the cargo bay, to promote the development of UAVLACS and technology reserve,and provide a theoretical basis and modeling framework for the simulation and evaluation of UAVLACS operation process and functions. Table and Figures | Reference | Related Articles | Metrics

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Review on Ecological Construction of Domestic High-performance Parallel Application Software in Post Moore Era Chunye Gong, Jie Liu, Weimin Bao, Dongmei Pan, Xinbiao Gan, Shengguo Li, Xuguang Chen, Tiaojie Xiao, Bo Yang, Ruibo Wang Journal of System Simulation    2022, 34 (10): 2107-2118.   DOI: 10.16182/j.issn1004731x.joss.21-1365 Abstract （1455）   HTML （723）    PDF（pc） （2724KB）（1561）       Knowledge map    Save Domestic high performance computing (HPC) system is world-leading and the system chip architectures are in varied forms. The system operation relied on National Supercomputing Center has a good development trend. Several technical key points of domestic high-performance parallel application software are word-leading and the application supporting environment is developing fast. But industrial software and team building are facing huge challenges. In post Moore era, based on the progress of human civilization, it is necessary to promote the ecological development of parallel application software, and from the viewpoint of software products the industrial software must be aim foreign commercial software at all aspects. The application software cloud, the collaborative optimization of software, hardware and the domain-oriented custom chip architecture and compiler should be concerned. The open source mode, protecting intellectual property right and expert evaluation should be kept pace with the times to ensure the prosperity of the application software ecology. Table and Figures | Reference | Related Articles | Metrics

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Research on Opponent Modeling Framework for Multi-agent Game Confrontation Junren Luo, Wanpeng Zhang, Weilin Yuan, Zhenzhen Hu, Shaofei Chen, Jing Chen Journal of System Simulation    2022, 34 (9): 1941-1955.   DOI: 10.16182/j.issn1004731x.joss.21-0363 Abstract （2665）   HTML （199）    PDF（pc） （1776KB）（1433）       Knowledge map    Save As the key technology of multi-agent game confrontation, opponent modeling is a typical cognitive modeling method of agent's behavior. Several typical models of multi-agent game confrontation,non-stationary problems, and meta-game theory are introduced; opponent modeling methods that concludes the frontier theory of opponent modeling are summarized, and the applications and challenges are analyzed. Based on the theory of meta-game, a general opponent modeling framework is constructed with three modules: opponent policy recognition and generation, opponent policy space reconstruction,and opponent exploitation. It is expected to provide theoretical and methodological reference for opponent modeling in multi-agent game confrontation. Table and Figures | Reference | Related Articles | Metrics

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Image Dehazing Network Based on Densely Connected Residual Block and Channel Pixel Attention Weidong Jin, Shuli Zhang, Peng Tang, Man Zhang Journal of System Simulation    2022, 34 (8): 1663-1673.   DOI: 10.16182/j.issn1004731x.joss.21-1160 Abstract （2308）   HTML （1255）    PDF（pc） （4691KB）（1431）       Knowledge map    Save Abstruct: A lot of research achievements have been made in image dehazing based on neural network,but there aiming at the fog residue, even the color distortion and texture loss, in complex outdoor image dehazing, an image dehazing network based on densely connected residual block and channel pixel attention is proposed. Densely connected residual blocks are used to extract and fuse the features of foggy images,and the repair module with channel pixel attention mechanism is used to repair the color and texture of the feature maps. The experimental results show that, compared with the existing methods, the proposed method and significantly improves the objective evaluation index and subjective visual quality, effectively avoid the color distortion, texture loss and residual fog in the process of image dehazing. Table and Figures | Reference | Related Articles | Metrics

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Summary of Simulation Technology and Its Application in Training Field Zhiming Qiu, Heng Li, Yufang Zhou, Duzheng Qing Journal of System Simulation    2023, 35 (6): 1131-1143.   DOI: 10.16182/j.issn1004731x.joss.23-0351 Abstract （1569）   HTML （645）    PDF（pc） （3245KB）（1407）       Knowledge map    Save High-tech weapons, operations and battlefield environment become more and more increasingly sophisticated. It is an effective way to resolve the conflicts between huge equipment training cost and limited resources and improve training quality by building networked, systematic and intelligent simulation training equipment and system, and conducting systematic countermeasure simulation training based on present simulation technologies and training resources. The current situation and trend of the development of system architecture of simulation, simulation modeling, enemy simulation, information system simulation, etc are evaluated and summarized. It initially analyses the application and efficacy on the US Navy's normalized training environment, typical systems such as 'Alpha' intelligence air war simulation training system and the American 2021 large-scale military exercises are analyzed. Aiming at the real combat simulation training capacity under the combat condition, five research directions are proposed, which could be the references for engineering and technical personnel in this field. Table and Figures | Reference | Related Articles | Metrics

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Research Progress of Opponent Modeling Based on Deep Reinforcement Learning Haotian Xu, Long Qin, Junjie Zeng, Yue Hu, Qi Zhang Journal of System Simulation    2023, 35 (4): 671-694.   DOI: 10.16182/j.issn1004731x.joss.22-0555 Abstract （947）   HTML （522）    PDF（pc） （856KB）（1356）       Knowledge map    Save Deep reinforcement learning is an agent modeling method with both deep learning feature extraction ability and reinforcement learning sequence decision-making ability, which can make up for the depleted non-stationary adaptation, complex feature selection and insufficient state-space representation ability of traditional opponent modeling. The deep reinforcement learning-based opponent modeling methods are divided into two categories, explicit modeling and implicit modeling, and the corresponding theories, models, algorithms and applicable scenarios are sorted out according to the categories. The applications of deep reinforcement learning-based opponent modeling techniques on different fields are introduced. The key problems and future development are summarized to provide a comprehensive research review for the deep reinforcement learning-based opponent modeling methods. Table and Figures | Reference | Related Articles | Metrics

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Overview of Research and Application on Autonomous Vehicle Oriented Perception System Simulation Ruoxuan Wang, Jianping Wu, Hui Xu Journal of System Simulation    2022, 34 (12): 2507-2521.   DOI: 10.16182/j.issn1004731x.joss.22-FZ0921 Abstract （1936）   HTML （661）    PDF（pc） （702KB）（1208）       Knowledge map    Save Following the rapid progress of science and technology, vehicles with autonomous driving or auxiliary driving function enter into vehicle market. However, in the past decade, traffic accidents still occurred frequently, and the safety of these functions become the focus. Simulation technology provides a good platform to test the perception system of autonomous vehicle. Focus on the sensor simulation modeling of autonomous vehicle perception system, from the perspective of single sensor simulation, multi-sensor simulation and classic simulation platform including millimeter wave radar, lidar and camera, the existing research are reviewed, and the shortcomings and development trends of simulation modeling of perception system are summarized. The perception efficiency, travel safety, and the development of autonomous vehicle is promoted. Table and Figures | Reference | Related Articles | Metrics

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Development of Several Typical Virtual Reality Fusion Technologies Feng Qiqi, Dong Zhiming, Peng Wencheng, Dai Yi, Si Bingshan Journal of System Simulation    2023, 35 (12): 2497-2511.   DOI: 10.16182/j.issn1004731x.joss.22-0793 Abstract （803）   HTML （614）    PDF（pc） （4184KB）（1150）       Knowledge map    Save Virtual reality fusion can realize the two-way interaction, mapping and linkage between virtual world and physical world, which attracts the attention of countries in the world. In order to sort out and make statistics on concept connotation, academic status and application of the related new technologies, digital twin, cyber-physical systems, metaverse and live-virtual-constructive simulation are taken as representatives.The comparison on the development process, functional characteristics, target trends, etc. is carried out. Table and Figures | Reference | Related Articles | Metrics

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Metaverse Concept and Its Military Application Tan Zhao, Lin Wu, JiuYang Tao, Shuai Li Journal of System Simulation    2023, 35 (7): 1405-1420.   DOI: 10.16182/j.issn1004731x.joss.23-0722 Abstract （1349）   HTML （576）    PDF（pc） （2491KB）（1080）       Knowledge map    Save Metaverse is a concept describing the fusion and interaction between virtual and real, which has become popular in business and academia since 2021. The aim is to study possible applications of metaverse in military. We sort out the definition, characteristics and development of this concept. Then we analyze the necessity of using the concept of military metaverse from the expansion of modeling and simulation(M&S) and live-virtual-constructive(LVC) simulation. And then we study the possible improvements of the military metaverse from the actual needs of military training, operation and information resource management. We sort out the prototype products of the military metaverse under development and analyze their typical development methods. Table and Figures | Reference | Related Articles | Metrics

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Cloud-Edge Collaborative Service Architecture for LVC Training System Peng Yong, Zhang Miao, Hu Yue Journal of System Simulation    2023, 35 (9): 1825-1836.   DOI: 10.16182/j.issn1004731x.joss.23-0681 Abstract （1552）   HTML （769）    PDF（pc） （1466KB）（1006）       Knowledge map    Save LVC training, an important means of military training, has received great attention from military and M&S experts. As the virtual and physical elements become more abundant and deeply integrated, LVC training systems become increasingly complex. Aiming at physical-virtual connection, information interaction, simulation computation, run-time control, etc., this paper designs a cloud-edge collaborative service architecture for LVC training systems (CESA-LVC) by reference to cyber-physical systems and cloud-edge computing architectures. CESA-LVC standardizes the structures of LVC training systems from several aspects of intelligent real-time interconnection, joint simulation computation, training auxiliary service, training cognitive decision, and dynamic configuration optimization. It provides a reference model for the design and development of a service-oriented, flexible deployment, and efficient LVC training system. The paper discusses the key technical problems of joint simulation computation, complex network communication, and complex system control. The prototype system for LVC training spanning three provincial-level regions is realized, and the main indicators of each level of CESA-LVC architecture are verified, which proves the rationality of the architecture design. Table and Figures | Reference | Related Articles | Metrics

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Demand Forecasting Method of Emergency Materials Based on Metabolic Gray Markov Long Ma, Baodong Qin, Na Lu, Meng Kou Journal of System Simulation    2023, 35 (2): 229-240.   DOI: 10.16182/j.issn1004731x.joss.21-0874 Abstract （1028）   HTML （852）    PDF（pc） （1675KB）（961）       Knowledge map    Save In order to improve the prediction accuracy of the demand for emergency materials of people affected by the disaster, a forecasting method based on metabolism-gray Markov's is proposed. To realize the dynamic prediction of the number of people affected by the disaster, according to demand forecast ideas, the prediction model of metabolism-gray Markov fused is constructed progressively through gray, Markov and metabolism theories. A flexible demand forecasting model for emergency supplies is built through safety stock theory to complete the balance of supply and demand between people number and the materials demand. The prediction results of different models show that the relative error of the proposed prediction model is 0.002 1% smaller better than other models, and the prediction accuracy is significantly better than that of the gray model, in which the prediction of the number of people affected by disasters and the demand for emergency supplies have a higher fit degree. Table and Figures | Reference | Related Articles | Metrics

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Development Opportunities and Application Prospects of Aero-Engine Simulation Technology under Digital Transformation Jianguo Cao Journal of System Simulation    2023, 35 (1): 1-10.   DOI: 10.16182/j.issn1004731x.joss.23-0040 Abstract （1560）   HTML （646）    PDF（pc） （1481KB）（953）       Knowledge map    Save The development of China's social economy and the improvement of its national defense capability in the new era put forward higher requirements for the development of aero-engines. It is urgent to promote the digital transformation of aero-engines in order to achieve coordinated, agile and efficient aero-engine development. Based on the current research and development of aero-engine in China, this paper clarifies the new connotation of "speediness and efficiency, accurate mapping, comprehensive coverage, and dynamic prediction" given by the development of emerging cutting-edge technologies to aero-engine simulation technology, as well as the new technical features of "spatio-temporal ubiquity, data driven, dynamic evolution, standardization and controllability, intelligence and high-efficiency". The technical framework of aero-engine simulation is put forward and analyzed, which is characterized by "full coverage of applications, efficient transmission of data, and full penetration of models". It also discussed the opportunities brought by the development of digital transformation in aero-engine simulation including authoritative data source construction, whole system model digital thread, fast numerical calculation, simulation credibility evaluation and dynamic evolution of the whole simulation process. The prospect of further application of aero-engine simulation technology in aero-engine development stage, such as requirement demonstration, collaborative development, operation and maintenance, is proposed under the digital transformation. Table and Figures | Reference | Related Articles | Metrics

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Survey on Intelligent Wargaming: Tactical & Campaign Wargame and Strategic Game from Game-Theoretic Perspective Luo Junren, Zhang Wanpeng, Xiang Fengtao, Jiang Chaoyuan, Chen Jing Journal of System Simulation    2023, 35 (9): 1871-1894.   DOI: 10.16182/j.issn1004731x.joss.23-0300 Abstract （1132）   HTML （74）    PDF（pc） （4154KB）（918）       Knowledge map    Save Wargaming is a pre-practice activity to study national security and competition, military conflict and war, crisis management, and other major strategic issues. An intelligent wargaming system needs the ability of artificial intelligence technology. This paper briefly summarizes the research progress of intelligent game, the evolution of wargaming, intelligent wargaming, and strategic gaming methods. From the perspective of game theory, it analyzes the game problem model for intelligent wargaming and sorts out the application mode of intelligent wargaming and the organization mode of a strategic game. An intelligent wargaming service-oriented architecture based on cloud native is proposed. Pre-training method for future decision-making cloud is explored for distributed confrontation at cloud edge, and a meta-game analysis framework for strategic wargaming is constructed for cognition of crisis events. It is expected to provide a scientific and effective reference for the research on the theory and tools of intelligent wargaming and offer theoretical and technical support for the new generation of intelligent cloud-edge cooperative command and control. Table and Figures | Reference | Related Articles | Metrics

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Multi-robot Path Planning Based on CBS Algorithm Qiao Qiao, Yan Wang, Zhicheng Ji Journal of System Simulation    2022, 34 (12): 2659-2669.   DOI: 10.16182/j.issn1004731x.joss.22-FZ0926 Abstract （607）   HTML （41）    PDF（pc） （2164KB）（860）       Knowledge map    Save Aiming at the long multi-robot planning path and long one-way search running time of conflict-based search(CBS) in the multi-agent path finding(MAPF), an improved CBS algorithm is proposed, which in a two-way A* focus search is used to optimize the search direction and search method. The suboptimal factor\omegais introduced into the underlying search function of the CBS algorithm to improve the efficiency of path search. The one-way search in the conflict search algorithm is optimized to a two-way A* search. The experimental results show that the path cost of the improved CBS algorithm is shortened by 14.82%, and the total running time is shortened by 10.63%. Table and Figures | Reference | Related Articles | Metrics

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Military Metaverse: Key Technologies, Potential Applications and Future Directions Zhao Zhang, Yujie Guo, Xiaoning Zhao, Baoliang Sun, Shuanghou Deng, Guoxu Feng Journal of System Simulation    2023, 35 (7): 1421-1437.   DOI: 10.16182/j.issn1004731x.joss.23-0104 Abstract （1210）   HTML （97）    PDF（pc） （3118KB）（816）       Knowledge map    Save Since its emergence, the concept of metaverse has been applied to many fields. At present, the transformation of military intelligence, digitalization and information technology is advancing in an all-round way. The military enabled by metaverse technology will accelerate the process of military reform in the new era. To explore the potential application of metaverse in the military field, this paper first introduces several key technologies of metaverse and their functions in the military field, and then discusses some potential directions for the application of metaverse in weapon development and support, training and teaching of officers and soldiers, tactical command and situational awareness, systematic cooperative operations. The challenges in the current and future development of the military metaverse are considered, and its future development and application are discussed. Table and Figures | Reference | Related Articles | Metrics

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Research on High-performance Emulation Technology of Starlink Constellation Based on Cloud Platform Yuan Liu, Xinyi Xue, Xiaofeng Wang Journal of System Simulation    2022, 34 (10): 2221-2232.   DOI: 10.16182/j.issn1004731x.joss.21-0701 Abstract （633）   HTML （23）    PDF（pc） （3206KB）（790）       Knowledge map    Save Network emulation on Starlink constellation is an important verification and evaluation tool for the design and construction of low earth orbit constellations in the future. Aiming at the characteristics of large-scale and complex structure of the Starlink network, a high-performance satellite network emulation system is designed. Based on the distributed network emulation architecture of cloud platform, through the development of STK Engine underlying interface, satellite model library storage optimization and asynchronous message transmission technology, the rapid deployment of Starlink constellation is carried out, and has good scalability. The experimental results show that the proposed method can carry out the automated modeling of a complex satellite network of 400 satellites. Compared with the traditional method, the deployment efficiency is improved by 39.07%. The method is an emulation technical support for the construction of large-scale low earth orbit satellites. Table and Figures | Reference | Related Articles | Metrics

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Turbofan Engine Fault Prediction Based on Evidential Reasoning and Belief Rule Base Hailong Zhu, Ruxia Jia, Liang Zhang, Wei He Journal of System Simulation    2022, 34 (09): 2074-2086.   DOI: 10.16182/j.issn1004731x.joss.21-0396 Abstract （577）   HTML （21）    PDF（pc） （636KB）（784）       Knowledge map    Save Aiming at the fault prediction problem of a turbofan engine, a fault prediction model based on evidential reasoning (ER) and belief rule base (BRB) is proposed. In order to describe the health state of turbofan engine, ER algorithm is adopted to fuse the state information. Combined with prior knowledge, a hybrid driven simulation prediction of BRB model is established. Projection covariance matrix adaptive evolution strategy (P-CMA-ES) is used to optimize the model parameters. The validity of the model is verified by experiments. Experimental results show that the proposed method not only accurately predicts the probability of failure risk of the turbofan engine, but also provides strong support for fault diagnosis and maintenance support. Table and Figures | Reference | Related Articles | Metrics

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Application of Virtual-Real Simulation in Military Field Mao Ziquan, Gao Jialong, Gong Jianxing, Liu Quan Journal of System Simulation    2023, 35 (11): 2289-2311.   DOI: 10.16182/j.issn1004731x.joss.22-0672 Abstract （1054）   HTML （447）    PDF（pc） （1673KB）（769）       Knowledge map    Save The definition and content of the virtual-real simulation are presented. According to different technical ideas, the development status and existing problems of virtual-real simulation are summarized from three aspects of digital twin, live-virtual-constructive (LVC) simulation, and parallel system. The similarities and differences, as well as the advantages and disadvantages of the three methods are analyzed and compared, and their main application fields are discussed. In order to deal with difficulties encountered in military training, operational tests, equipment development, and equipment maintenance, a solution based on virtual-real simulation is proposed by means of theoretical guidance, case comparison, and transfer and application. In view of the requirements of high fidelity, confidentiality, and security of relevant equipment and tests in the military field, the future development direction of virtual-real simulation is proposed. Table and Figures | Reference | Related Articles | Metrics

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Design of Optical Compound Eye Simulation Software for Small Aircraft Applications Qiming Qi, Ruigang Fu, Ping Wang, Min Wang, Hongqi Fan Journal of System Simulation    2022, 34 (09): 1999-2008.   DOI: 10.16182/j.issn1004731x.joss.21-0317 Abstract （1476）   HTML （97）    PDF（pc） （3909KB）（719）       Knowledge map    Save Optical compound eye has the advantages of large field of view, multiple viewing angles and high resolution. With another advantage that it can conformal combine with small aircraft, optical compound eye has application value in reconnaissance and surveillance, target detection, image navigation and other aspects. An optical compound eye simulation software for small aircraft is designed for the current situation of long development period of optical compound eye design and high cost of flight test in practical applications. The software integrates compound eye imaging, aircraft simulation and data management, and each functional module is extensible. The simulation results show that the frame rate can reach 23.3 fps under the configuration of 9 sub-eyes, and the results are accurate. The software can be used for the optimization of optical compound eye design scheme and the test of processing algorithms, which is of great significance to the development of aircraft application. Table and Figures | Reference | Related Articles | Metrics

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Research on Mobile Edge Computing Resource Allocation with Energy Harvesting Device Changyun Li, Jianbo Li, Xi Xu, Tingli Li Journal of System Simulation    2022, 34 (11): 2313-2322.   DOI: 10.16182/j.issn1004731x.joss.21-0576 Abstract （747）   HTML （507）    PDF（pc） （1056KB）（665）       Knowledge map    Save In order to solve the problem of computing resource allocation of mobile edge computing system with energy gathering ability, an algorithm based on Lyapunov greed optimization (LGO) is proposed. This paper presents a dynamic optimization problem to minimize the combined cost of time delay and energy consumption of mobile devices under the gradual convergence of equipment battery power. Using Lyapunov dynamic optimization theory, the optimization problem is decomposed into three sub-problems of optimal local execution, unloading execution and energy harvesting for each time slot, and the optimal solution of the sub-problems is obtained by linear programming. By selecting the execution mode between local execution, unload execution and task discarding, the combined cost of time delay and energy consumption of the vehicle can be minimized. The greedy policy program is designed by using key-value pairs to adapt to multi-user and multi-server systems. The simulation results show that under the condition that the battery power of all equipment is stable around the specified operating level, the unloading rate can reach more than 99.9%, and the service delay and system energy consumption can be effectively reduced. Table and Figures | Reference | Related Articles | Metrics

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Simulation and Optimization of Integrated Production Logistics System of Underground Coal Mining, Dressing, and Backfilling Xiangqian Wang, Puhao Guo, Xiangrui Meng Journal of System Simulation    2023, 35 (5): 907-919.   DOI: 10.16182/j.issn1004731x.joss.22-0055 Abstract （883）   HTML （541）    PDF（pc） （2203KB）（649）       Knowledge map    Save In order to study the green mining mode of coal, the bottleneck problem in the integrated production logistics system of underground coal mining, dressing, and backfilling under the goal of achieving the basic production capacity target is explored, so as to promote the coordinated and efficient logistics transportation of underground coal and gangue. A mine in Shanxi is selected as the prototype, and the queuing theory is adopted to analyze the operation process of the integrated coal production logistics system. A discrete event model is established with the help of Anylogic simulation software for related experimental optimization and calculation. According to the simulation results, the intelligent sorting system, lifting equipment, and crusher serve as the production bottlenecks of the integrated coal production logistics system, and relevant optimization experiments are carried out to improve the utilization rate of the equipment and promote the coordinated operation of the system. Table and Figures | Reference | Related Articles | Metrics

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Modeling and Simulation of SOFC System with Heat Transfer among BoP Components Ling Hong, Rongmin Wu, Jianwu Zhou, Tian Xia, Xiaojie Li, Pengjie Tian, Hao Peng, Chunhui Shou Journal of System Simulation    2022, 34 (7): 1383-1392.   DOI: 10.16182/j.issn1004731x.joss.22-0281 Abstract （635）   HTML （344）    PDF（pc） （3209KB）（622）       Knowledge map    Save High temperature solid oxide fuel cell (SOFC) is a high temperature and efficient hydrogen-electric conversion device. Its high temperature operating environment puts forward higher requirements for thermal insulation of stack and balance of plants(BoP) in the system. In this paper, a lumped SOFC system model is established based on the thermal efficiency-heat transfer unit number method (ε-NTU method), in combination with limited measurable parameters for high-temperature system.Quantitative analysis of components temperature and heat transfer among components can be achieved by heat exchange simulation between components and BoP hot-box environment. A simple feedback controlleris designed for system self-starting and operation. Results show that the BoP hot-box plays the role of temperature balance, which is benefit for waste heat utilization by heating the inlet gas, and lower the highest equipment temperature for a longer system lifetime. Table and Figures | Reference | Related Articles | Metrics

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Parallel Simulation System of Equipment Precision Maintenance Based on Cloud-Edge-End Architecture Yanqiang Di, Ting Li, Shaochong Feng, Qiongyao Liu, Jianhong Lü, Zhijia Chen, Yang Zhang, Pengfei Cao Journal of System Simulation    2022, 34 (9): 1909-1919.   DOI: 10.16182/j.issn1004731x.joss.22-0220 Abstract （887）   HTML （269）    PDF（pc） （1915KB）（614）       Knowledge map    Save Aiming at the demands of equipment precision maintenance, based on the previous research results of equipment parallel simulation, the algorithm of equipment remaining useful life (RUL)prediction is optimized and a parallel simulation system for equipment precision maintenance with cloud-edge-end architecture is designed. At the equipment end, the system collects equipment status data and preprocesses it with edge devices. At the cloud end, based on simulation model, in parallel with the equipment entity, the system dynamically predicts the RUL of equipment. The prediction results are applied to the formulation and deduction of equipment maintenance plans to support the equipment precision maintenance. Table and Figures | Reference | Related Articles | Metrics

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Task Allocation Method for Multi-UAV Cooperative Reconnaissance in Complex Environment Fuzhen Zhang, Yaoqin Zhu Journal of System Simulation    2022, 34 (10): 2293-2302.   DOI: 10.16182/j.issn1004731x.joss.21-0552 Abstract （525）   HTML （27）    PDF（pc） （2068KB）（607）       Knowledge map    Save The existing cooperative planning methods of multiple UAVs often carry out path planning and task allocation separatly, which causes the cooperative scheme not being the best in a complex environment. The cost matrix of multi-UAV cooperative reconnaissance on heterogeneous targets is established. Aiming at the various obstacle constraints and the characteristics of UAV motion and track in complex environment, an improved PSO-AFSA is used to solve the single UAV track planning model. Hungarian algorithm is used to complete the cooperative allocation of reconnaissance tasks of UAVs. The simulation results show that the algorithm can make the flying range of single UAV shorter and the flight path smoother, and can realize the tight coupling with the task collaborative allocation, so and the total cost of the total flight range of UAV cluster is the lowest and the rationality of task allocation is improved. Table and Figures | Reference | Related Articles | Metrics

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Learning-Based High-Performance Algorithm for Long-Term Motion Prediction of Fluid Flows Jingyuan Zhu, Huimin Ma, Jian Yuan Journal of System Simulation    2023, 35 (3): 435-453.   DOI: 10.16182/j.issn1004731x.joss.22-1507 Abstract （741）   HTML （422）    PDF（pc） （3177KB）（573）       Knowledge map    Save Simulating the dynamics of fluid flows accurately and efficiently remains a challenging task nowadays, and traditional fluid simulation methods consume large computational resources to obtain accurate results. Deep learning methods have developed rapidly, which makes data-based fluid simulation and generation possible. In this paper, a motion prediction algorithm for long-term fluid simulation is proposed, which is based on a density field with a single frame and a previous velocity field of a sequence. The model focuses on matching the velocity and density fields predicted by the neural network with the simulated data based on the Navier-Stokes equation at a macroscopic level. With the help of fully convolutional U-Net-based autoencoders and LSTM-based time series prediction subnetworks, the model better maintains the visual macroscopic similarity during temporal evolutions and significantly improves computation speed. As a result, the proposed method achieves accurate and rapid long-term motion prediction for the macroscopic distributions of flow field evolution. In addition, the paper demonstrates the effectiveness and efficiency of the proposed algorithm on a series of benchmark tests based on two-dimensional (2D) and three-dimension (3D) simulation data. Table and Figures | Reference | Related Articles | Metrics

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Image Center Layout Optimization Method Based on Improved Genetic Algorithm Zhijie Li, Haoqi Shi, Changhua Li, Jie Zhang Journal of System Simulation    2022, 34 (6): 1173-1184.   DOI: 10.16182/j.issn1004731x.joss.20-1043 Abstract （961）   HTML （472）    PDF（pc） （1121KB）（569）       Knowledge map    Save Aiming at the layout optimization methods of image center being influenced by the subjective factors and low level of automation, a method of combining systematic layout planning(SLP) with the improved genetic algorithm is proposed. The layout scheme generated by SLP improves the initial population of the genetic algorithm and increases the diversity of the initial population. In order to improve the efficiency of optimization, the improved algorithm updates the crossover probability and mutation probability adaptively according to the evolution stages and the fitness value of the individuals. On the basis of the layout area model and multi-objective optimization mathematical model established for an image center in Xi'an, the improved genetic algorithm is used to in the simulation. The experimental results show that the improved algorithm is faster and more effective than the traditional genetic algorithm or ant colony algorithm. The method can also improve the automation level of image center layout optimization and provide a reasonable reference scheme for the architectural designers. Table and Figures | Reference | Related Articles | Metrics

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Modeling and System Realization of Assembly Robot Based on Digital Twin Jian Xu, Xin Song, Xiuping Liu, Bo Chen, Huanying Yan Journal of System Simulation    2023, 35 (7): 1497-1507.   DOI: 10.16182/j.issn1004731x.joss.22-0272 Abstract （437）   HTML （42）    PDF（pc） （2979KB）（552）       Knowledge map    Save Aiming at the problems of time-consuming, labor-intensive and poor accuracy in programming of complex operations of industrial assembly robots, an online programming method for robots based on digital twin is proposed. From the four dimensions of geometry, contact dynamics, behavior and rules, the faithful mapping of the robot from real to virtual space is realized. The verification of multi-part assembly trajectory planning program, real-time synchronous operation and state monitoring are realized. An assembly robot modeling and online programming system based on digital twin is designed and built. A six-axis industrial robot cell is taken as an example to verify the practicality and accuracy of the system, which provides a new solution for complex assembly robot programming. Table and Figures | Reference | Related Articles | Metrics

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A Framework on Equipment Digital Twin Credibility Assessment Han Lu, Lin Zhang, Kunyu Wang, Zejun Huang, Hongbo Cheng, Jin Cui Journal of System Simulation    2023, 35 (7): 1455-1471.   DOI: 10.16182/j.issn1004731x.joss.23-0057 Abstract （876）   HTML （64）    PDF（pc） （3750KB）（533）       Knowledge map    Save A key bottleneck in the large-scale application of equipment digital twin is the lack of systematic and effective credibility assessment methods. This paper analyzes the dynamic evolution, virtual-real interactivity and other key features of the equipment digital twin. A credibility assessment framework for the equipment digital twin is proposed, including the credibility connotation of the digital twin, a multi-dimensional and multi-level credibility assessment index system and a credibility assessment methodology. The whole assessment process is illustrated with the robotic arm digital twin as an example, which can provide directional guidance for the assessment and construction of the digital twin. Table and Figures | Reference | Related Articles | Metrics

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Research on Cooperative Adaptive Cruise Control Strategy Based on Improved MPC Qiming Wang, Jiangyue Jiang, Zhichao Lü, Hanzu Zhang Journal of System Simulation    2022, 34 (09): 2087-2097.   DOI: 10.16182/j.issn1004731x.joss.21-0388 Abstract （663）   HTML （24）    PDF（pc） （2115KB）（530）       Knowledge map    Save To solve the problems of environmental interference, sensor noise and poor tracking stability of time-varying speed, an improved MPC (model predictive control) algorithm based on KF (kalman filtering) is proposed. The longitudinal kinematics model of CACC(cooperative adaptive cruise control)between vehicles is established and the discrete state space equation is created. KF is used to reduce the noise of state variables, and at the same time, the prediction model is designed for robustness. The CACC control objectives are analyzed under different working conditions and the objective optimization functions are created. Verify by building Simulink and CarSim co-simulation model, the simulation results indicate that the improved MPC algorithm performs better, which improves economy of the fuel and driving comfort of vehicles, achieves stable tracking of time-varying speed. Table and Figures | Reference | Related Articles | Metrics

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Development of Vehicle Dynamics Virtual Simulation System Based on CarSim Jianlei Liu, Xuejian Jiao, Huaiqian Wang Journal of System Simulation    2022, 34 (8): 1847-1854.   DOI: 10.16182/j.issn1004731x.joss.21-0300 Abstract （649）   HTML （22）    PDF（pc） （2935KB）（524）       Knowledge map    Save Aiming at the "high cost, high consumption and high risk" of real vehicle test, a virtual simulation system of vehicle dynamics based on CarSim is developed. The real-time vehicle model is created by CarSim. A virtual scene is built in Unity3D, and an active stereoscopic display technology is used to realize the 3D visual effects. The driver's operation information is collected by simulating the steering wheel of Fanatec racing car and LabView, and the vehicle dynamics model is solved in NI-Pxie8840 controller to ensure the real-time operation. The calculated data is fed back to the driver through the six-degree-of-freedom motion platform. The results show that the virtual vehicle can follow the driver's intention, and the system has sensitive response, safe operating environment, better immersive feeling, accurate and reliable test data, which is conducive to the design and development of automobiles. Table and Figures | Reference | Related Articles | Metrics

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Reinforcement-learning-based Adaptive Tracking Control for a Space Continuum Robot Based on Reinforcement Learning Da Jiang, Zhiqin Cai, Zhongzhen Liu, Haijun Peng, Zhigang Wu Journal of System Simulation    2022, 34 (10): 2264-2271.   DOI: 10.16182/j.issn1004731x.joss.21-0632 Abstract （384）   HTML （24）    PDF（pc） （1647KB）（515）       Knowledge map    Save Aiming at the tracking control for three-arm space continuum robot in space active debris removal manipulation, an adaptive sliding mode control algorithm based on deep reinforcement learning is proposed. Through BP network, a data-driven dynamic model is developed as the predictive model to guide the reinforcement learning to adjust the sliding mode controller's parameters online, and finally realize a real-time tracking control. Simulation results show that the proposed data-driven predictive model can accurately predict the robot's dynamic characteristics with the relative error within \pm \mathrm{1}\mathrm{\%} to random trajectories. Compared with the fixed-parameter sliding mode controller, the proposed adaptive controller has a lower overshoot and shorter settling time and can achieve a better tracking performance. Table and Figures | Reference | Related Articles | Metrics

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OPNET Based Simulation of Hybrid TDMA Protocol for Helicopters Datalink Yanfang Fu, Nan Zhang, Jianing Wei, Shaochun Qu, Ying Lu, Chang Liu Journal of System Simulation    2022, 34 (9): 1933-1940.   DOI: 10.16182/j.issn1004731x.joss.21-0449 Abstract （1967）   HTML （161）    PDF（pc） （657KB）（509）       Knowledge map    Save For the current time slot allocation problem of the data link, an improved hybrid time slot allocation protocol based on grey relational analysis is proposed and implemented. Through the aggregation of throughput, delay and load of current message buffer by grey relational analysis, the comprehensive evaluation index is obtained, and the time slot is allocated dynamically. The fixed time slot allocation is also adopted to ensure that at least one time slot is available for nodes in the network.Simulation results show that compared with the fixed TDMA(time division multiple access) protocol and the P-TDMA(priority-TDMA) protocol, the proposed protocol not only reduces contention conflicts, but also guarantees a lower delay, a relatively high throughput and a high time slot utilization rate. Table and Figures | Reference | Related Articles | Metrics

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Application of Improved Q Learning Algorithm in Job Shop Scheduling Problem Yejian Zhao, Yanhong Wang, Jun Zhang, Hongxia Yu, Zhongda Tian Journal of System Simulation    2022, 34 (6): 1247-1258.   DOI: 10.16182/j.issn1004731x.joss.21-0099 Abstract （597）   HTML （30）    PDF（pc） （1235KB）（509）       Knowledge map    Save Aiming at the job shop scheduling in a dynamic environment, a dynamic scheduling algorithm based on an improved Q learning algorithm and dispatching rules is proposed. The state space of the dynamic scheduling algorithm is described with the concept of "the urgency of remaining tasks" and a reward function with the purpose of "the higher the slack, the higher the penalty" is disigned. In view of the problem that the greedy strategy will select the sub-optimal actions in the later stage of learning, the traditional Q learning algorithm is improved by introducing an action selection strategy based on the "softmax" function, which makes the improved Q learning algorithm more equal in the probability of selecting different actions in the early stage. The simulation results obtained from 6 different test instances show that the performance indicator of the scheduling algorithm is improved by an average of about 6.5% compared to the before and by about 38.3% and 38.9% respectively compared with the IPSO algorithm and PSO algorithm. The indicator is significantly better than conventional methods such as using a single dispatching rule and traditional optimization algorithms. Table and Figures | Reference | Related Articles | Metrics

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Research on Dynamic Simulation Technology for Satellite Internet Xiaofeng Wang, Taiqian Shen, Yuan Liu Journal of System Simulation    2023, 35 (7): 1472-1486.   DOI: 10.16182/j.issn1004731x.joss.22-0333 Abstract （653）   HTML （57）    PDF（pc） （3664KB）（505）       Knowledge map    Save Network simulation is an important support for new technology verification and security technology evaluation in the rolling construction of satellite internet. A dynamic simulation architecture which based on cloud platform is proposed to address the highly time-varying characteristics of satellite internet. An algorithm of distributed simulation technology of satellite links, which improves the synchronization of accuracy of dynamic simulation of links, is designed to tackle the time-varying of satellite links. Aiming at the topology changes in the process of satellites motion, an algorithm of real-time topology simulation based on time splice is raised, which realizes real-time and accurate changes of simulation topology. In order to reconstruct simulation topology in time, a dynamic simulation technology of satellite links is put forward which can simulate unexpected topology caused by Human in loop operation. Experimental data show that compared with the traditional method, the proposed method improves the synchronization accuracy of link dynamic simulation about 96%. The topology change scene caused by satellites motion can be simulated in real time and accurately. For the topology change scene caused by Human in loop operation, it can complete the real-time reconstruction of the topology. Table and Figures | Reference | Related Articles | Metrics

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A Precise Attention Tracking System Based on Computer Vision Liu Jiyuan, Qi Hanwen, Liu Zhicheng, Fei Minrui, Zhang Kun Journal of System Simulation    2023, 35 (10): 2087-2100.   DOI: 10.16182/j.issn1004731x.joss.23-FZ0829 Abstract （621）   HTML （380）    PDF（pc） （3779KB）（504）       Knowledge map    Save A precise attention tracking system based on machine vision is designed to address the difficulty in studying students' attention allocation. The system includes an image capture device and an accurate attention tracking algorithm. The image capture device can capture the clearer ocular images. The pupil center localization algorithm replaces VGG16 with lightweight MobileNetv3 and uses two-stage feature fusion and center keypoint prediction techniques to improve the speed and accuracy. The algorithm achieves a speed of up to 36 frames/s and 97.42% accuracy. The gaze tracking algorithm compensates for the head movements to achieve the meticulous gaze tracking. An interactive software for assessing cognitive abilities in school-age children is developed. The software calculates the eye movement indicators by using the collected gaze coordinates and evaluates the cognitive abilities based on psychological theory, and provides a reference for the psychology and education research. Table and Figures | Reference | Related Articles | Metrics

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Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization Tanaka Satoshi Journal of System Simulation    2023, 35 (8): 1635-1650.   DOI: 10.16182/j.issn1004731x.joss.23-0480 Abstract （979）   HTML （396）    PDF（pc） （7522KB）（497）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Improved Object Detection of YOLOv4 in Foggy Conditions Shugang Liu, Linkun Zhang, Haodong Du, Hongtao Wang Journal of System Simulation    2023, 35 (8): 1681-1691.   DOI: 10.16182/j.issn1004731x.joss.22-0423 Abstract （289）   HTML （30）    PDF（pc） （3526KB）（493）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Simulation of Real-Time Path Planning and Formation Control for Unmanned Surface Vessel Dalei Song, Wenhao Gan, Yingzhi Xu, Xiuqing Qu, Jiangli Cao Journal of System Simulation    2023, 35 (5): 957-970.   DOI: 10.16182/j.issn1004731x.joss.22-0002 Abstract （655）   HTML （41）    PDF（pc） （6598KB）（489）       Knowledge map    Save Safety and collision-free navigation are the basis of normal navigation of an unmanned surface vessel. The high-fidelity virtual ocean is constructed by using Unity3D.On the basis of the vessel modeling, a real-time path planning and formation control method for unknown complex environments is proposed. Firstly, the local environment information is obtained by the laser sensor. Then the real-time local path planning is completed by combining A-star and route-thinning methods under the replanning strategy. In addition, formation control is carried out based on the leader-follower strategy and consistency method, and the artificial potential field is used to complete the navigation task of the unmanned surface vessel in terms ofobstacle avoidance. The simulation experiments on various complex scenarios show that the system has excellent authenticity and visual effects and provides an effective means for simulating vessel navigation. At the same time, based on the proposed algorithm, the vessel fleet can arrive at the preset waypoints successively and independently change the formation to avoid obstacles in real-time, which has certain theoretical significance and practicability in engineering applications. Table and Figures | Reference | Related Articles | Metrics

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Simulation Research on Aerodynamic Characteristics of a Miniature Munition Haisen Wang, Junfang Fan Journal of System Simulation    2022, 34 (10): 2272-2278.   DOI: 10.16182/j.issn1004731x.joss.21-0510 Abstract （254）   HTML （13）    PDF（pc） （2045KB）（487）       Knowledge map    Save Aiming at the existing constraints of layout design of miniature munition, a new layout optimization scheme is proposed. Based on the normal layout structure, a three-dimensional aerodynamic model of munition is established, and the aerodynamic hydrodynamics simulation of miniature munition is carried out, and the influence of wing size on static stability of munition is studied. To verify the feasibility of the design scheme, the aerodynamic simulation calculation is carried out, and the lift, drag and pitching moment parameters of miniature munition are obtained through simulated aerodynamic calculation under different flight conditions, and the lift-drag ratio and available overload are calculated. The simulation results show that the proposed aerodynamic layout scheme of miniature munition can meet the design requirements, and has good aerodynamic characteristics and flight stability, which can be a reference to the subsequent design. Table and Figures | Reference | Related Articles | Metrics

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Simulation of Unmanned Tank Clusters Cooperative Combat Based on Military Rules Chunyan Wang, Hao Ren, Minchi Kuang, Danfeng Wu, Xiangshu Cao, Heng Shi Journal of System Simulation    2022, 34 (8): 1691-1696.   DOI: 10.16182/j.issn1004731x.joss.21-0241 Abstract （1870）   HTML （142）    PDF（pc） （1396KB）（481）       Knowledge map    Save Modern warfare is developing towards the unmanned, informatized, and intelligent form. Being the important combat equipment in the future land warfare, unmanned tanks have greater advantages of mobility, safety, and economy. Single unmanned tank can not fulfill the complex tasks of large-scale battles as the cooperation of unmanned tank clusters can do. Focuses on the collaborative applications of unmanned tank clusters, the single unmanned tank system model is established, including dynamic control, decision-making, and weapon armor. A collaborative perception model of unmanned tank clusters is designed considering the unmanned tank's own state and the fusion situation. Based on the military rules such as target allocation, enemy avoidance, and formation self-repair, a novel collaborative combat model of unmanned tank clusters is proposed. A simulation system is built to verify the algorithms which demonstrate the feasibility and effectiveness of the proposed collaborative combat model. Table and Figures | Reference | Related Articles | Metrics