Most Download

Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month| Most Downloaded in Recent Year|

Most Downloaded in Recent Month

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Overview of Digital Twins Application and safe Development Li Xin, Liu Xiu, Wan Xinxin Journal of System Simulation    2019, 31 (3): 385-392.   DOI: 10.16182/j.issn1004731x.joss.19-0025 Abstract （2007）      PDF（pc） （1144KB）（8410）       Knowledge map    Save The Digital Twins simulate the whole process of the manufacture, and promote the development of smart manufacturing and other fields. In view of the rapid development and application of Digital Twins, the concept and history of Digital Twins are outlined, and its related technology system is given. The main application and development trend of Digital Twins in intelligent manufacturing as while as the main characters of Digital Twins in smart cities are combed. The cyber security problem of Digital Twins is discussed for intelligent manufacturing and smart cities. The scheme and suggestion are given for ensuring the cyber security of Digital Twins. Reference | Related Articles | Metrics

Select

Brief Review on Applying Reinforcement Learning to Job Shop Scheduling Problems Wang Xiaohan, Zhang Lin, Ren Lei, Xie Kunyu, Wang Kunyu, Ye Fei, Chen Zhen Journal of System Simulation    2021, 33 (12): 2782-2791.   DOI: 10.16182/j.issn1004731x.joss.21-FZ0774 Abstract （4338）      PDF（pc） （478KB）（4840）       Knowledge map    Save Reinforcement Learning (RL) achieves lower time response and better model generalization in Job Shop Scheduling Problem (JSSP). To explain the current overall research status of JSSP based on RL, summarize the current scheduling framework based on RL, and lay the foundation for follow-up research, the backgrounds of JSSP and RL are introduced. Two simulation techniques commonly used in JSSP are analyzed and two commonly used frameworks for RL to solve JSSP are given. In addition, some existing challenges are pointed out, and related research progress is introduced from three aspects: direct scheduling, feature representation-based scheduling, and parameter search-based scheduling. Reference | Related Articles | Metrics

Select

Wargaming Eco-system for Intelligence Growing Wu Lin, Hu Xiaofeng, Tao Jiuyang, He Xiaoyuan Journal of System Simulation    2021, 33 (9): 2048-2058.   DOI: 10.16182/j.issn1004731x.joss.21-0730 Abstract （2400）      PDF（pc） （5187KB）（2215）       Knowledge map    Save The construction of the next generation intelligent wargaming system can not be accomplished at one move, but through building an ecosystem to gradually grow intelligence. The basic concepts of the intelligent wargame ecosystem, and are defined the idea of dynamic openness, diversified levels and co-evolution are proposed. Drawing lessons from the human intelligence growing process and learning-evolution mechanism, the double helix model of the next generation of wargame cognitive intelligent evolution and growth is constructed. On the basis of the OLTA cycle, the wargame deduction ecosystem system framework is given. The application of the technologies, such as digital twins, human-machine integration and symbiosis, sample generation, intelligence testing and evaluation, cloud native and so on, in the construction of an ecological environment for wargaming games are analyzed. Reference | Related Articles | Metrics

Select

Research on Dynamic Scene SLAM Based on Improved Object Detection Shi Lanxi, Yan Wenxu, Ni Hongyu, Zhao Feng Journal of System Simulation    2024, 36 (4): 1028-1042.   DOI: 10.16182/j.issn1004731x.joss.22-1332 Abstract （48）   HTML （5）    PDF（pc） （3767KB）（122）       Knowledge map    Save Aiming at the epipolar constraint matching problem of monocular SLAM in dynamic scenes adynamic feature point selection method based on object detection is proposed, in which the dynamic feature points in the front-end image frame of SLAM system is eliminated during feature extraction to improve the localization accuracy of SLAM. An improved target detection network is proposed to construct a loss function to describe the bounding box by using the overlap area, distance similarity and cosine similarity, which can achieve the accurate localization of target objects and obtain the range of object feature points in the current image frame. The object category is judged in SLAM, and the dynamic feature points in the front-end image frame are rejected according to the target detection result for the objects marked as dynamic. Based on the static feature point results, the epipolar geometry is used for the feature matching between two frames to estimate pose the to carry out the tracking, map building and closed-loop detection of monocular camera motion. The speed of the inference process is improved by the structural reparameterization of the backbone of target detection network to ensure the real-time operation of the overall system. Experimental results on KITTI dataset show that the improved system improves the localization accuracy by 23.4% over ORB-SLAM3 system, and the frame rate can reach more than 30fps. The algorithm can effectively improve the localization accuracy of monocular SLAM system in dynamic scenes under the condition of ensuring the real-time operation. Table and Figures | Reference | Related Articles | Metrics

Select

ASL-CatBoost Method for Wind Turbine Fault Detection Integrated with Digital Twin Liang Hongtao, Kong Lingchao, Liu Guozhu, Dong Wenxuan, Liu Xiangyi Journal of System Simulation    2024, 36 (4): 873-887.   DOI: 10.16182/j.issn1004731x.joss.22-1353 Abstract （44）   HTML （5）    PDF（pc） （4036KB）（119）       Knowledge map    Save In view of the low visibility of the current wind farm status monitoring and insufficient real-time operation and maintenance, based on the concept of digital twin five-dimensional model, the framework of wind farm digital twin five-dimensional model is constructed. Aiming at the insufficient fault detection capability of traditional algorithms and unbalanced positive and negative samples in fan fault data set, the improved ASL-CatBoost algorithm is proposed to achieve the accurate detection of fan fault status. Based on the digital twinning platform, combined with MATLAB/Simulink, the simulation mathematical model of doubly-fed wind turbine under the condition of blade mass imbalance is established, and the auxiliary fault detection algorithm is used to simulate the data of wind turbine fault conditions caused by different reasons under various wind speeds and temperatures to train and enhance the generalization ability of the algorithm. A case of the integrated platform of wind farm digital twinning operation, maintenance and control is designed. Driven by real-time data, the real-time monitoring and accurate control of wind turbine operation status is realized, and the feasibility of the proposed framework and improved algorithm is verified. Table and Figures | Reference | Related Articles | Metrics

Select

Discussing Digital Twin from of Modeling and Simulation Zhang Lin, Lu Han Journal of System Simulation    2021, 33 (5): 995-1007.   DOI: 10.16182/j.issn1004731x.joss.21-0262 Abstract （3429）      PDF（pc） （1857KB）（2131）       Knowledge map    Save The development and evolution of modeling and simulation technology, and its importance in scientific and technological progress are briefly reviewed. The intrinsic relation between digital twin and modeling and simulation is revealed by analyzing the background and concept of digital twin. The way to build and evaluate a digital twin based on modeling and simulation theoretical methods is discussed. to ensure the credibility. Reference | Related Articles | Metrics

Select

Study on the Scale Characteristics of Permeability of TPMS Porous Materials Tong Wu, Qinghui Wang, Zhijia Xu Journal of System Simulation    2022, 34 (5): 1015-1024.   DOI: 10.16182/j.issn1004731x.joss.20-0966 Abstract （1722）   HTML （102）    PDF（pc） （2138KB）（1004）       Knowledge map    Save Triply Periodic Minimal Surface (TPMS) has been widely used in the design of porous materials, however, there is insufficient research on the scale characteristics of permeability. Four commonly used TPMS units are chosen as the research object, based on the introduction of their mathematical models and porosity control methods, a numerical simulation model based on CFD (computational fluid dynamics) is established; TPMS units and cubic porous structures with different porosities are analyzed, the quantitative correlation between their scales and permeability is clarified, i.e., within the selected scale range, the permeability of various TPMS units and cubic porous structures is the quadratic function of scaled. For the design of the permeability of TPMS porous materials, the research results can provide simulation method to support the selection of TPMS unit type and size. Table and Figures | Reference | Related Articles | Metrics

Select

Traffic Flow Prediction Based on Deep Learning Liu Mingyu, Wu Jianping, Wang Yubo, He Lei Journal of System Simulation    2018, 30 (11): 4100-4106.   DOI: 10.16182/j.issn1004731x.joss.201811007 Abstract （884）      PDF（pc） （448KB）（1409）       Knowledge map    Save Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models. Reference | Related Articles | Metrics

Select

Design and Engine Implementation of Submarine Combat System Simulation Based on LVC Wu Jinping, Lu Minghua, Xue Changyou Journal of System Simulation    2021, 33 (7): 1647-1653.   DOI: 10.16182/j.issn1004731x.joss.20-0231 Abstract （999）      PDF（pc） （349KB）（1273）       Knowledge map    Save Submarine combat system simulation is one of the key and most important content in submarine combat simulation. On the basis of LVC simulation technology, practicing simulation-as-a-service idea, the LVC integration simulation method of submarine combat system is proposed and the LVC integration simulation environment is constructed. The composition and relationship of LVC simulation system are researched. The compositional structure of LVC simulation engine was designed. Based on the component design and development specifications in Java/EJB technological infrastructure, in use of software component technology, the simulation engine components are designed and implemented. The LVC integration simulation of submarine combat system integrates the advantage of three simulation styles, achieves the plug-and-play simulation environment and the better efficiency-cost ratio resource allocation. The application range of submarine combat system simulation is obviously expanded. Reference | Related Articles | Metrics

Select

Measurement Error Correction Model of ToF Depth Camera Wang Le, Luo Yu, Wang Haikuan, Fei Minru Journal of System Simulation    2017, 29 (10): 2323-2329.   DOI: 10.16182/j.issn1004731x.joss.201710013 Abstract （477）      PDF（pc） （751KB）（1493）       Knowledge map    Save 3D data intuitively reflects the full view of the target or scene. Time of Flight (ToF) camera is a range imaging sensor that can provide 3D geometric information of targets immediately, thus it is widely applied in the robot positioning and navigation, 3D reconstruction and other aspects etc. Due to the operational principle of the camera itself, there are variety measurement errors of the source data obtained by ToF, resulting in image distortion. The measurement errors in the imaging process of ToF camera were analyzed and summarized, and the cubic spline interpolation method combined with look-up table was proposed to segment the compensation of the nonlinear depth offset to realize the adaptive error compensation process. A data correction model based on the pinhole model was proposed to tackle the data errors appeared during the process of coordinate transformation from Spherical Coordinate System to Cartesian Coordinate System, to restore the real scene more accurately. Experiment results show that the corrected depth data error and offset are effectively improved. Reference | Related Articles | Metrics

Select

Review on the Construction and Application of Digital Twins in Transportation Scenes Wu Zhaohui, Liu Zhenzheng, Shi Ke, Wang Liang, Liang Xiaojie Journal of System Simulation    2021, 33 (2): 295-305.   DOI: 10.16182/j.issn1004731x.joss.20-0754 Abstract （2214）      PDF（pc） （4779KB）（3069）       Knowledge map    Save Digital twins connect the physical world and the information world, and provide new ideas for the analysis and solution of complex traffic problems. The research and application status of digital twins in transportation scenes are reviewed on the basis of sorting out the basic concepts, development history and key technologies of digital twins. The key technologies for the construction of digital twins in transportation scenes that need to be breakthrough are analyzed from the four aspects of "people-vehicle-road-environment" combined with the characteristics of the elements of traffic operation. The prospect of digital twin transportation applications in the development of vehicles, intelligent operation and maintenance of important infrastructure, unmanned virtual testing, analysis and experiments of traffic problems are expected. Reference | Related Articles | Metrics

Select

Research on Cross-domain Unmanned Swarm Cooperative Anti-submarine Search Method Wang Ning, Liang Xiaolong, Zhang Jiaqiang, Hou Yueqi, Yang Aiwu Journal of System Simulation    2024, 36 (4): 817-824.   DOI: 10.16182/j.issn1004731x.joss.23-0073 Abstract （50）   HTML （5）    PDF（pc） （2378KB）（89）       Knowledge map    Save For the maritime ASW search, a cross-domain unmanned swarm cooperative search method is proposed in which USVs are used as the communication relay of UAVs. The digital grid map is used to characterize the mission area and the kinematic model of cross-domain platform is constructed. The cooperative method of cross-domain unmanned systems is proposed, and the distributed information fusion mechanism of unmanned systems is designed. The search objective function for heterogeneous platforms is designed to guide the unmanned systems to make real-time decisions in search task. The simulation results show that the proposed method can be effective to the proposed cross-domain unmanned swarm ASW search mission scenario, and by complementing each other, the search effectiveness of the cross-domain platforms can be improved. Table and Figures | Reference | Related Articles | Metrics

Select

A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization Wang Ling, Wu Chuge, Fan Wenhui Journal of System Simulation    2021, 33 (3): 509-520.   DOI: 10.16182/j.issn1004731x.joss.20-0584 Abstract （4156）      PDF（pc） （3039KB）（3398）       Knowledge map    Save With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as well as the requirements of performance, energy consumption, cost and stability and introduces the system models of edge computing, IoT and cloud computing, presents the optimization metrics, scheduling models and solution optimization, including exact algorithms, heuristic methods and intelligent optimization algorithms. In addition, typical application cases, and points out the further research contents and directions are provided to promote the development of edge computing. Reference | Related Articles | Metrics

Select

Challenges and Reflection on Next-generation Large-scale Computer Wargame System Si Guangya, Wang Yanzheng Journal of System Simulation    2021, 33 (9): 2010-2016.   DOI: 10.16182/j.issn1004731x.joss.21-0729 Abstract （2409）      PDF（pc） （843KB）（1555）       Knowledge map    Save In view of the systematic, networked and intelligent characteristics of the future war, the major challenges of the new generation of large computer warfare system are proposed, and the next-generation large-scale computer wargame system is constructed. The key technologies of building a new generation of large computer warfare systems, such as intelligent war modeling, architecture integration, resource service management and human-computer interaction are researched. Reference | Related Articles | Metrics

Select

Modeling and Quaternion Control of X-Type Quadrotor Ding Shaobin, Xiao Changshi, Liu Jingen, Wen Yuanqiao Journal of System Simulation    2015, 27 (12): 3057-3062.   Abstract （798）      PDF（pc） （625KB）（2565）       Knowledge map    Save A comprehensive dynamic model of X-type quadrotor was established and simulated. Different from other widely used models that usually treated quadrotor as a single-rigid-body system, the rotors, propellers and the aircraft body were treated as a multi-rigid-body system in the proposed model. The 3D model wireframe was constructed using Solidworks and the important inertial parameters were extracted from the design data. Two types of multi-channel-double-loop vector PD flight controller were designed and fine tuned, one was based on quaternion feedback and the other was based on Euler angle feedback. The close-loop systems were simulated on Matlab/Simulink. The simulation results show that both systems achieve stable control of aircraft position and pose, however, quaternion feedback based controller shows shorter transition time, less computation and no singularity point compared to Euler angle feedback based controller. Reference | Related Articles | Metrics Cited: Baidu(5)

Select

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

Select

Research Progress on Weapon and Equipment Effectiveness Evaluation Zhou Yuchen, Lin Shengling, Ma Ping, Li Wei, Yang Ming Journal of System Simulation    2020, 32 (8): 1413-1424.   DOI: 10.16182/j.issn1004731x.joss.20-0442 Abstract （1325）      PDF（pc） （933KB）（2278）       Knowledge map    Save Effectiveness is an important indicator to evaluate the weapon and equipment, and can support the decision-making of the weapon and equipment planning, scheme examination, design, development and operational application, et al. With the application of digital thread and digital twin in the life cycle of weapon and equipment, effectiveness evaluation faces a series of challenges, including the complex operational scenario, complicated data scene, expensive simulation, pervasive and agile evaluation, et al. The related concepts of weapon and equipment effectiveness and the development process of effectiveness evaluation are summarized. The problems of effectiveness evaluation are discussed. The solutions for the effectiveness evaluation of weapon and equipment are provided. The digital era research direction in the future is forecasted and summarized. Reference | Related Articles | Metrics

Select

Modeling and Simulation of Electric Vehicle Industry Development Based on System Dynamics Fu Yueqiang, Xia Tiantian Journal of System Simulation    2021, 33 (4): 973-981.   DOI: 10.16182/j.issn1004731x.joss.19-0648 Abstract （699）      PDF（pc） （802KB）（1119）       Knowledge map    Save New energy electric vehicle are the main trend of automobile industry upgrading. It plays an important role in ensuring the energy security and improving the ecological environment. It is of theoretical and practical significance to carry out research on the development of new energy electric vehicles. The affecting factors are systematically analyzed, the causal relationship model and stock flow model are established, and the dynamic equation of the model are determined and the parameter assignments are made. The model is verified and the system simulation and analysis are performed. The development trend and main influencing factors of new energy electric vehicles are explored. The countermeasures for the development of electric vehicle industry are put forward from the aspects of government subsidies, key technological breakthroughs, charging and replacement infrastructure construction, and consumer market cultivation. Reference | Related Articles | Metrics

Select

Intelligent Wargaming System: Change Needed by Next Generation Need to be Changed Hu Xiaofeng, Qi Dawei Journal of System Simulation    2021, 33 (9): 1997-2009.   DOI: 10.16182/j.issn1004731x.joss.21-0728 Abstract （3882）      PDF（pc） （1665KB）（4009）       Knowledge map    Save The future direction of wargaming system is intelligent, and the most significant feature of intelligence is the modeling of cognition. The main problems of wargaming system are summarized, the main difficulties of modeling brought by cognition and the overall framework of intelligent wargaming system design are discussed, the technical ways of transformation and upgrading based on the existing wargaming system are given from four aspects of model construction, system design, wargaming ecology and test inspection. It provides direction and reference to the development and construction of the next generation intelligent wargaming system. Reference | Related Articles | Metrics

Select

Simulation Verification and Decision-making Key Technologies of Unmanned Swarm Game Confrontation: A Survey Liang Xiaolong, Yang Aiwu, Zhang Jiaqiang, Hou Yueqi, Wang Ning, Huang Xiao, Gong Junbin Journal of System Simulation    2024, 36 (4): 805-816.   DOI: 10.16182/j.issn1004731x.joss.23-0072 Abstract （62）   HTML （11）    PDF（pc） （3089KB）（77）       Knowledge map    Save Unmanned swarm game confrontation is a new combat mode and plays a crucial role in intelligent warfare. Its core is the autonomous generation of a series of game confrontation decision sequences to "empower" the swarm. The progress of system simulation verification for the unmanned swarm game confrontation is analyzed. The key technologies of the autonomous decision-making are discussed from three aspects, technology based on expert systems and game theory, technology based on swarm intelligence and optimization theory, and technology based on neural networks and reinforcement learning. The key technology research conducted by the author's team on the autonomous decision-making is presented. The development directions of the unmanned swarm game confrontation are proposed. Table and Figures | Reference | Related Articles | Metrics

Select

Research and Implementation of a High Performance Distributed Object-oriented Simulation Engine Huang Xiaodong, Xie Kongshu Journal of System Simulation    2021, 33 (9): 2215-2226.   DOI: 10.16182/j.issn1004731x.joss.21-0228 Abstract （1447）      PDF（pc） （967KB）（1577）       Knowledge map    Save Simulation engine is the core of simulation platform and the operating system of simulation field. On the basis of the reflection-based object-oriented simulation modeling framework and programing specification, aiming at the developing integration and operation requirements for the large-scale multi-granularity computation intensive simulation system, a High-performance Distributed Object-oriented Simulation Engine (HDOSE) is developed. Combined with the brief review of HDOSE development, on the basis of expounding the HDOSE function services and architecture, the key technology, large-scale multi-granularity parallel computation, programming model and interface, parameterized componentized modeling and so on are mainly introduced. The HDOSE typical application cases and performance test cases are provided. The application results show that HDOSE has good performance and extendibility, and can rapidly help to construct the computation and interaction intensive complex application systems. Reference | Related Articles | Metrics

Select

Survey of Studies on Numerical Simulations of Optical-Wave Propagation in Atmospheric Turbulence Ren Bin, Chen Chunyi, Yang Huamin Journal of System Simulation    2017, 29 (8): 1631-1640.   DOI: 10.16182/j.issn1004731x.joss.201708001 Abstract （310）      PDF（pc） （478KB）（1003）       Knowledge map    Save The complicated random behavior of atmospheric turbulence makes it difficult to verify the theories of optical-wave propagation in atmospheric turbulence by conducting experimental measurements. The parameters used in numerical simulations can be easily controlled; therefore numerical simulations have been used as another important tool to investigate the optical-wave propagation in atmospheric turbulence. Based on the existing literature, both the theoretical models and numerical generating methods for random phase screens of atmospheric turbulence are surveyed, and the spatial sampling constraints for numerical simulations of optical propagation in atmospheric turbulence were summarized. By comprehending the existing results, it has been pointed out that, on the one hand, more studies on numerical generating methods for random phase screens of anisotropic turbulence and numerical simulations of optical-pulse propagation in atmospheric turbulence are needed to be done; on the other hand, the application of massively parallel computing hardware to accelerate numerical simulations of optical-wave propagation in atmospheric turbulence deserves much attention in the near future. Reference | Related Articles | Metrics

Select

Analysis and Optimization of the Action Chain Mechanism in Agent2D Underlying in RoboCup2D Soccer League Chen Bing, Xu Feifan, Xu Hanyan, Cheng Zekai, Liu Cheng Journal of System Simulation    2017, 29 (11): 2782-2787.   DOI: 10.16182/j.issn1004731x.joss.201711026 Abstract （419）      PDF（pc） （282KB）（674）       Knowledge map    Save In the RoboCup2D soccer league, Agent2D is one of the most widely used underlying team in China. Data transmission noise and the incomplete action chain mechanism make the underlying teams using Agent2D be lack of flexibility. This paper introduces an action correcting parameter and optimizes the operation of the action chain by reinforcement learning mechanism. The performance of the Agent2D underlying team is improved in the game and the adaptability of the team is enhanced. Simulation experiment results show that this method has a certain effect. Reference | Related Articles | Metrics

Select

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）（817）       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

Select

Dynamic Digital Twin Modelling and Semi-Physical Simulation of Wind Turbine Operation Hu Yang, Wang Weiran, Fang Fang, Song Ziqiu, Xu Yuhan, Liu Jizhen Journal of System Simulation    2024, 36 (3): 636-648.   DOI: 10.16182/j.issn1004731x.joss.22-1307 Abstract （130）   HTML （8）    PDF（pc） （5402KB）（151）       Knowledge map    Save For the accurate mapping and real-time simulation requirements proposed by digital twin technology, a multi-input multi-output (MIMO) finite difference domain-hybrid semi-mechanical (FDD-HSM) digital twin modeling method is proposed, and a semi-physical simulation system of wind turbine digital twin with physical controller is established for the complex nonlinear operation characteristics of large wind turbines. The integrated dynamic MIMO-FDD-HSM model structure is constructed. Finite difference regression vectors are defined to characterize the operating conditions of the wind turbine, and finite difference space tight convex partitioning, parametric model identification, and non-parametric model training are completed under full operating conditions. The wind turbine digital twin simulation system is built in conjunction with the physical controller to carry out real-time hardware-in-the-loop simulation. The results show that the simulation system has high accuracy and real-time approximation capability. Table and Figures | Reference | Related Articles | Metrics

Select

A Distributed Simulation System for Space Operation Missions Liu Yunzhao, Wang Mingming, Li Jintao, Liu Chuankai, Luo Jianjun Journal of System Simulation    2024, 36 (3): 533-544.   DOI: 10.16182/j.issn1004731x.joss.22-1260 Abstract （210）   HTML （29）    PDF（pc） （5743KB）（176）       Knowledge map    Save For the ground verification requirements of complex space operation missions such as non-cooperative target capture, on-orbit maintenance, and in-space assembly, a distributed simulation system is developed, which mainly consists of a back-end simulation model, a front-end visual demonstration system, and a front-end main controller. In order to realize the multidisciplinary model coupling and interaction among different modeling tools or programming languages, the functional mock-up interface (FMI) standard is introduced for system integration, improving the modularity, generality, and portability of the system. To fully utilize computing resources and improve the simulation efficiency, simulation subsystems and modules are deployed in a distributed manner, and the data distribution service (DDS) communication mechanism is used to achieve efficient and reliable data interaction. A demonstration case of a dual-armed space robot capturing a non-cooperative target shows that the simulation system can simulate the whole process from long-range guidance to close operation in real time, with high fidelity. Table and Figures | Reference | Related Articles | Metrics

Select

Research on Description Specification of Extensible Simulation Scenario Xu Xiangzhong, Xiong Jun, Shen Fengwei Journal of System Simulation    2021, 33 (6): 1241-1247.   DOI: 10.16182/j.issn1004731x.joss.21-0389 Abstract （693）      PDF（pc） （433KB）（1097）       Knowledge map    Save Simulation scenario description specification is of great significance to speed the Simulation Scenario Data (SSD) preparation, to improve the quality and to promote the reuse of the SSD. An in-depth comparison between simulation scenario and military scenario is made. The composition and application process of military scenario based on the description specification are designed, above which, the design scheme of the description specification is discussed. The extensible military scenario description specification is proposed from the following two aspects, that is, the basic elements including time and coordinate system, and the data interchange format. Series of scenario instances are produced. Research results are helpful to enhance the consistency of initial boundary conditions for the interconnect of various simulation training centers and to promote the reuse of the SSD. Reference | Related Articles | Metrics

Select

Abroad Wargaming Deduction and System Research Cao Zhanguang, Tao Shuai, Hu Xiaofeng, He Lülong Journal of System Simulation    2021, 33 (9): 2059-2065.   DOI: 10.16182/j.issn1004731x.joss.20-0726 Abstract （3417）      PDF（pc） （191KB）（2340）       Knowledge map    Save Wargaming is an important auxiliary means of war deduction, scheme evaluation and operational analysis. Wargaming deduction system can support the research of operational problems, innovation of tactics and development of operational concepts. The development status of foreign computer wargaming system from the deduction method and system research is reviewed, and the online deduction the multi-level joint deduction, as well as the research status of multi-level wargaming fusion design, the multi system combination and auxiliary tool development are mainly introduced, which can providereference to the development and application of computer wargame system. Reference | Related Articles | Metrics

Select

From Situation Cognition Stepped into Situation Intelligent Cognition Zhu Feng, Hu Xiaofeng, Wu Lin, He Xiaoyuan, Lü Xuezhi, Liao Ying Journal of System Simulation    2018, 30 (3): 761-771.   DOI: 10.16182/j.issn1004731x.joss.201803001 Abstract （1178）      PDF（pc） （1191KB）（2277）       Knowledge map    Save Aimed at operational situation cognition and some relevant problems under the background of the Joint-Tactical, some deep researches are carried out in this paper. The concept models of combat situation cognition and situation intelligent cognition are proposed respectively, and some related concepts are clarified. The situation intelligent cognition technology framework is proposed, and five key problems which should be solved are analyzed, and the possible technical routes are given. These research contents and achievements build a foundation for stepping into the situation intelligent cognition from combat situation cognition. Reference | Related Articles | Metrics

Select

Research on Sliding Mode Control of Robotic Arm Based on Fractional Calculus Zhang Xin, Li Jiaxin Journal of System Simulation    2020, 32 (5): 911-917.   DOI: 10.16182/j.issn1004731x.joss.18-0584 Abstract （441）      PDF（pc） （812KB）（875）       Knowledge map    Save An effective fractional order sliding mode control method is proposed for the nonlinear and uncertain robotic arm system by combining the advantages of the fractional calculus theory and the sliding mode control strategy. In the design of the controller, the fractional calculus is introduced into the sliding mode control by using the fractional order reaching law and the fractional order sliding mode control law respectively, and is proved by the Lyapunov theory to ensure the stability of the system. The proposed control method is applied to a two-joint robotic arm and is verified by the MATLAB simulation software. The results show that the proposed control strategy can effectively improve the tracking speed and tracking accuracy of the joints, and the controller is of good effectiveness and strong robustness. Reference | Related Articles | Metrics

Select

Research on Theoretical Framework of Simulative Experiment Evalution for Intelligent Unmanned Swarm Cooperation Wang Jipeng, Zhang Xing, Wu Hao, Gu Yu, Yang Huijie Journal of System Simulation    2024, 36 (4): 795-804.   DOI: 10.16182/j.issn1004731x.joss.23-0070 Abstract （93）   HTML （11）    PDF（pc） （2903KB）（71）       Knowledge map    Save As a typical representative of intelligent equipment, the technology, equipment and combat applications of intelligent unmanned swarm are being promoted globally. However, the research on experimental theory of unmanned swarm lags behind the technology and equipment in general. The emergence of swarm ability and complexity of confrontation of unmanned swarm, the nonrepeatability and non-generalization of swam experiment take great challenge to the basic theory and methods of unmanned swarm. The four experimental models including intelligent technology, intelligent equipment, intelligent swarm, and intelligent sos(system of systems) experiment from the perspective of system engineering and the whole life cycle of equipment construction management are proposed. The basic theory of unmanned swarm experiment is analyzed, and the basic theoretical framework of autonomous cooperative experiment of unmanned swarm is constructed. Table and Figures | Reference | Related Articles | Metrics

Select

Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph Wang Baokui, Wu Lin, Hu Xiaofeng, He Xiaoyuan Journal of System Simulation    2019, 31 (11): 2228-2237.   DOI: 10.16182/j.issn1004731x.joss.19-FZ0304 Abstract （1087）      PDF（pc） （555KB）（2021）       Knowledge map    Save Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation knowledge. Reference | Related Articles | Metrics

Select

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

Select

Robot Path Planning by Fusing Particle Swarm Algorithm and Improved Grey Wolf Algorithm Menglong Cao, Wenbin Zhao, Zhiqiang Chen Journal of System Simulation    2023, 35 (8): 1768-1775.   DOI: 10.16182/j.issn1004731x.joss.22-0407 Abstract （218）   HTML （13）    PDF（pc） （731KB）（388）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

Select

Path Planning Rapid Algorithm Based on Modified RRT* for Unmanned Surface Vessel Jiang Zhaozhen, Wang Wenlong, Sun Wenqi Journal of System Simulation    2024, 36 (4): 888-900.   DOI: 10.16182/j.issn1004731x.joss.22-1381 Abstract （60）   HTML （5）    PDF（pc） （4112KB）（68）       Knowledge map    Save Aiming at the weak purposiveness of rapidly exploring random tree algorithm in USV path planning, a modified rapid algorithm is proposed. The artificial potential field method is improved and theforce analysis in four directions is added to comprehensively calculate the resultant force on USV. The calculation method of steering angle is redefined to avoid entering the local optimal trap and can reach the target point smoothly to obtain an initial path. The initial path is used to set the random point sampling area of rapidly exploring random tree algorithm. By reducing the probability of random points generated in worthless area during sampling, the purpose and timeliness of the algorithm are improved, and the quadratic programming path is obtained. Theredundant points of thepath planned by rapidly exploring random tree algorithm is removed, in which the path cost can be further reduced while the path nodes are reduced, and the final planned path is obtained. Experimental results show that, compared with the original rapidly exploring random tree algorithm, the modified algorithm can lower the running time and the number of sampling nodes by 84.14% and 70.09%, respectively, when obtaining a path with a similar cost. The proposed algorithm has better quality and higher running efficiency. Table and Figures | Reference | Related Articles | Metrics

Select

Track Planning for Unmanned Aerial Vehicles Based on Wolf Pack Algorithm Liu Yonglan, Li Weimin, Wu Husheng, Song Wenjing Journal of System Simulation    2015, 27 (8): 1838-1843.   Abstract （340）      PDF（pc） （464KB）（964）       Knowledge map    Save Along with the diversification of missions that unmanned aerial vehicles (UAV) can carry out, track planning becomes basic precondition of UAV fulfilling missions successfully. Aiming to these, a method of track planning based on Wolf Pack Algorithm (WPA) was proposed. The method of equivalent terrain simulation was used to make enemy's threatens and terrain obstacles equal to peaks, thus the scene of track planning of UAV was built. Based on the scene, the WPA that extracted three intelligent behaviors including scouting, summoning and beleaguering was adopted to plan the track of UAV, whose start point and end point had been known. The track that planned out avoids obstacles safely, has short length and costs little average time. Simulation results show the validity of the method. Reference | Related Articles | Metrics Cited: Baidu(6)

Select

Review of System of Systems Combat Effectiveness Evaluation and Optimization Methods Ziwei Zhang, Qisheng Guo, Zhiming Dong, Ang Gao, Yifei Wang Journal of System Simulation    2022, 34 (2): 303-313.   DOI: 10.16182/j.issn1004731x.joss.21-0225 Abstract （1300）   HTML （51）    PDF（pc） （506KB）（1224）       Knowledge map    Save The characteristics of system-of-systems combat effectiveness evaluation and optimization are analyzed. In light of the "holism", this paper proposes an idea of dividing system of systems combat effectiveness evaluation and optimization into three stages of comprehensive evaluation, analysis, and optimization. As for the practical problems that need to be solved in the three stages, typical methods suitable for each stage are summarized.The advantages and disadvantages of different methods are then compared. In view of the practical difficulties in implementing system of systems combat effectiveness evaluation and optimization guided by the "holism", this paper puts forward the next research directions from the perspectives of the design of a comprehensive application framework, the construction of an evaluation index system, and the innovation in the experimental deduction mode to provide support for the effective implementation of system of systems combat effectiveness evaluation and optimization methods. Table and Figures | Reference | Related Articles | Metrics

Select

Three Dimension Tolerance Analysis and Optimization Based on 3DCS Meng Qiaofeng, Zhang Linxuan, Yin Linzheng, Hou Zhixia, Zou Fang Journal of System Simulation    2018, 30 (5): 1730-1738.   DOI: 10.16182/j.issn1004731x.joss.201805014 Abstract （374）      PDF（pc） （697KB）（1162）       Knowledge map    Save According to the tolerance allocation and optimization problems in engineering practice, the vector loop model is established by using the concept of vector, and the improved scheme based on the idea of "dichotomy" method is explored. Through the virtual assembly process of a certain model car, the rear cover and tail light are mounted on the white body. Based on 3DCS dimensional tolerance analysis and optimization of simulation, it is proved that the improved scheme with some advanced and practical property has great superiority compared to the original equal tolerance allocation method. It can solve the practical problems faced by enterprises in the engineering practice. Reference | Related Articles | Metrics

Select

Agent Based Modeling and Simulation Analysis of Low-Orbit Early-Warning Satellites Liu Wen, Wang Xiaolu, Wang Hongsheng, Zhang Heng, Wang Changqing Journal of System Simulation    2019, 31 (11): 2413-2421.   DOI: 10.16182/j.issn1004731x.joss.19-FZ0344 Abstract （399）      PDF（pc） （1009KB）（567）       Knowledge map    Save Low-Orbit Early-Warning Satellite has accurate midcourse ballistic missile tracking and surveillance capability. The paper takes Space Tracking and Surveillance System’s function and construction as the research subject. System model is constructed based on Agent method. The possible constellation configurations of STSS are analyzed considering the coverage performance,and the detection capability of ballistic missile target is simulated and analyzed. Simulation analysis of target detection is carried out. The result shows that STSS can effectively detect a certain number of targets, but detecting capability is affected severely by solar illumination. Reference | Related Articles | Metrics

Select

Vehicle Coordination Strategy for Semi-active Suspension Vehicles Guo Quanmin, Zhang Haowen, Wang Yan Journal of System Simulation    2020, 32 (4): 700-708.   DOI: 10.16182/j.issn1004731x.joss.18-0506 Abstract （537）      PDF（pc） （1920KB）（680）       Knowledge map    Save In order to realize the coordinated control of the vertical, pitch and roll vibration of vehicle, a coordinated control strategy of vehicle semi-active suspension is proposed. In the strategy, the fuzzy PID controllers estimate three adjustment forces according to the vibration state in vertical, pitch and roll directions. Through the designed force coordinator with the control parameters of the front and back axes and the steering control strategy, the expected adjustment forces are coordinated to the four magnetorheological dampers to output the adjustable damping forces and realize the coordinated control of the vehicle vibration in three directions. The experimental results on the continuous uneven and discrete impact road conditions show that the strategy improves the ride comfort and handling stability of vehicle, and is beneficial to the vehicle neutral steering. Reference | Related Articles | Metrics