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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 （1894）   HTML （103）    PDF（pc） （4154KB）（5667）       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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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 （1664）      PDF（pc） （933KB）（5848）       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

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Uncertainty Simulation Method Based on Deep Bayesian Networks Learning Nie Kai, Zeng Kejun, Meng Qinghai Journal of System Simulation    2022, 34 (1): 79-85.   DOI: 10.16182/j.issn1004731x.joss.20-0629 Abstract （913）      PDF（pc） （910KB）（2102）       Knowledge map    Save There are lots of uncertain elements in battlefields situation assessment and the uncertainty simulation would enhance the ability of situation assessment. A deep variational autoencoder bayesian networks (BN) model with memory module is proposed aiming at the problem of being unable to represent the uncertainties exactly caused by the various combat objects and more uncertain elements. Based on the deep BN learning, the situation assessment model is designed from the deep generative model. The principle of deep generative model mixing with the memory module is discussed and the leaning and reasoning process of the model is explained. The proposed model is verified by an air strike BN construction example. The results show that the deep neural networks can approximate to the nonlinear transform of the latent variables and the designed outside memory module can store lots of local features extracted by the neural networks. The BN conditional probabilities are attained by the automatic learning and enhance the uncertainty simulation ability of BN. Reference | Related Articles | Metrics

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Survey of Ship Detection in Video Surveillance Based on Shallow Machine Learning Bi Zhenbo, Zhang Shiyou, Yang Hua, Wu Yuanhong Journal of System Simulation    2021, 33 (12): 2792-2807.   DOI: 10.16182/j.issn1004731x.joss.21-FZ0781 Abstract （675）      PDF（pc） （426KB）（5191）       Knowledge map    Save At present, detection of ship targets in video surveillance based on shallow machine learning methods is still attracting attention in the fields of underwater cultural heritage protection, marine aquaculture, maritime traffic, and port management. This paper provides a review and discussion for this kind of ship detection methods. The ship target detection based on video surveillance is divided into five parts according to the key technologies involved: preprocessing, region of interest extraction, target segmentation, ship feature extraction and ship type recognition. According to different functional modules, the core problems involved in them are pointed out, and the core ideas, advantages and disadvantages of representative algorithms in each kind of problems are elaborated. The existing problems and future prospects of ship detection in video surveillance based on shallow machine learning are discussed. 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 （1559）   HTML （466）    PDF（pc） （1673KB）（2602）       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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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 （751）   HTML （54）    PDF（pc） （2979KB）（2305）       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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Research and Application Progress of Tracking Registration Methods in AR Assembly Wei Fang, Shuhong Xu, Lei Han, Zhangwenchi Li Journal of System Simulation    2023, 35 (7): 1438-1454.   DOI: 10.16182/j.issn1004731x.joss.22-0335 Abstract （1129）   HTML （69）    PDF（pc） （3147KB）（1436）       Knowledge map    Save Augmented reality (AR) can superimpose virtual auxiliary information in appropriate positions at the actual work site to achieve intelligent assembly guidance of "what you see is what you operate", alleviating the difficulties for workers to recognize drawings in traditional drawing-based assembly and the problems of misassembly, missing parts and so on. Stable tracking registration in the assembly site environment is the basis for achieving the fusion of virtual and actual scene in augmented assembly visual guidance, and also a key issue in the practical application and deployment of existing augmented assembly. In view of the research and application results in tracking and registration for AR-assisted assembly in recent years at home and abroad, this paper systematically analyzes the current research status of three different augmented assembly tracking registration methods based on vision, sensors and hybrids. The limitations of existing tracking registration methods in AR augmented assembly aids and application development trends are summarized. It is meaningful to refer for the subsequent construction and research of AR intelligent assembly systems. Table and Figures | Reference | Related Articles | Metrics

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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 （491）      PDF（pc） （478KB）（2198）       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

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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 （2309）      PDF（pc） （1144KB）（11661）       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

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Image Semantic Segmentation Algorithm Based on Improved DeepLabv3+ Zhao Weiping, Chen Yu, Xiang Song, Liu Yuanqiang, Wang Chaoyue Journal of System Simulation    2023, 35 (11): 2333-2344.   DOI: 10.16182/j.issn1004731x.joss.22-0690 Abstract （877）   HTML （45）    PDF（pc） （3780KB）（1073）       Knowledge map    Save Mainstream image semantic segmentation networks currently face problems such as incorrect segmentation, discontinuous segmentation, and high model complexity, which cannot be flexibly and efficiently deployed in practical scenarios. To this end, an image semantic segmentation network that optimizes the DeepLabv3+ model is designed by comprehensively considering the network parameters, prediction time, and accuracy. The lightweight EfficientNetv2 is adopted to extract backbone network features and improve parameter utilization. In the atrous spatial pyramid pooling module, the mixed strip pooling is utilized to replace the global average pooling, and a depthwise separable dilated convolution is introduced to reduce parameters and improve the ability to learn multi-scale information. The attention mechanism is employed to enhance the model's representation power, and the multiple shallow features of the backbone network are extracted to enrich the image's geometric details. The experiment shows that the algorithm achieves 81.19% mIoU with a parameter size of 55.51×106, which optimizes the segmentation accuracy and model complexity and improves model generalization. Table and Figures | Reference | Related Articles | Metrics

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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 （4949）      PDF（pc） （478KB）（7144）       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

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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 （1535）   HTML （655）    PDF（pc） （4184KB）（3750）       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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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 （2054）   HTML （675）    PDF（pc） （3245KB）（3766）       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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AGV Scheduling Problem at Automated Terminals Based on Improved DQN Algorithm Liang Chengji, Zhang Shidong, Wang Yu, Lu Bin Journal of System Simulation    2024, 36 (11): 2592-2603.   DOI: 10.16182/j.issn1004731x.joss.23-0912 Abstract （390）   HTML （14）    PDF（pc） （3531KB）（993）       Knowledge map    Save A future tasks considering deep Q-network (F-DQN) algorithm was proposed to output real-time scheduling results of automated guided vehicles (AGVs) at automated terminals. This algorithm combined the advantages of real-time scheduling and static scheduling, improving the system status by considering static future task information when making real-time decisions, so as to obtain a better scheduling solution. In this study, the actual layout and equipment conditions of the Yangshan phase IV automated terminal were considered, and a series of simulation experiments were conducted using the Plant Simulation software. The experimental results show that the F-DQN algorithm can effectively solve the real-time scheduling problem of AGVs at automated terminals. Furthermore, the F-DQN algorithm significantly reduces the waiting time of quay cranes compared to the traditional DQN algorithm. Table and Figures | Reference | Related Articles | Metrics

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Research on Involute Helical Cylindrical Gear Transmission Error Based on ABAQUS Liu Xinrong, Wang Zhonghou, Kubo Aizoh, Zhang Kaiyuan Journal of System Simulation    2018, 30 (10): 4002-4009.   DOI: 10.16182/j.issn1004731x.joss.201810048 Abstract （430）      PDF（pc） （578KB）（2285）       Knowledge map    Save The present paper comes up with torsional vibration model of involute helical gear in order to study the transmission error of involute helical cylindrical gear. It finished the analysis about transmission error of involute helical gear both in the static and the dynamic, at the same time, it showed the laws of dynamic transmission error curve under different loads, which would be compared with the laws of static transmission error curve. The research showed that the greater the load, the larger the absolute value of transmission error, however, the peak difference of dynamic transmission error is not a linear distribution for there exists a minimum, namely, the concave distribution; The results proved that the fluctuation of the static transmission error curve is steady and smooth and dynamic transmission error curve will tend to steady state after severe fluctuating. Meanwhile, it showed the impact of damping material on dynamic transmission error: the smaller value of the material critical damping, the more unstable involute helical tooth cylindrical gear. Reference | Related Articles | Metrics

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Intelligent Technology of Command and Control System in the RTS Perspective Wu Wenfeng, Zhang Yu, Rong Ming Journal of System Simulation    2018, 30 (11): 4158-4171.   DOI: 10.16182/j.issn1004731x.joss.201811014 Abstract （376）      PDF（pc） （1572KB）（1071）       Knowledge map    Save Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is pointed out. It provides a useful reference for the development and research of intelligent technology for command and control systems. Reference | Related Articles | Metrics

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Research on Transformer Fault Diagnosis Method Based on Digital Twin Jiang Lun, Wang Dajiang, Sun Wenlei, Bao Shenghui, Liu Han, Chang Saike Journal of System Simulation    2025, 37 (3): 775-790.   DOI: 10.16182/j.issn1004731x.joss.23-1402 Abstract （113）   HTML （8）    PDF（pc） （4835KB）（308）       Knowledge map    Save Aiming at the inability of existing intelligent algorithms for transformer fault diagnosis to quickly and efficiently identify transformer faults, resulting in fault misdetection and untimely detection, this paper proposes a transformer fault diagnosis method using the improved sparrow optimization algorithm to optimize the two-layer fault diagnostic model of XGBoost combined with the digital twin technology. The method adopts advanced sensors to collect oil and gas data and temperature data of the transformer, uses 5G module to transmit the real-time data to the digital twin system. The system monitors the temperature data in real-time by setting the equipment alarm threshold; optimizes the two-layer fault diagnostic model of XGBoost using the improved sparrow optimization algorithm to process real-time fault identification of the oil and gas data, and finally identifies and warns of faults by combining with the digital twin technology. Experimental results indicate that this method significantly enhances the efficiency and stability of fault identification and early warning, demonstrating substantial advantages compared to existing transformer fault diagnosis methods. Table and Figures | Reference | Related Articles | Metrics

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Study on Evacuation Modeling of Airport Based on Social Force Model Zhong Shaobo, Yu Zhichen, Yang Yongsheng, Sun Chao, Huang Quanyi Journal of System Simulation    2018, 30 (10): 3648-3656.   DOI: 10.16182/j.issn1004731x.joss.201810007 Abstract （550）      PDF（pc） （504KB）（1636）       Knowledge map    Save Public safety events frequently occurred in China and caused great casualty and property loss. Inefficient evacuation is one of the major causes of casualties in emergencies. Taking the T3-E of the Beijing Capital International Airport as a study area, the influence of four factors of evacuation guidance, customs barriers, the airport seats, and construction columns studies is studied through social force model-based simulation. The results show that: four factors have local effects on evacuation respectively. Evacuation guidance has the most significant positive effect while others have a little significant negative effect. Moreover, the relationships between the maximal and optimal number of evacuation and the four factors with a single boarding gate are given. This study provides references for special situation evacuation. Reference | Related Articles | Metrics

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Dynamic Path Planning for Mobile Robot Based on RRT* and Dynamic Window Approach Zhang Rui, Zhou Li, Liu Zhengyang Journal of System Simulation    2024, 36 (4): 957-968.   DOI: 10.16182/j.issn1004731x.joss.22-1543 Abstract （720）   HTML （41）    PDF（pc） （2871KB）（1407）       Knowledge map    Save A dynamic path planning method combining RRT* and dynamic window approach(DWA) is proposed to realize the obstacle avoidance of mobile robot in complex environment of dynamic obstacles. Improved RRT* algorithm is used to generate the global optimal safe path based on the known environment information. By eliminating the dangerous nodes generated by RRT* algorithm, the security of global path is ensured.Greedy algorithm is used to remove the redundant nodes in the path to reduce the length of global path. DWA is used to track along the global optimal path planned by the improved RRT* algorithm. When static obstacles appear on the global path, the weights of DWA algorithm evaluation function is adjusted twice to avoid the obstacles and return to the original path in time. When moving obstacles is in the environment. By detecting the dangerous distance in advance, changing direction and speeding up, the robot can safely drive away from the area. Simulation experiments verify that the improved fusion algorithm proposed in complex dynamic environment has shorter running time, smaller path cost, and always keeps safe distance from obstacles, which ensures the optimal tracked path while safely avoiding the dynamic obstacles. Table and Figures | Reference | Related Articles | Metrics

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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 （1430）      PDF（pc） （448KB）（3560）       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

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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 （4194）      PDF（pc） （1665KB）（6202）       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

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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 （2907）   HTML （736）    PDF（pc） （702KB）（2687）       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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Design and Implementation of Online Interactive Educational Game Based on Somatosensory Ban Rui, Ding Dandan, Zhang Mingmin, Shen Huaqing Journal of System Simulation    2017, 29 (11): 2890-2897.   DOI: 10.16182/j.issn1004731x.joss.201711039 Abstract （428）      PDF（pc） （1255KB）（1135）       Knowledge map    Save The somatic game has been widely used in the educational field because of the advantages of excellent experience, multi sense and student-centered. But now, the commonly used somatic game equipment is based on PC, such as Kinect, which does not support browsing on web and requires long period development, failing to meet the teaching demands. This leads to the slow and imbalanced developments of somatic-based education game. To solve those problems, this paper puts forward a solution, which combines Websocket communication mechanism and Kinect recognition mode. In order to promote the integration of education and games, this paper further studies the design principle and strategy of somatic-based online interactive education games and an application case is demonstrated. Reference | Related Articles | Metrics

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Review on Key Technologies of Industrial Control System Security Simulation Wang Bailing, Liu Hongri, Zhang Yaofang, Lü Sicai, Wang Zibo, Wang Qimeng Journal of System Simulation    2021, 33 (6): 1466-1488.   DOI: 10.16182/j.issn1004731x.joss.20-0875 Abstract （1270）      PDF（pc） （1600KB）（2645）       Knowledge map    Save In order to cope with the increasingly serious industrial internet security problems, simulation is viewed as a critical backboned technology for drilling of network attack and defense, tracking back and analyzing of security incidents, as well as validating of pre-research technology. On the basis of summarizing the studies of three types of typical industrial control system security simulation platform, the key technologies used in industrial control cyber range and industrial control honeynets are highlighted. Technologies are summarized, such as the virtualization technology of industrial control network and industrial control components, the construction technology of industrial control target field dominated by flow simulation and behavior simulation, the trapping technology of industrial control honeynet under the interconnection of multiple honeypots, and the data acquisition and evaluation technology. The challenges and future trends in the field of security simulation of industrial control systems are presented. 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 （1738）   HTML （590）    PDF（pc） （2491KB）（2040）       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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Development of Combat Concept of Intelligent Land Assault System Based on DoDAF Wang Can, Ji Haoran, Guo Qisheng, Dong Zhiming, Tan Yaxin, Mu Ge Journal of System Simulation    2023, 35 (11): 2397-2409.   DOI: 10.16182/j.issn1004731x.joss.22-0628 Abstract （462）   HTML （22）    PDF（pc） （3012KB）（1556）       Knowledge map    Save In view of military demand traction in the development of land assault equipment, a combat concept of land assault systems for future intelligent combat is developed. Basedon the definition of relevant concepts and research boundaries, the combat concept model framework and modeling steps are proposed based on DoDAF, and the combat effect, combat process, combat nodes, resource interaction, system composition, and capability characteristics are analyzed in combination with the model description. The combat concept verification is carried out from the aspects of system combat efficiency and communication load by simulation experiments. The results show that the intelligent assault system has more agile strike links and stronger firepower strike capability than the traditional assault equipment, and the new communication load pressure is within the current technical capacity support range. It proves that the selection, allocation, and combat mode of the core executor system in the combat concept are reasonable and feasible, which has reference significance for the subsequent development of equipment. Table and Figures | Reference | Related Articles | Metrics

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Design and Research on Mechanism Model of Cyclone Zhang Yue, Han Pu Journal of System Simulation    2018, 30 (5): 1672-1680.   DOI: 10.16182/j.issn1004731x.joss.2018050007 Abstract （496）      PDF（pc） （406KB）（912）       Knowledge map    Save The operating characteristics of the cyclone separator greatly affect the overall operating efficiency of the boiler, the gas-solid two-phase flow in the cyclone separator is complicated by the vortex flow. The mathematical model of different angles has been too complicated or one-sided to show its running mechanism. A mechanism model of the internal parameters of a cone assembly and a counter current cyclone separator has been established. The three cutting diameter calculation methods have been compared for grade separation efficiency. The pressure drop has been combined with the pressure drop of the subdivision of the system structure, and the calculation model for different parts has been presented. The exothermic process of combustible particles has been embodied in the heat transfer model. By means of simulation, the outputs of the model with different inputs have been analyzed, which shows that the model can reflect the operating characteristics of the cyclone separator with higher precision. Reference | Related Articles | Metrics

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A Cyber-physical Integrated Modeling Method Oriented for Motion Simulation of Complex Systems Wenzheng Liu, Heming Zhang Journal of System Simulation    2022, 34 (5): 954-963.   DOI: 10.16182/j.issn1004731x.joss.22-0097 Abstract （2272）   HTML （221）    PDF（pc） （4294KB）（1929）       Knowledge map    Save The traditional virtual modeling of motion simulation lacks the dynamic modeling of cyber subsystems and physical subsystems in complex systems. The advantages of the traditional kinematic virtual modeling and cyber calculation are combined, and aiming at the problem that the accuracy and real-time property of motion simulation cannot meet the actual industrial manufacturing requirements, a cyber physical integrated modeling method for the motion simulation of complex systems is proposed. The inconsistency between real robotic driving and virtual robot motion is solved, which is verified by a case study of mechanical arm motion control. A virtuality-reality mapping platform for complex system motion simulation is built, which integrates the modeling environment CoppeliaSim, together with actual robot feedback of motion and mapping model of simulated-actual robot motion, to obtain the unique pose solution of the motion equation. Experimental results show that the proposed method can realize real-time motion simulation of industrial robot. Table and Figures | Reference | Related Articles | Metrics

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Performance Evaluation of Bayesian Estimator with Consistency Validation Sun Zuolei, Li Ying, Zhang Bo, Zhang Wen Journal of System Simulation    2016, 28 (3): 569-576.   Abstract （325）      PDF（pc） （489KB）（1256）       Knowledge map    Save Considering the lack of sound evaluation method for Bayesian estimator design, an approach employing consistency as the core criterion was proposed. By studying the unbiasedness and whiteness of innovation sequence yielded during observation update routine, the normalized innovations square (NIS) was constructed, and then the chi-square test being able to detect the Posterior's consistency was carried out on NIS. Experiments demonstrate that the proposed algorithm can identify the inappropriate parameter configuration for both linear and nonlinear systems, therefore the performance of the estimators can be evaluated. Reference | Related Articles | Metrics

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Opto-mechanical-thermal Coupling Analysis Method and Implementation of High-precision Optical System Liang Zhao, Zhigang Zhang, Yao Sun Journal of System Simulation    2023, 35 (6): 1381-1394.   DOI: 10.16182/j.issn1004731x.joss.23-0092 Abstract （594）   HTML （10）    PDF（pc） （4679KB）（1880）       Knowledge map    Save High-precision optical system is easy to be affected by space environment. Under the condition of high temperature, structural load, etc., the image quality of the optical system becomes poor, and the opto-mechanical-thermal coupling analysis is needed. Due to the independent development of the optical simulation, structure simulation, thermal simulation and others, the simulation data can not be effectively coupled and transferred. An interdisciplinary coupling analysis method is proposed, in which the integrated analysis idea is adopted and the polynomial fitting is used as the interface to solve the irregular deformation of optical element surface. Through the implement of the best fitting rigid body displacement, the best fitting radius of curvature, polynomial fitting, etc., the coupling analysis between finite element analysis tool and optical analysis tool is realized. Taking Cassegrain system as the test object, the effectiveness of the method is verified. The method provides a reference to the optical performance evaluation of the optical-mechanical system and the design optimization of the system under extreme conditions. Table and Figures | Reference | Related Articles | Metrics

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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 （3973）      PDF（pc） （191KB）（4005）       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

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Multi-Objective Optimization Configuration of AGV System Based on Response Surface and NSGA-II Jianlin Fu, Guofu Ding, Jian Zhang, Haifan Jiang, Peipei Guo Journal of System Simulation    2022, 34 (5): 994-1002.   DOI: 10.16182/j.issn1004731x.joss.20-0908 Abstract （1835）   HTML （103）    PDF（pc） （685KB）（1334）       Knowledge map    Save Automated guided vehicle(AGV) system plays an important role in the production flexibility and efficiency in manufacturing systems. Due to the dynamic and stochastic characteristics of AGV system with many variables, its optimal configuration is relatively complex. A method combining system simulation, mathematical analysis and multi-objective optimization is proposed to optimize the configuration of AGV system. The discrete event simulation is used to simulate the operation of AGV system, the sensitivity analysis is used to separate design variables, the factorial experiments and response surface methods are used to build the fitting multi-objective optimization mathematical model, and the non-dominated sorting genetic algorithm-II(NSGA-II) is used to solve the multi-objective optimization problem. The effectiveness of the method is proved by an industrial case study, which provides an effective systematic analysis method for the optimal configuration of AGV system in manufacturing or logistics systems. Table and Figures | Reference | Related Articles | Metrics

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Path Planning of Mobile Robot Based on the Integration of Multi-scale A* and Optimized DWA Algorithm Xu Jianmin, Song Lei, Deng Dongdong, Chen Yaoruo, Yang Wei Journal of System Simulation    2025, 37 (1): 257-270.   DOI: 10.16182/j.issn1004731x.joss.23-1089 Abstract （212）   HTML （9）    PDF（pc） （7005KB）（558）       Knowledge map    Save In order to solve the problems of sharply increasing computational and time costs, as well as poor flexibility of the traditional A* algorithm and dynamic window approach (DWA) in the face of large-scale complex environmental path planning, a fusion algorithm based on the A* algorithm of the multi-scale map approach(MMA) and the improved DWA algorithm is proposed. A multi-scale map set is established and an obstacle proportion factor is added to the heuristic function of the A* algorithm. The A* algorithm is used to calculate the optimal path on the coarse-scale map, and the optimal path is mapped onto the fine-scale map for quadratic A* algorithm planning. The Floyd algorithm is used to optimize the nodes, remove redundant nodes, and improve the smoothness of the path. In addition, the heading angle adaptive adjustment strategy and parking wait state are added to optimize the dynamic window method to improve flexibility. The key points of the A* algorithm are used as local target points of the dynamic window method and replanned when there are obstacles on the path to realize the integration of the two algorithms. The results of ROS simulation and actual vehicle experiments show that the computation time of the improved A* algorithm is significantly reduced by 98% in 20×40 maps and the improved fusion algorithm dramatically improves the smoothing and flexibility of the robot in dynamic environments, and can effectively solve the problems existing in the traditional fusion algorithm Table and Figures | Reference | Related Articles | Metrics

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Handling Constrained Multi-objective Optimization Problems Based on Relationship Between Pareto Fronts Wang Yubo, Hu Chengyu, Gong Wenyin Journal of System Simulation    2024, 36 (4): 901-914.   DOI: 10.16182/j.issn1004731x.joss.22-1430 Abstract （371）   HTML （16）    PDF（pc） （747KB）（1477）       Knowledge map    Save To address the challenges of balancing the constraint satisfaction and objective function optimization, and dealing with the complex feasible regions in constrained multi-objective optimization problems(CMOPs), a classification-based search approach is proposed based on different Pareto front relationships. A dual-population dual-phase framework is proposed in which an auxiliary population Pa and a main population Pm are evolved and the evolution process is divided into a learning phase and a search phase. During the learning phase, Pa explores unconstrained Pareto front (UPF) and Pm explores constrained Pareto front(CPF), through which the relationship between UPF and CPF is determined. After completing the learning phase, the different classified relationships guide the subsequent search strategies. In the search phase, the algorithm adaptively adjusts the search strategy of Pa to provide effective assistance for Pm according to the different classification relationships between UPF and CPF. Based on this framework, Pareto front relationships for different CMOPs are classified to achieve the more effective searching for CPF. Experimental results show that the proposed algorithm has a better performance compared with the seven state-of-the-art constrained multi-objective evolutionary algorithms (CMOEAs). Through learning and utilizing the relationship between UPF and CPF, the more appropriate search strategies can be selected to handle CMOPs with different characteristics and a more advantageous final solution set can be got. Table and Figures | Reference | Related Articles | Metrics

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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 （563）      PDF（pc） （812KB）（1955）       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

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Improving NSGA-III Algorithm for Solving High-dimensional Many-objective Green Flexible Job Shop Scheduling Problem Xu Yigang, Chen Yong, Wang Chen, Peng Yunxian Journal of System Simulation    2024, 36 (10): 2314-2329.   DOI: 10.16182/j.issn1004731x.joss.23-0694 Abstract （268）   HTML （4）    PDF（pc） （2792KB）（680）       Knowledge map    Save Aiming at the poor initial solution quality and low local search efficiency of NSGA-III in solving the many-objective flexible job shop scheduling model, an improved NSGA-III (NSGA-III-TV) is proposed. Based on MSOS encoding, the different mixed initialization strategies are adopted for OS and MS chromosomes to improve the quality of initial solutions. Based on the critical path, an improved N6 neighborhood structure is used for neighborhood search, which effectively reduce the completion time and reducing search randomness. Three effective mutation operators are employed to expand the search space and improve the convergence capability in the later stages. Test results show that NSGA-III-TV has good performance and practicality in solving the high-dimensional many-objective flexible job shop scheduling problems, which provides strong support for the intelligent green transformation and the upgrading of manufacturing workshops of enterprises Table and Figures | Reference | Related Articles | Metrics

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An Approach to Solving the Incoming Target Based on Uncertain Time Series Jing Yang, Minghua Lu, Xingchen Hu, Jinping Wu Journal of System Simulation    2023, 35 (6): 1245-1259.   DOI: 10.16182/j.issn1004731x.joss.22-0123 Abstract （256）   HTML （17）    PDF（pc） （4807KB）（1153）       Knowledge map    Save The traditional solution method for the incoming attacking target in water lacks the time series characteristics mining on multi-dimensional and uncertain observation data. Aiming at the time series prediction with high complexity and missing data, a method based on adaptive window interpolation and deep variable weight long-term and short-term memory network model for missing time series observation data with multiple sampling frequencies is proposed, which is compared and verified on the simulation data and public test data set. Aiming at the random missing problem caused by the inconsistency of sampling frequency of multi-source observation information, an adaptive window imputation method is introduced to adaptively adjust the imputation window according to the missing rate of observation information and reduce the error level of traditional imputation methods. The long and short-term memory network model with variable weights is introduced to time series data, and the loss weight of back propagation is adaptively adjusted according to the missing time series observation data at multiple sampling frequencies while being suitable for imputation of missing time series observation data at multiple sampling frequencies. Experiment results show that the comprehensive use of adaptive window interpolation and variable weight long-term and short-term memory network model can provide a faster and accurate decision-making reference for predicting and defending the incoming targets. Table and Figures | Reference | Related Articles | Metrics

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Research on the Method of Operational Concept Description Based on SysML Peng Siming, Xiao Gang, Yu Qingzhang, Li Zeming Journal of System Simulation    2021, 33 (3): 604-612.   DOI: 10.16182/j.issn1004731x.joss.19-0613 Abstract （662）      PDF（pc） （1281KB）（1662）       Knowledge map    Save For the convenience of understanding and communication between researchers among different domains, the standardized method for operational concept description is preferred. Hence, based on the principles of systems architecture, the System Model Language (SysML) is proposed for the visualized and standardized description of operational concept. The form of combination for Department of Defense Architecture Framework (DoDAF) and SysML during the description of operational concept is analyzed, and the multi-view point products are used to descript the operational background, capability requirement and systems architecture as well as the operational activity of operational concept. The "Distributed Lethality" is utilized as an example to validate the effectiveness and feasibility of the proposed scheme. Reference | Related Articles | Metrics

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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 （507）   HTML （44）    PDF（pc） （2903KB）（1447）       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

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Research on Collaborative Optimization Method of Multi-UAV Task Allocation and Path Planning Xiao Peng, Xie Feng, Ni Haihong, Zhang Min, Tang Zhili, Li Ni Journal of System Simulation    2024, 36 (5): 1141-1151.   DOI: 10.16182/j.issn1004731x.joss.23-0012 Abstract （538）   HTML （8）    PDF（pc） （2505KB）（1368）       Knowledge map    Save Aiming at the task requirements of multi-UAV to perform multi-target collaborative reconnaissance, a collaborative optimization method of multi-machine and multi-objective task allocation and path planning is proposed. Based on the partheno genetic algorithms (PGA), a cost function combined with the actual path cost is constructed through the Dubins curve. To further reduce the calculation cost, a clustering algorithm based on UAV detection distance is proposed, and the generated clustering point is used as a new waypoint of UAV. The simulation results show that considering the dangerous area and the large number of reconnaissance points, the algorithm can effectively complete the reconnaissance task allocation of the UAV and at the same time form a preliminary route. It improves the rationality and convergence speed of task assignment, and reduces the overall cost. Table and Figures | Reference | Related Articles | Metrics