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Intelligent Manufacturing Plan Management Based On Digital Twins, Yingying Xiao, Wang Mei, Liqin Guo, Xing Chi, Changhui Zhuang 2019 1. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China; ;2. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China; ;3. Science and Technology on Space System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China;

Intelligent Manufacturing Plan Management Based On Digital Twins, Yingying Xiao, Wang Mei, Liqin Guo, Xing Chi, Changhui Zhuang

Journal of System Simulation

Abstract: For the multi-variety and small-batch manufacturing mode, the planning management system cannot be timely automatically adjusted according to uncertain factors. This paper proposes an intelligent manufacturing plan management system based on factory digital twins. The plan management PDCA business process model is established. In addition, the processing logic model and constraints of the periodic static scheduling model and the dynamic emergency scheduling model are proposed. Based on the planning management case of hybrid assembly of two types of aerospace complex products, it is verified that the management model proposed in this paper can support the intelligent dynamic adjustment of …


A Cloud Service Composition Optimization Based On Hnn, Huili Zhang, Zhihe Li 2019 1. Linfen Vocational and Technical College, Linfen 041000, China; ;2. School of Educational Science, Shanxi Normal University, Linfen 041000, China;

A Cloud Service Composition Optimization Based On Hnn, Huili Zhang, Zhihe Li

Journal of System Simulation

Abstract: With the rapid development of Cloud service application, how to effectively optimize the composition of Cloud services on cloud platform and improve the overall performance of cloud platform system have become an urgent research issue. In order to improve the efficiency of Cloud services, a combined optimization model based on Hopfield neural network is proposed. The problem of Cloud services is modeled. The problem is expressed as Hopfield Neural Network energy model for optimization, and a PSO group algorithm with Cauchy disturbance is designed to improve the Hopfield model. The experimental comparison shows that the method can improve …


Modeling And Simulation Of Complex Equipment Health Management System Based On Cloud Computing, Tianrui Zhang, Chuansheng Qu, Baoku Wu, Jianan Xu 2019 1. School of Mechanical Engineering, Shenyang University, Shenyang 110044, China; ;2. School of Mechanical and Automation, Northeastern University, Shenyang 110819, China;

Modeling And Simulation Of Complex Equipment Health Management System Based On Cloud Computing, Tianrui Zhang, Chuansheng Qu, Baoku Wu, Jianan Xu

Journal of System Simulation

Abstract: For complex equipment operation safely, the health management problems of complex equipment life cycle is analyzed. In order to realize remote service, complex equipment health management mode based on cloud computing is proposed. Aiming at the accuracy problem in the process of extracting and recognizing complex equipment characteristic data, the feature knowledge acquisition method based on ontology is researched, and the expression and acquisition algorithm of state characteristic knowledge is proposed. A task sequencing algorithm faults based on fuzzy comprehensive evaluation method is proposed, an appropriate task assignment model is selected for scheduling health management technicians. …


Agent Based Modeling And Simulation Analysis Of Low-Orbit Early-Warning Satellites, Liu Wen, Xiaolu Wang, Hongsheng Wang, Zhang Heng, Changqing Wang 2019 China Academy of Launch Vehicle Technology Research and Development Department, Beijing 100076, China;

Agent Based Modeling And Simulation Analysis Of Low-Orbit Early-Warning Satellites, Liu Wen, Xiaolu Wang, Hongsheng Wang, Zhang Heng, Changqing Wang

Journal of System Simulation

Abstract: 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.


Simulation Of Vehicle Startup Delay At Green Light And Its Direct And Chain-Reaction Impact On Traffic Flow, Longxi Luo, Lijun Xie, Jianping Wu, Xu Ming 2019 School of Civil Engineering, Tsinghua University, Beijing 100084, China;

Simulation Of Vehicle Startup Delay At Green Light And Its Direct And Chain-Reaction Impact On Traffic Flow, Longxi Luo, Lijun Xie, Jianping Wu, Xu Ming

Journal of System Simulation

Abstract: In current traffic simulations, it is implicitly assumed vehicles are driven by ideal drivers. Therefore, simulated vehicles make the most reasonable decisions such as moving out immediately when traffic lights turn green, resulting in a gap between simulations and real traffics. Research shows that drivers, including those who follow the rules, show a delay in starting-up their vehicles at the green light. The vehicle startup delay (SUD) is even more significant for drivers by things such as cell phones during waiting. However, the SUD has rarely been considered in simulations. The SUD is simulated to study its impacts on …


Fault Prediction Of Satellite Attitude Control System Based On Neural Network, Xiaofan Meng, Song Hua 2019 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;

Fault Prediction Of Satellite Attitude Control System Based On Neural Network, Xiaofan Meng, Song Hua

Journal of System Simulation

Abstract: A new method based on BP neural network(BPNN), wavelet neural network(WNN) and wavelet decomposition-LSTM(wLSTM) network is proposed for predicting faults in the satellite attitude control system. Normal satellite attitude data is used to train BPNN which is used as the standard model of satellite attitude control system. The real-time attitude residuals is obtained by subtracting the BPNN output attitude angle from the real-time data of satellite attitude. The time series of the residuals are used to build WNN and wLSTM models to predict the faults of satellite attitude control system. A conclusion is given according to comparing the …


Design Of Combat Simulation And Visualization System Of Hypersonic Vehicle, Yu Ying, Weidong Liang, Xiujuan Zhu, Jianlin Wang, Wang Ling 2019 Science and Technology on Space Physics Laboratory, Beijing 100076, China;

Design Of Combat Simulation And Visualization System Of Hypersonic Vehicle, Yu Ying, Weidong Liang, Xiujuan Zhu, Jianlin Wang, Wang Ling

Journal of System Simulation

Abstract: Based on the thought of combat simulation, the system of combat simulation and visualization is designed to show the typical combat mode and the characteristics of near space vehicles. Taking the aircraft attacking a fixed target as an example, the formulation of combat plan, the deployment of forces and the design of combat process of both sides are realized. On the one hand, a combat simulation platform which covers various combat modes of attack and defense is established. On the other hand, the whole process of combat confrontation of hypersonic vehicles is presented, driven by the real-time simulation data. …


Multi-Sensor Data Fusion With Network Delays And Correlated Noises, Shankai Zhang, Zhu Cui, Su Zhong, Dai Juan 2019 1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China; ;

Multi-Sensor Data Fusion With Network Delays And Correlated Noises, Shankai Zhang, Zhu Cui, Su Zhong, Dai Juan

Journal of System Simulation

Abstract: This paper focuses on the state estimation for multi-sensor system with network delays and correlated noises. An orthogonal transformation method is applied to remove the correlations between different noises. For the problem of packet delays due to the unreliable network, a buffer with certain length is introduced to store the measurements, and the measurements are reordered using a timestamp in the buffer. Based on that, a novel sequential data fusion algorithm is proposed, by which the influence of the noise correlation and packet delays can be weakened effectively. Compared with the traditional sequential fusion method, the proposed algorithm has …


Pedestrian Navigation Method Based On Uwb And Sins, Yang Yang, Li Qing 2019 Beijing Information Science and Technology University Institute of Intelligence Control, Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;

Pedestrian Navigation Method Based On Uwb And Sins, Yang Yang, Li Qing

Journal of System Simulation

Abstract: In view of the problem that the inertial navigation error is accumulating with time and UWB indoor is hard to continue tracking problems in complex environment, an extended Kalman filter (EKF) fusing UWB and sins pedestrian navigation is proposed.The zero speed correction algorithm is used to trigger EKF at zero speed. The sins is corrected by the velocity error measurement provided by sins and the position error measurement provided by UWB restraining error accumulation.When UWB signal is interrupted, the position of UWB output without interruption is taken as the starting position. The experiment results of SINS autonomous navigation …


Research On Uncertainty Measurement Method Of Aircraft Hwil System, Huapin Geng, Jiahui Tong, Hongtao Ma 2019 1. Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China; ;

Research On Uncertainty Measurement Method Of Aircraft Hwil System, Huapin Geng, Jiahui Tong, Hongtao Ma

Journal of System Simulation

Abstract: Uncertainty is the inherent attribute of simulation system, causing the expected results inconformity with the real results, even influencing the robustness and reliability of system. Based on the analysis of the system uncertainty characteristics, the analysis framework of HWIL system uncertainty measurement is proposed. Three kinds of the uncertainty measurement methods based on the uncertainty type and the compound and weighting are researched on aircraft HWIL System. The typical uncertainty measurement methods are applied based on some aircraft HWIL system and the result proves that the method is efficient.


Fault-Tolerant Method And Simulation Of Heterogeneous Multi-Core Processor Based On Speculative Mechanism, Shigan Yu, Zhimin Tang, Xiaochun Ye, Dongrui Fan 2019 1. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2. School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing 100049, China; ;3.National Engineering Laboratory for Advanced Processor Technology, Chengdu 610218, China; ;4.Information Engineering college, Fuyang Normal University, Fuyang 236041, China;

Fault-Tolerant Method And Simulation Of Heterogeneous Multi-Core Processor Based On Speculative Mechanism, Shigan Yu, Zhimin Tang, Xiaochun Ye, Dongrui Fan

Journal of System Simulation

Abstract: Heterogeneous multicore is one of the important branches of processors,but they are still faced with frequent transient failures. TMR(Triple mode redundancy) is the main method to solve transient faults, which has the characteristics of low efficiency and high power consumption, a high-performance Fault-Tolerant Scheduling Algorithm with Speculative mechanism(FTSAS) is proposed. Each heterogeneous core can execute tasks independently, the state values of the first completed core are recorded, and the first completed core continues to perform the next task with forward speculative method. The results are compared by backward core, the majority consensus principle is adopted to ensure the reliability …


Lstm Model For Trajectory Design Of Missile-Borne Bfsar Imaging Guidance, Bohao Li, Yunjie Wu 2019 1. State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China; ;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;3. Science and Technology on Aircraft Control Laboratory, Beijing 100191, China;

Lstm Model For Trajectory Design Of Missile-Borne Bfsar Imaging Guidance, Bohao Li, Yunjie Wu

Journal of System Simulation

Abstract: In the multi-platform path planning of multi-missile cooperative guidance algorithm used for missile-borne Bi-static Forward-looking Synthetic Aperture Radar (BFSAR) imaging, it is necessary to plan and adjust the transmitter trajectory according to the space state of the receiver and the path constraints between the receiver and the transmitter.An effective LSTM model is constructed to study and train the trajectory path generated by the existing algorithms, and the direct mapping relationship between the receiver space state, path constraint and the trajectory of the transmitter is obtained. The simulation results not only show that LSTM is feasible in multi-missile path …


Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan 2019 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan

Journal of System Simulation

Abstract: This paper addresses the optimization of energy consumption in discrete workshops and establishes the energy efficiency optimization model of discrete workshops. The relationship between data mining and knowledge discovery is established. Through scheduling data preprocessing and C4.5 decision tree learning algorithm, the discovery of scheduling knowledge is realized. Energy efficiency optimization calculation is achieved in discrete workshops by the combination of scheduling knowledge and improved differential evolution algorithm (IDE). By comparing with TLBO, GA and PSO, the feasibility of IDE algorithm is verified.


Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai 2019 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;

Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai

Journal of System Simulation

Abstract: Internet technology and online social networks have developed rapidly, which enables people to randomly express their opinions, ideas, emotional exchanges and economic exchanges. Inferring social networks is made possible through the observation data exchanged by people on the Internet. Through the analysis of ConNIe (Convex Network Inference) algorithm, this paper researches the effects of sparse parameter, propagation time distribution model and its parameters on the inference results of the algorithm. According to the analysis, a social network inference framework based on ConNIe algorithm is proposed. Combining the perceptron and particle swarm optimization algorithm, the ConNIe algorithm inference becomes a …


Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong 2019 The Operation experiment Centre, Dalian Navy Academy, Dalian 116013, China;

Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong

Journal of System Simulation

Abstract: Soldier morale is a complex social construction influenced by factors at multiple levels and integrates many research domains. This research seeks to explore, model, and simulate soldier morale at multiple levels of analysis. Microcosmically Agent-Based Modeling method is used to reflect the interaction among fighters and the course of affecting morale,Macrocosmically SD method is used to reflect the influence of the tactical psychology on morale and the whole war in the counter-combat process. The developed sample case scenario pertained to US security efforts against insurgency in Afghanistan in 2007. The scenario includes representation of the patrol base operations serving …


Dynamic Simulation Of Marine Pasture Water Quality Monitoring Network Based On Aug, Wenxia Xue, Bin Lin, Hu Xu, Jingbo Zhang 2019 College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;

Dynamic Simulation Of Marine Pasture Water Quality Monitoring Network Based On Aug, Wenxia Xue, Bin Lin, Hu Xu, Jingbo Zhang

Journal of System Simulation

Abstract: The development of marine pastures puts forward higher requirements for water quality monitoring. In order to achieve large-scale and long-term underwater water quality monitoring, AUG-based Underwater Sensor Network (AUSN) is studied. The AUG is introduced as the underwater sink node of the sensor network and the sleep scheduling mechanism is adopted for the sensors, which can effectively reduce the total energy consumption of the network. Based on the analysis of energy consumption characteristics of underwater sensor networks, the energy consumption calculation formula of underwater sensor networks is discussed. Combined with the virtual visualization technology, the underwater sensor network simulation …


Design And Implement Of Semi Physical Simulation System For Underwater Acoustic Imaging, Ruonan Fan, Jijun Jiang, Naiwei Sun 2019 The 705 Research Institute, Xi'an 710077, China;

Design And Implement Of Semi Physical Simulation System For Underwater Acoustic Imaging, Ruonan Fan, Jijun Jiang, Naiwei Sun

Journal of System Simulation

Abstract: A semi physical simulation system based on underwater scale target and acoustic imaging is designed. Functional requirements are presented, the echo models of underwater scale target acoustic image are established through the planar element method, the structure, hardware and software are designed, the real-time signal generation techniques of applying the model to the simulation system are researched. The results of underwater experiment show that the simulation system can simulate the acoustic imaging echo signal of Benchmark submarine model, the imaging results are recognizable to some extent, it can be promoted to any underwater scale target and meet the …


Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin 2019 1. Graduate school of National Defence University, Beijing 100091, China; ;

Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin

Journal of System Simulation

Abstract: Space reconnaissance support operations mainly undertake the tasks of target detection and identification in the early stage of strike, target guidance during strike and damage effect evaluation after strike. Based on EBI(Entity, Behavior, Interaction)modeling framework, this paper describes the entity models of signal intelligence sensor, radar alarm sensor and imaging sensor, constructs a combined mode of space reconnaissance support operation. It mainly models the combined mode algorithm of three sensors and their respective target detection behavior rules, whick is conductive to improving reconnaissance efficiency and enhancing intelligence quality in combat operations.


Research On Gear Appearance Defect Recognition Based On Improved Faster R-Cnn, Weixi Ji, Du Meng, Peng Wei, Xu Jie 2019 1. School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China; ;2. Jiangsu Provincial Key Laboratory of Food Manufacturing Equipment, Wuxi 214122, China;

Research On Gear Appearance Defect Recognition Based On Improved Faster R-Cnn, Weixi Ji, Du Meng, Peng Wei, Xu Jie

Journal of System Simulation

Abstract: In order to achieve automatic identification of gear appearance defects and improve the qualification rate of gear products, aiming at the generalization of traditional defect recognition algorithms and the time-consuming of manual features extraction, this paper proposes an improved gear flaw detection algorithm for Faster R-CNN. VGG-2CF network is designed to improve the ability to identify smaller targets. Introducing AM-Softmax loss function is introduced to reduce the intra-class variation and optimize the inter-class difference. Combining with F-measure in machine learning algorithm, an AMF-Softmax loss function is proposed to solve the problem of data imbalance. The experimental results show the …


Survey Of Vision-Based Augmented Reality 3d Registration Technology, Shouming Hou, Han Ji, Yudong Zhang, Ziqiu Zhu 2019 1. Henan Polytechnic University, Jiaozuo 454000, China; ;2. Hebi Automobile Engineering Vocational College, Hebi 458030, China; ;

Survey Of Vision-Based Augmented Reality 3d Registration Technology, Shouming Hou, Han Ji, Yudong Zhang, Ziqiu Zhu

Journal of System Simulation

Abstract: Three-dimensional registration technology is one of the core technologies for augmented reality system implementation. In recent years, with the maturity of augmented reality hardware technology and the expansion of application fields, vision-based three-dimensional registration technology has received more attention and development. This paper introduces the basic principles and classification methods of 3D registration technology, focuses on the analysis of the principles and research status of three kinds of visual three-dimensional registration technology based on artificial identification, natural feature points and model.Furthermore, the defects and treatment methods of three visual registration technologies are discussed. The development prospect of visual 3D …


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