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Operations Research, Systems Engineering and Industrial Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
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Articles 2251 - 2280 of 3880
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun
Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun
Journal of System Simulation
Abstract: Aiming at simulation test requirement for Radar/IR dual mode compound guidance seeker, the HWIL simulation system for dual mode compound guidance based on parallel simulation was designed in detail, the key technology design was studied mainly, which consists of control mode and control relation, compound guidance information fusion and decision-making design, and parallel simulation Space and Time Consistency. The simulation model of parallel simulation system, missile attitude motion error model and target space error model were built for the Space and Time Consistency analysis. The simulation results show that simulation test and evaluation application requirement is satiable, and …
Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi
Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi
Journal of System Simulation
Abstract: Flame radicals are crucial for an in-depth understanding of the combustion mechanisms. The spectral characteristics of flame radicals were studied based on digital imaging and feature extraction techniques. The information obtained was used to establish the extreme learning machine (ELM) model which can be used to predict the NOx emissions based on the experimental data and digital simulation from a biomass-gas-air combustion process. The digital images of four flame radicals, i.e., OH*, CN*, CH* and C2*, were collected using an EMCCD (Electron Multiplying Charge Coupled Device) camera. The image segmentation was performed using the fuzzy C-means (FCM) …
Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin
Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin
Journal of System Simulation
Abstract: As the increasing application of intra-pulse modulations, modulation recognition of radar signals becomes difficult in radar reconnaissance systems. Usually, there are multipath interferences along with the intercepted signal. The conventional methods become slowdown because of the multipath interferences. Aiming at radar signals in multipath channel, a feature extraction method was proposed based on higher order ambiguity function (AF) and singular vector decomposition, adopting the linear support vector machine (SVM) classifier to determine the types of the intercepted radar signals. Theoretical analysis and simulation results show that the proposed method has good ability to suppress the influence of multipath interferences …
Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen
Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen
Journal of System Simulation
Abstract: Rainfall forecast has played an increasingly important role of meteorological services. As cloud platform can improve the efficiency and accuracy of rainfall forecast, it has been applied to forecast rainfall. The recent forecast methods require the independence between all the attributes, but most of the meteorological factors are interdependent, which reduces the accuracy of the prediction. Consequently, a semi-naive Bayesian classification was proposed combined with fuzzy set theory realizing it on cloud platform. At the same time, to improve the accuracy and the efficiency of rainfall forecast, a forecast model was established, which used the historical weather data …
Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping
Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping
Journal of System Simulation
Abstract: The joint optimization problem of energy management and demand response were studied in order to reduce the long-run cost of electricity users equipped with energy storage unit and smart applications, and to increase their benefits meanwhile. The goals were achieved by controlling both the energy storage unit (charging, discharging, or idle) and the load service (access or delay). Based on the random nature of solar photovoltaic, load demand electricity and electricity price, the joint optimization problem was modeled as infinite-horizon Markov decision process model, and Q-learning algorithm was proposed to find the optimal solution. Simulation results show that the …
Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan
Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan
Journal of System Simulation
Abstract: Since input filter is usually ignored in the modulation strategy for matrix converter, only the input current of converter is controlled in the same phase with grid voltage. Phase advance of grid current will come about as a result of current of capacitor and the power factor of grid side will be reduced. To solve this problem, the mathematical model of matrix converter was analyzed and the relationship between the real power factor and parameters of the system was studied. A grid current closed-loop control strategy was proposed. As the control objective of the strategy, the grid current was …
Fluid Network Modeling Method Based On Theory Of Signal Flow Graph, Zhang Yue, Han Pu
Fluid Network Modeling Method Based On Theory Of Signal Flow Graph, Zhang Yue, Han Pu
Journal of System Simulation
Abstract: The concept of signal flow graph was introduced into the mechanism modeling process to describe the fluid network. Various structures in the fluid network were classified as node and branch, and establish the algorithm relationship between node pressure and bransh resistance. Aiming at the characteristics of nonlinear and strong coupling of fluid network, the node pressure was expressed by Taylor series near the quiescent operation point using the linear model to describe the nonlinear network. A method was proposed which used the directed graph to improve the computational efficiency of the admittance matrix at the working point. Based on …
Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang
Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang
Journal of System Simulation
Abstract: Aiming at parameter estimation for fractional-order chaotic systems, a harmony gravitational search algorithm was proposed. The particles, which were updated by gravitational search algorithm, were recreated and searched through memory selections and probability search in harmony search algorithm. At the same times, in order to solve the problem that the speed changed too fast when the particles closed to the optimal solution, the partial adjustment probability was set to non-linearly decrease with the adsorption capacity increasing. Standard test functions were used to test the algorithm, and the test results show that the algorithm has good stability and global search …
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Journal of System Simulation
Abstract: In order to ensure the accuracy of the doubly-fed wind power generator (DFIG) and improve the control performance of the generator, a hybrid quantum-behaved particle swarm optimization for parameter identification was proposed. A parameter identification model of DFIG at coordinate was established. Quantum-behaved particle swarm optimization (QPSO) was improved and then mixed with simulated annealing (SA) algorithm. The proposed algorithm was compared with particle swarm optimization (PSO), QPSO and improved QPSO, which were applied to parameter identification of DFIG in Matlab/Simulink. Simulation results show that the proposed algorithm can improve the identification accuracy of …
General Hils System Research Of Mi-171 Helicopter Autopilot, Renwei Hu, Guo Nan, Kong Xia, Peng Jun, Chuanwei Sun
General Hils System Research Of Mi-171 Helicopter Autopilot, Renwei Hu, Guo Nan, Kong Xia, Peng Jun, Chuanwei Sun
Journal of System Simulation
Abstract: A general analogous and digital Hardware-In-the-Loop-Simulation (HILS) system was built for AΠ-34Б autopilot of Mi-171 helicopter. Simulator of avionics signals with hybrid interface for both analogous and digital signals was developed. A nonlinear flight dynamics mathematical model was built for Mi-171 helicopter. And on-ground test condition was built for analogous and digital flight control system. Test of on-ground system simulation and aerial flight were done by referring to Flight Test Outline. Results of flight test indicate that all classifications satisfy criteria at once, and the test results of aerial and on-ground are in good concordance …
Cell Voltage Optimization Of Aluminum Electrolysis Based On Neural Network-Genetic Algorithm, Chenhua Xu, Li Zhi
Cell Voltage Optimization Of Aluminum Electrolysis Based On Neural Network-Genetic Algorithm, Chenhua Xu, Li Zhi
Journal of System Simulation
Abstract: In order to reduce the production cost of electrolytic aluminum, an optimization extreme method was proposed based on neural network and genetic algorithm, to find the optimal production cell voltage and the corresponding production conditions. Using kernel principal component analysis method to determine the key parameters affecting of aluminum electrolysis production, a neural network model of electrolytic aluminum was established. Using the genetic algorithm, the global optimal value of the cell voltage of the electrolytic aluminum and the corresponding production conditions were found. The simulation results show that the neural network and genetic algorithm can predict the cell …
Simulation Study Of Grid-Side Improved Control Strategy For Direct-Driven Wind Turbine Under Unbalanced Faults, Wang Dan, Chongru Liu, Gengyin Li
Simulation Study Of Grid-Side Improved Control Strategy For Direct-Driven Wind Turbine Under Unbalanced Faults, Wang Dan, Chongru Liu, Gengyin Li
Journal of System Simulation
Abstract: In order to reduce the power and DC voltage fluctuations of direct-driven wind turbine under unbalanced grid faults, an integrated and improved control strategy for grid-side converter was proposed. In the analysis of grid-side power characteristics, positive and negative sequence components of grid-side voltage and current were calculated by converting them to the same reference frame and a compensation control loop to simultaneously restrain the second harmonic components of active and reactive power was designed on the basis of quasi proportional resonant control. Moreover, to reduce DC-link overvoltage, a feed-forward modified component reflecting the active power error between the …
Microscopic Online Simulation Method Of Road Traffic Accident Emergency Disposal, Peiqun Lin, Jiahui Liu, Kaibin Yao
Microscopic Online Simulation Method Of Road Traffic Accident Emergency Disposal, Peiqun Lin, Jiahui Liu, Kaibin Yao
Journal of System Simulation
Abstract: An online simulation based decision making method was proposed to search for the comparatively optimal emergency disposal plan quickly and quantitatively after the traffic accident, and the evaluation index of traffic emergency disposal plans was proposed on the foundation of designing the process and framework of the online simulation, and the vehicle movement model applied to highway traffic accident was established. The online simulation based decision making system was developed using VISSIM-COM interface, and it has been applied to a typical highway of Guangdong Province. The simulation and the practical application results illustrate that multiple emergency disposal plans …
Simulation Study Of Ac/Dc Converter For Marine Medium Voltage Test Power System, Kun Xia, Zhang Shuo, Yuan Yin, Zhang Ping
Simulation Study Of Ac/Dc Converter For Marine Medium Voltage Test Power System, Kun Xia, Zhang Shuo, Yuan Yin, Zhang Ping
Journal of System Simulation
Abstract: In order to realize the simulation of marine medium voltage power system of 40kW capacity in laboratory, it is necessary to convert AC 380V of generators outputs to the stable 4kV DC output. Two level transformations were applied in the system. The bridgeless boost PFC circuit was applied in AC/DC conversion in front. Four roads of full bridge PWM converters in cascade mode were applied to boost the voltage in DC/DC conversion at the end. One of them was the phase-shift full bridge to achieve the control of adjusting voltage output. The other three bridges were common full bridge …
Cpcw Design And Performance Analysis For Mimo Radar, Shen Dong, Li Qiang, Liu Xin, Zhou Yu
Cpcw Design And Performance Analysis For Mimo Radar, Shen Dong, Li Qiang, Liu Xin, Zhou Yu
Journal of System Simulation
Abstract: Based on the good correlation and random property of chaotic phase coding waveform (CPCW), a method is proposed to increase the target detection performance of multiple-input multiple-output (MIMO) radar with CPCW. CPCW can be generated by uniform quantifying and quadriphase coding for chaotic sequences. Comparing the correlation property of four kinds of CPCW, the longer Tent phase coding waveform is chosen to increase the target detection performance of MIMO radar, especially for the close small target. Meanwhile, signal processing model is built by CPCW, and multiple pulse compression accumulation can help to reduce the cross-correlation and auto-correlation sidelobes of …
Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao
Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao
Journal of System Simulation
Abstract: Linear moment is one of the important methods to estimate the extreme value distribution function in engineering practice. In order to improve the estimation performance for Gumbel distribution, the estimating results of twelve empirical distribution functions were simulated by using Monte Carlo method. The optimal linear moment estimation method was constructed based on the empirical distribution function with the minimum estimation error, and compared with ordinary moment, traditional linear moment and maximum likelihood method. The study shows that choosing an appropriate empirical distribution function can enhance the estimation accuracy. The optimal empirical distribution function varies depending on the sample …
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Journal of System Simulation
Abstract: It is of great significance to monitor, forecast and diagnose hydraulic systems’ fault timely and accurately. First, this paper describes the basic fault model theoretical knowledge of BP neural neystem failure neural network modeling has created and simulated. PSO-BP neural network has been raised, this paper has established PSO optimize model of the BP neural system fault diagnosis. BP network has been created and simulated in Plunger pump hydraulic system failure. The correct results indicate that this mixed PSO-BP algorithm is better than the improved BP algorithm, and can meet the requirements of Hydraulic system fault diagnosis.
Energy Conservation And Emissions Reduction Policy Simulation About Energy-Consuming Enterprises, Yongbo Yang, Chen Ying, Yang Jing, Mingzhong Liu, Zhenchao Jiang, Zeng Rong
Energy Conservation And Emissions Reduction Policy Simulation About Energy-Consuming Enterprises, Yongbo Yang, Chen Ying, Yang Jing, Mingzhong Liu, Zhenchao Jiang, Zeng Rong
Journal of System Simulation
Abstract: Energy conservation and emissions reduction policy have made some achievements, at the same time there are still some problem such as too much administrative command, lack of market mechanism and the lack of price mechanism. The government is both energy conservation leader, supervisor also rule makers. In order to formulate energy conservation policy, they must have overall cognition on energy conservation and emissions reduction. The dynamic relationship between the government, enterprise and environment was analyzed setting up simulation model for key energy-consuming enterprises based on system dynamics. Through the simulation, the influence of different policies for energy conservation …
Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu
Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu
Journal of System Simulation
Abstract: The fixed structure of turbo-generator stator end was studied. Bottom-up modelling method was applied to establish the finite element model. The method calculating the combined stiffness of the connection structure and effective contact area was proposed, which used conical symmetric mid plane. Combined with spring-damper unit, insulated screw was analysed by finite element simulation. The stator winding end as a whole system was for modal analysis. Corresponding natural frequency and vibration model were acquired. Hammering test method and modal testing system were applied to calculate the steam turbine end natural frequency. Compared with the experimental result, the text given …
Sigma Point Kalman Filters For Re-Entry Ballistic Target Tracking, Chunling Wu, Yongfeng Ju, Hu Ping, Chengdong Duan
Sigma Point Kalman Filters For Re-Entry Ballistic Target Tracking, Chunling Wu, Yongfeng Ju, Hu Ping, Chengdong Duan
Journal of System Simulation
Abstract: A new kind of sigma-point Kalman filter was proposed, quadrature Kalman filter(QKF), for the purpose of re-entry ballistic target tracking applications. The new filter linearized the nonlinear functions using statistical linear regression method through a set of Gaussian-Hermite quadrature points that parameterized the Gaussian density. The simulation experiment compared this new sigma point filter with EKF, DDF and UKF. Simulation results show that the estimation errors of all sigma point filters are all lower than that of EKF. The estimation error of QKF is lower than that of UKF, and its filtering credibility is almost same as that of …
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
Journal of System Simulation
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. According to the drawbacks of slow speed, big error, and small number of parameters in classical particle swarm optimization (PSO) and least square method, Coral Reefs Optimization (CRO) was proposed to solve the parameter identification problem in PMSM. In order to improve the identification accuracy, the parameter setting in CRO was adjusted. The mathematical model of PMSM in coordinate system was established, CRO, PSO and RLS were applied to identify parameters in PMSM, and were verified in Matlab/Simulink for comparison. The simulation …
Impact Analysis On Distribution Prediction Of Stipa Species Under Climate Change, Xuqing Tang, Jianlin Li
Impact Analysis On Distribution Prediction Of Stipa Species Under Climate Change, Xuqing Tang, Jianlin Li
Journal of System Simulation
Abstract: Based on the actual climatic data from 1981 to 2000 in Northeast China, the predicted climatic data and the actual distribution data of Stipa species, 12 climatic factor indicators affecting Stipa species distribution were extracted combining with similar biological and ecological characteristics of Stipa. By introducing Gauss Competitive Exclusion Principle and the statistical analysis method, a competitive stochastic mathematical model of the distribution of Stipa was built, and the corresponding algorithm was given. The forecast figures were obtained for the optimal, medium and general adaptable distribution of the five Stipa species from 2041 to 2050 and from 2091 …
Multi-Channels Converged Communication Method In Mobile Terminals Based On Virtual Link, Wenqiang Yao, Kaisheng Xu, Feng Jie, Yanqin Zhu, Lingzhi Li
Multi-Channels Converged Communication Method In Mobile Terminals Based On Virtual Link, Wenqiang Yao, Kaisheng Xu, Feng Jie, Yanqin Zhu, Lingzhi Li
Journal of System Simulation
Abstract: In the region overlapping multiple radio signals such as 3G/4G and Wi-Fi, the mobile terminal usually only chooses one of sigals to transmit data. It limits the access bandwidth of the mobile terminal, influences the upper applications running on the devices, and increases the costs of data communication. A new multi-channels converged communication method was proposed according to the analysis of existing technology. The method used the virtual link receiving all the packets sent by upper applications, and sent the packets simultaneously in multi-channels according to the status of every physical channel. The specific implementation processes were given about …
Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang
Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang
Journal of System Simulation
Abstract: Aiming at the non-linear, large inertial, uncertain parameters and multi-disturbances of the main steam temperature object in power plants, a mixed H2/H∞ optimal PID control scheme was designed. The multiplicative perturbed boundary of the H∞ and the effective range of the PID controller parameters were given under the system being closed-loop stability. An improved gravitational search algorithm was proposed in order to obtain optimum performance indicators. The effectiveness of the algorithm was supported through testing on typical test functions, then the algorithm was applied to optimize the parameters of the main steam temperature system Mixed …
Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue
Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue
Journal of System Simulation
Abstract: Recent years, with the rapid development and wide use of multi-granularity transport network, the pressure of backbone transmission network has been alleviated to some extent. However, the growing user demands to the Internet make network power consumption and bandwidth still face severe challenge. To deal with it, a bifurcation multi-path grooming algorithm was proposed and its associated bandwidth allocation strategy was devised to reduce power consumption and blocking rate. The proposed algorithm has been implemented by simulation and the evaluation results show that its performance is better than that of the benchmark.
Information Collaboration Model Of Cloud Computing Supply Chain Based On Multi-Agent, Wuxue Jiang, Xuanzi Hu, Minxia Liu, Yuqiang Chen
Information Collaboration Model Of Cloud Computing Supply Chain Based On Multi-Agent, Wuxue Jiang, Xuanzi Hu, Minxia Liu, Yuqiang Chen
Journal of System Simulation
Abstract: In order to improve the work efficiency of supply chain in cloud computing and avoid the risks of cloud computing, a cloud-based supply chain information coordination model was proposed. The model has two basic states which are online status and offline status, at online state the cloud computing center is responsible for coordination of the entire supply chain information, and at offline state each node continues to complete the transaction order through the history record and each node information in the cloud data center. Simulation based on Multi-agent shows that the order completion rate in offline status is …
Simulation Realization Of Netted Radar Data Fusion Systems, Zhijie Chen, Bin Rao, Yongzhen Li, Zhiwei Zong
Simulation Realization Of Netted Radar Data Fusion Systems, Zhijie Chen, Bin Rao, Yongzhen Li, Zhiwei Zong
Journal of System Simulation
Abstract: The system realization problem of netted radar data fusion systems was focused on. The design aspects of functionality, constitution and realization of netted radar systems were investigated. An architecture consisted of a CPCI (Compact PCI) industrial control computer and multiple digital DSP (Digital Signal Processing) processors was developed. The software workflows of each netting mode (centralized fusion and distributed fusion) were given and the simulation results related to typical scenarios were illustrated. The system can serve as a testing platform of efficiency evaluation relating to radar netting in the presence of electronic countermeasures.
Processing Method Of Space Locations Of Virtual Human Based On Wavelet Transform And Kalman Filter, Liang Feng, Zhili Zhang, Xiangyang Li, Zhibo Tang
Processing Method Of Space Locations Of Virtual Human Based On Wavelet Transform And Kalman Filter, Liang Feng, Zhili Zhang, Xiangyang Li, Zhibo Tang
Journal of System Simulation
Abstract: For the problem of inadequate smoothness of space location coordinate and large error of acceleration information, a processing method based on wavelet transform and Kalman filter was proposed to realize the valid control of virtual human' motion process after eliminating error points of motion data. Main acceleration information could be achieved based on the filter method of wavelet transform, and weak tracking Kalman filter was introduced to realize the amendment and smoothness of space location coordinates and acceleration information. Compared to the conventional Kalman filter method, the proposed method could achieve more exact and smooth space location and acceleration …
Design And Implementation Of Real Confrontation Oriented Simulation Models For Artillery Firepower, Baoyu Xu, Hongjun Zhang, Guo Hong, Guangming Xu
Design And Implementation Of Real Confrontation Oriented Simulation Models For Artillery Firepower, Baoyu Xu, Hongjun Zhang, Guo Hong, Guangming Xu
Journal of System Simulation
Abstract: Aiming at the training requirement of real confrontation, a simulation method based on real equipment for artillery firepower was proposed on the basis of the analysis of artillery firepower attacking behavior characteristics. By comprehensive use of the sensor, exterior ballistic calculation, satellite positioning, geographic information and damage assessment technology, using a embedded simulation method, a simulation model of artillery firepower fused information collection of artillery firing data, ballistic endpoint simulation and damage assessment was built, which could reflect systematically and comprehensively artillery firepower attacking process and the result of the strike in the actual combat environment. The model …
Semantic Knowledge Base Constructed From Chinese Online Encyclopedia, Liu Jian, Hongbo Xu, Huifeng Tang, Yantao Jia, Xueqi Cheng
Semantic Knowledge Base Constructed From Chinese Online Encyclopedia, Liu Jian, Hongbo Xu, Huifeng Tang, Yantao Jia, Xueqi Cheng
Journal of System Simulation
Abstract: The traditional construction methods about semantic knowledge base cost a lot of manpower and material resources. In addition, knowledge is difficult to acquire timely updates. In view of the deficiency, a new semantic representation model was put forward based on semantic ontology and hypergraph theory which was named dynamic knowledge network. Then, this model was described in detail, which included theoretical basis and model elements. Under the guidance of the model, the extraction methods and storage structure were studied about semantic knowledge. A Chinese semantic knowledge base was semi-automatic constructed using Chinese 360 Encyclopedia data which could efficiently provide …