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Articles 2731 - 2760 of 3977

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Lidar-Based Relative Position And Attitude Filtering For Unknown Targets, Song Liang, Li Zhi, Xingrui Ma Jun 2020

Lidar-Based Relative Position And Attitude Filtering For Unknown Targets, Song Liang, Li Zhi, Xingrui Ma

Journal of System Simulation

Abstract: A LIDAR-Based Extended Kalman Filter (EKF) for relative position and attitude estimation of unknowns target was proposed. The relative position and attitude between the target and a servicing spacecraft was solved by the Iterative Closet Point (ICP) using LIDAR point cloud data, which served as the EKF's measurement input. The system states of EKF include the relative attitude, angular velocity, inertia ratios, relative position, relative velocity, and the position/attitude of target measurement reference frame with respect to target principle frame. The proposed filter estimated the relative position and attitude as well as the unknown parameters of the target. …

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Coverage Path Planning Algorithm Based On Centroidal Power Diagram, Liping Zheng, Yajun Cheng, Lu Chang, Ting Liao Jun 2020

Coverage Path Planning Algorithm Based On Centroidal Power Diagram, Liping Zheng, Yajun Cheng, Lu Chang, Ting Liao

Journal of System Simulation

Abstract: Coverage path-planning algorithm is widely used in mobile sensor networks, multi-robot system, and other fields. The coverage path planning algorithm based on CCCPD(Centroidal Capacity Constrained Power Diagram) was studied. The classical Lloyd based generating method for Centroidal Power Diagram was extended to PD-Lloyd algorithm, which could be used for path-planning. Two optimizing strategies were proposed to enhance the credibility of the PD-Lloyd algorithm by considering the physical moving characteristics of individuals in the real scene. Experiments prove that the proposed algorithm has advantages of well stability and inherent collision-free characteristic, and can generate more optimal motion path.

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Research On Network-On-Chip Synthesis Flow Based On Hybrid Optimization Mapping Algorithm, Junyi Li, Yijun Liu, Le Jianliang Jun 2020

Research On Network-On-Chip Synthesis Flow Based On Hybrid Optimization Mapping Algorithm, Junyi Li, Yijun Liu, Le Jianliang

Journal of System Simulation

Abstract: To solve the problem of particle swarm optimization algorithm, which is easy to fall into local optimum in network on chip mapping, a hybrid optimization mapping Algorithm based on particle swarm optimization and genetic algorithm was proposed. It implemented GA and PSO separately with two groups, by the superior individuals from GA algorithm instead of the initial random particles from PSO algorithm, which not only maintained the diversity of the group but also improved search efficiency. Simulation results based on NS-2 show that the Network-on-Chip from the automatic generation tools have a good performance in network latency, throughput, and …

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Modeling Method Of Communication Networks Background Traffic For Counter-Command Simulation Training, Yunjun Lu, Fuli Cai, Zhou Ming Jun 2020

Modeling Method Of Communication Networks Background Traffic For Counter-Command Simulation Training, Yunjun Lu, Fuli Cai, Zhou Ming

Journal of System Simulation

Abstract: For the actual need of the communication networks modeling in combat command simulation, a modeling method of background traffic was proposed which was oriented towards counter-command simulation training under the guidance of basic idea of index modeling. The background traffic model was designed and the simulation verification was carried on. The results indicate that such method is able to generate background traffic rapidly and efficiently, meeting the requirement of simulation training.

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Research Of Partial Synchronization-Based Movement Modeling, Yang Mei, Xu Xiao, Peng Yong, Rusheng Ju, Kedi Huang, Jiao Peng Jun 2020

Research Of Partial Synchronization-Based Movement Modeling, Yang Mei, Xu Xiao, Peng Yong, Rusheng Ju, Kedi Huang, Jiao Peng

Journal of System Simulation

Abstract: An effective method of partial synchronization-based movement modeling was proposed according to the characteristics of running fast and aggregated modeling. A mediate-based ABS M&S framework was analyzed to provide movement mediator for movement modeling. The situations of simple movement and movement with sense interactions were investigated on the basis of movement directive and typical sensor models, and the movement models were built, and the updates and synchronizations of positions were analyzed. The research shows that, the partial synchronization-based movement modeling in high level military analytic simulation can be effectively built to reduce redundant updates and computations of movement.

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Research On Modeling Of Cyberspace Operation Based On Ebni Model Frame, Zhang Yang, Guangya Si, Yanzheng Wang Jun 2020

Research On Modeling Of Cyberspace Operation Based On Ebni Model Frame, Zhang Yang, Guangya Si, Yanzheng Wang

Journal of System Simulation

Abstract: The research about model framework of Cyberspace War was studied. On the base of EBNI, the model of Cyberspace Operation which faced to joint operation was researched, and then the direction idea of the entity model, the operation model and effect model were given. The “three-layer-viewer” of the entity in Cyberspace War based on capacity index was established, and the troop arranging model and equipment action model in Cyberspace War was researched. The effect model based on “mechanism+visualization” was set up.

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Complex Agent Network And Evolution Analysis For Multi-Lingual Competition, Shouming Zhang, Qunxiu Yu, Guihong Bi Jun 2020

Complex Agent Network And Evolution Analysis For Multi-Lingual Competition, Shouming Zhang, Qunxiu Yu, Guihong Bi

Journal of System Simulation

Abstract: Dynamic social network model for the competition among languages with agent based modeling method and social circles theory was proposed. The parameters of the topological structure of constructed social network were closer to the actual social network. The individual agents in the network can move, dead and reproduce, so the constructed social network was endowed with dynamic characteristics. Took the trilingual competition as an example, a theory was put forward which decomposes the individual competition into the three times of bilingual competition problems. Based on it, we presented a universal complex agent network method for multi-lingual competition and policy …

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Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method, Ruiye Jiang, Chao Tao, Songyan Wang, Yang Ming Jun 2020

Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method, Ruiye Jiang, Chao Tao, Songyan Wang, Yang Ming

Journal of System Simulation

Abstract: The local low-thrust trajectory optimization problem in interplanetary flight was obtained with pseudo spectral method. The dynamic equations of the low-thrust orbit and the design ideas of the indirect method to solve the low-thrust trajectory were introduced. How to use the pseudospectral method to solve the trajectory optimization problem was given. The GPOPS solver (General Pseudospectral Optimal Control Software) was used to design the optimal low-thrust orbit, and the performance indexes of designing the low-thrust orbit are chosen as time-optimal, fuel-optimal and energy-optimal condition. The GPOPS solver was used to obtain the initial values of the costate variables which …

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Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie Jun 2020

Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie

Journal of System Simulation

Abstract: There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the …

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System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment, Mingzhi Zhang, Ma Li Jun 2020

System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment, Mingzhi Zhang, Ma Li

Journal of System Simulation

Abstract: It is a difficult issue to design metrics of measure of the OSOS capabilities, which are emergent properties of OSOS. The concept of the OODA loop robustness was proposed and it was closely related to the overall capabilities of OSOS. A new method to measure the OODA loop robustness was discussed. The OSOS combat network mode was established l. Based on the weighted network, the Perron-Frobenius Eigenvalue (PFE) of the adjacency matrix of the network was used to measure the OODA loop robustness. Simulations show that there is a strong correlation between the PFE and the metric …

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Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery, Shaojian Song, Zhihao Wang, Xiaofeng Lin Jun 2020

Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery, Shaojian Song, Zhihao Wang, Xiaofeng Lin

Journal of System Simulation

Abstract: The inconsistency of cell in the electric vehicles' lithium-ion power battery pack leads to decrease the battery pack's capacity and lifetime, and even seriously affect the electric vehicles' performance. An active equalization system was designed based on the bi-directional Buck-Boost topology. A novel active equalization control strategy was proposed to balance the lithium-ion battery pack in the process of charging and static state, which extreme learning machine (ELM) was used to predict the state of charge(SOC), and SOC was employed as the main balance criterion. The simulation results show that the proposed bi-directional active equalization method can realize the …

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Simulation Analysis Of Beijing H1n1 Influenza Based On Spatial Clustering, Yitong Zhao, Mei Shan, Ma Liang, Zhang Wei Jun 2020

Simulation Analysis Of Beijing H1n1 Influenza Based On Spatial Clustering, Yitong Zhao, Mei Shan, Ma Liang, Zhang Wei

Journal of System Simulation

Abstract: Spatial cluster detection is widely used for disease surveillance, prevention and containment. In the early stages of illness, epidemics have similar symptoms to common diseases, making infectious disease data processing and analysis difficult. The Agent based modeling and simulation was used to generate H1N1 influenza data in Beijing. By designing a set of experiments, the epidemic monitoring results of two spatial clustering algorithms were analyzed. The results show that, using spatial clustering algorithms to analyze the simulation data of the epidemics can help to reveal the spread of the epidemic and play a positive role in the …

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Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp, Zuo Kang, Qiyuan Liu, Sun Jian Jun 2020

Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp, Zuo Kang, Qiyuan Liu, Sun Jian

Journal of System Simulation

Abstract: In order to analyze the causation and evolution process of early on-set breakdown at bottlenecks deeply, the lane changing motivation model was established based on the whole vehicles' trajectory data at Hongxu Road on-ramp bottleneck in Shanghai China. The results show that prediction accuracy of the lane change motivation model is more than 73%. On this basis, the on-ramp microscopic traffic flow simulation proto type system ORBSIM was established with calibrated critical gap and IDM model in the C++ platform. The simulation results show that the ORBSIM can recur traffic flow characteristics and early on-set breakdown phenomenon. For further …

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Research On 3d Scene Modeling Based On Uav And Lidar, Zhang Hang, Bin Chen, Hanzhang Xue, Zhengqiu Zhu, Rongxiao Wang Jun 2020

Research On 3d Scene Modeling Based On Uav And Lidar, Zhang Hang, Bin Chen, Hanzhang Xue, Zhengqiu Zhu, Rongxiao Wang

Journal of System Simulation

Abstract: Simulation is a significant method of emergency management research which demands the digital data of real scenes. Hardware was integrated to design the air borne point cloud data acquisition platform by using UAV as carrier, picking up the laser radar, IMU, etc. Furthermore, the platform was used to collect point cloud data and SLAM algorithm was used to establish real-time point cloud map. Moreover, point cloud map was utilized to establish 3D model. The problem of real scene 3D model construction was solved, designing and realizing point cloud processing and 3D modeling software, and a lot …

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Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang Jun 2020

Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang

Journal of System Simulation

Abstract: To research the combustion optimization scheme of air distribution type selection and low nitrogen oxides (NOx) emission in a 600MW supercritical wall arrangement tangential circle boiler, a modeling and simulating method which applied computational fluid dynamics (CFD) was proposed, the 3D grid model of the boiler is drawn by CAD software, the turbulence model, the radiation model and the inlet boundary condition of the boiler were determined, the boiler combustion simulation experiment was completed. The simulation results show that compared the change of velocity field, temperature field and NOx generation in the furnace under four type air distribution conditions …

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Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin Jun 2020

Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin

Journal of System Simulation

Abstract: Endpoint detection of speech in low signal-to-noise ratio plays a very important role in voice processing. For a speech signal that is polluted by additive noise, it is possible to suppress the noise and keep the original speech relatively constant. A dual-threshold speech endpoint detection algorithm was proposed based on the least mean squares error (LMS) adaptive filtering. Dual median filtering smoothing was performed before and after double-parameter double-threshold detection. Through the Matlab simulation, the speech endpoint detection method was compared with other methods. In the noise environment with low signal-to-noise ratio, the endpoint detection effect of speech has …

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Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian Jun 2020

Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian

Journal of System Simulation

Abstract: A new method to recognize phased array radar in different work modes was proposed based on multi-level modeling combined with Marginalized Stacked Denoising Auto-encoder. In order to analyze the change law of pulses intercepted by surveillance radar, multi-level modeling was proposed to model the pulses at pulse level, pulse group level and work mode level. Marginalized stacked denoising auto-encoder was trained to extract amplitude characteristics at the work mode level. SVM (Support Vector Machine) was added to the top of deep network to realize work mode identification of phased array radar. Qualitative experiments show that the new method is …

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Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming Jun 2020

Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming

Journal of System Simulation

Abstract: Due to the discrete event system with some characteristics like unfixed operation process, flexible entity state and other issues, a comprehensive validation method for discrete event simulation model based on qualitative and quantitative analysis was proposed. The evaluation index system was composed of four aspects that are the consistency of simulation results, logic correctness of events occurrence sequence, consistency of condition events occurrence probability and consistency of activity execution time respectively. A qualitative and quantitative calculation method for the bottom evaluation indexes was proposed. The qualitative analysis method was used to validate logic correctness of events occurrence sequence and …

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Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma Jun 2020

Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma

Journal of System Simulation

Abstract: In order to effectively deal with the concurrent behavior of cooperative virtual maintenance for the same object, a dynamic allocation scheme was proposed to complete the maintenance operation. Before the maintenance task was started, the maintenance steps were planned, and the operation rights were allocated dynamically according to the characteristics of each maintenance step. The idea of allocation and recovery of dynamic operation rights were proposed in multi person cooperative maintenance, discussing the method of ensuring the state uniqueness of maintenance personnel in the process of simulation maintenance. The process of dynamic rights allocation was simulated by colored …

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Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang Jun 2020

Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang

Journal of System Simulation

Abstract: In recent years, with strong robustness to fast irregular motion, the method of human motion representation based on dense trajectories has been used more and more in the field of behavior recognition. However, the relative motion of the background caused by the motion of the camera has a great influence on the extraction of the trajectories. In order to estimate the camera motion, the speed up robust feature (SURF) descriptor was used to match the feature points of each frame. Since the human motion and the camera motion were not same, human detection was added to remove inconsistent matches. …

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Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu Jun 2020

Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu

Journal of System Simulation

Abstract: The real-time prediction of the air contaminant dispersion in chemical industry park is important to the emergency management of air pollution accident. Due to the unknown source terms and the error of input parameters in the atmospheric dispersion model, the accuracy of traditional simulation is limited. A data driven atmospheric dispersion simulation based on source estimation and particle filter was proposed. Based on the results of the source estimation, particle filter was applied to assimilate the UAV observation into the dispersion model in real time to calibrate the system state and obtain more accurate prediction results. Experiments show that …

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Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the purpose of improving the speed regulation of permanent-magnet synchronous motor (PMSM) under disturbances and uncertainties, a nonlinear control algorithm based on nonsingular terminal sliding mode control method (NTSMC) was proposed. A speed tracking controller was presented by introducing a nonsingular terminal sliding mode manifold, which could not only solve the singularity problem but also make the manifold converge to zero in finite time. For the sake of reducing chattering phenomenon caused by discontinuous switching term, which usually contained sign function, a hyperbolic tangent function was utilized accounting for its continuity. Compared with the PI control method, the …

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Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao Jun 2020

Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao

Journal of System Simulation

Abstract: KNNR (K Nearest Neighbor Based Nonparametric Regression) Method was used for short-term traffic forecast and the choice of state vector was studied. The result shows that taking the data of some historical periods as the state vector has a good prediction. Although the correlation of the historical passenger flow between different Rail transit sites is significant, it neglects the fact that the passengers enter each station is independent. So taking the historical passenger flow of adjacent sites as the state vector is not appropriate.

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Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of complexity, constraint in discrete manufacturing workshop, in order to minimize the total energy consumption of the workshop as the target, discrete knowledge pigeons algorithm was proposed to solve discrete workshop energy efficiency optimization. In this algorithm, parameter knowledge was introduced into the optimization process to balance local search and global search, and the convergence and optimization ability of the algorithm were improved. The discrete process was added to the pigeons algorithm, which not only preserved the convergence and optimization ability of the algorithm, but also made the algorithm capable of dealing with discrete problems. …

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Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie Jun 2020

Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie

Journal of System Simulation

Abstract: There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the …

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Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …

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Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji Jun 2020

Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Due to the characteristics of long time-consuming, energy consumption and high concentration in rubber tire vulcanization process, which is the tire production process bottlenecks process, a discrete distribution estimation algorithm (EDA) was proposed to solve the problem of vulcanization shop scheduling optimization with minimum maximum completion time as the optimization target. The algorithm was tested by different examples, and it was compared with the genetic algorithm and the harmony search algorithm. The experimental results show that the EDA algorithm is superior to the genetic algorithm and the harmony search algorithm in the quality of the solution and convergence speed, …

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Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji Jun 2020

Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to recognize rolling bearing's fault types accurately according to the optimal characteristics of fault vibration signal of rolling bearing, a rolling bearing fault diagnosis method was proposed based on orthogonal matching pursuit algorithm and the optimized wavelet kernel extreme learning machine method. The OMP algorithm was used to de-noising the vibration signal of the bearing. The wavelet packet decomposition of the signal after de-noising was used to obtain the frequency band energy, and the fault characteristics were extracted. By using an improved whale optimization algorithm based on von-neumann, the penalty factor and kernel parameter of wavelet kernel …

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Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei Jun 2020

Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei

Journal of System Simulation

Abstract: In the large-scale simulation of war game, the air mission is the focus of the commander's attention. The rapid, accurate and automatic recognition of air missions is the prerequisite and basis for intelligent decision making. The rapid development of deep learning technology provided a practical and feasible solution for the extraction of complex battlefield posture features, and provided technical support for studying air mission recognition. The research progress of the traditional mission recognition research method and the mission recognition method based on the deep learning was summarized. The three methods of deep learning of Convolution Neural Network (CNN), Long-short …

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Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang Jun 2020

Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang

Journal of System Simulation

Abstract: In order to study the impact of the cabin air conditioning supply velocity on CO diffusing in the fire smoldering phase and the effect of the transportation of CO to human body, a simulation model of A320 aircraft cabin was established, and velocity field and CO concentration field under the different air supply velocity were simulated based on the fluid dynamics control equations. The relationship between the air conditioning supply velocity and the value of CO concentration as well as the diffusion area was obtained by the analysis of the transportation of CO in different directions. The drainage efficiency …

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