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Table of Content

    22 April 2017, Volume 35 Issue 2
    Civil Aviation
    Multi-aircraft rerouting path planning under dynamic severe weather condition
    QI Yannan, WANG Xinglong, LI Qingyang
    2017, 35(2):  1-4. 
    Asbtract ( 1893 )  
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    Multi-objective rerouting path planning method is put forward to solve multi-aircraft disturbance caused by severe weather. Rerouting environment based on gird is built at first, changes of weather and aircraft maneuver are considered. Then multi-objective optimization model is proposed with fewer turn, minimum length of trajectory and minimum rerouting area as its targets. Genetic algorithm is improved to solve the model. Finally,Xi'an control area is studied to verify the method effectiveness with actual flight data. Results show that the method used to get multi-aircraft trajectory is effective to reduce delay and can meet the demands of separation.

    Short-term terminal airspace delay prediction based on weather impacted traffic index
    ZHANG Ming, ZHANG Ming, LIU Kai, ZHAO Min
    2017, 35(2):  5-10. 
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    Aiming at the flight delay in terminal airspace caused by the changes of short-term weather conditions, radar echo PPI(plane-position indication)and RHI(range-height indication)are firstly used to classify the precipitation grades, then the contour of different grades of convective clouds is extracted by image recognition method.Secondly, the corresponding time of traffic flow information is matched to the convective clouds, and the calculation method of 3D WITI (weather impacted traffic index)based on different levels of precipitation is put forward.Finally, according to air traffic control rules, a short-term delay prediction model is proposed through exponential regression analysis between WITI and delay time under different control intervals or rerouting path distance.Simulation results show that under the condition of control interval adjustment and rerouting, compared with the linear regression model, the fit goodness of exponential regression model increases 1.6%~4.3%, and the standard error of estimate is closed to 0, indicating that the exponential regression delay prediction model can better reflect the actual delay situation of terminal airspace under the influence of precipitation.

    Single point service test and analysis of BeiDou regional navigation satellite system
    LIU Ruihua, CHEN Yingchao, KONG Yueming, YIN Haoyuan
    2017, 35(2):  11-15. 
    Asbtract ( 1988 )  
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    The basic performance indicators and evaluation methods of satellite navigation system are introduced. Pointmeasuring accuracy is analyzed based on CEP and 2DRMS. Change relationship between DOP and number of visible SV is analyzed with actual measurement data. Different flight phase availability and time percentage of service continuity of receiver autonomous integrity monitoring are counted and analyzed at the measuring point.Experimental data analysis shows that the number of SV is greater than 7, which can meet the requirement for SV number in user positioning process. Under the condition of 95% probability, the 3D positioning accuracy is better than 20 m, the horizontal accuracy is better than 15 m, the vertical precision is better than 20 m, this service precision satisfies the requirements of navigation performance of NPA flight phase.

    Discussion on integration of flight inspection and accurate navigation
    JI Peng
    2017, 35(2):  16-19. 
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    Flight inspection is a basic condition to ensure the accuracy and reliability of navigational equipment by checking and modulating the signal errors to minimum in order to improve flight safety and efficiency. At present, GPS positioning and survey signal are adopted as the sole source, but actually, GPS itself also has errors possibly with real time positioning or navigation device coordinate errors introduced by surveying. Once the positioning error signal source appears, the induced error will result in wrong guidance for flight. Based on theoretical analysis of GPS limitations as datum reference, a set of VOR over & orbit fly procedure is developed by a mathematical model to eliminate the positioning defects from traditional GPS, making effort to improve VOR flight inspection accuracy by inter-checking and to eliminate errors.

    Aircraft engine performance parameter prediction based on ensemble ELM model
    XU Jianxin, HOU Zhenhua
    2017, 35(2):  20-23. 
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    In order to predict performance parameters of aircraft engine accurately, a dynamic ensemble extreme learning machine (ELM)model is proposed. Ada Boost.RT algorithm is used to integrate ELM to construct the ensemble model. Aiming at the limitation of static threshold in original AdaBoost.RT algorithm, a self-adaptive and dynamic adjusting method is used to improve the forecasting precision. A given method makes adjustments to the threshold by comparing RMSE of two neighboring iterations. Finally, compared with single ELM model and original ensemble ELMmodel, dynamic ensemble ELM model is used to predict EGTM. Results show that the improved model is better than other models for the performance parameters prediction of aircraft engine.

    Research on influence of radial total pressure distortion on forward and backward fan flow
    DENG Tian, LEI Pan, GAO Xuwan, WU Yuhao
    2017, 35(2):  24-30. 
    Asbtract ( 1865 )  
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    Modelling and simulation are used to study a small turbofan engine with high bypass ratio. With four situations of inlet total pressure distortion of equivalent surface of sector angles 60°, 90°, 120°and 150°, the influence of inlet radial total pressure distortion on forward and backward fan flow of turbofan engine is studied. It is found that the total pressure distortion index is bigger for backward fan part, and it is proved that the unstable level of backward fan part is bigger than forward fan part because of fan rotation; compared with tangential speed and axial speed,the radial speed distortion support is influenced more by inlet radial total pressure distortion; for the flow field of forward fan part, the total pressure distortion has the same type of increase for the four different inlet situations,but it is not the same for backward fan part which has the biggest value area.

    Research on joint stiffness model of airport rigid pavement based on deflection coefficient
    QI Chunxiang, YANG Jian, CUI Xiaoyun, ZHANG Runfeng
    2017, 35(2):  31-34,40. 
    Asbtract ( 1948 )  
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    Based on ABAQUS finite element, with ‘contribution of the area’as stiffness distribution principle, the joint load transfer coefficient of airport cement concrete slab and its relationship with joint stiffness are studied. Results indicate thatthe load transfer coefficient is not significantly affected by reaction modulus, load and thickness of the foundation. But its relationship with joint stiffness logarithm is stably significant. Further more, combined with cement concrete slab model test, parameters such as bending stress and shear stress of dowel, and deflection of load slab and load transfer slab are measured; the load transfer coefficient as well as the joint stiffness are determined. By comparing with theoretical results, the joint stiffness inversion model based on deflection load transfer coefficient is established, providing reference for the design of airport rigid pavement joints.

    Design of airport vehicle monitoring system based on Android
    FEI Chunguo, WANG Shuai, HU Jiangyu
    2017, 35(2):  34-40. 
    Asbtract ( 1954 )  
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    Along with the explosive growth of docking aircrafts, required vehicles increases a lot, resulting in more difficulties for airport management, manual management tasks are getting arduous and chaotic. Android-based vehicle monitoring terminal of airport is presented with solutions to current problems. This data terminal system is used for airport ground real-time monitoring of special vehicles, collecting their working state information and route position, and giving feedback to monitoring center through a wireless local area network for storage and processing of data. Main function modules and core technology design of the current system are elaborated.Meanwhile, the design of hardware system and software architecture, GIS platform secondary development and GPS data acquisition algorithms and other tasks are completed. Test result shows that the system design is reasonable, stable and reliable.

    Design of airport baggage cart measurement system based on Hybrid network
    ZHANG Jihong, HU Jiangyu, WANG Shuai
    2017, 35(2):  41-45,64. 
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    Aiming at inaccurate measurement of airport baggage car service hours and the volume of services, a baggage transfer vehicles measurement and management system is designed based on ZigBee-WLAN/Ethernet hybrid network. Primarily using the sensor nodes mounted on vehicles to collect the airport environment temperature,fuel tanks, support angle pressure, the distance of top rubber tube and aircraft cargo door, the number of baggage and other information is transferred to monitoring center for working out time nodes and storing through ZigBee-WLAN/Ethernet hybrid network. So the measurement of vehicle service hours and the amount of service will be achieved. This system can accurately collect baggage car sensor information, and stably transfer to the ground control center, providing automated, convenient and accurate measurement for airlines and airports. This system has certain practicability and referencial value.

    Single airline passenger arrival model in security area based on GMM
    YU Zhijing, BAO Linlin, LUO Qian
    2017, 35(2):  46-50. 
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    GMM(Gaussian mixture distribution model)is used for a certain airline passenger arrival distribution fitting analysis. The extremum clustering method is adopted for the premiere distribution inspection of EM algorithm,parameter solution can be got after several iterations. In experimental part, a real airline check-in output data is adopted for experimental verification. Results show that the fitting precision of Gaussian mixture distribution is 90% or more. Compared with common fitting methods, the fitting precision is improved by more than 15%.Compared with extremum clustering and commonly used K means clustering of chi-square Gaussian mixture distribution model, the extremum clustering model has higher accuracy by about 5%.

    Engineering and Technology
    Design of embedded finger vein recognition system
    SU Zhigang, MA Yongbin, YANG Jinfeng
    2017, 35(2):  51-54. 
    Asbtract ( 1888 )  
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    The research of embedded finger-vein recognition system is beneficial to the application and popularization of finger-vein recognition device. A finger-vein recognition system based on embedded Linux platform is designed and implemented, the construction of system hardware platform and the software development are discussed in details. The main contributions are as follows: a. the system structure is optimized; b. finger-vein image preprocessing, feature extraction and recognition algorithm are embedded in the system; c. system dynamic register function is realized; d. the traditional feature data storage mode is improved, and the new embedded database technology is adopted. Experimental results show that the system is stable and reliable, and has a higher recognition efficiency.

    Management Science
    Low altitude rescue demand forecasting based on K-means CBR
    YU Hui, ZHANG Ming, YU Jue
    2017, 35(2):  55-59. 
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    Aiming at the fuzziness of supplies demand in the process of low altitude rescue, a CBR(case based reasoning) prediction algorithm based on K-means is proposed. Firstly, the attributes of case are reduced through rough set,the weight values of attributes are calculated. Next, a cluster analysis is made on simplified case through DB Index K-means algorithm; then, correlation coefficient is calculated between the current case and each case in the nearest group, retrievaling the target case with maximum similarity. Finally, according to the supplies of target case, demand of the current case is obtained. A real seismic data is conducted to compare the accuracy of the current approach and genetic optimization BP algorithm. Result shows that the K-means CBR algorithm has higher precision.

     

    Study on relationship among aircraft utilization, loading factor and profit of airline
    XU Zhiwu
    2017, 35(2):  60-64. 
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    Short-term aircraft utilization forecasts can guide the changes of flight schedule and improve the flight loading factors and profits. The airline aircraft utilization and relationship among other indicators are analyzed,establishing the mathematical model by using multiple regression analysis in econometrics. Example calculation results demonstrate that utilization, loading factors and profit appear mathematical relationships, this method can be used to predict future aircraft utilization and the average error is less than 2%.