Runway Icing Prediction Method and System Development Based on ActiveX Controls

Bin Chen,Xian Guo,Linqing Jiao,Liwen Wang,Dewei Gao

doi:10.1109/access.2019.2948511

Bin Chen, Xian Guo + Show 3 more

Open Access

https://doi.org/10.1109/access.2019.2948511

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Abstract

Icing on airport runway is an important issue that affecting the operation of the airport. The research on runway icing is of great significance for ensuring the operation and safety of the airport. Firstly, in this paper, the runway temperature and ice thickness were studied by considering the underground temperature. Then combined with industrial configuration software and ActiveX controls, the runway icing prediction system was designed and verified. Through the analysis of the temperature field inside and outside of the runway as well as the studies of the meteorological factors around the surface and the runway heat exchange, the prediction equation of the runway temperature was obtained. Based on the equation, by using the predicted values of temperature and other factors, the BP neural network was trained to predict the ice thickness of the road in future. Furthermore, this paper designed an airport runway icing prediction system which installed with ActiveX controls where embedded with temperature prediction algorithm and neural network training algorithm. The system used multisensor to collect data, and wireless data transmission via GPRS DTU device. The virtual interface software and the configuration software embedded with algorithm were installed on the industrial PC to realize the prediction. By comparing the prediction of ice thickness with or without underground temperature, the average prediction accuracy of ice thickness by considering underground temperature was 13% higher than that without considering underground temperature, which verified the accuracy and feasibility of the ice prediction system.

Highlights

With the continuous improvement of national comprehensive strength and people’s living standards, air travel, fast and convenient, has gradually become the choice of more people
2) FUNCTIONS OF ActiveX CONTROLS For the prediction of temperature formula derived from the above, the time and depth were 2 variables can be selected according to the situation, and by using BP neural network prediction algorithm of ice thickness, complex result calculation of weights and thresholds requires a number of variables
Aiming at the problem of icing prediction of airport pavement in winter, this paper proposed an icing prediction method of airport pavement considering underground temperature, and established a prediction model of runway temperature based on energy conservation

Summary

INTRODUCTION

With the continuous improvement of national comprehensive strength and people’s living standards, air travel, fast and convenient, has gradually become the choice of more people. B. Chen et al.: Runway Icing Prediction Method and System Development Based on ActiveX Controls surface, which provided a reference for further research on the use of heat flux. Nuijten et al [3] established the runway thermodynamics model of Oslo airport in Norway to realized the temperature prediction, and it had been operating at the airport for a long time. In this paper, considering the following characteristics of the airport runway: a) located in the open area with no shelter around, b) the area and intensity of solar radiation during the day are large, the temperature and ice thickness were studied. By considering temperature prediction value,underground temperature and other factors, the prediction of ice thickness on airport runway was obtained by using BP neural network. T0n is the pavement temperature at the current moment; T1n is the temperature at the depth of h at the current moment; Gn0 is the pavement heat flux at the current moment

SIMULATION OF THE RUNWAY TEMPERATURE PREDICTION MODEL

FLOW OF ICING PREDICTION ALGORITHM FOR

Findings

CONCLUSION