Науковий вісник НГУ

Algorithm of the dynamic vehicle weighing system

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Geotechnical and mining mechanical engineering, machine building

Last Updated on 05 November 2015

Published on 05 November 2015

Hits: 4178

Authors:

Haining Zhang, Xi'an Technological University, School of Electronic Information Engineering, Xi'an 710021, Shaanxi, China.

Linna Sun, Xi'an Technological University, School of Electronic Information Engineering, Xi'an 710021, Shaanxi, China.

Abstract:

Purpose. To develop a stable and high-precision algorithm of the dynamic vehicle weighing.

Methodology. The model of the dynamic vehicle weighing systemwas created. Several kinds of noise that affect the accuracy during measuring were analyzed. The new algorithm of WIM (Weight-In-Motion)was suggested. High-frequency noise signals were eliminated by Butterworth low-pass digital filter, and then fitted by least squares method based on Levenberg-Marquardt optimization algorithm. This allowed the separation of dynamic load and calculation of the static axle.

Findings. The results of application of the algorithm for dynamic vehicle weighing system haveproved that the proposed algorithmis of high accuracy and steadiness. Based on the analysis of weighing results we adopted the algorithm of the WIM systems.

Originality. The optimization algorithm method has been designed, which can improve the measurement accuracy and reduce the restrictions of weighing.

Practicalvalue. The suggested dynamic vehicle-weighing algorithm may allow controlling the vehicle overload and overrun.

References:

1. Fu Liwei (2008), “The analysis of the cause of the damage of overloading of vehicles on the highway pavement”, Modern Enterprise Culture, (8), pp.88–89.

2. Fan Lihui(1998), “Vehicle dynamic weighing technology”, South Africa trucking, no. 2, pp.5–7.

3. Axel Liljencrantz, Raid Karoumi and Per Olofsson, (2006), “Implementing bridge weigh-in-motion for railway traffic”,Computers and Structures, vol.85, no.1, pp.80–88.

4. Rowley, C.W., O’Brien, E.J. and Gonzalez, A.(2009), “Experimental Testing of a Moving Force Identification Bridge Weigh-in-Motion Algorithm”, Experimental Mechanics, vol.49,no.5, pp.743–746.

5. Xu Xiangtian (2009), “Afraid of punishment by overloading the driver”, Traffic and Transport, vo.1, no.4, pp.67.

6. Sinaha, N.K. and Kuszta, B.(1993), “Modeling and identification of dynamic systems”, Nostrand Company Inc.

7. W.-Q.Shu (1993), “Dynamic Weighting under Nonzero Initial Conditions”, IEEE Transaction on Instrumentation and Measurement,vol.42, no.4, pp. 27–30.

8. Niedzwiecki, M. and Wasilewski, A. (1996), “Application of adaptive filtering to dynamic weighing of vehicles”, Control Eng.Practice,vol.4,no.5, pp. 635–644.

9. Hanshan Li (2015),“Limited magnitude calculation method and optics detection performance in a photoelectric tracking system” ,Applied Optics, vol.54, no.7, pp.1612–1617.

10. Karim Helmi, Baidar Bakht and Aftab Mufti (2014), “Accurate measurements of gross vehicle weight through bridge weigh-in-motion: a case study”, Journal of Civil Structural Health Monitoring, vol.4, no. 3, pp.195–208.

2015_04_zhang
2015-11-03  603.36 KB  1151

• < Prev