Study on Dynamic Measurement of Weighing Rail Oriented to Green Logistics

Weighing rail uses shearing force measurement method and wheel scan detection technology. It can realize effective monitoring of overload and unbalanced load. For improving dynamic weighing accuracy and detection speed of weighing rail, based on analyzing of wheel scan detection signal and traditional detection signal processing method's shortage, according to too short measuring section of weighing rail, Hilbert-Huang transform was proposed to deal with wheel scan detection signal data. Experience-based mode decomposition (EMD) algorithm was applied for the signal decomposition with MATLAB program, and weights of wheel were obtained by residue. The results show that for 83460kg loaded vehicle the detection speed of weighing rail is up to 11m/s and weighing accuracy reaches ±0.4%. The detection speed is 2∼3 times that of past. Weighing accuracy is above national standards. It meets the needs of high efficiency and precision of dynamic measurement for logistics in current green logistics.

• Record URL:
  https://doi.org/10.1061/41139(387)153
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411391
• Supplemental Notes:
  • © 2010 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Hong
  • Wu, Qingding
  • Xiang, Shilong
• Conference:
  • International Conference of Logistics Engineering and Management (ICLEM) 2010
  • Location: Chengdu , China
  • Date: 2010-10-8 to 2010-10-10
• Publication Date: 2010-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1113-1119
• Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration

Subject/Index Terms

• TRT Terms: Loads; Logistics; Measurement; Monitoring; Railroad tracks; Signal processing; Speed; Wheels
• Identifier Terms: MATLAB (Computer program)
• Subject Areas: Freight Transportation; Planning and Forecasting; Railroads; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01525622
• Record Type: Publication
• ISBN: 9780784411391
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:48PM