Automatic Tamping Control Technology for DCL-32 Tamping Truck and Its Application

Abstract

With the leapfrog development of the railway industry in China, the operating speed and density of the railways increase gradually, and large tamping machinery for track maintenance is used more widely. Traditional manual tamping truck has high requirements for operators and high working intensity. In order to achieve the goal of reducing the intensity of manual work and ensuring the efficiency of on-site construction, this paper proposes a design scheme of intelligent automatic tamping system based on DCL-32 tamping truck without changing the function and mechanical structure of the original machine, and focuses on the analysis of the railway track sleeper detection and positioning of the pick. In this scheme, the YOLOX model is used for image detection, and the recognized results are checked with the output mileage of laser ranging sensor, to complete the detection of track sleepers quickly and accurately. Based on the historical data of tamping truck braking distance during railway maintenance, this paper fit a braking relationship curve to predict the tamping position. The results of field prototype loading test show that the speed of automatic tamping is equal to that of manual tamping under single and double tamping modes. The control scheme of automatic tamping system proposed in this paper has a good trial effect, which lays a foundation for subsequent product promotion.

Keywords

• laser detection
• yolox model
• image recognition
• dcl-32 tamping truck
• automatic tamping