Researchon fuel consumption law and application of open-pit mine truck based on data-driven
XING Zhaobo
ZHANG Ruixin
TAO Yabin
Abstract：In order to reveal the law of fuel consumption of mining trucks in strip mines and promote the cost reduction and energy saving of truck transportation in strip mines.Taking 160t truck of a large open-pit mine in China as the research object,the scene data of truck transportation in strip mines are accurately collected by multi-source data sensing system.By using descriptive statistics and regression analysis method,the influence of road slope,average speed,load state and idle state on truck fuel consumption is clarified.Based on this law,the transportation path optimization with the goal of minimum fuel consumption is carried out.The results show that compared with the original path,the fuel consumption of the two optimization paths is reduced by about 17.59%and 13.05%respectively,and the optimization effect is obvious.The research results can provide ref-erence for the preparation of mining and drainage plan,truck scheduling and maintenance.
Keywords：mining truckdata-driventruck fuel lawpath optimization
Publication Date：2025-08-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 84-89 )