Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine

Trucking is an important production link in most open-pit mines, and its transportation cost accounts for more than 50% of the total production cost of open-pit mines. The quality of the driver’s driving behavior plays a crucial role in the fine control of the production cost of transportation. Diff...

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Main Authors: Zhao Zhang, Ruixin Zhang, Jiandong Sun
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/20/11597
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author Zhao Zhang
Ruixin Zhang
Jiandong Sun
author_facet Zhao Zhang
Ruixin Zhang
Jiandong Sun
author_sort Zhao Zhang
collection DOAJ
description Trucking is an important production link in most open-pit mines, and its transportation cost accounts for more than 50% of the total production cost of open-pit mines. The quality of the driver’s driving behavior plays a crucial role in the fine control of the production cost of transportation. Different from the previous evaluation studies of drivers’ driving behavior in open-pit mines, which mainly took safety driving behavior index as a factor variable, this paper puts forward a comprehensive evaluation method of driving behavior of mining truck drivers, which takes both safety driving and transportation cost as factor variables. Taking the mining truck as the research object, firstly, a scientific and reasonable data collection scheme is established, and the data information characterizing the transport state of the mining truck is obtained through data collection and analysis. Secondly, the RKNN algorithm of time series prediction and the wavelet analysis method are used to achieve noise reduction and missing processing of the original data so as to obtain accurate sample data. Then, taking the principal component analysis method as the entry point, through constructing the principal component analysis theory model, the key index system representing safe driving behavior and transportation cost is established to realize the comprehensive evaluation of the driving behavior of mining truck drivers, and the evaluation system of “standard driving”, “prudent driving” and “aggressive driving” of mining truck drivers is formulated. The results show that after noise reduction, the accuracy of mining car operation data can be improved by 7~12%, and the transportation cost can be reduced by about 5% after the driver’s operation behavior is standardized.
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spelling doaj.art-362d54fd4b7e4e3ab759d09edfdca6a12023-11-19T15:34:23ZengMDPI AGApplied Sciences2076-34172023-10-0113201159710.3390/app132011597Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit MineZhao Zhang0Ruixin Zhang1Jiandong Sun2School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaMine Safety Institute, North China Institute of Science and Technology, Langfang 065201, ChinaTrucking is an important production link in most open-pit mines, and its transportation cost accounts for more than 50% of the total production cost of open-pit mines. The quality of the driver’s driving behavior plays a crucial role in the fine control of the production cost of transportation. Different from the previous evaluation studies of drivers’ driving behavior in open-pit mines, which mainly took safety driving behavior index as a factor variable, this paper puts forward a comprehensive evaluation method of driving behavior of mining truck drivers, which takes both safety driving and transportation cost as factor variables. Taking the mining truck as the research object, firstly, a scientific and reasonable data collection scheme is established, and the data information characterizing the transport state of the mining truck is obtained through data collection and analysis. Secondly, the RKNN algorithm of time series prediction and the wavelet analysis method are used to achieve noise reduction and missing processing of the original data so as to obtain accurate sample data. Then, taking the principal component analysis method as the entry point, through constructing the principal component analysis theory model, the key index system representing safe driving behavior and transportation cost is established to realize the comprehensive evaluation of the driving behavior of mining truck drivers, and the evaluation system of “standard driving”, “prudent driving” and “aggressive driving” of mining truck drivers is formulated. The results show that after noise reduction, the accuracy of mining car operation data can be improved by 7~12%, and the transportation cost can be reduced by about 5% after the driver’s operation behavior is standardized.https://www.mdpi.com/2076-3417/13/20/11597open-pit minemining truckdriving behavior evaluationprincipal component analysis
spellingShingle Zhao Zhang
Ruixin Zhang
Jiandong Sun
Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine
Applied Sciences
open-pit mine
mining truck
driving behavior evaluation
principal component analysis
title Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine
title_full Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine
title_fullStr Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine
title_full_unstemmed Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine
title_short Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine
title_sort research on the comprehensive evaluation method of driving behavior of mining truck drivers in an open pit mine
topic open-pit mine
mining truck
driving behavior evaluation
principal component analysis
url https://www.mdpi.com/2076-3417/13/20/11597
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AT ruixinzhang researchonthecomprehensiveevaluationmethodofdrivingbehaviorofminingtruckdriversinanopenpitmine
AT jiandongsun researchonthecomprehensiveevaluationmethodofdrivingbehaviorofminingtruckdriversinanopenpitmine