Evaluation Method for Operation Level of Mining Truck Drivers
To improve the driver's operating level,a complete driver's operating level evaluation method was proposed.By using IoT data collection technology,dynamic collection of truck transportation data was achieved.Safety,energy consumption,and efficiency were proposed as three primary indicators for driver operation evaluation,and corresponding secondary evaluation indicators were established.Improved principal component analysis and K-means clustering algorithm were used to construct models for experimental samples.The constructed evaluation model can effectively evaluate the driver's operating level,and the obtained reference values for driver's operating standards can provide reliable references for improving driving management level and operating techniques.
open-pit minetruck transportationoperation level of driversimproved principal component analysisK-means clustering algorithmevaluation method
NETL
NSTL
万方数据
维普
