To solve the problems of one-sided evaluation method

single index and incomplete system of the current asphalt pavement mixing field quality state

and provide a sound evaluation and prediction system

on the basis of grey model theory and the analysis of grey system characteristics of mixing plant quality management

a grey model analysis program was developed

with the quality management index system constructed

and the weighting method of index weight analyzed. In the present study

the construction method of index evaluation feature vector is proposed

the reference correlation coefficient of characteristic data sequence analyzed

and the method of quality evaluation and ranking defined. Through the analysis of grey system characteristics of mixing plant quality management

we established the grey model analysis program. Combined with specific examples

we construct the quality management index system

and analyze the weighting method of index weight. This paper puts forward the construction method of index evaluation feature vector. In this paper

the reference correlation coefficient of characteristic data sequence is analyzed

and the method of quality evaluation and ranking is defined. Through the comparative analysis of resolution coefficient

the authors believes that a reasonable value of resolution coefficient can improve the discrimination of evaluation objects. By studying the influence of the discrimination coefficient parameter of grey model on the evaluation result of quality state

it is found that the discrimination coefficient ρ can be used as the index of discrimination control

especially in the case involving reward and punishment and performance score measurement. This method can significantly improve the scientificity and operability of quality management evaluation of asphalt pavement mixing plant. This paper enriches the technical methods of pavement engineering quality management.