Rational selection of monitoring parameters is a key task of developing vehicle intelligent terminal for modern mechanical equipment. According to the fact of the existing problems in selecting monitoring parameters, a grey clustering model for optimizing and selecting the monitoring parameters is put forward. Monitoring parameters of a minitype hydraulic excavator are studied and the grey clustering model is established, discussed and verified. The results showed that the model meets the requirement of practicability and universality.