Abstract: With the attention of the power grid operation and maintenance department to online monitoring and intelligent operation and inspection, intelligent terminals with various monitoring functions are gradually popularized. For the intelligent sensors put into use, a mature platform and evaluation method are urgently needed to check and evaluate the core performance indicators of intelligent terminals. In this paper, the sensitivity, linearity, data stability, reliability（environmental adaptability and EMC）, and battery power consumption life of partial discharge（PD） intelligent sensing terminal are taken as the research objects, and the evaluation method of each index is proposed. Finally, combined with the entropy method and grey theory, a quantitative evaluation system for PD intelligent sensing terminal is established, and a case study is given. Through the cases of eight intelligent terminals, the objective entropy method is used to give weight, and the grey correlation analysis method is used to calculate the correlation coefficient of each index, and the comprehensive score of eight intelligent terminals is calculated. The highest score is 77.1%, and the lowest score is 44.8%, and the quantitative score based on the grey model can effectively evaluate the PD intelligent sensing terminal. The research results of this paper guide the quantitative evaluation of parameters and performance indicators of PD intelligent sensing terminal equipment.