**4. Conclusions**

In this paper, the dynamic pollution prediction model of insulators based on atmospheric environmental parameters was built, and insulator structure coefficients were proposed based on the model.

Firstly, the insulator dynamic pollution model based on meteorological data (PM2.5, PM10, TSP, and wind speed) was proposed, and natural pollution tests were also conducted as a verification test. Furthermore, insulator structure coefficients *c*1 and *c*2 were then obtained, and its influence factors were discussed. Rainfall has a significant influence on the insulator structure coefficient; plus, *c*1 and *c*2 increase to a certain extent during the rainfall period. Further calculation of insulator structure coefficients show that it varied with the change of wind speed, particle size and other factors, and there is no obvious changing rule. This result indicates that insulator structure coefficients are dynamic.

At last, insulator structure coefficients *<sup>c</sup>*1, *c*2 were calculated; besides, it can be seen that the calculated error of insulator structure coefficients is acceptable, with the average *re* at 9.0% (*re*1) and 13.5% (*re*2), which verifies the feasibility of the model.

**Author Contributions:** Methodology, S.C.; Software, S.C.; Data curation, S.C.; Writing—original draft preparation, S.C.; Writing—review and editing, S.C. and Z.Z.; Visualization, S.C.; Supervision, Z.Z. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Acknowledgments:** The authors thank all members of external insulation research team (Especially Xinhan Qiao, Dongdong Zhang, Wei Zhang, Jinwei You and others) in Chongqing University for their hard work to obtain the experimental data in this paper.

**Conflicts of Interest:** The authors declare no conflict of interest.
