Objective To observe the dynamic changes of bacterial survival and endotoxin content in dialysis water during two disinfection processes. The data model was used to fit the changing regulation of microbial indexes during the process of disinfection, and provide basic data support for daily infection control as well as management decisions for pipeline disinfection maintenance. Methods The time and temperature parameters of disinfection procedure mode were analyzed, dialysis water at backwater outlet of water supply pipeline or the entrance of mixing chamber before and after thermal disinfection and chemical disinfection were collected to detect endotoxin, parallel specimens of dialysis water were enriched by membrane filtration method and cultured with TGEA at 20℃ for 7 days, bacterial colonies were counted. Data fitting of Origin software was used to describe the characteristic relationship between the content of bacteria as well as endotoxin and temperature as well as time. Results The survival rate of bacteria decreased with the extension of disinfection procedure time, bacterial survival changed greatly at 50-160 minutes, the decrease of bacterial content in thermal disinfection was more gentle than that in chemical disinfection. The content of endotoxin in thermal disinfection increased with the enhancing of temperature and decreased with the dropping of cooling temperature. Endotoxin content was the highest at 70℃ and 80℃, endotoxin content in the first machine was higher than that in the middle machine and the tail machine. The concentration of endotoxin in chemical disinfection increased during the period of immersion and washing of disinfectant, and then decreased and tended to be stable. After thermal disinfection and chemical disinfection, endotoxin continued to decrease to a lower value first, endotoxin increased slightly at 15 hour and 12 hour after thermal disinfection, with a small peak. Conclusion Temperature and time are the decisive parameters affecting the microbial indexes of dialysis water. Fitting data based on microbial data can be established to describe the differences and similarities of bacterial inactivation and endotoxin changes in dialysis water during two disinfection processes. At the same time, the model tool supplemented the monitoring method of dialysis water, which is helpful to achieve the disinfection control and effect of dialysis water better.