Maintaining appropriate temperature and humidity to minimize the negative effect of the environment are basic requirements for the preventive conservation of cultural relics in museums. Because of regional climate differences, sometimes adopting a uniform standard is neither necessary for relics nor energy efficient. This paper discusses a risk assessment method for controlling temperature and humidity in the museum environment of bronze relics. A quartz crystal microbalance was used to carry out reactivity monitoring experiments of the simulated bronze material, to thus obtain corrosion data. Machine learning algorithms were used to establish a highly accurate corrosion rate prediction model of the simulated bronze material under specific temperature and humidity conditions. Then, using the corrosion rate as a quantitative indicator of risk, a continuous environmental temperature and humidity risk standard was proposed for four classes. Because of a difference in atmospheric pressure, a relative humidity conversion factor was added to expand the scope of its application. A graphical user interface tool was designed to make it easier to utilize. Based on the proposed assessment standard for museum temperature and humidity risk of bronze relics, a conservator could control the temperature and humidity according to local conditions while maintaining the risk level.