In the process of bridge health monitoring, in order to study the relationship between strain and temperature at the important position of the structure, based on the field monitoring data of the Changqing Yellow River Bridge in Jinan, this paper analyzes it. According to the time series of temperature and strain data collected in the field stable operation stage, the basic characteristics of temperature and strain data are obtained through characteristic analysis. The wavelet analysis method is used to decompose the temperature and strain data in four layers to get different level of detail signals, including the strain caused by high-frequency random load such as vehicle load and noise, the strain caused by dead load and material creep, and the strain caused by daily temperature change. The relationship between temperature and strain is obtained by comparing the signal layer related to daily temperature change with the time series of temperature change. The results show that: 1. Temperature has a great influence on the strain of the structure, and temperature and strain show a positive correlation. 2. In different positions of the structure, the longitudinal distribution of temperature is more uniform. 3. All kinds of strain signals are obtained by wavelet decomposition. In a word, the data analysis method and research results used in this paper provide an important reference for bridge health monitoring in practical engineering.