## 2 Collation and Analysis of Measured Data of Temperature and Wind  
### Wind Speed Warning and Monitoring System  
Qiao Jia-fan 2# Bridge adopts a wind speed early warning system for high-altitude operations suitable for highway construction. The early warning system includes wind speed sensor, sound and light alarm, MCU control system, 4G module and power module. The wind speed sensor and the sound and light alarm are connected to the MCU control system. MCU control system is connected with 4G module. The 4G module is connected to the mobile phone terminal signal through Alibaba Cloud (Alibaba Group, Hong Kong, China). The power module is connected to the MCU control system and the 4G module. The wind speed early warning system is installed in each section. When the wind speed reaches level 5, information is sent to the mobile phone through the cloud system for early warning. When the wind speed reaches level 6, the sound and light alarm is sent to the mobile phone through the cloud system for the alarm. Construction is stopped on site, and the data is uploaded to the cloud in real time for researchers' research. Early warning is carried out when the wind speed reaches Grade 5 and Grade 6. The whole early warning system is powered by solar energy and can be used outdoors for a long time. In this study, the data acquisition instrument is arranged at the 7# pier of Qiao Jia-fan 2# Bridge, 10 m from the ground, and measures the temperature, wind speed and wind direction data at the bridge site. Representative Value of Atmospheric Temperature Difference between Day and Night Based on Statistical Analysis  
Considering that the service life of the bridge is basically about 100 years, the extreme maximum temperature at the bridge site cannot be directly calculated only by collecting the temperature data of Qiao Jia-fan 2# Bridge for 6 months. Therefore, based on the measured data of 6 months, this section calculates the representative value of atmospheric temperature difference between day and night by mathematical statistics, and then obtains the extreme maximum temperature at the bridge site. In this study, the two-parameter Weibull distribution is applied, which is determined by the shape parameter and the scale parameter [16]. The shape parameter controls the basic shape of the distribution density curve, the scale parameter controls the range of the curve and does not affect the shape of the distribution. Its distribution function is as follows:  
\[W(x:\alpha,\beta)=1-e^{-(\frac{x}{\alpha})^{\beta}} \tag{1}\]  
where \(\beta\) is the shape parameter, \(\alpha\) is the scale parameter. The probability density function of the Weibull distribution is as follows:  
\[ \begin{array}{l}x>0;\ f(x)=\frac{\beta}{\alpha}(\frac{x}{\alpha})^{\beta-1} e^{-(\frac{x}{\alpha})^{\beta}}\\ x\leq 0;\ f(x)=0\end{array}  \tag{2}\]  
In the area where Qiao Jia-fan 2# Bridge is located, the atmospheric temperature difference between day and night was analyzed for six months from 1 February 2023, to 31 July 2023, and statistical analysis was carried out according to the field measured data. In Figure 1, the time starting point is 1 February 2023. By analyzing Figure 1, it can be seen that the daily maximum temperature difference of the atmosphere is 24 \({}^{\circ}\)C. The atmospheric data from 1 February 2023 to 31 July 2023 were collected and statistically analyzed. The nonlinear curve fitting was performed using Origin 2022 software, and the Pearson \(\chi^{2}\) test showed that the temperature difference obeyed the Weibull distribution of W(15.287, 3.981). The P-P diagram can be drawn from the accumulated proportion of measured temperature difference and the accumulated proportion of Weibull distribution. By analyzing Figure 2, it can be seen that the cumulative probability of the expected temperature difference and the cumulative probability of the measured temperature difference approximately shows a straight line. The measured data of temperature difference is in accordance with the Weibull distribution of W(15.287, 3.981).