Red layer residual soil landslide quantitative early warning system based on temperature and humidity effect

The invention provides a red layer residual soil landslide quantitative early warning system based on a temperature and humidity effect. The water content and the temperature in the rock-soil body are detected through the sensors, acquired signals are digitally processed, and then monitoring data are sent to the monitoring center in real time in a remote wireless transmission mode; and a data analysis model is established by combining rock-soil characteristics, a rock-soil thermodynamic theory, a rock-soil strength and moisture content change rule and a rock-soil infiltration rule to predict and forecast a rock-soil catastrophe condition and analyze a disaster situation. The red layer residual soil landslide early warning model based on the temperature and humidity effect further comprises a moisture absorption effect early warning module, a rainfall characteristic landslide early warning module and a temperature effect landslide early warning module, and red layer residual soil landslide comprehensive evalua