The monitoring and forecasting of slope dangerous rock mass collapses have always been a critical yet underdeveloped area in geological disaster prevention research. An automatic sensing mechanism was devised for capturing

computing

and transmitting minor tilt angles and strong vibration accelerations of tension-cracking dangerous rock masses. A micro-core-pile geological disasters monitoring sensor has been devised

enabling low-power long-term monitoring. Through on-site monitoring and analysis of tension-cracking rock mass collapses

it was found that these rock masses exhibit a precursor of collapse characterized by accelerated tilt deformation accompanied by an increase in the frequency and amplitude of strong vibrations. It was revealed that there is a significant exponential relationship between the cumulative tilt deformation and the tilt deformation rate during the accelerated tilt phase immediately preceding collapse

and a linear correlation exists between the reciprocal of the tilt rate and the remaining time before collapse. Subsequently

a ‘reciprocal tilt rate method’ was established for predicting the time to collapse

and an algorithm for real-time application of the prediction model based on MEMS tilt angle sensor data characteristics was developed. These research findings can have a positive promoting effect on the monitoring and early warning of collapse disasters.