"stress-displacement" intelligent early warning method for roof disaster

A “stress-displacement” intelligent early warning method for roof disaster, comprising following steps:

• (1) establishing a stress-time database and a displacement-time database based on a relationship between stress and time of roof separation layer, as well as a relationship between displacement and the time of the roof separation layer;
• (2) collecting stress-time data and displacement-time data in real time through sensors, and transmitting the collected stress-time data and the collected displacement-time data to corresponding data processors;
• (3) arranging four early warning modules in the stress-time database, namely a stress stability module, a stress slow development module, a stress separated layer development module, and a stress separated layer instability module, wherein the stress stability module refers to an anchoring force not changing with time, the stress slow development module refers to the anchoring force slowly increasing with time, the stress separated layer development module refers to the anchoring force increasing in a jumping manner, and the stress separated layer instability module refers to the anchoring force decreasing abruptly;
• arranging four early warning modules in the displacement-time database, namely an overall stability module, a first separated layer development module, a second separated layer development module, and a separated layer instability module, wherein the overall stability module refers to the displacement strain not changing with time, the first separated layer development module refers to the displacement strain slowly increasing and tending to stabilize, the second separated layer development module refers to the displacement strain increasing in a jumping manner, and the separated layer instability module refers to the displacement strain increasing exponentially;
• (4) after processing the data through the data processors, uploading the processed data to the stress-time database and the displacement-time database for carrying out dynamic matching with the four early warning modules in each database, and then transforming the processed data into early warning signals for warning.