Rolling stone track real-time correction calculation method

Abstract

The invention relates to a rolling stone track real-time correction calculation method. Equipment adopted in the method comprises a nine-axis sensor, a wireless communication module and a computer; the nine-axis sensor is installed in a side slope dangerous rock and communicates with the computer through the wireless communication module. A digital model of a target slope and a plurality of rolling stone falling models are pre-stored in the computer; when dangerous rock is loosened and changed into rolling stone, the nine-axis sensor monitors the position and speed signals of the rolling stonein real time, and the computer compares the received position and speed signals of the rolling stone with the rolling stone falling models according to a certain frequency. And the closest rolling stone flying-off model is selected according to a comparison result, and thus calculating and predicting a subsequent track by utilizing the rolling stone flying-off model. The rolling stone position can be monitored in real time through the nine-axis sensor and fed back to the computer for analog computation, and which model is adopted for track prediction in the next stage is judged according to the current position and the previous track, so that the effect of relieving the disaster situation is achieved.

Description

Technical field [0001] The present invention belongs to the field slope control, particularly relates to a real-time correction trajectory calculation method Rolling, Rolling slope for predicting the placement position, to provide early warning, harm reduction. Mainly be used for easy landslide, there is the presence of unstable rock slope. In particular, for the existence of a large crag in the mountain slopes. Background technique [0002] Existing early warning system only uses a large monitor mode, or through the use of surveillance cameras only unstable rock, the Rolling Stones real-time monitoring, did not predict the impact point when it rolled down, often after the damage caused by the Rolling Stones, before we know it happened Location. [0003] This method has the following problems [0004] (1) use of existing early warning system, not timely and effective warning area affected is about to evacuate victims. [0005] (2) use of existing early warning systems, and data m...

AI Technical Summary

Problems solved by technology

[0004] (1) The existing early warning system cannot timely and effectively warn the area about to be affected by the disaster and evacuate the victims

[0005] (2) The current early warning system cannot be connected with the data model theory, and the accuracy is low

[0006] (3) Uncertainty of boundary parameters, leading to great uncertainty in prediction accuracy

There is not a good balance between theoretical research and engineering practice

[0007] In addition, there are some models for predicting rolling stones in the prior art, but due to the variability of the site environment, each model has its own limitations and cannot accurately simulate all situations. In fact, the accuracy of the prior art models is generally relatively low. For rolling stones, it is generally divided into the initial sliding stage, the falling stage, the collision and bouncing stage, and the rolling stage. Among them, the flying falling stage is the most dangerous, because the landing energy is the largest after the flying fall, and it is invisible, and the distance and position of the flying fall are also important. Uncontrollable, therefore, how to choose the predicted trajectory of the flying and falling process is particularly important. Although the bouncing stage is also very harmful, but because the rolling stone has already touched the ground, the bouncing range is also limited, and the bouncing landing point can be roughly judged

Images