Tunnel runtime deformation monitoring forecast system and method

Abstract

The invention relates to a tunnel runtime deformation monitoring forecast system and method. The system comprises distributed fiber sensors (1) arranged in a monitoring section (A) of a tunnel, a fiber strain analyzer (2), a fiber (3), a data transmission unit (4), a GPRS module (5) and a monitoring center computer (6), wherein tunnel deformation quantity and tunnel deformation rate data which are collected by the distributed fiber sensors (1) are stored in the fiber strain analyzer (2) and is transmitted to the data transmission unit (4) disposed outside the tunnel through the fiber (3), and the data transmission unit (4) transmits the tunnel deformation quantity and tunnel deformation rate data to the monitoring center computer (6) through the GPRS module (5). The system and method combine a neural network method with a gray model method to carry out tunnel surrounding rock deformation quantity and deformation rate prediction, enable a monitoring result to be more scientific and reasonable, is more accurate in prediction result and is more scientific and systemic in monitoring prediction management.

Description

technical field [0001] The invention belongs to the field of tunnel safety monitoring and prediction, in particular to a tunnel deformation monitoring and prediction system and method during operation. Background technique [0002] With the rapid development of tunnel engineering construction technology and design theory, more and more tunnels (roads, railways, subways, etc.) are being built in my country. The stability of surrounding rock deformation is closely related to the safety of tunnel engineering. The main manifestation of tunnel engineering accidents is the instability of surrounding rock, which makes the monitoring of tunnel surrounding rock deformation more and more important. At the same time, tunnel deformation monitoring technology has also been developed by leaps and bounds. With the advent of the era of information-based surveying and mapping, the sensor network technology with digital information as the core has had a profound impact on the design, constru...

AI Technical Summary

Problems solved by technology

[0004] In short, the current relevant monitoring methods are mainly based on the deformation of the surrounding rock, and seldom take the deformation rate into account, and mainly focus on monitoring the boundary deformation, and cannot monitor the deformation inside the surrounding rock.

At the same time, at present, the combination of tunnel deformation monitoring and prediction is relatively small, resulting in low management efficiency. The deformation prediction of the tunnel surrounding rock plays a vital role in the deformation monitoring of the tunnel.

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