A Monitoring and Control System of Tunnel Model Test Platform Based on 3D Model

Abstract

The invention discloses a monitoring and control system for a tunnel model test platform based on a three-dimensional model, which is characterized in that it includes a host computer storing a three-dimensional model control module, an oil source module, a ring frame assembly, an electro-hydraulic assembly, and a detection module; the advantage is through The detection module sends the working status information of the ring frame component, the working status information of the electro-hydraulic component and the working status information of the segment to the three-dimensional model control module, so that the corresponding display is performed on the host computer, and the operator can observe the segments intuitively and in real time Real-time status in the detection system, so as to control the electro-hydraulic components to exert force on the test segment and the ring frame component by adjusting the control module of the electro-hydraulic component while observing, until the working state of the test segment meets the requirements, and at the same time it is convenient for the work During the process, the operating status of each component is monitored in real time to achieve timely and effective maintenance. The overall operation is more convenient and the system structure is simple.

Description

technical field [0001] The invention relates to a servo control system, in particular to a monitoring control system of a tunnel model test platform based on a three-dimensional model. Background technique [0002] In the process of tunnel construction, in order to ensure the safety of the segment during construction, it is necessary to detect the deformation characteristics and load characteristics of the segment in advance. Generally, the constant load is used to apply pressure to the segment to detect the impact of the test segment. However, the deformation at one position on the test segment will affect the surrounding parts, and in the actual construction environment, the load characteristics of the soil layers at different positions will change with the construction progress at any time. The pressure on the segment also changes accordingly. Therefore, the segment detected by the constant load method is easy to be damaged in a local position during actual construction. ...

AI Technical Summary

Problems solved by technology

[0002] In the process of tunnel construction, in order to ensure the safety of the segment during construction, it is necessary to detect the deformation characteristics and load characteristics of the segment in advance. Generally, the constant load is used to apply pressure to the segment to detect the impact of the test segment. However, the deformation at one position on the test segment will affect the surrounding parts, and in the actual construction environment, the load characteristics of the soil layers at different positions will change with the construction progress at any time. The pressure on the segment also changes accordingly. Therefore, the segment detected by the constant load method is prone to damage at local locations during actual construction.

[0003] At present, a set of segment performance detection system is designed and developed to simulate the real environment. The test segment is fixed by the electro-hydraulic components installed on multiple ring frame components, and different pressure is applied to multiple action points on the test segment by the electro-hydraulic component. The load force makes the overall stress state of the test segment conform to the real stress state in the actual construction environment to detect the performance of the test segment, because the change of the working state of each action point may cause the work of other surrounding action points Therefore, in order to conform to the actual construction environment, the control system used to control the electro-hydraulic components has a large amount of calculation, the processing process is complicated, and it is impossible to directly observe the abnormal working status of which action points to make adjustments and maintenance

At present, there are many ways to monitor and process the working status, but in the application occasions where there are a large number of action points, a large number of observations, and a large number of correlations and mutual influences between data, the realization of system control is difficult and the system work efficiency is low

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