Three-dimensional model-based Monitoring and control system of tunnel model test platform

Abstract

The invention discloses a three-dimensional model-based Monitoring and control system of a tunnel model test platform. The system is characterized in that it includes an upper computer that stores a three-dimensional model control module, an oil source module, a ring frame component, an electro-hydraulic component and a detecting module, and has the following advantages: the detecting module respectively sends working state information of the ring frame component, working state information of the electro-hydraulic component and working state information of a segment to the three-dimensional model control module, so that the working state information is displayed accordingly on the upper computer, and an operator can observe the real-time state of the segment in a detection system visuallyin real time, so as to adjust a control module of the electro-hydraulic component to control the electro-hydraulic component to apply a force to the test segment and the ring frame component until theworking state of the test segment meets requirements while observing. In the meanwhile, it is convenient to monitor operation states of all components during working processes, timely and effective maintenance can be achieved, and the overall operation is 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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