Intelligent monitoring, measuring and early warning system and method for construction safety of tunnel under construction

Abstract

The invention discloses an intelligent monitoring, measuring and early warning system and method for construction safety of a tunnel under construction. The system comprises an intelligent photographing and camera shooting module, an advanced geological forecasting module, a monitoring and measuring module, an environment monitoring module, a wireless transmission module, a data comprehensive analysis module and an intelligent early warning module. According to the system, the informatization and automation degree of safety early warning management of tunnel construction under construction is improved, and the management and control difficulty of tunnel construction safety risks is reduced; and the level of tunnel safety management is improved. Through integration of seven modules, mutual correlation and mutual combination of data of each module, comparative analysis and comprehensive evaluation of monitoring data of each module, the system can greatly improve the precision of the monitoring data, dynamically feed back the monitoring data in real time and guide construction, and reduce the monitoring cost to the greatest extent. Intelligent early warning of tunnel construction safety is achieved, potential safety hazards and the probability of occurrence of safety accidents are reduced, casualties are avoided, and potential safety hazards are eliminated.

Description

technical field [0001] The invention relates to an intelligent monitoring, measurement and early warning system and method for the construction safety of tunnels under construction, belonging to the technical field of tunnel construction safety. Background technique [0002] Tunnel construction has entered a period of rapid development, and the number of road tunnels and railway tunnels has increased sharply. The safety of tunnel construction under construction has become an important link in the tunnel construction process. As an important means to ensure construction safety, optimize construction design and guide on-site construction, advanced tunnel geological prediction, monitoring and measurement, environmental monitoring and safety warning are of great significance to reduce the risk of tunnel construction. [0003] Tunnel construction is more risky than other construction projects, and has higher requirements for construction technology and management level. In additi...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing construction safety monitoring and measurement systems are built based on a single device for tunnel safety monitoring, which has poor compatibility with other monitoring devices and has limitations on the items and content of tunnel monitoring. , the forecast is single and inaccurate, and it is easy to cause missed reports and false reports due to the influence of on-site construction;

[0005] At present, tunnel monitoring measurement is generally based on the development of specific projects, mainly using the specific working conditions of the project for deformation monitoring and data analysis. Most of the tunnel monitoring measurement only monitors the settlement and convergence deformation of the tunnel surrounding rock, and does not monitor the tunnel support structure. Monitoring and analysis of the stress state and stress distribution under different working conditions and the dynamic state and stability of the surrounding rock structure, that is, without combining the physical and mechanical tests of the surrounding rock, such as surrounding rock stress, strain, concrete lining stress, anchor rod Axial force and steel arch stress, etc., cannot combine the stress of the structure and the stress of each part of the support system to make a more accurate forecast

Surrounding rock monitoring and measurement methods, data processing, and process management during tunnel construction are difficult to meet the safety requirements of tunnel construction. The main manifestations are: ①The manual operation is not standardized. Due to the accidental and random nature of manual measurement, it is easy to cause large errors , the accuracy of the measurement results cannot be guaranteed; ②The monitoring personnel are affected by site conditions during the monitoring process, such as vehicle entry and exit, spraying and anchoring, etc. affect efficiency; ③The traceability of monitoring data is poor, and it is difficult to form instant, effective and continuous monitoring Data, ④ Monitoring and measurement cannot guarantee real-time performance, and it is difficult to quickly achieve resource sharing, and relevant personnel cannot grasp and analyze changes in a timely or real-time manner;

[0006] (3) The existing system collects tunnel information, which cannot simultaneously reflect the changes in the tunnel’s spatial attitude caused by the adverse geology, deformation, stress, strain, and environmental factors of the tunnel’s surrounding rock, and cannot accurately describe the tunnel feature points and the location of the feature points. Spatial variation, which affects the use and correct presentation of monitoring data;

[0007] (4) The data processing method of the tunnel safety monitoring and measurement system is relatively backward, with a low degree of intelligence and automation. Data transmission and storage are intermittent and continuous due to the influence of the environment, which affects the real-time update and use of monitoring data, resulting in the impact on the tunnel project. The guidance of information design and engineering construction is limited;

[0008] (5) The data obtained from tunnel advanced geological forecast, monitoring measurement, surrounding rock mechanical parameter monitoring, and environmental monitoring are relatively independent, the data correlation is poor, and comprehensive analysis cannot be carried out. Information management cannot realize the monitoring, measurement and early warning of tunnel construction safety. requirements, the precision of early warning is not high, and it is difficult to guide and solve the problems of project quality and safety early warning

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