Study On The Technology And Method Of Tunnel Construction Monitoring Measurement

With the modernization of urban development, urban transport network in the city tunnel traffic system in the proportion is growing. In the construction of China’s major cities are interconnected transportation network to solve the increasingly serious traffic congestion problems. On the one hand the expansion of the city, we must get through traffic in each direction, which requires the construction of a number of obstacles area, the other is to ensure the ecological environment of the city, based on greater use of tunneling works for this project. Meanwhile, the opening of the tunnel brought along the development of economy, the top of the tunnel excavation side, more and more close to the underground tunnel project broke the force balance existing tunnel, causing deformation of the tunnel, if these deformations are not controlled will lead to serious consequences. On the other hand, the current tunnels are mainly for monitoring changes in the expected partial load range monitoring, rarely involve the full range of long-term monitoring of the whole tunnel. Meanwhile the existing monitoring methods exist to change every single point monitoring points to reflect the tunnel deformation, does not accurately reflect the overall deformation tunnel section;, and can not guarantee a stable reference point for other issues in the area of large-scale deformation monitoring, and other sections of the curve. To understand the overall condition of the tunnel. Therefore, long-term study of the tunnel as well as real-time monitoring program analysis and processing methods deformation data security is of great significance for the protection of urban transit network. Therefore, this paper proposed a series of advanced, scientific, tunnel monitoring methods and reasonable efficient, standardized data analysis and early warning systems to meet the long-term monitoring focused on monitoring the overall tunnel construction process as well as the purpose of the local area. Monitoring methods for tunnels, tunnel monitoring coordinate the establishment of benchmarks to assess the accuracy of the analysis, the cross section deformation characteristics and aspects of early deformation data analysis, forecasting, etc. were studied. The main contents are as follows:1. In the study, understand the content of the existing tunnel deformation monitoring, on the basis of the method proposed during tunnel construction, conduct geological prediction monitoring, provide enough security for the construction of early warning. Introduces the TSP system for its application in this particular environment tunnel depth study, conducted for the precise analysis of tunnel surrounding rock, geological information to determine the exact data, analyze the formation lithology and deformation correlation whether to take the tunnel deformation monitoring, and monitoring methods which provide early warning effect.2. Establishment of baseline network tunnel deformation method that will provide information and tunnel cross-section relative deformation overall absolute displacement combined. On the basis of net distribution network in tunnels, observation methods were studied, were constructed elevation plane and triangular mesh networks. Analysis of the pretreatment baseline network adjustment and the results of the accuracy of data plane network. Proposed to build a standard vertical datum triangle mesh, building elevation control network and study its data processing methods. On this basis, the use of measuring robot automatic monitoring system focused on monitoring of surface subsidence and crown settlement and monitoring data processing functions to build model combines regression analysis, data processing, analysis of deformation forecasting trends.3. Systematic exposition of the robot based on the measurement area in the tunnel invert roadbed compaction quality monitoring methods. It includes that of the compaction process control parameters (such as rolling track, speed, number of times, flatness, etc.) detection methods, as well as a more accurate determination of law through the use of heavy compaction and compaction compacted sand replacement Combination methods degrees. Thus the tunnel invert subgrade compaction quality assurance area, providing a more scientific, more accurate and rapid monitoring methods.4. Elaborate system using three-dimensional scanning technology to monitor tunnel section deformation characteristics of the fitting section to cover research scan information to replace the current section of the main section of a small amount of deformation method to analyze a single point of displacement. Cross-sectional study of non-information fitting method of nonuniform B-spline curves and sections of the scan data automatically remove algorithm. Research by distance metric between curves, curve analysis section deformation characteristics extraction method. Meanwhile analyzes and compares the distance between the free curve measure algorithm to determine the tunnel section Hausdorrf distance as the distance measure deformation characteristics. Details of the calculation method Hausdorrf distance between the free curve, measured and applied to the calculation of a tunnel section.5. GIS remote sensing technology, combined with remote sensing images and topographic maps to build a three-dimensional image model of knowledge, analysis and study area for the tunnel collapse, collapse to determine the scope and distribution sequence. According to subsidence monitoring requirements, select GPS monitoring points, on the collapse of regional deformation monitoring. While taking advantage of the numerical analysis algorithms deformation monitoring data processing, analysis on dynamic deformation zone tunnel collapse affected. By studying the problem of numerical analysis methods transformation parameters, taking into account the proposed construction of the tunnel incident analysis and prediction models.