Design And Implementation Of Installation Of Quality Detection And Deformation Monitoring Software System For Large Steel Structure Building

With the advance of the economic development and the prosperity of the construction market in our country, a large number of steel structure building has been built all over t he country just in recent years. The steel structure building is a building with steel structure as the framework which is composed of many steel components together, it has a large building volume and a complex design.It is a typical example of steel structure building that the three main stadiums used in 2008 Beijing O lympic Games, In the process of steel structure construction, installation quality inspection and subsequent deformation monitoring is important. It is the requirements of high efficient and good quality in building process that evaluating the stitching on steel quality fast and correctly and mastering the deformation trend of the construction comprehensively and systematically, at the same time it is significant in costing reduction and a rapid and safety accomplishment.Because the whole steel structure is stiffener, if the quality inspection and defor mation monitoring is inaccurate, it will cause some project accident and project delay, what’s more it is a waste of manpower and material resources. However these steel structure often do not have a steady characteristics and the numbers of components is very big, quality inspection and deformation monitoring is very complex in the process of construction, it need a fast and dense detection method to ensure the construction process getting smoothly.Conventional method of installation quality inspection and deformation monitoring of steel structure building mainly through total station observe the typical part of steel structure, comparing with the data of design model, inspect the welding quality of steel a nd information of deformation. Long working period, detecting density less than intuitive lead to difficult to achieve comprehensive detection, cannot achieve the requirements of the detection of installation and health monitoring in steel structure constr uction process. In recent years, a number of the advanced technology apply for of installation quality inspection and deformation monitoring of steel structure has been emerged, one of the most representative is the method of TLS scanning measuring. The TLS can quickly get point cloud data in a wide range of intensive scanning, dealing with the scanning data to get the data you need as a result, completing installation quality detection and deformation monitoring task comprehensively and rapidly.TLS post-processing scanning could get a reliable and high speed data, while there is no matching of point cloud data processing software for steel structure. Several kinds of point cloud data process software such as Leica C yclone, Geomagic, Trimble refused Realworks, Innov Metric Polyworks, Imageware, etc. have been widely used nowadays, each of them have a different algorithm characteristics and have a great advantage in some functions of data processing. But these software is not designed for processing point c loud data of steel structure, using one of the software for data processing often cannot meet the requirements.So this paper designed and developed a kind of steel structure installation quality inspection and deformation of the point cloud data monitoring system software. In this paper, the research content is as follows:(1) Automatically calculate point cloud trait corner of steel structure port. By partitioning point cloud data, neighborhood search and principal component analysis(PCA) method to calculate the attribute information of normal vector of each point. By summarizing and clustering attribute information to part the point cloud data, then solving the equation of each plane and calculating the characteristic Angle point coordinates of the port.(2) Alternatively calculate point cloud trait corner of steel structure port.Choosing the characteristics of each plane point cloud interactively, doing characteristics planar reconstruction of this chosen point cloud data, operating plane intersection a nd calculating feature corner point coordinates.(3) Application of TLS in install docking test. Using the high precision TLS data to acquire data in the process of steel structure construction, extracting detect information with feature information extraction function modules, analysis the deviation of the test information, and output in the form of a diagram.(4) TLS deformation monitoring method base on characteristic, through calculating each point cloud data of the feature points, surface information and then making compare and analysis with the next phase data or design model coordinates, according to requirements design the flexible monitoring method, obtaining the deflection of the steel structure buildings.(5) Researching deformation analysis me thod based on the integral point cloud data, mainly studied the point-to-point distance comparison analysis method based on Hausdorff distance, points to the space distance of triangular mesh comparative analysis method(by adopting the structure delaunay triangulation grid), calculating the whole deflection and using measurement for same part to achieve the deformation, obtaining the whole deformation trend of steel structure building.(6) On the basis of the above research contents, algorithms of the automatic calculating point cloud trait corner of port coordinate and alternatively calculate point cloud trait corner of port, deviation method of data analysis, diagram export and other basic function, implementing install testing data processing module. Using the methods of automatically calculate point cloud trait corner of port and the alternatively calculate point cloud trait corner of port, characteristics planar reconstruction and other basis functions to achieve the characteristics of deformation monitoring data processing module. using the different integral analysis comparing algorithm to analyse the deformation of the point cloud data, cutting and measuring the deflection part of the whole data, generate trend analysis chart of deformation, achieve the whole deformation monitoring function module.This papers choose Visual Studio 2013 as development platform, using Direct3 D render 3D graphics library and C++ programming language to design and development, adopting Postgre SQ L open-source as database. Developed the steel structure building point cloud installation detection and deformation monitoring data processing system, using the point cloud of steel structure as basic data, achieved K-D tree data partitioning, estimate of the normal vector, point cloud segmentation and other basic algorithm, base on that, achieved the automatic extraction method, interactive extraction method, deviation analysis, the integral deformation analysis, data storage and export, charts, and other functions of the feature p oint(outside) of steel spliced detection, with a series of experiments proving the effectiveness of the system and the feasibility of the algorithm.