Software Development of Tunnel Deformation Monitoring Based on Digital Image Processing
|School||Huazhong University of Science and Technology|
|Course||Disasters Prevention Engineering|
|Keywords||Tunnel Deformation Monitoring Visual C++ Digital Image Processing Serial Communication Engineering Application|
With the long-term operation and use, the tunnels get a slow deformation easily. The main difficulty during tunnel construction is to prevent the tunnel from collapse, so the monitoring on tunnel deformation and relevant geological forecast play a very important role in the success of tunnel construction. The displacement monitoring on tunnel vaults is very important to ensure the safety of tunnel construction and to find out the overall stability. Traditional methods carry out on the premise of contact, they have the advantages of simple operation and low cost but can not monitor the points’three-dimensional displacement around the tunnel. With the ceaseless span increases of construction in our country, these traditional methods are now becoming more and more restricted. So it is important and significant to develop non-contact tunnel deformation monitoring methods. This paper developed a new tunnel deformation monitoring system based on digital image processing.First, i summarize the background, purpose and meaning, research situation of the topic; then analyze system frame and hardware composition, software design and working process of the system; in chapter 3, system’s implementation principle and the derivation of related coordinate’s calculating formula.In software development and implementation, the system is developed based on multi-document template of MFC, under the platform of visual C++ 6.0. Functions finished in the program including: 1,read the picture of jpg format and convert it to bmp format; 2,for the convenience of data transmission between system and theodolite, serial communication was introduced in program; 3,obtain pixel coordinate of image based on digital image processing; 4,output the computed results according to pixel coordinate and the theodolite’s observations.The last part of this paper applies the system in experiments. The correctness of this new monitoring method has been proved and so it can be applied in practical projects.