Long-span Bridges Intelligent Detection System Primary Exploration

With the constant improvement of the national road network,China’s highways have witnessed rapid growth in the volume of traffic in recent years.More and more vehicles,including over-sized and overweight ones,travel on highways,placing an increasingly high demand on the traffic capacity and load capacity of bridges.This thus highlights the importance of regular examination and reinforcement and maintenance of bridges.However,accurate and effective examination is the prerequisite for reinforcement and maintenance.Nevertheless existing methods employed in examining long-span bridges are beset with multiple flaws: high costs,low efficiency,low safety,strong subjectivity as well as insufficient accuracy and comprehensiveness in examination results.At the same time,the fast development of Internet technology and the extensive efforts of the government to advance the Internet Plus action plan have created a favorable environment for innovating and applying artificial intelligence in the examination of bridges.At present,intelligent examination of bridges has become a hot research topic.This thesis first use a detecting stand equipped with a camera to examine bridges.First use the high definition camera to collect images of bridges.Then make advantage of image recognition system to recognize and process disease images in real time and image positioning system to find out the positions of the diseases.Finally store processing results in relevant bridge database for reference and make bridge conditions reports,bridge examination evaluations and maintenance reports on the basis of the data.Compared with traditional bridge examination methods,this method is not only free from the above-mentioned defects,but also less expensive.In this thesis,the author utilizes the finite element analysis software ABAQUS to conduct dynamic performance analyses and modal analyses of stands.The thesis then use drones to achieve automation and intelligence in the examination of bridges.First design the layout of base stations for the bridge to be examined and establish a coordinate system on the basis of the coordinates of the base stations before planning the air route.Then let the drone operate automatically according to planned air route and operation mode to transmit in real time collected image information to a ground station,where images will be processed to obtain needed data and pictures.At the time,supervisors can have a remote view when commands are issued to the drone to transmit examination information to the cloud.This thesis studies drone’s long-lasting flight,positioning system,image positioning,intelligent flight control system,image recognition and other key forms of technology.It also designs and illustrates a system to use drone to examine bridges.Finally,with the use of drones to examine cracks as an example,the thesis,adopting image recognition technology,designs programs to recognize images with cracks on the basis of OPENCV platform.The author invents a new and more accurate method and device to measure crack parameters.And through the test of fracture measuring accuracy and the feasibility of the measuring device is verified.