Research On Binocular 3D Reconstruction Of Lifting Cargo And Operating Parameters Monitoring Of Engineering Ropeway Carriage

Using the real-time monitoring system to monitor the engineering ropeway carriage can effectively reduce labor costs and improve the reliability of transportation.Taking carriage real-time monitoring system as the object,combined with the domestic and foreign virtual instrument,Lab VIEW technology and binocular vision technology,the parameter monitoring and binocular vision module of the engineering ropeway carriage real-time monitoring system is designed and researched.In order to grasp the transportation situation more accurately and effectively,this article mainly studies two major issues: one is how to monitor the parameter changes and signal data collection and analysis under the operation of carriage of the engineering ropeway in real time;the second is to establish a binocular vision system for image processing,depth information,position tracking and 3D reconstruction of lifting cargo.According to the working requirements of carriage real-time monitoring system,the two modules of carriage parameter monitoring and binocular vision are studied in detail.Discuss the visual preprocessing algorithm needed for real-time scene applications;discuss the vision system is determined and the integrated use of binocular vision monitoring strategy is determined;discussed several aspects of the parameter monitoring to be monitored,and determined the implementation method: choose the graphical programming Lab VIEW and embedded my RIO-1900 technology plan;Through the research on the combination of software,monitoring center and hardware selection,the most suitable engineering ropeway carriage application scenario is selected.Binocular vision image preprocessing performs median filtering,histogram equalization,video stabilization and color recognition processing on video and images.The accuracy and real-time verification of the depth information of lifting cargo obtained by binocular vision are carried out,and the depth measurement error is within 5%.The spatial position tracking of carriage is completed,and the accuracy of the straight-line estimation distance is greatly affected when carriage has a fast transportation speed.Binocular vision is based on the dense visual SLAM algorithm to complete the reconstruction of the lifting cargo and the surrounding environment in a large,rapid,and incremental manner.The reconstruction time is 10 s,which can meet the online 3D reconstruction requirements of the system.Research on operating parameters parameter monitoring and signal acquisition and processing of carriages,and complete real-time monitoring of three-axis acceleration,speed and displacement during the transportation of carriages.