Research On3D Measurement System Of Material Stack Based On Laser Scanning

With the improvement of productivity level, the growing of industrializationlevel, more and more large material stack is used in the process of daily industrial andagricultural. For a long time, to acquire the accuracy3d information of large materialstack is an important subject in practical, the traditional means of measurement isbased on artificial way to reshape the stack becomes regular geometry, then measuredand calculated. Such measurement method is inefficient, labor-intensive, poorreal-time performance, low measurement accuracy, and thus in need of a newmeasurement method to replace traditional methods. In this paper, make a study of thedifficulty in measurement of large material stack, designed a material stackthree-dimensional measurement system. The system completed the measurements ofmaterial stack by the way of line laser scanning; obtain a series of two-dimensionalcross-sectional data. Convert from two-dimensional to spatial coordinates by remap,getting the entire3d point cloud data of the material stack’s surface, and thencalculate the information such as the volume and quality of material stack.First, based on the analysis of the measuring principle and system components,completed the overall design of the system. The measurement system consists of linelaser measurement system, synchronous scanning system and PC software system.The article expounds the specific selection for system components, and introduces thedesign of system hardware and software in detail. The system hardware design mainlyincludes the designed of main controller circuit, communication circuit, the motor andlaser driver circuit and power supply circuit. Software design is mainly consist of twoparts, the main controller program design and PC software design.Secondly, image de-noising; extracting the laser spot and the spot centerlineextraction algorithm is analyzed. The spot centerline extraction algorithm has beenimproved, and proposed a modified iterative threshold of gravity method of extraction,and achieved good extraction effect. For the nonlinear problems of measurementcalculations, proposed a system calibration method based on BP neural network, anddescribes its working principle and concrete implementation in detail.Finally, to test whether the system can effectively measure, has set up averification platform, and then carried out a series of experimental measurements.Through the data analysis of corresponding experimental results, indicate that the measurement results of the system is accurate, reliable and efficient, the measurementresults can effectively reflect the actual3d parameters of the pile, basically reachedthe purpose of this subject.