烟草科技2025，Vol.58Issue(5)：79-87,9.
基于点云重建和模糊神经网络的贮柜出料流量控制方法
Throughput control method for tobacco silos based on point cloud reconstruction and fuzzy neural network
摘要
Abstract
Tobacco silos are important equipment used to store tobacco leaf materials in the primary department of a cigarette factory.In order to solve the problem of frequent start and stop of buffering equipment such as tobacco feeder due to large leaf throughput fluctuations under traditional leaf feeding mode,a control method for tobacco throughput from tobacco silos based on the point cloud reconstruction and fuzzy neural network was proposed.Firstly,a 2D laser radar installed on the spreading vehicle in the silo was used to scan the tobacco leaf materials stored in the silo to obtain their 2D point clouds.The acquired 2D point cloud was processed by converting into a coordinate system,followed by filtering,registration and splicing to reconstruct a corresponding 3D point cloud of the material.The distribution information of the material volume was obtained by the slicing method.Finally,the fuzzy neural network control algorithm was applied dynamically by adjusting the operating frequency of the bottom belt motor in the silo.The proposed method was verified on the primary production line in Yanji Cigarette Factory.The results showed that the volume measurement error of the method was less than 2.0％for the standard boxes placed in the silo and less than 3.0％for the leaf material stored in the silo.By using this method,the tobacco throughput from the silo was more uniform and the average downtime of the feeder and other equipment was reduced from 13 to 9 times per production batch.This method provides technical support for extending the life of cigarette makers.关键词
贮柜/出料流量/二维激光雷达/点云处理/体积测量/切片法/模糊神经网络Key words
Tobacco silo/Tobacco throughput/Two-dimensional laser radar/Point cloud processing/Volume measurement/Slicing method/Fuzzy neural network分类
轻工业引用本文复制引用
邱浩峰,李玉珩,吕义生,张艳,宋智卓,祖昊,邰冠一,杨萍,邓俊,刘彦良..基于点云重建和模糊神经网络的贮柜出料流量控制方法[J].烟草科技,2025,58(5):79-87,9.基金项目
吉林烟草工业有限责任公司科技项目"贮柜自动跟批装置智能控制研究与应用"(kjxm-24-27). （kjxm-24-27）
