文献类型：期刊文献

英文题名：Research on Energy Efficiency Management of Forklift Based on Improved YOLOv5 Algorithm

作者：Li, Zhenyu[1];Lu, Ke[2];Zhang, Yanhui[3];Li, Zongwei[1];Liu, Jia-Bao[4]

机构：[1]Shanghai Inst Technol, Sch Econ & Management, Shanghai 200030, Peoples R China;[2]Anhui Univ Technol, Sch Management Sci & Engn, Maanshan 243032, Peoples R China;[3]East China Univ Sci & Technol, Business Sch, Shanghai 200030, Peoples R China;[4]Anhui Jianzhu Univ, Sch Math & Phys, Hefei 230601, Peoples R China

年份：2021

卷号：2021

外文期刊名：JOURNAL OF MATHEMATICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000771488900004)】；

基金：)is study was supported by the National Natural Science Foundation of China (71974130), the National Social Science Fund of China (18BGL093), and the Shanghai Pujiang Program (2019PJC096).)e authors are thankful for the support.

语种：英文

摘要：As an important tool for loading, unloading, and distributing palletized goods, forklifts are widely used in different links of industrial production process. However, due to the rapid increase in the types and quantities of goods, item statistics have become a major bottleneck in production. Based on machine vision, the paper proposes a method to count the amount of goods loaded and unloaded within the working time limit to analyze the efficiency of the forklift. The proposed method includes the data preprocessing section and the object detection section. In the data preprocessing section, through operations such as framing and clustering the collected video data and using the improved image hash algorithm to remove similar images, a new dataset of forklift goods was built. In the object detection section, the attention mechanism and the replacement network layer were used to improve the performance of YOLOv5. The experimented results showed that, compared with the original YOLOv5 model, the improved model is lighter in size and faster in detection speed without loss of detection precision, which could also meet the requirements for real-time statistics on the operation efficiency of forklifts.