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一种改进的压板状态识别SSD算法
引用本文:周克,杨倩文,王耀艺,张金钱. 一种改进的压板状态识别SSD算法[J]. 电测与仪表, 2021, 58(1): 69-76. DOI: 10.19753/j.issn1001-1390.2021.01.010
作者姓名:周克  杨倩文  王耀艺  张金钱
作者单位:贵州大学电气工程学院,贵阳550025;茅台学院酿酒工程自动化系,贵州遵义564507;贵州大学电气工程学院,贵阳550025
基金项目:国家自然科学基金资助项目;贵州省科技支撑计划
摘    要:在变电站二次侧管理中,压板承担着重要作用.文章提出了一种改进SSD图像识别算法,用以实现对压板状态的识别.新算法通过在SSD目标识别算法中,嵌入注意力机制,利用注意力机制挖掘了每个特征通道的重要程度,提升有用特征的权重,抑制了无效特征,提升了原有算法的检测精度.为了解决训练样本不足的问题,新算法通过对样本的扩充和迁移学...

关 键 词:压板状态识别  SSD算法  注意力机制  样本扩充  迁移学习
收稿时间:2020-08-04
修稿时间:2020-08-12

An improved SSD algorithm for pressure platestatus recognition
Zhou ke,Yang Qianwen,Wang Yaoyi and Zhang Jinqian. An improved SSD algorithm for pressure platestatus recognition[J]. Electrical Measurement & Instrumentation, 2021, 58(1): 69-76. DOI: 10.19753/j.issn1001-1390.2021.01.010
Authors:Zhou ke  Yang Qianwen  Wang Yaoyi  Zhang Jinqian
Affiliation:School of Electrical Engineering, Guizhou University,School of Electrical Engineering, Guizhou University,School of Electrical Engineering, Guizhou University,School of Electrical Engineering, Guizhou University
Abstract:In the secondary side management of the substation, the pressure plate plays a major role. The article proposes an improved SSD image recognition algorithm to realize the recognition of the state of the platen. The new algorithm embeds the attention mechanism in the SSD target recognition algorithm, uses the attention mechanism to mine the importance of each feature channel, increases the weight of useful features, suppresses invalid features, and improves the detection accuracy of the original algorithm. In order to solve the problem of insufficient training samples, the new algorithm trains the parameters of the proposed new SSD algorithm by means of sample expansion and migration learning, and is verified by simulation experiments. Experimental results show that the improved SSD algorithm has a recognition accuracy rate of 96%, a recall rate of 94%, and 23 images per second can be detected, which can effectively improve the efficiency of the pressure plate status in the substation.
Keywords:pressure plate state recognition   SSD algorithm   attention mechanism   sample expan- sion   migration learning
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