面向遥操作电力作业的触觉生成技术

Tactile generation technology for remote operation of power operations

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DOI 10.12208/j.jeea.20250107
刊名
Journal of Electrical Engineering and Automation
年,卷(期) 2025, 4(4)
作者
作者单位

1 南京邮电大学通信与信息工程学院 江苏南京
2 南京邮电大学空天地海通信技术一体化研究院 江苏南京

摘要
融合触觉反馈的远程遥操作电力作业已成为提升高压环境作业安全性与操作精度的关键技术,但受限于触觉通信的带宽不足与信号易失真的问题。为此,本研究提出一种基于大模型的文本引导触觉生成技术,通过将高维触觉图像压缩为低维文本语义特征进行传输,显著降低了数据量,有效解决了带宽受限问题;文本特征的语义抽象与结构化编码机制显著提升了抗干扰性能,有效解决了传统触觉图像信号在传输过程中易失真的问题。
Abstract
Remote teleoperation of power operations with haptic feedback has become a key technology for enhancing safety and operational accuracy in high-voltage environments. However, it is limited by insufficient bandwidth for haptic communication and the susceptibility of signals to distortion. To address these issues, this study proposes a text-guided haptic generation technology based on large models. By compressing high-dimensional haptic images into low-dimensional text semantic features for transmission, it significantly reduces the data volume and effectively resolves the bandwidth limitation problem. The semantic abstraction and structured encoding mechanism of text features significantly enhance the anti-interference performance, effectively solving the problem of signal distortion during the transmission of traditional haptic images.
关键词
遥操作电力作业;文本特征提取;触觉图像生成
KeyWord
Teleoperation of power operations; Text feature extraction; Tactile image generation
基金项目
页码 29-33
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李昂,, 刘跟创. 面向遥操作电力作业的触觉生成技术 [J]. 电气工程与自动化. 2025; 4; (4). 29 - 33.

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