摘要: |
为了提升电力物联网自动化系统的互动能力,在电力自动化系统的四层体系结构和输入操作模式基础上,利用语音输入法构建了一种新的人机交互模型。针对模型中人机语音互动难点,提出可以简化语音输入的编码原理,并在新的互动模型中展开方案研究。最后,通过窗口系统文件对象操作、窗口命令执行和远程控制等方式进行应用程序验证。验证结果表明,应用简化语音编码的自动化互动模型可以有效提升人机交互效率,推进电力系统的发展。 |
关键词: 语音 人机交互 监控系统 远程控制 |
DOI:10.19783/j.cnki.pspc.190991 |
投稿时间:2019-08-19修订日期:2019-09-28 |
基金项目:国家自然科学基金项目资助(41601432) |
|
Application research of speech coding in automated interaction model |
ZHANG Daojie,ZHANG Xinwen |
(XJ Group Corporation, Xuchang 461000, China;School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China) |
Abstract: |
In order to enhance the interactive capability of the ‘internet of things’ automation system, a new human-computer interaction model is constructed using a speech input method and based on a four-layer architecture and input operation mode of a power automation system. A coding principle which can simplify speech input is proposed to tackle the difficulties of human-computer speech interaction of the model. Then with the new interactive model, scheme research is carried out. Finally, it verifies the application in the window system file object operation, window command execution and remote control and other ways. The verification results show that the application of the simplified speech coding automated interactive model could effectively improve human-computer interaction efficiency and promote the development of the power system. This work is supported by National Natural Science Foundation of China (No. 41601432). |
Key words: voice man-machine interaction monitoring system remote control |