Research Article
Research and Application of Intelligent Scheduling Method Based on AI Voice Interaction
@INPROCEEDINGS{10.4108/eai.24-5-2024.2350043, author={Tiankun Wang and Yanan Cao and Xiaohua Yan and Ruofei Liu}, title={Research and Application of Intelligent Scheduling Method Based on AI Voice Interaction}, proceedings={Proceedings of the 3rd International Conference on Art Design and Digital Technology, ADDT 2024, May 24--26, 2024, Luoyang, China}, publisher={EAI}, proceedings_a={ADDT}, year={2024}, month={9}, keywords={intelligent voice interaction; intelligent scheduling methods; state of the art; commonly used techniques; optimisation paths}, doi={10.4108/eai.24-5-2024.2350043} }- Tiankun Wang
Yanan Cao
Xiaohua Yan
Ruofei Liu
Year: 2024
Research and Application of Intelligent Scheduling Method Based on AI Voice Interaction
ADDT
EAI
DOI: 10.4108/eai.24-5-2024.2350043
Abstract
With the increasing demand of energy enterprises for the effectiveness and efficiency of production operation data and the implementation of operation system scheduling, the traditional way exists the problems of many search steps, many interfaces, and many data layers, and the whole process is cumbersome and inaccurate, which has been difficult to meet the actual business scenarios, and the intelligent scheduling of voice is aimed at improving the scheduling efficiency and optimizing the allocation of resources utilizing voice recognition and other technologies. This paper takes intelligent voice interaction as the research object, explains its concept, principle and advantages, analyzes the current application status of intelligent voice interaction in the field of intelligent scheduling, and introduces voice recognition technology, natural language understanding technology, dialogue management technology and intelligent scheduling algorithm technology of intelligent voice interaction. It is proposed to enhance the intelligent voice interaction experience by improving the voice recognition rate, optimizing the voice interaction design and strengthening the intelligent analysis capability, and finally further discusses the application of intelligent scheduling methods of intelligent voice interaction by taking the energy enterprise management and control platform as an example.