Abstract
Aiming at the new requirement of natural language human-computer interaction in the new generation of power grid dispatch and control system, this paper designs and implements intelligent voice interaction service based on the voice engine of companies such as iFLYTEK and SinoVoice, combining the technology of Microservice, Redis database, Word2Vec, etc. By shielding the interface differences of commercial voice engines and providing a simple and consistent service-based interface, it is conducive to the convenient development of voice-related applications in the power grid dispatch and control system. The platform can flexibly change and expand the underlying commercial voice engine according to the actual needs, manage the context in the multi-round dialogue process. It can also store a large amount of voice information to provide support for later data mining and user behavior analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
López G, Quesada L, Guerrero LA (2017) Alexa versus Siri versus Cortana versus Google assistant: a comparison of speech-based natural user interfaces
Jiang N Service recommendation method and apparatus with intelligent assistant: U.S. Patent Application 14/981,247[P]. 2016-5-12
Shan X, Lu X, Zhai M et al (2019) Analysis of key technologies for artificial intelligence applied to power grid dispatch and control. Autom Electr Power Syst 43(1):49–57. https://doi.org/10.7500/aeps20180629002
Bin Y, Bo X, Yuhua H et al (2014) State-of-art and trend of speech interaction for mobile intelligent terminal. Inf Commun Technol
Hongjian L (2018) Analysis on the application of microservice architecture and container technology. Wirel Internet Technol
Shi L, Shao P, Zhang X et al (2017) Discussion on architecture of new-generation electricity trading platform. Autom Electr Power Syst 41(24):67–76. https://doi.org/10.7500/aeps20170614003
Fielding, RT (2000) Architectural styles and the design of network-based software architectures. University of California, Irvine
Chu H, Li M, Xu F et al (2014) ConHA: an SOA-based API Gateway for consolidating heterogeneous HA clusters. In: IEEE international conference on cluster computing. IEEE
Gessert F, Bucklers F, Ritter N (2014) Orestes: a scalable database-as-a-service architecture for low latency. In: IEEE international conference on data engineering workshops. IEEE
Roy N, Pineau J, Thrun S (2000) Spoken dialogue management using probabilistic reasoning. ACL
Gao-Jun L, Di-Ao W (2013) Research of Redis-based distributed storage method for massive small files. Comput Eng Sci 35(10):58–64
Wang Z, Ren H, Lu X (2018) Key technologies of AI in customer service system. Telecommun Sci (12)
Tao L, Cichen W, Huakang L (2017) Development and construction of knowledge graph. J Nanjing Univ Sci Technol
Antonellis I, Bouras C, Poulopoulos V (2006) Personalized news categorization through scalable text classification. In: Asia-pacific web conference. Springer, Berlin, Heidelberg
Hu M, Liu B (2004) Mining and summarizing customer reviews. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, Seattle, Washington, USA, 22–25 Aug 2004. ACM
Zhao M, Xu S, Gao H et al (2016) Strategy of electric vehicle emergency power supply based on fuzzy K-means algorithm. Autom Electr Power Syst 40(5):91–95. https://doi.org/10.7500/aeps20150304001
Yu H-T, Li Z, Yao N-M (2012) Research on optimization method for K-means clustering algorithm. J Chin Comput Syst 33(10):2273–2277
Acknowledgements
This work was supported by the Science and Technology Project of the State Grid Corporation of China: Research and Application of Key Technologies of Common Components of New Generation Grid Dispatch and Control System Platform (新一代电网调度控制系统平台公共组件关键技术研究与应用).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, Z., Sun, J., Gao, F., Zhao, K., Peng, H., Huang, K. (2020). Design and Implementation of Intelligent Voice Service for New Generation of Power Grid Dispatch and Control System. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Lecture Notes in Electrical Engineering, vol 585. Springer, Singapore. https://doi.org/10.1007/978-981-13-9783-7_59
Download citation
DOI: https://doi.org/10.1007/978-981-13-9783-7_59
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9782-0
Online ISBN: 978-981-13-9783-7
eBook Packages: EnergyEnergy (R0)