多轮对话技术及其在电网数据查询中的应用

With the integration of information technology and traditional industries, it has become a trend to use computer-controlled machines instead of humans to perform repetitive, boring and even dangerous tasks. In order to effectively interact with computers in natural language, human-computer interaction and dialogue systems based on multi-turn dialogue technology have become a research hotspot in the field of artificial intelligence and natural language processing. In the grid control system, the dispatcher needs to do a large number of query operations manually. To reduce the complexity of existing dispatching system and improve the speed of emergency handling of dispatchers, multi-turn dialogue technology can be applied to realize intelligent voice query of power grid data. This paper first describes the basic architecture of the task-oriented multi-turn dialogue system, including functions and related algorithms of its three modules: natural language understanding, dialogue management, and natural language generation. Next, in order to meet the demand of power grid companies for specific scenarios such as intelligent data queries, this paper designs and implements a multi-module task-oriented multi-turn dialogue system which consists of natural language understanding module, dialogue management module, natural language generation module and knowledge base as core modules. The grid dispatcher can ask the system questions and get answers in the form of natural language. This process does not require keyboard or mouse operations, which greatly improves the rapidity and convenience of the grid information query.