多轮对话技术及其在电网数据查询中的应用

Multi-turn Dialogue Technology and Its Application in Power Grid Data Query

随着信息技术与传统行业的相互融合,使用计算机控制的机器替代人类进行一系列重复、枯燥甚至危险的工作已成为一大趋势。为利用自然语言与计算机进行有效的交互,基于多轮对话技术的人机交互与对话系统应运而生,并已成为当前人工智能与自然语言处理领域的研究热点。电网调控系统中存在大量查询操作,需要调度员手动操作数据管理系统。利用多轮对话技术实现电网数据的智能化查询,可解决现有调度系统操作流程复杂低效的问题,大大提高了调度员对紧急情况的处理速度。文中首先阐述了任务导向型多轮对话系统的基本架构,以及自然语言理解、对话管理、自然语言生成3个模块的功能与相关算法。然后,为满足电网公司对数据智能查询等特定场景的需求,设计并实现了一个多模块级联式的任务导向型多轮对话系统。该系统主要由自然语言理解模块、对话管理模块、自然语言生成模块和知识库4个核心部分组成。电网调度员可使用自然语言的形式向该系统询问其所希望获得的信息,并得到相应的回复。该过程无需键盘和鼠标的操作,大大提高了电网信息查询的快捷性与便利性。

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 mo-dules.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.