Research on the Application of Artificial Intelligence Platform in Quantitative Investment
基于云平台的智能语音交互机器人设计

摘要

目前，随着现行智能配电自动化系统的快速发展，传统的单一的基于鼠标、键盘操作的人机交互已经难以满足控制系统用户的需求。人工智能技术的兴起，特别是语音识别技术等一系列人工智能技术的应用，在国内外取得了重大的理论创新和应用突破，为解决配电网调控运行领域的一些问题提供了帮助。电网设备的负荷与整个电网的安全运行息息相关，而用户数量的增加对配电网的输送能力提出了更高的要求，因此提出了基于人工智能的配电网设备负荷预测分析系统。首先进行了配电网设备负荷预测分析系统的硬件设计，设计了自耦变压器对配电网设备电压进行调节。然后进行配电网设备负荷预测分析系统软件设计，建立配电网设备负荷智能预测模块，设计基于人工智能技术的用户管理模块，设计基于人工智能技术的用户信息模块，最终完成配电网设备负荷预测分析系统设计。通过测试验证了系统的实用性。

Abstract

At present, with the rapid development of the current intelligent distribution automation system, the traditional single man-machine interaction based on mouse and keyboard operation has been difficult to meet the needs of users of the control system. The rise of artificial intelligence technology, especially the application of a series of artificial intelligence technologies such as speech recognition technology, has made significant theoretical innovation and application breakthrough at home and abroad, which provides help to solve some problems in the field of distribution network regulation and operation. The load of power grid equipment is closely related to the safe operation of the whole power grid, and the increase of the number of users puts forward higher requirements for the transmission capacity of the power distribution network, so the load prediction and analysis system of power distribution network equipment based on artificial intelligence is proposed. Firstly, the hardware design of the load prediction and analysis system of the distribution network equipment is carried out, and the autotransformer is designed to adjust the voltage of the distribution network equipment. Then the distribution network equipment load prediction and analysis system software design, establish the distribution network equipment load intelligent prediction module, design the user management module based on artificial intelligence technology, design the user information module based on artificial intelligence technology, and finally complete the distribution network equipment load prediction and analysis system design. The practicability of the system is verified by the test.