一种基于AI的表计设备交互控制方法、装置及电子设备

By using an AI-based interactive control method for metering equipment, and leveraging the bidirectional attention fusion of contextual feature vectors and knowledge graphs, the problem of low operational efficiency and poor control accuracy in traditional metering equipment management systems is solved, achieving efficient and accurate user intent recognition and equipment control.

CN122045380BActive Publication Date: 2026-07-17HEXING ELECTRICAL CO LTD +4
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEXING ELECTRICAL CO LTD
Filing Date
2026-04-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional meter equipment management systems suffer from low operational efficiency, high personnel training costs, difficulty in adapting to new demands, weak natural language processing capabilities, and poor accuracy of control commands.

Method used

The AI-based interactive control method for metering devices constructs contextual feature vectors, dynamically updates a preset dictionary, and combines knowledge graphs and bidirectional attention fusion to generate collaborative attention features, thereby recognizing user intentions and triggering device control commands.

Benefits of technology

It achieves accurate recognition of user natural language commands and device control, improves operational efficiency, reduces training costs, is highly adaptable, and can handle regional expressions.

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Abstract

本说明书实施例公开了一种基于AI的表计设备交互控制方法、装置及电子设备。该方法包括构建上下文特征向量,以动态更新预设词典库内各标准术语的权重;基于AI模型读取用户在当前对话中输入的自然语言指令后,由预设词典库生成自然语言指令对应的第一语义向量,并由知识图谱生成图谱感知向量,以生成协同注意力特征;基于上下文特征向量对第一语义向量进行注意力聚焦,得到第二语义向量;基于协同注意力特征和第二语义向量融合生成意图特征向量,并确定目标意图向量,以触发目标意图向量对应的设备控制指令,并返回设备控制结果。在本实施例中,即使用户进行了地域性表达,也能够对用户的意图进行较为准确的识别,提高设备控制的准确性。
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Citation Information

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