一种面向AMI主站的数据处理方法、装置、设备及介质

By introducing preprocessing and output constraints into the AMI master station, structured intermediate data is generated, which solves the problem of generating non-executable commands in the AMI master station by large language models, and improves the security and operational efficiency of the AMI master station.

CN121979574BActive Publication Date: 2026-07-17SHENZHEN STAR INSTR

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN STAR INSTR
Filing Date
2026-04-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The meter commands generated by the large language model in the AMI master station lack structured constraints and have problems such as missing fields and type mismatches. This results in the generated content not matching the actual equipment, affecting the safe and stable operation and maintenance efficiency of the AMI master station.

Method used

By introducing preprocessing, knowledge base matching, and output constraints into the AMI master station, structured intermediate data is generated to ensure that the output of the large language model conforms to the underlying communication protocol, forming a closed-loop control, including intent input, evidence support, controlled generation, verification simulation, and gray-scale execution.

Benefits of technology

It significantly improves the security, controllability, and execution efficiency of the intelligent operation of the AMI master station, ensures the stable operation of the master station system, and avoids the risk of misoperation caused by protocol incompatibility.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请涉及电力数据治理领域,公开了一种面向AMI主站的数据处理方法、装置、设备及介质,该方法通过获取意图信息,对所述意图信息进行预处理,得到标准化数据;从预设的知识库中匹配到与所述标准化数据匹配的限制数据,所述知识库用于存储所述标准化数据与所述限制数据的映射关系;将所述标准化数据和所述限制数据输入预设的大语言模型,输出结构化中间数据,所述大语言模型中设置有输出约束,所述输出约束用于禁止所述大语言模型输出底层通信协议报文;根据所述结构化中间数据,生成满足底层通信协议的执行报文,所述执行报文用于被发送到相应的执行设备进行命令执行。本申请提升了AMI主站智能化操作的安全性、可控性与执行效率。
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