Method and system for intelligent device data protocol conversion and standardized format definition

By employing a layered architecture and automated processing mechanisms, the system addresses the challenges of high development costs, low integration efficiency, and consistency issues in data interaction between smart devices. It enables unified access and efficient data conversion for devices with multiple protocols, thereby improving system scalability and the accuracy of data analysis.

CN122420408APending Publication Date: 2026-07-17
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-04-03
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, data interaction between smart devices suffers from high development and maintenance costs, low data integration efficiency, poor system scalability, and difficulty in ensuring data consistency. In particular, when connecting to multiple brands and types of smart devices, repeated development of interface programs and increased hardware investment costs are required, and differences in data formats lead to frequent manual configuration errors.

Method used

The system adopts a layered architecture design, including a smart device layer, a protocol conversion layer, and a format standardization layer. It uses a pre-trained protocol type recognition model to dynamically load the protocol parsing driver, and uses a rule engine and feature matching model to automatically process field mapping and unit conversion, thereby achieving standardized data format conversion.

Benefits of technology

It reduces development and maintenance costs, improves data integration efficiency and system scalability, ensures data consistency, meets real-time business needs, and enhances the accuracy and reliability of data analysis.

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Abstract

本发明公开智能设备数据协议转换与标准化格式定义方法和系统,该方法包括:多种智能设备采集并输出原始数据;协议转换层接收协议数据流,利用协议类型识别模型对协议特征进行分析以识别协议类型,并动态加载对应的协议解析驱动程序对数据流进行解码,提取有效负载信息并转换为统一的中间数据;格式标准化层基于标准数据模型与映射和计算规则对中间数据进行比对,识别差异项,并通过规则引擎、特征匹配模型或字段对齐算法对差异项执行字段映射和单位换算的自动化处理以生成待校验数据,校验其与标准数据模型的符合性,从而输出标准化数据;数据输出层将标准化数据分发至外部应用系统,实现智能设备数据的统一解析、规范化表达与互操作性增强。
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Citation Information

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