白皮书
MQTT + 大模型：实时智能融合架构与实践 → 
利用 AI 构建智能、敏捷的电力物联网系统
核心能力
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电力设备实时数采
实时采集 Modbus、OPC-UA、IEC 等多协议电力数据，转换为 MQTT 上传平台，支持高效存储、处理、分析与决策。
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电力物联数据时序存储
为海量电力物联网数据提供时序存储，具备高效写入、向量检索、存算/读写分离及高压缩比特性。
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边缘智能计算
电力场站侧实现实时数据流处理和 AI 分析，助力异常监测、数据预处理、清洗与特征提取。
云边协同管理
统一管理平台实现数据采集和边缘服务的远程配置、监控、告警推送，实现边缘服务全生命周期管理。
电力数据链路智能监测
全链路监控、跟踪、分析复杂系统中数据传输状态，确保的数据高质量、可用性和可靠性。
多模态数据集成 AI 大模型
融合电力时序、链路追踪、运维知识库等多模态数据，通过 MCP 协议集成大模型，驱动自动化运维与智能化决策。