ML - Just-do-it (hands on) Basics, of Machine Learning
2026-03-01.
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概念、习惯用语对照表 #
| 类别 | 传统叫法 | IEC 61850 建模方式 | IEC 61850 常见类型 | fc (Functional Constraint 功能约束) | 数据形态 | 典型内容 | 常见服务 | 四遥对应 | 备注 |
|---|---|---|---|---|---|---|---|---|---|
| 状态量 | DI (Digital Input 数字输入), DO (Digital Output 数字输出) | Data Object (数据对象) + Data Attribute (数据属性) + Functional Semantics (功能语义) | SPS (Single Point Status 单点状态), DPS (Double Point Status 双点状态), INS (Integer Status 整数状态), ENS (Enumerated Status 枚举状态) | ST (Status 状态) | 离散量 | 位置、告警、动作、闭锁 | 读、上送 | 遥信 | 状态类 |
| 模拟量 | AI (Analog Input 模拟量输入) | Data Object (数据对象) + Data Attribute (数据属性) + Functional Semantics (功能语义) | MV (Measured Value 测量值), CMV (Complex Measured Value 复数测量值/复合测量值) | MX (Measured Value 测量值) | 模拟量 | 电流、电压、功率、频率、温度 | 读、周期上送、变位上送 | 遥测 | 测量类 |
| 控制 | DO (Digital Output 数字输出) | Data Object (数据对象) + Data Attribute (数据属性) + Functional Semantics (功能语义) | SPC (Single Point Controllable 单点可控), DPC (Double Point Controllable 双点可控) | CO (Control 控制) | 命令 | 分、合、启、停、投退、复归 | 选执、直执 | 遥控 | 控制类 |
| 调节 | AO (Analog Output 模拟量输出) | Data Object (数据对象) + Data Attribute (数据属性) + Functional Semantics (功能语义) | INC (Integer Controllable 整数可控), APC (Analogue Setpoint Controllable 模拟设定值可控) | SP (Set Point 设定值) / SG (Setting Group 定值组) / SE (Setting Group Editable 可编辑定值) | 数值 / 组态 / 参数 | 目标值、给定值、限值 / 组号、切组、活动组 / 整定值、延时、门槛、限值 | 读、写 / 读、切换 / 读、写、整定 | 遥调 | 设点类 / 定值组类 / 定值编辑类 |
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
实现方案 #
| 方案 | 使用环境(你能怎么跑它) | 开源/许可 | 开源项:主要编程语言 | A:客户端写入/控制 | B:手动改值(GUI 点点改) | 自动变化/曲线仿真 | SCL 导入 | 备注 |
|---|---|---|---|---|---|---|---|---|
| Redisant IEC61850 服务端、客户端模拟器(免费版适合玩) | 原生安装包:Windows / Apple Silicon / Apple Intel / Linux | 闭源商用;有试用但过期 | 不适用 | 有 | 有 | 有 | 页面未细写导入方式 | 付费版功能覆盖:报告/定值组/文件/GOOSE 等(免费版不能改数据) |
| robidev/iec61850_open_server + iec61850_open_client (2026-03 尚在开发,GGIO 都不支持) | 推荐 Docker Compose 一键跑;宿主机可为 Windows/Linux/macOS(只要装 Docker)。client 也可本机 Python 直接跑 | 开源 Apache-2.0,但是依赖 libiec61850 的 GPLv3 可能影响合规 | open_server: Python + C + Java 为主;open_client: Python + JavaScript 为主 |
有 | 有(浏览器 UI 里点数据写值/控制;仿真 tab 可 modify) | 有(play/pause + modify 仿真量) | .scd(示例/说明里用 scd 实例化) |
最接近 " 免费版商用 GUI 仿真器 " 的体验 |
| st-ing/61850-sim | 设计为 Docker 容器运行(宿主机 Windows/Linux/macOS 均可,只要 Docker) | 开源 | C | 作为 MMS server 可被客户端访问(但它核心是仿真端自动更新) | 不主打(更偏自动跑数,不是 GUI 逐点编辑器) | 强(频率/系数/随机/正弦等配置) | ICD/CID/IID(挂载到容器) | 适合批量起很多 IED/压测(README 提到可扩展到 200 IED) |
| beanit/IEC61850bean(OpenIEC61850) | Java:Windows/Linux/macOS(有 JVM 就行) | 开源(Apache-2.0) | Java | 有 | 默认没有 “server 侧 GUI 改值 “;一般是你自己写脚本/界面/API 去改模型值 | 取决于你怎么写(可编程驱动) | 有相关 SCL/模型能力(用于 server/client) | 更像 " 自己做可控模拟器 " 的底座 |
| OpenMUC IEC 61850 Server service | Java:Windows/Linux/macOS(有 JVM 就行) | 开源(按 OpenMUC 发布) | Java(OpenMUC 自述为 pure Java) | 主要是把 OpenMUC channel 的新数据映射/推送到 server | 不主打 GUI 手改(更偏配置映射) | 取决于数据源(CSV/采集/脚本) | .cid + channels.xml mapping |
更像工程化 " 数据管道 + 61850 Server 映射 " |
ps:
Redisant IEC61850 服务端没有把 ICD 里的 brcbDinA-F、urcbAinA-F 和 dsParameter1 真正对外提供, asdf.icd 文件里“声明了”这些报告控制块和数据集,但实际服务端进程,并没有真的把它们建出来并开放给客户端访问。 更具体一点:
- ICD 里有名字,比如 brcbDinA-F、urcbAinA-F、dsParameter1,所以客户端按这个名字去做 GI 或 readDataSetValues() 是合理的。
- 各种客户端调用都失败,这通常说明服务端运行时模型里没有这些对象,或者对象没启用/没绑定到真实点值。
- 在 IEC 61850 里,ICD 只是配置/描述文件,不等于服务端实现本身。服务端程序必须根据这个模型真正创建 DataSet、ReportControlBlock,并把它们关联到实际的数据点,客户端才能总召或读 dataset。
- 你现在这个本地 demo 服务端更像是“只实现了少量单点读写示例”,没有把 ICD 里那套完整的 LLN0 dataset/RCB 体系同步实现出来,所以客户端按名字访问时拿不到东西。 简单理解就是:
- asdf.icd 说“应该有这些总召/数据集对象”
- 但 8102 上正在跑的服务端代码,没有真正“按这个 ICD 把对象做出来” 所以才出现:
- 客户端代码没报连接失败
- 但 GI 和 dataset read 都读不到实际结果
refs: S1 https://redisant.cn/iec61850server S2 https://github.com/robidev/iec61850_open_server S3 https://github.com/robidev/iec61850_open_client S4 https://github.com/st-ing/61850-sim S5 https://www.beanit.com/iec-61850/ S6 https://www.beanit.com/iec-61850/user-guide/ S7 https://www.openmuc.org/solutions/ S8 https://www.openmuc.org/openmuc/user-guide/