---
id: wiki-2026-0508-scada
title: SCADA
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [Supervisory Control and Data Acquisition, ICS SCADA]
duplicate_of: none
source_trust_level: A
confidence_score: 0.9
verification_status: applied
tags: [scada, ot, ics, security, industrial]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: Python
  framework: OPC-UA / Modbus
---

# SCADA

## 매 한 줄
> **"매 plant floor 의 control plane — 매 sensor → PLC → HMI → historian 의 closed loop"**. 매 1960s mainframe-based supervisory system 으로 출발 → 매 2026 cloud-connected IoT/OT 플랫폼 (AWS IoT SiteWise, Azure Digital Twins) 으로 진화. 매 critical infrastructure (power grid, water, oil&gas) 의 backbone — 매 Stuxnet/Colonial Pipeline 사태 이후 OT cybersecurity 가 국가 안보 의제.

## 매 핵심

### 매 Architecture stack
- **Field layer**: sensors, actuators, RTU (Remote Terminal Unit).
- **Control layer**: PLC (Programmable Logic Controller) — Allen-Bradley, Siemens S7, Schneider M580.
- **Supervisory layer**: SCADA server, HMI (Human-Machine Interface), historian (OSIsoft PI, AVEVA).
- **Enterprise layer**: MES → ERP → cloud analytics.

### 매 Protocols
- **Legacy**: Modbus (TCP/RTU), DNP3, IEC 60870-5-104, Profibus.
- **Modern**: OPC UA (TLS-secured, pub-sub), MQTT Sparkplug B.
- **Time-sync**: PTP (IEEE 1588) for sub-microsecond.

### 매 응용
1. Power grid SCADA (transmission, distribution automation).
2. Water/wastewater treatment.
3. Oil & gas pipeline monitoring.
4. Manufacturing (steel, semiconductors, pharma).
5. Smart building / HVAC.

## 💻 패턴

### Modbus TCP read (Python pymodbus)
```python
from pymodbus.client import ModbusTcpClient

client = ModbusTcpClient('192.168.1.10', port=502)
client.connect()
# Read 10 holding registers from address 0
result = client.read_holding_registers(address=0, count=10, slave=1)
if not result.isError():
    print(f"Pressure (bar): {result.registers[0] / 100.0}")
client.close()
```

### OPC UA secure client (asyncua)
```python
import asyncio
from asyncua import Client

async def main():
    url = "opc.tcp://plant-scada:4840"
    async with Client(url=url) as client:
        await client.set_security_string(
            "Basic256Sha256,SignAndEncrypt,cert.pem,key.pem"
        )
        node = client.get_node("ns=2;s=Reactor1.Temperature")
        async for msg in node.subscribe_data_change():
            print(msg)

asyncio.run(main())
```

### MQTT Sparkplug B publish
```python
import paho.mqtt.client as mqtt
from sparkplug_b import getNodeBirthPayload, addMetric, MetricDataType

client = mqtt.Client("EdgeNode1")
client.tls_set("ca.crt")
client.connect("broker.plant.local", 8883)

payload = getNodeBirthPayload()
addMetric(payload, "Temp", None, MetricDataType.Float, 72.3)
client.publish("spBv1.0/Plant1/NBIRTH/Edge1", payload.SerializeToString())
```

### Anomaly detection on historian stream
```python
from river import anomaly  # online learning

detector = anomaly.HalfSpaceTrees(seed=42, n_trees=25)
for ts, val in historian_stream("Boiler.Pressure"):
    score = detector.score_one({"v": val})
    if score > 0.85:
        alert(f"Anomaly @ {ts}: {val} (score={score:.2f})")
    detector.learn_one({"v": val})
```

### PLC-to-cloud bridge (AWS IoT SiteWise)
```python
import boto3

sitewise = boto3.client("iotsitewise")
sitewise.batch_put_asset_property_value(entries=[{
    "entryId": "e1",
    "assetId": ASSET_ID,
    "propertyId": PROP_ID,
    "propertyValues": [{
        "value": {"doubleValue": 72.3},
        "timestamp": {"timeInSeconds": int(time.time())},
        "quality": "GOOD",
    }]
}])
```

### Network segmentation (Purdue model)
```yaml
# Level 0-1: field/control — air-gapped or unidirectional
# Level 2: SCADA/HMI — restricted VLAN
# Level 3: site operations (MES) — DMZ between OT/IT
# Level 3.5: OT DMZ — data diode, jump host
# Level 4-5: enterprise IT — firewall enforced
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| Greenfield critical infra | OPC UA + Sparkplug B + zero-trust |
| Brownfield Modbus plant | Protocol gateway (Kepware, HighByte) |
| Cloud analytics needed | AWS SiteWise / Azure Digital Twins via data diode |
| Sub-ms control loop | Keep on-prem PLC, no cloud |

**기본값**: OPC UA over TLS + MQTT Sparkplug B + Purdue segmentation.

## 🔗 Graph
- 부모: [[Industrial-IoT]]
- 응용: [[Predictive Maintenance]]
- Adjacent: [[Digital Twin]] · [[Edge Computing|Edge-Computing]]

## 🤖 LLM 활용
**언제**: alarm summarization, anomaly RCA from historian text, operator copilot for procedure lookup.
**언제 X**: closed-loop control (latency, safety, determinism — never let LLM directly actuate).

## ❌ 안티패턴
- **Flat network**: SCADA on same VLAN as office IT — Stuxnet/Colonial Pipeline pattern.
- **Default creds**: PLC web UI with admin/admin exposed to internet (Shodan-discoverable).
- **Patching frozen**: "we can't patch, plant runs 24/7" — schedule maintenance windows.
- **Cloud as primary control**: cloud should be observability/analytics, not safety-critical actuation.

## 🧪 검증 / 중복
- Verified (NIST SP 800-82r3, IEC 62443, OPC Foundation).
- 신뢰도 A.

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — SCADA architecture, protocols, OT security patterns |
