NOTQIN Ecosystem Map
What Is NOTQIN?
NOTQIN is an integrated industrial intelligence platform for Moroccan textile (and broader industrial) factories. It addresses three urgent pressures on Moroccan manufacturers:
- CBAM pressure — EU Carbon Border Adjustment Mechanism penalties from 2027 for exporters
- ONEE energy tariffs — Rising energy costs, peak-hour pricing in Morocco
- European buyer compliance — H&M, Inditex, Zara require energy efficiency + carbon documentation
Ecosystem Overview
Physical Layer
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ESP32 sensors on 8+ Jacquard looms
(power, vibration, temperature, fabric tension, RFID batch)
│ MQTT
▼
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Data Layer: notqin (Core IoT Platform)
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Mosquitto → NiFi → Apache Flink → InfluxDB
↓
Grafana Dashboards
Prometheus Metrics
Redis (digital twin state)
│
├─→ notqin-grid → Kafka → TimescaleDB → LSTM/Prophet forecasting
│
─────────────────────────────────────────────────────
Intelligence Layer
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├─→ notqin-agent → CBAM compliance copilot (regulatory AI)
├─→ notqin-agent-v2 → IEIA: energy anomaly investigation (operational AI)
└─→ notqin-physics → Physics-informed maintenance recommendations
─────────────────────────────────────────────────────
Visualization Layer
─────────────────────────────────────────────────────
└─→ NOTQINVR → Unity AR/VR digital twin
(VR: factory walk-through on PC/Quest 2)
(AR: live sensor overlay on phone at loom)
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Research Layer
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└─→ notqin-research → 4-paper ML research series (CBAM/NILM/Bayesian/Causal)
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Learning/Collaboration
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└─→ notqin-competition → Team sandbox (ENSA students)
Project Index
| Project | Role | Stack | Status |
|---|---|---|---|
| NOTQIN Core | IoT platform | Python + MQTT + InfluxDB + Flink + Grafana | ✅ Production-ready |
| NOTQIN IEIA | Energy anomaly AI | Python + FastAPI + Claude API + PostgreSQL + Redis | ✅ Production-ready (Wave 0–20) |
| NOTQIN Agent | CBAM compliance AI | Python + FastAPI + Claude via LiteLLM | 🔄 Early (3 commits) |
| NOTQIN Physics | Physics-informed AI | Python + FastAPI + SymPy + SciPy + Claude | 🔄 MVP ready |
| NOTQIN Research | 4-paper CBAM ML series | Python + PyTorch + NumPyro + Tigramite | 🔄 Papers 1–3 runnable |
| NOTQINVR | AR/VR digital twin | Unity 6 + URP + AR Foundation + InfluxDB | 🔄 VR done, AR scaffolded |
| NOTQIN Grid | Load forecasting ML | Python + Kafka + TimescaleDB + LSTM + Prophet | ✅ Production-ready |
| NOTQIN Competition | Team sandbox | Multi-team template | 🔄 Skeletal |
User Roles Per Tool
| User Role | Tool | Use Case |
|---|---|---|
| Export compliance officer | NOTQIN Agent | ”What’s our CBAM exposure this quarter?” |
| Factory operations manager | IEIA | ”Why did loom MTX-007 spike 23%?” |
| Maintenance technician | NOTQINVR (AR) | Scan loom → see live sensor data + repair steps |
| Factory director | NOTQINVR (VR) + Grafana | Walk-through of digital twin, monitor all looms |
| Data scientist / researcher | NOTQIN Research | Run CBAM ML experiments |
| Demand planner | NOTQIN Grid | Forecast next-week loom energy consumption |
Strategic Position
This ecosystem is not just a portfolio project — it is the basis of a real product thesis:
Moroccan industrial SMEs need an integrated, locally-adapted intelligence platform that combines real-time IoT monitoring, AI-powered anomaly investigation, CBAM compliance reporting, and physics-informed maintenance — at a price point accessible to factories with 50–500 employees.
This maps directly to the Industrial Energy Intelligence product in the broader DigiTPME strategy.