README.md

metadata

title: SteelAI Module2 EAF Intelligence Explorer
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
  - streamlit
pinned: false
short_description: Part of the TenderMatcher.Tech AI & Digital Intelligence
license: other
persistent_storage: 1Gi

🏭 SteelAI Module #2 — Blast Furnace & EAF Data Intelligence Explorer

Part of the TenderMatcher.Tech AI & Digital Intelligence for Metallurgy Suite

Ready-to-deploy Streamlit + SHAP application for energy and yield optimization in
Blast Furnace and Electric Arc Furnace (EAF) operations.

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🎯 Objective

Predict and optimize key furnace variables such as:

• furnace_temp
• tap_temp
• offgas_co, offgas_co2, o2_probe_pct
• arc_power, energy_efficiency, yield_ratio

This module simulates a complete furnace data intelligence environment with ensemble modeling, SHAP explainability, and physics-informed feature engineering.

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⚙️ Core Features

• 🧠 Synthetic EAF dataset generator (3,000+ records)
• 🧮 Derived physical proxies:
  • carbon_proxy, oxygen_utilization, slag_foaming_index
• 🔍 PCA and clustering for operating modes
• ⚙️ Ensemble regression (Linear, RF, GB, ExtraTrees)
• 💡 SHAP explainability for model transparency
• 📊 Business framing & annotated bibliography for metallurgy ML
• 🧾 Fully local synthetic data generation (no external upload needed)

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🧮 Use Case Alignment (SteelAI Framework)

#	Use Case	Alignment	Description
2	Blast Furnace / EAF Data Intelligence	✅ Primary (100%)	Furnace temperature, gas chemistry, and power-density modeling for yield & energy optimization
7	AI-Driven Alloy Design Tool	⚙️ Partial	Shares compositional features (chemical_C, chemical_Mn, etc.)
8	Predictive Maintenance Framework	⚙️ Partial	Includes rolling, lag, and vibration signals for maintenance AI

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💡 Example Targets

• Predict furnace_temp from operational data
• Analyze feature importance with SHAP plots
• Quantify business value:
  • 5–8% yield improvement
  • 3–5% energy cost reduction per ton

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🧰 How to Run Locally

pip install -r requirements.txt
streamlit run app.py

Then open the local URL shown in your terminal (typically http://localhost:8501).

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🌐 Deploy on Hugging Face

1. Create a Space → choose SDK: Streamlit
2. Upload:
   • app.py
   • requirements.txt
   • README.md
3. Hugging Face automatically installs dependencies and builds your Space.

Your app will be live at:

https://huggingface.co/spaces/singhn9/SteelAI_Module2_EAF_Intelligence_Explorer

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🏭 Business Value Snapshot

Dimension	Improvement	Impact
Productivity	+8–15% throughput	Higher process stability
Energy efficiency	3–8% reduction	Lower cost per ton
Quality control	10–15% better rejection precision	Fewer off-grade batches
R&D cycle	25–35% faster property correlation	Shorter design-to-validation loop
Predictive reliability	7–10% OEE gain	Reduced downtime

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🤖 Generative AI & Industrial Innovation

Beyond process modeling, TenderMatcher.Tech extends AI into Generative domains:

• Knowledge-Graph Assistant — links research papers, alloy data & insights
• Chat-based Technical Advisor — LLM-powered metallurgical Q&A
• Generative Report Builder — auto-creates lab summaries & dashboards

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🔗 AI–ServiceNow Integration Mapping

#	AI Module	ServiceNow Integration	Business Value
1	Steel Property Prediction	QMS, Predictive Intelligence	QA traceability & ISO/BIS compliance
2	Blast Furnace Intelligence	OT IntegrationHub, EHS	Closed-loop efficiency alerts
3	Microstructure Classifier	KM, AI Search	Metallography knowledge base
4	Surface Defect Detection	FSM, Predictive Intelligence	Real-time defect case auto-routing
5	Corrosion/Fatigue Prediction	ORM, Asset Mgmt	Predictive asset health
6	Energy Optimizer	Sustainability Mgmt	ESG-linked savings reporting
7	Alloy Design Tool	Innovation Mgmt, KM	R&D portfolio tracking
8	Predictive Maintenance	AIOps, FSM, CMDB	10–12% downtime reduction

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👨‍🔬 About Naval Singh

Naval Singh — Digital Transformation Advisor
Specializing in AI, analytics, and industrial systems.
Focused on production-grade decision systems for metallurgy, mining & manufacturing.

📧 singhn9@gmail.com
🔗 LinkedIn
📍 Rourkela, India

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🌍 Why Rourkela Matters

Rourkela — India’s steel and metallurgy hub — provides the perfect ecosystem for AI pilot collaborations among academia, consulting, and industry.

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© TenderMatcher.Tech — AI & Digital Intelligence for Metallurgy
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