UjjwalBharat.AI

SmartPlantIQ

AI platform for process industries — real‑time KPIs, predictive maintenance, soft sensors, and economic optimization across units and sites.

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Live Demo Dashboard

Select a site, unit, and time window to see KPIs, energy & emissions, reliability, and recommendations.

OEE
91.3%
▲ +1.2% w/w
Energy Intensity
3.58 GJ/t
▼ −4.3% vs baseline
CO₂ Intensity
0.31 tCO₂/t
▲ +2.1% w/w

Live Alerts

Auto triaged

    Remaining Useful Life (RUL)

    Critical assets
    Pump P‑101A
    Exchanger HX‑2240
    Compressor K‑301

    Fouling Factor by Exchanger

    Top 6

    Steam & Utilities Balance

    t/h

    Soft Sensors — Key Qualities

    Naphtha T‑95
    177°C
    MAE 0.9°C (7d)
    Diesel Sulfur
    6.2 ppm
    MAE 0.4 ppm
    RON Blend
    92.1
    Drift +0.3
    VCM Purity
    99.6%
    Stable

    Economic Impact

    real‑time $/h
    Drivers: furnace efficiency, heat‑recovery uplift, throughput debottlenecking, product giveaway reduction.

    Asset Tree — Preheat Train

    • HX‑1240A (OK)
    • HX‑2240B (DP rising)
    • HX‑2240C (Stable)
    • Pump P‑101A (Vibration)
    • Pump P‑101B (OK)

    AI Recommendations

    ranked by $ impact
    Action Rationale Est. $/d
    Advance clean for HX‑2240 DP trend > 95th percentile; HAT drift +3.2°C $18,400
    CCR severity +0.2 to meet RON Soft sensor RON 92.1 with −0.3 bias $9,700
    Steam header re‑balance LP venting spikes at shifts; recover to MVR $6,200

    Recent Anomalies

    auto detected
    Timestamp Signal Score Status

    Capabilities

    • ⚙️ Real-time KPI fabric (OEE, energy, emissions, quality)
    • 📈 Predictive maintenance & RUL with multi-sensor fusion
    • 🧠 Hybrid AI soft sensors (first-principles + ML)
    • 🛢️ Heat exchanger fouling management
    • 🔥 CCR & reactor optimization for yield/severity trade‑offs
    • 🌍 Steam/utilities orchestration & CO₂ intensity minimization

    Tech Stack

    • • Backend: Django / FastAPI · Jobs: Celery/Dramatiq
    • • Frontend: React + Tailwind + Chart.js
    • • Data: PostgreSQL / TimescaleDB
    • • Streaming: WebSockets · Alerts: Rules + ML
    • • Integrations: PI/IP.21, OPC UA, SAP
    • • Hosting: AWS EC2 + Nginx

    Security & Ops

    • • Role‑based access & audit trail
    • • Namespaced tenants per site
    • • Data provenance on every KPI
    • • Snapshotting & backfills for model drift
    • • Observability: metrics, tracing, structured logs

    Business Impact

    %

    Improved throughput

    %

    Lower energy per ton

    %

    Reduced downtime

    $m

    Annualized savings

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