ARES-E | Analytics Dashboard

⚡ PUE -- Target: < 1.20

⚡ Grid Stability -- Target: > 90%

⚡ GPU Utilization -- AI Workload

⚡ Renewable Mix -- Target: > 50%

💧 Pressure -- Target: 60-80 PSI

💧 Turbidity -- Limit: < 1.0 NTU

💧 SCADA Uptime -- Target: > 99.9%

🏥 ED Occupancy -- Alert: > 85%

🏥 ICU Occupancy -- Alert: > 80%

🏥 ILI Signal -- EARS-C2 Threshold: 3.0

📊 ARES-E Score -- Grade: A-

🚨 Surge Level GREEN Protocol Status

📡

Real-Time Telemetry

Streaming at 0.5 Hz (2-second intervals)

--:--:--

SYSTEM Dashboard initialized. Monitoring all modules.

PUE Health

UPS Charge

Cooling Load

Pressure

Tank Level

ED Capacity

ICU Capacity

Vent Avail.

🏥

PHIAK — Capacity Monitoring

Privacy-Aware | Zero PII/PHI | Aggregated Data Only

📊

LOE Benchmark & Forecasting

Lines of Effort 1 & 2 — Cross-Domain Assessment

LOE 1 — MTTD Score 91.2

LOE 1 — False Positive Rate 3.4%

LOE 2 — Latency Reduction 43.8%

LOE 2 — Escalation Accuracy 92.6%

89.4

ARES-E Composite Score

A- · PROCEED TO PILOT

Module Metric Forecasts

Module	Metric	Current	+24h	+7d	Trend

🧪

DDIL Simulation Results

Denied, Degraded, Intermittent, or Limited — Resilience Testing

Scenario	Module	Score	Status	Key Metric

🏗️

System Architecture

ARES-E Deployment Stack & Data Flow

  ┌──────────────────────────────────────────────────┐
  │       ARES-E Evaluation Orchestrator             │
  │       (Dashboard Controller — dashboard.js)       │
  ├─────────────┬─────────────────┬──────────────────┤
  │    EWIS     │      WOIK       │     PHIAK        │
  │   Energy/   │     Water/      │    Public        │
  │   Weather   │    Hydraulic    │    Health        │
  │             │                 │  (Privacy-Aware)  │
  ├─────────────┴─────────────────┴──────────────────┤
  │   Synthetic Data Engine (synthetic-data.js)       │
  │   └─ Diurnal cycles, noise, anomaly injection    │
  ├──────────────────────────────────────────────────┤
  │   Alert Engine (alerts.js) + Forecast (forecast)  │
  │   └─ 18 threshold rules, EMA/OLS forecasting     │
  ├──────────────────────────────────────────────────┤
  │   Chart.js Visualization Layer (charts.js)        │
  │   └─ 8 real-time charts, dual-axis, radar        │
  ├──────────────────────────────────────────────────┤
  │   Privacy Guard — Zero PII/PHI by Architecture    │
  ├──────────────────────────────────────────────────┤
  │   Edge Runtime (GitHub Pages / Cloudflare Workers) │
  └──────────────────────────────────────────────────┘

  Data Flow:
  Synthetic Telemetry → Normalization → Anomaly Injection
  → Alert Evaluation → Chart Rendering → KPI Updates
  → Forecast Projection → Operator Decision Support

This dashboard uses 100% synthetic data for demonstration purposes.

Data Sources: All telemetry is generated client-side by the Synthetic Data Engine using seedable pseudo-random number generators (Mulberry32 PRNG) with diurnal cycles, Gaussian noise, and probabilistic anomaly injection.

Privacy: PHIAK health metrics are always population-level aggregates. Zero individual patient data (PII/PHI) is generated, stored, or transmitted. Compliant with HIPAA Safe Harbor (45 CFR §164.514(b)).

Security: No data leaves the browser. All computation runs client-side. No external API calls, no cookies, no tracking.

Source Code: github.com/DaScient/ARES-E — MIT Licensed. Fully open-source and auditable.