EQ Syntropy

EQ Syntropy is a cyber-physical AI (CPAI) framework — AI whose reasoning is grounded in continuous physical measurement from EQ Wave sensors via EQ Coherence. It runs analyses continuously (event detection, compliance monitoring) and on demand (natural language queries, root cause investigation, report generation).

Event Detection and Classification

EQ Syntropy analyzes the waveform and metric streams that EQ Coherence records:

• Voltage events: Sags, swells, and transients detected per-phase with severity scoring based on depth, duration, and recovery characteristics
• Harmonic analysis: FFT-based harmonic extraction (orders 1–50+), THD computation, and distortion trending
• Frequency deviation: Grid frequency monitoring against nominal (50/60 Hz)
• Severity scoring: Events are scored on a continuous scale incorporating magnitude, duration, and impact, not just binary threshold alerts

Detected events are automatically classified, timestamped, and annotated with contextual metadata for investigation.

Standards Compliance

EQ Syntropy checks power quality against industry standards:

• IEEE 519: Voltage and current harmonic distortion limits
• SEMI F47: Semiconductor fabrication voltage immunity requirements
• ITIC/CBEMA: Voltage tolerance envelope for IT equipment (upper and lower bounds by event duration)

IEC 61000-4-30 compliance evaluation is planned.

Agentic Investigation

EQ Syntropy runs an agentic AI system that investigates power quality conditions rather than just reporting metrics:

• Semantic router: Incoming queries are analyzed and directed to the most appropriate processing pathway, whether that is a SQL analysis, a physical model, a standards lookup, or a multi-step AI investigation
• Tool execution: The AI orchestrates tools including waveform queries, statistical analysis, domain knowledge lookups, and hypothesis generation to build a complete picture
• Knowledge integration: Investigations draw on facility context (single-line diagrams, equipment specifications, maintenance history) alongside waveform evidence
• Waveform similarity search: Vector embeddings of waveform events enable “find events like this one” queries across months or years of history
• Report generation: Structured incident reports and compliance documentation with supporting waveform evidence

All AI reasoning is grounded in electrical engineering principles. Answers include specific evidence from the underlying measurements, not summaries or statistics alone.

How It Works

When you ask a question through EQ Sight or the API:

1. The semantic router classifies your intent and selects the appropriate tools and models
2. Relevant waveform data, events, and facility context are retrieved
3. Analysis tools run against the data: SQL queries, compliance checks, trend analysis, similarity search
4. The AI synthesizes findings into a response with supporting evidence from the raw waveforms

This enables questions like:

• “What caused the voltage sag at 3:47 PM yesterday?”
• “Are there any signs of equipment degradation in Building A?”
• “How does the harmonic distortion compare to last month?”
• “What’s the likely root cause of the nuisance trips on Line 3?”
• “Show me events similar to the transient on Phase B last Tuesday”
• “Are we in compliance with SEMI F47 on the fab power feed?”

Local AI Inference

EQ Syntropy runs AI models locally on the gateway or edge AI hardware. No data leaves the facility unless EQ-hosted or data lake sync is enabled. Local inference supports:

• Natural language query processing
• Event classification and enrichment
• Hypothesis generation for root cause analysis
• Waveform embedding and similarity search

EQ Syntropy vs. EQ Coherence

EQ Syntropy builds on EQ Coherence. EQ Coherence runs on all deployments and is required.

Deployment Options

EQ Syntropy can run on:

• Edge AI Hardware: NVIDIA AGX Orin or Thor platforms for local processing
• EQ-Hosted: Energy Quotient managed servers for deployments without local GPU hardware
• Customer-Hosted: On-premises deployment for enterprise requirements

See Deployment Options for details on choosing the right configuration.

Beyond Power Quality

EQ Syntropy is initially focused on power quality and power monitoring data from EQ Wave, but its data pipeline, analytics engine, and agentic AI framework are adaptable to other continuous time-series domains — environmental monitoring, vibration analysis, process control, and other sensor-rich systems. Contact [email protected] to discuss ingestion and integration needs.