A Decentralized Protocol for AI-Infrastructure Vapor Recovery & Tokenization
AquraIQ provides a transparent, verifiable framework for measuring and tokenizing water recovery in high-density AI environments. By integrating hardware-level sensing with our WES scoring, we transform every 10m³ of recovered vapor into liquid, tradeable AI-WPC assets.
Explore the StackSystem Architecture
AquraiQ does not manufacture AWH hardware. Instead, it overlays a verification rail on top of third-party devices, standardizing how water yield, energy use, and energy provenance are measured, validated, and tokenized for AI infrastructure deployments.
Industrial Edge Integrity (DLU)
Every industrial vapor recovery unit is equipped with a tamper-proof Data Logging Unit (DLU). It cryptographically signs water yield and energy-tier data at the source, ensuring that inputs into the WES protocol are immutable and verifiable.
Telemetry Normalization
Normalizes outputs into a common schema including water yield (10 m³ units) and energy source classification (Grid, Renewables, or Waste-Heat) for universal AI-WPC issuance.
WES Oracle Network
Distributed oracle clusters that attest to energy-tier claims and calculate the Water Efficiency Score (WES) to reward sustainable recovery.
On-Chain Registry & Minting
Smart contracts compute the WES and mint AI-WPC tokens. Each token represents 10m³ of verified energy-optimized water recovery, providing a standardized liquid asset for institutional water-positive reporting across the AI industry.
Device-Level Signing (DLU)
The DLU enforces authenticity and integrity at the edge, making falsification costly and detection straightforward for the oracle network.
Hardware-Rooted Identity
Each DLU is provisioned with a unique elliptic-curve keypair sealed inside a secure enclave during onboarding. Private keys never leave the enclave; all signatures are generated on-device.
Deterministic Packet Structure
Every packet includes timestamp, cumulative water yield, instantaneous power draw, energy-tier flag, sensor status bitmap, and an incremental hash:
Hₙ = SHA256(Hₙ₋₁ ‖ packetₙ)
This prevents packet insertion, deletion, or reordering without detection.
Local Anomaly Screening
Before signing, the DLU rejects packets that violate physical or operational bounds, such as:
- Water yield exceeding theoretical condensation capacity for given AI-Infrastructure cooling loads.
- Reported power draw below mechanical thresholds while yield is non-zero.
- Declared renewable or waste-heat tier while grid signatures are present on the power feed.
Only packets that pass these checks are signed and forwarded to the WES oracle network.
Verified AWH Metrics (Recovery Metrics)
AquraiQ enforces a fixed set of measurable metrics that feed directly into WES computation and credit issuance.
1. Water Yield
Exact metered water output (m³/h), captured at 30 second intervals and aggregated into hourly profiles for settlement and analytics.
2. Net-Energy Intensity (kWh/m³)
Derived from net power draw minus any recovered waste-heat, normalized by verified water yield to express kWh of net energy required per liter of produced water.
3. Energy-Tier Provenance
Each device run is classified into one of three tiers based on verified energy input:
| Tier | Energy Source | Credit Weight |
|---|---|---|
| T3 | Waste-Heat | Highest |
| T2 | Renewables | Medium |
| T1 | Grid | Base |
4. Vapor Density Window
Ambient vapor density (g/m³) computed from psychrometric inputs and mapped to ASHRAE climate bins, used to contextualize yield and prevent unrealistic performance claims.
5. Duty Cycle Integrity
Monitors compressor and fan duty cycles to detect artificial cycling patterns designed to inflate yield without proportional energy draw.
6. Ambient Performance Profile
Builds a device-specific response curve across temperature, humidity, and load, making it possible to detect coil tampering, sensor spoofing, or non-physical coefficients of performance.
WES Workflow & Score
WES is a deterministic pipeline that converts signed edge measurements into on-chain proofs and credit events.
- Edge Capture: The DLU captures and signs water yield, net power draw, energy tier, and status data at fixed intervals.
- Oracle Validation: Multiple oracle nodes verify signatures, rebuild hash chains, run range and consistency checks, and validate energy-tier claims against external signals.
- WES Computation: Validated streams are aggregated into Water Efficiency Score (WES) snapshots per device, location, and time window.
- Credit Minting: Smart contracts mint water credits according to the computed WES and tier weights, linked to specific devices and epochs.
- On-Chain Settlement: Credits become transferable, traceable, and available for retirement or use in AI infrastructure water-positive accounting.
Water Efficiency Score (WES)
WES scores each 10 m³ unit based on energy provenance, ensuring that water recovered via Waste-Heat and Renewables receives higher valuation within the AI-WPC Exchange.
Scoring Structure
WES is computed as a weighted combination of four components:
WES = α₁·YieldFactor – α₂·NetEnergyPenalty
+ α₃·EnergyTierWeight + α₄·ClimateHardnessFactor
- YieldFactor: normalized m³/kWh (cubic meter of water yield per kWh of net energy).
- NetEnergyPenalty: penalty term for devices exceeding a baseline kWh/m³ threshold.
- EnergyTierWeight: {1.00, 1.25, 1.50} for {Grid, Renewables, Waste-Heat}.
- ClimateHardnessFactor: uplift factor for low-humidity or thermally harsh zones.
Deterministic & Recomputable
Any node with access to the underlying, verified telemetry can recompute WES and confirm that the credited water assets are consistent with observed physical performance and energy provenance.
This makes WES suitable as a primitive for AI infrastructure water-efficiency reporting, performance-based financing, and programmatic water-positive commitments on-chain.
