Digital MRV (dMRV) provides cryptographically verifiable proof of real-world activities and impacts through automated data collection, validation, and certification.

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Architecture

Data Collection

IoT devices and sensors capture real-time measurements

Data Validation

Oracle networks verify data integrity and accuracy

Blockchain Storage

Immutable record of verified measurements

Credential Issuance

Automated certification of verified claims

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Core Components

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Data Collection

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Data Validation

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Claim Structure

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type
string
required

Type of measurement claim

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deviceId
string
required

DID of measuring device

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measurements
object
required

Key-value pairs of measurements

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evidence
array

Supporting data and proofs

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Example Claim

{
  "@context": [
    "https://www.w3.org/2018/credentials/v1",
    "https://w3id.org/dmrv/v1"
  ],
  "type": ["VerifiableCredential", "MeasurementClaim"],
  "issuer": "did:ixo:oracle/456",
  "issuanceDate": "2024-03-15T12:00:00Z",
  "credentialSubject": {
    "id": "did:ixo:device/123",
    "measurements": {
      "burnTime": 300,
      "fuelConsumed": 15
    },
    "evidence": [{
      "type": "TelemetryData",
      "hash": "0x123...",
      "uri": "ipfs://Qm..."
    }]
  }
}

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Verification Process

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Integration Example

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Error Handling

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400
error

Invalid measurement format

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401
error

Unauthorized device or oracle

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409
error

Conflicting measurements

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Best Practices

Always implement robust device authentication and data validation before submitting measurements.

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Security

  • Use secure communication channels
  • Implement device authentication
  • Validate data integrity
  • Monitor for anomalies

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Next Steps

Device Integration

Connect IoT devices and sensors

Oracle Setup

Configure validation networks

Credential Guide

Implement verification flow

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