Data & Verification

Weather Data Economy, AI & DePIN

Data Reliability (Quality) and Verification Mechanisms

1. Quality Score

Each node/data stream is assigned a Quality Score, which influences compensation and sales priority.

• Documentation of calibration history and sensor accuracy ratings • Assessment of uptime and missing data rates to ensure data continuity • Evaluation of cross-validation consistency through comparisons with neighboring nodes, satellites, and external data sources • Analysis of outlier frequency and response speed • Determination of whether metadata meets installation standards for both environment and structure

2. Proof of Origin and Tamper Resistance

• Edge-based signing (device key) + timestamp • Chain anchoring of original data hash (original stored off-chain) • Logging of operational history (calibration/replacement/updates)

3. Fraud Prevention (Examples)

• Reputation-based long-term rewards (reduces incentive for short-term manipulation) • Staking/Slashing (penalties for violating validation rules) • Multi-source consensus-based anomaly detection (neutralizes single-node manipulation)