GESIA PROJECT [ EN ]
  • Introduction
  • Background
  • Service
  • Technology and Research
    • Consensus
    • Seed
    • Node
    • Smart Contract
    • Token
    • Meta Data
    • Auth
    • Oracle
    • Bridge
    • AI
  • Token Economy
  • Participants
    • GEC Participants
    • Gesia Platform(BVI) Participants
    • Gesia Platform Participants
    • Advisory Participants
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  • GESIA Technology and Research
  • Core Technologies of GESIA
  • GESIA's Research and Innovation
  • Technological Vision
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Technology and Research

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Last updated 6 months ago

GESIA Technology and Research

GESIA technology and research drive digital innovation in carbon management and reduction activities, integrating blockchain, artificial intelligence (AI), and Internet of Things (IoT) technologies to build a unified platform focused on creating a sustainable future.

Core Technologies of GESIA

  1. Blockchain-Based Carbon Management

  • GESIA leverages Carbon SEED to convert carbon emission data into digital tokens, enabling recording, verification, and tracking on the blockchain.

  • Smart contracts are utilized to automatically verify emission and offset activities, streamlining the issuance of carbon credits.

  1. AI-Powered Carbon Data Analysis

  • Predictive modeling will be employed to analyze emission data and forecast the effectiveness of reduction activities.

  • A real-time decision-making support system will be developed to allow AI algorithms to recommend optimal reduction strategies and resource allocation.

  • Pattern recognition functions will be applied to automatically detect inefficiencies in carbon emission activities.

  1. IoT and Real-Time Data Integration

  • IoT devices will be utilized to collect real-time carbon emission data, which will be synchronized with the GESIA blockchain.

  • By combining IoT and AI, the system will automatically process and analyze the collected data in real time, establishing a comprehensive and efficient analysis framework.


GESIA's Research and Innovation

  1. Development of AI-Powered Carbon Reduction Models

  • GESIA is researching AI-based carbon reduction models to quantitatively evaluate the correlation between offset activities and emission data.

  • Machine learning has been utilized to predict the feasibility of achieving net-zero and to design optimized reduction strategies.

  1. Research on Global Standard Compliance

  • GESIA plans to develop processes for verifying carbon data and issuing credits based on international standards, such as UNFCCC and ISO.

  1. Net-Zero Algorithm Research

  • GESIA is designing a net-zero algorithm that integrates AI and blockchain to manage emissions and offsets comprehensively.

  • Through data-driven analysis, the system has been implemented to enable companies and governments to assess and manage their carbon-neutral status in real time.


Technological Vision

  1. Building an Integrated Carbon Management Ecosystem

  • GESIA has designed an integrated platform that connects emission data providers, verification agencies, carbon credit exchanges, and offset activity managers.

  1. Enhancing Data-Driven Decision-Making with AI

  • GESIA plans to utilize AI technology to automatically analyze collected data, enabling companies and governments to make efficient and informed decisions.

  1. Developing Technologies for Sustainability

  • By integrating blockchain, AI, and IoT technologies, GESIA has enhanced the efficiency and reliability of carbon reduction activities.