AI
Last updated
Last updated
Climo AI is an advanced artificial intelligence system designed to track, quantify, and analyze carbon emissions based on chemical reactions and combustion processes. This system systematically learns elemental symbols, combustion reactions of chemical compounds, mass changes, and environmental factors, enabling precise calculations of carbon emissions.
[ 1st Learning Phase ] Calculates chemical reactions and combustion values based on elemental symbols. In the initial stage, the system estimates emissions using the basic composition and reaction equations of the chemicals contained in the fuel.
[ 2nd Learning Phase ] Calculates the combustion reactions and resulting products of chemicals. By analyzing the substances generated during combustion and their masses, the system produces more detailed emission calculations.
[ 3rd Learning Phase ] Learns the relationship between mass and combustion values based on the law of conservation of mass. This phase clarifies the relationship between the input mass of fuel and the total mass of emissions.
[ 4th Learning Phase ] Learns the combustion characteristics according to the state of matter (solid, liquid, gas). The system increases calculation accuracy by reflecting differences in the physical state of the fuel and combustion reaction rates.
[ 5th Learning Phase ] Analyzes changes in combustion values due to external environmental factors (temperature, humidity, altitude, etc.). This phase studies how changes in real-world conditions affect combustion efficiency and emissions, providing more realistic results.
[ 6th Learning Phase ] Learns the variations in emissions based on user habits (e.g., driving patterns, fuel usage methods). This enables the delivery of personalized carbon emission management solutions.
Climo AI goes beyond simple emission factor-based calculations by incorporating the chemical composition of the fuel, combustion conditions, and the mass of the resulting products to precisely calculate emissions.
Example: Combustion of Methane (CH₄)
When 1 mole of methane (16g) combusts, it releases 44g of carbon dioxide (CO₂). Using this, Climo AI accurately determines the relationship between the amount of fuel burned and the actual amount of carbon emitted.
Climo AI integrates IoT sensors, vehicle data, and environmental data to calculate and predict emissions in real-time. This enables users to immediately check emissions under specific conditions and take necessary actions when required.
Key Data It utilizes data such as driving distance, speed, RPM, fuel consumption, temperature, humidity, and altitude. This allows for emission calculations that reflect actual operating environments.
Application of Results Climo AI analyzes emissions by incorporating changes in combustion conditions and external environmental factors. For instance, it accounts for reduced combustion efficiency caused by lower oxygen levels in high-altitude areas.
Climo AI evolves through self-learning based on accumulated data, improving its calculation accuracy and reliability over time. It starts with a simple model but gradually integrates precise chemical reaction models and AI-based analysis to address complex combustion conditions and their relationship with emissions.
