Carbon Footprint Calculation System Using Aggregated Internet Service Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Individuals face difficulties in calculating their carbon footprints due to the fragmented nature of their daily activities, which makes it challenging to quantify and reduce carbon emissions effectively.
Innovation Solution
A computer-implemented method and system that aggregates behavior data from various Internet services to calculate a user's carbon-saving quantity using predefined quantization algorithms, providing users with insights into their carbon footprint reduction and incentivizing environmentally friendly behaviors through service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If behavior data from multiple Internet services is aggregated to calculate carbon footprint, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges behavior data from multiple Internet services (shopping, travel, communication, etc.) into a unified carbon footprint calculation system. By combining data from different sources and applying integrated quantization algorithms, the system achieves comprehensive carbon footprint measurement while managing complexity through standardized processing frameworks.
2Measurement precision
If predefined carbon-saving quantity quantization algorithms are applied to behavior data, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs predefined carbon-saving quantity quantization algorithms that transform diverse behavior data into standardized carbon footprint metrics. By changing the parameter representation from raw behavior data to quantized carbon equivalents, the system achieves precise measurement while simplifying the complexity through predetermined calculation frameworks.
3Measurement precision
If fragmented behavior information is aggregated to provide comprehensive carbon footprint data, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent implements preliminary data collection and preprocessing of behavior information from multiple Internet services before carbon footprint calculation. By preparing and storing behavior data in advance, the system reduces real-time processing time and enables efficient aggregation while maintaining measurement precision across diverse activity types.
Data Source
AI summary
Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.