Portable Device Carbon Credit Calculation Method
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Solution Overview
Problem
Conventional methods for calculating personal carbon credits are time-consuming, costly, and not suited for individuals, often resulting in negative values for those using high carbon emission transport schemes, lacking motivation for reduction efforts.
Innovation Solution
A method using a portable device to calculate carbon credits by measuring travel segments and comparing personal carbon emissions to a user-specific baseline, allowing for real-time tracking and motivation through positive credit values for both high and low carbon emission schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional carbon emission statistical method is used to establish baseline, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing carbon emission data continuously in the background before a formal baseline establishment is needed. The portable device tracks travel segments, calculates carbon emissions, and maintains a rolling average baseline that is ready for immediate comparison, eliminating the need for lengthy preliminary baseline establishment periods.
Solution Approach 2:
The invention uses a simplified copy of the conventional baseline establishment method by applying the same carbon emission calculation logic to individual travel segments. Instead of establishing a baseline through a full year of data collection as in conventional methods, the system creates a dynamic baseline copy that updates continuously based on recent travel data, maintaining measurement precision while dramatically reducing time requirements.
2Manufacturing precision
If comparison with standard carbon emission baseline is used, then manufacturing precision is improved, but object-affected harmful factors increase
Solution Approach 1:
The system applies local quality by providing personalized baseline comparisons tailored to each user's specific travel patterns and carbon emission characteristics. Instead of using a uniform standard baseline for all users, the system creates individualized baselines that reflect each user's typical behavior, ensuring fair and motivating carbon credit calculations for diverse transportation scenarios.
Solution Approach 2:
The invention implements dynamics by making the baseline adaptive and evolving rather than static. The baseline updates continuously as the system collects more travel data from each user, allowing the comparison standard to adapt to changing user behaviors, seasonal variations, and route changes. This dynamic approach maintains calculation accuracy while preventing demotivating situations where users are permanently disadvantaged.
3Reliability
If conventional carbon credit calculation method is used, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The portable device enables self-service by automatically performing all carbon emission calculations, baseline comparisons, and carbon credit determinations without requiring user intervention in complex procedures. The system autonomously tracks travel segments, calculates emissions based on integrated sensors, compares against the dynamic baseline, and provides carbon credit feedback, making the reliable conventional calculation method as convenient as using a navigation app.
Solution Approach 2:
The invention replaces the manual mechanical processes of conventional carbon credit calculation with automated electronic systems. Instead of requiring users to manually collect travel data, calculate emissions, and track baseline comparisons, the portable device uses integrated sensors, processors, and communication modules to perform all calculations automatically, maintaining the reliability of conventional methods while dramatically improving ease of operation.
Data Source
AI summary
A method of calculating carbon credit based on personal carbon emission is provided for a user activating a portable device to execute, upon passing through each predetermined node of a predetermined route, a traveling means data and a travel distance toward a next predetermined node, in order to calculate a segmental personal carbon emission amount. When reaching the last predetermined node, the portable device adds up all of the segmental personal carbon emission amounts to obtain a one-trip personal carbon emission amount. The portable device subjects the one-trip personal carbon emission amounts corresponding to an average carbon emission amount to averaging with the one-trip personal carbon emission amount of this round to update as a new average carbon emission amount. The new average carbon emission amount so updated serves as a calculation basis of carbon credit for the next round of taking the predetermined route.


