Vehicle Data Processing for Cargo Group Carbon Attribution
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Solution Overview
Problem
Logistics companies face challenges in accurately determining the carbon emission contribution of individual shippers' cargos during transportation, which is essential for reporting to regulatory bodies and understanding environmental impact.
Innovation Solution
An information processing device that acquires data on vehicle carbon emissions and cargo group parameters, such as weight, volume, or density, to calculate the carbon emission amount for each cargo group, enabling precise attribution of emissions to individual shippers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a vehicle transports multiple cargo groups from different shippers, then the transportation efficiency and utilization are improved, but the ability to attribute carbon emissions to individual shippers becomes difficult
Solution Approach 1:
The patent segments the total carbon emission data into individual cargo group emissions by dividing the transportation task into distinct cargo groups, each with its own weight, volume, and emission attributes. This segmentation enables accurate attribution of carbon emissions to each shipper while maintaining the efficiency of consolidated transportation.
Solution Approach 2:
The patent introduces an information processing device as an intermediary that receives vehicle operation data and cargo group information, then calculates and attributes carbon emissions to each cargo group. This intermediary system resolves the information loss problem by processing and distributing emission data without interfering with the physical transportation process.
2Measurement precision
If carbon emission data is collected and processed for each cargo group, then the measurement precision of carbon emission contribution is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The information processing device is designed with multi-functionality, handling data acquisition from various sources (vehicle operations, cargo manifests), storage of emission factors, calculation of carbon emissions, and generation of attribution reports. This universal approach consolidates multiple functions into a single system, reducing overall complexity while maintaining high measurement precision.
Solution Approach 2:
The patent employs parameter changes by using different emission factors and calculation methods depending on the cargo group characteristics (weight, volume, type). The system adjusts parameters dynamically based on input data, enabling precise carbon emission measurement without requiring a completely complex fixed system for all scenarios.
Data Source
AI summary
An information processing device includes a control unit. The control unit acquires data of the carbon emission amount of the vehicle and a plurality of parameters correlated with the respective weights of the plurality of cargo groups transported by the vehicle. The plurality of cargo groups includes at least one luggage. The control unit calculates the carbon discharge amount for each of the plurality of cargo groups based on the data of the carbon discharge amount of the vehicle and the plurality of parameters.