Carbon Footprint Data Verification With Edge Collection and Blockchain
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Solution Overview
Problem
The challenge of accurately managing and verifying carbon footprint data is hindered by self-reported data integrity issues and manual calculation methods, leading to unreliable carbon neutrality planning.
Innovation Solution
Implementing edge collecting devices to acquire current carbon footprint data, calculate deviation statistical indices, and update historical data using a carbon footprint query database, with blockchain verification to ensure data integrity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If self-reported carbon footprint data is used, then data collection is simple, but data integrity and reliability deteriorate
Solution Approach 1:
The patent introduces edge collecting devices as intermediaries between carbon emission sources and the central management system. These devices automatically collect carbon footprint data from product processing equipment, eliminating the need for manual self-reporting while ensuring data integrity through automated acquisition and blockchain verification.
Solution Approach 2:
The patent replaces manual data collection and calculation methods with automated edge computing devices that directly interface with production equipment. This substitution eliminates human intervention in data reporting, preventing falsification and ensuring accurate, real-time carbon footprint measurement.
2Ease of manufacture
If manual calculation methods are used, then implementation cost is low, but measurement precision deteriorates
Solution Approach 1:
The patent enables edge collecting devices to automatically perform data acquisition, statistical index calculation, and anomaly detection without human intervention. The system self-updates historical data in the carbon footprint query database and generates verification reports, maintaining low operational costs while achieving high measurement precision through automated computational processes.
3Reliability
If automated edge collecting devices are deployed, then data reliability is improved, but device complexity increases
Solution Approach 1:
The patent divides the carbon footprint management system into distributed edge collecting devices deployed at various product processing points. Each edge device independently collects and verifies local carbon data, reducing the complexity burden on any single device while collectively achieving comprehensive and reliable carbon footprint measurement across the entire production system.
4Reliability
If blockchain verification is implemented, then data tampering prevention is improved, but processing time increases
Solution Approach 1:
The patent implements blockchain verification mechanisms in advance by pre-configuring the carbon footprint query database and edge collecting devices with blockchain protocols. Carbon footprint data is hashed and recorded on the blockchain as it is generated, providing immediate tamper-proof verification without requiring time-consuming post-processing validation, thus minimizing processing time delays.
Data Source
AI summary
Various embodiments of the teachings herein include a carbon data management method. An example includes: acquiring current carbon footprint data of an edge collecting device, wherein the edge collecting device is deployed in a production process; calculating a current deviation statistical index based on historical carbon footprint data of the edge collecting device, wherein the historical carbon footprint data is retrieved from a carbon footprint query database; judging whether the current carbon footprint data is a normal deviation based on the current deviation statistical index; and updating the historical carbon footprint data in the carbon footprint query database based on the current carbon footprint data when the current carbon footprint data is a normal deviation.