Hierarchical Carbon Footprint Data Sharing System
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Solution Overview
Problem
Carbon footprint data management is complex due to the large number and varied types of carbon footprint management objects, making timely and accurate sharing of data challenging across different levels of agents.
Innovation Solution
A method and system for sharing carbon footprint data involve a carbon footprint master agent, multiple levels of carbon footprint object agents, and carbon emission units, where data is cascaded hierarchically from emission units to object agents and ultimately to the master agent for comprehensive analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If carbon footprint data is collected from multiple emission units and agents, then the completeness and accuracy of carbon footprint information is improved, but the system complexity and data sharing difficulty increase
Solution Approach 1:
The system divides carbon footprint management into hierarchical segments: carbon emission units (lowest level), carbon footprint object agents (intermediate level), and carbon footprint master agents (highest level). Each segment collects and processes data locally before passing it up the hierarchy, reducing overall system complexity while maintaining comprehensive data collection.
Solution Approach 2:
The hierarchical structure implements a nested arrangement where carbon emission units are contained within carbon footprint object agents, which are in turn contained within carbon footprint master agents. This nesting allows data to be aggregated at multiple levels, improving measurement precision without requiring all data to be collected simultaneously at the top level.
2Loss of time
If carbon footprint data is shared across all levels of agents, then the timeliness and accuracy of data sharing is improved, but the data processing burden and communication overhead increase
Solution Approach 1:
Carbon footprint object agents perform preliminary processing and aggregation of data from emission units before passing it to master agents. This preliminary action reduces the volume of data that needs to be processed at higher levels, decreasing overall processing burden while maintaining timeliness through hierarchical propagation.
Solution Approach 2:
The system transitions from a flat data sharing model to a hierarchical dimensional structure. Instead of all agents simultaneously processing all data, data flows through multiple hierarchical dimensions (emission units → object agents → master agents), distributing the processing burden across time and organizational levels.
Data Source
AI summary
A method and a system for sharing carbon footprint are provided. A carbon footprint master agent, at least one level of carbon footprint object agent, and at least one carbon emission unit are constructed. As the smallest carbon footprint management object, the carbon emission unit sends its carbon footprint data to the corresponding carbon footprint object agent. The carbon footprint object agent cascades the carbon footprint data based on a hierarchical relationship between the carbon footprint object agents, and finally to the carbon footprint master agent. The carbon footprint master agent manages the carbon emission units and subordinate carbon footprint object agents according to groups and levels, to timely and accurately share the carbon footprint data among all levels of carbon footprint agents. The carbon footprint master agent also performs comprehensive analysis on the received carbon footprint data.