Hierarchical GHG Emission Data Mapping Across Multiple Analysis Axes
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Solution Overview
Problem
Existing technologies fail to effectively analyze greenhouse gas (GHG) emission amounts across multiple analysis axes, such as energy sources, internal organizations, and product components, making it difficult to manage complex data and visualize GHG emissions throughout a product's lifecycle.
Innovation Solution
A data processing apparatus with a hierarchical structure data management system that includes multiple interconnected nodes, allowing for the extraction and visualization of GHG emission amounts through different analysis axes, using a data management unit to manage hierarchical structures and an extraction unit to generate node paths based on user instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple analysis axes are used to analyze GHG emission amounts, then the comprehensiveness of analysis is improved, but the complexity of data management increases
Solution Approach 1:
The patent segments the complex GHG emission data into multiple hierarchical structures, each representing a different analysis axis (e.g., energy source axis, organizational axis, product component axis). Each hierarchical structure is independently managed but can be integrated through the graph database, allowing comprehensive analysis while maintaining manageable complexity through modular organization.
Solution Approach 2:
The patent introduces a multi-dimensional analysis framework where GHG emission data can be viewed and analyzed from multiple perspectives simultaneously. By organizing data along different hierarchical axes that can be independently selected and combined, the system adds analytical dimensions without proportionally increasing management complexity, as each dimension is handled through standardized hierarchical structures.
2Adaptability or versatility
If hierarchical structure data with multiple nodes is used to represent different analysis axes, then the ability to analyze GHG emissions through multiple perspectives is improved, but the difficulty of extracting and visualizing data increases
Solution Approach 1:
The patent introduces an intermediary extraction unit that acts as a mediator between the complex hierarchical structure data and the visualization requirements. This extraction unit automatically traverses the hierarchical structures, identifies relevant nodes based on selected analysis axes, and generates appropriate visual representations, thereby reducing the difficulty of data extraction and visualization while maintaining the ability to analyze from multiple perspectives.
Solution Approach 2:
The hierarchical structure data and extraction mechanism are designed to be universal and multi-functional. The same hierarchical structure framework can represent different analysis axes (energy sources, organizations, products), and the extraction unit can generate various visualizations based on different combinations of axes, making the system adaptable to multiple analytical needs without requiring separate specialized structures for each perspective.
Data Source
AI summary
Hierarchical structure data (200) includes: a first hierarchical structure in which first nodes are hierarchized, the first hierarchical structure corresponding to a first analysis axis which is an analysis axis of a GHG emission amount; a second hierarchical structure in which second nodes are hierarchized, the second hierarchical structure corresponding to a second analysis axis which is different from the first analysis axis; and a plurality of emission amount nodes which are nodes of the GHG emission amount. The plurality of first nodes include two or more first connection nodes that connect to an emission amount node, and the plurality of second nodes include two or more second connection nodes that connect to an emission amount node. When one of the first nodes is selected as a first selection node and one of the second nodes is selected as a second selection node, an extraction unit (104) extracts a chain of nodes that leads to the first selection node via the first connection node from the emission amount node to which the first connection node connects, and extracts a chain of nodes that leads to the second selection node via the second connection node from the emission amount node to which the second connection node connects.