Chemical Product Attribute Tracking for Trusted Environmental Data
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Solution Overview
Problem
The lack of common data standards and trusted platforms hinders the sharing and transparency of environmental impact data in supply chains, making it laborious for participants to collectively reduce their environmental impacts and combat climate change.
Innovation Solution
A computer-implemented method and apparatus for assigning environmental attributes to target materials produced by a chemical production network, using attribution rules and accounts to balance and attribute environmental impacts from input materials, enabling secure and standardized data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If environmental impact data is shared across supply chain participants, then transparency and collective environmental improvement are enhanced, but data security and trust between participants are compromised due to lack of standardized platforms
Solution Approach 1:
The patent introduces a centralized data platform as an intermediary that receives, validates, and stores environmental impact data from multiple supply chain participants. This mediator ensures data security through standardized protocols while enabling transparent access to authorized participants, thus resolving the contradiction between transparency and trust/security in data sharing.
Solution Approach 2:
The data platform is designed with universal data standards that can handle various types of environmental impact data from different participants (manufacturers, suppliers, logistics providers). This multi-functional capability allows diverse participants to contribute their data through a common interface, enhancing overall transparency while maintaining consistent security and trust protocols across all interactions.
2Reliability
If centralized data systems are used for tracking environmental impact, then data management becomes more controlled, but data exchange and sharing become laborious due to highly specific and centralized setup
Solution Approach 1:
The patent segments the centralized data system into modular functional components (data collection modules, validation modules, storage modules, and access modules). Each module operates independently with standardized interfaces, allowing controlled data management through clear separation of responsibilities while enabling easy data exchange between participants through well-defined data pathways and protocols.
3Productivity
If common data standards are implemented for environmental impact, then data exchange becomes more efficient, but implementation complexity increases due to need for standardized platforms and protocols
Solution Approach 1:
The patent establishes standardized data parameters and formats (such as统一的 environmental impact metrics, data structures, and exchange protocols) that simplify data exchange. By defining consistent parameter specifications across the platform, the system achieves efficient data exchange while managing implementation complexity through clear parameter standards rather than complex procedural requirements.
Data Source
AI summary
Computer-implemented methods and apparatuses for assigning or attributing at least one environmental attribute associated with input material(s) to target material(s), wherein the target material(s) are produced by a chemical production network using at least one of the input materials).