Automated Carbon Model Management System for Auditable Data Tracking
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Solution Overview
Problem
Current systems lack comprehensive and auditable carbon tracking, failing to efficiently maintain and authenticate carbon scores and their sources, which hinders collaboration among stakeholders in climate mitigation efforts.
Innovation Solution
An automated carbon model management system that authenticates and validates user authority, tracks carbon scores, provides auditability, and assigns confidence ratings based on data sources, using a processor to manage carbon-related data in a centralized, cloud, or distributed database, including features like user authentication, data storage, and confidence scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual carbon tracking methods are used, then system simplicity is maintained, but data authenticity and auditability cannot be ensured
Solution Approach 1:
The patent introduces an automated carbon model management system as an intermediary between carbon data sources and stakeholders. This system includes authentication modules, validation modules, and audit trail components that mediate the carbon tracking process, ensuring data authenticity while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The system implements feedback mechanisms through audit trails that track and record all carbon data operations. The audit trail provides continuous feedback on data integrity and user actions, enabling verification of carbon scores and enhancing reliability through transparent, traceable processes
2Reliability
If comprehensive user authentication and validation are implemented, then data security is improved, but processing time increases
Solution Approach 1:
The system performs preliminary authentication and validation actions by establishing user credentials, roles, and permissions before carbon data operations begin. User profiles with pre-configured access levels are created in advance, allowing rapid authorization decisions during carbon score submission and modification without time-consuming real-time verification
Solution Approach 2:
The authentication and validation processes are segmented into distinct modular components: user authentication, role validation, permission checking, and audit logging. This segmentation allows each security function to operate independently and efficiently, reducing overall processing time while maintaining comprehensive security
3Adaptability or versatility
If multiple stakeholders are enabled to access and modify carbon data, then collaboration is improved, but data consistency becomes difficult to maintain
Solution Approach 1:
The system implements dynamic user permissions and roles that can be adjusted based on stakeholder needs. Different users are assigned specific roles (e.g., building owner, energy assessor, auditor) with appropriate modify/view permissions. The system dynamically controls who can access or modify carbon scores at any given time, enabling collaboration while preventing unauthorized changes that would compromise data consistency
Solution Approach 2:
The audit trail provides continuous feedback on all data access and modification operations. Each stakeholder's actions are logged with timestamps and user identifiers, creating a transparent record that enables verification of data integrity. This feedback mechanism allows the system to maintain consistency by tracking the complete history of carbon score changes across multiple users
Data Source
AI summary
An automated carbon model management system that tracks and maintains carbon scores and energy data resulting from an energy audit of a building. Carbon scores and energy data are provided by, and shareable with, users of the system. The system authenticates and validates users, keeping carbon models reliable and secure. Automated carbon models are updateable, and the system keeps a record of all data submitted to the system enabling auditability of the automated carbon models. The automated carbon model management system also provides a confidence score of the source of the carbon score indicating the trustworthiness of the carbon score.