Data Vault Methodology for Decarbonization Data Management
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Solution Overview
Problem
Current methods for managing decarbonization and circular economy data are inefficient, often relying on manual processes and non-standardized formats, which hinder real-time tracking and compliance with carbon emission regulations.
Innovation Solution
A data vault methodology that utilizes hardware processors to obtain, standardize, update, and transmit decarbonization and circular economy data in real-time, enabling users to access up-to-date information through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for managing decarbonization data, then operational simplicity is maintained, but productivity and real-time tracking capability deteriorate
Solution Approach 1:
The patent replaces manual mechanical data collection and tracking processes with an automated computer-based system that automatically collects, stores, and visualizes decarbonization data from multiple sources in real-time, eliminating manual intervention while maintaining operational simplicity for end users
Solution Approach 2:
The system automatically collects data from various sources, performs standardized formatting and validation, and generates visualizations without requiring manual intervention. The automated nature of data collection, processing, and reporting enables the system to serve itself, improving productivity without proportional increases in operational complexity
2Measurement precision
If non-standardized formats are used for data storage, then ease of data entry is maintained, but measurement precision and data consistency deteriorate
Solution Approach 1:
The patent implements standardized data formats and schemas that transform diverse incoming data into consistent, comparable structures. The system applies standardized field names, data types, and validation rules to all decarbonization data, ensuring measurement precision and consistency across different sources while maintaining ease of entry through automated formatting
Solution Approach 2:
The patent creates a universal data structure that can accommodate multiple data sources and types (emissions data, project data, operational data) within a single standardized framework. This universal format enables consistent measurement across diverse inputs without requiring separate processing systems for each data type
3Loss of information
If real-time data updates are implemented, then information currency is improved, but device complexity and processing requirements worsen
Solution Approach 1:
The patent implements continuous real-time data collection and updating mechanisms that maintain constant information flow from data sources to visualizations. The system continuously monitors, collects, and processes decarbonization data without interruption, ensuring information currency while using automated workflows to manage processing complexity
Solution Approach 2:
The patent introduces a centralized database as an intermediary layer between data collection sources and visualization outputs. This intermediary structure buffers real-time updates, manages data flow, and coordinates processing across multiple components, reducing overall system complexity while maintaining information currency
4Adaptability or versatility
If standardized data formats are implemented, then adaptability and data integration capability are improved, but ease of operation and implementation difficulty worsen
Solution Approach 1:
The patent pre-defines standardized data formats, schemas, and validation rules before data collection begins. By establishing the standardized structure in advance, the system enables seamless integration of diverse data sources without requiring complex customization during implementation, balancing adaptability with operational ease
Data Source
AI summary
A computer implemented method that enables a data vault methodology for management of decarbonization and circular economy is described. The method includes obtaining decarbonization data and circular economy data associated with a capital project of an organization in a database and storing the decarbonization data and the circular economy data in a standardized format. The method also includes updating the decarbonization data and the circular economy data of the organization in real time, and transmitting data visualizations of the updated decarbonization data and the updated circular economy data to users over a network in real time.