Factory Energy Metadata Generation via Node-Edge Modeling
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Solution Overview
Problem
Factory energy management systems face high costs and inefficiencies in data processing, storage, and management due to the large volume and complexity of energy-related data, necessitating improved metadata generation and visualization for efficient data management.
Innovation Solution
An electronic device generates metadata by determining nodes and edges based on data attributes and relationships, classifying data into static and dynamic metadata, and visualizing energy efficiency to facilitate efficient data management and reduce energy waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data related to energy from a factory is obtained and managed in real time, then energy management capability is improved, but data processing cost and time increase
Solution Approach 1:
The patent extracts only the essential attributes and relationships from the raw energy data to create metadata, rather than processing and managing all the detailed data. This selective extraction of key information (nodes and edges representing data attributes and relationships) reduces the processing burden while maintaining the core energy management capability.
Solution Approach 2:
The patent introduces metadata as an intermediary layer between the raw energy data and the energy management system. This metadata model acts as a mediator that simplifies the complex data structure into manageable nodes and edges, enabling efficient energy management without directly processing the entire volume of raw data.
2Reliability
If data related to energy from a factory is obtained and managed in real time, then energy management capability is improved, but data processing cost increases
Solution Approach 1:
The patent extracts only the essential attributes and relationships from the raw energy data to create metadata, rather than processing and managing all the detailed data. This selective extraction of key information (nodes and edges representing data attributes and relationships) reduces the processing burden while maintaining the core energy management capability.
Solution Approach 2:
The patent introduces metadata as an intermediary layer between the raw energy data and the energy management system. This metadata model acts as a mediator that simplifies the complex data structure into manageable nodes and edges, enabling efficient energy management without directly processing the entire volume of raw data.
3Productivity
If metadata is generated using a predefined metadata model with nodes and edges, then data management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex energy data into discrete nodes representing data attributes and edges representing relationships between them. This segmentation of the data model into fundamental components (nodes and edges) makes the complex data structure more manageable and processable while improving data management efficiency.
Solution Approach 2:
The patent creates a universal metadata model structure using nodes and edges that can represent various types of energy data and relationships. This universal model framework handles multiple data types and relationships through a consistent structure, improving efficiency while managing complexity through standardization.
Data Source
AI summary
An electronic device for generating metadata and a method of operating the same are provided. The method includes obtaining data related to energy used in a factory, obtaining information about a node related to an attribute of the data and information about an edge between nodes from a metadata model predefined for the data, generating metadata for managing the data using the information about the node and the information about the edge, and visualizing and outputting the metadata.