Facility Power Classification Using Hierarchical Energy Groups
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Solution Overview
Problem
Existing methods struggle to accurately distinguish between necessary and unnecessary power consumption in facilities, making it difficult for administrators to identify areas for improvement, such as optimizing or replacing equipment, to reduce overall power usage.
Innovation Solution
An information processing apparatus and method that classifies power consumption data using a hierarchical system of classification groups and association information, allowing for the differentiation between necessary and unnecessary power usage across various elements within a facility, such as buildings, workplaces, and equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If power consumption data is collected without classification, then data collection is simple, but it is impossible to distinguish between necessary and unnecessary power consumption
Solution Approach 1:
The patent applies segmentation by dividing power consumption data into multiple classification groups (e.g., necessary power consumption, unnecessary power consumption, optional power consumption) with further hierarchical classification items. This segmentation enables precise identification of different power consumption types while maintaining manageable complexity through structured organization.
Solution Approach 2:
The patent introduces classification group information and association information as intermediary elements that bridge raw power consumption data and meaningful analysis. These intermediaries (classification frameworks) enable the system to transform unclassified data into actionable insights without requiring complex processing of raw data directly.
2Loss of information
If detailed classification of power consumption is implemented, then identification of improvement areas becomes possible, but data processing complexity increases
Solution Approach 1:
The classification system segments power consumption information into hierarchical groups and items, preserving detailed patterns while organizing them systematically. This segmentation allows the system to retain comprehensive information about power usage patterns without overwhelming processing complexity, as the structured hierarchy enables efficient data management.
Solution Approach 2:
The patent implements preliminary classification of power consumption data into standardized groups and items before analysis. This preliminary action organizes raw data into a structured format that facilitates subsequent analysis and decision-making, reducing the complexity of later processing steps while preserving all necessary information.
3Measurement precision
If multiple classification groups are used to categorize power consumption, then analysis accuracy improves, but ease of operation decreases
Solution Approach 1:
The patent segments classification into hierarchical levels (classification groups and classification items) that can be independently configured and accessed. This segmentation allows users to operate at different levels of detail as needed, maintaining high classification accuracy while enabling simple operation when full detail is not required.
Solution Approach 2:
The classification system is designed with universal structures that can accommodate different classification schemes and purposes. The association information between classification groups and items enables the system to serve multiple analysis needs through a unified framework, improving ease of operation by providing consistent interfaces for diverse analytical requirements.
Data Source
AI summary
An information processing apparatus includes a classification information obtaining portion, a data obtaining portion, and a classification processing portion. The classification information obtaining portion is configured to obtain classification group information including a plurality of classification groups in each of which a classification item is configured, and association information associating the classification items of the plurality of classification groups with each other. The data obtaining portion is configured to obtain data of power consumed in a facility. The classification processing portion is configured to classify the data obtained by the data obtaining portion, by using the classification group information and the association information obtained by the classification information obtaining portion.