Quantitative Metric Server for Energy Efficiency Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack effective methods for providing meaningful, quantitative energy consumption data for devices, making it difficult to compare and select energy-efficient consumer and commercial devices.
Innovation Solution
A system and method for analyzing and combining device performance and attribute information to produce comparable quantitative metrics, using a quantitative metric server that collects and processes data from various sources to calculate energy efficiency metrics, allowing for ranking and comparison of devices across categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quantitative energy efficiency metrics are provided for devices, then consumers can make informed selections and resource consumption is minimized, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a quantitative metric server as an intermediary component that collects, processes, and standardizes energy efficiency data from multiple devices. This server acts as a mediator between diverse device data sources and consumers, handling the complexity of data aggregation, normalization, and metric calculation centrally rather than requiring complex processing at each device or consumer endpoint.
Solution Approach 2:
The system transforms raw device performance data into standardized quantitative energy efficiency metrics by changing the parameter representation. It converts various device-specific parameters into a common metric framework that enables direct comparison across different device types, thereby simplifying consumer decision-making while maintaining measurement precision.
2Measurement precision
If comprehensive device performance data is collected and analyzed, then accurate energy efficiency metrics are produced, but data collection infrastructure and processing requirements increase
Solution Approach 1:
The quantitative metric server is designed as a universal platform that can handle multiple device types, data formats, and performance parameters through a single system. It provides multi-functional capabilities including data collection, validation, normalization, metric calculation, and delivery across different device categories, thereby reducing the need for device-specific data infrastructure.
Solution Approach 2:
The server acts as an intermediary that standardizes data exchange between diverse device sources and consumers. It implements universal data interfaces and protocols that simplify data collection from various devices while ensuring accurate metric production through centralized processing and validation logic.
Data Source
AI summary
A system and method of analyzing, manipulating, and combining various items of resource consuming device (“RCD”) performance information to produce quantitative metrics usable to rank or compare RCDs. The method can apply to RCDs such as cars, appliances, residential households or electronics.