Degradation determination method and device
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional degradation determination methods for cooling facilities fail to accurately assess degradation due to the influence of disturbances such as temperature changes within the facility, leading to erroneous conclusions about the facility's condition, even if it is not degraded over time.
Innovation Solution
A method and device that extract and analyze power consumption and ambient temperature data to calculate correlation curves, distinguishing between normal and energy-saving operation modes to exclude the impact of disturbances and accurately determine facility degradation by comparing these curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional degradation determination methods analyze power consumption data without considering operation modes, then degradation assessment can be performed, but measurement precision deteriorates due to temperature-related disturbances
Solution Approach 1:
The patent segments the operation data into different operation modes (normal mode and energy-saving mode) based on temperature conditions. By dividing the continuous operation data into distinct modes, the system can separately analyze degradation patterns for each mode, eliminating the confounding effect of temperature variations on degradation assessment accuracy.
Solution Approach 2:
The patent dynamically adjusts the degradation determination process by identifying and separating different operation modes in real-time. The system adaptively switches between analyzing normal mode data and energy-saving mode data based on current temperature conditions, making the degradation assessment dynamic rather than static, thereby improving precision under varying temperature disturbances.
2Reliability
If all operation data is used for degradation analysis, then more data is available for assessment, but reliability decreases due to inclusion of energy-saving mode data that masks true degradation
Solution Approach 1:
The patent extracts and separates energy-saving mode data from the total operation data. By taking out the energy-saving mode portions and analyzing them separately, the system prevents this data from masking true degradation signals in the overall assessment, thereby improving reliability while still utilizing the full dataset through separate analysis tracks.
Solution Approach 2:
The patent applies partial action by selectively focusing analysis on normal mode data when assessing degradation, while still collecting and separately analyzing energy-saving mode data. This partial focus on the most relevant data (normal mode) improves reliability without completely discarding the other data, which is analyzed separately to understand energy-saving performance.
3Measurement precision
If temperature compensation methods are applied to maintain measurement accuracy, then degradation determination precision improves, but device complexity increases
Solution Approach 1:
The patent uses dynamic operation mode identification based on simple temperature threshold comparisons rather than complex compensation algorithms. By dynamically switching between normal and energy-saving mode analysis based on temperature conditions, the system achieves accurate measurement without requiring sophisticated temperature compensation mathematics, thus maintaining low device complexity.
Solution Approach 2:
The patent changes the analysis parameter from raw power consumption values to operation mode-categorized data. Instead of applying complex compensation to the numerical values, the system transforms the data structure by tagging each data point with its operation mode, simplifying the processing approach while maintaining measurement precision.
Data Source
AI summary
Data including a power consumption amount and an ambient temperature of a heat exchanger that discharges heat to an outside of a cooling facility in an operation mode in which the facility is operated in an operation state that requires less power consumption than usual is extracted as degradation determination reference data before degradation determination, and data including the power consumption amount and the ambient temperature in the operation mode in which the cooling facility is operated in the operation state that requires less power consumption than usual is extracted as determination data, whereby the increase in the power consumption amount due to the influence of the disturbance that changes a temperature of an inside of a box-shaped housing can be excluded, and the degradation of the cooling facility can be correctly determined by grasping the increase in the power consumption amount due to aging degradation.