Burial environment classification map creation apparatus, buried pipe deterioration degree prediction apparatus, burial environment classification map creation method, and non-transitory computer-readable recording medium
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Solution Overview
Problem
Existing methods for predicting the deterioration of buried pipes, such as water pipes, are not accurate enough, particularly due to variations in burial environments that affect corrosion rates.
Innovation Solution
A system utilizing machine learning to create optimized burial environment classification maps based on geological data, pipe characteristics, and historical leakage data, enabling precise identification of pipe deterioration using a buried pipe deterioration degree prediction model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a general burial environment classification map is created based on geological maps, then the coverage area is large, but the prediction accuracy for pipe deterioration is insufficient
Solution Approach 1:
The patent divides the general burial environment classification map into multiple regions based on leakage accident data, creating localized optimized classification maps for each region. This segmentation allows the system to maintain broad coverage while improving prediction accuracy in specific areas by tailoring the classification to local conditions and historical performance data.
Solution Approach 2:
The patent applies local quality by creating region-specific optimized burial environment classifications that reflect local leakage patterns and ground conditions. Each region's classification is customized based on its unique characteristics and historical data, rather than applying a uniform classification across the entire coverage area.
2Measurement precision
If machine learning is applied to optimize burial environment classification, then the prediction accuracy improves, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary optimization system that uses machine learning algorithms to process leakage accident data and generate optimized burial environment classifications. This intermediary layer bridges the gap between raw geological data and accurate deterioration predictions, handling the complexity of machine learning while providing simplified outputs for pipe assessment.
Solution Approach 2:
The patent performs preliminary optimization of burial environment classifications using machine learning before actual deterioration prediction. By pre-processing the data and establishing optimized regional classifications in advance, the system reduces the computational complexity during the actual prediction phase while maintaining high accuracy.
Data Source
AI summary
A buried pipe deterioration degree prediction apparatus includes a buried pipe deterioration degree calculator configured or programmed to calculate a deterioration degree for each of buried pipes based on a buried pipe deterioration degree prediction model and a burial environment of each of the buried pipes identified by an optimized burial environment classification map created by optimizing the burial environment classification of a portion of grounds in a general burial environment classification map by machine learning. The portion of grounds is selected based on water leakage accident data that provides a past record of water leakage accidents for each of the buried pipes.