Image construction method and system for heating area
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Solution Overview
Problem
The existing methods for detecting leaks and monitoring the efficiency of heating pipelines are inefficient due to the lack of real-time temperature data, leading to delayed detection and increased maintenance costs.
Innovation Solution
An image construction method and system that collects surface and regional temperature data of heating pipelines, sets corresponding labels, and integrates this information into an image fusion system to provide real-time monitoring and improved detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual pipeline testing is performed regularly or after user complaints, then pipeline safety is maintained, but detection efficiency is low and real-time monitoring is not achieved
Solution Approach 1:
The patent replaces manual mechanical inspection methods with automated thermal imaging technology. The thermal imaging device automatically captures temperature data from pipelines and surrounding areas, eliminating the need for manual testing and enabling continuous real-time monitoring without human intervention.
Solution Approach 2:
The patent introduces temperature data as an intermediary parameter to indirectly detect pipeline conditions. By monitoring temperature variations in the pipeline and surrounding soil, the system can identify leaks, insulation issues, or abnormalities without direct physical contact or manual intervention with the pipeline itself.
2Reliability
If comprehensive temperature monitoring is implemented, then real-time pipeline status can be obtained, but system complexity increases
Solution Approach 1:
The patent divides the monitoring area into multiple regions of interest, each associated with specific pipeline segments. By segmenting the thermal image into multiple analysis zones, the system can focus processing on relevant areas while simplifying the overall analysis complexity. Each region can be independently analyzed and labeled.
Solution Approach 2:
The patent transitions from one-dimensional manual inspection points to two-dimensional thermal field mapping. By capturing temperature distribution across the entire pipeline area and analyzing spatial temperature patterns, the system achieves comprehensive monitoring without proportionally increasing device complexity, as a single thermal camera captures the entire field simultaneously.
3Measurement precision
If multiple temperature data points are collected and analyzed, then detection precision is improved, but processing time and computational load increase
Solution Approach 1:
The patent performs preliminary processing of thermal images by automatically identifying and labeling regions of interest before detailed analysis. By pre-segmenting the image into relevant zones and applying initial temperature thresholds, the system reduces the computational burden on subsequent analysis stages, enabling faster processing of multiple temperature data points.
Solution Approach 2:
The patent creates simplified representations or models of temperature data patterns from the raw thermal images. By generating labeled maps and temperature distribution models that capture essential features without preserving all raw data details, the system maintains measurement precision while reducing processing time for subsequent analyses.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time monitoring of heating pipeline conditions, allowing for timely detection of issues and improving the overall efficiency of pipeline maintenance and operation.
Implementation Method 1
collecting a piece of thermal image information of a pipeline and a surrounding area by using a thermal imaging device
Data Source
AI summary
An image construction method and system for a heating area is provided. The method includes: obtaining an initial image according to a heating structure diagram and a building structure diagram of the heating area; segmenting the initial image according to heating attribute of the heating area to obtain a plurality of segmentation sub-graphs; performing first collection on a surface temperature of a heating pipeline according to pre-deployed surface devices corresponding to the segmentation sub-graphs, and setting first heating labels corresponding to the segmentation sub-graphs, and meanwhile, performing second collection on a regional temperature of a sub-area of the heating pipeline being located according to a pre-deployed monitoring device corresponding to the segmentation sub-graphs, and setting second heating labels; performing position and temperature analysis on a label setting result of each of the segmentation sub-graphs to obtain a heating image of the heating area.