3D Surface Bulging Prediction for Concrete Flaking Timing
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Solution Overview
Problem
Existing methods for predicting flaking of concrete surfaces, such as those described in JP2016-006398A, JP2020-098098A, and JP2006-105680A, suffer from inaccuracies due to environmental variations and the need for direct contact with the concrete, making it difficult to accurately predict flaking timing and requiring extensive time for large area assessments.
Innovation Solution
A flaking prediction device and method that utilizes three-dimensional measurement data to detect bulging amounts on a building's surface, create graphs showing changes over time, and predict future flaking based on inspection periods, allowing for accurate flaking timing predictions through graphical output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If infrared thermal imaging is used to detect temperature differences for flaking prediction, then flaking prediction can be performed without direct contact with concrete, but measurement precision deteriorates due to environmental conditions affecting temperature variations
Solution Approach 1:
The patent replaces thermal imaging (optical/thermal field) with three-dimensional measurement data (geometric field) to detect surface bulging. This substitution eliminates the influence of environmental conditions on measurement accuracy, as geometric measurements are not affected by temperature, light, or humidity variations that plague thermal imaging methods.
Solution Approach 2:
The patent changes the measurement parameter from temperature difference (thermal field) to surface bulging amount (geometric field). By measuring the physical displacement and bulging of the concrete surface using three-dimensional data, the system obtains a direct indicator of internal stress and flaking risk that is independent of environmental thermal conditions.
2Measurement precision
If ultrasonic testing with direct contact is used to detect concrete internal defects, then measurement precision improves, but device complexity and inspection time increase due to the need to bring transmitters and receivers into contact with the concrete surface
Solution Approach 1:
The patent replaces contact-based ultrasonic testing (mechanical field) with three-dimensional surface measurement (geometric field). By measuring surface bulging amounts from multiple inspection time points, the system infers internal concrete conditions without requiring physical contact with the concrete surface, thereby simplifying the inspection process while maintaining detection capability.
Solution Approach 2:
The patent uses three-dimensional measurement data as an intermediary to indirectly assess concrete internal conditions. Instead of directly probing the concrete with ultrasonic transducers, the system measures surface geometric changes that reflect internal stress states, serving as a mediator between the measurement device and the concrete structure.
3Loss of time
If repeated thermal imaging is performed under varying environmental conditions to track flaking risk over time, then flaking timing prediction can be attempted, but measurement precision deteriorates due to inability to capture building under identical environmental conditions
Solution Approach 1:
The patent changes the measurement parameter from temperature-based thermal imaging to geometric three-dimensional measurement. By measuring surface bulging amounts at multiple time points, the system creates a temporal profile of surface deformation that directly indicates flaking progression, eliminating the problem of environmental condition variations affecting measurement consistency.
Solution Approach 2:
The patent establishes a feedback mechanism by repeatedly measuring surface bulging amounts over time and comparing changes between inspection time points. This temporal feedback loop allows the system to detect the progression of internal stress and predict flaking timing based on the rate and pattern of surface deformation, providing continuous monitoring independent of environmental conditions.
Data Source
AI summary
A processor of a flaking prediction device is configured to, based on a plurality of pieces of three-dimensional measurement data measured for each inspection of a building, the three-dimensional measurement data being obtained by measuring a three-dimensional shape of a surface of the building, detect a bulging amount of the surface at one or more points of interest on the surface, and predict a future bulging amount of the point of interest based on a period over time of the inspection and the bulging amount for each inspection. The processor is configured to create a first graph showing a change over time in the bulging amount of the point of interest and a second graph showing a change over time in the predicted bulging amount, and output the created first graph and second graph to a display.