Bridge Displacement Estimation via Accelerometer Segmentation
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Solution Overview
Problem
Existing methods for detecting displacement in long structures like bridges using contactless distance meters face challenges such as reduced accuracy with increasing distance, instability due to shaking, and interference from obstacles, limiting their effectiveness in various installation environments.
Innovation Solution
A system that measures inclination angles at multiple positions along a long structure, using accelerometers to acquire and process time-series data, allowing for the estimation of displacement regardless of installation environment, and accounting for fine fluctuations and potential disturbances to provide accurate three-dimensional displacement analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a contactless distance meter is used to measure displacement of a long structure, then non-contact measurement is achieved, but measurement accuracy decreases with increasing distance from the meter to the structure
Solution Approach 1:
The patent divides the long structure into multiple segments by placing measurement devices at multiple positions along the structure. Each device measures a local segment, and the overall displacement is reconstructed by integrating these local measurements. This segmentation allows accurate measurement of each segment while covering the entire long structure, avoiding the accuracy degradation that occurs when a single device measures the entire long distance.
2Measurement precision
If a contactless distance meter is used to measure displacement, then non-contact measurement is enabled, but measurement accuracy decreases when the device is shaken
Solution Approach 1:
By distributing multiple measurement devices along the structure, the system reduces the burden on each individual device. Each device only needs to maintain stability relative to its local position, not the entire structure. This segmentation of the measurement task makes the system more robust to vibrations and shaking, as local measurements remain accurate even if individual devices experience minor movements.
Solution Approach 2:
The patent employs feedback mechanisms where the measured data from multiple positions is continuously processed and integrated. This feedback loop allows the system to compensate for minor deviations and maintain overall measurement accuracy, reducing the impact of device shaking on the final displacement measurement.
3Measurement precision
If a contactless distance meter is used to measure displacement, then non-contact measurement is achieved, but measurement cannot be performed when obstacles exist around the structure
Solution Approach 1:
The patent segments the measurement task across multiple positions along the structure. This allows the measurement system to work around obstacles by selecting measurement positions that are not blocked. Each local measurement segment can be independently configured to avoid obstacles, while the integrated result provides the overall displacement measurement, making the system adaptable to various installation environments with obstacles.
4Measurement precision
If multiple measurement positions are used to improve displacement estimation accuracy, then measurement coverage increases, but the number of required measurement devices increases
Solution Approach 1:
The patent combines multiple local measurement results through mathematical integration to achieve accurate overall displacement measurement. By merging the data from multiple positions using integration algorithms, the system achieves high measurement precision without requiring a large number of expensive measurement devices, as each device can be a simpler, more economical unit.
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 precise estimation of displacement in long structures across diverse environments, improving accuracy and reliability by reducing the number of measurement positions required and correcting for errors, thus providing detailed and accurate displacement data over time.
Implementation Method 1
for each of the measurement positions, the acquiring means acquires time-series values of acceleration of the structure in the first direction measured at the measurement position
Data Source
AI summary
A displacement estimation system includes: accelerometers arranged with predetermined gaps therebetween in an x-axis direction corresponding to the lengthwise direction of a bridge; and a data processing device that receives, from the accelerometers, acceleration data indicating measured values of acceleration measured by the accelerometers, and estimates, based on the acceleration values in the x-axis direction indicated by the acceleration data, the relationship between a distance from a reference position in the x-axis direction and displacement from a reference orientation in a z-axis direction. Displacement of bridge at an arbitrary position in the x-axis direction can be estimated by the data processing device. Also, for each of the positions (measurement positions) at which the accelerometers are arranged, the data processing device calculates fine fluctuation components of displacement of the bridge in the z-axis direction based on the acceleration values in the z-axis direction indicated by the acceleration data, and estimates detailed displacement of the bridge at each of the measurement positions by adding the calculated fine fluctuation components to the estimated displacement in the z-axis direction.