Bridge Measurement Device Sensor Abnormality Handling
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Solution Overview
Problem
Existing measurement systems fail to account for sensor abnormalities, leading to potential disruptions in data calculation and weight measurement of moving objects on structures like bridges.
Innovation Solution
A measurement device that includes data acquisition, abnormality determination, moving object detection, and displacement calculation units, utilizing multiple sensors on a structure to detect entry, exit, and bending impacts, allowing for continuous detection and weight calculation even when some sensors are abnormal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors are used for detection, then measurement reliability is improved, but system complexity increases
Solution Approach 1:
The system divides the measurement function into multiple independent sensors (first sensors for impact detection, second sensors for impact detection, third sensors for bending detection) positioned at different locations on the structure. Each sensor type performs a specific detection function, and the system processes data from each sensor independently before integration, allowing redundancy without requiring complete system redesign if individual sensors fail.
2Productivity
If sensor abnormality detection is implemented, then measurement continuity is improved, but processing complexity increases
Solution Approach 1:
The system performs abnormality determination as a preliminary step before weight calculation. The abnormality determination unit checks sensor data validity upfront, identifying abnormal sensors before they can compromise the measurement process. This preliminary filtering allows the system to switch to alternative sensors or calculation methods proactively, ensuring continuous measurement capability.
Solution Approach 2:
The system implements a feedback mechanism where the abnormality determination unit continuously monitors sensor outputs and provides feedback to the weight calculation unit. When abnormality is detected in one sensor, the feedback triggers automatic switching to alternative sensors or adjusted calculation methods, creating a closed-loop system that maintains measurement continuity without manual intervention.
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
Ensures continuous detection and accurate weight calculation of moving objects on structures by determining sensor abnormalities and adjusting calculations accordingly, enhancing system reliability.
Implementation Method 1
first data being data output from a first sensor provided on a structure and representing an impact due to one of an entry of a moving object to the structure and an exit of the moving object from the structure
Implementation Method 2
second data being data output from a second sensor provided on the structure and representing an impact due to the other of the entry of the moving object to the structure and the exit of the moving object from the structure
Implementation Method 3
third data being data output from a third sensor provided on the structure and representing a bending of the structure due to the moving object
Data Source
AI summary
There is provided a measurement device including a data acquisition unit that acquires pieces of first to third data output from first to third sensors provided on a structure, an abnormality determination unit that determines whether or not each of the sensors is abnormal, a moving object detection unit that detects a moving object based on at least one of the first data and the second data, and a displacement amount calculation unit that calculates a displacement amount of the structure based on the third data, in which, when the first sensor provided on a main girder closest to an i-th lane of the structure or a main girder second closest to the i-th lane is not abnormal, the moving object detection unit detects the moving object moving on the i-th lane based on the first data output from the first sensor.