| CPC G01M 5/0008 (2013.01) [G01M 5/0041 (2013.01); G01M 5/0066 (2013.01)] | 16 Claims |
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1. A measurement method comprising executing on a processor steps of:
a target data generation step of acquiring target data, the target data corresponding to observation data sensed by an acceleration sensor, the acceleration sensor being disposed at a superstructure of a bridge, the observation data corresponding to displacement of the superstructure due to moving of a vehicle on the superstructure, the target data including a drift noise and a vibration component of the superstructure;
a low-pass filter processing step of performing low-pass filter processing on the target data to generate vibration component reduction data in which the vibration component is reduced;
a high-pass filter processing step of performing high-pass filter processing on the vibration component reduction data to generate drift noise reduction data in which the drift noise is reduced;
a correction data estimation step of estimating, based on the drift noise reduction data, correction data corresponding to a difference between the drift noise reduction data and data obtained by removing the drift noise from the vibration component reduction data;
a vibration component data generation step of generating vibration component data, which includes the vibration component, by subtracting the vibration component reduction data from the target data;
a measurement data generation step of generating measurement data by adding the drift noise reduction data, the correction data, and the vibration component data, while a deformation of the superstructure of the bridge is measured by a bridge weigh in motion system; and
a measurement data transmission step of transmitting the measurement data to a monitoring device, the monitoring device being configured to monitor a state of the superstructure based on the measurement data,
wherein the correction data estimation step includes:
an interval specifying step of calculating a first peak and a second peak of the drift noise reduction data, and specifying a first interval before the first peak, a second interval between the first peak and the second peak, and a third interval after the second peak;
a first interval correction data generation step of generating first interval correction data by inverting a sign of the drift noise reduction data in the first interval;
a second interval correction data generation step of generating second interval correction data in the second interval;
a third interval correction data generation step of generating third interval correction data by inverting a sign of the drift noise reduction data in the third interval; and
a correction data generation step of generating the correction data by adding the first interval correction data, the second interval correction data, and the third interval correction data,
the second interval correction data generation step includes:
generating first line data linearly approximating the first interval correction data smaller than a product of a first coefficient and a value obtained by inverting a sign of an amplitude of the first peak;
generating second line data obtained by multiplying a line passing through the first peak and the second peak by a second coefficient;
generating third line data linearly approximating the third interval correction data smaller than a product of the first coefficient and a value obtained by inverting a sign of an amplitude of the second peak;
calculating a first intersection point between the first line data and the second line data, and a second intersection point between the second line data and the third line data; and
generating the second interval correction data in the second interval by using data before the first intersection point as the first line data, data from the first intersection point to the second intersection point as the second line data, and data after the second intersection point as the third line data, and
an abnormality of the superstructure of the bridge is determined based on the measurement data.
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