A movable system for automatically monitoring the correlated wind and temperature filed of a bridge, including a bridge monitoring subsystem, a cloud server, and a client. The system monitors the meteorological parameters of a bridge surface and a temperature of a bridge structure, performs data analysis and processing on a cloud server, and performs visual data interaction by using a client. A bridge surface-specific meteorological parameter monitoring module is movable, such that the location of the sensor for meteorological data monitoring can be adjusted at any time to monitor an entire bridge deck in a time-sharing manner. A lower cantilever structure has an adjustable height, such that the sensor for meteorological data monitoring can track a height of a boundary layer of the bridge surface. A bridge structure-specific temperature monitoring module adopts distributed patch-type temperature sensors, which can detect the temperature of the bridge structure in all directions.

An integrated rapid infrastructure monitoring system for identifying defects in an underlying surface, comprising: at least one actuator; and, at least one impactor operatively connected to the actuator, wherein the actuator is configured to transition the integrated rapid infrastructure monitoring system from a first configuration with at least one of a motive force and an impact bounce force of the impactor, where the impactor is located on a first side of the integrated rapid infrastructure monitoring system, to a second configuration, where the impactor is located on a second side of the integrated rapid infrastructure monitoring system.

According to a first aspect of the invention, there is provided a mobile bridge apparatus, comprising: one or more mobile bridge modules; and a plurality of sensors for sensing a deformation of the one or more mobile bridge modules.

A system and method for measuring dynamic properties of a structure, and for using the measured dynamic properties to assess the dynamic performance of the structure. The system and method measures dynamic properties of the structure such as frequencies of resonance, mode shapes, and non-linear damping, and uses them in an analysis of the structure to compare the dynamic response of the structure with the anticipated properties of a structure built according to applicable building code requirements. The system and method thus quantifies a risk of failure of the structure by determining a risk ratio that compares an as-is condition of the structure with an as-designed condition of the structure.

According to one embodiment, a structure evaluation system includes an impact imparting unit, a plurality of sensors, a position locator, and an evaluator. The impact imparting unit applies impacts to a second region different from a first region of a structure to which traveling sections of a vehicle, which travels on the structure, apply impacts. The plurality of sensors detect elastic waves generated in the structure. The position locator locates a position of a source of the elastic waves on the basis of the elastic waves detected by each of the plurality of sensors. The evaluator evaluates a deterioration state of the structure on the basis of a position location result of the position locator.

The disclosure provides a method for identifying a modal frequency of a beam bridge by considering influence of environmental temperature. The method includes the following steps: installing a sensor on a newly-built beam bridge without damage, measuring a dynamic response of the beam bridge cinder ambient excitation, recording temperature data, processing by a modal parameter identification method to obtain a modal frequency value at the temperature, and starting from a modal frequency corresponding to the temperature, carrying out iterative calculation to obtain the modal frequency at any temperature. The modal frequency value at any temperature is obtained by arranging a small number of sensors and carrying out a small number of tests, so that the influence of the temperature on the modal frequency is quantified, furthermore, the part of environmental influence is eliminated in future damage evaluation of the beam bridge, which allows for a more accurate damage evaluation result.

A method for discovering, identifying, and monitoring of mechanical defects in a ferromagnetic underground or underwater structure. A magnetic scanner portable device is used to inspect the ferromagnetic underground structure and identify at least one portion with a magnetic field anomaly. Sets of permanent magnetic scanner sensors to monitor the magnetic field anomaly are placed adjacent to the at least one portion of the underground structure. A calculation unit, coupled to the sets of permanent magnetic scanner sensors is used to collect and process data. A stress-deformed state (SDS) and a risk-factor (RF) of the at least one portion with the magnetic field anomaly is presented on a display unit, which is coupled to the calculation unit.

Provided an apparatus including: a signal acquisition part that acquires an oscillation signal from a sensor that detects an oscillation induced in a target object; and an estimation part that obtains a feature value for each frame of the oscillation signal by applying Fourier transform to each frame extracted by a window of a predetermined length to calculate the feature value for the each frame in a frequency domain, and performs Gaussian mixture model-clustering on a time series of the feature values for respective frames to estimate one or more clusters, each of which is modeled with a Gaussian probability distribution best fit to the time series, and detect one or more events by detecting one or more corresponding clusters, a probability density value thereof greater than a predetermined threshold value.

According to an embodiment, a structure evaluation system includes a plurality of sensors, a position locator, a velocity calculator, and an evaluator. The sensors detect an elastic wave generated from a structure. The position locator derives a wave source distribution of the elastic waves generated from the structure, on the basis of the elastic waves. The velocity calculator derives a propagation velocity of the elastic wave generated from the structure, on the basis of the elastic waves. The evaluator evaluates the soundness of the structure on the basis of the wave source distribution and the propagation velocity of the elastic waves.

A measurement method includes: an acceleration data acquisition step of acquiring acceleration data output from an accelerometer that observes an observation point of a structure when a moving body moves on the structure; a speed vibration component calculation step of calculating a first speed vibration component by performing integration processing and filter processing on an acceleration based on the acceleration data; and a displacement amplitude estimation step of estimating a displacement amplitude of the structure when the moving body moves on the structure based on an amplitude of the first speed vibration component and a conversion function calculated based on an approximate expression of deflection of the structure and environmental information including a dimension of the moving body, a dimension of the structure, and a position of the observation point, which are created in advance.