A displacement and weight association apparatus includes a measuring unit configured to measure a displacement amount generated on a structure by a weight of a vehicle traveling on the structure; an aggregating unit configured to obtain a distribution of the measured displacement amount; an extracting unit configured to extract a displacement amount corresponding to a car from the distribution; and an associating unit configured to associate the extracted displacement amount with a weight of the car.

An optical fiber sensing system according to the present disclosure includes a sensing optical fiber (20), a medium (10) with which the sensing optical fiber (20) is integrated, and which is arranged in a monitoring target (50), an optical fiber detection unit (30) which is connected to the sensing optical fiber (20) integrated with the medium (10), the optical fiber detection unit (30) is configured to receive an optical signal from the sensing optical fiber (20), and detect a pattern according to a state of the monitoring target (50), contained in the optical signal, and a state detection unit (40) configured to detect a state of the monitoring target (50), based on the pattern contained in the optical signal.

A structure displacement amount measurement apparatus includes: an acquiring unit configured to acquire a displacement amount caused on a structure by a weight of a vehicle traveling on the structure along a time series; an estimating unit configured to estimate a section in which displacement is caused based on time-series data of the displacement amount; a detecting unit configured to detect a feature value of change in displacement amount within the estimated section; a determining unit configured to determine whether or not the estimated section is a section of displacement due to a weight of a single vehicle based on the detected feature value; and an extracting unit configured to extract a displacement amount from the time-series data within a section of displacement due to a weight of a single vehicle based on a result of the determination.

A structural vibration monitoring method based on computer vision and motion compensation provided in the present disclosure adopts a dual-camera system for self-motion compensation. The dual-camera system consists of a primary camera and a secondary camera rigidly connected to each other. The primary camera directly measures a structure displacement. This method inevitably includes an error generated due to motion of the primary camera. Meanwhile, the secondary camera measures displacements of translation and rotation, so as to estimate a measurement error caused by the motion of the primary camera. Then, with the displacement directly measured by the main camera minus the measurement error, a corrected structure displacement is obtained, thereby truthfully and accurately monitoring vibrations of a bridge structure.

A bridge detecting vehicle with two foldable arms, including: a vehicle body, slewing mechanisms, horizontal and vertical arms and telescopic arms. One end of the two horizontal arms is respectively arranged on the slewing mechanisms, and the other end of the two horizontal arms is respectively connected to the two horizontal arms. A crossed arm is provided between the two horizontal arms. The two vertical arms are respectively connected to the two horizontal arms via ball joints. A detecting device is respectively provided at rear ends of the two telescopic arms.

An imaging parameter output method is a method of outputting an imaging parameter of an imaging device that captures an image for measuring a displacement representing a movement of an object. The imaging parameter output method includes: obtaining object information identifying the object, and a geometric imaging condition for imaging the object; calculating the imaging parameter including a candidate imaging area for placing the imaging device and the accuracy in measuring the displacement in the candidate imaging area, based on the object information and the geometric imaging condition, without imaging the object using the imaging device; and outputting the imaging parameter.

Integrated automatic detection equipment includes a tractor, a first test vehicle and a second test vehicle. A central control system, a geometric linear detection system, a road three-dimensional (3D) detection system, and a laser 3D scanning system are arranged on the tractor. A front end of the first test vehicle is detachably connected to a rear end of the tractor, and a rear end of the first test vehicle is detachably connected to a front end of the second test vehicle. A drop hammer loading system is arranged on the first test vehicle. A bridge dynamic detection system is arranged on the second test vehicle. The geometric linear detection system, the road 3D detection system, and the drop hammer loading system are used for a road detection.

The crack evaluation apparatus includes a crack information acquiring unit that performs image processing on a captured image of a structure and acquires crack information about cracks of the structure; a crack vector generating unit that generates crack vectors on the basis of the acquired crack information, and generates, among the crack vectors that are generated, a coupling crack vector coupling, according to a coupling standard, crack vectors that are spatially separated from each other; a display unit that displays, in a classified manner, the crack vectors and the coupling crack vector that are generated; an operating unit that accepts a user operation for editing the crack vectors and the coupling crack vector that are displayed; and an evaluation unit that acquires an evaluation result of the cracks of the structure on the basis of crack information of the crack vectors and the coupling crack vector that are edited.

A stress measurement device includes a first obtaining unit obtaining thermal data including information indicating a temperature of a measuring region, a second obtaining unit obtaining data related to stress occurring in one part of the measuring region, and a controller finding stress occurring in the measuring region from the thermal data and the data related to the stress. The controller finds, first waveform data respectively on the one part and a part other than the one part based on a change with time of the thermal data, and second waveform data based on a change with time of the data related to the stress. The controller finds, disturbance data through a deduction of the second waveform data from the first waveform data on the one part, and stress data indicating stress occurring in the part through a deduction the disturbance data from the first waveform data on the part.

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 can separate the measured response into low amplitude and high amplitude data to reduce the influence of outside forces and mass. 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.