The present disclosure relates to the automatic generation of characterized image data. For this purpose, a visual representation of a component is computed on the basis of existent structure data for the component, wherein the surface properties of the visual representation of the component may be varied based on predefined characteristic properties. Because, in the computation of such visual representations, both the component itself and the underlying characteristic surface properties are known, this information may be used for characterizing the corresponding parts in the visual representation in order to achieve automatic characterization of the computed visual representation.

Disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to predict failure of the high pressure system. Further disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to identify characteristics of one or more defects as they form and grow within components of the high pressure system. Characteristics of the defects include type, size, growth, and location.

A rail break detection device to which an output waveform from a vibration sensor, which is a first vibration sensor, and an output waveform from a vibration sensor, which is a second vibration sensor, are input, the vibration sensors being mounted on different positions of rails, includes a waveform similarity determination unit to compare impulse waveforms separated from the output waveforms or compare continuous waveforms separated from the output waveforms, and determine similarity therebetween, and detects a break of a rail.

The present invention discloses a boom monitoring method and engineering machinery comprising a boom monitoring system. The method comprises obtaining a boom damage signal monitored in boom operation by a piezoelectric sensing network formed by a plurality of piezoelectric sensors arranged at different points on a boom, and determining a damage position of the boom and a corresponding first boom damage value such that when the first boom damage value reaches a preset starting value of an optical fiber sensing network formed by a plurality of optical fiber sensors arranged at the different monitoring points on the boom, optical wave values of the corresponding monitoring points are obtained and a boom crack signal is determined. A second boom damage value is calculated according to the boom crack signal, which comprises a crack change factor and a crack length. According to the present invention, the boom is monitored with improved efficiency.

A flight imaging system and a method suitable where an unmanned flying object equipped with a visible camera and millimeter-wave radar is used, and a structure imaged by the visible camera and millimeter-wave radar mounted on the unmanned flying object are provided. A drone constituting the flight imaging system is equipped with a visible camera and a millimeter-wave radar. A processor of the drone performs control of the visible camera to capture a visible image of a surface layer of the structure, and control the millimeter-wave radar to transmit a millimeter wave toward the structure and receive a reflected wave of the millimeter wave from the structure, in a case of imaging the structure. During flight of the drone, the altitude of the drone is measured by an altitude meter mounted on the drone, altitude information indicating the measured altitude is acquired, and is used, in flying the drone.

Provided is a hammering test system. A hammering test system includes a hammering test device including a target, a traveling mechanism for automatically traveling on a to-be-tested surface, a marking mechanism configured to perform marking on the to-be-tested surface, an adsorbing mechanism for adsorbing to the to-be-tested surface, and a hammering test mechanism configured to conduct a hammering test on the to-be-tested surface, and a surveying instrument capable of performing automatic tracking and distance and angle measurements of the target. A hammering test is conducted by causing the hammering test device to travel to a desired position while adsorbing to a to-be-tested surface by the adsorbing mechanism. When it is determined that there is an abnormality, a marking is marked on the to-be-tested surface. The surveying instrument automatically tracks the target, and when conducting a hammering test, makes distance and angle measurements of the target.

A hammering test system includes a hammering test device including a target, a flying unit, and a hammering test mechanism configured to conduct a hammering test on a test object, a surveying instrument including a scanner for acquiring point cloud data by scanning with scanning light, and configured to be capable of performing tracking and distance and angle measurements of the target, and an arithmetic processing unit including a point cloud data analyzing unit configured to calculate shape data by analyzing point cloud data acquired by the scanner, and a flight plan calculating unit configured to calculate a flight plan of the hammering test device based on the shape data calculated by the point cloud data analyzing unit, and the surveying instrument tracks the target of the hammering test device and makes distance and angle measurements when the hammering test mechanism conducts a hammering test.

The present disclosure discloses a method for calculating an internal explosion load speed based on an incremental crack growth distance of a pipeline. The method includes steps of: respectively measuring at least three groups of distances between neighboring markings on forward and backward crack surfaces, and calculating the average values respectively to obtain the average incremental growth distances of forward and backward cracks; calculating the natural vibration frequency of the pipeline; and setting the ratio of backward crack speed to forward crack speed of the pipeline, then calculating the internal explosion load speed of the pipeline by a formula. The present disclosure provides a new effective method for calculating the internal explosion load speed based on the available parameters of the ruptured pipeline after explosion, which can provide a comparatively accurate estimation of internal explosion load speed, thereby providing references for inferring the explosion type occurred in the pipeline.

A method for determining a predictive life of a pressure containing component includes determining, from sensor data, one or more cycles. The method also includes generating one or more additional cycles. The method further includes determining a component feature is below a threshold. The method further includes generating one or more supplementary cycles. The method also includes determining, from the one or more cycles, the one or more additional cycles, and the one or more supplementary cycles, the component feature. The method includes determining the component feature exceeds the threshold. The method further includes determining, based at least in part on the one or more supplementary cycles, a predictive life for the pressure containing component.

Structural health monitoring (SHM)/nondestructive evaluation (NDE) exists as a tool in conjunction with manufactured pieces. Presently disclosed subject matter integrates automated video with a structural health monitoring system. In conjunction with bridge monitoring, integration of such two systems automates determination of the effect or correlation of vehicular loading on SHM data from a subject bridge. Such correlations help to understand the sources of structural health monitoring data, particularly acoustic emission data, in bridges and other structures, such as dams and nuclear plants. Automation of the evaluation of bridges and other structures increases accuracy and minimizes risk to workers and the public. Assessing the structural condition of bridges and other structures as presently disclosed also facilitates automated asset management of transportation systems, such as by state departments of transportation and other bridge/structural owners.