G01M5/0091

THERMAL IMAGE AUXILIARY PROCESSING DEVICE, POSITIONING DEVICE AND METHOD THEREOF

A thermal image auxiliary processing method includes the following steps. A reference part is prepared. A reference positioning point or a reference positioning surface is established with the reference part. A cutting tool or a grinding tool is positioned with the reference positioning point or the reference positioning surface. According to a thermal image, a determined positioning point or a determined positioning surface is obtained. Through the above method, the present disclosure can be used for auxiliary positioning and wearing measurement of the cutting tool or the grinding tool, as well as for measuring the size, the angle or flatness of an object to be measured. Therefore, the present disclosure can avoid the problems of increased equipment downtime and realign errors caused by manual and visual measurement.

SHEAROGRAPHY SYSTEM FOR SUBSEA INSPECTIONS

The present invention proposes the use of the shearography technique in a system for the non-destructive inspection of composite material repairs applied to submerged metallic pipelines.

The shearography system of the invention is characterized in that it comprises at least one vision and lighting module (VLM) (1), at least one fixation module (FM) (2), at least one excitation module (TEM) (3), at least one command and power module (CPM) (4), and a computer (5).

The proposed system can be fixed to the repaired pipe by means of divers or ROVs, and the inspection control can be carried out entirely from the platform or surface support vessel.

Displacement component detection apparatus, displacement component detection method, and computer-readable recording medium
11585721 · 2023-02-21 · ·

A displacement component detection apparatus 10 is provided with: a displacement distribution calculation unit 11 configured to calculate, from time-series images of a measurement target region of an object 30 output from an image capturing device 20 configured to capture the images of the measurement target region, a displacement distribution in a region that corresponds to the measurement target region in the images; a movement amount calculation unit 12 configured to calculate, based on the displacement distribution and image capturing information, a movement amount in the surface direction of the measurement target region and a movement amount in the normal direction of the measurement target region; and a surface displacement calculation unit 13 configured to calculate, from the displacement distribution, a surface displacement component in the measurement target region, using the movement amount in the surface direction of the measurement target region and the movement amount in the normal direction of the measurement target region.

Method for detecting anomalies on or in a surface
11587220 · 2023-02-21 · ·

Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly. The thermal image numerical analysis method may then comprise removing a first number (n.sub.1) of first anomalies from the thermal image numerical analysis. Finally, the method may comprise comparing the first anomalies from the thermal image numerical analysis to the visual image.

Fiber optic sensing system for grid-based assets

A sensor system includes a sensor network comprising at least one optical fiber having one or more optical sensors. At least one of the optical sensors is arranged to sense vibration of an electrical device and to produce a time variation in light output in response to the vibration. A detector generates an electrical time domain signal in response to the time variation in light output. An analyzer acquires a snapshot frequency component signal which comprises one or more time varying signals of frequency components of the time domain signal over a data acquisition time period. The analyzer detects a condition of the electrical device based on the snapshot frequency component signal.

Fiber optic load sensors and systems therefor

A load sensing system for sensing a load on a structure can include an optical load sensing element configured to change an optical state based on a force applied thereto, an optical source operatively connected to the optical load sensing element and configured to input an input optical signal to the optical load element, and an optical detector configured to receive a returned optical signal from the optical load sensing element. The optical detector can be configured to detect one or more frequency peaks of the returned optical signal and to use the one or more frequency peaks of the returned optical signal to correlate to a load value of the load and output the load value indicative of the load.

Computer-implemented method and apparatus for automatically generating identified image data and analysis apparatus for checking a component

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.

AUTOMATIC TEST SYSTEM FOR ACTUAL STRESS OF A BRIDGE BASED ON DIC TECHNOLOGY

The present disclosure provides an automatic test system for actual stress of a bridge based on DIC technology, where the system includes a camera, a phosphor spraying device, a computer, and a sliding rail; the sliding rail is arranged on both sides of an upper wing of a box-shaped concrete beam; the phosphor spraying device is used to spray phosphor on a web of the box-shaped concrete beam to form speckles of varying light and shade; the camera is slidably connected to the sliding rail through a bracket, and is used to photograph the speckles and transmit a speckle image to the computer; and the computer is used to analyze and process the speckle image taken by the camera and generate a time history diagram of stress.

Mechanoluminescent Devices, Articles, and Methods
20230045070 · 2023-02-09 ·

Mechanoluminescent devices and articles, such as wearable articles, that include mechanoluminescent devices. The mechanoluminescent devices may have a lateral type architecture or a vertical type architecture. The mechanoluminescent devices may be sensors, including pressure sensors.

FLIGHT IMAGING SYSTEM AND METHOD

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.