An integral tension test system for a large-tonnage basalt fiber anchor cable includes: a plurality of basalt fiber anchoring bars each comprising a basalt fiber reinforced plastic (BFRP) bundle, a steel strand, a first and a second steel casing pipes, the BFRP bundle including a plurality of BFRPs, and a grating array temperature, stress and vibration sensing optical cables bonded in the BFRP; a vibration table and a reaction frame arranged thereon, wherein the first steel casing pipe of the basalt fiber anchoring bar is located in the reaction frame, the steel strand penetrates one end of the reaction frame to be connected to a center hole jack, and the second steel casing pipe of each basalt fiber anchor cable is located outside the reaction frame to be anchored; and a data acquisition module connected to all of the grating array temperature, stress and vibration sensing optical cables.

Provided are embodiments for method and system for performing an integrated ice protection with prognostics and health management using fiber optic sensors. Embodiments can include reading a signal from each sensor of an array of sensors installed on a surface of a structure or equipment, wherein each sensor is a fiber optic sensor, and generating a map based on reading the signal from each sensor, wherein the map monitors a condition of the surface detected by each sensor. Embodiments can also include determining at least one of an abnormal condition or a failure based at least in part on reading the signal from each sensor; and performing at least one of adjusting power control for the structure or equipment or communicating the abnormal condition or failure of the structure or equipment.

Methods for performing maintenance operations using unmanned aerial vehicles (UAVs). The methods are enabled by equipping a UAV with a maintenance tool capable of performing a desired maintenance operation (e.g., nondestructive inspection) on a limited-access surface of a large structure or object (e.g., a wind turbine blade). The UAV uses re-orientation of lifting means (e.g., vertical rotors) to move the maintenance tool continuously or intermittently across the surface of the structure while maintaining contact with the surface of the structure undergoing maintenance.

This application describes a fibre optic cable structure which is advantageous for distributed fibre optic sensing, for example distributed acoustic sensing (DAS). The fibre optic cable structure includes an optical fibre for distributed fibre optic sensing and is configured to comprise at least one longitudinal section of a first type, which exhibits a change in effective optical path length of the optical fibre of one polarity in response to a given applied force, and which is adjacent to at least one longitudinal section of a second type, which exhibits a change in effective optical path length of the optical fibre of the opposite polarity in response to an equivalent applied force. When used for DAS, the response of a sensing portion that includes sections of both the first and second types, will include or exclude certain wavenumber by summation, which provides a directional sensitivity to incident waves.

A damage detection system includes one or more emitters, one or more receivers, and a controller. Emitters are arranged to transmit continuous beam or intermittent light pulses toward rotor blades during operation of a turbomachine. Light returns collected at the receivers define a light return amplitude profile. The controller analyzes the light return amplitude profile to identify light amplitude changes indicative of one or more damaged blades. When the light return profile satisfies one or more damage criteria, the controller outputs an indication of blade damage to another turbomachine controller, system, or display.

To provide a novel and improved information processing device that can make more efficient an inspection performed by a flying body capable of performing imaging. Provided is an information processing device including an imaging position information acquisition unit configured to acquire imaging position information at a time when a structure is imaged which is acquired by an imaging device configured to fly over a periphery of die structure to image the structure on the basis of certain flight information, and a damage data generating unit configured to use a captured image of the structure imaged by the imaging device and the imaging position information and to generate data related to damage of the structure including position information of damage of the structure included in the captured image.

An apparatus and method to be used for the automated selection, inspection, analysis, and disposition of tools that are installed on milling drums used by an asphalt milling machine to remove a layer of asphalt from a road surface that is being resurfaced is disclosed. Asphalt milling machines are also known as cold planer, pavement planer, pavement recycler, or roto-mill machines. The disclosed apparatus and method comprises a robot, one or more 3-dimensional scanners, one or more digital 2-dimensional cameras, and a controller. A work surface is provided for where the robot may select a tool to be inspected, place the tool on a rotating pedestal, inspect the tool while rotating the tool to capture all aspects of the tool, perform an analysis on the images captured, and depending on the analysis, classify the tool as reusable, degraded, or scrap.

A system and method to assess utility pole integrity, by using existing telecom fiber optic cable as a sensor cable, instant mechanical impact on the pole(s), DAS technology and a machine learning model. An instant mechanical impact creates a vibration event on the optical fiber cable mounted/suspended on a target pole, which is detected/recorded by DAS. By applying a machine learning model on the DAS signals, the target pole's integrity condition is obtained.

A drone system for collecting structural condition data about a structure having an array of sensors disposed at various locations on the structure and methods of using such a drone system are disclosed herein. The drone inspection system leverages neural networks to calculate a drone flight path to classify the location of passive sensors and calculate a drone flight path to collect structural condition data about the structure using line of sight sensors for digital twin generation. Some of the sensors disposed on the structure may be passive sensors that comprise energy harvesters and must be energized to report the structural collection data to the drone. The drone inspection system may comprise an energy transfer module for energizing the passive sensor via the energy harvester.

An optical-fiber-embedding sheet which is a strip-shaped sheet material containing an optical fiber to be used as a sensor and is configured of a base material and an adhesive layer formed thereover which is to be bonded to a placement object where the optical fiber is to be placed, the optical fiber having been embedded in the adhesive layer. The optical fiber is placed by applying a primer, which is for curing the adhesive layer by a chemical reaction with the adhesive layer, to a placement object for the optical fiber and thereafter applying the optical-fiber-embedding sheet to the portion of the placement object to which the primer has been applied.