Disclosed is an assembly having: at least one drive wheel configured to roll against a hoistway rail of an elevator system; and a drive mechanism supported by the assembly and configured to drive the at least one of drive wheel, wherein the assembly is configured to support one or more sensors.

A pipeline pressure test that accounts for measurement uncertainties includes a method for performing a pressure test of a pipe section of a pipeline including receiving a desired pressure to be applied to the pipe section and a duration of time the desired pressure is to be applied to the pipe section, receiving a pressure measurement of a fluid, a temperature measurement of the fluid, a volume measurement of the fluid, and a pipe section strain measurement, determining a change in fluid pressure and a volume change, determining a pressure change uncertainty and a volume change uncertainty, checking that the pressure change uncertainty is within a pressure uncertainty threshold and that the volume change uncertainty is within a volume uncertainty threshold, determining whether the desired pressure has been applied to the inner surface of the pipe section for the duration of time; and outputting a result of the testing.

The invention discloses an experimental system of surrounding rock and lining structure under unequal surrounding pressure and water pressure, comprising: reaction wall, lining structure, external water pressure loading mechanism, internal water pressure loading mechanism, prestress-loading mechanism, surrounding rock layer and monitoring device. The Experimental System can simulate the stress characteristics and related deformation characteristics of the surrounding rock of the tunnel and the lining structure of the water conveyance tunnel under complex internal and external loads in the actual environment, and can help to analyze and study the broken appearance of the lining structure and the crack distribution after cracking.

Methods, systems, and apparatuses are provided for detecting and determining conditions of and conditions within a fluid conduit.

Robotic devices that can be utilized on pipes of any material and of a variety of pipe diameters are provided. The robotic device utilizes a ducted fan to create the normal forces needed to adhere to any part of a pipe. The chassis of the device can be segmented to allow for application on various diameter pipes.

The present invention relates generally to a system and method for measuring the structural characteristics of an object. The object is subjected to an energy application processes and provides an objective, quantitative measurement of structural characteristics of an object. The system may include a device, for example, a percussion instrument, capable of being reproducibly placed against the object undergoing such measurement for reproducible positioning. The system includes features for adjusting the energy applied to an energy application tool to compensate for the physical characteristics or type of the object, and/or for orientation of the device relative to the horizontal during measurement. The system also includes a disposable feature or assembly for minimizing cross-contamination between tests. The structural characteristics as defined herein may include vibration damping capacities, acoustic damping capacities, structural integrity or structural stability.

A sensor unit includes an orientation sensor, an electronic processor coupled to the orientation sensor, and memory coupled to the electronic processor and storing support structure configuration data and instructions. The instructions, when executed by the electronic processor, cause the sensor unit to monitor a position of a conductor support structure associated with the sensor unit based on data from the orientation sensor and generate an alert message responsive to determining that the position violates a position threshold. The position threshold is generated based on the support structure configuration data.

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.

Disclosed herein is a system, apparatus and method directed to detecting damage to an optical fiber of a medical device. The optical fiber includes one or more core fibers each including a plurality of sensors configured to (i) reflect a light signal based on received incident light, and (ii) alter the reflected light signal for use in determining a physical state of the multi-core optical fiber. The system also includes a console having non-transitory computer-readable medium storing logic that, when executed, causes operations of providing a broadband incident light signal to the multi-core optical fiber, receiving reflected light signals, receiving reflected light signals of different spectral widths of the broadband incident light by one or more of the plurality of sensors, identifying at least one unexpected spectral width or a lack of an expected spectral width, and determining the damage has occurred to the optical fiber based on the identification.