A building monitoring computer system for monitoring building integrity may be provided. Various types of sensors may be embedded throughout or within certain portions of different types of building or construction material making up the building, such as within roofing, foundation, or structural materials. The sensors may be in wireless communication with a home controller. The sensors may be water, moisture, temperature, vibration, or other types of sensors, and may detect unexpected or abnormal conditions within the home. The sensors and/or home controller may transmit alerts to a mobile device of the home owner associated with the unexpected condition, and/or that remedial actions may be required to repair the home or mitigate further damage to the home. The sensor data may also be communicated to an insurance provider remote server to facilitate the insurance provider communicating insurance-related recommendations, updating insurance policies, or preparing insurance claims for review for home owners.

An inventive approach is disclosed to integrate Digital Image Correlation (DIC) with the Acoustic Emission method that may be used for structural health monitoring and assessment of critical structural components in civil, mechanical, and aerospace industries. The inventive approach relies on passively recording acoustic emission across the specimen being tested and activating the DIC cameras automatically to measure deformation on the specimen's surface. The resulting acousto-optic system can be used to determine damage initiation, progressive damage development, identify critical regions and make lifetime predictions of the tested specimen.

In one embodiment, a system and method for determining a natural frequency of a structure involve modeling the structure, creating a synthesized excitation comprising a plurality of waves having various frequencies within a defined range of frequencies, applying the synthesized excitation to a base of the modeled structure, and generating response data indicative of a natural frequency of the modeled structure that is based upon the application of the synthesized excitation.

A damage identification method based on cable force tests of a cable system and test error self-adaptive analysis is proposed to measure cable forces in prestressed steel structures and find out possible damage positions of the cable system. The method includes placing a laser velocimeter; measuring the vibration speed history data of the measuring point P on the cable by the laser velocimeter; calculating the cable force; calculating all the cable forces of the cable system through the same procedure; analyzing error between cables and finding out the possible damage of the cable or of the tie rod connected to the cable. The dynamic response characteristics of both in-plane and out-of-plane of a cable can be obtained through the method of the present invention. The self-verified more accurate results can be obtained, and the damage in a cable system can be determined according to error self-adaptive analysis.

A method and arrangement of fibre optic distributed sensing for detection of an event at an event location within a blind region including using at least one optical fibre arranged at least partly along an object to be monitored and at least one light pattern interrogator coupled with the optical fibre; injecting light patterns at subsequent times; detecting backscatter light from the light patterns; and analyzing the backscatter light to determine the event location so that a detection range of the fiber optic distribution range of the fiber-optic distributed sensing system is extended into a blind region conventionally not accessible for detecting acoustic disturbances or acoustic events.

A data recording and transmission method and system for use in balancing a propeller of an aircraft. The method comprises operating the propeller in-flight, receiving, during operation of the propeller in-flight, vibration data associated with the propeller, retrieving, from a non-volatile memory on-board the aircraft, configuration data associated with the propeller, and transmitting the vibration data and the configuration data to a data processing device configured to determine a balancing solution for the propeller based one the vibration data and the configuration data.

Systems and methods for operating a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system include a length of optical sensing fiber suspended aerially by a plurality of utility poles and in optical communication with a DFOS interrogator/analyzer. The method includes operating the DFOS/DAS system while manually exciting more than one of the poles to obtain frequency response(s) of the excited poles; contrastively training a convolutional neural network (CNN) with the frequency responses obtained; classifying the utility poles using the contrastively trained CNN; and generating a profile map of the excited poles indicative of the classified utility poles.

A method is provided including the steps: —first excitation of the object via a multifrequency signal; —detecting a first response signal of the object at one or multiple measuring points at the object; —transforming the first response signal from a time range into a frequency-dependent range; —selecting one or multiple frequencies, based on the frequency-dependent range; —second excitation of the object based on the selected frequencies; —detecting a second response signal of the object at one or multiple measuring points of the object; —ascertaining a mechanical parameter based on the second response signal.

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 derivation method includes: an acquisition step of acquiring time-series data including a physical quantity generated at a predetermined observation point in a structure as a response caused by a movement of a formation moving object formed with one or more moving objects on the structure; an environment information acquisition step of acquiring, as environment information, information on a structure length that is a length of the structure, a moving object length that is a length of the moving object, and an installation position of a contact portion of the moving object with the structure; a fundamental frequency derivation step of deriving a fundamental frequency of the time-series data based on the time-series data; a passing period derivation step of deriving a passing period during which the formation moving object passes through the structure based on the time-series data; and a number derivation step of deriving the number of the moving objects included in the formation moving object based on the environment information, the fundamental frequency, and the passing period.