A system and method for monitoring conditions in a crawl space is provided. The system generally comprises at least one sensor, computing device, data aggregator operably connected to the at least one sensor, processor operably connected to the computing device, power supply, and non-transitory computer-readable medium coupled to the processor and having instructions stored thereon. The system is designed to collect condition data via the at least one sensor and determine whether the conditions within the crawl space could have a detrimental impact on the building. In particular, the system is designed to monitor settling of a building over time and alert a user if the settling exceeds a predefined threshold.

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.

A system, apparatus, and method for remotely detecting defects in a structure may proceed non-destructively. A mobile sensing platform may place sensors in a desired positioning relative to the structure. The desired position may include a non-contacting relation between the sensors and structure. The mobile sensing platform may project laser beams onto the structure and sense backscattered light via the sensors. Variations in the backscattered light may correspond to motion of the structure, such as vibrations. By calculating the frequency and amplitude of the vibrations, defects in the structure may be detected. By correcting for noise, such as that associated with acceleration of the mobile sensing platform, accuracy and precision of defect detection may be enhanced.

Provided is an inspection support system capable of improving work efficiency or work accuracy in inspection of structures. A self-traveling apparatus autonomously travels in response to a first travel command based on a first inspection image to a target position, and shoots photographing targets captured in the first inspection image to acquire a second inspection image; and an information processing apparatus extracts, from among the photographing targets captured in the second inspection image, a matched target that matches the photographing target captured in the first inspection image, and correlates the identification information that identifies, in an identifiable manner, the photographing targets that are captured in the first inspection image and are matched to the matched target, with the matched target.

An apparatus comprises a flexible filament structure, and a fiber optic sensor with a buffer material that locally bonds the fiber optic sensor to the flexible filament structure to create a bond between the fiber optic sensor and the flexible filament structure to transfer strain from the flexible filament structure to the fiber optic sensor to allow the fiber optic sensor to detect strain on the flexible filament structure while maintaining flexibility in the flexible filament structure. A fiber optic interrogator may be optically coupled to the fiber optic sensor and configured to measure strain. A method comprises embedding a fiber optic sensor with a buffer material in or on a flexible filament structure. Thereafter, the buffer material is activated via heating or curing to locally adhere the fiber optic sensor to the flexible filament structure to create a local bond. The local bond transfers strain from the flexible filament structure to the fiber optic sensor.

Disclosed are buried cable protection systems and methods that employ impulse signal detection by optical fiber sensing technologies, and which provide such protection automatically and in real-time. The methods theoretically model a time difference of arrival (TDoA) of an impulse wave travelling to a DFOS sensor fiber cable. A model employing a set of propagation relationships that account for vague knowledge about wave propagation speed and threat range(s) is fitted with parameters based on a numerical simulation—without specific knowledge of a source of vibration. As compared to vibration magnitude information, time of arrival (ToA) information is more consistent and less sensitive to ambiguities and inaccuracies. In addition, the model parameter can be adjusted adaptively when temporal resolution of the sensor changes or fluctuates. As a result, our inventive systems and methods effectively detect impulse signals from machines or other activities generating vibratory impulse ground events at different distances to a fiber optic cable and distinguish same from background noises including those caused by transportation modes such as train or vehicular traffic.

A tank for pressurized gas, such as hydrogen, comprises a structure made of composite material and a sensor for detecting and locating a deformation of the structure. The sensor comprises at least two first linear sensitive elements, which are sensitive to a non-localized elongation, and are rigidly attached the structure and laid out substantially parallel to each other. A deformation of the structure is localized in a section defined by at least one of the first linear sensitive elements.

An integrated rapid infrastructure monitoring system for identifying defects in an underlying surface, comprising: at least one actuator; and, at least one impactor operatively connected to the actuator, wherein the actuator is configured to transition the integrated rapid infrastructure monitoring system from a first configuration with at least one of a motive force and an impact bounce force of the impactor, where the impactor is located on a first side of the integrated rapid infrastructure monitoring system, to a second configuration, where the impactor is located on a second side of the integrated rapid infrastructure monitoring system.

Systems, devices and methods enable generation and monitoring of support platform structural conditions in a manner that overcomes drawbacks associated with conventional approaches (e.g., load cells) for generating and monitoring similar operating condition information. In preferred embodiments, such systems, devices and methods utilize fiber optic strain gauges (i.e., fiber optic sensors) in place of (e.g., retrofit/data replacement) or in combination with conventional load cells. The fiber optic sensors are strategically placed at a plurality of locations on one or more support bodies of a support platform. In preferred embodiments, the fiber optic strain gauges are placed in positions within a hull and/or one or more pontoons of an offshore platform. Such positions are selected whereby resulting operating condition data generated by the fiber optic strain gauges suitably replaces data received by conventionally constructed and located load cells of an offshore platform (e.g., a TLP).

A system comprises an engine mounted to an aircraft wing by a plurality of clevis pins, a respective strain sensor mounted in at least one of the clevis pins, and a monitoring system operatively connected to each respective strain sensor to monitor stress in each of the clevis pins having a respective strain sensor.