An aerial cable management device includes a trunk; and a plurality of arms, each arm including a body defining a central pivot point and having a cable support element disposed at both opposite ends of the body, wherein each of the plurality of arms is rotatably coupled with the trunk in a shared direction of rotation.

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 for overhead transmission line installation includes tension pulling a transmission line over a path between a first support structure having a first mounting location and a second support structure having a second mounting location extending from the first mounting location to a first transition location on the second support structure, to a second transition location on the first support structure, and to the second mounting location. The transmission line is mounted at the first mounting location and the second mounting location. The mounting provides a slack portion of the transmission line between the first mounting location and the second mounting location. A portion of the slack portion is mounted proximate to the first mounting location or the second mounting location to provide an overhead transmission line extending between the first mounting location and the second mounting location and a remainder of the slack portion.

A testing procedure including a data collection procedure and a contrastive learning-based approach, for establishing a profile for utility poles surveyed in an embedding space. Unique properties of utility poles are preserved in a low-dimensional feature vector. Similarities between pairs of samples collected at the same or different poles is reflected by the Euclidean distance between the pole embeddings. During data collection—variabilities of excitation signals are manually introduced, e.g. impact strength, impact locations, impact time ambiguity, data collecting location ambiguity on a DFOS/DAS optical sensor fiber/cable. Data so collected provides a learned model learned complete information about a utility pole and is more robust with respect to uncontrollable factors during operation. A model training procedure that effectively extracts a utility pole intrinsic properties (e.g., structure integrity, dimensions, structure variety) and remote extrinsic influence (e.g., excitation strength, weather conditions, road traffic), without knowing the ground truth of these factors. The only identifying label required is an ID of any tested poles, which is readily available. The model is trained adaptively—end-to-end—is advantageously easy-to-implement on modern deep learning frameworks such as PyTorch.

A computer-readable, non-transitory medium storing a program that causes a computer to execute a process is provided. The process includes acquiring a backward Rayleigh scattered light from an optical fiber composite overhead ground wire which an electrical power transmission facility has; generating vibration information of a frequency band including a natural frequency of the optical fiber composite overhead ground wire, on a basis of the backward Rayleigh scattered light; and detecting abnormality of the electrical power transmission facility, on a basis of the vibration information.

A computer-readable, non-transitory medium storing a program that causes a computer to execute a process is provided. The process includes acquiring a backward Rayleigh scattered light from an optical fiber composite overhead ground wire provided along an electrical power transmission line, determining each of spectral densities of each of frequencies of vibration of the optical fiber composite overhead ground wire, on a basis of the backward Rayleigh scattered light, estimating a wind speed of a wind hitting the electrical power transmission line, on a basis of a first spectral density of a first frequency band including a natural frequency of the optical fiber composite overhead ground wire, and estimating a wind direction of the wind, on a basis of a second spectral density of a second frequency band which does not include the natural frequency of the optical fiber composite overhead ground wire.

Stabilization mechanisms may include at least one gripper mounted to a powerline-crawling robot, which may be configured to grasp a powerline supporting the powerline-crawling robot. At least one controller may be configured to control a lateral position of the at least one gripper. At least one inertial measurement unit may be configured to sense at least one of lateral movement and axial rotation of the powerline-crawling robot. The controller may control the lateral position of the gripper based on data from the inertial measurement unit. Various other related systems, devices, mechanisms, and methods are also disclosed.

The present disclosure describes a grommet formed of a polymeric material and adapted for securing a cable within a cable hanger. The grommet includes a main body having a generally cylindrical profile surrounding an interior cavity, the main body further having a length, a thickness, and a longitudinal axis, a slot extending the length of the main body which provides an entry point for the cable to be inserted into the interior cavity, a plurality of flex retention members extending into the interior cavity configured to grip and secure the cable within the interior cavity, and one or more grip enhancement features residing between an inner surface of the main body and the flex retention members. The grip enhancement features are configured to provide additional support to the flex retention members when a cable is inserted into the interior cavity.

The present invention discloses a dielectric predictable break load aerial drop cable comprising one or more optical transmission elements, a first layer surrounding the one or more optical transmission elements, a plurality of strength yarns surrounding the first layer, an outer sheath surrounding the plurality of strength yarns. In particular, the outer sheath has a plurality of strength members embedded in an equilateral position. Moreover, the dielectric predictable break load aerial drop cable breaks at a predefined break load with a neutral bending performance.

The present invention discloses a dielectric predictable break load aerial drop cable comprising one or more optical transmission elements, a first layer surrounding the one or more optical transmission elements, a plurality of strength yarns surrounding the first layer, an outer sheath surrounding the plurality of strength yarns. In particular, the outer sheath has a plurality of strength members embedded in an equilateral position. Moreover, the dielectric predictable break load aerial drop cable breaks at a predefined break load with a neutral bending performance.