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2results about How to "Avoid widespread power outages" patented technology

A snake-proof barrier for power transmission towers

ActiveCN119184059Bavoid climbingensure safetyAnimal repellantsPower gridTower
This invention relates to the field of snake-proofing technology, specifically a snake-proofing device for power transmission towers. It includes a power pole, a support body fixedly installed on the outer wall of the pole, and a dispersing assembly. The dispersing assembly is installed on the outer wall of the support body, and a driving assembly is located below the dispersing assembly. The dispersing assembly includes a first rotating ring, a second rotating ring, a track ring, and a driving component. The track ring is fixedly installed on the outer wall of the support body. This invention, through the installation of the dispersing and driving components, can repeatedly push snakes off the power pole. In conjunction with the track ring, the dispersing sleeve and dispersing rod can rotate to push the snake off, increasing the driving effect. During the driving process, the second rotating ring collides with a vibrating block, generating strong vibrations. Since snakes are sensitive to vibrations, the strong vibrations frighten them, causing them to escape, thus preventing snakes from climbing the power pole, ensuring the safety of the power grid, and avoiding large-scale power outages.
Owner:CECEP (YUNCHENG) SOLAR ENERGY TECH CO LTD

Transformer winding fault diagnosis method, device and equipment and storage medium

The invention discloses a transformer winding fault diagnosis method, device and equipment and a storage medium, which are applied to the field of fault diagnosis, and comprise the following steps: obtaining a frequency response curve graph of a to-be-detected transformer winding; inputting the frequency response curve graph into a pre-trained transformer winding fault diagnosis model, and outputting a diagnosis result of the to-be-detected transformer winding; wherein the transformer winding fault diagnosis model is a deep convolutional neural network comprising a residual module; the pre-trained transformer winding fault diagnosis model is obtained by training based on a training database comprising a normal frequency response curve graph, a single-fault frequency response curve graph and a multi-fault superposition frequency response curve graph. Even under the complex working condition of multi-fault superposition, the fault can be accurately identified and judged, the early-stage superposition fault can be timely found, intervention measures are taken, large-area power failure caused by fault expansion is avoided, the safety and stability of power grid operation are remarkably improved, and the economic loss is reduced.
Owner:STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST +1