INTELLIGENT STRUCTURAL PROTECTION SYSTEMS AND METHODS

Information

  • Patent Application
  • 20230296804
  • Publication Number
    20230296804
  • Date Filed
    March 16, 2022
    2 years ago
  • Date Published
    September 21, 2023
    7 months ago
Abstract
Systems and methods for deployment of a protective component, generation of a customized design for the protective component, or combinations thereof are associated with a structure comprising a portion, a neural network model, processor(s), and memory storing machine readable instructions. When executed for deployment, the neural network model predicts the likelihood of the occurrence of the natural event in the geographic area within the time frame as high as defined by when the likelihood is above a threshold, and deploys the protective component for protecting the portion of the structure when the likelihood is high. For customized design, the neural network model is used to access dimension and weather data associated with a structure and weather data to generate the customized design of the protective component for the structure.
Description
Claims
  • 1. An intelligent structural protection system comprising: a structure comprising a portion;a protective component;one or more processors;one or more memory components communicatively coupled to the one or more processors; andmachine readable instructions stored in the one or more memory components that cause the intelligent structural protection system to perform at least the following when executed by the one or more processors: access weather data within a geographic area in which the structure is located;determine, using an artificial intelligence neural network trained model and based on the weather data, a likelihood of an occurrence of a natural event in the geographic area within a time frame;compare the likelihood of the occurrence of the natural event in the geographic area within the time frame to a threshold;predict the likelihood of the occurrence of the natural event in the geographic area within the time frame as high as defined by when the likelihood is above the threshold; anddeploy, during the time frame, the protective component for protecting the portion of the structure when the likelihood of the occurrence of the natural event is high.
  • 2. The intelligent structural protection system of claim 1, wherein the machine readable instructions further cause the intelligent structural protection system to perform at least the following when executed by the one or more processors: determine an end of the occurrence of the natural event.
  • 3. The intelligent structural protection system of claim 2, wherein the machine readable instructions further cause the intelligent structural protection system to perform at least the following when executed by the one or more processors: retract the protective component responsive to determining the end of the occurrence.
  • 4. The intelligent structural protection system of claim 1, wherein the weather data includes one or more of temperature data, heat data, pressure data, moisture data, and humidity data associated with the geographic area in which the structure is located.
  • 5. The intelligent structural protection system of claim 1, wherein the natural event comprises a hurricane, a hail storm, a tornado, or a flood.
  • 6. The intelligent structural protection system of claim 1, wherein the structure is a building, a vehicle, a boat, or an aircraft.
  • 7. The intelligent structural protection system of claim 1, wherein the machine readable instructions further cause the intelligent structural protection system to perform at least the following when executed by the one or more processors: determine the geographic area using GPS coordinates.
  • 8. A method for deployment of a protective component in relation to a structure comprising: accessing weather data within a geographic area in which the structure is located;determining, using an artificial intelligence neural network trained model and based on the weather data, a likelihood of an occurrence of a natural event in the geographic area within a time frame;comparing the likelihood of the occurrence of the natural event in the geographic area within the time frame to a threshold;predicting the likelihood of the occurrence of the natural event in the geographic area within the time frame is high as defined by when the likelihood is above the threshold; anddeploying, during the time frame, the protective component for protecting a portion of the structure when the likelihood of the occurrence of the natural event is high.
  • 9. The method of claim 8, wherein the weather data includes one or more of temperature data, heat data, pressure data, moisture data, and humidity data associated with the geographic area in which the structure is located.
  • 10. The method of claim 8, wherein the natural event comprises a hurricane, a hail storm, a tornado, or a flood.
  • 11. The method of claim 8, wherein the structure is a building, a vehicle, a boat, or an aircraft.
  • 12. The method of claim 8, further comprising determining the geographic area using GPS coordinates.
  • 13. The method of claim 8, further comprising determining an end of the occurrence of the natural event.
  • 14. The method of claim 13, further comprising retracting the protective component responsive to determining the end of the occurrence.
  • 15. A method for generating a customized design of a protective component for a structure using a computing device, the structure comprising a portion, the method comprising: accessing, from one or more databases, dimensions data of the structure and historical weather data associated with a geographic area in which the structure is located;analyzing, using an artificial intelligence neural network trained model on the computing device, the dimensions data of the structure and the historical weather data associated with the geographic area;predicting, using the artificial intelligence neural network trained model, design characteristics of the protective component based on the analyzing; andgenerating, using the artificial intelligence neural network trained model, the customized design of the protective component that is configured for protecting at least the portion of the structure.
  • 16. The method of claim 15, wherein the historical weather data includes one or more of historical occurrences of natural events, historical temperature data, historical heat data, historical pressure data, historical moisture data, and historical humidity data associated with the geographic area in which the structure is located.
  • 17. The method of claim 16, wherein the one or more historical occurrences of natural events comprises historical data relating to occurrences of a hurricane, a hail storm, a tornado, or a flood.
  • 18. The method of claim 15, wherein the dimensions data of the structure includes a shape of a roof of the structure, contours of the roof of the structure, or angles associated with the roof of the structure.
  • 19. The method of claim 15, further comprising determining the geographic area using GPS coordinates.
  • 20. The method of claim 15, wherein the structure is a building, a vehicle, a boat, or an aircraft.