METHOD FOR STOCHASTIC INSPECTIONS ON POWER GRID LINES BASED ON UNMANNED AERIAL VEHICLE-ASSISTED EDGE COMPUTING

Organization Name

NANJING UNIVERSITY OF INFORMATION SCIENCE & TECHNOLOGY

Inventor(s)

METHOD FOR STOCHASTIC INSPECTIONS ON POWER GRID LINES BASED ON UNMANNED AERIAL VEHICLE-ASSISTED EDGE COMPUTING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240353861 titled 'METHOD FOR STOCHASTIC INSPECTIONS ON POWER GRID LINES BASED ON UNMANNED AERIAL VEHICLE-ASSISTED EDGE COMPUTING

The present disclosure describes a method for stochastic inspections on power grid lines using unmanned aerial vehicles and edge computing.

Stochastic distributed inspection unmanned aerial vehicles are used to acquire video images of target power grid areas, reducing inspection costs and time.
Superior unmanned aerial vehicles help minimize energy consumption and extend operation time under the same payload conditions.
The near-far effect in communications between mobile unmanned aerial vehicles is eliminated using NOMA technology.
Position coordinates, system resource allocations, and task offload decision schemes are solved using a combination of DDPG algorithm in deep reinforcement learning with a genetic algorithm.

Potential Applications: - This technology can be applied in the inspection and maintenance of power grid lines, improving efficiency and reducing costs. - It can also be used in other industries that require aerial inspections, such as infrastructure monitoring and agriculture.

Problems Solved: - Reduces funds and time costs associated with power grid line inspections. - Minimizes energy consumption of unmanned aerial vehicles. - Eliminates the near-far effect in communications between vehicles.

Benefits: - Cost-effective and efficient power grid line inspections. - Extended operation time for unmanned aerial vehicles. - Improved data processing and decision-making in inspections.

Commercial Applications: Title: "Efficient Stochastic Inspections for Power Grid Lines Using Unmanned Aerial Vehicles" This technology can be utilized by power companies, infrastructure maintenance firms, and agricultural businesses for aerial inspections, leading to cost savings and improved operational efficiency.

Questions about Stochastic Inspections on Power Grid Lines Using Unmanned Aerial Vehicles: 1. How does the use of superior unmanned aerial vehicles help minimize energy consumption in inspections?

  - Superior unmanned aerial vehicles are designed to optimize energy usage and extend operation time under the same payload conditions, leading to more efficient inspections.

2. What is the significance of eliminating the near-far effect in communications between mobile unmanned aerial vehicles?

  - Eliminating the near-far effect ensures reliable and efficient communication between vehicles, improving overall coordination and data transfer during inspections.

Original Abstract Submitted

the present disclosure relates to a method for stochastic inspections on power grid lines based on unmanned aerial vehicle-assisted edge computing. according to the method, a stochastic distributed inspection unmanned aerial vehicle is adopted to acquire video images on a target power grid area, which can reduce funds and time costs of inspections. with assistance of superior unmanned aerial vehicle, a goal is to minimize energy consumption of an unmanned aerial vehicle system and extend operation time of the unmanned aerial vehicles under same payload conditions, while processing video image data collected from the inspection unmanned aerial vehicles. the near-far effect generated by communications between mobile unmanned aerial vehicles is eliminated by introducing a noma, and position coordinates, system resource allocations and task offload decision schemes are solved by using a method of combining a ddpg algorithm in a deep reinforcement learning with a genetic algorithm.