KR-20260067740-A - DRONES FOR PERFORMING REAL-TIME INTELLIGENT WILDLIFE PROTECTION AND DEVICES CONTROLLING THEM, AND APPARATUS THEREOF

KR20260067740AKR 20260067740 AKR20260067740 AKR 20260067740AKR-20260067740-A

Abstract

The present invention relates to a drone for performing real-time intelligent wildlife protection and a control device thereof, comprising: an environment adaptation module that adjusts the real-time flight path and operation of the drone by monitoring weather and environmental factors using sensors mounted on the drone so that the drone can respond to various environmental conditions such as weather changes and reduced visibility; a terrain exploration module that resolves terrain complexity by planning an optimal flight path using AI-based algorithms and terrain mapping; a battery life management module for extending the flight time of the drone and optimizing power usage; a signal interference enhancement module that performs operations to improve data transmission and connectivity using signal processing technology to solve challenges related to signal interference; a predictive maintenance module that includes a predictive maintenance function to monitor and detect the performance of the drone and performs operations to extend the operational life of the drone by providing early warnings; and a power device capable of utilizing energy harvesting methods by utilizing environmental or mechanical sources to provide a sustainable power supply for the drone.

Inventors

남윤영
모하메드 압델 바셋
압두알라 가말 압두알라
레다 모하메드 라마단
알라 마하무드 모하메드 엘모어
모하메드 아부하와쉬

Assignees

순천향대학교 산학협력단

Dates

Publication Date: 20260513
Application Date: 20241106

Claims (12)

In the case of drones, An environment adaptation module that adjusts the drone's real-time flight path and operation by monitoring weather and environmental factors using sensors mounted on the drone, so that the drone can respond to various environmental conditions such as weather changes and reduced visibility; A terrain navigation module that resolves terrain complexity by planning an optimal flight path using AI-based algorithms and terrain mapping; Battery life management module for extending the flight time of a drone and optimizing power usage; A signal interference enhancement module that performs operations to improve data transmission and connectivity using signal processing technology to solve problems related to signal interference; A predictive maintenance module that includes predictive maintenance functions to monitor and detect the performance of the drone, and performs actions to extend the operational life of the drone by providing early warnings; and A power device capable of utilizing an energy harvesting method by utilizing environmental or mechanical sources to provide a sustainable power supply for a drone; comprising Drones performing real-time intelligent wildlife protection.
In paragraph 1, The above drone is It further includes a central control unit that utilizes cloud-based technology to manage and process drone data, providing enhanced computing performance and data storage. Drones performing real-time intelligent wildlife protection.
In paragraph 2, The above drone is Performing an action that enables real-time analysis and decision-making to provide schedule data for wildlife conservation efforts Drones performing real-time intelligent wildlife protection.
In paragraph 1, The above drone is Performing actions that reduce reliance on existing batteries and enhance the operational autonomy of drones by providing a sustainable power supply. Drones performing real-time intelligent wildlife protection.
In paragraph 1, The above environment adaptation module is Equipped with environmental sensors, it continuously measures important weather parameters including wind speed, rainfall, humidity, and fog density; by monitoring these factors in real time, this module enables the drone to immediately adjust flight paths and operational settings, performing actions that enhance stability and data accuracy in adverse weather conditions. Drones performing real-time intelligent wildlife protection.
In paragraph 5, The above environment adaptation module is By utilizing an AI model trained on an extensive dataset of weather scenarios, it analyzes current visibility conditions and applies image processing techniques to enhance the clarity and quality of captured images, compensating for reduced visibility caused by fog, rain, or other obstacles, thereby enabling the drone to effectively capture high-quality data even in situations with reduced visibility. Drones performing real-time intelligent wildlife protection.
processor; Network interface; Memory; and It includes a computer program that is loaded into the memory and executed by the processor, The above processor is, Instructions for adjusting the real-time flight path and operation of a drone by monitoring weather and environmental factors using sensors mounted on the drone so that the drone can respond to various environmental conditions such as weather changes and reduced visibility; Instructions for resolving terrain complexity by planning an optimal flight path using AI-based algorithms and terrain mapping; Instructions for managing battery life to extend drone flight time and optimize power usage; Instructions for performing actions to improve data transmission and connectivity using signal processing techniques to solve problems related to signal interference; Instructions that include predictive maintenance functions to monitor and detect the performance of the drone, and perform actions to extend the operational life of the drone by providing early warnings; Instructions for performing actions that utilize energy harvesting methods by utilizing environmental or mechanical sources to provide a sustainable power supply for a drone; including A drone control device that controls a drone performing real-time intelligent wildlife protection.
In Paragraph 7, The above processor Performing instructions that further include managing and processing drone data using cloud-based technology to provide enhanced computing performance and data storage. A drone control device that controls a drone performing real-time intelligent wildlife protection.
In paragraph 8, The above processor Performing by further including instructions that execute actions capable of providing schedule data for wildlife conservation efforts by enabling real-time analysis and decision-making. A drone control device that controls a drone performing real-time intelligent wildlife protection.
In Paragraph 7, The above processor Performing instructions that additionally include actions to provide a sustainable power supply, reduce reliance on existing batteries, and enhance the operational autonomy of the drone. A drone control device that controls a drone performing real-time intelligent wildlife protection.
In Paragraph 7, The above processor It continuously measures important weather parameters including wind speed, rainfall, humidity, and fog density, and by monitoring these factors in real time, this module further includes instructions that enable the drone to immediately adjust flight paths and operational settings to perform actions that improve stability and data accuracy in adverse weather conditions. A drone control device that controls a drone performing real-time intelligent wildlife protection.
In Paragraph 11, The above processor It further includes instructions to perform actions that enable the drone to effectively capture high-quality data even in situations with reduced visibility by utilizing an AI model trained on an extensive dataset of weather scenarios to analyze current visibility conditions and apply image processing techniques to enhance the clarity and quality of captured images, thereby compensating for reduced visibility caused by fog, rain, or other obstacles. A drone control device that controls a drone performing real-time intelligent wildlife protection.

Description

Drones for performing real-time intelligent wildlife protection and devices controlling them The present invention relates to a drone for performing real-time intelligent wildlife protection and a device for controlling the same. More specifically, it relates to an advanced drone system designed to solve the unique challenges of wildlife protection through an integrated and intelligent approach, and to a drone and a device for controlling the same that can improve performance and stability in diverse and challenging environments by combining various innovative functions. Over the past decade, drones have emerged as an innovative technology, providing highly mobile aerial platforms capable of transporting various sensory equipment to previously inaccessible areas. Drones are becoming increasingly widely used to support conservation activities by scanning animal populations and habitats and studying animal behavioral ecology by observing individual and group activities; however, applying drones to wildlife conservation presents several unique challenges that require sophisticated technical solutions to ensure optimal performance and stability. One of the major challenges facing drones in wildlife conservation is the impact of adverse weather. Drones are frequently deployed in environments with strong winds, heavy rain, fog, and other severe weather phenomena; these conditions significantly affect the drones' stability and maneuverability, potentially causing them to deviate from their flight paths, resulting in reduced visibility and a decreased ability to capture clear images. Consequently, these weather-related issues can compromise data quality and increase the risk of operational failure. Wildlife conservation often involves monitoring diverse and challenging terrains, such as dense forests, mountainous regions, and wetlands, and navigating these complex landscapes poses a significant obstacle for drones. Drones may struggle to provide optimized flight paths, making it difficult to maintain stable flight and effectively complete missions; consequently, battery life is a critical factor affecting operational performance. Drones are often constrained by limited battery capacity, restricting flight time and operating range, while the need to support additional features—such as high-resolution cameras, sensors, and communication systems—can further exacerbate power consumption issues. Therefore, efficient battery management and optimization strategies are essential for extending flight time and maximizing the operational efficiency of drones. The drone of the present invention may be optimized to solve these problems and perform actions to protect wild animals in real time. The aforementioned background technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and it cannot be considered technology that was known to the general public prior to the filing of the present invention. FIG. 1 illustrates an exemplary environment in which a drone and a drone control device according to some embodiments of the present disclosure may be applied. FIG. 2 is a block diagram relating to components included in a drone according to some embodiments of the present disclosure. FIG. 3 is an exemplary drawing of a drone in which the present invention can be implemented according to some embodiments of the present disclosure. FIG. 4 is a drawing of an exemplary computing device capable of implementing a device and/or system according to various embodiments of the present disclosure. Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the attached drawings. The advantages and features of the present disclosure and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the attached drawings. However, the technical concept of the present disclosure is not limited to the following embodiments but can be implemented in various different forms. The following embodiments are provided merely to complete the technical concept of the present disclosure and to fully inform those skilled in the art of the scope of the present disclosure, and the technical concept of the present disclosure is defined only by the scope of the claims. It should be noted that when assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the present disclosure, if it is determined that a detailed description of related known components or functions could obscure the essence of the present disclosure, such detailed description is omitted. Unless otherwise defined, all terms used herein (including technical and scientific terms) may be used in a meaning commonly understood by th