Artificial intelligence bee-shaped drone

Abstract

This novel AI-powered bee-inspired drone combines biomimetic flight, autonomous pollination, and environmental monitoring technologies. Through AI algorithms and wireless data transmission, it enhances agricultural pollination efficiency and environmental monitoring accuracy. The drone comprises a flight module, a sensing module, a pollination device, and an environmental monitoring system. The flight module ensures autonomous navigation and flight stability. The sensing module collects data on temperature, humidity, wind speed, light intensity, and air quality, transmitting it in real-time to the cloud for analysis. The pollination device simulates bee pollination behavior, optimizing pollination strategies based on environmental conditions. The core unit incorporates a main control component that analyzes data using AI technology, ensuring stable operation and adaptability to changing environments. This novel drone aligns with Environmental, Social, and Governance (ESG) principles and the United Nations Sustainable Development Goals (SDGs), making it suitable for agricultural pollination, farmland environmental monitoring, and smart agriculture. It provides a forward-looking technological solution for agricultural automation and ecological conservation.

Claims

1. An artificial intelligence bee-type drone, comprising: a drone body, the drone body including a main control element, a flight module, a sensing module, a pollination device, and an environmental monitoring device; wherein, The main control element is electrically connected to the flight module, the sensing module, the pollination device, and the environmental monitoring device. The main control element is located inside the UAV body and is electrically connected to the flight module, the sensing module, the pollination device, and the environmental monitoring device for controlling, processing data, and transmitting communication between the modules. The flight module comprises a propeller body, a drive motor, a gyroscope, and the main control element. The propeller body includes a screw, a propeller, a drive shaft, and a bracket connecting the drive shaft to provide propulsion. A drive motor is located at one end of the drive shaft and connected to it to provide rotational power. A gyroscope is located within the UAV body. Inside the drone body, a main control element is used for flight attitude sensing and stability control. This element is located inside the drone body and electrically connected to the drive motor and gyroscope, receiving operational commands and controlling the flight path and flight status. The sensing module comprises a core body, a front sensing element, and a body structure. The core body is structurally and electrically connected to the flight module, the sensing module, the pollination device, and the environmental monitoring device, serving as the central hub for power distribution, control calculations, and data processing. A front sensing element is located at the front end of the core body and connected to it. This front sensing element includes a haptic sensor, left and right compound eye camera elements, a right wing, and a left... The drone comprises wings and a head for environmental detection and image acquisition; a body structure including a thorax, abdomen, and stinger, wherein the thorax provides overall structural support, the abdomen houses a battery and the main control unit, and the stinger is located at the end of the abdomen for environmental marking; and a pollination device formed by an articulated body; an articulated body located below and structurally connected to the core body, the articulated body including forelegs, midlegs, and hindlegs, each leg having a front section, a middle section, and a bottom section, and pollination devices are respectively provided on the bottom sections of the forelegs, midlegs, and hindlegs, enabling the AI ​​bee-type drone to simulate bees in pollination operations and collect pollen during the pollination process. The transfer of the environmental monitoring device includes: an environmental sensing unit; an environmental sensing unit disposed inside the core body and electrically connected to the main control element, the environmental sensing unit including at least one photographic element and a plurality of environmental sensing elements, the photographic element being used to capture images, the environmental sensing elements being used to monitor agricultural environmental data, the agricultural environmental data including at least temperature, humidity, wind speed and air quality; when the flight module, the sensing module, the pollination device and the environmental monitoring device work together, the artificial intelligence bee-type drone can perform autonomous flight, pollination operations and environmental monitoring, and transmit the acquired image data and environmental data to a cloud database or external device through wireless transmission technology.

2. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The environmental sensing unit includes an air quality monitoring sensor, a temperature sensor, a humidity sensor, a light sensor, and a wind speed sensor.

3. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 2, wherein, The environmental sensing unit can be installed below the core body or directly fixed inside the drone body.

4. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The pollination device can adjust its pollination strategy based on environmental sensing data to optimize pollination efficiency.

5. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The drone itself can be remotely operated via remote control, computer, tablet or smartphone, and can connect to a cloud database.

6. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The photographic element includes at least a single lens or multiple lenses for image capture and environmental monitoring.

7. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The images captured by this camera element can be wirelessly transmitted to a cloud database or an external display device.

8. The external display device as described in claim 7, wherein, This includes smartphones, computers, laptops, tablets, remote controls, or other devices that can connect wirelessly.

9. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The pollination device operates by simulating the behavior of bees during pollination and adjusting the pollination path according to environmental conditions.

10. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The core unit contains a main control element that can transmit environmental data and pollination information to a remote server for data analysis and decision support.

11. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 10, wherein, The main control element can analyze environmental data through artificial intelligence algorithms and optimize pollination strategies based on the analysis results.

12. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 4, wherein, The pollination device can be unfolded, folded, and has an adaptive mechanism to adapt to different crop types.

13. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The drone body can be made of metal, plastic, carbon fiber, or composite materials.

14. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, All components of the drone can be disassembled for easy maintenance and portability.

15. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The drone can adjust its flight dynamics through pulse width modulation (PWM) technology to ensure the stability and accuracy of autonomous flight.

16. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The drone is equipped with a rechargeable or non-rechargeable battery module and uses an energy management system to stabilize the voltage and regulate the current.

17. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The drone itself can optimize its flight mode through machine learning technology to adapt to different operational scenarios.

18. The artificial intelligence bee-type unmanned aerial vehicle as described in claim 1, wherein, The drone itself has remote update capabilities, enabling software upgrades and system optimizations via wireless technology.

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