Abstract: ABSTRACT AI-ASSISTED PORTABLE WIND TURBINE FOR POWER GENERATION This invention is system is comprises with 1. Turbine Blades, 2. Rotor, 3. Shaft, 4. Generator, 5. AI Control System, 6. Battery Pack, 7. Portable Frame, 8. GPS. AI assisted portable wind turbine for power generation is designed to be easy to use and operate. It relies on advanced artificial intelligence AI algorithms to optimize power generation efficiency while maintaining portability. The control system provides real-time optimization, predictive analytics, and remote monitoring and control. The AI System enables the turbine to operate at maximum efficiency, generating more power from renewable energy sources and contributing to a cleaner, more sustainable future.
1. An AI-assisted portable wind turbine for power generation system comprises with Turbine Blades (101), Rotor (102), Shaft (103), Generator (104), AI Control System (105), Battery Pack (106), Portable Frame (107), GPS Module (108).
2. The system as claimed in claim 1, wherein AI assisted portable wind turbine for power generation is designed to be easy to use and operate and AI module to optimize power generation efficiency while maintaining portability.
3. The system as claimed in claim 1, wherein control system provides real-time optimization, predictive analytics, and remote monitoring and control.
4. The system as claimed in claim 1, wherein Turbine Bladesare designed to be lightweight and aerodynamic, with a curvature that allows them to capture wind energy efficiently.
5. The system as claimed in claim 1, wherein the rotor is connected to the blades and is responsible for converting the rotational energy of the blades into electrical energy.
6. The system as claimed in claim 1, wherein the shaft connects the rotor to the generator and transfers the rotational energy from the rotor to the generator.
7. The system as claimed in claim 1, wherein the generator converts the mechanical energy from the rotor into electrical energy that is stored or used to power devices directly.
8. The system as claimed in claim 1, wherein the AI control system uses sensors to measure wind speed, direction, and other environmental factors, and then uses advanced algorithms to adjust the turbine's angle and direction in real time; and it maximizes power output while also ensuring that the turbine is stable and safe to operate.
9. The system as claimed in claim 1, wherein the battery pack stores excess energy generated by the turbine and provides a stable power source for devices or systems that require continuous power; and the portable frame is designed to be lightweight and easy to assemble and disassemble, making it suitable for use in remote locations or emergency situations.
10. The system as claimed in claim 1, wherein the GPS module is used in the AI Control System to fetch and process location data of the Wind Turbine; and the AI Assisted Portable Wind Turbine for Power Generation is designed to be easy to use and operate. Dated this April 20, 2023
Description:Title of The Invention
AI-Assisted Portable Wind Turbine for Power Generation
Field of the Invention
This invention relates to AI-assisted portable wind turbine for power generation
Background of the Invention
US9709028B2: In embodiments of the present invention improved capabilities are described for a mobile wind power support structure, comprising a superstructure with mobile platform support structures, and a plurality of deployable rotating wind power structures, wherein the plurality of deployable rotating wind power structures are positioned in the superstructure through a wind orientation facility.
US8146219B2: A small, easily transportable wind turbine system has a square rail base secured to the ground by stakes and by its own weight. Slanted vertical legs connect a smaller square upper support perimeter to the base. A three-section telescoping mast is attached to the base and to the upper support. Winches and guy wires raise the second mast. As the second mast is raised, static guy wires raise the third mast. A wind generating turbine is attached to the top of the third mast. A controller senses the maximum output of the turbine and raises or lowers the height of the masts such that the minimum wind speed necessary to produce the maximum electric output is produced. The controller also feeds energy to a battery storage system and directly to a utility panel inverter is connected. The present invention solves the problems, such as the agriculture and forestry organic waste material processing of rural area or remote districts, so that the nearest consumption of agricultural-forestry biomass waste, reduces cost of electricity-generating.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is AI algorithms used in the system are designed to optimize power generation efficiency, maximizing power output in real time based on environmental factors. The lightweight, portable design of the turbine makes it suitable for use in remote locations or emergency situations where traditional power sources may not be available. The system is designed to be easy to assemble and operate, requiring minimal technical expertise. The system generates power from renewable energy sources, reducing reliance on fossil fuels and contributing to a cleaner, more sustainable energy.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Wind turbines are a widely used source of renewable energy. However, traditional wind turbines are often large and stationary, requiring significant infrastructure to operate. Portable wind turbines offer a potential solution, but their effectiveness is often limited by their size and the lack of control over their orientation.
The AI Assisted Portable Wind Turbine for Power Generation is designed to overcome these limitations by combining advanced AI algorithms with a lightweight, portable turbine design. The structure of the turbine consists of the following components:
• Turbine Blades: The blades are designed to be lightweight and aerodynamic, with a curvature that allows them to capture wind energy efficiently.
• Rotor: The rotor is connected to the blades and is responsible for converting the rotational energy of the blades into electrical energy.
• Shaft: The shaft connects the rotor to the generator and transfers the rotational energy from the rotor to the generator.
• Generator: The generator converts the mechanical energy from the rotor into electrical energy that can be stored or used to power devices directly.
• AI Control System: The AI control system uses sensors to measure wind speed, direction, and other environmental factors, and then uses advanced algorithms to adjust the turbine's angle and direction in real time. This maximizes power output while also ensuring that the turbine is stable and safe to operate.
• Battery Pack: The battery pack stores excess energy generated by the turbine and provides a stable power source for devices or systems that require continuous power.
• Portable Frame: The portable frame is designed to be lightweight and easy to assemble and disassemble, making it suitable for use in remote locations or emergency situations.
• GPS: The GPS is used in the AI Control System to fetch and process location data of the Wind Turbine.
The AI Assisted Portable Wind Turbine for Power Generation is designed to be easy to use and operate. It relies on advanced artificial AI algorithms to optimize power generation efficiency while maintaining portability. The Control System provides Real-time Optimization, Predictive Analytics, and Remote Monitoring and Control. The AI System enables the turbine to operate at maximum efficiency, generating more power from renewable energy sources and contributing to a cleaner, more sustainable future.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Wind turbines are a widely used source of renewable energy. However, traditional wind turbines are often large and stationary, requiring significant infrastructure to operate. Portable wind turbines offer a potential solution, but their effectiveness is often limited by their size and the lack of control over their orientation.
The AI Assisted Portable Wind Turbine for Power Generation is designed to overcome these limitations by combining advanced AI algorithms with a lightweight, portable turbine design. The AI Assisted Portable Wind Turbine for Power Generation is designed to be easy to use and operate. It relies on advanced artificial intelligence (AI) algorithms to optimize power generation efficiency while maintaining portability.
The Control System provides Real-time Optimization, Predictive Analytics, and Remote Monitoring and Control. The AI System enables the turbine to operate at maximum efficiency, generating more power from renewable energy sources and contributing to a cleaner, more sustainable future. The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Wind turbines are a widely used source of renewable energy. However, traditional wind turbines are often large and stationary, requiring significant infrastructure to operate. Portable wind turbines offer a potential solution, but their effectiveness is often limited by their size and the lack of control over their orientation.
Disclosed herein an AI-assisted portable wind turbine for power generation system comprises with Turbine Blades (101), Rotor (102), Shaft (103), Generator (104), AI Control System (105), Battery Pack (106), Portable Frame (107), GPS Module (108). The AI Assisted Portable Wind Turbine for Power Generation is designed to overcome these limitations by combining advanced AI algorithms with a lightweight, portable turbine design. The structure of the turbine consists of the following components:
• Turbine Blades: The blades are designed to be lightweight and aerodynamic, with a curvature that allows them to capture wind energy efficiently.
• Rotor: The rotor is connected to the blades and is responsible for converting the rotational energy of the blades into electrical energy.
• Shaft: The shaft connects the rotor to the generator and transfers the rotational energy from the rotor to the generator.
• Generator: The generator converts the mechanical energy from the rotor into electrical energy that can be stored or used to power devices directly.
• AI Control System: The AI control system uses sensors to measure wind speed, direction, and other environmental factors, and then uses advanced algorithms to adjust the turbine's angle and direction in real time. This maximizes power output while also ensuring that the turbine is stable and safe to operate.
• Battery Pack: The battery pack stores excess energy generated by the turbine and provides a stable power source for devices or systems that require continuous power.
• Portable Frame: The portable frame is designed to be lightweight and easy to assemble and disassemble, making it suitable for use in remote locations or emergency situations.
• GPS: The GPS is used in the AI Control System to fetch and process location data of the Wind Turbine. The AI Assisted Portable Wind Turbine for Power Generation is designed to be easy to use and operate. It relies on advanced artificial intelligence (AI) algorithms to optimize power generation efficiency while maintaining portability.
The Control System provides Real-time Optimization, Predictive Analytics, and Remote Monitoring and Control. The AI System enables the turbine to operate at maximum efficiency, generating more power from renewable energy sources and contributing to a cleaner, more sustainable future.
, Claims:We Claim:
1. An AI-assisted portable wind turbine for power generation system comprises with Turbine Blades (101), Rotor (102), Shaft (103), Generator (104), AI Control System (105), Battery Pack (106), Portable Frame (107), GPS Module (108).
2. The system as claimed in claim 1, wherein AI assisted portable wind turbine for power generation is designed to be easy to use and operate and AI module to optimize power generation efficiency while maintaining portability.
3. The system as claimed in claim 1, wherein control system provides real-time optimization, predictive analytics, and remote monitoring and control.
4. The system as claimed in claim 1, wherein Turbine Bladesare designed to be lightweight and aerodynamic, with a curvature that allows them to capture wind energy efficiently.
5. The system as claimed in claim 1, wherein the rotor is connected to the blades and is responsible for converting the rotational energy of the blades into electrical energy.
6. The system as claimed in claim 1, wherein the shaft connects the rotor to the generator and transfers the rotational energy from the rotor to the generator.
7. The system as claimed in claim 1, wherein the generator converts the mechanical energy from the rotor into electrical energy that is stored or used to power devices directly.
8. The system as claimed in claim 1, wherein the AI control system uses sensors to measure wind speed, direction, and other environmental factors, and then uses advanced algorithms to adjust the turbine's angle and direction in real time; and it maximizes power output while also ensuring that the turbine is stable and safe to operate.
9. The system as claimed in claim 1, wherein the battery pack stores excess energy generated by the turbine and provides a stable power source for devices or systems that require continuous power; and the portable frame is designed to be lightweight and easy to assemble and disassemble, making it suitable for use in remote locations or emergency situations.
10. The system as claimed in claim 1, wherein the GPS module is used in the AI Control System to fetch and process location data of the Wind Turbine; and the AI Assisted Portable Wind Turbine for Power Generation is designed to be easy to use and operate.
Dated this April 20, 2023
| # | Name | Date |
|---|---|---|
| 1 | 202311028839-STATEMENT OF UNDERTAKING (FORM 3) [20-04-2023(online)].pdf | 2023-04-20 |
| 2 | 202311028839-REQUEST FOR EARLY PUBLICATION(FORM-9) [20-04-2023(online)].pdf | 2023-04-20 |
| 3 | 202311028839-POWER OF AUTHORITY [20-04-2023(online)].pdf | 2023-04-20 |
| 4 | 202311028839-OTHERS [20-04-2023(online)].pdf | 2023-04-20 |
| 5 | 202311028839-FORM-9 [20-04-2023(online)].pdf | 2023-04-20 |
| 6 | 202311028839-FORM FOR SMALL ENTITY(FORM-28) [20-04-2023(online)].pdf | 2023-04-20 |
| 7 | 202311028839-FORM 1 [20-04-2023(online)].pdf | 2023-04-20 |
| 8 | 202311028839-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [20-04-2023(online)].pdf | 2023-04-20 |
| 9 | 202311028839-EDUCATIONAL INSTITUTION(S) [20-04-2023(online)].pdf | 2023-04-20 |
| 10 | 202311028839-DECLARATION OF INVENTORSHIP (FORM 5) [20-04-2023(online)].pdf | 2023-04-20 |
| 11 | 202311028839-COMPLETE SPECIFICATION [20-04-2023(online)].pdf | 2023-04-20 |
| 12 | 202311028839-FORM 18 [14-06-2025(online)].pdf | 2025-06-14 |