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AUTONOMOUS WALL-CLIMBING SYSTEM
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 13 November 2024
Abstract
ABSTRACT
An autonomous wall-climbing system (100) for cleaning vertical surfaces, comprising: a plurality of sensors configured to detect and analyze the surface to be cleaned; a navigation module configured to control the movement of the system on vertical surfaces; a cleaning module integrated within the system to perform cleaning operations; a control unit configured to manage the overall operation of the system, ensuring stability, navigation, and cleaning efficiency.
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Patent Information
| Application ID | 202411087446 |
| Invention Field | MECHANICAL ENGINEERING |
| Date of Application | 13/11/2024 |
| Publication Number | 48/2024 |
Inventors
| Name | Address | Country | Nationality |
|---|---|---|---|
| PRASHANT RATHORE | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411 | India | India |
| MANINDER SINGH | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411 | India | India |
Applicants
| Name | Address | Country | Nationality |
|---|---|---|---|
| LOVELY PROFESSIONAL UNIVERSITY | JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411 | India | India |
Specification
Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of autonomous cleaning systems and, in particular, to an autonomous wall-climbing system for efficient vertical surface cleaning.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The cleaning of vertical surfaces such as walls, windows, and facades of tall buildings presents significant challenges. Traditional methods often require manual labor, which can be time-consuming, expensive, and hazardous. Additionally, manual cleaning methods , Claims:1. An autonomous wall-climbing system (100) for cleaning vertical surfaces, comprising:
a plurality of sensors configured to detect and analyze the surface to be cleaned;
a navigation module configured to control the movement of the system on vertical surfaces;
a cleaning module integrated within the system to perform cleaning operations;
a control unit configured to manage the overall operation of the system, ensuring stability, navigation, and cleaning efficiency.
2. The system (100) as claimed in claim 1, wherein the plurality of sensors includes optical sensors, proximity sensors, and accelerometers.
3. The system (100) as claimed in claim 1, wherein the cleaning module comprises one or more cleaning mechanisms selected from the group consisting of brushes, suction systems, and water jets.
4. The system (100) as claimed in claim 1, wherein the control unit is configured to analyze sensor data, control the navigation and cleaning modules, and ensure stable and efficient performance.
5. The system (100) as
Documents
| Name | Date |
|---|---|
| 202411087446-COMPLETE SPECIFICATION [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-DECLARATION OF INVENTORSHIP (FORM 5) [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-DRAWINGS [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-FIGURE OF ABSTRACT [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-FORM 1 [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-FORM-9 [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-POWER OF AUTHORITY [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-PROOF OF RIGHT [13-11-2024(online)].pdf | 13/11/2024 |
| 202411087446-REQUEST FOR EARLY PUBLICATION(FORM-9) [13-11-2024(online)].pdf | 13/11/2024 |
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