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AI-DRIVEN HEALTH RECOMMENDATIONS FOR SWIVEL HEAD MILLING MACHINE MAINTENANCE CUSTOM CHANNEL CARD
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 11 November 2024
Abstract
Disclosed herein a system of AI-driven Health Recommendations for Swivel Head Milling Machine Maintenance Custom Channel Card comprises of ADHRSHCNode (100), which is outfitted with a BeagleBone Processor Board (100F), Neural Stick (100A), External Hat Customized HMI Card (100E), HMI Display (100B), Piezo buzzer (100C), and Power Supply (100D); and this improves the accuracy of AI-driven health recommendations and maintenance alerts. Central processing unit of this innovation is the BeagleBone Processor Board, which handles data from the Swivel Head Milling Machine and performs edge computing functions necessary to produce AI-driven maintenance alerts and health recommendations in real time.
Patent Information
Application ID | 202411086961 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 11/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
DR. (AR.) ATUL KUMAR SINGLA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. SHAILESH KUMAR SINGH | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. VISHAL SHARMA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. SACHIN KUMAR SINGH | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
NAVDEEP SINGH | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. LALIT BHALLA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
LOVELY PROFESSIONAL UNIVERSITY | JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
Specification
Description:FIELD OF THE INVENTION
This invention relates to AI-driven Health Recommendations for Swivel Head Milling Machine Maintenance Custom Channel Card.
BACKGROUND OF THE INVENTION
The present problem is on the lack of a proactive and efficient maintenance system for swivel head milling machines, which results in unplanned downtime, increased maintenance costs, and operational challenges. Conventional maintenance methods usually rely more on prearranged schedules than on real-time equipment health monitoring. This dependence frequently results in circumstances where important problems are identified only after they have gotten worse.
This cutting-edge device serves as a cutting-edge remedy for proactive maintenance and Swivel Head Milling Machine health monitoring. The smooth amalgamation of IoT, AI, and ML technologies enables the prompt acquisition of machine data. The gathered data is concurrently sent to a cloud-based platform and processed locally for instant insights. AI-driven suggestions are produced through the analysis of this data by cloud-based machine learning algorithms that make use of historical records and pre-trained datasets. Through an intuitive display, these insights are sent directly to machine operators, providing immediate alarms and maintenance recommendations.
US10239131B2- The present invention relates to embodiments of a machine tool, in particular a multi-spindle milling machine, comprise a machine frame, a workpiece clamping device for clamping a workpiece, an axis slide assembly arranged on the machine frame, and a spindle carrier assembly which is arranged on the machine frame and has at least two tool-carrying work spindles. The axis slide assembly is configured to linearly move the workpiece clamped at the workpiece clamping device by way of three controllable linear axes X, Y and Z. The work spindles are arranged at a turret which can be rotated or swiveled about a turret axis at respectively equal distance from the turret axis, and the spindle axes of the work spindles are aligned or can be aligned in parallel to one another and in parallel to the turret axis.
RESEARCH GAP: Customized card with IoT and AI Recommendations for Swivel Head Milling Machine is the novelty of the system.
CN103962602B- Patent of the present invention discloses a kind of numerical control multi-shaft gantry drilling and milling machine tool, including a gantry, is arranged below at described gantry and workpiece can be made at the X-direction of horizontal plane and a lathe bed of Y-direction motion;Described lathe bed is provided with the clamping device for clamping workpiece, the most hard-wired gantry frame in described lathe bed top is provided with gang drill, described gang drill includes multiple drilling-milling apparatus, described drilling-milling apparatus is driven its in the vertical direction to move up and down by two-stage power set, the two-stage realizing vertical range between drilling-milling apparatus and workpiece adjusts, and drilling-milling apparatus is driven it to rotate by same set of driving means.The present invention substantially increases high-volume and bores the operating efficiency of Milling Machining, reduces the gap with advanced country.
RESEARCH GAP: Customized card with IoT and AI Recommendations for Swivel Head Milling Machine is the novelty of the system.
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.
The originality The ADHRSHCNode is a structured procedure that integrates many components to guarantee the well-being and effectiveness of maintenance for Swivel Head Milling Machines. The central processing unit of the system, the BeagleBone Processor Board, is in charge of gathering, processing, and organizing incoming data. The External Hat Customized HMI Card connects to the milling machine's HMI port directly to retrieve detailed information on the machine's condition, performance, and other pertinent factors. This data is then sent to the BeagleBone Processor Board, which handles edge device processing. The Neural Stick helps with data analysis and is probably used for AI and machine learning jobs. Simultaneously, real-time data is compared with pre-trained datasets and historical data using advanced machine learning algorithms on a dedicated cloud server.
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:
FIGURE 1: SYSTEM ARCHITECTURE
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.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
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.
The originality The ADHRSHCNode is a structured procedure that integrates many components to guarantee the well-being and effectiveness of maintenance for Swivel Head Milling Machines. The central processing unit of the system, the BeagleBone Processor Board, is in charge of gathering, processing, and organizing incoming data. The External Hat Customized HMI Card connects to the milling machine's HMI port directly to retrieve detailed information on the machine's condition, performance, and other pertinent factors. This data is then sent to the BeagleBone Processor Board, which handles edge device processing. The Neural Stick helps with data analysis and is probably used for AI and machine learning jobs. Simultaneously, real-time data is compared with pre-trained datasets and historical data using advanced machine learning algorithms on a dedicated cloud server.
AI-driven recommendations and suggestions on the milling machine's health and maintenance requirements are generated using this analysis as a foundation. These suggestions are distributed through a number of means. With the External Hat Customized HMI Card connected, the HMI Display provides the machine operator with immediate feedback and alarms in real time. Quick responses to possible problems or necessary maintenance chores are made possible by this instant on-site notice. Beyond the immediate working context, the system also expands its reach. Operators and maintenance staff can get detailed insights, recommendations, and historical performance data from a consolidated platform provided by the customized web dashboard that is accessed through the Internet. Through preventive maintenance measures and reduced downtime, this remote accessibility improves overall monitoring and decision-making.
BEST METHOD OF WORKING
1. Real-time environmental data collection from the Swivel Head Milling Machine is facilitated by the ADHRSHCNode, which is outfitted with a BeagleBone Processor Board, Neural Stick, External Hat Customized HMI Card, HMI Display, Piezo buzzer, and Power Supply. This improves the accuracy of AI-driven health recommendations and maintenance alerts.
2. The central processing unit of this innovation is the BeagleBone Processor Board, which handles data from the Swivel Head Milling Machine and performs edge computing functions necessary to produce AI-driven maintenance alerts and health recommendations in real time.
3. The ADHRSHCNode's Neural Stick interface is utilized to support AI and machine learning operations, improving the system's capacity to interpret intricate data patterns from the Swivel Head Milling Machine and produce astute real-time maintenance recommendations.
4. The BeagleBone Processor Board's External Hat Customized HMI Card, which is essentially an External Hat attached to the board, is used as a direct interface to the swivel head milling machine. It gathers extensive data and facilitates smooth communication with the board, allowing for real-time monitoring and the display of AI-driven health recommendations and alerts for operators.
5. The Swivel Head Milling Machine's AI-driven health recommendations and alerts are generated in real time, and operators can access them instantly through the HMI Display connected to the ADHRSHCNode. This allows for timely and well-informed decision-making.
6. The power Supply that is equipped with ADHRSHCNode, is used for essential energy source, ensuring continuous operation of the innovation by providing the needed power to all components, facilitating seamless data processing, and enabling immediate time AI-driven health recommendations along with alerts for the Swivel Head Milling Machine.
ADVANTAGES OF THE INVENTION
1. The ADHRSHCNode works as a vital sensor node in this innovation, providing real-time environmental data collecting from the Swivel Head Milling Machine to boost the accuracy of AI-driven health recommendations and maintenance alerts.
2. This invention revolves around the BeagleBone Processor Board, which acts as the central processing unit responsible for handling data from the Swivel Head Milling Machine and performing edge computing operations necessary to produce AI-driven maintenance alerts and health recommendations in real time.
3. The Neural Stick is a key component of this invention, providing crucial assistance for tasks involving AI and machine learning. It improves the system's capacity to instantly produce intelligent maintenance recommendations and analyze intricate data patterns from the Swivel Head Milling Machine.
4. The External Hat Customized HMI Card acts as a direct interface to the Swivel Head Milling Machine, collecting detailed data and enabling seamless connection with the BeagleBone Processor Board. This makes it easier to monitor in real time and show operators AI-driven health advice and alerts.
5. The HMI Display plays a vital role in user interaction by offering an immediate visual interface for operators to receive real-time AI-driven health recommendations and alarms issued from the Swivel Head Milling Machine. Decisions are made promptly and intelligently as a result.
, Claims:1. A system of AI-driven Health Recommendations for Swivel Head Milling Machine Maintenance Custom Channel Card comprises of ADHRSHCNode (100), which is outfitted with a BeagleBone Processor Board (100F), Neural Stick (100A), External Hat Customized HMI Card (100E), HMI Display (100B), Piezo buzzer (100C), and Power Supply (100D); and this improves the accuracy of AI-driven health recommendations and maintenance alerts.
2. The system as claimed in claim 1, wherein the central processing unit of this innovation is the BeagleBone Processor Board, which handles data from the Swivel Head Milling Machine and performs edge computing functions necessary to produce AI-driven maintenance alerts and health recommendations in real time.
3. The system as claimed in claim 1, wherein the ADHRSHCNode's Neural Stick interface is utilized to support AI and machine learning operations, improving the system's capacity to interpret intricate data patterns from the Swivel Head Milling Machine and produce astute real-time maintenance recommendations.
4. The system as claimed in claim 1, wherein the BeagleBone Processor Board's External Hat Customized HMI Card, which is essentially an External Hat attached to the board, is used as a direct interface to the swivel head milling machine; and it gathers extensive data and facilitates smooth communication with the board, allowing for real-time monitoring and the display of AI-driven health recommendations and alerts for operators.
5. The system as claimed in claim 1, wherein the Swivel Head Milling Machine's AI-driven health recommendations and alerts are generated in real time, and operators can access them instantly through the HMI Display connected to the ADHRSHCNode; and this allows for timely and well-informed decision-making.
6. The system as claimed in claim 1, wherein the power Supply that is equipped with ADHRSHCNode, is used for essential energy source, ensuring continuous operation of the innovation by providing the needed power to all components, facilitating seamless data processing, and enabling immediate time AI-driven health recommendations along with alerts for the Swivel Head Milling Machine.
Documents
Name | Date |
---|---|
202411086961-COMPLETE SPECIFICATION [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-DECLARATION OF INVENTORSHIP (FORM 5) [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-DRAWINGS [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-EDUCATIONAL INSTITUTION(S) [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-EVIDENCE FOR REGISTRATION UNDER SSI [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-FORM 1 [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-FORM FOR SMALL ENTITY(FORM-28) [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-FORM-9 [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-POWER OF AUTHORITY [11-11-2024(online)].pdf | 11/11/2024 |
202411086961-REQUEST FOR EARLY PUBLICATION(FORM-9) [11-11-2024(online)].pdf | 11/11/2024 |
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