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CLOUD BASED FFT ANALYSIS AND VIBRATION MONITORING OF CARDBOARD SHREDDER WITHIN PAPER INDUSTRY
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Abstract
Information
Inventors
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Specification
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ORDINARY APPLICATION
Published
Filed on 16 November 2024
Abstract
A system of cloud based fft analysis and vibration monitoring of cardboard shredder within paper industry comprises CBFFTCMNode (100), which is outfitted with an STM32 Board (107), GSM Modem. (101), MEMS Vibration Sensor (104), Temperature Sensor (105), TFT Display (106), Buzzer (102), and Power Supply (103) this allows for advanced FFT analysis and instant insights and alerts through an email notification system and customized web dashboard the STM32 Board, which is integrated into the CBFFTCMNode, is utilized to make it easier to gather and process real-time sensor data from the cardboard shredder, this helps to ensure that FFT analysis runs smoothly and provides quick insights and alerts for effective system monitoring and maintenance.
Patent Information
Application ID | 202411088647 |
Invention Field | PHYSICS |
Date of Application | 16/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
DR. REKHA | 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 |
SANJAY SOOD | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. SUNAINA AHUJA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. SORABH LAKHANPAL | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. (AR.) ATUL KUMAR SINGLA | 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 cloud based fft analysis and vibration monitoring of cardboard shredder within paper industry.
BACKGROUND OF THE INVENTION
This innovative device offers an essential way to monitor and improve the performance of cardboard shredders in the paper sector. The system uses sensors to continuously collect temperature and vibration data. Then, it uses machine learning algorithms and cutting-edge cloud-based technology to do real-time FFT analysis. This analysis allows for the identification of anomalous patterns and any issues with the machinery, providing operators with instant alerts through email notifications and an easy-to-use web dashboard.
The paper sector faces a major issue in effectively monitoring and maintaining cardboard shredders, which are essential parts of the production process. Nowadays, popular monitoring solutions sometimes don't have real-time functionality and thorough analysis, which leads to unplanned downtime and maintenance issues.
CN217856561U: The utility model discloses an automatic paper feeding shredder with a paper cleaning structure, which comprises a casing body, wherein the casing body is provided with an upper cover; a fixed seat is arranged in the upper port of the shell, a cutter group component is arranged below the front end of the fixed seat, and an automatic paper feeding mechanism is arranged on the fixed seat; the automatic paper feeding mechanism comprises a paper supporting plate arranged on the fixed seat and a paper twisting wheel erected on the fixed seat; the top surface of the upper cover is provided with a manual paper inlet suitable for placing single paper to be crushed and a paperboard cleaning window convenient for cleaning during paperboard clamping, and the hinge of the flip cover in the paperboard cleaning window is provided with an automatic paper feeding guide plate suitable for being placed in a stack of paper to be crushed in batches; the lower part of the automatic paper feeding guide plate is opposite to the paper feeding end of the paper supporting plate; the hinge in the upper cover is provided with a paper cleaning turning plate component used for protecting the automatic paper feeding mechanism of the safety cover, and the paper cleaning turning plate component can be manually turned upwards by taking a hinge point as a rotating shaft to vacate a cleaning space when the automatic paper feeding mechanism is jammed. The utility model relates to a rationally, the security is high to clear paper is simple and convenient.
RESEARCH GAP: Wireless FFT analysis and Vibration Monitoring of Cardboard Shredder with IoT is the novelty of the system.
CN110813465A: The invention discloses a paper shredding device, and particularly relates to the technical field of paper shredding, comprising a shredding box, wherein a paper shredding mechanism is arranged in the shredding box; the paper shredding mechanism comprises a motor, the motor output end is provided with a rotating shaft, the rotating shaft is fixedly connected with the motor output end, a plurality of blades are arranged on the outer side of the rotating shaft and are fixedly connected with the rotating shaft, a feeding hopper is arranged on the outer side of each blade, a first paper blocking plate is arranged on one side wall inside the feeding hopper, the first paper blocking plate is fixedly connected with the feeding hopper, a second paper blocking plate is arranged on the other side wall inside the feeding hopper, and the second paper blocking plate is fixedly connected with the other side wall inside the feeding hopper. According to the paper shredder, the plurality of blades are driven by the motor to shred paper, then the first paper blocking plate and the second paper blocking plate block the shredded paper, the paper is prevented from scattering outside the shredding box, the internal structure is simple, and the shredding effect is good.
RESEARCH GAP: Wireless FFT analysis and Vibration Monitoring of Cardboard Shredder with IoT 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.
This cutting-edge technology creates a reliable monitoring and analysis solution for cardboard shredders in the paper sector by combining hardware, cloud-based technologies, and machine learning. The CBFFTCMNode is the central component of the design, which consists of a network of integrated hardware elements. With the STM32 Board, GSM Modem, MEMS Vibration Sensor, Temperature Sensor, TFT Display, Buzzer, and Power Supply among its many sensors, this node serves as the main hub for data processing and collecting in the cardboard shredder system.
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.
This cutting-edge technology creates a reliable monitoring and analysis solution for cardboard shredders in the paper sector by combining hardware, cloud-based technologies, and machine learning. The CBFFTCMNode is the central component of the design, which consists of a network of integrated hardware elements. With the STM32 Board, GSM Modem, MEMS Vibration Sensor, Temperature Sensor, TFT Display, Buzzer, and Power Supply among its many sensors, this node serves as the main hub for data processing and collecting in the cardboard shredder system.
The MEMS Vibration Sensor and Temperature Sensor on the CBFFTCMNode start the operation by continually gathering data from the cardboard shredder in real time. The gathered sensor data is subsequently sent, via the GSM Modem, to a specific cloud server created for this innovation. The system's core is its cloud-based infrastructure, which makes it easier to store and analyze sensor data. FFT analysis is performed on the vibration data by a specified Machine Learning (ML) algorithm in the cloud. This process extracts useful information about the machinery's performance, finds trends, and flags possible problems.
The ML algorithm is specifically made to identify anomalous temperature changes and vibrations that could point to upcoming problems or maintenance needs. Multiple channels are used to communicate the FFT analysis results, time-based trends, and crucial alarms produced by the ML algorithm. The CBFFTCMNode's TFT Display offers operators a customized interface for tracking data in real time and getting prompt feedback on the cardboard shredder's state. In addition, a personalized web dashboard provides an all-inclusive and easily navigable platform for remote surveillance, allowing operators to access and see analytics from any place.
Critical warnings are delivered via email in addition to being shown locally to improve system responsiveness. This guarantees that operators are notified as soon as possible about possible problems and enables them to take immediate action to resolve them. A more thorough examination of historical data is made possible by the intuitive web dashboard, which gives operators the ability to decide on maintenance plans and performance optimization.
BEST METHOD OF WORKING
Real-time vibration and temperature data from cardboard shredders are collected by the CBFFTCMNode, which is outfitted with an STM32 Board, GSM Modem, MEMS Vibration Sensor, Temperature Sensor, TFT Display, Buzzer, and Power Supply. This allows for advanced FFT analysis and instant insights and alerts through an email notification system and customized web dashboard.
The STM32 Board, which is integrated into the CBFFTCMNode, is utilized to make it easier to gather and process real-time sensor data from the cardboard shredder. This helps to ensure that FFT analysis runs smoothly and provides quick insights and alerts for effective system monitoring and maintenance.
The built-in GSM modem in the CBFFTCMNode facilitates smooth communication between the device and the customized cloud server, guaranteeing effective transmission of temperature and vibration data in real time from the cardboard shredder for thorough FFT analysis. This enables prompt insights and alerts via an email notification system and web dashboard.
The MEMS Vibration Sensor integrated into CBFFTCMNode is used to record vibration data in real time from the paper industry's cardboard shredder. This allows for precise FFT analysis and makes it easier to generate quick insights and alerts for efficient monitoring and maintenance via the integrated system.
The localized and user-friendly interface of the TFT Display, which is interfaced on the CBFFTCMNode, allows operators to monitor the cardboard shredder's performance on-site and make informed decisions for maintenance and optimization within the paper industry. It provides real-time visualization of FFT analysis results, trending data charts, and critical alerts.
The Power Supply, which is a plugin for the CBFFTCMNode, is used to make sure that the CBFFTCMNode runs consistently and dependably. It does this by supplying effective electrical energy, enabling the real-time sensor data from the cardboard shredder to be collected and transmitted, and enabling continuous FFT analysis for effective maintenance and monitoring in the paper industry.
ADVANTAGES OF THE INVENTION
1. This innovation's main hardware hub, the CBFFTCMNode, seamlessly integrates sensors, a GSM modem, and a TFT display to record temperature and vibration data in real time from cardboard shredders. Advanced FFT analysis is made possible by this integration, which also offers instant insights and alerts via email notifications and a personalized web dashboard.
2. The GSM Modem plays a crucial function in enabling smooth connection between the CBFFTCMNode and the cloud server that is specifically designated for it. By doing this, the cardboard shredder's vibration and temperature data are efficiently transmitted, enabling thorough FFT analysis as well as prompt insights and alarms via an email dashboard and web dashboard.
3. An essential part that gathers vibration data in real time from the cardboard shredder in the paper sector is the MEMS Vibration Sensor. This makes it possible to perform precise FFT analysis, which produces instantaneous insights and alarms for efficient system monitoring and maintenance.
4. The CBFFTCMNode's TFT Display has a user-friendly interface that is localized and presents trending data charts, crucial alerts, and real-time visualization of FFT analysis findings. With the help of this capability, operators may keep an eye on the cardboard shredder's performance right at the location and decide on maintenance and optimization strategies for the paper sector.
, Claims:1. A system of cloud based fft analysis and vibration monitoring of cardboard shredder within paper industry comprises CBFFTCMNode (100), which is outfitted with an STM32 Board (107), GSM Modem. (101), MEMS Vibration Sensor (104), Temperature Sensor (105), TFT Display (106), Buzzer (102), and Power Supply (103) this allows for advanced FFT analysis and instant insights and alerts through an email notification system and customized web dashboard.
2. The system as claimed in claim 1, wherein the STM32 Board, which is integrated into the CBFFTCMNode, is utilized to make it easier to gather and process real-time sensor data from the cardboard shredder, this helps to ensure that FFT analysis runs smoothly and provides quick insights and alerts for effective system monitoring and maintenance.
3. The system as claimed in claim 1, wherein the built-in GSM modem in the CBFFTCMNode facilitates smooth communication between the device and the customized cloud server, guaranteeing effective transmission of temperature and vibration data in real time from the cardboard shredder for thorough FFT analysis, this enables prompt insights and alerts via an email notification system and web dashboard.
4. The system as claimed in claim 1, wherein the MEMS Vibration Sensor integrated into CBFFTCMNode is used to record vibration data in real time from the paper industry's cardboard shredder, this allows for precise FFT analysis and makes it easier to generate quick insights and alerts for efficient monitoring and maintenance via the integrated system.
5. The system as claimed in claim 1, wherein the localized and user-friendly interface of the TFT Display, which is interfaced on the CBFFTCMNode, allows operators to monitor the cardboard shredder's performance on-site and make informed decisions for maintenance and optimization within the paper industry, it provides real-time visualization of FFT analysis results, trending data charts, and critical alerts.
6. The system as claimed in claim 1, wherein the Power Supply, which is a plugin for the CBFFTCMNode, is used to make sure that the CBFFTCMNode runs consistently and dependably, it does this by supplying effective electrical energy, enabling the real-time sensor data from the cardboard shredder to be collected and transmitted, and enabling continuous FFT analysis for effective maintenance and monitoring in the paper industry.
Documents
Name | Date |
---|---|
202411088647-COMPLETE SPECIFICATION [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-DECLARATION OF INVENTORSHIP (FORM 5) [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-DRAWINGS [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-EDUCATIONAL INSTITUTION(S) [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-EVIDENCE FOR REGISTRATION UNDER SSI [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-FORM 1 [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-FORM FOR SMALL ENTITY(FORM-28) [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-FORM-9 [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-POWER OF AUTHORITY [16-11-2024(online)].pdf | 16/11/2024 |
202411088647-REQUEST FOR EARLY PUBLICATION(FORM-9) [16-11-2024(online)].pdf | 16/11/2024 |
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