ADDON IOT DEVICE WITH DFT VIBRATION ANALYSIS FOR ELECTRONIC KNITTING MACHINE WITHIN TEXTILE INDUSTRY

Abstract

An addon iot device with dft vibration analysis for electronic knitting machine within textile industry comprises AITD_DFTVAMote (100) is used to enable real-time DFT Vibration Analysis in electronic knitting machines within the textile industry, wireless communication, and cloud-based analytics, ultimately improving operational reliability and facilitating predictive maintenance, it is equipped with an STM32 Board (1000), an ESP01 Wifi Module (200), a GSM Module (300), a 3 Axis MEMS Vibration Sensor (800), a TFT Display (900), an RTC Module (700), an SD Card Module (600), an indicator (400), and a power supply (500) this innovation's STM32 Board serves as the innovation's central processing unit, coordinating the smooth integration of diverse hardware components and promoting module-to-module communication, this allows the AITD_DFTVAMote for real-time DFT Vibration Analysis in electronic knitting machines used in the textile industry to function efficiently.

Specification

Description:FIELD OF THE INVENTION
This invention relates to addon iot device with dft vibration analysis for electronic knitting machine within textile industry.
BACKGROUND OF THE INVENTION
With the advent of an innovative technology for real-time DFT Vibration Analysis in electronic knitting machines, this ground-breaking solution completely changes the textile sector. The system seamlessly integrates wireless communication modules, cloud-based machine learning algorithms, and state-of-the-art sensors to do this. The machines' vibration patterns may be continuously observed thanks to this interconnection. In-depth analyses of the collected data result in comprehensive reports with trending charts and important notifications.
One of the biggest challenges facing the textile industry is effectively monitoring and maintaining the health of electronic knitting machines. Traditional approaches often fail to deliver real-time information on the machine's operating state, which leads to unplanned malfunctions, increased downtime, and ultimately lower productivity. Proactive maintenance is necessary to prevent operational expenses from rising and to protect industry productivity.
KR20080003234A: A sock knitting machine is provided to knit both sides of a pair of socks equally using a single knitting machine and facilitate the switch between left knitting and right knitting, by improving the structure of the sock knitting machine. A picker for a rear needle bed and a picker for a front needle bed are installed to knit heel portions of socks by the rear needle bed and the front needle bed. Yarn feeders for plating yarn are used with the pickers while the yarn feeders are switched each other for left and right. A fixing looper for holding an end of a planting yarn is installed independently of a fixing looper for another knitting yarn, so as to stop one unused fixing looper and hold the end of the plating yarn. A cutter is commonly used with respect to both of the fixing loopers, when the knitting yarn extended from a knitted cloth to a yarn feeding port of the yarn feeder is captured.
RESEARCH GAP: Wireless Monitoring and analyzing solution for DFT methodology for Vibration monitoring for Electronic Knitting Machine within Textile Industry is the novelty of the system.
US10329697B2: A circular hosiery knitting machine, particularly of the double cylinder type, with yarn finger for plated knitting, comprising at least one needle cylinder and a first yarn finger for dispensing a base yarn and a second yarn finger for dispensing a reinforcement yarn; the dispensing end of the body of the second yarn finger can move on command with respect to the remaining part of the body of the second yarn finger, on a plane that is substantially perpendicular to the axis of the needle cylinder, along a direction that is substantially parallel to the tangent to the needle cylinder in the grip point, by needles, of a reinforcement yarn dispensed by the second yarn finger.
RESEARCH GAP: Wireless Monitoring and analyzing solution for DFT methodology for Vibration monitoring for Electronic Knitting Machine within Textile Industry 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 AITD_DFTVAMote invention performs DFT vibration analysis in electronic knitting machines used in the textile industry by combining various hardware components and cutting-edge technology. Fundamentally, the STM32 Board functions as the system's central processing unit, coordinating its operation. This microcontroller makes it easier for various modules to communicate with one another, guaranteeing a smooth and coordinated operation. The knitting machine's 3 Axis MEMS Vibration Sensor, which records precise vibration data and offers vital information about the machine's operating condition, is the sensory component of the invention. The Tailored Cloud Server is able to communicate wirelessly with the ESP01 WiFi Module thanks to the transmission of the gathered data. The GSM Module acts as a backup data transfer method when WiFi coverage is restricted, guaranteeing accessible even in remote locations.
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 AITD_DFTVAMote invention performs DFT vibration analysis in electronic knitting machines used in the textile industry by combining various hardware components and cutting-edge technology. Fundamentally, the STM32 Board functions as the system's central processing unit, coordinating its operation. This microcontroller makes it easier for various modules to communicate with one another, guaranteeing a smooth and coordinated operation. The knitting machine's 3 Axis MEMS Vibration Sensor, which records precise vibration data and offers vital information about the machine's operating condition, is the sensory component of the invention. The Tailored Cloud Server is able to communicate wirelessly with the ESP01 WiFi Module thanks to the transmission of the gathered data. The GSM Module acts as a backup data transfer method when WiFi coverage is restricted, guaranteeing accessible even in remote locations.
When the data reaches the cloud server, it is analyzed by a specific machine learning algorithm that produces detailed reports with comparisons with predefined critical warnings, trending data charts, and live updates. After that, the AITD_DFTVAMote receives the results, which are then shown on the TFT Display. This local display provides operators on-site with real-time monitoring and acts as a convenient point of reference for evaluating the machine's condition. Concurrently, the invention offers remote accessible via a customized web dashboard housed inside the business premises. Enabling efficient monitoring regardless of location, operators may safely log in to their accounts, examine the vibration data from the machine, and make well-informed decisions.
BEST METHOD OF WORKING
The AITD_DFTVAMote is used to enable real-time DFT Vibration Analysis in electronic knitting machines within the textile industry, wireless communication, and cloud-based analytics, ultimately improving operational reliability and facilitating predictive maintenance. It is equipped with an STM32 Board, an ESP01 Wifi Module, a GSM Module, a 3 Axis MEMS Vibration Sensor, a TFT Display, an RTC Module, an SD Card Module, an indicator, and a power supply.
This innovation's STM32 Board serves as the innovation's central processing unit, coordinating the smooth integration of diverse hardware components and promoting module-to-module communication. This allows the AITD_DFTVAMote for real-time DFT Vibration Analysis in electronic knitting machines used in the textile industry to function efficiently.
The AITD_DFTVAMote's integrated ESP01 WiFi Module is used to enable wireless communication and smooth data transfer from the 3 Axis MEMS Vibration Sensor to the Tailored Cloud Server, guaranteeing real-time DFT Vibration Analysis in textile industry electronic knitting machines.
The AITD_DFTVAMote's integrated GSM Module is used to offer a backup communication option in places with spotty or nonexistent WiFi coverage. This guarantees constant data transfer from the 3 Axis MEMS Vibration Sensor to the Tailored Cloud Server, supporting DFT vibration analysis in real time for electronic knitting machines used in the textile industry.
The AITD_DFTVAMote invention uses a 3 Axis MEMS Vibration Sensor that is immediately attached to collect detailed vibration data from electronic knitting machines. This allows for real-time monitoring and makes DFT Vibration Analysis easier for the textile sector.
Using the AITD_DFTVAMote, the TFT Display interface is used to graphically exhibit real-time data, trending charts, and vital warnings locally. This gives quick access to DFT Vibration Analysis insights for electronic knitting machines in the textile industry.
ADVANTAGES OF THE INVENTION
1. This breakthrough relies heavily on the AITD_DFTVAMote, which makes it possible for electronic knitting machines used in the textile sector to perform real-time DFT vibration analysis. This is achieved by means of an efficient integration of cloud-based analytics, wireless connection, and modern sensors, which in turn improves operational reliability and facilitates predictive maintenance.
2. The 3 Axis MEMS Vibration Sensor's data transfer to the Tailored Cloud Server is made possible by wireless communication, which is made possible in large part by the ESP01 WiFi Module. In the textile industry, this feature guarantees real-time DFT Vibration Analysis in electronic knitting machines.
3. In places where there is little to no WiFi access, the GSM Module offers an alternate form of communication. It guarantees uninterrupted data delivery from the Tailored Cloud Server to the 3 Axis MEMS Vibration Sensor, providing DFT Vibration Analysis in real-time for electronic knitting machines used in the textile sector.
4. To obtain precise vibration data from electronic knitting machines, the 3 Axis MEMS Vibration Sensor is essential. With the AITD_DFTVAMote breakthrough, this feature allows for real-time monitoring and makes DFT Vibration Analysis easier in the textile sector.
5. By graphically displaying real-time statistics, trending charts, and important local warnings, the TFT Display acts as an essential interface. Through the AITD_DFTVAMote, it offers instant insights into DFT Vibration Analysis for electronic knitting machines used in the textile sector.
, Claims:1. An addon iot device with dft vibration analysis for electronic knitting machine within textile industry comprises AITD_DFTVAMote (100) is used to enable real-time DFT Vibration Analysis in electronic knitting machines within the textile industry, wireless communication, and cloud-based analytics, ultimately improving operational reliability and facilitating predictive maintenance, it is equipped with an STM32 Board (1000), an ESP01 Wifi Module (200), a GSM Module (300), a 3 Axis MEMS Vibration Sensor (800), a TFT Display (900), an RTC Module (700), an SD Card Module (600), an indicator (400), and a power supply (500).
2. The device as claimed in claim 1, wherein this innovation's STM32 Board serves as the innovation's central processing unit, coordinating the smooth integration of diverse hardware components and promoting module-to-module communication, this allows the AITD_DFTVAMote for real-time DFT Vibration Analysis in electronic knitting machines used in the textile industry to function efficiently.
3. The device as claimed in claim 1, wherein the AITD_DFTVAMote's integrated ESP01 WiFi Module is used to enable wireless communication and smooth data transfer from the 3 Axis MEMS Vibration Sensor to the Tailored Cloud Server, guaranteeing real-time DFT Vibration Analysis in textile industry electronic knitting machines.
4. The device as claimed in claim 1, wherein the AITD_DFTVAMote's integrated GSM Module is used to offer a backup communication option in places with spotty or nonexistent WiFi coverage, this guarantees constant data transfer from the 3 Axis MEMS Vibration Sensor to the Tailored Cloud Server, supporting DFT vibration analysis in real time for electronic knitting machines used in the textile industry.
5. The device as claimed in claim 1, wherein the AITD_DFTVAMote invention uses a 3 Axis MEMS Vibration Sensor that is immediately attached to collect detailed vibration data from electronic knitting machines, this allows for real-time monitoring and makes DFT Vibration Analysis easier for the textile sector.
6. The device as claimed in claim 1, wherein using the AITD_DFTVAMote, the TFT Display interface is used to graphically exhibit real-time data, trending charts, and vital warnings locally. This gives quick access to DFT Vibration Analysis insights for electronic knitting machines in the textile industry.

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