WIRELESS HEALTH MONITORING WITH NRF BASED EXTERNAL DEVICE FOR ELECTRONIC KNITTING MACHINE IN THE TEXTILE INDUSTRY

Abstract

Wireless Health Monitoring with nRF based External Device for Electronic Knitting Machine in the Textile Industry A Wireless Health Monitoring system designed for electronic knitting machines in the textile industry integrates a TWED_EKDMote equipped with an ATmega2560 Board, nRF Module, MEMS Vibration Sensor, Temperature Sensor, Current Sensor, Buzzer, and Power Supply to enable real-time data collection and wireless transmission to a cloud-based system for continuous monitoring. The RWED_EKDMote, featuring an ATmega2560 Board, nRF Module, HMI Display, NuttyFi Wifi Board, Indicator, and Power Supply, enhances connectivity and facilitates on-site visualization of health data. This system ensures efficient monitoring, proactive maintenance, and improved operational efficiency for textile industry machinery through seamless wireless communication and cloud-based analytics.

Specification

Description:FIELD OF THE INVENTION
This invention relates to a Wireless Health Monitoring with nRF based External Device for Electronic Knitting Machine in the Textile Industry
BACKGROUND OF THE INVENTION
Providing computerized knitting machines with optimal performance and health monitoring presents a big problem for the textile industry. The inefficiencies and lack of real-time capabilities of current monitoring systems often lead to maintenance problems and possible downtimes. Traditional methods of assessing machine health are labor-intensive, labor-intensive, and prone to human mistake.
MX2018005836A - This patent outlines a method for preparing tubular articles, such as socks, for automated pickup at the end of their formation on a double-cylinder circular knitting machine. The method involves a series of steps to control needle and sinker movements, ensuring precise tension and alignment of the article for pickup.
Research Gap: The innovation here is a wireless health monitoring solution based on nRF and IoT technology, specifically designed for electronic knitting machines in the textile industry.
CN102575391A - This invention describes a circular knitting machine for seamless clothing, featuring a vertical needle cylinder and a coaxial dial supported by a structured frame with angularly spaced posts. The dial can rotate and slide along its axis, facilitating the transfer of stitches between needles.
Research Gap: The novelty introduced here is a wireless health monitoring system using nRF and IoT technology, tailored for electronic knitting machines in the textile industry.
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.
Modern wireless health monitoring that seamlessly integrates sensors, wireless connection, and cloud-based analytics is made for electronic knitting machines in the textile sector. Its main purpose is to provide real-time information about the machinery's operational health. On-site workers can monitor the machine's condition thanks to the system's constant gathering and transfer of important data points including vibration, temperature, and current levels. Both a web dashboard and a local display can be used for this monitoring.
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.
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 TWED_EKDMote and the RWED_EKDMote are the two primary components of the Wireless Health Monitoring system with nRF-based External Devices for Electronic Knitting Machines in the Textile Industry. It functions according to a clearly defined procedure. Attached to the electronic knitting machine, the TWED_EKDMote serves as the transmitting device that is fitted with MEMS vibration, temperature, and current sensors, among other sensors. The ATmega2560 Board functions as the main controller to handle the sensor data, and these sensors are used to continuously check the machine's health metrics. By enabling wireless connection, the nRF Module sends the gathered data to the RWED_EKDMote. The transmitted data is received by the RWED_EKDMote, which has its own nRF Module. The ATmega2560 Board then processes the data..The electronic knitting machine's health parameters can be observed in real time by on-site operators thanks to the system's use of an HMI Display for local visibility.
Moreover, a NuttyFiWifi Board allows the gadget to establish a connection with the cloud infrastructure for further examination. The specially created Cloud Server, which safely stores data received from the devices, is the central component of the system. The server uses pre-programmed machine learning algorithms to interpret incoming data and produces a collection of trending data charts that provide insights into the health of the equipment. This is achieved by leveraging IoT-based cloud technologies. To find vital alerts, the cloud-based technology creates real-time data and compares it with other data. Following that, this data is shown on the industry premises' HMI Display as well as a customized web dashboard.
BEST METHOD OF WORKING
1. Using wireless communication to transmit data to the cloud, the TWED_EKDMote, which is outfitted with an ATmega2560 Board, nRF Module, MEMS Vibration Sensor, Temperature Sensor, Current Sensor, Buzzer, and Power Supply, is used to gather real-time data from sensors attached to electronic knitting machines. This allows for continuous machine health monitoring, which promotes proactive maintenance and increased operational efficiency in the textile industry.
2. To ensure thorough monitoring and prompt decision-making in the textile industry, the RWED_EKDMote, which is outfitted with an ATmega2560 Board, nRF Module, HMI Display, NuttyFiWifi Board, Indicator, and Power Supply, is utilized to receive wireless data from electronic knitting machines, process it locally for on-site visualization through an HMI Display.
3. The ATmega2560 Board, which is integrated into both of the motes, serves as the core controller and effectively processes data from a variety of sensors. It also facilitates wireless communication between the TWED_EKDMote and RWED_EKDMote and helps the entire wireless health monitoring system for electronic knitting machines in the textile industry to function flawlessly.
4. The nRF Module, which is also included in both motes, is utilized to ensure effective connectivity for remote monitoring and analytics in the textile industry, to facilitate real-time sensor data transmission, and to enable wireless communication between TWED_EKDMote and RWED_EKDMote.
5. The wireless health monitoring system for the textile industry uses the MEMS vibration, temperature, and current sensors-all of which are connected in TWED_EKDMote-to help with comprehensive data acquisition, real-time monitoring of the health parameters of electronic knitting machines, proactive maintenance, and improved operational efficiency.
6. Within the textile industry's wireless health monitoring system, the HMI Display, which is interfaced on RWED_EKDMote, is used to provide on-site operators with real-time visualizations of electronic knitting machine health data received from RWED_EKDMote, ensuring immediate and accessible insights for timely decision-making.
7. The RWED_EKDMote's integrated NuttyFiWifi Board is used to make it easier for RWED_EKDMote to connect to the cloud infrastructure, allowing for the smooth transmission of machine health data for remote monitoring and advanced analytics in the wireless health monitoring system for electronic knitting machines used in the textile industry.
ADVANTAGES OF THE INVENTION
1. The TWED_EKDMote, which gathers data in real time from sensors linked to electronic knitting machines, is a key component of this innovative technology. Continuous machine health monitoring is made possible by the wireless transfer of this data to the cloud. This facilitates the textile industry's ability to maintain preventative maintenance and run more efficiently.
2. A crucial component, the RWED_EKDMote collects wireless data from electronic knitting machines and processes it locally so that it may be instantly shown on an HMI Display. It also facilitates cloud connectivity for advanced analytics in the textile industry, ensuring meticulous observation and prompt decision-making.
3. A key component in allowing wireless communication between the TWED_EKDMote and RWED_EKDMote is the nRF Module. It makes it easier for sensor data to be transmitted in real time, guaranteeing effective connectivity for remote analytics and monitoring in the textile sector.
4. The temperature, current, and vibration sensors of MEMS work together to collect a wealth of data and monitor the health parameters of electronic knitting machines in real time. This makes the wireless health monitoring system used by the textile industry more efficient and allows for proactive maintenance.
5. The RWED_EKDMote and the cloud infrastructure are connected primarily through the NuttyFiWifi Board. With the help of this functionality, the wireless health monitoring system made specifically for electronic knitting machines in the textile industry can transmit machine health data seamlessly for remote monitoring and advanced analytics.
, Claims:1. A Wireless Health Monitoring with nRF based External Device for Electronic Knitting Machine in the Textile Industry, comprises a TWED_EKDMote (101) integrated with an ATmega2560 Board (102), nRF Module (103), MEMS Vibration Sensor (104), Temperature Sensor (105), Current Sensor (106), Buzzer (107), and Power Supply (108), facilitating real-time data collection and wireless transmission to a cloud-based system for continuous health monitoring and operational efficiency improvement in the textile industry.
2. The device, as claimed in Claim 1, wherein the RWED_EKDMote (201) is equipped with an ATmega2560 Board (202), nRF Module (203), HMI Display (204), NuttyFi Wifi Board (205), Indicator (206), and Power Supply (207), enabling on-site visualization of machine health data and seamless connectivity to a cloud infrastructure for advanced analytics.
3. The device, as claimed in Claim 1, wherein the ATmega2560 Board (102, 202) acts as the core controller, efficiently processing sensor data and facilitating wireless communication between TWED_EKDMote and RWED_EKDMote, ensuring flawless operation of the health monitoring system.
4. The device, as claimed in Claim 1, wherein the nRF Module (103, 203) enables real-time sensor data transmission and wireless communication between TWED_EKDMote and RWED_EKDMote, ensuring effective connectivity for remote monitoring and analytics in the textile industry.
5. The device, as claimed in Claim 1, wherein the MEMS Vibration Sensor (104), Temperature Sensor (105), and Current Sensor (106) integrated into TWED_EKDMote provide comprehensive data acquisition for real-time monitoring of electronic knitting machine health, enabling proactive maintenance and operational efficiency.
6. The device, as claimed in Claim 1, wherein the HMI Display (204) interfaced on RWED_EKDMote provides on-site operators with real-time visualizations of machine health data, ensuring accessible insights for immediate decision-making.
7. The device, as claimed in Claim 1, wherein the NuttyFi Wifi Board (205) integrated into RWED_EKDMote facilitates seamless cloud connectivity, enabling the transmission of machine health data for remote monitoring and advanced analytics in the textile industry.

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