VIBRATION BASED HEALTH MONITORING OF SPUNBOND NONWOVEN MACHINES WITHIN TEXTILE INDUSTRY THROUGH CLOUD TECHNOLOGY AND INNOVATION

Abstract

The goal of this innovative solution is to completely change how the textile industry monitors and maintains its spunbond nonwoven machines. By combining state-of-the-art sensor technology with cloud-based analytics, it reliably gathers and evaluates vibration data from the machines in real time. Predictive maintenance is made easier by the system's own cloud server, which uses established algorithms to process this data and find trends and inconsistencies. The results are then transmitted via an easy-to-use online dashboard and an on-site display, providing operators and decision-makers with real-time information about the health of the equipment.

Specification

Description:FIELD OF THE INVENTION
This invention relates to Vibration based Health Monitoring of Spunbond Nonwoven Machines within Textile Industry through Cloud Technology and Innovation
BACKGROUND OF THE INVENTION
The goal of this innovative solution is to completely change how the textile industry monitors and maintains its spunbond nonwoven machines. By combining state-of-the-art sensor technology with cloud-based analytics, it reliably gathers and evaluates vibration data from the machines in real time. Predictive maintenance is made easier by the system's own cloud server, which uses established algorithms to process this data and find trends and inconsistencies. The results are then transmitted via an easy-to-use online dashboard and an on-site display, providing operators and decision makers with real-time information about the health of the equipment.
The textile industry has a significant obstacle in effectively managing and maintaining the health of Spunbond Nonwoven Machines. As of right now, there is a conspicuous lack of all-inclusive real-time monitoring systems that are able to proactively detect and address possible issues related to machine vibrations. Lack of a specialized system causes operators to be unaware of the condition of the equipment, which increases the risk of unplanned downtime, increases maintenance costs, and reduces overall productivity.
US11491057B2 - Nonwoven webs/nonwoven laminates for use in absorbent articles are disclosed. The nonwoven laminate includes a first nonwoven web with continuous spunbond crimped fibers and a second web joined to the first nonwoven web. A plurality of apertures extend through at least one of the first nonwoven web or the second web. The nonwoven web includes a plurality of continuous spunbond crimped fibers wherein a plurality of apertures extend through the nonwoven web. Health Monitoring of Spunbond Nonwoven Machines with IoT and Cloud analytics and alert is the novelty of the system.
WO2017155912A1 - Nonwoven materials having discrete three-dimensional deformations therein forming protrusions that extend outward from the first surface of the nonwoven material and wide base openings adjacent to the second surface of the nonwoven material are disclosed. At least some of the three-dimensional deformations may have improved protrusion dimensions after compressive forces are applied on the nonwoven material. In some cases, at least some of the protrusions may have one or more holes therein or completely therethrough. Methods of making the same are also disclosed. Health Monitoring of Spunbond Nonwoven Machines with IoT and Cloud analytics and alert 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 innovation monitors and analyzes the vibration patterns of Spunbond Nonwoven Machines in the Textile Industry by combining a variety of hardware components with cutting-edge technologies. The STM32 Board and ESP32 Board serve as the central processing units of the system, coordinating the operations of the overall configuration. The vibration sensor that is connected to these boards is in charge of gathering data on the machine's vibrations in real time. An RTC (Real-Time Clock) Module is integrated into the system to guarantee accurate timekeeping and data synchronization. For local data storage, an SD Card Module is also used as a backup in case network connectivity problems arise. The local interface is the HMI (Human-Machine Interface) Display, which provides operators on-site with real-time vibration analytics insights and alarms. The invention makes use of cloud and IoT technologies to facilitate smooth data flow and communication. The vibration data that has been gathered is sent to a cloud server that has been specially built for this purpose.
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 innovation monitors and analyzes the vibration patterns of Spunbond Nonwoven Machines in the Textile Industry by combining a variety of hardware components with cutting-edge technologies. The STM32 Board and ESP32 Board serve as the central processing units of the system, coordinating the operations of the overall configuration. The vibration sensor that is connected to these boards is in charge of gathering data on the machine's vibrations in real time. An RTC (Real-Time Clock) Module is integrated into the system to guarantee accurate timekeeping and data synchronization. For local data storage, an SD Card Module is also used as a backup in case network connectivity problems arise. The local interface is the HMI (Human-Machine Interface) Display, which provides operators on-site with real-time vibration analytics insights and alarms. The invention makes use of cloud and IoT technologies to facilitate smooth data flow and communication. The vibration data that has been gathered is sent to a cloud server that has been specially built for this purpose.
Vibration analysis is used by a predetermined algorithm to process the data in the cloud and find patterns or abnormalities. Predicting possible problems and guaranteeing the general well-being of nonwoven machines depend on this investigation. The vibration analysis data are then sent to several interfaces, along with warnings. The HMI Display gives operators on-site instantaneous insights so they can act quickly. In addition, the data is presented in an approachable manner for remote monitoring and management via a customized online dashboard. In addition, email alerts are generated and forwarded to operators and other pertinent authorities, guaranteeing that accountable staff members are instantly notified of any serious problems or possible malfunctions in the machinery. Through the integration of these components, VHMS_NMTMote provides operators and decision-makers with relevant information in addition to facilitating real-time monitoring of Spunbond Nonwoven Machines.
BEST METHOD OF WORKING
A system for vibration-based health monitoring of Spunbond Nonwoven Machines within the textile industry, utilizing advanced sensor technology and cloud-based analytics, comprising an STM32 Board (H) for coordinating the operations of the system, an ESP32 Board (A) to enable seamless connectivity and communication, a vibration sensor for collecting real-time data on machine vibrations, an RTC Module (F) for accurate timekeeping and data synchronization, an SD Card Module (E) for local data storage as a backup, an HMI Display (B) for providing real-time insights and alarms to operators, and a customized cloud server for processing data, identifying patterns, and sending alerts for proactive maintenance.
The system for vibration-based health monitoring of Spunbond Nonwoven Machines within the textile industry utilizes advanced sensor technology and cloud-based analytics to enhance operational efficiency.
It includes an STM32 Board that coordinates the various components of the system, facilitating effective management.
The integration of an ESP32 Board allows for seamless connectivity and communication, enabling real-time data transmission to a customized cloud server.
A vibration sensor continuously monitors and collects real-time data on machine vibrations, which is essential for assessing machine health.
The system incorporates an RTC Module for accurate timekeeping and synchronization of data, ensuring reliable analysis.
Additionally, an SD Card Module is integrated to provide local data storage as a backup, safeguarding against data loss during network disruptions.
Operators benefit from an HMI Display that presents real-time insights and alarms, empowering them to respond quickly to any anomalies detected.
The cloud server processes the gathered data, identifies trends, and generates alerts to facilitate proactive maintenance, ultimately reducing downtime.
An alert mechanism is also in place to notify operators and decision-makers via email or through the HMI Display when potential issues are detected, allowing for timely intervention.
The use of cloud-based analytics, supported by established algorithms, aids in identifying trends and anomalies within the vibration data, enhancing predictive maintenance capabilities.
Furthermore, the system features an online dashboard for remote monitoring and management of the Spunbond Nonwoven Machines, providing comprehensive insights into their operational health.
ADVANTAGES OF THE INVENTION
1. The VHMS_NMTMote offers a cutting-edge solution for the textile sector by employing real-time monitoring, cloud-based analytics, and sophisticated sensor technology to proactively detect and notify possible problems in Spunbond Nonwoven Machines. This guarantees peak performance, reduces downtime, and makes predictive maintenance plans easier to put into practice.
2. The STM32 Board, which serves as the VHMS_NMTMote system's central processing unit, coordinates the operations of several parts, such as the vibration sensor, RTC module, and SD card module. Real-time data processing, analysis, and transmission are made possible by this coordination, which helps the textile industry's Spunbond Nonwoven Machines be effectively monitored for health issues.
3. The real-time data collection from Spunbond Nonwoven Machines is made possible by the Vibration Sensor built into VHMS_NMTMote, which is vital. In the end, this ongoing vibration analysis and monitoring aids in the detection of trends and abnormalities, which supports predictive maintenance and the general health management of textile sector gear.
4. The SD Card Module offers local storage capabilities in VHMS_NMTMote, while the RTC Module guarantees precise timekeeping for synchronized data processing. This makes backup data storage dependable and improves the textile industry's ability to monitor real-time vibration data from Spunbond Nonwoven Machines.
5. The HMI Display in VHMS_NMTMote functions as the on-site interface and provides real-time insights into vibration data and alarms. This provides instantaneous information to operators, enabling them to make proactive decisions and efficiently manage Spunbond Nonwoven Machines in the textile sector.
, Claims:1. A system for vibration-based health monitoring of Spunbond Nonwoven Machines within the textile industry, utilizing advanced sensor technology and cloud-based analytics, comprising an STM32 Board (H) for coordinating the operations of the system, an ESP32 Board (A) to enable seamless connectivity and communication, a vibration sensor for collecting real-time data on machine vibrations, an RTC Module (F) for accurate timekeeping and data synchronization, an SD Card Module (E) for local data storage as a backup, an HMI Display (B) for providing real-time insights and alarms to operators, and a customized cloud server for processing data, identifying patterns, and sending alerts for proactive maintenance.
2. The system, as claimed in Claim 1, wherein the vibration sensor continuously monitors vibration patterns and transmits data to the cloud server for analysis.
3. The system, as claimed in Claim 1, wherein the RTC Module (F) synchronizes the time of data collection, ensuring accurate historical records for trend analysis.
4. The system, as claimed in Claim 1, further comprising an alert mechanism that notifies operators and decision-makers via email or through the HMI Display (B) upon detection of potential issues.
5. The system, as claimed in Claim 1, wherein the SD Card Module (E) serves as a backup for data storage during network connectivity issues, ensuring continuous monitoring.
6. The system, as claimed in Claim 1, wherein the cloud-based analytics utilizes established algorithms to identify trends and anomalies in the collected vibration data, facilitating predictive maintenance.
7. The system, as claimed in Claim 1, further comprising an online dashboard for remote monitoring and management of the Spunbond Nonwoven Machines, providing operators with comprehensive insights into machine health.

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