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AN IOT-INTEGRATED ONLINE SOLUTION FOR CONDITION MONITORING OF TENSILE TESTING MACHINE USED TO MEASURE THE TENSILE STRENGTH AND ELONGATION OF FABRICS AND YARNS

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AN IOT-INTEGRATED ONLINE SOLUTION FOR CONDITION MONITORING OF TENSILE TESTING MACHINE USED TO MEASURE THE TENSILE STRENGTH AND ELONGATION OF FABRICS AND YARNS

Published

date

Filed on 16 November 2024

Abstract

An iot-integrated online system for condition monitoring of tensile testing machine used to measure the tensile strength and elongation of fabrics and yarnsm comprises OSCM_EFYTMote (11A), which is outfitted with a Raspberry Pi Processor Board (11G), CC3000 RF Module (11B), Vibration Sensor (11F), DHT Sensor (11C), Pressure Sensor (11E), and power supply (11D), it uses sophisticated sensors and RF technology to enable real-time monitoring and condition assessment of tensile testing machines, guaranteeing precise measurement of the tensile strength and elongation of fabrics and yarns in the textile industry by incorporating RF and GSM communication technologies, the OSCM_EFYCMote which is outfitted with a Raspberry Pi Processor Board, CC3000 RF Module, GSM Modem, and Power Supply plays a critical role in enabling seamless data transmission and remote monitoring of tensile testing machines, ultimately improving the overall effectiveness and accessibility of the condition monitoring system in the textile industry.

Patent Information

Application ID202411088638
Invention FieldPHYSICS
Date of Application16/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
DR. NEETA RAJ SHARMALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
DR. SHAILESH KUMAR SINGHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
TARA SINGLALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
DR. SURESH MANILOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
DR. NITIN BHARDWAJLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
DR. SANJAY MODILOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia

Specification

Description:FIELD OF THE INVENTION
This invention relates to an iot-integrated online solution for condition monitoring of tensile testing machine used to measure the tensile strength and elongation of fabrics and yarns.
BACKGROUND OF THE INVENTION
This creative approach makes it easier to monitor and evaluate the status of tensile testing equipment in real time, which are used in the textile sector to determine the elongation and tensile strength of yarns and fabrics. During testing, the system uses sophisticated sensors to record important information including temperature, pressure, and vibration. Operators can access a customized web dashboard for detailed insights into the health and performance of the testing machines. The collected information is supplied both locally and remotely through seamless communication capabilities. This technology ensures the quality and dependability of test results, which not only expedites the monitoring process but also permits proactive maintenance, reducing downtime and increasing overall efficiency in textile manufacturing.
The effective and trustworthy monitoring of tensile testing equipment, which determines the tensile strength and elongation of fabrics and yarns, is a significant challenge for the textile industry. Lack of a thorough and up-to-date condition monitoring system leaves these devices with little operational health information, which can result in problems including undetected anomalies, equipment failures, and decreased testing accuracy. The industry's capacity to guarantee optimal machine performance is hampered by the frequent lack of advanced sensor and communication technology integration in existing monitoring systems.
CN108225694A: The present invention relates to a kind of elasticity thing elastic property measuring method, device, medium and computer equipments. Elasticity thing elastic property measuring method includes: The stress of elasticity thing and corresponding strain during acquiring to elasticity thing progress tensile strength test; Regression analysis is carried out using stress and corresponding strain, obtains stress-strain relation equation; The elastic assessed value of elasticity thing is calculated according to stress-strain relation equation and the stress section of correspondence elasticity thing to prestore. Elastic assessed value can be used for the elastic property of characterization elasticity thing, so can easily weigh elastic property, realize the measurement to elasticity thing elastic property. So as to control the foundation for providing and quality evaluation and monitoring being carried out according to elastic property for the quality of production of elasticity thing, push the progress of elasticity thing quality of production control aspect.
RESEARCH GAP: IoT-Integrated Online Solution for Condition Monitoring of Tensile Testing Machine is the novelty of the system.
CN109932243A: The present invention relates to a kind of multifunctional intelligent fibre bundle tensile tester and its measurement methods and purposes. The intelligence beam intensity instrument includes clamp force measuring machine, Dong Jia mobile mechanism, carding mechanism, cutting mechanism, pneumatic mechanism, electroacoustic measurement apparatus, CCD imaging system, weighing mechanism. Measurement method using the beam intensity instrument is to measure its drawing force by clamp force measuring machine, measures its displacement by Dong Jia mobile mechanism; The fracture pulse sound spectral curve issued by each fiber that electroacoustic measurement apparatus measures its stretch breaking process; Its fracture process and final bundle fiber head spectrum picture are observed by CCD imaging system; By cutting post-rift two section fibres beam weighing respectively to cutting mechanism, the stress-strain curves of the bundle fiber can be obtained; And thus provide each index of tensile property. The present invention is that quick one kind, accurate, automation, the combined in-situ measurement method of multi objective and intelligent beam intensity instrument, the mechanical property that can be used for textile fabric measure, it can also be used to the tensile property measurement of yarn, fabric and high polymer.
RESEARCH GAP: IoT-Integrated Online Solution for Condition Monitoring of Tensile Testing 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 two necessary parts of this are OSCM_EFYTMote and OSCM_EFYCMote. The Raspberry Pi Processor Board, CC3000 RF Module, Vibration Sensor, DHT Sensor, Pressure Sensor, and Power Supply are all included with OSCM_EFYTMote. This apparatus is intended to be integrated with tensile testing equipment, which is used to gauge the elongation and tensile strength of yarns and fabrics. The DHT Sensor tracks the outside temperature and humidity, the Vibration Sensor detects unusual vibrations during testing, and the Pressure Sensor offers extra information pertinent to the testing environment. In contrast, OSCM_EFYCMote makes use of a GSM modem, CC3000 RF Module, Raspberry Pi Processor Board, and Power Supply. This gadget places a strong emphasis on communication capabilities, transferring data effectively via a GSM modem and RF technologies. This suggests that in addition to having the ability to send data remotely using GSM technology, it can also connect over a local radio frequency network, offering flexibility and facilitating remote monitoring.
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 two necessary parts of this are OSCM_EFYTMote and OSCM_EFYCMote. The Raspberry Pi Processor Board, CC3000 RF Module, Vibration Sensor, DHT Sensor, Pressure Sensor, and Power Supply are all included with OSCM_EFYTMote. This apparatus is intended to be integrated with tensile testing equipment, which is used to gauge the elongation and tensile strength of yarns and fabrics. The DHT Sensor tracks the outside temperature and humidity, the Vibration Sensor detects unusual vibrations during testing, and the Pressure Sensor offers extra information pertinent to the testing environment. In contrast, OSCM_EFYCMote makes use of a GSM modem, CC3000 RF Module, Raspberry Pi Processor Board, and Power Supply. This gadget places a strong emphasis on communication capabilities, transferring data effectively via a GSM modem and RF technologies. This suggests that in addition to having the ability to send data remotely using GSM technology, it can also connect over a local radio frequency network, offering flexibility and facilitating remote monitoring.
The OSCM_EFYTMote and OSCM_EFYCMote gather data in real time from the tensile testing machines as part of the overall system functioning. The gathered data is subsequently sent to a centralized system via the RF network and/or GSM network, along with vibration, temperature, and pressure readings. A personalized web dashboard provides operators with access to and monitoring of this data, providing a thorough picture of the state and functionality of the tensile testing apparatus. This creative method has several benefits, such as real-time data processing, remote monitoring, and early identification of possible problems with the testing apparatus. This system improves the tensile testing process's efficiency and dependability in the textile sector by integrating IoT technology, which eventually helps to improve manufacturing processes and product quality.
BEST METHOD OF WORKING
A key element of this innovation is the OSCM_EFYTMote, which is outfitted with a Raspberry Pi Processor Board, CC3000 RF Module, Vibration Sensor, DHT Sensor, Pressure Sensor, and power supply. It uses sophisticated sensors and RF technology to enable real-time monitoring and condition assessment of tensile testing machines, guaranteeing precise measurement of the tensile strength and elongation of fabrics and yarns in the textile industry.
By incorporating RF and GSM communication technologies, the OSCM_EFYCMote-which is outfitted with a Raspberry Pi Processor Board, CC3000 RF Module, GSM Modem, and Power Supply-plays a critical role in enabling seamless data transmission and remote monitoring of tensile testing machines, ultimately improving the overall effectiveness and accessibility of the condition monitoring system in the textile industry.
The OSCM_EFYTMote and OSCM_EFYCMote are integrated with the Raspberry Pi Processor Board, which acts as the main computing hub in both mote to enable data processing, communication, and coordination of different sensors to support effective management and real-time monitoring of tensile testing machines in the textile industry.
The CC3000 RF Module is integrated with OSCM_EFYTMote, and OSCM_EFYCMote plays an essential role in real-time monitoring and effective condition assessment of tensile testing machines in the textile industry. It does this by offering dependable wireless communication capabilities, facilitating data transfer and networking between OSCM_EFYTMote and OSCM_EFYCMote.
The GSM modem's integration with OSCM_EFYCMote allows for remote communication, which improves the condition monitoring system's accessibility and flexibility by enabling effective data transmission and remote monitoring of tensile testing machines in the textile industry.
The Power Supply plug, which is inserted into both the OSCM_EFYTMote and the OSCM_EFYCMote, guarantees continuous operation. It supplies dependable energy to support the integrated sensors, processors, and communication modules, all of which are essential for the long-term and efficient condition monitoring of tensile testing equipment in the textile sector.
ADVANTAGES OF THE INVENTION
1. A key component of this breakthrough is the OSCM_EFYTMote, which uses RF technology and sophisticated sensors to monitor and evaluate tensile testing machines in real time. In the textile sector, this guarantees accurate measurement of the tensile strength and elongation of textiles and yarns.
2. The OSCM_EFYCMote, which combines GSM and RF communication technologies, is essential. This integration enhances the overall effectiveness and accessibility of the condition monitoring system in the textile industry by facilitating smooth data transmission and enabling remote monitoring of tensile testing machines.
3. The Core Processing Module of OSCM_EFYTMote and OSCM_EFYCMote is the Raspberry Pi Processor Board. It facilitates real-time monitoring and effective management of tensile testing machines in the textile sector by enabling data processing, communication, and synchronization of diverse sensors.
4. A key component of dependable wireless communication capabilities is the CC3000 RF Module. This module contributes to the effective condition evaluation and real-time monitoring of tensile testing machines in the textile sector by facilitating seamless data transfer and networking between OSCM_EFYTMote and OSCM_EFYCMote.
5. The OSCM_EFYCMote's integrated GSM modem facilitates remote communication, enabling effective data transmission and remote monitoring of the textile industry's tensile testing equipment. The condition monitoring system's adaptability and accessibility are improved by this integration.
, Claims:1. An iot-integrated online system for condition monitoring of tensile testing machine used to measure the tensile strength and elongation of fabrics and yarnsm comprises OSCM_EFYTMote (11A), which is outfitted with a Raspberry Pi Processor Board (11G), CC3000 RF Module (11B), Vibration Sensor (11F), DHT Sensor (11C), Pressure Sensor (11E), and power supply (11D), it uses sophisticated sensors and RF technology to enable real-time monitoring and condition assessment of tensile testing machines, guaranteeing precise measurement of the tensile strength and elongation of fabrics and yarns in the textile industry.
2. The system as claimed in claim 1, wherein by incorporating RF and GSM communication technologies, the OSCM_EFYCMote which is outfitted with a Raspberry Pi Processor Board, CC3000 RF Module, GSM Modem, and Power Supply plays a critical role in enabling seamless data transmission and remote monitoring of tensile testing machines, ultimately improving the overall effectiveness and accessibility of the condition monitoring system in the textile industry.
3. The system as claimed in claim 1, wherein the OSCM_EFYTMote and OSCM_EFYCMote are integrated with the Raspberry Pi Processor Board, which acts as the main computing hub in both mote to enable data processing, communication, and coordination of different sensors to support effective management and real-time monitoring of tensile testing machines in the textile industry.
4. The system as claimed in claim 1, wherein the CC3000 RF Module is integrated with OSCM_EFYTMote, and OSCM_EFYCMote plays an essential role in real-time monitoring and effective condition assessment of tensile testing machines in the textile industry, it does this by offering dependable wireless communication capabilities, facilitating data transfer and networking between OSCM_EFYTMote and OSCM_EFYCMote.
5. The system as claimed in claim 1, wherein the GSM modem's integration with OSCM_EFYCMote allows for remote communication, which improves the condition monitoring system's accessibility and flexibility by enabling effective data transmission and remote monitoring of tensile testing machines in the textile industry.
6. The system as claimed in claim 1, wherein the Power Supply plug, which is inserted into both the OSCM_EFYTMote and the OSCM_EFYCMote, guarantees continuous operation, it supplies dependable energy to support the integrated sensors, processors, and communication modules, all of which are essential for the long-term and efficient condition monitoring of tensile testing equipment in the textile sector.

Documents

NameDate
202411088638-COMPLETE SPECIFICATION [16-11-2024(online)].pdf16/11/2024
202411088638-DECLARATION OF INVENTORSHIP (FORM 5) [16-11-2024(online)].pdf16/11/2024
202411088638-DRAWINGS [16-11-2024(online)].pdf16/11/2024
202411088638-EDUCATIONAL INSTITUTION(S) [16-11-2024(online)].pdf16/11/2024
202411088638-EVIDENCE FOR REGISTRATION UNDER SSI [16-11-2024(online)].pdf16/11/2024
202411088638-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [16-11-2024(online)].pdf16/11/2024
202411088638-FORM 1 [16-11-2024(online)].pdf16/11/2024
202411088638-FORM FOR SMALL ENTITY(FORM-28) [16-11-2024(online)].pdf16/11/2024
202411088638-FORM-9 [16-11-2024(online)].pdf16/11/2024
202411088638-POWER OF AUTHORITY [16-11-2024(online)].pdf16/11/2024
202411088638-REQUEST FOR EARLY PUBLICATION(FORM-9) [16-11-2024(online)].pdf16/11/2024

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