IOT-BASED CONDITION MONITORING DEVICE FOR WARP KNITTING TRICOT MACHINE USED IN BLANKET AND UPHOLSTERY FINE PRODUCT MANUFACTURING

Abstract

An iot-based condition monitoring device for warp knitting tricot machine used in blanket and upholstery fine product manufacturing comprises ICMDTCDNode (30) that is equipped with Raspberry Pi Processor Board (30), GSM Modem (38), MEMS Vibration Sensor (31), Metallic Temperature sensor (32), Pressure Sensor (33), RTC Module (36), HMI Display (37), Indicator (35) and Power Supply (34), is used for centralize data collection and processing, to gather real-time data from warp knitting tricot machines using sensors, facilitating comprehensive condition monitoring and analysis for enhanced operational efficiency and reduced maintenance costs in blanket and upholstery manufacturing the Raspberry Pi Processor Board that is incorporated in ICMDTCDNode, is used as computational backbone for this innovation, enabling data processing, communication with sensors, and facilitating real-time analysis for effective condition monitoring of warp knitting tricot machines in blanket and upholstery manufacturing.

Specification

Description:FIELD OF THE INVENTION
This invention relates to iot-based condition monitoring device for warp knitting tricot machine used in blanket and upholstery fine product manufacturing.
BACKGROUND OF THE INVENTION
The condition monitoring procedure for warp knitting tricot machines-which are frequently used in the manufacture of blankets and upholstery-has advanced significantly with the introduction of this invention. It makes it possible to continuously monitor and analyze critical machine parameters in real-time by fusing state-of-the-art sensor technology with cloud computing and sophisticated machine learning techniques. This integrated system raises the bar for product quality while lowering maintenance costs and increasing operational efficiency. It thus becomes a vital resource in the industry that produces blankets and upholstery.
This invention addresses the challenge of creating effective condition monitoring systems for warp knitting tricot machines used in the production of blankets and upholstery. Conventional monitoring techniques usually don't provide comprehensive insights into machine health and can't provide real-time capabilities, which leads to inefficiencies, unplanned downtime, and increased maintenance costs.
CN110241511A: A kind of tricot machine that part is opened with latch needles is provided, the tricot machine includes looping device and guide bar assembly, and the looping device is provided with latch needles, and latch needles is provided near the latch needles and opens part, so that the latch needles is opened. In order to solve the above technical problems, the technical scheme is that a kind of tricot machine for opening part with latch needles, described Tricot machine includes looping device and guide bar assembly, and the looping device is provided with latch needles, is provided near the latch needles Latch needles opens part, so that the latch needles is opened.
RESEARCH GAP: A Wireless Condition Monitoring solution for Warp Knitting Tricot Machine with in industrial environments is the novelty of the system.
CN215947544U: The utility model discloses a high-speed tricot jacquard warp knitting machine for a special department, which comprises an oil tank, a disc head frame, a looping swing mechanism, a guide bar swing base, a guide bar swing shaft, a guide bar swing arm, a guide bar swing seat, a guide bar swing arm connecting rod, a transmission part, a jacquard guide bar, a bottom guide bar, a yarn passing assembly, a warp beam disc head, a jacquard driving cage, a wallboard, a cross beam, a needle core swing shaft, a settlement swing shaft and a groove needle swing shaft, wherein the jacquard driving cage is arranged on the disc head frame, the yarn passing assembly and the warp beam disc head are arranged on the disc head frame, and the needle core swing shaft, the settlement swing shaft and the groove needle swing shaft are respectively inserted on the wallboard and used as fulcrum shafts of rotary motion. The guide bar swinging mechanism and the looping swinging mechanism are separated, so that the yarn passing assembly and the jacquard cage are in a stable static working state to improve the stability of high-speed jacquard weaving movement of equipment; bottom sley bar, merchant card sley bar increase the operating space by the face end of sley bar swing seat, back end opposite direction dismouting respectively, reduce the operation degree of difficulty.
RESEARCH GAP: A Wireless Condition Monitoring solution for Warp Knitting Tricot Machine with in industrial environments 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 innovation offers thorough condition monitoring and analysis for warp knitting tricot machines by smoothly integrating IoT technologies, cloud computing, machine learning algorithms, and web connectivity. The tricot machine has the ICMDTCDNode installed, which is made up of a Raspberry Pi CPU board and a variety of sensors like MEMS vibration, metallic temperature, and pressure sensors. These sensors are always collecting information about how the machine is operating, such as pressure shifts, temperature swings, and vibration levels. Then, this information is sent over the GSM modem to a cloud server that has been configured especially to handle the incoming data. The cloud server functions as the hub, processing and storing all of the data. The data is then instantly analyzed by pre-programmed machine learning algorithms to find patterns, trends, and anomalies that reflect the health of the machine.
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 innovation offers thorough condition monitoring and analysis for warp knitting tricot machines by smoothly integrating IoT technologies, cloud computing, machine learning algorithms, and web connectivity. The tricot machine has the ICMDTCDNode installed, which is made up of a Raspberry Pi CPU board and a variety of sensors like MEMS vibration, metallic temperature, and pressure sensors. These sensors are always collecting information about how the machine is operating, such as pressure shifts, temperature swings, and vibration levels. Then, this information is sent over the GSM modem to a cloud server that has been configured especially to handle the incoming data. The cloud server functions as the hub, processing and storing all of the data. The data is then instantly analyzed by pre-programmed machine learning algorithms to find patterns, trends, and anomalies that reflect the health of the machine.
For ease of understanding, the analysis's results are provided in a variety of formats. Operators can immediately assess the operation of the machine by seeing real-time data on the HMI (Human-Machine Interface) display that is linked to the ICMDTCDNode. A local web dashboard connected to the internet provides access to trending data charts and condition monitoring reports generated by the cloud server. Operators have access to a wealth of information regarding the state of the machine by logging into the web dashboard with their accounts. This information includes trending data charts, real-time monitoring updates, and comprehensive analysis reports. Furthermore, the system is engineered to produce crucial notifications as soon as the machine learning algorithms identify any irregularities or possible problems. Operators receive these signals quickly, enabling them to take proactive steps to resolve the issue and minimize downtime.
BEST METHOD OF WORKING
The ICMDTCDNode that is equipped with Raspberry Pi Processor Board, GSM Modem, MEMS Vibration Sensor, Metallic Temperature sensor, Pressure Sensor, RTC Module, HMI Display, Indicator and Power Supply, is used for centralize data collection and processing, to gather real-time data from warp knitting tricot machines using sensors, facilitating comprehensive condition monitoring and analysis for enhanced operational efficiency and reduced maintenance costs in blanket and upholstery manufacturing.
The Raspberry Pi Processor Board that is incorporated in ICMDTCDNode, is used as computational backbone for this innovation, enabling data processing, communication with sensors, and facilitating real-time analysis for effective condition monitoring of warp knitting tricot machines in blanket and upholstery manufacturing.
The built-in GSM modem in the ICMDTCDNode facilitates smooth communication between the device and the customized cloud server. This allows real-time data from warp knitting tricot machines to be transmitted, allowing for remote monitoring and analysis for improved operational efficiency in the production of blankets and upholstery.
The ICMDTCDNode is linked to the MEMS Vibration Sensor, Metallic Temperature Sensor, and Pressure Sensor. These sensors are utilized to offer real-time tracking of important machine parameters like vibration levels, temperature swings, and pressure changes. This allows for thorough condition monitoring and analysis for enhanced operational effectiveness and maintenance in the blanket and upholstery manufacturing industries.
The HMI Display, which is interfaced with the ICMDTCDNode, serves as an operator's user interface for visualizing real-time data and analysis results produced by the ICMDTCDNode. This allows for quick decision-making to optimize performance and minimize downtime in the manufacturing of blankets and upholstery.
ADVANTAGES OF THE INVENTION
1. Using a variety of sensors and connectivity modules, the ICMDTCDNode serves as the hub for data collection and processing. Its job is to collect data in real time from tricot warp knitting machines so that thorough condition monitoring and analysis can be performed. This lowers maintenance costs and improves operating efficiency in the blanket and upholstery production sector.
2. The ICMDTCDNode's computational center is the Raspberry Pi Processor Board. It is in charge of data processing, sensor communication, and real-time analysis. This makes it possible to effectively monitor the status of warp knitting tricot machines used in the production of blankets and upholstery.
3. The GSM Modem makes it possible to transmit real-time data from warp knitting tricot machines to the customized cloud server while facilitating smooth connection between the ICMDTCDNode and the latter. The capacity to monitor and analyze remotely improves operational efficiency in the blanket and upholstery production industry.
4. The MEMS Vibration Sensor, Metallic Temperature Sensor, and Pressure Sensor are essential components of the ICMDTCDNode. They offer real-time monitoring of critical machine characteristics like pressure shifts, temperature swings, and vibration levels. The manufacturing of blankets and upholstery benefits from increased operational efficiency and maintenance as a result of this thorough monitoring and analysis.
, Claims:1. An iot-based condition monitoring device for warp knitting tricot machine used in blanket and upholstery fine product manufacturing comprises ICMDTCDNode (30) that is equipped with Raspberry Pi Processor Board (30), GSM Modem (38), MEMS Vibration Sensor (31), Metallic Temperature sensor (32), Pressure Sensor (33), RTC Module (36), HMI Display (37), Indicator (35) and Power Supply (34), is used for centralize data collection and processing, to gather real-time data from warp knitting tricot machines using sensors, facilitating comprehensive condition monitoring and analysis for enhanced operational efficiency and reduced maintenance costs in blanket and upholstery manufacturing.
2. The device as claimed in claim 1, wherein the Raspberry Pi Processor Board that is incorporated in ICMDTCDNode, is used as computational backbone for this innovation, enabling data processing, communication with sensors, and facilitating real-time analysis for effective condition monitoring of warp knitting tricot machines in blanket and upholstery manufacturing.
3. The device as claimed in claim 1, wherein the built-in GSM modem in the ICMDTCDNode facilitates smooth communication between the device and the customized cloud server, this allows real-time data from warp knitting tricot machines to be transmitted, allowing for remote monitoring and analysis for improved operational efficiency in the production of blankets and upholstery.
4. The device as claimed in claim 1, wherein the ICMDTCDNode is linked to the MEMS Vibration Sensor, Metallic Temperature Sensor, and Pressure Sensor, these sensors are utilized to offer real-time tracking of important machine parameters like vibration levels, temperature swings, and pressure changes, this allows for thorough condition monitoring and analysis for enhanced operational effectiveness and maintenance in the blanket and upholstery manufacturing industries.
5. The device as claimed in claim 1, wherein the HMI Display, which is interfaced with the ICMDTCDNode, serves as an operator's user interface for visualizing real-time data and analysis results produced by the ICMDTCDNode, this allows for quick decision-making to optimize performance and minimize downtime in the manufacturing of blankets and upholstery.

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