A PLUGIN DEVICE FOR ONLINE HYDRAULIC OIL CONDITION MONITORING FOR ELECTRONIC KNITTING MACHINE IN THE TEXTILE INDUSTRY

Abstract

A plugin device for online hydraulic oil condition monitoring for electronic knitting machine in the textile industry comprises PTCD_EKMote (50), which is equipped with an ATmega2560 MCU Board (120), an ESP8266 WiFi Module (60), a NAS Sensor (100), a liquid temperature sensor (110), an HMI Display (70), and a power supply (80), is used, this ultimately facilitates proactive maintenance and maximizes operational efficiency the central processing unit of PTCD_EKMote is the ATmega2560 MCU Board, which effectively manages and controls the various sensors and components to orchestrate the functionality, this helps to monitor and analyze hydraulic oil conditions in real-time in electronic knitting machines used in the textile industry.

Specification

Description:FIELD OF THE INVENTION
This invention relates to a plugin device for online hydraulic oil condition monitoring for electronic knitting machine in the textile industry.
BACKGROUND OF THE INVENTION
The textile industry is going to undergo a revolution thanks to this innovative solution for electronic knitting machines, which presents a fresh method of online hydraulic oil condition monitoring. It skillfully integrates sensors and cloud-based technology to provide real-time insights into hydraulic systems health. Temperature, velocity, and oil level data are all continuously streamed through the system. This data is then processed using sophisticated machine learning algorithms, which produce detailed visualizations including trending charts, real-time data representations, and important warnings.
One of the biggest challenges facing the textile industry is maintaining the optimal functioning of electronic knitting machines. This is mainly due to insufficient real-time monitoring of hydraulic oil conditions. Traditional maintenance techniques usually result in reactive problem-solving, increasing machine downtime and operating inefficiencies.
US7533545B2: Disclosed is a knitting machine comprising knitting needles, at least one weft bar for laying at least one weft thread across the knitting needles, an electrically driven thread feeder for the weft thread, a take-down device for the textile material, and an electronic device for controlling the knitting machine based on a pattern program for the textile material that is to be produced. In order to improve the production process and the textile material, said control device is provided with control means for adjusting the feeding length of the weft thread that is to be delivered according to the traveling distance of the weft bar, which is predefined by the pattern program.
RESEACRH GAP: A Cloud and IoT based External Device for Hydraulic Oil condition Monitoring for Electronic Knitting Machine with in textile industry is the novelty of the system.
US11401638B2: System and method of manufacturing a unitary construction of a weft knit article with one or more warp insert in an integrated knitting process by using a weft knit machine. The unitary construction comprises one or more yarn materials which are incorporated into one or more weft and warp stitch structures. The knitting machine is equipped with a warp feeder assembly, including a weft knit warp feeder, a warp knitting guide needle block operable to hold a plurality of warp strands, a strand guide bar configured to guide the plurality of warp strands to the weft knit warp feeder, and a cam box. The cam box includes at least a weft stitch cam, a weft guard cam, a warp stitch cam, and a warp guard cam.
RESEARCH GAP: A Cloud and IoT based External Device for Hydraulic Oil condition Monitoring for Electronic Knitting Machine with in 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.
With the seamless integration of hardware, cloud computing, and machine learning, the PTCD_EKMote offers a powerful online hydraulic oil condition monitoring solution for electronic knitting machines that is also easy to use. This breakthrough ensures ideal hydraulic oil conditions in the electronic knitting machines used in the textile sector through a methodical procedure that includes data collection, transmission, cloud-based processing, and local display. The device's central controller, the ATmega2560 MCU Board, is in charge of managing a number of parts, such as the liquid velocity sensor, which measures flow rate, the liquid temperature sensor, which tracks oil temperature, and the NAS sensor, which monitors oil levels. These sensors collect data on the hydraulic system's performance continually in real time.
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.
With the seamless integration of hardware, cloud computing, and machine learning, the PTCD_EKMote offers a powerful online hydraulic oil condition monitoring solution for electronic knitting machines that is also easy to use. This breakthrough ensures ideal hydraulic oil conditions in the electronic knitting machines used in the textile sector through a methodical procedure that includes data collection, transmission, cloud-based processing, and local display. The device's central controller, the ATmega2560 MCU Board, is in charge of managing a number of parts, such as the liquid velocity sensor, which measures flow rate, the liquid temperature sensor, which tracks oil temperature, and the NAS sensor, which monitors oil levels. These sensors collect data on the hydraulic system's performance continually in real time.
The ESP8266 Wifi Module, designed specifically for this invention and featuring sophisticated incoming data processing capabilities, is used to transport the collected data to a specialized cloud server. The cloud server examines the data using a pre-programmed machine learning algorithm to find patterns and assess the general condition of the hydraulic fluid. Following processing, the data is converted into insightful analysis and shown via an intuitive user interface. The device's HMI Display allows for the local visualization of real-time data, and an on-site customizable online dashboard with live data, extensive trending charts, and important notifications is available.
Notably, the local online dashboard is an operator-friendly platform that provides a comprehensive overview of hydraulic oil conditions. Operators may securely access the customized user interface and make decisions more quickly by logging onto their accounts. Operators can react quickly to deviations or important alarms because to this real-time visibility into the hydraulic system's performance, which facilitates preventive maintenance and reduces machine downtime.
BEST METHOD OF WORKING
In order to enable real-time monitoring and thorough analysis of hydraulic oil conditions in electronic knitting machines within the textile industry, the PTCD_EKMote, which is equipped with an ATmega2560 MCU Board, an ESP8266 WiFi Module, a NAS Sensor, a liquid temperature sensor, an HMI Display, and a power supply, is used. This ultimately facilitates proactive maintenance and maximizes operational efficiency.
The central processing unit of PTCD_EKMote is the ATmega2560 MCU Board, which effectively manages and controls the various sensors and components to orchestrate the functionality. This helps to monitor and analyze hydraulic oil conditions in real-time in electronic knitting machines used in the textile industry.
Another component of PTCD_EKMote is the ESP8266 Wifi Module, which is utilized to provide smooth internet access, allow real-time data transfer to a customized cloud server, and guarantee remote access to extensive information about hydraulic oil conditions in electronic knitting machines used in the textile sector.
The HMI Display, which is interfaced with PTCD_EKMote, is utilized to give operators in the textile industry localized real-time visuals and insights into hydraulic oil conditions, improving on-site monitoring and enabling quick decision-making.
The Liquid Temperature, Liquid Velocity, and NAS sensors are all connected to the PTCD_EKMote and work together to continuously monitor the temperature, flow rate, and hydraulic oil levels in electronic knitting machines. This vital real-time data is used for thorough analysis and preventative maintenance in the textile industry.
ADVANTAGES OF THE INVENTION
1. The PTCD_EKMote, which seamlessly combines sensors, cloud-based technologies, and an intuitive user interface, is a key component of this invention. In the end, this connection supports preventative maintenance and maximizes operational efficiency by enabling real-time monitoring and comprehensive analysis of hydraulic oil conditions in electronic knitting machines used in the textile sector.
2. The ESP8266 Wifi Module allows for seamless internet access, which improves the functionality of PTCD_EKMote. It enables real-time data transfer to a tailored cloud server, providing remote access to extensive information about hydraulic oil conditions in textile sector electronic knitting machines.
3. A key interface in PTCD_EKMote is the HMI Display, which provides localized real-time visualizations and information on hydraulic oil conditions. This functionality helps operators in the textile industry make quick decisions and improves on-site monitoring.
4. Together, the Liquid Temperature Sensor, Liquid Velocity Sensor, and NAS Sensor support the reliable operation of PTCD_EKMote. In electronic knitting machines, they continuously check the temperature, flow rate, and hydraulic oil levels. This real-time data is crucial for thorough analysis and preventative maintenance in the textile sector.
, Claims:1. A plugin device for online hydraulic oil condition monitoring for electronic knitting machine in the textile industry comprises PTCD_EKMote (50), which is equipped with an ATmega2560 MCU Board (120), an ESP8266 WiFi Module (60), a NAS Sensor (100), a liquid temperature sensor (110), an HMI Display (70), and a power supply (80), is used, this ultimately facilitates proactive maintenance and maximizes operational efficiency.
2. The device as claimed in claim 1, wherein the central processing unit of PTCD_EKMote is the ATmega2560 MCU Board, which effectively manages and controls the various sensors and components to orchestrate the functionality, this helps to monitor and analyze hydraulic oil conditions in real-time in electronic knitting machines used in the textile industry.
3. The device as claimed in claim 1, wherein another component of PTCD_EKMote is the ESP8266 Wifi Module, which is utilized to provide smooth internet access, allow real-time data transfer to a customized cloud server, and guarantee remote access to extensive information about hydraulic oil conditions in electronic knitting machines used in the textile sector.
4. The device as claimed in claim 1, wherein the HMI Display, which is interfaced with PTCD_EKMote, is utilized to give operators in the textile industry localized real-time visuals and insights into hydraulic oil conditions, improving on-site monitoring and enabling quick decision-making.


5. The device as claimed in claim 1, wherein the Liquid Temperature, Liquid Velocity, and NAS sensors are all connected to the PTCD_EKMote and work together to continuously monitor the temperature, flow rate, and hydraulic oil levels in electronic knitting machines, this vital real-time data is used for thorough analysis and preventative maintenance in the textile industry.

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