TIME BOUND FFT ANALYTICS OF INTERMESHING TWIN-SCREW EXTRUDER WITHIN TEXTILE INDUSTRY USING VIBRATION AND TEMPERATURE TRENDING DATA

Abstract

This invention provides a comprehensive time-bound FFT analytics system for monitoring and optimizing the performance of Intermeshing Twin-Screw Extruders in the textile industry. Utilizing an STM32 Processor Board, ESP01 WiFi Board, Vibration Sensor, Temperature Sensor, RTC Module, SD Card Module, and HMI Display, the system captures and analyzes real-time vibration and temperature data. Data is timestamped and stored for time-bound analysis, with results displayed on-site and transmitted to a cloud server for remote monitoring. This solution enhances predictive maintenance, reduces downtime, and ensures efficient operation through proactive monitoring of critical machine parameters.

Specification

Description:FIELD OF THE INVENTION
This invention relates to Time Bound FFT Analytics of Intermeshing Twin-Screw Extruder within Textile Industry using Vibration and Temperature Trending data.
BACKGROUND OF THE INVENTION
This state-of-the-art system is designed especially for the textile industry's intermeshing twin-screw extruders, allowing for real-time monitoring and analysis. In order to gather crucial operating data, vibration and temperature sensors must be placed strategically on the machinery. With the use of an intricate algorithm, the system analyzes this data and provides Time-Bound FFT Analytics for a comprehensive comprehension of machine performance. The results, which include anomaly alerts and trending data, are displayed on-site via an easy-to-use interface, enabling operators to take prompt action. Simultaneously, a cloud-based server guarantees safekeeping of data and permits remote access via an online dashboard.
One of the biggest challenges facing the textile industry is maintaining and monitoring the productivity of intermeshing twin-screw extruders. The lack of a comprehensive and real-time monitoring system hinders the industry's ability to address possible issues such as temperature fluctuations and vibrations during extrusion processes in a proactive manner. Many times, the sophistication needed for Time-Bound FFT Analytics is not present in current monitoring platforms, depriving operators of timely information on machine health. This lack of monitoring skills might result in increased maintenance costs, unexpected downtime, and operational inefficiencies.
JPH01146723A - As for two screws 1 and 1a in the II zone, the screw 1 is provided with a flight inclined by theta1 to a line perpendicular to a screw axis, a flight inclined by the line reversely and connecting sections which are meeting points of the two flights. Being a two-line flight screw, the flights form another zigzag line. A projected section comprising flights insert into a recessed section formed by flights and the screw 1a, making a mesh. When both screws are revolved in the direction, the volume of a recessed of the screw 1a encircled with both screws is decreased. Raw materials, therefore, receive powerful compression and flow into adjacent channels through a space between the flights and an inner wall of a barrel encircling the screw. FFT Analytics of Intermeshing Twin-Screw Extruder through IoT and Cloud Technology is the novelty of the system.
CN214726305U - The utility model relates to the technical field of extruders, and discloses a double-screw extruder, which comprises an extrusion component and a replacement component arranged on one side of the extrusion component, wherein the other side of the replacement component is connected with a motor component; the replacement assembly comprises a first fixing block, a second fixing block, a lubricating pad and a threaded rod, the first fixing block is in contact connection with the extrusion assembly, the top surface of the second fixing block is connected with the bottom surface of the first fixing block, grooves are formed in the faces, close to the second fixing block, of the first fixing block, the lubricating pad is installed in each groove, the number of the threaded rods is two, and threaded ends of the two threaded rods are all arranged on the top surface, penetrating through the first fixing block, of the two threaded rods from top to bottom. The extrusion screw rod is convenient for workers to replace through the arrangement of the replacement component. FFT Analytics of Intermeshing Twin-Screw Extruder through IoT and Cloud Technology 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.
With the TBFATSCMote (100), the textile industry can monitor and optimize the performance of Intermeshing Twin-Screw Extruders through comprehensive Time Bound FFT Analytics, minimizing downtime and increasing operational efficiency. The TBFATSCMote (100) is equipped with an STM32 Processor Board, an ESP01 Wifi Board (101), vibration and temperature sensors (107), an RTC Module (103), an SD Card Module (104), an HMI Display (102), and a power supply (105). These advanced sensors are seamlessly integrated with real-time analytics and remote accessibility.
Time-bound FFT analytics of intermeshing twin-screw extruders in the textile industry are made possible by the STM32 Processor Board, which is integrated into this innovation. It facilitates real-time data processing and orchestrates the coordination of several sensors.
The TBFATSCMote system's integrated ESP01 WiFi Board is used to enable wireless connectivity and facilitate smooth communication with the cloud-based server. This enables real-time analytics and monitoring of intermeshing twin-screw extruders in the textile industry.
The TBFATSCMote system is used to provide crucial real-time data for Time Bound FFT Analytics and to enable proactive monitoring of Intermeshing Twin-Screw Extruders in the Textile Industry. The Vibration Sensor records vibrations from machinery, while the Temperature Sensor keeps an eye on temperature conditions.
The RTC Module ensures precise timestamping of collected data for accurate time-bound analytics, while the SD Card Module securely stores historical information, both of these sensors connected in TBFATSCMote, contributing to the comprehensive monitoring and analysis of Intermeshing Twin-Screw Extruders within the Textile Industry through the TBFATSCMote system.
The TBFATSCMote system's HMI Display is utilized to provide operators with real-time visualizations of temperature and vibration trends, allowing them to keep an eye on the performance of intermeshing twin-screw extruders used in the textile industry.
The TBFATSCMote Power Supply plug-in is used to supply efficient electrical energy to support the device's ongoing analytics and monitoring, assuring dependable and continuous operation.
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 TBFATSCMote invention monitors and analyzes the performance of intermeshing twin-screw extruders in the textile industry using an advanced combination of hardware and software components. The system's primary control unit, an STM32 Processor Board, is responsible for coordinating the actions of several sensors and communication modules. Wireless connectivity is made possible by the ESP01 Wifi Board, which also makes it easier for the device and the cloud-based server to communicate. Vibration and temperature sensors are the main sensors built into the TBFATSCMote. These sensors are positioned carefully to record crucial data points while the Twin-Screw Extruder is operating. While the Temperature Sensor keeps an eye on temperature, the Vibration Sensor records vibrations caused by machines. The STM32 Processor Board processes the data gathered from various sensors in real time. The system has an RTC (Real-Time Clock) Module that synchronizes and timestamps the collected data for exact analytics, allowing operators to connect occurrences with specific time points and guaranteeing correct time-bound analysis.
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 TBFATSCMote invention monitors and analyzes the performance of intermeshing twin-screw extruders in the textile industry using an advanced combination of hardware and software components. The system's primary control unit, an STM32 Processor Board, is responsible for coordinating the actions of several sensors and communication modules. Wireless connectivity is made possible by the ESP01 Wifi Board, which also makes it easier for the device and the cloud-based server to communicate. Vibration and temperature sensors are the main sensors built into the TBFATSCMote. These sensors are positioned carefully to record crucial data points while the Twin-Screw Extruder is operating. While the Temperature Sensor keeps an eye on temperature, the Vibration Sensor records vibrations caused by machines. The STM32 Processor Board processes the data gathered from various sensors in real time. The system has an RTC (Real-Time Clock) Module that synchronizes and timestamps the collected data for exact analytics, allowing operators to connect occurrences with specific time points and guaranteeing correct time-bound analysis.
The SD Card Module keeps past data safe for review and analysis at a later time. It serves as a secure storage medium. An essential part of on-site monitoring is the HMI Display, which provides operators with real-time visualizations of the machine's performance, including trends in temperature and vibration. Simultaneously, the TBFATSCMote connects to a customized cloud server created for this invention. A specific program running on this cloud server analyzes the gathered data using Time-Bound FFT analytics. In addition to logging the data for future reference, the cloud-based server facilitates real-time analytics. Alerts are sent to the on-site HMI Display and a customized web dashboard that may be accessed online based on the findings of the FFT analysis, trending data, and any anomalies found. This enables remote machine monitoring by operators and pertinent authorities, enabling timely decision-making based on the Intermeshing Twin-Screw Extruder's current state.
BEST METHOD OF WORKING
A time-bound FFT analytics system for Intermeshing Twin-Screw Extruders in the textile industry, comprising an STM32 Processor Board that coordinates real-time data collection and analysis, enabling proactive maintenance and optimization of machine performance.
An analytics system with an ESP01 WiFi Board to enable wireless connectivity, facilitating communication between the analytics system and a cloud-based server for remote monitoring.
An analytics system including a Vibration Sensor that captures real-time vibration data, supporting predictive maintenance and anomaly detection.
An analytics system incorporating a Temperature Sensor to monitor temperature variations, providing critical data for time-bound analysis of machine health.
An analytics system including an RTC Module to timestamp data accurately, enabling precise tracking and analysis of vibration and temperature trends over time.
An analytics system with an SD Card Module to store historical data securely, supporting long-term trend analysis and performance review.
An analytics system with an HMI Display serving as an on-site interface, providing operators with real-time visualization of temperature and vibration trends for immediate decision-making.
An analytics system including a Power Supply to ensure continuous operation of the analytics and monitoring system, supporting reliable performance in the textile industry.
ADVANTAGES OF THE INVENTION
1. The TBFATSCMote plays a pivotal role in this breakthrough by skillfully combining real-time analytics, powerful sensors, and remote accessibility. Through thorough Time-Bound FFT Analytics, this connection enables the textile sector to monitor and optimize the performance of Intermeshing Twin-Screw Extruders, reducing downtime and increasing operating efficiency.
2. Wireless connectivity is made possible by the ESP01 Wifi Board, which facilitates smooth communication between the cloud-based server and the TBFATSCMote system. In the textile industry, this functionality enables real-time analytics and monitoring of intermeshing twin-screw extruders.
3. While the Temperature Sensor keeps an eye on the temperature, the Vibration Sensor records vibrations from machinery. Through the TBFATSCMote system, this dynamic pair enables proactive monitoring of Intermeshing Twin-Screw Extruders in the Textile Industry by providing crucial real-time data for Time-Bound FFT Analytics.
4. The SD Card Module safely retains previous data, and the RTC Module makes sure that the gathered data is precisely timestamping for accurate time-bound analytics. Through the TBFATSCMote system, both parts contribute to the thorough monitoring and analysis of intermeshing twin-screw extruders used in the textile industry.
5. The HMI Display provides real-time vibration and temperature trend representations as an on-site interface. With the TBFATSCMote system, this feature allows operators to keep an eye on the performance of Intermeshing Twin-Screw Extruders used in the textile industry.
, Claims:1. A time-bound FFT analytics system for Intermeshing Twin-Screw Extruders in the textile industry, comprising aTBFATSCMote (100) is equipped with an STM32 Processor Board, an ESP01 Wifi Board (101), vibration and temperature sensors (107), an RTC Module (103), an SD Card Module (104), an HMI Display (102), and a power supply (105).
2. The system as claimed in Claim 1, wherein an ESP01 WiFi Board enables wireless connectivity, facilitating communication between the analytics system and a cloud-based server for remote monitoring.
3. The system as claimed in Claim 1, further comprising a Vibration Sensor that captures real-time vibration data, supporting predictive maintenance and anomaly detection.
4. The system as claimed in Claim 1, incorporating a Temperature Sensor to monitor temperature variations, providing critical data for time-bound analysis of machine health.
5. The analytics system as claimed in Claim 1, including an RTC Module to timestamp data accurately, enabling precise tracking and analysis of vibration and temperature trends over time.
6. The system as claimed in Claim 1, wherein an SD Card Module stores historical data securely, supporting long-term trend analysis and performance review.
7. The system as claimed in Claim 1, with an HMI Display as an on-site interface, providing operators with real-time visualization of temperature and vibration trends for immediate decision-making.
8. The system as claimed in Claim 1, further comprising a Power Supply that ensures continuous operation of the analytics and monitoring system, supporting reliable performance in the textile industry.

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