NRF-BASED EXTERNAL DEVICE FOR TORQUE MONITORING IN HDPE SHREDDER MACHINE WITHIN THE PLASTIC INDUSTRY

Abstract

nRF-Based External Device for Torque Monitoring in HDPE Shredder Machine within the Plastic Industry This invention introduces an nRF and IoT-based system for real-time torque monitoring in HDPE shredder machines used in the plastics industry. The system consists of an ETTM_HSMote with an MSPM0L1306 Board, Torque Sensor, and nRF Module for local data acquisition, and an ERTM_HSMote featuring ESP32 WiFi, Display, and Buzzer for wireless communication and cloud integration. By leveraging IoT technology, the system transmits data to a cloud server for advanced analytics and visualization via a web dashboard. This solution enables proactive maintenance, operational efficiency, and reduced downtime in HDPE shredder machine operations.

Specification

Description:FIELD OF THE INVENTION
This invention relates to nRF-Based External Device for Torque Monitoring in HDPE Shredder Machine within the Plastic Industry
BACKGROUND OF THE INVENTION
One major challenge faced by the plastics sector is the optimization and monitoring of torque levels in HDPE shredder machines, which can lead to inefficiencies, increased maintenance costs, and downtime. The inability of the industry to proactively address operational difficulties and improve machinery performance is caused by the absence of a comprehensive and real-time torque monitoring system.
WO2010094306A1 - The present invention relates to a crushing device for crushing material, comprising a material receiving space in which the material to be crushed can be filled; a rotor; and a resqueezing device having a resqueezer and a drive device for the resqueezer, wherein the resqueezer is pivotable about an axis such that it presses the material to be crushed toward the rotor, and wherein the resqueezer remains completely in the material receiving space during operation.
Research Gap: Wireless nRF and cloud-based solution to monitor thrust of HDPE Shredder Machine within an industrial environment is the novelty of the system.
EP2218508A1 - The device has a material receiving unit filled with a grinding material, a dwell pressing device with a dwell-pressing unit and a drive unit. The dwell-pressing unit is pivoted around an axle such that the grinding material is pressed at a rotor. The dwell-pressing unit completely stays in a region at the material receiving unit and includes convex or concave curved dwell-pressing surface. The dwell-pressing unit is pivoted to a wall of the material receiving unit, where the rotor includes a rotor axle that is arranged parallel to an operated shaft.
Research Gap: Wireless nRF and cloud-based solution to monitor thrust of HDPE Shredder Machine within an industrial environment 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.
This ground-breaking development in HDPE shredder machine torque monitoring for the plastics industry offers a comprehensive real-time performance assessment and improvement solution. With the help of this system, which seamlessly combines wireless connectivity, cloud-based analytics, and state-of-the-art sensor technologies, operators can monitor torque, electrical currents, and other critical parameters in the shredder machines. The collected data is processed with the help of clever algorithms, which provide operators with timely insights into the machine's performance and the capacity to detect possible problems.
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.
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 inventive system offers a complete solution for real-time torque monitoring in the plastics industry by smoothly integrating hardware components, wireless connectivity, cloud computing, and machine learning. The ETTM_HSMote and the ERTM_HSMote are two separate devices that work in tandem to facilitate the operation of the invention. These devices use cutting-edge technology to improve torque monitoring capabilities, such as cloud computing based on the Internet of Things and nRF-based remote communication. The main data acquisition unit is the ETTM_HSMote, which is outfitted with the MSPM0L1306 Board, nRF Module, Torque Sensor, Current Sensor, Optical Sensor, and Power Supply. The optical sensor observes pertinent characteristics, the current sensor tracks electrical currents, and the torque sensor records torque data in real time while the HDPE shredder machines are in operation. The MSPM0L1306 Board processes the gathered data according to a preset algorithm, guaranteeing precise and effective torque measurement. The outcomes are then sent to a specific cloud server and shown on the device's interface.
The innovation's capabilities are expanded by the ERTM_HSMote, which also makes use of the MSPM0L1306 Board and nRF Module. This gadget has a display for easy-to-use output, a buzzer for alarm messages, a power supply for continuous operation, and an ESP32 WiFimodule for seamless communication. In order to enable connectivity with the cloud server and give consumers a tangible interface, the ERTM_HSMote is essential. It uses the nRF Module and ESP32 WiFi to send the acquired torque data and additional data to the cloud server. The customized cloud server is made especially to take in, handle, and store the data that comes in from both devices. The server uses machine learning techniques to thoroughly examine the torque data by utilizing cloud technology based on the Internet of Things. The outcomes are then shown in an easy-to-use online dashboard that each operator may access with their unique account. This dashboard displays important data about torque monitoring and oil condition analysis in HDPE shredder machines, along with trending data charts, critical alerts, and daily charts with analytics.
BEST METHOD OF WORKING
1. Real-time data from HDPE shredder machines is captured by the ETTM_HSMote, which is outfitted with an MSPM0L1306 Board, nRF Module, torque sensor, current sensor, optical sensor, and power supply. This allows for precise torque monitoring and the smooth transfer of vital data to a dedicated cloud server for thorough analysis and display.
2. Using nRF-based technology and IoT cloud connectivity, the ERTM_HSMote-which is outfitted with an MSPM0L1306 Board, a nRF Module, an ESP32 WiFi, a display, a buzzer, and a power supply-offers real-time feedback and a visual representation of torque data from HDPE shredder machines.
3. The two motes' integrated nRF Module facilitates smooth wireless communication between the ETTM_HSMote and ERTM_HSMote devices, guaranteeing real-time data transmission of torque and operational parameters to the specialized cloud server for in-depth analysis and monitoring within the HDPE Shredder Machines used in the plastics industry.
4. The Optical Sensor and the Torque Sensor are both integrated into the ETTM_HSMote. The Optical Sensor monitors pertinent parameters in the ETTM_HSMote, while the Torque Sensor records torque data in real-time. The Torque Sensor and the nRF Module are both integrated with the MSPM0L1306 Board and nRF Module, enabling accurate torque monitoring and extensive data collection for HDPE Shredder Machines in the plastics industry. This results in improved operational efficiency and preventative maintenance.
5. The ERTM_HSMote's integrated ESP32 WiFi module is used to enable smooth connectivity, allowing the transmission of operational and torque data to the dedicated cloud server. This improves the HDPE Shredder Machines' capacity for real-time monitoring in the plastics industry and serves as a crucial link for thorough data analysis and display.
6. The ERTM HSMote's interfaced display is utilized to provide a user-friendly interface that makes torque monitoring systems more accessible and useful for operators supervising HDPE shredder machines in the plastics industry. It does this by displaying real-time data and operational insights.

ADVANTAGES OF THE INVENTION
1. The ETTM_HSMote, which uses cutting-edge sensor technologies to collect data in real time from HDPE Shredder Machines, is a key component of this breakthrough. It makes precise torque monitoring possible and makes it easier for critical data to be transmitted to the specialized cloud server for thorough processing and visualization.
2. Using nRF-based technology and IoT cloud connectivity, the ERTM_HSMote functions as a remote monitoring and display unit, providing real-time feedback and a visual representation of torque data from HDPE Shredder Machines.
3. A key component of this invention is the nRF Module, which enables smooth wireless communication between the ETTM_HSMote and ERTM_HSMote devices. It guarantees real-time torque and operational parameter data transmission to a specialized cloud server for thorough analysis and monitoring inside HDPE shredder machines used in the plastics industry.
4. The Optical Sensor keeps an eye on pertinent ETTM_HSMote characteristics, while the Torque Sensor records torque data in real time. For HDPE Shredder Machines in the plastics industry, both are connected with the MSPM0L1306 Board and nRF Module, which helps with accurate torque monitoring and thorough data collection. This facilitates preventative maintenance and increases operational efficiency.
5. The ERTM_HSMote's ESP32 WiFi module enables smooth connectivity, allowing the transfer of operating and torque data to the specialized cloud server. This improves HDPE Shredder Machines' real-time monitoring capabilities in the plastics business and serves as a crucial link for thorough data analysis and display.
, Claims:1. An nRF-Based External Device for Torque Monitoring in HDPE Shredder Machine within the Plastic Industry, comprises an ETTM_HSMote (101) equipped with an MSPM0L1306 Board (102), nRF Module (103), Torque Sensor (104), Current Sensor (105), Optical Sensor (106), and Power Supply (107), and an ERTM_HSMote (201) equipped with an MSPM0L1306 Board (202), nRF Module (203), ESP32 WiFi Module (204), Display (205), Buzzer (206), and Power Supply (207),together, these devices provide real-time torque monitoring, wireless communication, and IoT-enabled cloud integration to enhance the operational efficiency of HDPE shredder machines in the plastics industry.
2. The device, as claimed in Claim 1, wherein the nRF Module (103, 203) facilitates seamless wireless communication between the ETTM_HSMote and ERTM_HSMote, ensuring efficient data transmission for centralized processing and monitoring.
3. The device, as claimed in Claim 1, wherein the Torque Sensor (104) integrated into the ETTM_HSMote provides real-time torque data, enabling accurate monitoring and preventive maintenance in HDPE shredder machines.
4. The device, as claimed in Claim 1, wherein the ESP32 WiFi Module (204) in the ERTM_HSMote enables cloud connectivity, facilitating the transfer of operational and torque data to a dedicated cloud server for real-time analytics and visualization.
5. The device, as claimed in Claim 1, wherein the Optical Sensor (106) in the ETTM_HSMote monitors critical operational parameters, supporting enhanced diagnostic capabilities and operational insights.
6. The device, as claimed in Claim 1, wherein the Display (205) interfaced with the ERTM_HSMote provides real-time visual feedback and operational insights, ensuring user-friendly monitoring and decision-making capabilities for operators.
7. The device, as claimed in Claim 1, wherein IoT-based cloud integration enables advanced analytics using machine learning algorithms, providing actionable insights, trend analysis, and predictive maintenance capabilities for HDPE shredder machines.
8. The device, as claimed in Claim 1, wherein the Buzzer (206) on the ERTM_HSMote provides audible alerts for critical anomalies, improving responsiveness and safety in HDPE shredder machine operations.

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