WIRELESS HEALTH MONITORING OF PLASTIC LUMP SHREDDER IN THE PLASTIC INDUSTRY WITH WPAN INTEGRATION

Abstract

A system of wireless health monitoring of plastic lump shredder in the plastic industry with wpan integration comprises WHPL_SMCMote (100), which is outfitted with an STM32 Board (108), an XBee Module (104), an XBee Base (105), a MEMS vibration sensor (103), a temperature sensor (107), a pressure sensor (102), an RTC module (106), and a power supply (101), this allows for seamless wireless transmission to a cloud server for extensive health monitoring and analysis the WHPL_SMRMote, which has an STM32 Board, an XBee Module, an XBee Base, an ESP32 WiFi module, an HMI display, and a power supply, is used to enable remote access and visualization of the data that has been analyzed, through an on-site display and customized web dashboard, operators can gain vital insights into the performance and health of the plastic lump shredder.

Specification

Description:FIELD OF THE INVENTION
This invention relates to wireless health monitoring of plastic lump shredder in the plastic industry with wpan integration.
BACKGROUND OF THE INVENTION
The plastic lump shredders used in the industry are intended to use this state-of-the-art wireless health monitoring system. The shredder's operational parameters are regularly collected and analyzed in real-time through the utilization of sophisticated sensors and cloud-based technology. A customized cloud server and the sensors can communicate seamlessly thanks to the solution. The data is interpreted by a predefined machine learning algorithm, and the results are shown on an easily navigable web dashboard that can be viewed from a distance. With charts, analytics, and important alerts, this dashboard gives operators real-time information about the shredder's performance. To help operators proactively handle possible problems, the system can also send email notifications in the event of anomalies. Minimize downtime and maximize maintenance efforts with this proactive strategy.
Monitoring the condition and effectiveness of plastic lump shredders is a major concern for the plastics sector. Inadequate real-time monitoring systems prevent operators from quickly identifying possible problems, which leads to increased downtime, maintenance costs, and inefficiencies during the shredding process. The industry's ability to improve operational performance and proactively handle equipment failures is limited by the lack of an advanced solution at this time.
US20140014748A1: A method and system for processing biomass material from harvest to pelletizing includes a continuous shredding stage and grinding stage to reduce the size of the material. A fan pulls air through the shredder and the grinder to assist the movement of the biomass material through the shredder and the grinder. Due to the light weight of the biomass material, the material is transported between the shredding and grinding stages mechanically and pneumatically by a combination auger with air assist. The biomass material may include agricultural residues, such as corn stover. The process and equipment eliminates or minimizes damage to the carbohydrates in the biomass so as to maintain pre-grinding cellulose and hemi-cellulose levels.
RESEARCH GAP: WPAN and Cloud integrated solution for wireless health tracking and information innovation for Plastic Lump Shredder is the novelty of the system.
US20110003341A1: A process for producing saccharide, including saccharifying decrystallized cellulose prepared from a raw material containing cellulose having cellulose I-type crystallinity of more than 33%, the process including: treating the cellulose-containing raw material by means of a mill to reduce the cellulose I-type crystallinity of the cellulose to 33% or less, wherein the cellulose-containing raw material has a cellulose content of a residue obtained by removing water from the cellulose-containing raw material of 20% by weight or more, to thereby prepare decrystallized cellulose, and causing a cellulase and/or a hemicellulase to act on the decrystallized cellulose.
RESEARCH GAP: WPAN and Cloud integrated solution for wireless health tracking and information innovation for Plastic Lump Shredder 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 WHPL_SMCMote and the WHPL_SMRMote are the two primary components of the well-designed system used in the Wireless Health Monitoring of Plastic Lump Shredder in the Plastic Industry with WPAN Integration. An RTC module, power supply, MEMS vibration sensor, temperature sensor, pressure sensor, XBee module, and XBee base are all included with the WHPL_SMCMote. The WHPL_SMRMote, on the other hand, has an XBee Module, XBee Base, ESP32 WiFi, HMI Display, Power Supply, and STM32 Board. When the plastic lump shredder is in use, the WHPL_SMCMote's MEMS Vibration Sensor, Temperature Sensor, and Pressure Sensor continuously gather data in real time about its performance and condition. The XBee Module wirelessly transmits this data to a cloud server that has been specially created for this invention. After integrating with the shredder's control system, the cloud server analyzes the data it receives using a pre-programmed machine learning (ML) algorithm.
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 WHPL_SMCMote and the WHPL_SMRMote are the two primary components of the well-designed system used in the Wireless Health Monitoring of Plastic Lump Shredder in the Plastic Industry with WPAN Integration. An RTC module, power supply, MEMS vibration sensor, temperature sensor, pressure sensor, XBee module, and XBee base are all included with the WHPL_SMCMote. The WHPL_SMRMote, on the other hand, has an XBee Module, XBee Base, ESP32 WiFi, HMI Display, Power Supply, and STM32 Board. When the plastic lump shredder is in use, the WHPL_SMCMote's MEMS Vibration Sensor, Temperature Sensor, and Pressure Sensor continuously gather data in real time about its performance and condition. The XBee Module wirelessly transmits this data to a cloud server that has been specially created for this invention. After integrating with the shredder's control system, the cloud server analyzes the data it receives using a pre-programmed machine learning (ML) algorithm.
In order to enable remote access and data visualization from the analysis, the WHPL_SMRMote is essential. It has an HMI Display for local visualization and an ESP32 WiFi module for wireless connectivity. For on-site monitoring, the processed data-which includes charts, analytics, and critical alerts-is shown on the HMI Display. Operators can also remotely check on the shredder's condition thanks to the same data being available online on a customized web dashboard. The system is set up to send email alerts in the event that the ML algorithm detects any crucial events or abnormalities, in order to improve user awareness and enable rapid action. This feature makes sure that operators are informed of possible problems as soon as possible so they may take quick corrective action. Operators are able to access comprehensive data by logging into their accounts, which gives them the ability to make well-informed decisions about how to operate and maintain the plastic lump shredder.
BEST METHOD OF WORKING
Real-time data from the plastic lump shredder is collected by the WHPL_SMCMote, which is outfitted with an STM32 Board, an XBee Module, an XBee Base, a MEMS vibration sensor, a temperature sensor, a pressure sensor, an RTC module, and a power supply. This allows for seamless wireless transmission to a cloud server for extensive health monitoring and analysis.
The WHPL_SMRMote, which has an STM32 Board, an XBee Module, an XBee Base, an ESP32 WiFi module, an HMI display, and a power supply, is used to enable remote access and visualization of the data that has been analyzed. Through an on-site display and customized web dashboard, operators can gain vital insights into the performance and health of the plastic lump shredder.
The two motes' STM32 Boards are utilized to enable the integration of multiple sensors and communication modules for the purpose of gathering and sending real-time data from the plastic lump shredder for thorough health monitoring and analysis.
The STM32 Board and the cloud server can communicate wirelessly thanks to the XBee Module, which is also included in each of the motes. This enables the smooth transfer of real-time data from the plastic lump shredder to support ongoing health monitoring and analysis.
The WHPL_SMCMote is connected to the MEMS Vibration, Temperature, and Pressure sensors. These sensors work together to provide vital real-time data from the plastic lump shredder, enabling operators to quickly identify and address potential issues through thorough health monitoring and analysis.
The ESP32 WiFi module, which is integrated into the WHPL_SMRMote, is used to enable wireless communication for the device. This improves the overall operational monitoring capabilities by enabling remote access and the visualization of analyzed data from the plastic lump shredder on an on-site HMI Display and a customized web dashboard.
Real-time monitoring and rapid response to crucial warnings and performance metrics are ensured by the HMI Display interfaced in WHPL_SMRMote, which provides on-site visualization of analyzed data from the plastic lump shredder through the WHPL_SMRMote.
The Power Supply, which plugs in externally to both motes, is used to supply the electrical power required to support the various sensors and components in the wireless health monitoring system for plastic lump shredders in the plastic industry. This ensures the consistent and dependable operation of both WHPL_SMCMote and WHPL_SMRMote.
ADVANTAGES OF THE INVENTION
1. The innovation relies heavily on the WHPL_SMCMote, which uses sophisticated sensors to collect data in real time from the plastic lump shredder. It makes smooth wireless communication to a cloud server possible for thorough health analysis and monitoring.
2. The invention relies heavily on the WHPL_SMRMote, which allows for remote access and data viewing after analysis. Through a customized web dashboard and on-site display, it gives operators vital information about the condition and functionality of the plastic lump shredder.
3. The key component of this invention is the XBee Module, which enables wireless communication between the cloud server and the STM32 Board. This makes it possible for the plastic lump shredder to transmit real-time data smoothly, which supports ongoing health monitoring and analysis.
4. The invention is facilitated by the MEMS Vibration Sensor, Temperature Sensor, and Pressure Sensor working together to provide vital real-time data from the plastic lump shredder. This makes it possible to monitor and analyze health in great detail, which helps operators to quickly recognize and resolve possible problems.
5. The ESP32 Wifi module is essential to the innovation since it makes it possible for the WHPL_SMRMote to communicate wirelessly. This improves overall operational monitoring capabilities by enabling online access and visualization of the plastic lump shredder's processed data on a customized web dashboard and an on-site HMI display.
6. The HMI Display, which provides on-site viewing of the collected data from the plastic lump shredder using the WHPL_SMRMote, is a crucial interface in the innovation. Because of the real-time monitoring this provides, operators can react quickly to important alarms and performance indicators.
, Claims:1. A system of wireless health monitoring of plastic lump shredder in the plastic industry with wpan integration comprises WHPL_SMCMote (100), which is outfitted with an STM32 Board (108), an XBee Module (104), an XBee Base (105), a MEMS vibration sensor (103), a temperature sensor (107), a pressure sensor (102), an RTC module (106), and a power supply (101), this allows for seamless wireless transmission to a cloud server for extensive health monitoring and analysis.
2. The system as claimed in claim 1, wherein the WHPL_SMRMote, which has an STM32 Board, an XBee Module, an XBee Base, an ESP32 WiFi module, an HMI display, and a power supply, is used to enable remote access and visualization of the data that has been analyzed, through an on-site display and customized web dashboard, operators can gain vital insights into the performance and health of the plastic lump shredder.
3. The system as claimed in claim 1, wherein the two motes' STM32 Boards are utilized to enable the integration of multiple sensors and communication modules for the purpose of gathering and sending real-time data from the plastic lump shredder for thorough health monitoring and analysis.
4. The system as claimed in claim 1, wherein the STM32 Board and the cloud server can communicate wirelessly thanks to the XBee Module, which is also included in each of the motes, this enables the smooth transfer of real-time data from the plastic lump shredder to support ongoing health monitoring and analysis.
5. The system as claimed in claim 1, wherein the WHPL_SMCMote is connected to the MEMS Vibration, Temperature, and Pressure sensors. These sensors work together to provide vital real-time data from the plastic lump shredder, enabling operators to quickly identify and address potential issues through thorough health monitoring and analysis.
6. The system as claimed in claim 1, wherein the ESP32 WiFi module, which is integrated into the WHPL_SMRMote, is used to enable wireless communication for the device, this improves the overall operational monitoring capabilities by enabling remote access and the visualization of analyzed data from the plastic lump shredder on an on-site HMI Display and a customized web dashboard.
7. The system as claimed in claim 1, wherein real-time monitoring and rapid response to crucial warnings and performance metrics are ensured by the HMI Display interfaced in WHPL_SMRMote, which provides on-site visualization of analyzed data from the plastic lump shredder through the WHPL_SMRMote.
8. The system as claimed in claim 1, wherein the Power Supply, which plugs in externally to both motes, is used to supply the electrical power required to support the various sensors and components in the wireless health monitoring system for plastic lump shredders in the plastic industry, this ensures the consistent and dependable operation of both WHPL_SMCMote and WHPL_SMRMote.

Documents