LPWAN-INTEGRATED SENSORY CONDITION TRACKING INNOVATION FOR AUTOMOTIVE PROFILE EXTRUSION MACHINE IN THE SEALING PROCESS WITHIN THE AUTOMOBILE INDUSTRY

Abstract

Lpwan-integrated sensory condition tracking innovation for automotive profile extrusion machine in the sealing process within the automobile industry comprises LPSCT_APETMote (10), which is outfitted with an ATmega2560 SMD Board (18), Lora Module (17), Accelerometer (15), Temperature Sensor (14), Pressure Sensor (13), Vibration Sensor (12), RTC Module (16), EEPROM Module, and Power Supply (11), this allows for effective online condition tracking and supports data-driven decision-making in the automotive industry. using a TFT display, the LPSCT_APERMote, which is outfitted with a custom ATmega2560 SMD board, a Lora module, a GSM modem, a power supply, and a connection to a customized cloud server, enables authorized operators and authorities to view critical alerts and analytics produced by the integrated machine learning algorithm during the online condition tracking of Automotive Profile Extrusion Machines in the automotive industry's sealing process.

Specification

Description:FIELD OF THE INVENTION
This invention relates to lpwan-integrated sensory condition tracking innovation for automotive profile extrusion machine in the sealing process within the automobile industry.
BACKGROUND OF THE INVENTION
This innovative solution provides real-time, remote condition monitoring for automobile Profile Extrusion Machines during the automobile industry's sealing process. The solution reliably monitors critical factors such as temperature, pressure, and vibrations by combining wireless sensor nodes with advanced data analytics and cloud computing. Sent to a dedicated cloud server, the collected data is evaluated by a specialized machine learning algorithm to generate important alerts and insightful insights. Authorized operators and authorities can use this information to make educated decisions and carry out preventative maintenance plans by accessing it through a personalized web dashboard.
It is challenging to achieve real-time and comprehensive tracking and analysis in the current condition monitoring environment in the automotive industry, particularly in the sealing process of Automotive Profile Extrusion Machines. The limited integration of conventional monitoring systems with innovative technologies hinders their ability to provide timely insights into vital factors such as temperature, pressure, and vibrations throughout the extrusion process.
US8946333B2: A thermally conductive filler composition and a resin composition comprising such filler compositions. The filler composition comprises a blend of a boron nitride, a metal oxide, and a silane. The filler composition can further comprise other filler components including, for example, glass fiber or glass flake. The filler compositions can be added to a resin composition to provide a thermally conductive resin such as, for example, a thermally conductive plastic.
RESEARCH GAP: LPWAN and Cloud integrated solution for condition tracing and alert for Automotive Profile Extrusion Machine is the novelty of the system.
US20140080951A1: A thermally conductive plastic composition and a system and method for forming such compositions. The thermally conductive composition comprises a polymer material and a thermally conductive filler, such as boron nitride, and exhibits good in-plane thermal conductivity, through-plane conductivity, or both. The system for forming thermally conductive plastic compositions comprises an extruder and an extruder screw comprising fractional mixing elements. The extruder can also comprise a screw with shovel elements located in a region of the system for introducing a thermally conductive filler into the extruder. The system and method allow for the processing of thermally conductive plastic compositions comprising boron nitride and can allow for the processing of boron nitride agglomerates such that the agglomerates remain sufficiently in tact to provide a composition exhibiting both excellent in-plane and through-plane conductivity.
RESEARCH GAP: LPWAN and Cloud integrated solution for condition tracing and alert for Automotive Profile Extrusion Machine 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 LPSCT_APETMote and the LPSCT_APERMote are the two key parts of the LPWAN-Integrated Sensory Condition Tracking Innovation for Automotive Profile Extrusion Machines in the Sealing Process within the Automobile Industry. As the extrusion machine's sensory hub, the LPSCT_APETMote is outfitted with a Custom ATmega2560 SMD Board, a LoRa Module, and a variety of sensors (such as accelerometers, temperature, pressure, and vibration sensors). This allows it to collect and store real-time data on a range of parameters related to the machine's status. Through the LoRa module, this mote uses a low-power, long-range wireless network to send the collected data, which includes important information like temperature fluctuations, pressure levels, and vibrations throughout the sealing process. In addition, a Real-Time Clock (RTC) module makes sure that the data is precisely timestamped, which helps with time-series analysis accuracy. The LPSCT_APERMote, on the other hand, is made especially for remote communication and uses a comparable Custom ATmega2560 SMD Board with LoRa Module. This mote incorporates a TFT display for on-site observation and a GSM modem for extra connectivity.

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 LPSCT_APETMote and the LPSCT_APERMote are the two key parts of the LPWAN-Integrated Sensory Condition Tracking Innovation for Automotive Profile Extrusion Machines in the Sealing Process within the Automobile Industry. As the extrusion machine's sensory hub, the LPSCT_APETMote is outfitted with a Custom ATmega2560 SMD Board, a LoRa Module, and a variety of sensors (such as accelerometers, temperature, pressure, and vibration sensors). This allows it to collect and store real-time data on a range of parameters related to the machine's status. Through the LoRa module, this mote uses a low-power, long-range wireless network to send the collected data, which includes important information like temperature fluctuations, pressure levels, and vibrations throughout the sealing process. In addition, a Real-Time Clock (RTC) module makes sure that the data is precisely timestamped, which helps with time-series analysis accuracy. The LPSCT_APERMote, on the other hand, is made especially for remote communication and uses a comparable Custom ATmega2560 SMD Board with LoRa Module. This mote incorporates a TFT display for on-site observation and a GSM modem for extra connectivity.
Serving as a local interface, the TFT display provides quick access to important data and notifications. Transmitting gathered data is the innovation's primary role, and the GSM modem makes it easier to communicate with the customized cloud server. With a specially designed infrastructure, the server is built to effectively accept, store, and process data. After entering the cloud, the incoming data is analyzed by a pre-programmed machine learning algorithm to find trends and abnormalities related to the extrusion machine's operation during the sealing process. The LPSCT_APERMote's TFT display and a web dashboard both display the studied results, which include important alarms and perceptive analytics. Authorized operators and authorities can safely access this data by logging into their accounts on the online dashboard thanks to its customized user interface. By guaranteeing that vital alarms and analytics are easily accessible from a distance as well as on-site, this dual-display system helps to promote proactive maintenance and timely decision-making.
BEST METHOD OF WORKING
Real-time temperature, pressure, and vibration data is collected during the sealing process of Automotive Profile Extrusion Machines by means of the LPSCT_APETMote, which is outfitted with an ATmega2560 SMD Board, Lora Module, Accelerometer, Temperature Sensor, Pressure Sensor, Vibration Sensor, RTC Module, EEPROM Module, and Power Supply. This allows for effective online condition tracking and supports data-driven decision-making in the automotive industry.
Using a TFT display, the LPSCT_APERMote, which is outfitted with a custom ATmega2560 SMD board, a Lora module, a GSM modem, a power supply, and a connection to a customized cloud server, enables authorized operators and authorities to view critical alerts and analytics produced by the integrated machine learning algorithm during the online condition tracking of Automotive Profile Extrusion Machines in the automotive industry's sealing process.
Both of the motes have a custom ATmega2560 SMD Board that is used to manage data acquisition, sensor integration, and communication protocols. These functions are essential for the smooth operation and integration of different parts in the online condition tracking innovation for Automotive Profile Extrusion Machines in the automotive industry's sealing process.
The LoRa Module, which is integrated into both of the motes, enables real-time data transmission between the sensor-equipped motes (LPSCT_APETMote and LPSCT_APERMote) and the customized cloud server, enabling effective online condition tracking of Automotive Profile Extrusion Machines in the sealing process within the automobile industry.
The LPSCT_APETMote, which is equipped with sensors for acceleration, temperature, pressure, and vibration, allows for the comprehensive real-time data collection of vital parameters during the sealing process of Automotive Profile Extrusion Machines. These inputs are crucial for the machine learning algorithm and guarantee precise online condition tracking in the automotive sector.
For seamless remote access to critical alerts and analytics generated during the online condition tracking of Automotive Profile Extrusion Machines in the sealing process within the automobile industry, the integrated GSM modem in the LPSCT_APERMote improves connectivity by enabling communication with a customized cloud server.
The TFT Display integrated into the LPSCT_APERMote serves as a local interface for operators and authorities to monitor real-time data produced by the online condition tracking system for Automotive Profile Extrusion Machines used in the sealing process in the automotive industry. It also provides on-site visualization of critical alerts and analytics.
To ensure dependable and continuous operation, the Power Supply, which is a plug-in component for both the LPSCT_APETMote and LPSCT_APERMote, provides the energy required for the integrated sensors, communication modules, and processing units. This keeps the online condition tracking innovation for Automotive Profile Extrusion Machines in the sealing process within the automotive industry functional.
ADVANTAGES OF THE INVENTION
1. The LPSCT_APETMote serves as a comprehensive sensory hub, combining a variety of sensors with wireless communication technologies to record temperature, pressure, and vibration data in real time when Automotive Profile Extrusion Machines are sealing. This feature facilitates effective online condition monitoring and supports data-driven decision-making in the automotive sector.
2. Using a TFT display, the LPSCT_APERMote enables on-site visibility in addition to distant communication. Through its connection to a specially designed cloud server, it gives authorized operators and authorities access to vital alerts and analytics produced by the machine learning algorithm integrated into the online condition tracking of Automotive Profile Extrusion Machines used in the automotive industry's sealing process.
3. The creation of a long-range, low-power wireless communication network depends heavily on the LoRa Module. In order to enable effective online condition tracking of Automotive Profile Extrusion Machines in the sealing process within the automobile industry, this network makes it possible for real-time data to be transmitted between the sensor-equipped motes (LPSCT_APETMote and LPSCT_APERMote) and the customized cloud server.
4. Thorough real-time data gathering on crucial parameters during the sealing process of Automotive Profile Extrusion Machines is made possible by the integration of the Accelerometer, Temperature Sensor, Pressure Sensor, and Vibration Sensor in the LPSCT_APETMote. This integration ensures precise online condition tracking for the automotive industry by providing crucial inputs for the machine learning system.
5. By enabling communication with a customized cloud server, the GSM modem in the LPSCT_APERMote improves connectivity and guarantees easy remote access to vital alerts and analytics produced during the online condition tracking of Automotive Profile Extrusion Machines used in the sealing process in the automotive industry.
6. The TFT Display in the LPSCT_APERMote provides operators and authorities with a local interface to monitor real-time information generated by the online condition tracking system for Automotive Profile Extrusion Machines used in the sealing process in the automotive industry. This allows for the visualization of critical alerts and analytics.
, Claims:1. A LPWAN-integrated sensory condition tracking system for automotive profile extrusion machine in the sealing process within the automobile industry comprises LPSCT_APETMote (10), which is outfitted with an ATmega2560 SMD Board (18), Lora Module (17), Accelerometer (15), Temperature Sensor (14), Pressure Sensor (13), Vibration Sensor (12), RTC Module (16), EEPROM Module, and Power Supply (11), this allows for effective online condition tracking and supports data-driven decision-making in the automotive industry.
2. The system as claimed in claim 1, wherein using a TFT display, the LPSCT_APERMote, which is outfitted with a custom ATmega2560 SMD board, a Lora module, a GSM modem, a power supply, and a connection to a customized cloud server, enables authorized operators and authorities to view critical alerts and analytics produced by the integrated machine learning algorithm during the online condition tracking of Automotive Profile Extrusion Machines in the automotive industry's sealing process.
3. The system as claimed in claim 1, wherein both of the motes have a custom ATmega2560 SMD Board that is used to manage data acquisition, sensor integration, and communication protocols, these functions are essential for the smooth operation and integration of different parts in the online condition tracking innovation for Automotive Profile Extrusion Machines in the automotive industry's sealing process.
4. The system as claimed in claim 1, wherein the LoRa Module, which is integrated into both of the motes, enables real-time data transmission between the sensor-equipped motes (LPSCT_APETMote and LPSCT_APERMote) and the customized cloud server, enabling effective online condition tracking of Automotive Profile Extrusion Machines in the sealing process within the automobile industry.
5. The system as claimed in claim 1, wherein the LPSCT_APETMote, which is equipped with sensors for acceleration, temperature, pressure, and vibration, allows for the comprehensive real-time data collection of vital parameters during the sealing process of Automotive Profile Extrusion Machines, these inputs are crucial for the machine learning algorithm and guarantee precise online condition tracking in the automotive sector.
6. The system as claimed in claim 1, wherein for seamless remote access to critical alerts and analytics generated during the online condition tracking of Automotive Profile Extrusion Machines in the sealing process within the automobile industry, the integrated GSM modem in the LPSCT_APERMote improves connectivity by enabling communication with a customized cloud server.
7. The system as claimed in claim 1, wherein the TFT Display integrated into the LPSCT_APERMote serves as a local interface for operators and authorities to monitor real-time data produced by the online condition tracking system for Automotive Profile Extrusion Machines used in the sealing process in the automotive industry, it also provides on-site visualization of critical alerts and analytics.
8. The system as claimed in claim 1, wherein to ensure dependable and continuous operation, the Power Supply, which is a plug-in component for both the LPSCT_APETMote and LPSCT_APERMote, provides the energy required for the integrated sensors, communication

modules, and processing units, this keeps the online condition tracking innovation for Automotive Profile Extrusion Machines in the sealing process within the automotive industry functional.

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