SX1278 RF REMOTE HEALTH TRACKING SYSTEM FOR HYDRAULIC RAM EXTRUSION IN DIE MANUFACTURING PLANTS

Abstract

A SX1278 rf remote health tracking system for hydraulic ram extrusion in die manufacturing plants comprises RHTTM_HREMote (10) is used to facilitate real-time data acquisition through advanced sensors and uses the SX1278 RF Module for wireless transmission, enabling remote health tracking of hydraulic ram extrusion in die manufacturing plants, it is equipped with an ATmega32 MCU Board (10G), an SX1278 RF Module (10D), a Temperature Sensor (10C), a Vibration Sensor (10B), a Pressure Sensor (10F), a Humidity Sensor (10E), and a Power Supply (10A) the RHTRM_HREMote is used to incorporate Wi-Fi connectivity through the NuttyFi Wifi Module and features an HMI Display, enhancing the monitoring capabilities and offering an alternate data transmission method for comprehensive remote health tracking of hydraulic ram extrusion in die manufacturing plants, it is equipped with an ATmega32 MCU Board, SX1278 RF Module, HMI Display, and Power Supply.

Specification

Description:FIELD OF THE INVENTION
This invention relates to sx1278 rf remote health tracking system for hydraulic ram extrusion in die manufacturing plants.
BACKGROUND OF THE INVENTION
This state-of-the-art remote health tracking system offers a sophisticated real-time monitoring and analysis solution for hydraulic ram extrusion in die production operations. Using a combination of wireless communication technology and cutting-edge sensors, the system logs critical temperature, vibration, pressure, and humidity data during the extrusion process. This data is easily transferred to a specialized cloud server, where it is processed and analyzed using a pre-programmed machine learning algorithm. Operators are provided with a comprehensive view of the state of the system by means of an intuitive web dashboard and a local TFT display, which present the results.
The problem of efficient and remote health monitoring in hydraulic ram extrusion operations in die production facilities is addressed by this innovation. The issue that has been observed arises from these processes' historical lack of real-time visibility, which makes it challenging to quickly recognize and resolve possible problems. Inefficiencies, increased downtime, and less-than-ideal performance are the results.
US9114447B2: An extrusion press includes an end platen, a fixed platen arranged at the rear thereof, a tie rod configured to link the end platen and the fixed platen, a die, a container loaded with a billet, an extrusion stem configured to press the billet, a crosshead attached with the extrusion stem, and an extrusion drive configured to reciprocate the extrusion stem. The extrusion drive includes a rotatable wire drum driven by an electric extrusion main motor and drives the extrusion stem to perform extrusion molding by winding the wire by rotating the wire drum.
RESEARCH GAP: Wireless health tracking of Hydraulic Ram Extrusion using SX1278 and IoT based solution is the novelty of the system.
CN102652040B: Disclosed is a fully electric extrusion press with reduced power consumption, improved maintainability and usability, and a reduced negative impact on the environment. Said extrusion press is provided with an end platen, a fixed platen disposed behind the end platen, a tie rod that couples the end platen to the fixed platen, a die, a container filled with billet, an extrusion stem that presses on the billet, a cross head to which the extrusion stem is attached, and an extrusion drive device that drives the extrusion stem back and forth. The extrusion drive device is provided with a rotatable wire drum driven by an electric main extrusion motor. Extrusion molding is performed by rotating the wire drum and taking up wire, thereby driving the extrusion stem.
RESEARCH GAP: Wireless health tracking of Hydraulic Ram Extrusion using SX1278 and IoT based solution 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.
This innovation's functionality centers on the smooth integration of cloud computing, machine learning, wireless communication technologies (RF and Wi-Fi), sensor data, and cloud computing. An ATmega32 MCU Board and a variety of sensors, including pressure, vibration, temperature, and humidity, are included with the RHTTM_HREMote. These sensors record information about the hydraulic ram extrusion process's health in real time. This data is wirelessly transmitted to a cloud server that is specially designed for this breakthrough thanks to the SX1278 RF Module. The power supply makes sure that the system runs continuously. The focus is on using RF technology to transmit data remotely so that the hydraulic ram extrusion system may be continuously monitored.
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.
This innovation's functionality centers on the smooth integration of cloud computing, machine learning, wireless communication technologies (RF and Wi-Fi), sensor data, and cloud computing. An ATmega32 MCU Board and a variety of sensors, including pressure, vibration, temperature, and humidity, are included with the RHTTM_HREMote. These sensors record information about the hydraulic ram extrusion process's health in real time. This data is wirelessly transmitted to a cloud server that is specially designed for this breakthrough thanks to the SX1278 RF Module. The power supply makes sure that the system runs continuously. The focus is on using RF technology to transmit data remotely so that the hydraulic ram extrusion system may be continuously monitored.
Similar to the RHTTM_HREMote, the RHTRM_HREMote also uses an SX1278 RF Module and an ATmega32 MCU Board. On the other hand, it adds new components, such as an HMI display and the NuttyFi wifi module. The integration of Wi-Fi technology expands the range of connectivity choices by offering a different way to send data to the cloud server. In order to provide operators with instant access to critical information, the HMI Display functions as a local interface for viewing the collected data. The overall objective of both halves is to use Internet of Things (IoT)-based cloud technologies to send the gathered data to a customized cloud server. Data is analyzed by a pre-programmed machine learning algorithm once it is in the cloud. The analysis's findings, which include analytics, crucial alerts, and trending data charts, are then viewable on a TFT display and an intuitive web interface. As operators log onto their accounts, this makes it easier to monitor the hydraulic ram extrusion process remotely in real time.
BEST METHOD OF WORKING
The RHTTM_HREMote is used to facilitate real-time data acquisition through advanced sensors and uses the SX1278 RF Module for wireless transmission, enabling remote health tracking of hydraulic ram extrusion in die manufacturing plants. It is equipped with an ATmega32 MCU Board, an SX1278 RF Module, a Temperature Sensor, a Vibration Sensor, a Pressure Sensor, a Humidity Sensor, and a Power Supply.
The RHTRM_HREMote is used to incorporate Wi-Fi connectivity through the NuttyFi Wifi Module and features an HMI Display, enhancing the monitoring capabilities and offering an alternate data transmission method for comprehensive remote health tracking of hydraulic ram extrusion in die manufacturing plants. It is equipped with an ATmega32 MCU Board, SX1278 RF Module, HMI Display, and Power Supply.
The ATmega32 MCU Board, which is integrated into both motes, is utilized to coordinate the gathering of data from multiple sensors and to guarantee smooth communication with RF and Wi-Fi modules. This allows for the integrated and effective remote health monitoring of hydraulic ram extrusion in die manufacturing facilities.
The SX1278 RF Module, which is also included in both motes, allows real-time data from sensors to be wirelessly transmitted to a customized cloud server. This allows for the remote monitoring of hydraulic ram extrusion in die production facilities.
The temperature, vibration, pressure, and humidity sensors-all of which are connected to the RHTTM_HREMote-combine to provide vital real-time data that permits thorough observation and analysis of the hydraulic ram extrusion process, guaranteeing early detection of abnormalities and optimization in die manufacturing facilities.
RHTRM_HREMote's embedded NuttyFi Wifi Module is utilized to enable an additional Wi-Fi data transmission mode and to extend RHTRM_HREMote's capabilities for thorough remote health surveillance of hydraulic ram extrusion in die manufacturing facilities.
The RHTRM_HREMote-interfaced HMI Display is utilized to improve operator accessibility and provide local viewing of real-time data, allowing for quick insights into the functionality and performance of hydraulic ram extrusion in die manufacturing facilities.

ADVANTAGES OF THE INVENTION
1. This creative solution relies heavily on the RHTTM_HREMote, which uses the SX1278 RF Module for wireless transmission and advanced sensors to enable real-time data collecting. This makes it possible to remotely monitor the hydraulic ram extrusion in die manufacturing facilities.
2. The RHTRM_HREMote, which incorporates an HMI Display and integrates Wi-Fi networking through the NuttyFi Wifi Module, is essential to the advancement of this innovation. These improvements provide an alternate approach for thorough remote health tracking of hydraulic ram extrusion in die manufacturing facilities, in addition to improving monitoring capabilities.
3. The ability to wirelessly transfer real-time data from sensors to a specialized cloud server is made possible by the SX1278 RF Module, which is essential to the success of this innovation. This feature makes it easier to track the hydraulic ram extrusion in die manufacturing operations remotely.
4. The pressure, humidity, vibration, and temperature sensors all provide insightful real-time data to this innovation. With the use of this data, die manufacturing facilities may optimize their processes and detect irregularities early on in the hydraulic ram extrusion process.
5. This innovation's NuttyFi Wifi Module greatly improves connectivity, making Wi-Fi an alternate means of data transmission. The RHTRM_HREMote's expanded functionality helps manufacturing facilities that produce dies by enabling thorough remote health tracking of hydraulic ram extrusion.
6. This cutting-edge system's HMI Display is an essential interface that offers local real-time data visualization and improves operator accessibility for prompt insights into the functionality and health of hydraulic ram extrusion in die production facilities.
, Claims:1. A SX1278 rf remote health tracking system for hydraulic ram extrusion in die manufacturing plants comprises RHTTM_HREMote (10) is used to facilitate real-time data acquisition through advanced sensors and uses the SX1278 RF Module (15C) for wireless transmission, enabling remote health tracking of hydraulic ram extrusion in die manufacturing plants, it is equipped with an ATmega32 MCU Board (10G), an SX1278 RF Module (10D), a Temperature Sensor (10C), a Vibration Sensor (10B), a Pressure Sensor (10F), a Humidity Sensor (10E), and a Power Supply (10A).
2. The system as claimed in claim 1, wherein the RHTRM_HREMote is used to incorporate Wi-Fi connectivity through the NuttyFi Wifi Module and features an HMI Display, enhancing the monitoring capabilities and offering an alternate data transmission method for comprehensive remote health tracking of hydraulic ram extrusion in die manufacturing plants, it is equipped with an ATmega32 MCU Board, SX1278 RF Module, HMI Display, and Power Supply.
3. The system as claimed in claim 1, wherein the ATmega32 MCU Board, which is integrated into both motes, is utilized to coordinate the gathering of data from multiple sensors and to guarantee smooth communication with RF and Wi-Fi modules, this allows for the integrated and effective remote health monitoring of hydraulic ram extrusion in die manufacturing facilities.
4. The system as claimed in claim 1, wherein the SX1278 RF Module, which is also included in both motes, allows real-time data from sensors to be wirelessly transmitted to a customized cloud server, this allows for the remote monitoring of hydraulic ram extrusion in die production facilities.
5. The system as claimed in claim 1, wherein the temperature, vibration, pressure, and humidity sensors all of which are connected to the RHTTM_HREMote combine to provide vital real-time data that permits thorough observation and analysis of the hydraulic ram extrusion process, guaranteeing early detection of abnormalities and optimization in die manufacturing facilities.
6. The system as claimed in claim 1, wherein RHTRM_HREMote's embedded NuttyFi Wifi Module is utilized to enable an additional Wi-Fi data transmission mode and to extend RHTRM_HREMote's capabilities for thorough remote health surveillance of hydraulic ram extrusion in die manufacturing facilities.
7. The system as claimed in claim 1, wherein the RHTRM_HREMote-interfaced HMI Display is utilized to improve operator accessibility and provide local viewing of real-time data, allowing for quick insights into the functionality and performance of hydraulic ram extrusion in die manufacturing facilities.

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