CLOUD-INTEGRATED VIBRATION MONITORING FOR AUTOMOTIVE DIE-CASTING MACHINE IN MANUFACTURING PLANTS

Abstract

A system of cloud-integrated vibration monitoring for automotive die-casting machine in manufacturing plants comprises ATmega64 MCU Board, (70) ESP01 Wifi Board (50), 3 Axis Vibration Sensor (30), Proximity Sensor (40), HMI Display (60), and Power Supply (20) equipped CIVMC_DCMote (10) is used to integrate advanced sensors seamlessly and facilitate real-time data collection, transmission to a dedicated cloud server, and user-friendly interfaces, for complete monitoring, analytics, and predictive maintenance of automotive die-casting machines in manufacturing plants for comprehensive monitoring and analysis of automotive die-casting machines in manufacturing plants, the ATmega64 MCU Board, which is integrated into both of the motes, serves as the core processing unit, it orchestrates the effective integration and execution of advanced sensors, permits real-time data acquisition, and simplifies communication with the cloud server.

Specification

Description:FIELD OF THE INVENTION
This invention relates to cloud-integrated vibration monitoring for automotive die-casting machine in manufacturing plants.
BACKGROUND OF THE INVENTION
This innovative device offers a cutting-edge method for tracking and improving the efficiency of automobile die-casting equipment in production facilities. With the use of cutting-edge sensors, cloud computing, and machine learning algorithms, the system collects vibration and proximity data in real-time, providing critical information on the machine's operating health. A specialized cloud server receives the gathered data efficiently, enabling remote access and analysis. A user-friendly web dashboard makes it simple for operators to monitor the status of the machine, examine comprehensive analytics, and decide how best to optimize efficiency and proactively handle maintenance needs.
The state-of-the-art method for tracking and optimizing the performance of automobile die-casting machinery in manufacturing facilities is shown by this innovative technology. The system collects vibration and proximity data in real-time, providing vital information on the machine's operational health. It does this by utilizing sophisticated sensors, cloud computing, and machine learning algorithms. An analysis and remote access are made possible by the effective transmission of the gathered data to a personal cloud server. With the help of an intuitive web dashboard, operators can quickly check the state of the machine, examine comprehensive analytics, and decide how best to increase productivity and prevent damage before it happens.
BR112013033310B1: Piston for a foundry machine. A piston for a foundry machine is described, in particular with a cooling chamber, comprising a rod extending from a proximal end to a distal end along a piston axis, and a piston head extending from the distal end of the rod and has a side wall with at least one sealing area suitable for forming a seal on the wall of said container containing a press. A suitable lubrication circuit to favor the sliding of the piston comprises first lubrication ducts made in the rod, ending at the distal end of said rod, and second ducts made in the head of the piston, fluidly communicating with said first ducts, exiting in the wall side at least in correspondence with said fenced area.
RESEARCH GAP: A Monitoring solution with cloud integration and logging innovation for Automotive Die-Casting Machine is the novelty of the system.
CA2838549C: A piston for a die-casting machine, in particular with a cold chamber, comprises a stem which extends from a proximal end to a distal end along a piston axis and a piston head which extends from the distal end of the stem and which has a side wall with at least one sealing area suitable to form a seal on the wall of said container of the press. A lubrication circuit suitable for favouring the sliding of the piston comprises first lubrication ducts made in the stem and ending at the distal end of said stem, and second ducts made in the piston head, fluidically communicating with said first ducts and coming out in the lateral wall at least in correspondence with said sealed area.
RESEARCH GAP: A Monitoring solution with cloud integration and logging innovation for Automotive Die-Casting 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 CIVMC_DCMote device is the main component of the structured and networked Cloud-Integrated Vibration Monitoring System for Automotive Die-Casting Machines in Manufacturing Plants. Built on the ATmega64 MCU Board and ESP01 Wifi Board, this gadget acts as the main hub for gathering critical data from various sensors. The inclusion of a 3-axis vibration sensor and a proximity sensor enables the gadget to record comprehensive data regarding the operational state of the machine and its surroundings. After gathering sensor data, the CIVMC_DCMote connects to the chosen cloud server created especially for this invention using the ESP01 WiFi Board. This cloud server is essential to the process of combining and safely storing the gathered data. The use of cloud technology facilitates the deployment of advanced analytics and machine learning algorithms in addition to providing remote access to real-time data.
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 CIVMC_DCMote device is the main component of the structured and networked Cloud-Integrated Vibration Monitoring System for Automotive Die-Casting Machines in Manufacturing Plants. Built on the ATmega64 MCU Board and ESP01 Wifi Board, this gadget acts as the main hub for gathering critical data from various sensors. The inclusion of a 3-axis vibration sensor and a proximity sensor enables the gadget to record comprehensive data regarding the operational state of the machine and its surroundings. After gathering sensor data, the CIVMC_DCMote connects to the chosen cloud server created especially for this invention using the ESP01 WiFi Board. This cloud server is essential to the process of combining and safely storing the gathered data. The use of cloud technology facilitates the deployment of advanced analytics and machine learning algorithms in addition to providing remote access to real-time data.
To assess the streaming data, the invention uses pre-established machine learning methods. These algorithms provide important insights into the die-casting machine's operational health by interpreting patterns, trends, and abnormalities in the vibration and proximity data. The analysis's findings are then displayed via trade data charts, which provide a thorough insight of the machine's performance over time. The innovation has two displays in order to guarantee good user engagement and accessibility. The Human-Machine Interface (HMI) Display functions as an on-site interface, providing manufacturing plant operators with real-time input. Users can simultaneously access a personalized online dashboard via their user credentials. Operators can remotely log in to this dashboard's user-friendly interface to view the analyzed data, monitor the die-casting machine's status, and make decisions based on the insights offered.
BEST METHOD OF WORKING
The ATmega64 MCU Board, ESP01 Wifi Board, 3 Axis Vibration Sensor, Proximity Sensor, HMI Display, and Power Supply equipped CIVMC_DCMote is used to integrate advanced sensors seamlessly and facilitate real-time data collection, transmission to a dedicated cloud server, and user-friendly interfaces, for complete monitoring, analytics, and predictive maintenance of automotive die-casting machines in manufacturing plants.
For comprehensive monitoring and analysis of automotive die-casting machines in manufacturing plants, the ATmega64 MCU Board, which is integrated into both of the motes, serves as the core processing unit. It orchestrates the effective integration and execution of advanced sensors, permits real-time data acquisition, and simplifies communication with the cloud server.
The CIVMC_DCMote's interfaced ESP01 Wifi Board is used to enable wireless connectivity. This makes it easier for real-time sensor data to be seamlessly transmitted from the CIVMC_DCMote to a dedicated cloud server, enabling remote monitoring and analysis of automotive die-casting machines in manufacturing facilities.
Through the CIVMC_DCMote device and cloud-based infrastructure in manufacturing plants, the 3 Axis Vibration Sensor integrated in CIVMC_DCMote is used to capture detailed vibration data from automotive die-casting machines, providing crucial insights for real-time monitoring, analysis, and predictive maintenance.
The on-site interface of the CIVMC_DCMote is enabled by the HMI Display, which gives operators visual access to and interpretation of the data gathered by the device. This improves situational awareness and speeds up decision-making for the best control and management of automotive die-casting machines in manufacturing facilities.
The Power Supply, which plugs into the CIVMC_DCMote, is utilized to power the device continuously and dependably. It supports the integrated components and sensors, allowing data to be collected and transmitted continuously for effective monitoring and analysis of automotive die-casting machines in manufacturing facilities.
ADVANTAGES OF THE INVENTION
1. At the heart of this creative solution is the CIVMC_DCMote, which seamlessly integrates cutting-edge sensors to facilitate real-time data collection, transfer to a specialized cloud server, and intuitive interfaces. Comprehensive monitoring, analytics, and predictive maintenance specifically designed for automotive die-casting machinery in manufacturing facilities are made possible by this combination.
2. This invention's central processing unit, the ATmega64 MCU Board, coordinates the effective execution and integration of cutting-edge sensors. For thorough monitoring and analysis of automobile die-casting equipment in manufacturing facilities, it permits real-time data capture and easy interface with the cloud server.
3. The wireless communication made possible by the ESP01 Wifi Board is essential to this breakthrough as it guarantees the smooth transfer of real-time sensor data from the CIVMC_DCMote to a specialized cloud server. Remote monitoring and analysis of automobile die-casting machinery at manufacturing facilities is ensured by this functionality.
4. A key element of this invention is the 3-Axis Vibration Sensor, which collects precise vibration data from automobile die-casting equipment. This sensor gives industrial facilities the critical information they need for real-time monitoring, analysis, and predictive maintenance via the CIVMC_DCMote device and cloud-based infrastructure.
5. The CIVMC_DCMote's data can be accessed and interpreted visually by operators using the HMI Display, which acts as an on-site, real-time interface. This improves situational awareness and makes quick decisions easier, which helps production plants regulate and run automobile die-casting machines more effectively.
, Claims:1. A system of cloud-integrated vibration monitoring for automotive die-casting machine in manufacturing plants comprises ATmega64 MCU Board, (70) ESP01 Wifi Board (50), 3 Axis Vibration Sensor (30), Proximity Sensor (40), HMI Display (60), and Power Supply (20) equipped CIVMC_DCMote (10) is used to integrate advanced sensors seamlessly and facilitate real-time data collection, transmission to a dedicated cloud server, and user-friendly interfaces, for complete monitoring, analytics, and predictive maintenance of automotive die-casting machines in manufacturing plants.
2. The system as claimed in claim 1, wherein for comprehensive monitoring and analysis of automotive die-casting machines in manufacturing plants, the ATmega64 MCU Board, which is integrated into both of the motes, serves as the core processing unit, it orchestrates the effective integration and execution of advanced sensors, permits real-time data acquisition, and simplifies communication with the cloud server.
3. The system as claimed in claim 1, wherein the CIVMC_DCMote's interfaced ESP01 Wifi Board is used to enable wireless connectivity, this makes it easier for real-time sensor data to be seamlessly transmitted from the CIVMC_DCMote to a dedicated cloud server, enabling remote monitoring and analysis of automotive die-casting machines in manufacturing facilities.
4. The system as claimed in claim 1, wherein through the CIVMC_DCMote device and cloud-based infrastructure in manufacturing plants, the 3 Axis Vibration Sensor integrated in CIVMC_DCMote is used to capture detailed vibration data from automotive die-casting machines, providing crucial insights for real-time monitoring, analysis, and predictive maintenance.
5. The system as claimed in claim 1, wherein the on-site interface of the CIVMC_DCMote is enabled by the HMI Display, which gives operators visual access to and interpretation of the data gathered by the device, this improves situational awareness and speeds up decision-making for the best control and management of automotive die-casting machines in manufacturing facilities.
6. The system as claimed in claim 1, wherein the Power Supply, which plugs into the CIVMC_DCMote, is utilized to power the device continuously and dependably, it supports the integrated components and sensors, allowing data to be collected and transmitted continuously for effective monitoring and analysis of automotive die-casting machines in manufacturing facilities.

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