IOT-BASED REMOTE CONDITION MONITORING OF FIXED GANTRY MILLING MACHINE IN STEEL PLANTS WITH CLOUD LOGGER

Abstract

An iot-based remote condition monitoring of fixed gantry milling machine in steel plants with cloud logger comprises IRCFT_FGMMote (10) which is outfitted with an ATmega32 MCU Board, GSM Modem (20), Touch Temperature Sensor (60), Vibration Sensor (50), Accelerometer (40), and Power Supply (30) is utilized to facilitate real-time data acquisition from various sensors on fixed gantry milling machines and to enable seamless transmission to a specialized cloud server for analysis and remote monitoring the ATmega32 MCU Board, which is integrated into IRCFT_FGMMote, serves as the primary control unit, it coordinates data processing and promotes smooth sensor transmission, allowing for accurate observation and examination of fixed gantry milling machines in steel factories.

Specification

Description:FIELD OF THE INVENTION
This invention relates to iot-based remote condition monitoring of fixed gantry milling machine in steel plants with cloud logger.
BACKGROUND OF THE INVENTION
This development uses cloud-based technologies and IoT technology to revolutionize remote monitoring of stationary gantry milling equipment in steel factories. It makes it easier to gather data instantly from sensors on the milling machines that record temperature, vibrations, and accelerations. The collected data is then seamlessly transferred to a specialized cloud server, where a machine learning algorithm extensively examines it to identify trends, patterns, and any problems.
There are significant shortcomings in the condition monitoring systems now in use for fixed gantry milling machines in steel plants, which can lead to dangers and operational inefficiencies. Real-time capabilities are sometimes absent from conventional monitoring methods, which make it difficult to provide thorough insights into crucial metrics such as temperature, vibrations, and accelerations. This shortcoming makes it difficult to detect problems in a timely manner and makes preventative maintenance more difficult.
CN209954189U: The utility model discloses a longmen numerical control bull drilling and milling machine relates to the machining field, and the device includes lathe bed, workstation, main shaft system and separates the fender subassembly, and the workstation is located the top of lathe bed, the workstation is the transmission under the drive of driving piece, the main shaft system is located the one end of workstation, and two at least edges the brill that workstation width direction set up at the interval side by side mills the unit head, brill mills the processing that the unit head is used for the work piece, it includes an at least fender board to separate the fender subassembly, separate the fender board and follow the length direction of workstation sets up, per two all be equipped with one between the brill mills the unit head separate the fender board. The utility model provides a longmen numerical control bull milling and drilling machine is equipped with and contains the main shaft system that has a plurality of brill milling cutter heads and each brill milling cutter head has independent work interval, has solved the lower problem of milling and drilling machine machining efficiency.
RESEARCH GAP: A steel plant innovation through IoT integration for condition monitoring of Fixed Gantry Milling Machine is the novelty of the system.
CN109551016A: The invention discloses a kind of for processing the numerical control gantry Finish Milling Machine of straight-bar machines pedestal, comprising: lathe bed, table mechanism, two mainshaft mechanisms and control device, table mechanism are slidably arranged on lathe bed, and straight-bar machines pedestal to be processed is driven to move along lathe bed; Two mainshaft mechanisms are symmetricly set on lathe bed two sides, mainshaft mechanism includes heel post, oblique column, main shaft, spindle box, spindle motor, heel post is connected to lathe bed side, oblique column is slidably arranged on heel post, spindle box is slidably arranged on the installation inclined-plane of oblique column, the feed motion of main shaft may be implemented by horizontal and inclination both direction adjusting, after main spindle's are fixed, spindle motor drives main shaft to rotate in spindle box; Control device, control device are mounted in the control cabinet of the lathe bed. The present invention can carry out Automatic Control, high-efficient, precision is high, at low cost, and may be implemented to carry out simultaneous processing to straight-bar machines pedestal different angle, different sides.
RESEARCH GAP: A steel plant innovation through IoT integration for condition monitoring of Fixed Gantry Milling 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.
This innovation maximizes the effectiveness and efficiency of remote condition monitoring in steel plants by integrating machine learning, cloud-based solutions, and IoT technologies. The system consists of the IRCFT_FGMMote, a central unit that has a GSM modem, an accelerometer, a touch temperature sensor, a vibration sensor, a power supply, and an ATmega32 MCU board. The process starts with sensors collecting real-time data from stationary gantry milling machines in a steel facility. These sensors include the Touch Temperature Sensor, Vibration Sensor, and Accelerometer. These sensors record critical machine performance metrics like accelerations, vibrations, and temperature changes. The GSM modem, which is specifically engineered to fulfill the demands of this innovation, is then used to transfer the gathered data to a customized cloud server.
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 maximizes the effectiveness and efficiency of remote condition monitoring in steel plants by integrating machine learning, cloud-based solutions, and IoT technologies. The system consists of the IRCFT_FGMMote, a central unit that has a GSM modem, an accelerometer, a touch temperature sensor, a vibration sensor, a power supply, and an ATmega32 MCU board. The process starts with sensors collecting real-time data from stationary gantry milling machines in a steel facility. These sensors include the Touch Temperature Sensor, Vibration Sensor, and Accelerometer. These sensors record critical machine performance metrics like accelerations, vibrations, and temperature changes. The GSM modem, which is specifically engineered to fulfill the demands of this innovation, is then used to transfer the gathered data to a customized cloud server.
When the data gets to the server, it is processed using a pre-programmed machine learning (ML) algorithm. By processing the data and extracting valuable insights, this machine learning system makes it easier to spot patterns, trends, and abnormalities in the behavior of the milling machines. Operators can obtain a full understanding of milling machine performance by viewing the data patterns over time on a web dashboard featuring a customizable user interface, which presents the analysis results. Critical alerts and analytics are integrated into the dashboard, enabling operators to take preventive action and react quickly to possible problems. With their accounts, operators can safely access the dashboard, guaranteeing an easy-to-use interface for remote management and monitoring. By giving operators access to real-time data, this system encourages proactive maintenance and reduces downtime by empowering them to make well-informed decisions.
BEST METHOD OF WORKING
To improve the overall effectiveness and efficiency of the condition monitoring system in steel plants, the IRCFT_FGMMote-which is outfitted with an ATmega32 MCU Board, GSM Modem, Touch Temperature Sensor, Vibration Sensor, Accelerometer, and Power Supply-is utilized to facilitate real-time data acquisition from various sensors on fixed gantry milling machines and to enable seamless transmission to a specialized cloud server for analysis and remote monitoring.
The ATmega32 MCU Board, which is integrated into IRCFT_FGMMote, serves as the primary control unit. It coordinates data processing and promotes smooth sensor transmission, allowing for accurate observation and examination of fixed gantry milling machines in steel factories.
Another feature of IRCFT_FGMMote is the GSM modem, which is used to enable dependable wireless communication. This makes it easier to transmit real-time data from the fixed gantry milling machines to a dedicated cloud server for timely analysis and remote monitoring of steel plant operations.
The Touch Temperature Sensor, Vibration Sensor, and Accelerometer are all linked to the IRCFT_FGMMote and work together to record critical variables from stationary gantry milling machines, such as temperature changes, vibrations, and accelerations. This real-time data is vital for thorough monitoring and analysis of steel plant operations.
The Power Supply, which plugs into the IRCFT_FGMMote, is utilized to supply effective electrical energy, ensuring the IRCFT_FGMMote operates continuously and dependably.
ADVANTAGES OF THE INVENTION
1. At the heart of this creative solution is the IRCFT_FGMMote, which allows real-time data gathering from several sensors mounted on stationary gantry milling machines. It makes it easier for this data to be transmitted to a dedicated cloud server, where it is analyzed for remote monitoring. This improves the condition monitoring system's overall efficacy and efficiency in steel facilities.
2. The GSM Modem, which offers dependable wireless connectivity, is essential to this breakthrough. It makes it possible for fixed gantry milling machines to send real-time data in a timely manner to a dedicated cloud server. This feature guarantees effective analysis and remote monitoring, which greatly aids in the seamless running of steel mill operations.
3. The accelerometer, vibration sensor, and touch temperature sensor all worked together to create this discovery. These sensors record vital information from stationary gantry milling machines, including temperature changes, vibrations, and accelerations. They offer vital real-time data that makes thorough monitoring and analysis of steel plant operations possible.
4. The Power Supply is an essential part of this invention since it guarantees the IRCFT_FGMMote's consistent and dependable operation. This makes it easier to gather, transfer, and analyze data continuously, which helps remote condition monitoring for stationary gantry milling machines in steel factories succeed.
, Claims:1. An iot-based remote condition monitoring of fixed gantry milling machine in steel plants with cloud logger comprises IRCFT_FGMMote (10) which is outfitted with an ATmega32 MCU Board, GSM Modem (20), Touch Temperature Sensor (60), Vibration Sensor (50), Accelerometer (40), and Power Supply (30) is utilized to facilitate real-time data acquisition from various sensors on fixed gantry milling machines and to enable seamless transmission to a specialized cloud server for analysis and remote monitoring.
2. The machine as claimed in claim 1, wherein the ATmega32 MCU Board, which is integrated into IRCFT_FGMMote, serves as the primary control unit, it coordinates data processing and promotes smooth sensor transmission, allowing for accurate observation and examination of fixed gantry milling machines in steel factories.
3. The machine as claimed in claim 1, wherein another feature of IRCFT_FGMMote is the GSM modem, which is used to enable dependable wireless communication, this makes it easier to transmit real-time data from the fixed gantry milling machines to a dedicated cloud server for timely analysis and remote monitoring of steel plant operations.
4. The machine as claimed in claim 1, wherein the Touch Temperature Sensor, Vibration Sensor, and Accelerometer are all linked to the IRCFT_FGMMote and work together to record critical variables from stationary gantry milling machines, such as temperature changes, vibrations, and accelerations, this real-time data is vital for thorough monitoring and analysis of steel plant operations.
5. The machine as claimed in claim 1, wherein the Power Supply, which plugs into the IRCFT_FGMMote, is utilized to supply effective electrical energy, ensuring the IRCFT_FGMMote operates continuously and dependably.

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