SYSTEM OF FFT ANALYTICS FOR SWIVEL HEAD MILLING MACHINE THROUGH VIBRATION AND TEMPERATURE TRENDS FOR ENHANCED INDUSTRIAL MAINTENANCE

Abstract

A system of FFT analytics for swivel head milling machine through vibration and temperature trends for enhanced industrial maintenance comprises a FFTA_SGMCMote (100), an ATmega64 MCU Board (107), an ESP01 Wifi Board (101), a vibration sensor (106), a temperature sensor (105), a piezo buzzer (103), an HMI display (102), and a power supply (104). The ATmega64 MCU Board is used to coordinate the operation of different FFTA_SGMCMote components, guaranteeing smooth integration and efficient administration of data gathering, transmission, and analytics for improved Swivel Head Milling Machine monitoring and maintenance. To enable internet connectivity, the FFTA_SGMCMote's integrated ESP01 Wifi Board is used; said board serves as a vital link for remote monitoring and preventive maintenance of Swivel Head Milling Machines, as well as a smooth means of transmitting temperature and vibration data to a customized cloud server for real-time analytics.

Specification

Description:FIELD OF THE INVENTION
This invention relates to a system of FFT analytics for swivel head milling machine through vibration and temperature trends for enhanced industrial maintenance.
BACKGROUND OF THE INVENTION
The goal of this invention is to address the problems that come with using traditional techniques to maintain and monitor swivel head milling machines in industrial settings. The drawbacks of conventional methods frequently show themselves as a lack of real-time visibility into the machine's functioning, making it challenging to identify possible problems in advance before they become costly breakdowns. Without an all-encompassing monitoring system, operators and maintenance staff can miss important signs of wear, inefficiency, or abnormalities in temperature and vibration patterns.
US10239131B2 relates to embodiments of a machine tool, in particular a multi-spindle milling machine, comprise a machine frame, a workpiece clamping device for clamping a workpiece, an axis slide assembly arranged on the machine frame, and a spindle carrier assembly which is arranged on the machine frame and has at least two tool-carrying work spindles. The axis slide assembly is configured to linearly move the workpiece clamped at the workpiece clamping device by way of three controllable linear axes X, Y and Z. The work spindles are arranged at a turret which can be rotated or swiveled about a turret axis at respectively equal distance from the turret axis, and the spindle axes of the work spindles are aligned or can be aligned in parallel to one another and in parallel to the turret axis.
Research Gap: An IoT and Cloud equipped solution for FFT analysis of Swivel Head Milling Machine is the novelty of the system.
US9970164B2 A construction machine apparatus includes a plurality of ground engaging supports, a machine frame supported from the ground engaging supports and a milling drum supported from the machine frame. A milling drum location detection system is configured to determine a drum location in an external reference system. A location indicator system includes a memory configured to store information identifying a location of one or more areas to be avoided in the external reference system, and a controller configured to compare the drum location to the location of the one or more areas to be avoided, and to provide an output corresponding to a proximity of the milling drum to the location of the one or more areas to be avoided.
Research Gap: An IoT and Cloud equipped solution for FFT analysis of Swivel Head Milling Machine is the novelty of the system. None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to An IoT and Cloud equipped solution for FFT analysis of Swivel Head 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.
This innovative development offers a sophisticated method for managing and monitoring Swivel Head Milling Machines by fusing cloud and Internet of Things technologies. Vibration and temperature sensors are positioned strategically so that the system continuously gathers vital information related to the machine's performance. The collected data is easily sent to a cloud server for advanced analytics, including Fourier Transform Analysis (FFT), to examine trends, patterns, and potential anomalies. The results are graphically displayed on a web dashboard and a local interface, providing operators and remote staff with immediate access to information about the machine's state.
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.
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 creative solution, FFTA_SGMCMote, offers an organized method for data transfer, collecting, analysis, and visualization, making it easier to monitor and maintain swivel head milling machines effectively. The ATmega64 MCU Board is at the center of this system, controlling the actions of several parts. Temperature and vibration sensors are used to collect data on the performance of the milling machine continuously. This data is transmitted to a specialized cloud server via the ESP01 WiFi Board, and is then processed using Fourier Transform Analysis (FFT) algorithms to provide detailed vibration and temperature trend insights.
When the data reaches the cloud server, it undergoes extensive trending and analytics, which provide insightful information about the machine's behavior and help identify any anomalies or possible problems. The HMI Display shows the results in real time and gives operators a local interface to check on the condition of the machine. In addition, a personalized online dashboard facilitates remote access, allowing maintenance staff to oversee tasks effectively. Beyond display, the system's intelligence includes programmed fit analysis algorithms that actively compare gathered data to predetermined standards. The system sounds an alert when there are anomalies or departures from standard operating procedures. Locally, an audible indication is provided by a piezo buzzer, and the operator and pertinent authorities receive email notifications. This proactive strategy reduces the chance of unplanned equipment failures by enabling prompt intervention and preventative maintenance procedures.
ADVANTAGES OF THE INVENTION
1. By combining cloud, sophisticated analytics, and IoT technologies, the FFTA_SGMCMote plays a pivotal role in this novel approach. Through early anomaly detection and timely preventive maintenance, this integration allows for the real-time monitoring of Swivel Head Milling Machines, improving operational efficiency.
2. The ESP01 WiFi Board provides internet access to the FFTA_SGMCMote, enabling the smooth transfer of temperature and vibration data recorded to a personalized cloud server. This feature creates a crucial connection for remote monitoring and preventative maintenance of Swivel Head Milling Machines and permits real-time analytics.
3. The FFTA_SGMCMote innovation's vibration sensor is crucial to the ongoing collection of vital information about the functionality of swivel head milling machines. Real-time monitoring, preemptive maintenance action facilitation, and early issue diagnosis through thorough FFT analytics are all made possible by this functionality.
4. An essential part of the FFTA_SGMCMote innovation's monitoring system for swivel head milling machines is the Temperature Sensor. In addition to supporting the system's advanced analytics for ideal maintenance and operating efficiency, real-time temperature data allows for the early detection of anomalous trends.
5. The FFTA_SGMC's HMI DisplayAs a local interface, Mote Innovation provides operators with real-time alarms, machine status, and analytics visualization. This function improves on-site monitoring and speeds up decision-making for maintenance on swivel head milling machines.
, Claims:A system of FFT analytics for swivel head milling machine through vibration and temperature trends for enhanced industrial maintenance comprises a FFTA_SGMCMote (100), an ATmega64 MCU Board (107), an ESP01 Wifi Board (101), a vibration sensor (106), a temperature sensor (105), a piezo buzzer (103), an HMI display (102), and a power supply (104).
2. The system as claimed in claim 1, wherein ATmega64 MCU Board is used to coordinate the operation of different FFTA_SGMCMote components, guaranteeing smooth integration and efficient administration of data gathering, transmission, and analytics for improved Swivel Head Milling Machine monitoring and maintenance.
3. The system as claimed in claim 1, wherein to enable internet connectivity, the FFTA_SGMCMote's integrated ESP01 Wifi Board is used; said board serves as a vital link for remote monitoring and preventive maintenance of Swivel Head Milling Machines, as well as a smooth means of transmitting temperature and vibration data to a customized cloud server for real-time analytics.
4. The system as claimed in claim 1, wherein the FFTA_SGMCMote's attached vibration sensor is used to continuously gather vital information about the operation of swivel head milling machines; this information enables proactive maintenance activities, real-time monitoring, and the early identification of possible problems through thorough FFT analytics.
5. The system as claimed in claim 1, wherein Swivel Head Milling Machines are monitored by the Temperature Sensor, which is also connected to the FFTA_SGMCMote; which does this by giving real-time temperature data, facilitating the early detection of anomalous trends, and supporting the system's sophisticated analytics for the best possible maintenance and operational effectiveness.
6. The system as claimed in claim 1, wherein the FFTA_SGMCMote's interfaced HMI Display is utilized to give operators real-time visualization of analytics, machine status, and alarms; which improves on-site monitoring and speeds up decision-making for maintenance on swivel head milling machines.
7. The system as claimed in claim 1, wherein the Power Supply, which plugs into the FFTA_SGMCMote, is utilized to supply all components with the electrical energy they require, guaranteeing dependable and continuous operation for the monitoring and upkeep of Swivel Head Milling Machines.

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