SX1272 RF EQUIPPED ADDON IOT SOLUTION FOR HEALTH MONITORING OF SWIVEL HEAD MILLING MACHINE FOR ANALYTICS

Abstract

A sx1272 rf equipped addon iot system for health monitoring of swivel head milling machine for analytics comprises ISHM_SHMNode (10) that is equipped with STM32 Processor (10E), SX1272 RF Module (10F), Temperature sensor (10A), Vibration sensor (10B), Accelerometer (10C), Led Indicator (10G) and Power Supply (10D), is utilized for data acquisition, employing developed sensors and wireless communication to acquire real-time information, including temperature, vibrations, and acceleration, from a swivel head milling machine and enabling seamless transmission to a cloud-based platform for comprehensive health monitoring and analytics the ISHM_SHMRNode that is filled with STM32 Processor, SX1272 RF Module, NuttyFi WiFi Board, HMI Display, Buzzer and Power Supply, is utilizing its WiFi connectivity, HMI Display, and Buzzer to receive, process, and display a analyzed information from the ISHM_SHMNode, providing local tracking and immediate alerts for users overseeing the health of the swivel head milling machine.

Specification

Description:FIELD OF THE INVENTION
This invention relates to sx1272 rf equipped addon iot solution for health monitoring of swivel head milling machine for analytics.
BACKGROUND OF THE INVENTION
This ground-breaking development in industrial monitoring offers a sophisticated way to assess the health of swivel head milling machines in real time. Through the use of a network of cutting-edge sensors and wireless communication technology, the system reliably gathers vital information on temperature, acceleration, and vibrations while the milling machine is in operation. The collected data is easily sent to a cloud-based platform, where real-time analysis of the data is performed using pre-trained datasets and algorithms.
The current issue in industrial settings, particularly with regard to swivel head milling machines, is the lack of an all-inclusive, real-time health monitoring system. The sophistication of current monitoring technologies is often insufficient to record and analyze critical metrics like acceleration, vibrations, and temperature. This shortcoming puts machines at risk for malfunctions and hidden problems. Manual monitoring reduces operational efficiency since it takes a lot of time and is prone to human error.
US10239131B2: The present invention 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: A Machine Addon health monitoring solution with SX1272 and IoT Solution for Swivel Head Milling Machine is the novelty of the system.
CN103962602B: Patent of the present invention discloses a kind of numerical control multi-shaft gantry drilling and milling machine tool, including a gantry, is arranged below at described gantry and workpiece can be made at the X-direction of horizontal plane and a lathe bed of Y-direction motion; Described lathe bed is provided with the clamping device for clamping workpiece, the most hard-wired gantry frame in described lathe bed top is provided with gang drill, described gang drill includes multiple drilling-milling apparatus, described drilling-milling apparatus is driven its in the vertical direction to move up and down by two-stage power set, the two-stage realizing vertical range between drilling-milling apparatus and workpiece adjusts, and drilling-milling apparatus is driven it to rotate by same set of driving means. The present invention substantially increases high-volume and bores the operating efficiency of Milling Machining, reduces the gap with advanced country.
RESEARCH GAP: A Machine Addon health monitoring solution with SX1272 and IoT Solution for 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.
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 two primary parts of the creative method for keeping an eye on the health of a swivel head milling machine are the ISHM_SHMNode and the ISHM_SHMRNode, each of which has a different purpose. The STM32 Processor, SX1272 RF Module, and several sensors, such as an accelerometer, vibration sensor, and temperature sensor, are all included in the ISHM_SHMNode's configuration. This node is in charge of gathering data from the milling machine in real time, including temperature, acceleration, and vibrations. The SX1272 RF Module wirelessly transmits the gathered data, guaranteeing smooth system connectivity. On the other hand, the ISHM_SHMRNode is essential to receive the data that has been transmitted. It has an HMI Display for local monitoring, a Buzzer for instant notifications, and a NuttyFi WiFi Board for networking. Local operators can monitor the milling machine's health status in real-time thanks to the HMI Display, which displays the data processed by the STM32 Processor in this node. The Buzzer is incorporated as an alert system to tell operators immediately if any serious problems are found with the milling machine.
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 two primary parts of the creative method for keeping an eye on the health of a swivel head milling machine are the ISHM_SHMNode and the ISHM_SHMRNode, each of which has a different purpose. The STM32 Processor, SX1272 RF Module, and several sensors, such as an accelerometer, vibration sensor, and temperature sensor, are all included in the ISHM_SHMNode's configuration. This node is in charge of gathering data from the milling machine in real time, including temperature, acceleration, and vibrations. The SX1272 RF Module wirelessly transmits the gathered data, guaranteeing smooth system connectivity. On the other hand, the ISHM_SHMRNode is essential to receive the data that has been transmitted. It has an HMI Display for local monitoring, a Buzzer for instant notifications, and a NuttyFi WiFi Board for networking. Local operators can monitor the milling machine's health status in real-time thanks to the HMI Display, which displays the data processed by the STM32 Processor in this node. The Buzzer is incorporated as an alert system to tell operators immediately if any serious problems are found with the milling machine.
This innovation's cloud-based design is its fundamental component. A dedicated cloud server created for this purpose receives the data gathered from the ISHM_SHMNode. In the cloud, preconfigured algorithms and training datasets analyze the incoming data, providing useful insights into the general health and performance of the Swivel Head Milling Machine. Alerts and trend analysis are among the useful information produced from these insights. Through two interfaces, operators and authorities can access this data. Locally, real-time input is available via the ISHM_SHMRNode's HMI Display, allowing for quick responses to the machine's status. In addition, remote management and monitoring are possible via an Internet-connected customizable web dashboard. Using the generated alarms and analytics, the web dashboard provides a thorough picture of the machine's health, allowing for trend analysis and well-informed decision-making.
BEST METHOD OF WORKING
The ISHM_SHMNode that is equipped with STM32 Processor, SX1272 RF Module, Temperature sensor, Vibration sensor, Accelerometer, Led Indicator and Power Supply, is utilized for data acquisition, employing developed sensors and wireless communication to acquire real-time information, including temperature, vibrations, and acceleration, from a swivel head milling machine and enabling seamless transmission to a cloud-based platform for comprehensive health monitoring and analytics.
The ISHM_SHMRNode that is filled with STM32 Processor, SX1272 RF Module, NuttyFi WiFi Board, HMI Display, Buzzer and Power Supply, is utilizing its WiFi connectivity, HMI Display, and Buzzer to receive, process, and display a analyzed information from the ISHM_SHMNode, providing local tracking and immediate alerts for users overseeing the health of the swivel head milling machine.
The STM32 Processor, integrated into both nodes, is responsible for data processing, easing the execution of algorithms for the swivel head milling machine's real-time health monitoring, and guaranteeing smooth communication.
The ISHM_SHMNode and ISHM_SHMRNode may transmit data to one other wirelessly thanks to the SX1272 RF Module, which is likewise integrated into both nodes. This allows for smooth connectivity for real-time swivel head milling machine health monitoring.
The temperature, vibration, and accelerometer sensors-all of which are connected to the ISHM_SHMNode-combine to record important machine parameters. This comprehensive data is used for the swivel head milling machine's real-time health monitoring, allowing for the early detection of anomalies and assisting with preventative maintenance plans.
The ISHM_SHMRNode's integrated NuttyFi WiFi Board is used to support remote health monitoring and management of the swivel head milling machine via a web dashboard, enable seamless internet connectivity, and allow the transmission of analyzed data to a customized cloud server.
To improve on-site decision-making and response capabilities, the ISHM_SHMRNode-interfaced HMI Display is employed to give operators real-time visual input on the health status of the swivel head milling machine.
ADVANTAGES OF THE INVENTION
1. This ground-breaking system's ISHM_SHMNode serves as the primary data gathering hub, leveraging wireless connectivity and sophisticated sensors to collect real-time data from a swivel head milling machine, including temperature, vibrations, and acceleration. It guarantees that this data is transmitted to a cloud-based platform for extensive analytics and health monitoring in a smooth manner.
2. The ISHM_SHMRNode functions as a central processing unit that receives, processes, and displays the analyzed data that it receives from the ISHM_SHMNode. It does this by using its WiFi connectivity, HMI Display, and Buzzer. This feature allows operators to check the swivel head milling machine's health locally and receive instant alerts.
3. As the foundation of wireless communication, the SX1272 RF Module is essential in enabling data transfer between the ISHM_SHMNode and ISHM_SHMRNode. This feature guarantees uninterrupted connectivity for the swivel head milling machine's real-time health monitoring.
4. The temperature, vibration, and accelerometer sensors are all integrated into the ISHM_SHMNode and together they record critical machine information. This link offers thorough data for the swivel head milling machine's real-time health monitoring, facilitating the early identification of anomalies and supporting preventative maintenance plans.
5. The ISHM_SHMRNode's NuttyFi WiFi Board allows for smooth internet access, making it easier to send processed data to a personalized cloud server. With the use of a web dashboard, this capability enables remote health monitoring and management of the swivel head milling machine.
6. The HMI Display in the ISHM_SHMRNode functions as a local user interface, giving operators real-time visual input to track the condition of the swivel head milling machine. This improves the ability to make decisions and respond on the spot.
, Claims:1. A sx1272 rf equipped addon iot system for health monitoring of swivel head milling machine for analytics comprises ISHM_SHMNode (10) that is equipped with STM32 Processor (10E), SX1272 RF Module (10F), Temperature sensor (10A), Vibration sensor (10B), Accelerometer (10C), Led Indicator (10G) and Power Supply (10D), is utilized for data acquisition, employing developed sensors and wireless communication to acquire real-time information, including temperature, vibrations, and acceleration, from a swivel head milling machine and enabling seamless transmission to a cloud-based platform for comprehensive health monitoring and analytics.
2. The system as claimed in claim 1, wherein the ISHM_SHMRNode that is filled with STM32 Processor, SX1272 RF Module, NuttyFi WiFi Board, HMI Display, Buzzer and Power Supply, is utilizing its WiFi connectivity, HMI Display, and Buzzer to receive, process, and display a analyzed information from the ISHM_SHMNode, providing local tracking and immediate alerts for users overseeing the health of the swivel head milling machine.
3. The system as claimed in claim 1, wherein the STM32 Processor, integrated into both nodes, is responsible for data processing, easing the execution of algorithms for the swivel head milling machine's real-time health monitoring, and guaranteeing smooth communication.
4. The system as claimed in claim 1, wherein the ISHM_SHMNode and ISHM_SHMRNode may transmit data to one other wirelessly thanks to the SX1272 RF Module, which is likewise integrated into both nodes, this allows for smooth connectivity for real-time swivel head milling machine health monitoring.
5. The system as claimed in claim 1, wherein the temperature, vibration, and accelerometer sensors all of which are connected to the ISHM_SHMNode combine to record important machine parameters, this comprehensive data is used for the swivel head milling machine's real-time health monitoring, allowing for the early detection of anomalies and assisting with preventative maintenance plans.
6. The system as claimed in claim 1, wherein the ISHM_SHMRNode's integrated NuttyFi WiFi Board is used to support remote health monitoring and management of the swivel head milling machine via a web dashboard, enable seamless internet connectivity, and allow the transmission of analyzed data to a customized cloud server.
7. The system as claimed in claim 1, wherein to improve on-site decision-making and response capabilities, the ISHM_SHMRNode-interfaced HMI Display is employed to give operators real-time visual input on the health status of the swivel head milling machine.

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