AN SX1272 RF-EQUIPPED ADD-ON CARD FOR TIMED FFT ANALYSIS OF VIBRATION AND TEMPERATURE IN FIVE-AXIS ABRASIVE WATERJET CUTTER CNC MACHINES WITHIN THE TIMBER INDUSTRY

Abstract

The present invention discloses an SX1272 RF-equipped add-on card for real-time vibration and temperature analysis of five-axis abrasive waterjet cutter CNC machines in the timber industry. The system comprises an SXRFEA_TFFTMote module for data acquisition and wireless transmission, an SXRFEA_TFFRMote module for local visualization and communication, and a cloud server for FFT analysis and alert generation. The invention provides accurate and timely monitoring of critical machine parameters, ensuring efficient and safe operation in the timber industry.

Specification

Description:FIELD OF THE INVENTION
The present invention relates to the field of real-time monitoring and analysis of five-axis abrasive waterjet cutter CNC machines in the timber industry. It specifically addresses the need for accurate and timely monitoring of vibration and temperature parameters to ensure efficient and safe machine operation.
BACKGROUND OF THE INVENTION
Five-axis abrasive waterjet cutter CNC machines are critical equipment in the timber industry, enabling precise and intricate cutting of wood materials. However, these machines are susceptible to performance degradation and potential failures due to factors such as vibration and temperature fluctuations.
Traditional monitoring methods often lack the capability for real-time data analysis, hindering the ability to promptly identify and address potential issues. This limitation can lead to increased maintenance costs, production downtime, and safety hazards for operators.
Therefore, there is a need for an innovative solution that provides real-time monitoring, analysis, and alerts to ensure the optimal performance and safe operation of five-axis abrasive waterjet cutter CNC machines in the timber industry.
Followings are some prior arts to the present invention:
JP2020506068A The technology provided in said prior art is used in sheet glass cutting, with horizontal cutting performed by high pressure focused water, combined with an abrasive element to create holes and notches in the sheet glass, oriented to the industrial sector. See water jet cutting machine. Its unique feature when compared to water jet cutting machines that exist on the market is the possibility of operation in an automated production line with glass shard feeding, automatic face milling and reference. This format meets the demands of the glass market with high productivity and production standardization. The purpose of the present water jet cutting machine is to position tools and machining (holes and holes), especially configured for the functions of cutting head (4), input conveyor belt (2.1) and output conveyor belt (5.1). And / or cutting) using functional movement, in particular by positioning and synchronizing functional movement during drilling or cutting of a particular piece, on or in a sheet glass having several lengths, widths and thicknesses. Making holes by automatic means and making notches.
BR212018003148Y1 Horizontal cutting using high water and abrasive pressure to make holes and cutouts in flat glass sheets, with the great differential over the existing water jet machines, being able to work in automated production line, with feeding, square and automatic referencing with high productivity and standardization of the production process.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed.
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.
The present invention introduces an add-on card equipped with SX1272 RF technology for real-time vibration and temperature analysis of five-axis abrasive waterjet cutter CNC machines in the timber industry. The system comprises two main components: the SXRFEA_TFFTMote and the SXRFEA_TFFRMote.
The SXRFEA_TFFTMote incorporates an STM32 Board, SX1272 RF Module, vibration sensor, temperature sensor, RTC Module, and power supply. It collects real-time vibration and temperature data, transmitting it wirelessly to a dedicated cloud server for analysis.
The SXRFEA_TFFRMote includes an STM32 Board, SX1272 RF Module, ESP8266 Wifi Board, TFT display, and power supply. It provides a local interface for real-time data visualization and facilitates communication with the cloud server.
The collected data is subjected to Fast Fourier Transform (FFT) analysis using machine learning algorithms on the cloud server. The results, including real-time analytics, charts, and critical alarms, are displayed on an on-site HMI display and a user-friendly web dashboard, enabling both local and remote monitoring of machine performance.
To further clarify advantages and features of the present invention, a more particular description of the invention is rendering by reference to specific embodiments thereof, which is illustrated in the appended drawing.
It is appreciated that the drawing depicts only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention is being described and explained with additional specificity and detail with the accompanying drawing.
BRIEF DESCRIPTION OF DRAWINGS
The foregoing detailed description of embodiments is better understood when read in conjunction with the attached drawing. For better understanding, each component is represented by a specific number which is further illustrated as a reference number for the components used with the figures.
Figure 1 represents block diagram of present system
Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the system, one or more components of the system may have been represented in the drawing by conventional symbols, and the drawing may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawing with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
DETAILED DESCRIPTION OF THE INVENTION
For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawing and specific language will be used to describe the same.
It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skilled in the art to which this invention belongs.
Embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
The present invention introduces an add-on card equipped with SX1272 RF technology for real-time vibration and temperature analysis of five-axis abrasive waterjet cutter CNC machines in the timber industry. The system comprises two main components: the SXRFEA_TFFTMote and the SXRFEA_TFFRMote.
The SXRFEA_TFFTMote incorporates an STM32 Board, SX1272 RF Module, vibration sensor, temperature sensor, RTC Module, and power supply. It collects real-time vibration and temperature data, transmitting it wirelessly to a dedicated cloud server for analysis.
The SXRFEA_TFFRMote includes an STM32 Board, SX1272 RF Module, ESP8266 Wifi Board, TFT display, and power supply. It provides a local interface for real-time data visualization and facilitates communication with the cloud server.
The collected data is subjected to Fast Fourier Transform (FFT) analysis using machine learning algorithms on the cloud server. The results, including real-time analytics, charts, and critical alarms, are displayed on an on-site HMI display and a user-friendly web dashboard, enabling both local and remote monitoring of machine performance.
The invention operates through the following key components and processes:
SXRFEA_TFFTMote: This module, equipped with an STM32 Board, SX1272 RF Module, vibration sensor, temperature sensor, RTC Module, and power supply, captures real-time vibration and temperature data from the CNC machine. The SX1272 RF Module enables wireless transmission of this data to the cloud server.
SXRFEA_TFFRMote: This module, comprising an STM32 Board, SX1272 RF Module, ESP8266 Wifi Board, TFT display, and power supply, provides a local interface for real-time data visualization on the TFT display. It also facilitates communication with the cloud server through the ESP8266 Wifi Board.
Cloud Server: The cloud server receives real-time data transmitted by the SXRFEA_TFFTMote. It performs FFT analysis on the vibration and temperature data using machine learning algorithms. This analysis identifies critical patterns and anomalies, generating alerts based on the findings.
Data Visualization: The analysis results are displayed on a customized web dashboard accessible through a secure user authentication mechanism. Additionally, an on-site HMI display provides real-time visualization of critical parameters. An email alert function notifies assigned personnel of potential issues, ensuring prompt resolution.
While specific language has been used to describe the present invention, any limitations arising on account thereto, are not intended. As would be apparent to a person in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment.
ADVANTAGES OF THE PRESENT INVENTION
1. The SXRFEA_TFFTMote is essential to this ground-breaking invention because it makes it simple to gather temperature and vibration data in real time from Five-Axis Abrasive Waterjet Cutter CNC Machines used in the Timber Industry. This data is wirelessly transmitted to a dedicated cloud server for advanced FFT analysis, after which the results are shown on web dashboards and HMI interfaces. This smooth operation promotes prompt decision-making and thorough monitoring.
2. A key component of this creative solution is the SXRFEA_TFFRMote, which provides a local interface for the real-time viewing of vital parameters, guaranteeing on-site monitoring. Furthermore, it supports the wireless communication and connectivity elements that are essential to the system's overall operation in CNC machines used in the timber industry.
3. The SXRFEA_TFFTMote and SXRFEA_TFFRMote monitoring devices are able to communicate wirelessly thanks in large part to the SX1272 RF Module. As a vital part of the integrated system for real-time analysis in CNC machines in the timber industry, this module guarantees the effective data transmission of vibration and temperature parameters to the cloud server.
4. This novel technology relies on the Vibration Sensor and Temperature Sensor to obtain vital information from Five-Axis Abrasive Waterjet Cutter CNC Machines used in the Timber Industry. They make it possible to monitor and analyze temperature variations and vibration intensity in real time, which is crucial for spotting possible problems and guaranteeing optimal machine performance.
5. This innovation would not be possible without the ESP8266 Wifi Board, which offers more connectivity choices and makes real-time visualization possible via the TFT display in the SXRFEA_TFFRMote. This contribution improves CNC machines used in the timber industry's smooth communication and monitoring capabilities.
6. A key element of this invention is the TFT display, which offers a local interface on the SXRFEA_TFFRMote for the real-time observation of vital parameters. It improves the Five-Axis Abrasive Waterjet Cutter CNC Machines' on-site monitoring capabilities for the timber industry.

, Claims:1. An SX1272 RF-equipped add-on card for timed FFT analysis of vibration and temperature in five-axis abrasive waterjet cutter CNC machines within the timber industry, comprising:
an SXRFEA_TFFTMote module for capturing real-time vibration and temperature data, the SXRFEA_TFFTMote module comprising an STM32 Board, an SX1272 RF Module for wireless communication, a vibration sensor, a temperature sensor, an RTC Module for accurate timestamping, and a power supply;
an SXRFEA_TFFRMote module for local data visualization and communication, the SXRFEA_TFFRMote module comprising an STM32 Board, an SX1272 RF Module for wireless communication, an ESP8266 Wifi Board for internet connectivity, a TFT display for real-time data visualization, and a power supply; and
a cloud server configured to receive the real-time data from the SXRFEA_TFFTMote module, perform FFT analysis using machine learning algorithms, and generate alerts based on identified patterns and anomalies.
2. The add-on card as claimed in claim 1, wherein the SXRFEA_TFFTMote module wirelessly transmits the captured vibration and temperature data to the cloud server for FFT analysis and visualization on a web dashboard and an HMI display.
3. The add-on card as claimed in claim 1, wherein the SXRFEA_TFFRMote module provides a local interface for real-time visualization of critical parameters, enabling on-site monitoring of the CNC machine operation.
4. The add-on card as claimed in claim 1, wherein the SX1272 RF Module facilitates wireless communication between the SXRFEA_TFFTMote module and the SXRFEA_TFFRMote module, ensuring seamless data transmission for real-time analysis.
5. The add-on card as claimed in claim 1, wherein the cloud server performs FFT analysis on the vibration and temperature data using machine learning algorithms to identify critical patterns and anomalies, generating alerts for timely intervention and maintenance.

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