RF-BASED ENERGY CONSUMPTION MONITORING SOLUTION FOR CNC VERTICAL MACHINING CENTERS WITH VERTICAL ORIENTATION UTILIZING SX1278 TECHNOLOGY

Abstract

An RF-Based Energy Consumption Monitoring Solution for CNC Vertical Machining Centers with Vertical Orientation Utilizing SX1278 Technology This innovation integrates RF-based wireless technology and IoT-enabled cloud systems to monitor energy consumption in CNC Vertical Machining Centers. The system features a TCRFD_CVMCNode with a TI MSP432 MCU, SX1278 RF Module, and Current Sensor for real-time data collection and an RCRFD_CVMCNode equipped with a TI MSP432 MCU, SX1278 RF Module, NuttyFi WiFi Module, and HMI Display for data reception and analysis. Using IoT connectivity, operators can access insights, alerts, and analytics via a cloud dashboard. This solution optimizes energy usage, enhances decision-making, and ensures proactive maintenance in CNC machining operations.

Specification

Description:FIELD OF THE INVENTION
This invention relates to RF-Based Energy Consumption Monitoring Solution for CNC Vertical Machining Centers with Vertical Orientation Utilizing SX1278 Technology
BACKGROUND OF THE INVENTION
This concept aims to solve the problem of efficiently monitoring energy consumption in CNC vertical machining centres. Traditional methods of monitoring energy consumption at these facilities are often time-consuming, manual, and don't give accurate real-time insights. As a result, there are inefficiencies and increased operating costs.
KR20160090636A - The present invention relates to a double spindle head machining centre, comprising: a main saddle connected to one Z-axis screw and movable in the Z-axis direction; an X-axis linear guide connected to a rear surface of the main saddle for moving the main saddle in an X-axis direction; a machine tool portion in which two double spindles are fixedly installed on the front surface of the main saddle at regular intervals so as to simultaneously perform the same machining on the two workpieces; and at least one transfer stage capable of positioning the workpiece and being movable in the Y-axis direction by a Y-axis linear guide, wherein any one of the spindles of the double spindle is independently moved in the Z-axis. A transfer unit is provided. It is an object of the present invention to simultaneously perform the same machining of two workpieces, to easily and quickly perform fine machining errors that may occur during machining, and to simultaneously perform mass machining through the same machining, thereby significantly reducing the overall machining time.
Research Gap: SX1278 RF-based solution for monitoring energy consumptions of CNC Vertical Machining Centres is the novelty of the system.
CN209987081U - A control system of a numerical control machining centre comprises a CNC controller, a servo control unit, an upper machine head control unit, a material clamping control unit, a man-machine conversation interface unit, and a communication unit, wherein the servo control unit, the upper machine head control unit, the material clamping control unit, the man-machine conversation interface unit, and the communication unit are connected with a bus in a bidirectional control and parallel mode; the upper machine head control unit comprises a main shaft driving unit, a main shaft lifting control unit, a routing tracking material pressing control unit, a drill driving unit, a plurality of drill units, and a drilling tracking material pressing control unit; the tracking material pressing control unit comprises an I/O module, an electromagnetic valve, a cylinder, and a sensor arranged on the cylinder; the I/O module is connected with the bus in a bidirectional control and parallel mode, the electromagnetic valve is connected with the I/O module in a unidirectional control and series mode, the I/O module controls the electromagnetic valve in a unidirectional mode, the air cylinder is connected with the electromagnetic valve in a unidirectional control mode, the electromagnetic valve controls the air cylinder in a unidirectional mode, the sensor is connected with the I/O module in a unidirectional control and series mode, and the sensor controls the I/O module in a unidirectional mode. The method has the advantages of reducing the phenomena of surface scratches on the workpiece and perfectly realizing the effect of no scratches on the board surface.
Research Gap: SX1278 RF-based solution for monitoring energy consumptions of CNC Vertical Machining Centres 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 development offers a sophisticated method of tracking energy consumption in CNC vertical machining centers by combining IoT cloud integration with wireless transmission technologies. Through real-time data collection from the machining center, the platform enables operators to view in-depth assessments of patterns and trends in energy usage from a distance. By employing machine learning algorithms, anomalies and significant events are identified, enabling preventive maintenance and optimization strategies. 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.
This creative solution gives CNC Vertical Machining Center operators never-before-seen visibility into energy utilization by fusing IoT cloud technology with RF-based wireless technologies. Fundamentally, the TCRFD_CVMCNode and RCRFD_CVMCNode function as nodes for transmission and reception, respectively. The TCRFD_CVMCNode is outfitted with a TI MSP432 MCU, an SX1278 RF Module, a current sensor, an indicator, and a power supply to gather data on energy consumption in real time from the machining center. This information is wirelessly sent to the RCRFD_CVMCNode via the SX1278 RF Module, which is situated at a distance and has comparable hardware, as well as an HMI display, a NuttyFiWifi Module, and other similar components. To access cloud-based resources, internet connectivity is required, which is made possible with the NuttyFiWifi Module.
After receiving the data, the RCRFD_CVMCNode uses the TI MSP432 MCU to process it before feeding it into machine learning algorithms that have already been developed. These algorithms examine trends of energy use to spot abnormalities or important occasions. Both locally on the HMI display and remotely on a customized cloud web dashboard, the results are shown. The cloud server, created especially for this innovation, houses all of the data that has been gathered in one location. It makes incoming data from the RCRFD_CVMCNode available for additional analysis and visualization by securely storing it. Operators can view real-time data charts, energy consumption trends, and crucial alerts generated by machine learning algorithms by logging into their accounts and using the cloud dashboard.
BEST METHOD OF WORKING
1. The TCRFD_CVMCNode, which combines sensors and RF-based wireless technology, is utilized for primary data collection and transmission. It is outfitted with a TI MSP432 MCU, an SX1278 RF Module, a current sensor, an indicator, and a power supply. This allows for real-time monitoring of energy consumption in CNC Vertical Machining Centers.
2. The RCRFD_CVMCNode, which is outfitted with a TI MSP432 MCU, an SX1278 RF Module, a NuttyFiWifi Module, an HMI Display, a buzzer, and a power supply, is utilized for central data processing and reception, enabling remote access to the energy consumption data that the TCRFD_CVMCNode collects, and offering insights in CNC Vertical Machining Centers through machine learning algorithms and cloud integration.
3. The central microcontroller in both motes, the TI MSP432 MCU, is in charge of processing information, managing operations, and carrying out algorithms for effective energy consumption monitoring in CNC vertical machining centers.
4. The TCRFD_CVMCNode and RCRFD_CVMCNode can communicate wirelessly thanks to the SX1278 RF Module, which is also included in both of the motes. This makes it easier to transmit real-time data about energy usage in CNC Vertical Machining Centers.
5. The Current Sensor, which is coupled to the TCRFD_CVMCNode, is used to evaluate energy consumption in real-time and provides vital information for CNC Vertical Machining Center performance monitoring and optimization.
6. To enable internet connectivity, the RCRFD_CVMCNode integrates the NuttyFiWifi Module. This permits the RCRFD_CVMCNode to send energy consumption data to a customized cloud server, facilitating remote access to insights and analysis in CNC Vertical Machining Centers.
7. The HMI Display, which is interfaced to the RCRFD_CVMCNode, is used to improve monitoring and decision-making capabilities in CNC Vertical Machining Centers by giving operators an intuitive interface to view real-time energy consumption data and get alerts.
ADVANTAGES OF THE INVENTION
1. By integrating sensors and RF-based wireless technology, the TCRFD_CVMCNode serves as the focal point for data collecting and transmission, enabling real-time monitoring of energy usage in CNC Vertical Machining Centers.
2. The RCRFD_CVMCNode, which functions as the central receiver and data processing unit, provides remote access to the energy consumption information gathered by the TCRFD_CVMCNode. With CNC Vertical Machining Center cloud connection and machine learning algorithms, it offers insightful data.
3. Real-time energy consumption data in CNC Vertical Machining Centers may be transmitted thanks to the SX1278 RF Module, which provides smooth communication between the TCRFD_CVMCNode and RCRFD_CVMCNode.
4. The Current Sensor provides essential information for tracking and improving performance in CNC Vertical Machining Centers since it can detect energy usage in real-time.
5. Data on energy usage can be transmitted from the RCRFD_CVMCNode to a customized cloud server by utilizing the NuttyFiWifi Module for internet connectivity. With the help of this technology, users of CNC Vertical Machining Centers can get insights and analysis remotely.
6. The HMI Display functions as an intuitive user interface that enables operators to see statistics on energy use in real time and get alerts. This improves CNC Vertical Machining Centers' capacity for monitoring and making decisions.
, Claims:1. An RF-Based Energy Consumption Monitoring system for CNC Vertical Machining Centers with Vertical Orientation Utilizing SX1278 Technology, comprises a TCRFD_CVMCNode (101) equipped with a TI MSP432 MCU (102), SX1278 RF Module (103), Current Sensor (104), Indicator (105), and Power Supply (106), and an RCRFD_CVMCNode (201) equipped with a TI MSP432 MCU (202), SX1278 RF Module (203), NuttyFi WiFi Module (204), HMI Display (205), Buzzer (206), and Power Supply (207). Together, these devices enable real-time monitoring, wireless data transmission, and IoT-based remote insights for energy consumption optimization in CNC Vertical Machining Centers.
2. The system, as claimed in Claim 1, wherein the SX1278 RF Module (103, 203) facilitates seamless wireless communication between the TCRFD_CVMCNode and RCRFD_CVMCNode, ensuring reliable data transfer for real-time energy consumption monitoring and analysis.
3. The system, as claimed in Claim 1, wherein the Current Sensor (104) integrated into TCRFD_CVMCNode provides precise energy consumption data, supporting optimization and performance monitoring in CNC Vertical Machining Centers.
4. The system, as claimed in Claim 1, wherein the NuttyFi WiFi Module (204) in RCRFD_CVMCNode enables internet connectivity, allowing the transmission of energy consumption data to a customized cloud server for advanced analytics and remote monitoring.
5. The system, as claimed in Claim 1, wherein the HMI Display (205) on RCRFD_CVMCNode provides an intuitive user interface for operators to view real-time energy usage data and receive critical alerts, enhancing decision-making and monitoring capabilities.
6. The system, as claimed in Claim 1, wherein the Buzzer (206) integrated into RCRFD_CVMCNode provides audible notifications for critical energy consumption events, improving operational responsiveness and safety.
7. The system, as claimed in Claim 1, wherein integration with IoT-based cloud technology enables advanced machine learning algorithms to analyze energy consumption data, generating actionable insights and alerts for preventive maintenance and energy efficiency improvements.

Documents