AI-ENABLED HYBRID DEVICE FOR HEALTH MONITORING, CONTROL, AND BEHAVIORAL ANALYSIS OF INDUSTRIAL PRESS BRAKE MACHINES USING MACHINE LEARNING

Abstract

An ai-enabled hybrid device for health monitoring, control, and behavioral analysis of industrial press brake machines using machine learning comprises DataEdgeplug Node (100), which possesses a Jetson Nano Board (110), GSM Modem (140), GPS Modem (130), Vibration Sensor (120), Current Sensor (150), Temperature Sensor (200), Actuator (180), HMI Display (190) and Power Supply (160), it is possible to perform active health checks, give appropriate commands and transfer operational data in real time to a bespoke cloud server which allows to operate more efficiently and reliably the press brake machine's operations thanks to the DataEdgeplug Node's built-in GSM Modem, consistent wireless data communication is possible, thus allowing permanent upload of data to the cloud server even in places where WiFi is weak, allowing monitoring and control to be done at all times.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-enabled hybrid device for health monitoring, control, and behavioral analysis of industrial press brake machines using machine learning.
BACKGROUND OF THE INVENTION
This innovation presents a novel solution featuring a hybrid device which is capable of monitoring, controlling and analyzing the behavior of industrial press brake machines. It integrates state of the art sensors and intelligent systems to monitor in real-time machine vibration, energetic expenses, temperature and working condition. The device Moreover has remote control features so that the operators can perform all the necessary functions through management of the machines without any difficulties. The information is sent through the internet to a safe private cloud server where the learned algorithms will analyze the information and provide prophecy, health, and performance metrics of operability. An easy to operate interface, available through the web dashboard and a built-in display, allows the operators and authorized personnel to track the operational state of the machines and control them, thus increasing productivity and decreasing the inactive time of industrial machines.
This innovation tackles integration and upkeep performance problems confronting industrial press brake machine functional nuances which add up to the metal forming processes of making parts of manufacturing industry. Classically, such processes of operational monitoring do not incorporate automatic data capture and dispatch, predictive maintenance, or allow centralized management resulting in uneducated and uncontrolled downtimes and frequent breakdowns among other losses. Consequently, the lack of provisions for pursuing preliminary indicators of machine malfunction also pushes up breakdown costs and lowers output efficiency due to prolonged machine downtimes. This project offers an integrated solution containing constant monitoring, pattern recognition, and AI maintenance suggestions to promote dependable systems, lower maintenance expenditures, and general enhancement of operational efficiency in a variety of industrial settings.
US11231040B2: A fan assembly in which all of the major structural components of the assembly are mechanically fastened together by non-welding means, such as mechanical fasteners, is disclosed. The disclosure also relates to a fan assembly in which the major structural components have planar segments separated by bend lines that approximate a curved shape, and that can be formed, for example, by a press brake machine. Such a construction can eliminate the necessity for rolling, welding, and painting of the structural components of the fan assembly.
RESEARCH GAP: AI-enabled hybrid device for real-time health monitoring, control, and behavioral analysis of industrial press brake machines using machine learning is the novelty of the system.
CN105709983B: The invention discloses a kind of automobile brake disc automatic coating device, it includes:Pan feeding carrier chain,Transfer robot,Turntable,Spray robot and discharging transmission line,Workpiece conveys spray room with pan feeding carrier chain,After sensor detects workpiece in place,Detent mechanism is located,Transfer robot feeding,It is then placed on turntable,Turntable rotates 180 °,Workpiece is rotated in spray station,Spray robot starts to spray,After the completion of spraying,Turntable rotates 180 ° again,Now Liang Tai robots work simultaneously,Transfer robot starts blanking,The brake disc sprayed is delivered on discharging transmission line and toasted,After blanking terminates,Start feeding,Spray robot continues to spray,Into circulation pattern,The device being capable of continuous production,It is in robot and does not rest working condition,And pipeline is caused to have substantial amounts of storage base amount,Improve production efficiency and production capacity,Reduce the waiting process in spraying process simultaneously,Reduce the loss of the energy.
RESEARCH GAP: AI-enabled hybrid device for real-time health monitoring, control, and behavioral analysis of industrial press brake machines using machine learning 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 present innovation works through an integrated device that is able to monitor, control and evaluate the actions undertaken by the industrial press brake machines. It begins with the real-time data acquisition from the embedded sensors which include, vibration sensor, current sensor, temperature sensor and operational sensors for the machine. Such sensors allow for the assessment of the status and overall functioning conditions of the machine which aids in the detection of abnormalities or inefficiencies beforehand. The onboard computing system that processes data procedure both ensures that there is a minimal amount of latency and instant feedback to the practitioners can be given. The data has been processed changed context; thus, it was sent to the special fashioned cloud server via GSM and WiFi network systems. The development of smart factories allows extremely distributed resources of manufacturing to work effectively together. The new cloud server integrated into the server functionalities is designed to process the entire operating system and serves the purpose of communicating remotely with datasets and improving non-functioning systems. They allow greater operator efficiency since they are used to accurately determine when maintenance will be performed, assist in monitoring the health of the systems, and manage system failure recurrence rates.
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 present innovation works through an integrated device that is able to monitor, control and evaluate the actions undertaken by the industrial press brake machines. It begins with the real-time data acquisition from the embedded sensors which include, vibration sensor, current sensor, temperature sensor and operational sensors for the machine. Such sensors allow for the assessment of the status and overall functioning conditions of the machine which aids in the detection of abnormalities or inefficiencies beforehand. The onboard computing system that processes data procedure both ensures that there is a minimal amount of latency and instant feedback to the practitioners can be given. The data has been processed changed context; thus, it was sent to the special fashioned cloud server via GSM and WiFi network systems. The development of smart factories allows extremely distributed resources of manufacturing to work effectively together. The new cloud server integrated into the server functionalities is designed to process the entire operating system and serves the purpose of communicating remotely with datasets and improving non-functioning systems. They allow greater operator efficiency since they are used to accurately determine when maintenance will be performed, assist in monitoring the health of the systems, and manage system failure recurrence rates.
An integrated actuator improves control functionality, allowing the press brake machine to be activated or deactivated remotely. It is helpful for the protection of the machine from emergency situations like high temperature or excessive vibrations. The web dashboard and the HMI display built into the device allow operators and authorized personnel to see all information and suggestions. The web dashboard serves as a remote control unit for the machine while the HMI display is used at the location of use to enable users to see the live data, alarms and manage the machine activities without any difficulties.
BEST METHOD OF WORKING
Thanks to the DataEdgeplug Node, which possesses a Jetson Nano Board, GSM Modem, GPS Modem, Vibration Sensor, Current Sensor, Temperature Sensor, Actuator, HMI Display and Power Supply, it is possible to perform active health checks, give appropriate commands and transfer operational data in real time to a bespoke cloud server which allows to operate more efficiently and reliably the press brake machine's operations.
Thanks to the DataEdgeplug Node's built-in GSM Modem, consistent wireless data communication is possible, thus allowing permanent upload of data to the cloud server even in places where WiFi is weak, allowing monitoring and control to be done at all times.
Having a GPS Modem in the DataEdgeplug Node permits press brake machines to have a fixed location thus being able to increase the utilization of the system in distant or moving manufacturing scenarios.
Thanks to the DataEdgeplug Node's Vibration Sensor and Current Sensor, it is possible to thoroughly supervise the operation of the machines, determining certain failures that may occur, such as disruption of the electric power or excessive vibrations.
The Actuator, which is integrated into the DataEdgeplug Node, allows for remote control of the ON/OFF state of the press brake machine, thus making it possible to utilize the machine more efficiently, while being able to immediately respond to critical situations.
The DataEdgeplug Node contains an HMI Display that is located on the machine control panel. It provides a simple functional and structural interface for an operator who works in the field and needs to see the machine's condition, alert messages and control devices at the same time.
The Jetson Nano Board embedded in the DataEdgeplug Node affords higher edge computing potential which allows processing of machine data locally, hence making it possible to obtain valuable reach and respond almost instantaneously.
ADVANTAGES OF THE INVENTION
1. With the coupling of vibration, current and temperature sensors, the real time data can be obtained thus making it possible to monitor how well the press brake machine is functioning as it operates.
2. The actuator provides remote on/off capability of the machine , thus increasing the operational versatility and shortening the downtimes due to maintenance or emergencies.
3. The Jetson Nano board allows for deep computation on the device thereby making it easier to process data and cutting delays in decision making.
4. The GPS modem assists in knowing exactly where the machine is located, which is very important in case of mobile or decentralized manufacturing systems.
5. The GSM modem and WiFi help in transmitting data to the personal cloud server at all times even in places where there is intermittent reception.
6. The HMI display caters to the operator's needs by displaying machine vital graphs and controls at the site itself, allowing for greater ease in operation.
7. Data patterns are identified predict failure recommend required actions to enhance health of the machines at a cloud server which makes the unplanned repairs and maintenance cost to go drastically down.
, Claims:1. An ai-enabled hybrid device for health monitoring, control, and behavioral analysis of industrial press brake machines using machine learning comprises DataEdgeplug Node (100), which possesses a Jetson Nano Board (110), GSM Modem (140), GPS Modem (130), Vibration Sensor (120), Current Sensor (150), Temperature Sensor (200), Actuator (180), HMI Display (190) and Power Supply (160), it is possible to perform active health checks, give appropriate commands and transfer operational data in real time to a bespoke cloud server which allows to operate more efficiently and reliably the press brake machine's operations.
2. The device as claimed in claim 1, wherein thanks to the DataEdgeplug Node's built-in GSM Modem, consistent wireless data communication is possible, thus allowing permanent upload of data to the cloud server even in places where WiFi is weak, allowing monitoring and control to be done at all times.
3. The device as claimed in claim 1, wherein having a GPS Modem in the DataEdgeplug Node permits press brake machines to have a fixed location thus being able to increase the utilization of the system in distant or moving manufacturing scenarios.
4. The device as claimed in claim 1, wherein thanks to the DataEdgeplug Node's Vibration Sensor and Current Sensor, it is possible to thoroughly supervise the operation of the machines, determining certain failures that may occur, such as disruption of the electric power or excessive vibrations.
5. The device as claimed in claim 1, wherein the Actuator, which is integrated into the DataEdgeplug Node, allows for remote control of the ON/OFF state of the press brake machine, thus making it possible to utilize the machine more efficiently, while being able to immediately respond to critical situations.
6. The device as claimed in claim 1, wherein the DataEdgeplug Node contains an HMI Display that is located on the machine control panel, it provides a simple functional and structural interface for an operator who works in the field and needs to see the machine's condition, alert messages and control devices at the same time.
7. The device as claimed in claim 1, wherein the Jetson Nano Board embedded in the DataEdgeplug Node affords higher edge computing potential which allows processing of machine data locally, hence making it possible to obtain valuable reach and respond almost instantaneously.

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