VIBRATION ANALYSIS AND DFT ASSESSMENT THROUGH CLOUD OF SERVO INJECTION MOLDING MACHINE IN MEDICAL EQUIPMENT MANUFACTURING

Abstract

A vibration analysis and dft assessment through cloud of servo injection molding machine in medical equipment manufacturing comprises VADACSIMote (100), which uses machine learning algorithms and IoT-based cloud technology to give operators timely insights, trend analysis, and critical alerts for optimal machine performance, is a ground-breaking solution for real-time vibration analysis and Discrete Fourier Transform assessment in servo injection molding machines within the medical equipment manufacturing industry, it is equipped with an ATmega2560 Board (107), an ESP01 Wifi Module (101), a 3 Axis MEMS Vibration Sensor (106), an HMI Display (102), an indicator (103), a buzzer (104), and a power supply (105) to ensure effective monitoring and analysis of servo injection molding machines in the manufacturing of medical equipment, the ATmega2560 Board, which is integrated into VADACSIMote, is used to orchestrate the collection and processing of vibration data in the VADACSIMote innovation, this allows for seamless communication between the 3 Axis MEMS Vibration Sensor, ESP01 Wifi Module, and HMI Display.

Specification

Description:FIELD OF THE INVENTION
This invention relates to vibration analysis and dft assessment through cloud of servo injection molding machine in medical equipment manufacturing.
BACKGROUND OF THE INVENTION
This innovative system effectively monitors and assesses the vibration characteristics of servo injection molding machines, which is critical to the production of medical equipment. The devices are equipped with vibration sensors that are placed strategically to collect data continuously. The data is then wirelessly transferred to a specialized cloud server. The cloud-based analysis provides real-time insights into the machine's performance by providing trends, live data, and critical alarms through the use of sophisticated machine learning algorithms.
Effective monitoring and maintenance of servo injection molding machines presents challenges for the manufacturing industry, particularly in the production of medical equipment. When it comes to giving real-time information regarding vibration characteristics, a crucial component of machine health, existing methods often fall short. This shortcoming makes it more difficult for the sector to anticipate issues before they arise, which puts unscheduled downtime, higher maintenance costs, and a risk to overall production efficiency at risk.
CN203185616U: The utility model discloses a full-automatic injection molding zip fastener injection molding machine with a servo motor. The full-automatic injection molding zip fastener injection molding machine comprises a worktable, wherein the worktable is provided with a mould closing mechanism, an injection device, a feeding device and a control device; the mould closing mechanism comprises a static mould device and a movable mould device; the static mould device comprises a movable mould mounting seat and a movable module; one side of the movable mould mounting seat, back to the movable module, is provided with a guide column and a driving oil cylinder; the guide column is provided with a first mounting plate and a second mounting plate; one side of the first mounting plate, back to the driving oil cylinder, is provided with an injection driving oil cylinder; the second mounting plate is provided with the servo motor; the injection device comprises a screw rod capable of moving upwards under the driving of the servo motor; the screw rod is arranged on the second mounting plate; the first mounting plate is provided with a charging barrel; one end of the screw rod, back ro the servo motor, stretches into the charging barrel. The screw rod of the device disclosed by the utility model moves upwards under the driving of the servo motor and oil does not need to be supplied, so that other work can be carried out while the movement for driving the screw rod is carried out; and therefore, the production speed is increased and the oil consumption is also reduced.
RESEARCH GAP: IoT and Cloud based DFT analysis of Servo Injection Molding Machine using vibration analysis is the novelty of the system.
CN212021527U: The utility model discloses an injection mold of a plastic sleeve of a caster, which comprises a male mold, a female mold and injection molding holes which move oppositely; the male die cavity and the female die cavity are respectively arranged on the male die cavity paneling and the female die cavity paneling, and the male die cavity paneling and the female die cavity paneling are respectively arranged on the male die frame and the female die frame; the first ejector pin is connected with the sliding block, the sliding block is arranged on the male die cavity paneling in a sliding mode and moves back and forth on the male die cavity paneling, the first ejector pin, the male die cavity and the female die cavity are closed to form independent injection molding cavities, and the injection molding holes are communicated with the injection molding cavities through the main flow channel and the branch flow channels of the injection molding cavities and used for providing injection molding materials; the slide block is also provided with a through hole for accommodating the inclined guide pillar, one end of the inclined guide pillar is connected with the female die, and the other end of the inclined guide pillar is inclined towards the outer side of the injection mold and is used for driving the slide block to slide on the male mold cavity paneling. The technical scheme improves the production rate of the external member and reduces the production and operation costs of the external member.
RESEARCH GAP: IoT and Cloud based DFT analysis of Servo Injection Molding Machine using vibration analysis 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.
In the context of producing medical equipment, the VADACSIMote invention monitors and assesses the vibration characteristics of servo injection molding machines by integrating a variety of hardware components and cutting-edge technology. The ATmega2560 Board, ESP01 WiFi Module, 3 Axis MEMS Vibration Sensor, HMI Display, Indicator, Buzzer, and Power Supply are some of the essential parts. These components work together to make vibration data collection, transfer, and analysis possible. The injection molding machine's 3 Axis MEMS Vibration Sensor is positioned carefully to continually gather vibration data when the machine is in use. This data is then processed by the ATmega2560 microcontroller board, which functions as the system's central processing unit. The vibration data can be wirelessly transmitted to a dedicated cloud server created especially for this cutting-edge system thanks to the ESP01 Wifi Module.
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.
In the context of producing medical equipment, the VADACSIMote invention monitors and assesses the vibration characteristics of servo injection molding machines by integrating a variety of hardware components and cutting-edge technology. The ATmega2560 Board, ESP01 WiFi Module, 3 Axis MEMS Vibration Sensor, HMI Display, Indicator, Buzzer, and Power Supply are some of the essential parts. These components work together to make vibration data collection, transfer, and analysis possible. The injection molding machine's 3 Axis MEMS Vibration Sensor is positioned carefully to continually gather vibration data when the machine is in use. This data is then processed by the ATmega2560 microcontroller board, which functions as the system's central processing unit. The vibration data can be wirelessly transmitted to a dedicated cloud server created especially for this cutting-edge system thanks to the ESP01 Wifi Module.
When the data reaches the cloud, it is analyzed using pre-programmed machine learning algorithms that are intended to find patterns, trends, and any problems associated with the vibration of the injection molding process. By utilizing cloud technology, information may be stored, processed, and retrieved more efficiently, providing real-time insights into the machine's performance. The analysis's findings are displayed in a number of ways. On the shop floor, operators can view real-time data, crucial alerts, and trending information thanks to the HMI Display, which acts as a local interface.. Simultaneously, a customized user interface is accessible through a local web dashboard within the industry premises, providing a more comprehensive view of the data and allowing operators to delve deeper into the performance metrics.
BEST METHOD OF WORKING
The VADACSIMote, which uses machine learning algorithms and IoT-based cloud technology to give operators timely insights, trend analysis, and critical alerts for optimal machine performance, is a ground-breaking solution for real-time vibration analysis and Discrete Fourier Transform assessment in servo injection molding machines within the medical equipment manufacturing industry. It is equipped with an ATmega2560 Board, an ESP01 Wifi Module, a 3 Axis MEMS Vibration Sensor, an HMI Display, an indicator, a buzzer, and a power supply.
To ensure effective monitoring and analysis of servo injection molding machines in the manufacturing of medical equipment, the ATmega2560 Board, which is integrated into VADACSIMote, is used to orchestrate the collection and processing of vibration data in the VADACSIMote innovation. This allows for seamless communication between the 3 Axis MEMS Vibration Sensor, ESP01 Wifi Module, and HMI Display.
Another feature of VADACSIMote is the ESP01 WiFi Module, which is used to enable wireless communication. This makes it easier for vibration data from the 3 Axis MEMS Vibration Sensor to be transmitted seamlessly to a specialized cloud server, linking the VADACSIMote innovation to IoT-based cloud technology for real-time analysis and monitoring of servo injection molding machines in the manufacturing of medical equipment.
One of the main data acquisition components of the VADACSIMote innovation is the 3 Axis MEMS Vibration Sensor, which is connected. It is used to capture precise vibration data from servo injection molding machines, which is then transmitted for real-time analysis and monitoring through the integrated IoT-based cloud technology in the manufacturing of medical equipment.
To improve the monitoring and control of servo injection molding machines in the production of medical equipment, the HMI Display that is interfaced on VADACSIMote is used to give operators a local interface for real-time visualization of vibration data, trend analysis, and critical alerts generated by the VADACSIMote system.
ADVANTAGES OF THE INVENTION
1. In addition, a local online dashboard within the industry premises provides operators with deeper access to performance metrics and a more comprehensive view of the data through a customized user interface.
2. In the medical equipment production industry, the VADACSIMote is a novel way to perform Discrete Fourier Transform evaluations and real-time vibration analysis on servo injection molding machines. It helps to optimize machine performance by providing operators with timely insights, trend analysis, and important alerts through the use of machine learning algorithms and IoT-based cloud technologies.
3. The main data collecting element of the VADACSIMote invention is the 3 Axis MEMS Vibration Sensor. It obtains accurate vibration data from servo injection molding machines and sends it via integrated IoT-based cloud technologies for real-time analysis and monitoring in the medical equipment manufacturing industry.
4. The HMI Display is essential in giving operators a local interface for trend analysis, vibration data visualization in real-time, and important alarms produced by the VADACSIMote system. This improves the servo injection molding machines' monitoring and control in the production of medical equipment.
, Claims:1. A vibration analysis and dft assessment through cloud of servo injection molding machine in medical equipment manufacturing comprises VADACSIMote (100), which uses machine learning algorithms and IoT-based cloud technology to give operators timely insights, trend analysis, and critical alerts for optimal machine performance, is a ground-breaking solution for real-time vibration analysis and Discrete Fourier Transform assessment in servo injection molding machines within the medical equipment manufacturing industry, it is equipped with an ATmega2560 Board (107), an ESP01 Wifi Module (101), a 3 Axis MEMS Vibration Sensor (106), an HMI Display (102), an indicator (103), a buzzer (104), and a power supply (105).
2. The machine as claimed in claim 1, wherein to ensure effective monitoring and analysis of servo injection molding machines in the manufacturing of medical equipment, the ATmega2560 Board, which is integrated into VADACSIMote, is used to orchestrate the collection and processing of vibration data in the VADACSIMote innovation, this allows for seamless communication between the 3 Axis MEMS Vibration Sensor, ESP01 Wifi Module, and HMI Display.
3. The machine as claimed in claim 1, wherein another feature of VADACSIMote is the ESP01 WiFi Module, which is used to enable wireless communication, this makes it easier for vibration data from the 3 Axis MEMS Vibration Sensor to be transmitted seamlessly to a specialized cloud server, linking the VADACSIMote innovation to IoT-based cloud technology for real-time analysis and monitoring of servo injection molding machines in the manufacturing of medical equipment.
4. The machine as claimed in claim 1, wherein one of the main data acquisition components of the VADACSIMote innovation is the 3 Axis MEMS Vibration Sensor, which is connected, it is used to capture precise vibration data from servo injection molding machines, which is then transmitted for real-time analysis and monitoring through the integrated IoT-based cloud technology in the manufacturing of medical equipment.
5. The machine as claimed in claim 1, wherein to improve the monitoring and control of servo injection molding machines in the production of medical equipment, the HMI Display that is interfaced on VADACSIMote is used to give operators a local interface for real-time visualization of vibration data, trend analysis, and critical alerts generated by the VADACSIMote system.

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