AN AUTOMATED WIRELESS IOT DEVICE FOR MONITORING ENERGY CONSUMPTION IN MEDICAL GLOVE FORMING MACHINE

Abstract

An automated wireless iot device for monitoring energy consumption in medical glove forming machine comprises Raspberry Pi Processor Board (108), GSM Modem (101), Current Sensor (107), Voltage Sensor (106), HMI Display(102), RTC Module (105), Buzzer (103), and Power Supply (104) equipped AWTDMECMote (100) revolutionizes the monitoring of energy consumption in medical glove forming machines by seamlessly integrating sensors, cloud-based analysis, and user-friendly interfaces to provide proactive alerts, real-time insights, and remote monitoring capabilities that improve manufacturing operations' efficiency, dependability, and sustainability the AWTDMECMote's Raspberry Pi Processor Board serves as the device's central processing unit, coordinating sensor data collection, enabling real-time energy consumption monitoring in medical glove forming machines, and facilitating communication with cloud servers, all of these functions improve operational efficiency and sustainability

Specification

Description:FIELD OF THE INVENTION
This invention relates to an automated wireless iot device for monitoring energy consumption in medical glove forming machine.
BACKGROUND OF THE INVENTION
This innovative solution uses cutting-edge IoT technology and cloud-based analysis to provide a comprehensive system for tracking energy usage in medical glove making machines. It makes proactive monitoring easier, giving operators the ability to maximize energy use, see patterns, and address possible problems before they get out of hand. As a result, it improves manufacturing processes for medical gloves in terms of reliability and efficiency.
This invention aims to address the difficulty of efficiently controlling and monitoring the energy usage of medical glove manufacturing equipment. Traditional methods of monitoring energy use in industrial machinery often fail to deliver preemptive alarms and real-time information, which leads to operating expenses, downtime, and inefficiencies.
US9104271B1: Certain exemplary embodiments can provide a system, machine, device, manufacture, circuit, composition of matter, and/or user interface adapted for and/or resulting from, and/or a method and/or machine-readable medium comprising machine-implementable instructions for, activities that can comprise and/or relate to: tracking movement of a gloved hand of a human; interpreting a gloved finger movement of the human; and/or in response to interpreting the gloved finger movement, providing feedback to the human.
RESEARCH GAP: An IoT equipped solution for Energy Consumption buy Medical Glove Forming Machine is the novelty of the system.
US10420382B2: A utility glove formed of a glove blank of a fabric material in the shape of at least a portion of a hand having one or more areas of elastomeric material injection molded thereon to form one or more three dimensional molded portions, the three dimensional molded portions being the fabric material with the elastomeric material bonded thereto, wherein one or more three dimensional molded portions leave at least one area of fabric material of the glove blank without elastomeric material bonded to the fabric. The fabric material of the glove blank can be made from one or more fabrics, a treated fabric, a coated fabric or combinations thereof, or the fabric may have a portion with a coating on an area without elastomeric material.
RESEARCH GAP: An IoT equipped solution for Energy Consumption buy Medical Glove Forming 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 AWTDMECMote uses powerful data analysis, IoT technology, and user-friendly interfaces to revolutionize energy consumption monitoring in Medical Glove Forming Machines. The Raspberry Pi Processor Board, which serves as the device's central processing unit and coordinator of operations, is at its core. This board is connected to important sensing parts such the voltage and current sensors, which continuously record information about the machine's energy use. These sensors provide up-to-date data on the voltages and currents used in the glove-forming process. The GSM modem is used by the AWTDMECMote to create a wireless connection and transfer data to a chosen Cloud server when data is being gathered. All of the data that has been gathered is stored on this Cloud server, which was created especially for this invention. Once there, the data is subjected to a comprehensive examination made possible by pre-programmed algorithms. These algorithms are designed to analyze trends, patterns, and anomalies in energy use, enabling the system to produce educational reports and alarms.
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 AWTDMECMote uses powerful data analysis, IoT technology, and user-friendly interfaces to revolutionize energy consumption monitoring in Medical Glove Forming Machines. The Raspberry Pi Processor Board, which serves as the device's central processing unit and coordinator of operations, is at its core. This board is connected to important sensing parts such the voltage and current sensors, which continuously record information about the machine's energy use. These sensors provide up-to-date data on the voltages and currents used in the glove-forming process. The GSM modem is used by the AWTDMECMote to create a wireless connection and transfer data to a chosen Cloud server when data is being gathered. All of the data that has been gathered is stored on this Cloud server, which was created especially for this invention. Once there, the data is subjected to a comprehensive examination made possible by pre-programmed algorithms. These algorithms are designed to analyze trends, patterns, and anomalies in energy use, enabling the system to produce educational reports and alarms.
After data processing, the insights are shown using a variety of interfaces. The first is the built-in HMI (Human-Machine Interface) Display, which gives users access to trend charts, real-time statistics, and important warnings on-site and instantaneous feedback for managing and monitoring energy use. Furthermore, the AWTDMECMote provides an easy-to-use online dashboard that may be accessed through the Internet. This dashboard makes it possible to remotely monitor machine performance from any location with an internet connection by providing a thorough picture of energy usage trends. Furthermore, the system provides proactive management in addition to passive monitoring. Through historical data analysis and pattern recognition, the AWTDMECMote is able to predict future problems or inefficiencies in energy usage. The Medical Glove Forming Machine's efficiency and dependability are eventually improved by the operators' capacity to anticipate maintenance needs, optimize energy use, and reduce downtime.
BEST METHOD OF WORKING
The Raspberry Pi Processor Board, GSM Modem, Current Sensor, Voltage Sensor, HMI Display, RTC Module, Buzzer, and Power Supply equipped AWTDMECMote revolutionizes the monitoring of energy consumption in medical glove forming machines by seamlessly integrating sensors, cloud-based analysis, and user-friendly interfaces to provide proactive alerts, real-time insights, and remote monitoring capabilities that improve manufacturing operations' efficiency, dependability, and sustainability.
The AWTDMECMote's Raspberry Pi Processor Board serves as the device's central processing unit, coordinating sensor data collection, enabling real-time energy consumption monitoring in medical glove forming machines, and facilitating communication with cloud servers. All of these functions improve operational efficiency and sustainability.
The AWTDMECMote's integrated GSM modem ensures remote monitoring and analysis of medical glove forming machine operations for improved efficiency and maintenance. It does this by enabling wireless communication and facilitating the transmission of real-time energy consumption data from the AWTDMECMote to a dedicated cloud server.
The medical glove forming machine's electrical currents and voltages are monitored by the Current Sensor and Voltage Sensor, which are both connected to the AWTDMECMote. This allows for precise analysis and optimization of energy usage for higher efficiency and cost-effectiveness.
The HMI Display, which is interfaced with the AWTDMECMote, provides operators with instant feedback and enables effective monitoring and management of the energy usage of the medical glove forming machine. It does this by presenting real-time energy consumption data, trend charts, and critical alerts directly on-site.
ADVANTAGES OF THE INVENTION
1. The AWTDMECMote seamlessly integrates sensors, cloud-based analysis, and user-friendly interfaces to revolutionize energy consumption monitoring in medical glove manufacturing machines. The integration of real-time information, proactive alarms, and remote monitoring capabilities enhances manufacturing processes' efficiency, dependability, and sustainability.
2. By enabling wireless connectivity, the GSM Modem makes it possible to send real-time energy usage statistics from the AWTDMECMote to a specific cloud server. With remote monitoring and analysis of medical glove making machine activities made possible by this technology, maintenance duties are made easier and efficiency is eventually increased.
3. The medical glove forming machine's electrical currents and voltages are continuously monitored by the Current Sensor and Voltage Sensor, providing real-time data on energy use. The accurate analysis and optimization of energy usage made possible by these data boost operational efficiency and cost-effectiveness.
4. The HMI Display gives operators on-site access to trend charts, real-time energy consumption data, and important alarms. This function gives operators instant feedback, making it easier to monitor and control how much energy is being used by the medical glove forming machine.
, Claims:1. An automated wireless iot device for monitoring energy consumption in medical glove forming machine comprises Raspberry Pi Processor Board (108), GSM Modem (101), Current Sensor (107), Voltage Sensor (106), HMI Display(102), RTC Module (105), Buzzer (103), and Power Supply (104) equipped AWTDMECMote (100) revolutionizes the monitoring of energy consumption in medical glove forming machines by seamlessly integrating sensors, cloud-based analysis, and user-friendly interfaces to provide proactive alerts, real-time insights, and remote monitoring capabilities that improve manufacturing operations' efficiency, dependability, and sustainability.
2. The device as claimed in claim 1, wherein the AWTDMECMote's Raspberry Pi Processor Board serves as the device's central processing unit, coordinating sensor data collection, enabling real-time energy consumption monitoring in medical glove forming machines, and facilitating communication with cloud servers, all of these functions improve operational efficiency and sustainability.
3. The device as claimed in claim 1, wherein the AWTDMECMote's integrated GSM modem ensures remote monitoring and analysis of medical glove forming machine operations for improved efficiency and maintenance, it does this by enabling wireless communication and facilitating the transmission of real-time energy consumption data from the AWTDMECMote to a dedicated cloud server.
4. The device as claimed in claim 1, wherein the medical glove forming machine's electrical currents and voltages are monitored by the Current Sensor and Voltage Sensor, which are both connected to the AWTDMECMote, this allows for precise analysis and optimization of energy usage for higher efficiency and cost-effectiveness.
5. The device as claimed in claim 1, wherein the HMI Display, which is interfaced with the AWTDMECMote, provides operators with instant feedback and enables effective monitoring and management of the energy usage of the medical glove forming machine, it does this by presenting real-time energy consumption data, trend charts, and critical alerts directly on-site.

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