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NRF-BASED MONITORING HARDWARE FOR ELECTROSPINNING MACHINE HEALTH IN MEDICAL FILTRATION INDUSTRY
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Abstract
Information
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Specification
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ORDINARY APPLICATION
Published
Filed on 19 November 2024
Abstract
A nrf-based monitoring hardware for electrospinning machine health in medical filtration industry comprises STM8 MCU Board (45), nRF Module (15), Vibration Sensor (40), MLX90614 Temperature Sensor (35), Humidity Sensor (30), RTC Module (20), and Power Supply (25) of the NBEMT_HMFMote (10) are utilized in the data collection process to obtain vital operational data from electrospinning machines through a variety of sensors, enabling real-time monitoring of machine health and performance in the medical filtering sector the NBEMR_HMFMote is used as an interface between the electrospinning machines and the cloud-based monitoring system, it is outfitted with an STM8 MCU Board, nRF Module, HMI Display, ESP32 Wifi Module, SD Card Module, Indicator, and Power Supply, it offers real-time insights into machine condition, displays critical alerts, and facilitates seamless communication with the customized cloud server in the medical filtration industry.
Patent Information
Application ID | 202411089417 |
Invention Field | TEXTILE |
Date of Application | 19/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
DR. NAVNEET KHURANA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
TARA SINGLA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. RAJESH VERMA | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. KULWINDER SINGH | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR.H PAL THETHI | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
DR. SHAILESH KUMAR SINGH | LOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
LOVELY PROFESSIONAL UNIVERSITY | JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA. | India | India |
Specification
Description:FIELD OF THE INVENTION
This invention relates to nrf-based monitoring hardware for electrospinning machine health in medical filtration industry.
BACKGROUND OF THE INVENTION
This creative solution offers a comprehensive administration and monitoring system made especially for electrospinning machines used in the medical filtering industry. By using a combination of sensors, communication modules, and cloud-based analytics, the system continuously collects and evaluates machine-generated operational data.
The difficulty of effectively monitoring and maintaining electrospinning machines in the medical filtration industry is the focus of this innovation. The production of materials essential for medical filtration applications depends heavily on electrospinning machines. Any failure or drop in performance has the potential to seriously disrupt production and lower the calibre of the finished goods. Because current monitoring technologies are unable to provide predictive analytics or real-time information, maintenance is done reactively rather than proactively.
CN108754635B: This divisional application is related to a kind of electrospinning device and method, belong to electrostatic spinning field, main points are: control device is mainly communicated by host computer, interchanger, PLC with industrial camera, industrial camera is for acquiring spinneret syringe needle status image, and transmit it to host computer, host computer receives image and compares, and judges whether have spherical drop image to identify ejector pin head state in the industrial camera acquired image. Effect is identification ejector pin head state.
RESEARCH GAP: nRF based solution with Cloud integration to monitor the health of Electrospinning Machine used within Medical Filtration Industry is the novelty of the system.
CN106702506A: The invention relates to the technical field of textile equipment and discloses an electrostatic spinning device. The electrostatic spinning device comprises an electrostatic generator, a spinneret box and spinneret modules detachably arranged at the bottom of the spinneret box, wherein is a natural number greater than or equal to 1. Spinneret holes are formed in the side of the spinneret module, backing to the spinneret box, wherein is a natural number greater than or equal to 1. The electrostatic generator generates an electrostatic field at the exit of the spinneret holes. The spinning liquid is solidified and formed into the fibrous material when ejected from the spinneret holes under the effect of the electrostatic field. The elector spinning device is capable of conveniently adjusting the proportion of polymer in the woven fibers.
RESEARCH GAP: nRF based solution with Cloud integration to monitor the health of Electrospinning Machine used within Medical Filtration Industry 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.
This innovation makes use of real-time communication capabilities, cloud-based analytics, and advanced sensor technologies to optimize the monitoring and administration of electrospinning machines in the medical filtration sector. Two monitoring devices, NBEMT_HMFMote and NBEMR_HMFMote, which are both furnished with a variety of sensors and communication modules, are at the center of this innovation. The main hub for collecting data is NBEMT_HMFMote, which uses vibration, temperature, and humidity sensors to collect vital operational data from the electrospinning machine. This device continuously monitors a number of indicators that are indicative of the health and performance of the machine. It processes the data obtained locally using the STM8 MCU Board and wirelessly transfers it to the cloud server via the nRF Module for additional analysis. On the other hand, NBEMR_HMFMote acts as a bridge between the cloud-based monitoring system and the electrospinning machine. This gadget, equipped with an ESP32 Wifi Module, connects to the internet and allows for easy connection with the customized cloud server.
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 innovation makes use of real-time communication capabilities, cloud-based analytics, and advanced sensor technologies to optimize the monitoring and administration of electrospinning machines in the medical filtration sector. Two monitoring devices, NBEMT_HMFMote and NBEMR_HMFMote, which are both furnished with a variety of sensors and communication modules, are at the center of this innovation. The main hub for collecting data is NBEMT_HMFMote, which uses vibration, temperature, and humidity sensors to collect vital operational data from the electrospinning machine. This device continuously monitors a number of indicators that are indicative of the health and performance of the machine. It processes the data obtained locally using the STM8 MCU Board and wirelessly transfers it to the cloud server via the nRF Module for additional analysis. On the other hand, NBEMR_HMFMote acts as a bridge between the cloud-based monitoring system and the electrospinning machine. This gadget, equipped with an ESP32 Wifi Module, connects to the internet and allows for easy connection with the customized cloud server.
Additionally, it has an HMI Display that provides operators with important alerts and real-time insights into the machine's status. On the cloud server, the data gathered by NBEMT_HMFMote is analyzed using pre-established algorithms that are tailored to the particular requirements of electrospinning machine monitoring. Based on the collected data, this analysis includes trend evaluation, anomaly detection, and probable problem prediction. Operators can then access the results via a mobile dashboard that requires login credentials or a user-friendly web dashboard When there are severe situations or deviations from standard operating parameters, the system generates warnings that are shown on the NBEMR_HMFMote HMI Display. Moreover, emails with notifications are sent to the appropriate authorities, guaranteeing quick maintenance and intervention to minimize any production process interruptions.
BEST METHOD OF WORKING
The STM8 MCU Board, nRF Module, Vibration Sensor, MLX90614 Temperature Sensor, Humidity Sensor, RTC Module, and Power Supply of the NBEMT_HMFMote are utilized in the data collection process to obtain vital operational data from electrospinning machines through a variety of sensors, enabling real-time monitoring of machine health and performance in the medical filtering sector.
The NBEMR_HMFMote is used as an interface between the electrospinning machines and the cloud-based monitoring system. It is outfitted with an STM8 MCU Board, nRF Module, HMI Display, ESP32 Wifi Module, SD Card Module, Indicator, and Power Supply. It offers real-time insights into machine condition, displays critical alerts, and facilitates seamless communication with the customized cloud server in the medical filtration industry.
The two motes' integrated nRF modules allow for seamless data transmission for real-time monitoring and analysis of the health of electrospinning machines in the medical filtering sector by facilitating wireless communication between the monitoring devices and the cloud server.
The NBEMT_HMFMote is equipped with three sensors: the vibration sensor, the temperature sensor (MLX90614), and the humidity sensor. These sensors are used to provide vital information about the health of the machine, temperature variations, and environmental conditions, respectively. They also contribute to the thorough monitoring of electrospinning machines in the medical filtration sector.
The HMI Display, which is interfaced with the NBEMR_HMFMote, improves monitoring and decision-making capabilities for electrospinning machines in the medical filtration sector by providing operators with real-time viewing of crucial warnings and machine data.
To enable smooth internet connectivity and communication between the monitoring devices and the cloud-based server, the ESP32 WiFi Module integrated into NBEMR_HMFMote is used. This ensures real-time data transmission and remote access capabilities for monitoring electrospinning machines in the medical filtration industry.
ADVANTAGES OF THE INVENTION
1. The NBEMT_HMFMote serves as the primary center for data collecting, utilizing a variety of sensors to acquire crucial operating data from electrospinning machines. In the medical filtering sector, this functionality permits real-time machine health and performance monitoring.
2. The NBEMR_HMFMote serves as a bridge between the cloud-based monitoring system and electrospinning machines, providing real-time insights into machine state and displaying crucial alarms. It improves monitoring capabilities in the medical filtering sector by enabling smooth contact with the tailored cloud server.
3. The nRF Module streamlines wireless connection between the cloud server and monitoring devices. In the field of medical filtration, this technology makes it possible for data to be transmitted smoothly, allowing for real-time analysis and monitoring of the health of electrospinning machines.
4. The MLX90614 Temperature Sensor, Humidity Sensor, and Vibration Sensor are essential components that offer vital information on the state of the machine, variations in temperature, and surrounding circumstances. Their integration adds to an all-encompassing monitoring strategy for medical filtration industry electrospinning machines.
5. By utilizing the ESP32 Wifi Module, smooth internet access is made possible, allowing monitoring devices and the cloud-based server to communicate. This feature guarantees remote access and real-time data transmission, improving the monitoring capabilities of electrospinning machines used in the medical filtering industry.
, Claims:1. A nrf-based monitoring hardware for electrospinning machine health in medical filtration industry comprises STM8 MCU Board (45), nRF Module (15), Vibration Sensor (40), MLX90614 Temperature Sensor (35), Humidity Sensor (30), RTC Module (20), and Power Supply (25) of the NBEMT_HMFMote (10) are utilized in the data collection process to obtain vital operational data from electrospinning machines through a variety of sensors, enabling real-time monitoring of machine health and performance in the medical filtering sector.
2. The machine as claimed in claim 1, wherein the NBEMR_HMFMote is used as an interface between the electrospinning machines and the cloud-based monitoring system, it is outfitted with an STM8 MCU Board, nRF Module, HMI Display, ESP32 Wifi Module, SD Card Module, Indicator, and Power Supply, it offers real-time insights into machine condition, displays critical alerts, and facilitates seamless communication with the customized cloud server in the medical filtration industry.
3. The machine as claimed in claim 1, wherein the two motes' integrated nRF modules allow for seamless data transmission for real-time monitoring and analysis of the health of electrospinning machines in the medical filtering sector by facilitating wireless communication between the monitoring devices and the cloud server.
4. The machine as claimed in claim 1, wherein the NBEMT_HMFMote is equipped with three sensors: the vibration sensor, the temperature sensor (MLX90614), and the humidity sensor, these sensors are used to provide vital information about the health of the machine, temperature variations, and environmental conditions, respectively, they also contribute to the thorough monitoring of electrospinning machines in the medical filtration sector.
5. The machine as claimed in claim 1, wherein the HMI Display, which is interfaced with the NBEMR_HMFMote, improves monitoring and decision-making capabilities for electrospinning machines in the medical filtration sector by providing operators with real-time viewing of crucial warnings and machine data.
6. The machine as claimed in claim 1, wherein to enable smooth internet connectivity and communication between the monitoring devices and the cloud-based server, the ESP32 WiFi Module integrated into NBEMR_HMFMote is used, this ensures real-time data transmission and remote access capabilities for monitoring electrospinning machines in the medical filtration industry.
Documents
Name | Date |
---|---|
202411089417-COMPLETE SPECIFICATION [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-DECLARATION OF INVENTORSHIP (FORM 5) [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-DRAWINGS [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-EDUCATIONAL INSTITUTION(S) [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-EVIDENCE FOR REGISTRATION UNDER SSI [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-FORM 1 [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-FORM FOR SMALL ENTITY(FORM-28) [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-FORM-9 [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-POWER OF AUTHORITY [19-11-2024(online)].pdf | 19/11/2024 |
202411089417-REQUEST FOR EARLY PUBLICATION(FORM-9) [19-11-2024(online)].pdf | 19/11/2024 |
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