A COMPACT CLOUD HEALTH MONITORING SOLUTION FOR MOISTURE MANAGEMENT TESTING EQUIPMENT IN TEXTILE INDUSTRIES

Abstract

A compact cloud health monitoring system for moisture management testing equipment in textile industries comprises CHMTD_MTNode (100), which is outfitted with a Raspberry Pi Processor Board (100G), GSM Modem (100A), MEMS Vibration Sensor (100F), MLX90614 Sensor (100E), Current sensor (100D), Display (100B), and Power Supply (100C), this allows for proactive monitoring and maintenance of moisture management testing equipment in the textile industries the Raspberry Pi Processor Board, which is integrated into the CHMTD_MTNode, is used to process sensor data, execute pre-programmed analysis algorithms, and enable communication with the cloud server, this allows for proactive maintenance and real-time monitoring of moisture management testing apparatus in the textile industries order to provide remote monitoring and alerts for the condition and functionality of moisture management testing equipment in the textile industries, the GSM modem built into the CHMTD_MTNode is utilized to enable cellular connection for data transmission to the cloud server.

Specification

Description:FIELD OF THE INVENTION
This invention relates to a compact cloud health monitoring solution for moisture management testing equipment in textile industries
BACKGROUND OF THE INVENTION
This innovative solution offers a simple and efficient way to monitor the state and performance of moisture management testing apparatus used in the textile industry. By utilizing a variety of sensors and cloud-based IoT technologies, the system continuously collects and assesses important information, such as power consumption, temperature, and vibration levels. This development improves overall efficiency in textile production operations, reduces maintenance costs, and increases operational effectiveness.
The issue of the need for effective maintenance and monitoring of moisture management testing apparatus in textile industries is addressed by this innovation. In the past, operators have had trouble quickly locating and fixing problems with this equipment, which has led to potential downtime, increased maintenance costs, and subpar performance.
US10973701B2: A moisture management apparatus monitors an area for moisture events and wirelessly transmits moisture-related information to one or more notification devices. An embodiment of the moisture management apparatus includes a substrate and one or more sensors supported by the substrate. The sensor(s) emit wireless signals indicative of the moisture-related information. A sensor event communication system forwards the sensor signals to another device, such as a notification device. The sensor event communication system may monitor other types of patient events. Portions of the moisture management apparatus and/or the moisture event communication system may be embodied in a patient support apparatus, such as a bed.
RESEARCH GAP: An Wireless innovative solution equipped with IoT and Cloud Technology for the health monitoring of Moisture Management Testing Equipment in Textile Industries is the novelty of the system.
US9681996B2: A wetness sensor includes a self-supporting substrate and an electrically conductive trace carried by the substrate. The trace is patterned to provide at least a portion of a tuned RF circuit, which may be disposed on only one side of the substrate and characterized by an impedance or resistance. The trace is not self-supporting. The substrate is adapted to dissolve, swell, or otherwise degrade when contacted by a target fluid. Such degradation produces a drastic change in the operation of the RF circuit, which can be interpreted by a remote reader as a "wet" condition. Contact of the substrate by the target fluid may change the impedance or resistance of the RF circuit by at least a factor of 5, 10, 100, or 1000, and/or may cause the trace to disintegrate so as to provide the RF circuit with an open circuit, and/or may substantially render the RF circuit inoperative.
RESEARCH GAP: An Wireless innovative solution equipped with IoT and Cloud Technology for the health monitoring of Moisture Management Testing Equipment in Textile Industries 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.
Operators in the textile sector now have a comprehensive and proactive way to keep an eye on the health and functionality of moisture management testing apparatus thanks to the CHMTD_MTNode innovation. Important characteristics including vibration levels, temperature, and power consumption are continuously monitored by a number of sensors, including the MEMS Vibration Sensor, MLX90614 Sensor, and Current Sensor. This data is processed before being sent to the Raspberry Pi Processor Board of the CHMTD_MTNode. The Raspberry Pi Processor Board uses its computational powers to examine and understand the sensor data after it has been received. To identify patterns, trends, and anomalies in the data, preset algorithms are applied. This enables the early identification of possible problems or abnormalities in the equipment's functioning.
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.
Operators in the textile sector now have a comprehensive and proactive way to keep an eye on the health and functionality of moisture management testing apparatus thanks to the CHMTD_MTNode innovation. Important characteristics including vibration levels, temperature, and power consumption are continuously monitored by a number of sensors, including the MEMS Vibration Sensor, MLX90614 Sensor, and Current Sensor. This data is processed before being sent to the Raspberry Pi Processor Board of the CHMTD_MTNode. The Raspberry Pi Processor Board uses its computational powers to examine and understand the sensor data after it has been received. To identify patterns, trends, and anomalies in the data, preset algorithms are applied. This enables the early identification of possible problems or abnormalities in the equipment's functioning.
Concurrently, the CHMTD_MTNode connects to a customized cloud server created just for this invention. This cloud server allows for enhanced data processing, storage, and analysis while serving as a centralized repository for the collected sensor data. The processed sensor data is examined in greater detail within the cloud server to produce detailed insights into the functionality and condition of the moisture management testing apparatus. Based on predetermined algorithms, trending data charts, real-time monitoring updates, and data analysis findings are generated, giving operators important information about the state of the equipment.
In order to provide effective data visualization and communication, the CHMTD_MTNode integrates an HMI (display). Important notifications and noteworthy discoveries from the data analysis are displayed on this interface instantly, allowing operators to take immediate action in response to any problems or anomalies found. Additionally, operators have remote access to the gathered information and insights via a customized web dashboard user interface. Operators can receive thorough analysis results, real-time monitoring updates, and trending data from any internet-connected device by logging onto their accounts. The CHMTD_MTNode is also configured to notify operators via email when significant problems or occurrences are found during the monitoring process.
BEST METHOD OF WORKING
Real-time data collection, analysis, and communication between various sensors and the cloud server are made possible by the CHMTD_MTNode, which is outfitted with a Raspberry Pi Processor Board, GSM Modem, MEMS Vibration Sensor, MLX90614 Sensor, Current sensor, Display, and Power Supply. This allows for proactive monitoring and maintenance of moisture management testing equipment in the textile industries.
The Raspberry Pi Processor Board, which is integrated into the CHMTD_MTNode, is used to process sensor data, execute pre-programmed analysis algorithms, and enable communication with the cloud server. This allows for proactive maintenance and real-time monitoring of moisture management testing apparatus in the textile industries.
In order to provide remote monitoring and alerts for the condition and functionality of moisture management testing equipment in the textile industries, the GSM modem built into the CHMTD_MTNode is utilized to enable cellular connection for data transmission to the cloud server.
The CHMTD_MTNode is connected to the MEMS Vibration Sensor, MLX90614 Sensor, and Current Sensor. These sensors work together to monitor vital parameters like vibration levels, temperature, and power consumption of moisture management testing equipment. This data is essential for proactive maintenance and real-time health assessment in the textile industry.
The display attached to the CHMTD_MTNode serves as a visual interface that presents important alerts and real-time monitoring updates. This makes it possible for operators to evaluate the functionality and state of moisture management testing equipment in the textile industry with ease and speed.
ADVANTAGES OF THE INVENTION
1. The CHMTD_MTNode, which is at the center of this innovation, is essential to the smooth gathering, processing, and exchange of data between different sensors and the cloud server. The textile industries can now maintain and monitor moisture management testing equipment more proactively thanks to this connectivity.
2. The CHMTD_MTNode can now create a cellular connection to send data to the cloud server since the GSM Modem is installed. With regard to the condition and functionality of moisture management testing equipment in the textile industries, this capability ensures remote monitoring and alarms.
3. To monitor important characteristics including vibration levels, temperature, and power consumption of moisture management testing equipment, the MEMS Vibration Sensor, MLX90614 Sensor, and Current Sensor collaborate. In the textile industry, this collaborative effort yields vital data for preventative maintenance and real-time health evaluation.
4. The Display, which serves as a visual interface, is essential for displaying important notifications and updates on ongoing monitoring. With the help of this capability, operators in the textile industry can quickly and precisely assess the functionality and state of moisture management testing equipment.
, Claims:1. A compact cloud health monitoring system for moisture management testing equipment in textile industries comprises CHMTD_MTNode (100), which is outfitted with a Raspberry Pi Processor Board (100G), GSM Modem (100A), MEMS Vibration Sensor (100F), MLX90614 Sensor (100E), Current sensor (100D), Display (100B), and Power Supply (100C), this allows for proactive monitoring and maintenance of moisture management testing equipment in the textile industries.
2. The system as claimed in claim 1, wherein the Raspberry Pi Processor Board, which is integrated into the CHMTD_MTNode, is used to process sensor data, execute pre-programmed analysis algorithms, and enable communication with the cloud server, this allows for proactive maintenance and real-time monitoring of moisture management testing apparatus in the textile industries.
3. The system as claimed in claim 1, wherein order to provide remote monitoring and alerts for the condition and functionality of moisture management testing equipment in the textile industries, the GSM modem built into the CHMTD_MTNode is utilized to enable cellular connection for data transmission to the cloud server.
4. The system as claimed in claim 1, wherein the CHMTD_MTNode is connected to the MEMS Vibration Sensor, MLX90614 Sensor, and Current Sensor, these sensors work together to monitor vital parameters like vibration levels, temperature, and power consumption of moisture management testing equipment, this data is essential for proactive maintenance and real-time health assessment in the textile industry.
5. The system as claimed in claim 1, wherein the display attached to the CHMTD_MTNode serves as a visual interface that presents important alerts and real-time monitoring updates, this makes it possible for operators to evaluate the functionality and state of moisture management testing equipment in the textile industry with ease and speed.

Documents