AI-ENABLED REMOTE CONTROL, MONITORING AND FEEDBACK SYSTEM FOR TEXTILE COATING MACHINES WITH LORA, NRF MULTINETWORK COMMUNICATION, AND MQTT IOT INTEGRATION

Abstract

An ai-enabled remote control, monitoring and feedback system for textile coating machines with lora, nrf multinetwork communication, and mqtt iot integration comprises Edgelra Mote consists of a processing unit, a LoRa communication module, a GPS module, an accelerometer, a current sensor, a temperature sensor, and a power supply to allow for efficient data collection in real-time and also ensures the well-done long-distance wireless data transfer to a custom server which provides the ability for effective management of the coating machines for textiles the Edgelranrf Mote consisting of a processing unit, an nRF communication module, a LoRa module, an OLED display, and a power supply, provides the advantage of being able to present data onsite offers operators’ opportunities to view parameters of the machine for higher decision efficiency from the on-site and individuals from afar.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-enabled remote control, monitoring and feedback system for textile coating machines with lora, nrf multinetwork communication, and mqtt iot integration.
BACKGROUND OF THE INVENTION
This solution encases an improved strategy for the remote steering, overseeing, and obtaining feedback from the textile coating machines, coupled with communication and data transfer based on the IoT concept. The backbone is a distributed architecture where environmental, operational and motion sensor data are collected, processed and sent to the cloud for machine-learning analysis, artificial intelligence monitoring , and the AI-powered recommendation system of the predictive nature. Real time notifications, cognition and decisions are provided by a unified web UI and/or touch screens which allow the operators as well as authorized users to monitor essential machine parameters and operational indicators. The system is intended to be scalable and efficient, enabling it to fit easily into industrial processes and enable predictive maintenance and improve operations.
Some significant challenges face the textile coating industry including: the inefficient operations of their machines, the lack of real-time presence of an overseer, and lack of a predictive maintenance system which more often than not results to unnecessary system downtimes, high running costs and substandard goods. As one more point, the earlier described systems have poor possibilities for remote control and monitoring, so the operators and managers do not always attend to the needs quickly. An invention of this nature provides a solution to these problems with an efficient platform that enables real time monitoring, controlling and intelligent analytics which leads to management decision making, fast machine repair and better efficiency of the processes. It virtually enhances reliability and productivity of the operations with low manual interventions and risks associated by having advanced communication networks and AI insights integration.
WO2022041738A1: The invention relates to an automatic pulp adding device of a coating machine for use in the production of fluorine release film, relating to the technical field of coating machine production auxiliary equipment. The automatic pulp adding device of a coating machine for use in the production of fluorine release film comprises a support frame (1) and a material cylinder (2). A stirring assembly is provided inside the support frame (1). The stirring assembly comprises a liner (4) and a sleeve (11). A motor (5) is fixedly connected to one side of the top of the support frame (1). A drive shaft (7) is fixedly connected to the output end of the motor (5). A rotating shaft (10) is fixedly connected to the top end of the sleeve (11). The outer side of the top end of the drive shaft (7) and the end of the rotating shaft (10) extending out of the material cylinder (2) are each fixedly connected to a pulley (8). A belt (9) is sleeved on the outer sides of the two pulleys (8). Two sides of the inside of the sleeve (11) are each provided with a limiting groove (12). A reciprocating screw (13) is arranged inside the sleeve (11). The present automatic pulp adding device of a coating machine for use in the production of fluorine release film production improves the stirring effect, accelerates the output speed, and improves the working efficiency.
RESEARCH GAP: The integration of LoRa and nRF multinetwork communication with AI-driven predictive analytics for textile coating machine monitoring and control is the novelty of the system.
US11806736B2: A vertical internal coating machine is taught, which may be used with bodies such as cans (2 piece, 3 piece, draw, redraw) and including cylinders, containers and any similar body. In the machine cans or similar bodies are sprayed with the star wheel in continuous motion without stopping and starting. The machine teaches that a plurality of spray guns may be provided for each pocket of the star wheel. By means of the machine an improved line layout is devised which may eliminate the need to raise the bodies immediately prior to a necker by allowing the vertical can internal coating machine and internal bake oven to be disposed on any level of the facility, upper, lower, mezzanine, etc. In green aspects, the machine may use negative pressure cabinets/hoods and positive pressure tunnels to entrain volatile organic chemicals emitted by the spray guns and coated bodies and may send these VOCs to a VOC destruction device, such as an oven.
RESEARCH GAP: The integration of LoRa and nRF multinetwork communication with AI-driven predictive analytics for textile coating machine monitoring and control 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 advancement works as a system of multiple nodes that incorporates different modules to assist in the remote control, supervision and feedback for textile coating machines. The system is constructed employing distributed motes which are responsible for gathering significant information from the sensors for the monitoring of the state, the operations and the motion of the machines. These motes interact with one another using a variety of advanced communication networks that make it possible for the transmission of data over vast distances. Such nodes data is sent over the air to a specially designed cloud center through a strong and secure wireless interface. When the cloud server has been relayed the information, it is analyzed through machine learning algorithms with the hope of getting useful information and action points. Such information includes monitoring the status of the system, when maintenance is required, operational recommendations to improve overall performance. It processes the data it has gathered to detect anomalies, potential failure in the coming times, and the corrective measures to be taken - this reduces the down time as well as improving efficiency in the operations.
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 advancement works as a system of multiple nodes that incorporates different modules to assist in the remote control, supervision and feedback for textile coating machines. The system is constructed employing distributed motes which are responsible for gathering significant information from the sensors for the monitoring of the state, the operations and the motion of the machines. These motes interact with one another using a variety of advanced communication networks that make it possible for the transmission of data over vast distances. Such nodes data is sent over the air to a specially designed cloud center through a strong and secure wireless interface. When the cloud server has been relayed the information, it is analyzed through machine learning algorithms with the hope of getting useful information and action points. Such information includes monitoring the status of the system, when maintenance is required, operational recommendations to improve overall performance. It processes the data it has gathered to detect anomalies, potential failure in the coming times, and the corrective measures to be taken - this reduces the down time as well as improving efficiency in the operations.
Any raw data analysis components and results are presented in a single web-based control panel which is available to the operators and other authorized users. The dashboard allows users to view necessary metrics and alerts and recommendations in real time in a simple manner. In addition, the nodes of the system contain embedded displays, so the key information can be accessed locally, meaning that the operators do not have to rely completely on the central dashboard in order to monitor and operate machine processes. This system makes it possible to combine all three functions of data collection, data processing and data distribution and in such a way to meet several points of pain associated with textile coating operations and provide an efficient and agile response to the demands of the new industrial environment.
BEST METHOD OF WORKING
The Edgelra Mote consists of a processing unit, a LoRa communication module, a GPS module, an accelerometer, a current sensor, a temperature sensor, and a power supply to allow for efficient data collection in real-time and also ensures the well-done long-distance wireless data transfer to a custom server which provides the ability for effective management of the coating machines for textiles.
The Edgelranrf Mote consisting of a processing unit, an nRF communication module, a LoRa module, an OLED display, and a power supply, provides the advantage of being able to present data onsite offers operators' opportunities to view parameters of the machine for higher decision efficiency from the on-site and individuals from afar.
The NrfLra Mote consists of a good processing unit, an nRF communication module, a buzzer, an indicator LED, and a power supply which improves the reliability of the system through the provision of notifications on the status of the machine enabling quicker responses to machine situations which are very serious in nature,
The LoRa Module has a unique feature of providing a communication link between the Edgelra and Edgelranrf Motes which enables the two to transmit data over a long distance from the nodes to the server and this helps in overseeing control of the machines even in a big industry.
The Edgelranrf Mote includes an embedded OLED Display Interface that allows on-site operators to present the most important parameters and recommended actions from the system in real time, making it better situational awareness and eases operational tasks that have to be performed.
The nRFM Module designed for operation within Edgelranrf and NrfLra Motes provides equipment with capabilities of short-range data transmission between nodes and good networking and comes in handy for the integration of local and cloud-based monitoring related to the textile coating processes.
ADVANTAGES OF THE INVENTION
1. Utilizing advanced sensors embedded within the distributed nodes (Raspberry Pi, STM32, and Jetson Nano), the system is able to provide an accurate and timely response with regard to environmental, operational, and motion parameters as well as the ability to immediately detect any anomalies.
2. By integrating accelerometers, current sensors, and temperature sensors into the Jetson Nano and utilizing it for machine learning analytics, wear and tear are detected early and therefore eliminating unexpected downtime and associated maintenance costs.
3. Motlin's LoRa and nRF modules complement each other to provide long distance and robust data communication of the motes to the cloud server facilitating seamless performance even in the large scales of industries.
4. Thanks to the sophisticated AI processing capabilities available on the Jetson Nano, the system offers useful insights that include optimization strategies and any possible predictions of failures which assist in informed decision making.
5. The STM32 based motes embedded with a web dashboard and OLED displays enable operators and authorized personnel to monitor key metrics and suggestions exit remotely as well as locally, thus enhancing operational visibility.
, Claims:1. An ai-enabled remote control, monitoring and feedback system for textile coating machines with lora, nrf multinetwork communication, and mqtt iot integration comprises Edgelra Mote consists of a processing unit, a LoRa communication module, a GPS module, an accelerometer, a current sensor, a temperature sensor, and a power supply to allow for efficient data collection in real-time and also ensures the well-done long-distance wireless data transfer to a custom server which provides the ability for effective management of the coating machines for textiles.
2. The system as claimed in claim 1, wherein the Edgelranrf Mote consisting of a processing unit, an nRF communication module, a LoRa module, an OLED display, and a power supply, provides the advantage of being able to present data onsite offers operators' opportunities to view parameters of the machine for higher decision efficiency from the on-site and individuals from afar.
3. The system as claimed in claim 1, wherein the NrfLra Mote consists of a good processing unit, an nRF communication module, a buzzer, an indicator LED, and a power supply which improves the reliability of the system through the provision of notifications on the status of the machine enabling quicker responses to machine situations which are very serious in nature,
4. The system as claimed in claim 1, wherein the LoRa Module has a unique feature of providing a communication link between the Edgelra and Edgelranrf Motes which enables the two to transmit data over a long distance from the nodes to the server and this helps in overseeing control of the machines even in a big industry.
5. The system as claimed in claim 1, wherein the Edgelranrf Mote includes an embedded OLED Display Interface that allows on-site operators to present the most important parameters and recommended actions from the system in real time, making it better situational awareness and eases operational tasks that have to be performed.
6. The system as claimed in claim 1, wherein the nRFM Module designed for operation within Edgelranrf and NrfLra Motes provides equipment with capabilities of short-range data transmission between nodes and good networking and comes in handy for the integration of local and cloud-based monitoring related to the textile coating processes.

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