IOT-ENABLED HEALTH MONITORING SYSTEM FOR DOUBLE COLUMN PORTAL MILLING MACHINE IN A COAL PLANT UTILIZING SX1272 RF TECHNOLOGY

Abstract

This sophisticated IoT-enabled health monitoring system uses cutting-edge SX1272 RF technology to enhance the operational efficiency, reliability, and safety of double column portal milling machines in coal-fired power plants. By integrating advanced sensors to continuously monitor vital machine parameters such as vibration and temperature, the system provides essential insights into machine health. Data collected by the IEHMS_MMCPTMote is transmitted via SX1272 RF technology to the IEHMS_MMCPRMote, which then relays information to cloud-based platforms through WiFi connectivity. This setup enables both local and remote monitoring, facilitating timely interventions that prevent unplanned downtimes and extend machine life. With its dual-node configuration, this system represents a significant advancement in the remote monitoring and maintenance of industrial machinery.

Specification

Description:FIELD OF THE INVENTION
This invention relates to IoT-Enabled Health Monitoring System for Double Column Portal Milling Machine in a Coal Plant Utilizing SX1272 RF Technology
BACKGROUND OF THE INVENTION
The urgent need to provide effective health monitoring for double column portal milling machines in coal plants is addressed by this innovation. These devices are essential to many industrial processes, but they are also vulnerable to operational difficulties and mechanical failures that can cause downtime, reduced output, and safety hazards.
CN101334666B - Provided The invention discloses an optimum dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation control method. The method obtains the material position of the coal grinding machine after carrying out soft-measurement processing by collecting the noise material position of the coal grinding machine, the material position of pressure difference, the current of the coal grinding machine, one-time air quantity, one-time opening of the hot wind door and the cold wind door of an inlet, inlet temperature and outlet temperature; the control comprises material position control, air quantity capacity control, bypass air quantity control and the temperature control of the inlet and the outlet; the material position is optimized and the best material position of the coal grinding machine is searched online so as to ensure the combustion safety of the boiler and coal powder supply quantity when the load of the boiler is adjusted. The boiler combustion is optimized: according to the boiler technology, the load and the running working conditions, the powder supply quantity and the ventilation quantity of each coal grinding machine are optimized and the combustion efficiency of the boiler is improved. Malfunction diagnosis, running evaluation and analysis are carried out to the system and reasonable suggestions are provided so as to ensure the system to run continuously, stably, safely and economically; the optimum dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation control method is widely applied to the dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation system or industrial similar systems in other industries.
Research Gap: SX1272 RF and IoT-Enabled Technology for Health Monitoring System for Double Column Portal Milling Machine is the novelty of the system.
CN101334666B - The invention discloses an optimum dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation control method. The method obtains the material position of the coal grinding machine after carrying out soft-measurement processing by collecting the noise material position of the coal grinding machine, the material position of pressure difference, the current of the coal grinding machine, one-time air quantity, one-time opening of the hot wind door and the cold wind door of an inlet, inlet temperature and outlet temperature; the control comprises material position control, air quantity capacity control, bypass air quantity control and the temperature control of the inlet and the outlet; the material position is optimized and the best material position of the coal grinding machine is searched online so as to ensure the combustion safety of the boiler and coal powder supply quantity when the load of the boiler is adjusted. The boiler combustion is optimized: according to the boiler technology, the load and the running working conditions, the powder supply quantity and the ventilation quantity of each coal grinding machine are optimized and the combustion efficiency of the boiler is improved. Malfunction diagnosis, running evaluation and analysis are carried out to the system and reasonable suggestions are provided so as to ensure the system to run continuously, stably, safely and economically; the optimum dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation control method is widely applied to the dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation system or industrial similar systems in other industries.
Research Gap: SX1272 RF and IoT-Enabled Technology for Health Monitoring System for Double Column Portal Milling 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.
This innovative technology is an essential tool for monitoring the state of double column portal milling machines in coal-fired power plants. It makes it easier to continuously collect and analyze vital machine health parameters, such vibration and temperature, by utilizing cutting-edge IoT technology. This invention improves machine performance and makes prompt interventions easier, which increases efficiency, dependability, and safety in coal plant operations.
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.
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 IEHMS_MMCPTMote and the IEHMS_MMCPRMote are comprised of these. The main data gathering device is the IEHMS_MMCPTMote, which is equipped with an STM32 Processor Board, SX1272 RF Module, temperature sensor, MEMS vibration sensor, and power supply. It is positioned on the milling machine so that it may continuously collect vital health-related data. While the MEMS vibration sensor looks for any odd vibrations that would point to a mechanical problem, the temperature sensor keeps an eye on the machine's internal temperature. When combined, these sensors offer a thorough picture of the double column milling machine's state of operation. To complement data collection, the IEHMS_MMCPRMote concurrently adds remote monitoring features. This device facilitates data transfer and communication between motes with its LCD display, power supply, ESP01 WiFi Board, STM32 Processor Board, and SX1272 RF Module. Additionally, the ESP01 WiFi Board has internet connectivity, enabling operators to use a customized web dashboard to remotely access the monitoring system from any internet-connected device. Additionally, the LCD display provides local real-time updates, enabling quick response when required.
Temperature and vibration readings are just two of the data that the IEHMS_MMCPTMote continuously gathers from the milling machine while it is in use. Using the SX1272 RF Module, this data is wirelessly sent to the IEHMS_MMCPRMote. Next, the information is shown locally on the LCD screen for real-time observation or sent online via the ESP01 WiFi Board for access from a distance. Operators can quickly spot any anomalies or any problems with the milling machine's functioning by analyzing the data in real-time. In coal plants, this proactive approach to maintenance maximizes productivity and reduces downtime, which eventually improves industrial environments' dependability and efficiency.
BEST METHOD OF WORKING
1. The data collection unit, IEHMS_MMCPTMote, is outfitted with an STM32 Processor Board, an SX1272 RF Module, a temperature sensor, a MEMS vibration sensor, and a power supply. It collects vital health-related data, including vibration levels and temperature, from double column portal milling machines in coal plants, facilitating proactive maintenance and real-time monitoring.
2. Using internet connectivity and a customized web dashboard, the IEHMS_MMCPRMote, outfitted with an STM32 Processor Board, SX1272 RF Module, ESP01 Wifi Board, LCD display, and Power Supply, enables remote monitoring and access to the health status of double column portal milling machines in coal plants, guaranteeing prompt intervention and machine performance optimization.
3. The IEHMS_MMCPTMote and IEHMS_MMCPRMote both use the STM32 Processor Board as their central processing unit, allowing for effective data handling and communication features that are necessary for the real-time monitoring of double column portal milling machines in coal plants.
4. The IEHMS_MMCPTMote and IEHMS_MMCPRMote are integrated with the SX1272 RF Module, which allows for wireless communication between the two. This makes it easier to transmit critical health-related data for the real-time monitoring and analysis of double column portal milling machines in coal plants.
5. The temperature sensor, which is integrated with IEHMS_MMCPTMote, keeps an eye on the temperature of the double column portal milling machines in coal plants. This data is vital for determining the health of the machine and assisting with preventive maintenance.
6. The MEMS Vibration sensor is connected with IEHMS_MMCPTMote to identify anomalous vibrations in coal plant double column portal milling machines. This allows for the early identification of probable mechanical difficulties and real-time monitoring of machine health.
7. A customized online dashboard allows for remote monitoring and access to the health status of double column portal milling machines in coal plants thanks to the integration of the ESP01 WiFi Board with IEHMS_MMCPRMote, which provides internet connectivity.
8. The IEHMS_MMCPRMote-integrated LCD display allows operators to monitor and intervene quickly by providing on-site visualization of real-time health status updates for double column portal milling machines in coal plants.
9. To power the components and maintain continuous monitoring of double column portal milling machines in coal plants, the power supply plugs into both IEHMS_MMCPTMote and IEHMS_MMCPRMote.
ADVANTAGES OF THE INVENTION
1. The major data gathering device in coal plants is the IEHMS_MMCPTMote, which gathers critical health-related data from double column portal milling machines such as temperature and vibration levels. This allows for real-time preventive maintenance and continuous monitoring programs.
2. The IEHMS_MMCPRMote, which has internet connectivity and a personalized web dashboard, allows for remote monitoring and access to the condition of double column portal milling machines in coal plants, guaranteeing prompt intervention and machine performance optimization.
3. Efficient data handling and communication features necessary for real-time monitoring of double column portal milling machines in coal plants are ensured by using the STM32 Processor Board as the core processing unit in both IEHMS_MMCPTMote and IEHMS_MMCPRMote.
4. The SX1272 RF Module makes it possible for the IEHMS_MMCPTMote and IEHMS_MMCPRMote to communicate wirelessly, allowing the transfer of critical health-related data for real-time observation and examination of the double column portal milling machines in coal plants.
5. The Temperature sensor, which is integrated into the IEHMS_MMCPTMote, keeps an eye on the thermal conditions of the double column portal milling machines in coal plants. This data is essential for assessing the health of the machine and facilitating preventive maintenance.
6. The MEMS vibration sensor, which is included into the IEHMS_MMCPTMote, detects anomalous vibrations in double column portal milling machines in coal plants. This allows for the early detection of potential mechanical faults and real-time monitoring of machine health.
7. The IEHMS_MMCPRMote, which integrates the ESP01 Wifi Board, guarantees internet connectivity, allowing for remote monitoring and access to the condition of the double column portal milling machines in coal plants via a customized web dashboard.
8. The LCD display of the IEHMS_MMCPRMote offers operators on-site visibility of real-time health status updates for double column portal milling machines in coal plants, enabling them to take prompt action and efficiently monitor the situation.
, Claims:We Claim:
1. An IoT-enabled health monitoring system for double column portal milling machines in coal-fired power plants, comprising:
• An IEHMS_MMCPTMote (220) equipped with an STM32 Processor Board (225), SX1272 RF Module (224), MEMS Vibration Sensor (222), Temperature Sensor (221), and Power Supply (223) for collecting critical health-related data including temperature and vibration signals from the milling machines; and
• An IEHMS_MMCPRMote (320) equipped with an STM32 Processor Board (325), SX1272 RF Module (324), ESP01 WiFi Board (321), LCD Display (322), and Power Supply (323) for wireless data reception, on-site visualization, and remote monitoring through internet connectivity, thereby enabling real-time health assessment and preventive maintenance of the machines.
2. The system, as claimed in Claim 1, wherein the IEHMS_MMCPTMote (220) continuously collects critical health data from the milling machine, including vibration and temperature readings, to facilitate early detection of potential issues and enable preventative maintenance strategies.
3. The system, as claimed in Claim 1, wherein the IEHMS_MMCPRMote (320) enhances remote monitoring capabilities by using the ESP01 WiFi Board (321) to transmit data to a cloud-based server, enabling real-time access and analysis of machine health through a customized web dashboard.
4. The system, as claimed in Claim 1, wherein the SX1272 RF Modules (224, 324) provide robust wireless communication between the IEHMS_MMCPTMote (220) and IEHMS_MMCPRMote (320), ensuring reliable data transmission over long distances within the plant environment.
5. The system, as claimed in Claim 1, wherein the LCD Display (322) on the IEHMS_MMCPRMote (320) provides real-time visual feedback on the machine's health status, aiding on-site operators in making informed decisions regarding machine operations and maintenance.

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