AN EXTERNAL ONLINE DEVICE TO CONTINUOUS CONDITION MONITORING OF GAS TURBINE WITHIN POWER PLANTS

Abstract

An external online device to continuous condition monitoring of gas turbine within power plants comprises ODTXM_CCMNode (100), which is outfitted with an STM32 Board (107), an ESP01 WiFi Module (106), a MEMS vibration sensor (105), temperature (105), pressure (104), humidity (103), and HMI display (101), as well as a buzzer and power supply (102), this allows for the seamless integration of cutting-edge sensors with cloud-based technologies to enable real-time data collection, processing, and presentation for the continuous condition monitoring of gas turbines in power plants, which promotes proactive decision-making and optimal maintenance plans. The innovation's core processing unit, the STM32 Board, coordinates the integration of multiple sensors and enables smooth communication with the ESP01 WiFi Module to guarantee effective data collection and transmission for ongoing condition monitoring of gas turbines in power plants.

Specification

Description:FIELD OF THE INVENTION
This invention relates to an external online device to continuous condition monitoring of gas turbine within power plants.
BACKGROUND OF THE INVENTION
This innovative solution uses cutting-edge IoT and cloud-based technology to revolutionize the monitoring and management of gas turbines in power plants. It does this by smoothly integrating a number of sensors that monitor vibration, temperature, pressure, and humidity, among other things. The continuous real-time data collection from the gas turbine is made possible by this integrated system. The data is then sent to a specialized cloud server, where an advanced machine learning algorithm processes and evaluates it. A user-friendly web dashboard is then used to present the results, giving operators remote access to live data visualizations, trending information, and in-depth analyses.
Effectively monitoring and controlling the operational state of gas turbines in power plants presents a substantial problem for the power production industry. Modern technologies are sometimes absent from monitoring systems, which makes it difficult to assess vital metrics like vibration, temperature, pressure, and humidity in real time. Lack of monitoring skills can cause problems to go unnoticed, which can result in poor performance, increased downtime, and higher maintenance costs.
WO2010147003A1: Provided is a solar thermal gas turbine power plant in which the thermal efficiency is improved by enabling power generation by a steam turbine even if the operation of a solar thermal gas turbine is stopped due to the reduction in the intensity of sunlight. The solar thermal gas turbine power plant is provided with a solar thermal gas turbine which is provided with a compressor, a heat receiver, and a turbine; an electric generator which is driven by the solar thermal gas turbine to generate electricity; and a steam power generation cycle in which high temperature air discharged from the turbine is introduced into a steam generator and a steam turbine which is driven by the steam generated by the steam generator drives an electric generator to generate electricity. A solar thermal steam generator which generates steam by heating using heat collected by a light collector is provided on the upstream of the steam turbine in the steam power generation cycle. The distribution ratio at which the sunlight collected by the light collector is distributed to the heat receiver and the solar thermal steam generator is adjusted in accordance with the intensity of the sunlight.
RESEARCH GAP: An innovation integrated with IoT and Cloud for online condition monitoring for Gas Turbine within Power Plant is the novelty of the system.
US8312703B2: A solar-thermal gas turbine generator is equipped with a compressor, a heat receiver, and a turbine. Additionally, there is a generator that is driven by the solar-thermal gas turbine to generate power; and a steam power generation cycle in which high-temperature air exhausted from the turbine is introduced into a steam generator and in which a steam turbine that is operated with steam generated at the steam generator drives a generator to generator power, wherein a solar-thermal steam generator that generates steam by being heated with heat collected by the light collector is provided upstream of the steam turbine of the steam power generation cycle, and a distribution ratio for distributing the sunlight collected by the light collector to the heat receiver and the solar-thermal steam generator is adjusted in accordance with the sunlight intensity.
RESEARCH GAP: An innovation integrated with IoT and Cloud for online condition monitoring for Gas Turbine within Power Plant 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.
In addition to collecting and transmitting real-time data from gas turbines, the EODTXM_CCMNode innovation also makes use of sophisticated analytics and visualization capabilities to provide operators with insightful information. The EODTXM_CCMNode is a sophisticated system that combines a range of sensors and state-of-the-art technologies to monitor gas turbines in power plants continuously. The STM32 Board, ESP01 WiFi Module, Temperature Sensor, Humidity Sensor, Pressure Sensor, MEMS Vibration Sensor, HMI Display, Buzzer, and Power Supply are its main parts. The process flow of the system starts with the sensors gathering vital information about the vibration levels, temperature, pressure, and humidity of the gas turbine. This extensive dataset is essential for keeping track of the turbine's operational state. Using the ESP01 Wifi Module, the gathered data is sent to a cloud server that has been expressly created to enable real-time data transfer and communication.
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.
In addition to collecting and transmitting real-time data from gas turbines, the EODTXM_CCMNode innovation also makes use of sophisticated analytics and visualization capabilities to provide operators with insightful information. The EODTXM_CCMNode is a sophisticated system that combines a range of sensors and state-of-the-art technologies to monitor gas turbines in power plants continuously. The STM32 Board, ESP01 WiFi Module, Temperature Sensor, Humidity Sensor, Pressure Sensor, MEMS Vibration Sensor, HMI Display, Buzzer, and Power Supply are its main parts. The process flow of the system starts with the sensors gathering vital information about the vibration levels, temperature, pressure, and humidity of the gas turbine. This extensive dataset is essential for keeping track of the turbine's operational state. Using the ESP01 Wifi Module, the gathered data is sent to a cloud server that has been expressly created to enable real-time data transfer and communication.
Once on the cloud server, the real-time data is processed by a pre-programmed machine learning algorithm that finds patterns or abnormalities in the gas turbine's activity and extracts valuable insights. The integration of machine learning improves the system's capacity to deliver precise and prompt evaluations of the turbine's state. To facilitate comprehension and decision-making, processed data is presented in a variety of ways. The EODTXM_CCMNode's embedded HMI Display serves as a local interface, providing the operator with real-time data charts and pertinent information. In addition, an operator-accessible customized online dashboard allows them to remotely monitor the turbine's operation using user credentials. This web dashboard provides a full overview of the gas turbine's status with real-time trending data, extensive data analysis over time, and other pertinent parameters. The system includes a buzzer as an audible alert mechanism in addition to visual data display. This mechanism notifies users right away in the event that severe conditions or irregularities in the gas turbine's functioning are discovered.
BEST METHOD OF WOKING
The central hub for monitoring and communication is the ODTXM_CCMNode, which is outfitted with an STM32 Board, an ESP01 WiFi Module, a MEMS vibration sensor, temperature, pressure, humidity, and HMI display, as well as a buzzer and power supply. This allows for the seamless integration of cutting-edge sensors with cloud-based technologies to enable real-time data collection, processing, and presentation for the continuous condition monitoring of gas turbines in power plants, which promotes proactive decision-making and optimal maintenance plans.
The innovation's core processing unit, the STM32 Board, coordinates the integration of multiple sensors and enables smooth communication with the ESP01 WiFi Module to guarantee effective data collection and transmission for ongoing condition monitoring of gas turbines in power plants.
The ODTXM_CCMNode's integrated ESP01 WiFi Module allows for the smooth wireless transfer of real-time data gathered by sensors from the gas turbine to a customized cloud server, enabling remote monitoring and analysis as part of the power plant's continuous condition monitoring system.
By capturing key parameters necessary for performance analysis and early issue detection, the MEMS Vibration Sensor, Temperature Sensor, Pressure Sensor, and Humidity Sensor-all of which are connected to the ODTXM_CCMNode-combine to provide an extensive suite of data that enables precise and continuous monitoring of gas turbine conditions within power plants.
A localized interface is provided by the HMI Display, which is interfaced on the ODTXM_CCMNode. It gives operators direct access to real-time data, live charts, and important information, improving their ability to monitor and make decisions about the status of gas turbines in power plants.
The power supply, which is externally plugged into each of the two motes, is what keeps the EODTXM_CCMNode running consistently and dependably. It supplies the electricity required for the integrated sensors, processing unit, and communication modules, allowing for continuous condition monitoring of gas turbines in power plants.
ADVANTAGES OF THE INVENTION
1. The cloud-based technologies and sophisticated sensors are smoothly integrated by the ODTXM_CCMNode, which serves as the central hub for monitoring and communication. Through real-time data collection, processing, and display made possible by this integration, gas turbine condition monitoring in power plants may be done continuously. This method encourages proactive decision-making and well-thought-out maintenance plans.
2. The real-time data gathered by sensors from the gas turbine is seamlessly transmitted to a customized cloud server via the ESP01 Wifi Module, which acts as the wireless communication bridge. Within the power plant continuous condition monitoring system, this capability allows for remote monitoring and analysis.
3. The combination of the temperature, pressure, humidity, and MEMS vibration sensors yields a complete data set. This suite captures critical metrics necessary for performance analysis and early issue detection, enabling accurate and continuous monitoring of gas turbine conditions within power plants.
4. The HMI Display serves as a localized interface that gives operators easy access to real-time data, live charts, and important information. This improves decision-making and on-site monitoring for gas turbine conditions in power plants.
, Claims:1. An external online device to continuous condition monitoring of gas turbine within power plants comprises ODTXM_CCMNode (100), which is outfitted with an STM32 Board (107), an ESP01 WiFi Module (106), a MEMS vibration sensor (105), temperature (105), pressure (104), humidity (103), and HMI display (101), as well as a buzzer and power supply (102), this allows for the seamless integration of cutting-edge sensors with cloud-based technologies to enable real-time data collection, processing, and presentation for the continuous condition monitoring of gas turbines in power plants, which promotes proactive decision-making and optimal maintenance plans.
2. The device as claimed in claim 1, wherein the innovation's core processing unit, the STM32 Board, coordinates the integration of multiple sensors and enables smooth communication with the ESP01 WiFi Module to guarantee effective data collection and transmission for ongoing condition monitoring of gas turbines in power plants.
3. The device as claimed in claim 1, wherein the ODTXM_CCMNode's integrated ESP01 WiFi Module allows for the smooth wireless transfer of real-time data gathered by sensors from the gas turbine to a customized cloud server, enabling remote monitoring and analysis as part of the power plant's continuous condition monitoring system.
4. The device as claimed in claim 1, wherein by capturing key parameters necessary for performance analysis and early issue detection, the MEMS Vibration Sensor, Temperature Sensor, Pressure Sensor, and Humidity Sensor all of which are connected to the ODTXM_CCMNode combine to provide an extensive suite of data that enables precise and continuous monitoring of gas turbine conditions within power plants.
5. The device as claimed in claim 1, wherein a localized interface is provided by the HMI Display, which is interfaced on the ODTXM_CCMNode; and it gives operators direct access to real-time data, live charts, and important information, improving their ability to monitor and make decisions about the status of gas turbines in power plants.
6. The device as claimed in claim 1, wherein the power supply, which is externally plugged into each of the two motes, is what keeps the EODTXM_CCMNode running consistently and dependably, it supplies the electricity required for the integrated sensors, processing unit, and communication modules, allowing for continuous condition monitoring of gas turbines in power plants.

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