HEALTH MONITORING OF ENERGY SECTOR BOREHOLE DIGGING HORIZONTAL BORING MILLS VIA NRF INTEGRATED RF NETWORK

Abstract

A system of Health Monitoring of Energy Sector Borehole Digging Horizontal Boring Mills via nRF Integrated RF Network comprises ESBD_HBTNode, which is outfitted with an ATmega32 Board, nRF Module, Vibration Sensor, Temperature Sensor, 9 Axis Accelerometer, Pressure Sensor, Indicator, and Power Supply; and this allows for the seamless transmission of real-time data on vibration, temperature, acceleration, and pressure from horizontal boring mills in the energy sector to a cloud server for extensive health monitoring and analysis.TheESBD_HBRNode, which is outfitted with an ATmega32 Board, a nRF Module, a NuttyFiWiFi Board, a TFT Display, a Piezo Buzzer, and a Power Supply, is utilized to promote the integration of horizontal boring mills with the cloud server, furnish operators with real-time insights via a TFT Display, and guarantee prompt alerts via a Piezo Buzzer, stemming from the data analyzed from the Internet of Things-based health monitoring system.TheESBD_HBTNode and ESBD_HBRNode's ATmega32 Board, which is integrated into both nodes, provides the computational power to gather, process, and transmit data from a variety of sensors, enhancing the system's overall functionality as a health monitoring system for horizontal boring mills in the energy industry.

Specification

Description:FIELD OF THE INVENTION
This invention relates to the Health Monitoring of Energy Sector Borehole Digging Horizontal Boring Mills via nRF Integrated RF Network
BACKGROUND OF THE INVENTION
The goal of this invention is to address the problem that exists in the energy industry due to the lack of comprehensive and effective health monitoring systems for horizontal boring mills. Traditional monitoring techniques often fall short in providing up-to-date information about the state and performance of these vital instruments. Without a specific remedy, managers and officials struggle to recognize possible problems, keep an eye on various metrics, and guarantee the mills are operating at maximum efficiency.
US10851599B2 - A spindle assembly for connecting a drill string to a rotational drive for use in a horizontal directional drilling operation. The assembly comprises a saver sub attached to the rotational drive, and a drive chuck for connection to the drill string. The drive chuck and saver sub form a torque-transmitting connection by engaging through a seat in the saver sub and an engagement point on the drive chuck. Dowel pins may be used to rotationally lock and provide the engagement between the saver sub and the drive chuck. A collar may thread to the saver sub and cause an interference fit by engaging the drive chuck at a shoulder.
Research Gap: A nRF integrated IoT Solution with cloud access for automation of Energy Sector Borehole Digging Horizontal Boring Mills is the novelty of the system.
US9598905B2 - The present disclosure provides a drill drive unit and drill string make up and break up unit with a method for use with a dual pipe drill string configuration. The drill drive unit is mounted to a single carriage and includes an outer drive spindle in a position fixed to the carriage with inner drive spindle configured to rotate independent of the outer drive spindle while being able to move longitudinally at least 12 inches relative to the outer drive spindle. The method involves connecting and disconnecting inner shafts and outer shafts of the dual pipe drill string.
Research Gap: A nRF integrated IoT Solution with cloud access for automation of Energy Sector Borehole Digging Horizontal Boring Mills 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.
The goal of this innovative device is to revolutionize the way that horizontal boring mill health monitoring is done in the energy industry. The technology collects critical data from various sensors installed on the boring mills, including temperature, pressure, vibration, and acceleration sensors, by means of a linked network of nodes. Real-time data is captured and easily sent to a specialized cloud server, where sophisticated algorithms carefully examine and interpret the data. Following that, the results are shown on an intuitive web dashboard that allows operators and authorities to monitor metrics, spot trends, and get alerts quickly when something is out of the ordinary.
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.
There are two nodes in the network that make up the Health Monitoring System for Horizontal Boring Mills in the Energy Sector: ESBD_HBTNode and ESBD_HBRNode. Important information on the condition and functionality of the boring mill is gathered by the ESBD_HBTNode, which is outfitted with an ATmega32 Board, nRF Module, Vibration Sensor, Temperature Sensor, 9-Axis Accelerometer, Pressure Sensor, Indicator, and Power Supply. After data collection, the nRF Module is utilized by the ESBD_HBTNode to facilitate communication, sending the obtained data to a cloud server that is specifically intended for this use. With customized algorithms installed, the cloud server performs data analytics to decipher sensor data, tracking several parameters, identifying patterns, and evaluating the horizontal boring mill's general condition.
The ATmega32 Board, nRF Module, NuttyFiWiFi Board, TFT Display, Piezo Buzzer, and Power Supply of the ESBD_HBRNode manage communication and user interface simultaneously. The nRF Module permits communication between nodes, while the NuttyFiWiFi Board enables connectivity to the cloud server. As real-time indicators, the TFT Display and Piezo Buzzer give operators a quick understanding of how the milling operation is progressing. The cloud server, having analyzed the data, delivers the conclusions on a customized online dashboard available to operators and necessary authorities. This dashboard gives a thorough picture of the state of the boring mill by displaying trend analysis, parameter monitoring, and health status. Triggered by pre-established algorithms, alerts guarantee prompt notifications in case of possible problems or deviance from ideal performance.
BEST METHOD OF WORKING
1. A variety of sensors are incorporated into the ESBD_HBTNode, which is outfitted with an ATmega32 Board, nRF Module, Vibration Sensor, Temperature Sensor, 9 Axis Accelerometer, Pressure Sensor, Indicator, and Power Supply. This allows for the seamless transmission of real-time data on vibration, temperature, acceleration, and pressure from horizontal boring mills in the energy sector to a cloud server for extensive health monitoring and analysis.
2. The ESBD_HBRNode, which is outfitted with an ATmega32 Board, a nRF Module, a NuttyFiWiFi Board, a TFT Display, a Piezo Buzzer, and a Power Supply, is utilized to promote the integration of horizontal boring mills with the cloud server, furnish operators with real-time insights via a TFT Display, and guarantee prompt alerts via a Piezo Buzzer, stemming from the data analyzed from the Internet of Things-based health monitoring system.
3. The ESBD_HBTNode and ESBD_HBRNode's ATmega32 Board, which is integrated into both nodes, provides the computational power to gather, process, and transmit data from a variety of sensors, enhancing the system's overall functionality as a health monitoring system for horizontal boring mills in the energy industry.
4. Both of the motes include the nRF Module, which is utilized to enable smooth communication between the ESBD_HBTNode and the ESBD_HBRNode. This integrated RF network makes it possible to transmit real-time data from horizontal boring mills to the cloud server efficiently, guaranteeing a reliable and networked IoT-based health monitoring system for the energy industry.
5. The energy sector can monitor horizontal boring mills in great detail thanks to the Vibration Sensor, Temperature Sensor, 9 Axis Accelerometer, and Pressure Sensor, which are all integrated into ESBD_HBTNode. These sensors record real-time information on mechanical vibrations, temperature fluctuations, three-dimensional acceleration, and pressure levels, which helps determine the health and performance of the mills.
6. To ensure real-time data transmission, smooth communication between horizontal boring mills and the cloud server, and improved accessibility of health monitoring information for energy sector operators, the NuttyFiWiFi Board, which is integrated into ESBD_HBRNode, is utilized to facilitate wireless connectivity.
7. The TFT Display, which is interfaced with the ESBD_HBRNode, shows analytics, parameter monitoring, and alerts from the IoT-based health monitoring system in the energy sector to give operators real-time visual feedback on the condition and performance of horizontal boring mills.
8. To ensure the continuous and dependable operation of the health monitoring system for horizontal boring mills in the energy sector, the Power Supply, which is a plugin in both the ESBD_HBTNode and the ESBD_HBRNode, supports the functionality of various components and sensors to sustain continuous data collection, transmission, and display.
ADVANTAGES OF THE INVENTION
1. The ESBD_HBTNode, which incorporates a range of sensors to record vibration, temperature, acceleration, and pressure data in real time from horizontal boring mills in the energy sector, plays a pivotal role in this breakthrough. This permits smooth transfer to a cloud server for extensive health analysis and monitoring.
2. Horizontal boring mill connection with the cloud server is made easier by the ESBD_HBRNode, which serves as the hub for communication and user interface. Based on data analysis from the Internet of Things-based health monitoring system, it gives operators real-time insights via a TFT Display and guarantees prompt alarms with the Piezo Buzzer.
3. By facilitating seamless connection between ESBD_HBTNode and ESBD_HBRNode, the nRF Module creates an integrated radio frequency network that makes it possible to transmit real-time data from horizontal boring mills to the cloud server in an effective manner. This guarantees the energy industry a resilient and networked IoT-based health monitoring system.
4. The ESBD_HBTNode's combined Vibration Sensor, Temperature Sensor, 9-Axis Accelerometer, and Pressure Sensor provide for thorough monitoring of horizontal boring mills in the energy industry. They contribute to an accurate evaluation of the mills' performance and health by collecting real-time data on pressure levels, temperature fluctuations, three-dimensional acceleration, and mechanical vibrations.
5. The ESBD_HBRNode'sNuttyFiWiFi Board enables wireless networking, allowing horizontal boring mills and the cloud server to communicate seamlessly. This guarantees the transfer of data in real-time and improves the availability of health monitoring data for energy sector operators.
6. The ESBD_HBRNode's TFT Display functions as a user interface, giving operators visual input in real time on the functionality and condition of horizontal boring mills. It shows data, parameter tracking, and notifications from the energy industry's Internet of Things-based health monitoring system.
, Claims:1. A system of Health Monitoring of Energy Sector Borehole Digging Horizontal Boring Mills via nRF Integrated RF Network comprises ESBD_HBTNode, which is outfitted with an ATmega32 Board, nRF Module, Vibration Sensor, Temperature Sensor, 9 Axis Accelerometer, Pressure Sensor, Indicator, and Power Supply; and this allows for the seamless transmission of real-time data on vibration, temperature, acceleration, and pressure from horizontal boring mills in the energy sector to a cloud server for extensive health monitoring and analysis.
2. The system as claimed in claim 1, wherein the ESBD_HBRNode, which is outfitted with an ATmega32 Board, a nRF Module, a NuttyFiWiFi Board, a TFT Display, a Piezo Buzzer, and a Power Supply, is utilized to promote the integration of horizontal boring mills with the cloud server, furnish operators with real-time insights via a TFT Display, and guarantee prompt alerts via a Piezo Buzzer, stemming from the data analyzed from the Internet of Things-based health monitoring system.
3.The system as claimed in claim 1, wherein the ESBD_HBTNode and ESBD_HBRNode's ATmega32 Board, which is integrated into both nodes, provides the computational power to gather, process, and transmit data from a variety of sensors, enhancing the system's overall functionality as a health monitoring system for horizontal boring mills in the energy industry.
4.The system as claimed in claim 1, wherein both of the motes include the nRF Module, which is utilized to enable smooth communication between the ESBD_HBTNode and the ESBD_HBRNode; and this integrated RF network makes it possible to transmit real-time data from horizontal boring mills to the cloud server efficiently, guaranteeing a reliable and networked IoT-based health monitoring system for the energy industry.
5.The system as claimed in claim 1, wherein the energy sector can monitor horizontal boring mills in great detail thanks to the Vibration Sensor, Temperature Sensor, 9 Axis Accelerometer, and Pressure Sensor, which are all integrated into ESBD_HBTNode; and these sensors record real-time information on mechanical vibrations, temperature fluctuations, three-dimensional acceleration, and pressure levels, which helps determine the health and performance of the mills.
6.The system as claimed in claim 1, wherein to ensure real-time data transmission, smooth communication between horizontal boring mills and the cloud server, and improved accessibility of health monitoring information for energy sector operators, the NuttyFiWiFi Board, which is integrated into ESBD_HBRNode, is utilized to facilitate wireless connectivity.
7.The system as claimed in claim 1, wherein the TFT Display, which is interfaced with the ESBD_HBRNode, shows analytics, parameter monitoring, and alerts from the IoT-based health monitoring system in the energy sector to give operators real-time visual feedback on the condition and performance of horizontal boring mills.
8.The system as claimed in claim 1, wherein to ensure the continuous and dependable operation of the health monitoring system for horizontal boring mills in the energy sector, the Power Supply, which is a plugin in both the ESBD_HBTNode and the ESBD_HBRNode, supports the functionality of various components and sensors to sustain continuous data collection, transmission, and display.

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