CLOUD-BASED HYDRAULIC OIL CONDITION MONITORING OF HORIZONTAL BORING MILLS IN THE ENERGY SECTOR BOREHOLE

Abstract

This invention introduces CHOC_MCMote, a cloud-based monitoring system for hydraulic oil condition in Horizontal Boring Mills within the Energy Sector Borehole. Integrated with a Raspberry Pi Processor Board, GSM Modem, NAS Sensor, Temperature Sensor, Pressure Sensor, HMI Display, and Power Supply, the system enables real-time analytics, predictive maintenance, and reduced downtime. By processing data locally and transferring it to a cloud server, operators can remotely access data for proactive management. This system optimizes operational efficiency, ensuring reliable performance through IoT and cloud technology.

Specification

Description:FIELD OF THE INVENTION
This invention relates to Cloud-Based Hydraulic Oil Condition Monitoring of Horizontal Boring Mills in the Energy Sector Borehole.
BACKGROUND OF THE INVENTION
This innovative solution provides an essential foundation for analytics and monitoring to evaluate the Hydraulic Oil Condition of Horizontal Boring Mills Used in the Energy Sector Borehole. Real-time data insights are provided by the system via the smooth integration of temperature, pressure, and oil condition sensors. By utilizing cloud-based and IoT technologies, it facilitates continuous monitoring and analysis, enabling predictive maintenance and early detection of possible problems. In addition to providing operators and authorities with an intuitive interface to monitor equipment health, access analytics, and get timely alarms, the customized online dashboard guarantees remote accessible.
The existing systems do not offer a reliable way to continuously monitor the condition of the hydraulic oil, which is a critical factor influencing the operation of the equipment. Reactive maintenance techniques, which lead to increased downtime and sometimes avoidable repairs, are the product of the lack of a comprehensive framework. Furthermore, the lack of real-time analytics and instant alerts makes it more difficult to proactively address problems, which has an impact on overall operational reliability.
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. A solution integrated with Cloud for Hydraulic Oil Condition Monitoring of 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. A solution integrated with Cloud for Hydraulic Oil Condition Monitoring of 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.
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.
The CHOC_MCMote invention offers a comprehensive solution for monitoring the Hydraulic Oil Condition of Horizontal Boring Mills in the Energy Sector Borehole by seamlessly integrating hardware components, cloud-based technologies, and advanced algorithms. The Raspberry Pi Processor Board serves as the system's central hub for communication and data processing. This board gathers data from a variety of sensors, including the temperature, pressure, and NAS sensors, which are located in strategic locations to gather vital details regarding hydraulic oil and the operating environment. The Raspberry Pi is used to process the gathered data locally, enabling real-time investigation of the hydraulic oil condition. A GSM modem is added to help with communication and data transfer. This enables the system to send processed data to a cloud server that has been specially created for this invention. This cloud server acts as a centralized location for gathering, organizing, and storing data. It also offers a scalable platform for advanced analytics and allows for remote accessing.
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 CHOC_MCMote invention offers a comprehensive solution for monitoring the Hydraulic Oil Condition of Horizontal Boring Mills in the Energy Sector Borehole by seamlessly integrating hardware components, cloud-based technologies, and advanced algorithms. The Raspberry Pi Processor Board serves as the system's central hub for communication and data processing. This board gathers data from a variety of sensors, including the temperature, pressure, and NAS sensors, which are located in strategic locations to gather vital details regarding hydraulic oil and the operating environment. The Raspberry Pi is used to process the gathered data locally, enabling real-time investigation of the hydraulic oil condition. A GSM modem is added to help with communication and data transfer. This enables the system to send processed data to a cloud server that has been specially created for this invention. This cloud server acts as a centralized location for gathering, organizing, and storing data. It also offers a scalable platform for advanced analytics and allows for remote accessing.
For hydraulic oil condition analytics, fast Fourier transform (FFT) analysis, and other pertinent computations, the data is subjected to predetermined algorithms in a cloud environment. Afterwards, the system receives the analysis results and displays them on the Human-Machine Interface (HMI) Display. Based on the analysis results, this local display serves as a real-time monitoring tool as well as a means of sending out notifications. Concurrently, a customized web dashboard delivers an intuitive user interface together with an extensive view of analytics and warnings, enabling remote monitoring of equipment condition. Any irregularity identified by the preset algorithms is quickly brought to light through visual alerts on the web dashboard and the HMI Display. Proactive alerts are also emailed to the designated authorities and operator, guaranteeing prompt resolution of possible problems. The goal of the CHOC_MCMote innovation is to provide maintenance staff and operators with useful information about the hydraulic oil condition of horizontal boring mills.
BEST METHOD OF WORKING
The CHOC_MCMote system equipped with a Raspberry Pi Processor Board, GSM Modem, NAS Sensor, Temperature Sensor, Pressure Sensor, HMI Display, and Power Supply for seamless integration of IoT and cloud-based technology, enabling real-time monitoring and analytics of hydraulic oil condition in Horizontal Boring Mills, facilitating proactive maintenance and reducing downtime.
A system wherein the Raspberry Pi Processor Board serves as the central processing unit, enabling local data analysis, sensor communication, and reliable monitoring of hydraulic oil condition in Horizontal Boring Mills used in the Energy Sector Borehole.
A system with a GSM Modem for cellular communication, ensuring processed data is transmitted from the Raspberry Pi to the cloud server, enhancing remote monitoring capabilities.
A system with a NAS Sensor that monitors and collects vital information on hydraulic oil condition, providing real-time analytics for preventive maintenance of Horizontal Boring Mills.
A system with Temperature and Pressure Sensors providing essential environmental data for real-time analysis, enabling predictive maintenance and optimizing operational efficiency.
A system with an HMI Display providing operators with a local interface for viewing real-time analytics and alerts, enhancing situational awareness and enabling prompt response to oil condition variations.
A system including a Power Supply that ensures consistent operation of system components, supporting reliable monitoring of hydraulic oil condition in the Energy Sector Borehole.
ADVANTAGES OF THE INVENTION
1. The CHOC_MCMote effortlessly integrates cloud-based and Internet of Things technology to bring about a revolutionary change in the Energy Sector Borehole. It enables preventive maintenance and reduces downtime by offering real-time monitoring and analytics of the hydraulic oil condition in horizontal boring mills.
2. The CHOC_MCMote's built-in GSM modem guarantees smooth cellular connectivity, making it easier to transfer processed data from the Raspberry Pi Processor Board to a specially designed cloud server. This improves the Energy Sector Borehole's hydraulic oil condition remote monitoring capabilities in horizontal boring mills.
3. An essential component of CHOC_MCMote for tracking and gathering data on hydraulic oil condition is the NAS Sensor. By enabling preventive maintenance of the Horizontal Boring Mills used in the Energy Sector Borehole, this advances real-time analytics.
4. The CHOC_MCMote's integrated Temperature and Pressure Sensors give vital environmental information. They facilitate predictive maintenance and maximize operational efficiency by enabling real-time monitoring and analysis of the hydraulic oil condition in horizontal boring mills inside the Energy Sector Borehole.
5. Operators can view real-time analytics and alerts via a local interface provided by the HMI Display embedded into CHOC_MCMote. By doing this, one can improve situational awareness and respond quickly to changes in the hydraulic oil condition of horizontal boring mills used in the Energy Sector Borehole.
, Claims:We Claim:
1. A Cloud-Based Hydraulic Oil Condition Monitoring of Horizontal Boring Mills in the Energy Sector Boreholecomprises CHOC_MCMote system equipped with a Raspberry Pi Processor Board, GSM Modem, NAS Sensor, Temperature Sensor, Pressure Sensor, HMI Display, and Power Supply for seamless integration of IoT and cloud-based technology, enabling real-time monitoring and analytics of hydraulic oil condition in Horizontal Boring Mills, facilitating proactive maintenance and reducing downtime.
2. The CHOC_MCMote as claimed in Claim 1, wherein the Raspberry Pi Processor Board serves as the central processing unit, enabling local data analysis, sensor communication, and reliable monitoring of hydraulic oil condition in Horizontal Boring Mills used in the Energy Sector Borehole.
3. The CHOC_MCMote as claimed in Claim 1, further comprising a GSM Modem for cellular communication, ensuring processed data is transmitted from the Raspberry Pi to the cloud server, enhancing remote monitoring capabilities.
4. The CHOC_MCMote as claimed in Claim 1, wherein the NAS Sensor monitors and collects vital information on hydraulic oil condition, providing real-time analytics for preventive maintenance of Horizontal Boring Mills.
5. The CHOC_MCMote as claimed in Claim 1, incorporating a Temperature Sensor and Pressure Sensor that provide essential environmental data for real-time analysis, enabling predictive maintenance and optimizing operational efficiency.
6. The CHOC_MCMote as claimed in Claim 1, including an HMI Display to provide operators with a local interface for viewing real-time analytics and alerts, enhancing situational awareness and enabling prompt response to oil condition variations.
7. The CHOC_MCMote as claimed in Claim 1, with a Power Supply that ensures consistent operation of system components, supporting reliable monitoring of hydraulic oil condition in the Energy Sector Borehole.

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