DFT ANALYZING ADDON DEVICE FOR MONITORING OF VIBRATION PATTERN OF HORIZONTAL SONIC DRILL MACHINE WITH IN MINING

Abstract

A dft analyzing addon device for monitoring of vibration pattern of horizontal sonic drill machine with in mining comprises DAA_HSDMTMote (1a) is used to collect real-time vibration data from Horizontal Sonic Drill Machines within mining operations, facilitating proactive maintenance and equipment performance optimization, it is outfitted with an STM32 Board (3c), a CC3000 RF Module (2b), a 3 axis vibration sensor (5e), and a power supply (4d) the STM32 Board, CC3000 RF Module, ESP01 Wifi Module, HMI Display, and Power Supply equipped DAA_HSDMRMote allows for local vibration data visualization as well as remote monitoring via a customized web dashboard, improving operational oversight and speeding up decision-making in mining environments.

Specification

Description:FIELD OF THE INVENTION
This invention relates to dft analyzing addon device for monitoring of vibration pattern of horizontal sonic drill machine with in mining.
BACKGROUND OF THE INVENTION
This state-of-the-art technology offers a comprehensive method for tracking and examining vibration patterns in horizontal sonic drill machines used in mining operations. By continuously recording vibration data in real time while drilling, the technology gives operators critical information about the health and performance of the drill machines. Proactive maintenance techniques are made possible by this data, which helps identify any equipment problems or performance inefficiencies early on. This minimizes downtime and maximizes operational productivity. With its ability to monitor vibration patterns locally using an easy-to-use display and remotely using a personalized online dashboard, this system guarantees smooth operation.
This innovation aims to solve the problem of how to effectively monitor and analyze vibration patterns that Horizontal Sonic Drill Machines (HSDMs) in mining environments display. Traditional methods of equipment health monitoring often fail to deliver comprehensive insights and real-time data, which leads to unexpected downtime, increased maintenance costs, and inefficiencies in operations.
CN106223996B: The present invention relates to a kind of super-large diameter coal bed drillings to be intubated extraction goaf gas technique; feature is: a measure lane of 1. constructing after return aircourse side is there are protection coal pillar; in measure lane, drag conveyor is set; from measure lane with major diameter Auger drilling machine in coal seam there are protection coal pillar on beat several large diameter boreholes to return aircourse upper corner after; borehole casing is inserted into large diameter borehole; borehole casing connects extraction pipeline, carries out gas drainage to goaf gas.Measure lane is set as next stope intake after use; one lane is dual-purpose; protection coal pillar roadway construction amount has been cut, tunnel river and connection roadway have been cut, borehole casing use is not in collapse hole; and it partially recycled can recycle; ensure that gas is not revealed, while investment reduction, is easily managed; extracting result is improved, entire coal mining engineering process and ancillary works process is made to realize complete mechanical.
RESEARCH GAP: DFT Analyzing Addon Device for monitoring of Vibration pattern of Horizontal Sonic Drill Machine is the novelty of the system.
CN2771479Y: A coal-mining drilling machine is used for a mining thin coal seam and an ultra thin coal seam in a mine and composed a machine frame a transmission device a drill assembly a ventilating device an electric control device a hydraulic control device etc. The machine frame is arranged in a tunnel by a left-right moving device of a bottom support thereof. The transmission device is arranged on the bottom support by a front-back moving device on the bottom support and the transmission support thereof. The drill assembly is connected with a gearbox of a transmission device by a drill rod thereof. The utility model can be manufactured into a double-dill type and a triple-dill type. Thus, the utility model has the characteristics that the structure is simple, the operation is convenient, unmanned working face mining can be realized, operators are fewer; the utility model is safe and improves the labor intensity and the working environment, the requirements of the mechanized mining of the thin coal seam can be satisfied, the utilization rate of coal mine resources can be increased, the cost per ton of the coal can be lowered, etc.
RESEARCH GAP: DFT Analyzing Addon Device for monitoring of Vibration pattern of Horizontal Sonic Drill 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.
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 system, which consists of the DAA_HSDMTMote and DAA_HSDMRMote devices, monitors vibration patterns in Horizontal Sonic Drill Machines in mining situations by combining a variety of hardware components and connection methods. With an STM32 board, CC3000 RF Module, high-precision 3-axis vibration sensor, and a stable power supply, the DAA_HSDMTMote serves as the main sensor unit. It is placed strategically atop the drill machine to continuously record vibration data produced during drilling operations. This data is essential for understanding the health and functionality of the equipment. After gathering data, the DAA_HSDMTMote uses the CC3000 RF Module to wirelessly send the data to a central monitoring system so that it may be analyzed. Mining operators can now proactively manage maintenance and repair issues to avoid equipment failures and downtime thanks to this real-time monitoring capability.
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 system, which consists of the DAA_HSDMTMote and DAA_HSDMRMote devices, monitors vibration patterns in Horizontal Sonic Drill Machines in mining situations by combining a variety of hardware components and connection methods. With an STM32 board, CC3000 RF Module, high-precision 3-axis vibration sensor, and a stable power supply, the DAA_HSDMTMote serves as the main sensor unit. It is placed strategically atop the drill machine to continuously record vibration data produced during drilling operations. This data is essential for understanding the health and functionality of the equipment. After gathering data, the DAA_HSDMTMote uses the CC3000 RF Module to wirelessly send the data to a central monitoring system so that it may be analyzed. Mining operators can now proactively manage maintenance and repair issues to avoid equipment failures and downtime thanks to this real-time monitoring capability.
To improve local and remote monitoring capabilities, the DAA_HSDMRMote serves as an additional monitoring device. It provides on-site operators with an easy-to-use interface to display vibration data immediately, thanks to its STM32 board, CC3000 RF Module, ESP01 WiFi Module, clear HMI Display, and dependable power supply. Additionally, the internet connectivity provided by the ESP01 Wifi Module allows the DAA_HSDMRMote to post data collected to a customized online dashboard that mining staff can access remotely. By combining wireless connectivity and Internet of Things technologies, this creative solution gives mining operators a thorough understanding of how Horizontal Sonic Drill Machine vibration behaves.
BEST METHOD OF WORKING
The DAA_HSDMTMote is used to collect real-time vibration data from Horizontal Sonic Drill Machines within mining operations, facilitating proactive maintenance and equipment performance optimization. It is outfitted with an STM32 Board, a CC3000 RF Module, a 3 axis vibration sensor, and a power supply.
The STM32 Board, CC3000 RF Module, ESP01 Wifi Module, HMI Display, and Power Supply equipped DAA_HSDMRMote allows for local vibration data visualization as well as remote monitoring via a customized web dashboard, improving operational oversight and speeding up decision-making in mining environments.
The central processing unit of the DAA_HSDMTMote and DAA_HSDMRMote devices is the integrated STM32 Board, which makes data collection, analysis, and communication easier. This is crucial for tracking vibration patterns in horizontal sonic drill machines used in mining operations.
The DAA_HSDMTMote and DAA_HSDMRMote devices are integrated with the CC3000 RF Module to enable wireless transmission of vibration data acquired by the devices. This allows for the monitoring and analysis of Horizontal Sonic Drill Machines in real-time inside mining operations.
The 3-axis Vibration Sensor precisely records and quantifies the vibration patterns produced by Horizontal Sonic Drill Machines, giving vital information for keeping an eye on the functionality and health of mining equipment.
The DAA_HSDMRMote device can upload vibration data it has collected to a customized web dashboard thanks to the integration of the ESP01 WiFi Module with the device. This makes it easier to monitor and analyze Horizontal Sonic Drill Machines remotely from mining operations.
The HMI Display is connected with the DAA_HSDMRMote device, offering onsite operators an easy-to-use interface to view real-time vibration data straight from the device. This allows for a prompt evaluation of the performance of the Horizontal Sonic Drill Machine in mining operations.
To enable continuous monitoring and analysis of vibration patterns in Horizontal Sonic Drill Machines within mining operations, the Power Supply plugs into both the DAA_HSDMTMote and DAA_HSDMRMote devices.
ADVANTAGES OF THE INVENTION
1. In mining operations, the DAA_HSDMTMote is essential for gathering real-time vibration data from Horizontal Sonic Drill Machines, which helps with preventative maintenance and equipment performance improvement.
2. The DAA_HSDMRMote's capability allows for remote monitoring through a customized online dashboard as well as on-site visualization of vibration data, which enhances operational supervision and speeds up decision-making in mining environments.
3. Serving as the DAA_HSDMTMote and DAA_HSDMRMote devices' central processing unit, the STM32 Board is critical for data gathering, analysis, and communication. It also plays a critical role in tracking vibration patterns in horizontal sonic drill machines used in mining operations.
4. By enabling wireless transmission of vibration data gathered by the DAA_HSDMTMote and DAA_HSDMRMote devices, the CC3000 RF Module makes it easier to monitor and analyze Horizontal Sonic Drill Machines in real-time during mining operations.
5. The 3-axis Vibration Sensor provides crucial information for tracking the condition and performance of mining equipment by precisely capturing and measuring the vibration patterns generated by horizontal sonic drill machines.
6. The DAA_HSDMRMote device can effortlessly transfer vibration data recorded to a customized online dashboard with the help of the ESP01 Wifi Module, which facilitates internet access. This allows for remote monitoring and analysis of Horizontal Sonic Drill Machines in mining operations.
7. The HMI Display's user-friendly interface enables on-site operators to view real-time vibration data straight from the DAA_HSDMRMote device, allowing for a prompt assessment of the performance of Horizontal Sonic Drill Machines in mining operations.
, Claims:1. A dft analyzing addon device for monitoring of vibration pattern of horizontal sonic drill machine with in mining comprises DAA_HSDMTMote (1a) is used to collect real-time vibration data from Horizontal Sonic Drill Machines within mining operations, facilitating proactive maintenance and equipment performance optimization, it is outfitted with an STM32 Board (3c), a CC3000 RF Module (2b), a 3 axis vibration sensor (5e), and a power supply (4d).
2. The device as claimed in claim 1, wherein the STM32 Board, CC3000 RF Module, ESP01 Wifi Module, HMI Display, and Power Supply equipped DAA_HSDMRMote allows for local vibration data visualization as well as remote monitoring via a customized web dashboard, improving operational oversight and speeding up decision-making in mining environments.
3. The device as claimed in claim 1, wherein the central processing unit of the DAA_HSDMTMote and DAA_HSDMRMote devices is the integrated STM32 Board, which makes data collection, analysis, and communication easier, this is crucial for tracking vibration patterns in horizontal sonic drill machines used in mining operations.
4. The device as claimed in claim 1, wherein the DAA_HSDMTMote and DAA_HSDMRMote devices are integrated with the CC3000 RF Module to enable wireless transmission of vibration data acquired by the devices, this allows for the monitoring and analysis of Horizontal Sonic Drill Machines in real-time inside mining operations.
5. The device as claimed in claim 1, wherein the 3-axis Vibration Sensor precisely records and quantifies the vibration patterns produced by Horizontal Sonic Drill Machines, giving vital information for keeping an eye on the functionality and health of mining equipment.
6. The device as claimed in claim 1, wherein the DAA_HSDMRMote device can upload vibration data it has collected to a customized web dashboard thanks to the integration of the ESP01 WiFi Module with the device, this makes it easier to monitor and analyze Horizontal Sonic Drill Machines remotely from mining operations.
7. The device as claimed in claim 1, wherein the HMI Display is connected with the DAA_HSDMRMote device, offering onsite operators an easy-to-use interface to view real-time vibration data straight from the device, this allows for a prompt evaluation of the performance of the Horizontal Sonic Drill Machine in mining operations.
8. The device as claimed in claim 1, wherein to enable continuous monitoring and analysis of vibration patterns in Horizontal Sonic Drill Machines within mining operations, the Power Supply plugs into both the DAA_HSDMTMote and DAA_HSDMRMote devices.

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