IOT AND CLOUD-ENABLED CONDITION MONITORING DEVICE FOR HYDRAULIC TOP HAMMER DRILLS IN MINING OPERATIONS

Abstract

Iot and cloud-enabled condition monitoring device for hydraulic top hammer drills in mining operations comprises CECMT_HTHDMote (10) is utilized to enable seamless transmission to a specialized cloud server for advanced analytics, present actionable insights through user-friendly interfaces for both on-site operators and remote users and facilitate real-time monitoring and data acquisition from various sensors on hydraulic top hammer drills, it is equipped with TI MSP430 Board (120), GSM Modem (30), ESP32 Wifi Board (40), Vibration Sensor (110), Temperature Sensor (100), Humidity Sensor (90), Pressure Sensor (80), RTC Module (50), Micro SD Card Module (60), HMI Display (20), and Power Supply (70) this invention uses the TI MSP430 Board, which is a hardware platform that is dependable and effective, it also makes it easier to integrate different sensors and allows for smooth communication between the sensors and the cloud-based system for thorough condition monitoring of hydraulic top hammer drills in mining operations.

Specification

Description:FIELD OF THE INVENTION
This invention relates iot and cloud-enabled condition monitoring device for hydraulic top hammer drills in mining operations.
BACKGROUND OF THE INVENTION
Equipment management is being revolutionized by the IoT and cloud technologies employed in the innovative Condition Monitoring Device for Hydraulic Top Hammer Drills in Mining Operations. Continuous monitoring of hydraulic top hammer drills is made possible by this device's integration of various sensors to record data in real-time on variables like vibration, temperature, humidity, and pressure. To find patterns and abnormalities, the collected data is effectively transferred to a specialized cloud server and processed by sophisticated machine learning algorithms. A full overview of the equipment's status is then provided to both remote users and on-site operators via an intuitive interface that presents the analysis's results.
The mining industry faces significant difficulties in the monitoring and upkeep of hydraulic top hammer drills, which are vital pieces of equipment used in excavation procedures. Many times, the current monitoring systems are deficient in proactive insights and comprehensive real-time data, which leads to inefficient operations, increased downtime, and increased maintenance costs. There is an obvious need for a reliable condition monitoring device, and our innovation fills in the gaps by combining cloud and IoT technology.
DE102009028543A1: A tool holding device for a hammer drill has a basic plug-in system with a first tool holder and an interchangeable chuck with a second tool holder that can be releasably placed on the first tool holder and locked in a rotationally fixed manner. The first tool holder in the basic plug-in system is axially open on both sides for receiving the striking element or a component that interacts with the striking element.
RESEARCH GAP: A IoT and Cloud based innovation for condition tracking of Hydraulic Top Hammer Drills within mining is the novelty of the system.
CN101992307B: The present invention relates to a tool holder device for a hammer drill, having a basic plug-in system with a first tool holder and a changable chuck with a second tool holder, wherein the changable chuck can be detachably attachable to and lockable with the first tool holder in a torque-proof manner. The first tool holder is axially open on both sides in the basic plug-in system, for retaining a striking element or a component working together with the striking element.
RESEARCH GAP: A IoT and Cloud based innovation for condition tracking of Hydraulic Top Hammer Drills within mining 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 invention provides mining operators with a thorough picture of the condition of hydraulic top hammer drills by combining sensor data, cloud computing, and machine learning. The capacity to track, evaluate, and react to data in real-time improves productivity, lowers downtime, and helps to optimize mining operations as a whole. The CECMT_HTHDMote is a complete condition monitoring device that integrates IoT and cloud technologies to monitor hydraulic top hammer drills in mining operations. In order to gather crucial operational data, the gadget is outfitted with a number of sensors, including pressure, temperature, humidity, and vibration sensors that are positioned strategically. These sensors keep a constant eye on the drilling apparatus, spotting changes and irregularities instantly. The gadget is then able to transfer data to a dedicated cloud server created for this innovation by means of a complex arrangement that includes the TI MSP430 Board, GSM Modem, and ESP32 Wifi Board. This ensures reliable connectivity. This cloud server serves as a central location for processing and storing data.
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 invention provides mining operators with a thorough picture of the condition of hydraulic top hammer drills by combining sensor data, cloud computing, and machine learning. The capacity to track, evaluate, and react to data in real-time improves productivity, lowers downtime, and helps to optimize mining operations as a whole. The CECMT_HTHDMote is a complete condition monitoring device that integrates IoT and cloud technologies to monitor hydraulic top hammer drills in mining operations. In order to gather crucial operational data, the gadget is outfitted with a number of sensors, including pressure, temperature, humidity, and vibration sensors that are positioned strategically. These sensors keep a constant eye on the drilling apparatus, spotting changes and irregularities instantly. The gadget is then able to transfer data to a dedicated cloud server created for this innovation by means of a complex arrangement that includes the TI MSP430 Board, GSM Modem, and ESP32 Wifi Board. This ensures reliable connectivity. This cloud server serves as a central location for processing and storing data.

The data is analyzed using pre-programmed machine learning algorithms once it reaches the cloud. In order to perform this analysis, time-based trends in sensor readings must be evaluated in order to spot patterns and possible problems. The machine learning algorithms offer significant insights into the operation of hydraulic top hammer drills, enabling prompt interventions and predictive maintenance. The device's HMI Display receives a refresh of the data analysis results, together with analytical recommendations and crucial alarms. For on-site operators, this Human-Machine Interface acts as a real-time dashboard, giving them instant access to information about the drilling equipment's state. Operators can simultaneously access this data by logging onto their accounts and using a customized online dashboard.
BEST METHOD OF WORKING
The CECMT_HTHDMote is utilized to enable seamless transmission to a specialized cloud server for advanced analytics, present actionable insights through user-friendly interfaces for both on-site operators and remote users, and facilitate real-time monitoring and data acquisition from various sensors on hydraulic top hammer drills. It is equipped with TI MSP430 Board, GSM Modem, ESP32 Wifi Board, Vibration Sensor, Temperature Sensor, Humidity Sensor, Pressure Sensor, RTC Module, Micro SD Card Module, HMI Display, and Power Supply.
This invention uses the TI MSP430 Board, which is a hardware platform that is dependable and effective. It also makes it easier to integrate different sensors and allows for smooth communication between the sensors and the cloud-based system for thorough condition monitoring of hydraulic top hammer drills in mining operations.
The GSM modem built into the CECMT_HTHDMote allows real-time sensor data from hydraulic top hammer drills to be transmitted to a customized cloud server, enabling dependable and extensive communication and guaranteeing prompt and effective monitoring in mining operations.
To ensure effective real-time monitoring and analysis in mining operations, the ESP32 Wifi Board, which is also integrated into CECMT_HTHDMote, is used to provide wireless connectivity and facilitate the smooth transmission of sensor data from hydraulic top hammer drills to the dedicated cloud server.
Through the use of advanced analytics and machine learning algorithms, the vibration, temperature, humidity, and pressure sensors-all of which are connected to the CECMT_HTHDMote-are able to collect a variety of real-time data from hydraulic top hammer drills, facilitating comprehensive condition monitoring and predictive maintenance in mining operations.
Using an intuitive display, the HMI Display interfaced with CECMT_HTHDMote allows operators on the job site to get up-to-date information on the state of hydraulic top hammer drills and make quick decisions based on data analysis.

ADVANTAGES OF THE INVENTION
1. The CECMT_HTHDMote is a key component of this creative solution, allowing data collection and real-time monitoring from several sensors on hydraulic top hammer drills. This makes it possible for data to be transmitted to a dedicated cloud server for advanced analytics in a smooth manner. The user-friendly interfaces provide operators on-site and distant with actionable insights.
2. The GSM Modem, which gives the CECMT_HTHDMote dependable and extensive connectivity, is a crucial part of this innovation. It makes it easier to transfer real-time sensor data from hydraulic top hammer drills to a customized cloud server, which guarantees prompt and effective mining operation monitoring.
3. The ESP32 Wifi Board, which provides wireless communication for the CECMT_HTHDMote, is an essential component of this invention. It enables smooth sensor data transfer from hydraulic top hammer drills to a specialized cloud server, guaranteeing effective real-time mining operations monitoring and analysis.
4. This innovation improves the CECMT_HTHDMote's ability to measure a variety of real-time data from hydraulic top hammer drills by integrating vibration, temperature, humidity, and pressure sensors. With the use of sophisticated analytics and machine learning algorithms, this permits thorough condition monitoring and predictive maintenance in mining operations.
5. The HMI Display is a key component of this innovation, acting as a user-friendly interface that gives on-site operators real-time information about the state of hydraulic top hammer drills. This makes it easier to make decisions right away based on data analysis.
, Claims:1. An IoT and cloud-enabled condition monitoring device for hydraulic top hammer drills in mining operations comprises CECMT_HTHDMote (10) is utilized to enable seamless transmission to a specialized cloud server for advanced analytics, present actionable insights through user-friendly interfaces for both on-site operators and remote users and facilitate real-time monitoring and data acquisition from various sensors on hydraulic top hammer drills, it is equipped with TI MSP430 Board (120), GSM Modem (30), ESP32 Wifi Board (40), Vibration Sensor (110), Temperature Sensor (100), Humidity Sensor (90), Pressure Sensor (80), RTC Module (50), Micro SD Card Module (60), HMI Display (20), and Power Supply (70).
2. The device as claimed in claim 1, wherein this invention uses the TI MSP430 Board, which is a hardware platform that is dependable and effective, it also makes it easier to integrate different sensors and allows for smooth communication between the sensors and the cloud-based system for thorough condition monitoring of hydraulic top hammer drills in mining operations.
3. The device as claimed in claim 1, wherein the GSM modem built into the CECMT_HTHDMote allows real-time sensor data from hydraulic top hammer drills to be transmitted to a customized cloud server, enabling dependable and extensive communication and guaranteeing prompt and effective monitoring in mining operations.
4. The device as claimed in claim 1, wherein to ensure effective real-time monitoring and analysis in mining operations, the ESP32 Wifi Board, which is also integrated into CECMT_HTHDMote, is used to provide wireless connectivity and facilitate the smooth transmission of sensor data from hydraulic top hammer drills to the dedicated cloud server.
5. The device as claimed in claim 1, wherein through the use of advanced analytics and machine learning algorithms, the vibration, temperature, humidity, and pressure sensors all of which are connected to the CECMT_HTHDMote are able to collect a variety of real-time data from hydraulic top hammer drills, facilitating comprehensive condition monitoring and predictive maintenance in mining operations.
6. The device as claimed in claim 1, wherein using an intuitive display, the HMI Display interfaced with CECMT_HTHDMote allows operators on the job site to get up-to-date information on the state of hydraulic top hammer drills and make quick decisions based on data analysis.

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