CLOUD-BASED CONDITION MONITORING SOLUTION FOR SWING ARM TOW-BEHIND STUMP GRINDER MACHINE WITHIN FOREST DEVELOPMENT

Abstract

A cloud-based condition monitoring system for swing arm tow-behind stump grinder machine within forest development comprises CBTCS_SATMote (10), equipped with an ESP32 Wifi Processor Board (100), GSM Modem (90), Vibration Sensor (80), Temperature Sensor (70), Pressure Sensor (60), HMI Display (30), Indicator (40), and Power Supply (50), is used, it seamlessly integrates multiple sensors, uses machine learning algorithms, and provides an intuitive interface for real-time and remote monitoring, ultimately optimizing operational efficiency and minimizing downtime this innovation's ESP32 Wifi Processor Board is used to enable wireless data processing and communication, to seamlessly connect to a customized cloud server, and to ensure real-time transmission of vital data for the thorough condition monitoring of Swing Arm Tow-Behind Stump Grinder Machines in forestry restoration.

Specification

Description:FIELD OF THE INVENTION
This invention relates to cloud-based condition monitoring solution for swing arm tow-behind stump grinder machine within forest development.
BACKGROUND OF THE INVENTION
The goal of this ground-breaking Condition Monitoring Solution for Swing Arm Tow-Behind Stump Grinder Machines is to drastically change the methods used in forestry renovation. It makes use of a wide range of sensors to monitor temperature, pressure, and vibration, providing instantaneous information about the equipment's state of operation. The collected data is easily transferred to a dedicated cloud server, where advanced machine learning algorithms instantly analyze and understand the data.
During forestry renovation, the forestry industry faces a significant challenge in effectively managing and maintaining the operational health of Swing Arm Tow-Behind Stump Grinder Machines. The lack of integrated, comprehensive real-time data collecting and analysis in current monitoring systems causes unexpected equipment failures, increased downtime, and inefficient maintenance practices.
US7743803B2: A stump grinding wheel includes a wheel disc, which includes multiple recesses formed about its periphery. A peripheral cutter assembly is disposed in each one of the recesses and is mounted on the wheel disc. Multiple side cutter assemblies are mounted on the wheel disc, and each one includes a first pocket and a second pocket. The first pocket is disposed on one side of the wheel disc and the second pocket is disposed on the other side of the wheel disc, and a wear pad is formed adjacent a selected end of each pocket. A cutting tooth is received in aligned openings formed in the first pocket, the wheel disc, and the second pocket. A nut threadably engages the cutting tooth of the side cutter assembly to secure the tooth to the first and second pockets, and to secure the pockets to the wheel disc.
RESEARCH GAP: A Wireless Monitoring of Condition of the Swing Arm Tow-Behind Stump Grinder Machine used in forest development is the novelty of the system.
US7694704B2: Tree stump grinding teeth for use in tree stump grinding wheel assemblies and tree stump grinding wheel assemblies that include one or more such grinding teeth. In the preferred embodiment of the invention, the grinding tooth includes a mounting base having a substantially flat surface from which a plurality of cleats project. The cleats are adapted to be received in corresponding bores formed in the wheel. A resilient impact pad is positioned between the mounting base of the grinding tooth and the wheel. The resilient impact pad protects the surface of the wheel from impact forces applied to the grinding tooth.
RESEARCH GAP: A Wireless Monitoring of Condition of the Swing Arm Tow-Behind Stump Grinder Machine used in forest development 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 creative solution takes care of all the requirements for forestry renovation by leveraging cloud technologies based on the Internet of Things. It enables remote access to critical machine data, real-time monitoring, and predictive maintenance using machine learning analysis. With an ESP32 Wifi Processor Board, GSM Modem, and many sensors (Vibration, Temperature, and Pressure), the invention, CBTCS_SATMote, integrates cutting-edge hardware and cloud-based technologies to continually monitor Stump Grinder machine characteristics. These sensors act as the main sources of data collection, gathering data in real time on the state of the machine and its surroundings.
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 creative solution takes care of all the requirements for forestry renovation by leveraging cloud technologies based on the Internet of Things. It enables remote access to critical machine data, real-time monitoring, and predictive maintenance using machine learning analysis. With an ESP32 Wifi Processor Board, GSM Modem, and many sensors (Vibration, Temperature, and Pressure), the invention, CBTCS_SATMote, integrates cutting-edge hardware and cloud-based technologies to continually monitor Stump Grinder machine characteristics. These sensors act as the main sources of data collection, gathering data in real time on the state of the machine and its surroundings.
The ESP32 Wifi Processor Board connects wirelessly to a dedicated Tailored Cloud server after gathering data. The GSM modem facilitates the smooth transfer of gathered data to the cloud infrastructure by guaranteeing connectivity in remote places. Predefined machine learning algorithms process the data in the cloud, examining sensor data to find trends, patterns, and anomalies that could point to problems or maintenance needs. Following processing, the data is shown using an intuitive user interface. This includes an on-site HMI display and a customized web dashboard that are both available within the industry premises.
Operators may see critical parameters instantly and locally on the HMI Display, which gives them a quick understanding of the Stump Grinder's state. At the same time, operators can remotely monitor the machine by logging in to the web dashboard and accessing comprehensive performance data. Operators may make prompt and well-informed decisions with the help of the user interface, which shows trending data charts for condition monitoring, live updates, and comparisons with crucial alarms. Operators may, for example, spot trends that point to possible problems or evaluate how the machine is affected by its surroundings.
BEST METHOD OF WORKING
For comprehensive and advanced cloud-based condition monitoring for Swing Arm Tow-Behind Stump Grinder Machines in forestry renovation, the CBTCS_SATMote, equipped with an ESP32 Wifi Processor Board, GSM Modem, Vibration Sensor, Temperature Sensor, Pressure Sensor, HMI Display, Indicator, and Power Supply, is used. It seamlessly integrates multiple sensors, uses machine learning algorithms, and provides an intuitive interface for real-time and remote monitoring, ultimately optimizing operational efficiency and minimizing downtime.
This innovation's ESP32 Wifi Processor Board is used to enable wireless data processing and communication, to seamlessly connect to a customized cloud server, and to ensure real-time transmission of vital data for the thorough condition monitoring of Swing Arm Tow-Behind Stump Grinder Machines in forestry restoration.
Another feature of CBTCS_SATMote is the GSM modem, which is utilized to supply dependable mobile network connectivity. This allows data to be transferred continuously from Swing Arm Tow-Behind Stump Grinder Machines to a customized cloud server, guaranteeing continuous and distant monitoring in forestry restoration.
The on-site interface of CBTCS_SATMote is made possible by the integrated HMI Display, which gives operators instant visual access to trending and real-time data from Swing Arm Tow-Behind Stump Grinder Machines. This improves situational awareness and facilitates prompt decision-making in forestry renovation operations.
By detecting and transmitting real-time data on machine vibrations, temperature variations, and pressure levels, the temperature, pressure, and vibration sensors all of which are connected in the CBTCS_SATMote combine to contribute to comprehensive condition monitoring of Swing Arm Tow-Behind Stump Grinder Machines. This allows for the early identification of potential issues and facilitates predictive maintenance in forestry renovation.
ADVANTAGES OF THE INVENTION
1. In the context of forestry renovation, the CBTCS_SATMote invention serves as an enhanced cloud-based condition monitoring system for Swing Arm Tow-Behind Stump Grinder Machines. It uses machine learning algorithms, smoothly combines several sensors, and offers an intuitive interface for remote and real-time monitoring. In the end, this integration maximizes operational effectiveness and decreases downtime in the forestry sector.
2. A key component in guaranteeing dependable mobile network connectivity is the GSM modem. It makes it possible for Swing Arm Tow-Behind Stump Grinder Machines to transmit data continuously to a specially designed cloud server, allowing for remote and continuous monitoring during forestry restoration.
3. An essential on-site interface, the HMI Display gives operators instant visual access to trends and real-time data from Swing Arm Tow-Behind Stump Grinder Machines. This improves situational awareness and facilitates prompt decision-making in operations related to forestry renovation.
4. Together, the Temperature, Pressure, and Vibration sensors help to provide a thorough state of condition monitoring for Swing Arm Tow-Behind Stump Grinder Machines. They enable the early diagnosis of possible problems and facilitate predictive maintenance in forestry rehabilitation by detecting and transmitting real-time data on machine vibrations, temperature fluctuations, and pressure levels.
, Claims:1. A cloud-based condition monitoring system for swing arm tow-behind stump grinder machine within forest development comprises CBTCS_SATMote (10), equipped with an ESP32 Wifi Processor Board (100), GSM Modem (90), Vibration Sensor (80), Temperature Sensor (70), Pressure Sensor (60), HMI Display (30), Indicator (40), and Power Supply (50), is used, it seamlessly integrates multiple sensors, uses machine learning algorithms, and provides an intuitive interface for real-time and remote monitoring, ultimately optimizing operational efficiency and minimizing downtime.
2. The system as claimed in claim 1, wherein this innovation's ESP32 Wifi Processor Board is used to enable wireless data processing and communication, to seamlessly connect to a customized cloud server, and to ensure real-time transmission of vital data for the thorough condition monitoring of Swing Arm Tow-Behind Stump Grinder Machines in forestry restoration.
3. The system as claimed in claim 1, wherein another feature of CBTCS_SATMote is the GSM modem, which is utilized to supply dependable mobile network connectivity, this allows data to be transferred continuously from Swing Arm Tow-Behind Stump Grinder Machines to a customized cloud server, guaranteeing continuous and distant monitoring in forestry restoration.
4. The system as claimed in claim 1, wherein the on-site interface of CBTCS_SATMote is made possible by the integrated HMI Display, which gives operators instant visual access to trending and real-time data from Swing Arm Tow-Behind Stump Grinder Machines, this improves situational awareness and facilitates prompt decision-making in forestry renovation operations.
5. The system as claimed in claim 1, wherein by detecting and transmitting real-time data on machine vibrations, temperature variations, and pressure levels, the temperature, pressure, and vibration sensors all of which are connected in the CBTCS_SATMote combine to contribute to comprehensive condition monitoring of Swing Arm Tow-Behind Stump Grinder Machines, this allows for the early identification of potential issues and facilitates predictive maintenance in forestry renovation.

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