A SYSTEM FOR REAL-TIME HEALTH AND PERFORMANCE MONITORING OF A FOREST CLEANING TRACK STUMP GRINDER MACHINE

Abstract

The present invention provides a system for real-time health and performance monitoring of forest cleaning track stump grinder machines, named 'OHTFCSGMote’. The present system integrates an STM32 board as the central processing unit, a GSM modem for wireless communication, and a plurality of sensors, including vibration, accelerometer, temperature, and humidity sensors. Real-time data captured by the sensors is transmitted to a cloud server for FFT analysis and machine learning-based evaluation to identify trends, anomalies, and potential issues. The system provides feedback to end-users through an HMI display for on-site operators and a personalized web dashboard for remote monitoring, enabling proactive maintenance and optimizing machine performance in the forestry industry.

Specification

Description:FIELD OF THE INVENTION
The present invention relates to a system for real-time monitoring of the health and performance of forest cleaning track stump grinder machines.
BACKGROUND OF THE INVENTION
Maintaining and monitoring the health and performance of track stump grinder machines used in forest cleaning operations is crucial for efficient and productive forestry operations. However, current monitoring systems often lack real-time functionality and comprehensive data analysis capabilities, leading to undetected issues and extended downtime. The absence of a centralized platform for data processing and analysis further exacerbates this problem, hindering proactive maintenance and optimization efforts.
Followings are some prior arts to the present invention:
AU2005213187B2 The said prior art provides a grinding unit for use with a grinding machine. The grinding unit comprises a rotor which has a rim around which a plurality of slots are provided. Each of the slots in the rotor engages in use with one of a plurality of teeth. The teeth are retained in the rotor by a fixing means.
US7418986B2 A tooth for use in a grinding wheel is provided. The tooth comprises a main body including a slot comprising two substantially planar surfaces for, in use, engaging with a slot in the rotor, and at least one cutting face connected to and extending away from the main body. In use, the force in the plane of the rotor is transferred from the tooth onto the rotor via one of the planar surfaces provided on the slot.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed.
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 present invention, referred to as the 'OHTFCSGMote' (Online Health Tracking of Forest Cleaning Stump Grinder Machine over the Internet of Things), addresses these challenges by providing a comprehensive real-time health and performance monitoring solution for track stump grinder machines. The system integrates various sensors, including vibration, accelerometer, temperature, and humidity sensors, to capture dynamic data on the machine's operation and surrounding environmental conditions. This data is transmitted wirelessly via a GSM modem to a customized cloud server, where it undergoes Fast Fourier Transform (FFT) analysis and machine learning-based evaluation to identify trends and anomalies.
The OHTFCSGMote system provides real-time feedback to on-site operators through an HMI display, showcasing critical alerts and relevant statistics. Additionally, a personalized web dashboard allows authorized personnel, including regulatory bodies and decision-makers, to access historical data, monitor machine status, and receive timely email notifications regarding potential issues. This comprehensive approach enables proactive maintenance, reduces downtime, and optimizes the overall performance and longevity of track stump grinder machines in the forestry industry.
To further clarify advantages and features of the present invention, a more particular description of the invention is rendering by reference to specific embodiments thereof, which is illustrated in the appended drawing.
It is appreciated that the drawing depicts only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention is being described and explained with additional specificity and detail with the accompanying drawing.
BRIEF DESCRIPTION OF DRAWINGS
The foregoing detailed description of embodiments is better understood when read in conjunction with the attached drawing. For better understanding, each component is represented by a specific number which is further illustrated as a reference number for the components used with the figures.
Figure 1 represents block diagram of present system
Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the system, one or more components of the system may have been represented in the drawing by conventional symbols, and the drawing may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawing with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
DETAILED DESCRIPTION OF THE INVENTION
For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawing and specific language will be used to describe the same.
It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skilled in the art to which this invention belongs.
Embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
The present invention, referred to as the 'OHTFCSGMote' (Online Health Tracking of Forest Cleaning Stump Grinder Machine over the Internet of Things), addresses these challenges by providing a comprehensive real-time health and performance monitoring solution for track stump grinder machines. The system integrates various sensors, including vibration, accelerometer, temperature, and humidity sensors, to capture dynamic data on the machine's operation and surrounding environmental conditions. This data is transmitted wirelessly via a GSM modem to a customized cloud server, where it undergoes Fast Fourier Transform (FFT) analysis and machine learning-based evaluation to identify trends and anomalies.
The OHTFCSGMote system provides real-time feedback to on-site operators through an HMI display, showcasing critical alerts and relevant statistics. Additionally, a personalized web dashboard allows authorized personnel, including regulatory bodies and decision-makers, to access historical data, monitor machine status, and receive timely email notifications regarding potential issues. This comprehensive approach enables proactive maintenance, reduces downtime, and optimizes the overall performance and longevity of track stump grinder machines in the forestry industry.
The OHTFCSGMote system comprises several key components:
1. STM32 Board: This serves as the central processing unit, responsible for collecting, processing, and transmitting data from various sensors.
2. GSM Modem: Enables wireless communication and real-time data transmission to the cloud server.
3. Vibration Sensor and Accelerometer: These sensors capture dynamic data on the machine's movements and vibrations during operation.
4. Temperature Sensor and DHT Sensor: These sensors monitor the surrounding environmental conditions, including temperature and humidity, which can impact machine performance.
5. HMI Display: Provides on-site operators with real-time visual feedback on machine status, including critical alerts and relevant statistics.
6. Buzzer: Alerts operators to critical conditions or anomalies detected by the system.
7. Power Supply: Ensures continuous and reliable power for the system's operation.
The data collected by the sensors is transmitted to a customized cloud server, where it undergoes FFT analysis and machine learning-based evaluation. This analysis helps identify trends, anomalies, and potential issues with the stump grinder machine. The results are then relayed to end-users through the HMI display and a personalized web dashboard, enabling both on-site and remote monitoring of the machine's health and performance.
While specific language has been used to describe the present invention, any limitations arising on account thereto, are not intended. As would be apparent to a person in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment.
ADVANTAGES OF THE INVENTION: The present invention is having following advantages over the prior arts:
1. This creative solution relies heavily on the OHTFCSGMote gadget, which integrates many sensors and IoT technologies in a seamless manner. Its main purpose is to facilitate real-time tracking, carry out thorough data analysis, and provide prompt notifications for the best possible performance and health management of forest cleaning track stump grinder machines in the forestry sector.
2. This cutting-edge system's STM32 Board central processing unit handles vital functions like data gathering, processing, and transmission. Its crucial function is to integrate sensors and IoT technology, which helps forest cleaning track stump grinder machines' real-time health tracking and analytics.
3. Through the establishment of a dependable and secure connection between the OHTFCSGMote device and the customized cloud server, the GSM modem plays a critical role in guaranteeing real-time communication. This feature increases the efficacy of monitoring forest cleaning track stump grinder machines in this creative solution by ensuring flawless data transmission and prompt alarms.
4. The Temperature Sensor and DHT Sensor keep an eye on the surrounding conditions, while the Accelerometer and Vibration Sensor are crucial in gathering data on dynamic movement. When taken as a whole, they offer thorough insights into the condition and effectiveness of forest cleaning track stump grinder machines in real time, enabling proactive maintenance and innovation.
5. The HMI Display serves as a user interface, giving operators on the job site instant access to numerous analytics, critical alarms, and real-time data regarding the condition of the forest cleaning track stump grinder equipment. This feature improves operational effectiveness and decision-making within the context of this creative approach.

, C , Claims:1. A system for real-time health and performance monitoring of a forest cleaning track stump grinder machine, comprising:
an STM32 board as a central processing unit configured to receive and process data from a plurality of sensors;
a plurality of sensors configured to capture dynamic data during the operation of the machine, the plurality of sensors including at least a vibration sensor, an accelerometer, a temperature sensor, and a DHT sensor;
a GSM modem configured to transmit real-time data from the sensors to a cloud server;
an HMI display configured to provide visual feedback on machine status, including critical alerts and relevant statistics; and
a power supply configured to provide continuous power for the operation of the system.
2. The system as claimed in claim 1, wherein the cloud server is further configured to:
perform Fast Fourier Transform (FFT) analysis on the real-time data to identify trends and anomalies; and
evaluate the real-time data using a machine learning algorithm to assess machine health and performance.
3. The system as claimed in claim 1, further comprising a web dashboard configured to provide remote access to historical data, machine status, and analytics.
4. The system as claimed in claim 3, wherein the web dashboard is further configured to provide email notifications to authorized personnel regarding potential issues or anomalies detected by the system.
5. The system as claimed in claim 1, wherein the HMI display is configured to provide on-site operators with real-time visual insights into the machine's health and performance, enabling proactive maintenance and facilitating prompt responses to critical alerts.

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