IOT TECHNOLOGY BASED HEALTH MONITORING DEVICE FOR SELF-FEEDING HEAVY-DUTY ELECTRIC CHIPPERS USED IN WOODS INDUSTRIES

Abstract

An iot technology based health monitoring device for self-feeding heavy-duty electric chippers used in woods industries comprises ITBH_ECWITMote (11aa), which is outfitted with an STM32 processor, a CC2500 RF module (15ee), a temperature sensor (14dd), a 3 axis vibration sensor (13cc), a current sensor (16ff), and a power supply (12bb), it gathers data in real-time from these sensors including temperature, vibration, and current to keep an eye on the functionality and health of self-feeding heavy-duty electric chippers in the wood industries by sending the data gathered from the ITBH_ECWITMote to a customized web dashboard and local display, the STM32 processor, CC2500 RF module, ESP32 wifi module, display, and power supply equipped on the ITBH_ECWIRMote enable remote monitoring and communication, this allows operators to monitor the condition and efficiency of self-feeding heavy-duty electric chippers in the wood industries in real-time.

Specification

Description:FIELD OF THE INVENTION
This invention relates to iot technology based health monitoring device for self-feeding heavy-duty electric chippers used in woods industries.
BACKGROUND OF THE INVENTION
This innovative IoT-enabled health monitoring system improves safety standards and operational efficiency for heavy-duty, self-feeding electric chippers used in the wood industry. A customized online dashboard allows operators to remotely monitor the state and operation of the chipper in real-time through the system's constant monitoring of critical metrics including temperature, vibration, and power consumption. This feature allows for proactive maintenance, which minimizes downtime and maximizes productivity by allowing operators to identify and address possible problems before they become more complicated. This invention, which may provide immediate feedback and complete insights, is a major step forward in the monitoring and maintenance protocols used in the wood industries. As a result, there will be significant cost savings and increased operational reliability.
This invention addresses the problem of locating effective health monitoring systems for heavy-duty electric chippers that are self-feeding and used in the wood industry. In the past, it has been challenging to monitor the state of operation and spot potential issues with these devices, which has increased downtime, maintenance costs, and safety risks.
US20230311132A1: A wood chipper comprising a chamber in which wood is chipped, at least one roller for feeding of the wood into the chamber, and an hydraulic motor. Hydraulic lines flow connect a hydrostatic pump to the hydraulic motor for effecting rotation of the at least one roller for driving the at least one roller. A member on the wood chipper has splined projections for engaging splined projections on a member on the tractor to effect rotation by the member on the tractor of the member on the wood chipper in order for the wood chipper to receive mechanical power from a power take-off of the tractor for operation of the hydrostatic pump.
RESEARCH GAP: IoT Technology based Health Monitoring Device for Self-Feeding Heavy-Duty Electric Chippers is the novelty of the system.
US10507469B2: A wood chipper comprising a chamber in which wood is chipped, a discharge of chipped wood from the chamber, and a pair of rollers at least one of which is driven. The rollers are positioned for feeding of wood between the rollers and into the chamber. One of the rollers is a smooth roller, and an other of the rollers is driven and has cutting elements thereon. The at least one roller is driven by a hydrostatic pump. A plurality of legs are height adjustable for supporting the wood chipper and for positioning a power receiving means at different heights for aligning with connection to a tractor power take-off.
RESEARCH GAP: IoT Technology based Health Monitoring Device for Self-Feeding Heavy-Duty Electric Chippers 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.
Through its STM32 CPU, the ITBH_ECWITMote serves as the main data acquisition unit for temperature, vibration, and current sensors, among other sensors. This device offers up-to-date information on the electric chipper's functioning state. It is possible to identify any anomalies or possible problems during operation in a timely manner by continuously monitoring important factors including power usage, vibration patterns, and temperature levels. The CC2500 RF module wirelessly transmits the data gathered by the ITBH_ECWITMote to the ITBH_ECWIRMote, which is the second part of the system. With its ESP32 WiFi module, display, and power supply, this STM32-powered component has extra features that allow it to be connected to the internet and be monitored remotely for good performance.
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.
Through its STM32 CPU, the ITBH_ECWITMote serves as the main data acquisition unit for temperature, vibration, and current sensors, among other sensors. This device offers up-to-date information on the electric chipper's functioning state. It is possible to identify any anomalies or possible problems during operation in a timely manner by continuously monitoring important factors including power usage, vibration patterns, and temperature levels. The CC2500 RF module wirelessly transmits the data gathered by the ITBH_ECWITMote to the ITBH_ECWIRMote, which is the second part of the system. With its ESP32 WiFi module, display, and power supply, this STM32-powered component has extra features that allow it to be connected to the internet and be monitored remotely for good performance.

The health and performance of the chipper can be viewed in real-time by operators using a personalized web dashboard. By providing extensive insights into a range of data, this dashboard enables operators to identify any trends or anomalies that might lead to any problems with the chipper. Moreover, operators on-site can view the data directly on the device's display, giving them instant feedback. All things considered, this invention changes the way that heavy-duty electric chippers in the wood industries are monitored and maintained. Through the use of IoT technology, operators may proactively detect and fix problems, reducing maintenance costs, and increasing the general effectiveness and productivity of chipper operations.
BEST METHOD OF WORKING
The main data acquisition unit is the ITBH_ECWITMote, which is outfitted with an STM32 processor, a CC2500 RF module, a temperature sensor, a 3 axis vibration sensor, a current sensor, and a power supply. It gathers data in real-time from these sensors including temperature, vibration, and current to keep an eye on the functionality and health of self-feeding heavy-duty electric chippers in the wood industries.
By sending the data gathered from the ITBH_ECWITMote to a customized web dashboard and local display, the STM32 processor, CC2500 RF module, ESP32 wifi module, display, and power supply equipped on the ITBH_ECWIRMote enable remote monitoring and communication. This allows operators to monitor the condition and efficiency of self-feeding heavy-duty electric chippers in the wood industries in real-time.
To enable real-time monitoring of self-feeding heavy-duty electric chippers in the wood industries, the STM32 Processor is integrated with ITBH_ECWITMote and ITBH_ECWIRMote. It serves as the central processing unit in motes, handling data processing tasks and facilitating communication between various components.
The integrated CC2500 RF module in both motes facilitates wireless communication between the ITBH_ECWITMote and ITBH_ECWIRMote. This allows data acquired from sensors to be transmitted seamlessly, facilitating real-time monitoring of heavy-duty electric chippers in the wood industry that are self-feeding.
The Temperature Sensor's integration with ITBH_ECWITMote allows for real-time temperature monitoring in self-feeding, heavy-duty electric chippers used in the wood industry. This helps to ensure ideal operating conditions and prevent overheating.
The ITBH_ECWITMote and the 3 Axis Vibration Sensor work together to detect and measure vibrations in self-feeding heavy-duty electric chippers used in the wood industry. This integration gives the ITBH_ECWITMote vital information for real-time machine health and performance monitoring, which helps to avert potential damage or malfunctions.
The Current Sensor is integrated with the ITBH_ECWITMote and tracks the electricity usage of heavy-duty, self-feeding electric chippers in the wood industry. It gives the ITBH_ECWITMote vital information for in-the-moment power optimization and analysis to boost productivity and avoid overloading.
Through customized web dashboards and other online platforms, the ESP32 WiFi module is integrated with the ITBH_ECWIRMote to enable wireless connectivity and data transmission between the ITBH_ECWIRMote and external networks, enabling remote monitoring and management of self-feeding heavy-duty electric chippers in the wood industries.
The Power Supply, which is integrated with the ITBH_ECWITMote and ITBH_ECWIRMote, supplies the electrical energy required to run both of the motes and guarantees the ongoing operation of the heavy-duty electric chippers in the wood industry that self-feed.
ADVANTAGES OF THE INVENTION
1. The ITBH_ECWITMote, which serves as the main data collecting unit, collects data in real time from a variety of sensors, such as vibration, temperature, and current sensors. Its goal is to keep an eye on the condition and functionality of heavy-duty, self-feeding electric chippers used in the wood industry.
2. The ITBH_ECWIRMote is essential in relaying data gathered from the ITBH_ECWITMote to a customized web dashboard and a local display. It facilitates remote monitoring and communication. With the help of this functionality, operators in the wood industry are able to monitor the performance and health of heavy-duty electric chippers that feed themselves in real time.
3. Acting as the central processing unit, the STM32 Processor is the brains behind the ITBH_ECWITMote and ITBH_ECWIRMote. Its duties include managing data processing assignments and promoting communication between different parts, allowing for the real-time observation of heavy-duty electric chippers in the wood sectors that self-feed.
4. The ITBH_ECWITMote and ITBH_ECWIRMote may communicate wirelessly thanks to the CC2500 RF module. The smooth transfer of sensor data guarantees the continuous observation of heavy-duty electric chippers in the wood industry that are self-feeding.
5. The Temperature Sensor allows real-time temperature monitoring in self-feeding heavy-duty electric chippers used in the wood industries by providing vital environmental data to the ITBH_ECWITMote. Its job is to keep everything running at their best and avoid overheating.
6. The heavy-duty, self-feeding electric chippers used in the wood industry are equipped with a 3-axis vibration sensor that monitors and identifies vibrations. It enables real-time monitoring of machine health and performance to avert potential malfunctions or damage by providing vital data to the ITBH_ECWITMote.
7. In the wood industry, the Current Sensor tracks the electricity usage of heavy-duty, self-feeding electric chippers and feeds vital information to the ITBH_ECWITMote. Its purpose is to make real-time power usage analysis and optimization possible, improving productivity and avoiding overloading.
8. The ITBH_ECWIRMote's ESP32 WiFi module allows for wireless connectivity and data transfer between external networks. This feature makes it easier to remotely monitor and control heavy-duty electric chippers in the wood industry that self-feed using customized web dashboards and other internet platforms.
, Claims:1. An iot technology based health monitoring device for self-feeding heavy-duty electric chippers used in woods industries comprises ITBH_ECWITMote (11aa), which is outfitted with an STM32 processor, a CC2500 RF module (15ee), a temperature sensor (14dd), a 3 axis vibration sensor (13cc), a current sensor (16ff), and a power supply (12bb), it gathers data in real-time from these sensors including temperature, vibration, and current to keep an eye on the functionality and health of self-feeding heavy-duty electric chippers in the wood industries.
2. The device as claimed in claim 1, wherein by sending the data gathered from the ITBH_ECWITMote to a customized web dashboard and local display, the STM32 processor, CC2500 RF module, ESP32 wifi module, display, and power supply equipped on the ITBH_ECWIRMote enable remote monitoring and communication, this allows operators to monitor the condition and efficiency of self-feeding heavy-duty electric chippers in the wood industries in real-time.
3. The device as claimed in claim 1, wherein to enable real-time monitoring of self-feeding heavy-duty electric chippers in the wood industries, the STM32 Processor is integrated with ITBH_ECWITMote and ITBH_ECWIRMote, it serves as the central processing unit in motes, handling data processing tasks and facilitating communication between various components.
4. The device as claimed in claim 1, wherein the integrated CC2500 RF module in both motes facilitates wireless communication between the ITBH_ECWITMote and ITBH_ECWIRMote, this allows data acquired from sensors to be transmitted seamlessly, facilitating real-time monitoring of heavy-duty electric chippers in the wood industry that are self-feeding.
5. The device as claimed in claim 1, wherein the Temperature Sensor's integration with ITBH_ECWITMote allows for real-time temperature monitoring in self-feeding, heavy-duty electric chippers used in the wood industry, this helps to ensure ideal operating conditions and prevent overheating.
6. The device as claimed in claim 1, wherein the ITBH_ECWITMote and the 3 Axis Vibration Sensor work together to detect and measure vibrations in self-feeding heavy-duty electric chippers used in the wood industry, this integration gives the ITBH_ECWITMote vital information for real-time machine health and performance monitoring, which helps to avert potential damage or malfunctions.
7. The device as claimed in claim 1, wherein the Current Sensor is integrated with the ITBH_ECWITMote and tracks the electricity usage of heavy-duty, self-feeding electric chippers in the wood industry, it gives the ITBH_ECWITMote vital information for in-the-moment power optimization and analysis to boost productivity and avoid overloading.
8. The device as claimed in claim 1, wherein through customized web dashboards and other online platforms, the ESP32 WiFi module is integrated with the ITBH_ECWIRMote to enable wireless connectivity and data transmission between the ITBH_ECWIRMote and external networks, enabling remote monitoring and management of self-feeding heavy-duty electric chippers in the wood industries.
9. The device as claimed in claim 1, wherein the Power Supply, which is integrated with the ITBH_ECWITMote and ITBH_ECWIRMote, supplies the electrical energy required to run both of the motes and guarantees the ongoing operation of the heavy-duty electric chippers in the wood industry that self-feed.

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