WPAN-ENABLED WIRELESS HEALTH MONITORING FOR ELECTRIC BAND SAWMILL IN INDUSTRIAL MILLING

Abstract

A system of wpan-enabled wireless health monitoring for electric band sawmill in industrial milling comprises EWHME_SIMTMote (131a), which is outfitted with a TI MSP430 Processor Board (135e), an XBee RF Module (133c), a current sensor (134d), a temperature sensor (132b), a vibration sensor (136f), and a power supply (137g), its array of sensors allows it to collect vital operational health data from Electric Band Sawmills, enabling proactive maintenance and optimization of milling operations to complement the EWHME_SIMTMote, the EWHME_SIMRMote, outfitted with a TI MSP430 Processor Board, XBee Module, ESP8266 Wifi board, TFT display, and Power Supply, offers remote access to real-time data gathered from Electric Band Sawmills, this allows operators to keep an eye on the condition of their equipment, make well-informed decisions, and optimize milling operations from any location with internet connectivity.

Specification

Description:FIELD OF THE INVENTION
This invention relates to wpan-enabled wireless health monitoring for electric band sawmill in industrial milling.
BACKGROUND OF THE INVENTION
This development offers an all-encompassing method of real-time health monitoring designed especially for Electric Band Sawmills in industrial milling operations. This invention represents a major advancement in industrial IoT, offering a flexible and scalable way to maximize efficiency and guarantee the smooth operation of Electric Band Sawmills in industrial milling environments.
This invention addresses the difficulty of integrating proactive and efficient health monitoring systems in industrial milling processes, with an emphasis on electric band sawmills. Real-time functions are often absent from conventional monitoring approaches, which leaves room for equipment failures, operational disruptions, and safety hazards.
US20130283991A1: A saw head apparatus for a portable saw mill includes a housing and a reinforcement structure. The housings containing first and second band wheels on which a saw blade is supported. The housing has a rear wall, side walls and at least one front wall. The rear wall has a width extending transverse a longitudinal direction of the saw mill bed. The reinforcement structure extends widthwise across over half of the width of the rear wall. The reinforcement structure is affixed to the rear wall and is disposed between the rear wall and the at least one front wall.
RESEARCH GAP: A Wireless solution for monitoring the health of Electric Band Sawmill used in Industrial Milling using XBee WPAN Technology is the novelty of the system.
US20230036267A1: A sawmill assembly includes a bed and a carriage. The bed has a pair of substantially parallel rails, and the carriage is movably supported along the rails. The bed includes an extension bed member pivotably attached to a main bed member with a combination bunk/hinge to allow an operator to fold the bed between an extended in use position and a stowed position for transporting the sawmill assembly to or from a work site with a tow vehicle.
RESEARCH GAP: A Wireless solution for monitoring the health of Electric Band Sawmill used in Industrial Milling using XBee WPAN Technology 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 a special emphasis on electric band sawmills, the EWHME_SIMTMote and EWHME_SIMRMote devices bring a paradigm leap in industrial milling health monitoring. The EWHME_SIMTMote serves as the main data gathering device and is furnished with a number of sensors, including the temperature, vibration, XBee RF Module, TI MSP430 Processor Board, and current and temperature sensors. These sensors collect vital information on a continual basis about the band sawmill's operating condition, such as vibration levels, temperature swings, and current consumption. Through proactive maintenance requirements and early issue detection made possible by this real-time data collecting, operators may minimize downtime and increase productivity.
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 a special emphasis on electric band sawmills, the EWHME_SIMTMote and EWHME_SIMRMote devices bring a paradigm leap in industrial milling health monitoring. The EWHME_SIMTMote serves as the main data gathering device and is furnished with a number of sensors, including the temperature, vibration, XBee RF Module, TI MSP430 Processor Board, and current and temperature sensors. These sensors collect vital information on a continual basis about the band sawmill's operating condition, such as vibration levels, temperature swings, and current consumption. Through proactive maintenance requirements and early issue detection made possible by this real-time data collecting, operators may minimize downtime and increase productivity.
Simultaneously, the EWHME_SIMRMote provides remote monitoring capabilities to enhance the data collection process. Other parts included in this gadget include the TFT display, power supply, ESP8266 WiFi board, XBee Module, and TI MSP430 Processor Board. The ESP8266 WiFi board's integration provides smooth internet connectivity, enabling remote access to the data that has been gathered. Operators from any location with internet access may keep an eye on the band sawmill's health thanks to a customized web interface. In addition, the TFT display allows local monitoring for operators present on the site, guaranteeing the availability of vital information even when internet connectivity is unavailable.
BEST METHOD OF WORKING
The main data collection unit in this innovation is the EWHME_SIMTMote, which is outfitted with a TI MSP430 Processor Board, an XBee RF Module, a current sensor, a temperature sensor, a vibration sensor, and a power supply. Its array of sensors allows it to collect vital operational health data from Electric Band Sawmills, enabling proactive maintenance and optimization of milling operations.
To complement the EWHME_SIMTMote, the EWHME_SIMRMote, outfitted with a TI MSP430 Processor Board, XBee Module, ESP8266 Wifi board, TFT display, and Power Supply, offers remote access to real-time data gathered from Electric Band Sawmills. This allows operators to keep an eye on the condition of their equipment, make well-informed decisions, and optimize milling operations from any location with internet connectivity.
The TI MSP430 Processor Board functions as the central processing unit and is integrated with the EWHME_SIMTMote and EWHME_SIMRMote devices. It facilitates data collection, analysis, and communication within the devices, allowing for remote accessibility and real-time monitoring of Electric Band Sawmill health data.
The Electric Band Sawmill health monitoring system can transmit data and perform remote monitoring thanks to the integration of the XBee RF Module with the EWHME_SIMTMote and EWHME_SIMRMote devices. This allows for wireless communication between the two devices.
The Current Sensor, which is integrated with EWHME_SIMTMote, tracks electricity consumption in the Electric Band Sawmill and provides vital information for evaluating the operation's well-being and identifying possible problems with power utilization.
The Electric Band Sawmill's temperature is measured by the Temperature Sensor, which is integrated with the EWHME_SIMTMote. This enables real-time temperature monitoring to avoid overheating and guarantee ideal working conditions.
The EWHME_SIMTMote-integrated Vibration Sensor measures mechanical vibrations in the Electric Band Sawmill, offering information about the condition of the machinery and facilitating the early identification of possible problems like wear or imbalance. This promotes preventive maintenance and guarantees operational effectiveness.
The ESP8266 WiFi board is connected with EWHME_SIMRMote, allowing the device to connect wirelessly to the internet. This improves operational flexibility and accessibility and allows for remote monitoring of Electric Band Sawmill health data through a customized online dashboard.
The TFT display is connected with EWHME_SIMRMote and offers operators a local interface to show real-time data obtained from the Electric Band Sawmill. This allows operators to make decisions and check equipment status immediately, enabling on-site monitoring.
The Power Supply plugs into the EWHME_SIMTMote and EWHME_SIMRMote devices, giving the Electric Band Sawmill health monitoring system the electrical energy it needs to power all of its parts and maintain continuous data collecting and communication.
ADVANTAGES OF THE INVENTION
1. The EWHME_SIMTMote, the key data collection device in this innovation, uses a variety of sensors to capture vital operational health data from Electric Band Sawmills, enabling preventative maintenance and milling operation optimization.
2. The EWHME_SIMRMote is a supplement to the EWHME_SIMTMote. It provides operators with remote access to real-time data gathered from Electric Band Sawmills, enabling them to watch the condition of their equipment, make wise decisions, and maximize milling operations from any location with internet access.
3. The EWHME_SIMTMote and EWHME_SIMRMote devices can collect, analyze, and communicate data thanks to the TI MSP430 Processor Board, which serves as the central processing unit. This makes it easier to access and monitor Electric Band Sawmill health data remotely and in real time.
4. In the Electric Band Sawmill health monitoring system, the XBee RF Module permits data transmission and remote monitoring capabilities by facilitating wireless connectivity between the EWHME_SIMTMote and EWHME_SIMRMote devices.
5. The Electric Band Sawmill's Current Sensor keeps an eye on the amount of electricity used there. It provides vital information for evaluating the sawmill's operational health and identifying possible problems with power utilization.
6. The Temperature Sensor measures the amount of heat inside the Electric Band Sawmill and enables real-time temperature monitoring to guard against overheating and guarantee ideal operating conditions.
7. The Vibration Sensor helps with preventive maintenance and ensures operational efficiency by detecting mechanical vibrations within the Electric Band Sawmill. It also provides insights into equipment health and enables early detection of potential concerns like imbalance or wear.
8. The ESP8266 WiFi board improves operational flexibility and accessibility by providing wireless internet connectivity for the EWHME_SIMRMote device. This allows for remote monitoring of Electric Band Sawmill health data through a customized online dashboard.
9. The TFT display gives operators a local interface to see real-time data gathered from the Electric Band Sawmill. It also makes on-site monitoring and decision-making easier by giving operators quick insights into the condition of the equipment.
, Claims:1. A system of wpan-enabled wireless health monitoring for electric band sawmill in industrial milling comprises EWHME_SIMTMote (131a), which is outfitted with a TI MSP430 Processor Board (135e), an XBee RF Module (133c), a current sensor (134d), a temperature sensor (132b), a vibration sensor (136f), and a power supply (137g), its array of sensors allows it to collect vital operational health data from Electric Band Sawmills, enabling proactive maintenance and optimization of milling operations.
2. The system as claimed in claim 1, wherein to complement the EWHME_SIMTMote, the EWHME_SIMRMote, outfitted with a TI MSP430 Processor Board, XBee Module, ESP8266 Wifi board, TFT display, and Power Supply, offers remote access to real-time data gathered from Electric Band Sawmills, this allows operators to keep an eye on the condition of their equipment, make well-informed decisions, and optimize milling operations from any location with internet connectivity.
3. The system as claimed in claim 1, wherein the TI MSP430 Processor Board functions as the central processing unit and is integrated with the EWHME_SIMTMote and EWHME_SIMRMote devices, it facilitates data collection, analysis, and communication within the devices, allowing for remote accessibility and real-time monitoring of Electric Band Sawmill health data.
4. The system as claimed in claim 1, wherein the Electric Band Sawmill health monitoring system can transmit data and perform remote monitoring thanks to the integration of the XBee RF Module with the EWHME_SIMTMote and EWHME_SIMRMote devices, this allows for wireless communication between the two devices.
5. The system as claimed in claim 1, wherein the Current Sensor, which is integrated with EWHME_SIMTMote, tracks electricity consumption in the Electric Band Sawmill and provides vital information for evaluating the operation's well-being and identifying possible problems with power utilization.
6. The system as claimed in claim 1, wherein the Electric Band Sawmill's temperature is measured by the Temperature Sensor, which is integrated with the EWHME_SIMTMote, this enables real-time temperature monitoring to avoid overheating and guarantee ideal working conditions.
7. The system as claimed in claim 1, wherein the EWHME_SIMTMote-integrated Vibration Sensor measures mechanical vibrations in the Electric Band Sawmill, offering information about the condition of the machinery and facilitating the early identification of possible problems like wear or imbalance, this promotes preventive maintenance and guarantees operational effectiveness.
8. The system as claimed in claim 1, wherein the ESP8266 WiFi board is connected with EWHME_SIMRMote, allowing the device to connect wirelessly to the internet, this improves operational flexibility and accessibility and allows for remote monitoring of Electric Band Sawmill health data through a customized online dashboard.
9. The system as claimed in claim 1, wherein the TFT display is connected with EWHME_SIMRMote and offers operators a local interface to show real-time data obtained from the Electric Band Sawmill, this allows operators to make decisions and check equipment status immediately, enabling on-site monitoring.
10. The system as claimed in claim 1, wherein the Power Supply plugs into the EWHME_SIMTMote and EWHME_SIMRMote devices, giving the Electric Band Sawmill health monitoring system the electrical energy it needs to power all of its parts and maintain continuous data collecting and communication.

Documents