CENTRALIZED HEALTH MONITORING AND FFT ANALYSIS SOLUTION FOR FULLY HYDRAULIC BAND SAWMILL IN INDUSTRIAL ENVIRONMENTS USING CC2500 RF TECHNOLOGY

Abstract

A Centralized Health Monitoring and FFT Analysis Solution for Fully Hydraulic Band Sawmill in Industrial Environments Using CC2500 RF Technology A Centralized Health Monitoring and FFT Analysis Solution for Fully Hydraulic Band Sawmills integrates a CTHM_WFAMote with an STM8L MCU, CC2500 RF Module, Temperature Sensor, MEMS Vibration Sensor, Pressure Sensor, and Current Sensor for real-time data collection, analysis, and health monitoring. The system includes a CRHM_WFAMote with an STM8L MCU, CC2500 RF Module, ESP01 WiFi Module, and HMI Display for remote monitoring and IoT connectivity, enabling data transfer to a customized cloud server for advanced analytics. This innovation ensures proactive maintenance, real-time visualization, and enhanced efficiency in industrial band sawmill operations.

Specification

Description:FIELD OF THE INVENTION
This invention relates to Centralized Health Monitoring and FFT Analysis Solution for Fully Hydraulic Band Sawmill in Industrial Environments Using CC2500 RF Technology
BACKGROUND OF THE INVENTION
With this invention, the problem of the lack of effective, centralized health monitoring systems for completely hydraulic band sawmills in industrial environments is addressed. Traditional methods of monitoring are usually based on hand inspections or disjointed systems and are unable to provide real-time information about the overall condition and functioning state of the equipment.
US7444912B2 - A portable sawmill with bi-directional cutting circular saws includes a saw support pivotally mounted to a primary support structure for pivotal movement about a pivot axis transverse to the direction of movement. Two circular saws are rotatably mounted one above the other on the saw support. A first one of the two circular saws rotates in a first rotational direction, and a second one rotates in a second rotational direction. The teeth on both saws are always moving toward a log resting on the log support as the log is being cut. An actuator selectively pivots the saw support to invert the positioning of the two saws, ensuring the teeth on both saws continue moving toward the log upon a change in direction.
Research Gap: Wireless Health Monitoring and FFT Analysis for Fully Hydraulic Band Sawmill using CC2500 RF and IoT introduces the novelty of integrating IoT-based wireless health monitoring and frequency domain analysis into fully hydraulic band sawmills, significantly enhancing operational monitoring and predictive maintenance capabilities.
ES2564411T3 - Procedure for controlling a sawmill with a saw tool driven by an electric drive via a first frequency converter. The saw tool is moved towards a workpiece with a feed rate that transitions from an idling speed to a working feed rate when contact is made with the workpiece. The first frequency converter determines or calculates a physical magnitude value corresponding to the torque transmitted by the saw tool drive. The transition from idling speed to working feed rate occurs based on this physical magnitude value.
Research Gap: Wireless Health Monitoring and FFT Analysis for Fully Hydraulic Band Sawmill using CC2500 RF and IoT advances this system by incorporating real-time IoT-based wireless health monitoring alongside FFT analysis, providing enhanced diagnostics and system performance insights in hydraulic band sawmills.
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. With this invention, the problem of the lack of effective, centralized health monitoring systems for completely hydraulic band sawmills in industrial environments is addressed. Traditional methods of monitoring are usually based on hand inspections or disjointed systems and are unable to provide real-time information about the overall condition and functioning state of the equipment. This gap in monitoring makes it difficult to spot any problems early on, which raises the chance of unanticipated failures, increases maintenance expenses, and reduces downtime. 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.
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 system is novel in that it creates a closed-loop mechanism that includes wireless transmission, on-site analysis, local data collection, and cloud-based processing for advanced analytics. The operation is a well-planned procedure that easily fits into the examination and observation of fully hydraulic band sawmills in industrial settings. With sensors for temperature, vibration, pressure, and current as well as other functions, the CTHM_WFAMote is positioned in a strategic manner inside the band sawmill to continuously collect real-time data on critical operational parameters. Using pre-programmed algorithms, the STM8L MCU on the CTHM_WFAMote analyzes the data locally and determines the band sawmill's health based on sensor readings.
The CC2500 RF Module, which is included into the CTHM_WFAMote and CRHM_WFAMote, creates a dependable wireless link between the monitoring unit and the remote unit to facilitate effective communication and data transfer. This makes it easier to transfer processed data in real time from the CTHM_WFAMote to the CRHM_WFAMote. As the remote monitoring unit, the CRHM_WFAMote has an ESP01 WiFi module for Internet of Things connectivity. This allows the data to be transferred from the device to a customized cloud server created for this innovation. Predefined machine learning algorithms that provide sophisticated analytics, such as trending data charts, crucial warnings, and daily analytics, are hosted on the cloud server. The CRHM_WFAMote's HMI Display enables local real-time result viewing at the same time. The primary operator interface is the customized web dashboard located on the cloud server. Operators can use the statistics and trends supplied by the cloud-based system to make well-informed decisions by going into their accounts and accessing a detailed overview of the band sawmill's health.
BEST METHOD OF WORKING
1. With its STM8L MCU, CC2500 RF Module, Temperature Sensor, MEMS Vibration Sensor, Pressure Sensor, Current Sensor, and Power Supply, the CTHM_WFAMote is used to collect, analyze, and transmit real-time data from various sensors embedded within fully hydraulic band sawmills. This allows for proactive health monitoring and extends the lifespan and overall efficiency of the industrial equipment.
2. With its STM8L MCU, CC2500 RF Module, ESP01 Wifi, HMI Display, and Power Supply, the CRHM_WFAMote is utilized as a remote monitoring unit with ESP01 Wifi connectivity. This allows the transmission of analyzed data from the CTHM_WFAMote to a customized cloud server, where pre-programmed machine learning algorithms produce insights. With this information, operators can access thorough analytics and make well-informed decisions regarding the centralized health monitoring of fully hydraulic band sawmills in industrial settings.
3. The STM8L MCU, which is installed in both motes, is utilized to supply the computational capacity required for on-board data analysis and the running of preset algorithms in the CTHM_WFAMote and CRHM_WFAMote. This allows for the real-time evaluation of health and enhances the overall effectiveness of the fully hydraulic band sawmill monitoring system.
4. The CC2500 RF Module, which is also included in both mtoes, is utilized to enable smooth wireless communication between the CRHM_WFAMote and the CTHM_WFAMote, which are in charge of local analysis and data collection. This allows for the effective transmission of real-time health data from fully hydraulic band sawmills to the remote monitoring unit and enhances the efficacy of the centralized health monitoring system as a whole.
5. The CTHM_WFAMote is connected to the Temperature, MEMS Vibration, Pressure, and Current sensors, which are all used to enable thorough monitoring of critical operational parameters within fully hydraulic band sawmills. These sensors provide real-time data for analysis and help accurately assess the health of the machinery in industrial environments.
6. The CRHM_WFAMote's integrated ESP01 WiFi module enables smooth Internet of Things connectivity. This allows data analysis from fully hydraulic band sawmills to be transmitted to a customized cloud server, where sophisticated machine learning algorithms produce insights for thorough health monitoring and industrial decision-making.
7. The HMI Display, which is also interfaced with the CRHM_WFAMote, is utilized to improve user accessibility, visualize health data in real time locally, and support the effective monitoring and running of fully hydraulic band sawmills in industrial settings.

ADVANTAGES OF THE INVENTION
1. A key component of this creative solution is the CTHM_WFAMote, which facilitates the smooth real-time data collecting from several sensors integrated into fully hydraulic band sawmills. Proactive health monitoring is made possible by this feature, which greatly enhances the general effectiveness and lifespan of industrial equipment.
2. The CRHM_WFAMote, a remote monitoring device with ESP01 WiFi connectivity, plays a crucial part in this innovation. It makes it easier for the CTHM_WFAMote to transmit processed data to a dedicated cloud server. Operators can access comprehensive information and make educated decisions for centralized health monitoring of fully hydraulic band sawmills in industrial applications thanks to insights generated by predefined machine learning algorithms on the server.
3. The CC2500 RF Module is essential to maintaining smooth wireless connection between the CRHM_WFAMote and the CTHM_WFAMote, which are in charge of data gathering and local analysis. This feature makes it possible for completely hydraulic band sawmills to transmit real-time health data to the remote monitoring unit in an efficient manner, which greatly enhances the centralized health monitoring system's overall efficacy.
4. Complete operational parameter monitoring in fully hydraulic band sawmills is made possible by the CTHM_WFAMote's integration of the Temperature Sensor, MEMS Vibration Sensor, Pressure Sensor, and Current Sensor. In industrial settings, this configuration helps to accurately analyze the health of the machinery by providing real-time data for study.
5. Smooth IoT connectivity is ensured by the ESP01 Wifi module's integration into the CRHM_WFAMote. With the help of this function, completely hydraulic band sawmills may transmit their evaluated data to a customized cloud server, where sophisticated machine learning algorithms can produce insights for industrial settings' comprehensive health monitoring and decision-making.
, Claims:1. A Centralized Health Monitoring and FFT Analysis system for Fully Hydraulic Band Sawmill in Industrial Environments Using CC2500 RF Technology, comprises a CTHM_WFAMote (101) integrated with an STM8L MCU (102), CC2500 RF Module (103), Temperature Sensor (104), MEMS Vibration Sensor (105), Pressure Sensor (106), Current Sensor (107), and Power Supply (108), enabling real-time data collection, analysis, and transmission for proactive health monitoring and improved efficiency of fully hydraulic band sawmills in industrial settings.
2. The system, as claimed in Claim 1, wherein the CRHM_WFAMote (201) is equipped with an STM8L MCU (202), CC2500 RF Module (203), ESP01 WiFi Module (204), HMI Display (205), and Power Supply (206), providing remote monitoring capabilities, real-time visualization of health data, and seamless data transfer to a customized cloud server for advanced analytics.
3. The system, as claimed in Claim 1, wherein the CC2500 RF Module (103, 203) facilitates wireless communication between CTHM_WFAMote and CRHM_WFAMote, ensuring efficient real-time data transmission and effective coordination for centralized health monitoring of fully hydraulic band sawmills.
4. The system, as claimed in Claim 1, wherein the integrated Temperature Sensor (104), MEMS Vibration Sensor (105), Pressure Sensor (106), and Current Sensor (107) in CTHM_WFAMote provide comprehensive monitoring of critical operational parameters, ensuring accurate health assessment of fully hydraulic band sawmills.
5. The system, as claimed in Claim 1, wherein the ESP01 WiFi Module (204) in CRHM_WFAMote ensures IoT connectivity, allowing seamless data transfer to a customized cloud server where advanced machine learning algorithms generate insights for proactive monitoring and decision-making.
6. The system, as claimed in Claim 1, wherein the HMI Display (205) interfaced with CRHM_WFAMote provides local real-time visualization of health data and operational parameters, enhancing accessibility and user interaction in industrial settings.

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