AI-BASED RECOMMENDATION SYSTEM UTILIZING 3-AXIS VIBRATION DATA FOR VERTICAL HYDRAULIC FIREWOOD PROCESSOR IN TIMBER INDUSTRY

Abstract

An ai-based recommendation system utilizing 3-axis vibration data for vertical hydraulic firewood processor in timber industry comprises Raspberry Pi (117), neural stick (116), GSM modem (112), 3 Axis MEMS vibration sensor (115), buzzer (114), and power supply (113), the ABRS_FPTITMote (111) is a complete monitoring and alert system that uses artificial intelligence algorithms and 3-axis vibration data to improve the safety and operational efficiency of Vertical Hydraulic Firewood Processors in the timber industry, it does this by giving operators real-time insights and prompt alerts through a customized web dashboard utilizing ABRS_FPTITMote as the central processing unit, the Raspberry Pi is integrated to enable real-time monitoring and communication of 3-axis vibration data from Vertical Hydraulic Firewood Processors to a customized web dashboard for operators in the Timber Industry, this process facilitates data collection, analysis, and connectivity.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-based recommendation system utilizing 3-axis vibration data for vertical hydraulic firewood processor in timber industry.
BACKGROUND OF THE INVENTION
This cutting-edge technology was created especially to track and enhance the performance of Vertical Hydraulic Firewood Processors in the timber sector. By using state-of-the-art artificial intelligence algorithms and a 3-axis vibration sensor, the gadget continuously analyzes vibration data in real-time to identify anomalies or potential problems that may arise while the machine is operating. This cutting-edge solution gives operators the capacity to view a customized web dashboard from a distance, providing insightful information about the machine's operation and sending out instant notifications when unusual vibrations are detected. In the end, this feature contributes to improved safety, reduced downtime, and maximized production in the timber industry by streamlining proactive maintenance and guaranteeing the prompt identification of operational abnormalities.
Maintaining the optimal performance and safety standards of Vertical Hydraulic Firewood Processors is a challenge for the timber industry. Existing monitoring systems often do not have real-time functionality, which makes it difficult to quickly detect anomalies or possible problems while the machines are operating.
US10391668B2: A firewood processor, comprising a saw, means for feeding wood for the saw, a splitting chute, a splitting wedge arranged to split a log, of which at least part is arranged in the splitting chute, into pieces, a pressure plate arranged to support the log, and means for moving the pressure plate and/or the splitting wedge towards each other in such a way that the log is configured to be split by said movement. In the firewood processor, the splitting wedge is arranged to split the log into an intermediate split log and at least one firewood-ready piece. The firewood processor further comprises a returning element for returning the intermediate split log back to the splitting chute for further splitting and a protector for protecting the user of the firewood processor. The firewood processor is configured to automatically return the intermediate split log, using the returning element, to the splitting chute.
RESEARCH GAP: An AI based Recommendation system for Vertical Hydraulic Firewood Processor in Timber Industry is the novelty of the system.
FI127592B: The firewood processor, comprising a saw, a splitting chute, a splitting wedge arranged to split the log into pieces, a pressure plate, and means for moving the pressure plate and / or splitting wedge towards each other in such a way that the log is configured to without split by said movement. The firewood processor consists of an end stopper arranged at a distance from the saw and configured to support an end of the wood and to define the length of the cut log, an actuator configured to move the end stopwatch in relation to the saw and a controller configured to Engage the actuator in response to a control signal.
RESEARCH GAP: An AI based Recommendation system for Vertical Hydraulic Firewood Processor in Timber Industry 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.
In order to track the vibrations of vertical hydraulic firewood processors in the timber industry, an integrated system called the ABRS_FPTITMote was developed. To enable effective data collecting, processing, and communication, its key parts the Raspberry Pi, neural stick, GSM modem, 3 Axis MEMS vibration sensor, buzzer, and power supply work together. On the Vertical Hydraulic Firewood Processor, the carefully positioned 3 Axis MEMS Vibration Sensor records real-time vibration data along three dimensions, looking for deviations or irregularities that can point to possible problems or operational inefficiencies.
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.
In order to track the vibrations of vertical hydraulic firewood processors in the timber industry, an integrated system called the ABRS_FPTITMote was developed. To enable effective data collecting, processing, and communication, its key parts the Raspberry Pi, neural stick, GSM modem, 3 Axis MEMS vibration sensor, buzzer, and power supply work together. On the Vertical Hydraulic Firewood Processor, the carefully positioned 3 Axis MEMS Vibration Sensor records real-time vibration data along three dimensions, looking for deviations or irregularities that can point to possible problems or operational inefficiencies.

The Raspberry Pi, which functions as the central processing unit, receives the vibration data that has been collected. The complex AI algorithms in charge of evaluating vibration patterns are processed effectively by the neural stick, which is probably hardware for an AI accelerator. These algorithms are painstakingly designed to distinguish between typical operating circumstances and anomalies that can indicate problems or require maintenance. The GSM modem allows the gadget to connect to the internet, which makes remote monitoring and control possible. Operators can view real-time vibration data and gain insights from the AI algorithms through a customized web dashboard, which helps them make well-informed decisions about the upkeep and operation of the Vertical Hydraulic Firewood Processor. Apart from its visual monitoring feature, the device also has a buzzer that functions as an instant alert mechanism. The buzzer alerts the operator to potential issues and facilitates the timely deployment of preventive actions when the AI algorithms identify irregular vibrations that exceed a specified threshold.
BEST METHOD OF WORKING
With its Raspberry Pi, neural stick, GSM modem, 3 Axis MEMS vibration sensor, buzzer, and power supply, the ABRS_FPTITMote is a complete monitoring and alert system that uses artificial intelligence algorithms and 3-axis vibration data to improve the safety and operational efficiency of Vertical Hydraulic Firewood Processors in the timber industry. It does this by giving operators real-time insights and prompt alerts through a customized web dashboard.
Utilizing ABRS_FPTITMote as the central processing unit, the Raspberry Pi is integrated to enable real-time monitoring and communication of 3-axis vibration data from Vertical Hydraulic Firewood Processors to a customized web dashboard for operators in the Timber Industry. This process facilitates data collection, analysis, and connectivity.
The neural stick, when combined with ABRS_FPTITMote, speeds up artificial intelligence algorithms and facilitates the effective processing of intricate vibration data from Vertical Hydraulic Firewood Processors. This improves the system's ability to detect anomalies in real-time operations, leading to increased efficiency and safety in the timber industry.
The ABRS_FPTITMote and the GSM Modem are integrated. This allows for internet connectivity on the mote and gives operators remote access to a customized web dashboard where they can monitor 3-axis vibration data from Vertical Hydraulic Firewood Processors. This improves real-time alerting and decision-making in the timber industry.
The 3 Axis MEMS Vibration Sensor is integrated with ABRS_FPTITMote to capture real-time vibration data. This allows for timely alerts and decision-making for improved safety and efficiency in the timber industry. It also provides critical insights into the operational status of Vertical Hydraulic Firewood Processors.
As an instant alert system, the buzzer is integrated with ABRS_FPTITMote functions. It activates in response to abnormal vibrations picked up by the 3 Axis MEMS Vibration Sensor and is analyzed by artificial intelligence algorithms. This guarantees prompt operator notification for proactive intervention in the timber industry.
By providing the energy required for the 3 Axis MEMS Vibration Sensor, Raspberry Pi, neural stick, GSM Modem, and buzzer, the power supply plug-in into ABRS_FPTITMote ensures the continuous and dependable operation of the entire monitoring system, maintaining the real-time monitoring and alert capabilities for Vertical Hydraulic Firewood Processors in the Timber Industry.
ADVANTAGES OF THE INVENTION
1. The ABRS_FPTITMote serves as an all-inclusive monitoring and warning system that enhances the operational effectiveness and safety of Vertical Hydraulic Firewood Processors in the Timber Industry by employing artificial intelligence algorithms and 3-axis vibration data. It accomplishes this by giving operators instantaneous alerts and real-time data via a personalized online interface.
2. The Raspberry Pi facilitates data gathering, analysis, and communication as the ABRS_FPTITMote's central processing unit. This allows 3-axis vibration data from Vertical Hydraulic Firewood Processors to be monitored in real-time and communicated to a customized online dashboard intended for use by operators in the timber industry.
3. By speeding up AI algorithms on the ABRS_FPTITMote, the neural stick improves the effectiveness of analyzing intricate vibration data from Vertical Hydraulic Firewood Processors. This feature enhances the system's capacity to spot abnormalities in operation in real time, which helps the timber industry operate more safely and efficiently.
4. The ABRS_FPTITMote's GSM Modem makes it possible for internet access, allowing for remote access to a customized web dashboard. Through the monitoring of 3-axis vibration data from Vertical Hydraulic Firewood Processors, operators can improve the Timber Industry's ability to make decisions and send out alerts in real time.
5. The 3 Axis MEMS Vibration Sensor records vibration data in real time on the ABRS_FPTITMote, giving important information about the Vertical Hydraulic Firewood Processors' working state. This feature facilitates prompt notifications and decision-making for enhanced security and effectiveness within the timber sector.
6. The ABRS_FPTITMote's buzzer functions as an instant alert system, sounding when the 3 Axis MEMS Vibration Sensor picks up unusual vibrations that are then processed by artificial intelligence algorithms. This guarantees prompt operator notice for proactive timber industry assistance.
, Claims:1. An ai-based recommendation system utilizing 3-axis vibration data for vertical hydraulic firewood processor in timber industry comprises Raspberry Pi (117), neural stick (116), GSM modem (112), 3 Axis MEMS vibration sensor (115), buzzer (114), and power supply (113), the ABRS_FPTITMote (111) is a complete monitoring and alert system that uses artificial intelligence algorithms and 3-axis vibration data to improve the safety and operational efficiency of Vertical Hydraulic Firewood Processors in the timber industry, it does this by giving operators real-time insights and prompt alerts through a customized web dashboard.
2. The system as claimed in claim 1, wherein utilizing ABRS_FPTITMote as the central processing unit, the Raspberry Pi is integrated to enable real-time monitoring and communication of 3-axis vibration data from Vertical Hydraulic Firewood Processors to a customized web dashboard for operators in the Timber Industry, this process facilitates data collection, analysis, and connectivity.
3. The system as claimed in claim 1, wherein the neural stick, when combined with ABRS_FPTITMote, speeds up artificial intelligence algorithms and facilitates the effective processing of intricate vibration data from Vertical Hydraulic Firewood Processors, this improves the system's ability to detect anomalies in real-time operations, leading to increased efficiency and safety in the timber industry.
4. The system as claimed in claim 1, wherein the ABRS_FPTITMote and the GSM Modem are integrated, this allows for internet connectivity on the mote and gives operators remote access to a customized web dashboard where they can monitor 3-axis vibration data from Vertical Hydraulic Firewood Processors, this improves real-time alerting and decision-making in the timber industry.
5. The system as claimed in claim 1, wherein the 3 Axis MEMS Vibration Sensor is integrated with ABRS_FPTITMote to capture real-time vibration data, this allows for timely alerts and decision-making for improved safety and efficiency in the timber industry, it also provides critical insights into the operational status of Vertical Hydraulic Firewood Processors.
6. The system as claimed in claim 1, wherein as an instant alert system, the buzzer is integrated with ABRS_FPTITMote functions, it activates in response to abnormal vibrations picked up by the 3 Axis MEMS Vibration Sensor and is analyzed by artificial intelligence algorithms, this guarantees prompt operator notification for proactive intervention in the timber industry.
7. The system as claimed in claim 1, wherein by providing the energy required for the 3 Axis MEMS Vibration Sensor, Raspberry Pi, neural stick, GSM Modem, and buzzer, the power supply plug-in into ABRS_FPTITMote ensures the continuous and dependable operation of the entire monitoring system, maintaining the real-time monitoring and alert capabilities for Vertical Hydraulic Firewood Processors in the Timber Industry.

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