AI BASED RECOMMENDATION SYSTEM FOR THE HEALTH OF CARDBOARD SHREDDER WITHIN PAPER INDUSTRY

Abstract

based Recommendation System for the Health of Cardboard Shredder within Paper Industry This innovative technology leverages IoT and cloud-based technologies to revolutionize the management and maintenance of cardboard shredders in the paper industry. By utilizing an array of sensors to collect real-time data on temperature, vibration, humidity, and pressure, the system sends this data to a cloud server where Machine Learning algorithms analyze it to generate AI-powered recommendations and critical alerts. This approach significantly improves operational efficiency by enabling predictive maintenance, reducing downtime, and facilitating real-time, informed decision-making based on comprehensive health assessments of cardboard shredders.

Specification

Description:FIELD OF THE INVENTION
This invention relates to AI based Recommendation System for the health of Cardboard Shredder within Paper Industry
BACKGROUND OF THE INVENTION
The paper sector faces significant challenges in maintaining the optimal functioning of cardboard shredders, which are essential pieces of machinery in the production process. Many of the monitoring systems in use today are devoid of predictive and real-time information, which leads to unplanned downtime and increased maintenance costs. Timely maintenance and efficient health monitoring are hampered by the lack of a comprehensive solution that combines cloud computing, IoT, and AI-based analytics.
KR101873042B1 - The present invention relates to a feeder comprising: a feeder; Authentication means for authenticating the document shredding requester; Image generating means for generating an image of a shredding request document through the feeder when authentication of the document shredding requester is completed in the authenticating means; An intermediate stacker on which a document passed through the image generating means is stacked; Control means for displaying an image generated by the image generating means so as to be able to confirm the shredding request document and for executing the shredding routine and the discharging routine for the confirmed shredding request document; A crusher disposed below the intermediate stacking table to divide the input document; A collection box for receiving waste paper pieces cut from the crusher; An exit tray disposed below the intermediate tray and containing a document to be discharged without being broken by the control means; A roller device for conveying the document from the intermediate stack according to a shredding routine and a discharge routine of the control means; And a separator separating the document discharged by the roller device by the crusher and the discharging tray and selectively transporting the separated document, thereby preventing the document that is not to be discarded due to carelessness from being shredded, thereby enhancing convenience and security of the discarded document It is.
Research Gap: Machine Learning and Artificial Intelligence based recommendation system for health of Cardboard Shredder machine is the novelty of the system.
KR101899119B1 - The present invention relates to a document shredding apparatus provided with a document management device. The present invention comprises a document shredding device and a server managing documents to be shredded. The document shredding device includes: an authentication unit authenticating a document shredding requester; a display unit displaying a shredding process of a document cut via the document shredding device; an image generating unit generating an image of the document to be requested to be shredded if the authentication is finished by the authentication unit; and a communication unit. The server includes: a communication unit networked with the document shredding device; a document shredding management unit storing information on a document identification unit of a secured document to be printed, employee information of a requester for document shredding performed through an authentication unit of the document shredding device, and an image of a shredding request document generated by the image generation unit of the document shredding device and received; and a control unit comparatively determining whether document information obtained from the image generation unit by the document shredding requester is consistent with document information stored in a document shredding management unit and, if the information is consistent, displaying a document, loaded in a middle loader of the document shredding device, on a display unit provided in the document shredding device to determine whether a shredding routing is performed. Accordingly, the present invention prevents the document, which must not be shredded by carelessness, from being shredded and intensifies security of the document which is shredded.
Research Gap: Machine Learning and Artificial Intelligence based recommendation system for health of Cardboard Shredder machine 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.
This innovative technology uses cutting-edge IoT and cloud-based technologies to revolutionize the management and maintenance of cardboard shredders in the paper industry. The system provides an extensive assessment of the shredder's condition by utilizing a variety of sensors that record temperature, vibration, humidity, and pressure data in real time. The collected data is easily sent to a specialized cloud server, where Machine Learning algorithms carefully examine the data to generate AI-powered suggestions and critical alerts.
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.
To maximize the health monitoring and maintenance of cardboard shredders in the paper industry, TAIHCBSMote offers a creative and complete solution that leverages IoT and cloud-based technologies, coupled with AI and ML algorithms. Cardboard shredders are kept safe and in good working order by means of an intricately designed system that seamlessly combines multiple parts. All of the system's functions are coordinated by the BeagleBone Processor, which is the key component. Numerous sensors are attached to this CPU, including the pressure, humidity, temperature, and MEMS vibration sensors. Together, these sensors record information on the Cardboard Shredder's operational state in real-time. After that, the gathered data is sent to a cloud server that has been specially created for this innovation via the GSM modem. With the help of this cloud-based infrastructure, all data is safely kept in one central location.
The machine learning algorithms are employed by the system to process the data and produce AI-based recommendations and crucial alerts. In order to provide insightful information about the condition and functionality of the cardboard shredder, the algorithms examine patterns and trends in the sensor data. The analysis's findings are shown on the HMI (Human-Machine Interface) Display for user engagement and instant response. This makes it possible for operators who are on the scene to see the machine's health in real time and get prompt recommendations for repairs or maintenance. Simultaneously, a personalized web dashboard offers an intuitive interface that may be accessed via unique user accounts. This dashboard provides a thorough summary of the current state of the cardboard shredder together with historical analytics and AI-generated advice. Additionally, the system sends alarms and recommendations straight to the maintenance team's emails, expanding its outreach to them. The implementation of a proactive strategy guarantees that the maintenance team is instantly notified of any possible issues, hence facilitating the taking of preventive actions or prompt resolution of concerns.
BEST METHOD OF WORKING
1. The TAIHCBSMote is used to provide a comprehensive IoT-based solution that integrates various sensors and advanced analytics, guaranteeing real-time health monitoring, predictive maintenance, and AI-driven recommendations for Cardboard Shredders, ultimately optimizing operational efficiency and minimizing downtime. It is equipped with a BeagleBone Processor, GSM Modem, Temperature Sensor, MEMS Vibration Sensor, Humidity Sensor, Pressure Sensor, RTC, Buzzer, HMI Display, and Power Supply.
2. Both of the motes' BeagleBone Processors are responsible for coordinating the smooth integration of sensors, data processing, and analytics in the TAIHCBSMote. This processor is essential for delivering real-time insights and AI-driven recommendations for the best possible upkeep and monitoring of cardboard shredders in the paper industry.
3. The GSM modem that is built into TAIHCBSMote is used to enable smooth real-time data transmission from a variety of sensors to a customized cloud server, guaranteeing quick analysis and the creation of AI-based recommendations for the upkeep and health monitoring of cardboard shredders in the paper industry.
4. The TAIHCBSMote is equipped with temperature, pressure, humidity, and MEMS vibration sensors. These sensors work together to provide extensive real-time data that facilitates accurate monitoring of operational parameters and environmental conditions for cardboard shredders in the paper industry. This information is used to generate critical alerts for proactive maintenance and accurate AI-driven recommendations.
5. The HMI Display, which is interfaced with TAIHCBSMote, is used to provide real-time insights and AI-generated recommendations for the health of cardboard shredders in the paper industry. This allows for quick decision-making and preventative maintenance actions. The display serves as an intuitive interface for on-site operators.
ADVANTAGES OF THE INVENTION
1. With its comprehensive IoT-based solution that combines a variety of sensors and cutting-edge analytics, the TAIHCBSMote revolutionizes the paper sector. In the end, this maximizes operating efficiency and reduces downtime by providing real-time health monitoring, predictive maintenance, and AI-driven advice for cardboard shredders.
2. A key component of TAIHCBSMote's effective communication system is the GSM Modem. It permits real-time data from several sensors to be transmitted seamlessly to a customized cloud server, allowing for quick analysis and the creation of AI-based recommendations for the upkeep and health monitoring of cardboard shredders in the paper industry.
3. The TAIHCBSMote's integrated temperature, MEMS vibration, humidity, and pressure sensors all work together to offer thorough real-time data. This makes it possible to precisely monitor the operational parameters and environmental conditions of cardboard shredders in the paper industry, which helps to generate precise AI-driven recommendations and important alerts for preventive maintenance.
4. TAIHCBSMote's HMI Display serves as an easy-to-use interface for operators who are on-site. It provides in-the-moment information and AI-generated suggestions regarding the condition of cardboard shredders in the paper industry, enabling prompt decision-making and preventative maintenance.
, Claims:We Claim:
1. An AI-based recommendation system for the health of cardboard shredders within the paper industry, comprising: a TAIHCBSMote (100) configured with a BeagleBone Processor (200), GSM Modem (190), HMI Display (110), Buzzer (120), Power Supply (130), RTC (180), MEMS Vibration Sensor (170), Temperature Sensor (160), Humidity Sensor (150), and Pressure Sensor (140), to facilitate comprehensive monitoring and AI-driven recommendations for predictive maintenance and operational efficiency.
2. The system, as claimed in Claim 1, wherein the BeagleBone Processor (200) coordinates the collection and processing of data from the MEMS Vibration Sensor (170), Temperature Sensor (160), Humidity Sensor (150), and Pressure Sensor (140), and communicates this data via the GSM Modem (190) to a cloud-based server for further analysis.
3. The system, as claimed in Claim 1, wherein the MEMS Vibration Sensor (170), in conjunction with the Temperature Sensor (160), Humidity Sensor (150), and Pressure Sensor (140), detects variations indicative of potential maintenance needs or operational inefficiencies, and the collected data is utilized by Machine Learning algorithms to generate AI-powered suggestions.
4. The system, as claimed in Claim 1, wherein the HMI Display (110) provides real-time feedback and AI-based recommendations directly to operators, facilitating immediate and informed decision-making for the maintenance and operation of cardboard shredders.
5. The system, as claimed in Claim 1, wherein the RTC (180) timestamps data collected from sensors to ensure precise chronological logging of conditions, supporting accurate trend analysis and historical data review for ongoing system optimization.

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