CONDITION MONITORING OF VERTICAL CARTONING MACHINES IN PACKAGING INDUSTRY THROUGH CLOUD TECHNOLOGY AND ALERT INNOVATION

Abstract

This invention introduces a condition monitoring system for Vertical Cartoning Machines in the packaging industry, utilizing cloud technology and IoT-enabled sensors for real-time data collection and analysis. Equipped with a Raspberry Pi Processor, External GPU Hat, Temperature Sensor, Vibration Sensor, Pressure Sensor, MPU Sensor, HMI Display, and Power Supply, the system captures critical metrics, including motion, temperature, pressure, and vibrations. Data is sent to a cloud server for analysis using machine learning algorithms, which identify trends and potential issues, providing proactive maintenance insights. The system enhances operational efficiency by offering remote monitoring and timely alerts for optimal machine performance.

Specification

Description:FIELD OF THE INVENTION
This invention relates to Condition Monitoring of Vertical Cartoning Machines in Packaging Industry through Cloud Technology and Alert Innovation.
BACKGROUND OF THE INVENTION
This innovative technology seamlessly integrates cloud and IoT technologies to revolutionize the packaging industry's approach to monitoring and maintaining vertical cartoning machines. It makes use of an intricate network of carefully placed sensors on the machines to gather vital information about motion, temperature, pressure, and vibrations. The collected data is then sent to a specialized cloud server, where it is instantly analyzed using a pre-programmed machine learning algorithm. With the help of this analysis, the system is able to identify trends, abnormalities, and potential problems. As a result, operators and authorized staff receive notifications.
The packaging sector is presently facing significant difficulties in maintaining Vertical Cartoning Machines' optimal performance and reducing downtime. Many times, the current monitoring systems are not sophisticated enough to provide real-time insights into important machine metrics. As a result, a reactive maintenance strategy is used, which can have a negative impact on production efficiency as well as increase downtime and repair costs. The lack of a holistic solution that combines cloud computing, machine intelligence, and modern sensors makes it more difficult for the sector to proactively manage possible problems before they get out of hand.
US5487257A - A conveyor conveys boxes that are empty and boxes that are filled with articles in a horizontal plane past an article handling machine where articles of a first type are removed from some boxes and articles of a second type are inserted in empty boxes. The machine runs concurrently with the box conveyor in one direction so boxes from which the articles of the first type are conveyed beyond the machine and empty boxes in which articles of the second type are inserted are also conveyed from the machine in the same direction. The article handling machine has heads that are constrained to orbit in a generally circular path and the heads have grippers on them which are controllable to grip and release groups of articles at consecutive working stations along the orbital path of the heads. A Cloud and IoT Equipped technology to regular monitoring of Industrial Vertical Cartoning Machines is the novelty of the system.
CN102887241B - The invention relates to an automatic costume packaging machine. The automatic costume packaging machine is characterized by comprising a rack, a conveyer belt system, a costume clamping and conveying mechanism, an automatic bag filling mechanism, a clamping release mechanism, a bag opening folding mechanism and a bag opening sealing mechanism. The automatic costume packaging machine has the advantages as follows: the folded costumes enter to a clamping station of the automatic costume packaging machine by a conveyer belt and then enter to a bag filling station and a clamping release station sequentially after being clamped by the costume clamping and conveying mechanism; after packaging bags are sleeved to the bag filling station, the costume clamping and conveying mechanism is matched with the clamping release mechanism to place the costumes with the packaging bags on the conveyer belt of the clamping release station and simultaneously to convey the costumes to a packaging bag opening sealing station to seal openings of the packaging bags, thereby realizing the automatic packaging of the costumes. As no manual hand packaging is needed, the labor intensity of the workers is low, the packaging efficiency is high and the labor is saved; the size after packaging is consistent and the appearance effect is good; and meanwhile, the automatic costume packaging machine can be matched with an automatic costume folding machine in a seamless joint, thereby being beneficial to the streamlined production and improving the level of automation in costume manufacturing. A Cloud and IoT Equipped technology to regular monitoring of Industrial Vertical Cartoning Machines 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 sophisticated integration of advanced sensors, cloud technology, and machine learning, the CMVCM_CMMote, which is equipped with a Raspberry Pi processor, an external GPU hat, vibration, temperature, pressure, HMI display, MPU sensor, and power supply, provides real-time condition monitoring of Vertical Cartoning Machines, facilitating proactive maintenance and optimizing operational efficiency.
To facilitate the smooth integration of sensor data, cloud computing, and machine learning and to enable real-time analysis and effective monitoring of Vertical Cartoning Machines in the packaging industry, the Raspberry Pi Processor embedded in CMVCM_CMMote is utilized.
This innovation uses an External GPU Hat to increase the computational power of CMVCM_CMMote. This ensures that complex algorithms and tasks related to real-time condition monitoring of Vertical Cartoning Machines in the packaging industry can be handled with robust processing capabilities.
Together, the Temperature, Vibration, Pressure, HMI Display, MPU, and Power Supply sensors are directly connected to the Raspberry Pi Processor, External GPU Hat, Vibration, Temperature, Pressure, and Power Supply sensors. This creates a comprehensive sensor array in the CMVCM_CMMote, which records vital information about machine vibrations, temperature changes, pressure fluctuations, and motion dynamics, respectively. This allows for the comprehensive and real-time condition monitoring of Vertical Cartoning Machines in the packaging sector.
The CMVCM_CMMote Power Supply is utilized to guarantee the consistent and dependable functioning of the entire system. It offers a steady supply of power to the Raspberry Pi Processor, sensors, and additional components, thereby enabling unhindered real-time condition monitoring of Vertical Cartoning Machines in the packaging sector.
A well-coordinated system of hardware and software components created especially for accurate monitoring of Vertical Cartoning Machines in the Packaging Industry powers the CMVCM_CMMote innovation. The Raspberry Pi Processor, which acts as the system's central processing unit and coordinates data collection and processing, is its fundamental component. By increasing processing capability, the External GPU Hat makes it possible to handle intricate algorithms and condition monitoring-related duties more effectively. The Vertical Cartoning Machines are equipped with a network of carefully positioned sensors, such as the Temperature Sensor, which records temperature variations, the Pressure Sensor, which monitors pressure fluctuations, the Vibration Sensor, which records subtle vibrations, and the MPU Sensor, which provides detailed motion and orientation data. Together, these sensors provide a comprehensive method for determining the machine's state, allowing for an in-depth analysis of numerous factors that are essential for predictive maintenance.
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.
A well-coordinated system of hardware and software components created especially for accurate monitoring of Vertical Cartoning Machines in the Packaging Industry powers the CMVCM_CMMote innovation. The Raspberry Pi Processor, which acts as the system's central processing unit and coordinates data collection and processing, is its fundamental component. By increasing processing capability, the External GPU Hat makes it possible to handle intricate algorithms and condition monitoring-related duties more effectively. The Vertical Cartoning Machines are equipped with a network of carefully positioned sensors, such as the Temperature Sensor, which records temperature variations, the Pressure Sensor, which monitors pressure fluctuations, the Vibration Sensor, which records subtle vibrations, and the MPU Sensor, which provides detailed motion and orientation data. Together, these sensors provide a comprehensive method for determining the machine's state, allowing for an in-depth analysis of numerous factors that are essential for predictive maintenance.
To transfer the gathered data to a dedicated cloud server designed for this invention, the CMVCM_CMMote uses cloud technology. A preset machine learning algorithm assumes control once the data is in the cloud and begins examining it to find trends, abnormalities, and possible problems. An anticipatory system that can identify and resolve potential issues before they worsen is formed by the real-time insights obtained from this analysis. An interface system with two interfaces is the result of this monitoring procedure. Important information is shown quickly via an HMI display, which offers operators an intuitive interface. In addition, an advanced examination of trending data, machine parameters, and analytics is provided by a web dashboard designed specifically for authorized staff. This dual-interface approach promotes prompt decision-making and effective maintenance methods by guaranteeing that pertinent information is accessible to both machine operators and higher authorities. The alerts provided by the system are an essential tool for alerting authorities and operators to possible problems or deviances from optimal performance. This allows for prompt intervention and lowers maintenance costs and downtime overall.
BEST METHOD OF WORKING
A condition monitoring system for Vertical Cartoning Machines, comprising a Raspberry Pi Processor for centralized data collection and real-time analysis, integrated with cloud technology and machine learning for proactive maintenance in the packaging industry.
A condition monitoring system with an External GPU Hat to enhance computational power, enabling efficient handling of complex algorithms for real-time monitoring tasks.
A condition monitoring system including a Temperature Sensor to monitor temperature variations, providing critical data for predictive maintenance.
A condition monitoring system incorporating a Vibration Sensor to detect machine vibrations, allowing early detection of potential malfunctions in Vertical Cartoning Machines.
A condition monitoring system with a Pressure Sensor that records pressure fluctuations, contributing to comprehensive condition monitoring.
A condition monitoring system with an MPU Sensor to provide data on motion and orientation, adding depth to the monitoring of machine dynamics.
A condition monitoring system with an HMI Display serving as a user interface, presenting real-time data and alerts for immediate operator response.
A condition monitoring system including a Power Supply to maintain continuous operation of the system, supporting the real-time monitoring and analysis of Vertical Cartoning Machines.
ADVANTAGES OF THE INVENTION
1. The CMVCM_CMMote revolutionizes the packaging sector by providing real-time Vertical Cartoning Machine condition monitoring. This is made possible by a complex integration of machine learning, cloud computing, and sophisticated sensors that maximize operational effectiveness and enable proactive maintenance.
2. The Raspberry Pi Processor serves as the main processing unit in the CMVCM_CMMote system, coordinating the smooth fusion of sensor data, cloud computing, and machine learning. Real-time analysis and effective monitoring of Vertical Cartoning Machines in the packaging business are made possible by this orchestration.
3. The External GPU Hat adds to the CMVCM_CMMote's computing power, guaranteeing strong processing capabilities. This improvement makes it possible to manage intricate algorithms and duties pertaining to the packaging industry's real-time condition monitoring of vertical cartoning machines.
4. The Vibration Sensor, Temperature Sensor, Pressure Sensor, and MPU Sensor are assembled into a complete sensor array inside CMVCM_CMMote. Important data on machine vibrations, temperature changes, pressure fluctuations, and motion dynamics are captured by this array, in that order. The packaging industry's Vertical Cartoning Machines may now have comprehensive and real-time condition monitoring thanks to the combined data.
, C , Claims:1. A condition monitoring system for Vertical Cartoning Machines, comprising CMVCM_CMMote (10), which is equipped with a Raspberry Pi processor (17), an external GPU hat (16), vibration, temperature (12), pressure (15), HMI display, MPU sensor (13), and power suppl (11)y, provides real-time condition monitoring of Vertical Cartoning Machines, facilitating proactive maintenance and optimizing operational efficiency.
2. The condition monitoring system as claimed in Claim 1, wherein an External GPU Hat enhances computational power, enabling efficient handling of complex algorithms for real-time monitoring tasks.
3. The condition monitoring system as claimed in Claim 1, further comprising a Temperature Sensor to monitor temperature variations, providing critical data for predictive maintenance.
4. The condition monitoring system as claimed in Claim 1, incorporating a Vibration Sensor to detect machine vibrations, allowing early detection of potential malfunctions in Vertical Cartoning Machines.
5. The condition monitoring system as claimed in Claim 1, including a Pressure Sensor that records pressure fluctuations, contributing to comprehensive condition monitoring.
6. The condition monitoring system as claimed in Claim 1, wherein an MPU Sensor provides data on motion and orientation, adding depth to the monitoring of machine dynamics.
7. The condition monitoring system as claimed in Claim 1, with an HMI Display as a user interface, presenting real-time data and alerts for immediate operator response.
8. The condition monitoring system as claimed in Claim 1, further including a Power Supply to maintain continuous operation of the system, supporting the real-time monitoring and analysis of Vertical Cartoning Machines.

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