LORA AND XBEE RF-BASED HEALTH MONITORING SYSTEM FOR CHEMICAL BONDING MACHINES WITH AI-DRIVEN PREDICTIVE MAINTENANCE

Abstract

A lora and xbee rf-based health monitoring system for chemical bonding machines with ai-driven predictive maintenance comprises HMSLT Node consists of an Arduino Tiny Machine Learning Kit, a LoRaWAN Module, a temperature sensor, a current sensor, a vibration sensor, a buzzer, and a power supply which permits the collection of data in real time and the wireless transmission of parameters concerning the health of the machine over a central cloud server, thus improving monitoring and preventing failure agents for chemical bonding machines the HMSLR Node, which includes a Cortex-A710 Board, a GSM Modem, a display consisting of touch-sensitive buttons, a buzzer, and a power supply guarantees high resolution monitoring and the capability of local alerting, which allows the machine operators to view the condition of the machines and deal with critical problems of the machine in real time.

Specification

Description:FIELD OF THE INVENTION
This invention relates to lora and xbee rf-based health monitoring system for chemical bonding machines with ai-driven predictive maintenance.
BACKGROUND OF THE INVENTION
This is an intelligent solution aimed at instant health check-up and forethought repair of the chemical bonding machines. Obtainable with high-end functionality, it is capable of sensing heat, electric current flow and vibration and secure long-range wireless data transfer at the same time. Such nodes receive, process, and send the information through the broadband to the centralised store over a Compu cloud server. The artificial intelligence cloud server is engaged to analyse the data and assist in the early anticipation of abnormalities and maintenance action to be taken. Relevant information is withheld with the help of a web dashboard or touch screens so that operators and other authenticated stakeholders are able to see the current state of the machines anytime. By reducing needs for emergency and planned outages, providing innovative scheduling of repair tasks and allowing for data driven management concepts related to maintenance, the system increases effective productivity. For the automation and supervision of the processes in an industrial environment, the system can be easily and safely enhanced.
Due to operating stresses, wear and tear or environmental conditions, industrial machines like chemical bonding machines are at risk of unexpected failures, which causes costly downtimes, low productivity, and safety risks. Prevalent maintenance strategies of reactive or periodic maintenance are ineffective and do not guarantee that the problems will be satisfactorily fixed. This invention fills the gap in the market for a reliable approach for predicting maintenance through monitoring machines' health while every aspect of the occurrence is being analyzed and informed in advance in case there's diagnosis to make. By enabling predictive insights and reducing unexpected failures, this system maintains operational reliability, improves overall productivity and maximizes maintenance windows, hence, it is important for industries that are cost-effective while pursuing efficiency.
CN209288583U: The utility model discloses a kind of combined metal pipe bonding machines, including workbench, riser and support rod are respectively arranged at the top of the workbench, the top two sides distribution of the workbench is provided with column and first reducing motors, one upper side of column, which runs through, spring lever, one end of the spring lever is fixed with clamping piece, the top of the clamping piece, which is run through, pull rod, one end of the pull rod is fixed with grip block, the outer surface of the pull rod is socketed with spring, the device is additionally provided with blower, purifying box, activated carbon filter layer and exhaust column, at work, staff starts blower.Blower in purifying box to being evacuated, since air pressure relationship flue dust is drawn into purifying box by exhaust column, activated carbon filter layer is filtered absorption to flue dust, it is discharged after cleaned from the outlet air end of blower, to reach a clarifying smoke purpose, avoiding flue dust influences working environment and threatens to the health of staff.
RESEARCH GAP: LoRa and XBee RF-based health monitoring and AI-driven predictive maintenance specifically tailored for chemical bonding machines is the novelty of the system.
CN111216214B: The invention relates to the technical field of edge bonding machines, in particular to a soft forming automatic edge bonding machine which comprises a plane leveling mechanism, a groove milling device, a groove cutting and belt storing device, a gluing and cutting mechanism, a plane belt pressing mechanism, a groove belt pressing mechanism, an edge cutting mechanism, an edge trimming device and an edge scraping mechanism which are sequentially arranged along the processing sequence of a plate. The edge sealing machine automatically processes the plate into the forming grooves, carries out edge pasting, edge cutting, trimming, chamfering and edge scraping on the side face of the plate with the forming grooves, integrally seals the plate, improves the efficiency and quality of edge sealing of the plate, reduces labor intensity and labor cost, and can seal the edge of the plate with the special-shaped forming grooves due to the fact that the edge sealing belt carries out groove cutting in advance, so that the application range of the edge sealing machine is enlarged, and the practicability is good.
RESEARCH GAP: LoRa and XBee RF-based health monitoring and AI-driven predictive maintenance specifically tailored for chemical bonding 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.
This novel idea functions as a complex system that combines real-time supervision and preventive care of the industrial apparatus. It starts with a set of local nodes with constant sensors on machine temperature, current and vibration. These nodes receive raw data from the machine and send it through radiofrequency communication. Because the data is wirelessly sendt, it means there is connectivity without wires which is effective in places where wired solutions are not feasible or suitable. Moreover, every local node has an alarm system, hence any operator can be alerted of severe machine failures for urgent remedial operations.
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 novel idea functions as a complex system that combines real-time supervision and preventive care of the industrial apparatus. It starts with a set of local nodes with constant sensors on machine temperature, current and vibration. These nodes receive raw data from the machine and send it through radiofrequency communication. Because the data is wirelessly sendt, it means there is connectivity without wires which is effective in places where wired solutions are not feasible or suitable. Moreover, every local node has an alarm system, hence any operator can be alerted of severe machine failures for urgent remedial operations.
The data gathered from the local nodes is received and forwarded to the central server located at a unique cloud service. This sub structure of the system is very important because additional machine learning procedures will be employed to interpret incoming data attachments. The cloud infrastructure manages both past events and current data streams and uses them in identifying deviations, patterns, and forecasting machine breakdowns. Thanks to this ability, maintenance can be planned rather than being reactive which leads to unnecessary downtime and surprises when equipment fails. Information and knowledge that has been processed is accessed through the system consisting of user friendly web dashboard and local displays with touch interface. Such interfaces give operators and authorized personnel timely and relevant information like the condition of a machine at any specific time, status of its upkeep, trends in its performance, etc. The system further provides predictive maintenance and other decision options allowing the operator to use informed predictions. With automated real-time tracking, remote command and control, and integrated intelligent analysis, this solution utilizes recent advancements to resolve the challenges of controlling the industrial machines and increasing efficiency while lowering costs of operations at the same time.
BEST METHOD OF WORKING
The HMSLT Node consists of an Arduino Tiny Machine Learning Kit, a LoRaWAN Module, a temperature sensor, a current sensor, a vibration sensor, a buzzer, and a power supply which permits the collection of data in real time and the wireless transmission of parameters concerning the health of the machine over a central cloud server, thus improving monitoring and preventing failure agents for chemical bonding machines.
The HMSLR Node, which includes a Cortex-A710 Board, a GSM Modem, a display consisting of touch-sensitive buttons, a buzzer, and a power supply guarantees high resolution monitoring and the capability of local alerting, which allows the machine operators to view the condition of the machines and deal with critical problems of the machine in real time.
The HMSLRG Node which includes an Arduino Tiny Machine Learning Kit, a GSM Modem, a buzzer, and a power supply extends global data transmission and cloud integration for the purpose of centralised monitoring enhancing the availability of remote access as well as enabling machine health analytic connectivity.
The LoRaWAN Module, which has been installed in the HMSLT Node, facilitates efficient long distance wireless communication for the purpose of machine data transfer to the cloud such that monitoring in huge scale industrial settings is possible.
Incorporating a Capacitive Touch Display situated within a HMSLR Node, the display provides an engaging interface for viewing information in real time and improving a human-machine's ability to focus on the health of the machine and be given relevant recommendations thus improving operators interacting with the system in an environment that is more situationally aware and efficient in its operations.
This is produced by a GSM modem which is featured in the HMSLR and HMSLRG nodes, which ensures robust cellular coverage and transfers data consistently over to the bespoke cloud server which enhances the system's potential for deployment in a wide array of industrial environments.
ADVANTAGES OF THE INVENTION
1. Pacifying techniques such as The use of sensors (temperature, current, and vibration) ensure that the machine's status is monitored continuously and that deviations from the norm are noticed immediately.
2. The LoRaWAN module ensures good wireless connection over a wide area, even in harsh industrial setups, facilitating improved data communication.
3. The data is processed by the Arduino Tiny Machine Learning Kit, hence cutting the latency and allowing the buzzer alarm to issue local alerts upon detection of serious events.
4. Accumulating analytics from the HMSLR Node along with the Cortex-A710 board helps in forecasting and anticipating issues reducing random breakdowns and fine-tuning the maintenance plans.
5. Global System for Mobile Communications enables global communication and facilitates interoperability with the cloud server ensuring data mining and storage at a centralized connection point.
6. Capacitive touch displays enable quick access to real-time data and actionable insights on the site by the operators and authorized personnel in an engaging and fun manner.
FIELD OF THE INVENTION
This invention relates to lora and xbee rf-based health monitoring system for chemical bonding machines with ai-driven predictive maintenance.
BACKGROUND OF THE INVENTION
This is an intelligent solution aimed at instant health check-up and forethought repair of the chemical bonding machines. Obtainable with high-end functionality, it is capable of sensing heat, electric current flow and vibration and secure long-range wireless data transfer at the same time. Such nodes receive, process, and send the information through the broadband to the centralised store over a Compu cloud server. The artificial intelligence cloud server is engaged to analyse the data and assist in the early anticipation of abnormalities and maintenance action to be taken. Relevant information is withheld with the help of a web dashboard or touch screens so that operators and other authenticated stakeholders are able to see the current state of the machines anytime. By reducing needs for emergency and planned outages, providing innovative scheduling of repair tasks and allowing for data driven management concepts related to maintenance, the system increases effective productivity. For the automation and supervision of the processes in an industrial environment, the system can be easily and safely enhanced.
Due to operating stresses, wear and tear or environmental conditions, industrial machines like chemical bonding machines are at risk of unexpected failures, which causes costly downtimes, low productivity, and safety risks. Prevalent maintenance strategies of reactive or periodic maintenance are ineffective and do not guarantee that the problems will be satisfactorily fixed. This invention fills the gap in the market for a reliable approach for predicting maintenance through monitoring machines' health while every aspect of the occurrence is being analyzed and informed in advance in case there's diagnosis to make. By enabling predictive insights and reducing unexpected failures, this system maintains operational reliability, improves overall productivity and maximizes maintenance windows, hence, it is important for industries that are cost-effective while pursuing efficiency.
CN209288583U: The utility model discloses a kind of combined metal pipe bonding machines, including workbench, riser and support rod are respectively arranged at the top of the workbench, the top two sides distribution of the workbench is provided with column and first reducing motors, one upper side of column, which runs through, spring lever, one end of the spring lever is fixed with clamping piece, the top of the clamping piece, which is run through, pull rod, one end of the pull rod is fixed with grip block, the outer surface of the pull rod is socketed with spring, the device is additionally provided with blower, purifying box, activated carbon filter layer and exhaust column, at work, staff starts blower.Blower in purifying box to being evacuated, since air pressure relationship flue dust is drawn into purifying box by exhaust column, activated carbon filter layer is filtered absorption to flue dust, it is discharged after cleaned from the outlet air end of blower, to reach a clarifying smoke purpose, avoiding flue dust influences working environment and threatens to the health of staff.
RESEARCH GAP: LoRa and XBee RF-based health monitoring and AI-driven predictive maintenance specifically tailored for chemical bonding machines is the novelty of the system.
CN111216214B: The invention relates to the technical field of edge bonding machines, in particular to a soft forming automatic edge bonding machine which comprises a plane leveling mechanism, a groove milling device, a groove cutting and belt storing device, a gluing and cutting mechanism, a plane belt pressing mechanism, a groove belt pressing mechanism, an edge cutting mechanism, an edge trimming device and an edge scraping mechanism which are sequentially arranged along the processing sequence of a plate. The edge sealing machine automatically processes the plate into the forming grooves, carries out edge pasting, edge cutting, trimming, chamfering and edge scraping on the side face of the plate with the forming grooves, integrally seals the plate, improves the efficiency and quality of edge sealing of the plate, reduces labor intensity and labor cost, and can seal the edge of the plate with the special-shaped forming grooves due to the fact that the edge sealing belt carries out groove cutting in advance, so that the application range of the edge sealing machine is enlarged, and the practicability is good.
RESEARCH GAP: LoRa and XBee RF-based health monitoring and AI-driven predictive maintenance specifically tailored for chemical bonding 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.
This novel idea functions as a complex system that combines real-time supervision and preventive care of the industrial apparatus. It starts with a set of local nodes with constant sensors on machine temperature, current and vibration. These nodes receive raw data from the machine and send it through radiofrequency communication. Because the data is wirelessly sendt, it means there is connectivity without wires which is effective in places where wired solutions are not feasible or suitable. Moreover, every local node has an alarm system, hence any operator can be alerted of severe machine failures for urgent remedial operations.
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 novel idea functions as a complex system that combines real-time supervision and preventive care of the industrial apparatus. It starts with a set of local nodes with constant sensors on machine temperature, current and vibration. These nodes receive raw data from the machine and send it through radiofrequency communication. Because the data is wirelessly sendt, it means there is connectivity without wires which is effective in places where wired solutions are not feasible or suitable. Moreover, every local node has an alarm system, hence any operator can be alerted of severe machine failures for urgent remedial operations.
The data gathered from the local nodes is received and forwarded to the central server located at a unique cloud service. This sub structure of the system is very important because additional machine learning procedures will be employed to interpret incoming data attachments. The cloud infrastructure manages both past events and current data streams and uses them in identifying deviations, patterns, and forecasting machine breakdowns. Thanks to this ability, maintenance can be planned rather than being reactive which leads to unnecessary downtime and surprises when equipment fails. Information and knowledge that has been processed is accessed through the system consisting of user friendly web dashboard and local displays with touch interface. Such interfaces give operators and authorized personnel timely and relevant information like the condition of a machine at any specific time, status of its upkeep, trends in its performance, etc. The system further provides predictive maintenance and other decision options allowing the operator to use informed predictions. With automated real-time tracking, remote command and control, and integrated intelligent analysis, this solution utilizes recent advancements to resolve the challenges of controlling the industrial machines and increasing efficiency while lowering costs of operations at the same time.
BEST METHOD OF WORKING
The HMSLT Node consists of an Arduino Tiny Machine Learning Kit, a LoRaWAN Module, a temperature sensor, a current sensor, a vibration sensor, a buzzer, and a power supply which permits the collection of data in real time and the wireless transmission of parameters concerning the health of the machine over a central cloud server, thus improving monitoring and preventing failure agents for chemical bonding machines.
The HMSLR Node, which includes a Cortex-A710 Board, a GSM Modem, a display consisting of touch-sensitive buttons, a buzzer, and a power supply guarantees high resolution monitoring and the capability of local alerting, which allows the machine operators to view the condition of the machines and deal with critical problems of the machine in real time.
The HMSLRG Node which includes an Arduino Tiny Machine Learning Kit, a GSM Modem, a buzzer, and a power supply extends global data transmission and cloud integration for the purpose of centralised monitoring enhancing the availability of remote access as well as enabling machine health analytic connectivity.
The LoRaWAN Module, which has been installed in the HMSLT Node, facilitates efficient long distance wireless communication for the purpose of machine data transfer to the cloud such that monitoring in huge scale industrial settings is possible.
Incorporating a Capacitive Touch Display situated within a HMSLR Node, the display provides an engaging interface for viewing information in real time and improving a human-machine's ability to focus on the health of the machine and be given relevant recommendations thus improving operators interacting with the system in an environment that is more situationally aware and efficient in its operations.
This is produced by a GSM modem which is featured in the HMSLR and HMSLRG nodes, which ensures robust cellular coverage and transfers data consistently over to the bespoke cloud server which enhances the system's potential for deployment in a wide array of industrial environments.
ADVANTAGES OF THE INVENTION
1. Pacifying techniques such as The use of sensors (temperature, current, and vibration) ensure that the machine's status is monitored continuously and that deviations from the norm are noticed immediately.
2. The LoRaWAN module ensures good wireless connection over a wide area, even in harsh industrial setups, facilitating improved data communication.
3. The data is processed by the Arduino Tiny Machine Learning Kit, hence cutting the latency and allowing the buzzer alarm to issue local alerts upon detection of serious events.
4. Accumulating analytics from the HMSLR Node along with the Cortex-A710 board helps in forecasting and anticipating issues reducing random breakdowns and fine-tuning the maintenance plans.
5. Global System for Mobile Communications enables global communication and facilitates interoperability with the cloud server ensuring data mining and storage at a centralized connection point.
6. Capacitive touch displays enable quick access to real-time data and actionable insights on the site by the operators and authorized personnel in an engaging and fun manner.
, Claims:1. A lora and xbee rf-based health monitoring system for chemical bonding machines with ai-driven predictive maintenance comprises HMSLT Node consists of an Arduino Tiny Machine Learning Kit, a LoRaWAN Module, a temperature sensor, a current sensor, a vibration sensor, a buzzer, and a power supply which permits the collection of data in real time and the wireless transmission of parameters concerning the health of the machine over a central cloud server, thus improving monitoring and preventing failure agents for chemical bonding machines.
2. The system as claimed in claim 1, wherein the HMSLR Node, which includes a Cortex-A710 Board, a GSM Modem, a display consisting of touch-sensitive buttons, a buzzer, and a power supply guarantees high resolution monitoring and the capability of local alerting, which allows the machine operators to view the condition of the machines and deal with critical problems of the machine in real time.
3. The system as claimed in claim 1, wherein the HMSLRG Node which includes an Arduino Tiny Machine Learning Kit, a GSM Modem, a buzzer, and a power supply extends global data transmission and cloud integration for the purpose of centralised monitoring enhancing the availability of remote access as well as enabling machine health analytic connectivity.
4. The system as claimed in claim 1, wherein the LoRaWAN Module, which has been installed in the HMSLT Node, facilitates efficient long distance wireless communication for the purpose of machine data transfer to the cloud such that monitoring in huge scale industrial settings is possible.
5. The system as claimed in claim 1, wherein incorporating a Capacitive Touch Display situated within a HMSLR Node, the display provides an engaging interface for viewing information in real time and improving a human-machine's ability to focus on the health of the machine and be given relevant recommendations thus improving operators interacting with the system in an environment that is more situationally aware and efficient in its operations.
6. The system as claimed in claim 1, wherein this is produced by a GSM modem which is featured in the HMSLR and HMSLRG nodes, which ensures robust cellular coverage and transfers data consistently over to the bespoke cloud server which enhances the system's potential for deployment in a wide array of industrial environments.

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