AI-POWERED IOT PLATFORM FOR PREDICTIVE MAINTENANCE IN HYDRAULIC PRESSES USING LORA AND EDGE COMPUTING

Abstract

A system of ai-powered iot platform for predictive maintenance in hydraulic presses using lora and edge computing comprises PMHPTDC Mote (100) enables the acquisition of real-time data and transmission over long distances to a dedicated cloud server via a Raspberry Pi Board (110), LoRaWAN Module (120), liquid temperature (140), pressure (160) and level sensors (170), pressure sensor (150), buzzer (130) and power supply (180) for proper monitoring and predictive maintenance of hydraulic presses PMHPRGDC Mote has features like Raspberry Pi Processor Board, LoRaWAN Module, GSM modem, capacitive touch screen display, LED indicator and a rechargeable battery that enhances its functions as it gives the operators an opportunity to visualize the data, communicate remotely, and get system notifications to enable effective decision-making concerning industrial maintenance, which also saves time.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-powered iot platform for predictive maintenance in hydraulic presses using lora and edge computing.
BACKGROUND OF THE INVENTION
This new development introduces a sophisticated IoT platform for predictive maintenance of hydraulic presses relying on edge computing and long-range wireless communication. The system is integrated with sensors for temperature, pressure and liquid level controls as well as telemetry of such parameters to dedicated cloud server in real time. Equipment failure can be avoided due to the possibility of making accurate predictions and practical recommendations to prevent equipment failure through AI-based monitoring and machine learning-enabled analysis. The platform has a web dashboard and a local touch screen display allowing operators and authorized personnel to easily access the system. This solution improves operational productivity, decreases downtime and introduces a more environmentally friendly, more sustainable model for industrial maintenance activities.
This project is necessitated by the severe limitations that the upkeep of hydraulic presses as a important components in diverse industry. The conventional maintenance strategies are reactive or planned in nature, which brings about unplanned breakdowns, reduced operational efficiency and high expenses resulting from both excessive unplanned breakdowns and over-maintenance. Furthermore, because there is no real-time monitoring or predictive capabilities, like intention earlier on determining how assets fail in advance is impossible. This invention addresses these challenges by pGlobal Monitoring Systems powered by various software applications used in IoMT continuously monitor important parameters, predict failures and recommend appropriate actions. The implementation if this approach reduces time wasted on equipment's standby, increases their lifetime, lowers repair expenses, improves general reliability, and efficiency of operations.
CN206185028U: The utility model discloses an aluminum hull stamping die with automatically function of cooling down, which comprises a column, the hydraulic press is installed on the top of stand, the bottom of the oil pressure post of hydraulic press and the surface connections of last mould, the quantity of oil pressure post is four and just is the rectangular array on the upper surface of last mould, the below of going up the mould is provided with the lower mould, the leading flank of lower mould passes through the drain pipe and is connected with the water tank, the right flank of lower mould passes through the feed liquor pipe and is connected with the delivery outlet of first liquid pump, this aluminum hull stamping die with automatically function of cooling down adopts different cooling methods respectively to last mould and lower mould, the shower nozzle is sprayed to last mould, the heat is taken away in the water smoke evaporation, air flow rate is accelerated to the fan, the water smoke evaporation is accelerated, realize the rapid cooling mesh, make the coolant liquid circulate in setting up the helical pipe in the lower mould through first hydraulic pump, take away the heat of lower mould, realize the cooling mesh, this aluminum hull stamping die with automatically function of cooling down cooling is effectual, the cooling is fast, it is high -efficient stable.
RESEARCH GAP: AI-powered predictive maintenance with LoRaWAN and edge computing tailored specifically for hydraulic presses is the uniqueness of this system.
CN108571155B: The invention discloses a kind of vertical automatic Wall brick devices of construction, it include: pedestal, the top of pedestal is fixed with four the first hydraulic presses, one end of first hydraulic stem of four the first hydraulic presses is fixedly connected with four edges of shell bottom end respectively, open up fluted in the middle part of shell, the bottom plate of inside grooves offers first sliding groove.This programme is by being equipped with patch block mechanism, plate conveyor transports wall brick to inside grooves, when wall brick and contact sensor contact, the elongation of 5th electric telescopic rod, wall brick is fixed, the elongation of 4th electric telescopic rod, patch block mechanism is released, and wall brick is pushed away inside grooves by the elongation of the 6th electric telescopic rod;By being equipped with the first hydraulic press and the first electric telescopic rod, the height and lateral position of slide cartridge are adjusted;By being equipped with the components such as wall brick placing groove and plate conveyor, the movement of wall brick may be implemented;By being equipped with high-precision range sensor, slide cartridge and spacing between the walls can be detected.
RESEARCH GAP: AI-powered predictive maintenance with LoRaWAN and edge computing tailored specifically for hydraulic presses is the uniqueness of this 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.
The innovation serves as a cutting-edge predictive maintenance platform developed for hydraulic press operations. It starts with the essential collection of some operational parameters that are recorded by an array of sensors that monitor pressure, temperature, and liquid levels at all times. These sensors allow the monitoring at all times so that other than normal operation of the hydraulic press conditions are not required. The collected information is as well processed at the edge which helps in improving the time taking in responding to the system while reducing the need for a stable network. A long-range wireless communication is used to transmit the interpreted data to a remote-residing database. The incoming data receives evaluation from a server that has ML-enabled structure and AI implementation. The target of these models is trained to detect patterns and any other indicators that may signal an impending fault with the equipment, anytime before the failure occurs. Recommendations on maintenance are generated by the AI system and are sent to the appropriate people including strategies on how to resolve other identified issues.
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.
The innovation serves as a cutting-edge predictive maintenance platform developed for hydraulic press operations. It starts with the essential collection of some operational parameters that are recorded by an array of sensors that monitor pressure, temperature, and liquid levels at all times. These sensors allow the monitoring at all times so that other than normal operation of the hydraulic press conditions are not required. The collected information is as well processed at the edge which helps in improving the time taking in responding to the system while reducing the need for a stable network. A long-range wireless communication is used to transmit the interpreted data to a remote-residing database. The incoming data receives evaluation from a server that has ML-enabled structure and AI implementation. The target of these models is trained to detect patterns and any other indicators that may signal an impending fault with the equipment, anytime before the failure occurs. Recommendations on maintenance are generated by the AI system and are sent to the appropriate people including strategies on how to resolve other identified issues.
The platform has two levels of access for data visualization. Web operators and the maintenance team are able to view the system using a web-based dashboard that can be accessed through any device connected to the network. Besides, there is a touch screen that allows equipment operators who are physically present to view similar information through a different interface There is a list of telemetry parameters, predictive models, and expert recommendations which are easy to understand and practically addressed in the graphical design. At the same time this innovation promotes operational reliability by taking care of some foreseen problems so that they do not worsen, thus avoiding unscheduled downtimes and maintenance expenditures. Through the same techniques, it also improves most decision-making processes since it provides data that will assist the industries ensure that they use their resources properly while enhancing the effectiveness and life span of hydraulic presses.
BEST METHOD OF WORKING
PMHPTDC Mote enables the acquisition of real-time data and transmission over long distances to a dedicated cloud server via a Raspberry Pi Board, LoRaWAN Module, liquid temperature, pressure and level sensors, pressure sensor, buzzer and power supply for proper monitoring and predictive maintenance of hydraulic presses.
PMHPRGDC Mote has features like Raspberry Pi Processor Board, LoRaWAN Module, GSM modem, capacitive touch screen display, LED indicator and a rechargeable battery that enhances its functions as it gives the operators an opportunity to visualize the data, communicate remotely, and get system notifications to enable effective decision-making concerning industrial maintenance, which also saves time.
LoRaWAN Module that is a part of both PMHPTDC Mote and PMHPRGDC Mote is responsible for providing long-range wireless communication suitable for data transfer in the industrialized world.
PMHPRGDC Mote features a Capacitive Touch Screen Display that allows the operators to interact with the device, browse for real-time data and predictive maintenance as well as recommendations ensuring that they have enough knowledge of the situation and can therefore manage operations concerning hydraulic press effectively.
The device also comprises a GSM Modem embedded into the PMHPRGDC Mote which provides remote access to operational data through GSM networks, hence, managers having the right credentials can supervise the machinery and forecast its status through the cloud server which is greatly advantageous as it offers ease of accessibility and operational flexibility.
ADVANTAGES OF THE INVENTION
1. The hydraulic press system comprises of the liquid temperature sensor, pressure sensor and liquid level sensor which are installed that gives accurate real-time information on the operation of the hydraulic press to detect any irregularities at once.
2. The system further allows machine learning prediction models to be integrated via Raspberry Pi with LoRaWAN modules allowing timely maintenance and reducing the chances of unexpected downtimes.
3. This model also allows the LoRaWAN module to facilitate long distances reliable communication from the field devices to the cloud server which is appropriate for industrial use cases with long distance applications.
4. The use of web dashboard and capacitive touch screen display makes it more convenient for the operators and authorized persons to be able to access the required data onsite or from a distance hence bettering the decision-making process.
5. The maintenance cost by maintenance activities is minimized as more issues are being detected early by AI enabled analytics that are integrated with the custom cloud server hence preventing over maintenance activities and enhancing the owned equipment life span.
6. The system is made more mobile and flexible as it uses a GSM modem and rechargeable battery providing options for rapid deployments in different industrial environments as well as providing for scaling across a number of machines or locations.
, Claims:1. A system of ai-powered iot platform for predictive maintenance in hydraulic presses using lora and edge computing comprises PMHPTDC Mote (100) enables the acquisition of real-time data and transmission over long distances to a dedicated cloud server via a Raspberry Pi Board (110), LoRaWAN Module (120), liquid temperature (140), pressure (160) and level sensors (170), pressure sensor (150), buzzer (130) and power supply (180) for proper monitoring and predictive maintenance of hydraulic presses.
2. The system as claimed in claim 1, wherein PMHPRGDC Mote has features like Raspberry Pi Processor Board, LoRaWAN Module, GSM modem, capacitive touch screen display, LED indicator and a rechargeable battery that enhances its functions as it gives the operators an opportunity to visualize the data, communicate remotely, and get system notifications to enable effective decision-making concerning industrial maintenance, which also saves time.
3. The system as claimed in claim 1, wherein LoRaWAN Module that is a part of both PMHPTDC Mote and PMHPRGDC Mote is responsible for providing long-range wireless communication suitable for data transfer in the industrialized world.
4. The system as claimed in claim 1, wherein PMHPRGDC Mote features a Capacitive Touch Screen Display that allows the operators to interact with the device, browse for real-time data and predictive maintenance as well as recommendations ensuring that they have enough knowledge of the situation and can therefore manage operations concerning hydraulic press effectively.
5. The system as claimed in claim 1, wherein the device also comprises a GSM Modem embedded into the PMHPRGDC Mote which provides remote access to operational data through GSM networks, hence, managers having the right credentials can supervise the machinery and forecast its status through the cloud server which is greatly advantageous as it offers ease of accessibility and operational flexibility.

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