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IOT-ENABLED HYDRAULIC OIL HEALTH MONITORING FOR MULTI-STATION COLD CHAMBER DIE-CASTING MACHINE IN APPLIANCE MANUFACTURING WITH CLOUD INTEGRATION

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IOT-ENABLED HYDRAULIC OIL HEALTH MONITORING FOR MULTI-STATION COLD CHAMBER DIE-CASTING MACHINE IN APPLIANCE MANUFACTURING WITH CLOUD INTEGRATION

ORDINARY APPLICATION

Published

date

Filed on 25 November 2024

Abstract

An IoT-Enabled Hydraulic Oil Health Monitoring for Multi-Station Cold Chamber Die-Casting Machine in Appliance Manufacturing with Cloud Integration An IoT-enabled hydraulic oil health monitoring system for Multi-Station Cold Chamber Die-Casting Machines in appliance manufacturing, comprising a network of sensors including a NAS Sensor (16), Liquid Velocity Sensor (17), and Temperature Sensor (18) to monitor viscosity, flow rate, and temperature of hydraulic oil. The system integrates a Raspberry Pi Processor (19) for data aggregation, processing, and transmission, and a GSM Modem (11) for real-time communication with a customized cloud server. The HMI Display (12) provides a user interface for real-time monitoring, while the RTC (13) ensures precise time-based logging. An Indication unit (14) alerts operators to anomalies, enabling proactive maintenance. The system enhances operational efficiency and reduces downtime through cloud integration and real-time data analysis, revolutionizing hydraulic oil health management in the appliance manufacturing industry.

Patent Information

Application ID202411091574
Invention FieldBIO-MEDICAL ENGINEERING
Date of Application25/11/2024
Publication Number49/2024

Inventors

NameAddressCountryNationality
DR. SHAILESH KUMAR SINGHJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia
Dr. Sachin Kumar SinghJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia
Dr. Lalit BhallaJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia
Navdeep SinghJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia
Dr. (Ar.) Atul Kumar SinglaJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia
Dr. Vishal SharmaJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIAIndiaIndia

Specification

Description:FIELD OF THE INVENTION
This invention relates to IoT-Enabled Hydraulic Oil Health Monitoring for Multi-Station Cold Chamber Die-Casting Machine in Appliance Manufacturing with Cloud Integration.
BACKGROUND OF THE INVENTION
The problem of efficiently tracking and maintaining hydraulic oil quality in multi-station cold chamber die-casting machines used in the appliance manufacturing industry is addressed by this invention. In the past, the lack of real-time monitoring solutions has led to a number of issues, such as unplanned malfunctions, reduced productivity, and increased maintenance costs because of issues resulting from contaminated or degraded hydraulic oil.
US10081054B2 - A die-casting process method for die-cast molding of a metal in a semi-solid state, wherein a semi-solid state die-casting machine is used as a processing device and a pulper is used as a device for preparing and delivering a slurry in a semi-solid state; the method comprises the steps: spraying a mold release agent and mold clamping; melting the raw material and keeping the temperature; adding a metal modificator into the molten raw material to prepare the slurry in a semi-solid state; transferring the slurry in a semi-solid state into a mold by the pulper; die-casting, opening the mold and exporting a die-cast; removing the sprue to obtain the final die-cast. In the process method, a metal modificator is added to the liquid metal raw material during the preparation of the slurry in a semi-solid state so as to generate more crystal nuclei, so that die-cast products have better mechanical properties; by way of die-casting the slurry in a semi-solid state, during mold stripping the die-cast is low in temperature and small in deformation quantity, and the best shapes and surface smoothness of the product can be guaranteed; and the die-cast is compact interiorly with producing air holes, and the best interior structure and mechanical properties of the die-cast product are guaranteed.
Research Gap: A IoT and cloud integrated solution for hydraulic oil condition monitoring for Multi-Station Cold Chamber Die-Casting Machine in Appliance Manufacturing is the novelty of the system.
CN104259418B - The invention discloses a kind of pressure casting method for semi-solid-state metal die cast, described pressure casting method uses semisolid pressure casting machine as process equipment, adopts pulper as the equipment preparing semi solid slurry and feeding; In the raw metal of liquid state, add metal alterant when preparing semi solid slurry produce more nucleus to make it, thus make die casting product have preferably mechanical performance. The present invention adopts the die casting mode of semi solid slurry, in press casting procedure die casting interiors of products fine and close, can not pore be produced, ensure that internal structure and the mechanical performance of die casting product the best, ensure that the quality of product; Adopt semi solid slurry die casting, compared to traditional high speed and high pressure injection moulding technique, die casting temperature during its depanning is lower, and deformation quantity is minimum, does not need to carry out complicated surface treatment to die casting, can ensure shape and the profile pattern of product the best.
Research Gap: A IoT and cloud integrated solution for hydraulic oil condition monitoring for Multi-Station Cold Chamber Die-Casting Machine in Appliance Manufacturing 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.
The advanced system continuously monitors and analyzes the state of the hydraulic oil in the multi-station cold chamber die-casting machines used in the appliance manufacturing industry. Through the use of a network of carefully positioned sensors throughout the machinery, critical parameters including viscosity, temperature, and flow rate are continuously monitored. The manufacturing workflow's total operating efficiency is increased, downtime is decreased, and proactive maintenance is made possible by this configuration.
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.
The revolutionary IhOTD_HMSCMote system revolutionizes the way hydraulic oil health is monitored and managed in multi-station cold chamber die-casting machines. It includes a network of sensors, including as the temperature, liquid velocity, and NAS sensors, which are placed strategically inside the machinery to track important variables pertaining to the condition of the hydraulic oil and machine performance. These sensors collect data on the temperature, viscosity, and flow rate of the hydraulic fluid continuously. A Raspberry Pi processor processes this data. Acting as the central hub, it allows data collection, analysis, and transmission to the cloud server for additional processing. Integrating with a GSM modem creates a dependable link to the customized cloud server, guaranteeing smooth real-time data transfer. Once the data reaches the cloud server, it is analyzed using preset algorithms created especially for the purpose of monitoring the status of hydraulic oil.
These algorithms assess the collected data in order to identify patterns, irregularities, and possible problems such as hydraulic oil contamination or deterioration. The results of the analysis are displayed via a number of platforms, such as an HMI Display in the production plant and an easy-to-use web dashboard that can be accessed from a distance with an account login. Through trending data charts and real-time machine performance updates, operators can keep an eye on the health of their hydraulic oil. When critical events occur, including large departures from standard operating parameters or approaching mechanical problems, the system sounds an alert to quickly alert operators and appropriate authorities. These alerts are distributed by email notifications among other channels, guaranteeing a prompt and effective reaction to any possible problems.
BEST METHOD OF WORKING
1. By using data processing capabilities and cloud-based analysis, the IhOTD_HMSCMotewhich is outfitted with a Raspberry Pi processor, GSM modem, NAS sensor, liquid velocity sensor, temperature sensor, indication, HMI display, RTC, and power supply, monitors and manages the hydraulic oil health in Multi-Station Cold Chamber Die-Casting Machines, enabling proactive maintenance and improving operational efficiency in the appliance manufacturing industry.
2. IhOTD_HMSCMote's Raspberry Pi Processor is used for data aggregation, processing, and transmission. This allows for the management and monitoring of hydraulic oil health in real-time in Multi-Station Cold Chamber Die-Casting Machines utilized in the appliance manufacturing industry.
3. IhOTD_HMSCMote also has a GSM modem that is used to enable dependable communication between the system and the customized cloud server. This ensures that real-time data is transmitted seamlessly for efficient management and monitoring of hydraulic oil health in Multi-Station Cold Chamber Die-Casting Machines in Appliance Manufacturing.
4. The temperature, viscosity, and flow rate of hydraulic oil are all monitored by the integrated NAS, Liquid Velocity, and Temperature sensors in IhOTD_HMSCMote. This real-time data is required for the thorough analysis and management of hydraulic oil health in Multi-Station Cold Chamber Die-Casting Machines within Appliance Manufacturing.
5. The user interface of the Multi-Station Cold Chamber Die-Casting Machines in Appliance Manufacturing is facilitated by the HMI Display, which is interfaced on IhOTD_HMSCMote. It gives operators real-time insights into the health of the hydraulic oil and machine performance, allowing them to make proactive decisions and operate the machines more efficiently.
ADVANTAGES OF THE INVENTION
1. By combining sensors, data processing, and cloud-based analysis, the IhOTD_HMSCMote revolutionizes the monitoring and management of hydraulic oil health in Multi-Station Cold Chamber Die-Casting Machines. In the field of appliance manufacturing, this connection promotes operational efficiency and enables preventive maintenance.
2. Reliable connection between the IhOTD_HMSCMote system and the customized cloud server is made possible in large part by the GSM modem. In the field of appliance manufacturing, this connectivity guarantees the smooth transfer of real-time data, improving the efficacy of hydraulic oil health monitoring and management in multi-station cold chamber die-casting machines.
3. To monitor vital indicators including oil viscosity, flow rate, and temperature, the NAS Sensor, Liquid Velocity Sensor, and Temperature Sensor collaborate. When combined, they offer real-time data that is crucial for the thorough examination and maintenance of hydraulic oil health in multi-station cold chamber die-casting machines used in the production of appliances.
4. The HMI Display serves as a user interface, providing operators with up-to-date information on the condition of hydraulic oil and the operation of their machinery. In the context of appliance manufacturing, this interface makes proactive decision-making possible and makes it easier for Multi-Station Cold Chamber Die-Casting Machines to operate effectively.
, Claims:We Claim:
1. An IoT-enabled hydraulic oil health monitoring system for Multi-Station Cold Chamber Die-Casting Machines in appliance manufacturing, comprising IhOTD_HMSCMote (10) as the central monitoring system, a GSM Modem (11) for seamless communication with a customized cloud server, an HMI Display (12) providing a real-time user interface, an RTC (13) for time-based data logging, an Indication unit (14) for alerting operators of anomalies, a Power Supply (15) ensuring uninterrupted system operation, a NAS Sensor (16), a Liquid Velocity Sensor (17), and a Temperature Sensor (18) to monitor hydraulic oil parameters including viscosity, flow rate, and temperature, and a Raspberry Pi Processor (19) for data aggregation, processing, and transmission, wherein the system enables proactive maintenance, enhances operational efficiency, and facilitates remote monitoring through cloud integration and real-time data analysis.
2. The system as claimed in Claim 1, wherein the Raspberry Pi Processor (19) aggregates, processes, and transmits real-time data related to hydraulic oil parameters for seamless monitoring and analysis.
3. The system as claimed in Claim 1, wherein the GSM Modem (11) facilitates reliable communication with the customized cloud server, enabling real-time data transfer and remote monitoring.
4. The system as claimed in Claim 1, wherein the NAS Sensor (16), Liquid Velocity Sensor (17), and Temperature Sensor (18) collectively monitor critical hydraulic oil parameters, ensuring accurate real-time data collection for comprehensive oil health assessment.
5. The system as claimed in Claim 1, wherein the HMI Display (12) provides operators with real-time insights into hydraulic oil health and machine performance, facilitating proactive decision-making.
6. The system as claimed in Claim 1, wherein the RTC (13) ensures accurate time-based data logging to enhance trend analysis and maintenance scheduling.
7. The system as claimed in Claim 1, wherein the Indication unit (14) alerts operators to deviations from standard operating parameters, enabling timely interventions to prevent system failures.

Documents

NameDate
202411091574-COMPLETE SPECIFICATION [25-11-2024(online)].pdf25/11/2024
202411091574-DECLARATION OF INVENTORSHIP (FORM 5) [25-11-2024(online)].pdf25/11/2024
202411091574-DRAWINGS [25-11-2024(online)].pdf25/11/2024
202411091574-EDUCATIONAL INSTITUTION(S) [25-11-2024(online)].pdf25/11/2024
202411091574-EVIDENCE FOR REGISTRATION UNDER SSI [25-11-2024(online)].pdf25/11/2024
202411091574-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [25-11-2024(online)].pdf25/11/2024
202411091574-FORM 1 [25-11-2024(online)].pdf25/11/2024
202411091574-FORM FOR SMALL ENTITY(FORM-28) [25-11-2024(online)].pdf25/11/2024
202411091574-FORM-9 [25-11-2024(online)].pdf25/11/2024
202411091574-POWER OF AUTHORITY [25-11-2024(online)].pdf25/11/2024
202411091574-REQUEST FOR EARLY PUBLICATION(FORM-9) [25-11-2024(online)].pdf25/11/2024

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