LPWAN BASED CONDITION MONITORING OF MULTI-STATION COLD CHAMBER DIE-CASTING MACHINE IN APPLIANCE MANUFACTURING

Abstract

A lpwan based condition monitoring of multi-station cold chamber die-casting machine in appliance manufacturing comprises LPTD_CMMSMote (100), which is equipped with TI AM69 Processor Board (100G), LoRa RF Module (100A), 3 axis Vibration Sensor (100F), Touch Temperature Sensor (100E), Pressure Sensor (100D), RTC Module (100C), and Power Supply (100B), is used to facilitate real-time monitoring of key operational parameters in multi-station cold chamber die-casting machines, such as vibrations, temperature, and pressure to enable wireless transmission of sensor data from the LPTD_CMMSMote to a cloud server for real-time analysis, the LPRD_CMMSMote, which is outfitted with a TI AM69 Processor Board, LoRa RF Module, TFT Display, ESP01 Wifi Board, and Power Supply, is utilized, this allows for the remote monitoring and management of multi-station cold chamber die-casting machines in the appliance manufacturing industry.

Specification

Description:FIELD OF THE INVENTION
This invention relates to lpwan based condition monitoring of multi-station cold chamber die-casting machine in appliance manufacturing.
BACKGROUND OF THE INVENTION
This creative approach uses wireless connectivity, cloud-based data analytics, and state-of-the-art sensor technologies to enable real-time monitoring of multi-station cold chamber die-casting machines in appliance manufacture. This development increases equipment reliability overall, lowers downtime, and improves operational efficiency in industrial manufacturing settings.
This invention addresses a problem in the field of industrial manufacturing, specifically with regard to multi-station cold chamber die-casting machines used in the production of appliances. In the past, it has been challenging to keep an eye on and maintain optimal operating conditions for these equipment, which has often led to inefficiencies, unplanned downtime, and increased maintenance costs.
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 LPWAN based wireless solution for condition monitoring of Multi-Station Cold Chamber Die-Casting Machine in Appliance Manufacturing is the novelty of the system.
CA2594516C: A method for the heat treatment of a casting produced by high pressure die casting, that may exhibit blister forming porosity in the as-cast condition, of an age-hardenable aluminium alloy, includes solution treating the casting by heating the casting to and within a temperature range enabling solute elements to be taken into solid solution. The casting then is cooled to terminate the solution treatment by quenching the casting to a temperature below 100~C. The cooled casting is held in a temperature range enabling natural and/or artificial ageing. The solution treatment is conducted to achieve a level of solute element solution enabling age-hardening without expansion of pores in the casting causing unacceptable blistering of the casting.
RESEARCH GAP: A LPWAN based wireless solution for condition monitoring of 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.
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.
Designed for remote monitoring and administration of multi-station cold chamber die-casting machines in appliance production, the LPWAN-based Condition Monitoring system is an inventive combination of sensor technologies, wireless communication, and cloud-based analytics. The LPTD_CMMSMote and LPRD_CMMSMote, two specialized devices with different roles in the monitoring system, are at the center of it all. The LPTD_CMMSMote is equipped with a variety of sensors, such as a touch temperature sensor, pressure sensor, and 3-axis vibration sensor, which are arranged in a strategic manner to gather essential operational data from the cold chamber die-casting machine. These sensors provide real-time insights into the health and performance of the machine by continuously monitoring important characteristics including pressure changes, temperature swings, and vibrations. On the other hand, the LPRD_CMMSMote serves as a gateway device that sends the information gathered from the LPTD_CMMSMote to the cloud server. With the help of a LoRa RF Module and TI AM69 Processor Board, this device creates a strong wireless communication link over a long distance in order to relay sensor data effectively and dependably. Its integration of an ESP01 WiFi board and TFT display also allows for local data visualization and networking choices.
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.
Designed for remote monitoring and administration of multi-station cold chamber die-casting machines in appliance production, the LPWAN-based Condition Monitoring system is an inventive combination of sensor technologies, wireless communication, and cloud-based analytics. The LPTD_CMMSMote and LPRD_CMMSMote, two specialized devices with different roles in the monitoring system, are at the center of it all. The LPTD_CMMSMote is equipped with a variety of sensors, such as a touch temperature sensor, pressure sensor, and 3-axis vibration sensor, which are arranged in a strategic manner to gather essential operational data from the cold chamber die-casting machine. These sensors provide real-time insights into the health and performance of the machine by continuously monitoring important characteristics including pressure changes, temperature swings, and vibrations. On the other hand, the LPRD_CMMSMote serves as a gateway device that sends the information gathered from the LPTD_CMMSMote to the cloud server. With the help of a LoRa RF Module and TI AM69 Processor Board, this device creates a strong wireless communication link over a long distance in order to relay sensor data effectively and dependably. Its integration of an ESP01 WiFi board and TFT display also allows for local data visualization and networking choices.
A customized cloud server created especially for this application receives and processes the transmitted data from the LPTD_CMMSMote and LPRD_CMMSMote. Here, the multi-station cold chamber die-casting machine's state and health are evaluated through the use of complex algorithms that evaluate the incoming data streams. The system is capable of identifying anomalies, forecasting possible malfunctions, and optimizing maintenance plans through the comparison of real-time sensor readings with established thresholds and patterns. Operators can obtain this useful data via an easy-to-use web dashboard by providing their login credentials. The dashboard offers a thorough overview of the machine's performance, along with crucial alarms that indicate any deviations from normal operation and trending data charts that show past patterns. This gives operators the ability to remotely check on the state of the machine, see possible problems before they get worse, and take preventative action to save downtime and maximize output.
BEST METHOD OF WORKING
In order to ensure optimal performance and enable predictive maintenance, the LPTD_CMMSMote, which is equipped with TI AM69 Processor Board, LoRa RF Module, 3 axis Vibration Sensor, Touch Temperature Sensor, Pressure Sensor, RTC Module, and Power Supply, is used to facilitate real-time monitoring of key operational parameters in multi-station cold chamber die-casting machines, such as vibrations, temperature, and pressure.
To enable wireless transmission of sensor data from the LPTD_CMMSMote to a cloud server for real-time analysis, the LPRD_CMMSMote, which is outfitted with a TI AM69 Processor Board, LoRa RF Module, TFT Display, ESP01 Wifi Board, and Power Supply, is utilized. This allows for the remote monitoring and management of multi-station cold chamber die-casting machines in the appliance manufacturing industry.
The LoRa RF Module, which is built into both of the motes, allows real-time data transmission for remote monitoring and analysis of multi-station cold chamber die-casting machines in appliance manufacturing. It does this by enabling long-range wireless communication between the sensor nodes (LPTD_CMMSMote and LPRD_CMMSMote) and the cloud server.
Comprehensive monitoring of critical operational parameters, such as vibrations, temperature swings, and pressure variations in multi-station cold chamber die-casting machines, is made possible by the integrated 3-axis vibration sensor, touch temperature sensor, and pressure sensor in the LPTD_CMMSMote. This is necessary for identifying anomalies and guaranteeing peak performance.
Local visualization of real-time data and important alerts is provided by the TFT Display interfaced on LPRD_CMMSMote, giving operators instant insight into the state and functionality of multi-station cold chamber die-casting machines in appliance manufacturing.
To improve flexibility and accessibility in data transmission, the ESP01 WiFi Board, which is integrated into the LPRD_CMMSMote, is used to allow additional connectivity options for remote monitoring and control of multi-station cold chamber die-casting machines over WiFi networks.
ADVANTAGES OF THE INVENTION
1. As a specialized sensor node within the invention, the LPTD_CMMSMote is important to the functioning of multi-station cold chamber die-casting machines because it allows real-time monitoring of vital operating parameters like temperature, pressure, and vibrations. Predictive maintenance plans and sustaining peak performance levels depend heavily on this functionality.
2. An essential part of the invention, the LPRD_CMMSMote functions as a gateway device, allowing sensor data from the LPTD_CMMSMote to be wirelessly transmitted to a cloud server. Real-time analysis is made possible by this smooth transmission technique, which makes it possible to remotely monitor and control multi-station cold chamber die-casting machines in appliance manufacturing environments.
3. The system allows long-range wireless communication between the cloud server and the sensor nodes (LPTD_CMMSMote and LPRD_CMMSMote), thanks to the LoRa RF Module in its center. This feature improves operational efficiency in the appliance manufacturing industry by facilitating the timely transfer of data for remote monitoring and analysis of multi-station cold chamber die-casting machines.
4. Integrated with cutting-edge sensors such as the Touch Temperature Sensor, 3-axis Vibration Sensor, and Pressure Sensor, the LPTD_CMMSMote provides thorough monitoring of vital operational parameters in multi-station cold chamber die-casting machines, including vibrations, temperature swings, and pressure variations. Ensuring optimal performance levels and discovering anomalies require this kind of thorough monitoring.
5. The ESP01 WiFi Board's integration with the LPRD_CMMSMote increases connectivity options for WiFi network-based remote monitoring and control of multi-station cold chamber die-casting machines. By improving accessibility and flexibility in data transfer, this extra link further maximizes the monitoring system's efficiency.
, Claims:1. A lpwan based condition monitoring of multi-station cold chamber die-casting machine in appliance manufacturing comprises LPTD_CMMSMote (100), which is equipped with TI AM69 Processor Board (100G), LoRa RF Module (100A), 3 axis Vibration Sensor (100F), Touch Temperature Sensor (100E), Pressure Sensor (100D), RTC Module (100C), and Power Supply (100B), is used to facilitate real-time monitoring of key operational parameters in multi-station cold chamber die-casting machines, such as vibrations, temperature, and pressure.
2. The machine as claimed in claim 1, wherein to enable wireless transmission of sensor data from the LPTD_CMMSMote to a cloud server for real-time analysis, the LPRD_CMMSMote, which is outfitted with a TI AM69 Processor Board, LoRa RF Module, TFT Display, ESP01 Wifi Board, and Power Supply, is utilized, this allows for the remote monitoring and management of multi-station cold chamber die-casting machines in the appliance manufacturing industry.
3. The machine as claimed in claim 1, wherein the LoRa RF Module, which is built into both of the motes, allows real-time data transmission for remote monitoring and analysis of multi-station cold chamber die-casting machines in appliance manufacturing, it does this by enabling long-range wireless communication between the sensor nodes (LPTD_CMMSMote and LPRD_CMMSMote) and the cloud server.
4. The machine as claimed in claim 1, wherein comprehensive monitoring of critical operational parameters, such as vibrations, temperature swings, and pressure variations in multi-station cold chamber die-casting machines, is made possible by the integrated 3-axis vibration sensor, touch temperature sensor, and pressure sensor in the LPTD_CMMSMote, this is necessary for identifying anomalies and guaranteeing peak performance.
5. The machine as claimed in claim 1, wherein local visualization of real-time data and important alerts is provided by the TFT Display interfaced on LPRD_CMMSMote, giving operators instant insight into the state and functionality of multi-station cold chamber die-casting machines in appliance manufacturing.
6. The machine as claimed in claim 1, wherein to improve flexibility and accessibility in data transmission, the ESP01 WiFi Board, which is integrated into the LPRD_CMMSMote, is used to allow additional connectivity options for remote monitoring and control of multi-station cold chamber die-casting machines over WiFi networks.

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