LPWAN-BASED TEMPERATURE MONITORING FOR PLASTIC CNC ROUTER MACHINE IN PLASTIC COMPONENTS MANUFACTURING WITH DFT ANALYSIS

Abstract

ABSTRACT LPWAN-Based Temperature Monitoring System for Plastic CNC Router Machines in Plastic Components Manufacturing Utilizing DFT Analysis This invention introduces an LPWAN-enabled IoT system for real-time temperature monitoring of plastic CNC router machines in the plastic components manufacturing industry. The system integrates a TLTM_PCRNode with a TI MSP430 MCU, LoRa Module, and mlx90614 Sensor for precise local temperature monitoring, and an RLTM_PCRNode featuring ESP8266 WiFi, HMI Display, and cloud connectivity for remote operations. Leveraging IoT and DFT analysis, the system ensures long-range, low-power wireless communication, accurate temperature monitoring, and actionable insights via a customized web dashboard, enhancing efficiency, safety, and decision-making in manufacturing environments.

Specification

Description:FIELD OF THE INVENTION
This invention relates to LPWAN-Based Temperature Monitoring for Plastic CNC Router Machine in Plastic Components Manufacturing with DFT Analysis
BACKGROUND OF THE INVENTION
Effectively monitoring and controlling CNC router temperature is a major difficulty for the plastic components production industry. Lack of an all-inclusive and up-to-date temperature monitoring system creates barriers to operational effectiveness, which may lead to product failures, increased downtime, and resource waste. The current methods are often not able to provide timely temperature variation alerts and remote accessibility.
US6061865A - This invention relates to a dust collector assembly for a toolhead assembly of a machine tool. The system comprises a base unit, a bracket pivotally supported on the base unit along a first axis, and a tool unit pivotally supported on the bracket along a second axis. A first duct member is mounted on the base unit, featuring an inlet and an outlet connected to a vacuum source. A second duct member, mounted on the bracket, communicates with the first duct through a slip ring connection along the first axis. A third duct member, also mounted on the bracket, has an inlet near the tool unit and communicates with the second duct through another slip ring connection along the second axis. This arrangement ensures efficient dust collection during tool operation.
Research Gap: The novelty lies in integrating wireless temperature monitoring using LoRa technology with IoT capabilities, enhancing the operational efficiency of Plastic CNC Router Machines in industrial environments.
US6390900B1 - This invention pertains to a tool designed for high-speed spindles of CNC machine tools, enabling the finishing of side edges of flat workpieces positioned directly on the machine tool's support surface. The tool comprises a shank portion mountable on the spindle and a head section featuring an annular side surface. The annular surface is designed to engage with the side edge of the workpiece and includes a profile corresponding to the edge's shape. Abrasive particles bonded to the surface facilitate precise finishing.
Research Gap: The system introduces wireless temperature monitoring using LoRa technology integrated with IoT, specifically tailored for Plastic CNC Router Machines operating in industrial environments.
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.
This state-of-the-art temperature monitoring system for plastic CNC routers offers a stable and practical way to monitor production lines. Advanced sensor nodes enable real-time data collection and transmission via a low-power wide-area network, enabling smooth communication. Using a predetermined algorithm, the customized cloud server examines this data to create insightful trends charts and, when necessary, sends out critical alerts. Temperature fluctuations can be remotely monitored and addressed by operators thanks to the results, which are simultaneously available via a web dashboard and displayed on a local HMI for instantaneous on-site awareness.
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.
With this invention, LPWAN, cloud computing, data analysis algorithms, and sophisticated hardware components are all combined to provide a complete solution for temperature monitoring in plastic CNC router machines. The invention uses a clearly defined procedure that makes use of the TLTM_PCRNode and RLTM_PCRNode, each of which is outfitted with particular parts to guarantee efficient data gathering, transfer, and analysis. The TI MSP430 MCU Board, LoRa Module, mlx90614 Sensor, RTC Module, and Power Supply are all used by the TLTM_PCRNode. The TI MSP430 MCU Board processes the temperature data that the mlx90614 Sensor receives from the Plastic CNC Router Machine. The RTC Module and the data are both timestamped. By enabling the transfer of gathered data via a Low Power Wide Area Network (LPWAN), the LoRa Module guarantees low-power, long-range connectivity. The TLTM_PCRNode can run continuously thanks to the power supply. The TI MSP430 MCU Board, LoRa Module, ESP8266 WiFi Module, HMI Display, and Power Supply are utilized by the RLTM_PCRNode, in contrast.
The RLTM_PCRNode uses the LoRa Module to record temperature data, just like the TLTM_PCRNode. To enable communication via a local wireless network, the data is further transferred in this instance utilizing the ESP8266 WiFi Module. The Power Supply guarantees continuous operation, and the HMI Display is integrated to display real-time information locally. Both nodes send their transmitted data to a customized cloud server created especially for this invention. Here, an algorithm that has been predefined is used to analyze the data. Timestamped temperature readings are taken into consideration by the algorithm, which makes it possible to create trending data visualizations. It also recognizes crucial thresholds and, if needed, initiates notifications. The RLTM_PCRNode's HMI Display then receives the analysis's findings, which include trending charts and crucial alerts, giving on-site operators real-time feedback. Concurrently, the information can be accessed via a customized online dashboard, enabling remote observation by signing into individual operator accounts.
BEST METHOD OF WORKING
1. Temperature-sensitive components are integrated, real-time data is processed, and information is transmitted via LoRa-based LPWAN technology via the TLTM_PCRNode, which is outfitted with a TI MSP430 MCU Board, Lora Module, mlx90614 Sensor, RTC Module, and Power Supply. This allows for thorough and effective temperature monitoring for plastic CNC router machines in the production of plastic components.
2. Real-time temperature monitoring of plastic CNC router machines is made easier with the RLTM_PCRNode, which is outfitted with a TI MSP430 MCU Board, Lora Module, ESP8266 WiFi Module, HMI Display, and Power Supply. This allows for remote accessibility through a customized web dashboard and gives on-site operators instant insights.
3. Both of the motes have an integrated LoRa Module that enables low-power, long-range communication for the TLTM_PCRNode and RLTM_PCRNode. This ensures smooth temperature data transmission in the LPWAN-based temperature monitoring system for plastic CNC router machines, improving connectivity and efficiency of operation.
4. Accurate temperature data acquisition from plastic CNC router machines is made possible by the mlx90614 Sensor, which is integrated into the TLTM_PCRNode. This allows for accurate monitoring and analysis in the LPWAN-based temperature monitoring system via both TLTM_PCRNode and RLTM_PCRNode.
5. The built-in ESP8266 WiFi Module in the RLTM_PCRNode allows local wireless communication, makes it easier for temperature data from plastic CNC router machines to be transmitted to the cloud server, and gives on-site operators real-time access to the LPWAN-based temperature monitoring system.
6. The RLTM_PCRNode-based HMI Display serves as a real-time visual interface for the LPWAN-based temperature monitoring system for plastic CNC router machines. It gives on-site operators instantaneous insights into temperature variations and critical alerts, improving situational awareness and promoting proactive decision-making.
ADVANTAGES OF THE INVENTION
1. The integration of temperature-sensitive components, real-time data processing, and information transmission via LoRa-based LPWAN technology are all made possible by the TLTM_PCRNode, which is a key component of this breakthrough. This makes it possible for plastic CNC router machines to monitor temperatures thoroughly and effectively while producing plastic components.
2. The RLTM_PCRNode, which combines sensor data, WiFi and LoRa modules, and an HMI display, makes a major contribution to this breakthrough. This makes it easier to monitor the temperature of plastic CNC router machines in real time, providing operators on the spot with instantaneous insights and allowing for remote accessible via a customized web dashboard.
3. For both the TLTM_PCRNode and the RLTM_PCRNode, long-range, low-power communication is made possible by the LoRa Module. This improves connection and operating efficiency by guaranteeing the smooth transfer of temperature data in the LPWAN-based temperature monitoring system for plastic CNC router machines.
4. For accurate temperature data collecting from the plastic CNC router machines, the mlx90614 Sensor is essential. Through both TLTM_PCRNode and RLTM_PCRNode, it permits precise monitoring and analysis in the LPWAN-based temperature monitoring system.
5. The ESP8266 WiFi Module is essential to the RLTM_PCRNode's ability to enable local wireless connectivity. It makes it easier for plastic CNC router machines to transmit temperature data to the cloud server, giving on-site operators real-time access to the LPWAN-based temperature monitoring system.
, Claims:We Claim:
1. An LPWAN-Based Temperature Monitoring System for Plastic CNC Router Machines in Plastic Components Manufacturing Utilizing DFT Analysis, comprises a TLTM_PCRNode equipped with a TI MSP430 MCU Board, LoRa Module, mlx90614 Sensor, RTC Module, and Power Supply, and an RLTM_PCRNode equipped with a TI MSP430 MCU Board, LoRa Module, ESP8266 WiFi Module, HMI Display, and Power Supply, enabling seamless wireless communication, real-time temperature monitoring, and IoT-based analytics to enhance the operational efficiency and safety of plastic CNC router machines.
2. The system, as claimed in Claim 1, wherein the LoRa Module integrated into both TLTM_PCRNode and RLTM_PCRNode facilitates long-range, low-power wireless communication, ensuring efficient data exchange and connectivity within the LPWAN network.
3. The system, as claimed in Claim 1, wherein the mlx90614 Sensor integrated into the TLTM_PCRNode provides accurate real-time temperature readings from the CNC router machine, enabling precise monitoring and control to prevent overheating and operational failures.
4. The system, as claimed in Claim 1, wherein the ESP8266 WiFi Module in the RLTM_PCRNode facilitates cloud connectivity, enabling remote access and analysis of temperature data via a customized web dashboard for improved operational decision-making.
5. The system, as claimed in Claim 1, wherein the HMI Display integrated into the RLTM_PCRNode serves as a real-time local interface, providing on-site operators with immediate insights into temperature trends, critical alerts, and situational data.
6. The system, as claimed in Claim 1, wherein IoT-based cloud integration enables advanced analytics, trend visualization, and critical alert generation through a predefined algorithm, enhancing remote monitoring and operational efficiency in plastic components manufacturing.

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