COMPREHENSIVE CONDITION MONITORING OF MOVING-BRIDGE MILLING MACHINE USING CC3000 RF IN AEROSPACE MANUFACTURING

Abstract

A Comprehensive Condition Monitoring of Moving-Bridge Milling Machine Using CC3000 RF in Aerospace Manufacturing A Comprehensive Condition Monitoring System for Moving-Bridge Milling Machines in aerospace manufacturing integrates a TCMBM_CRFNode with a TI AM69 Processor, CC3000 RF, DS18B20 Sensor, MEMS Vibration Sensor, and Pressure Sensor for real-time data collection and analysis. The system also includes an RCMBM_CRFNode featuring a TI AM69 Processor, CC3000 RF, Nuttyfi WiFi Module, and HMI Display for remote monitoring and seamless communication with a cloud-based infrastructure. This innovation ensures precise condition monitoring, improved decision-making, and enhanced operational efficiency in aerospace manufacturing through advanced IoT integration and wireless communication.

Specification

Description:FIELD OF THE INVENTION
This invention relates to a Comprehensive Condition Monitoring of Moving-Bridge Milling Machine Using CC3000 RF in Aerospace Manufacturing
BACKGROUND OF THE INVENTION
One of the biggest challenges facing the aerospace manufacturing industry is effectively tracking the condition of moving-bridge milling machines, which are essential parts of the production process. Many of the monitoring systems in use today don't take the all-encompassing approach required to record a variety of operating characteristics, such as pressure, vibration, and temperature in real-time.
JP2017080870A - This multiple spindle milling machine includes a machine frame, a workpiece clamping device, an axial slider assembly disposed within the machine frame, and a spindle bearing assembly. The axial slider assembly is capable of linearly moving a clamped workpiece along three controllable linear axes (X, Y, and Z). The machine's work spindles are mounted on a turret that is rotatable about a turret shaft, with equal spacing from the turret shaft. The spindle axes are parallel to each other and to the turret shaft.
Research Gap: A Wireless Solution with CC3000 RF and IoT integration for condition monitoring of Moving-Bridge Milling Machines introduces an advanced wireless system for real-time condition monitoring in industrial environments, enhancing operational efficiency and reducing downtime through IoT-enabled predictive maintenance.
US10239131B2 - The invention describes a machine tool, specifically a multi-spindle milling machine, comprising a machine frame, a workpiece clamping device, an axis slide assembly arranged on the machine frame, and a spindle carrier assembly with at least two tool-carrying work spindles. The axis slide assembly enables linear movement of the clamped workpiece along three controllable linear axes (X, Y, and Z). The work spindles are mounted on a turret that can rotate about a turret axis, with the spindle axes aligned parallel to one another and the turret axis.
Research Gap: A Wireless Solution with CC3000 RF and IoT integration for condition monitoring of Moving-Bridge Milling Machines leverages IoT technology and RF communication for continuous performance monitoring in industrial settings, offering significant advancements in machine reliability and operational data analysis.
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 novel method of Comprehensive Condition Monitoring of Moving-Bridge Milling Machines is an essential tool for increasing productivity and reliability in the aerospace industry. By utilizing cutting-edge sensors and wireless connectivity, the system continuously collects and evaluates data from milling machines in real time, monitoring variables like pressure, vibration, and temperature.
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.
This invention offers a sophisticated method of keeping an eye on and evaluating the milling machine's operational state. The TCMBM_CRFNode and the RWOMS_SPNode are the two main nodes that comprise the basic hardware components. The TI AM69 Processor, CC3000 RF for wireless communication, DS18B20 Sensor for temperature monitoring, MEMS Vibration Sensor for vibration detection, Pressure Sensor for pressure measurement, RTC Module for precise timekeeping, and a dependable Power Supply are all included in the sturdy assembly that makes up the TCMBM_CRFNode. When taken as a whole, these components enable the direct processing and capture of real-time data from the milling machine. When taken as a whole, these components enable the direct processing and capture of real-time data from the milling machine. The RWOMS_SPNode, on the other hand, is made for remote monitoring and uses the TI AM69 Processor, CC3000 RF for smooth communication, NuttyfiWiFi Module for internet access, HMI Display for on-site visualization, Buzzer for audible alerts, and a separate Power Supply. The cloud-based infrastructure and the milling machines are interfaced by this node.
The whole system runs on an Internet of Things (IoT) framework, where sensor data is wirelessly gathered and sent to a customized cloud server made just for this invention. The incoming data is processed by an advanced analytical algorithm hosted on the cloud server. Subsequently, the outcomes are exhibited via a personalized online dashboard, obtainable via protected user credentials. This dashboard provides a thorough overview of the state of the milling machine. It includes crucial alerts that are triggered by specified algorithms and time-based charts that show trends. During severe situations, the maintenance staff can get real-time notifications through numerous channels, including the on-site HMI Display and email alerts. The operator can remotely monitor and evaluate the performance of the milling machine by signing into their account.
BEST METHOD OF WORKING
1. Real-time data acquisition from a moving-bridge milling machine is made easier by the TCMBM_CRFNode, which is outfitted with a TI AM69 Processor, CC3000 RF, DS18B20 Sensor, MEMS Vibration Sensor, Pressure Sensor, RTC Module, and Power Supply. This allows for comprehensive condition monitoring and enhances the dependability and efficiency of aerospace manufacturing processes.
2. The RCMBM_CRFNode is used as a remote interface for moving-bridge milling machines. It is outfitted with a TI AM69 Processor, CC3000 RF, NuttyfiWiFi Module, HMI Display, Buzzer, and Power Supply. These features allow for real-time monitoring, user-friendly interaction, and prompt alerts, all of which improve the overall efficiency and dependability of the aerospace manufacturing process.
3. The two motes' integrated CC3000 RF technology is claimed to be responsible for the smooth wireless communication between the TCMBM_CRFNode and RCMBM_CRFNode, the real-time data transmission of sophisticated sensors to the customized cloud server, and the extensive condition monitoring of moving-bridge milling machines in the aerospace manufacturing industry.
4. The TCMBM_CRFNode is connected to the DS18B20 Sensor, which measures temperature, the MEMS Vibration Sensor, which detects vibrations, and the Pressure Sensor, which records pressure levels in real time. These sensors work together to provide a variety of operational data for the Comprehensive Condition Monitoring System, improving analysis precision and boosting the overall dependability and efficiency of moving-bridge milling machines in the aerospace manufacturing industry.
5. To improve the effectiveness and accessibility of the Comprehensive Condition Monitoring System in aerospace manufacturing, the NuttyfiWiFi Module integrated into RCMBM_CRF is used to enable wireless internet connectivity for the RCMBM_CRFNode, facilitate real-time remote monitoring of moving-bridge milling machines, and ensure seamless communication with the cloud-based infrastructure.
6. The HMI Display, which is interfaced with RCMBM_CRF, improves user interface experience for effective decision-making in aerospace manufacturing by giving operators on-site visualization and interaction while allowing them to track the state of moving-bridge milling machines in real-time.
ADVANTAGES OF THE INVENTION
1. This breakthrough relies on the TCMBM_CRFNode, a critical piece of hardware that allows real-time data gathering from moving-bridge milling machines. This feature facilitates thorough condition monitoring, which greatly improves the effectiveness and dependability of aerospace manufacturing procedures.
2. The innovation relies heavily on the RCMBM_CRFNode, which serves as a remote interface for moving-bridge milling machines. The TI AM69 Processor and CC3000 RF are used for wireless connection, allowing for real-time monitoring, intuitive user interface, and prompt warnings. The entire effectiveness and dependability of the aerospace production process are improved by these capabilities.
3. A key component of this invention is the CC3000 RF technology, which enables smooth wireless communication between the TCMBM_CRFNode and RCMBM_CRFNode. It makes it possible for cutting-edge sensors to transmit data in real time to a customized cloud server, which helps with moving-bridge milling machine status monitoring in the aerospace industry.
4. The pressure sensor records pressure levels in real time, the MEMS vibration sensor picks up vibrations, and the DS18B20 sensor keeps an eye on temperature. All of these sensors work together to give the Comprehensive Condition Monitoring System a variety of operational data that improves analysis precision and adds to the overall dependability and efficiency of moving-bridge milling machines used in aerospace manufacturing.
5. The invention is greatly enhanced by the NuttyfiWiFi Module, which makes it possible for the RCMBM_CRFNode to connect to the internet wirelessly. This feature allows for seamless contact with the cloud-based infrastructure and real-time remote monitoring of moving-bridge milling machines. As such, it improves the Comprehensive Condition Monitoring System's accessibility and efficiency in the aircraft manufacturing industry.
, C , Claims:1. A Comprehensive Condition Monitoring of Moving-Bridge Milling Machine Using CC3000 RF in Aerospace Manufacturing system, comprises a TCMBM_CRFNode (101) equipped with a TI AM69 Processor (102), CC3000 RF (103), DS18B20 Sensor (104), MEMS Vibration Sensor (105), Pressure Sensor (106), RTC Module (107), and Power Supply (108), and an RCMBM_CRFNode (201) equipped with a TI AM69 Processor (202), CC3000 RF (203), Nuttyfi WiFi Module (204), HMI Display (205), Buzzer (206), and Power Supply (207). Together, these nodes enable real-time data acquisition, monitoring, and communication with a cloud-based infrastructure, ensuring comprehensive condition monitoring and improved efficiency in aerospace manufacturing.
2. The system, as claimed in Claim 1, wherein the CC3000 RF (103, 203) facilitates seamless wireless communication between the TCMBM_CRFNode and RCMBM_CRFNode, enabling real-time data transmission of operational parameters to a customized cloud server for enhanced condition monitoring.
3. The system, as claimed in Claim 1, wherein the DS18B20 Sensor (104) provides real-time temperature monitoring within moving-bridge milling machines, aiding in the detection of thermal anomalies and contributing to improved operational reliability.
4. The system, as claimed in Claim 1, wherein the MEMS Vibration Sensor (105) detects real-time vibration data, enabling the identification of mechanical irregularities and supporting proactive maintenance of moving-bridge milling machines.
5. The system, as claimed in Claim 1, wherein the Pressure Sensor (106) monitors pressure levels in real-time, facilitating accurate operational assessments and early detection of pressure-related anomalies.
6. The system, as claimed in Claim 1, wherein the RTC Module (107) integrated into TCMBM_CRFNode ensures precise timekeeping, aiding in the chronological recording of operational data for comprehensive analysis.
7. The system, as claimed in Claim 1, wherein the Nuttyfi WiFi Module (204) in RCMBM_CRFNode ensures reliable internet connectivity, enabling remote monitoring and control of moving-bridge milling machines and seamless data synchronization with the cloud infrastructure.
8. The system, as claimed in Claim 1, wherein the HMI Display (205) interfaced with RCMBM_CRFNode provides operators with real-time visualization of operational data and critical alerts, enhancing decision-making and on-site monitoring efficiency.
9. The system, as claimed in Claim 1, wherein the Buzzer (206) in RCMBM_CRFNode provides audible alerts for immediate notification of critical operational issues, ensuring timely intervention in aerospace manufacturing.
10. The system, as claimed in Claim 1, wherein the customized cloud server processes real-time data from the TCMBM_CRFNode and RCMBM_CRFNode using advanced analytics, generating actionable insights and trend-based analysis to improve operational efficiency.

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