A SYSTEM FOR REAL-TIME CONDITION MONITORING OF AN OVERHEAD CONVEYOR CRATE WASHER IN THE AUTOMOTIVE MANUFACTURING INDUSTRY

Abstract

The Cloud Integrated Health Monitoring and Alert Solution for Overhead Conveyor Crate Washers within Automotive Manufacturing (CIHM_ASOCCWMote) addresses these challenges by providing real-time monitoring and analysis capabilities. The system integrates an STM32 Processor Board as the central processing unit, a GSM modem for wireless communication, and sensors, including an accelerometer, pressure, vibration, and temperature sensors, to capture dynamic data during machine operation. This data is transmitted to a dedicated cloud server where advanced algorithms detect patterns and abnormalities to facilitate the early detection of potential problems.

Specification

Description:FIELD OF THE INVENTION
The invention relates to a system for real-time monitoring and analysis of overhead conveyor crate washers in the automotive manufacturing industry.
BACKGROUND OF THE INVENTION
Maintaining and monitoring the operational status of overhead conveyor crate washers is crucial for efficient and productive automotive manufacturing processes. However, traditional methods often fall short of providing real-time information about the condition of these machines, potentially leading to disruptions, extended downtime, and increased maintenance costs. Undetected issues can also jeopardize product quality and production efficiency.
Followings are some prior arts to the present invention:
JP6382278B2 The said prior art relates to a crate cleaning machine for cleaning a crate for conveying articles. Crate for transporting goods such as food is transported by sorting and transporting products in the crate for each store at the distribution center, and after receiving the product at each store, the crate is returned and washed It is reused after being cleaned by the equipment. The cleaning device for crate cleaning has a cleaning unit, a rinsing unit, and a drying unit as in Patent Document 1, and is arranged to be linear using a belt conveyor to clean the crate. There are so many things. Moreover, in invention of patent document 1, the device which floats and removes deposits, such as a seal and a tape adhering to a crate surface, from a crate surface in a swelling part is devised. The cleaning device of Patent Document 1 can clean a large amount of crate, but is a large-scale device.
NL2015322B1 The said prior art relates to a crate washing device comprising a conveyor member for transporting crates in a transport direction T with a bottom along a conveying plane C and sidewalls extending in an upward direction, below a first nozzle device situated at a predetermined distance from the conveying plane C for ejecting a jet of cleaning fluid in a spraying direction S onto the bottom of the crate, wherein the spraying direction S encloses a first angle a of more than 20° with a height direction H that is transverse to the conveying plane.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed.
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 Cloud Integrated Health Monitoring and Alert Solution for Overhead Conveyor Crate Washers within Automotive Manufacturing (CIHM_ASOCCWMote) addresses these challenges by providing real-time monitoring and analysis capabilities. The system integrates an STM32 Processor Board as the central processing unit, a GSM modem for wireless communication, and sensors, including an accelerometer, pressure, vibration, and temperature sensors, to capture dynamic data during machine operation. This data is transmitted to a dedicated cloud server where advanced algorithms detect patterns and abnormalities to facilitate the early detection of potential problems.
The CIHM_ASOCCWMote provides feedback to end-users through a web-based user interface that offers an extensive analytics display, trending statistics, and real-time alerts in the event of inconsistencies. The system also sends email-based maintenance notifications to appropriate operators and authorities, enabling proactive maintenance and optimizing machine performance in the automotive manufacturing industry.
To further clarify advantages and features of the present invention, a more particular description of the invention is rendering by reference to specific embodiments thereof, which is illustrated in the appended drawing.
It is appreciated that the drawing depicts only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention is being described and explained with additional specificity and detail with the accompanying drawing.

BRIEF DESCRIPTION OF DRAWINGS
The foregoing detailed description of embodiments is better understood when read in conjunction with the attached drawing. For better understanding, each component is represented by a specific number which is further illustrated as a reference number for the components used with the figures.
FIGURE 1 REPRESENTS BLOCK DIAGRAM OF PRESENT SYSTEM
Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the system, one or more components of the system may have been represented in the drawing by conventional symbols, and the drawing may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawing with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
DETAILED DESCRIPTION OF THE INVENTION
For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawing and specific language will be used to describe the same.
It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skilled in the art to which this invention belongs.
Embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
The Cloud Integrated Health Monitoring and Alert Solution for Overhead Conveyor Crate Washers within Automotive Manufacturing (CIHM_ASOCCWMote) addresses these challenges by providing real-time monitoring and analysis capabilities. The system integrates an STM32 Processor Board as the central processing unit, a GSM modem for wireless communication, and sensors, including an accelerometer, pressure, vibration, and temperature sensors, to capture dynamic data during machine operation. This data is transmitted to a dedicated cloud server where advanced algorithms detect patterns and abnormalities to facilitate the early detection of potential problems.
The CIHM_ASOCCWMote provides feedback to end-users through a web-based user interface that offers an extensive analytics display, trending statistics, and real-time alerts in the event of inconsistencies. The system also sends email-based maintenance notifications to appropriate operators and authorities, enabling proactive maintenance and optimizing machine performance in the automotive manufacturing industry.
The CIHM_ASOCCWMote system comprises:
1. STM32 Processor Board: This serves as the central processing unit, responsible for collecting, processing, and transmitting data from various sensors.
2. GSM Modem: Enables wireless communication and real-time data transmission to the cloud server.
3. Neural Stick2: Enables on-device artificial intelligence processing for advanced analytics and pattern recognition.
4. Accelerometer: Captures dynamic data on machine movements.
5. Pressure Sensor: Monitors machine pressure levels.
6. Vibration Sensor: Detects vibrations and anomalies in machine operation.
7. Temperature Sensor: Monitors machine temperature.
8. TFT Display: Provides on-site operators with real-time visual feedback on machine status.
9. Power Supply: Ensures continuous power for the system's operation.
The data collected by the sensors is transmitted to a customized cloud server where it undergoes analysis by a preset machine learning algorithm. This analysis helps detect patterns, trends, and anomalies in the data, facilitating the early detection of potential problems. The results are relayed to end-users through the TFT Display and a web-based user interface, which provides an extensive analytics display, trending statistics, and real-time alerts. Email-based maintenance notifications are also sent to appropriate operators and authorities.
While specific language has been used to describe the present invention, any limitations arising on account thereto, are not intended. As would be apparent to a person in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment.
ADVANTAGES OF THE PRESENT INVENTION
1. A cutting-edge system that seamlessly combines sensors, cloud computing, and complex analytics is the CIHM_ASOCCWMote. In the end, this integration increases operational efficiency and reduces downtime for overhead conveyor crate washers in the automotive manufacturing industry by enabling real-time monitoring and predictive repair notifications.
2. CIHM_ASOCCWMote's embedded GSM modem facilitates data transmission to a customized cloud server, ensuring smooth connection. Even in remote areas, this feature guarantees prompt notifications and updates about the condition of the overhead conveyor crate washers used in car manufacture.
3. Neural Stick2 extends the capabilities of CIHM_ASOCCWMote through on-device artificial intelligence processing. This feature optimizes the health monitoring and alarm system for overhead conveyor crate washers in the automotive production industry by enabling advanced analytics and pattern recognition in the gathered sensor data.
4. Complete monitoring of important parameters is made possible by the integration of accelerometer, temperature, vibration, pressure, and vibration sensors in CIHM_ASOCCWMote. Through the collection and analysis of real-time data for prompt anomaly identification and maintenance warnings, this guarantees a comprehensive evaluation of the health of overhead conveyor crate washers in the automotive manufacturing industry.
5. CIHM_ASOCCWMote's integrated TFT Display functions as a local interface for instantaneous data visualization after analysis. With the help of this feature, operators in the automotive production industry may easily keep an eye on the condition of the overhead conveyor crate washers in real time.

, Claims:1. A system for real-time condition monitoring of an overhead conveyor crate washer in the automotive manufacturing industry, comprising:
an STM32 Processor Board as a central processing unit configured to receive and process data from a plurality of sensors;
a plurality of sensors configured to capture dynamic data during the operation of the machine, the plurality of sensors including at least an accelerometer, a pressure sensor, a vibration sensor, and a temperature sensor;
a GSM modem configured to transmit real-time data from the sensors to a cloud server;
a TFT Display configured to provide visual feedback on machine status; and
a power supply configured to provide continuous power for the operation of the system.
2. The system as claimed in claim 1, wherein the cloud server is further configured to:
analyze real-time data using a machine learning algorithm to detect patterns and abnormalities.
3. The system as claimed in claim 1, further comprising a web dashboard configured to provide remote access to an extensive analytics display, trending statistics, and real-time alerts.
4. The system as claimed in claim 3, wherein the web dashboard is further configured to provide email notifications to authorized personnel regarding potential issues or anomalies detected by the system.
5. The system as claimed in claim 1, wherein the TFT Display is configured to provide on-site operators with real-time visual insights into the machine's status, enabling proactive maintenance and facilitating prompt responses to critical alerts.

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