8-CHANNEL FFT ANALYTICAL EXTERNAL DEVICE FOR MONITORING CRACKER MILLS MACHINES IN THE TIRE SHREDDER INDUSTRY

Abstract

8-channel FFT analytical external device for monitoring cracker mills machines in the tire shredder industry comprises FADE_CMote(10), GSM Modem(10A), HMI Display(10B), 8 channel ADC Multiplexer(10C), RTC Module (10D), Power Supply(10E), Accelerometer (10F), Vibration Sensor((10G), Temperature Sensor (10H), Pressure Sensor(10J), Raspberry Pi Processor Baord(10K). The FAED_CMote's Raspberry Pi Processor Board serves as the device's central processing unit. It does this by employing sophisticated algorithms to analyze data from the device's many sensors. This allows for real-time FFT analytics and makes it easier to display detailed machine performance insights on the HMI Display, all while guaranteeing smooth data transmission to the cloud for tire shredder industry remote monitoring.

Specification

Description:FIELD OF THE INVENTION
This invention relates to 8-channel FFT analytical external device for monitoring cracker mills machines in the tire shredder industry.
BACKGROUND OF THE INVENTION
The Tire Shredder Industry faces a major issue in effectively monitoring and maintaining Cracker Mill Machines. In-depth analyses of critical factors such as temperature, vibrations, accelerations, and real-time pressure fluctuations are not sufficiently covered by current monitoring systems. This limitation makes it more difficult for the industry to identify any problems early on, which raises maintenance costs, causes operational inefficiencies, and increases downtime.
US11753530B2 Crumb rubber obtained from recycled tires is subjected to an interlinked substitution process. The process utilizes a reactive component that interferes with sulfur bonds. The resulting treated rubber exhibits properties similar to those of the virgin composite rubber structure prior to being granulated, and is suitable for use in fabricating new tires, engineered rubber articles, and asphalt rubber for use in waterproofing and paving applications.
External 8-Channel FFT Device woith analytics for Monitoring of Cracker Mills Machines in the Tire Shredder Industry is the novelty of the system.
CN206881890U The utility model discloses a kind of mechanical grinding machine, Including feeding warehouse and crushing bin, Feeding warehouse inner bottom part is provided with cracker, Crushing bin bottom is fixedly installed base, The second motor is provided with base, Second motor is connected with rotating shaft by shaft coupling and rotating shaft stretches to crushing bin inner top, The top of rotating shaft is fixedly installed some Disintegrating knifes, The bottom of rotating shaft is fixedly installed screw blade, Liner plate is connected with by spring respectively on four side inwalls of the first cavity, Some spines are fixedly installed on liner plate, Connecting rod is fixedly installed on second cavity inner wall, Connecting rod front end is fixedly installed sliding sleeve, Percussion bar is provided with sliding sleeve, The afterbody for tapping bar is provided with connector, Second cavity inner bottom part is provided with the 3rd motor, Cam is provided with the output shaft of 3rd motor and cam contacts with each other with connector, The crushing bin bottom is additionally provided with discharging opening, The utility model milling precision is high, Convenient and efficiency discharge more preferably.
RESEARCH GAP: External 8-Channel FFT Device woith analytics for Monitoring of Cracker Mills Machines in the Tire Shredder Industry 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.
This cutting-edge monitoring system uses a network of sensors to track and examine the dynamics of operation of Cracker Mill Machines, which is crucial to the Tire Shredder Industry. It provides real-time data collecting and analysis, offering useful information on temperature variations, vibrations, accelerations, and pressure changes by combining IoT and cloud-based technologies. An interface that visually displays the processed data enables operators to immediately see patterns, trends, and abnormalities in the machine's performance.
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 FAED_CMote is a tire shredder industry device that collects data continuously from sensors positioned strategically on cracker mill machines. These sensors, which include an accelerometer, pressure, vibration, and temperature sensor, have distinct functions in monitoring the machine's functioning. Analog signals from these sensors are effectively managed and channeled to the Raspberry Pi Processor Board via the 8-Channel ADC Multiplexer. After receiving the data, the Raspberry Pi runs it through an algorithm that has been pre-programmed for FFT analytics. The system can recognize patterns, trends, and particular features pertaining to the machine's functioning thanks to this research. A thorough summary of the machine's status and performance metrics is provided by the graphical representations of the processed data that are shown on the HMI Display.
Concurrently, the gadget uses a GSM modem to create a connection in order to access the internet. An synchronized chronology of events is created by an RTC module, which guarantees correct timestamping of the data gathered. After processing, the data is sent to a cloud server where it is safely stored, along with timestamps. This cloud-based method accomplishes two goals at once by allowing remote access to the data and real-time monitoring. Authorized staff members can use a customized online dashboard linked to the cloud server to access the machine's performance data from any location. The ability to monitor and manage remotely improves efficiency and enables quick reactions to any anomalies or problems that the FAED_CMote detects.
BEST METHOD OF WORKING
1. Using a variety of sensors and advanced analytics to provide real-time insights into the performance of Cracker Mills Machines in the Tire Shredder Industry, the FAED_CMote is equipped with a Raspberry Pi Processor Board, GSM Modem, RTC Module, 8 Channel ADC Multiplexer, Temperature Sensor, Vibration Sensor, Accelerometer, Pressure Sensor, HMI Display, and Power Supply. This enhances operational efficiency and makes remote monitoring possible through cloud-based technology.
2. The FAED_CMote's Raspberry Pi Processor Board serves as the device's central processing unit. It does this by employing sophisticated algorithms to analyze data from the device's many sensors. This allows for real-time FFT analytics and makes it easier to display detailed machine performance insights on the HMI Display, all while guaranteeing smooth data transmission to the cloud for tire shredder industry remote monitoring.
3. The FAED_CMote's built-in GSM modem allows it to send processed data in real time to a cloud server, guaranteeing smooth connectivity and enabling remote monitoring of Cracker Mills machines in the tire shredder sector.
4. The connected RTC Module in FAED_CMote is used to ensure precise timestamping of data gathered by FAED_CMote, offering synchronized chronological records of machine performance. This improves analytics precision and makes Cracker Mill Machines in the Tire Shredder Industry easier to monitor.
5. The 8-Channel ADC Multiplexer that is integrated in FAED_CMote, is used for efficiently handles and channels analog signals from various sensors within the FAED_CMote, allowing the Raspberry Pi Processor Board for process diverse data inputs at once, enhancing the capability for comprehensive FFT analytics and real-time monitoring of Cracker Mills Machines in the Tire Shredder Industry.
6. The FAED_CMote is equipped with temperature, vibration, acceleration, and pressure sensors that work together to form a comprehensive monitoring system. This system provides real-time data on temperature variations, mechanical vibrations, accelerations, and pressure changes, all of which are essential for thorough FFT analytics and proactive monitoring of Cracker Mills Machines in the Tire Shredder Industry.
7. The FFT analytics results and different sensor data are presented graphical in the HMI Display that is interfaced in FAED_CMote, allowing operators to see and understand machine performance insights in real-time for efficient monitoring and decision-making in the tire shredder industry.
8. To ensure the continuous and dependable operation of the FAED_CMote, an external power supply is plugged in. It supplies the energy required to support the functionality of sensors, processors, and communication modules, enabling continuous monitoring of the Cracker Mills Machines in the Tire Shredder Industry.
ADVANTAGES OF THE INVENTION
1. The FAED_CMote is a full-featured Internet of Things (IoT) monitoring tool that uses a variety of sensors and sophisticated algorithms to provide real-time information on the operation of Cracker Mills Machines in the Tire Shredder Sector. This improves operational effectiveness and makes use of cloud-based technology to enable remote monitoring.
2. This innovation's GSM modem creates a vital connection that allows the FAED_CMote to send processed data in real time to a cloud server. In the tire shredder industry, this guarantees smooth connectivity and makes remote monitoring of Cracker Mills machines easier.
3. The 8-Channel ADC Multiplexer efficiently organizes and routes analog signals from numerous sensors within the FAED_CMote. As a result, the Raspberry Pi Processor Board can handle multiple data inputs at once, improving its capacity for thorough FFT analytics and in-the-moment tire shredder industry monitoring of cracker mill machines.
4. The Temperature sensor, Vibration Sensor, Accelerometer, and Pressure Sensor within the FAED_CMote together contribute to a comprehensive monitoring system. They give real-time data on temperature variations, mechanical vibrations, accelerations, and pressure changes, which are vital for full FFT analytics and proactive monitoring of Cracker Mills Machines in the Tire Shredder Industry.
5. The HMI Display provides a user-friendly interface by displaying graphical representations of the sensor data and the outcomes of FFT analytics. This facilitates efficient monitoring and decision-making in the tire shredder industry by allowing operators to observe and analyze machine performance details in real-time.
, Claims:1. A 8-channel fft analytical external device for monitoring cracker mills machines in the tire shredder industry comprises FAED_CMote(10), GSM Modem(10A), HMI Display(10B), 8 channel ADC Multiplexer(10C), RTC Module(10D), Power Supply(10E), Accelerometer(10F), Vibration Sensor((10G), Temperature Sensor(10H), Pressure Sensor(10J), Raspberry Pi Processor Board(10K).
2. The device as claimed in claim 1, wherein the FAED_CMote's Raspberry Pi Processor Board serves as the device's central processing unit. It does this by employing sophisticated algorithms to analyze data from the device's many sensors; and allows for real-time FFT analytics and makes it easier to display detailed machine performance insights on the HMI Display, all while guaranteeing smooth data transmission to the cloud for tire shredder industry remote monitoring.
3. The device as claimed in claim 1, wherein the FAED_CMote's built-in GSM modem allows it to send processed data in real time to a cloud server, guaranteeing smooth connectivity and enabling remote monitoring of Cracker Mills machines in the tire shredder sector.
4. The device as claimed in claim 1, wherein the connected RTC Module in FAED_CMote is used to ensure precise timestamping of data gathered by FAED_CMote, offering synchronized chronological records of machine performance; and this improves analytics precision and makes Cracker Mill Machines in the Tire Shredder Industry easier to monitor.
5. The device as claimed in claim 1, wherein the 8-Channel ADC Multiplexer that is integrated in FAED_CMote, is used for efficiently handles and channels analog signals from various sensors within the FAED_CMote, allowing the Raspberry Pi Processor Board for process diverse data inputs at once, enhancing the capability for comprehensive FFT analytics and real-time monitoring of Cracker Mills Machines in the Tire Shredder Industry.
6. The device as claimed in claim 1, wherein the FAED_CMote is equipped with temperature, vibration, acceleration, and pressure sensors that work together to form a comprehensive monitoring system; and provides real-time data on temperature variations, mechanical vibrations, accelerations, and pressure changes, all of which are essential for thorough FFT analytics and proactive monitoring of Cracker Mills Machines in the Tire Shredder Industry.
7. The device as claimed in claim 1, wherein The FFT analytics results and different sensor data are presented graphical in the HMI Display that is interfaced in FAED_CMote, allowing operators to see and understand machine performance insights in real-time for efficient monitoring and decision-making in the tire shredder industry.
8. The device as claimed in claim 1, wherein to ensure the continuous and dependable operation of the FAED_CMote, an external power supply is plugged in; and it supplies the energy required to support the functionality of sensors, processors, and communication modules, enabling continuous monitoring of the Cracker Mills Machines in the Tire Shredder Industry.

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