AN EDGE DEVICE FOR FFT ANALYSIS AND AI RECOMMENDATION OF CENTRIFUGAL PUMPS WITHIN OIL AND GAS INDUSTRIES

Abstract

The present invention, FFTED_AIRMote, introduces an edge device technology for real-time monitoring and analysis of centrifugal pumps in the oil and gas industry. Utilizing an STM32 Processor Board, ESP32 Board, various sensors, RTC Module, and External EEPROM, the device performs FFT analysis on sensor data and provides AI-driven recommendations for pump operation and maintenance. The results are accessible through an HMI display and a web dashboard, enabling proactive decision-making to optimize pump performance and prevent failures.

Specification

Description:FIELD OF THE INVENTION
The present invention relates to the field of centrifugal pump monitoring and maintenance, particularly within the oil and gas industry. It focuses on utilizing edge device technology for real-time data analysis, employing Fast Fourier Transform (FFT) analysis and AI-driven recommendations to optimize pump performance and prevent failures.
BACKGROUND OF THE INVENTION
Centrifugal pumps are critical assets in the oil and gas industry, demanding continuous operation and high reliability. Unexpected failures or performance degradation can lead to significant production losses and safety hazards. Traditional pump monitoring techniques often rely on scheduled inspections and manual data analysis, which may not provide timely detection of developing issues. Advanced methods like vibration analysis are effective but often require specialized expertise and may not be cost-effective for continuous monitoring.
Therefore, there is a need for a solution that enables real-time, automated monitoring and analysis of centrifugal pump performance, providing actionable insights to operators and maintenance personnel for proactive decision-making.
Followings are some prior arts to the present invention:
SU1448110A1 The said prior art makes it possible to increase the efficiency of the pump operation in the self-priming mode. In the housing there is a blade diffuser with an outlet. A vortex stage and an impeller are fixed on a common shaft. The driving disk of the wheel is equipped with a seal 8 and bypass holes connecting the suction cavity of the wheel with the input of the stage Seal is made of a hydrodynamic type with radial blades. Seal reduces the axial load acting on the rotor and increases the life of the bearings.
RU2392499C2 This said prior art refers to centrifugal pump and its impeller. Pump includes volute, rear wall, impeller. Impeller has casing and balancing channels passing through casing. Impeller is connected to shaft of pump and rotated inside volute. Balancing channels pass through casing so that hole of channels in front surface of casing of impeller is located both in front of hole located on rear surface of casing, in circumferential direction, and closer to axis of the pump than hole on rear surface of casing of impeller. The pump can be used without risk of damage to shaft sealing or any other damages at capacities which are higher than optimum working point.
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 present invention, referred to as FFTED_AIRMote, introduces an edge device technology solution for real-time monitoring and analysis of centrifugal pumps in the oil and gas industry. The device comprises an STM32 Processor Board as the central processing unit, an ESP32 Board for internet connectivity, various sensors (vibration, temperature, pressure, accelerometer), an RTC Module for accurate timestamping, and an External EEPROM for data storage.
FFTED_AIRMote collects sensor data, performs FFT analysis to identify patterns and anomalies, and utilizes AI algorithms to provide recommendations for pump operation and maintenance. The results are displayed on a user-friendly HMI display and a dedicated web dashboard, enabling both on-site and remote access to real-time and historical data.
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 present invention, referred to as FFTED_AIRMote, introduces an edge device technology solution for real-time monitoring and analysis of centrifugal pumps in the oil and gas industry. The device comprises an STM32 Processor Board as the central processing unit, an ESP32 Board for internet connectivity, various sensors (vibration, temperature, pressure, accelerometer), an RTC Module for accurate timestamping, and an External EEPROM for data storage.
FFTED_AIRMote collects sensor data, performs FFT analysis to identify patterns and anomalies, and utilizes AI algorithms to provide recommendations for pump operation and maintenance. The results are displayed on a user-friendly HMI display and a dedicated web dashboard, enabling both on-site and remote access to real-time and historical data.
The FFTED_AIRMote device operates through the following steps:
1. Data Acquisition: Sensors (vibration, temperature, pressure, accelerometer) installed on the centrifugal pump collect real-time operational data.
2. Data Transmission: The ESP32 Board facilitates the transmission of sensor data to the STM32 Processor Board for processing and analysis.
3. FFT Analysis: The STM32 Processor Board performs FFT analysis on sensor data to identify patterns, frequencies, and anomalies indicative of pump health.
4. AI-driven Recommendations: AI algorithms analyze the processed data to provide actionable insights, such as maintenance schedules, performance optimization strategies, and potential failure predictions.
5. Data Visualization and Alerts: The processed data, FFT analysis results, and AI recommendations are displayed on an HMI display for on-site monitoring and a web dashboard for remote access. An alarm system provides timely notifications for critical events.
6. Data Storage: External EEPROM stores historical sensor data, enabling long-term trend analysis and performance evaluation.
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. By seamlessly combining IoT, cloud, AI, and ML technologies, the FFTED_AIRMote plays a transformative role in this breakthrough. It offers AI-driven advice and real-time FFT analysis to maximize the dependability and efficiency of centrifugal pumps used in the oil and gas sector.
2. This innovation relies heavily on the ESP32 Board, which is essential for smooth networking, data transfer, and IoT device communication. It is essential for combining FFT analysis, AI-driven recommendations, and enhanced monitoring to maximize centrifugal pump performance in the oil and gas sector.
3. This innovation's integration of the pressure, temperature, accelerometer, and vibration sensors guarantees thorough data collecting. By recording crucial operating metrics, this allows for FFT analysis and AI-driven recommendations for real-time monitoring and optimization of centrifugal pumps within the Oil and Gas Industries.
4. The RTC Module, which offers precise timestamping, is an essential part of this innovation. It contributes to the dependability and efficiency of real-time monitoring and FFT analysis for centrifugal pumps in the oil and gas industries by facilitating synchronized data logging and guaranteeing accurate time-based analysis.
5. This innovation's key storage element, the External EEPROM, enables effective and long-lasting data storage. In the oil and gas industries, it guarantees historical recordings and facilitates the easy recovery of crucial data for real-time centrifugal pump monitoring and FFT analysis.

, Claims:1. An Edge Device for FFT analysis and AI Recommendation of Centrifugal Pumps within Oil and Gas Industries, comprising:
2. an STM32 Processor Board as the central processing unit;
3. an ESP32 Board for internet connectivity;
4. a plurality of sensors, including vibration, temperature, pressure, and accelerometer sensors, for capturing pump operational data;
5. an RTC Module for accurate timestamping of data;
6. an External EEPROM for storing historical data; and
7. an HMI display for on-site visualization of data and AI-driven recommendations.
8. The device as claimed in claim 1, wherein the ESP32 Board facilitates data transmission between the sensors and the STM32 Processor Board, and enables remote access to the device through a dedicated web dashboard.
9. The device of claim 1, wherein the STM32 Processor Board performs FFT analysis on the sensor data to identify patterns, frequencies, and anomalies indicative of pump health.
10. The device of claim 1, further comprising AI algorithms that analyze the processed sensor data to provide actionable insights, such as maintenance schedules, performance optimization strategies, and potential failure predictions; and further comprising an alarm system configured to provide notifications

through the HMI display and the web dashboard, alerting operators of critical events or anomalies detected in the centrifugal pump operation.

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