Mobile Pump Card Diagnosis via Image Recognition
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Solution Overview
Problem
The manual diagnosis of sucker-rod pumping system conditions using dynamometer cards is labor-intensive and time-consuming, especially in legacy environments without centralized data collection and analysis systems, necessitating a cost-effective and quick solution for condition assessment and corrective action determination.
Innovation Solution
A mobile device equipped with image recognition capabilities, capable of capturing and analyzing pump card images to map operating conditions, using a combination of rules-based and machine learning algorithms to classify pump operating conditions and provide immediate diagnostic outputs, with the option to send images to a remote server for further analysis when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recognition and diagnosis of pump working conditions is performed by an operator, then diagnostic accuracy can be achieved with specific knowledge, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical analysis process with an automated image recognition system using machine learning algorithms. The mobile device captures pump card images and automatically analyzes them through trained models, eliminating the need for manual operator intervention while maintaining diagnostic accuracy.
Solution Approach 2:
The system creates a digital copy of the pump card through image capture and processing. Instead of manually analyzing physical or printed pump cards, the mobile device captures an image copy and processes it through algorithms, enabling automated diagnosis without requiring physical handling or manual interpretation.
2Productivity
If automated centralized data collection and analysis systems are used, then productivity can be improved, but the cost and complexity increase significantly
Solution Approach 1:
The patent makes the mobile device multi-functional by integrating pump card analysis capabilities into a standard mobile device that operators already possess. The system combines image capture, machine learning inference, and diagnostic output in a single ubiquitous device, eliminating the need for dedicated centralized analysis systems while improving productivity.
Solution Approach 2:
The mobile device performs self-service analysis by capturing pump card images and automatically processing them through onboard or cloud-based machine learning models. The device independently generates diagnostic results without requiring connection to centralized systems, enabling autonomous operation in legacy environments.
3Adaptability or versatility
If manual diagnosis methods are used in legacy environments without centralized systems, then adaptability to existing infrastructure is maintained, but the ease of operation deteriorates due to expertise requirements
Solution Approach 1:
The mobile device acts as an intermediary between legacy pump card systems and modern analysis capabilities. It captures images from existing infrastructure and applies advanced machine learning algorithms, bridging the gap between old and new technologies without requiring system replacement or specialized operator expertise.
Solution Approach 2:
The patent replaces the need for specialized operator knowledge with automated machine learning algorithms. The system performs the complex diagnostic tasks that previously required trained operators, making the process accessible to any user while maintaining compatibility with legacy environments.
Data Source
AI summary
The present disclosure relates to a mobile device comprising one or more processors and one or more memories storing instructions that when executed by the one or more processors configure the mobile device to output a pump operating condition based on an input image representing a pump card. The pump operating condition may be determined based on an analysis of several sections or quadrants of a pump card, which can provide a more complete picture of the issues facing the pump, and provide corrective action.