Video-Based Pipeline Vibration Monitoring via Key Point Displacement
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Solution Overview
Problem
Manual monitoring of industrial pipeline vibrations is inadequate for timely detection of abnormal vibrations, as it is random and cannot achieve full-range surveillance, leading to potential damage or leakage.
Innovation Solution
A vibration object monitoring method that determines the vibration object region in a monitoring video picture by calculating difference pixel values and image content changes, records displacement information of key points, and generates vibration information to identify abnormal vibrations, enabling timely monitoring without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual monitoring is used to detect pipeline vibrations, then the system complexity is low, but the monitoring coverage and timeliness are insufficient
Solution Approach 1:
The patent replaces manual mechanical monitoring with an automated image processing system that uses computer vision to detect vibration objects in video streams. The system automatically identifies vibrating objects by analyzing pixel value changes and generating vibration information, eliminating the need for human operators to manually observe and record pipeline vibrations.
Solution Approach 2:
The patent creates a digital copy of the physical pipeline monitoring process by capturing video images and processing them through algorithms that simulate human visual detection. The system generates virtual representations of vibration objects and their movement patterns, allowing automated analysis without direct human intervention while maintaining monitoring accuracy.
2Productivity
If manual monitoring is used for pipeline vibrations, then the cost is low, but the monitoring cannot achieve full-range and full-period surveillance
Solution Approach 1:
The patent divides the video image into multiple candidate regions and processes each region independently to identify vibration objects. By segmenting the monitoring task into smaller spatial units (candidate regions) and temporal units (sampled frames), the system achieves full-range coverage while managing computational load through localized processing rather than analyzing the entire video stream at once.
Solution Approach 2:
The patent applies partial action by selectively processing only certain frames (sampling every n-th frame) and only certain regions (candidate regions with potential vibration objects) rather than analyzing every pixel in every frame. This approach achieves sufficient monitoring coverage while reducing the total computational quantity required, balancing productivity with resource consumption.
3Loss of time
If automated image processing is used to detect vibration objects, then the monitoring timeliness is improved, but the algorithm complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining candidate regions in the video frame and pre-establishing processing pipelines for different analysis stages (pixel value calculation, difference computation, vibration information generation). This preparation work is done beforehand to enable rapid real-time detection when actual vibration events occur, reducing the time loss during critical monitoring moments.
Solution Approach 2:
The patent implements dynamic processing by adjusting the sampling rate (n frames) and candidate region selection based on monitoring conditions. The system dynamically balances algorithm complexity and detection speed by modifying processing intensity according to the situation, allowing timely detection while managing computational resources flexibly rather than using a fixed complex algorithm for all cases.
Data Source
AI summary
Provided are a vibration object monitoring method and apparatus, a computer device, and a storage medium. The method includes: in response to detecting that a vibration object exists in a monitoring video picture for a target monitoring region, a vibration object region in the monitoring video picture is determined, where the vibration object region is a region where the vibration object is located in the monitoring video picture; displacement information of a key point of the vibration object in the vibration object region is recorded; vibration information of the vibration object in the monitoring video picture is determined based on the displacement information; and a vibration object monitoring result for the target monitoring region is generated according to the vibration information. The abnormal vibration monitoring can be performed on the vibration object in the target monitoring region in time according to this method.