Cavitation Detection Using Suction Pressure Variation Coefficient
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Solution Overview
Problem
Existing methods for detecting cavitation in pumps require changes to existing facilities and the attachment of sensors, making them cumbersome and inefficient.
Innovation Solution
A detection apparatus that uses a suction pressure acquirer to acquire suction pressure data and a detector to calculate a variation coefficient based on this data, allowing for the accurate detection of cavitation without modifying existing facilities, by comparing the calculated coefficient to a predetermined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure sensor and vibration sensor are attached to detect cavitation, then detection accuracy is improved, but device complexity and ease of operation deteriorate due to facility modifications
Solution Approach 1:
The invention extracts the cavitation detection function from complex multi-sensor systems and implements it using only existing suction pressure data. By taking out the essential detection capability and realizing it through simple variation coefficient calculation, the system achieves accurate cavitation detection without adding pressure sensors, vibration sensors, or other complex monitoring equipment.
Solution Approach 2:
The system makes the existing suction pressure measurement system serve dual purposes: its original function plus cavitation detection. By utilizing already-installed suction pressure data and calculating variation coefficients, the system enables cavitation monitoring without requiring the facility to provide additional sensors or modifications, achieving self-service detection.
2Reliability
If multiple sensors are installed for cavitation detection, then detection reliability is improved, but ease of operation worsens due to facility changes
Solution Approach 1:
The invention enables the existing suction pressure measurement system to perform cavitation detection automatically through variation coefficient calculation. This self-service approach maintains high detection reliability by using actual operational data while preserving operational simplicity, as no additional sensors, installations, or complex procedures are required.
3Measurement precision
If existing facilities are modified to attach sensors, then measurement precision is improved, but ease of manufacture and installation worsen
Solution Approach 1:
The invention extracts the cavitation detection capability from complex sensor installation requirements and achieves it through software-based variation coefficient calculation on existing suction pressure data. This approach maintains measurement precision while completely eliminating the need for facility modifications, sensor attachments, or complex manufacturing changes.
Solution Approach 2:
Instead of physically copying sensor installations, the system creates a virtual model of cavitation detection by calculating variation coefficients from existing pressure data. This computational copying approach achieves accurate detection without physical modifications to the pump or piping system.
Data Source
AI summary
A detection apparatus includes a suction pressure acquirer configured to acquire suction pressure data indicating suction pressure of a pump, and a detector configured to detect occurrence of cavitation in the pump based on a variation coefficient of the suction pressure data during a detection target period.