Sniffer Probe Leak Testing With Real-Time Parameter Verification
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Solution Overview
Problem
Current leak detection methods are often random, unreliable, and inconsistent, leading to missed detections and reduced accuracy in identifying leaks, particularly in products containing refrigerants.
Innovation Solution
A computer-implemented system with a sniffer probe, sensor unit, scanner, and processor unit that monitors leak detection parameters in real time, using predefined threshold values to ensure accurate leak testing by comparing target and monitored data to output confirmation or warning indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional random leak detection methods are used, then the testing process is simple, but the detection reliability and accuracy deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple testing points on the test object before actual leak detection. The processor stores coordinates and parameters for each testing point, and the sniffer probe automatically navigates to these predetermined locations. This preliminary structuring of testing points transforms random detection into systematic coverage, improving reliability without requiring complex real-time decision-making during testing.
Solution Approach 2:
The system implements feedback mechanisms where the processor continuously monitors the sniffer probe's position, compares it against target testing point coordinates, and adjusts the probe's path accordingly. The system also provides feedback on detection results, confirming whether leaks were found at each testing point. This closed-loop feedback ensures complete coverage of all testing points and improves detection reliability through systematic verification.
2Measurement precision
If systematic leak detection with multiple testing points is implemented, then detection accuracy improves, but the time required for testing increases
Solution Approach 1:
The system resolves this contradiction by pre-defining optimized testing point locations and their coordinates before testing begins. The processor stores the optimal path and parameters for visiting multiple testing points. This preliminary planning allows the system to systematically cover all necessary testing locations for high accuracy while following an efficient predetermined route that minimizes total testing time.
Solution Approach 2:
The system dynamically adjusts the sniffer probe's movement between testing points based on real-time position feedback. The processor calculates optimal paths between multiple testing points, adjusting the probe's trajectory to minimize travel time while ensuring complete coverage. This dynamic path optimization allows the system to maintain high detection accuracy across multiple points without excessive time loss.
3Stability of the object's composition
If manual leak detection without systematic approach is used, then the equipment complexity is low, but the consistency and completeness of detection deteriorate
Solution Approach 1:
The system segments the leak detection process into discrete, manageable testing points, each with predefined coordinates and parameters. Instead of treating leak detection as a single random operation, the system divides it into multiple structured steps where the probe visits specific locations in sequence. This segmentation ensures consistent coverage of all critical areas while maintaining a relatively simple overall system structure.
Solution Approach 2:
The system achieves detection consistency through self-service automation. The processor automatically manages the testing sequence, navigates the probe to each testing point, and records results without requiring manual intervention. This automated self-service approach eliminates human variability and ensures consistent detection procedures while keeping the system structure relatively simple through centralized control logic.
Data Source
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AI summary
Systems, computer-implemented methods and related aspects for leak detection testing are disclosed. The system for a leak detection test comprises a leak detector unit comprising a sniffer probe and is configured for leak testing a test object by sniffing a testing point of the test object. The system further comprises a sensor unit configured to monitor a set of parameters of the leak detection test in real time. The system further comprises a scanner for scanning the test object. The system further comprises a processor unit configured to receive object identification data of the test object by scanning the test object thereby identifying the test object, receive a first set of leak test data for the identified test object, the first set of leak test data comprising information about a target set of process parameters for the leak detection test of the testing point, receive a second set of leak test data by the sensor unit of the leak detector system, the second set of leak test data representing a set of monitoring parameters obtained by the sensor unit in real time during the leak detection test of the testing point, and output a signal indicative of a status of the leak detection test based on a difference level between the first set of leak test data and the second set of leak test data.