Sniffer Probe Receiver for Automated Leak Detection Calibration
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Solution Overview
Problem
Existing leak detection methods face challenges in accurately calibrating leak detectors and interpreting measurement signals, particularly when dealing with different types of test specimens and gas-related peculiarities, which can lead to errors and confusion.
Innovation Solution
A leak detection device equipped with a hand-guided or robot-guided sniffer probe that includes a receiver to retrieve first data from the test specimen, containing important properties for signal evaluation, and a second memory to store associated information for accurate signal interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of test specimen parameters is used during calibration, then the operator can input leak rate and gas type information, but errors and confusion occur due to gas type peculiarities and manual entry mistakes
Solution Approach 1:
The test specimen itself provides the calibration data through machine-readable codes (barcodes, data matrices, RFID tags) attached to or embedded in the specimen. The system automatically reads and uses this information without requiring manual operator input, making the system self-calibrating and eliminating human error in data entry.
Solution Approach 2:
The manual mechanical process of typing parameters into the device is replaced by an automated optical or electromagnetic reading system that scans and retrieves calibration data from machine-readable codes on the test specimen, substituting human operation with automated recognition technology.
2Adaptability or versatility
If different types of test specimens are examined with unknown leak sizes, then the system can handle diverse applications, but the measurement signal evaluation becomes complex and requires additional specimen property information
Solution Approach 1:
The necessary test specimen information (leak size, gas type, temperature, age) is pre-encoded in machine-readable form on each specimen before testing. This preliminary preparation allows the system to automatically retrieve and apply the correct evaluation parameters without requiring complex real-time analysis or operator knowledge about the specific specimen being tested.
Solution Approach 2:
A single universal system handles diverse test specimens by reading their individual identification codes and automatically adjusting evaluation parameters. The same device can evaluate different specimen types (cooling devices, pressure vessels, pipes) with varying properties by retrieving specimen-specific data from machine-readable codes, making the system universally applicable without requiring multiple specialized devices.
3Ease of operation
If test specimen information is stored in machine-readable form, then automatic data retrieval is enabled, but additional components (receivers, memory devices) are required
Solution Approach 1:
Machine-readable codes (barcodes, data matrices, RFID tags) serve as intermediaries that store and transmit test specimen information. These codes act as a bridge between the physical test specimen and the electronic evaluation system, enabling automatic data retrieval without requiring complex direct communication interfaces between the specimen and the detector.
Data Source
AI summary
In a leak detection device (10) comprising a gas detector and a guided sniffer probe (12) connected to the gas detector in a gas-conducting manner, it is provided that the sniffer probe (12) is provided with a receiver (18) configured to receive first data provided on a test specimen (28) or transmitted by a test specimen (28) with first information on properties of the test specimen (28) which are relevant for leak detection with the gas detector.