Automated Self-Test for Thermal Processing Systems
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Solution Overview
Problem
Human intervention in testing thermal processing systems is prone to errors and increases costs, as it requires setting inputs to a known state and monitoring outputs, which can lead to misinterpretation of sensor readings, affecting efficiency and safety.
Innovation Solution
An automated self-test method and system that includes a switch module for receiving a signal to execute the test, a test module for executing self-test instructions on subsystems such as power, gas, and coolant supplies, and a report module for processing data from sensors and generating reports, reducing the need for human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual testing methods are used with human interaction to set inputs and monitor outputs, then testing can be performed with simple equipment, but errors and misinterpretation increase and reliability decreases
Solution Approach 1:
The thermal processing system performs self-testing through automated test modules that execute test sequences, collect sensor data, and generate reports without requiring external technician intervention. The system sets inputs to known states automatically and monitors outputs through integrated sensors, eliminating human error while maintaining testing effectiveness.
Solution Approach 2:
The automated testing system incorporates feedback mechanisms where sensor readings are automatically collected during test execution, processed by the control module, and used to determine test results. The system compares actual sensor values against expected values and generates pass/fail determinations, ensuring accurate and reliable testing outcomes.
2Reliability
If automated self-testing is implemented to reduce human interaction and errors, then reliability and safety improve, but device complexity increases
Solution Approach 1:
The control module serves multiple functions: it controls the thermal processing operations, executes automated test sequences, collects sensor data, processes test results, and generates reports. By consolidating these functions into a single multi-functional module, the system achieves high reliability through automation without proportionally increasing overall system complexity.
Solution Approach 2:
The testing functionality is merged with the existing control system of the thermal processing equipment. The test modules are integrated into the control module, which already manages the thermal processing operations. This integration allows the system to perform both processing and self-testing without requiring entirely separate automated testing equipment.
3Ease of manufacture
If manual testing procedures are used, then equipment cost is lower, but total cost of ownership increases due to errors and downtime
Solution Approach 1:
The automated testing system performs preliminary self-diagnostics and health checks that detect potential failures before they cause system downtime. By continuously monitoring system status and executing test sequences, the system identifies issues early when they can be addressed with minimal impact on operations, reducing overall downtime and associated costs.
Data Source
AI summary
Described are computer-based methods and apparatuses for automated self test for a thermal processing system. A signal to execute the automated self test is received. The automated self test is executed. The execution includes executing one or more self test instructions for the one or more subsystems of the system. Data can be received from sensors associated with the subsystems. The data can be analyzed to determine the results of the automated self test for the thermal processing system.