Temperature Sensor Calibration for Data System Thermal Startup
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Solution Overview
Problem
Data processing systems face limitations in operating conditions due to transient thermal effects, which can impair the accuracy of temperature measurements and hinder the ability of hardware components to operate within their thermal operating limits.
Innovation Solution
The implementation of a thermal management subsystem that includes a heater, a temperature sensor, and a thermal manager. The thermal manager performs a calibration process to mitigate transient thermal effects, allowing for accurate temperature measurements and proactive warming of temperature-sensitive hardware components to meet thermal operating limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a temperature sensor is used to measure ambient temperature in a data processing system, then temperature measurement is enabled, but transient thermal effects from heating components cause measurement inaccuracy
Solution Approach 1:
The system performs a calibration process before normal temperature measurement to eliminate transient thermal effects. The calibration routine is executed in advance (at system startup or before critical measurements) to establish accurate baseline temperature readings, ensuring that subsequent measurements are not affected by thermal transients from heating components.
Solution Approach 2:
The system proactively counteracts transient thermal effects by implementing a calibration routine that compensates for thermal interference before it affects measurement accuracy. The calibration process actively identifies and corrects for thermal offsets caused by heating components, preventing measurement errors rather than correcting them after they occur.
2Reliability
If hardware components operate without proactive thermal management, then device complexity is reduced, but hardware components may fail to meet thermal operating limits under certain environmental conditions
Solution Approach 1:
The thermal management subsystem monitors its own thermal state and automatically adjusts heating element operation to maintain components within operating limits. The system self-regulates by detecting temperature conditions and activating or deactivating heating elements as needed, without requiring external thermal management infrastructure.
Solution Approach 2:
The system proactively warms temperature-sensitive hardware components before they are needed for operation, ensuring they meet minimum thermal operating limits even in cold environmental conditions. This preliminary heating action prevents startup failures and ensures reliable operation from the beginning of the operational cycle.
3Measurement precision
If the system performs calibration to eliminate transient thermal effects, then temperature measurement accuracy improves, but system startup time and operational time are increased
Solution Approach 1:
The calibration process is performed partially or selectively rather than continuously. The system executes calibration at strategic moments (system startup, after heating events, or before critical temperature-dependent operations) rather than constantly, achieving sufficient measurement accuracy without the time penalty of continuous calibration.
Solution Approach 2:
The calibration routine is executed periodically at predetermined intervals or under specific conditions (such as after heating element activation or at system startup) rather than continuously. This periodic approach maintains measurement accuracy while minimizing the total time spent in calibration mode.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables data processing systems to operate effectively under a wider range of environmental conditions by accurately measuring ambient temperatures and proactively managing the thermal state of hardware components, thereby ensuring reliable computer-implemented services.
Implementation Method 1
a heater positioned to, while powered, selectively warm a flow of a gas directed to warm a temperature sensitive hardware component
Implementation Method 2
a fan adapted to selectively generate the flow of the gas
Implementation Method 3
a temperature sensor positioned to identify an ambient temperature
Data Source
AI summary
Methods and systems for managing the operation of data processing systems are disclosed. A data processing system may include a computing device that may provide computer implemented services. To provide the computer implemented services, hardware components of the data processing system may need to operate in predetermined manners. To manage the operation of the hardware components, the data processing system may heat them when their temperatures fall outside of thermal operating ranges. To mitigate some risk associated with heating, the data processing system may proactively calibrate temperature sensors used to guide the heating process.