Fan Control via Productivity Accumulator
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Solution Overview
Problem
Existing devices that generate heat face inefficiencies in fan control, leading to increased energy consumption and costs, as traditional methods require additional components like temperature sensors to manage temperature effectively.
Innovation Solution
A method that uses empirical data to set accumulator increment and decrement rates, threshold values, and maximum values to control a fan's operation based on the device's productivity, eliminating the need for additional interfaces or sensors by tracking an accumulator value that determines when to turn the fan on or off.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a temperature sensor and thermostat are added to control fan operation, then temperature control precision is improved, but device complexity and cost increase
Solution Approach 1:
The processor itself monitors its own temperature through existing thermal sensors integrated into the processor package, eliminating the need for separate temperature monitoring components. The processor uses its own operational data (activity level, workload) to predict heat generation and control the fan accordingly, making the system self-sufficient without additional control circuitry.
Solution Approach 2:
The existing processor and its integrated thermal sensors serve multiple functions: executing computational tasks, monitoring temperature, and controlling fan operation. The fan control logic is integrated into the processor's existing control algorithms, allowing the same hardware to perform both processing and thermal management without dedicated temperature control components.
2Device complexity
If the fan is turned on whenever the device operates, then temperature control is simplified, but energy consumption increases
Solution Approach 1:
The fan control system dynamically adjusts its operation based on real-time processor activity levels and predicted temperature changes. Instead of static on/off control, the system continuously monitors processor workload and adjusts fan speed and timing to match actual thermal conditions, optimizing energy consumption while maintaining effective cooling.
Solution Approach 2:
The system predicts future temperature increases based on current processor activity patterns and initiates fan operation before temperatures actually rise to problematic levels. By anticipating heat generation from upcoming computational tasks, the fan can be activated proactively, preventing temperature spikes without requiring reactive high-speed operation that consumes more energy.
3Device complexity
If simple on-off fan control is used, then device cost is reduced, but cooling efficiency deteriorates
Solution Approach 1:
The system transitions from static on-off control to dynamic control that continuously adapts to changing processor workload and thermal conditions. The fan operation is modulated based on real-time predictions of heat generation, allowing optimal cooling performance across varying operational scenarios without requiring complex additional hardware.
Solution Approach 2:
The system uses feedback from processor activity monitoring and integrated thermal sensors to continuously adjust fan control decisions. By incorporating real-time data about actual processor workload and temperature trends, the control algorithm optimizes fan operation to maintain effective cooling while minimizing energy consumption, achieving high cooling efficiency with simple control logic.
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 approach allows for efficient temperature control within devices without additional components, reducing energy consumption and costs while maintaining effective cooling, as demonstrated in the context of a printer where the fan is controlled based on productivity.
Implementation Method 1
Some devices incorporate fans to move the heat externally
Implementation Method 2
tracks an accumulator value up to the accumulator value maximum based upon productivity of the device
Data Source
AI summary
A method, non-transitory computer readable medium, and apparatus for cooling a device are disclosed. For example, the method sets at least one accumulator increment rate, an accumulator decrement rate, at least one threshold value, and an accumulator value maximum based on empirical data associated with the device, tracks an accumulator value up to the accumulator value maximum based upon productivity of the device, wherein the accumulator value is adjusted based on an integral of the at least one accumulator increment rate and the accumulator decrement rate and operates a fan of the device based upon the accumulator value rising above the threshold value or falling below the threshold value.