Blockchain Chip Frequency Control for Temperature-Voltage Stability
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Solution Overview
Problem
Existing blockchain server technologies lack an optimization mechanism to adjust chip frequencies in response to changes in temperature and voltage, leading to decreased computing power ratios and stability issues.
Innovation Solution
A method and apparatus for adjusting chip frequencies based on real-time comparisons with reference values for computing power, temperature, and voltage, and compensating with computing power compensation chips to maintain stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chip frequency is increased to improve computing power, then productivity increases, but temperature and voltage instability occur leading to decreased reliability
Solution Approach 1:
The patent implements dynamic frequency adjustment by continuously monitoring temperature and voltage parameters and adjusting chip frequency in real-time based on current operating conditions. This replaces static frequency settings with adaptive control, allowing the system to optimize computing power while maintaining stability thresholds.
Solution Approach 2:
The system establishes a feedback loop where temperature and voltage sensors continuously monitor chip parameters, compare them against reference values, and trigger frequency adjustments when deviations are detected. This closed-loop control ensures the system responds to changing conditions and maintains reliable operation.
2Reliability
If chip frequency is decreased to improve stability, then reliability increases, but computing power ratio decreases leading to reduced productivity
Solution Approach 1:
The system dynamically adjusts frequency based on actual operating conditions rather than using a fixed low frequency setting. When temperature and voltage are within acceptable ranges, the system maintains higher frequencies for optimal performance, only reducing frequency when stability thresholds are approached.
Solution Approach 2:
The patent changes the operating frequency parameter adaptively based on monitored temperature and voltage parameters. Instead of maintaining a constant conservative frequency, the system modifies the frequency parameter in response to changing environmental and operational conditions, optimizing the balance between performance and stability.
3Reliability
If real-time monitoring of computing power ratio, temperature, and voltage is implemented, then reliability is improved through timely detection, but device complexity increases
Solution Approach 1:
The monitoring system serves multiple functions simultaneously: it tracks temperature, voltage, and computing power ratio using the same hardware infrastructure and control logic. This multi-functional approach consolidates what could be separate complex systems into a unified monitoring and control mechanism.
Solution Approach 2:
The system performs self-diagnosis and self-adjustment by automatically comparing monitored parameters against reference values and triggering frequency adjustments without external intervention. This autonomous operation reduces the need for complex external control mechanisms and manual monitoring.
Data Source
AI summary
Embodiments of this application provide a chip frequency control method and apparatus, a blockchain server, and a storage medium. The method includes: determining a real-time computing power ratio of a chip of a blockchain server, a real-time temperature of the chip, and a real-time voltage of the chip; and adjusting a setting frequency of the chip based on a first comparison result of the real-time computing power ratio with a reference computing power ratio of the chip, a second comparison result of the real-time temperature with a reference temperature of the chip, and a third comparison result of the real-time voltage with a reference voltage of the chip, wherein the reference computing power ratio, the reference temperature, and the reference voltage are determined when the blockchain server undergoes a frequency rising phase after start-up and enters a working status. When an exception occurs in the chip, timely and appropriate response can improve stability of the blockchain server.


