Adaptive Hash Chip Frequency Configuration for Mining Efficiency
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Solution Overview
Problem
In virtual currency mining machines, setting a fixed frequency for hash chips across different positions leads to inefficient utilization of computing power due to temperature and voltage differences, resulting in wasted computing capacity.
Innovation Solution
A method to determine optimal configuration parameters, such as hash chip frequency, hashboard temperature, and power supply voltage, through model training using dedicated operating parameter data sets, to achieve adaptive learning and maximize computing power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a same frequency is set for the hash chips in different positions, then the operation is simplified and device complexity is reduced, but the capabilities of most hash chips cannot be fully utilized, resulting in waste of computing power
Solution Approach 1:
The patent applies local quality by determining different frequency points for hash chips at different positions based on their specific temperature and voltage characteristics. Each hash chip receives a customized frequency configuration that matches its local operating conditions, thereby fully utilizing the computing capabilities of individual chips while accounting for position-specific environmental differences.
Solution Approach 2:
The patent implements dynamics by enabling the frequency configuration to be dynamically adjusted based on real-time temperature and voltage measurements. The system continuously monitors operating conditions and updates frequency points accordingly, transforming the static fixed-frequency approach into a dynamic adaptive configuration system that responds to changing environmental conditions.
2Productivity
If different frequency points are determined for hash chips according to different temperatures and voltages, then computing power utilization is improved, but the complexity of configuration and control increases
Solution Approach 1:
The patent applies self-service by implementing an automated system that autonomously determines optimal frequency points based on measured temperature and voltage values. The control unit automatically performs the configuration adjustments without requiring manual intervention, thereby reducing the operational complexity despite the increased sophistication of the configuration strategy.
Solution Approach 2:
The patent implements feedback by establishing a closed-loop control system that continuously monitors temperature and voltage conditions and uses this information to adjust frequency configurations. The system measures operating parameters, compares them against optimal ranges, and automatically adjusts frequency points to maintain optimal computing power utilization, thereby managing complexity through systematic feedback mechanisms.
Data Source
AI summary
Disclosed is a method for determining configuration parameters of a data processing device, including: operating the data processing device by using configuration parameters, which are universal optimization configuration parameters obtained according to a universal operating parameter model; during the operating process, changing the configuration parameters to obtain a dedicated operating parameter data set, which includes a plurality of groups of operating parameters, each of which includes configuration parameters and capability parameters of the data processing device when the data processing device is operating under the configuration parameters; executing model training by using the dedicated operating parameter data set to obtain a dedicated operating parameter model; and obtaining optimal configuration parameters according to the dedicated operating parameter model, and operating the data processing device according to the optimal configuration parameters, where the optimal configuration parameters are configuration parameters corresponding to optimal capability parameters in the dedicated operating parameter data set.