Stable-temperature power self-optimization method and system, computer equipment and storage medium

Abstract

The invention provides a stable-temperature power self-optimization method and system, computer equipment and a storage medium. The stable-temperature power self-optimization method comprises the steps that S1, stable-temperature basic data in the seeding process is acquired; s2, analyzing the basic data, and finding out an optimal seeding pulling speed range; s3, establishing an optimal seeding power model according to the basic data through a logical algorithm, wherein the optimal seeding power model obtains an optimal seeding power set value according to the characteristics of each single crystal furnace; and S4, carrying out self-optimization correction on next seeding by the optimal seeding power model according to the stable temperature condition of the single crystal furnace. The method has the beneficial effects that the problems of low setting accuracy, unstable production, low crystal pulling production efficiency, too many human factors and relatively high crystal pulling production cost due to the fact that more field personnel carry out setting based on crystal pulling experience are effectively solved.

Description

technical field [0001] The invention belongs to the field of photovoltaic technology, and in particular relates to a temperature-stabilizing power self-optimization method, system, computer equipment and storage medium. Background technique [0002] In the production process of the single crystal furnace, the setting of the temperature stabilization power is very important. The inaccurate setting of the temperature stabilization power directly affects the temperature stabilization of the single crystal and the seeding survival rate. However, due to the many factors affecting the temperature stabilization power setting, the seeding The pulling speed is too large, the corresponding liquid surface temperature is too low, the seeding time is too short, the opening of the shoulder is too large and the growth is too fast in the early stage of the growth, and the total cooling rate in the middle and late growth stage is too small, which leads to the slow growth rate at the end stage...

AI Technical Summary

Problems solved by technology

[0003] The problem to be solved by the present invention is to provide a self-optimizing method, system, computer equipment and storage medium for stable temperature and power, which can effectively solve the problem of low setting accuracy, unstable production, The production efficiency of crystal pulling is low, and there are too many human factors, which lead to the problem of high production cost of crystal pulling

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