A crystal growth fluctuation buffer control method, system, device and medium

Abstract

This application relates to a method, system, device, and medium for controlling crystal growth fluctuations, belonging to the field of crystal growth equipment control technology. The method includes: acquiring real-time output power and input voltage signals from a digital inductive power supply; identifying abnormal fluctuations in output power based on the input voltage and extracting abnormal fluctuation power data; calculating target water flow velocity adjustment data based on abnormal energy and heat balance mapping, and converting it into a target driving voltage; determining whether the target voltage exceeds a safety threshold; if it does, clamping it to the threshold and extending the time; otherwise, using it directly; and outputting a driving signal to the electrodes according to the final voltage and time, fine-tuning the primary buffer cooling water flow rate before it flows into the induction coil. This application utilizes electromagnetic fine-tuning of the cooling water flow rate to accurately counteract the interference of inductive power supply power fluctuations on the crystal growth environment, improving the energy stability of the crystal growth process and ensuring crystal quality.

Description

Technical Field

[0001] This application relates to the field of crystal growth equipment control technology, and in particular to a crystal growth fluctuation buffer control method, system, equipment and medium. Background Technology

[0002] As artificial crystals gain increasing strategic importance in fields such as lasers, semiconductors, and optical devices, their growth process places almost stringent requirements on the stability of the temperature field. Crystals need to achieve atomic ordering through slow crystallization in a constant temperature environment slightly above the melting point. Any tiny energy fluctuation may induce lattice defects, impurity segregation, or growth interface instability, ultimately severely degrading the optical uniformity, mechanical strength, and electrical properties of the crystal.

[0003] Currently, induction heating-based crystal growth furnaces are the mainstream equipment for crystal preparation. They use a digital induction power supply to provide alternating current to the induction coil, utilizing the electromagnetic induction effect to efficiently generate heat in the raw materials. Simultaneously, a cooling water system removes excess heat from the coil and furnace chamber, maintaining thermal balance within the furnace. In this process, the output power of the induction power supply directly determines the accuracy of the heating energy supply, while the stability of the cooling water temperature and pressure affects the efficiency of heat dissipation. These two factors together constitute the core control elements of the crystal growth environment, and their synergistic stability directly affects the quality of the crystal.

[0004] However, with the widespread adoption of new energy grid connection and distributed energy applications, the power supply systems of crystal growth furnaces often incorporate photovoltaic and energy storage devices to enhance energy flexibility. This, however, exacerbates the frequency and intensity of instantaneous grid fluctuations and UPS switching during power outages. Existing cooling water systems largely rely on traditional feedback control to regulate water temperature and pressure, leading to continuous oscillations within a certain range. Furthermore, instantaneous pressure loss is prone to occur during power outages or switching, creating pulse-like shocks to the growth environment. Simultaneously, the power control of the inductive power supply is based on a feedback mechanism; external voltage fluctuations or switching shocks can trigger high-frequency abrupt changes in output power, which cannot be promptly mitigated through conventional feedback. Moreover, existing control schemes struggle to accurately offset the impact of fluctuations on the growth environment, resulting in persistent instability in energy input during crystal growth, becoming a key bottleneck restricting the improvement of yield for high-end crystal products. Summary of the Invention

[0005] To address the aforementioned technical problems, this application provides a method, system, device, and medium for controlling crystal growth fluctuations.

[0006] In a first aspect, this application provides a method for buffering and controlling crystal growth fluctuations, employing the following technical solution: A crystal growth fluctuation buffering control method is applied to a crystal growth fluctuation buffering device. The device includes a controller, a digital inductive power supply, a sealed buffer insulated water tank, a cooling water pipeline, a strong magnetic field region, electrodes, and an induction coil of a crystal growth furnace. The digital inductive power supply provides heating energy to the induction coil of the crystal growth furnace. The sealed buffer insulated water tank is used to smooth the temperature and pressure of the input cooling water and output primary buffer cooling water. The primary buffer cooling water flows sequentially along the cooling water pipeline through the strong magnetic field region and the induction coil to remove heat. The electrodes are disposed within the strong magnetic field region. The control method is executed by the controller and includes: The real-time output power signal and real-time input voltage signal of the digital inductive power supply are acquired; Based on the real-time input voltage signal, the real-time output power signal is anomaly identified. When an instantaneous fluctuation in the input voltage is detected and a short-term change in the output power is synchronously generated, it is determined to be an abnormal power fluctuation, and the abnormal power fluctuation data corresponding to the abnormal power fluctuation is extracted. Based on the abnormal fluctuation power data and the preset heat balance mapping relationship, the target water flow velocity adjustment data for offsetting the abnormal fluctuation power data is calculated, and the target water flow velocity adjustment data is converted into target driving voltage data. Determine whether the target driving voltage data is greater than a preset safe voltage threshold; if so, clamp the actual applied execution voltage data to the safe voltage threshold and extend the corresponding action time data to generate the final execution voltage data and the corresponding final execution time data; if not, directly use the target driving voltage data and the corresponding action time data as the final execution voltage data and the final execution time data. Based on the final execution voltage data and the final execution time data, a drive electrical signal is output to the electrode to fine-tune the flow rate of the primary buffer cooling water flowing through the cooling water pipeline through the strong magnetic field region, so that the finely adjusted cooling water flows into the induction coil of the crystal growth furnace.

[0007] By adopting the above technical solutions, the interference problems caused by fluctuations in the cooling water system and the power of the induction power supply during crystal growth are reduced. The sealed buffer insulated water tank utilizes the thermal inertia of water and the elasticity of air to smooth out the initial fluctuations in water temperature and pressure; the controller, through real-time data acquisition, anomaly identification, heat balance calculation, and safety control, precisely adjusts the cooling water flow rate via electromagnetic fine-tuning to offset the impact of power fluctuations on the crystal growth environment. Ultimately, the energy input of the crystal growth furnace tends to stabilize, significantly improving the stability of the crystal growth process and the crystal quality.

[0008] Optionally, the device further includes a low-resistance, high-precision water flow meter pre-connected to the cooling water pipeline; before performing the step of acquiring the real-time output power signal and real-time input voltage signal of the digital inductive power supply, the control method further includes: The initial water flow velocity data collected by the low-resistance high-precision water flow meter is acquired, and the calibration test voltage data of known value is output to the electrode. Acquire the changed water flow velocity data collected by the low-resistance high-precision water flow meter during the output of the calibration test voltage data; Based on the calibration test voltage data, the initial water flow velocity data, and the changed water flow velocity data, the transfer coefficient data between the driving voltage and the water flow velocity is calculated and stored. After receiving a confirmation signal that the low-resistance, high-precision water flow meter has been removed from the cooling water pipeline, the transfer coefficient data is configured as the calculation reference for the step of converting the target water flow velocity adjustment data into target drive voltage data.

[0009] By adopting the above technical solution, a precise quantitative relationship between the driving voltage and the water flow velocity was established, ensuring the accuracy of subsequent electromagnetic fine-tuning. At the same time, by utilizing the low resistance characteristics of the low-resistance, high-precision water flow meter, interference with the original flow velocity in the pipeline during the calibration process was avoided, and the removal of the meter did not affect the normal operation of the system.

[0010] Optionally, the step of calculating the target water flow velocity adjustment data to offset the abnormal power fluctuation data based on the abnormal power fluctuation data and the preset heat balance mapping relationship includes: Obtain the specific heat capacity constant, inlet and outlet water temperature difference constant, and density constant of the input cooling water, and calculate the product to obtain the heat conversion coefficient constant; Obtain a preset slight deficit correction coefficient, wherein the slight deficit correction coefficient is a constant less than 1; Multiply the abnormal fluctuation power data by the slight deficit correction coefficient to obtain the target heat offset data; The target heat offset data is divided by the heat conversion coefficient constant to obtain the target water flow velocity regulation data.

[0011] By employing the above technical solution, a precise mapping between power fluctuations and water flow rate regulation was achieved. Utilizing the constant characteristics of specific heat capacity, temperature difference, and density, a stable "flow rate-heat" relationship was established, ensuring the accuracy of regulation. A slight deficit correction coefficient was used to avoid the risk of over-regulation and improve system stability. Ultimately, the target water flow rate regulation data serves as the input for subsequent conversion into drive voltage data, providing a precise command basis for electromagnetic fine-tuning of the cooling water flow rate. This effectively counteracts the interference of induced power supply fluctuations on the crystal growth environment, ensuring crystal quality.

[0012] Optionally, the step of converting the target water flow velocity regulation data into target drive voltage data includes: Retrieve the stored transfer coefficient data; The target driving voltage data is calculated by dividing the target water flow velocity adjustment data by the transmission coefficient data.

[0013] By adopting the above technical solution, a precise mapping between flow rate regulation requirements and voltage control commands is achieved. The transfer coefficient ensures the accuracy of the conversion (the transfer coefficient may differ between different systems and must be obtained and stored through calibration). Using division operations and proportional relationships, the abstract flow rate regulation requirements are transformed into executable voltage commands, making the process of electromagnetically fine-tuning the cooling water flow rate operable. Finally, the target driving voltage data serves as the input to the subsequent output driving electrical signal, laying the foundation for the controller to accurately control the electrode voltage and balance power fluctuations, thereby effectively improving the stability of the crystal growth process.

[0014] Optionally, the steps to extend the corresponding action time data and generate the corresponding final execution time data include: Obtain the original fluctuation time data corresponding to the calculation of the abnormal fluctuation power data; The product of the target driving voltage data and the original fluctuation time data is divided by the safe voltage threshold to calculate the extended action time data, which is then used as the final execution time data.

[0015] By adopting the above technical solution, a balance between safe voltage clamping and energy conservation is achieved. The original fluctuation time data serves as a necessary parameter for energy calculation, ensuring the targeted nature of time compensation (based on the duration of specific power fluctuations). Through division operations utilizing the principle of energy conservation, the energy loss after voltage clamping is compensated for by extending the time, ensuring that the adjustment effect of the electromagnetic fine-tuning is not affected by voltage limitations. The final execution time data serves as the time parameter for the subsequent output drive signal, laying the foundation for the controller to accurately control the duration of the electrode voltage's action. Thus, while ensuring safety, it effectively counteracts the interference of power fluctuations on the crystal growth environment, improving the stability of the crystal growth process.

[0016] Optionally, the apparatus further includes a gas trap located downstream of the strong magnetic field region and upstream of the induction coil of the crystal growth furnace. After the step of outputting a drive electrical signal to the electrode based on the final execution voltage data and the final execution time data, the method further includes: The exhaust passage of the gas trap is opened so that, during the output of the drive electrical signal, the gas generated by electrolyzing the primary buffer cooling water based on the drive electrical signal is transferred to the air space at the top of the sealed buffer insulation water tank. A termination signal indicating the completion of crystal growth is obtained, and the exhaust valve located on the top of the sealed buffer insulated water tank is opened according to the termination signal to discharge the gas in the air space to the outside.

[0017] By adopting the above technical solution, safe handling of electrolytic gas was achieved. The synergy between the gas collection tank and the exhaust passage solved the problem of collecting electrolytic gas during electromagnetic fine-tuning, preventing gas accumulation in the cooling system. The exhaust operation after growth removes residual gas, ensuring the sealing of the closed buffer insulated water tank and the stability of subsequent operations. Ultimately, this design ensures that electrolytic gas does not negatively impact the cooling system or crystal growth environment during crystal growth, improving the safety and reliability of the entire control method.

[0018] Optionally, the value of the slight loss correction coefficient ranges from 0.8 to 0.9.

[0019] Secondly, this application provides a crystal growth fluctuation buffer control system, which adopts the following technical solution: The power data acquisition module is used to acquire the real-time output power signal and real-time input voltage signal of the digital inductive power supply; An abnormal fluctuation identification module is used to identify anomalies in the real-time output power signal based on the real-time input voltage signal. When an instantaneous fluctuation in the input voltage is detected and a short-term change in the output power is generated synchronously, it is determined to be an abnormal power fluctuation, and the abnormal fluctuation power data corresponding to the abnormal power fluctuation is extracted. The target voltage calculation module is used to calculate the target water flow velocity adjustment data to offset the abnormal fluctuation power data based on the abnormal fluctuation power data and the preset heat balance mapping relationship, and convert the target water flow velocity adjustment data into target driving voltage data. The drive voltage limiting module is used to determine whether the target drive voltage data is greater than a preset safe voltage threshold. If so, the actual applied execution voltage data is clamped to the safe voltage threshold, and the corresponding action time data is extended to generate the final execution voltage data and the corresponding final execution time data. If not, the target drive voltage data and the corresponding action time data are directly used as the final execution voltage data and the final execution time data. The electromagnetic fine-tuning execution module is used to output a drive electrical signal to the electrode based on the final execution voltage data and the final execution time data, so as to fine-tune the flow rate of the primary buffer cooling water flowing through the cooling water pipeline through the strong magnetic field region, so that the fine-tuned cooling water flows into the induction coil of the crystal growth furnace.

[0020] Thirdly, this application provides a computer device, which adopts the following technical solution: A computer device includes a memory, a processor, and a computer program stored in the memory, the processor executing the computer program to perform the steps of the method as described in the first aspect.

[0021] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing a computer program that can be loaded by a processor and executed as in any of the methods in the first aspect. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the structure of a crystal growth fluctuation buffer device according to one embodiment of this application.

[0023] Figure 2 This is a schematic diagram of the first process of a crystal growth fluctuation buffer control method according to one embodiment of this application.

[0024] Figure 3 This is a schematic diagram of the second process of a crystal growth fluctuation buffering control method according to one embodiment of this application.

[0025] Figure 4 This is a schematic diagram of the third process of a crystal growth fluctuation buffer control method according to one embodiment of this application.

[0026] Figure 5 This is a schematic diagram of the fourth process of a crystal growth fluctuation buffer control method according to one embodiment of this application.

[0027] Figure 6 This is a schematic diagram of the fifth process of a crystal growth fluctuation buffer control method according to one embodiment of this application.

[0028] Figure 7 This is a schematic diagram of the sixth process of a crystal growth fluctuation buffer control method according to one embodiment of this application. Detailed Implementation

[0029] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1-7The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0030] Reference Figure 1 This application first discloses a crystal growth fluctuation buffer device, which specifically includes a controller, a digital induction power supply, a sealed buffer insulated water tank, a cooling water pipeline, a strong magnetic field region, electrodes, an induction coil of a crystal growth furnace, and a gas trap. The digital induction power supply is used to provide heating power to the induction coil of the crystal growth furnace. The sealed buffer insulated water tank is used to smooth the water temperature and pressure of the input cooling water and output primary buffer cooling water. The primary buffer cooling water flows sequentially through the strong magnetic field region and the induction coil along the cooling water pipeline to remove heat. The electrodes are set in the strong magnetic field region.

[0031] First, the sealed, insulated buffer water tank serves as a pretreatment unit for the cooling water. Its inlet is connected to the water supply system to receive the incoming cooling water. Inside the tank, thermal inertia and an air buffer structure (such as a pre-reserved air space at the top or internal partitions) gently process the temperature and pressure of the cooling water, eliminating instantaneous fluctuations in the supply water and outputting stable primary buffer cooling water. The outlet of this tank is connected to subsequent components via cooling water piping, ensuring that the cooling water flows along a predetermined path.

[0032] Secondly, the cooling water pipeline provides a transmission channel for the cooling water. Its upstream end connects to the outlet of a sealed, insulated water tank, and its downstream end connects in series with the strong magnetic field region, the gas collection tank, and the induction coil of the crystal growth furnace. As the cooling water flows along the pipeline, it first passes through the strong magnetic field region (which generates a constant magnetic field using permanent magnets or electromagnets, and has internal electrodes to regulate the water flow speed through electromagnetic induction); then it flows through the gas collection tank, located downstream of the strong magnetic field region and upstream of the induction coil, to capture electrolytic gases that may be generated by the cooling water during the electromagnetic drive process; finally, it flows through the induction coil of the crystal growth furnace, carrying away the heat generated by the induction coil and thus controlling the temperature of the crystal growth furnace.

[0033] Next, the digital induction power supply serves as the heating energy source for the crystal growth furnace. Its output is connected to the induction coil of the crystal growth furnace, providing heating energy to the induction coil. Simultaneously, it outputs real-time power signals and real-time input voltage signals to the controller via a bus interface, providing the data basis for the control algorithm. The induction coil, as the heating component of the crystal growth furnace, is wound around the outside of the furnace and converts electrical energy into heat energy through the principle of electromagnetic induction, heating the crystal inside the furnace.

[0034] Furthermore, the electrodes are positioned within a strong magnetic field region, with their two ends connected to the controller via circuitry to receive drive signals output by the controller. When the controller outputs a drive signal, the electrodes generate electromagnetic induction in the strong magnetic field, which acts on the primary buffer cooling water flowing through the cooling water pipes. By adjusting the water flow rate, the amount of heat carried away by the cooling water is altered, thereby offsetting the impact of power fluctuations in the induced power supply on the crystal growth environment.

[0035] Then, the controller, as the core of the system, connects its input to the signal output of the digital inductive power supply to collect real-time output power and input voltage signals. Its outputs are connected to the electrodes, the exhaust passage control of the gas trap, and the exhaust valve control at the top of the sealed buffer insulated water tank. The controller internally runs a control algorithm: first, it collects the real-time power signal, identifies abnormal power fluctuations, calculates the target water flow rate adjustment data, and converts it into drive voltage data; then, it determines whether the drive voltage exceeds a safety threshold; if so, it clamps and extends the action time, generating the final execution voltage and time data; finally, based on this data, it outputs a drive signal to the electrodes and simultaneously controls the exhaust passage of the gas trap to open, transferring the gas generated by electrolysis to the air space of the sealed buffer insulated water tank. After crystal growth is complete, it controls the exhaust valve to open based on a termination signal, discharging the gas from the air space.

[0036] In addition, the gas trap is connected to the air space at the top of the sealed buffer insulated water tank via an exhaust passage. This is used to transfer the gas generated during electrolysis from the cooling water pipeline to the air space of the water tank during the output of the driving electrical signal, preventing gas from accumulating in the pipeline. The exhaust valve at the top of the sealed buffer insulated water tank opens after crystal growth is completed, venting the gas in the air space to the outside, ensuring the water tank's sealing and the stability of subsequent operations.

[0037] In summary, through the aforementioned connections and functional collaboration, the various components achieve precise control of cooling water system fluctuations and power fluctuations: the sealed buffer and insulated water tank smooths out initial cooling water fluctuations, the controller uses electromagnetic fine-tuning of the cooling water flow rate to offset power fluctuations, and the gas collection tank and exhaust valve handle electrolytic gases, ultimately ensuring energy stability and crystal quality during the crystal growth process.

[0038] Based on the above-mentioned crystal growth fluctuation buffering device, this application also discloses a crystal growth fluctuation buffering control method.

[0039] Reference Figure 2 A crystal growth fluctuation buffering control method is applied to the aforementioned crystal growth fluctuation buffering device. This control method is executed by a controller and specifically includes: Step S101: Acquire the real-time output power signal and real-time input voltage signal of the digital inductive power supply; Among them, the digital induction power supply is the core power supply component of the crystal growth furnace. Its output power directly reflects the heating energy of the crystal, while its input voltage reflects the power supply stability of the power grid.

[0040] In some embodiments, the power control of the induction power supply of the crystal growth furnace is based on a feedback mechanism. However, instantaneous fluctuations in the external power grid and UPS switching impacts during power outages (especially frequent switching after the introduction of photovoltaic / energy storage) can cause instantaneous fluctuations in the input voltage, which in turn can cause high-frequency fluctuations in the actual output power of the power supply (such as fluctuations of 20~50W when the power is 25KW). These fluctuations can interfere with the crystal growth environment and affect the crystal quality.

[0041] Therefore, the controller needs to directly acquire real-time output power signals (reflecting the actual output energy of the power supply) and real-time input voltage signals (reflecting the instantaneous state of the power grid or power supply system) from the bus interface of the digital inductive power supply. The synchronous acquisition of the two is a prerequisite for subsequent identification of abnormal fluctuations. Only by clarifying whether the input voltage is abnormal and whether the output power changes synchronously can the root cause of the power fluctuation be located.

[0042] Step S102: Based on the real-time input voltage signal, perform anomaly identification on the real-time output power signal. When an instantaneous fluctuation in the input voltage is detected and a short-term change in the output power is synchronously generated, it is determined to be an abnormal power fluctuation, and the abnormal fluctuation power data corresponding to the abnormal power fluctuation is extracted. The cooling water system's temperature and pressure are based on feedback control and exhibit oscillation. However, instantaneous fluctuations in the power grid (such as UPS power outages / restorations during power failures) can cause a momentary loss of input voltage, leading to a synchronous change in output power. This combination of "instantaneous input voltage fluctuations + short-term power surges" is a hallmark of abnormal power fluctuations. Normal power changes are usually related to stable input voltage, while abnormal fluctuations originate from power grid interference.

[0043] Therefore, the controller compares the input voltage signal (to detect any instantaneous jumps outside the normal range) with the output power signal (to detect any significant increases or decreases within a short period of time). When both signals are abnormally synchronized, it is determined to be a "power abnormal fluctuation." The extracted abnormal fluctuation power data, i.e., the increase or decrease in power output energy during this short-term sudden change (wherein, the abnormal power fluctuation value can be directly read from the bus of the digital inductive power supply), is the direct basis for subsequent calculations of the energy to offset the fluctuation.

[0044] Step S103: Based on the abnormal fluctuation power data and the preset heat balance mapping relationship, calculate the target water flow velocity adjustment data to offset the abnormal fluctuation power data, and convert the target water flow velocity adjustment data into target driving voltage data. This step is a crucial control step in achieving fluctuation balance, with the core being the use of water flow velocity adjustment to offset power fluctuations. The heat dissipation power of the cooling water is calculated using the formula P = C·ΔT·V·ρ, where C is the specific heat capacity of water, ΔT is the temperature difference between the inlet and outlet water, V is the water flow velocity, and ρ is the density of water. Since C, ΔT, and ρ can be considered constants during system fine-tuning, the change in heat dissipation power dP is linearly related to the change in water flow velocity dV (dP = K·dV, K = C·ΔT·ρ, K is a heat conversion coefficient constant). The control objective is to adjust the water flow velocity to reduce the amount of heat Q carried away by the water flow. 水流 =K1·P 功率 (K1 is a slight deficit correction factor, taken as 0.8~0.9 to avoid over-correction, P) 功率 That is, abnormal fluctuation power data).

[0045] Therefore, when the output power of the inductive power supply fluctuates abnormally (energy increases or decreases by dP), it needs to be offset by adjusting the cooling water flow rate. In this embodiment, the calculation of the target water flow rate adjustment data needs to first be based on P. 目标抵消 =K1·P 功率 The amount of heat to be offset is determined, and then expressed as dV. 目标 =P 目标抵消 / K conversion yields the target water flow velocity adjustment data.

[0046] Next, the target water flow velocity adjustment data is converted into target driving voltage data. This depends on the electromagnetically driven water flow response characteristics: in a strong magnetic field (constant field of a permanent magnet), voltage is applied to the electrodes to generate current, and the conductive water is driven by electromagnetic force. The change in flow velocity is proportional to the change in driving voltage. The proportionality coefficient K2 (transfer coefficient) needs to be obtained through calibration. Therefore, the target driving voltage V... 目标 =dV 目标 / K2. This step utilizes the principle of heat balance to establish a mapping relationship between power fluctuations and water flow velocity, and transforms flow rate regulation into voltage control through electromagnetic drive characteristics, thereby achieving precise energy balance.

[0047] Step S104: Determine whether the target driving voltage data is greater than the preset safe voltage threshold; if yes, proceed to step S105; if no, proceed to step S106. Step S105: Clamp the actual applied execution voltage data to a safe voltage threshold and extend the corresponding action time data to generate the final execution voltage data and the corresponding final execution time data; Step S106: The target driving voltage data and the corresponding action time data are directly used as the final execution voltage data and the final execution time data; In this embodiment, excessively high driving voltage (e.g., exceeding 20V) can trigger water electrolysis (generating gas that interferes with the system). Therefore, a safe voltage threshold is preset (e.g., below 9V or 20V). If the target driving voltage exceeds the threshold, the execution voltage needs to be clamped to the safe threshold (limiting the maximum voltage), while compensating for energy by extending the action time.

[0048] Specifically, the power anomaly fluctuation time t1 and the electromagnetic drive time t2 must satisfy K2·dP·t2=K1·dP·t1 (K1 is a slight deficit correction coefficient, taken as 0.8-0.9), that is, the final execution time t2=(K1 / K2)·t1, to ensure total energy balance. If the target voltage does not exceed the threshold, the target voltage and its corresponding time are used directly. It can be understood that voltage clamping avoids water electrolysis, while time extension maintains energy conservation, avoiding over-correction or under-correction.

[0049] Step S107: Based on the final execution voltage data and the final execution time data, output a drive electrical signal to the electrode to finely adjust the flow rate of the primary buffer cooling water flowing through the cooling water pipeline through the strong magnetic field region, so that the finely adjusted cooling water flows into the induction coil of the crystal growth furnace.

[0050] Specifically, in a strong magnetic field region (such as a constant magnetic field generated by a permanent magnet), the cooling water is subjected to electromagnetic induction, and changes in the voltage applied to the electrodes directly affect the water flow rate. When abnormal power fluctuations cause an increase or decrease in power supply energy, the water flow rate increases or decreases synchronously (the increase or decrease in energy is balanced by the increase or decrease in heat carried away by the water flow).

[0051] Therefore, by applying the drive electrical signal (final execution voltage and final execution time) output by the controller to the electrodes, the cooling water flow rate is finely adjusted through electromagnetic induction, thereby changing the heat carried away by the cooling water and offsetting the influence of power fluctuations in the induction power supply. By utilizing the principles of electrohydrodynamics to convert the electrical signal into precise adjustment of the water flow rate, which directly acts on the cooling stage of the heat source (induction coil), fluctuation buffering can be achieved, reducing energy fluctuations in the crystal growth environment.

[0052] The above implementation reduces interference from fluctuations in the cooling water system and the induction power supply during crystal growth. The sealed, buffered, insulated water tank utilizes the thermal inertia of water and the elasticity of air to smooth out initial fluctuations in water temperature and pressure. The controller, through real-time data acquisition, anomaly detection, heat balance calculation, and safety control, precisely adjusts the cooling water flow rate via electromagnetic fine-tuning to counteract the impact of power fluctuations on the crystal growth environment. Ultimately, the energy input to the crystal growth furnace stabilizes, significantly improving the stability of the crystal growth process and the quality of the crystals.

[0053] In some embodiments, the crystal growth fluctuation buffer device further includes a low-resistance, high-precision water flow meter pre-connected to the cooling water pipeline.

[0054] Reference Figure 3 As a further implementation of the crystal growth fluctuation buffering control method, before performing the step of acquiring the real-time output power signal and real-time input voltage signal of the digital inductive power supply, the control method further includes: Step S201: Obtain the initial water flow velocity data collected by the low-resistance high-precision water flow meter, and output the known value of the calibration test voltage data to the electrode. Since the flow velocity of the cooling water pipeline is affected by the system status such as pipeline pressure and water temperature, and the initial water flow velocity data can reflect the pipeline operating status before calibration, in order to avoid errors caused by inconsistent benchmarks in subsequent calculations, a low-resistance high-precision water flow meter is pre-connected to the cooling water pipeline to collect the current water flow velocity in real time as the initial state benchmark before calibration.

[0055] In this embodiment, a known calibration test voltage data is output to the electrodes, thereby applying a controllable excitation signal to the system. When water is electromagnetically driven, the change in water flow velocity is proportional to the change in driving voltage (dV). 驱动电压 =K2·dP), therefore, by applying a known voltage, the response of the water flow velocity can be observed, thus establishing the relationship between voltage and flow velocity. The known value must meet low voltage requirements (e.g., electrode voltage below 9V) to avoid side effects such as water electrolysis.

[0056] Step S202: Obtain the changed water flow velocity data collected by the low-resistance high-precision water flow meter during the output calibration test voltage data; When the calibration test voltage is applied to the electrodes, the conductive cooling water in the strong magnetic field region is subjected to electromagnetic induction, causing a change in water flow velocity. The changed water flow velocity data collected by the low-resistance, high-precision water flow meter is the actual flow velocity after the voltage is applied, which forms a change in velocity (ΔV=V) compared to the initial flow velocity. 变化后 -V 初始 Because low-resistance, high-precision water flow meters have low resistance characteristics (i.e., the flow meter's flow resistance accounts for a very small proportion of the total flow resistance in the pipeline), their connection will not significantly change the original flow velocity in the pipeline, ensuring the accuracy of the collected data.

[0057] Step S203: Based on the calibration test voltage data, initial water flow velocity data, and changed water flow velocity data, calculate and store the transfer coefficient data between the driving voltage and the water flow velocity. In this embodiment, the transfer coefficient K2 is defined as the proportion of the change in water flow velocity caused by the change in driving voltage, and the calculation formula is: K2=ΔV / ΔU=(V 变化后 -V 初始The step transforms the fuzzy relationship of "electromagnetically driven water flow" into a precise mapping relationship of "for every unit change in voltage, the flow velocity changes by K2 units," providing a basis for subsequent conversions.

[0058] Step S204: After receiving a confirmation signal that the low-resistance high-precision water flow meter has been removed from the cooling water pipeline, the transfer coefficient data is configured as the calculation reference for the step of converting the target water flow velocity adjustment data into the target drive voltage data.

[0059] The high-precision water flow meter needs to be removed from the cooling water pipeline after calibration. This is because, although its low resistance does not affect the original flow rate in the pipeline, long-term connection may increase system complexity; and removing the flow meter has little impact on the K2 value. The removal confirmation signal ensures that the calibration process is completed completely, preventing subsequent control steps from being initiated before calibration is finished.

[0060] Subsequently, the stored transfer coefficient data is configured as the calculation benchmark, and the controller will directly call this transfer coefficient value, using formula V. 目标 =dV 目标 / K2 is converted to ensure that the voltage adjustment value in subsequent control accurately corresponds to the target flow rate.

[0061] In the above embodiments, a precise quantitative relationship between the driving voltage and the water flow velocity is established, ensuring the accuracy of subsequent electromagnetic fine-tuning; at the same time, by utilizing the low resistance characteristics of the low-resistance high-precision water flow meter, interference with the original flow velocity in the pipeline during the calibration process is avoided, and the removal does not affect the normal operation of the system.

[0062] Reference Figure 4 As one implementation of step S103, the step of calculating the target water flow velocity adjustment data to offset the abnormal power fluctuation data based on the abnormal power fluctuation data and the preset heat balance mapping relationship includes: Step S301: Obtain the specific heat capacity constant, inlet and outlet water temperature difference constant, and density constant of the input cooling water, and calculate the product to obtain the heat conversion coefficient constant; Specific heat capacity (C) is an inherent physical property of water, referring to the amount of heat required to raise the temperature of a unit mass of water by 1 K. Its value is basically constant at room temperature (e.g., the specific heat capacity of water is about 4.2 kJ / (kg·K)). The temperature difference between the inlet and outlet water (ΔT) is the temperature difference between the cooling water before it enters the induction coil and the temperature after it leaves the induction coil. Since the sealed buffer insulated water tank has smoothed out the water temperature fluctuation through thermal inertia and the system is in a fine-tuning state, the change of ΔT is extremely small and can be regarded as a constant value. Density (ρ) is the mass of water per unit volume. When the temperature change is not large (e.g., the crystal growth temperature is slightly higher than the melting point, and the cooling water temperature fluctuation is small), ρ also remains constant (about 1000 kg / m³).

[0063] Next, multiplying these three parameters yields the heat conversion coefficient constant K, which physically represents the heat change (dP) caused by a unit change in water flow velocity (dV). For example, if C = 4.2 kJ / (kg·K)), ΔT = 10 K, and ρ = 1000 kg / m³, then for every 1 m³ / s increase in water flow velocity, the cooling water can remove an additional 4.2 × 10 × 1000 = 42000 kJ of heat. This heat conversion coefficient is the core benchmark for subsequent calculations, ensuring the correspondence between flow rate adjustment and heat change.

[0064] Step S302: Obtain a preset slight deficit correction coefficient, wherein the slight deficit correction coefficient is a constant less than 1; Among them, abnormal power fluctuations may be due to measurement errors or system response delays. If the fluctuations are completely offset (i.e., the correction coefficient is 1), it may lead to over-adjustment and trigger new fluctuations. For example, if the water flow rate suddenly increases too much, it may cause the cooling water temperature to drop too quickly, affecting the stability of crystal growth.

[0065] Therefore, a slight deficit correction factor (K1<1, usually taken as 0.8-0.9) is preset to appropriately "discount" the abnormal fluctuation energy that needs to be offset, leaving a certain buffer space. For example, if the heat increase caused by abnormal power fluctuation is 50W, and the slight deficit correction factor is taken as 0.85, then the target heat offset data is 50 W × 0.85 = 42.5 W, that is, only 85% of the heat increase needs to be offset, and the remaining 15% is naturally balanced by the system to avoid over-adjustment.

[0066] Step S303: Multiply the abnormal fluctuation power data with the slight deficit correction coefficient to obtain the target heat compensation data; The abnormal power fluctuation data refers to the specific values ​​of sudden power changes in the inductive power supply, which can be directly read from the bus of the digital inductive power supply. It represents the increase or decrease in heat caused by the power fluctuation (e.g., a sudden power increase of 50W corresponds to a 50W increase in heat). By multiplying the abnormal power fluctuation data by a slight deficit correction factor, the target heat compensation data is obtained, which is the actual heat that the system needs to offset by adjusting the water flow rate. This step, through slight deficit correction, ensures the appropriateness of the adjustment, solving the fluctuation problem without causing new instability due to over-adjustment.

[0067] Step S304: Divide the target heat offset data by the heat conversion coefficient constant to obtain the target water flow velocity regulation data.

[0068] Wherein, since the heat conversion coefficient K represents the heat change corresponding to a unit change in flow velocity, the target water flow velocity adjustment data (dV) can be obtained through the formula dV. 目标 =P 目标抵消The value is calculated from / K. For example, if the target heat offset is 42.5W (i.e., 42.5J / s), and the heat conversion coefficient K = 42000 kJ / (m³), then dV = 42.5 / 42000000 ≈ 1.01 × 10⁻⁶. -6 This means that the cooling water flow rate needs to be increased by approximately 1.01 × 10⁻⁶ m³ / s. -6 m³ / s is used to offset the increase in heat caused by power fluctuations. By utilizing the quantitative relationship of physical parameters, the abstract heat regulation is transformed into specific flow rate regulation, ensuring the executability of control commands.

[0069] In the above implementation, a precise mapping between power fluctuations and water flow rate regulation is achieved. By utilizing the constant characteristics of specific heat capacity, temperature difference, and density, a stable "flow rate-heat" relationship is established, ensuring the accuracy of regulation. A slight deficit correction coefficient avoids the risk of over-regulation, improving system stability. Ultimately, the target water flow rate regulation data serves as the input for subsequent conversion into drive voltage data, providing a precise command basis for electromagnetic fine-tuning of the cooling water flow rate. This effectively counteracts the interference of induced power supply power fluctuations on the crystal growth environment, ensuring crystal quality.

[0070] Reference Figure 5 As one embodiment of step S103, the step of converting the target water flow velocity regulation data into target drive voltage data includes: Step S401: Retrieve the stored transfer coefficient data; Specifically, the transfer coefficient data is essentially the change in water flow velocity caused by a unit change in driving voltage. For example, if the transfer coefficient is 0.05 L / (min·V), it means that for every 1V of driving voltage applied, the cooling water flow velocity will increase by 0.05 L / min. Since the transfer coefficient is an inherent characteristic of the system (determined by factors such as cooling water pipe structure, strong magnetic field strength, and electrode position), it needs to be stored in the controller after calibration for subsequent control steps to retrieve.

[0071] Step S402: Divide the target water flow velocity adjustment data by the transmission coefficient data to calculate the target driving voltage data.

[0072] Specifically, based on the physical properties of electromagnetically driven water, in a strong magnetic field, conductive cooling water is subjected to electromagnetic induction, and the change in water flow velocity is linearly proportional to the change in driving voltage. Therefore, the target driving voltage data can be calculated by "target water flow velocity adjustment data / transfer coefficient data". For example, if the target water flow velocity adjustment data is 0.05 L / min and the transfer coefficient is 0.05 L / (min·V), then the target driving voltage data is 1V (0.05 ÷ 0.05 = 1).

[0073] Understandably, this step transforms the abstract flow rate regulation requirement into a specific voltage control command, enabling the controller to output the corresponding drive electrical signal to the electrode, and then fine-tunes the cooling water flow rate through the electromagnetic induction force in the strong magnetic field region, ultimately offsetting the impact of power fluctuations on the crystal growth environment.

[0074] In the above implementation, a precise mapping between flow rate regulation requirements and voltage control commands is achieved. The transfer coefficient ensures the accuracy of the conversion (the transfer coefficient may differ between different systems and must be obtained and stored through calibration). By utilizing proportional relationships through division operations, the abstract flow rate regulation requirements are transformed into executable voltage commands, making the process of electromagnetically fine-tuning the cooling water flow rate operable. Finally, the target driving voltage data serves as the input to the subsequent output driving electrical signal, laying the foundation for the controller to accurately control the electrode voltage and balance power fluctuations, thereby effectively improving the stability of the crystal growth process.

[0075] Reference Figure 6 As one implementation of step S105, the step of extending the corresponding action time data and generating the corresponding final execution time data includes: Step S501: Obtain the original fluctuation time data corresponding to the calculation of abnormal fluctuation power data; The abnormal fluctuation power data refers to the specific value of the sudden power change in the induced power supply (e.g., a sudden increase of 50W), while the corresponding raw fluctuation time data is the duration of this power change (e.g., 0.1 seconds). According to the definition of energy, the abnormal fluctuation energy equals the product of the power change value and the fluctuation time (i.e., energy = power × time). Therefore, the raw fluctuation time data is one of the key parameters for calculating the abnormal fluctuation energy. For example, if the power change of 50W lasts for 0.1 seconds, the abnormal fluctuation energy is 5 joules.

[0076] Understandably, time is the core variable in energy conservation. The total amount of energy that needs to be offset by adjusting the cooling water flow rate depends not only on the magnitude of the power fluctuation but also on its duration. Therefore, it is essential to acquire the original fluctuation time data simultaneously to ensure the accuracy of subsequent time compensation calculations.

[0077] Step S502: The product of the target driving voltage data and the original fluctuation time data is divided by the safe voltage threshold to calculate the extended action time data as the final execution time data.

[0078] Specifically, when the target driving voltage exceeds a preset safe voltage threshold (e.g., set to 9V to prevent water electrolysis), directly applying the target voltage would cause side effects such as water electrolysis. Therefore, the execution voltage needs to be clamped to the safe threshold. However, after clamping, the driving voltage decreases. To maintain the total energy generated by the electromagnetic drive unchanged (to offset abnormal fluctuations in energy), the action time must be extended.

[0079] In this embodiment, based on the principle of energy conservation, assuming the load resistance is constant, the energy generated by the electromagnetic drive is equal to the product of the driving voltage and the operating time (i.e., energy = voltage × time). Therefore, the following condition must be met: safe voltage threshold × extended operating time data = target driving voltage data × original fluctuation time data. From this, we derive that the extended operating time data = (target driving voltage data × original fluctuation time data) / safe voltage threshold.

[0080] For example, if the target driving voltage is 12V (exceeding the safety threshold of 9V) and the original fluctuation time is 0.1 seconds, then the extended action time data = (12V × 0.1 seconds) / 9V ≈ 0.133 seconds. This step, through a time compensation mechanism, ensures that the total energy generated by the electromagnetic drive is equal to the energy of the abnormal fluctuation even when the voltage is limited, thus achieving the effect of fluctuation cancellation. Simultaneously, the setting of the safety voltage threshold (e.g., 9V) is based on the characteristics of purified water having low conductivity and weak electromagnetic water-pushing driving force under low pressure, but without water electrolysis, ensuring the safety of the adjustment process.

[0081] In the above implementation, a balance between safe voltage clamping and energy conservation is achieved. The original fluctuation time data serves as a necessary parameter for energy calculation, ensuring the targeted nature of time compensation (based on the duration of specific power fluctuations). By utilizing the principle of energy conservation through division, the energy loss after voltage clamping is compensated for by extending the time, ensuring that the adjustment effect of the electromagnetic fine-tuning is not affected by voltage limitations. The final execution time data serves as the time parameter for the subsequent output drive signal, laying the foundation for the controller to accurately control the duration of the electrode voltage's action. Thus, while ensuring safety, it effectively counteracts the interference of power fluctuations on the crystal growth environment, improving the stability of the crystal growth process.

[0082] Reference Figure 7 As a further embodiment of the crystal growth fluctuation buffering control method, the apparatus further includes a gas trap located downstream of the strong magnetic field region and upstream of the induction coil of the crystal growth furnace. After the step of outputting a drive electrical signal to the electrode based on the final execution voltage data and the final execution time data, the method further includes: Step S601: Control the opening of the exhaust passage of the gas collection tank so that during the output of the drive electrical signal, the gas generated by electrolyzing the primary buffer cooling water based on the drive electrical signal is transferred to the air space at the top of the sealed buffer insulation water tank. This step is the core operation for collecting and transferring electrolytic gas, aiming to prevent gas from accumulating in the cooling water pipeline. When the controller outputs a drive signal to the electrode, the primary buffer cooling water in the strong magnetic field area (cooling water that has been treated to stabilize the water temperature and pressure in a sealed buffer insulated water tank) may undergo an electrolysis reaction due to the action of the electrical signal (water decomposes into hydrogen and oxygen under the action of the electric field; although the electrolysis efficiency is low at low pressure, a small amount of gas will still be produced).

[0083] Specifically, the gas trap is located downstream of the strong magnetic field area and upstream of the induction coil of the crystal growth furnace. Its function is to capture the gas generated by electrolysis. When the exhaust passage is opened, the gas is transferred from the gas trap to the air space at the top of the sealed buffer insulated water tank through the pipeline.

[0084] It should be noted that the top of the sealed, buffered, insulated water tank has a reserved air space, which can serve as a temporary containment area for gas, preventing gas from entering the cooling water pipes or induction coils. This prevents gas accumulation from causing abnormal pipe pressure, reduced heat dissipation efficiency, or safety hazards (such as the risk of explosion from a mixture of hydrogen and oxygen). Simultaneously, the opening of the exhaust passage is synchronized with the output of the drive electrical signal, ensuring that the gas generated by electrolysis can be transferred in a timely manner, preventing it from remaining in the cooling water pipes.

[0085] Step S602: Obtain the termination signal indicating the completion of crystal growth, and control the exhaust valve located on the top of the sealed buffer insulated water tank to open according to the termination signal, so as to discharge the gas in the air space to the outside.

[0086] After crystal growth is complete, the controller receives a termination signal indicating that crystal growth is complete (e.g., the temperature sensor detects that the crystal temperature has dropped to the set value, or the growth time has reached the preset duration). At this point, cooling water circulation is no longer needed, and the electrolysis process stops. The controller then opens the exhaust valve to expel the gas from the air space at the top of the sealed, insulated water tank.

[0087] Understandably, while the gases generated during electrolysis are transferred to the air space during crystal growth, these gases need to be removed after growth is complete to prevent residual gases from affecting the water tank's sealing or the subsequent restart of the cooling system (for example, residual gases may cause abnormal pressure inside the water tank, affecting the injection of cooling water). The synchronized opening and closing signals of the vent valve ensure that gases are discharged in a timely manner after growth to avoid the risks associated with long-term accumulation.

[0088] In the above embodiments, safe handling of electrolytic gas is achieved. By utilizing the synergy between the gas collection tank and the exhaust passage, the problem of collecting electrolytic gas during electromagnetic fine-tuning is solved, preventing gas accumulation in the cooling system. The exhaust operation after growth is completed removes residual gas, ensuring the sealing of the closed buffer insulated water tank and the stability of subsequent operations. Ultimately, this design ensures that electrolytic gas does not negatively impact the cooling system or the crystal growth environment during crystal growth, improving the safety and reliability of the entire control method.

[0089] This application also discloses a crystal growth fluctuation buffer control system.

[0090] A crystal growth fluctuation buffering control system, used to execute the above-described crystal growth fluctuation buffering control method, specifically includes: The power data acquisition module is used to acquire the real-time output power signal and real-time input voltage signal of the digital inductive power supply. The abnormal fluctuation identification module is used to identify anomalies in the real-time output power signal based on the real-time input voltage signal. When an instantaneous fluctuation in the input voltage is detected and a short-term change in the output power is generated simultaneously, it is determined to be an abnormal power fluctuation, and the abnormal fluctuation power data corresponding to the abnormal power fluctuation is extracted. The target voltage calculation module is used to calculate the target water flow velocity adjustment data to offset the abnormal power fluctuation data based on the abnormal power fluctuation data and the preset heat balance mapping relationship, and convert the target water flow velocity adjustment data into target driving voltage data. The drive voltage limiting module is used to determine whether the target drive voltage data is greater than the preset safe voltage threshold. If so, the actual applied execution voltage data is clamped to the safe voltage threshold, and the corresponding action time data is extended to generate the final execution voltage data and the corresponding final execution time data. If not, the target drive voltage data and the corresponding action time data are directly used as the final execution voltage data and the final execution time data. The electromagnetic fine-tuning execution module is used to output a drive electrical signal to the electrode based on the final execution voltage data and the final execution time data, so as to fine-tune the flow rate of the primary buffer cooling water flowing through the cooling water pipeline through the strong magnetic field area, so that the fine-tuned cooling water flows into the induction coil of the crystal growth furnace.

[0091] The crystal growth fluctuation buffer control system of this application embodiment can implement any of the above methods, and the specific working process of each module in the system can refer to the corresponding process in the above method embodiment.

[0092] In the several embodiments provided in this application, it should be understood that the provided methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for example, the division of a certain module is merely a logical functional division, and in actual implementation there may be other division methods, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0093] This application also discloses a computer device.

[0094] A computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a crystal growth fluctuation buffer control method as described above.

[0095] This application also discloses a computer-readable storage medium.

[0096] A computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described above in any of the crystal growth fluctuation buffer control methods.

[0097] The computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device; the program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0098] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method for buffering and controlling crystal growth fluctuations, characterized in that, An apparatus for buffering fluctuations in crystal growth is described. The apparatus includes a controller, a digital inductive power supply, a sealed buffer and heat-insulating water tank, cooling water pipes, a strong magnetic field region, electrodes, and an induction coil of a crystal growth furnace. The digital inductive power supply provides heating energy to the induction coil of the crystal growth furnace. The sealed buffer and heat-insulating water tank smooths the temperature and pressure of the input cooling water and outputs primary buffer cooling water. The primary buffer cooling water flows sequentially through the strong magnetic field region and the induction coil along the cooling water pipes to remove heat. The electrodes are disposed within the strong magnetic field region. The control method is executed by the controller and includes: The real-time output power signal and real-time input voltage signal of the digital inductive power supply are acquired; Based on the real-time input voltage signal, the real-time output power signal is anomaly identified. When an instantaneous fluctuation in the input voltage is detected and a short-term change in the output power is synchronously generated, it is determined to be an abnormal power fluctuation, and the abnormal power fluctuation data corresponding to the abnormal power fluctuation is extracted. Based on the abnormal fluctuation power data and the preset heat balance mapping relationship, the target water flow velocity adjustment data for offsetting the abnormal fluctuation power data is calculated, and the target water flow velocity adjustment data is converted into target driving voltage data. Determine whether the target driving voltage data is greater than a preset safe voltage threshold; if so, clamp the actual applied execution voltage data to the safe voltage threshold and extend the corresponding action time data to generate the final execution voltage data and the corresponding final execution time data; if not, directly use the target driving voltage data and the corresponding action time data as the final execution voltage data and the final execution time data. Based on the final execution voltage data and the final execution time data, a drive electrical signal is output to the electrode to fine-tune the flow rate of the primary buffer cooling water flowing through the cooling water pipeline through the strong magnetic field region, so that the finely adjusted cooling water flows into the induction coil of the crystal growth furnace.

2. The crystal growth fluctuation buffering control method according to claim 1, characterized in that, The device further includes a low-resistance, high-precision water flow meter pre-connected to the cooling water pipeline; before performing the step of acquiring the real-time output power signal and real-time input voltage signal of the digital inductive power supply, the control method further includes: The initial water flow velocity data collected by the low-resistance high-precision water flow meter is acquired, and the calibration test voltage data of known value is output to the electrode. Acquire the changed water flow velocity data collected by the low-resistance high-precision water flow meter during the output of the calibration test voltage data; Based on the calibration test voltage data, the initial water flow velocity data, and the changed water flow velocity data, the transfer coefficient data between the driving voltage and the water flow velocity is calculated and stored. After receiving a confirmation signal that the low-resistance, high-precision water flow meter has been removed from the cooling water pipeline, the transfer coefficient data is configured as the calculation reference for the step of converting the target water flow velocity adjustment data into target drive voltage data.

3. The crystal growth fluctuation buffering control method according to claim 1, characterized in that, The steps for calculating the target water flow velocity adjustment data to offset the abnormal power fluctuations, based on the abnormal power fluctuation data and the preset heat balance mapping relationship, include: Obtain the specific heat capacity constant, inlet and outlet water temperature difference constant, and density constant of the input cooling water, and calculate the product to obtain the heat conversion coefficient constant; Obtain a preset slight deficit correction coefficient, wherein the slight deficit correction coefficient is a constant less than 1; Multiply the abnormal fluctuation power data by the slight deficit correction coefficient to obtain the target heat offset data; The target heat offset data is divided by the heat conversion coefficient constant to obtain the target water flow velocity regulation data.

4. The crystal growth fluctuation buffering control method according to claim 2, characterized in that, The steps of converting the target water flow velocity regulation data into target drive voltage data include: Retrieve the stored transfer coefficient data; The target driving voltage data is calculated by dividing the target water flow velocity adjustment data by the transmission coefficient data.

5. The crystal growth fluctuation buffering control method according to claim 1, characterized in that, The steps to extend the corresponding action time data and generate the corresponding final execution time data include: Obtain the original fluctuation time data corresponding to the calculation of the abnormal fluctuation power data; The product of the target driving voltage data and the original fluctuation time data is divided by the safe voltage threshold to calculate the extended action time data, which is then used as the final execution time data.

6. A crystal growth fluctuation buffering control method according to any one of claims 1 to 5, characterized in that, The apparatus further includes a gas trap located downstream of the strong magnetic field region and upstream of the induction coil of the crystal growth furnace. After the step of outputting a drive electrical signal to the electrode based on the final execution voltage data and the final execution time data, the method further includes: The exhaust passage of the gas trap is opened so that, during the output of the drive electrical signal, the gas generated by electrolyzing the primary buffer cooling water based on the drive electrical signal is transferred to the air space at the top of the sealed buffer insulation water tank. A termination signal indicating the completion of crystal growth is obtained, and the exhaust valve located on the top of the sealed buffer insulated water tank is opened according to the termination signal to discharge the gas in the air space to the outside.

7. The crystal growth fluctuation buffering control method according to claim 3, characterized in that: The value of the slight loss correction coefficient ranges from 0.8 to 0.

9.

8. A crystal growth fluctuation buffer control system, characterized in that, For executing a crystal growth fluctuation buffering control method according to any one of claims 1 to 7, the control system includes: The power data acquisition module is used to acquire the real-time output power signal and real-time input voltage signal of the digital inductive power supply; An abnormal fluctuation identification module is used to identify anomalies in the real-time output power signal based on the real-time input voltage signal. When an instantaneous fluctuation in the input voltage is detected and a short-term change in the output power is generated synchronously, it is determined to be an abnormal power fluctuation, and the abnormal fluctuation power data corresponding to the abnormal power fluctuation is extracted. The target voltage calculation module is used to calculate the target water flow velocity adjustment data to offset the abnormal fluctuation power data based on the abnormal fluctuation power data and the preset heat balance mapping relationship, and convert the target water flow velocity adjustment data into target driving voltage data. The drive voltage limiting module is used to determine whether the target drive voltage data is greater than a preset safe voltage threshold. If so, the actual applied execution voltage data is clamped to the safe voltage threshold, and the corresponding action time data is extended to generate the final execution voltage data and the corresponding final execution time data. If not, the target drive voltage data and the corresponding action time data are directly used as the final execution voltage data and the final execution time data. The electromagnetic fine-tuning execution module is used to output a drive electrical signal to the electrode based on the final execution voltage data and the final execution time data, so as to fine-tune the flow rate of the primary buffer cooling water flowing through the cooling water pipeline through the strong magnetic field region, so that the fine-tuned cooling water flows into the induction coil of the crystal growth furnace.

9. A computer device, characterized in that: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer program is stored that can be loaded by a processor and executed as described in any one of claims 1 to 7.

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