Remote control system for high temperature and high pressure method of producing superhard materials

Abstract

This invention discloses a remote control system for producing superhard materials using a high-temperature, high-pressure method, relating to the field of remote control technology for material production. It addresses the problem in existing technologies where the startup of each equipment process stage is largely based on rigid timing control, lacking coordination with power grid supply and distribution. Specifically, through the coordinated operation of a remote control platform and three functional units, it achieves intelligent, full-process management of production load, equipment status, and product quality, improving the stability of the power grid and production system. Furthermore, through a "prediction-optimization-compensation" full-chain design for load coordination control, it effectively smooths out power peaks from multiple devices operating in parallel, avoiding power grid overload and voltage fluctuations, while ensuring the stability of equipment process execution. This provides dual protection for power grid safety and production continuity, reducing the risk of production interruptions caused by power grid disturbances.

Description

Technical Field

[0001] This invention relates to the field of remote control technology for materials production, specifically a remote control system for producing superhard materials using a high-temperature and high-pressure method. Background Technology

[0002] Superhard materials (such as diamond and cubic boron nitride) are key basic materials in the field of high-end manufacturing. The mainstream production method is the high temperature and high pressure method. This production process is characterized by high energy consumption and high process precision requirements. A single set of production equipment needs to provide high power heating output in a short time to reach a synthesis temperature of thousands of degrees Celsius, while maintaining a stable high pressure environment (usually several GPa) to ensure the normal growth of material crystals.

[0003] Currently, the production of superhard materials using traditional processes still faces the following technical challenges. On the one hand, load control is crude: when multiple sets of production equipment are running in parallel, the start-up of each equipment's process stage (preheating, temperature rise, pressure holding growth, etc.) is mostly rigidly time-sequential, lacking coordination with the power grid supply and distribution. When multiple pieces of equipment enter the temperature rise stage at the same time, power peaks are easily formed, exceeding the power grid's safe carrying capacity threshold, leading to power grid voltage fluctuations. This not only affects the stability of the equipment's process execution but may also trigger the power grid protection mechanism, causing production interruptions.

[0004] On the other hand, there is a lack of equipment aging monitoring: In order to adapt to changes in grid load, some production scenarios will make minor adjustments to the equipment process sequence, but the changes in equipment performance during the timing fine-tuning process are not monitored. As the equipment is used for longer periods of time, key components such as heating elements and sealing components will gradually age. During the timing fine-tuning process, parameters such as the temperature rise rate and pressure response speed of the equipment will undergo subtle changes. If timely warnings are not given, it can easily lead to an expansion of process deviations, ultimately affecting product quality and even causing equipment failure.

[0005] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0006] The purpose of this invention is to solve the problems mentioned above by proposing a remote control system for producing superhard materials using a high-temperature and high-pressure method.

[0007] The objective of this invention can be achieved through the following technical solution: a remote control system for producing superhard materials by high temperature and high pressure method, comprising a remote control platform, wherein the remote control platform is communicatively connected to a load coordination control unit, an aging early warning unit, and a quality assessment unit;

[0008] After receiving the load coordination control signal, the load coordination control unit combines the power grid supply and distribution status of the material production area with the material production process execution status to carry out load coordination control, namely planned load shifting or disturbance compensation.

[0009] The aging early warning unit performs aging early warning analysis during the intervention execution phase of planned load shifting;

[0010] The quality assessment unit conducts quality assessments on the materials and products produced in the process.

[0011] Furthermore, the process of the load coordination control unit is as follows:

[0012] Equipment-level process data is collected based on the production process, including:

[0013] Process status: current synthesis stage; target temperature and pressure for the current stage; actual temperature inside the chamber and system oil pressure; current heater power; process flexibility parameters: predefined process window;

[0014] Collect grid-level status data: Grid-level status data includes: total incoming line voltage, current, active power, and power factor; grid capacity parameters: preset safe power threshold and allowable voltage fluctuation range;

[0015] Based on the process status and process flexibility parameters reported by all devices, a projected power consumption timeline is generated for each device; the projected power timelines of all devices are superimposed to generate a future short-term cluster total power demand prediction curve.

[0016] Furthermore, based on the recorded total incoming line voltage, the percentage deviation and rate of change of the total incoming line voltage from the rated voltage are obtained; at the same time, the active power is compared with the safe power threshold.

[0017] Based on the trend of the cluster's total power demand forecast curve, we predict whether there will be a point in time when the power demand exceeds the safe threshold. If so, we trigger a planned load shift; otherwise, we conduct continuous monitoring.

[0018] Among them, planned load shifting means making fine-tuning of the time for the flexible adjustment stage while ensuring that the core process of each piece of equipment is absolutely satisfied; and optimizing the calculation with the goal of smoothing the total power curve while satisfying the process window constraints of all equipment.

[0019] Furthermore, the collected percentage of voltage deviation is compared with the corresponding rate of change:

[0020] If the voltage deviation percentage exceeds the allowable voltage fluctuation range, or the voltage deviation percentage change rate exceeds the change rate threshold, real-time disturbance rejection compensation will be performed; otherwise, if the voltage deviation percentage does not exceed the allowable voltage fluctuation range and the voltage deviation percentage change rate does not exceed the change rate threshold, monitoring will continue.

[0021] The disturbance rejection compensation means that when a drop in grid voltage is detected, the remote control platform quickly broadcasts a unified power compensation coefficient to all equipment in the heating stage; after receiving the compensation coefficient K, it performs feedforward-feedback composite control in conjunction with the temperature closed-loop control of the process equipment.

[0022] Furthermore, the process of the aging early warning unit is as follows:

[0023] During the planned load shift, the duration of the temperature rise phase corresponding to the equipment with delayed heating time is recorded, and the range of the temperature rise rate increase corresponding to the equipment with advanced heating time is recorded. These are then marked as the quantitative characteristic parameters of the delayed equipment and the quantitative characteristic parameters of the advanced equipment, respectively. As the planned load shift phase continues to increase, the peak values ​​of the quantitative characteristic parameters of each type of equipment are recorded and the peak change rate is collected. Based on the peak change rate, the current phase is divided into a high-fluctuation characteristic phase and a low-fluctuation characteristic phase.

[0024] Furthermore, the deviation temperature is obtained by comparing the actual temperature inside the cavity with the target temperature; the deviation pressure is obtained by comparing the system oil pressure with the target pressure; and the deviation temperature curve and deviation pressure curve are determined by analyzing the deviation temperature and deviation pressure at each moment within the stage.

[0025] Based on the deviation temperature curve and deviation pressure curve, the overlapping part of the curves is obtained, and the corresponding operating stage is identified and marked as the deviation stage. If the characteristic high fluctuation stage continues to increase, and the deviation stage also continues to increase, a performance degradation signal is generated and sent to the remote control platform. If the characteristic high fluctuation stage continues to increase, and the deviation stage does not continue to increase, a performance stabilization signal is generated and sent to the remote control platform. If the characteristic low fluctuation stage continues to increase, and the deviation stage also continues to increase, an aging acceleration signal is generated and sent to the remote control platform. If the characteristic low fluctuation stage continues to increase, and the deviation stage does not continue to increase, a continuous monitoring signal is generated and sent to the remote control platform.

[0026] Furthermore, upon receiving a performance degradation signal, the remote control platform makes decisions to adjust the planned load shift execution and performs maintenance and repair on the current process equipment; upon receiving an accelerated aging signal, it stops the planned load shift execution, adjusts the process flexibility parameters of the current process equipment, and continuously compares the set values ​​and measured values ​​of each process state. If a deviation occurs, it performs shutdown maintenance.

[0027] Furthermore, the process for the quality assessment unit is as follows:

[0028] Based on continuous monitoring of the actual temperature inside the cavity, the final steady-state temperature inside the synthesis cavity is obtained; based on continuous monitoring of the system oil pressure, the final steady-state pressure acting on the synthesis block is obtained; the standard deviation of the system oil pressure fluctuation during the pressure holding stage is obtained; and the final temperature gradient during the heat holding stage is obtained based on multi-point temperature monitoring outside the cavity.

[0029] If the standard deviation of the system oil pressure fluctuation during the pressure holding stage is within the set standard deviation range, and the final temperature gradient during the heat holding stage is within the set temperature gradient range, then the current moment is taken as the effective holding moment; otherwise, if the standard deviation of the system oil pressure fluctuation during the pressure holding stage is not within the set standard deviation range, or the final temperature gradient during the heat holding stage is not within the set temperature gradient range, then the current moment is taken as the ineffective holding moment.

[0030] The effective holding time at the final temperature and final pressure is obtained based on real-time monitoring.

[0031] Furthermore, if the effective holding time during the processing stage exceeds the holding time threshold continuously, and the cumulative duration of non-effective holding moments during the processing stage is lower than the cumulative duration threshold, then a material quality qualified signal is generated and sent to the remote control platform.

[0032] If the effective holding time during the processing stage does not exceed the holding time threshold, or if the cumulative duration of non-effective holding moments during the processing stage is not lower than the cumulative duration threshold, a material quality abnormality signal is generated and sent to the remote control platform.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] 1. The basic data acquisition steps for load coordination control unit in conjunction with grid supply and distribution status and process execution status (including equipment-level process data and grid-level status data acquisition): On the one hand, comprehensive acquisition of equipment-level process data (covering process status, key setpoints / measured values, control outputs, and process flexibility parameters) provides accurate process constraints for subsequent load forecasting and timing fine-tuning, ensuring that load adjustments do not exceed core process requirements; on the other hand, real-time acquisition of grid-level status data (total incoming line voltage, current, active power, etc.) enables dynamic perception of grid supply and distribution capacity, avoiding the problem of load adjustment being disconnected from grid carrying capacity. The coordinated acquisition of these two types of data provides data support for the accurate implementation of load coordination control, ensuring a balance between process stability and grid security.

[0035] 2. The aging early warning unit collects quantitative characteristic parameters during the planned load shifting intervention phase (recording the temperature rise duration and temperature rise rate span of delayed / advanced equipment): This step transforms the equipment response characteristics during the load shifting process into quantifiable characteristic parameters, breaking the limitation of traditional equipment aging monitoring relying on shutdown detection. By recording the changes in equipment temperature response during the time-series fine-tuning process in real time, it makes the implicit characteristics of equipment performance changes explicit, providing accurate quantitative basis for subsequent aging status judgment and avoiding the expansion of process deviations caused by the implicit development of equipment aging.

[0036] 3. The quality assessment unit determines the effective holding time based on the final steady-state temperature / pressure, the standard deviation of oil pressure fluctuation during the pressure holding stage, and the temperature gradient during the heat holding stage: This step constructs a quality assessment dimension based on process parameters, breaking the lag of traditional offline quality testing. By monitoring the two core parameters that directly affect the quality of material crystal growth—pressure fluctuation during the pressure holding stage and temperature gradient during the heat holding stage—the "effective holding time" is used as the core indicator for quality assessment. This enables process-based prediction of quality problems, avoids the mass production of unqualified products, and at the same time, the real-time recording of process parameters provides accurate data support for subsequent quality traceability, facilitating the rapid identification of the root cause of quality problems. Attached Figure Description

[0037] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0038] Figure 1 This is a system principle block diagram of the present invention;

[0039] Figure 2 This is a flowchart of the load coordination control unit method in this invention. Detailed Implementation

[0040] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0042] Please see Figure 1 As shown, a remote control system for producing superhard materials using a high-temperature and high-pressure method includes a remote control platform, which is communicatively connected to a load coordination control unit, an aging early warning unit, and a quality assessment unit.

[0043] The remote control platform generates load coordination control signals and sends them to the load coordination control unit;

[0044] Please see Figure 2 As shown, after receiving the load coordination control signal, the load coordination control unit combines the power grid supply and distribution status of the material production area with the material production process execution status to carry out load coordination control in order to ensure the stability of process execution.

[0045] Equipment-level process data is collected based on the production process, including:

[0046] Process status: The current synthesis stage (e.g., "preheating", "heating", "pressure holding growth", "cooling");

[0047] Key settings: target temperature and target pressure for the current stage;

[0048] Key measured values: actual temperature inside the cavity (indirectly measured via thermocouple), system oil pressure;

[0049] Key control output: Current power of the heater;

[0050] Process flexibility parameters: predefined process windows;

[0051] For example, the allowable start time range for the "heating" stage is the planned time ± Δt (e.g., ±10 minutes); the allowable temperature tolerance for the "pressure holding" stage is ± ΔT (e.g., ±5℃).

[0052] Collect power grid-level status data:

[0053] Data is collected in real time through smart meters or power monitoring systems at the main incoming line cabinet in the factory area;

[0054] Grid-level status data includes: total incoming line voltage, current, active power, and power factor;

[0055] Grid capacity parameters: preset safe power threshold and allowable voltage fluctuation range;

[0056] Based on the process status and process flexibility parameters reported by all equipment, a timeline of expected power consumption is generated for each piece of equipment.

[0057] If a device is in the "heat preservation" stage, its future power demand is relatively stable. If it is in the "waiting for heating" stage, it can be predicted that it will generate a power jump at the planned time point (and within the flexible window).

[0058] By overlaying the predicted power timelines of all devices, a cluster total power demand prediction curve for a short future time (such as the next 10 minutes) is generated.

[0059] Based on the recorded total incoming voltage, obtain the percentage deviation and rate of change between the total incoming voltage and the rated voltage, and compare the active power with the safe power threshold.

[0060] Based on the trend of the cluster's total power demand forecast curve, we predict whether there will be a point in time when the power demand exceeds the safe threshold. If so, we trigger a planned load shift; otherwise, we conduct continuous monitoring.

[0061] Among them, the planned load shift means that, under the premise of ensuring that the core processes of each piece of equipment (such as the maximum temperature and pressure holding time) are absolutely satisfied, the time of the flexibly adjustable stage (mainly the "heating" start point) is fine-tuned. Under the condition of satisfying the process window constraints of all equipment, the optimization calculation is carried out with the goal of "smoothing the total power curve".

[0062] For example, delaying the start time of heating up device A by 3 minutes and advancing the start time of heating up device B by 2 minutes can "smooth out peak demand and fill in valleys".

[0063] The execution steps of planned load shifting (optimization calculation aimed at smoothing the total power curve under process window constraints): This step uses a timing fine-tuning strategy of "peak shaving and valley filling" (such as delaying the heating of some equipment and advancing the heating of some equipment) to effectively smooth out the peak power of the cluster while ensuring that the core processes (maximum temperature, pressure holding time) of each piece of equipment are absolutely met. This reduces the pressure on the power grid, avoids the power grid protection action caused by power overload, and ensures the safe operation of the power grid. Secondly, it reduces the mutual interference when multiple devices are running in parallel and maintains the stability of the process parameters of each device. Thirdly, it improves the energy utilization efficiency of the power grid and reduces the energy loss caused by power fluctuations, achieving the dual benefits of energy saving and stability.

[0064] Compare the collected percentage of voltage deviation with the corresponding rate of change:

[0065] If the voltage deviation percentage exceeds the allowable voltage fluctuation range, or the voltage deviation percentage change rate exceeds the change rate threshold, real-time disturbance rejection compensation will be performed; otherwise, if the voltage deviation percentage does not exceed the allowable voltage fluctuation range and the voltage deviation percentage change rate does not exceed the change rate threshold, monitoring will continue.

[0066] The disturbance rejection compensation means that when a drop in grid voltage is detected (causing an instantaneous drop in the heating power of all equipment), the remote control platform quickly broadcasts a unified power compensation coefficient K (K>1) to all equipment in the heating stage. After receiving the compensation coefficient K, it combines the temperature closed-loop control (PID) of the process equipment to perform feedforward-feedback composite control.

[0067] The remote control platform generates an aging warning signal and sends it to the aging warning unit;

[0068] After receiving the aging warning signal, the aging warning unit performs aging warning analysis on the intervention execution phase of the planned load shift.

[0069] During the planned load shift, the increase duration of the temperature rise phase corresponding to the temperature rise delay equipment is recorded, and the increase span of the temperature rise rate corresponding to the temperature rise phase corresponding to the temperature rise advance equipment is recorded. These are respectively marked as the quantitative characteristic parameters of the delay equipment and the quantitative characteristic parameters of the advance equipment.

[0070] As the planned load shifting phase continues to increase, the peak values ​​of the quantitative characteristic parameters of each type of equipment are recorded and the peak change rate is collected. Based on the peak change rate, the current phase is divided into a high-fluctuation characteristic phase and a low-fluctuation characteristic phase.

[0071] The deviation temperature is obtained by comparing the actual temperature inside the cavity with the target temperature, and the deviation pressure is obtained by comparing the system oil pressure with the target pressure. Based on the analysis of the deviation temperature and deviation pressure at each moment within the stage, the deviation temperature curve and deviation pressure curve are determined.

[0072] The overlapping part of the curves is obtained from the deviation temperature curve and the deviation pressure curve, and the corresponding operating stage is obtained and marked as the deviation stage. If the characteristic high fluctuation stage continues to increase and the deviation stage continues to increase, a performance degradation signal is generated and sent to the remote control platform. If the characteristic high fluctuation stage continues to increase and the deviation stage does not continue to increase, a performance stabilization signal is generated and sent to the remote control platform.

[0073] If the low-fluctuation stage of the characteristic continues to increase, and the deviation stage also continues to increase, an aging acceleration signal is generated and sent to the remote control platform; if the low-fluctuation stage of the characteristic continues to increase, and the deviation stage does not continue to increase, a continuous monitoring signal is generated and sent to the remote control platform.

[0074] After receiving a performance degradation signal, the remote control platform makes decisions to adjust the planned load shift execution and performs maintenance and repair on the current process equipment; after receiving an accelerated aging signal, it stops the planned load shift execution, adjusts the process flexibility parameters of the current process equipment, and continuously compares the set values ​​and measured values ​​of each process state. If a deviation occurs, it will shut down for maintenance.

[0075] The remote control platform generates a quality assessment signal and sends it to the quality assessment unit;

[0076] After receiving the quality assessment signal, the quality assessment unit performs a quality assessment on the process production materials and products.

[0077] The final steady-state temperature inside the synthesis chamber is obtained by continuously monitoring the actual temperature inside the chamber, and the final steady-state pressure acting on the synthesis block is obtained by continuously monitoring the system oil pressure.

[0078] The standard deviation of the system oil pressure fluctuation during the pressure holding stage was obtained, and the final temperature gradient during the heat holding stage was obtained based on the multi-point temperature monitoring outside the cavity.

[0079] If the standard deviation of the system oil pressure fluctuation during the pressure holding stage is within the set standard deviation range, and the final temperature gradient during the heat holding stage is within the set temperature gradient range, then the current moment is taken as the effective holding moment; otherwise, if the standard deviation of the system oil pressure fluctuation during the pressure holding stage is not within the set standard deviation range, or the final temperature gradient during the heat holding stage is not within the set temperature gradient range, then the current moment is taken as the ineffective holding moment.

[0080] The effective holding time at the final temperature and final pressure is obtained based on real-time monitoring.

[0081] If the effective holding time during the processing stage exceeds the holding time threshold continuously, and the cumulative duration of non-effective holding moments during the processing stage is less than the cumulative duration threshold, then a material quality qualified signal is generated and sent to the remote control platform.

[0082] If the effective holding time during the processing stage does not exceed the holding time threshold, or the cumulative duration of non-effective holding moments during the processing stage is not lower than the cumulative duration threshold, a material quality abnormality signal is generated and sent to the remote control platform.

[0083] After receiving a material quality anomaly signal, the remote control platform performs source tracing analysis on the current processing equipment at each stage and carries out targeted maintenance on the equipment.

[0084] Thresholds, preset values, or preset ranges are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or rational factors.

[0085] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A remote control system for high temperature high pressure production of superhard material, characterized in that, This includes a remote control platform, which is connected to a load coordination control unit, an aging early warning unit, and a quality assessment unit. After receiving the load coordination control signal, the load coordination control unit combines the power grid supply and distribution status of the material production area with the material production process execution status to perform load coordination control; that is, planned load shifting or disturbance rejection compensation; the aging early warning unit performs aging early warning analysis during the intervention execution phase of planned load shifting; the process of the aging early warning unit is as follows: During the planned load shift, the increase duration of the temperature rise phase corresponding to the temperature rise delay equipment is recorded, and the increase span of the temperature rise rate corresponding to the temperature rise phase corresponding to the temperature rise advance equipment is recorded; these are respectively marked as the quantitative characteristic parameters of the delay equipment and the quantitative characteristic parameters of the advance equipment. As the planned load shifting phase continues to increase, the peak values ​​of the quantitative characteristic parameters of each type of equipment are recorded and the peak change rate is collected. The current stage is divided into a high-fluctuation stage and a low-fluctuation stage based on the peak change rate; after receiving the performance degradation signal, the remote control platform makes decisions to adjust the planned load shift execution and performs maintenance and repair on the current process equipment. Upon receiving a signal indicating accelerated aging, the planned load shift is stopped, and the current process parameters of the equipment are adjusted. The set values ​​and measured values ​​of each process state are continuously compared, and if a deviation is found, the machine is shut down for maintenance. The quality assessment unit conducts quality assessments on the materials and products produced in the process.

2. A remote control system for a high-pressure high-temperature method of producing superhard material according to claim 1, characterised in that, The process of the load coordination control unit is as follows: Equipment-level process data is collected based on the production process, including: Process status: current synthesis stage; target temperature and pressure for the current stage; actual temperature inside the chamber and system oil pressure; current heater power; process flexibility parameters: predefined process window; Collect grid-level status data: Grid-level status data includes: total incoming line voltage, current, active power, and power factor; grid capacity parameters: preset safe power threshold and allowable voltage fluctuation range; Based on the process status and process flexibility parameters reported by all devices, a projected power consumption timeline is generated for each device; the projected power timelines of all devices are superimposed to generate a future short-term cluster total power demand prediction curve.

3. The remote control system for producing superhard materials using a high-temperature, high-pressure method according to claim 2, characterized in that, Based on the recorded total incoming voltage, obtain the percentage deviation and rate of change between the total incoming voltage and the rated voltage; at the same time, compare the active power with the safe power threshold. Based on the trend of the cluster's total power demand forecast curve, we predict whether there will be a point in time when the power demand exceeds the safe threshold. If so, we trigger a planned load shift; otherwise, we conduct continuous monitoring. Among them, planned load shifting means making fine-tuning of the time for the flexible adjustment stage while ensuring that the core process of each piece of equipment is absolutely satisfied; and optimizing the calculation with the goal of smoothing the total power curve while satisfying the process window constraints of all equipment.

4. The remote control system for producing superhard materials using a high-temperature, high-pressure method according to claim 3, characterized in that, Compare the collected percentage of voltage deviation with the corresponding rate of change: If the voltage deviation percentage exceeds the allowable voltage fluctuation range, or the voltage deviation percentage change rate exceeds the change rate threshold, real-time disturbance rejection compensation will be performed; otherwise, if the voltage deviation percentage does not exceed the allowable voltage fluctuation range and the voltage deviation percentage change rate does not exceed the change rate threshold, monitoring will continue. The disturbance rejection compensation means that when a drop in grid voltage is detected, the remote control platform quickly broadcasts a unified power compensation coefficient to all equipment in the heating stage; after receiving the compensation coefficient K, it performs feedforward-feedback composite control in conjunction with the temperature closed-loop control of the process equipment.

5. The remote control system for producing superhard materials using a high-temperature, high-pressure method according to claim 1, characterized in that, The deviation temperature is obtained by comparing the actual temperature inside the cavity with the target temperature; the deviation pressure is obtained by comparing the system oil pressure with the target pressure; and the deviation temperature curve and deviation pressure curve are determined by analyzing the deviation temperature and deviation pressure at each moment within the stage. The overlapping portion of the deviation temperature curve and deviation pressure curve is obtained, and the corresponding operating stage is marked as the deviation stage. If the characteristic high fluctuation stage continues to increase, and the deviation stage also continues to increase, a performance degradation signal is generated and sent to the remote control platform. If the characteristic high fluctuation stage continues to increase, and the deviation stage does not continue to increase, a performance stabilization signal is generated and sent to the remote control platform. If the characteristic low fluctuation stage continues to increase, and the deviation stage also continues to increase, an aging acceleration signal is generated and sent to the remote control platform. If the characteristic low fluctuation stage continues to increase, and the deviation stage does not continue to increase, a continuous monitoring signal is generated and sent to the remote control platform.

6. The remote control system for producing superhard materials using a high-temperature, high-pressure method according to claim 1, characterized in that, The process for the quality assessment unit is as follows: Based on continuous monitoring of the actual temperature inside the cavity, the final steady-state temperature inside the synthesis cavity is obtained; based on continuous monitoring of the system oil pressure, the final steady-state pressure acting on the synthesis block is obtained; the standard deviation of the system oil pressure fluctuation during the pressure holding stage is obtained; and the final temperature gradient during the heat holding stage is obtained based on multi-point temperature monitoring outside the cavity. If the standard deviation of the system oil pressure fluctuation during the pressure holding stage is within the set standard deviation range, and the final temperature gradient during the heat holding stage is within the set temperature gradient range, then the current moment is taken as the effective holding moment; otherwise, if the standard deviation of the system oil pressure fluctuation during the pressure holding stage is not within the set standard deviation range, or the final temperature gradient during the heat holding stage is not within the set temperature gradient range, then the current moment is taken as the ineffective holding moment. The effective holding time at the final temperature and final pressure is obtained based on real-time monitoring.

7. The remote control system for producing superhard materials using a high-temperature, high-pressure method according to claim 6, characterized in that, If the effective holding time during the processing stage exceeds the holding time threshold continuously, and the cumulative duration of non-effective holding moments during the processing stage is less than the cumulative duration threshold, then a material quality qualified signal is generated and sent to the remote control platform. If the effective holding time during the processing stage does not exceed the holding time threshold, or if the cumulative duration of non-effective holding moments during the processing stage is not lower than the cumulative duration threshold, a material quality abnormality signal is generated and sent to the remote control platform.

Images