Remote control system for producing superhard material by high-temperature and high-pressure method

Abstract

The invention discloses a remote control system for producing superhard materials by a high-temperature and high-pressure method, relates to the technical field of remote control of material production, and aims to solve the problem that in the prior art, starting of each equipment process stage is mostly rigid sequential control, and coordination with power grid supply and distribution conditions is lacked. According to the method, through cooperative operation of a remote control platform and three functional units, full-process and intelligent management and control of production loads, equipment states and product quality are achieved, the cooperative stability of a power grid and a production system is improved, and through the prediction-optimization-compensation full-chain design of load cooperative control, the production efficiency is improved. The power peak value of multi-equipment parallel production is effectively smoothed, power grid overload and voltage fluctuation are avoided, meanwhile, the stability of equipment process execution is guaranteed, double guarantee of power grid safety and continuous production is achieved, and the risk of production interruption caused by power grid disturbance is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of remote control of material production, in particular to a remote control system for producing superhard materials by high temperature and high pressure method. BACKGROUND

[0002] As a key basic material in the field of high-end manufacturing, superhard materials (such as diamond and cubic boron nitride) are mainly produced by high temperature and high pressure method. This production process has the characteristics of high energy consumption and high process precision. A single production device needs to provide high-power heating output in a short time to reach a synthesis temperature of thousands of degrees Celsius, and at the same time, a stable high-pressure environment (usually several GPa) needs to be maintained to ensure the normal growth of material crystals.

[0003] At present, the following technical status still exists in the production of superhard materials by traditional process. On the one hand, the load control is rough. When multiple production devices run in parallel, the start of each device process stage (preheating, temperature rising, pressure maintaining growth, etc.) is mainly rigid time sequence control, and there is lack of coordination with the power supply and distribution condition. When multiple devices enter the temperature rising stage at the same time, power peak is easy to form, which exceeds the safe bearing threshold of power grid, causing power grid voltage fluctuation, affecting the stability of device process execution, and even triggering the protection mechanism of power grid, resulting in production interruption.

[0004] On the other hand, there is a lack of device aging monitoring. In order to adapt to the change of power load, some production scenes will fine-tune the device process time sequence, but the change of device performance during time sequence fine-tuning is not monitored. With the increase of device use time, the key components such as heating element and sealing assembly will gradually age, and the parameters such as temperature rising rate and pressure response speed of the device during time sequence fine-tuning will change implicitly. If not timely warned, it is easy to cause the expansion of process deviation, and finally affect the product quality, and even cause device failure.

[0005] In view of the above technical defects, a solution is proposed. SUMMARY

[0006] The purpose of the present application is to solve the above-mentioned problems, and a remote control system for producing superhard materials by high temperature and high pressure method is proposed.

[0007] The purpose of the present application can be realized by the following technical scheme: a remote control system for producing superhard materials by high temperature and high pressure method, comprising a remote control platform, the remote control platform being communicatively connected with a load coordination control unit, an aging warning unit and a quality evaluation unit;

[0008] After the load coordination control unit receives the load coordination control signal, the load coordination control unit performs load coordination control, i.e. planned load translation or disturbance compensation, in combination with the power supply and distribution condition of the region where the material is produced and the execution state of the material production process.

[0009] The aging early warning unit performs aging early warning analysis on the intervention execution stage of the planned load shift;

[0010] The quality assessment unit performs quality assessment on the process production material product.

[0011] Further, the process of the load collaborative control unit is as follows:

[0012] According to the production process, device-level process data is collected, wherein the device-level process data includes:

[0013] Process state: the current synthesis stage, the target temperature and the target pressure of the current stage, the actual temperature in the cavity and the system oil pressure, the current power of the heater, process flexibility parameters: predefined process window;

[0014] Collecting power grid-level state data: the power grid-level state data includes: total incoming line voltage, current, active power, power factor; power grid capacity parameters: pre-set safe power threshold, voltage allowable fluctuation range;

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

[0016] Further, according to the recorded total incoming line voltage, the deviation percentage and the change rate 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] According to the trend of the cluster total power demand prediction curve, it is predicted whether there is a time point that exceeds the safe power threshold, and if so, the planned load shift is triggered; otherwise, continuous monitoring is performed;

[0018] Among them, the planned load shift means that under the premise of ensuring that the core process of each device is absolutely met, the time of the elastically adjustable stage is adjusted; under the condition of meeting all device process window constraints, the smooth total power curve is taken as the target for optimization calculation.

[0019] Further, the collected voltage deviation percentage and the corresponding change rate are compared:

[0020] If the voltage deviation percentage exceeds the voltage allowable fluctuation range, or the voltage deviation percentage change rate exceeds the change rate threshold, real-time anti-disturbance compensation is performed; otherwise, if the voltage deviation percentage does not exceed the voltage allowable fluctuation range, and the voltage deviation percentage change rate does not exceed the change rate threshold, monitoring is continued;

[0021] Wherein the anti-disturbance compensation is represented as when the grid voltage drop is detected, the remote control platform quickly broadcasts a unified power compensation coefficient to all devices in the heating stage; After receiving the compensation coefficient K, the temperature closed-loop control of the process equipment is combined to perform feed-forward-feedback composite control.

[0022] Further, the aging early warning unit has the following process:

[0023] In the planned load shifting process, the increase duration of the temperature rise stage of the temperature rise time delay device is recorded, and the increase span of the temperature rise speed of the temperature rise time advance device corresponding to the temperature rise stage is recorded; And mark as the quantification characteristic parameter of the delay device and the quantification characteristic parameter of the advance device; According to the continuous increase of the planned load shifting stage, the peak value of the quantification characteristic parameter of each type of device is recorded and the peak value change rate is collected; According to the peak value change rate, the current stage is divided into a characteristic high floating stage and a characteristic low floating stage.

[0024] Further, the deviation temperature is obtained by comparing the actual temperature in the cavity with the target temperature; The deviation pressure is obtained by comparing the system oil pressure with the target pressure; The deviation temperature curve and the deviation pressure curve are determined according to the deviation temperature and the deviation pressure at each moment in the stage;

[0025] According to the deviation temperature curve and the deviation pressure curve, the overlapping part of the curves is obtained, and the running stage corresponding to the overlapping part of the curves is obtained, and is marked as a deviation stage. If the characteristic high floating stage continues to increase, and the deviation stage is accompanied by continuous increase, a performance decline signal is generated and sent to the remote control platform. If the characteristic high floating stage continues to increase, and the deviation stage is not accompanied by continuous increase, a performance stability signal is generated and sent to the remote control platform. If the characteristic low floating stage continues to increase, and the deviation stage is accompanied by continuous increase, an aging acceleration signal is generated and sent to the remote control platform. If the characteristic low floating stage continues to increase, and the deviation stage is not accompanied by continuous increase, a continuous monitoring signal is generated and sent to the remote control platform;

[0026] Further, after the remote control platform receives the performance decline signal, it makes decision adjustment to the planned load shifting execution, and maintains the current process equipment; After receiving the aging acceleration signal, stop the planned load shifting execution, and adjust the process flexibility parameter of the current process of the process equipment, and continuously compare the set value and the measured value of each process state, and perform maintenance if there is deviation.

[0027] Further, the process of the quality evaluation 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, The remote control platform is in communication connection with a load collaborative control unit, an aging early warning unit and a quality evaluation unit; The load collaborative control unit receives the load collaborative control signal, combines the material production area power supply and distribution condition and the material production process execution state, and performs load collaborative control, i.e. planned load migration or anti-disturbance compensation; The aging early warning unit performs aging early warning analysis on the intervention execution stage of the planned load migration; The quality evaluation unit performs quality evaluation on the process production material product.

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 collaborative control unit is as follows: According to the production process, device-level process data is collected, wherein the device-level process data includes: Process state: the current synthesis stage, the target temperature and the target pressure of the current stage, the actual temperature in the cavity and the system oil pressure, the current power of the heater, process flexibility parameters: pre-defined process window; Collect power grid level state data: the power grid level state data includes: total incoming line voltage, current, active power, power factor; power grid capacity parameters: pre-set safety power threshold, voltage allowable fluctuation range; According to the process state and process flexibility parameters reported by all devices, an expected power consumption timeline is generated for each device; all device prediction power timelines are superimposed to generate a future short cluster total power demand prediction curve.

3. A remote control system for a high temperature high pressure method of producing superhard material according to claim 2, characterised in that, According to the recorded total incoming line voltage, the deviation percentage and the change rate of the total incoming line voltage from the rated voltage are obtained; at the same time, the active power is compared with the safety power threshold; According to the trend of the cluster total power demand prediction curve, it is predicted whether there is a time point that exceeds the safety power threshold, if so, the planned load migration is triggered; otherwise, continuous monitoring is performed; The planned load migration means that under the premise of ensuring that the core process of each device is absolutely met, the time of the flexibly adjustable stage is adjusted; under the condition of meeting all device process window constraints, the smooth total power curve is taken as the target for optimization calculation.

4. A remote control system for a high temperature high pressure method of producing superhard material according to claim 3, wherein, The collected voltage deviation percentage and the corresponding change rate are compared: If the voltage deviation percentage exceeds the voltage allowable fluctuation range, or the voltage deviation percentage change rate exceeds the change rate threshold, real-time anti-disturbance compensation is performed; otherwise, if the voltage deviation percentage does not exceed the voltage allowable fluctuation range, and the voltage deviation percentage change rate does not exceed the change rate threshold, monitoring is continued; The anti-disturbance compensation means that when the grid voltage is detected to drop, the remote control platform quickly broadcasts a unified power compensation coefficient to all devices in the heating stage; after receiving the compensation coefficient K, feedforward-feedback compound control is performed in combination with the temperature closed-loop control of the process equipment.

5. A remote control system for a high temperature high pressure method of producing superhard material according to claim 1, characterised in that, The process of the aging early warning unit is as follows: In the planned load migration process, the increase duration of the temperature rising time delay device corresponding to the temperature rising stage is recorded, and the increase span of the temperature rising speed of the temperature rising time advance device corresponding to the temperature rising stage is recorded; and the quantified characteristic parameters of the delay device and the quantified characteristic parameters of the advance device are marked respectively; According to the continuous increase of the planned load migration stage, the peak value of the quantified characteristic parameters of each type of device is recorded and the peak value change rate is collected. The current stage is divided into a feature high float stage and a feature low float stage according to the peak change rate.

6. A remote control system for a high temperature high pressure method of producing superhard material according to claim 5, wherein, A deviation temperature is obtained by comparing the actual temperature in the cavity with the target temperature; a deviation pressure is obtained by comparing the system oil pressure with the target pressure; and a deviation temperature curve and a deviation pressure curve are determined according to the deviation temperature and the deviation pressure at each moment in the stage; The curve overlap part is obtained according to the deviation temperature curve and the deviation pressure curve, and the running stage corresponding to the curve overlap part is obtained and marked as a deviation stage; if the feature high float stage continuously increases and the deviation stage is accompanied by continuous increase, a performance decline signal is generated and sent to the remote control platform; if the feature high float stage continuously increases and the deviation stage is not accompanied by continuous increase, a performance stability signal is generated and sent to the remote control platform; if the feature low float stage continuously increases and the deviation stage is accompanied by continuous increase, an aging intensification signal is generated and sent to the remote control platform; and if the feature low float stage continuously increases and the deviation stage is not accompanied by continuous increase, a continuous monitoring signal is generated and sent to the remote control platform.

7. A remote control system for a high temperature high pressure method of producing superhard material according to claim 6, characterised in that, After receiving the performance decline signal, the remote control platform makes decision adjustment on the planned load shift execution and maintenance of the current process equipment; after receiving the aging intensification signal, the remote control platform stops the planned load shift execution, adjusts the process flexibility parameters of the current process of the process equipment, and continuously compares the set value and the measured value of each process state, and performs maintenance when a deviation occurs.

8. A remote control system for a high temperature high pressure method of producing superhard material according to claim 1, characterised in that, The process of the quality evaluation unit is as follows: According to the continuous monitoring of the actual temperature in the cavity, the final steady-state temperature in the synthetic cavity is obtained; according to the continuous monitoring of the system oil pressure, the final steady-state pressure acting on the synthetic block is obtained; the standard deviation of the system oil pressure in the pressure maintaining stage is obtained; and the final temperature gradient in the heat preservation stage is obtained according to the multi-point temperature monitoring outside the cavity; If the standard deviation of the system oil pressure in the pressure maintaining stage is within the set standard deviation range and the final temperature gradient in the heat preservation stage is within the set temperature gradient range, the current time is taken as an effective holding time; otherwise, if the standard deviation of the system oil pressure in the pressure maintaining stage is not within the set standard deviation range or the final temperature gradient in the heat preservation stage is not within the set temperature gradient range, the current time is taken as a non-effective holding time; The effective holding time under the final temperature and the final pressure is obtained according to the time monitoring.

9. A remote control system for a high temperature high pressure method of producing superhard material according to claim 8, characterised in that, If the continuous duration of the effective holding time in the process processing stage exceeds the holding time threshold and the cumulative duration of the non-effective holding time in the process processing stage is lower than the cumulative duration threshold, a material quality qualified signal is generated and sent to the remote control platform; If the continuous duration of the effective holding time in the process processing stage does not exceed the holding time threshold or the cumulative duration of the non-effective holding time in the process processing stage is not lower than the cumulative duration threshold, a material quality abnormal signal is generated and sent to the remote control platform.

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