Multi-protocol conversion control method and controller for copper liquid air replenishment and drying processing system

Abstract

The present invention relates to the field of data communication technology, and in particular to a multi-protocol conversion control method and controller for a copper liquid air replenishment and drying processing system. The method comprises: adding a time stamp to a data packet; recording the end-to-end transmission delay time of different types of equipment transmitting cross-protocol instructions to a valve controller via a gateway device, and calculating the target effective time offset of the valve control instruction in combination with the ambient temperature of the gateway device; after the protocol conversion is completed, adding forward error correction check information to the determined high-importance data packet, and dynamically adjusting the slice size of the data stream after the protocol conversion according to the temperature. In the present invention, the target effective time offset is intelligently generated to offset the delay caused by network transmission, solve the problem of multiple protocol conversion delays in a high-temperature production environment, add forward error correction by importance grading, inject fault tolerance into high-importance data packets, adaptively optimize the data packet size according to the ambient temperature, and ensure that the data is accurately delivered.

Description

Technical Field

[0001] The present invention relates to the field of data communication technology, and in particular to a multi-protocol conversion control method and a controller for a copper liquid air replenishment and drying processing system. Background Art

[0002] The copper molten aeration and drying system is a core process equipment in copper metallurgical production. It is used to precisely control gas injection during the copper refining and casting processes to optimize material properties. In this system, the coexistence of temperature and flow sensors with multi-protocol devices such as gas valve controllers leads to semantic distortion during the conversion of control commands. This manifests itself in the high-temperature production environment of the copper molten metal, resulting in high delays and bit error rates in the conversion of multiple protocols, reducing the accuracy of the copper molten metal's oxygen content control parameters. Summary of the Invention

[0003] The present invention provides a multi-protocol conversion control method and controller for a copper liquid air replenishment and drying processing system, which can effectively solve the problems in the background technology.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] The multi-protocol conversion control method of the copper liquid air supply and drying processing system includes:

[0006] Add a time stamp to each data packet entering the gateway device from different types of devices, where the time stamp indicates the original generation time of the data packet;

[0007] Record the end-to-end transmission delay time of cross-protocol instructions transmitted from different types of devices to the valve controller after protocol conversion by the gateway device within the recently set number of times;

[0008] Based on the end-to-end transmission delay time and the ambient temperature of the gateway device, an intelligent algorithm is used to calculate the target effective time offset of the valve control instruction, and the target effective time offset is used to compensate for the instruction delay caused by protocol conversion;

[0009] Among them, after the protocol conversion is completed, the importance of the data packets sent to the valve controller is graded, forward error correction information is added to the determined high-importance data packets, and the ambient temperature of the gateway device is monitored in real time, and the slice size of the data stream after the protocol conversion is dynamically adjusted according to the temperature.

[0010] Furthermore, the intelligent algorithm is an LSTM neural network based on time series prediction, the input of which includes the historical end-to-end transmission delay time series, the current ambient temperature of the gateway device, and the device type code, and the output is the target effective time offset.

[0011] Furthermore, the determination of the set number of times includes:

[0012] When the ambient temperature of the gateway device is less than 85°C, the setting number is 50~70 times;

[0013] When the ambient temperature of the gateway device is 85℃≤125℃, the setting number of times is 100~120 times;

[0014] When the ambient temperature of the gateway device is ≥125℃, the setting times are 150~170 times;

[0015] The ambient temperature of the gateway device is read from the temperature sensor in the heat dissipation area of ​​the valve controller.

[0016] Furthermore, the importance classification includes:

[0017] Real-time acquisition of copper liquid temperature gradient and solid-liquid interface advancement rate;

[0018] If the data packet contains the following instructions, it is marked as high importance: gas flow instruction when the copper liquid is in the range of ±10℃ of the eutectic point temperature, and valve opening correction instruction when the solid-liquid interface velocity suddenly changes by more than 5mm / s;

[0019] Other packets are marked as normal.

[0020] Furthermore, the importance classification includes:

[0021] An acoustic emission sensor is deployed on the outer surface of the copper liquid casting mold to capture the broadband acoustic wave signal generated by the collapse of copper liquid cavities in real time;

[0022] Extract the energy integral value and main peak frequency of the acoustic signal in the characteristic frequency band;

[0023] When the energy integral value is greater than a first set threshold value and the main peak frequency is greater than a second set threshold value, the currently transmitted data packet is marked as high importance;

[0024] Other packets are marked as normal.

[0025] Furthermore, the forward error correction check information is encoded using Reed-Solomon (255, 223);

[0026] For data packets of high importance, the encoding is used to correct random errors of no more than 16 bytes or burst errors of 32 bytes in a single data packet.

[0027] Furthermore, the slice size of the data stream after protocol conversion is dynamically adjusted according to the temperature, including:

[0028] Calculate the rate of change of the most recent N end-to-end transmission delays, where N ≥ 10.

[0029] Selecting a slice reference size according to the interval of the change rate;

[0030] The reference size is linearly compensated according to the ambient temperature of the gateway device to obtain a final slice size L, where L is ≥ 32 bytes.

[0031] Furthermore, it also includes:

[0032] The clock deviation between the temperature sensor and the valve controller is calibrated periodically. The calibration period is shortened as the ambient temperature of the gateway device increases.

[0033] Furthermore, the calibration period is:

[0034] When the ambient temperature of the gateway device is ≥85°C, the calibration period is 1 to 5 seconds;

[0035] When the ambient temperature of the gateway device is less than 85°C, the calibration period is 30 to 100 seconds;

[0036] The ambient temperature of the gateway device is read from the temperature sensor in the heat dissipation area of ​​the valve controller.

[0037] The multi-protocol conversion controller for the copper liquid air supply and drying treatment system includes:

[0038] A time stamp generating module configured to embed a time stamp into each data packet entering the gateway device, wherein the time stamp marks the original generation time of the data packet;

[0039] The transmission delay monitoring unit is used to continuously record the end-to-end transmission delay time of different types of devices transmitting cross-protocol instructions to the valve controller after protocol conversion within the recently set number of times;

[0040] an intelligent compensation processor, connected to the ambient temperature sensor, configured to receive the end-to-end transmission delay time and the ambient temperature of the gateway device, and calculate a target effective time offset of the valve control instruction using an intelligent algorithm, wherein the target effective time offset is used to compensate for the instruction delay caused by the protocol conversion;

[0041] Data flow optimization engine, including:

[0042] The importance grading unit performs real-time importance assessment on data packets after protocol conversion and adds forward error correction code to high-importance data packets; and the dynamic slicing unit adjusts the slice size of the data stream in real time according to the ambient temperature of the gateway device.

[0043] The technical solution of the present invention can achieve the following technical effects:

[0044] In the present invention, by marking the original generation time of the data packet, an instruction timing benchmark is established, which can provide a time benchmark for subsequent steps. By recording the end-to-end transmission delay time, the end-to-end delay pattern of cross-protocol conversion can be dynamically captured. By integrating the ambient temperature and delay data, the target effective time offset is intelligently generated as the instruction compensation amount, so that the valve can receive the instruction at the correct time point, offset the delay caused by network transmission, ensure the accurate timing of action, and solve the problem of multiple protocol conversion delays in the high-temperature production environment of copper liquid. In addition, by adding forward error correction through importance grading, fault tolerance can be injected into high-importance data packets, and the valve can repair itself when it receives slightly damaged data; adaptive optimization of the data packet size according to the ambient temperature can also further ensure that the data is accurately delivered, thereby improving the accuracy of the copper liquid oxygen content control parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 This is a flow chart of a multi-protocol conversion control method for a copper liquid air supply and drying processing system;

[0047] Figure 2 This is the architecture diagram of the intelligent algorithm;

[0048] Figure 3 This is a flowchart for the first level of importance;

[0049] Figure 4 This is a flowchart for the second importance classification;

[0050] Figure 5 The flowchart of dynamically adjusting the size of data stream slices after protocol conversion according to temperature. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0052] Example 1

[0053] The multi-protocol conversion control method of the copper liquid air supply and drying processing system includes:

[0054] Add a time stamp to each data packet entering the gateway device from different types of devices, marking the original generation time of the data packet;

[0055] Record the end-to-end transmission delay time of different types of devices transmitting cross-protocol instructions to the valve controller after protocol conversion by the gateway device within the recently set number of times. In this embodiment, the devices refer to temperature sensors and flow sensors;

[0056] Based on the end-to-end transmission delay time and the ambient temperature of the gateway device, an intelligent algorithm is used to calculate the target effective time offset of the valve control instruction. The target effective time offset is used to compensate for the instruction delay caused by protocol conversion.

[0057] Among them, after the protocol conversion is completed, the importance of the data packets sent to the valve controller is graded, forward error correction information is added to the determined high-importance data packets, and the ambient temperature of the gateway device is monitored in real time, and the slice size of the data stream after the protocol conversion is dynamically adjusted according to the temperature.

[0058] In the present invention, by marking the original generation time of the data packet, an instruction timing benchmark is established, which can provide a time benchmark for subsequent steps. By recording the end-to-end transmission delay time, the end-to-end delay pattern of cross-protocol conversion can be dynamically captured. By integrating the ambient temperature and delay data, the target effective time offset is intelligently generated as the instruction compensation amount, allowing the valve to receive the instruction at the correct time point, offsetting the delay caused by network transmission, ensuring accurate action timing, and solving the problem of multiple protocol conversion delays in the high-temperature production environment of copper liquid. During implementation, by adding forward error correction through importance grading, fault tolerance can be injected into high-importance data packets, and the valve can repair itself when receiving slightly damaged data; adaptive optimization of the data packet size according to the ambient temperature can also further ensure that the data is accurately delivered, thereby improving the accuracy of the copper liquid oxygen content control parameters.

[0059] As a preferred embodiment of the above, Figure 2 As shown in the figure, the intelligent algorithm is an LSTM neural network based on time series prediction. The input includes the historical end-to-end transmission delay time series, the current ambient temperature of the gateway device, and the device type code. The output is the target effective time offset.

[0060] In this preferred solution, the historical end-to-end transmission delay time series captures the dynamic delay patterns of protocol conversion, such as delay jitter caused by sudden congestion; the current ambient temperature of the gateway device is used as input, which is directly related to the transmission degradation caused by the decrease in carrier mobility of semiconductor devices under high temperature; and the device type code distinguishes the protocol conversion characteristics of different devices such as sensors and valves.

[0061] During the implementation process, by adopting an LSTM neural network based on time series prediction, its forget gate can automatically discard noise data in the historical delay sequence, such as outliers caused by occasional electromagnetic interference. The input gate is used to learn the delay mutation pattern when the temperature suddenly changes, such as the nonlinear sharp increase in transmission time when the temperature suddenly changes, while the cell state memorizes key rules for a long time, such as the protocol conversion delay baseline of a specific device type at high temperature. By applying the long short-term memory neural network to the high-temperature industrial protocol conversion scenario, using its gating mechanism and time series modeling capabilities, it dynamically learns the nonlinear coupling relationship between historical transmission delays, temperature mutations and device types, and accurately predicts the target effective time offset. This solves the problem of instruction delay accumulation caused by semiconductor thermal drift and protocol heterogeneity in the traditional linear compensation model in the high-temperature environment of copper liquid, and significantly improves the control accuracy of the oxygen content parameters of the copper liquid.

[0062] As a preference of the above embodiment, determining the set number of times includes:

[0063] When the ambient temperature of the gateway device is less than 85°C, the setting number is 50~70 times;

[0064] When the ambient temperature of the gateway device is 85℃≤125℃, the setting number of times is 100~120 times;

[0065] When the ambient temperature of the gateway device is ≥125℃, the setting times are 150~170 times;

[0066] The ambient temperature of the gateway device is read from the temperature sensor in the heat dissipation area of ​​the valve controller.

[0067] From a physical perspective, 85°C is the inflection point of thermal effects in electronic devices. The nonlinear decrease in carrier mobility significantly increases the volatility of transmission delay. When the temperature approaches 125°C, the upper limit of the junction temperature of industrial-grade chips, the hot carrier tunneling effect causes a sharp increase in the bit error rate. It is necessary to suppress random interference by doubling the number of sampling times to avoid inaccurate predictions of fixed times in high-temperature scenarios. In this preferred solution, the temperature threshold is bound to the safety boundary of the semiconductor junction temperature and the inflection point of the carrier characteristics, so that the set number becomes a technical carrier that carries the physical laws, and realizes the symbiotic optimization of control accuracy and system reliability under all working conditions. The temperature data can be specifically derived from the direct monitoring of the heat sink of the valve controller to avoid invalid measurements of ultra-high temperatures in the furnace area.

[0068] Regarding how to implement data packet importance classification, this embodiment provides two classification methods, which can be selected according to actual scenario requirements during implementation; of course, the following methods are only some examples, and other classification methods that meet the technical objectives of the present invention are also within the scope of protection of the present invention:

[0069] The first method

[0070] like Figure 3 As shown, the importance rating includes:

[0071] Real-time acquisition of copper liquid temperature gradient and solid-liquid interface advancement rate;

[0072] If the data packet contains the following instructions, it is marked as high importance: gas flow instruction when the copper liquid is in the range of ±10℃ of the eutectic point temperature, and valve opening correction instruction when the solid-liquid interface velocity suddenly changes by more than 5mm / s;

[0073] Other packets are marked as normal.

[0074] During the implementation of this method, the oxygen diffusion coefficient of the copper liquid increases sharply near the eutectic temperature. Minor deviations in gas control will lead to grain boundary oxidation. Setting the gas flow instruction at this time to the highest level ensures improved oxygen control accuracy and reduced intergranular oxidation defect rate. In order to address solute retention caused by sudden changes in the solid-liquid interface rate, millisecond-level adjustment of the valve opening is required to compensate. Prioritizing the correction instructions can improve the quality of the final copper material, specifically avoiding macrosegregation and improving the ductility of the copper material.

[0075] Second method

[0076] like Figure 4 As shown, the importance rating includes:

[0077] An acoustic emission sensor is deployed on the outer surface of the copper liquid casting mold to capture the broadband acoustic wave signal generated by the collapse of copper liquid cavities in real time;

[0078] Extract the energy integral value and main peak frequency of the acoustic signal in the characteristic frequency band;

[0079] When the energy integral value is greater than a first set threshold value and the main peak frequency is greater than a second set threshold value, the currently transmitted data packet is marked as high importance;

[0080] Other packets are marked as normal.

[0081] During the implementation of this method, the mold is the solidification carrier of the copper liquid, and its surface can capture the stress wave transmitted by the collapse of the cavities inside the copper liquid. The first set threshold value for the energy integral value can be selected based on the critical point of the surface tension of the copper liquid that the cavity collapse impact can break through, and the second set threshold value for the main peak frequency can be selected based on the threshold of the resonance frequency of the cavity group. The two together serve as limiting conditions to directly capture the cavity collapse sound wave inside the copper liquid. The time from detection to completion of the importance mark can be controlled to be earlier than the window period for micropore formation. The acoustic sensor is installed on the outer surface of the mold and is compatible with molds of any material. The equipment improvement cost is low, and the dual-threshold judgment method reduces the scrap rate of the final copper material.

[0082] As a further optimization of the above two methods, the forward error correction information is encoded using Reed-Solomon(255, 223); for high-importance data packets, random errors of no more than 16 bytes or burst errors of 32 bytes can be corrected within a single data packet through encoding.

[0083] In this preferred method, the 16-byte random error correction ability covers the electromagnetic interference of the frequency converter, and the 32-byte burst error correction ability deals with the communication interruption caused by copper liquid splashing. During the implementation process, by defining the Reed-Solomon(255, 223) encoding and clarifying the error correction capabilities of 16-byte random errors and 32-byte burst errors, the system can accurately match the strong interference environment of the copper smelting workshop.

[0084] As a preference of the above embodiment, as Figure 5 shown, the slice size of the data stream after protocol conversion is dynamically adjusted according to the temperature, including:

[0085] A1: Calculate the change rate V of the end-to-end transmission delay time in the most recent N times, N≥10;

[0086] Specifically, arrange the delay time data in the most recent N times in time order as D1, D2,..., D N , with the unit of ms; calculate the delay change amount ΔD = D1−D N ; calculate the time span Δt, with the unit of s; according to V = ΔD / Δt, obtain the change rate V;

[0087] A2: Select the slice reference size L base , with the unit of byte;

[0088] In this step, specifically when V≤5ms / s, let L base = 256 bytes, when 5ms / s < V≤20ms / s, let L base = 128 bytes, when V>20ms / s, let L base = 64 bytes;

[0089] A3: Perform linear compensation on the reference size L base according to the environmental temperature T of the gateway device to obtain the final slice size L, and L≥32 bytes. As a specific compensation method, the following formula can be used to calculate the final size L, with the unit of T in °C:

[0090] , T≥25°C;

[0091] , T<25°C.

[0092] In this embodiment, the choice of 25°C is based on the optimal operating temperature of the gateway's main control chip. Using a denominator of 100 allows the slice size to be adjusted by 1% for every 1°C deviation in temperature, achieving relatively smooth temperature adjustment. This preferred solution achieves intelligent slice size optimization by collaboratively analyzing the dynamic trends of the last N historical transmission delays and the impact of ambient temperature.

[0093] Through the above specific compensation method, it can be seen that under relatively high temperature conditions, the slice size is reduced. This method can shorten the single-packet transmission time, reduce the probability of signal distortion caused by high-temperature thermal noise, and suppress the timing jitter caused by the increase in the carrier mobility of the gateway chip; under relatively low temperature conditions, the slice size is increased, the proportion of valid data is increased, the number of packets sent per unit time is reduced, the gateway CPU interrupt response time is shortened, and the single-packet data volume is increased, thereby improving the efficiency of the error correction code.

[0094] In the present invention, a hardware timestamp unit can be integrated into the protocol conversion chip of the gateway device to add a microsecond time stamp to each data packet entering the gateway device. The time stamp system relies on a precise clock. To avoid the problem of clock inaccuracy, as a preferred embodiment of the above, the multi-protocol conversion control method of the copper liquid gas replenishment and drying processing system also includes:

[0095] The clock deviation between the temperature sensor and the valve controller is calibrated periodically. The calibration period is shortened as the ambient temperature of the gateway device increases.

[0096] The reliability of the original generated time can be guaranteed by calibrating the deviation. Temperature increase exacerbates the thermal drift of the clock circuit. Shortening the calibration cycle can offset the cumulative timing error caused by temperature increase in real time, ensuring the accuracy of the time scale system. Intensive calibration at high temperatures ensures accuracy, while extending the cycle at low temperatures reduces the gateway load. By establishing a mapping relationship between temperature and calibration cycle, active stabilization of clock accuracy can be achieved in uncontrollable thermal environments. As a specific implementation example, the calibration cycle is:

[0097] When the ambient temperature of the gateway device is ≥85°C, the calibration period is 1 to 5 seconds;

[0098] When the ambient temperature of the gateway device is less than 85°C, the calibration period is 30 to 100 seconds;

[0099] The ambient temperature of the gateway device is read from the temperature sensor in the heat dissipation area of ​​the valve controller.

[0100] Example 2

[0101] The multi-protocol conversion controller for the copper liquid air supply and drying treatment system includes:

[0102] A time stamp generating module is configured to embed a time stamp into each data packet entering the gateway device, where the time stamp marks the original generation time of the data packet;

[0103] The transmission delay monitoring unit is used to continuously record the end-to-end transmission delay time of different types of devices transmitting cross-protocol instructions to the valve controller after protocol conversion within the recently set number of times;

[0104] An intelligent compensation processor, connected to an ambient temperature sensor, is configured to receive the end-to-end transmission delay time and the ambient temperature of the gateway device, and use an intelligent algorithm to calculate a target effective time offset of the valve control instruction. The target effective time offset is used to compensate for the instruction delay caused by the protocol conversion;

[0105] Data flow optimization engine, including:

[0106] The importance grading unit performs real-time importance assessment on data packets after protocol conversion and adds forward error correction code to high-importance data packets; and the dynamic slicing unit adjusts the slice size of the data stream in real time according to the ambient temperature of the gateway device.

[0107] The technical effects achieved by this embodiment are the same as those of the first embodiment and will not be described again here.

[0108] Those skilled in the art will appreciate that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-protocol conversion control method for a copper liquid air supply and drying processing system, characterized in that: include: Add a time stamp to each data packet entering the gateway device from different types of devices, where the time stamp indicates the original generation time of the data packet; Record the end-to-end transmission delay time of cross-protocol instructions transmitted from different types of devices to the valve controller after protocol conversion by the gateway device within the recently set number of times; Based on the end-to-end transmission delay time and the ambient temperature of the gateway device, an intelligent algorithm is used to calculate the target effective time offset of the valve control instruction, and the target effective time offset is used to compensate for the instruction delay caused by protocol conversion; Among them, after the protocol conversion is completed, the importance of the data packets sent to the valve controller is graded, forward error correction information is added to the determined high-importance data packets, and the ambient temperature of the gateway device is monitored in real time, and the slice size of the data stream after the protocol conversion is dynamically adjusted according to the temperature.

2. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 1, characterized in that: The intelligent algorithm is an LSTM neural network based on time series prediction. Its input includes the historical end-to-end transmission delay time series, the current ambient temperature of the gateway device, and the device type code. The output is the target effective time offset.

3. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 1, characterized in that: Determining the set number of times includes: When the ambient temperature of the gateway device is less than 85°C, the setting number is 50~70 times; When the ambient temperature of the gateway device is 85℃≤125℃, the setting number of times is 100~120 times; When the ambient temperature of the gateway device is ≥125℃, the setting times are 150~170 times; The ambient temperature of the gateway device is read from the temperature sensor in the heat dissipation area of ​​the valve controller.

4. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 1, characterized in that: The importance levels include: Real-time acquisition of copper liquid temperature gradient and solid-liquid interface advancement rate; If the data packet contains the following instructions, it is marked as high importance: gas flow instruction when the copper liquid is in the range of ±10℃ of the eutectic point temperature, and valve opening correction instruction when the solid-liquid interface velocity suddenly changes by more than 5mm / s; Other packets are marked as normal.

5. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 1, characterized in that: The importance levels include: An acoustic emission sensor is deployed on the outer surface of the copper liquid casting mold to capture the broadband acoustic wave signal generated by the collapse of copper liquid cavities in real time; Extract the energy integral value and main peak frequency of the acoustic signal in the characteristic frequency band; When the energy integral value is greater than a first set threshold and the main peak frequency is greater than a second set threshold, the currently transmitted data packet is marked as high importance; Other packets are marked as normal.

6. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 4 or 5, characterized in that: The forward error correction check information is encoded using Reed-Solomon (255, 223); For data packets of high importance, the encoding is used to correct random errors of no more than 16 bytes or burst errors of 32 bytes in a single data packet.

7. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 1, characterized in that: Dynamically adjust the slice size of the data stream after protocol conversion based on temperature, including: Calculate the rate of change of the most recent N end-to-end transmission delays, where N ≥ 10. Selecting a slice reference size according to the interval of the change rate; The reference size is linearly compensated according to the ambient temperature of the gateway device to obtain a final slice size L, where L is ≥ 32 bytes.

8. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 1, characterized in that: Also includes: The clock deviation between the temperature sensor and the valve controller is calibrated periodically. The calibration period is shortened as the ambient temperature of the gateway device increases.

9. The multi-protocol conversion control method for the copper liquid gas supplementation and drying processing system according to claim 8, characterized in that: The calibration period is: When the ambient temperature of the gateway device is ≥85°C, the calibration period is 1 to 5 seconds; When the ambient temperature of the gateway device is less than 85°C, the calibration period is 30 to 100 seconds; The ambient temperature of the gateway device is read from the temperature sensor in the heat dissipation area of ​​the valve controller.

10. A multi-protocol conversion controller for a copper liquid air supply and drying treatment system, characterized in that: include: A time stamp generating module configured to embed a time stamp into each data packet entering the gateway device, wherein the time stamp marks the original generation time of the data packet; The transmission delay monitoring unit is used to continuously record the end-to-end transmission delay time of different types of devices transmitting cross-protocol instructions to the valve controller after protocol conversion within the recently set number of times; an intelligent compensation processor, connected to the ambient temperature sensor, configured to receive the end-to-end transmission delay time and the ambient temperature of the gateway device, and calculate a target effective time offset of the valve control instruction using an intelligent algorithm, wherein the target effective time offset is used to compensate for the instruction delay caused by the protocol conversion; Data flow optimization engine, including: Importance grading unit, which performs real-time importance assessment on data packets after protocol conversion and adds forward error correction code to high-importance data packets; And, the dynamic slicing unit adjusts the slice size of the data stream in real time according to the ambient temperature of the gateway device.

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