A method for optimizing process parameters of melt conveying process

Abstract

The present invention discloses a method for optimizing process parameters of a melt conveying process, which relates to the technical field of melt conveying optimization, and comprises the following steps: setting a suitable melt temperature range and a melt temperature threshold range according to basic properties of the melt; monitoring and collecting the melt inlet and outlet temperature flows and the heat medium inlet and outlet temperature flows of a heat exchanger to obtain melt temperature flow data and heat medium temperature flow data; processing the melt temperature flow data to obtain melt temperature change information; based on the melt temperature change information and the melt temperature threshold, controlling the heat medium flow and the heat medium temperature, and monitoring the operating status of the heat exchanger; the present invention is used to solve the problem in the existing melt conveying optimization technology that the method for directly controlling the temperature of the melt heat exchanger cannot well meet the temperature requirements of the melt conveying in terms of accuracy, and cannot timely monitor the operating status of the heat exchanger while performing temperature control.

Description

Technical Field

[0001] The present invention relates to the technical field of melt conveying optimization, and in particular to a method for optimizing process parameters of a melt conveying process. Background Art

[0002] In industrial production, melt conveying is a key link. Melts usually have characteristics such as high temperature and high viscosity, and are prone to temperature changes and pressure fluctuations during the conveying process. If these problems are not properly resolved, they will affect product quality. Melt conveying optimization technology refers to a combination of technical means and methods aimed at improving the efficiency, stability, accuracy and quality of the melt conveying process.

[0003] Existing melt conveying usually requires a booster pump for pressurized conveying. After the melt passes through the booster pump, the melt temperature increases, aggravating the molecular degradation of the melt and affecting the melt quality. Under normal circumstances, the melt has a high temperature after passing through the booster pump, and is naturally dissipated during direct transportation through a long pipeline. In this process, a large amount of heat is heated to the melt, and the melt degrades due to the temperature increase, which has a great impact on the quality of subsequent spinning. Adding a melt heat exchanger after the booster pump to adjust the melt temperature to the temperature required by the process can greatly reduce the problem of melt degradation due to temperature increase. The temperature control of the melt heat exchanger is divided into direct temperature control and adaptive control. Among them, the adaptive temperature is generally controlled by PID technology, which monitors the operating status of the melt heat exchanger in real time and automatically adjusts the control parameters to achieve output Precise control of the temperature of the outlet. For example, the patent application with publication number CN116140593A discloses a method for controlling the solidification conditions of an electrostatically suspended alloy melt. This scheme realizes the control of the alloy melt temperature by combining the heat balance equation with the PID temperature control system. Although the temperature can be accurately controlled, the cost is high, and the anti-interference ability and dynamic response performance are insufficient. Although the melt conveying process has certain requirements on the temperature, the requirements for the accuracy of temperature control are not high. Therefore, simple, efficient and low-cost direct temperature control is more suitable for the temperature control of the melt heat exchanger. However, the method of direct temperature control of the melt heat exchanger in the existing melt conveying optimization technology cannot meet the temperature requirements of the melt conveying in terms of accuracy, and the operating status of the heat exchanger cannot be monitored in time while the temperature control is being performed. Summary of the Invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by monitoring and collecting the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger, and performing data processing to obtain melt temperature change information; based on the melt temperature change information and the melt temperature threshold, the heat medium flow rate and the heat medium temperature are controlled, and the operating status of the heat exchanger is monitored; so as to solve the problem that the method of direct temperature control of the melt heat exchanger in the existing melt conveying optimization technology cannot meet the temperature requirements of melt conveying well in terms of accuracy, and cannot timely monitor the operating status of the heat exchanger while performing temperature control.

[0005] To achieve the above objectives, in a first aspect, the present application provides a method for optimizing process parameters of a melt conveying process, comprising the following steps:

[0006] Set the suitable melt temperature range and melt temperature threshold range according to the basic properties of the melt;

[0007] Monitor and collect the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger to obtain melt temperature flow rate data and heat medium temperature flow rate data;

[0008] Process the melt temperature flow data to obtain melt temperature change information;

[0009] Based on the melt temperature change information and melt temperature threshold, the heat medium flow and heat medium temperature are controlled, and the operating status of the heat exchanger is monitored.

[0010] Furthermore, collecting normal electrical stimulation signals of normal muscles in different states and obtaining normal signal parameters includes the following sub-steps:

[0011] Obtain the bending angle range of normal muscles, and name the minimum value and maximum value of the bending angle range as the minimum bending angle and the maximum bending angle, respectively;

[0012] Set the angle grouping of the first grouping number, calculate (Amax-Amin) / (a-1), and obtain the angle gradient, which is represented by the symbol AG, where Amax is the maximum bending angle, Amin is the minimum bending angle, and a is the first grouping number;

[0013] The angle grouping includes grouped angles, and the grouped angles are sorted in order from small to large, and the symbol S n Indicates, where n is a positive integer and n is the serial number of S, the S n The corresponding grouping angle is Amin+(n-1)×AG;

[0014] A perception test is performed on the angle groups, and normal signal parameters are obtained by analyzing the results of the perception test.

[0015] Further, obtaining the basic parameters of the heat exchanger and setting the suitable temperature range and the temperature threshold range of the melt includes the following sub-steps:

[0016] According to the basic property parameters of the melt, set the suitable temperature range of the melt, marked as [T0, T1]; based on the suitable temperature range of the melt, set the first upper temperature limit, marked as TU1; set the second upper temperature limit, marked as TU2; set the first lower temperature limit, marked as TL1; set the second lower temperature limit, marked as TL2, where T0 < TU1 < TU2, TU1 < TU2 = T1, T0 = TL2 < TL1, TL2 < TL1 < TU1; mark the range formed by the first upper temperature limit TU1 and the first lower temperature limit TL1 as the first melt temperature range, denoted as [TL1, TU1], and mark the range formed by the second upper temperature limit TU2 and the second lower temperature limit TL2 as the second melt temperature range, denoted as [TL2, TU2];

[0017] Mark the first melt temperature range and the second melt temperature range as the melt temperature threshold range.

[0018] Further, monitoring and collecting the melt inlet and outlet temperature and flow rates and the heat medium inlet and outlet temperature and flow rates of the heat exchanger to obtain the melt temperature and flow rate data and the heat medium temperature and flow rate data includes the following sub-steps:

[0019] Monitoring and collecting the melt inlet and outlet temperature and flow rates: At the first time period with the first time interval, collect in real time the melt temperature at the melt inlet of the heat exchanger, the melt temperature at the melt outlet, and the melt flow rate. The first time period is y1, and the first time interval is x1. Mark the melt temperature at the melt inlet as T1hi, mark the melt temperature at the melt outlet as T2hi, and mark the melt flow rate of the heat exchanger as Mhi, where i represents the i-th moment; mark the melt temperature T1hi at the melt inlet, the melt temperature T2hi at the melt outlet, and the melt flow rate Mhi of the heat exchanger as the melt temperature and flow rate data.

[0020] Further, monitoring and collecting the melt inlet and outlet temperature and flow rates and the heat medium inlet and outlet temperature and flow rates of the heat exchanger to obtain the melt temperature and flow rate data and the heat medium temperature and flow rate data further includes the following sub-steps:

[0021] Monitoring and collection of heat medium inlet and outlet temperature and flow: The heat medium temperature at the heat medium inlet, the heat medium temperature at the melt outlet, and the heat medium flow of the heat exchanger are collected in real time at a first time interval during a first time period. The heat medium temperature at the heat medium inlet is marked as T1ci, the heat medium temperature at the heat medium outlet is marked as T2ci, and the heat medium flow of the heat exchanger is marked as Mci; the heat medium temperature at the heat medium inlet T1ci, the heat medium temperature at the heat medium outlet T2ci, and the heat medium flow of the heat exchanger Mci are marked as heat medium temperature and flow data.

[0022] Furthermore, processing the melt temperature flow data and the heat medium temperature flow data to obtain melt temperature change information includes the following sub-steps:

[0023] Based on the melt temperature flow data, the melt temperature T2hi at the melt outlet within a time period is sorted according to the collection time, and recorded as the first melt temperature sequence [T2h1, T2h2, T2h3, ..., T2hn], where n represents a total of n temperature data within a time period, and a sliding window is set, the sliding window size is set to z, the sliding step is k, and the sliding window slides k steps each time to take values in the first melt temperature sequence, and the temperature data obtained from each sliding is weighted averaged to obtain the average value, which is recorded as H2hj, where j represents the jth sliding in the first melt temperature sequence; H2hj is sorted in the order of value taking, marked as the second melt temperature sequence, recorded as [H2h1, H2h2, H2h3, ..., H2hv], where v represents a total of v data in the second melt temperature sequence.

[0024] Furthermore, processing the melt temperature flow data and the heat medium temperature flow data to obtain melt temperature change information further includes the following sub-steps:

[0025] Based on the second melt temperature sequence, the average value of the second melt temperature sequence [H2h1, H2h2, H2h3, ..., H2hv] is calculated and recorded as H2h0; then the overall slope of the second melt temperature sequence is calculated using the slope calculation formula; the slope calculation formula is as follows: Where E0 is the overall slope of the second melt temperature series, v0 is the average value of the subscripts of the second melt temperature series [H2h1, H2h2, H2h3, …, H2hv];

[0026] The last average temperature value H2hv of the second temperature series is marked as E1.

[0027] Furthermore, based on the melt temperature change information and the melt temperature threshold, controlling the heat medium flow rate and the heat medium temperature includes the following sub-steps:

[0028] Improve the heat medium input pipeline of the heat exchanger, change the single pipeline inlet of the heat medium input pipeline to two identical pipeline inlets, connect one of the two pipeline inlets to the heat medium and the other to the refrigerant; flow control valves are configured at the two pipeline inlets.

[0029] Further, controlling the heat medium flow rate and the heat medium temperature based on the melt temperature change information and the melt temperature threshold further includes the following sub-steps:

[0030] Set the first slope threshold as R1, the second slope threshold as R2, and R2≥R1;

[0031] When E1 is within the first melt temperature range: If R2>E0≥R1 and R2>E0≥R1 in the previous first time period, increase the flow rate of the heat medium; if R2>|E0|≥R1, 0>E0 and R2>|E0|≥R1, 0>E0 in the previous first time period, decrease the flow rate of the heat medium;

[0032] If E0≥R2, increase the flow rate of the heat medium; if |E0|≥R2, 0>E0, decrease the flow rate of the heat medium;

[0033] If R1>E0>0 and R1>E0>0 in the previous two first time periods, increase the flow rate of the heat medium; if |E0|<R1, 0>E0 and |E0|<R1, 0>E0 in the previous two first time periods, decrease the flow rate of the heat medium;

[0034] When E1 is within the second melt temperature range and not within the first melt temperature range: If R2>E0≥R1 and E1>TU1, increase the flow rate of the heat medium; if R2>|E0|≥R1, 0>E0 and E1<TL1, decrease the flow rate of the heat medium; if R1>E0>0 and E1>TU1 and R1>E0>0 in the previous first time period, increase the flow rate of the heat medium; if |E0|<R1, 0>E0 and E1<TL1 and |E0|<R1, 0>E0 in the previous first time period, decrease the flow rate of the heat medium;

[0035] If E0≥R2 and E1>TU1, increase the flow rate of the heat medium and open the flow control valve of the refrigerant; if |E0|≥R2, 0>E0 and E1<TL1, decrease the flow rate of the heat medium;

[0036] When E1 is not within the second melt temperature range: If E1>TU2, increase the flow rate of the heat medium and open the flow control valve of the refrigerant; if E1<TL2, close the flow control valve of the heat medium.

[0037] Further, monitoring the operating state of the heat exchanger includes the following sub-steps:

[0038] Based on the melt temperature and flow rate data, as well as the heat medium temperature and flow rate data, obtain the melt temperature T1hi at the melt inlet, the melt temperature T2hi at the melt outlet at each acquisition moment within the first time period. Mark the melt flow rate of the heat exchanger as Mhi, the heat medium temperature T1ci at the heat medium inlet, the heat medium temperature T2ci at the heat medium outlet, and the heat medium flow rate Mci of the heat exchanger; then calculate the heat transfer efficiency per unit time at each acquisition moment within the first time period, and obtain the average heat transfer efficiency, marked as N1c, where c represents the average heat transfer efficiency of the c-th first time period; then calculate the average value of all N1c within the second time period, marked as N0c, and the second time period is y2.

[0039] Within the second time period, obtain the heat medium density value at the heat medium outlet of the heat exchanger at the second time interval, marked as Q1b, where b represents the b-th acquisition; obtain the heat medium density value at the heat medium outlet, marked as Q2b, and calculate the difference between the heat medium density value Q2b and the heat medium density value Q1b. The calculation formula is Q3b = Q2b - Q1b, where Q3b is the difference between the heat medium density value Q2b and the heat medium density value Q1b, and the second time interval is x2; calculate the average value of all Q3b within the second time period, marked as Q0b.

[0040] Furthermore, monitoring the operating state of the heat exchanger further includes the following sub-steps:

[0041] Divide the operating state of the heat exchanger into excellent state, good state, general state, and poor state;

[0042] Set the density difference thresholds Qy1 and Qy2, where Qy1 < Qy2; set the average heat transfer efficiency thresholds Ny1 and Ny2, where Ny1 > Ny2;

[0043] When Q0b > Qy1, let A1 = 2; when Qy1 < Q0b < Qy2, let A1 = 1; when Qy2 < Q0b, let A1 = 0;

[0044] When N0c > Ny1, let A2 = 2; when Ny2 < N0c < Ny1, let A2 = 1; when N0c < Ny2, let A2 = 0;

[0045] When A2 = A1 = 2 or A2 = 2 and A1 = 1, determine that the operating state of the heat exchanger is in an excellent state;

[0046] When A2 = 2 and A1 = 0 or A2 = 1 and A1 = 2 or A2 = A1 = 1, determine that the operating state of the heat exchanger is in a good state;

[0047] When A2 = 1 and A1 = 0 or A2 = 0 and A1 = 2, determine that the operating state of the heat exchanger is in a general state;

[0048] When A2=0 and A1=1 or A2=A1=0, it is determined that the operating state of the heat exchanger is poor.

[0049] Beneficial effects of the present invention: The present invention sets a suitable melt temperature range and a melt temperature threshold range according to the basic properties of the melt; monitors and collects the melt inlet and outlet temperature flows and the heat medium inlet and outlet temperature flows of the heat exchanger to obtain melt temperature flow data and heat medium temperature flow data; processes the melt temperature flow data to obtain melt temperature change information; based on the melt temperature change information and the melt temperature threshold, controls the heat medium flow and heat medium temperature, and monitors the operating status of the heat exchanger; directly controls the temperature of the heat exchanger, which can well meet the temperature requirements of melt transportation in terms of accuracy, and timely monitors the operating status of the heat exchanger while performing temperature control. The method is simple, efficient and low-cost;

[0050] The present invention performs weighted averaging on the collected heat exchanger melt outlet temperatures by setting a sliding window; it can remove short-term fluctuations in temperature data and reduce the impact of single-point data fluctuations, such as short-term fluctuations caused by sensor jitter and external environmental influences, thereby more clearly displaying the trend of melt temperature changes and improving the accuracy of heat exchanger temperature control; by calculating the heat exchange efficiency and the heat medium density difference to monitor the operating status of the heat exchanger, it can be understood in real time whether the heat exchanger is operating normally, and measures can be taken before the heat exchanger performance is seriously degraded, thereby reducing failure problems in the melt transportation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the steps of the method of the present invention;

[0052] Figure 2 It is a schematic diagram of the sliding window of the present invention;

[0053] Figure 3 Schematic diagram of the heat exchanger structure of the present invention;

[0054] Figure 4 Schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0056] Example 1, please refer to Figure 1As shown, in a first aspect, the present application provides a method for optimizing process parameters of a melt conveying process, comprising the following steps:

[0057] Step S1, setting the melt suitable temperature range and melt temperature threshold range according to the basic properties of the melt; Step S1 includes the following sub-steps:

[0058] Step S101: Set the melt's suitable temperature range based on the basic properties of the melt, denoted as [T0, T1]. The suitable melt temperature range [T0, T1] is subsequently used as a criterion for determining the melt outlet temperature of the heat exchanger. Different melts have different suitable processing temperature ranges. For example, the processing temperature of low-density polyethylene is generally between 160-210°C, and the processing temperature range of PP is approximately between 180-240°C.

[0059] Step S102, setting a first upper temperature limit based on the suitable temperature range of the melt, marked as TU1;

[0060] Step S103, setting a second upper temperature limit, marked as TU2;

[0061] Step S104, setting a first temperature lower limit, marked as TL1;

[0062] Step S105, set the second lower temperature limit, marked as TL2, where T0 <TU1<TU2,TU1<TU2=T1,T0=TL2<TL1,TL2<TL1<TU1;

[0063] Step S106 , marking the range formed by the first upper temperature limit TU1 and the first lower temperature limit TL1 as a first melt temperature range, recorded as [TL1, TU1];

[0064] Step S107: Mark the range formed by the second upper temperature limit TU2 and the second lower temperature limit TL2 as the second melt temperature range, recorded as [TL2, TU2]. The second melt temperature range is equal to the suitable melt temperature range [T0, T1], and the second melt temperature range includes the first melt temperature range. When setting the first upper temperature limit and the first lower temperature limit, it is generally ensured that the first melt temperature range accounts for 40% to 60% of the second melt temperature range. For example, in this embodiment, the suitable melt temperature range is [270°C, 295°C], so TU2 = 295°C, TL2 = 270°C, TU1 = 289°C, TL1 = 276°C; therefore, the first melt temperature range is [276°C, 289°C].

[0065] Step S108, marking the first melt temperature range and the second melt temperature range as melt temperature threshold ranges;

[0066] During the specific implementation process, after the melt passes through the heat exchanger, it must be transported through the pipeline before it can be processed. The heat will be further dissipated when passing through the pipeline. Therefore, when setting the suitable temperature range of the melt, it should be slightly higher than the optimal processing temperature of the melt, so that the melt is at the optimal processing temperature when it passes through the subsequent pipeline to reach the processing equipment. However, it should not be too higher than the optimal processing temperature. Excessively high temperature may cause thermal degradation of the molecular chain of the melt, resulting in a decrease in the quality of the product. For example, in this embodiment, the melt used is nylon 66. The optimal processing temperature of nylon 66 is usually between 260-290°C, and exceeding 300°C may cause thermal degradation of nylon 66, resulting in a decrease in the strength, toughness and other properties of the product. Therefore, the suitable temperature range of the melt is set to [270°C, 295°C].

[0067] Step S2, monitoring and collecting the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger to obtain melt temperature flow rate data and heat medium temperature flow rate data; Step S2 includes the following sub-steps:

[0068] Step S201, monitoring and collecting melt inlet and outlet temperature and flow rate; Step S201 includes the following sub-steps:

[0069] Step S2011, in a first time period and at a first time interval, real-time data are collected on the melt temperature at the melt inlet and melt outlet of the heat exchanger, as well as the melt flow rate. The flow rate refers to the amount of fluid passing through a certain cross section per unit time. This amount can be measured by volume, which is called volume flow rate and is represented by the symbol, with the unit being cubic meters per second (m 3 / s) or liters per second (L / s), etc.; it can also be measured by mass, called mass flow rate, represented by the symbol, and the unit is kilograms per second (kg / s). In this embodiment, the unit is kilograms per second (kg / s); the first time period is y1, and the first time interval is x1. In this embodiment, the first time period y1 is 120 seconds, and the first time interval x1 is 5 seconds, that is, data is collected once per second, and 24 data are collected in one period;

[0070] Step S2012, marking the melt temperature at the melt inlet as T1hi, marking the melt temperature at the melt outlet as T2hi, and marking the melt flow rate of the heat exchanger as Mhi, where i represents the i-th moment;

[0071] Step S2013, marking the melt temperature T1hi at the melt inlet, the melt temperature T2hi at the melt outlet, and the melt flow rate Mhi of the heat exchanger as melt temperature and flow rate data;

[0072] Step S202: monitoring and collecting the heat medium inlet and outlet temperature and flow rate; Step S202 includes the following sub-steps:

[0073] Step S2021, collecting the heat medium temperature at the heat medium inlet, the heat medium temperature at the melt outlet, and the heat medium flow rate of the heat exchanger in real time at first time intervals during a first time period;

[0074] Step S2022: mark the heat medium temperature at the heat medium inlet as T1ci, the heat medium temperature at the heat medium outlet as T2ci, and the heat medium flow rate of the heat exchanger as Mci;

[0075] Step S2023: Mark the heat medium temperature T1ci at the heat medium inlet, the heat medium temperature T2ci at the heat medium outlet, and the heat medium flow rate Mci of the heat exchanger as heat medium temperature and flow rate data;

[0076] In the specific implementation process, temperature sensors are generally used for temperature measurement. Temperature sensors include thermocouples, thermal resistors, and semiconductor temperature sensors. Among them, thermal resistors have high measurement accuracy and good stability. Over long-term use, the resistance value changes little, and can provide reliable temperature measurement. However, thermal resistors have a relatively slow response speed. Semiconductor temperature sensors are small in size and light in weight, making them easy to install in confined spaces or in situations where distributed measurement is required. However, the measurement range of semiconductor temperature sensors is relatively narrow, generally around -50°C to 150°C, while the melt temperature is generally greater than 150°C. Although thermocouples have relatively low measurement accuracy, they have a wide measurement range and can adapt to different temperature environments such as high and low temperatures. They also have a fast response speed and can quickly reflect temperature changes, making them suitable for dynamic temperature measurement. In addition, thermocouples have a simple structure, are durable and not easily damaged, and can operate stably for a long time in harsh industrial environments. For temperature measurement at fluid inlets and outlets and heat medium inlets, where high measurement accuracy is not required, thermocouples are generally used for temperature measurement.

[0077] Step S3, processing the melt temperature flow data to obtain melt temperature change information; Step S3 includes the following sub-steps:

[0078] Step S301: Based on the melt temperature flow data, the melt temperatures T2hi at the melt outlet within a time period are sorted according to the collection time, and recorded as the first melt temperature sequence [T2h1, T2h2, T2h3, ..., T2hn], where n represents a total of n temperature data within a time period. In this embodiment, the first time period y1 is 120 seconds, and the first time interval x1 is 5 seconds, that is, data is collected once per second, and 24 data are collected in one period, so n = 24;

[0079] Step S302: Set a sliding window, set the sliding window size to z, and the sliding step size to k. The sliding window size cannot be larger than n, nor too close to n, otherwise the temperature change trend cannot be reflected in the subsequent processing. Generally, it is 2, 3, and 4. The sliding step size k should not be too large, otherwise it will remove part of the temperature change trend while removing the short-term fluctuations in the temperature data. In this embodiment, z is 3 and k is 1, that is, one data point is removed each time.

[0080] Step S303, please refer to Figure 2 As shown, the sliding window slides k steps each time to take values in the first melt temperature sequence, and the temperature data obtained from each slide are weighted averaged to obtain the average value, which is recorded as H2hj, where j represents the jth slide in the first melt temperature sequence; the weighted average is to assign different weights to the temperatures in a sliding window, that is, the proportional coefficient. Generally, the more recent the data, the greater the weight, which can better reflect the timeliness of the data and improve the accuracy of subsequent temperature control. For example, the sliding window size z is 3, the data in a certain sliding window is T2h2=278.8℃, T 2h3=279.2℃, T2h4=279.9℃. Usually, the average value is calculated, and the proportional coefficient of the three is 1 / 3. Because the collection time of T2h4 is closer than that of T2h3, and the collection time of T2h3 is closer than that of T2h2, we assign a proportional coefficient of 0.5 to T2h4, a proportional coefficient of 0.3 to T2h3, and a proportional coefficient of 0.2 to T2h2. Therefore, the weighted average is H2h2=0.5*279.9+0.3*279.2+0.2*278.8=279.47℃.

[0081] Step S304: sort H2hj in order of value and mark them as the second melt temperature sequence, denoted as [H2h1, H2h2, H2h3, ..., H2hv], where v represents a total of v data in the second melt temperature sequence. In this embodiment, n = 24, the sliding window size z = 3, and the sliding step size k = 1, so v = n-z+1 = 22;

[0082] Step S305, based on the second melt temperature sequence, calculating the average value of the second melt temperature sequence [H2h1, H2h2, H2h3, ..., H2hv], recorded as H2h0;

[0083] In step S306, the overall slope of the second melt temperature sequence is calculated using a slope calculation formula; the slope calculation formula is as follows: Wherein, E0 is the overall slope of the second melt temperature sequence, v0 is the average value of the subscripts of the second melt temperature sequence [H2h1, H2h2, H2h3, ..., H2hv]; E0 reflects the change trend and change speed of the melt temperature at the melt outlet of the heat exchanger, wherein the sign of E0 represents temperature increase or decrease, greater than 0 represents temperature increase, and zero represents temperature decrease, and the value of E0 represents the speed of temperature change. For example, E0 = -2, which means that the temperature decreases at a rate of 2°C / 5s, i.e., 0.4°C / s, where 5s is the sampling time interval, which is 5s in this embodiment;

[0084] Step S307: Mark the last average temperature value H2hv of the second temperature sequence as E1. E1 represents the most recent melt temperature and is of great reference significance in subsequent adjustments to the heat exchanger.

[0085] In the specific implementation process, when weighted averaging is performed on the temperature data obtained from each sliding and different weights are assigned, the sum of the different weights must be equal to 1; using a sliding window to perform weighted averaging of the temperature can effectively smooth out short-term fluctuations and noise in the temperature data; for example, in temperature acquisition, due to slight changes in the fluid or environment around the sensor, such as changes in melt flow rate, slight jitter of the heat exchanger, etc., the temperature measurement data will cause some small fluctuations. By weighted averaging the temperature through a sliding window, these fluctuations can be smoothed out, making the temperature change trend clearer. The calculated smoothed data will better reflect the overall temperature change trend, reduce the impact of single-point data fluctuations, and the calculation process is relatively simple; and the weighted method is used to obtain the average value because the more recent the data, the greater the weight. This enables it to better reflect the current temperature change trend when processing temperature data. By assigning a higher weight to the recent temperature data, the processed temperature change can be more in line with the actual situation. Moreover, the choice of weight can be adjusted according to the specific application scenario and data characteristics, so that this method can adapt to different types of temperature change patterns.

[0086] Step S4, based on the melt temperature change information and the melt temperature threshold, controls the heat medium flow and heat medium temperature, and monitors the operating status of the heat exchanger; Step S4 includes the following sub-steps:

[0087] Step S401, please refer to Figure 3As shown, the heat medium input pipeline of the heat exchanger is improved, and the single pipeline inlet of the heat medium input pipeline is changed to two identical pipeline inlets, one of which is connected to the heat medium and the other to the refrigerant; flow control valves are installed at the two pipeline inlets; the refrigerant control valve is normally closed, and the refrigerant is connected because, in rare cases, when the melt temperature is too high or the melt temperature rises too quickly, regulating the heat medium flow alone cannot restore the melt temperature to a normal level. In this case, it is necessary to adjust the temperature of the heat medium entering the heat exchanger. By connecting the refrigerant, the heat medium temperature entering the heat exchanger is reduced, thereby increasing the heat exchange amount and restoring the melt temperature to a normal level;

[0088] Step S402: Set the first slope threshold to R1 and the second slope threshold to R2, and R2 ≥ R1. In this embodiment, the first slope threshold R1 is 0.5 and the second slope threshold R2 is 1.5. Since the first time interval is 5s, R1 of 0.5 represents a temperature change rate of 0.5 / 5, i.e., 0.1°C / s, and R2 of 1.5 represents a temperature change rate of 1.5 / 5, i.e., 0.3°C / s.

[0089] Step S403, when E1 is within the first melt temperature range, that is, the melt temperature is within a safe range, that is, within the suitable melt temperature range, and is far from the two range boundaries: if R2>E0≥R1, that is, the melt temperature increases relatively quickly, and R2>E0≥R1 in the previous first time period, that is, the melt temperature has been continuously increasing relatively quickly, then the flow rate of the heat medium is increased, because the melt temperature increases due to insufficient heat medium, and increasing the flow rate of the heat medium can reduce the melt temperature; if R2>|E0|≥R1, 0>E0, that is, the melt temperature decreases relatively quickly, and R2>|E0|≥R1, 0>E0 in the previous first time period, that is, the melt temperature has been continuously decreasing relatively quickly, then the flow rate of the heat medium is reduced, because the melt temperature decreases due to excessive heat medium, and reducing the flow rate of the heat medium can reduce the extent of the drop in the melt temperature;

[0090] Step S403: If E0≥R2, that is, the melt temperature increases rapidly, the flow rate of the heat medium is increased; if |E0|≥R2, 0>E0, that is, the melt temperature decreases rapidly, the flow rate of the heat medium is reduced;

[0091] In step S404, if R1>E0>0, that is, the melt temperature increases slowly, and R1>E0>0 in the last two first time periods, that is, the melt temperature changes in three consecutive periods are the same, then increase the flow rate of the heat medium; if |E0|<R1,0> E0, that is, the melt temperature slowly decreases, and |E0| in the last two first time periods<R1,0> E0, then reduce the flow of heat medium;

[0092] Step S405. When E1 is within the second melt temperature range but not within the first melt temperature range, that is, the melt temperature is within a relatively safe range. If the melt temperature changes too quickly, it is very easy to exceed the suitable temperature range of the melt. If R2 > E0 ≥ R1 and E1 > TU1, that is, the melt temperature is close to the second temperature upper limit, then increase the flow rate of the heat medium. If R2 > E0 ≥ R1 and E1 > TL2, it means that the melt temperature is close to the first temperature lower limit. At this time, increasing the melt temperature will make the melt temperature safer. If R2 > |E0| ≥ R1, 0 > E0, and E1 < TL1, that is, the melt temperature is close to the second temperature lower limit, then decrease the flow rate of the heat medium. If R2 > |E0| ≥ R1, 0 > E0, and E1 < TU2, it means that the melt temperature is close to the first temperature upper limit. At this time, decreasing the melt temperature will make the melt temperature safer.

[0093] Step S406. If R1 > E0 > 0, E1 > TU1, and R1 > E0 > 0 in the previous first time period, the reason for only verifying one period is that at this time the melt temperature is only within a relatively safe range, that is, within the suitable temperature range of the melt, but very close to the boundary of a certain range. Then increase the flow rate of the heat medium. If |E0| < R1, 0 > E0, E1 < TL1, and |E0| < R1, 0 > E0 in the previous first time period, then decrease the flow rate of the heat medium.

[0094] Step S407. If E0 ≥ R2 and E1 > TU1, that is, the melt temperature increases rapidly, then increase the flow rate of the heat medium and open the flow control valve of the refrigerant. Because at this time the melt temperature changes rapidly and it is very easy to exceed the suitable temperature range of the melt. It is impossible to regulate the melt temperature in time only by adjusting the flow rate of the heat medium. Therefore, the refrigerant needs to be connected. If |E0| ≥ R2, 0 > E0, and E1 < TL1, then decrease the flow rate of the heat medium.

[0095] Step S408. When E1 is not within the second melt temperature range: If E1 > TU2, that is, the melt temperature has exceeded the suitable temperature range of the melt and the melt temperature is too high and needs to be cooled rapidly, then increase the flow rate of the heat medium and open the flow control valve of the refrigerant. If E1 < TL2, at this time the melt temperature has exceeded the suitable temperature range of the melt and the melt temperature is too low and there is no need to cool down anymore, then close the flow control valve of the heat medium.

[0096] Step S409. Monitor the operating state of the heat exchanger; Step S409 includes the following sub-steps:

[0097] Step S4091: Based on the melt temperature flow data and the heat medium temperature flow data, obtain the melt temperature T1hi at the melt inlet and the melt temperature T2hi at the melt outlet at each acquisition moment in the first time period, mark the melt flow of the heat exchanger as Mhi, the heat medium temperature T1ci at the heat medium inlet and the heat medium temperature T2ci at the heat medium outlet, and mark the heat medium flow of the heat exchanger as Mci;

[0098] Step S4092: Calculate the heat exchange efficiency per unit time at each acquisition moment in the first time period and obtain the average heat exchange efficiency, labeled N1c, where c represents the average heat exchange efficiency of the cth first time period. Calculate the average value of all N1c values in the second time period, labeled N0c, where the second time period is y2. The heat exchange efficiency calculation formula is as follows: Where η is the heat transfer efficiency, Qactual is the actual amount of heat transferred, and Qmax is the maximum amount of heat that can be transferred under ideal conditions; Qmax = Mci*Cheating medium (T2ci-T1ci), where Cheating medium is the specific heat capacity of the heat medium; the calculation formula for Qactual is as follows: Q 实际 =U*A*ΔT, where U is the heat transfer coefficient of the heat exchanger and A is the heat transfer area of the heat exchanger. The two are the basic parameters of the heat exchanger. For a counter-flow heat exchanger, that is, the cold fluid and the hot fluid flow in opposite directions, ΔT1 = T1hi - T2ci, ΔT2 = T2hi - T1ci; for a parallel-flow heat exchanger, that is, the cold fluid and the hot fluid flow in the same direction, ΔT1 = T1hi - T1ci, ΔT2 = T2hi - T2ci; in this embodiment, the heat exchanger is a parallel-flow heat exchanger;

[0099] Step S4093: Obtain the heat medium density value at the heat medium outlet of the heat exchanger at a second time interval within the second time period, labeled Q1b, where b represents the bth acquisition. Obtain the heat medium density value at the heat medium outlet, labeled Q2b, and calculate the difference between the heat medium density value Q2b and the heat medium density value Q1b using the following formula: Q3b = Q2b - Q1b, where Q3b is the difference between the heat medium density value Q2b and the heat medium density value Q1b, and the second time interval is x2. Calculate the average value of all Q3b values within the second time period, labeled Q0b. A heat exchanger using water as the heat medium will form scale within the heat exchanger during long-term use, affecting heat exchange efficiency. The more scale there is, the lower the heat exchange efficiency. During the heat exchange process, water will carry out some scale, resulting in inconsistent density of water before and after entering the heat exchanger.

[0100] Step S4094: Divide the operating state of the heat exchanger into excellent state, good state, average state, and poor state; set density difference thresholds Qy1 and Qy2, where Qy1 < Qy2; in this embodiment, Qy1 = 0.0003 and Qy2 = 0.0006; set average heat transfer efficiency thresholds Ny1 and Ny2, where Ny1 > Ny2, and in this embodiment, Ny1 = 90% and Ny2 = 75%.

[0101] Step S4095: When Q0b > Qy1, let A1 = 2; when Qy1 < Q0b < Qy2, let A1 = 1; when Qy2 < Q0b, let A1 = 0; when N0c > Ny1, let A2 = 2; when Ny2 < N0c < Ny1, let A2 = 1; when N0c < Ny2, let A2 = 0.

[0102] Step S4096: When A2 = A1 = 2, that is, the heat exchanger has excellent heat transfer efficiency and basically no scale, or when A2 = 2 and A1 = 1, that is, the heat exchanger has slight scale but does not affect the heat transfer efficiency and the heat transfer efficiency remains excellent, determine that the operating state of the heat exchanger is in an excellent state.

[0103] Step S4097: When A2 = 2 and A1 = 0, that is, there is more scale but it does not affect the heat transfer efficiency and the heat transfer efficiency remains excellent, or when A2 = 1 and A1 = 2, that is, the heat exchanger basically has no scale but the heat transfer efficiency is good, generally due to environmental factors causing the heat transfer efficiency to decline, or when A2 = A1 = 1, that is, the heat exchanger has slight scale slightly affecting the heat transfer efficiency and the heat transfer efficiency is good, determine that the operating state of the heat exchanger is in a good state.

[0104] Step S4098: When A2 = 1 and A1 = 0, that is, the heat exchanger has more scale resulting in good heat efficiency, or when A2 = 0 and A1 = 2, that is, the heat exchanger basically has no scale but the heat transfer efficiency is average, generally due to environmental factors or others causing the heat transfer efficiency to decline, determine that the operating state of the heat exchanger is in an average state. When the operating state of the heat exchanger is in an average state, the heat exchanger should be cleaned and maintained in a timely manner.

[0105] Step S4099: When A2 = 0 and A1 = 1, that is, the heat exchanger has slight scale resulting in average heat efficiency, or when A2 = A1 = 0, that is, the heat exchanger has more scale resulting in average heat transfer efficiency, determine that the operating state of the heat exchanger is in a poor state. When the operating state of the heat exchanger is in an average state, the heat exchanger should be cleaned and maintained immediately.

[0106] During the specific implementation process, when the melt temperature changes slowly, it is necessary to verify whether the temperature changes within two or three cycles are consistent. First, to avoid identifying sensor fluctuations as slow temperature changes, thereby avoiding incorrect regulation, and second, to avoid long-term slow temperature changes causing the melt temperature to exceed the suitable temperature range of the melt; the density difference threshold and the heat transfer efficiency threshold can be measured by a new heat exchanger and a heat exchanger that has been in use for a long time; because the location where scale is generated in the heat exchanger does not necessarily affect the heat transfer efficiency, it is possible that there is a characteristic situation where there is more scale but it does not affect the heat transfer efficiency. Therefore, the judgment of the heat exchanger operating status mainly depends on the heat transfer efficiency, and secondly on the scale situation, that is, the density difference.

[0107] Example 2, please refer to Figure 4 As shown, Figure 4 A schematic diagram of the structure of an electronic device is provided. The electronic device may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps of a process parameter optimization method for a melt conveying process are executed to achieve the following functions: setting a suitable melt temperature range and a melt temperature threshold range based on the basic properties of the melt; monitoring and collecting the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of a heat exchanger to obtain melt temperature flow rate data and heat medium temperature flow rate data; processing the melt temperature flow rate data to obtain melt temperature change information; controlling the heat medium flow rate and heat medium temperature based on the melt temperature change information and the melt temperature threshold, and monitoring the operating status of the heat exchanger.

[0108] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0109] Example 3. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the process parameter optimization method of the melt conveying process are executed to achieve the following functions: setting the suitable melt temperature range and the melt temperature threshold range according to the basic properties of the melt; monitoring and collecting the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger to obtain melt temperature flow data and heat medium temperature flow data; processing the melt temperature flow data to obtain melt temperature change information; based on the melt temperature change information and the melt temperature threshold, controlling the heat medium flow rate and the heat medium temperature, and monitoring the operating status of the heat exchanger.

[0110] Through the description of the above embodiments, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on this understanding, the above technical solutions, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiment.

[0111] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for optimizing process parameters of a melt conveying process, characterized in that: The steps include: Set the suitable melt temperature range and melt temperature threshold range according to the basic properties of the melt; Monitor and collect the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger to obtain melt temperature flow rate data and heat medium temperature flow rate data; Process the melt temperature flow data to obtain melt temperature change information; Based on the melt temperature change information and melt temperature threshold, the heat medium flow and heat medium temperature are controlled, and the heat exchanger operating status is monitored; Processing the melt temperature flow data and the heat medium temperature flow data to obtain melt temperature change information includes the following sub-steps: Based on the melt temperature flow data, the melt temperature T2hi at the melt outlet within a time period is sorted according to the acquisition time, and recorded as the first melt temperature sequence [T2h1, T2h2, T2h3, ..., T2hn], where n represents a total of n temperature data within a time period, a sliding window is set, the sliding window size is set to z, the sliding step is k, and the sliding window slides k steps each time to take values in the first melt temperature sequence, and the temperature data obtained by each sliding is weighted averaged to obtain the average value, which is recorded as H2hj, where j represents the jth sliding in the first melt temperature sequence; H2hj is sorted in the order of value acquisition and marked as the second melt temperature sequence, which is recorded as [H2h1, H2h2, H2h3, ..., H2hv], where v represents a total of v data in the second melt temperature sequence; Processing the melt temperature flow data and the heat medium temperature flow data to obtain melt temperature change information also includes the following sub-steps: Based on the second melt temperature sequence, the average value of the second melt temperature sequence [H2h1, H2h2, H2h3, ..., H2hv] is calculated and recorded as H2h0; then the overall slope of the second melt temperature sequence is calculated using the slope calculation formula; the slope calculation formula is as follows: , where E0 is the overall slope of the second melt temperature series, v0 is the average value of the subscripts of the second melt temperature series [H2h1, H2h2, H2h3, …, H2hv]; The last average temperature value H2hv of the second temperature series is marked as E1; Based on the melt temperature change information and the melt temperature threshold, controlling the heat medium flow and heat medium temperature also includes the following sub-steps: Set the first slope threshold to R1, the second slope threshold to R2, and R2 ≥ R1; When E1 is within the first melt temperature range: if R2>E0≥R1, and R2>E0≥R1 in the previous first time period, then increase the flow rate of the heat medium; if R2>|E0|≥R1, 0>E0, and R2>|E0|≥R1, 0>E0 in the previous first time period, then reduce the flow rate of the heat medium; If E0≥R2, then increase the flow rate of the heat medium; if |E0|≥R2, 0>E0, then reduce the flow rate of the heat medium; If R1>E0>0, and R1>E0>0 in the last two first time periods, then increase the flow rate of the heat medium; if |E0|<R1,0> E0, and |E0| in the last two first time periods<R1,0> E0, then reduce the flow rate of heat medium; When E1 is within the second melt temperature range and not within the first melt temperature range: If R2 > E0 ≥ R1 and E1 > TU1, increase the flow rate of the heat medium; if R2 > |E0| ≥ R1, 0 > E0, and E1 < TL1, decrease the flow rate of the heat medium; if R1 > E0 > 0 and E1 > TU1 and R1 > E0 > 0 in the previous first time period, increase the flow rate of the heat medium; if |E0| < R1, 0 > E0 and E1 < TL1 and |E0| < R1, 0 > E0 in the previous first time period, decrease the flow rate of the heat medium. If E0 ≥ R2 and E1 > TU1, increase the flow rate of the heat medium and open the flow control valve of the refrigerant; if |E0| ≥ R2, 0 > E0, and E1 < TL1, decrease the flow rate of the heat medium. When E1 is not within the second melt temperature range: If E1 > TU2, increase the flow rate of the heat medium and open the flow control valve of the refrigerant; if E1 < TL2, close the flow control valve of the heat medium.

2. The method for optimizing process parameters of a melt conveying process according to claim 1, characterized in that: Obtain the basic parameters of the heat exchanger, and set the suitable melt temperature range and the melt temperature threshold range, including the following sub-steps: According to the basic property parameters of the melt, set the suitable melt temperature range, marked as [T0, T1]; based on the suitable melt temperature range, set the first upper temperature limit, marked as TU1. Set the second upper temperature limit, marked as TU2. Set the first lower temperature limit, marked as TL1. Set the second lower temperature limit, marked as TL2, where T0 < TU1 < TU2, TU1 < TU2 = Tl, T0 = TL2 < TL1, TL2 < TL1 < TU1; mark the range formed by the first upper temperature limit TU1 and the first lower temperature limit TL1 as the first melt temperature range, denoted as [TL1, TU1], and mark the range formed by the second upper temperature limit TU2 and the second lower temperature limit TL2 as the second melt temperature range, denoted as [TL2, TU2]. Mark the first melt temperature range and the second melt temperature range as the melt temperature threshold range.

3. The method for optimizing process parameters of a melt conveying process according to claim 2, wherein: Monitor and collect the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger to obtain the melt temperature flow rate data and the heat medium temperature flow rate data, including the following sub-steps: Monitoring and collection of the melt inlet and outlet temperature flow rates: In the first time period at the first time interval, collect the melt temperature at the melt inlet of the heat exchanger, the melt temperature at the melt outlet, and the melt flow rate in real time. The first time period is y1, and the first time interval is x1. Mark the melt temperature at the melt inlet as T1hi, mark the melt temperature at the melt outlet as T2hi, and mark the melt flow rate of the heat exchanger as Mhi, where i represents the i-th moment; mark the melt temperature T1hi at the melt inlet, the melt temperature T2hi at the melt outlet, and the melt flow rate Mhi of the heat exchanger as the melt temperature flow rate data.

4. The method for optimizing process parameters of a melt conveying process according to claim 3, wherein: Monitoring and collection of the melt inlet and outlet temperature flow rates and the heat medium inlet and outlet temperature flow rates of the heat exchanger to obtain the melt temperature flow rate data and the heat medium temperature flow rate data also include the following sub-steps: Monitoring and acquisition of the inlet and outlet temperatures and flow rate of the heat medium: In the first time period, at the first time interval, the heat medium temperature at the inlet of the heat exchanger, the heat medium temperature at the outlet of the melt, and the heat medium flow rate are collected in real time. The heat medium temperature at the inlet of the heat exchanger is marked as T1ci, the heat medium temperature at the outlet of the heat exchanger is marked as T2ci, and the heat medium flow rate of the heat exchanger is marked as Mci; the heat medium temperature T1ci at the inlet of the heat exchanger, the heat medium temperature T2ci at the outlet of the heat exchanger, and the heat medium flow rate Mci of the heat exchanger are marked as heat medium temperature and flow rate data.

5. The method for optimizing process parameters of a melt conveying process according to claim 4, characterized in that: Based on the melt temperature change information and the melt temperature threshold, controlling the heat medium flow rate and the heat medium temperature includes the following sub-steps: Improve the heat medium input pipeline of the heat exchanger, change the single pipeline inlet of the heat medium input pipeline to two identical pipeline inlets, connect one of the two pipeline inlets to the heat medium and the other to the refrigerant; flow control valves are configured at the two pipeline inlets.

6. The method for optimizing process parameters of a melt conveying process according to claim 5, characterized in that: Monitoring the operating state of the heat exchanger includes the following sub-steps: Based on the melt temperature and flow rate data and the heat medium temperature and flow rate data, the melt temperature T1hi at the inlet of the melt at each acquisition moment within the first time period, the melt temperature T2hi at the outlet of the melt, the melt flow rate of the heat exchanger is marked as Mhi, the heat medium temperature T1ci at the inlet of the heat exchanger, the heat medium temperature T2ci at the outlet of the heat exchanger, and the heat medium flow rate Mci of the heat exchanger are obtained; then calculate the heat transfer efficiency per unit time at each acquisition moment within the first time period, and obtain the average heat transfer efficiency, marked as N1c, where c represents the average heat transfer efficiency of the c-th first time period; then calculate the average value of all N1c within the second time period, marked as N0c, and the second time period is y2; Within the second time period, at the second time interval, obtain the heat medium density value at the outlet of the heat exchanger of the heat medium, marked as Q1b, where b represents the b-th acquisition; obtain the heat medium density value at the outlet of the heat exchanger, marked as Q2b, and calculate the difference between the heat medium density value Q2b and the heat medium density value Q1b. The calculation formula is Q3b = Q2b - Q1b, and Q3b is the difference between the heat medium density value Q2b and the heat medium density value Q1b. The second time interval is x2; calculate the average value of all Q3b within the second time period, marked as Q0b.

7. The method for optimizing process parameters of a melt delivery process according to claim 6, characterized in that: Monitoring the operating state of the heat exchanger further includes the following sub-steps: Divide the operating state of the heat exchanger into excellent state, good state, general state, and poor state; Set the density difference thresholds Qy1 and Qy2, where Qy1 < Qy2; Set the average heat transfer efficiency thresholds Ny1 and Ny2, where Ny1 > Ny2; When Q0b > Qy1, let A1 = 2; When Qy1 < Q0b < Qy2, let A1 = 1; when Qy2 < Q0b, let A1 = 0; When N0c > Ny1, let A2 = 2; when Ny2 < N0c < Ny1, let A2 = 1; when N0c < Ny2, let A2 = 0; When A2 = A1 = 2 or A2 = 2 and A1 = 1, determine that the operating state of the heat exchanger is in an excellent state; When A2=2 and A1=0 or A2=1 and A1=2 or A2=A1=1, the heat exchanger is judged to be in good condition; When A2=1 and A1=0 or A2=0 and A1=2, the heat exchanger is judged to be in normal operation; When A2=0 and A1=1 or A2=A1=0, the heat exchanger is judged to be in a poor operating state.

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