Industrial automation control method and system based on real-time data feedback

Abstract

The invention discloses an industrial automation control method and system based on real-time data feedback, which relates to the field of industrial automation control. The main scheme is: real-time acquisition of injection speed data, holding pressure data and cooling time data of an injection molding machine in a production process; processing and analyzing the obtained data to obtain an injection speed deviation #imgabs0#, a holding pressure deviation #imgabs1# and a cooling time deviation #imgabs2#; judging whether it is necessary to adjust the injection speed, the holding pressure and the cooling time; when adjustment is required, adjusting the injection speed to a normal state according to an injection speed increment Δ#imgabs3#adjust; adjusting the holding pressure to a normal state according to a holding pressure increment ΔPadjust; adjusting the cooling time to a normal state according to a cooling time increment ΔTadjust; real-time monitoring of the operation state and production effect of the injection molding machine, judging whether the injection speed error #imgabs4#, the holding pressure error #imgabs5# and the cooling time error #imgabs6# meet the adjustment standard, and issuing an early warning if they do not meet the adjustment standard.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automation control, and specifically to an industrial automation control method and system based on real-time data feedback. Background Art

[0002] In the field of industrial automation control, injection molding machines are important equipment in the plastic processing industry. Their production efficiency and product quality directly affect the economic benefits and market competitiveness of enterprises. Traditional injection molding machine control methods often rely on preset process parameters and manual experience for adjustment, which has many shortcomings. First, due to changes in various factors such as raw material characteristics, ambient temperature, equipment wear, etc. during the production process, the preset process parameters may not be able to continuously adapt to actual production needs, resulting in fluctuations in product quality and decreased production efficiency. Secondly, manual adjustments rely on the experience and judgment of the operator, which are subjective and lagging, and it is difficult to respond to changes in the production process in a timely and accurate manner. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies of the prior art, the present invention provides an industrial automation control method and system based on real-time data feedback. The scheme collects the injection speed, holding pressure and cooling time data of the injection molding machine in real time, and processes and analyzes them to identify deviations from the preset standards. Once it is found that the deviation exceeds the allowable range, the system will automatically calculate and apply the corresponding adjustment increment to quickly adjust the key parameters to a normal or optimal state. At the same time, the system continuously monitors the operating status and production effect of the injection molding machine to ensure that the adjusted parameters meet the production requirements. If the adjustment does not meet the standard, the system will issue an early warning in time so that further measures can be taken. It solves the problems of stability, efficiency, cost, flexibility, manual intervention and intelligent management in the production process of the injection molding machine.

[0005] (II) Technical solution

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an industrial automation control method based on real-time data feedback, comprising: real-time acquisition of injection speed data, holding pressure data and cooling time data of an injection molding machine during production;

[0007] Process and analyze the injection speed data, holding pressure data, and cooling time data to obtain the injection speed deviation , Holding pressure deviation and cooling time deviation ;

[0008] Preset threshold 1, threshold 2 and threshold 3, and the injection speed deviation , Holding pressure deviation and cooling time deviation Compare with threshold 1, threshold 2 and threshold 3 respectively; determine whether the injection speed, holding pressure and cooling time need to be adjusted;

[0009] When the injection speed needs to be adjusted, Calculate the injection speed increment Δ adjust; according to the injection speed increment Δ Adjust the injection speed to normal state;

[0010] When the holding pressure needs to be adjusted, according to the holding pressure deviation Calculate the holding pressure increment ΔPadjust; adjust the holding pressure to a normal state according to the holding pressure increment ΔPadjust;

[0011] When the cooling time needs to be adjusted, Calculate the cooling time increment ΔTadjust; adjust the cooling time to a normal state according to the cooling time increment ΔTadjust;

[0012] Monitor the operating status and production effect of the injection molding machine in real time and determine the injection speed error , holding pressure error , Cooling time error Whether the adjustment standards are met. If not, an early warning will be issued.

[0013] In the preferred embodiment of the industrial automation control method based on real-time data feedback: generating an injection speed deviation The method is as follows:

[0014] Injection speed deviation The calculation formula is as follows:

[0015]

[0016] in, is the injection speed scaling factor; is the melt pressure; is the melt pressure reference value; is the mold temperature; is the mold temperature reference value; is the mold temperature adjustment range; is the cavity volume; is the reference value of cavity volume; It indicates the influence of melt pressure on injection speed adjustment; It indicates the influence of mold temperature on injection speed adjustment; It indicates the influence of cavity volume on injection speed adjustment;

[0017] The method for generating the packing pressure deviation is as follows: Packing pressure deviation The calculation formula is as follows:

[0018]

[0019] in, is the holding pressure proportionality factor; is the melt pressure;

[0020] is the melt pressure reference value; is the mold temperature; is the mold temperature reference value; is the mold temperature adjustment range; is the cavity volume; is the reference value of cavity volume; is the volume corresponding to the injection volume or injection speed; It is the volume reference value corresponding to the injection volume or injection speed; It indicates the influence of melt pressure on the adjustment of holding pressure; It indicates the influence of mold temperature on the adjustment of holding pressure; It indicates the influence of cavity volume on the adjustment of holding pressure; It indicates the influence of injection speed on the adjustment of holding pressure;

[0021] The method to generate the cooldown deviation is as follows: Cooldown deviation The calculation formula is as follows:

[0022]

[0023] in, is the cooling time scaling factor; is the mold temperature; is the ambient temperature; It is the mold temperature adjustment range or reference temperature range; is the product thickness; It is the reference value of product thickness; is the thermal conductivity of the material; is the reference value of thermal conductivity of the material; It indicates the influence of mold temperature on cooling time adjustment; It indicates the influence of product thickness on cooling time adjustment; It indicates the influence of material thermal conductivity on cooling time adjustment.

[0024] In the above preferred embodiment of the industrial automation control method based on real-time data feedback: the method for detecting whether the injection speed, holding pressure and cooling time need to be adjusted is as follows;

[0025] The preset deviation threshold 1 is Threshold 1; the deviation threshold 2 is Threshold 2; the deviation threshold 3 is Threshold 3;

[0026] Compare the current injection speed deviation ΔV with the preset deviation threshold value Threshold1. When the current injection speed deviation ΔV> the preset deviation threshold value Threshold1, it is judged as abnormal data and needs to be adjusted; when the current injection speed deviation ΔV≤ the preset deviation threshold value Threshold1, it is within the normal range and does not need to be adjusted;

[0027] Set the current holding pressure deviation Compared with the preset deviation threshold 2 Threshold2, when >Deviation threshold 2 Threshold 2, it is judged as abnormal data and needs to be adjusted; when the current holding pressure deviation ≤Deviation Threshold 2, it is within the normal range and does not need to be adjusted;

[0028] The current cooling time deviation Compare with the preset deviation threshold 3,

[0029] When the current cooling time deviates > Deviation threshold 3, it is judged as abnormal data and needs to be adjusted; when the current cooling time deviation ≤Deviation Threshold 3, it is within the normal range and does not need to be adjusted.

[0030] In the preferred embodiment of the industrial automation control method based on real-time data feedback: calculating the injection speed adjustment increment The method is as follows:

[0031] Injection speed adjustment increment The calculation formula is as follows:

[0032]

[0033] in, is the adjustment increment of injection speed;

[0034] It is the proportional coefficient for calculating the injection speed adjustment increment; It is the integral coefficient for calculating the injection speed adjustment increment; is the differential coefficient for calculating the injection speed adjustment increment;

[0035] It is the accumulation of past injection speed deviation values;

[0036] is the rate of change of the injection speed deviation value.

[0037] In the preferred embodiment of the industrial automation control method based on real-time data feedback: calculating the pressure holding pressure adjustment increment The method is as follows:

[0038] Holding pressure adjustment increment The calculation formula is as follows:

[0039]

[0040] in, is the adjustment increment of the holding pressure; is the proportionality factor for calculating the holding pressure adjustment increment; is the integral coefficient for calculating the holding pressure adjustment increment; is the differential coefficient for calculating the holding pressure adjustment increment; It is the accumulation of past holding pressure deviation values; is the rate of change of the holding pressure deviation value.

[0041] In the preferred embodiment of the industrial automation control method based on real-time data feedback: calculating the cooling time adjustment increment The method is as follows:

[0042] Cooldown adjustment increment The calculation formula is as follows:

[0043]

[0044] in, is the adjustment increment of the cooling time; It is the incremental proportional coefficient for calculating the cooling time adjustment; It is the incremental integral coefficient for calculating the cooling time adjustment; It is the differential coefficient for calculating the cooling time adjustment increment; It is the accumulation of past cooling time deviation values; is the rate of change of the cooling time deviation value.

[0045] In the preferred embodiment of the above-mentioned industrial automation control method based on real-time data feedback: when the corresponding control parameters need to be adjusted, the adjusted parameter values ​​are sent to the actuator of the injection molding machine through the output module of the control system, and the actuator makes corresponding adjustments based on the received parameter values.

[0046] In the preferred embodiment of the industrial automation control method based on real-time data feedback, before executing the adjustment instruction, the initial value A of the injection speed, the initial value B of the holding pressure and the initial value C of the cooling time are collected; after executing the adjustment instruction, the injection speed adjustment value is collected. , Holding pressure adjustment value and Cooldown Adjustment Value ;

[0047] According to the collected injection speed initial value A, holding pressure initial value B, cooling time initial value C, injection speed increment Δ adjust, holding pressure increment ΔPadjust, cooling time increment ΔTadjust respectively calculate the injection speed target value , holding pressure target value , cooling time target value ; The formula is as follows:

[0048] A+Δ adjust

[0049] B+ΔPadjust

[0050] C+ΔTadjust

[0051] Adjust the injection speed to , Holding pressure adjustment value and Cooldown Adjustment Value Respectively with the injection speed target value , holding pressure target value , cooling time target value Perform difference calculation to obtain the injection speed error , holding pressure error and cooling time error ;

[0052] Preset the injection speed error standard threshold ϵV, the holding pressure error standard threshold ϵP and the cooling time error standard threshold ϵT;

[0053] The injection speed error , holding pressure error , Cooling time error The values ​​are compared with the injection speed error standard threshold ϵV, the holding pressure error standard threshold ϵP and the cooling time error standard threshold ϵT respectively to determine whether the adjustment standard is met; if the adjustment standard is not met, an early warning is issued.

[0054] In the above preferred embodiment of the industrial automation control method based on real-time data feedback: the method for determining whether the adjustment standard is reached is:

[0055] Injection speed adjustment value Ideal injection speed The error between The calculation formula is as follows:

[0056]

[0057] Holding pressure adjustment value Ideal value of holding pressure The error between The calculation formula is as follows:

[0058]

[0059] Cooldown time adjustment value Ideal cooling time The error between The calculation formula is as follows:

[0060]

[0061] Determining injection speed error The method of determining whether the adjustment criteria have been met is as follows:

[0062] if ≤ϵV, the injection speed reaches the adjustment standard. If >ϵV, an injection speed warning is issued;

[0063] Determine the holding pressure error The method of determining whether the adjustment criteria have been met is as follows:

[0064] if ≤ϵP, the holding pressure reaches the adjustment standard. If >ϵP, a pressure-maintaining warning is issued;

[0065] Determine the cooling time error The method of determining whether the adjustment criteria have been met is as follows:

[0066] if ≤ϵT, the cooling time reaches the adjustment standard, if >ϵT, a cooling time warning will be issued.

[0067] The present invention also discloses an industrial automation control system based on real-time data feedback: comprising: a data acquisition module for real-time acquisition of injection speed data, holding pressure data and cooling time data of the injection molding machine during the production process;

[0068] The data processing module is used to process and analyze the injection speed data, holding pressure data and cooling time data to obtain the injection speed deviation. , Holding pressure deviation and cooling time deviation ;

[0069] The data decision module is used to preset thresholds 1, 2 and 3, and to obtain the injection speed deviation , Holding pressure deviation and cooling time deviation Compare with threshold 1, threshold 2 and threshold 3 respectively; determine whether the injection speed, holding pressure and cooling time need to be adjusted;

[0070] The execution module is used to adjust the injection speed according to the injection speed deviation when the injection speed needs to be adjusted. Calculate the injection speed increment Δ adjust; according to the injection speed increment Δ Adjust the injection speed to normal state;

[0071] When the holding pressure needs to be adjusted, according to the holding pressure deviation Calculate the holding pressure increment ΔPadjust; adjust the holding pressure to a normal state according to the holding pressure increment ΔPadjust;

[0072] When the cooling time needs to be adjusted, Calculate the cooling time increment ΔTadjust; adjust the cooling time to a normal state according to the cooling time increment ΔTadjust;

[0073] Monitoring and alarm module, used to monitor the operating status and production effect of the injection molding machine in real time, and judge the injection speed error , holding pressure error , Cooling time error Whether the adjustment standards are met. If not, an early warning will be issued.

[0074] (III) Beneficial effects

[0075] The present invention provides an industrial automation control method and system based on real-time data feedback, which has the following beneficial effects:

[0076] (1) By acquiring and analyzing key parameters in the injection molding process in real time, the system can quickly detect and correct deviations, ensuring that the injection molding machine operates in optimal conditions, thereby improving production efficiency and stability. This instant feedback and adjustment mechanism reduces production interruptions and scrap rates, improving overall production efficiency. Precise control of parameters such as injection speed, holding pressure, and cooling time helps reduce product quality inconsistencies caused by parameter fluctuations. The system automatically adjusts to ensure that products in each production cycle meet quality standards, improving the overall quality and consistency of the product.

[0077] (2) By reducing waste and the waste of raw materials, the system helps companies reduce production costs. At the same time, optimizing production efficiency and reducing production interruptions also reduce energy consumption and labor costs, further improving the economic benefits of the company. The system supports real-time adjustment of production parameters, allowing injection molding machines to flexibly respond to the needs of different products, materials and production environments. This flexibility helps companies respond quickly to market changes and improve the adaptability and competitiveness of production lines;

[0078] (3) Automated control and real-time data feedback mechanisms reduce the need for manual intervention and the risk of human error. This not only improves the controllability and reliability of the production process, but also reduces the burden on operators and improves work efficiency. The system provides rich production data support, laying the foundation for enterprises to achieve intelligent management and decision-making. Through data analysis and mining, enterprises can better understand production conditions, identify potential problems and develop improvement strategies, thereby promoting the intelligent transformation and upgrading of enterprises;

[0079] (4) Real-time monitoring of the operating status and production results of the injection molding machine helps to promptly discover and deal with potential safety hazards. The system reminds operators of abnormal conditions through an early warning mechanism, avoiding safety accidents caused by equipment failure or improper operation. Automated control also reduces production interruptions and waste caused by human errors, further saving the labor costs required to deal with these problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 It is a schematic diagram of the steps of the industrial automation control method based on real-time data feedback of the present invention. DETAILED DESCRIPTION

[0081] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0082] See also Figure 1 The present invention provides an industrial automation control method based on real-time data feedback, comprising:

[0083] Step 1: Real-time acquisition of injection speed data, holding pressure data, and cooling time data of the injection molding machine during the production process;

[0084] The specific solution for step one is to install high-precision sensors on the injection molding machine to collect data on injection speed, holding pressure, and cooling time in real time. Select sensors with high precision, high stability, and fast response capabilities to ensure that they can accurately capture subtle changes in the injection molding machine during the production process. Consider the sensor's temperature compensation, linearity, repeatability, and other performance indicators to meet the needs of different application scenarios.

[0085] In order to obtain data of multiple parameters at the same time, a multi-channel data acquisition system is used. This system can process data from different sensors in parallel, improving the efficiency and accuracy of data acquisition.

[0086] High-speed communication protocols are used to achieve real-time data transmission between sensors and data acquisition modules. Ensure that data can be quickly transmitted to the processing center after acquisition, reducing the risk of data delay and loss. Configure industrial-grade communication interfaces to ensure stable communication between the data acquisition module and the control system.

[0087] Combined with the content of step 1: high-precision sensors can collect key parameters such as injection speed, holding pressure and cooling time in real time, which can accurately reflect the subtle changes in the injection molding process. This precise data support enables operators or automation systems to adjust process parameters more accurately, thereby improving product quality and consistency.

[0088] Step 2: Process and analyze the injection speed data, holding pressure data, and cooling time data to obtain the injection speed deviation , Holding pressure deviation and cooling time deviation ;

[0089] The specific plan for step 2 is to set the reference values ​​of injection speed, holding pressure and cooling time according to the production process requirements, product quality standards or historical data. These reference values ​​should be able to reflect the optimal state or normal state in the production process.

[0090] The real-time collected data is compared with the reference value to calculate the injection speed deviation, holding pressure deviation and cooling time deviation. The deviation value can be an absolute deviation or a relative deviation.

[0091] Generate injection speed deviation The method is as follows:

[0092] Injection speed deviation The calculation formula is as follows:

[0093]

[0094] in, It is the injection speed proportional factor, obtained through experiments or simulation optimization, and is used to adjust the amplitude of the entire adjustment formula; the value range is: if the maximum injection speed of the injection molding machine is 500mm / s, and the current process requires a milder injection speed to avoid internal stress or flash, then Kinj may be set to 0.5, but it should be ensured that the adjusted injection speed is within the safe operating range of the injection molding machine; It is the melt pressure, a real-time measurement value provided by the pressure sensor on the injection molding machine; the value range is between 10-200MPa; It is the reference value of melt pressure, which is set according to the characteristics of injection molding materials and product requirements; it can be set to 100MPa; It is the mold temperature, a real-time measurement value provided by the temperature sensor on the mold; the value range is 40°C to 60°C; It is the reference value of mold temperature, which is set according to the characteristics of injection molding materials and product requirements; it can be set to 60°C; It is the mold temperature adjustment range, which is used to normalize the mold temperature deviation; the value range is from a few degrees Celsius to more than ten degrees Celsius;

[0095] is the cavity volume, obtained through mold design data or online monitoring system; the value range is 40-90cm³; It is the reference value of the cavity volume, usually the nominal volume during design; the value can be 60cm³; It indicates the influence of melt pressure on injection speed adjustment, which is obtained through experiments or simulation optimization; its value range is between [−1,1]; It indicates the influence of mold temperature on injection speed adjustment, which is obtained through experiments or simulation optimization; the value range is between [−1,1]; It indicates the influence of cavity volume on injection speed adjustment, which is obtained through experiments or simulation optimization; its value range is between [−1,1].

[0096] Formula formation principle:

[0097] The formula is based on the comparison of real-time measurements of several key process parameters with reference values, and quantifies the impact of these deviations on injection speed in the form of an exponential function. Parameter Kinj is the proportional factor of injection speed, which is used to adjust the sensitivity of the entire formula. Deviations of other parameters are weighted by their respective exponents α, β, and γ to reflect their different degrees of influence on injection speed.

[0098] The method for generating the packing pressure deviation is as follows: Packing pressure deviation The calculation formula is as follows:

[0099]

[0100] in, It is the holding pressure proportional factor, obtained through experiments or simulation optimization, and is used to adjust the amplitude of the entire adjustment formula; the value can be 1.2; It is the melt pressure, a real-time measurement value provided by the pressure sensor on the injection molding machine; the value range is between 10-200MPa; It is the reference value of melt pressure, which is set according to the characteristics of injection molding materials and product requirements; it can be set to 100MPa; It is the mold temperature, a real-time measurement value provided by the temperature sensor on the mold; the value range is between 80-120°C; It is the reference value of mold temperature, which is set according to the characteristics of injection molding materials and product requirements; it can be set to 100°C; It is the mold temperature adjustment range, which is used to normalize the mold temperature deviation; the value range is 95-105°C; is the cavity volume, obtained through mold design data or online monitoring system; the value range is between 40-90cm³; It is the reference value of the cavity volume, usually the nominal volume during design; the value can be 60cm³; It is the volume corresponding to the injection volume or injection speed, in real time or based on a set value; it can take a value of 30cm³ / s; It is the volume reference value corresponding to the injection volume or injection speed; the value can be 50cm³ / s; It indicates the influence of melt pressure on the holding pressure adjustment, which is obtained through experiments or simulation optimization; the value range is between [−1,1]; It indicates the influence of mold temperature on the adjustment of holding pressure, which is obtained through experiments or simulation optimization; the value range is between [−1,1]; It indicates the influence of cavity volume on the adjustment of packing pressure, which is obtained through experiments or simulation optimization; its value range is between [−1,1]; It indicates the influence of injection speed on the adjustment of holding pressure, which is obtained through experiments or simulation optimization; its value range is between [−1,1].

[0101] Formula formation principle:

[0102] The formula quantifies the impact of these deviations on the packing pressure adjustment by comprehensively considering the deviations of real-time measurements of parameters such as melt pressure, mold temperature, cavity volume, and injection speed from their reference values. The deviations of each parameter are weighted by their respective indexes to reflect their different degrees of influence on the packing pressure. is the scaling factor for the packing pressure, which is used to adjust the sensitivity of the entire formula.

[0103] The method to generate the cooldown deviation is as follows: Cooldown deviation The calculation formula is as follows:

[0104]

[0105] in, It is the cooling time proportional factor, obtained through experiments or simulation optimization, and is used to adjust the amplitude of the entire adjustment formula; the value range is 0.8-1.2; It is the mold temperature, a real-time measurement value provided by the temperature sensor on the mold; the value range is 80-120°C; It is the ambient temperature, a real-time measurement value provided by the ambient temperature sensor; the value range is 20-30°C; It is the mold temperature adjustment range or reference temperature range, which is used to normalize the mold temperature deviation; the value range is 95-105°C; is the product thickness, obtained through product design data or online monitoring system; the value can be 50mm; It is the reference value of product thickness, usually the nominal thickness during design; the value can be 100mm; is the thermal conductivity of the material, which is provided by the material supplier or determined experimentally; the value range is 380−400; It is the reference value of thermal conductivity of the material, used to compare the actual thermal conductivity with the standard value; the value range is 300; It indicates the influence of mold temperature on cooling time adjustment, which is obtained through experiments or simulation optimization; the value range is between [−1,1]; It indicates the influence of product thickness on cooling time adjustment, which is obtained through experiments or simulation optimization; the value range is between [−1,1]; It indicates the influence of material thermal conductivity on cooling time adjustment, which is obtained through experiments or simulation optimization. Its value range is between [−1,1].

[0106] Formula formation principle:

[0107] The formula quantifies the impact of these deviations on cooling time adjustment by comprehensively considering the deviations of real-time measurements of parameters such as mold temperature, product thickness and material thermal conductivity from reference values. The deviation of each parameter is weighted by its own index to reflect the different degrees of their impact on cooling time. is the scaling factor for the cooling time, used to adjust the sensitivity of the entire formula.

[0108] According to the content of step 2: Improve product quality stability: By monitoring and calculating the deviations of these key parameters, possible fluctuations or anomalies in the production process can be discovered in a timely manner, so that production parameters can be quickly adjusted to ensure that each batch of products is as close to the ideal state as possible during the molding process, thereby improving the product's dimensional accuracy, appearance quality and performance consistency.

[0109] Optimizing production efficiency: Analyzing deviation data can help identify bottlenecks or inefficiencies in the production process. For example, if you find that the cooling time deviation is large, it may mean that the cooling system needs to be optimized to reduce unnecessary waiting time and improve the overall efficiency of the production line.

[0110] Reduce production costs: By accurately controlling the injection speed, holding pressure and cooling time, problems such as material waste, increased energy consumption and increased scrap rate caused by improper parameter settings can be reduced. Deviation analysis helps to find the best combination of process parameters and achieve optimal allocation of resources, thereby reducing production costs.

[0111] Step 3: preset threshold 1, threshold 2 and threshold 3, and obtain the injection speed deviation , Holding pressure deviation and cooling time deviation Compare with threshold 1, threshold 2 and threshold 3 respectively; determine whether the injection speed, holding pressure and cooling time need to be adjusted;

[0112] The specific scheme of step three is as follows: the method for detecting whether the injection speed, holding pressure and cooling time need to be adjusted is as follows;

[0113] The preset deviation threshold 1 is Threshold 1; the deviation threshold 2 is Threshold 2; the deviation threshold 3 is Threshold 3;

[0114] Compare the current injection speed deviation ΔV with the preset deviation threshold value Threshold1. When the current injection speed deviation ΔV> the preset deviation threshold value Threshold1, it is judged as abnormal data and needs to be adjusted; when the current injection speed deviation ΔV≤ the preset deviation threshold value Threshold1, it is within the normal range and does not need to be adjusted;

[0115] Set the current holding pressure deviation Compared with the preset deviation threshold 2 Threshold2, when >Deviation threshold 2 Threshold 2, it is judged as abnormal data and needs to be adjusted; when the current holding pressure deviation ≤Deviation Threshold 2, it is within the normal range and does not need to be adjusted;

[0116] The current cooling time deviation Compare with the preset deviation threshold 3,

[0117] When the current cooling time deviates > Deviation threshold 3, it is judged as abnormal data and needs to be adjusted; when the current cooling time deviation ≤Deviation Threshold 3, it is within the normal range and does not need to be adjusted.

[0118] It should be noted that the setting of deviation threshold 1, deviation threshold 2 and deviation threshold 3 is a process that comprehensively considers multiple factors such as equipment performance, product quality requirements, production process and experience, material characteristics and safety factors. In practical applications, flexible adjustment and optimization are required according to specific circumstances.

[0119] According to the content of step three: immediate response and rapid adjustment: by setting thresholds and monitoring deviations in real time, the system can immediately identify which process parameters deviate from the preset range. Once the deviation exceeds the threshold, the adjustment mechanism can be quickly triggered to avoid the accumulation of problems and lead to more serious consequences, such as reduced product quality or production interruption.

[0120] Improve the controllability of the production process: The setting of thresholds provides clear control standards for key parameters in the production process. By comparing deviations with thresholds, companies can clearly understand the production status and make precise adjustments as needed, thereby enhancing control over the production process.

[0121] Prevent quality problems: Comparison of deviations with thresholds helps to detect potential quality problems in advance. When the deviation approaches or exceeds the threshold, timely measures can be taken to adjust, which can effectively prevent the generation of defective products, reduce scrap and rework rates, and improve product quality.

[0122] Step 4: When the injection speed needs to be adjusted, adjust the injection speed according to the injection speed deviation. Calculate the injection speed increment Δ adjust; according to the injection speed increment Δ Adjust the injection speed to normal state;

[0123] The specific solution of step four is that when the corresponding control parameters need to be adjusted, the adjusted parameter values ​​are sent to the actuator of the injection molding machine through the output module of the control system, and the actuator makes corresponding adjustments according to the received parameter values.

[0124] Calculate the injection speed adjustment increment The method is as follows:

[0125] Injection speed adjustment increment The calculation formula is as follows:

[0126]

[0127] in, is the adjustment increment of the injection speed, that is, the adjustment amount that needs to be added to the current injection speed to make it closer to the target speed; It is the proportional coefficient for calculating the injection speed adjustment increment, which determines the current deviation The direct impact on the adjustment increment, the greater the deviation, the greater the adjustment amount; the value range is between 0.1 and 10; It is the integral coefficient for calculating the injection speed adjustment increment, which takes into account the cumulative effect of the deviation; the value range is between 0.01 and 1; It is the differential coefficient for calculating the injection speed adjustment increment. It predicts the future change trend of the deviation and makes adjustments in advance accordingly. The value range is between 0 and 1. It is the accumulation of past injection speed deviation values, indicating the sum of deviations from the initial time to the current time, which helps to eliminate the steady-state error of the system; It is the rate of change of the injection speed deviation value, which helps to reduce overshoot and oscillation of the system. is the deviation of injection speed.

[0128] Formula formation principle

[0129] This formula combines the three basic elements of PID control to address different problems in injection speed control:

[0130] Proportional term : Directly respond to current deviations and provide rapid adjustments;

[0131] Integral Item : Eliminate steady-state errors and ensure that the system maintains accuracy even after long periods of operation;

[0132] Differential term : Predict future changes in deviations and reduce system overshoot and oscillation;

[0133] At the same time, by introducing additional adjustment functions, the formula can more flexibly cope with complex system dynamics and external environmental changes.

[0134] Precise control of injection speed: By calculating the injection speed increment and adjusting it accordingly, precise control of the injection speed can be achieved. This precise control helps ensure that the flow speed and filling effect of the plastic melt in the mold during the injection molding process meet expectations, thereby improving the dimensional accuracy and appearance quality of the product.

[0135] Improve product quality stability: Even a slight change in injection speed may have a significant impact on product quality. By adjusting the injection speed in a timely manner, product quality problems caused by speed deviation, such as short shots, flash, shrinkage, etc., can be quickly corrected, thereby improving the stability and consistency of product quality.

[0136] According to the content of step 4: Optimize the production cycle: A reasonable injection speed is crucial to controlling the production cycle. Too fast an injection speed may lead to problems such as excessive pressure in the mold and unstable flow of the plastic melt, while too slow a speed will extend the production cycle. By adjusting the injection speed to the optimal state, the production cycle can be optimized and production efficiency can be improved while ensuring product quality.

[0137] Step 5: When the holding pressure needs to be adjusted, adjust the holding pressure according to the holding pressure deviation. Calculate the holding pressure increment ΔPadjust; adjust the holding pressure to a normal state according to the holding pressure increment ΔPadjust;

[0138] The specific solution of step five is that when the corresponding control parameters need to be adjusted, the adjusted parameter values ​​are sent to the actuator of the injection molding machine through the output module of the control system, and the actuator makes corresponding adjustments according to the received parameter values.

[0139] Calculate the packing pressure adjustment increment The method is as follows:

[0140] Holding pressure adjustment increment The calculation formula is as follows:

[0141]

[0142] in, is the adjustment increment of the holding pressure; It is the proportional coefficient for calculating the increment of the holding pressure adjustment, which is usually determined by system identification, experimental adjustment or optimization algorithm; the value range is between 0.1 and 10; It is the integral coefficient for calculating the increment of the holding pressure adjustment, which is usually determined by system identification, experimental adjustment or optimization algorithm; the value range is between 0.01 and 1; It is the differential coefficient for calculating the increment of the holding pressure adjustment, which is usually determined by system identification, experimental adjustment or optimization algorithm; the value range is between 0 and 1; It is the accumulation of past holding pressure deviation values; is the rate of change of the holding pressure deviation value.

[0143] Formation principle:

[0144] PID control items mainly include proportional items, integral items and differential items, specifically:

[0145] Proportional term : Directly respond to the current deviation. The larger the deviation, the greater the adjustment amount.

[0146] Integral Item : Used to eliminate steady-state errors, that is, when there is a constant deviation in the system, the integral term will accumulate over time until the deviation is eliminated.

[0147] Differential term : Predicting future changes in deviation and adjusting in advance helps reduce overshoot and oscillation of the system.

[0148] According to the content of step 5: Optimize the internal quality of the product: Holding pressure plays a vital role in the injection molding process. It affects the compaction degree of the plastic melt in the mold and the shrinkage rate after cooling. By accurately adjusting the holding pressure, the density and dimensional stability of the internal structure of the product can be ensured, and internal defects such as shrinkage holes and depressions can be reduced, thereby improving the overall quality of the product.

[0149] Improve product appearance quality: Improper holding pressure may cause appearance defects such as flash and burrs on the product surface. By calculating and adjusting the holding pressure increment according to the holding pressure deviation, it can ensure that the plastic melt is properly compacted in the mold, avoid the occurrence of these appearance problems, and improve the appearance and market acceptance of the product.

[0150] Enhance mold protection: Too high holding pressure may cause excessive burden on the mold, causing deformation, wear and even damage to the mold. Too low holding pressure may not effectively compact the plastic melt, affecting product quality. By accurately adjusting the holding pressure to a normal state, you can reduce the burden on the mold and extend the service life of the mold while ensuring product quality.

[0151] Step 6: When the cooling time needs to be adjusted, adjust the cooling time according to the cooling time deviation. Calculate the cooling time increment ΔTadjust; adjust the cooling time to a normal state according to the cooling time increment ΔTadjust;

[0152] The specific solution of step six is ​​that when the corresponding control parameters need to be adjusted, the adjusted parameter values ​​are sent to the actuator of the injection molding machine through the output module of the control system, and the actuator makes corresponding adjustments according to the received parameter values.

[0153] Calculating Cooldown Adjustment Increments The method is as follows:

[0154] Cooldown adjustment increment The calculation formula is as follows:

[0155]

[0156] Among them, ΔPadjust is the adjustment increment of the holding pressure; It is the incremental proportional coefficient for calculating the cooling time adjustment, which is usually determined by system identification, experimental adjustment or optimization algorithm; the value range is between 0.1 and 10; It is the incremental integral coefficient for calculating the cooling time adjustment, which is usually determined by system identification, experimental adjustment or optimization algorithm; the value range is between 0.01 and 1; It is the incremental differential coefficient for calculating the cooling time adjustment, which is usually determined by system identification, experimental adjustment or optimization algorithm; the value range is between 0 and 1; It is the accumulation of past cooling time deviation values; is the rate of change of the cooling time deviation value.

[0157] Formation Principle

[0158] PID control items mainly include proportional items, integral items and differential items, specifically:

[0159] Proportional term : Directly respond to the current deviation. The larger the deviation, the greater the adjustment amount.

[0160] Integral Item : Used to eliminate steady-state errors, that is, when there is a constant deviation in the system, the integral term will accumulate over time until the deviation is eliminated.

[0161] Differential term : Predicting future changes in deviation and adjusting in advance helps reduce overshoot and oscillation of the system.

[0162] According to the content of step six: Ensure the cooling effect of the product: Cooling time is one of the most important parameters in the injection molding process, which directly affects the cooling effect and final performance of the product. By accurately calculating the cooling time increment and adjusting the cooling time, it can ensure that the product is fully cooled in the mold, avoiding deformation and uneven shrinkage caused by insufficient cooling, thereby improving the dimensional stability and physical properties of the product.

[0163] Improve production efficiency: Reasonable cooling time setting helps shorten the injection molding cycle and improve production efficiency. Too long cooling time will increase the production cycle and reduce production efficiency; while too short cooling time may cause the product to be taken out before it is completely cooled, affecting product quality. By adjusting the cooling time to a normal state according to the cooling time deviation, the production cycle can be optimized and production efficiency can be improved.

[0164] Reduce energy waste: Cooling systems usually consume a lot of energy. By accurately controlling the cooling time, unnecessary energy waste can be avoided. For example, when the cooling time is set too long, the cooling system will continue to run after the product has been fully cooled, causing energy waste. By adjusting the cooling time to a normal state, it can ensure that the cooling system only runs when necessary, reducing energy consumption.

[0165] Step 7: Monitor the operating status and production effect of the injection molding machine in real time to determine the injection speed error , holding pressure error , Cooling time error Whether the adjustment standards are met. If not, an early warning will be issued;

[0166] The specific solution of step seven is to collect the injection speed adjustment value after executing the adjustment instruction. , Holding pressure adjustment value and Cooldown Adjustment Value ;

[0167] Adjust the injection speed to , Holding pressure adjustment value and Cooldown Adjustment Value Respectively with the ideal injection speed , ideal value of holding pressure , ideal cooling time Perform difference calculation to obtain the injection speed error , holding pressure error and cooling time error ;

[0168] Preset the injection speed error standard threshold ϵV, the holding pressure error standard threshold ϵP and the cooling time error standard threshold ϵT;

[0169] The injection speed error , holding pressure error , Cooling time error The values ​​are compared with the injection speed error standard threshold ϵV, the holding pressure error standard threshold ϵP and the cooling time error standard threshold ϵT respectively to determine whether the adjustment standard is met; if the adjustment standard is not met, an early warning is issued.

[0170] The method for determining whether the adjustment criteria have been met is:

[0171] Injection speed adjustment value Ideal injection speed The error between The calculation formula is as follows:

[0172]

[0173] Holding pressure adjustment value Ideal value of holding pressure The error between The calculation formula is as follows:

[0174]

[0175] Cooldown time adjustment value Ideal cooling time The error between The calculation formula is as follows:

[0176]

[0177] Determining injection speed error The method of determining whether the adjustment criteria have been met is as follows:

[0178] if ≤ϵV, the injection speed reaches the adjustment standard. If >ϵV, an injection speed warning is issued;

[0179] Determine the holding pressure error The method of determining whether the adjustment criteria have been met is as follows:

[0180] if ≤ϵP, the holding pressure reaches the adjustment standard. If >ϵP, a pressure-maintaining warning is issued;

[0181] Determine the cooling time error The method of determining whether the adjustment criteria have been met is as follows:

[0182] if ≤ϵT, the cooling time reaches the adjustment standard, if >ϵT, a cooling time warning will be issued.

[0183] Formula formation principle

[0184] The above formula is based on basic mathematical operations, such as absolute value operations and comparison operations, to evaluate whether the adjustment value is close to the ideal value and to determine whether an early warning is needed.

[0185] Among them, Vadjust, Padjust, Tadjust: respectively represent the adjustment values ​​of injection speed, holding pressure and cooling time, which are provided by the injection molding machine control system or sensor. The value range of Vadjust is ±5mm / s to ±50mm / s; the value range of Padjust is ±5MPa to ±10MPa; if the current cooling time of Tadjust is 30 seconds, the adjustment value range may be ±5 seconds; Videal is the ideal value of injection speed, which can be set to 80mm / s according to production requirements or process standards; Pideal is the ideal value of holding pressure, which can be set to 60MPa according to production requirements or process standards; Tideal is the ideal value of cooling time, which can be set to 35 seconds according to production requirements or process standards. ϵV is the standard error threshold of injection speed, which is determined according to production experience and quality requirements, and the value range is ±2mm / s; ϵP is the standard error threshold of holding pressure, which is determined according to production experience and quality requirements, and the value range is ±1MPa; ϵT is the standard error threshold of cooling time, which is determined according to production experience and quality requirements, and the value range is ±2 seconds.

[0186] According to the content of step seven: immediate problem discovery and resolution: through real-time monitoring, the system can instantly capture any abnormality or deviation during the operation of the injection molding machine. Once the error of key parameters such as injection speed, holding pressure, cooling time, etc. exceeds the preset adjustment standard, the early warning mechanism is immediately triggered, allowing the operator to respond quickly and take measures to avoid the problem from expanding or affecting product quality.

[0187] Improve the stability of the production process: Real-time monitoring and early warning mechanisms help maintain the stability of the production process. By correcting deviations in a timely manner, it can ensure that the injection molding machine always operates in the best condition, reducing production instability and product quality problems caused by parameter fluctuations.

[0188] Reduce scrap and rework rates: Through real-time monitoring and early warning, process parameter deviations that may lead to product defects can be discovered and corrected in a timely manner. This helps reduce scrap and rework rates, improve the first-time pass rate of products, and thus save production costs and time.

[0189] On the other hand, the present invention also discloses an industrial automation control system based on real-time data feedback, including: a data acquisition module for real-time acquisition of injection speed data, holding pressure data and cooling time data of an injection molding machine during production;

[0190] The data processing module is used to process and analyze the injection speed data, holding pressure data and cooling time data to obtain the injection speed deviation. , Holding pressure deviation and cooling time deviation ;

[0191] The data decision module is used to preset thresholds 1, 2 and 3, and to obtain the injection speed deviation , Holding pressure deviation and cooling time deviation Compare with threshold 1, threshold 2 and threshold 3 respectively; determine whether the injection speed, holding pressure and cooling time need to be adjusted;

[0192] The execution module is used to adjust the injection speed according to the injection speed deviation when the injection speed needs to be adjusted. Calculate the injection speed increment Δ adjust; according to the injection speed increment Δ Adjust the injection speed to normal state;

[0193] When the holding pressure needs to be adjusted, according to the holding pressure deviation Calculate the holding pressure increment ΔPadjust; adjust the holding pressure to a normal state according to the holding pressure increment ΔPadjust;

[0194] When the cooling time needs to be adjusted, Calculate the cooling time increment ΔTadjust; adjust the cooling time to a normal state according to the cooling time increment ΔTadjust;

[0195] Monitoring and alarm module, used to monitor the operating status and production effect of the injection molding machine in real time, and judge the injection speed error , holding pressure error , Cooling time error Whether the adjustment standards are met. If not, an early warning will be issued.

[0196] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0197] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0198] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An industrial automation control method based on real-time data feedback, characterized in that: The following steps are involved: Real-time acquisition of injection speed data, holding pressure data, and cooling time data of the injection molding machine during the production process; Process and analyze the injection speed data, holding pressure data, and cooling time data to obtain the injection speed deviation , Holding pressure deviation and cooling time deviation ; Injection speed deviation The calculation formula is as follows: in, is the injection speed scaling factor; is the melt pressure; is the melt pressure reference value; is the mold temperature; is the mold temperature reference value; is the mold temperature adjustment range; is the cavity volume; is the reference value of cavity volume; It indicates the influence of melt pressure on injection speed adjustment; It indicates the influence of mold temperature on injection speed adjustment; It indicates the influence of cavity volume on injection speed adjustment; Holding pressure deviation The calculation formula is as follows: in, is the holding pressure proportionality factor; is the melt pressure; is the melt pressure reference value; is the mold temperature; is the mold temperature reference value; is the mold temperature adjustment range; is the cavity volume; is the reference value of cavity volume; is the volume corresponding to the injection volume or injection speed; It is the volume reference value corresponding to the injection volume or injection speed; It indicates the influence of melt pressure on the adjustment of holding pressure; It indicates the influence of mold temperature on the adjustment of holding pressure; It indicates the influence of cavity volume on the adjustment of holding pressure; It indicates the influence of injection speed on the adjustment of holding pressure; Cooling time deviation The calculation formula is as follows: in, is the cooling time scaling factor; is the mold temperature; is the ambient temperature; It is the mold temperature adjustment range or reference temperature range; is the product thickness; It is the reference value of product thickness; is the thermal conductivity of the material; is the reference value of thermal conductivity of the material; It indicates the influence of mold temperature on cooling time adjustment; It indicates the influence of product thickness on cooling time adjustment; It indicates the influence of the thermal conductivity of the material on the adjustment of the cooling time; Preset threshold 1, threshold 2 and threshold 3, and the injection speed deviation , Holding pressure deviation and cooling time deviation Compare with threshold 1, threshold 2 and threshold 3 respectively; determine whether the injection speed, holding pressure and cooling time need to be adjusted; When the injection speed needs to be adjusted, Calculate the injection speed increment Δ adjust; according to the injection speed increment Δ Adjust the injection speed to normal state; Injection speed adjustment increment The calculation formula is as follows: in, is the adjustment increment of injection speed; It is the proportional coefficient for calculating the injection speed adjustment increment; It is the integral coefficient for calculating the injection speed adjustment increment; is the differential coefficient for calculating the injection speed adjustment increment; It is the accumulation of past injection speed deviation values; is the rate of change of injection speed deviation value; When the holding pressure needs to be adjusted, according to the holding pressure deviation Calculate the holding pressure increment ΔPadjust; adjust the holding pressure to a normal state according to the holding pressure increment ΔPadjust; Holding pressure adjustment increment The calculation formula is as follows: in, is the adjustment increment of the holding pressure; is the proportionality factor for calculating the holding pressure adjustment increment; is the integral coefficient for calculating the holding pressure adjustment increment; is the differential coefficient for calculating the holding pressure adjustment increment; It is the accumulation of past holding pressure deviation values; is the rate of change of the holding pressure deviation value; When the cooling time needs to be adjusted, Calculate the cooling time increment ΔTadjust; adjust the cooling time to a normal state according to the cooling time increment ΔTadjust; Cooldown adjustment increment The calculation formula is as follows: in, is the adjustment increment of the cooling time; It is the incremental proportional coefficient for calculating the cooling time adjustment; It is the incremental integral coefficient for calculating the cooling time adjustment; It is the differential coefficient for calculating the cooling time adjustment increment; It is the accumulation of past cooling time deviation values; is the rate of change of the cooling time deviation value; Monitor the operating status and production effect of the injection molding machine in real time and determine the injection speed error , holding pressure error , Cooling time error Whether the adjustment standards are met. If not, an early warning will be issued; specifically: Before executing the adjustment command, collect the initial value A of injection speed, initial value B of holding pressure and initial value C of cooling time; after executing the adjustment command, collect the injection speed adjustment value , Holding pressure adjustment value and Cooldown Adjustment Values ; According to the collected injection speed initial value A, holding pressure initial value B, cooling time initial value C, injection speed increment Δ adjust, holding pressure increment ΔPadjust, cooling time increment ΔTadjust respectively calculate the injection speed target value , holding pressure target value , cooling time target value ; The formula is as follows: A+D adjust B+ΔPadjust C+ΔTadjust Adjust the injection speed to , Holding pressure adjustment value and Cooldown Adjustment Values Respectively with the injection speed target value , holding pressure target value , cooling time target value Perform difference calculation to obtain the injection speed error , holding pressure error and cooling time error ; Specifically: Injection speed adjustment value and injection speed target value The error between The calculation formula is as follows: Holding pressure adjustment value and holding pressure target value The error between The calculation formula is as follows: Cooldown time adjustment value Cooldown time target The error between The calculation formula is as follows: Preset the injection speed error standard threshold ϵV, the holding pressure error standard threshold ϵP and the cooling time error standard threshold ϵT; The injection speed error , holding pressure error , Cooling time error Compare with the injection speed error standard threshold ϵV, the holding pressure error standard threshold ϵP and the cooling time error standard threshold ϵT respectively to determine whether the adjustment standard is met; if the adjustment standard is not met, an early warning is issued; The method for determining whether the adjustment criteria have been met is: Determining injection speed error The method of determining whether the adjustment criteria have been met is as follows: if ≤ϵV, the injection speed reaches the adjustment standard. If >ϵV, an injection speed warning is issued; Determine the holding pressure error The method of determining whether the adjustment criteria have been met is as follows: if ≤ϵP, the holding pressure reaches the adjustment standard. If >ϵP, a pressure-maintaining warning is issued; Determine the cooling time error The method of determining whether the adjustment criteria have been met is as follows: if ≤ϵT, the cooling time reaches the adjustment standard, if >ϵT, a cooling time warning will be issued.

2. The industrial automation control method based on real-time data feedback according to claim 1, characterized in that: The method to detect whether the injection speed, holding pressure and cooling time need to be adjusted is as follows; The preset deviation threshold 1 is Threshold 1; the deviation threshold 2 is Threshold 2; the deviation threshold 3 is Threshold 3; Compare the current injection speed deviation ΔV with the preset deviation threshold value Threshold1. When the current injection speed deviation ΔV> the preset deviation threshold value Threshold1, it is judged as abnormal data and needs to be adjusted; when the current injection speed deviation ΔV≤ the preset deviation threshold value Threshold1, it is within the normal range and does not need to be adjusted; Set the current holding pressure deviation Compared with the preset deviation threshold 2 Threshold2, when >Deviation threshold 2 Threshold 2, it is judged as abnormal data and needs to be adjusted; when the current holding pressure deviation ≤Deviation Threshold 2, it is within the normal range and does not need to be adjusted; The current cooling time deviation Compare with the preset deviation threshold 3, When the current cooling time deviates > Deviation threshold 3, it is judged as abnormal data and needs to be adjusted; when the current cooling time deviation ≤Deviation Threshold 3, it is within the normal range and does not need to be adjusted.

3. The industrial automation control method based on real-time data feedback according to claim 2 is characterized in that: When the corresponding control parameters need to be adjusted, the adjusted parameter values ​​are sent to the actuator of the injection molding machine through the output module of the control system, and the actuator makes corresponding adjustments according to the received parameter values.

4. An industrial automation control system based on real-time data feedback, characterized in that: An industrial automation control method based on real-time data feedback for implementing any one of claims 1 to 3, comprising: Data acquisition module, used to obtain real-time injection speed data, holding pressure data and cooling time data of the injection molding machine during the production process; The data processing module is used to process and analyze the injection speed data, holding pressure data and cooling time data to obtain the injection speed deviation. , Holding pressure deviation and cooling time deviation ; The data decision module is used to preset thresholds 1, 2 and 3, and to obtain the injection speed deviation , Holding pressure deviation and cooling time deviation Compare with threshold 1, threshold 2 and threshold 3 respectively; determine whether the injection speed, holding pressure and cooling time need to be adjusted; The execution module is used to adjust the injection speed according to the injection speed deviation when the injection speed needs to be adjusted. Calculate the injection speed increment Δ adjust; according to the injection speed increment Δ Adjust the injection speed to normal state; When the holding pressure needs to be adjusted, according to the holding pressure deviation Calculate the holding pressure increment ΔPadjust; adjust the holding pressure to a normal state according to the holding pressure increment ΔPadjust; When the cooling time needs to be adjusted, Calculate the cooling time increment ΔTadjust; adjust the cooling time to a normal state according to the cooling time increment ΔTadjust; Monitoring and alarm module, used to monitor the operating status and production effect of the injection molding machine in real time, and judge the injection speed error , holding pressure error , Cooling time error Whether the adjustment standards are met. If not, an early warning will be issued.

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