A plastic injection molding process control method and system

Abstract

The invention relates to the technical field of plastic injection molding, and specifically discloses a plastic injection molding process control method and system, comprising the following steps: mold preparation, plastic material preparation, injection, cooling and solidification, and demoulding; and detecting and controlling the injection process: A: real-time monitoring of an injection molding machine during the injection process to determine whether the injection molding machine has fluctuations; B: detecting the injection result to determine whether the injection result is qualified; C: analyzing whether the injection molding machine has an impact on the quality of the injection result when it fluctuates; the invention can find out the key factors affecting the product quality by analyzing the monitoring data of the injection molding machine and the detection data of the injection result, which is helpful to realize the transparency of the production process, so that managers can more accurately grasp the production progress and quality status, and improve the stability and consistency of product quality.

Description

Technical Field

[0001] The invention relates to the technical field of plastic injection molding, and in particular to a plastic injection molding process control method and system. Background Art

[0002] Plastic is a polymer compound composed of synthetic resin and fillers, plasticizers, stabilizers, lubricants, colorants and other additives. The main component is resin, a polymer compound polymerized by addition polymerization or condensation polymerization. Its deformation resistance is medium, between fiber and rubber. It is composed of synthetic resin and fillers, plasticizers, stabilizers, lubricants, colorants and other additives. The main characteristics of plastics include light weight, excellent chemical stability, no rust, good impact resistance, good transparency and wear resistance, good insulation, low thermal conductivity, general formability, good colorability, low processing cost, etc.

[0003] A Chinese invention patent with publication number CN113665079B discloses a plastic injection molding process control method and system, the method comprising: collecting data of at least a machine, a mold and related auxiliary machines; generating a set of standard process curves; obtaining segmented results; analyzing the fluctuation range of each parameter point on each segment of each standard process curve; judging the quality of the plastic injection molded product to obtain a judgment result of the product quality.

[0004] However, the existing technology often only focuses on a single aspect of the injection machine or the injection result. It is difficult to accurately determine whether the fluctuation of the injection machine has an impact on the quality of the injection result. There is a lack of a comprehensive management system to integrate and analyze data from all aspects. Summary of the invention

[0005] The object of the present invention is to provide a plastic injection molding process control method and system to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A plastic injection molding process control method and system, comprising the following steps: mold preparation, plastic material preparation, injection, cooling and curing, and demoulding;

[0008] And the injection process is detected and controlled:

[0009] A: Monitor the injection machine in real time during the injection process to determine whether the injection machine has fluctuations;

[0010] B: Test the injection results to determine whether they are qualified;

[0011] C: Analyze whether the fluctuation of the injection machine affects the quality of the injection result;

[0012] C1: According to the historical records, the monitoring data JC of the injection machine and the detection parameters M of the injection results in each injection process in the historical records are obtained respectively, and the monitoring data JC and the detection parameters M in each injection process are packaged into a set of point data (M, JC);

[0013] C2: Based on all the point data, an impact analysis point map is constructed in a two-dimensional coordinate system with the detection parameter as the X-axis and the monitoring parameter as the Y-axis;

[0014] C3: According to all the points in the impact analysis point map, a fitting straight line is obtained by the least square method, and the equation of the fitting straight line is: Y = k × X + b, where k represents the slope of the fitting straight line, b represents the intercept of the fitting straight line, and k and b are constants;

[0015] C4: Analyze the slope of the fitted straight line to determine whether the injection machine fluctuation affects the quality of the injection result;

[0016] The slope threshold is preset as KY, and the absolute value of the slope |k| is compared and analyzed with the slope threshold KY;

[0017] If the absolute value of the slope |k| is less than the slope threshold KY, it is determined that the injection machine fluctuation will not affect the quality of the injection result;

[0018] If the absolute value of the slope |k| ≥ the slope threshold KY, it is determined that the injection machine fluctuation will affect the quality of the injection result.

[0019] As a further solution of the present invention: the method for determining whether the injection molding machine has fluctuations is:

[0020] A1: Monitor the injection machine in real time and obtain monitoring data within the target cycle of the injection machine;

[0021] Among them, the monitoring data include: voltage characterization value, current characterization value, vibration characterization value;

[0022] A2: Calculate and obtain monitoring parameters based on the test data of the injection molding machine;

[0023] A3: Compare and analyze the monitoring parameters to determine whether the injection molding machine has fluctuations.

[0024] As a further solution of the present invention: the method for obtaining the monitoring data is:

[0025] A11: Obtain the real-time voltage of the injection machine within the target cycle, and draw a voltage fluctuation curve based on a two-dimensional coordinate system with time as the X-axis and the real-time voltage as the Y-axis. According to the voltage fluctuation curve, obtain the area of ​​the region enclosed by the voltage fluctuation curve within the target cycle and the average voltage within the target cycle. The ratio of the area to the voltage area threshold is the voltage characterization value, and the voltage characterization value is marked as DY.

[0026] A12: The real-time current of the injection machine in the target cycle is obtained, and a current fluctuation curve is drawn based on a two-dimensional coordinate system with time as the X-axis and the real-time voltage as the Y-axis. According to the current fluctuation curve, the area of ​​the region enclosed by the current fluctuation curve in the target cycle and the average current in the target cycle is obtained. The ratio of the area to the current area threshold is the current characterization value, and the current characterization value is marked as DL.

[0027] A13: Obtain the real-time vibration frequency of the injection molding machine within the target cycle, and draw a vibration fluctuation curve based on a two-dimensional coordinate system with time as the X-axis and real-time voltage as the Y-axis. According to the vibration frequency fluctuation curve, obtain the area of ​​the region enclosed by the vibration frequency fluctuation curve within the target cycle and the average vibration frequency within the target cycle. The ratio of this area to the vibration frequency area threshold is the vibration characterization value, and the vibration characterization value is marked as ZD.

[0028] As a further solution of the present invention: the voltage characterization value DY, the current characterization value DL, and the vibration characterization value ZD are processed by the formula: The monitoring parameter JC is calculated, where a1, a2, and a3 are preset proportional factors and are all greater than 0.

[0029] As a further solution of the present invention: the monitoring parameter threshold is preset as JY, and the monitoring parameter JC is compared and analyzed with the monitoring parameter threshold JY;

[0030] If the monitoring parameter JC is less than the monitoring parameter threshold JY, it is determined that the injection molding machine has no drastic or continuous fluctuations within the target cycle;

[0031] If the monitoring parameter JC ≥ the monitoring parameter threshold JY, it is determined that the injection molding machine has experienced drastic or continuous fluctuations within the target cycle.

[0032] As a further solution of the present invention: the method for determining whether the injection result is qualified is:

[0033] B1: Test the injection result and obtain the test data of the injection result;

[0034] Among them, the detection data include: bubble characterization value, fluidity characterization value;

[0035] B2: Calculate and obtain the detection parameters of the injection results according to the detection data of the injection results;

[0036] B3: Compare and analyze the obtained test parameters to determine whether the injection result is qualified.

[0037] As a further solution of the present invention: the method for acquiring the detection data is:

[0038] B11: A sound wave transmitting device is arranged on one side of the mold, and a sound wave receiving device is arranged on the other side of the mold. The sound wave transmitting device transmits a sound wave of fixed intensity to the plastic material injected into the mold, so that the sound wave passes through the mold and the plastic material in the mold, and the sound wave is received by the sound wave receiving device to obtain the residual intensity of the sound wave. The difference between the obtained residual intensity of the sound wave and the expected intensity of the sound wave is calculated and the absolute value is taken. The obtained absolute difference is the bubble characterization value, and the bubble characterization value is marked as QP;

[0039] B12: Perform fluidity test on plastic materials by using a fluidity testing instrument to evaluate the fluidity uniformity of the injection result, and record the evaluation result as a fluidity characterization value. The larger the fluidity characterization value, the better the fluidity uniformity of the injection result, and the fluidity characterization value is marked as LD.

[0040] As a further solution of the present invention: the bubble characterization value QP and the fluidity characterization value LD are subjected to data processing, and the ratio of the bubble characterization value QP to the fluidity characterization value LD is calculated. The ratio of the obtained ratio to the ratio threshold is the detection parameter, and the detection parameter is marked as M.

[0041] As a further solution of the present invention: the detection parameter threshold is preset as MY, and the detection parameter M is compared and analyzed with the detection parameter threshold MY;

[0042] If the detection parameter M is less than the detection parameter threshold MY, the injection result is determined to be qualified;

[0043] If the detection parameter M≥the detection parameter threshold MY, the injection result is determined to be unqualified.

[0044] A plastic injection molding process control system, comprising:

[0045] A fluctuation analysis module, which is used to monitor the injection machine in real time during the injection process and determine whether the injection machine has fluctuations;

[0046] A qualified determination module, which is used to detect the injection result and determine whether the injection result is qualified;

[0047] The impact analysis module is used to analyze whether fluctuations in the injection machine have an impact on the quality of the injection result.

[0048] Beneficial effects of the present invention:

[0049] (1) The present invention monitors the operating status of the injection molding machine in real time and promptly detects abnormal fluctuations in parameters such as voltage, current and vibration, thereby preventing mechanical failures and reducing the risk of production interruption. This preventive maintenance measure helps ensure the continuous and stable operation of the injection molding machine, thereby improving production efficiency;

[0050] (2) The present invention can evaluate the quality of the product by detecting the injection results, which helps to ensure that the product meets the preset quality standards, reduce the defective rate, and improve customer satisfaction;

[0051] (3) The present invention can identify key factors affecting product quality by analyzing the monitoring data of the injection machine and the detection data of the injection results, which helps to achieve transparency in the production process, allowing managers to more accurately grasp the production progress and quality status, and improve the stability and consistency of product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Figure 1 is a flow chart of the method of the present invention;

[0054] Figure 2 It is a flow chart of the method for determining whether an injection molding machine has fluctuations in the present invention;

[0055] Figure 3 It is a flow chart of the method for determining whether the injection result is qualified in the present invention;

[0056] Figure 4 It is a flow chart of the method for analyzing whether the fluctuation of the injection machine affects the quality of the injection result in the present invention;

[0057] Figure 5 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0058] 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.

[0059] Embodiment 1:

[0060] See also Figure 1 - Figure 4As shown, a plastic injection molding process control method according to an embodiment of the present invention comprises the following steps:

[0061] Step 1: Mold preparation: Prepare the mold for manufacturing the required plastic products in advance, including design, manufacturing and installation;

[0062] Among them, the design of the mold should be based on the shape, size and material properties of the required product, and factors such as the mold material and processing accuracy should be considered during manufacturing;

[0063] Step 2: Plastic material preparation: Heat the plastic granules or powder to a molten state, making it viscous and fluid, and can be pushed into the mold by the injection machine;

[0064] Step 3: Injection: The molten plastic material is injected into the mold through the high pressure of the injection machine to fill the entire mold cavity;

[0065] During the injection process, the molten plastic material needs to be accurately filled into each cavity of the mold under high pressure. If the parameters of the injection molding machine are not properly controlled, defects in the plastic product may occur, which will directly affect the quality of the final product.

[0066] A: Real-time monitoring of the injection machine during the injection process can be used to determine whether the injection machine has fluctuations. Through real-time monitoring, potential mechanical failures can be predicted and prevented, the risk of production interruption can be reduced, and problems can be discovered and solved in a timely manner to ensure the continuous and stable operation of the injection machine, thereby improving production efficiency;

[0067] A1: Monitor the injection machine in real time and obtain monitoring data within the target cycle of the injection machine;

[0068] Among them, the monitoring data include: voltage characterization value, current characterization value, vibration characterization value;

[0069] Target cycles include: 1 minute, 3 minutes;

[0070] Collect data on key parameters such as voltage, current and vibration to provide a basis for subsequent analysis. By setting the target cycle, you can have a more comprehensive understanding of the operating status of the injection molding machine.

[0071] A11: Obtain the real-time voltage of the injection machine within the target cycle, and draw a voltage fluctuation curve based on a two-dimensional coordinate system with time as the X-axis and the real-time voltage as the Y-axis. According to the voltage fluctuation curve, obtain the area of ​​the region enclosed by the voltage fluctuation curve within the target cycle and the average voltage within the target cycle. The ratio of the area to the voltage area threshold is the voltage characterization value, and the voltage characterization value is marked as DY.

[0072] A12: The real-time current of the injection machine in the target cycle is obtained, and a current fluctuation curve is drawn based on a two-dimensional coordinate system with time as the X-axis and the real-time voltage as the Y-axis. According to the current fluctuation curve, the area of ​​the region enclosed by the current fluctuation curve in the target cycle and the average current in the target cycle is obtained. The ratio of the area to the current area threshold is the current characterization value, and the current characterization value is marked as DL.

[0073] A13: The real-time vibration frequency of the injection molding machine within the target cycle is obtained, and a vibration fluctuation curve is drawn based on a two-dimensional coordinate system with time as the X-axis and real-time voltage as the Y-axis. According to the vibration frequency fluctuation curve, the area enclosed by the vibration frequency fluctuation curve within the target cycle and the average vibration frequency within the target cycle is obtained. The ratio of the area to the vibration frequency area threshold is the vibration characterization value, and the vibration characterization value is marked as ZD.

[0074] A2: Based on the detection data of the injection molding machine, the monitoring parameters are calculated and multiple monitoring data are processed comprehensively to obtain a comprehensive monitoring parameter for subsequent analysis;

[0075] The voltage characterization value DY, the current characterization value DL, and the vibration characterization value ZD are processed by the formula: The monitoring parameter JC is calculated, where a1, a2, and a3 are preset proportional factors, and all are greater than 0. By using the preset proportional factors, different monitoring data can be standardized so that different parameters are comparable.

[0076] A3: Comparative analysis of monitoring parameters can be conducted to determine whether the injection machine has fluctuations. Fluctuations of the injection machine can be discovered and handled in a timely manner, which helps to ensure the stability of the injection process and thus improve product quality.

[0077] The preset monitoring parameter threshold is JY, and the monitoring parameter JC is compared and analyzed with the monitoring parameter threshold JY. By comparing and analyzing the monitoring parameter with the preset threshold, the fluctuation of the injection machine can be discovered in time;

[0078] If the monitoring parameter JC is less than the monitoring parameter threshold JY, it is determined that the injection molding machine has no drastic or continuous fluctuations within the target cycle;

[0079] If the monitoring parameter JC ≥ the monitoring parameter threshold JY, it is determined that the injection molding machine has experienced drastic or continuous fluctuations within the target cycle;

[0080] B: Test the injection results to determine whether they are qualified. By testing the injection results, the quality of the product can be evaluated and potential quality problems can be found, such as excessive bubbles or uneven fluidity;

[0081] B1: Test the injection results, obtain the test data of the injection results, collect data such as bubble characterization values ​​and fluidity characterization values, and provide a basis for subsequent analysis. Through quantitative indicators, the quality of the injection results can be evaluated more objectively;

[0082] Among them, the detection data include: bubble characterization value, fluidity characterization value;

[0083] B11: A sound wave transmitting device is arranged on one side of the mold, and a sound wave receiving device is arranged on the other side of the mold. The sound wave transmitting device transmits a sound wave of fixed intensity to the plastic material injected into the mold, so that the sound wave passes through the mold and the plastic material in the mold, and the sound wave is received by the sound wave receiving device to obtain the residual intensity of the sound wave. The difference between the obtained residual intensity of the sound wave and the expected intensity of the sound wave is calculated and the absolute value is taken. The obtained absolute difference is the bubble characterization value, and the bubble characterization value is marked as QP;

[0084] B12: Perform fluidity test on plastic materials by using a fluidity performance tester to evaluate the fluidity uniformity of the injection result, and record the evaluation result as a fluidity characterization value. The larger the fluidity characterization value, the better the fluidity uniformity of the injection result, and the fluidity characterization value is marked as LD;

[0085] Among them, flow performance testing instruments include: melt flow rate tester, spiral flow meter;

[0086] B2: According to the test data of the injection results, the test parameters of the injection results are calculated, and the bubble characterization value and the fluidity characterization value are comprehensively processed to obtain a comprehensive test parameter, which is convenient for subsequent analysis. Through the test parameters, the quality of injection results under different batches or different conditions can be easily compared;

[0087] The bubble characterization value QP and the fluidity characterization value LD are subjected to data processing, and a ratio of the bubble characterization value QP to the fluidity characterization value LD is calculated. The ratio of the obtained ratio to the ratio threshold is the detection parameter, and the detection parameter is marked as M;

[0088] B3: Compare and analyze the obtained test parameters to determine whether the injection results are qualified. For unqualified injection results, the causes can be further traced and corresponding measures can be taken to improve them;

[0089] The detection parameter threshold is preset as MY, and the detection parameter M is compared and analyzed with the detection parameter threshold MY. By comparing and analyzing the detection parameter with the preset threshold, it can be determined whether the injection result is qualified, thereby ensuring the product quality;

[0090] If the detection parameter M is less than the detection parameter threshold MY, the injection result is determined to be qualified, and the smaller the detection parameter M is, the better the quality of the injection result is;

[0091] If the detection parameter M ≥ the detection parameter threshold MY, the injection result is judged to be unqualified;

[0092] C: Analyze whether the fluctuation of the injection machine affects the quality of the injection result. According to the analysis results, the operating parameters or maintenance measures of the injection machine can be optimized to improve product quality and production efficiency.

[0093] C1: According to the historical records, the monitoring data JC of the injection machine and the detection parameters M of the injection results in each injection process in the historical records are obtained respectively, and the monitoring data JC and the detection parameters M in each injection process are packaged into a set of point data (M, JC);

[0094] C2: Based on all the point data, an impact analysis point diagram is constructed in a two-dimensional coordinate system with the detection parameter as the X-axis and the monitoring parameter as the Y-axis. By constructing the impact analysis point diagram, the relationship between the injection machine fluctuation and the injection result quality can be intuitively understood;

[0095] C3: According to all the points in the impact analysis point map, a fitting straight line is obtained by the least square method, and the equation of the fitting straight line is: Y = k × X + b, where k represents the slope of the fitting straight line, b represents the intercept of the fitting straight line, and k and b are constants;

[0096] C4: Analyze the slope of the fitted straight line to determine whether the injection machine fluctuation affects the quality of the injection result;

[0097] The slope threshold is preset as KY, and the absolute value of the slope |k| is compared and analyzed with the slope threshold KY;

[0098] If the absolute value of the slope |k| is less than the slope threshold KY, it is determined that the injection machine fluctuation will not affect the quality of the injection result;

[0099] If the absolute value of the slope |k| ≥ the slope threshold KY, it is determined that the injection machine fluctuation will affect the quality of the injection result;

[0100] Step 4: Cooling and solidification: The plastic material in the mold is cooled to solidify and form;

[0101] It should be noted that cooling time and temperature depend on factors such as the type and thickness of the material. The specific design of the mold will also affect the cooling time and quality.

[0102] Step 5: Demolding: After the plastic product cools and solidifies, open the mold and take out the molded part;

[0103] It should be noted that there is usually some release agent on the mold to help the molded part easily release from the mold.

[0104] Embodiment 2:

[0105] Based on Example 1, please refer to Figure 5 As shown, a plastic injection molding process control system according to an embodiment of the present invention includes:

[0106] The fluctuation analysis module is used to monitor the injection machine in real time during the injection process to determine whether the injection machine has fluctuations;

[0107] The qualified judgment module is used to detect the injection result and determine whether the injection result is qualified;

[0108] The impact analysis module is used to analyze whether fluctuations in the injection molding machine will affect the quality of the injection results.

[0109] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data.

[0110] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of monitoring data and sets corresponding monitoring parameters for each group of monitoring data; substitutes the set monitoring parameters and the collected monitoring data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated factors are screened and averaged to obtain the values ​​of a1, a2, and a3, which are 2.37, 1.65, and 2.43, respectively;

[0111] The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the amount of monitoring data and the initial setting of corresponding monitoring parameters for each set of monitoring data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the monitoring parameter is proportional to the value of the voltage characterization value.

[0112] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A plastic injection molding process control method, characterized in that: The following steps are involved: Mold preparation, plastic material preparation, injection, cooling and curing, demoulding; And the injection process is detected and controlled: A: Monitor the injection machine in real time during the injection process to determine whether the injection machine has fluctuations; The method to determine whether the injection molding machine has fluctuations is: A1: Monitor the injection machine in real time and obtain monitoring data within the target cycle of the injection machine; Among them, the monitoring data include: voltage characterization value, current characterization value, vibration characterization value; The method for obtaining monitoring data is: A11: Obtain the real-time voltage of the injection machine within the target cycle, and draw a voltage fluctuation curve based on a two-dimensional coordinate system with time as the X-axis and the real-time voltage as the Y-axis. According to the voltage fluctuation curve, obtain the area of ​​the region enclosed by the voltage fluctuation curve within the target cycle and the average voltage within the target cycle. The ratio of the area to the voltage area threshold is the voltage characterization value, and the voltage characterization value is marked as DY. A12: The real-time current of the injection machine in the target cycle is obtained, and a current fluctuation curve is drawn based on a two-dimensional coordinate system with time as the X-axis and the real-time current as the Y-axis. According to the current fluctuation curve, the area of ​​the region enclosed by the current fluctuation curve in the target cycle and the average current in the target cycle is obtained. The ratio of the area to the current area threshold is the current characterization value, and the current characterization value is marked as DL. A13: The real-time vibration frequency of the injection molding machine within the target cycle is obtained, and a vibration fluctuation curve is drawn based on a two-dimensional coordinate system with time as the X-axis and the real-time vibration frequency as the Y-axis. According to the vibration frequency fluctuation curve, the area enclosed by the vibration frequency fluctuation curve within the target cycle and the average vibration frequency within the target cycle is obtained. The ratio of the area to the vibration frequency area threshold is the vibration characterization value, and the vibration characterization value is marked as ZD. A2: Calculate and obtain monitoring parameters based on the test data of the injection molding machine; A3: Compare and analyze the monitoring parameters to determine whether the injection molding machine has fluctuations; B: Test the injection results to determine whether they are qualified; C: Analyze whether the fluctuation of the injection machine affects the quality of the injection results; C1: According to the historical records, the monitoring data JC of the injection machine and the detection parameters M of the injection results in each injection process in the historical records are obtained respectively, and the monitoring data JC and the detection parameters M in each injection process are packaged into a set of point data (M, JC); C2: Based on all the point data, an impact analysis point map is constructed in a two-dimensional coordinate system with the detection parameter as the X-axis and the monitoring parameter as the Y-axis; C3: According to all the points in the impact analysis point map, a fitting straight line is obtained by the least square method, and the equation of the fitting straight line is: Y = k × X + b, where k represents the slope of the fitting straight line, b represents the intercept of the fitting straight line, and k and b are constants; C4: Analyze the slope of the fitted straight line to determine whether the injection machine fluctuations affect the quality of the injection results; The slope threshold is preset as KY, and the absolute value of the slope |k| is compared and analyzed with the slope threshold KY; If the absolute value of the slope |k| is less than the slope threshold KY, it is determined that the injection machine fluctuation will not affect the quality of the injection result; If the absolute value of the slope |k| ≥ the slope threshold KY, it is determined that the injection machine fluctuation will affect the quality of the injection result.

2. A plastic injection molding process control method according to claim 1, characterized in that: The voltage characterization value DY, the current characterization value DL, and the vibration characterization value ZD are processed by the formula: The monitoring parameter JC is calculated, where a1, a2, and a3 are preset proportional factors and are all greater than 0.

3. A plastic injection molding process control method according to claim 2, characterized in that: The monitoring parameter threshold is preset as JY, and the monitoring parameter JC is compared and analyzed with the monitoring parameter threshold JY; If the monitoring parameter JC is less than the monitoring parameter threshold JY, it is determined that the injection molding machine has no drastic or continuous fluctuations within the target cycle; If the monitoring parameter JC ≥ the monitoring parameter threshold JY, it is determined that the injection molding machine has experienced drastic or continuous fluctuations within the target cycle.

4. A plastic injection molding process control method according to claim 1, characterized in that: The method for determining whether the injection result is qualified is: B1: Test the injection result and obtain the test data of the injection result; Among them, the detection data include: bubble characterization value, fluidity characterization value; B2: Calculate and obtain the detection parameters of the injection results according to the detection data of the injection results; B3: Compare and analyze the obtained test parameters to determine whether the injection result is qualified.

5. A plastic injection molding process control method according to claim 4, characterized in that: The method for acquiring the detection data is: B11: A sound wave transmitting device is arranged on one side of the mold, and a sound wave receiving device is arranged on the other side of the mold. The sound wave transmitting device transmits a sound wave of fixed intensity to the plastic material injected into the mold, so that the sound wave passes through the mold and the plastic material in the mold, and the sound wave is received by the sound wave receiving device to obtain the residual intensity of the sound wave. The difference between the obtained residual intensity of the sound wave and the expected intensity of the sound wave is calculated and the absolute value is taken. The obtained absolute difference is the bubble characterization value, and the bubble characterization value is marked as QP; B12: Perform fluidity test on plastic materials by using a fluidity testing instrument to evaluate the fluidity uniformity of the injection result, and record the evaluation result as a fluidity characterization value. The larger the fluidity characterization value, the better the fluidity uniformity of the injection result, and the fluidity characterization value is marked as LD.

6. A plastic injection molding process control method according to claim 5, characterized in that: The bubble characterization value QP and the fluidity characterization value LD are processed, and the ratio of the bubble characterization value QP to the fluidity characterization value LD is calculated. The ratio of the obtained ratio to the ratio threshold is the detection parameter, and the detection parameter is marked as M.

7. A plastic injection molding process control method according to claim 6, characterized in that: The detection parameter threshold is preset as MY, and the detection parameter M is compared and analyzed with the detection parameter threshold MY; If the detection parameter M is less than the detection parameter threshold MY, the injection result is determined to be qualified; If the detection parameter M≥the detection parameter threshold MY, the injection result is determined to be unqualified.

8. A plastic injection molding process control system, the system implementing the method according to any one of claims 1 to 7, characterized in that: include: A fluctuation analysis module, which is used to monitor the injection machine in real time during the injection process and determine whether the injection machine has fluctuations; A qualified determination module, which is used to detect the injection result and determine whether the injection result is qualified; The impact analysis module is used to analyze whether fluctuations in the injection machine have an impact on the quality of the injection result.

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