Injection molding operation stability test data processing method and system for automobile parts

Abstract

The invention discloses an injection molding operation stability test data processing method and system for automobile parts, and relates to the technical field of electric digital data processing. The injection molding operation stability test data processing method for the automobile parts comprises the following steps: acquiring a first stability coefficient; obtaining a second stability coefficient; and obtaining a stability test result. The injection molding equipment data are collected through the first data collection equipment, the first stability coefficient is obtained based on the injection molding equipment data, then the automobile part quality data are obtained through the second data collection equipment, and the second stability coefficient is obtained based on the automobile part quality data; and finally, obtaining a test result according to the first stability coefficient and the second stability coefficient, and feeding back the result, so that the effect of more accurately evaluating the stability of the injection molding operation of the automobile part is achieved, and the problem of insufficient association between the injection molding operation stability judgment result of the automobile part and the stability test data in the prior art is solved.

Description

Technical Field

[0001] The invention relates to the technical field of electronic digital data processing, and in particular to a data processing method and system for testing the stability of injection molding operation of automobile parts. Background Art

[0002] With the widespread application of Industry 4.0 and Internet of Things technologies, the automotive manufacturing industry is undergoing unprecedented changes. Smart manufacturing achieves a high degree of automation, digitization and intelligence in the production process by integrating information technology, automation technology and artificial intelligence. The construction of smart factories makes production lines more flexible and efficient. Through sensors, robots and intelligent control systems, production equipment can achieve self-monitoring, self-adjustment and self-optimization, thereby greatly improving production efficiency and product quality; through big data analysis and machine learning algorithms, manufacturing companies can monitor the operating status of equipment in real time, predict potential failures, implement preventive maintenance, and reduce downtime and maintenance costs.

[0003] The existing data processing methods and systems for stability testing collect data on key parameters of the injection molding process in real time through various sensors installed on the injection molding machine. At the same time, data acquisition systems and real-time monitoring systems are used to collect and monitor all parameters of the injection molding process in real time. These systems can quickly respond to abnormal situations and make adjustments in a timely manner, realize real-time monitoring and adjustment of key parameters in the injection molding process, ensure production consistency, reduce defective rates, and improve product quality.

[0004] For example, the machine stability testing method, machine stability testing device and electronic device disclosed in the patent application with publication number: CN117033157A include: controlling BIOS to enter monitoring mode and sending test instructions to BMC through test scripts, the monitoring mode is a mode in which BIOS monitors the status of the machine, and the test instructions are used to control the mainboard to perform test operations through BMC; when BIOS detects that the machine is abnormal, controlling BIOS to enter checking mode to obtain a first abnormal log and sending the first abnormal log to BMC, the first abnormal log is a log that records abnormal feedback from machine components when the machine is abnormal; when BMC receives the first abnormal log, obtaining a second abnormal log, the second abnormal log is an operation log of the machine component corresponding to the first abnormal log; controlling BMC to execute a forced restart test instruction, which solves the problem of time waste caused by stability test interruption in related technologies.

[0005] For example, the invention patent with announcement number: CN117252109B announces an aircraft engine stability analysis method and system based on data processing, including: predicting the motion attitude change parameters of the aircraft; obtaining the environmental monitoring parameters of the aircraft; when the airflow characteristic vector exceeds the rotational stall margin and / or the surge margin, mapping the compressor state according to the airflow characteristic vector and the aircraft engine control parameters to obtain the compressor blade state; based on the compressor blade state, evaluating the aerodynamic stability of the aircraft engine to obtain the engine aerodynamic stability coefficient; when the engine aerodynamic stability coefficient is less than or equal to the stability coefficient threshold, adjusting the corrected airflow vector according to the compressor blade state to generate a corrected airflow recommendation vector.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, since the development of the data processing method and system for the injection molding operation stability test of automobile parts is not comprehensive and mature, there is a problem that the judgment results of the injection molding operation stability of automobile parts are not sufficiently associated with the stability test data. Summary of the invention

[0007] The embodiments of the present application solve the problem of inaccurate stability test judgment when monitoring the injection molding operation of automobile parts in the prior art by providing a data processing method and system for injection molding operation stability testing of automobile parts, thereby achieving a more accurate evaluation of the stability of the injection molding operation of automobile parts.

[0008] An embodiment of the present application provides a method for processing injection molding operation stability test data for automobile parts, comprising the following steps: collecting injection molding equipment data through a first data acquisition device, and obtaining a first stability coefficient based on the injection molding equipment data, wherein the injection molding equipment data is used to describe the injection molding process of the automobile parts, and the first stability coefficient is used to evaluate the stability of the injection molding equipment during the injection molding process; obtaining automobile part quality data through a second data acquisition device, and obtaining a second stability coefficient based on the automobile part quality data, wherein the automobile part quality data is used to describe the injection molding results of the automobile parts, and the second stability coefficient is used to reflect the stability of the injection molding equipment from the aspect of automobile part quality; and obtaining test results based on the first stability coefficient and the second stability coefficient and providing result feedback.

[0009] Furthermore, the specific collection process of the injection molding equipment data is as follows: at a preset time, the temperatures of the hopper and the mold are measured by a temperature sensor to obtain the hopper temperature and the mold temperature respectively, and the preset time represents the set data acquisition time in the injection molding process of automobile parts; at the preset time, the screw speed and the injection speed are obtained by a displacement sensor and a flow sensor respectively; the injection molding equipment data includes mold temperature, hopper temperature, screw speed and injection speed.

[0010] Furthermore, the specific process of obtaining the first stability coefficient is as follows: a temperature stability coefficient is obtained according to the collected mold temperature and hopper temperature, and the temperature stability coefficient is used to reflect the influence of the temperature of the injection molding equipment on the stability of the injection molding operation; a speed stability coefficient is obtained according to the collected screw speed and injection speed, and the speed stability coefficient is used to reflect the influence of the speed of the injection molding equipment on the stability of the injection molding operation; it is determined whether the temperature stability coefficient and the speed stability coefficient are both not 0, if the temperature stability coefficient and the speed stability coefficient are both not 0, then the first stability coefficient is obtained based on the temperature stability coefficient and the speed stability coefficient, otherwise the corresponding first stability coefficient is 0, and the first stability coefficient is calculated using the following formula: ; In the formula, t represents the preset time, , T represents the total number of preset moments, represents the temperature stability coefficient at the t-th preset moment, represents the speed stability coefficient at the t-th preset moment, represents the first stability coefficient at the t-th preset moment, and e represents a natural constant.

[0011] Furthermore, the specific method of obtaining the temperature stability coefficient is as follows: obtaining temperature reference data from a preset database, the temperature reference data including mold forming temperature, mold temperature threshold, hopper preheating temperature and hopper temperature threshold, and combining the collected mold temperature and hopper temperature to obtain the temperature stability coefficient, the temperature stability coefficient is calculated using the following formula: ; In the formula, represents the mold temperature at the tth preset moment, Indicates the mold forming temperature, Indicates the die temperature threshold, represents the hopper temperature at the tth preset time, Indicates the hopper preheating temperature, Indicates the hopper temperature threshold, represents the temperature stability coefficient at the tth preset moment, and e represents a natural constant.

[0012] Furthermore, the specific method for obtaining the speed stability coefficient is as follows: obtain equipment reference data from a preset database, the equipment reference data including reference screw speed, screw speed deviation, screw speed per unit time, reference injection speed, injection speed per unit time and injection speed deviation; obtain the speed stability coefficient according to the equipment reference data, screw speed and injection speed, and the speed stability coefficient is calculated using the following formula: ; In the formula, represents the screw speed at the t-th preset moment, Indicates the reference screw speed, Indicates the screw speed per unit time, represents the injection speed at the tth preset time, Indicates the reference injection speed, Indicates the injection speed per unit time, Indicates the screw speed deviation, Indicates the injection speed deviation, Represents the speed stability coefficient at the t-th preset moment.

[0013] Furthermore, the specific process of collecting the automobile parts quality data is as follows: at a preset time, the automobile parts weight and automobile parts size are obtained by a pressure sensor and a three-dimensional coordinate measuring machine respectively, and the automobile parts size deviation coefficient is obtained according to the automobile parts size; at a preset time, the surface profile data is obtained by a surface roughness meter, and the surface roughness parameters are obtained according to the surface profile data, and the surface profile data is used to describe the surface roughness of the automobile parts produced after the automobile parts are injected; the automobile parts quality data includes the automobile parts size deviation coefficient, the automobile parts weight and the automobile parts surface roughness parameters.

[0014] Furthermore, the specific process of obtaining the second stability coefficient is as follows: obtaining quality reference data from a preset database, the quality reference data including standard automobile part weight, automobile part weight deviation, automobile part size deviation coefficient threshold and surface roughness parameter threshold; obtaining the second stability coefficient based on the automobile part quality data and the quality reference data, and the second stability coefficient is calculated using the following formula: ; In the formula, t represents the preset time, , T represents the total number of preset moments, represents the weight of the automobile part injected at the t-th preset moment, Indicates the dimensional deviation coefficient of the automobile part injected at the tth preset moment, represents the surface roughness parameter of the automobile part injected at the t-th preset moment, is the standard automobile parts weight, Indicates the weight deviation of automobile parts. Indicates the threshold value of the automotive parts size deviation coefficient, represents the surface roughness parameter threshold, It represents the second stability coefficient of the injection molding operation of the automobile part at the t-th preset moment, and e is a natural constant.

[0015] Furthermore, the process of obtaining the test results is as follows: obtaining a first stability assessment interval and a second stability assessment interval from a preset database, and comparing the first stability coefficient with the first stability assessment interval, and comparing the second stability coefficient with the second stability assessment interval to obtain a test result, wherein the first stability assessment interval is used to determine the stability of the equipment working state, and the second stability assessment interval is used to determine the stability of the production quality of automobile parts. The test results include a first test result, a second test result, a third test result and a fourth test result; the first test result indicates that the first stability coefficient belongs to the first stability assessment interval and the second stability coefficient belongs to the second stability assessment interval; the second test result indicates that the first stability coefficient belongs to the first stability assessment interval and the second stability coefficient does not belong to the second stability assessment interval; the third test result indicates that the first stability coefficient does not belong to the first stability assessment interval and the second stability coefficient belongs to the second stability assessment interval; the fourth test result indicates that the first stability coefficient does not belong to the first stability assessment interval and the second stability coefficient does not belong to the second stability assessment interval.

[0016] Furthermore, specific content of the result feedback is as follows: if the test result is the first test result, then the two-level stability is fed back to the preset personnel, and the two-level stability indicates that the working state of the injection molding equipment is stable during the injection molding operation of the automobile parts and the quality of the injected automobile parts is also stable; if the test result is the second test result, then the equipment stability is fed back to the preset personnel, and the equipment stability indicates that the working state of the injection molding equipment is stable during the injection molding operation of the automobile parts but the quality of the injected automobile parts is unstable; if the test result is the third test result, then the parts stability is fed back to the preset personnel, and the parts stability indicates that the working state of the injection molding equipment is unstable during the injection molding operation of the automobile parts but the quality of the injected automobile parts is stable; if the test result is the fourth test result, then the instability is fed back to the preset personnel, and the instability indicates that the working state of the injection molding equipment is unstable during the injection molding operation of the automobile parts and the quality of the injected automobile parts is also unstable.

[0017] The embodiment of the present application provides a data processing system for testing the stability of injection molding operations of automobile parts, including: an equipment stability testing module, a part stability testing module and a comprehensive stability evaluation module: the equipment stability testing module is used to collect injection molding equipment data through a first data acquisition device, and obtain a first stability coefficient based on the injection molding equipment data, which is used to describe the injection molding process of automobile parts, and the first stability coefficient is used to evaluate the stability of the injection molding equipment during the injection molding process; the part stability testing module is used to obtain automobile part quality data through a second data acquisition device, and obtain a second stability coefficient based on the automobile part quality data, the second data acquisition device includes a three-coordinate measuring machine, a surface roughness meter and a pressure sensor, the automobile part quality data is used to describe the injection molding results of automobile parts, and the second stability coefficient is used to reflect the stability of the injection molding equipment from the aspect of automobile part quality; the comprehensive stability evaluation module is used to obtain a test result based on the first stability coefficient and the second stability coefficient and provide result feedback, and the test result represents the stability test result of the injection molding operation of automobile parts.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. A first stability coefficient is obtained by using the injection molding equipment data collected by a first data acquisition device, and then a second stability coefficient is obtained by using the automobile parts quality data obtained by a second data acquisition device. Finally, a test result is obtained based on the first stability coefficient and the second stability coefficient and the result feedback is performed, thereby completing the stability test of the injection molding operation of automobile parts, thereby achieving a more accurate evaluation of the stability of the injection molding operation of automobile parts, and effectively solving the problem of insufficient correlation between the stability judgment result of the injection molding operation of automobile parts and the stability test data in the prior art.

[0019] 2. The temperature stability coefficient is obtained by collecting the mold temperature and hopper temperature, and the speed stability coefficient is obtained according to the collected screw speed and injection speed. At the same time, the first stability coefficient is obtained according to the temperature stability coefficient and the speed stability coefficient, thereby realizing a numerical description of the stability of the injection molding equipment, and then realizing a more accurate evaluation of the stability of the injection molding equipment of automotive parts.

[0020] 3. By obtaining quality reference data from a preset database and obtaining a second stability coefficient based on the automobile parts quality data and the quality reference data, the stability of the quality of the injection molded automobile parts is obtained, thereby achieving a more accurate assessment of the stability of the injection molding equipment for automobile parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of a data processing method for injection molding operation stability test of automobile parts provided in an embodiment of the present application; Figure 2 This is a first stability coefficient variation diagram provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiment of the present application solves the problem of insufficient correlation between the injection molding operation stability judgment result and the stability test data of automobile parts in the prior art by providing a method and system for processing injection molding operation stability test data for automobile parts. The injection molding equipment data is collected by a first data collection device, and a temperature stability coefficient is obtained according to the collected mold temperature and hopper temperature. Then, a speed stability coefficient is obtained according to the collected screw speed and injection speed. Then, it is judged whether the temperature stability coefficient and the speed stability coefficient are both not 0. If the temperature stability coefficient and the speed stability coefficient are both not 0, a first stability coefficient is obtained based on the temperature stability coefficient and the speed stability coefficient. Otherwise, the corresponding first stability coefficient is 0. At the same time, quality reference data is obtained from a preset database, and a second stability coefficient is obtained based on the automobile part quality data and the quality reference data. Finally, a first stability evaluation interval and a second stability evaluation interval are obtained from the preset database, and the first stability coefficient is compared with the first stability evaluation interval, and the second stability coefficient is compared with the second stability evaluation interval. The test results are obtained and the result feedback is performed, so as to achieve a more accurate evaluation of the stability of the injection molding operation of automobile parts.

[0023] The technical solution in the embodiment of the present application is to solve the problem that the stability judgment result of the injection molding operation of automobile parts in the above-mentioned prior art is not sufficiently associated with the stability test data. The overall idea is as follows: The corresponding first stability coefficient and second stability coefficient are obtained by collecting the injection molding equipment data and the automobile parts quality data, and the test results are obtained and the results are fed back, so as to more accurately evaluate the stability of the injection molding operation of the automobile parts.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] like Figure 1As shown, it is a flow chart of a method for processing data of injection molding operation stability test for automobile parts provided in an embodiment of the present application, the method comprising the following steps: collecting injection molding equipment data through a first data acquisition device, and obtaining a first stability coefficient based on the injection molding equipment data, the first data acquisition device comprising a temperature sensor, a displacement sensor, and a flow sensor, the injection molding equipment data is used to describe the injection molding process of automobile parts, and the first stability coefficient is used to evaluate the stability of the injection molding equipment during the injection molding process; obtaining automobile part quality data through a second data acquisition device, and obtaining a second stability coefficient based on the automobile part quality data, the second data acquisition device comprising a three-coordinate measuring machine, a surface roughness meter, and a pressure sensor, the automobile part quality data is used to describe the injection molding results of automobile parts, and the second stability coefficient is used to reflect the stability of the injection molding equipment from the aspect of automobile part quality; obtaining a test result based on the first stability coefficient and the second stability coefficient and providing result feedback, the test result indicating a stability test result of the injection molding operation of automobile parts.

[0026] In this embodiment, the temperature sensor is used to monitor the temperature change of the injection molding equipment during operation, mainly detecting the temperature of the hopper and the mold, the displacement sensor is mainly used to monitor the position change of the injection screw of the injection molding equipment, and the flow sensor is used to monitor the flow of the plastic melt during the process of adding raw materials to the injection molding equipment; the three-coordinate measuring machine is used to measure the size and geometric shape of the automobile parts with high precision, the surface roughness meter is used to measure the roughness of the surface of the automobile parts to reflect the surface quality of the parts, and the pressure sensor is used to detect the weight of the produced automobile parts; by comprehensively analyzing the first stability coefficient (reflecting the stability of the injection molding equipment process) and the second stability coefficient (reflecting the stability of the quality of the automobile parts), the overall stability test result is obtained. According to the test result, the injection molding equipment can be adjusted and optimized to improve the stability of the production process and the quality consistency of the parts; by using two types of data acquisition equipment, the injection molding process and the part quality are monitored respectively, and the operation stability of the injection molding equipment is more comprehensively evaluated from two dimensions (equipment status and product quality), which can not only timely discover the abnormality of the equipment during operation, but also verify the stability of the injection molding operation through the quality feedback of the final automobile parts, thereby achieving a more accurate evaluation of the stability of the injection molding operation of the automobile parts.

[0027] Furthermore, the specific collection process of injection molding equipment data is as follows: at a preset time, the temperature of the hopper and the mold are measured by a temperature sensor to obtain the hopper temperature and the mold temperature respectively, and the preset time indicates the set data acquisition time in the injection molding process of automobile parts; at the preset time, the screw speed and the injection speed are obtained by a displacement sensor and a flow sensor respectively, the screw speed is used to describe the rotation of the screw in the process of pushing the preheated injection molding raw material to the mold, and the injection molding speed indicates the speed of adding the injection molding raw material to the hopper; the injection molding equipment data includes mold temperature, hopper temperature, screw speed and injection speed.

[0028] In this embodiment, the preset time refers to data collection at a preset time point during the injection molding process of automobile parts. The preset time is usually a key stage in the entire injection molding cycle to ensure that comprehensive data is obtained to evaluate the stability and quality of the injection molding process; the hopper is a place for storing and preheating injection molding materials, and its temperature affects the melting and fluidity of the material, and the mold temperature directly affects the surface quality and shrinkage characteristics of the molded parts; the screw speed describes the rotation speed of the screw in the process of pushing the preheated injection molding materials into the mold, and this speed directly affects the uniformity and molding quality of the plastic, and the injection speed indicates the speed at which the injection molding materials are added to the hopper. This speed controls the rate at which the plastic enters the mold and directly affects the filling and surface quality of the molded parts. After data acquisition, basic data for evaluating and optimizing the performance of injection molding equipment is provided, which helps to ensure the stability of injection molding operations in the production process to improve product quality and production efficiency.

[0029] Furthermore, the specific process of obtaining the first stability coefficient is as follows: the temperature stability coefficient is obtained according to the collected mold temperature and hopper temperature, and the temperature stability coefficient is used to reflect the influence of the temperature of the injection molding equipment on the stability of the injection molding operation; the speed stability coefficient is obtained according to the collected screw speed and injection speed, and the speed stability coefficient is used to reflect the influence of the speed of the injection molding equipment on the stability of the injection molding operation; it is judged whether the temperature stability coefficient and the speed stability coefficient are both not 0. If the temperature stability coefficient and the speed stability coefficient are both not 0, the first stability coefficient is obtained based on the temperature stability coefficient and the speed stability coefficient, otherwise the corresponding first stability coefficient is 0, and the first stability coefficient is calculated using the following formula: ; In the formula, t represents the preset time, , T represents the total number of preset moments, represents the temperature stability coefficient at the t-th preset moment, represents the speed stability coefficient at the t-th preset moment, represents the first stability coefficient at the t-th preset moment, and e represents a natural constant.

[0030] In this embodiment, the algorithm of this embodiment mainly combines the temperature stability coefficient and the speed stability coefficient for comprehensive analysis to obtain the first stability coefficient, and each variable is independent but jointly affects the dependent variable. When one of the temperature stability coefficient or the speed stability coefficient is 0, it indicates that at least one of the temperature and speed of the injection molding equipment is abnormal, breaking the stable state, and the first stability coefficient is 0. When both the temperature stability coefficient and the speed stability coefficient are not 0, as shown in the formula, as the temperature stability coefficient increases, the first stability coefficient also increases, and as the speed stability coefficient increases, the first stability coefficient also increases, that is, the larger the values ​​of the speed stability coefficient and the temperature stability coefficient, the larger the value of the first stability coefficient, which means that when performing the injection molding operation of automobile parts, the more stable the working state of the injection molding equipment is. In practical applications, through the segmented discussion of the first stability coefficient, at the beginning of the test equipment stability, it can be determined whether the injection molding equipment has temperature abnormalities or speed abnormalities, and the equipment can be repaired in time during production to reduce further losses.

[0031] Specifically, Figure 2 As shown, it is a first stability coefficient change graph in which the temperature stability coefficient and the speed stability coefficient provided in the embodiment of the present application are both not 0. It can be seen from the graph that as the values ​​of the temperature stability coefficient and the speed stability coefficient gradually increase, the image shows an upward trend, indicating that the first stability coefficient increases with the increase of the temperature stability coefficient and the speed stability coefficient, and the surface of the graph is a smooth curved surface, indicating that the first stability coefficient shows a continuous change characteristic under different combinations of the two variables; when the temperature stability coefficient and the speed stability coefficient are both high, the first stability coefficient is close to the maximum value, and when both are low, the first stability coefficient is close to the minimum value. The image shows that improving the temperature stability coefficient and the speed stability coefficient are both helpful to improve the first stability coefficient, thereby improving the stability of the equipment operation.

[0032] Furthermore, the specific method of obtaining the temperature stability coefficient is as follows: obtain temperature reference data from a preset database, the temperature reference data includes mold forming temperature, mold temperature threshold, hopper preheating temperature and hopper temperature threshold, and combine the collected mold temperature and hopper temperature to obtain the temperature stability coefficient. The mold forming temperature indicates the temperature at which the injection molding material can be injection molded, the mold temperature threshold is the maximum mold temperature acceptable for the injection molding operation, the hopper preheating temperature indicates the temperature at which the injection molding material can reach when entering the injection molding equipment, and the hopper temperature threshold is the maximum hopper temperature acceptable for the injection molding operation. The temperature stability coefficient is calculated using the following formula: ; In the formula, represents the mold temperature at the tth preset moment, Indicates the mold forming temperature, Indicates the die temperature threshold, represents the hopper temperature at the tth preset time, Indicates the hopper preheating temperature, Indicates the hopper temperature threshold, represents the temperature stability coefficient at the tth preset moment, and e represents a natural constant.

[0033] In this embodiment, the algorithm of this embodiment mainly combines the mold temperature, the hopper temperature and the temperature reference data for comprehensive analysis to obtain the temperature stability coefficient, and each variable is independent but jointly affects the dependent variable. For example, when the mold temperature is not less than the mold temperature threshold, the temperature stability coefficient is directly 0. Similarly, when the hopper temperature is not less than the hopper temperature threshold, the temperature stability coefficient is also directly 0. When the mold temperature is less than the mold temperature threshold and the hopper temperature is less than the hopper temperature threshold, according to the formula analysis, as the absolute value of the difference between the mold temperature and the mold molding temperature increases, the temperature stability coefficient becomes smaller. Similarly, as the absolute value of the difference between the hopper temperature and the hopper preheating temperature increases, the value of the temperature stability coefficient gradually decreases, indicating that when the temperature is closer to the temperature threshold, the negative impact on the temperature stability coefficient is greater. When the mold temperature is closer to the mold molding temperature and the hopper temperature is closer to the hopper preheating temperature, the temperature stability coefficient is greater. The two temperature data do not affect each other, but can work together on the temperature stability coefficient. Therefore, the control of temperature directly affects the product quality of injection molded parts. The temperature stability coefficient helps to monitor and analyze the temperature of the injection molding equipment in real time to ensure the quality of automotive parts.

[0034] Specifically, the mold forming temperature and the hopper preheating temperature are set according to the injection molding material used for injection molding automobile parts. For example, when the injection molding material used is polypropylene, the mold forming temperature can be set to 200 degrees Celsius and the hopper preheating temperature can be set to 220 degrees Celsius.

[0035] Specifically, the mold temperature threshold and the hopper temperature threshold are set according to the injection molding material used for injection molding automobile parts and the maximum temperature that the mold and the hopper can withstand. For example, when the injection molding material used is polyethylene, the mold temperature threshold can be set to 240 degrees Celsius and the hopper temperature threshold can be set to 260 degrees Celsius.

[0036] Furthermore, a specific method for obtaining the speed stability coefficient is as follows: obtain equipment reference data from a preset database, the equipment reference data including reference screw speed, screw speed deviation, screw speed per unit time, reference injection speed, injection speed per unit time and injection speed deviation, the reference screw speed is a standard screw speed for injection molding operation, the screw speed deviation is a deviation value allowed by the injection molding operation and enables the screw to maintain the injection molding operation, the screw speed per unit time indicates the speed at which the screw rotates per unit time, the reference injection molding speed is a standard injection molding speed for injection molding operation, the injection molding speed deviation is a deviation value allowed by the injection molding operation and enables the injection molding operation to maintain the injection molding operation, and the injection molding speed per unit time indicates the speed at which the raw material is added per unit time; obtain the speed stability coefficient based on the equipment reference data, screw speed and injection molding speed, and the speed stability coefficient is calculated using the following formula: ; In the formula, represents the screw speed at the t-th preset moment, Indicates the reference screw speed, Indicates the screw speed per unit time, represents the injection speed at the tth preset time, Indicates the reference injection speed, Indicates the injection speed per unit time, Indicates the screw speed deviation, Indicates the injection speed deviation, Represents the speed stability coefficient at the t-th preset moment.

[0037] In this embodiment, the algorithm of this embodiment mainly combines the equipment reference data, screw speed and injection speed for comprehensive analysis to obtain the speed stability coefficient, and each variable is independent but jointly affects the dependent variable. When the absolute value of the difference between the screw speed and the reference screw speed is not greater than the screw speed deviation and the absolute value of the difference between the injection speed and the reference injection speed is not greater than the injection speed deviation, the formula can be used for analysis. If the screw speed is closer to the reference screw speed and the injection speed is closer to the reference injection speed, the speed stability coefficient is greater. When the absolute value of the difference between the screw speed and the reference screw speed is greater than the screw speed deviation or the absolute value of the difference between the injection speed and the reference injection speed is also greater than the injection speed deviation, it is considered that the speed of the injection molding equipment is abnormal, the speed stability of the injection molding equipment is destroyed, and the speed stability coefficient is directly 0. Therefore, the control of the speed directly affects the working efficiency of the injection molding equipment. The speed stability coefficient helps to monitor and analyze the speed of the injection molding equipment in real time to ensure the working efficiency of the injection molding equipment.

[0038] Specifically, the reference screw speed is usually obtained through the equipment specification or the recommended settings provided by the manufacturer. For example, you can refer to the "Haitian Plastics Machinery Zhafir ZeresSeries ZE900 / 210" produced by Haitian International Holdings Co., Ltd. The usual screw speed range of this injection molding machine is 20 to 200 RPM (revolutions per minute), and the specific reference screw speed is adjusted according to the processed materials and process requirements; similarly, the reference injection speed can also be obtained through the equipment specification or the manufacturer's recommended settings, for example, refer to the "Haitian Mars Series MA1600" produced by Haitian International Holdings Co., Ltd. The reference injection speed of this injection molding machine is usually 100 to 200 mm / s (millimeter per second), and the specific reference injection speed is adjusted according to the processed materials and process requirements.

[0039] Specifically, the screw speed deviation is represented by the difference between the actual measured screw speed in the historical data and the reference screw speed, and the average value of the difference is taken; similarly, the injection speed deviation is represented by the difference between the actual measured injection speed in the historical data and the reference screw speed, and the average value of the difference is taken.

[0040] Specifically, the screw speed per unit time is represented by the average value of the screw speed measured per unit time. In a specific embodiment, assuming that within one minute, the screw speed data recorded is 98RPM, 102RPM, and 100RPM, then the screw speed per unit time is calculated as follows: ; That is, the screw speed per unit time is 100RPM, which can be adjusted and calibrated according to the real-time data of the screw speed per unit time to ensure that the expected production efficiency and quality standards are met.

[0041] Specifically, the injection speed per unit time is expressed according to the average value of the screw speed measured per unit time. In a specific embodiment, assuming that within one minute, the injection speed data recorded are 48mm / s, 52mm / s, and 50mm / s, then the injection speed per unit time is calculated as follows: ; That is, the injection speed per unit time is 50mm / s, and necessary calibration and adjustment can be made according to the real-time data of the injection speed per unit time to ensure the stability of the injection process and the quality of the product.

[0042] Furthermore, the specific process of collecting automobile parts quality data is as follows: at a preset time, the weight and size of automobile parts are obtained by pressure sensors and three-dimensional coordinate measuring machines respectively, and the automobile parts size deviation coefficient is obtained according to the automobile parts size, the automobile parts weight represents the weight of automobile parts produced after automobile parts injection molding operation, the automobile parts size represents the size of automobile parts produced after automobile parts injection molding operation, and the automobile parts size deviation coefficient is obtained by measuring the automobile parts size and setting the automobile parts standard size; at a preset time, surface profile data is obtained by a surface roughness meter, and surface roughness parameters are obtained according to the surface profile data, the surface profile data is used to describe the surface roughness of automobile parts produced after automobile parts injection molding, and the surface roughness parameters are obtained through the surface profile data; the automobile parts quality data includes automobile parts size deviation coefficient, automobile parts weight and automobile parts surface roughness parameters.

[0043] In this embodiment, high-precision measuring tools such as pressure sensors, three-coordinate measuring machines and surface roughness meters are used to ensure the accuracy of data collection, thereby improving the accuracy of subsequent data processing and analysis; wherein, the specific process of obtaining the automobile part size deviation coefficient is: at a specific stage of the production process, such as after each injection molding operation, a three-coordinate measuring machine (CMM) is used to measure the key dimensions of the automobile parts, and the automobile part size deviation coefficient is calculated based on the measured automobile part dimensions and the set standard dimensions, specifically the ratio of the difference between the automobile part dimensions and the set standard dimensions to the set standard dimensions; for example: assuming that the set standard dimension is 100 mm and the actual measured dimension is 100.5 mm, the automobile part size deviation coefficient is calculated as follows: ; Wherein, PS represents the dimensional deviation coefficient of automobile parts, AD represents the actual measured size, and BD represents the standard size.

[0044] Specifically, the specific process of obtaining the surface roughness parameters of automobile parts is as follows: at a specific stage of the production process, such as after each injection molding operation, the surface roughness of the parts is measured, the surface of the parts is scanned using a surface roughness meter and the surface profile data is recorded, and the surface roughness parameters are calculated based on the surface profile data. The specific calculation formula is as follows: dx; In the formula, represents the surface roughness parameter, L represents the sampling length, that is, the total length of the surface profile used to calculate the surface roughness. Usually, an appropriate length is selected according to the measurement standard. It represents the height deviation value of the surface profile at position x, which indicates the vertical deviation of the surface profile relative to the center line. The center line is the average height line within the sampling length L. dx represents the tiny line segment length, which represents a very small segment of the surface profile during the integration process.

[0045] Furthermore, the specific process of obtaining the second stability coefficient is as follows: obtaining quality reference data from a preset database, the quality reference data including standard automobile part weight, automobile part weight deviation, automobile part size deviation coefficient threshold and surface roughness parameter threshold, the standard automobile part weight is the weight benchmark of the injection molded automobile parts, the automobile part weight deviation is used to remove the weight of automobile parts that do not meet the weight benchmark requirements, the automobile part size deviation coefficient threshold represents the maximum size deviation degree accepted by the injection molded automobile parts, and the surface roughness parameter threshold represents the maximum surface roughness degree that can be accepted by the quality requirements of the injection molded automobile parts; obtaining the second stability coefficient based on the automobile part quality data and the quality reference data, and the second stability coefficient is calculated using the following formula: ; In the formula, t represents the preset time, , T represents the total number of preset moments, represents the weight of the automobile part injected at the t-th preset moment, Indicates the dimensional deviation coefficient of the automobile part injected at the tth preset moment, represents the surface roughness parameter of the automobile part injected at the t-th preset moment, is the standard automobile parts weight, Indicates the weight deviation of automobile parts. Indicates the threshold value of the automotive parts size deviation coefficient, represents the surface roughness parameter threshold, It represents the second stability coefficient of the injection molding operation of the automobile part at the t-th preset moment, and e is a natural constant.

[0046] In this embodiment, the algorithm of this embodiment mainly combines the automobile part size deviation coefficient, automobile part weight, automobile part surface roughness parameter and quality reference data for comprehensive analysis to obtain the second stability coefficient. According to the formula, it can be seen that the calculation of the second stability coefficient is divided into two cases. If the absolute value of the difference between the automobile part weight and the standard automobile part weight is not greater than the automobile part weight deviation and the automobile part size deviation coefficient is not greater than the automobile part size deviation coefficient threshold and the surface roughness parameter is not greater than the surface roughness parameter threshold, then it is the first case. In the formula, as the automobile part weight approaches the standard automobile part weight and the part size deviation coefficient and the surface roughness parameter decrease, the second stability coefficient increases; if the absolute value of the difference between the automobile part weight and the standard automobile part weight is greater than the automobile part weight deviation or the automobile part size deviation coefficient is greater than the automobile part size deviation coefficient threshold or the surface roughness parameter is greater than the surface roughness parameter threshold, then it is the second case. In this case, the automobile parts produced have at least one quality problem, so it is considered that the quality of the parts produced at this time is unstable, and the second stability coefficient is 0. Through the second stability coefficient, the quality stability of the injection molded automobile parts is effectively presented, so that the production strategy is adjusted in time.

[0047] Specifically, as shown in Table 1, the second stability coefficient variation table that meets the first situation is set to 150 grams for the standard automobile part weight, 5 grams for the automobile part weight deviation, 0.2 for the automobile part size deviation coefficient threshold, and 0.3 for the surface roughness parameter threshold. The second stability coefficient variation table can be obtained as shown in Table 1: Table 1 Second stability coefficient change table Auto parts weight Auto parts dimensional deviation coefficient Surface roughness parameters Second stability factor 148 0.059 0.215 2.087 150 0.136 0.187 2.075 145 0.200 0.251 2.040 146 0.001 0.021 2.157 155 0.003 0.001 2.164 154 0.000 0.300 2.075 150 0.000 0.000 2.166 ... ... ... ... It can be seen from Table 1 that the minimum value is 2.040 and the maximum value is 2.166, indicating that in a given sample, the second stability coefficient does not change much, but there are still slight changes; it is observed that heavier or lighter parts do not necessarily correspond to lower stability coefficients, and the change in weight has no obvious effect on the second stability coefficient, because within a wider weight range, the second stability coefficient does not show an obvious increase or decrease trend; the dimensional deviation coefficient is negatively correlated with the second stability coefficient, and a larger dimensional deviation coefficient usually corresponds to a lower second stability coefficient; the surface roughness parameter is also negatively correlated with the second stability coefficient, and a higher surface roughness parameter usually corresponds to a lower second stability coefficient; the analysis results in Table 1 are helpful to better control key parameters in the production process, thereby improving the stability and quality of the product.

[0048] Specifically, the standard weight of automobile parts is obtained by consulting the design documents of automobile parts, and the weight deviation of automobile parts is determined in the initial production stage by measuring the weight of a large number of production samples and conducting statistical analysis. According to the statistical results and quality requirements, the allowable weight deviation range is determined; assuming that the weight of a type of automobile is measured, the measured weight data is statistically analyzed, the average value is calculated, and then the standard deviation is calculated based on the average value to obtain: the average weight is 500g, and the standard deviation is 10g, where the standard deviation is the square root of the average deviation between the sample data and its average value. Then, according to the manufacturer's requirements and design specifications, it is assumed that the allowable weight deviation range is the average weight plus or minus twice the standard deviation. Therefore: the minimum allowable weight: 500g-(10g×2)=480g, the maximum allowable weight: 500g+(10g×2)=520g, and the weight deviation of automobile parts is 20g.

[0049] Specifically, the threshold of the dimensional deviation coefficient of automobile parts is determined by measuring the dimensions of a large number of production samples and conducting statistical analysis in the initial production stage, and then determining the threshold of the dimensional deviation coefficient based on the statistical results and quality requirements. The specific steps are as follows: First, calculate the mean, that is, find the average of all sample dimensions. The mean is the sum of all sample dimensions divided by the number of samples, which represents the expected size of the part. Next, calculate the standard deviation. The standard deviation is the square root of the average deviation between the sample data and its mean. It indicates the degree of dispersion of the sample data; a larger standard deviation means that the sample data is more dispersed, while a smaller standard deviation means that the sample data is closer to the mean; Finally, according to the design specifications and manufacturer requirements, determine the tolerance range of the part, that is, the minimum and maximum allowable dimensions, and then calculate the deviation coefficient threshold according to the following formula: ; Among them, USL is the upper specification limit of the automobile part size, LSL is the lower specification limit of the automobile part size, μ is the sample mean, σ is the standard deviation, Indicates the coefficient of deviation threshold.

[0050] Specifically, the threshold of the surface roughness parameter is determined by measuring the surface profile data of a large number of production samples and performing statistical analysis in the initial production stage, and then determining the threshold of the surface roughness parameter based on the statistical results and quality requirements; assuming that the surface roughness values ​​of 100 production samples are measured, the following statistical data are obtained: average value (μ): 1.5μm, standard deviation (σ): 0.2μm, maximum value (Max): 2.1μm, minimum value (Min): 1.0μm, and then setting the initial threshold: upper control limit: μ+3σ=1.5+3×0.2=2.1μm, lower control limit: μ−3σ=1.5−3×0.2=0.9μm; based on production and quality requirements, the threshold range of the surface roughness parameter can be set to 0.9μm to 2.1μm, and in actual production applications, the threshold of the surface roughness parameter within the threshold range can be set according to specific circumstances.

[0051] Furthermore, the process of obtaining the test results is as follows: obtaining a first stability assessment interval and a second stability assessment interval from a preset database, and comparing the first stability coefficient with the first stability assessment interval, and comparing the second stability coefficient with the second stability assessment interval to obtain a test result, the first stability assessment interval is used to determine the stability of the equipment working state, and the second stability assessment interval is used to determine the stability of the production quality of automobile parts. The test results include a first test result, a second test result, a third test result and a fourth test result; the first test result indicates that the first stability coefficient belongs to the first stability assessment interval and the second stability coefficient belongs to the second stability assessment interval; the second test result indicates that the first stability coefficient belongs to the first stability assessment interval and the second stability coefficient does not belong to the second stability assessment interval; the third test result indicates that the first stability coefficient does not belong to the first stability assessment interval and the second stability coefficient belongs to the second stability assessment interval; the fourth test result indicates that the first stability coefficient does not belong to the first stability assessment interval and the second stability coefficient does not belong to the second stability assessment interval.

[0052] In this embodiment, a first stability evaluation interval is determined based on statistical analysis of historical data of equipment operating parameters (such as temperature and speed), and a second stability evaluation interval is determined based on statistical analysis of historical data of key data in the parts production process (such as part weight, part size and part surface roughness); the first stability evaluation interval is used to determine the stability of the working state of the injection molding equipment. If the first stability coefficient falls within this interval, it means that the equipment is in good working condition; the second stability evaluation interval is used to determine the stability of the production quality of automobile parts. If the second stability coefficient falls within this interval, it means that the production quality of automobile parts is stable; by comparing the preset stability evaluation interval with the actual stability coefficient, the stability of the injection molding equipment and the production process can be intuitively judged, which can not only quickly identify problems, but also provide direction and basis for further optimizing the production process; by analyzing the test results, production management personnel can take timely measures to ensure stable operation of the equipment and consistency of product quality.

[0053] Furthermore, specific content of the result feedback is as follows: if the test result is the first test result, then the two-level stability is fed back to the preset personnel, and the two-level stability indicates that the working state of the injection molding equipment is stable during the injection molding operation of the automobile parts and the quality of the injected automobile parts is also stable; if the test result is the second test result, then the equipment stability is fed back to the preset personnel, and the equipment stability indicates that the working state of the injection molding equipment is stable during the injection molding operation of the automobile parts but the quality of the injected automobile parts is unstable; if the test result is the third test result, then the parts stability is fed back to the preset personnel, and the parts stability indicates that the working state of the injection molding equipment is unstable during the injection molding operation of the automobile parts but the quality of the injected automobile parts is stable; if the test result is the fourth test result, then the unstable is fed back to the preset personnel, and the unstable indicates that the working state of the injection molding equipment is unstable during the injection molding operation of the automobile parts and the quality of the injected automobile parts is also unstable.

[0054] In this embodiment, the first test result, i.e., two-level stability, indicates that the working state of the injection molding equipment in the injection molding operation is stable, and the quality of the molded automobile parts is also stable. In this case, the equipment operation and product quality are both in good condition, and no adjustment is required, and the existing operation can be maintained; the second test result, i.e., equipment stability, indicates that the working state of the injection molding equipment in the injection molding operation is stable, but the quality of the molded automobile parts is unstable. The equipment operates normally, but there may be problems with process parameter settings, raw material problems or environmental factors, and it is necessary to check and adjust the production process or other related factors; the third test result, i.e., part stability, indicates that the working state of the injection molding equipment in the injection molding operation is unstable, but the quality of the molded automobile parts is stable. Although the working state of the equipment is unstable, the final The product quality is still qualified, and the equipment maintenance or operating parameters may need to be adjusted to prevent problems caused by long-term operation; the fourth test result, namely instability, indicates that the working state of the injection molding equipment in the injection molding operation is unstable, and the quality of the molded automotive parts is also unstable. There are problems with both equipment operation and product quality. Immediate measures must be taken for comprehensive inspection and adjustment, which may require downtime maintenance, resetting parameters or replacing raw materials; by real-time monitoring and evaluation of the quality of injection molding equipment and produced parts, comprehensive feedback on the stability of the production process can be provided, helping preset personnel to discover and solve problems in a timely manner, ensuring the reliability of the production process and the consistency of product quality. Different feedback results provide clear guidance, which helps to improve production efficiency and reduce the production of unqualified products.

[0055] The embodiment of the present application provides a data processing system for testing the stability of injection molding operations of automobile parts, including an equipment stability testing module, a part stability testing module and a comprehensive stability evaluation module: the equipment stability testing module is used to collect injection molding equipment data through a first data acquisition device, and obtain a first stability coefficient based on the injection molding equipment data, the first data acquisition device includes a temperature sensor, a displacement sensor, and a flow sensor, the injection molding equipment data is used to describe the injection molding process of automobile parts, and the first stability coefficient is used to evaluate the stability of the injection molding equipment during the injection molding process; the part stability testing module is used to obtain automobile part quality data through a second data acquisition device, and obtain a second stability coefficient based on the automobile part quality data, the second data acquisition device includes a three-coordinate measuring machine, a surface roughness meter and a pressure sensor, the automobile part quality data is used to describe the injection molding results of automobile parts, and the second stability coefficient is used to reflect the stability of the injection molding equipment from the aspect of automobile part quality; the comprehensive stability evaluation module is used to obtain a test result based on the first stability coefficient and the second stability coefficient and provide result feedback, and the test result represents a stability test result of the injection molding operation of automobile parts.

[0056] In this embodiment, the equipment stability test module collects injection molding equipment data and calculates a first stability coefficient, and the part stability test module collects automobile part quality data and calculates a second stability coefficient; the calculation of the first stability coefficient comprehensively considers equipment operation data, such as temperature fluctuation, screw movement smoothness and injection flow stability to evaluate the working state of the equipment; the calculation of the second stability coefficient is based on part quality data, such as dimensional accuracy, surface roughness and part weight distribution, to evaluate the production quality of the parts; the equipment stability coefficient and the part stability coefficient are combined to obtain an overall stability test result, which reflects the global stability of the injection molding operation, and according to different test results, specific stability information is promptly fed back to relevant personnel, which helps to make corresponding adjustments and improvements. Through the systematic data collection, processing and evaluation method of this embodiment, the stability of the injection molding operation of automobile parts can be comprehensively monitored and evaluated, thereby improving the reliability of the production process and the consistency of product quality.

[0057] In summary, the embodiment of the present application obtains a first stability coefficient through the injection molding equipment data collected by the first data acquisition device, and then obtains a second stability coefficient through the automobile part quality data obtained by the second data acquisition device. Finally, the test results are obtained based on the first stability coefficient and the second stability coefficient and the result feedback is performed, thereby completing the stability test of the injection molding operation of the automobile parts, and then achieving a more accurate evaluation of the stability of the injection molding operation of the automobile parts, and effectively solving the problem of insufficient correlation between the stability judgment results of the injection molding operation of the automobile parts and the stability test data in the prior art.

[0058] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0060] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0061] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0062] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for processing data of injection molding operation stability test of automobile parts, characterized in that: The following steps are involved: Collecting injection molding equipment data through a first data acquisition device, and obtaining a first stability coefficient based on the injection molding equipment data, wherein the injection molding equipment data is used to describe an injection molding process of automobile parts, and the first stability coefficient is used to evaluate the stability of the injection molding equipment during the injection molding process; Acquire automobile part quality data through a second data acquisition device, and obtain a second stability coefficient based on the automobile part quality data, wherein the automobile part quality data is used to describe the injection molding result of the automobile part, and the second stability coefficient is used to reflect the stability of the injection molding device from the aspect of automobile part quality; The test result is obtained based on the first stability coefficient and the second stability coefficient and the result feedback is provided.

2. The method for processing injection molding operation stability test data for automobile parts according to claim 1, characterized in that: The specific collection process of the injection molding equipment data is as follows: At a preset time, the temperature of the hopper and the mold are measured by a temperature sensor to obtain the hopper temperature and the mold temperature respectively, wherein the preset time represents the set data acquisition time in the injection molding process of the automobile parts; At a preset time, the screw speed and injection speed are obtained through a displacement sensor and a flow sensor respectively; The injection molding equipment data includes mold temperature, hopper temperature, screw speed and injection speed.

3. The method for processing injection molding operation stability test data for automobile parts according to claim 2, characterized in that: The specific process of obtaining the first stability coefficient is as follows: A temperature stability coefficient is obtained according to the collected mold temperature and hopper temperature, and the temperature stability coefficient is used to reflect the influence of the temperature of the injection molding equipment on the stability of the injection molding operation; A speed stability coefficient is obtained according to the collected screw speed and injection speed, and the speed stability coefficient is used to reflect the influence of the injection molding equipment speed on the stability of the injection molding operation; It is determined whether the temperature stability coefficient and the speed stability coefficient are both not 0. If both the temperature stability coefficient and the speed stability coefficient are not 0, a first stability coefficient is obtained based on the temperature stability coefficient and the speed stability coefficient. Otherwise, the corresponding first stability coefficient is 0. The first stability coefficient is calculated using the following formula: ； In the formula, t represents the preset time, , T represents the total number of preset moments, represents the temperature stability coefficient at the t-th preset moment, represents the speed stability coefficient at the t-th preset moment, represents the first stability coefficient at the t-th preset moment, and e represents a natural constant.

4. The method for processing injection molding operation stability test data for automobile parts as claimed in claim 3, characterized in that: The specific method of obtaining the temperature stability coefficient is as follows: The temperature reference data is obtained from the preset database, and the temperature reference data includes the mold forming temperature, the mold temperature threshold, the hopper preheating temperature and the hopper temperature threshold. The temperature stability coefficient is obtained by combining the collected mold temperature and hopper temperature. The temperature stability coefficient is calculated using the following formula: ； In the formula, represents the mold temperature at the tth preset moment, Indicates the mold forming temperature, Indicates the die temperature threshold, represents the hopper temperature at the tth preset time, Indicates the hopper preheating temperature, Indicates the hopper temperature threshold, represents the temperature stability coefficient at the tth preset moment, and e represents a natural constant.

5. The method for processing injection molding operation stability test data for automobile parts as claimed in claim 3, characterized in that: The specific method for obtaining the speed stability coefficient is as follows: Acquire equipment reference data from a preset database, wherein the equipment reference data includes a reference screw speed, a screw speed deviation, a screw speed per unit time, a reference injection speed, an injection speed per unit time, and an injection speed deviation; The speed stability coefficient is obtained based on the equipment reference data, screw speed and injection speed. The speed stability coefficient is calculated using the following formula: ； In the formula, represents the screw speed at the t-th preset moment, Indicates the reference screw speed, Indicates the screw speed per unit time, represents the injection speed at the tth preset time, Indicates the reference injection speed, Indicates the injection speed per unit time, Indicates the screw speed deviation, Indicates the injection speed deviation, Represents the speed stability coefficient at the t-th preset moment.

6. The method for processing injection molding operation stability test data for automobile parts according to claim 1, characterized in that: The specific process of collecting the automobile parts quality data is as follows: At a preset time, the weight and size of the automobile part are obtained by a pressure sensor and a three-dimensional measuring machine, respectively, and a size deviation coefficient of the automobile part is obtained according to the size of the automobile part; At a preset time, surface profile data is obtained by a surface roughness meter, and surface roughness parameters are obtained according to the surface profile data, wherein the surface profile data is used to describe the surface roughness of the automobile parts produced after the automobile parts are injected; The automobile part quality data includes automobile part size deviation coefficient, automobile part weight and automobile part surface roughness parameter.

7. The method for processing injection molding operation stability test data for automobile parts according to claim 6, characterized in that: The specific process of obtaining the second stability coefficient is as follows: Acquire quality reference data from a preset database, wherein the quality reference data includes standard automobile part weight, automobile part weight deviation, automobile part size deviation coefficient threshold, and surface roughness parameter threshold; A second stability coefficient is obtained based on the automobile part quality data and the quality reference data, and the second stability coefficient is calculated using the following formula: ； In the formula, t represents the preset time, , T represents the total number of preset moments, represents the weight of the automobile part injected at the t-th preset moment, Indicates the dimensional deviation coefficient of the automobile part injected at the tth preset moment, represents the surface roughness parameter of the automobile part injected at the t-th preset moment, is the standard automobile parts weight, Indicates the weight deviation of automobile parts. Indicates the threshold value of the automotive parts size deviation coefficient, represents the surface roughness parameter threshold, It represents the second stability coefficient of the injection molding operation of the automobile part at the t-th preset moment, and e is a natural constant.

8. The method for processing injection molding operation stability test data for automobile parts according to claim 1, characterized in that: The process of obtaining the test results is as follows: Obtaining a first stability evaluation interval and a second stability evaluation interval from a preset database, and comparing the first stability coefficient with the first stability evaluation interval, and comparing the second stability coefficient with the second stability evaluation interval, to obtain a test result, wherein the first stability evaluation interval is used to determine the stability of the working state of the equipment, and the second stability evaluation interval is used to determine the stability of the production quality of automobile parts, and the test result includes a first test result, a second test result, a third test result, and a fourth test result; The first test result indicates that the first stability coefficient belongs to the first stability evaluation interval and the second stability coefficient belongs to the second stability evaluation interval; The second test result indicates that the first stability coefficient belongs to the first stability evaluation interval and the second stability coefficient does not belong to the second stability evaluation interval; The third test result indicates that the first stability coefficient does not belong to the first stability evaluation interval and the second stability coefficient belongs to the second stability evaluation interval; The fourth test result indicates that the first stability coefficient does not belong to the first stability evaluation interval and the second stability coefficient does not belong to the second stability evaluation interval.

9. The method for processing injection molding operation stability test data for automobile parts according to claim 8, characterized in that: The specific content of the result feedback is as follows: If the test result is the first test result, two-level stability is fed back to the preset personnel, and the two-level stability indicates that the working state of the injection molding equipment is stable during the injection molding operation of the automobile parts and the quality of the injected automobile parts is also stable; If the test result is the second test result, the device is stable, which is fed back to the preset personnel, and the device stability indicates that the working state of the injection molding device is stable during the injection molding operation of the automobile parts, but the quality of the injected automobile parts is unstable; If the test result is the third test result, the part stability is fed back to the preset personnel, wherein the part stability indicates that the working state of the injection molding equipment is unstable during the injection molding operation of the automobile part, but the quality of the injected automobile part is stable; If the test result is the fourth test result, unstable feedback is given to the preset personnel, and the instability indicates that the working state of the injection molding equipment is unstable during the injection molding operation of the automobile parts and the quality of the injected automobile parts is also unstable.

10. A data processing system for testing the stability of injection molding operation of automobile parts, characterized in that: The injection molding operation stability test data processing system for automobile parts includes an equipment stability test module, a part stability test module and a comprehensive stability evaluation module: The equipment stability test module is used to collect injection molding equipment data through a first data acquisition device, and obtain a first stability coefficient based on the injection molding equipment data, which is used to describe the injection molding process of automobile parts, and the first stability coefficient is used to evaluate the stability of the injection molding equipment during the injection molding process; The part stability testing module is used to obtain automobile part quality data through a second data acquisition device, and obtain a second stability coefficient based on the automobile part quality data, the second data acquisition device includes a three-coordinate measuring machine, a surface roughness meter and a pressure sensor, the automobile part quality data is used to describe the injection molding results of the automobile parts, and the second stability coefficient is used to reflect the stability of the injection molding equipment from the aspect of automobile part quality; The comprehensive stability evaluation module is used to obtain a test result according to the first stability coefficient and the second stability coefficient and to provide result feedback, wherein the test result represents a stability test result of the injection molding operation of the automobile part.

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