Injection molding temperature management and control system of injection molding machine

Abstract

The invention relates to the technical field of temperature control, and particularly discloses an injection molding temperature control system for an injection molding machine, which comprises a periodic detection module for periodically detecting an injection molding product to obtain abnormal data of the injection molding product in each detection period; the abnormal data analysis module is used for calculating an abnormal coefficient based on the abnormal data; the injection molding process evaluation module is used for evaluating the injection molding process of the injection molding product based on the abnormal coefficient, judging whether the injection molding process of the injection molding product is in an abnormal state or not and generating a state evaluation signal; the relevance evaluation module is used for analyzing whether the abnormity of the injection molding process of the injection molding product is related to the temperature of the injection molding machine or not based on the state early warning signal and generating a relevance evaluation signal; the temperature regulation and control module is used for regulating and controlling the temperature of the injection molding machine based on the associated signals; the detection precision of the injection molding product in the injection molding process is improved, an accurate temperature regulation and control strategy is implemented, the stability of the injection molding process is improved, and the product quality is effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and in particular to an injection molding temperature control system for an injection molding machine. Background Art

[0002] Injection molding machine, also known as injection molding machine or injection machine, is the main molding equipment that uses plastic molding molds to make plastic products of various shapes from thermoplastics or thermosetting plastics. It is divided into vertical, horizontal, and all-electric types. The injection molding machine can heat the plastic and apply high pressure to the molten plastic to make it ejected and fill the mold cavity.

[0003] However, in the prior art, during the injection molding process of injection molded products, it is not possible to capture minute changes in each inspection area in detail through a combination of periodic inspection and partition inspection, nor is it possible to make the inspection results close to actual production needs based on the importance of the area, which leads to inaccurate inspection and is not convenient for temperature control in the subsequent injection molding process. Summary of the invention

[0004] The object of the present invention is to provide an injection molding temperature control system for an injection molding machine to solve the technical problems in the above background.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an injection molding temperature control system for an injection molding machine, comprising: Periodic detection module: During the injection molding process, the injection molding products are periodically inspected to obtain abnormal data of the injection molding products in each inspection cycle; Among them, the abnormal data includes: abnormal degree value and abnormal range value; Abnormal data analysis module: calculate the abnormal coefficient based on abnormal data; Injection molding process evaluation module: Based on the abnormal coefficient, the injection molding process of the injection molding product is evaluated to determine whether the injection molding process of the injection molding product is in an abnormal state, and a state evaluation signal is generated; Among them, the status assessment signal includes: normal status signal, abnormal status signal, and status warning signal; Correlation evaluation module: Based on the status warning signal, it analyzes whether the abnormality of the injection molding process of the injection molding product is related to the temperature of the injection molding machine, and generates a correlation evaluation signal; The correlation evaluation signal includes: a correlation signal and an uncorrelated signal; Temperature control module: controls the temperature of the injection molding machine based on relevant signals.

[0006] As a further solution of the present invention: the process of obtaining abnormal data is: During the inspection cycle, the injection molded product is divided into several inspection areas; The injection molded product is tested to obtain the abnormality characterization value of each test area, and then based on the abnormality characterization value of each test area, the abnormality degree value and abnormality range value of the injection molded product within the test cycle are calculated respectively.

[0007] As a further solution of the present invention: the process of obtaining the abnormal characterization value is: Based on any detection area, using an ultrasonic device, the defects in the detection area are detected to obtain the defect volume ratio and defect quantity ratio of the detection area respectively; The defect volume ratio and defect quantity ratio of the detection area are summed and calculated to obtain the abnormal characterization value.

[0008] As a further solution of the present invention: the process of obtaining the defect volume ratio is: The total volume of all defects in the inspection area is extracted to obtain the defect volume, and the ratio of the defect volume to the inspection area volume is calculated to obtain the defect volume ratio; The process of obtaining the defect quantity ratio is as follows: The total number of all defects in the inspection area is extracted to obtain the defect quantity, and the defect quantity is ratio-calculated with the defect quantity threshold to obtain the defect quantity ratio.

[0009] As a further solution of the present invention: the process of obtaining the abnormality degree value is: Extract the abnormal characterization value of each detection area, and at the same time, obtain the regional score of each detection area; By formula: , calculate the abnormality degree value CD, where N represents the total number of all detection areas in the injection molded product, i represents the i-th detection area of ​​the injection molded product, and i takes values ​​of 1, 2, 3, ..., N, PF i is the regional score of the i-th detection area, BZ i is the abnormal characterization value of the i-th detection area, and ZPF is the total score of the area.

[0010] As a further solution of the present invention: the process of obtaining the abnormal range value is: Extract the abnormal characterization value of each detection area, and compare and analyze the abnormal characterization value of each detection area with the abnormal characterization threshold; If the abnormal characterization value is less than or equal to the abnormal characterization threshold, a normal signal of the detection area is generated, and the detection area is marked as a normal detection area; If the abnormal characterization value is greater than the abnormal characterization threshold, a detection area abnormal signal is generated, and the detection area is marked as a detection abnormal area; Extracting the total volume of all detected abnormal areas in the injection molded product to obtain the volume of the abnormal area; The abnormal area volume is calculated by ratio with the injection molded product volume to obtain the abnormal range value.

[0011] As a further solution of the present invention: the process of obtaining the abnormal coefficient is: By formula: , calculate and obtain the abnormal coefficient YC, where a1 and a2 are preset proportional factors, and both are greater than 0, CD is the abnormal degree value, and FW is the abnormal range value.

[0012] As a further solution of the present invention: the process of generating the state evaluation signal is: Preset a first threshold and a second threshold, and compare and analyze the abnormal coefficient with the first threshold and the second threshold respectively; If the abnormal coefficient is ≤ the first threshold, a normal state signal is generated; If the first threshold value < abnormal coefficient ≤ second threshold value, a status warning signal is generated; If the second threshold value is less than the abnormal coefficient, a state abnormality signal is generated.

[0013] As a further solution of the present invention: the process of generating the relevance evaluation signal is: Based on the status warning signal, extract all completed inspection cycles during the injection molding process of the injection molding product, and extract the abnormal coefficient and temperature value of each inspection cycle; Based on any detection cycle, the abnormal coefficient of the detection cycle is calculated by ratio with the temperature value to obtain the associated characterization value; The variance of the correlation representation values ​​of all detection cycles is calculated to obtain the correlation coefficient; Compare and analyze the correlation coefficient with the correlation coefficient threshold; If the correlation coefficient is ≤ the correlation coefficient threshold, a correlation signal is generated; If the correlation coefficient is greater than the correlation coefficient threshold, a no-correlation signal is generated.

[0014] As a further solution of the present invention: the process of regulating the temperature of the injection molding machine is: Based on the relevant signal, the abnormal coefficient of the current detection cycle is extracted, and based on the abnormal coefficient, the temperature control value is calculated, and based on the temperature control value, the temperature of the injection molding machine in the next detection cycle is controlled; The process of obtaining the temperature control value is as follows: By formula: , calculate and obtain the temperature control value TK, where YC is the abnormal coefficient, WD is the current temperature value, and Y1 is the first threshold.

[0015] Beneficial effects of the present invention: (1) The present invention first sets up periodic detection, and uses advanced equipment such as ultrasonic devices to perform detailed zoning detection on injection molded products, obtain defect information of each area, including bubbles, impurities, cracks, etc., and calculate the defect volume ratio and quantity ratio to form an abnormal characterization value; then, combined with the importance score of each area in the overall injection molded product, the abnormal degree value and the abnormal range value are calculated to fully reflect the abnormal situation of the injection molded product; further, through a preset formula and proportional factor, the abnormal degree value and the abnormal range value are integrated into an abnormal coefficient, which becomes a key indicator for evaluating the state of the injection molding process; by comparing the abnormal coefficient with the preset first and second thresholds, the system can automatically generate a state evaluation signal, including a normal state, a warning signal, and an abnormal signal, to provide timely and accurate feedback for production personnel; the present invention not only improves the detection accuracy of the injection molding process of the injection molded product, but also realizes early warning and rapid response to potential problems, which helps to improve product quality and production efficiency, and ensure that the injection molded product meets high quality requirements; (2) Based on the status warning signal, the present invention reviews the historical detection cycle data, extracts the abnormal coefficient of each cycle and the average temperature of the injection molding machine; then, by calculating the ratio of the abnormal coefficient to the temperature of each cycle (correlation characterization value), these values ​​are summarized to calculate the variance to obtain the correlation coefficient; the correlation coefficient is compared with the preset threshold value. If it is lower than the threshold value, it is determined that the injection molding machine temperature is closely related to the injection molding abnormality, and a correlation signal is issued; otherwise, it is unrelated; then based on the correlation signal; the system reads the abnormal coefficient of the current cycle and the injection molding machine temperature, and calculates the temperature control value. This value is intended to guide the adjustment of the injection molding machine temperature in the next detection cycle to optimize the injection molding process and reduce the occurrence of abnormalities; the present invention clarifies the root cause of the problem through correlation analysis, and then implements a precise temperature control strategy, which not only improves the stability of the injection molding process, but also effectively guarantees product quality, reflecting the core capabilities of rapid response and precise control of abnormalities in intelligent production; (3) The present invention can capture minute changes in each inspection area in great detail by combining periodic inspection with partitioned inspection. At the same time, combined with the importance score of each inspection area in the overall injection molded product, it can assign corresponding weights to different areas, and then calculate a more scientific abnormality degree value, which not only reflects the intuitive quantity and quality of defects, but also incorporates the consideration of regional importance, making the inspection results closer to actual production needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 It is a flowchart of the present invention; Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] Embodiment 1: See also Figure 1 , Figure 2 As shown, an injection molding temperature control system of an injection molding machine according to an embodiment of the present invention includes: Periodic detection module: During the injection molding process, the injection molding products are periodically inspected to obtain abnormal data of the injection molding products in each inspection cycle; Among them, the abnormal data includes: abnormal degree value and abnormal range value; It should be explained that the duration of the detection cycle can be 1 minute, 5 minutes, or 10 minutes; In some embodiments, during the detection cycle, the injection molded product is partitioned to obtain a number of detection areas; It should be explained that the division of the inspection area is based on the appearance and internal structure of the injection molded product. For example, it can be divided according to the appearance area, active connection parts, vulnerable areas, etc. of the injection molded product; The injection molded product is tested to obtain the abnormality characterization value of each test area, and then based on the abnormality characterization value of each test area, the abnormality degree value and abnormality range value of the injection molded product within the test period are calculated respectively; First, the specific process of obtaining the abnormal characterization value is as follows: Based on any detection area, using an ultrasonic device, the defects in the detection area are detected to obtain the defect volume ratio and defect quantity ratio of the detection area respectively; It should be explained that defects include but are not limited to: bubbles, impurities, cracks; The defect volume ratio and the defect quantity ratio of the detection area are summed and calculated to obtain an abnormality characterization value; Furthermore, the defect volume ratio is obtained as follows: The total volume of all defects in the inspection area is extracted to obtain the defect volume, and the ratio of the defect volume to the inspection area volume is calculated to obtain the defect volume ratio; It should be explained that the defect volume ratio indicates the proportion of the volume of defects in the detection area to the total volume of the detection area. The larger the defect volume ratio, the larger the proportion of the defect volume in the detection area, which means the higher the abnormality in the detection area. The process of obtaining the defect quantity ratio is as follows: The total number of all defects in the inspection area is extracted to obtain the number of defects, and the ratio of the number of defects to the defect number threshold is calculated to obtain the defect number ratio; It should be explained that the ratio of the number of defects to the defect number threshold is calculated, wherein the defect number threshold is used to perform dimensionless processing on the number of defects, thereby obtaining a dimensionless value, namely, the defect number ratio; It needs to be further explained that the larger the value of the defect quantity ratio is, the more defects there are in the detection area, which means the higher the abnormality level in the detection area is; The second specific process of obtaining the abnormality value is as follows: Extract the abnormal characterization value of each detection area, and at the same time, obtain the regional score of each detection area; It should be explained that the regional score is: based on the importance of the current inspection area to the overall injection molded product, the inspection area is scored from 0 to 100. The higher the regional score, the higher the importance of the inspection area to the overall injection molded product. The basis for judging the importance includes but is not limited to: whether the current inspection area is on the outer surface of the injection molded product, whether the current inspection area contains the active connection part of the injection molded product; By formula: , calculate the abnormality degree value CD, where N represents the total number of all detection areas in the injection molded product, i represents the i-th detection area of ​​the injection molded product, and i takes values ​​of 1, 2, 3, ..., N, PF i is the regional score of the i-th detection area, BZ i is the abnormal characterization value of the i-th detection area, and ZPF is the total regional score (total regional score: the regional scores of all detection areas in the injection molded product are summed up to obtain the total regional score); It should be explained that the abnormality degree value represents the total value of the abnormality degree of each detection area of ​​the injection molded product, and also takes into account the importance of each detection area in the injection molded product. The larger the abnormality degree value, the higher the abnormality degree of the injection molded product. Third, the process of obtaining the abnormal range value is as follows: Extract the abnormal characterization value of each detection area, and compare and analyze the abnormal characterization value of each detection area with the abnormal characterization threshold; If the abnormality characterization value is less than or equal to the abnormality characterization threshold, it means that the abnormality in the detection area is small, that is, a normal signal of the detection area is generated, and the detection area is marked as a normal detection area; If the abnormality characterization value is greater than the abnormality characterization threshold, it means that the abnormality in the detection area is relatively large, that is, a detection area abnormality signal is generated, and the detection area is marked as a detection abnormality area; Extracting the total volume of all detected abnormal areas in the injection molded product to obtain the volume of the abnormal area; Calculate the ratio of the volume of the abnormal area to the volume of the injection molded product to obtain the abnormal range value; It should be explained that the abnormal range value indicates the total volume ratio of the area identified as abnormal inside the injection molded product. The larger the abnormal range value, the more serious the problem in the injection molding process. Abnormal data analysis module: calculate the abnormal coefficient based on abnormal data; In some embodiments, by the formula: , calculate and obtain the abnormal coefficient YC, where a1 and a2 are preset proportional factors, both greater than 0, CD is the abnormal degree value, and FW is the abnormal range value; Injection molding process evaluation module: Based on the abnormal coefficient, the injection molding process of the injection molding product is evaluated to determine whether the injection molding process of the injection molding product is in an abnormal state, and a state evaluation signal is generated; Among them, the status assessment signal includes: normal status signal, abnormal status signal, and status warning signal; In some embodiments, a first threshold and a second threshold are preset, and the abnormal coefficient is compared and analyzed with the first threshold and the second threshold respectively; If the abnormal coefficient is ≤ the first threshold, it means that the abnormal degree of the injection molded product in the detection cycle is low and the abnormal range is small, that is, a normal state signal is generated; If the first threshold value < abnormal coefficient ≤ second threshold value, it means that the abnormal degree of the injection molded product in the detection cycle is moderate and the abnormal range is moderate, that is, a status warning signal is generated; If the second threshold value is less than the abnormal coefficient, it means that the abnormal degree of the injection molded product in the detection cycle is high and the abnormal range is large, that is, a state abnormality signal is generated; The technical solution of the embodiment of the present invention is mainly as follows: first, periodic detection is set, and the injection molded product is subjected to detailed zoning detection through advanced equipment such as ultrasonic devices to obtain defect information of each area, including bubbles, impurities, cracks, etc., and the defect volume ratio and quantity ratio are calculated to form an abnormal characterization value; then, the abnormality degree value and the abnormality range value are calculated in combination with the importance score of each area in the overall injection molded product to comprehensively reflect the abnormal situation of the injection molded product; further, the abnormality degree value and the abnormality range value are integrated into an abnormality coefficient through a preset formula and a proportional factor, and the coefficient becomes a key indicator for evaluating the state of the injection molding process; by comparing the abnormality coefficient with the preset first and second thresholds, the system can automatically generate a state evaluation signal, including a normal state, a warning and an abnormal signal, to provide timely and accurate feedback for production personnel; the embodiment of the present invention not only improves the detection accuracy of the injection molding process of the injection molded product, but also realizes early warning and rapid response to potential problems, which helps to improve product quality and production efficiency, and ensure that the injection molded product meets high quality requirements.

[0020] Embodiment 2: On the basis of Example 1, an injection molding temperature control system for an injection molding machine according to an embodiment of the present invention further includes: Correlation evaluation module: Based on the status warning signal, it analyzes whether the abnormality of the injection molding process of the injection molding product is related to the temperature of the injection molding machine, and generates a correlation evaluation signal; The correlation evaluation signal includes: a correlation signal and an uncorrelated signal; In some implementation schemes, based on the status warning signal, all completed detection cycles in the injection molding process of the injection molded product are extracted, and the abnormal coefficient and temperature value of each detection cycle are extracted; It should be explained that the temperature value of the test cycle is the average value of the temperature of the injection molding machine during the test cycle; Based on any detection cycle, the abnormal coefficient of the detection cycle is calculated by ratio with the temperature value to obtain the associated characterization value; The variance of the correlation representation values ​​of all detection cycles is calculated to obtain the correlation coefficient; Compare and analyze the correlation coefficient with the correlation coefficient threshold; If the correlation coefficient is less than or equal to the correlation coefficient threshold, it means that the temperature of the injection molding machine is correlated with the abnormality of the injection molding process of the injection molding product, and a correlation signal is generated; If the correlation coefficient is greater than the correlation coefficient threshold, it means that the temperature of the injection molding machine has no correlation with the abnormality of the injection molding process of the injection molding product, that is, an uncorrelated signal is generated; Temperature control module: controls the temperature of the injection molding machine based on relevant signals; In some embodiments, based on the associated signal, an abnormal coefficient of the current detection cycle is extracted, and based on the abnormal coefficient, a temperature control value is calculated, so that the temperature of the injection molding machine in the next detection cycle is controlled based on the temperature control value; Specifically, the process of obtaining the temperature control value is as follows: By formula: , calculate and obtain the temperature control value TK, where YC is the abnormal coefficient, WD is the current temperature value, and Y1 is the first threshold; The technical solution of the embodiment of the present invention is mainly as follows: based on the status warning signal, the historical detection cycle data is reviewed to extract the abnormal coefficient of each cycle and the average temperature of the injection molding machine; then, by calculating the ratio of the abnormal coefficient to the temperature of each cycle (correlation characterization value), these values ​​are summarized to calculate the variance to obtain the correlation coefficient; the correlation coefficient is compared with the preset threshold value, if it is lower than the threshold value, it is determined that the injection molding machine temperature is closely related to the injection molding abnormality, and a correlation signal is issued; otherwise, it is unrelated; then based on the correlation signal; the system reads the abnormal coefficient and the injection molding machine temperature of the current cycle, and calculates the temperature control value, which is intended to guide the adjustment of the injection molding machine temperature in the next detection cycle, so as to optimize the injection molding process and reduce the occurrence of abnormalities; the embodiment of the present invention clarifies the root cause of the problem through correlation analysis, and then implements a precise temperature control strategy, which not only improves the stability of the injection molding process, but also effectively guarantees product quality, reflecting the core capabilities of rapid response and precise control of abnormalities in intelligent production.

[0021] The size of the above threshold is set for the convenience of comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; for example: in the actual process, there are many groups of abnormal degree values ​​and abnormal range values. Many groups of abnormal degree values ​​and abnormal range values ​​are processed to obtain the abnormal coefficients of the corresponding groups. The staff evaluates the injection molding process state of the injection molding product based on so many groups of abnormal coefficients, thereby obtaining a corresponding relationship between an abnormal coefficient and the injection molding process state of the injection molding product, and then derives and divides the threshold of the abnormal coefficient according to the injection molding process state of the injection molding product, thereby obtaining the first threshold and the second threshold of the abnormal coefficient threshold, and compares the obtained abnormal coefficient with the first threshold and the second threshold, that is, completes the identification of the injection molding process state of the injection molding product corresponding to the abnormal coefficient; 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 abnormal data and sets a corresponding abnormal coefficient for each group of abnormal data; Substitute the set abnormal coefficient and the collected abnormal data into the formula, any two formulas constitute a binary linear equation system, screen the calculated factors and take the average, and obtain the values ​​of a1 and a2 as 1.87 and 2.23 respectively; 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 abnormal data and the initial setting of the corresponding abnormal coefficient for each set of abnormal 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 abnormal coefficient is proportional to the value of the abnormal degree.

[0022] 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. An injection molding temperature control system for an injection molding machine, characterized in that: include: Periodic detection module: During the injection molding process, the injection molding products are periodically inspected to obtain abnormal data of the injection molding products in each inspection cycle; Among them, the abnormal data includes: abnormal degree value and abnormal range value; Abnormal data analysis module: calculate the abnormal coefficient based on abnormal data; Injection molding process evaluation module: Based on the abnormal coefficient, the injection molding process of the injection molding product is evaluated to determine whether the injection molding process of the injection molding product is in an abnormal state, and a state evaluation signal is generated; Among them, the status assessment signal includes: normal status signal, abnormal status signal, and status warning signal; Correlation evaluation module: Based on the status warning signal, it analyzes whether the abnormality of the injection molding process of the injection molding product is related to the temperature of the injection molding machine, and generates a correlation evaluation signal; The correlation evaluation signal includes: a correlation signal and an uncorrelated signal; Temperature control module: controls the temperature of the injection molding machine based on relevant signals.

2. The injection molding temperature control system of an injection molding machine according to claim 1, characterized in that: The process of obtaining abnormal data is as follows: During the inspection cycle, the injection molded product is divided into several inspection areas; The injection molded product is tested to obtain the abnormality characterization value of each test area, and then based on the abnormality characterization value of each test area, the abnormality degree value and abnormality range value of the injection molded product within the test cycle are calculated respectively.

3. The injection molding temperature control system of an injection molding machine according to claim 2, characterized in that: The process of obtaining the abnormal characterization value is as follows: Based on any detection area, using an ultrasonic device, the defects in the detection area are detected to obtain the defect volume ratio and defect quantity ratio of the detection area respectively; The defect volume ratio and defect quantity ratio of the detection area are summed and calculated to obtain the abnormal characterization value.

4. The injection molding temperature control system of an injection molding machine according to claim 3, characterized in that: The process of obtaining the defect volume ratio is: The total volume of all defects in the inspection area is extracted to obtain the defect volume, and the ratio of the defect volume to the inspection area volume is calculated to obtain the defect volume ratio; The process of obtaining the defect quantity ratio is as follows: The total number of all defects in the inspection area is extracted to obtain the defect quantity, and the defect quantity is ratio-calculated with the defect quantity threshold to obtain the defect quantity ratio.

5. The injection molding temperature control system of an injection molding machine according to claim 3, characterized in that: The process of obtaining the abnormality value is as follows: Extract the abnormal characterization value of each detection area, and at the same time, obtain the regional score of each detection area; By formula: , calculate the abnormality degree value CD, where N represents the total number of all detection areas in the injection molded product, i represents the i-th detection area of ​​the injection molded product, and i takes values ​​of 1, 2, 3, ..., N, PF i is the regional score of the i-th detection area, BZ i is the abnormal characterization value of the i-th detection area, and ZPF is the total score of the area.

6. The injection molding temperature control system of an injection molding machine according to claim 3, characterized in that: The process of obtaining the abnormal range value is: Extract the abnormal characterization value of each detection area, and compare and analyze the abnormal characterization value of each detection area with the abnormal characterization threshold; If the abnormal characterization value is less than or equal to the abnormal characterization threshold, a normal signal of the detection area is generated, and the detection area is marked as a normal detection area; If the abnormal characterization value is greater than the abnormal characterization threshold, a detection area abnormal signal is generated, and the detection area is marked as a detection abnormal area; Extracting the total volume of all detected abnormal areas in the injection molded product to obtain the volume of the abnormal area; The abnormal area volume is calculated by ratio with the injection molded product volume to obtain the abnormal range value.

7. The injection molding temperature control system of an injection molding machine according to claim 1, characterized in that: The process of obtaining the anomaly coefficient is: By formula: , calculate and obtain the abnormal coefficient YC, where a1 and a2 are preset proportional factors, and both are greater than 0, CD is the abnormal degree value, and FW is the abnormal range value.

8. The injection molding temperature control system of an injection molding machine according to claim 1, characterized in that: The process of generating the status evaluation signal is: Preset a first threshold and a second threshold, and compare and analyze the abnormal coefficient with the first threshold and the second threshold respectively; If the abnormal coefficient is ≤ the first threshold, a normal state signal is generated; If the first threshold value < abnormal coefficient ≤ second threshold value, a status warning signal is generated; If the second threshold value is less than the abnormal coefficient, a state abnormality signal is generated.

9. The injection molding temperature control system of an injection molding machine according to claim 1, characterized in that: The process of generating the relevance evaluation signal is: Based on the status warning signal, extract all completed inspection cycles during the injection molding process of the injection molding product, and extract the abnormal coefficient and temperature value of each inspection cycle; Based on any detection cycle, the abnormal coefficient of the detection cycle is calculated by ratio with the temperature value to obtain the associated characterization value; The variance of the correlation representation values ​​of all detection cycles is calculated to obtain the correlation coefficient; Compare and analyze the correlation coefficient with the correlation coefficient threshold; If the correlation coefficient is ≤ the correlation coefficient threshold, a correlation signal is generated; If the correlation coefficient is greater than the correlation coefficient threshold, a no-correlation signal is generated.

10. The injection molding temperature control system of an injection molding machine according to claim 1, characterized in that: The process of regulating the temperature of the injection molding machine is: Based on the relevant signal, the abnormal coefficient of the current detection cycle is extracted, and based on the abnormal coefficient, the temperature control value is calculated, and based on the temperature control value, the temperature of the injection molding machine in the next detection cycle is controlled; The process of obtaining the temperature control value is as follows: By formula: , calculate and obtain the temperature control value TK, where YC is the abnormal coefficient, WD is the current temperature value, and Y1 is the first threshold.

Images