Multi-cavity injection molding method and device for luminous reaction cup production

Abstract

The invention discloses a multi-cavity injection molding method and device for light-emitting reaction cup production, and relates to the technical field of multi-cavity injection molding.The method comprises the steps that interaction with a light-emitting reaction cup injection molding machine tool is conducted, and melt flow monitoring time sequence information of a light-emitting reaction cup injection mold cavity is obtained; obtaining melt flow-in position monitoring time sequence information of the injection mold cavity of the luminous reaction cup; performing melt flow anomaly analysis to obtain a first melt flow anomaly coefficient; performing melt inflow position anomaly analysis according to the monitoring time sequence information of the melt inflow position of the injection mold cavity of the luminous reaction cup to obtain a melt inflow position anomaly coefficient; and resetting the timer to zero, and returning to the starting process to execute the cycle. The technical problems that in the prior art, it is difficult to rapidly and accurately judge the abnormal condition by analyzing the difference of all the mold cavities, and the rapid verification requirement cannot be met are solved, and the technical effects that the efficiency of abnormal detection in the injection molding process is improved, and therefore the production quality and stability of the light-emitting reaction cup are improved are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of multi-cavity injection molding, and in particular to a multi-cavity injection molding method and device for producing luminous reaction cups. Background Art

[0002] In modern industrial production, luminescent reaction cups, as an important experimental consumable, are widely used in the detection and analysis links of biology, chemistry, medicine and other fields. The quality of luminescent reaction cups directly affects the accuracy and reliability of experimental results. Therefore, the production quality control of luminescent reaction cups is very important. Multi-cavity injection molding technology is a common method to achieve efficient production of luminescent reaction cups. It can form products in multiple cavities at the same time through a single injection molding process, which greatly improves production efficiency. However, this production method faces many challenges in practical applications. On the one hand, there are deficiencies in melt flow monitoring. In the traditional injection molding production process, there is often a lack of fine monitoring of the melt flow in each cavity. Due to the lack of detailed melt flow information, it is difficult to accurately judge the flow difference between different cavities. During the injection molding process, uneven melt flow may cause some cavities to be incompletely filled or overfilled. On the other hand, the monitoring and control of the melt inflow position are also difficult. During the injection molding process, the melt inflow position in the cavity has an important influence on product quality. If the melt inflow position cannot be accurately grasped, resulting in uneven product wall thickness, this will not only affect the optical properties of the luminous reaction cup, such as light scattering and reflection characteristics, but may also affect its coordination accuracy with other experimental equipment.

[0003] The existing technology has the technical problem that it is difficult to quickly and accurately judge abnormal situations by analyzing the differences between the mold cavities and cannot meet the needs of rapid verification. Summary of the invention

[0004] The present application provides a multi-cavity injection molding method and device for the production of luminous reaction cups, which is used to solve the technical problem that it is difficult to quickly and accurately judge abnormal situations by analyzing the differences between each mold cavity in the prior art, and it is unable to meet the rapid verification requirements.

[0005] In view of the above problems, the present application provides a multi-cavity injection molding method and device for producing luminous reaction cups.

[0006] In a first aspect of the present application, a multi-cavity injection molding method for producing a luminous reaction cup is provided, the method comprising: When the luminous reaction cup injection molding machine is started, the timer is started. When the preset time is met, the timer interacts with the luminous reaction cup injection molding machine to obtain the first luminous reaction cup injection mold cavity melt flow monitoring timing information, the second luminous reaction cup injection mold cavity melt flow monitoring timing information until the Nth luminous reaction cup injection mold cavity melt flow monitoring timing information; obtain the first luminous reaction cup injection mold cavity melt flow monitoring timing information, the second luminous reaction cup injection mold cavity melt flow monitoring timing information until the Nth luminous reaction cup injection mold cavity melt flow monitoring timing information; according to the first luminous reaction cup injection mold cavity melt flow monitoring timing information, the second luminous reaction cup injection mold cavity melt flow monitoring timing information until The melt flow anomaly analysis is performed on the melt flow monitoring timing information of the Nth luminescent reaction cup injection cavity to obtain a first melt flow anomaly coefficient; melt inflow position anomaly analysis is performed based on the melt inflow position monitoring timing information of the first luminescent reaction cup injection cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection cavity, and up to the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection cavity to obtain a first melt inflow position anomaly coefficient; when the first melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, and the first melt inflow position anomaly coefficient is less than or equal to the melt inflow position anomaly coefficient threshold, the timer is reset to zero, and the process execution loop is returned to the start.

[0007] The second aspect of the present application provides a multi-cavity injection molding device for producing a luminous reaction cup, the device comprising: A flow monitoring timing information acquisition module, the flow monitoring timing information acquisition module is used to start the timer when the luminescent reaction cup injection molding machine is started, and when the preset time is met, interact with the luminescent reaction cup injection molding machine to obtain the first luminescent reaction cup injection mold cavity melt flow monitoring timing information, the second luminescent reaction cup injection mold cavity melt flow monitoring timing information until the Nth luminescent reaction cup injection mold cavity melt flow monitoring timing information; an inflow position monitoring timing information acquisition module, the inflow position monitoring timing information acquisition module is used to obtain the first luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, the second luminescent reaction cup injection mold cavity melt inflow position monitoring timing information until the Nth luminescent reaction cup injection mold cavity melt inflow position monitoring timing information; a melt flow abnormality coefficient acquisition module, the melt flow abnormality coefficient acquisition module is used to obtain the melt flow monitoring timing information of the first luminescent reaction cup injection mold cavity, the second luminescent reaction cup injection mold cavity melt flow monitoring timing information according to the first luminescent reaction cup injection mold cavity melt flow monitoring timing information, the second luminescent reaction cup injection mold cavity melt flow monitoring timing information. The melt flow monitoring timing information of the light reaction cup injection cavity is used to perform melt flow abnormality analysis on the melt flow monitoring timing information of the Nth light reaction cup injection cavity, and obtain a first melt flow abnormality coefficient; a melt inflow position abnormality coefficient acquisition module, the melt inflow position abnormality coefficient acquisition module is used to perform melt inflow position abnormality analysis on the melt inflow position according to the first light reaction cup injection cavity melt inflow position monitoring timing information, the second light reaction cup injection cavity melt inflow position monitoring timing information, and the Nth light reaction cup injection cavity melt inflow position monitoring timing information, and obtain a first melt inflow position abnormality coefficient; an execution loop module, the execution loop module is used to reset the timer to zero when the first melt flow abnormality coefficient is less than or equal to the melt flow abnormality coefficient threshold, and the first melt inflow position abnormality coefficient is less than or equal to the melt inflow position abnormality coefficient threshold, and return to the start process execution loop.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: When the luminous reaction cup injection molding machine is started, the timer is started. When the preset time is met, the timer interacts with the luminous reaction cup injection molding machine to obtain the luminous reaction cup injection mold cavity melt flow monitoring timing information; obtain the luminous reaction cup injection mold cavity melt inflow position monitoring timing information; perform melt flow abnormality analysis to obtain the first melt flow abnormality coefficient; perform melt inflow position abnormality analysis according to the first luminous reaction cup injection mold cavity melt inflow position monitoring timing information, the second luminous reaction cup injection mold cavity melt inflow position monitoring timing information until the Nth luminous reaction cup injection mold cavity melt inflow position monitoring timing information, and obtain the first melt inflow position abnormality coefficient; When the first melt flow rate abnormality coefficient is less than or equal to the melt flow rate abnormality coefficient threshold, and the first melt inflow position abnormality coefficient is less than or equal to the melt inflow position abnormality coefficient threshold, the timer is reset to zero, and the process execution cycle is returned to the start, thereby achieving the technical effect of improving the efficiency of abnormality detection in the injection molding process, thereby improving the production quality and stability of the luminous reaction cup. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of a multi-cavity injection molding method for producing a luminous reaction cup provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a multi-cavity injection molding device for producing luminous reaction cups provided in an embodiment of the present application.

[0011] Description of the reference numerals: flow rate monitoring timing information acquisition module 10 , inflow position monitoring timing information acquisition module 20 , melt flow rate abnormality coefficient acquisition module 30 , melt inflow position abnormality coefficient acquisition module 40 , execution cycle module 50 . DETAILED DESCRIPTION

[0012] The present application provides a multi-cavity injection molding method and device for the production of luminous reaction cups, which is used to solve the technical problem that it is difficult to quickly and accurately judge abnormal situations by analyzing the differences between each mold cavity and cannot meet the technical problem of rapid verification requirements in the prior art.

[0013] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0014] Embodiment 1, as Figure 1 As shown, the present application provides a multi-cavity injection molding method for producing a luminous reaction cup, the method comprising: Step S100: When the luminous reaction cup injection molding machine is started, the timer is started. When the preset time is met, it interacts with the luminous reaction cup injection molding machine to obtain the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity, and so on until the melt flow monitoring timing information of the Nth luminous reaction cup injection mold cavity.

[0015] Specifically, when the luminous reaction cup injection molding machine is started, the timer is triggered to start the timing operation. The preset duration is a specific time value set based on the melt flow characteristics and multi-cavity injection molding process requirements during the luminous reaction cup injection molding process. When the time recorded by the timer reaches the preset duration, a data interaction channel is established between the multi-cavity injection molding device and the luminous reaction cup injection molding machine. This interaction process is based on a specific data transmission protocol and communication interface to ensure the accuracy and integrity of the data. The melt flow monitoring timing information of the first luminous reaction cup injection molding cavity obtained from the injection molding machine is a quantitative record of the melt flow in the cavity under a continuous time series, and its data acquisition frequency and accuracy are determined according to the accuracy requirements of the injection molding process and the performance of the sensor used. Similarly, for the second luminous reaction cup injection molding cavity to the Nth luminous reaction cup injection molding cavity, the respective melt flow monitoring timing information is obtained according to the same high-precision data acquisition standard and time series recording method. This information constitutes a key data set for subsequent analysis of whether the melt flow is normal during the injection molding process, and provides original data support for the entire multi-cavity injection molding quality monitoring and fault diagnosis.

[0016] Step S200: obtaining the monitoring timing information of the melt inflow position of the first luminescent reaction cup injection mold cavity, the monitoring timing information of the melt inflow position of the second luminescent reaction cup injection mold cavity, and so on until the monitoring timing information of the melt inflow position of the Nth luminescent reaction cup injection mold cavity.

[0017] Specifically, in the multi-cavity injection molding process of the production of luminous reaction cups, for the first luminous reaction cup injection mold cavity, the melt inflow position monitoring timing information is obtained through specific monitoring means and data acquisition equipment. This information is a data sequence obtained by recording the starting position of the melt flowing into the mold cavity in chronological order during the injection molding process. Then, the melt inflow position monitoring timing information of the second luminous reaction cup injection mold cavity is obtained in the same way. This process needs to ensure the accuracy of the monitoring equipment and the consistency of data acquisition to ensure that the acquired data can truly reflect the changes in the inflow position of the melt in the mold cavity. Repeat the operation until the melt inflow position monitoring timing information of the Nth luminous reaction cup injection mold cavity is obtained. These melt inflow position monitoring timing information from the first to the Nth mold cavity together constitute a complete data set, which provides basic data for the subsequent melt inflow position abnormality analysis, and helps to determine whether there is an abnormality in the melt inflow position during the injection molding process, thereby ensuring the production quality of the luminous reaction cup.

[0018] Step S300: performing melt flow anomaly analysis according to the first luminescent reaction cup injection mold cavity melt flow monitoring timing information, the second luminescent reaction cup injection mold cavity melt flow monitoring timing information, and up to the Nth luminescent reaction cup injection mold cavity melt flow monitoring timing information to obtain a first melt flow anomaly coefficient.

[0019] Specifically, the collected melt flow monitoring time series information from the first luminous reaction cup injection cavity to the Nth luminous reaction cup injection cavity is the basic data for analysis. These data record in detail the melt flow conditions of each cavity at different time points during the injection molding process. Then, based on these data, melt flow anomaly analysis is performed. First, these time series information are divided according to different moments, and the first moment melt flow monitoring value set, the second moment melt flow monitoring value set, and the Mth moment melt flow monitoring value set are extracted. For each moment monitoring value set, its variance is calculated. The first moment melt flow variance of the first moment melt flow monitoring value set, the second moment melt flow variance of the second moment melt flow monitoring value set, and so on are calculated until the Mth moment melt flow variance of the Mth moment melt flow monitoring value set is calculated. Finally, the proportion of moments when these variances are greater than or equal to the melt flow variance threshold is counted. This proportion is the first melt flow anomaly coefficient obtained, which can quantitatively reflect the degree of abnormal fluctuation of the melt flow in the entire injection molding process, providing a key basis for subsequent judgment of whether the injection molding process is normal and taking corresponding measures.

[0020] Step S400: performing melt inflow position abnormality analysis based on the first luminescent reaction cup injection cavity melt inflow position monitoring timing information, the second luminescent reaction cup injection cavity melt inflow position monitoring timing information, and up to the Nth luminescent reaction cup injection cavity melt inflow position monitoring timing information to obtain a first melt inflow position abnormality coefficient.

[0021] Specifically, the melt inflow position monitoring time series information of each injection cavity is analyzed to obtain the abnormal situation index of the melt inflow position. First, it is based on the melt inflow position monitoring time series information from the first luminous reaction cup injection cavity to the Nth luminous reaction cup injection cavity. This information records in detail the inflow position of the melt in each cavity at different time points during the injection molding process. Extract relevant data from these time series information at different times, extract the melt inflow position monitoring value set at the first moment, the melt inflow position monitoring value set at the second moment until the melt inflow position monitoring value set at the Mth moment. For the melt inflow position monitoring value set extracted at each moment, the position distance of adjacent cavities is calculated. For example, the melt inflow position monitoring value set at the first moment is calculated to obtain the melt inflow position distance set at the first moment, the melt inflow position monitoring value set at the second moment is calculated to obtain the melt inflow position distance set at the second moment, and so on until the melt inflow position distance set at the Mth moment is obtained. Then, the variance of the melt inflow position distance set at each moment is calculated. That is, the variance of the melt inflow position distance at the first moment of the melt inflow position distance set at the first moment is calculated, and the variance of the melt inflow position distance at the second moment of the melt inflow position distance set at the second moment is calculated, until the variance of the melt inflow position distance at the Mth moment of the melt inflow position distance set at the Mth moment is calculated. Finally, the proportion of moments greater than or equal to the variance threshold of the melt inflow position distance in these variances is counted, and it is defined as the first melt inflow position abnormality coefficient, which can quantitatively reflect the degree of abnormality of the melt inflow position in the entire injection molding process, and provides an important basis for subsequent judgment of whether the injection molding process is normal and taking corresponding measures.

[0022] Step S500: When the first melt flow rate abnormality coefficient is less than or equal to the melt flow rate abnormality coefficient threshold, and the first melt inflow position abnormality coefficient is less than or equal to the melt inflow position abnormality coefficient threshold, the timer is reset to zero and the process execution loop is returned to the start.

[0023] Specifically, the first melt flow rate anomaly coefficient is compared with the melt flow rate anomaly coefficient threshold, and the first melt inflow position anomaly coefficient is compared with the melt inflow position anomaly coefficient threshold, and these two comparison processes are performed simultaneously and independently. When the first melt flow rate anomaly coefficient is less than or equal to the melt flow rate anomaly coefficient threshold, it means that the performance of the current injection molding process is within a normal or acceptable range in terms of melt flow. Similarly, when the first melt inflow position anomaly coefficient is less than or equal to the melt inflow position anomaly coefficient threshold, it means that the injection molding process also meets the requirements in terms of the melt inflow position. Only when these two conditions are met at the same time, that is, the first melt flow rate anomaly coefficient and the first melt inflow position anomaly coefficient are both within their respective threshold ranges, will subsequent operations be performed. At this point, the timer is reset and its value is reset to zero. The purpose of this step is to restart the monitoring timing of the injection molding process so that the entire injection molding process can be continuously monitored, and the above-mentioned analysis process can be cyclically performed to ensure the stability of the injection molding process and the consistency of product quality. After the timer is reset to zero, the entire process will return to the starting process and execute the cycle again. This means that a series of operations from the initial start-up of the injection molding machine, the start-up of the timer, to the subsequent acquisition of various monitoring information and analysis and judgment will all start again to continuously ensure the normal operation of the injection molding process and the reliability of product quality.

[0024] In a possible implementation, step S500 further includes: Step S510: When the first melt flow abnormality coefficient is greater than the melt flow abnormality coefficient threshold, an abnormal cavity analysis is performed on the melt flow according to the melt flow monitoring timing information of the first luminous reaction cup injection cavity, the melt flow monitoring timing information of the second luminous reaction cup injection cavity, and up to the melt flow monitoring timing information of the Nth luminous reaction cup injection cavity to obtain a cavity with abnormal melt flow.

[0025] Step S520: When the first melt inflow position abnormality coefficient is greater than the melt inflow position abnormality coefficient threshold, abnormal cavity analysis is performed according to the melt inflow position monitoring timing information of the first luminous reaction cup injection cavity, the melt inflow position monitoring timing information of the second luminous reaction cup injection cavity, and up to the melt inflow position monitoring timing information of the Nth luminous reaction cup injection cavity, to obtain a cavity with an abnormal melt inflow position.

[0026] Step S530: sending the mold cavity with abnormal melt flow rate and the mold cavity with abnormal melt inflow position to the control end of the luminous reaction cup injection molding machine.

[0027] Specifically, when the first melt flow anomaly coefficient is greater than the melt flow anomaly coefficient threshold, it is necessary to perform an abnormal cavity analysis on the melt flow to determine the specific abnormal cavity. At this time, the analysis is carried out based on the melt flow monitoring timing information from the first luminous reaction cup injection cavity to the Nth luminous reaction cup injection cavity. First, starting from k=1, these cavities are subjected to k cavity combination enumeration abnormal analysis. Each time, k cavities are randomly selected without replacement for enumeration and combination to obtain the first combination cavity until the Qth combination cavity. Then these combination cavities are traversed, and for each combination cavity, the corresponding melt flow monitoring timing information is deleted from the original data and then the melt flow anomaly analysis is performed to obtain the second melt flow anomaly coefficient. If the second melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, the combination cavity is added to the first melt flow anomaly cavity analysis result. If the second melt flow anomaly coefficient is greater than the melt flow anomaly coefficient threshold, the next combination cavity is analyzed. When the analysis result of the first melt flow abnormal cavity is not empty, it is set as a melt flow abnormal cavity.

[0028] When the first melt inflow position abnormality coefficient is greater than the melt inflow position abnormality coefficient threshold, it indicates that the melt inflow position is abnormal, and it is necessary to further determine which cavities have problems. First, the melt inflow position monitoring time series information from the first luminous reaction cup injection cavity to the Nth luminous reaction cup injection cavity is analyzed. Similar to the idea of ​​analyzing the abnormal cavity with melt flow, a step-by-step investigation method is adopted. For example, the abnormal cavity is determined by investigating different combinations of cavities, starting from a smaller number of cavity combinations, and a certain number of cavities (assuming k, k starts from a certain initial value, such as 1, and gradually increases) are randomly selected without replacement each time for combined analysis. For each combined cavity, the corresponding melt inflow position monitoring time series information is extracted from the original data for specific analysis. The analysis process involves operations such as comparing the melt inflow position data of these combined cavities with each other and comparing them with normal standards. In this process, if the analysis result of a combined cavity shows that its melt inflow position is abnormal and meets the conditions for determining an abnormal cavity, then the combined cavity is determined as a possible abnormal melt inflow position cavity. By continuously performing such analysis on different combinations of cavities, all eligible cavities with abnormal melt inflow positions are eventually identified and defined as cavities with abnormal melt inflow positions, so that corresponding measures can be taken for these abnormal cavities to solve the problems and ensure the production quality of the luminous reaction cups.

[0029] After determining the abnormal mold cavity with melt flow rate and the abnormal mold cavity with melt flow position, the information of these two abnormal mold cavities is sent to the control end of the luminous reaction cup injection molding machine. In this way, the control end of the injection molding machine can take corresponding measures according to the received abnormal mold cavity information, such as inspecting, repairing or adjusting the injection molding parameters of the abnormal mold cavity, so as to ensure the production quality of the luminous reaction cup.

[0030] In a possible implementation, step S300 further includes: Step S310: Extract the melt flow monitoring value set at the first moment, the melt flow monitoring value set at the second moment, and the melt flow monitoring value set at the Mth moment based on the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity, and the melt flow monitoring timing information of the Nth luminous reaction cup injection mold cavity.

[0031] Step S320: Calculate the first moment melt flow variance of the first moment melt flow monitoring value set, the second moment melt flow variance of the second moment melt flow monitoring value set, and so on until the Mth moment melt flow variance of the Mth moment melt flow monitoring value set.

[0032] Step S330: Counting the melt flow variance at the first moment, the melt flow variance at the second moment, and the proportion of the moments in which the melt flow variance is greater than or equal to the melt flow variance threshold value until the Mth moment, and setting it as the first melt flow anomaly coefficient.

[0033] Specifically, a set of monitoring values ​​at different times is extracted from the melt flow monitoring timing information of each injection cavity. First, the melt flow monitoring timing information from the first luminous reaction cup injection cavity to the Nth luminous reaction cup injection cavity is recorded in chronological order during the injection molding process, covering the melt flow conditions of each cavity at different time points. Then, according to the specific moments, the melt flow monitoring value set at the first moment is extracted respectively. This set contains the melt flow monitoring values ​​of all cavities at the first moment; then the melt flow monitoring value set at the second moment is extracted, which also covers the monitoring values ​​of all cavities at this moment; and so on, until the melt flow monitoring value set at the Mth moment is extracted. Through such extraction operations, a series of melt flow monitoring value sets divided by time are obtained, which provides basic data for subsequent analysis.

[0034] For the set of melt flow monitoring values ​​at the first moment, the variance calculation method is used. The variance is a statistic that measures the degree of discreteness of a set of data. First, the difference between each data in the set and the average value is calculated, and then the squares of these differences are added and divided by the number of data. The result is the variance of the melt flow at the first moment. This variance can reflect the discreteness of the melt flow of each injection mold cavity relative to the average flow at the first moment, that is, the degree of fluctuation. Then, the same operation is performed on the set of melt flow monitoring values ​​at the second moment to calculate the variance of the melt flow at the second moment, which reflects the fluctuation characteristics of the melt flow of each cavity at the second moment. In this way, it can be understood how the stability of the melt flow changes at different moments. By analogy, for the set of melt flow monitoring values ​​at the Mth moment, the above variance calculation method is also used to calculate the variance of the melt flow at the Mth moment. These variance values ​​at different moments provide an important basis for the subsequent judgment of whether the melt flow is abnormal and the analysis of the degree of abnormality, which helps to more accurately grasp the dynamic changes of the melt flow during the injection molding process.

[0035] The goal is to determine an indicator that can quantify the degree of melt flow anomaly, namely the first melt flow anomaly coefficient. First, the melt flow variance from the first moment to the Mth moment has been obtained. These variances reflect the degree of discreteness of the melt flow of all injection mold cavities at each corresponding moment. Next, the melt flow variance at each moment is compared with the pre-set melt flow variance threshold, which is set based on the empirical or theoretical understanding of the range of melt flow fluctuations in the normal injection molding process. Then, the number of moments in which the melt flow variance is greater than or equal to the threshold is counted. For example, if there are 3 moments with a variance greater than or equal to the threshold, and there are a total of M moments, then the proportion of moments greater than or equal to the threshold is 3 / M. Finally, this proportion is set as the first melt flow anomaly coefficient. The higher the value of this coefficient, the higher the frequency of abnormal fluctuations in the melt flow during the entire injection molding process, which means that there may be problems with the melt flow in the injection molding process, which requires further inspection and analysis. On the contrary, if the coefficient is low, it means that the melt flow is in a relatively stable state at most times, which is in line with the expectations of normal production.

[0036] In a possible implementation, step S400 further includes: Step S410: Extract the melt inflow position monitoring value set at the first moment, the melt inflow position monitoring value set at the second moment, and the melt inflow position monitoring value set at the Mth moment based on the melt inflow position monitoring timing information of the first luminescent reaction cup injection cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection cavity, and the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection cavity.

[0037] Step S420: Calculate the position distances of adjacent mold cavities for the set of melt inflow position monitoring values ​​at the first moment to obtain the melt inflow position distance set at the first moment; calculate the position distances of adjacent mold cavities for the set of melt inflow position monitoring values ​​at the second moment to obtain the melt inflow position distance set at the second moment, until calculating the position distances of adjacent mold cavities for the set of melt inflow position monitoring values ​​at the Mth moment to obtain the melt inflow position distance set at the Mth moment.

[0038] Step S430: calculating the first moment melt inflow position distance variance of the first moment melt inflow position distance set, calculating the second moment melt inflow position distance variance of the second moment melt inflow position distance set, until calculating the Mth moment melt inflow position distance variance of the Mth moment melt inflow position distance set.

[0039] Step S440: Count the proportion of the variance of the melt inflow position distance at the first moment, the variance of the melt inflow position distance at the second moment, and the variance of the melt inflow position distance at the Mth moment that is greater than or equal to the melt inflow position distance variance threshold, and set it as the first melt inflow position abnormality coefficient.

[0040] Specifically, the melt inflow position monitoring timing information obtained from each injection cavity is used for data extraction. First, there is the melt inflow position monitoring timing information of the first luminescent reaction cup injection cavity, which records in detail the changes of the melt inflow position of the cavity over time during the injection process. Similarly, there is the melt inflow position monitoring timing information of the second luminescent reaction cup injection cavity until the Nth luminescent reaction cup injection cavity. Then, for these timing information, they are divided according to specific moments, and at each moment, the melt inflow position monitoring values ​​of all cavities are extracted to form a set. For example, at the first moment, the melt inflow position monitoring value of each cavity at the first moment is extracted from the melt inflow position monitoring timing information from the first luminescent reaction cup injection cavity to the Nth luminescent reaction cup injection cavity, and these values ​​constitute the melt inflow position monitoring value set at the first moment. According to the same method, extraction is performed at the second moment to obtain the melt inflow position monitoring value set at the second moment, and this process continues until the melt inflow position monitoring value set at the Mth moment is extracted at the Mth moment. Through such operations, a series of melt inflow position monitoring value sets divided by time are extracted from a large amount of time series information. These sets will serve as the basic data for subsequent analysis to further understand the changing pattern of the melt inflow position in the injection mold cavity and whether there are any abnormal conditions.

[0041] For the set of monitoring values ​​of the melt inflow position at the first moment, starting from the first cavity, the distance between the first cavity and the second cavity is calculated and the absolute value is taken; the distance between the middle cavity (the 2nd to the N-1th) and the adjacent cavities before and after is calculated and the absolute value is taken; the distance between the Nth cavity and the N-1th cavity is calculated and the absolute value is taken to obtain the set of melt inflow position distances at the first moment. In the same way, the set of monitoring values ​​of the melt inflow position at the second moment is operated to obtain the set of melt inflow position distances at the second moment, and so on, until the set of monitoring values ​​of the melt inflow position at the Mth moment is calculated to obtain the set of melt inflow position distances at the Mth moment.

[0042] For the melt inflow position distance set at the first moment: first calculate the average value of all distance values ​​in the set. Then subtract the average value from each distance value in the set, and then square the difference. Finally, add these squared differences and divide them by the number of distance values ​​to get the variance of the melt inflow position distance at the first moment. For the melt inflow position distance set at the second moment: also calculate the average value first, subtract the average value from each distance value and then square it, add them and divide them by the number to get the variance of the melt inflow position distance at the second moment. For the melt inflow position distance set at the Mth moment: repeat the above process, first calculate the average value, then calculate the sum of squares of the differences, and divide it by the number to get the variance of the melt inflow position distance at the Mth moment.

[0043] By comparing the variance of the melt inflow position distance at each moment with the threshold, a coefficient that can reflect the degree of abnormality of the melt inflow position is determined, namely, the first melt inflow position abnormality coefficient. First, the variance of the melt inflow position distance from the first moment to the Mth moment has been obtained. These variances represent the discrete degree of the distance between the adjacent cavity positions at different moments. The variance of the melt inflow position distance at each moment is compared one by one with the preset melt inflow position distance variance threshold. This threshold is determined according to the normal range of melt inflow position changes during the injection molding process and is a standard value for judging whether it is abnormal. In the comparison process, the moments greater than or equal to the threshold are counted. For example, if the variance of the melt inflow position distance at the first moment is greater than or equal to the threshold, it is recorded once; if the second moment also meets the conditions, it is recorded again, and so on, until the Mth moment. Finally, the number of moments that meet the conditions is counted, and the proportion of them to the total number of moments (i.e., M) is calculated. This proportion is the defined first melt inflow position abnormality coefficient. If this coefficient is high, it means that during the injection molding process, the melt inflow position fluctuates greatly and the frequency of abnormalities is high, which requires further inspection and adjustment of the injection molding process; if the coefficient is low, it means that the melt inflow position is in a relatively stable state most of the time, which meets the requirements of normal production.

[0044] In a possible implementation, step S510 further includes: Step 1: Perform abnormal analysis on k cavity combinations based on the melt flow monitoring timing information of the first luminous reaction cup injection cavity, the melt flow monitoring timing information of the second luminous reaction cup injection cavity, and so on until the melt flow monitoring timing information of the Nth luminous reaction cup injection cavity to obtain the analysis result of the first melt flow abnormal cavity, where the initial value of k is 1 and k is an integer.

[0045] Step 2: When the first melt flow abnormal cavity analysis result is empty and k<N, update the k value by k+1 and return to step 1 to execute the loop.

[0046] Step three: when the first analysis result of the mold cavity with abnormal melt flow rate is not empty, the first analysis result of the mold cavity with abnormal melt flow rate is set as the mold cavity with abnormal melt flow rate.

[0047] Specifically, the abnormal analysis of the cavity combination is carried out based on the melt flow monitoring time series information from the first luminous reaction cup injection cavity to the Nth luminous reaction cup injection cavity to obtain the analysis result of the first melt flow abnormal cavity. The specific process is as follows: First, the initial value of k is set to 1, which means that the analysis starts from selecting one cavity each time. For each cavity, there is its corresponding melt flow monitoring time series information. When k=1, the melt flow monitoring time series information of each cavity is examined separately and compared with the normal melt flow mode or standard. This comparison involves considerations of the numerical value, change trend, fluctuation frequency, etc. of the flow. By calculating the mean and standard deviation, the normal flow range is determined according to experience or pre-set standards. The normal flow range is set as the standard deviation of the average flow value plus or minus a certain multiple, and it is judged whether the flow at each time point is abnormal. If the flow value at a certain time point is not within the normal flow range, the time point is marked as abnormal. Calculate the proportion of the number of abnormal time points to the total number of time points. If the ratio is greater than a preset threshold (this threshold is also determined based on actual conditions), the cavity is preliminarily determined to be an abnormal cavity and is added to the first melt flow abnormal cavity analysis result set. After the above analysis is completed for all cavities, the first melt flow abnormal cavity analysis result when k=1 is obtained. This result contains the information of the cavity determined to be abnormal, and may also be an empty set, indicating that no abnormal cavity that meets the conditions is found under the current k value.

[0048] When performing the analysis of the abnormal melt flow cavity, the first melt flow abnormal cavity analysis result is obtained from step one. When this result is empty, it means that under the current analysis conditions (that is, k cavities are selected for analysis each time), no abnormal cavity combination is found. At the same time, it is necessary to check whether the value of k is less than N. Here N represents the total number of cavities. If k < N, it means that there are more cavity combinations that have not been analyzed. In this case, the value of k is updated by k+1, which means that the number of cavities selected each time will be increased in order to more comprehensively analyze the situations of different cavity combinations. After updating the k value, return to step one and perform the k cavity combination enumeration abnormal analysis again according to the new k value. This process will continue to loop until an abnormal cavity combination is found (that is, the first melt flow abnormal cavity analysis result is not empty), or all possible cavity combinations have been analyzed (that is, k≥N).

[0049] During the entire melt flow abnormal cavity analysis process, look for cavity combinations that may have abnormalities. First, from step one, analyze according to a specific method to obtain the first melt flow abnormal cavity analysis result. When this result is not empty, it means that some cavity combinations that meet specific abnormality judgment criteria have been found. At this time, directly set the first melt flow abnormal cavity analysis result as the melt flow abnormal cavity. The information of these cavities determined as melt flow abnormal cavities will be used for subsequent operations, and the relevant information of these abnormal cavities will be sent to the control end of the luminous reaction cup injection molding machine so that the operator or control system can take corresponding measures, such as further inspection, maintenance or adjustment of injection molding parameters of these abnormal cavities, so as to ensure the injection molding quality of the luminous reaction cup.

[0050] In a possible implementation, step S510 further includes: Step S511: For the first luminescent reaction cup injection mold cavity, the second luminescent reaction cup injection mold cavity, and so on until the Nth luminescent reaction cup injection mold cavity, k mold cavities are randomly selected without replacement each time for enumeration and combination to obtain the first combined mold cavity until the Qth combined mold cavity.

[0051] Step S512: traverse the first combined mold cavities until the Qth combined mold cavity to perform mold cavity abnormality analysis to obtain the first melt flow abnormality mold cavity analysis result.

[0052] Specifically, a specific number of cavity combinations are selected from all injection cavities, starting from the first luminescent reaction cup injection cavity and continuing to the Nth luminescent reaction cup injection cavity. For each selection, a rule is set to randomly select k cavities without replacement, where k is a pre-set integer and the initial value of k is 1 (k will change according to the situation during the entire analysis process). When k=1, each cavity is selected in turn as a separate combination, so that N combinations are obtained, which are marked as the first combination cavity (it may be the first luminescent reaction cup injection cavity as a single combination) until the Qth combination cavity (here Q=N, because each cavity is a single combination). As the value of k increases, if k=2, 2 cavities are randomly selected from the N cavities without replacement as a combination. For example, the first luminescent reaction cup injection cavity and the second luminescent reaction cup injection cavity may be selected as a combination, or the first luminescent reaction cup injection cavity and the third luminescent reaction cup injection cavity may be selected as a combination, and so on. In this way, a series of combinations will be obtained, the number will be less than when k=1, but each combination contains 2 cavities. This process will continue until k reaches a certain upper limit (usually determined by actual conditions and analysis requirements), and finally all possible combinations from the first combination cavity to the Qth combination cavity are obtained.

[0053] After obtaining the combination mold cavities from the first to the Qth combination mold cavities, it is necessary to perform mold cavity abnormality analysis on each combination. For each combination mold cavity (from the first combination mold cavity to the Qth combination mold cavity), perform the following operations: First, obtain the melt flow monitoring timing information corresponding to the combination mold cavity. For example, if the first combination mold cavity contains the first luminous reaction cup injection mold cavity and the second luminous reaction cup injection mold cavity, then obtain the melt flow monitoring timing information corresponding to these two mold cavities. Then, the melt flow monitoring timing information corresponding to these combination mold cavities is deleted from the melt flow monitoring timing information of all mold cavities (i.e., the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity until the melt flow monitoring timing information of the Nth luminous reaction cup injection mold cavity). Next, the remaining melt flow monitoring time series information is analyzed for melt flow anomaly. This analysis process is similar to the melt flow anomaly analysis method previously performed on all cavities, that is, extracting the set of melt flow monitoring values ​​at relevant moments, calculating the variance, and statistically calculating the proportion of moments when the variance is greater than or equal to the melt flow variance threshold, to obtain a second melt flow anomaly coefficient. Finally, the second melt flow anomaly coefficient is used to determine whether the combined cavity is abnormal. If the second melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, then the combined cavity is considered normal (or no anomaly is found in the current analysis); if the second melt flow anomaly coefficient is greater than the melt flow anomaly coefficient threshold, then the combined cavity is considered abnormal and is added to the analysis results of the first melt flow anomaly cavity. By performing such an analysis on all the combined cavities from the first to the Qth combined cavity, a complete analysis result of the first melt flow anomaly cavity is finally obtained.

[0054] In a possible implementation, step S512 further includes: Step a: Delete the melt flow monitoring timing information corresponding to the i-th combined mold cavity from the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity to the melt flow monitoring timing information of the N-th luminous reaction cup injection mold cavity, and perform melt flow abnormality analysis to obtain a second melt flow abnormality coefficient, wherein the initial value of i is equal to 1, i is an integer, Q≥i≥1, and the i-th combined mold cavity belongs to the first combined mold cavity to the Q-th combined mold cavity.

[0055] Step b: When the second melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, add the i-th combined cavity to the first melt flow anomaly cavity analysis result, and i<Q, update the i value by i+1, and return to step a to execute the loop.

[0056] Step c: When the second melt flow abnormality coefficient is greater than the melt flow abnormality coefficient threshold, and i<Q, update the i value by i+1, and return to step a to execute the loop.

[0057] Step d: When i≥Q, output the first melt flow abnormal cavity analysis result.

[0058] Specifically, first, it is clear that the i-th combined cavity is to be processed, where the initial value of i is 1 and is an integer, and Q≥i≥1 is satisfied, and the i-th combined cavity is one of the first combined cavity to the Q-th combined cavity. For this i-th combined cavity, it corresponds to a specific melt flow monitoring timing information, and it is necessary to extract and delete the part of the information corresponding to the i-th combined cavity from the melt flow monitoring timing information of all cavities (from the first luminous reaction cup injection cavity to the N-th luminous reaction cup injection cavity). After the deletion operation is completed, the melt flow abnormality analysis is performed based on the remaining melt flow monitoring timing information. The analysis process is as follows: Extract data: From the remaining information, extract the melt flow monitoring value set at different times according to the previous method. Extract the melt flow monitoring value set at the first moment, the melt flow monitoring value set at the second moment, and the melt flow monitoring value set at the Mth moment. For the set of melt flow monitoring values ​​extracted at each moment, calculate its variance, such as calculating the variance of the melt flow monitoring value set at the first moment, the variance at the second moment, and the variance at the Mth moment. Count the proportion of moments that are greater than or equal to the melt flow variance threshold among these variances, and set this proportion as the second melt flow anomaly coefficient. Through the above steps, the second melt flow anomaly coefficient obtained by analyzing the i-th combined mold cavity after deleting its relevant information is obtained. This coefficient will be used as the basis for subsequent judgment of whether the i-th combined mold cavity is abnormal.

[0059] The obtained second melt flow anomaly coefficient is judged. When the second melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, it means that the i-th combined cavity currently analyzed meets the normal melt flow characteristics to some extent, or its impact on the overall melt flow anomaly is small. At this time, the i-th combined cavity is added to the analysis result of the first melt flow anomaly cavity. This analysis result is a set used to record the cavity combination information that is considered to have possible abnormal conditions during the entire analysis process. Next, it is necessary to check whether the value of i is less than Q. Here, Q is an upper limit value related to the number of combined cavities, satisfying Q≥i≥1, which determines the range of combined cavities that need to be analyzed. If i<Q, it means that there are other combined cavities that have not been analyzed. In this case, the value of i is updated by i+1 to enter the analysis of the next combined cavity. Finally, return to step a and repeat the previous operation for the combined mold cavity corresponding to the new i value, that is, first delete the corresponding melt flow monitoring timing information, then perform melt flow anomaly analysis, obtain a new second melt flow anomaly coefficient, and then make corresponding judgments and operations based on this coefficient. This forms a loop until all possible combined mold cavities have been analyzed.

[0060] The obtained second melt flow anomaly coefficient is judged. When the second melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, it means that the i-th combined cavity currently analyzed meets the normal melt flow characteristics to some extent, or its influence on the overall melt flow anomaly is small. At this time, the i-th combined cavity is added to the analysis result of the first melt flow anomaly cavity. This analysis result is a set used to record the cavity combination information that is considered to have an abnormal situation during the entire analysis process. Next, it is necessary to check whether the value of i is less than Q. Here, Q is an upper limit value related to the number of combined cavities, satisfying Q≥i≥1, which determines the range of combined cavities to be analyzed. If i<Q, it means that there are other combined cavities that have not been analyzed. In this case, the value of i is updated by i+1 to enter the analysis of the next combined cavity. Finally, return to step a and repeat the previous operation for the combined cavity corresponding to the new i value, that is, first delete the corresponding melt flow monitoring timing information, then perform melt flow anomaly analysis, obtain a new second melt flow anomaly coefficient, and then perform corresponding judgments and operations based on this coefficient. This forms a cycle until all possible combinations of cavities have been analyzed.

[0061] The first combination cavity to the Qth combination cavity are analyzed one by one. i is an index value used to identify the combination cavity currently being analyzed. It starts from 1 and increases by 1 each time until i≥Q. When the value of i reaches or exceeds Q, it means that the processing of all the combination cavities that need to be analyzed has been completed. At this time, the analysis result of the first melt flow abnormal cavity needs to be output. This analysis result is gradually constructed in the previous steps. When analyzing each combination cavity, if certain conditions are met (such as the second melt flow abnormal coefficient is less than or equal to the melt flow abnormal coefficient threshold), the corresponding combination cavity will be added to this analysis result. The output first melt flow abnormal cavity analysis result will contain the information of those combination cavities that are judged to be abnormal during the entire analysis process. For example, the injection molding process is adjusted according to the information of these abnormal cavities, or these cavities are further checked to see if there are actual problems, so as to ensure the injection molding quality of the luminous reaction cup.

[0062] Embodiment 2 is based on the same inventive concept as the multi-cavity injection molding method for producing a luminous reaction cup in the above embodiment. Figure 2 As shown, the present application provides a multi-cavity injection molding device for producing luminous reaction cups, and the device and method embodiments in the present application are based on the same inventive concept. The device includes: The flow monitoring timing information acquisition module 10 is used to start the timer when the luminous reaction cup injection molding machine is started, and when the preset time is met, interact with the luminous reaction cup injection molding machine to obtain the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity, and so on until the melt flow monitoring timing information of the Nth luminous reaction cup injection mold cavity.

[0063] The inflow position monitoring timing information acquisition module 20 is used to obtain the melt inflow position monitoring timing information of the first luminescent reaction cup injection mold cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection mold cavity, and so on until the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection mold cavity.

[0064] The melt flow anomaly coefficient acquisition module 30 is used to perform melt flow anomaly analysis based on the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity, and up to the melt flow monitoring timing information of the Nth luminous reaction cup injection mold cavity to obtain the first melt flow anomaly coefficient.

[0065] The melt inflow position abnormality coefficient acquisition module 40 is used to perform melt inflow position abnormality analysis based on the melt inflow position monitoring timing information of the first luminescent reaction cup injection cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection cavity, and up to the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection cavity, to obtain the first melt inflow position abnormality coefficient.

[0066] The execution loop module 50 is used to reset the timer to zero and return to the start process execution loop when the first melt flow abnormality coefficient is less than or equal to the melt flow abnormality coefficient threshold and the first melt inflow position abnormality coefficient is less than or equal to the melt inflow position abnormality coefficient threshold.

[0067] Furthermore, the execution cycle module 50 also includes: The melt flow abnormal cavity acquisition unit is used to perform abnormal cavity analysis on the melt flow when the first melt flow abnormality coefficient is greater than the melt flow abnormality coefficient threshold, according to the melt flow monitoring timing information of the first luminous reaction cup injection cavity, the melt flow monitoring timing information of the second luminous reaction cup injection cavity, and up to the melt flow monitoring timing information of the Nth luminous reaction cup injection cavity, to obtain the melt flow abnormal cavity.

[0068] A unit for acquiring a mold cavity with abnormal melt inflow position, wherein the unit is used to, when the first melt inflow position abnormality coefficient is greater than the melt inflow position abnormality coefficient threshold, perform abnormal mold cavity analysis according to the melt inflow position monitoring timing information of the first luminescent reaction cup injection mold cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection mold cavity, and up to the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection mold cavity, to obtain a mold cavity with abnormal melt inflow position.

[0069] A mold cavity sending unit is used to send the mold cavity with abnormal melt flow rate and the mold cavity with abnormal melt inflow position to the control end of the luminous reaction cup injection molding machine.

[0070] Furthermore, the melt flow anomaly coefficient acquisition module 30 also includes: A melt flow monitoring value set extraction unit, the melt flow monitoring value set extraction unit is used to extract the melt flow monitoring value set at the first moment, the melt flow monitoring value set at the second moment, and the melt flow monitoring value set at the Mth moment according to the melt flow monitoring timing information of the first luminescent reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminescent reaction cup injection mold cavity, and the melt flow monitoring timing information of the Nth luminescent reaction cup injection mold cavity.

[0071] A melt flow variance calculation unit, the melt flow variance calculation unit is used to calculate the first moment melt flow variance of the melt flow monitoring value set at the first moment, the second moment melt flow variance of the melt flow monitoring value set at the second moment, and so on until the Mth moment melt flow variance of the melt flow monitoring value set at the Mth moment.

[0072] The melt flow anomaly coefficient setting unit is used to count the proportion of the melt flow variance at the first moment, the melt flow variance at the second moment, and the melt flow variance at the Mth moment that is greater than or equal to the melt flow variance threshold, and set it as the first melt flow anomaly coefficient.

[0073] Furthermore, the melt inflow position abnormal coefficient acquisition module 40 also includes: A melt inflow position monitoring value set extraction unit, the melt inflow position monitoring value set extraction unit is used to extract the melt inflow position monitoring value set at the first moment, the melt inflow position monitoring value set at the second moment, and the melt inflow position monitoring value set at the Mth moment according to the melt inflow position monitoring timing information of the first luminescent reaction cup injection cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection cavity, and the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection cavity.

[0074] A melt inflow position distance set acquisition unit, wherein the melt inflow position distance set is used to calculate the adjacent mold cavity position distances for the melt inflow position monitoring value set at the first moment to obtain the melt inflow position distance set at the first moment, and to calculate the adjacent mold cavity position distances for the melt inflow position monitoring value set at the second moment to obtain the melt inflow position distance set at the second moment, until the adjacent mold cavity position distances are calculated for the melt inflow position monitoring value set at the Mth moment to obtain the melt inflow position distance set at the Mth moment.

[0075] A melt inflow position distance variance calculation unit, the melt inflow position distance variance calculation unit is used to calculate the first moment melt inflow position distance variance of the first moment melt inflow position distance set, calculate the second moment melt inflow position distance variance of the second moment melt inflow position distance set, until calculating the Mth moment melt inflow position distance variance of the Mth moment melt inflow position distance set.

[0076] A melt inflow position abnormality coefficient setting unit, the melt inflow position abnormality coefficient setting unit is used to count the proportion of moments greater than or equal to the melt inflow position distance variance threshold value among the melt inflow position distance variance at the first moment, the melt inflow position distance variance at the second moment, and the melt inflow position distance variance at the Mth moment, and set it as the first melt inflow position abnormality coefficient.

[0077] Furthermore, the melt flow abnormal cavity acquisition unit further includes: Step 1: Perform abnormal analysis on k cavity combinations based on the melt flow monitoring timing information of the first luminous reaction cup injection cavity, the melt flow monitoring timing information of the second luminous reaction cup injection cavity, and so on until the melt flow monitoring timing information of the Nth luminous reaction cup injection cavity to obtain the analysis result of the first melt flow abnormal cavity, where the initial value of k is 1 and k is an integer.

[0078] Step 2: When the first melt flow abnormal cavity analysis result is empty and k<N, update the k value by k+1 and return to step 1 to execute the loop.

[0079] Step three: when the first analysis result of the mold cavity with abnormal melt flow rate is not empty, the first analysis result of the mold cavity with abnormal melt flow rate is set as the mold cavity with abnormal melt flow rate.

[0080] Furthermore, the melt flow abnormal cavity acquisition unit further includes: An enumeration combination unit is used to randomly select k cavities for enumeration and combination without replacement for the first luminescent reaction cup injection cavity, the second luminescent reaction cup injection cavity, and the Nth luminescent reaction cup injection cavity, to obtain the first combination cavity, the Qth combination cavity.

[0081] A cavity abnormality analysis unit is used to traverse the first combined cavity until the Qth combined cavity to perform cavity abnormality analysis and obtain the first melt flow abnormality cavity analysis result.

[0082] Furthermore, the mold cavity abnormality analysis unit also includes: Step a: Delete the melt flow monitoring timing information corresponding to the i-th combined mold cavity from the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity to the melt flow monitoring timing information of the N-th luminous reaction cup injection mold cavity, and perform melt flow abnormality analysis to obtain a second melt flow abnormality coefficient, wherein the initial value of i is equal to 1, i is an integer, Q≥i≥1, and the i-th combined mold cavity belongs to the first combined mold cavity to the Q-th combined mold cavity.

[0083] Step b: When the second melt flow anomaly coefficient is less than or equal to the melt flow anomaly coefficient threshold, add the i-th combined cavity to the first melt flow anomaly cavity analysis result, and i<Q, update the i value by i+1, and return to step a to execute the loop.

[0084] Step c: When the second melt flow abnormality coefficient is greater than the melt flow abnormality coefficient threshold, and i<Q, update the i value by i+1, and return to step a to execute the loop.

[0085] Step d: When i≥Q, output the first melt flow abnormal cavity analysis result.

[0086] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0087] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0088] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A multi-cavity injection molding method for producing a luminous reaction cup, characterized in that: A multi-cavity injection molding device for producing luminescent reaction cups, wherein the device is communicatively connected to a luminescent reaction cup injection molding machine, wherein the luminescent reaction cup injection molding machine comprises a multi-cavity mold, wherein the multi-cavity mold comprises a plurality of identical luminescent reaction cup injection molding cavities, including: When the luminous reaction cup injection molding machine is started, the timer is started, and when the preset time is met, the timer interacts with the luminous reaction cup injection molding machine to obtain the first luminous reaction cup injection mold cavity melt flow monitoring timing information, the second luminous reaction cup injection mold cavity melt flow monitoring timing information until the Nth luminous reaction cup injection mold cavity melt flow monitoring timing information; Obtaining the monitoring timing information of the melt inflow position of the first luminescent reaction cup injection mold cavity, the monitoring timing information of the melt inflow position of the second luminescent reaction cup injection mold cavity, and so on until the monitoring timing information of the melt inflow position of the Nth luminescent reaction cup injection mold cavity; Perform melt flow abnormality analysis according to the first luminescent reaction cup injection mold cavity melt flow monitoring timing information, the second luminescent reaction cup injection mold cavity melt flow monitoring timing information, and finally the Nth luminescent reaction cup injection mold cavity melt flow monitoring timing information to obtain a first melt flow abnormality coefficient; Perform melt inflow position abnormality analysis according to the first luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, the second luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, and finally the Nth luminescent reaction cup injection mold cavity melt inflow position monitoring timing information to obtain a first melt inflow position abnormality coefficient; When the first melt flow rate abnormality coefficient is less than or equal to the melt flow rate abnormality coefficient threshold, and the first melt inflow position abnormality coefficient is less than or equal to the melt inflow position abnormality coefficient threshold, the timer is reset to zero and the process execution loop is returned to the start.

2. The method according to claim 1, characterized in that Also includes: When the first melt flow abnormality coefficient is greater than the melt flow abnormality coefficient threshold, the melt flow abnormal cavity analysis is performed according to the melt flow monitoring timing information of the first luminescent reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminescent reaction cup injection mold cavity, and the melt flow monitoring timing information of the Nth luminescent reaction cup injection mold cavity to obtain the melt flow abnormal cavity; When the first melt inflow position abnormality coefficient is greater than the melt inflow position abnormality coefficient threshold, abnormal cavity analysis is performed according to the melt inflow position monitoring timing information of the first luminescent reaction cup injection cavity, the melt inflow position monitoring timing information of the second luminescent reaction cup injection cavity, and up to the melt inflow position monitoring timing information of the Nth luminescent reaction cup injection cavity, to obtain a cavity with an abnormal melt inflow position; The mold cavity with abnormal melt flow rate and the mold cavity with abnormal melt inflow position are sent to the control end of the luminous reaction cup injection molding machine.

3. The method according to claim 1, characterized in that According to the first luminous reaction cup injection mold cavity melt flow monitoring timing information, the second luminous reaction cup injection mold cavity melt flow monitoring timing information, and up to the Nth luminous reaction cup injection mold cavity melt flow monitoring timing information, a melt flow abnormality analysis is performed to obtain a first melt flow abnormality coefficient, including: Extracting a first moment melt flow monitoring value set, a second moment melt flow monitoring value set, and a Mth moment melt flow monitoring value set according to the first light-emitting reaction cup injection mold cavity melt flow monitoring timing information, the second light-emitting reaction cup injection mold cavity melt flow monitoring timing information, and the Nth light-emitting reaction cup injection mold cavity melt flow monitoring timing information; Calculate the first moment melt flow variance of the first moment melt flow monitoring value set, the second moment melt flow variance of the second moment melt flow monitoring value set, and up to the Mth moment melt flow variance of the Mth moment melt flow monitoring value set; The proportion of the melt flow variance at the first moment, the melt flow variance at the second moment, and the melt flow variance at the Mth moment that is greater than or equal to the melt flow variance threshold is counted and set as the first melt flow anomaly coefficient.

4. The method according to claim 1, characterized in that According to the first luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, the second luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, and up to the Nth luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, a melt inflow position abnormality analysis is performed to obtain a first melt inflow position abnormality coefficient, including: Extracting a first moment melt inflow position monitoring value set, a second moment melt inflow position monitoring value set, and a second moment melt inflow position monitoring value set, and a Mth moment melt inflow position monitoring value set according to the first light-emitting reaction cup injection mold cavity melt inflow position monitoring timing information, the second light-emitting reaction cup injection mold cavity melt inflow position monitoring timing information, and the Nth light-emitting reaction cup injection mold cavity melt inflow position monitoring timing information; Performing adjacent mold cavity position distance calculation on the melt inflow position monitoring value set at the first moment to obtain the melt inflow position distance set at the first moment, performing adjacent mold cavity position distance calculation on the melt inflow position monitoring value set at the second moment to obtain the melt inflow position distance set at the second moment, until performing adjacent mold cavity position distance calculation on the melt inflow position monitoring value set at the Mth moment to obtain the melt inflow position distance set at the Mth moment; Calculating the first moment melt inflow position distance variance of the first moment melt inflow position distance set, calculating the second moment melt inflow position distance variance of the second moment melt inflow position distance set, until calculating the Mth moment melt inflow position distance variance of the Mth moment melt inflow position distance set; The proportion of the variance of the melt inflow position distance at the first moment, the variance of the melt inflow position distance at the second moment, and the variance of the melt inflow position distance at the Mth moment that is greater than or equal to the threshold of the variance of the melt inflow position distance is counted, and this is set as the first melt inflow position abnormality coefficient.

5. The method according to claim 2, characterized in that According to the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity, and up to the melt flow monitoring timing information of the Nth luminous reaction cup injection mold cavity, an abnormal mold cavity analysis is performed on the melt flow to obtain a mold cavity with abnormal melt flow, including: Step 1: Perform an abnormal analysis of k cavity combinations according to the melt flow monitoring timing information of the first luminescent reaction cup injection cavity, the melt flow monitoring timing information of the second luminescent reaction cup injection cavity, and up to the melt flow monitoring timing information of the Nth luminescent reaction cup injection cavity, and obtain the first melt flow abnormal cavity analysis result, where the initial value of k is 1 and k is an integer; Step 2: When the first melt flow abnormal cavity analysis result is empty and k<N, update the k value by k+1, and return to step 1 to execute the loop; Step three: when the first analysis result of the mold cavity with abnormal melt flow rate is not empty, the first analysis result of the mold cavity with abnormal melt flow rate is set as the mold cavity with abnormal melt flow rate.

6. The method according to claim 5, characterized in that According to the first luminous reaction cup injection mold cavity melt flow monitoring timing information, the second luminous reaction cup injection mold cavity melt flow monitoring timing information, and up to the Nth luminous reaction cup injection mold cavity melt flow monitoring timing information, k mold cavity combination enumeration abnormality analysis is performed to obtain the first melt flow abnormal mold cavity analysis result, including: For the first luminescent reaction cup injection mold cavity, the second luminescent reaction cup injection mold cavity, and the Nth luminescent reaction cup injection mold cavity, k mold cavities are randomly selected without replacement each time for enumeration and combination, and the first combination mold cavity is obtained until the Qth combination mold cavity; The first combined mold cavity is traversed until the Qth combined mold cavity is subjected to mold cavity abnormality analysis to obtain the first melt flow abnormality mold cavity analysis result.

7. The method according to claim 6, characterized in that Traversing the first combined mold cavity until the Qth combined mold cavity to perform mold cavity abnormality analysis, and obtaining the first melt flow abnormal mold cavity analysis result, including: Step a: After deleting the melt flow monitoring timing information corresponding to the i-th combined mold cavity, the melt flow monitoring timing information of the first luminous reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminous reaction cup injection mold cavity, and the melt flow monitoring timing information of the N-th luminous reaction cup injection mold cavity, a melt flow abnormality analysis is performed to obtain a second melt flow abnormality coefficient, wherein the initial value of i is equal to 1, i is an integer, Q≥i≥1, and the i-th combined mold cavity belongs to the first combined mold cavity until the Q-th combined mold cavity; Step b: when the second melt flow abnormality coefficient is less than or equal to the melt flow abnormality coefficient threshold, the i-th combined cavity is added to the first melt flow abnormal cavity analysis result, and i<Q, the i value is updated by i+1, and the loop is returned to step a; Step c: when the second melt flow rate abnormal coefficient is greater than the melt flow rate abnormal coefficient threshold value, and i<Q, the value of i is updated by i+1, and the process returns to step a to execute a loop; Step d: When i≥Q, output the first melt flow abnormal cavity analysis result.

8. A multi-cavity injection molding device for producing luminous reaction cups, characterized in that: A multi-cavity injection molding device for producing luminous reaction cups, the device being implemented in the method described in any one of claims 1 to 7, the device comprising: A flow monitoring timing information acquisition module, wherein the flow monitoring timing information acquisition module is used to start a timer when the luminescent reaction cup injection molding machine is started, and when a preset time is met, interact with the luminescent reaction cup injection molding machine to obtain the melt flow monitoring timing information of the first luminescent reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminescent reaction cup injection mold cavity, and so on until the melt flow monitoring timing information of the Nth luminescent reaction cup injection mold cavity; An inflow position monitoring timing information acquisition module, wherein the inflow position monitoring timing information acquisition module is used to obtain the inflow position monitoring timing information of the melt into the first luminescent reaction cup injection mold cavity, the inflow position monitoring timing information of the melt into the second luminescent reaction cup injection mold cavity, and so on until the inflow position monitoring timing information of the melt into the Nth luminescent reaction cup injection mold cavity; A melt flow anomaly coefficient acquisition module, the melt flow anomaly coefficient acquisition module is used to perform melt flow anomaly analysis according to the melt flow monitoring timing information of the first luminescent reaction cup injection mold cavity, the melt flow monitoring timing information of the second luminescent reaction cup injection mold cavity, and up to the melt flow monitoring timing information of the Nth luminescent reaction cup injection mold cavity, to obtain a first melt flow anomaly coefficient; A melt inflow position abnormality coefficient acquisition module, the melt inflow position abnormality coefficient acquisition module is used to perform melt inflow position abnormality analysis according to the first luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, the second luminescent reaction cup injection mold cavity melt inflow position monitoring timing information until the Nth luminescent reaction cup injection mold cavity melt inflow position monitoring timing information, and obtain a first melt inflow position abnormality coefficient; An execution loop module is used to reset the timer to zero and return to the start process execution loop when the first melt flow abnormality coefficient is less than or equal to the melt flow abnormality coefficient threshold and the first melt inflow position abnormality coefficient is less than or equal to the melt inflow position abnormality coefficient threshold.

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