Injection mold processing monitoring method, system and equipment and storage medium

Abstract

The invention discloses an injection mold machining monitoring method, system and device and a storage medium. The method comprises the steps that image data in the machining process of an injection mold are collected in real time, and the type and the machining stage of the current injection mold are recognized; machining data in the machining process of the injection mold are collected in real time; preset processing data corresponding to the type and the processing stage are searched from an injection mold processing database; comparing the processing data with preset processing data in real time; judging whether any one of the conditions that the temperature of the key part of the injection mold is out of a preset temperature range of the key part of the injection mold, the operation state data of the processing equipment is out of a preset operation state data range of the processing equipment, and the technological parameters of the processing technology are out of a preset technological parameter range of the processing technology exists or not; and if yes, it is judged that abnormity exists in the current injection mold machining process, and abnormity warning information is generated. According to the invention, precise monitoring and intelligent management of the processing process of the injection mold can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of mold manufacturing and intelligent manufacturing, and specifically to an injection mold processing monitoring method, system, equipment and storage medium. Background Art

[0002] With the rapid development of the manufacturing industry, injection molds are increasingly used in the manufacturing of various products.

[0003] However, traditional injection mold processing monitoring mostly relies on manual inspection and recording, which is inefficient and error-prone, and cannot meet the modern manufacturing industry's demand for high precision and high efficiency.

[0004] At present, there are some injection mold processing monitoring systems on the market, but most systems can only achieve basic data collection and simple analysis, and cannot provide accurate processing status feedback and early warning in real time. They also lack flexible management strategy adjustment functions, making it difficult to cope with complex and changeable processing scenarios, and cannot achieve accurate monitoring and intelligent management of the processing process, thereby improving processing efficiency and product quality and ensuring production benefits. Summary of the invention

[0005] In order to achieve accurate monitoring and intelligent management of the injection mold processing process, the present application provides an injection mold processing monitoring method, system, equipment and storage medium.

[0006] In a first aspect, the present application provides an injection mold processing monitoring method, comprising: Collect image data of the injection mold processing process in real time, and use machine vision recognition technology to identify the type and processing stage of the current injection mold; Real-time collection of processing data during the injection mold processing; the processing data includes: the temperature of key parts of the injection mold, the operating status data of the processing equipment and the process parameters of the processing technology; According to the identified type and processing stage of the current injection mold, preset processing data of the corresponding type and processing stage are searched from the injection mold processing database; the preset processing data includes: a preset temperature range of a key part of the injection mold, a preset operating status data range of the processing equipment, and a preset process parameter range of the processing technology; Compare the processing data with the preset processing data in real time to determine whether the temperature of the key part of the injection mold is outside the preset temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the preset operating status data range of the processing equipment, and the process parameters of the processing technology are outside the preset process parameter range of the processing technology; If so, it is determined that there is an abnormality in the current injection mold processing process, an abnormal warning message is generated, and a first control instruction is generated accordingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the preset operating status data range of the processing equipment and / or the parameters of the processing process to be within the preset process parameter range of the processing process; otherwise, no operation is performed.

[0007] By adopting the above solution, considering that different mold types and different processing stages in the mold processing process have different requirements for temperature, operating status of processing equipment and parameters of processing technology, the collected processing data is compared with the preset processing data of the corresponding type and stage in real time to achieve accurate monitoring that adapts to the needs of different processing scenarios; at the same time, abnormal warning information is generated, and adjustment control instructions are generated according to the comparison of preset processing data to achieve intelligent management of the processing process.

[0008] Preferably, it also includes: From the start of injection mold processing, start the processing time timing; Combined with the identified type and processing stage of the current injection mold, the processing time of a single processing stage of the current injection mold is counted; Whenever the processing time of a single processing stage of the current injection mold is counted, the processing time of the single processing stage of the current injection mold is compared with the corresponding standard processing time range; the corresponding standard processing time range is a preset processing time range of an injection mold of the same type and in the same processing stage as the current injection mold, which is searched from a standard time database; If no abnormal warning information is generated within the statistical processing time of a single processing stage of the current injection mold and the statistical processing time of a single processing stage of the current injection mold is outside the corresponding standard processing time range, it is determined that there is an abnormality in the processing process of the single stage of the current injection mold, and a corresponding warning information that there is an abnormality in the single processing stage of the injection mold is generated; otherwise, no operation is performed.

[0009] By adopting the above solution, considering that there may be errors in the collection of temperature, operating status of processing equipment and parameters of processing technology by sensors, when no problems with temperature, operating status of processing equipment and parameters of processing technology are detected, the processing time is further compared to monitor processing abnormalities and achieve accurate monitoring.

[0010] Preferably, it also includes: According to the identified type and processing stage of the injection mold, when a change in the processing stage is identified, the injection mold processing process image data collected at the last moment is extracted; Inputting the extracted injection mold processing image data collected at the last moment into the second neural network model to obtain the output shape, size and surface roughness of the injection mold; the second neural network is trained and generated using the historical injection mold processing image data annotated with the shape, size and surface roughness of the injection mold; Searching from an injection mold processing database for a preset shape, size, and surface roughness after a processing stage corresponding to an injection mold of the same type and in the same processing stage as the injection mold at the previous moment; the injection mold processing database stores preset shapes, sizes, and surface roughness of different types of injection molds after a single processing stage; If any of the following situations occurs: the similarity between the shape of the output injection mold and the shape of the preset injection mold is lower than the preset similarity, the difference between the size of the output injection mold and the size of the preset injection mold is greater than the preset size difference, and the surface roughness of the output injection mold is different from the surface roughness of the preset injection mold, then it is determined that there is an abnormality in a single processing stage of the injection mold at the previous moment, and a corresponding warning message that there is an abnormality in a single processing stage of the injection mold is generated; at the same time, a control instruction to stop the injection mold processing is generated to control the stop of the processing.

[0011] By adopting the above scheme, the processing quality is tested for each processing stage, and whether to continue the processing operation in the next stage is determined based on the test results, so as to avoid imperfect processing caused by abnormal conditions in the previous stage, thereby improving the quality of mold processing products.

[0012] Preferably, it also includes: Receive the operator's request for secondary processing of the injection mold with abnormal processing stage and respond to it; when responding to the secondary processing request and starting the secondary processing operation, collect the processing data of the injection mold secondary processing in real time; Receiving manually set processing data input for secondary processing of the injection mold; the manually set processing data includes: a manually set temperature range of key parts of the injection mold, a manually set operating status data range of the processing equipment, and a manually set process parameter range of the processing technology; Compare the processing data with the manually set processing data in real time to determine whether the temperature of the key part of the injection mold is outside the manually set temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the manually set operating status data range of the processing equipment, and the process parameters of the processing technology are outside the manually set process parameter range of the processing technology; If so, it is determined that there is an abnormality in the current secondary processing of the injection mold, an abnormal warning message is generated, and a second control instruction is generated accordingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the manually set operating status data of the processing equipment and / or the parameters of the processing process to be within the manually set process parameter range of the processing process; otherwise, no operation is performed.

[0013] By adopting the above solution, taking into account the quality problems in a single processing stage and thus the process of secondary processing, since the secondary processing may only require reprocessing of part of the injection mold and the reprocessing conditions of different injection molds are different, the operating status of the processing equipment and the processing process parameters of the secondary processing are generally based on the manually specified data, and then the manually set processing data and the collected processing data are compared in real time, thereby completing real-time and accurate monitoring.

[0014] Preferably, it also includes: At the same time as the real-time comparison between the running status data of the processing equipment and the preset running status data range of the processing equipment, and the process parameters of the processing technology and the preset process parameter range of the processing technology, it is detected whether there is a modification event; if there is a modification event, it is correspondingly determined that there is no abnormality in the running status data of the processing equipment or the process parameters of the processing technology during the current injection mold processing; the modification event includes: executing an artificial modification instruction for the running status data of the processing equipment to generate the running status data of the current processing equipment, and executing an artificial modification instruction for the process parameters of the processing technology to generate the process parameters of the current processing technology.

[0015] By adopting the above solution, considering that there are operators who temporarily modify some processing parameters or processing equipment status data to meet special user needs, it is necessary to determine whether there is a modification event during the real-time monitoring of processing parameters or processing equipment status data to avoid erroneous generation of processing abnormality alerts due to modification events.

[0016] Preferably, it also includes: Real-time collection of ambient temperature data during the injection mold processing process; At the same time of comparing the operating status data of the processing equipment with the preset operating status data range of the processing equipment, and the process parameters of the processing technology with the preset process parameter range of the processing technology in real time, it is detected whether the difference between the currently collected ambient temperature and the currently collected temperature of the key part of the injection mold is less than the preset temperature difference, and the currently collected ambient temperature and the temperature of the key part of the injection mold are both outside the preset temperature range of the key part of the injection mold; if so, it is correspondingly determined that there is no abnormality in the temperature of the key part of the injection mold during the current injection mold processing.

[0017] By adopting the above scheme, the ambient temperature data is detected in real time. When the ambient temperature data and the injection mold temperature are both outside the preset temperature range and the temperatures are close, it can be determined that the current ambient temperature data has an impact on the real-time monitoring temperature of the injection mold, and no abnormal situation is considered to exist to avoid the impact of ambient temperature on injection mold temperature monitoring.

[0018] Preferably, it also includes: The time when the current injection mold processing process is judged to be abnormal and the specific processing data type with abnormality are recorded in real time, and it is determined whether the number of times that the current injection mold processing process is judged to be abnormal and the processing data type with abnormality is the same within a preset time is greater than the preset number; if so, a control instruction to stop the injection mold processing is generated to control the stopping of the processing.

[0019] By adopting the above scheme, in order to avoid damage to the injection mold produced by excessive frequency of abnormal processing states, the number of occurrences of abnormal processing states within a preset time is counted, and the processing process is stopped in time.

[0020] In a second aspect, the present application provides an injection mold processing monitoring system, comprising: The injection mold type and processing stage recognition module is used to collect the image data of the injection mold processing process in real time and use machine vision recognition technology to identify the type and processing stage of the current injection mold; The processing data acquisition module of the injection mold is used to collect the processing data of the injection mold in real time during the processing; the processing data includes: the temperature of the key parts of the injection mold, the operating status data of the processing equipment and the process parameters of the processing technology; The preset processing data acquisition module of the injection mold is used to search the preset processing data of the corresponding type and processing stage from the injection mold processing database according to the identified type and processing stage of the current injection mold; the preset processing data includes: the preset temperature range of the key parts of the injection mold, the preset operating status data range of the processing equipment and the preset process parameter range of the processing technology; The injection mold processing process abnormality monitoring module is used to compare the processing data with the preset processing data in real time to determine whether there is any situation in which the temperature of the key part of the injection mold is outside the preset temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the preset operating status data range of the processing equipment, and the process parameters of the processing technology are outside the preset process parameter range of the processing technology; if so, it is determined that there is an abnormality in the current injection mold processing process, and an abnormal warning message is generated and a first control instruction is generated correspondingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the preset operating status data range of the processing equipment and / or the parameters of the processing technology to be within the preset process parameter range of the processing technology; otherwise, no operation is performed.

[0021] By adopting the above solution, abnormal situations in the processing process can be discovered in time, accurate monitoring can be achieved, and processing efficiency and product quality can be improved; at the same time, flexible strategy adjustment functions can be set to adapt to the needs of different processing scenarios and improve overall production efficiency.

[0022] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method as described above.

[0023] In a fourth aspect, the present application provides a computer device, comprising a memory, a processor, and a program stored and executable on the memory, wherein the program implements the steps of the above method when executed by the processor.

[0024] In summary, this application has the following beneficial effects: 1. Considering the processing requirements of different processing scenarios such as different injection mold types and various stages of injection mold processing, the machine vision recognition technology is used to determine the processing scenario in real time, and the corresponding preset processing data is acquired based on the determined processing scenario, and compared and analyzed with the real-time collected processing data, so as to complete targeted and accurate monitoring; 2. Count the duration of injection mold processing at each stage. On the basis that no abnormal warning information is generated in a single stage of injection molding, further use the detection of processing time to prevent errors in processing monitoring due to failure to timely discover errors in data collection; 3. In order to further achieve accurate monitoring, quality inspection is carried out at each stage of the injection mold. For injection molds with problems in quality inspection, the next stage of processing operations will be stopped accordingly to improve the production quality of the injection mold. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of the injection mold processing monitoring method described in a specific embodiment; Figure 2 It is a structural schematic diagram of the injection mold processing monitoring system described in a specific embodiment. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] like Figure 1 As shown, the embodiment of the present application discloses a method for monitoring injection mold processing, and the specific steps are as follows: S1. Real-time acquisition of injection mold processing image data and identification of the type and processing stage of the current injection mold.

[0028] In order to adapt to the monitoring of injection mold processing in different processing scenarios, the machine vision recognition technology is combined to realize the recognition of different processing scenarios, so as to realize accurate monitoring of the injection mold processing corresponding to the subsequent different processing scenarios. Specifically, the image data of the injection mold processing process is collected in real time by using a camera device, and the real-time collected image data is input into the first neural network to identify and obtain the type and processing stage of the current injection mold.

[0029] Among them, the types of injection molds include: two-plate molds of different shapes and sizes, three-plate molds of different shapes and sizes, etc.; the processing stages of the injection molds include: turning and milling, wire cutting, electric spark, polishing and other processing stages.

[0030] Among them, the first neural network adopts a CNN convolutional neural network, the model input is the injection mold processing process image data, and the output is the type and processing stage of the injection mold; the training of the first neural network includes: using different processing scenarios (such as: different types of molds, different processing stages of injection molds, etc.), and training and generating historical injection mold processing process image data marked with specific types of injection molds and specific processing stages of injection molds.

[0031] S2. Real-time collection of processing data during the injection mold processing.

[0032] Specifically, the processing data of the injection mold processing process includes multiple aspects, such as: the data of the injection mold itself during the processing process, the data of the processing tools used in the injection mold processing process (such as machine tools, props, fixtures, etc.), and the data of each process link in the injection mold processing process.

[0033] Specifically, the processing data includes: the temperature of key parts of the injection mold, the operating status data of the processing equipment and the process parameters of the processing technology.

[0034] Among them, the key parts of the injection mold mainly refer to the contact parts between the injection mold and the processing equipment or the electrode reaction parts. Since the injection mold material and the cutting tool will generate a lot of heat, the cutting area is the key part; or since the reaction between the electrode and the injection mold generates a lot of heat, the reaction area is the key part. The temperature of the key parts can be marked in advance and collected by sensors or collected by infrared cameras and image analysis.

[0035] Sensors can be used to collect the operating status data of processing equipment. The operating status data of processing equipment includes: start and stop status data of machine tools, cutting tools, fixtures and other equipment, vibration amplitude, temperature, power and other status data of machine tools, cutting tools, fixtures and other equipment.

[0036] Sensors can be used to collect process parameters of the processing technology, and the process parameters of the processing technology include: cutting force, cutting speed, feed rate, etc.

[0037] S3. Query preset processing data according to the identified type and processing stage of the current injection mold.

[0038] Specifically, different types of injection molds and different processing stages have different requirements for injection mold temperature, processing equipment and processing parameters. For example, compared with the rough processing stage such as turning and milling, a larger cutting depth and feed speed need to be set, while the relatively delicate processing stage such as wire cutting needs to be set with a smaller cutting depth and feed speed; therefore, the injection mold temperature, processing equipment and processing parameters corresponding to different types of injection molds and different processing stages are pre-set and stored in the injection mold processing database.

[0039] The specific pre-set data can be obtained based on the statistical analysis of processing data generated by historical different types of injection molds under normal processing operations at different stages.

[0040] According to the identified type and processing stage of the current injection mold, preset processing data of the corresponding type and processing stage are searched from the injection mold processing database; the preset processing data includes: a preset temperature range of key parts of the injection mold, a preset operating status data range of the processing equipment, and a preset process parameter range of the processing technology.

[0041] S4. Compare the processed data with the preset processed data in real time, determine whether there is an abnormality based on the comparison result and generate abnormal warning information.

[0042] Specifically, respectively compare the temperature of the key parts of the injection mold with the preset temperature range of the key parts of the injection mold, the operating status data of the processing equipment with the preset operating status data range of the processing equipment, and the process parameters of the processing technology with the preset process parameter range of the processing technology, and determine whether there is any situation that the temperature of the key parts of the injection mold is outside the preset temperature range of the key parts of the injection mold, the operating status data of the processing equipment is outside the preset operating status data range, and the process parameters of the processing technology are outside the preset process parameter range of the processing technology. Among them, the operating status data of different types of processing equipment are compared with the operating status data range of the preset processing equipment of the corresponding type, such as: the collected vibration amplitude is compared with the preset vibration amplitude range. Different types of process parameters are compared with the preset process parameters of the corresponding type, such as: the collected cutting speed is compared with the preset cutting speed range.

[0043] If there is, it is determined that there is an abnormality in the current injection mold processing process, and an abnormal warning message is generated; otherwise, no operation is performed. Among them, the abnormal warning message can generate temperature abnormality warning information of key parts of the injection mold, abnormal operation status data warning information of the processing equipment, and abnormal process parameter warning information of the processing technology according to the specific abnormal data type.

[0044] In addition, in order to realize intelligent management of injection mold processing based on monitoring results, when it is determined that there is an abnormality in the current injection mold processing process, an adaptive control method is used to generate a first control instruction corresponding to the abnormal operating status data of the processing equipment and / or the process parameters of the processing technology, so as to adjust the operating status data of the processing equipment to be within the preset operating status data range of the processing equipment and / or the parameters of the processing technology to be within the preset process parameter range of the processing technology.

[0045] In addition, in order to avoid the injection mold being in an abnormal processing state for a long time, the processing of the injection mold can be stopped in time. Specifically, the moment when the current injection mold processing process is judged to be abnormal and the specific type of processing data with abnormality are recorded in real time, that is, the temperature of the key parts of the abnormal injection mold and / or the operating status data of the processing equipment and / or the process parameters of the processing technology. Considering that the same abnormal data type appears too frequently within a period of time, it indicates that the processing equipment may be damaged, the operating status data and the processing technology are difficult to adjust and control, or the injection mold is overheated and the processing needs to be stopped in time. Therefore, it is judged whether there is a situation in which the current injection mold processing process is judged to be abnormal within a preset time and the number of times the abnormal processing data type is the same is greater than the preset number of times set manually; if so, a control instruction to stop the injection mold processing is generated to control the stop of processing, and a prompt message to stop processing is generated at the same time.

[0046] S5. Design a visual interface and use it to display abnormal situations and abnormal warning information.

[0047] Specifically, a visualization interface is designed to display in real time the type of injection mold, processing stage and temperature, processing equipment status data, and processing technology parameter data, and to display abnormal temperatures, processing equipment status data, and processing technology parameter data in different colors; at the same time, the designed visualization interface is used to display abnormal warning information and prompt information to stop processing in real time.

[0048] By adopting the above-mentioned embodiment scheme, real-time and accurate monitoring of injection mold processing in different scenarios can be achieved, abnormal situations can be fed back in time and warnings can be given, adaptive adjustments can be made to some abnormal situations, and intelligent management can be achieved.

[0049] In a specific embodiment, considering that the processing data collected by the sensor may have errors, resulting in failure to warn of abnormal conditions in a timely manner, the abnormal conditions of each processing stage are monitored using the processing time to achieve more accurate monitoring; the method includes: From the start of injection mold processing, start the processing time timing.

[0050] Based on the historical processing time of injection molds collected in different scenarios, statistical analysis is performed to obtain the range of processing time for each type of mold in different stages and store it in the standard time database. Combined with the identified type and processing stage of the current injection mold, the processing time of a single processing stage of the current injection mold is counted.

[0051] Every time the processing time of a single processing stage of the current injection mold is counted, the processing time of the single processing stage of the current injection mold is compared with the corresponding standard processing time range; the corresponding standard processing time range is a preset processing time range for injection molds of the same type and in the same processing stage as the current injection mold, which is searched from the standard time database.

[0052] If no abnormal warning information is generated within the statistical processing time of a single processing stage of the current injection mold and the statistical processing time of a single processing stage of the current injection mold is outside the corresponding standard processing time range, it is determined that there is an abnormality in the processing process of the current single stage of the injection mold, and a corresponding warning information of an abnormality in the single processing stage of the injection mold is generated; otherwise, no operation is performed. For example: the statistical processing time of the wire cutting stage is half an hour, the corresponding standard processing time is 20 minutes, and no abnormal warning information is generated during the entire cutting stage processing, which indicates that there may be errors in the collected processing data, and it is determined that there is an abnormality in the processing process corresponding to the wire cutting stage of the current injection mold, and a warning information of an abnormality in the wire cutting processing stage of the injection mold is generated.

[0053] In a specific embodiment, in order to further ensure the quality of the injection mold generated by processing, stage-by-stage quality monitoring is performed for each processing stage of the injection mold. For the injection mold with problems in the quality monitoring of a single stage, the processing operation of the next stage is stopped, and the processing quality is monitored in stages; the method includes: According to the type and processing stage of the injection mold identified in real time, when a change in the processing stage is identified, the injection mold processing process image data collected at the previous moment is extracted. For example: when it is identified that the processing stage changes from the wire cutting processing stage to the electric spark processing stage, the injection mold processing process image data of the previous moment, that is, the injection mold processing process image data of the wire cutting processing stage, is extracted.

[0054] The extracted injection mold processing image data collected at the previous moment is input into the second neural network model to obtain the output shape, size and surface roughness of the injection mold. The input of the second neural network model is the injection mold processing image data, and the output is the shape, size and surface roughness of the injection mold. The training of the second neural network model includes: training and generating historical injection mold processing image data marked with the shape, size and surface roughness of the injection mold in different processing scenarios.

[0055] The injection mold processing database also stores preset shapes, sizes and surface roughness of different types of injection molds after each processing stage. The preset shapes, sizes and surface roughness after the processing stage corresponding to the injection mold of the same type and in the same processing stage as the previous moment are searched from the injection mold processing database; the surface roughness is divided into multiple levels, such as: level one, level two, level three, level four, and the roughness gradually decreases in the order of level one to level four.

[0056] The shape, size and surface roughness of the output injection mold are compared with the preset shape, size and surface roughness of the search; if there is any of the following situations: the similarity between the shape of the output injection mold and the shape of the preset injection mold is lower than the preset similarity, the difference between the size of the output injection mold and the size of the preset injection mold is greater than the preset size difference, and the surface roughness of the output injection mold is different from the surface roughness level of the preset injection mold, then it is determined that there is an abnormality in a single processing stage of the injection mold at the previous moment, and a warning message indicating the abnormality in a single processing stage of the injection mold and the specific abnormal processing stage are generated accordingly, and the processing operation of the next stage is stopped, that is, a control instruction to stop the injection mold processing is generated to control the stop of the processing.

[0057] Due to abnormal conditions in the previous processing stage, remedial measures such as secondary processing of the previous processing stage are often taken, and the secondary processing may only be performed on a part of the area of ​​the injection mold. Therefore, the secondary processing is generally performed by the operator manually inputting the processing data of the injection mold according to the actual processing completed. Therefore, it is necessary to accurately monitor the secondary processing process based on the manually set processing data; the method also includes: Receive the operator's request for secondary processing of the injection mold with abnormal processing stage and respond to it; when responding to the secondary processing request and starting the secondary processing operation, collect the processing data of the injection mold secondary processing in real time; Receiving manually set processing data input for secondary processing of the injection mold; the manually set processing data includes: a manually set temperature range of key parts of the injection mold, a manually set operating status data range of the processing equipment, and a manually set process parameter range of the processing technology; Compare the processing data with the manually set processing data in real time to determine whether the temperature of the key part of the injection mold is outside the manually set temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the manually set operating status data range of the processing equipment, and the process parameters of the processing technology are outside the manually set process parameter range of the processing technology; If so, it is determined that there is an abnormality in the current secondary processing of the injection mold, and an abnormal warning message is generated; among them, the abnormal warning message can generate temperature abnormality warning information of key parts of the injection mold, abnormal operating status data warning information of the processing equipment, and abnormal process parameter warning information of the processing technology according to the specific abnormal data type.

[0058] In addition, when it is determined that there is an abnormality in the current secondary processing of the injection mold, an adaptive control method is used to generate a second control instruction corresponding to the operating status data of the processing equipment and / or the process parameters of the processing technology with the specific abnormality, so as to adjust the operating status data of the processing equipment and / or the parameters of the processing technology to be within the artificially set process parameter range of the processing equipment; otherwise, no operation is performed.

[0059] In a specific embodiment, considering that there are special cases where the user directly modifies the operating data and processing parameters, or the temperature of the injection mold suddenly changes due to the ambient temperature, etc., abnormal information is monitored, in order to avoid the generation of such erroneous abnormal warning information; the method also includes: At the same time as the real-time comparison between the operating status data of the processing equipment and the preset operating status data range of the processing equipment, and the process parameters of the processing technology and the preset process parameter range of the processing technology, it is detected whether there is a modification event; the modification event includes: executing an artificial modification instruction for the operating status data of the processing equipment to generate the operating status data of the current processing equipment, and executing an artificial modification instruction for the process parameters of the processing technology to generate the process parameters of the current processing technology.

[0060] If there is a modification event, it is determined that there is no abnormality in the operating status data of the processing equipment or the process parameters of the processing technology during the current injection mold processing, that is, the comparison results between the actual operating status data of the processing equipment and the preset operating status data range of the processing equipment, and the comparison results between the process parameters of the actual processing technology and the preset process parameter range of the processing technology are ignored.

[0061] The method further comprises: Real-time collection of ambient temperature data during the injection mold processing process; At the same time of comparing the operating status data of the processing equipment with the preset operating status data range of the processing equipment, and the process parameters of the processing technology with the preset process parameter range of the processing technology in real time, detect whether the difference between the currently collected ambient temperature and the currently collected temperature of the key part of the injection mold is less than the preset temperature difference, and whether the currently collected ambient temperature and the temperature of the key part of the injection mold are both outside the preset temperature range of the key part of the injection mold; if so, it is correspondingly determined that there is no corresponding abnormal situation in the temperature of the key part of the injection mold during the current injection mold processing.

[0062] If there are multiple key parts of the injection mold, some key parts of the injection mold that are outside the preset temperature range of the key parts of the injection mold are judged and recorded as special key parts of the injection mold, that is, the difference between the currently collected ambient temperature and the currently collected temperature of each special key part of the injection mold is less than the preset temperature difference, and the currently collected ambient temperature and the temperature of the special key parts of the injection mold are both outside the preset temperature range of the key parts of the injection mold, then it is judged that there is no corresponding abnormal situation in the temperature of the key parts of the injection mold during the current injection mold processing.

[0063] In addition, in order to further determine that the ambient temperature affects the temperature of the injection mold, it can be simultaneously detected whether the difference between the first temperature change value and the second temperature change value is less than the preset difference; the first temperature change value refers to the temperature change value of the current ambient temperature compared to the ambient temperature at the previous moment, and the second temperature change value refers to the temperature change value of the key part of the injection mold currently collected compared to the temperature of the key part of the injection mold collected at the previous moment; if the difference between the first temperature change value and the second temperature change value is less than the preset difference, it is further verified that there is no corresponding abnormality in the temperature of the key part of the injection mold during the current injection mold processing.

[0064] like Figure 2 As shown, the embodiment of the present application discloses an injection mold processing monitoring system, including: The injection mold type and processing stage identification module 101 is used to collect the injection mold processing process image data in real time and use machine vision recognition technology to identify the type and processing stage of the current injection mold; The processing data acquisition module 102 of the injection mold is used to collect the processing data of the injection mold in real time during the processing; the processing data includes: the temperature of the key parts of the injection mold, the operating status data of the processing equipment and the process parameters of the processing technology; The preset processing data acquisition module 103 of the injection mold is used to search for the preset processing data of the corresponding type and processing stage from the injection mold processing database according to the identified type and processing stage of the current injection mold; the preset processing data includes: the preset temperature range of the key parts of the injection mold, the preset operating status data range of the processing equipment and the preset process parameter range of the processing technology; The injection mold processing process abnormality monitoring module 104 is used to compare the processing data with the preset processing data in real time to determine whether there is any situation that the temperature of the key part of the injection mold is outside the preset temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the preset operating status data range of the processing equipment, and the process parameters of the processing technology are outside the preset process parameter range of the processing technology; if so, it is determined that there is an abnormality in the current injection mold processing process, and an abnormal warning message is generated and a first control instruction is generated correspondingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the preset operating status data range of the processing equipment and / or the parameters of the processing technology to be within the preset process parameter range of the processing technology; otherwise, no operation is performed.

[0065] The injection mold processing abnormality monitoring module 104 in the system is also used to start the processing time timing from the start of the injection mold processing; combine the identified type and processing stage of the current injection mold to count the processing time of a single processing stage of the current injection mold; each time the processing time of a single processing stage of the current injection mold is counted, compare the counted processing time of the single processing stage of the current injection mold with the corresponding standard processing time range; the corresponding standard processing time range is a preset processing time range for injection molds of the same type and in the same processing stage as the current injection mold, which is found from the standard time database; If no abnormal warning information is generated within the statistical processing time of a single processing stage of the current injection mold and the statistical processing time of a single processing stage of the current injection mold is outside the corresponding standard processing time range, it is determined that there is an abnormality in the processing process of the single stage of the current injection mold, and a corresponding warning information that there is an abnormality in the single processing stage of the injection mold is generated; otherwise, no operation is performed.

[0066] In a specific embodiment, the injection mold processing abnormality monitoring module 104 in the system is also used to extract the injection mold processing image data collected at the last moment when a change in the processing stage is identified based on the identified type and processing stage of the injection mold; input the extracted injection mold processing image data collected at the last moment into the second neural network model to obtain the output shape, size and surface roughness of the injection mold; the second neural network is trained and generated using historical injection mold processing image data annotated with the shape, size and surface roughness of the injection mold; search the injection mold processing database for a preset shape, size and surface roughness after the processing stage corresponding to the injection mold of the same type and in the same processing stage as the injection mold at the last moment; The injection mold processing database stores preset shapes, sizes and surface roughness of different types of injection molds after a single processing stage; the shape, size and surface roughness of the output injection mold are compared with the preset shape, size and surface roughness; if there is any of the following situations: the similarity between the shape of the output injection mold and the shape of the preset injection mold is lower than the preset similarity, the difference between the size of the output injection mold and the size of the preset injection mold is greater than the preset size difference, and the surface roughness of the output injection mold is different from the surface roughness of the preset injection mold, it is determined that there is an abnormality in the single processing stage of the injection mold at the previous moment, and a warning message indicating that there is an abnormality in the single processing stage of the injection mold is generated accordingly; at the same time, a control instruction to stop the injection mold processing is generated to control the stop of the processing.

[0067] The injection mold processing abnormality monitoring module 104 in the system is also used to receive the operator's request information for secondary processing of the injection mold with abnormal processing stage, and respond; when responding to the secondary processing request and starting the secondary processing operation, real-time collection of processing data during the secondary processing of the injection mold; Receive manually set processing data input for secondary processing of the injection mold; the manually set processing data includes: a manually set temperature range of a key part of the injection mold, a manually set operating status data range of the processing equipment, and a manually set process parameter range of the processing technology; compare the processing data with the manually set processing data in real time to determine whether there is any situation in which the temperature of the key part of the injection mold is outside the manually set temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the manually set operating status data range of the processing equipment, and the process parameters of the processing technology are outside the manually set process parameter range of the processing technology; if so, determine that there is an abnormality in the current secondary processing process of the injection mold, generate abnormal warning information, and use an adaptive control method to generate a second control instruction to adjust the operating status data of the processing equipment to the manually set operating status data of the processing equipment and / or the parameters of the processing technology to the manually set process parameter range of the processing technology; otherwise, do not perform any operation.

[0068] In a specific embodiment, the injection mold processing abnormality monitoring module 104 in the system is also used to compare the operating status data of the processing equipment with the preset operating status data range of the processing equipment, and the process parameters of the processing technology with the preset process parameter range of the processing technology at the same time, to detect whether there is a modification event; if there is a modification event, it is correspondingly determined that there is no abnormality in the operating status data of the processing equipment or the process parameters of the processing technology during the current injection mold processing; the modification event includes: executing the operating status data of the processing equipment to manually modify the operating status data to generate the operating status data of the current processing equipment, executing the process parameters of the processing technology to manually modify the process parameters to generate the process parameters of the current processing technology; it is also used to collect the ambient temperature data of the injection mold processing process in real time; in real time, compare the operating status data of the processing equipment with the preset operating status data of the processing equipment According to the range, the process parameters of the processing technology and the preset process parameter range of the processing technology, it is detected whether the difference between the currently collected ambient temperature and the currently collected temperature of the key part of the injection mold is less than the preset temperature difference, and the currently collected ambient temperature and the temperature of the key part of the injection mold are both outside the preset temperature range of the key part of the injection mold; if satisfied, it is correspondingly determined that there is no abnormality in the temperature of the key part of the injection mold during the current injection mold processing; it is also used to record in real time the moment when the current injection mold processing process is determined to have an abnormality and the specific type of processing data with the abnormality, and to determine whether there is a situation in which the current injection mold processing process is determined to have an abnormality within a preset time and the number of times the number of processing data with the abnormality is the same is greater than the preset number; if so, a control instruction to stop the injection mold processing is generated to control the stop of the processing.

[0069] The embodiment of the present application also discloses a computer-readable storage medium.

[0070] Specifically, the computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned injection mold processing monitoring method. The computer-readable storage medium includes, for example: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0071] The embodiment of the present application also discloses a computer device.

[0072] Specifically, the computer device includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute the above-mentioned injection mold processing monitoring method.

[0073] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for monitoring injection mold processing, characterized in that: include: Collect image data of the injection mold processing process in real time, and use machine vision recognition technology to identify the type and processing stage of the current injection mold; Real-time collection of processing data during the injection mold processing; the processing data includes: the temperature of key parts of the injection mold, the operating status data of the processing equipment and the process parameters of the processing technology; According to the identified type and processing stage of the current injection mold, preset processing data of the corresponding type and processing stage are searched from the injection mold processing database; the preset processing data includes: a preset temperature range of a key part of the injection mold, a preset operating status data range of the processing equipment, and a preset process parameter range of the processing technology; Compare the processing data with the preset processing data in real time to determine whether the temperature of the key part of the injection mold is outside the preset temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the preset operating status data range of the processing equipment, and the process parameters of the processing technology are outside the preset process parameter range of the processing technology; If so, it is determined that there is an abnormality in the current injection mold processing process, an abnormal warning message is generated, and a first control instruction is generated accordingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the preset operating status data range of the processing equipment and / or the parameters of the processing process to be within the preset process parameter range of the processing process; otherwise, no operation is performed.

2. The method for monitoring injection mold processing according to claim 1, characterized in that: Also includes: From the start of injection mold processing, start the processing time timing; Combined with the identified type and processing stage of the current injection mold, the processing time of a single processing stage of the current injection mold is counted; Whenever the processing time of a single processing stage of the current injection mold is counted, the processing time of the single processing stage of the current injection mold is compared with the corresponding standard processing time range; the corresponding standard processing time range is a preset processing time range of an injection mold of the same type and in the same processing stage as the current injection mold, which is searched from a standard time database; If no abnormal warning information is generated within the statistical processing time of a single processing stage of the current injection mold and the statistical processing time of a single processing stage of the current injection mold is outside the corresponding standard processing time range, it is determined that there is an abnormality in the processing process of the single stage of the current injection mold, and a corresponding warning information that there is an abnormality in the single processing stage of the injection mold is generated; otherwise, no operation is performed.

3. The method for monitoring injection mold processing according to claim 1, characterized in that: Also includes: According to the identified type and processing stage of the injection mold, when a change in the processing stage is identified, the injection mold processing process image data collected at the last moment is extracted; Inputting the extracted injection mold processing image data collected at the last moment into the second neural network model to obtain the output shape, size and surface roughness of the injection mold; the second neural network is trained and generated using the historical injection mold processing image data annotated with the shape, size and surface roughness of the injection mold; Searching from an injection mold processing database for a preset shape, size, and surface roughness after a processing stage corresponding to an injection mold of the same type and in the same processing stage as the injection mold at the previous moment; the injection mold processing database stores preset shapes, sizes, and surface roughness of different types of injection molds after a single processing stage; The shape, size and surface roughness of the output injection mold are compared with the preset shape, size and surface roughness; if there is any of the following situations: the similarity between the shape of the output injection mold and the shape of the preset injection mold is lower than the preset similarity, the difference between the size of the output injection mold and the size of the preset injection mold is greater than the preset size difference, and the surface roughness of the output injection mold is different from the surface roughness of the preset injection mold, then it is determined that there is an abnormality in a single processing stage of the injection mold at the previous moment, and a warning message indicating that there is an abnormality in a single processing stage of the injection mold is generated accordingly; at the same time, a control instruction to stop the injection mold processing is generated to control the stop of the processing.

4. The method for monitoring injection mold processing according to claim 3, characterized in that: Also includes: Receive the operator's request for secondary processing of the injection mold with abnormal processing stage and respond to it; when responding to the secondary processing request and starting the secondary processing operation, collect the processing data of the injection mold secondary processing in real time; Receiving manually set processing data input for secondary processing of the injection mold; the manually set processing data includes: a manually set temperature range of key parts of the injection mold, a manually set operating status data range of the processing equipment, and a manually set process parameter range of the processing technology; Compare the processing data with the manually set processing data in real time to determine whether the temperature of the key part of the injection mold is outside the manually set temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the manually set operating status data range of the processing equipment, and the process parameters of the processing technology are outside the manually set process parameter range of the processing technology; If so, it is determined that there is an abnormality in the current secondary processing of the injection mold, an abnormal warning message is generated, and a second control instruction is generated accordingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the manually set operating status data of the processing equipment and / or the parameters of the processing process to be within the manually set process parameter range of the processing process; otherwise, no operation is performed.

5. The method for monitoring injection mold processing according to claim 1, characterized in that: Also includes: While comparing the operation status data of the processing equipment with the preset operation status data range of the processing equipment and the process parameters of the processing technology with the preset process parameter range of the processing technology in real time, detecting whether there is a modification event; If there is a modification event, it is determined that there is no abnormality in the operating status data of the processing equipment or the process parameters of the processing technology during the current injection mold processing; the modification event includes: executing an artificial modification instruction for the operating status data of the processing equipment to generate the operating status data of the current processing equipment, and executing an artificial modification instruction for the process parameters of the processing technology to generate the process parameters of the current processing technology.

6. The method for monitoring injection mold processing according to claim 1, characterized in that: Also includes: Collect ambient temperature data of the injection mold processing process in real time; while comparing the operating status data of the processing equipment with the preset operating status data range of the processing equipment, and the process parameters of the processing technology with the preset process parameter range of the processing technology, detect whether the difference between the currently collected ambient temperature and the currently collected temperature of the key parts of the injection mold is less than the preset temperature difference, and whether the currently collected ambient temperature and the temperature of the key parts of the injection mold are both outside the preset temperature range of the key parts of the injection mold; if so, it is determined that there is no abnormality in the temperature of the key parts of the injection mold during the current injection mold processing.

7. The method for monitoring injection mold processing according to claim 1, characterized in that: Also includes: The time when the current injection mold processing process is judged to have an abnormality and the specific type of processing data with the abnormality are recorded in real time, and it is determined whether the number of times that the current injection mold processing process is judged to have an abnormality and the number of times the abnormal processing data type is the same within a preset time is greater than a preset number; if so, a control instruction to stop the injection mold processing is generated to control the stop of the processing.

8. An injection mold processing monitoring system, characterized in that: include: The injection mold type and processing stage recognition module is used to collect the image data of the injection mold processing process in real time and use machine vision recognition technology to identify the type and processing stage of the current injection mold; The processing data acquisition module of the injection mold is used to collect the processing data of the injection mold in real time during the processing; the processing data includes: the temperature of the key parts of the injection mold, the operating status data of the processing equipment and the process parameters of the processing technology; The preset processing data acquisition module of the injection mold is used to search the preset processing data of the corresponding type and processing stage from the injection mold processing database according to the identified type and processing stage of the current injection mold; the preset processing data includes: the preset temperature range of the key parts of the injection mold, the preset operating status data range of the processing equipment and the preset process parameter range of the processing technology; The injection mold processing process abnormality monitoring module is used to compare the processing data with the preset processing data in real time to determine whether there is any situation in which the temperature of the key part of the injection mold is outside the preset temperature range of the key part of the injection mold, the operating status data of the processing equipment is outside the preset operating status data range of the processing equipment, and the process parameters of the processing technology are outside the preset process parameter range of the processing technology; if so, it is determined that there is an abnormality in the current injection mold processing process, and an abnormal warning message is generated and a first control instruction is generated correspondingly using an adaptive control method to adjust the operating status data of the processing equipment to be within the preset operating status data range of the processing equipment and / or the parameters of the processing technology to be within the preset process parameter range of the processing technology; otherwise, no operation is performed.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A computer device, characterized in that: The computer device comprises a memory, a processor and a program stored and executable on the memory, and the program implements the steps of the method according to any one of claims 1 to 7 when executed by the processor.

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