Photocuring 3D printing quality intervention method and system

Abstract

The invention discloses a photocuring 3D printing quality intervention method and system. The method comprises the steps that current operation data and environment data of photocuring 3D printing equipment are collected; according to the current operation data, utilizing the printing quality evaluation model to evaluate the printing quality of the printing equipment; according to the environment data, an environment suitability index of the environment where the printing equipment is located is calculated; based on the printing quality, whether the influence of the environment where the printing equipment is located on printing reaches the degree needing intervention or not is analyzed according to the mapping relation between the historical operation data of the printing equipment and the historical actual printing quality; and if reaching the degree needing to be intervened, intervening the environmental data through the environmental regulation and control equipment based on the environmental suitability index. By utilizing the embodiment of the invention, the influence of the environment where the printing equipment is located on the printing quality can be accurately analyzed, intelligent regulation and control are implemented aiming at the insuitability of environmental conditions, the consistency and the stability of the printing quality are improved, and the overall production efficiency is improved.

Description

Technical Field

[0001] This invention belongs to the field of 3D printing technology, and in particular to a method and system for quality intervention in photopolymerization 3D printing. Background Technology

[0002] With the rapid development of photopolymer 3D printing technology, more and more industries are beginning to apply this technology for manufacturing complex parts and prototyping. However, the stability and consistency of print quality remains a significant challenge during the photopolymer 3D printing process. Print quality depends not only on the performance and parameter settings of the equipment itself, but also on the environmental conditions during the printing process.

[0003] Photopolymer 3D printing requires favorable environmental conditions to ensure proper curing of the printing material and achieve high-quality printing results. Environmental factors significantly impact light transmission, material flowability, and the curing reaction during the photopolymerization process. Instability and fluctuations in environmental conditions often lead to variations in operating conditions and random errors in print quality, reducing production efficiency and increasing the scrap rate of finished products. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for quality intervention in photopolymerization 3D printing, which addresses the shortcomings of existing technologies. This method can accurately analyze the impact of the printing equipment's environment on printing quality and implement intelligent control for unsuitable environmental conditions, thereby improving the consistency and stability of printing quality and enhancing overall production efficiency.

[0005] One embodiment of this application provides a method for quality intervention in photopolymerization 3D printing, the method comprising: The current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment are collected. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. Based on the current operating data, the printing quality of the printing device is evaluated using a pre-trained printing quality evaluation model. Based on the environmental data, calculate the environmental suitability index of the environment in which the printing equipment is located; Based on the assessed print quality, and according to the mapping relationship between the historical operating data of the printing equipment and the historical actual print quality, we analyze whether the impact of the environment in which the printing equipment is located on printing reaches a level that requires intervention. If the situation reaches a point where intervention is necessary, based on the environmental suitability index, environmental control equipment is used to intervene in the environmental data of the printing equipment so that the impact of the environment on printing is reduced to a level where no intervention is required.

[0006] Optionally, calculating the environmental suitability index of the environment where the printing device is located based on the environmental data includes: From the collected environmental data, filter the data values ​​of environmental factors related to print quality; The data values ​​of each environmental factor are converted into corresponding contribution score values ​​according to a preset data-score mapping table. The contribution score values ​​range from 0 to 1 and are used as the impact values ​​of the environmental factor on environmental suitability. The average value and standard deviation of historical data for each environmental factor are obtained, and combined with the contribution score, the environmental suitability index of the environment in which the printing equipment is located is calculated.

[0007] Optionally, the assessment-based print quality, based on the mapping relationship between historical operating data and historical actual print quality of the printing equipment, analyzes whether the impact of the printing environment on printing reaches a level requiring intervention, including: Find historical running data whose similarity to the current running data exceeds a preset threshold; Determine the actual historical print quality corresponding to each set of historical operating data. Based on the determined actual historical print quality, analyze whether the impact of the printing equipment's environment on printing reaches a level that requires intervention.

[0008] Optionally, the step of analyzing whether the impact of the printing equipment's environment on printing, based on the determined historical actual print quality, reaches a level requiring intervention includes: Obtain the highest and lowest historical actual print quality from the determined historical actual print quality ranges. Determine whether the assessed print quality falls within the range of historical actual print quality; If the print quality falls within the historical actual print quality range, the analysis indicates that the impact of the printing equipment's environment on printing has not reached a level requiring intervention; otherwise, the analysis indicates that the impact of the printing equipment's environment on printing has reached a level requiring intervention.

[0009] Optionally, the step of intervening in the environmental data of the printing equipment based on the environmental suitability index through environmental control equipment, so as to reduce the impact of the environment on printing to a level that does not require intervention, includes: By using environmental control equipment, the environmental data of the printing equipment is intervened, and the steps of collecting the current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment are returned, until the environmental suitability index is greater than the preset suitable value, and the analysis shows that the impact of the environment of the printing equipment on printing is reduced to a level that does not require intervention.

[0010] Another embodiment of this application provides a photopolymerization 3D printing quality intervention system, the system comprising: The acquisition module is used to acquire the current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. The evaluation module is used to evaluate the printing quality of the printing device based on the current operating data and using a pre-trained printing quality evaluation model. The calculation module is used to calculate the environmental suitability index of the environment in which the printing equipment is located based on the environmental data. The analysis module is used to analyze, based on the assessed print quality, whether the impact of the printing environment on printing reaches a level that requires intervention, according to the mapping relationship between the historical operating data of the printing equipment and the historical actual print quality. The intervention module is used to intervene in the environmental data of the printing equipment based on the environmental suitability index, through environmental control equipment, if the level of intervention is reached, so as to reduce the impact of the environment on printing to a level that does not require intervention.

[0011] Another embodiment of this application provides a storage medium storing a computer program, wherein the computer program is configured to execute the method described in any of the preceding claims when running.

[0012] Another embodiment of this application provides an electronic device including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the method described in any of the preceding claims.

[0013] Compared with existing technologies, this invention provides a method for quality intervention in photopolymer 3D printing. This method collects current operating data of the photopolymer 3D printing equipment and environmental data. Based on the current operating data, it uses a printing quality assessment model to evaluate the printing quality of the equipment. Based on the environmental data, it calculates the environmental suitability index of the environment in which the printing equipment is located. Based on the printing quality, it analyzes whether the impact of the environment on printing reaches a level requiring intervention, based on the mapping relationship between the historical operating data and historical actual printing quality of the printing equipment. If the impact reaches a level requiring intervention, it intervenes in the environmental data through environmental control equipment based on the environmental suitability index, reducing the impact of the environment on printing to a level where intervention is unnecessary. This allows for accurate analysis of the impact of the environment on printing quality and intelligent control of unsuitable environmental conditions, improving the consistency and stability of printing quality and enhancing overall production efficiency. Attached Figure Description

[0014] Figure 1A hardware structure block diagram of a computer terminal for a photopolymerization 3D printing quality intervention method provided in an embodiment of the present invention; Figure 2 A schematic flowchart of a photopolymerization 3D printing quality intervention method provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of a photopolymerization 3D printing quality intervention system provided in an embodiment of the present invention. Detailed Implementation

[0015] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0016] This invention first provides a method for quality intervention in photopolymerization 3D printing, which can be applied to electronic devices, such as computer terminals, specifically ordinary computers.

[0017] The following detailed explanation uses a computer terminal as an example. Figure 1 This is a hardware structure block diagram of a computer terminal for a photopolymerization 3D printing quality intervention method provided in an embodiment of the present invention. (See diagram below.) Figure 1 As shown, the computer device includes a processor, memory, and network interface connected via a system bus, wherein the memory may include non-volatile storage media and internal memory.

[0018] Non-volatile storage media can store operating systems and computer programs. These computer programs include program instructions that, when executed, cause the processor to perform any big data claims financial management method.

[0019] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0020] Internal memory provides an environment for the execution of computer programs in non-volatile storage media. When these computer programs are executed by a processor, the processor can perform any big data claims financial management method.

[0021] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0022] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0023] See Figure 2 The present invention provides a method for quality intervention in photopolymer 3D printing, which may include the following steps: S201, Collect the current operating data of the photopolymerization 3D printing equipment and the environmental data of the printing equipment. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. In the photopolymer 3D printing process, the stability of print quality is closely related to the operating parameters of the printing equipment and the state of the environment. Comprehensive collection of current operating and environmental data helps identify print quality deviations caused by fluctuations in environmental factors. Operating data includes multiple parameters such as printing speed, layer thickness, and light source intensity, while environmental data covers factors such as temperature, humidity, and light intensity. Real-time collection and analysis of this data helps build a dynamic adaptive mechanism, thereby optimizing the printing process.

[0024] Specifically, appropriate sensors can be placed at key locations on the printer (such as inside the printing chamber, near the laser, and in the material supply system) to monitor data on multiple environmental factors in real time, including temperature, humidity, light intensity, and airflow speed. For the printer's qS operating interface, multiple data acquisition modules can be integrated to simultaneously collect dynamic operational data during the printing process. A high-frequency data acquisition mode (e.g., once every 100 milliseconds) is employed to ensure real-time performance, recording changes in each printing parameter (such as layer thickness, printing speed, and light source power). Environmental data (such as ambient temperature and humidity) and operational data are recorded synchronously with corresponding timestamps to ensure data consistency and traceability. During data acquisition, a moving average filtering algorithm is used to smooth the data and reduce the impact of random noise; outlier detection algorithms (such as Z-score-based methods) are used to identify and remove data that does not conform to normal fluctuation ranges to reduce errors caused by instantaneous environmental changes. Data streaming technology is used to store the real-time acquired operational and environmental data in a database, supporting subsequent queries and analysis. The lifecycle of each data record can be set to ensure efficient use of storage space, and historical data can be archived regularly for long-term trend analysis. This ensures that all relevant operational and environmental data are collected accurately and efficiently during the photopolymerization 3D printing process, thus providing a solid data foundation for subsequent printing quality assessment and environmental suitability analysis.

[0025] S202, Based on the current operating data, evaluate the printing quality of the printing device using a pre-trained printing quality evaluation model; In the photopolymer 3D printing process, print quality assessment is crucial for ensuring product accuracy and reliability. By utilizing a pre-trained print quality assessment model, print quality can be automatically evaluated based on current operational data. This approach not only improves assessment efficiency but also leverages big data analytics to uncover potential influencing factors, thus providing a scientific basis for optimizing the printing process.

[0026] Specifically, features are extracted from historical printing data, including but not limited to printing speed, layer thickness, light source intensity, material type, printing time, ambient temperature, and humidity. These features are standardized to ensure the model can respond appropriately to changes in each feature. Suitable machine learning algorithms (such as random forest, support vector machine, or deep learning) are selected and trained using historical data to ensure the model effectively captures the impact of different features on print quality. Cross-validation is used to optimize the model, ensuring its stability and generalizability across different datasets. During model training, the contribution of each feature to print quality is analyzed to rank feature importance. SHAP (SHapley Additive exPlanations) values ​​or LIME (Local Interpretable Model-agnostic Exlanations) methods are used to interpret the model's predictions, identifying key factors affecting print quality. Changes in each feature during each printing operation are recorded to provide a basis for subsequent data summarization and model updates. During printing operation, the currently collected running data is input into the trained print quality evaluation model in real time. The model processes the current running data and generates real-time print quality data.

[0027] By employing the steps outlined above and utilizing a pre-trained print quality assessment model, the print quality of photopolymer 3D printing equipment can be accurately and efficiently evaluated, enabling automated and intelligent production management. This approach not only improves overall production efficiency but also enhances the flexibility and adaptability of photopolymer 3D printing technology.

[0028] S203, Calculate the environmental suitability index of the environment where the printing equipment is located based on the environmental data; The Environmental Suitability Index (ESI) is a quantitative indicator that comprehensively assesses the impact of environmental conditions on the performance of photopolymer 3D printing equipment. Calculating this index effectively identifies the degree of influence of the current environment on print quality, thus providing a scientific basis for the operation of the printing equipment. The index integrates the influence of multiple environmental factors, including temperature, humidity, and light intensity, reflecting a quantifiable level of environmental adaptability.

[0029] Specifically, data values ​​of environmental factors related to print quality can be filtered from the collected environmental data; Among numerous environmental factors, different factors have varying degrees of impact on print quality. Therefore, it is necessary to use data analysis to screen out factors with a high correlation to print quality (such as temperature, humidity, and light intensity). These factors can directly or indirectly affect the material curing effect and printing accuracy during the photopolymerization process. By identifying key environmental factors, the complexity of subsequent analyses can be simplified, allowing the model to focus more on important parameters and improving computational efficiency and accuracy. Simultaneously, it helps to simplify the calculation process of the environmental suitability index, improving the targeted nature of decision-making.

[0030] The data values ​​of each environmental factor are converted into corresponding contribution score values ​​according to a preset data-score mapping table. The contribution score values ​​range from 0 to 1 and are used as the impact values ​​of the environmental factor on environmental suitability. To quantify the impact of environmental factors on fitness, a scoring mapping table was established, converting the actual data values ​​of each environmental factor into contribution scores (between 0 and 1). These scores reflect the fitness of the environmental factor under existing conditions; higher scores indicate a greater contribution to fitness, and vice versa. This conversion process enables quantitative analysis. By setting clear scoring criteria, the impact of each environmental factor on print quality can be accurately assessed, laying the foundation for subsequent calculations of the environmental fitness index.

[0031] The average value and standard deviation of historical data for each environmental factor are obtained, and combined with the contribution score, the environmental suitability index of the environment in which the printing equipment is located is calculated.

[0032] By analyzing historical data to obtain the mean and standard deviation of each environmental factor, a statistical understanding of these factors can be provided. Combined with the previously calculated contribution scores, this data is used to calculate the environmental suitability index. This method fully considers the historical volatility of environmental factors, ensuring the stability and accuracy of the calculation results. Calculating the mean and standard deviation of historical data helps to set a reasonable benchmark, ensuring that the calculation of the environmental suitability index is not only based on the current state but also takes into account historical data trends. This method enhances the reliability and adaptability of the index, providing more convincing support for real-time environmental assessments. One formula for calculating the environmental suitability index is:

[0033] in, For environmental suitability index, Let i be the contribution score of the i-th environmental factor. Let i be the data value of the i-th environmental factor. The average of historical data for the i-th environmental factor. Let be the standard deviation of the historical data for the i-th environmental factor. Let i be the weight of the i-th environmental factor. This refers to the number of environmental factors.

[0034] This comprehensive calculation method allows the environmental suitability index to accurately reflect the relationship between current and historical environmental conditions, assessing the suitability of the environment for the printing process. This quantitative approach makes environmental monitoring more specific and actionable, providing a necessary basis for real-time control and subsequent improvement measures.

[0035] S204, based on the assessed print quality, analyzes whether the impact of the printing equipment's environment on printing reaches a level requiring intervention, based on the mapping relationship between the printing equipment's historical operating data and historical actual print quality. This step aims to assess the impact of the current environment on print quality by comparing the similarity between current printing equipment operating data and historical operating data, combined with historical actual print quality. This analysis process can identify whether the current environment has adversely affected the printing process, and whether this impact has reached a level requiring intervention. Specifically, a mapping relationship is first established using historical data, linking historical operating parameters with corresponding print quality, thereby supporting subsequent intervention decisions.

[0036] Specifically, it can search for historical running data whose similarity to the current running data is higher than a preset threshold; By calculating the similarity between current running data and historical running data (or by pre-determining similarity comparison rules based on human experience and determining the similarity based on these rules), historical data with similarity exceeding a set threshold is filtered out. One similarity calculation formula can be:

[0037] in, The overall similarity between current running data and historical running data. The data for the current running parameter j. For the data corresponding to the historical running parameter j, The weighting coefficient for the current running parameter j.

[0038] Determine the actual historical print quality corresponding to each set of historical operating data. Based on the determined actual historical print quality, analyze whether the impact of the printing equipment's environment on printing reaches a level that requires intervention.

[0039] Among them, the highest and lowest historical actual print quality among the determined historical actual print quality can be obtained to form a range of historical actual print quality. By obtaining the highest and lowest historical actual print quality values, a quality range can be established. This range serves as a standard for subsequent quality assessments, determining whether the current print quality is within acceptable limits. Creating a quality range provides a quantitative standard for subsequent decision-making, making the analysis more explicit. Establishing historical standards allows for better control and management of quality fluctuations during subsequent printing processes. For example, if the highest and lowest historical actual print quality are "Excellent" and "Normal," and print quality includes levels such as Excellent, Very Good, Good, Normal, Average, Poor, and Very Poor, then the historical actual print quality range is Normal to Excellent.

[0040] Determine whether the assessed print quality falls within the range of historical actual print quality; Verifying whether the current assessed print quality falls within the previously established historical print quality range directly informs operators about the extent to which the current environment affects print quality, providing decision support for whether to intervene subsequently.

[0041] If the print quality falls within the historical actual print quality range, the analysis indicates that the impact of the printing equipment's environment on printing has not reached a level requiring intervention; otherwise, the analysis indicates that the impact of the printing equipment's environment on printing has reached a level requiring intervention.

[0042] Based on the preceding assessment, further analysis is conducted to determine the actual impact of the current environment on the printing equipment. If the current assessed print quality is within historical range, the environmental impact is considered acceptable; otherwise, intervention is necessary. This step clarifies the extent of the current environment's impact on print quality, providing clear intervention criteria. This classification and judgment method allows for efficient handling of environmental impact issues and avoids unnecessary interventions.

[0043] S205, if the level of intervention is reached, based on the environmental suitability index, the environmental data of the printing equipment is intervened through environmental control equipment to reduce the impact of the environment on printing to a level where no intervention is required.

[0044] This step aims to intervene in the environment in which the printing equipment operates, based on the assessment results of the environmental suitability index, using environmental control equipment. When the assessment results indicate insufficient environmental suitability, meaning that factors affecting print quality exceed acceptable limits, the environmental control equipment will intervene and adjust relevant environmental parameters, such as temperature, humidity, and light intensity. The core of this process is to optimize the working environment to ensure that the printing equipment can operate under more suitable conditions, thereby reducing the negative impact of the environment on print quality.

[0045] Specifically, environmental control equipment can be used to intervene in the environmental data of the printing equipment, and the steps of collecting the current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment can be returned until the environmental suitability index is greater than the preset suitable value, and the analysis shows that the impact of the environment of the printing equipment on printing is reduced to a level that does not require intervention.

[0046] Environmental parameters are adjusted in real time using environmental control equipment to meet printing quality requirements. This process not only requires intervention in environmental parameters but also continuous feedback to the environmental data collection stage to monitor the adjusted environmental suitability index in real time, ensuring it reaches the preset suitable value. The entire process forms a cyclical feedback mechanism until environmental conditions are optimized to a point where intervention is no longer necessary.

[0047] Specifically, a fuzzy control model can be constructed to model the relationship between different environmental factors (such as temperature, humidity, and light intensity) and print quality. Real-time collected environmental data and environmental suitability indices are input into the fuzzy control system, and the input variables are fuzzified to represent different environmental states. Based on the fuzzified input data, a pre-defined fuzzy rule base is queried. These rules reflect the corresponding adjustment measures that should be taken under different environmental conditions (e.g., lowering temperature, increasing humidity, etc.). Using a fuzzy reasoning mechanism, the input is combined with rules to generate corresponding control outputs (e.g., specific environmental parameter adjustment values). The fuzzy output values ​​are clarified and converted into control commands to guide the environmental control equipment to perform corresponding operations. After the environmental adjustment is performed, the process returns to the environmental data acquisition stage to monitor in real time whether the environmental suitability index has improved until it reaches the preset value. This process is continuously repeated and adjusted in real time until the influence of the environment in which the printing equipment is located is reduced to a level that does not require intervention.

[0048] The above fuzzy control method enables the system to respond flexibly and efficiently to environmental changes, thereby continuously optimizing the quality performance of the photopolymerization 3D printing process.

[0049] As can be seen, the system collects current operating data of the photopolymer 3D printing equipment and environmental data; based on the current operating data, it uses a printing quality assessment model to evaluate the printing quality of the equipment; based on the environmental data, it calculates the environmental suitability index of the environment in which the printing equipment is located; based on the printing quality, it analyzes whether the impact of the environment on printing reaches a level requiring intervention by mapping the historical operating data and historical actual printing quality of the printing equipment; if it reaches a level requiring intervention, it intervenes in the environmental data through environmental control equipment based on the environmental suitability index, so as to reduce the impact of the environment on printing to a level that does not require intervention. This allows for accurate analysis of the impact of the environment on printing quality, and intelligent control is implemented for unsuitable environmental conditions, improving the consistency and stability of printing quality and enhancing overall production efficiency.

[0050] Another embodiment of the present invention provides a photopolymerization 3D printing quality intervention system, see [link to relevant documentation]. Figure 3 The system may include: The acquisition module 301 is used to acquire the current operating data of the photopolymerization 3D printing equipment and the environmental data of the printing equipment. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. Evaluation module 302 is used to evaluate the printing quality of the printing device based on the current operating data and using a pre-trained printing quality evaluation model. The calculation module 303 is used to calculate the environmental suitability index of the environment in which the printing device is located based on the environmental data. Analysis module 304 is used to analyze, based on the assessed print quality, whether the impact of the printing environment on printing reaches a level requiring intervention, according to the mapping relationship between the historical operating data of the printing equipment and the historical actual print quality. The intervention module 305 is used to intervene in the environmental data of the printing equipment based on the environmental suitability index, through environmental control equipment, if the level of intervention is reached, so as to reduce the impact of the environment of the printing equipment on printing to a level that does not require intervention.

[0051] As can be seen, the system collects current operating data of the photopolymer 3D printing equipment and environmental data; based on the current operating data, it uses a printing quality assessment model to evaluate the printing quality of the equipment; based on the environmental data, it calculates the environmental suitability index of the environment in which the printing equipment is located; based on the printing quality, it analyzes whether the impact of the environment on printing reaches a level requiring intervention by mapping the historical operating data and historical actual printing quality of the printing equipment; if it reaches a level requiring intervention, it intervenes in the environmental data through environmental control equipment based on the environmental suitability index, so as to reduce the impact of the environment on printing to a level that does not require intervention. This allows for accurate analysis of the impact of the environment on printing quality, and intelligent control is implemented for unsuitable environmental conditions, improving the consistency and stability of printing quality and enhancing overall production efficiency.

[0052] This invention also provides a storage medium storing a computer program, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

[0053] Specifically, in this embodiment, the storage medium can be configured to store a computer program for performing the following steps: S201, Collect the current operating data of the photopolymerization 3D printing equipment and the environmental data of the printing equipment. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. S202, Based on the current operating data, evaluate the printing quality of the printing device using a pre-trained printing quality evaluation model; S203, Calculate the environmental suitability index of the environment where the printing equipment is located based on the environmental data; S204, based on the assessed print quality, analyzes whether the impact of the printing equipment's environment on printing reaches a level requiring intervention, based on the mapping relationship between the printing equipment's historical operating data and historical actual print quality. S205, if the level of intervention is reached, based on the environmental suitability index, the environmental data of the printing equipment is intervened through environmental control equipment to reduce the impact of the environment on printing to a level where no intervention is required.

[0054] As can be seen, the system collects current operating data of the photopolymer 3D printing equipment and environmental data; based on the current operating data, it uses a printing quality assessment model to evaluate the printing quality of the equipment; based on the environmental data, it calculates the environmental suitability index of the environment in which the printing equipment is located; based on the printing quality, it analyzes whether the impact of the environment on printing reaches a level requiring intervention by mapping the historical operating data and historical actual printing quality of the printing equipment; if it reaches a level requiring intervention, it intervenes in the environmental data through environmental control equipment based on the environmental suitability index, so as to reduce the impact of the environment on printing to a level that does not require intervention. This allows for accurate analysis of the impact of the environment on printing quality, and intelligent control is implemented for unsuitable environmental conditions, improving the consistency and stability of printing quality and enhancing overall production efficiency.

[0055] This invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0056] Specifically, the aforementioned electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the aforementioned processor, and the input / output device is connected to the aforementioned processor.

[0057] Specifically, in this embodiment, the processor can be configured to perform the following steps via a computer program: S201, Collect the current operating data of the photopolymerization 3D printing equipment and the environmental data of the printing equipment. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. S202, Based on the current operating data, evaluate the printing quality of the printing device using a pre-trained printing quality evaluation model; S203, Calculate the environmental suitability index of the environment where the printing equipment is located based on the environmental data; S204, based on the assessed print quality, analyzes whether the impact of the printing equipment's environment on printing reaches a level requiring intervention, based on the mapping relationship between the printing equipment's historical operating data and historical actual print quality. S205, if the level of intervention is reached, based on the environmental suitability index, the environmental data of the printing equipment is intervened through environmental control equipment to reduce the impact of the environment on printing to a level where no intervention is required.

[0058] As can be seen, the system collects current operating data of the photopolymer 3D printing equipment and environmental data; based on the current operating data, it uses a printing quality assessment model to evaluate the printing quality of the equipment; based on the environmental data, it calculates the environmental suitability index of the environment in which the printing equipment is located; based on the printing quality, it analyzes whether the impact of the environment on printing reaches a level requiring intervention by mapping the historical operating data and historical actual printing quality of the printing equipment; if it reaches a level requiring intervention, it intervenes in the environmental data through environmental control equipment based on the environmental suitability index, so as to reduce the impact of the environment on printing to a level that does not require intervention. This allows for accurate analysis of the impact of the environment on printing quality, and intelligent control is implemented for unsuitable environmental conditions, improving the consistency and stability of printing quality and enhancing overall production efficiency.

[0059] The above description, based on the embodiments shown in the figures, details the structure, features, and effects of the present invention. The above description is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the figures. Any changes made in accordance with the concept of the present invention, or equivalent embodiments modified to have equivalent changes, that do not exceed the spirit covered by the specification and figures, should be within the protection scope of the present invention.

Claims

1. A method for quality intervention in photopolymerization 3D printing, characterized in that, The method includes: The current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment are collected. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. Based on the current operating data, the printing quality of the printing device is evaluated using a pre-trained printing quality evaluation model; Based on the environmental data, calculate the environmental suitability index of the environment in which the printing equipment is located; Based on the assessed print quality, and according to the mapping relationship between the historical operating data of the printing equipment and the historical actual print quality, we analyze whether the impact of the environment in which the printing equipment is located on printing reaches a level that requires intervention. If the situation reaches a point where intervention is necessary, based on the environmental suitability index, environmental control equipment is used to intervene in the environmental data of the printing equipment so that the impact of the environment on printing is reduced to a level where no intervention is required.

2. The method according to claim 1, characterized in that, The step of calculating the environmental suitability index of the environment in which the printing equipment is located based on the environmental data includes: From the collected environmental data, filter the data values ​​of environmental factors related to print quality; The data values ​​of each environmental factor are converted into corresponding contribution score values ​​according to a preset data-score mapping table. The contribution score values ​​range from 0 to 1 and are used as the impact values ​​of the environmental factor on environmental suitability. The average value and standard deviation of historical data for each environmental factor are obtained, and combined with the contribution score, the environmental suitability index of the environment in which the printing equipment is located is calculated.

3. The method according to claim 2, characterized in that, The assessment-based print quality, based on the mapping relationship between historical operating data and actual historical print quality of the printing equipment, analyzes whether the impact of the printing environment on printing reaches a level requiring intervention, including: Find historical running data whose similarity to the current running data exceeds a preset threshold; Determine the actual historical print quality corresponding to each set of historical operating data. Based on the determined actual historical print quality, analyze whether the impact of the printing equipment's environment on printing reaches a level that requires intervention.

4. The method according to claim 3, characterized in that, The analysis of whether the impact of the printing environment on printing, based on the determined historical actual print quality, reaches a level requiring intervention includes: Obtain the highest and lowest historical actual print quality from the determined historical actual print quality ranges; Determine whether the assessed print quality falls within the range of historical actual print quality; If the print quality falls within the historical actual print quality range, the analysis indicates that the impact of the printing equipment's environment on printing has not reached a level requiring intervention; otherwise, the analysis indicates that the impact of the printing equipment's environment on printing has reached a level requiring intervention.

5. The method according to claim 4, characterized in that, The step of intervening in the environmental data of the printing equipment based on the environmental suitability index, through environmental control equipment, to reduce the impact of the printing environment on printing to a level where intervention is unnecessary, includes: By using environmental control equipment, the environmental data of the printing equipment is intervened, and the steps of collecting the current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment are returned, until the environmental suitability index is greater than the preset suitable value, and the analysis shows that the impact of the environment of the printing equipment on printing is reduced to a level that does not require intervention.

6. A photopolymerization 3D printing quality intervention system, characterized in that, The system includes: The acquisition module is used to acquire the current operating data of the photopolymer 3D printing equipment and the environmental data of the printing equipment. The operating data includes the data values ​​of multiple printing parameters, and the operating data is subject to fluctuation errors due to environmental influences. The evaluation module is used to evaluate the printing quality of the printing device based on the current operating data and using a pre-trained printing quality evaluation model. The calculation module is used to calculate the environmental suitability index of the environment in which the printing equipment is located based on the environmental data. The analysis module is used to analyze, based on the assessed print quality, whether the impact of the printing environment on printing reaches a level that requires intervention, according to the mapping relationship between the historical operating data of the printing equipment and the historical actual print quality. The intervention module is used to intervene in the environmental data of the printing equipment based on the environmental suitability index, through environmental control equipment, if the level of intervention is reached, so as to reduce the impact of the environment on printing to a level that does not require intervention.

7. The system according to claim 6, characterized in that, The computing module is specifically used for: From the collected environmental data, filter the data values ​​of environmental factors related to print quality; The data values ​​of each environmental factor are converted into corresponding contribution score values ​​according to a preset data-score mapping table. The contribution score values ​​range from 0 to 1 and are used as the impact values ​​of the environmental factor on environmental suitability. The average value and standard deviation of historical data for each environmental factor are obtained, and combined with the contribution score, the environmental suitability index of the environment in which the printing equipment is located is calculated.

8. The system according to claim 7, characterized in that, The analysis module is specifically used for: Find historical running data whose similarity to the current running data exceeds a preset threshold; Determine the actual historical print quality corresponding to each set of historical operating data. Based on the determined actual historical print quality, analyze whether the impact of the printing equipment's environment on printing reaches a level that requires intervention.

9. A storage medium, characterized in that, The storage medium stores a computer program, wherein the computer program is configured to execute the method of any one of claims 1-5 when it is run.

10. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the method of any one of claims 1-5.

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