A method, apparatus, system, and storage medium for controlling the operation of a curing chamber.

Abstract

This application provides a method, apparatus, system, and storage medium for operating a curing chamber, relating to the field of 3D printing. The method includes: acquiring attribute data of a target curing object; determining a working strategy for the curing chamber to cure the target object based on the attribute data; and controlling the operation of the curing chamber based on the working strategy to cure the target object. This application achieves precision and automation in the curing process by automatically acquiring the attribute data of the target object and intelligently matching a customized working strategy accordingly. Compared to the traditional method relying on manual parameter selection, this significantly improves the product qualification rate. Simultaneously, by dynamically compensating and adjusting parameters based on environmental data, it balances curing efficiency and material performance stability. Especially in the field of denture fabrication, it can meet the surface precision requirements of thin-layer aesthetic restorations while ensuring the deep curing quality of large-volume restorations.

Description

Technical Field

[0001] This application relates to the field of 3D printing, and more specifically, to a method, apparatus, system, and storage medium for controlling the operation of a curing chamber. Background Technology

[0002] With the rapid development of 3D printing technology and the continuous expansion of its application fields, more and more high-performance materials are being developed and applied to 3D printing. These materials typically require a post-curing process after printing to achieve optimal physical properties and stability. However, current 3D printing post-curing equipment mainly relies on manual operation of the equipment parameters by the user. Because there are many different types of 3D printing materials on the market, each with its unique chemical composition and physical properties, this manual operation is prone to errors, especially when the material names or colors are similar. Non-professionals may select the wrong parameters, leading to poor curing results. Summary of the Invention

[0003] The purpose of this application is to provide a method, apparatus, system and storage medium for operating a curing chamber, so as to solve the above-mentioned problems existing in the prior art and improve the accuracy and efficiency of the curing process.

[0004] Firstly, a method for controlling the operation of a curing chamber is provided, which may include:

[0005] Obtain the attribute data of the target solidified object;

[0006] The working strategy of the curing chamber for curing the target object is determined based on the attribute data of the target object.

[0007] The curing chamber is controlled to operate based on the working strategy of the curing chamber for curing the target object, and the target object is cured.

[0008] In one possible implementation, the attribute data includes one or more of object type, material type, and physical properties;

[0009] The working strategy includes a compensation and adjustment strategy for one or more curing chamber working parameters, including the light source, curing light intensity, curing time, curing temperature, and nitrogen.

[0010] In one possible implementation, the method further includes: determining the working strategy for the curing box to cure the target curing object based on the attribute data of the target curing object and the correspondence between different configured attribute data and different working strategies. In another possible implementation, the method further includes:

[0011] Based on the environmental data corresponding to the target solidification object, a compensation adjustment strategy for the working strategy is determined.

[0012] In one possible implementation, the environmental data includes one or more of the following: 3D printer temperature, 3D printer light intensity, curing chamber temperature, and curing chamber light intensity.

[0013] The compensation and adjustment strategy includes compensation and adjustment strategies for curing light intensity, curing time, curing temperature, and one or more curing chamber operating parameters in nitrogen.

[0014] In one possible implementation, when the temperature of the 3D printer and / or the temperature of the curing chamber do not meet the ambient temperature reference, one or more curing chamber operating parameters, namely the curing time and curing light intensity, are compensated and adjusted; and / or, when the light intensity of the 3D printer does not meet the light intensity reference, one or more curing chamber operating parameters, namely the curing time and curing light intensity, are compensated and adjusted.

[0015] In one possible implementation, when the target cured object has physicochemical properties that are susceptible to thermal deformation, the working strategy includes a temperature adjustment strategy of stepped heating and cooling.

[0016] In one possible implementation, when the object type of the target curing object is an aesthetic type, the working strategy includes a combined adjustment strategy of reducing curing light intensity and extending curing time.

[0017] In one possible implementation, when the target cured object has physicochemical properties that make it prone to oxidative yellowing, the working strategy includes a nitrogen adjustment strategy involving the introduction of nitrogen gas.

[0018] In one possible implementation, a light source adjustment strategy for a light source of a corresponding wavelength is determined based on the material type of the target curing object.

[0019] In a second aspect, a curing chamber is provided, wherein the curing operation control device is used to perform the method described in any one of the first aspects.

[0020] Thirdly, a 3D printing system is provided, the system including a 3D printer, a curing chamber and a curing operation control device, wherein the 3D printer and the curing chamber are respectively communicatively connected to the curing operation control device;

[0021] The 3D printer is used to print and generate the target solidified object;

[0022] The curing chamber is used to cure the target object.

[0023] The curing operation control device is used to perform the method described in any one of the first aspects to control the operation of the curing chamber.

[0024] Fourthly, a computer storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of the first aspects.

[0025] Fifthly, a computer program product includes computer instructions that instruct a computing device to perform an operation corresponding to the method described in any of the first aspects.

[0026] This application provides a method for controlling the operation of a curing chamber. The method includes: acquiring attribute data of a target curing object; determining a working strategy for the curing chamber to cure the target object based on the attribute data; and controlling the operation of the curing chamber based on the working strategy to cure the target object. This application achieves precision and automation of the curing process by automatically acquiring attribute data of the target curing object (such as material type and physicochemical properties) and intelligently matching customized working strategies (covering adjustments to curing chamber working parameters such as light source wavelength, curing light intensity, temperature, and nitrogen). Compared to traditional methods relying on manual parameter selection, this significantly reduces the problems of insufficient or excessive curing caused by material misjudgment or parameter mismatch, greatly improving the product qualification rate. Simultaneously, by dynamically compensating and adjusting the curing chamber working parameters based on environmental data, it balances curing efficiency and material performance stability. Especially in the field of denture preparation, it can meet the surface precision requirements of thin-layer aesthetic restorations while ensuring the deep curing quality of large-volume restorations, ultimately making the product performance more aligned with clinical needs. It also lowers the operational threshold, allowing non-professionals to efficiently complete high-quality curing operations. Attached Figure Description

[0027] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A schematic diagram of an operation control system for a curing chamber provided in an embodiment of this application;

[0029] Figure 2 This is a flowchart illustrating an operation control method for a curing chamber provided in an embodiment of this application. Detailed Implementation

[0030] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0031] The operation control method for a curing chamber provided in this application embodiment can be applied to... Figure 1 In the 3D printing system shown, such as Figure 1 As shown, the system may include: a 3D printer, a curing chamber, and a curing operation control device. The 3D printer and the curing chamber are respectively connected to the curing operation control device.

[0032] A 3D printer is used to print and generate a target solidified object and send the attribute data of the target solidified object to a solidification chamber.

[0033] A curing chamber is used to cure the target object.

[0034] A curing operation control device is used to execute the operation control method of a curing chamber provided in this application; wherein, the curing operation control device is integrated into the curing chamber; the curing operation control device includes a program calling module and an intelligent control module; the program calling module is used to call or generate a customized curing program in real time according to input parameters (attribute data and environmental data, etc.); the intelligent control module is used to dynamically execute the working strategy and control the operation of the curing chamber hardware to achieve precise parameter adjustment and real-time feedback.

[0035] In one embodiment, the curing operation control device (including a program calling module and an intelligent control module) can be removed from the curing chamber and installed in a separate industrial control computer (IPC) or embedded controller device.

[0036] In another embodiment, the program calling module is separated from the curing operation control device and deployed to a cloud server or a local central server (such as the workshop's MES / PLM system server). The intelligent control module is retained locally in the curing chamber (deployed inside or near the curing chamber in an edge gateway / industrial computer).

[0037] In another embodiment, the program invocation module and intelligent control module of the curing operation control device are completely decoupled into independent microservices or IoT services. The program invocation module runs as a cloud service or a local background service. The intelligent control module is deployed on an embedded controller inside the curing chamber or on an edge computing node (such as an industrial IoT gateway) adjacent to the curing chamber. The curing chamber hardware is connected to the edge computing node via fieldbus (Modbus, CANopen, etc.) or I / O interfaces.

[0038] The communication module is used to realize data transmission between the 3D printer and the curing chamber. Furthermore, the data transmitted between the 3D printer and the curing chamber is encrypted through the configured encryption method to ensure data security.

[0039] With the rapid development of 3D printing technology and the continuous expansion of its application fields, more and more high-performance materials are being developed and applied to 3D printing. These materials typically require a post-curing process after printing to achieve optimal physical properties and stability. However, current 3D printing post-curing equipment mainly relies on users manually selecting preset curing programs suitable for specific materials. Because there are many different types of 3D printing materials on the market, each with its unique chemical composition and physical properties, different curing conditions (such as temperature and time) are required to achieve the ideal curing effect.

[0040] Specifically, the existing technology has the following problems:

[0041] Operational complexity: For non-professionals, it becomes difficult to correctly select the appropriate curing procedure when faced with a wide variety of material names and similar color codes.

[0042] High error rate: Manual selection of curing parameters is prone to errors, especially when dealing with different materials that look or have similar names. This can lead to incomplete or over-curing, affecting the quality and performance of the final product.

[0043] Inefficiency: Time is required to confirm the material type and corresponding curing procedure before each curing process, which reduces overall work efficiency.

[0044] This application provides a method for controlling the operation of a curing chamber to improve the accuracy and efficiency of the curing process and reduce the negative impact of human error.

[0045] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0046] Figure 2 This is a flowchart illustrating an operation control method for a curing chamber provided in an embodiment of this application. Figure 2 As shown, the method may include:

[0047] Step S210: Obtain the attribute data of the target solidified object.

[0048] Step S220: Determine the working strategy of the curing chamber for curing the target object based on the attribute data of the target object;

[0049] Step S230: Control the operation of the curing chamber based on the working strategy of the curing chamber for curing the target curing object, and cure the target curing object.

[0050] This method automatically matches appropriate working strategies by acquiring the attribute data of the target curing object, reducing manual intervention, shortening curing time, and improving overall production efficiency. Dynamically adjusting the working strategy based on the attributes of the target curing object avoids over-curing in traditional curing processes, effectively reducing energy consumption. It also avoids excessive equipment operation and unnecessary wear and tear, reducing equipment failure frequency, extending the lifespan of the curing chamber, and lowering maintenance costs.

[0051] As one possible implementation, attribute data may include one or more of object type, material type, and physical and chemical properties;

[0052] The working strategy may include compensation and adjustment strategies for one or more curing chamber working parameters, such as light source, curing light intensity, curing time, curing temperature, and nitrogen.

[0053] As one possible implementation method, the working strategy of the curing box for curing the target object is determined based on the attribute data of the target object and the correspondence between different attribute data and different working strategies.

[0054] Specifically, the correspondence between the attribute data of the target solidified object and the different configured attribute data and different working strategies can be as follows:

[0055] The curing chamber is configured with a correspondence between different attribute data and different curing times. Based on the attribute data of the target curing object, the curing time corresponding to that attribute data is determined.

[0056] Furthermore, the curing chamber is configured with the correspondence between different attribute data and different curing light intensities. Based on the attribute data of the target curing object, the curing light intensity corresponding to that attribute data is determined.

[0057] As one possible implementation, when the target curing object has physicochemical properties that are susceptible to heat deformation, the working strategy includes a temperature adjustment strategy of step heating and cooling.

[0058] Specifically, if the material of the target curing object is inherently prone to deformation under heat, a stepped heating and cooling method should be used. This prevents cracks from forming due to excessively rapid heating (heat dissipation) rates, which could lead to insufficient release of thermal stress. It also avoids reduced precision caused by uneven heating (heat dissipation). For example, this method is suitable for restorative and implant-grade resin materials, as well as resin materials used in crowns, bridges, and chin pads. The determination of whether a material type is inherently prone to deformation under heat includes comparing its coefficient of thermal expansion with a preset coefficient. If the coefficient of thermal expansion is higher than the preset coefficient, the material type of the target curing object is considered to be inherently prone to deformation under heat. The stepped heating and cooling method can include dividing the cooling process into multiple temperature segments (e.g., from 100℃→90℃→80℃…), and holding each temperature segment for a preset duration (e.g., 1 minute). This allows for the release of internal thermal stress by maintaining a constant temperature, or slows the cooling rate by reducing heat input, preventing sudden temperature drops. After curing, the fan power is automatically adjusted according to the difference between the actual temperature of the cavity and the target temperature: when the temperature difference is large (e.g., cavity temperature 80℃, target 25℃): the fan runs at high power to accelerate heat dissipation; when the temperature difference is small (e.g., 30℃→25℃): the fan reduces power to slow down the heat dissipation rate.

[0059] As one possible implementation, when the object type of the target object to be cured is an aesthetic type, the working strategy includes a combination of adjusting the curing light intensity and extending the curing time.

[0060] Specifically, when the photoinitiator in the resin material is exposed to strong light, it generates free radicals, which trigger the polymerization reaction to achieve curing. When the light intensity is too high, the free radical generation rate is too fast (e.g., 60mW / cm²), resulting in an instantaneous high concentration of free radicals in the system. Excessive free radicals will react with the organic groups in the resin in side reactions (e.g., oxidation reactions) to generate chromophores (e.g., quinone compounds), causing the material to turn yellow.

[0061] Therefore, based on Formula 1, while ensuring that the constant is kept constant, the curing light intensity is reduced and the curing time is extended.

[0062] Formula 1: Curing light intensity × curing time = total energy required for curing (constant);

[0063] For example, with a total energy of 300mW·min / cm², the following adjustments can be made:

[0064] Normal mode: 60mw / cm² × 5min = 300

[0065] Anti-yellowing mode: 30mw / cm²×10min=300 (free radical generation rate is reduced).

[0066] The current method can be used as a resin material for crown bridge guide plates.

[0067] As one possible implementation, when the target curing object has physicochemical properties that make it prone to oxidative yellowing, the working strategy includes a nitrogen adjustment strategy involving the introduction of nitrogen gas.

[0068] As one possible implementation, when the target curing object needs to undergo surface aesthetic treatment by coating a thin layer of resin, the working strategy includes a nitrogen conditioning strategy involving nitrogen filling.

[0069] Specifically, because oxygen (O2) reacts with free radicals in the UV-curable resin to generate stable peroxy radicals, the polymerization reaction is inhibited, resulting in incomplete curing of the resin surface and a sticky state. In a specific example, the thinner the coating (e.g., 0.1-0.5 mm), the larger the surface area in contact with oxygen, and the more pronounced the oxygen inhibition effect: For resins of conventional thickness (above 1 mm): the interior can cure normally, only the surface is sticky; For thin resins (<0.5 mm): the entire surface may fail to cure due to oxygen inhibition, resulting in a sticky surface and insufficient gloss.

[0070] Therefore, by introducing high-purity nitrogen (above 99.5%), the oxygen in the treated environment is replaced, reducing the oxygen concentration to below 0.1%, thus blocking the reaction pathway between oxygen and free radicals.

[0071] As one possible implementation, a light source adjustment strategy for a corresponding wavelength of light source is determined based on the material type of the target curing object.

[0072] Specifically, in the processing of photocurable materials, the photoinitiators contained in different materials have different response characteristics to the wavelength of the light source. Multi-wavelength synergistic curing technology integrates three light sources: 365nm, 385nm, and 405nm, and targets and matches the absorption characteristics of the materials.

[0073] The single-photon energies of 365nm and 385nm light sources are approximately 3.4eV and 3.2eV, respectively, which can quickly excite photoinitiators in the corresponding absorption bands and rapidly initiate polymerization reactions. However, their penetration depth in resin materials is only 0.1-0.3mm, which can easily lead to over-curing of the surface layer and insufficient curing of the deep layer.

[0074] The photon energy of a 405nm light source is about 3.06eV. Although the initiation efficiency is slightly lower, the penetration depth can reach 0.5-0.8mm (30%-50% higher than 385nm), which is suitable for achieving effective curing inside resin materials.

[0075] Specific light source adjustment strategies may include: First, 365nm and 385nm light sources are preferentially applied to the surface of the resin material, using high energy to quickly activate the surface photoinitiator, rapidly forming a curing layer, and ensuring high-precision restoration of surface details (such as texture and edge morphology) of the restoration.

[0076] The 405nm light source, with its strong penetrating power, penetrates deep into the material, compensating for the insufficient penetration of short wavelengths and stimulating the deep photoinitiator to continuously react, enabling the resin material to achieve uniform and complete curing from the surface to the inside, avoiding the problems of "hard outside and soft inside" or delamination.

[0077] The synergistic effect of multiple wavelength light sources in this method achieves differentiated and precise curing of the surface and deep layers: short-wavelength light sources, with their high energy, rapidly initiate surface polymerization, ensuring the immediate formation of fine surface structures; long-wavelength light sources, with their stronger penetrating power, penetrate deep into the material, driving the full curing of the deep resin. This combination ensures both high efficiency in surface curing and uniform curing of the entire material through a layered, progressive curing method, completely solving the problem of inconsistent surface and deep curing in traditional single-wavelength curing.

[0078] In specific examples, for thin-layer restorations such as veneers with a thickness of only 0.2-0.5mm, short-wavelength light sources of 365nm and 385nm are used as the primary source. Their high photon energy (3.2-3.4eV) rapidly excites the surface photoinitiator, achieving precise curing of the micron-level fine structures on the restoration surface (such as enamel texture and marginal lines), ensuring the morphological fit and optical simulation of the veneer with natural teeth. For large-volume restorations such as complete denture bases with a thickness of 3-5mm, a long-wavelength light source of 405nm is used as the core. With a penetration depth 30%-50% greater than 385nm (reaching 0.5-0.8mm), it penetrates deep into the material to excite the deep photoinitiator, solving the "hard outside, soft inside" delamination problem in traditional single-wavelength curing. This ensures uniform curing of the denture base from the surface to the core, significantly improving its fracture strength and clinical lifespan.

[0079] As one possible implementation method, a compensation adjustment strategy for the working strategy is determined based on the environmental data corresponding to the target solidified object.

[0080] Specifically, environmental data may include one or more of the following: 3D printer temperature, 3D printer light intensity, curing chamber temperature, and curing chamber light intensity.

[0081] Compensation strategies may include adjustments to one or more curing chamber operating parameters, such as curing light intensity, curing time, curing temperature, and nitrogen.

[0082] The compensation strategies include the following:

[0083] A. When the temperature of the 3D printer and / or the temperature of the curing chamber do not meet the ambient temperature reference, compensate and adjust one or more curing chamber operating parameters, including the curing time and curing light intensity.

[0084] This process may specifically include:

[0085] When the 3D printer temperature and / or curing chamber temperature is lower than the configured first temperature threshold, the resin material reaction rate decreases. In this case, the curing time can be extended, which means compensating for the curing time corresponding to the property data in the curing chamber's operating parameters. This calculation process can be expressed as: ; The curing time after compensation, The duration of persistence for the attribute data. This is the first temperature threshold (usually set to 20℃). This refers to the temperature of the 3D printer or the curing chamber. This is the first coefficient, usually set to 0.05 at the factory. In actual use, it can be modified within the allowable range, for example, changing 0.05 to 0.01.

[0086] And / or, compensate for and adjust the curing light intensity corresponding to the attribute data in the curing chamber's operating parameters. This calculation process can be expressed as: ; The cured light intensity after compensation. The curing light intensity corresponding to the attribute data. This is the second coefficient, which is usually set to 0.03 at the factory. In actual use, it can be modified within the allowable range, for example, changing 0.03 to 0.005.

[0087] When the 3D printer temperature and / or curing chamber temperature exceed the configured second temperature threshold, the resin material may over-cur. In this case, the curing time can be reduced, which means compensating for the curing time corresponding to the attribute data in the curing chamber's operating parameters. This calculation process can be expressed as: ; To reduce the curing time after curing, The duration of persistence for the attribute data. This is the second temperature threshold (usually set to 30℃). This refers to the temperature of the 3D printer or the curing chamber.

[0088] And / or, because the resin material may be over-cured, it is necessary to reduce the curing light intensity in the curing chamber's operating parameters. This calculation process can be expressed as: ; The cured light intensity after compensation. This represents the curing light intensity corresponding to the attribute data.

[0089] Furthermore, when customers have requirements for equal time, it is preferable to adjust the curing light intensity in the curing chamber's operating parameters; when customers have requirements for the color of the resin material, it is preferable to adjust the curing time corresponding to the attribute data in the curing chamber's operating parameters.

[0090] B. When the light intensity of the 3D printer does not meet the light intensity benchmark, compensate and adjust one or more curing chamber operating parameters, including the curing time and curing light intensity.

[0091] This process may specifically include:

[0092] When the light intensity of the 3D printer is less than the curing light intensity corresponding to the attribute data, the curing time corresponding to the attribute data in the curing chamber working parameters can be adjusted to compensate; or, the curing power can be increased.

[0093] When the light intensity of the 3D printer exceeds the curing light intensity corresponding to the attribute data, the curing time corresponding to the attribute data in the curing chamber's operating parameters can be reduced; or, the curing power can be reduced to avoid over-curing.

[0094] This application provides a method for controlling the operation of a curing chamber. The method includes: acquiring attribute data of a target curing object; determining a working strategy for the curing chamber to cure the target object based on the attribute data; and controlling the operation of the curing chamber based on the working strategy to cure the target object. This application achieves precision and automation of the curing process by automatically acquiring attribute data of the target curing object (such as material type and physicochemical properties) and intelligently matching customized working strategies (covering adjustments to curing chamber working parameters such as light source wavelength, curing light intensity, temperature, and nitrogen). Compared to traditional methods relying on manual parameter selection, this significantly reduces the problems of insufficient or excessive curing caused by material misjudgment or parameter mismatch, greatly improving the product qualification rate. Simultaneously, by dynamically compensating and adjusting parameters based on environmental data, it balances curing efficiency and material performance stability. Especially in the field of denture preparation, it can meet the surface precision requirements of thin-layer aesthetic restorations while ensuring the deep curing quality of large-volume restorations, ultimately making the product performance more aligned with clinical needs. It also lowers the operational threshold, allowing non-professionals to efficiently complete high-quality curing operations.

[0095] In another embodiment provided in this application, a computer storage medium is also provided, which stores instructions that, when run on a computer, cause the computer to execute any of the curing chamber operation control methods described in the above embodiments.

[0096] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute any of the curing chamber operation control methods described in the above embodiments.

[0097] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected," "coupled," or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0102] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the embodiments in this application are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments in this application.

[0103] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the embodiments of this application and their equivalents, then these modifications and variations are also intended to be included in the embodiments of this application.

Claims

1. A method for controlling the operation of a curing chamber, characterized in that, A curing operation control device is applied to a 3D printing system. The 3D printing system includes a 3D printer, a curing chamber, and a curing operation control device. The 3D printer and the curing chamber are respectively communicatively connected to the curing operation control device. The 3D printer is used to print and generate a target cured object. The curing chamber is used to cure the target object; the method includes: Obtain the attribute data of the target solidified object; The working strategy of the curing chamber for curing the target object is determined based on the attribute data of the target object. The curing chamber is controlled to operate based on the working strategy of the curing chamber for curing the target object, thereby curing the target object. Among them, based on the environmental data corresponding to the target solidification object, the compensation and adjustment strategy of the working strategy is determined; The environmental data includes one or more of the following: 3D printer temperature, 3D printer light intensity, curing chamber temperature, and curing chamber light intensity. The compensation and adjustment strategy includes compensation and adjustment strategies for curing light intensity, curing time, curing temperature, and one or more curing chamber operating parameters in nitrogen.

2. The method as described in claim 1, characterized in that, The attribute data includes one or more of the following: object type, material type, and physical and chemical properties; The working strategy includes a compensation and adjustment strategy for one or more curing chamber working parameters, including the light source, curing light intensity, curing time, curing temperature, and nitrogen.

3. The method as described in claim 2, characterized in that, The method further includes: Based on the attribute data of the target solidification object and the correspondence between different attribute data and different working strategies, the working strategy of the solidification box for solidifying the target solidification object is determined.

4. The method as described in claim 1, characterized in that, When the temperature of the 3D printer and / or the temperature of the curing chamber do not meet the ambient temperature reference, one or more curing chamber operating parameters, namely the curing time and curing light intensity, are compensated and adjusted; and / or, when the light intensity of the 3D printer does not meet the light intensity reference, one or more curing chamber operating parameters, namely the curing time and curing light intensity, are compensated and adjusted.

5. The method as described in claim 3, characterized in that, When the target curing object has physicochemical properties that are susceptible to heat deformation, the working strategy includes a temperature adjustment strategy of step-by-step heating and cooling.

6. The method as described in claim 3, characterized in that, When the object type of the target curing object is an aesthetic type, the working strategy includes a combination of adjusting the curing light intensity and extending the curing time.

7. The method as described in claim 3, characterized in that, When the target curing object has physicochemical properties that make it prone to oxidation and yellowing, the working strategy includes a nitrogen adjustment strategy involving the introduction of nitrogen gas.

8. The method as described in claim 3, characterized in that, Based on the material type of the target curing object, a light source adjustment strategy for the corresponding wavelength of the light source is determined.

9. A curing operation control device, characterized in that, The curing operation control device is used to perform the method according to any one of claims 1-8.

10. A computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of claims 1-8.

11. A computer program product comprising computer instructions that instruct a computing device to perform an operation corresponding to the method of any one of claims 1-8.

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