Water level indicating cup and method of designing its structural parameters

Abstract

The application is suitable for the technical field of water accumulation cup, and particularly relates to a water level indicating water accumulation cup and a structural parameter design method thereof. The water level indicating water accumulation cup comprises a cup body made of transparent material, a water collecting groove located at the bottom of the cup body, and a light guide convex rib circumferentially protruding on the outer wall of the cup body. The light guide convex rib is made of transparent material and has a mirror surface. The light guide convex rib is arranged at a preset warning water level on the cup body, and the preset warning water level is higher than the height of the top edge of the water collecting groove. When the water level in the cup body is lower than the preset warning water level, the light guide convex rib presents a bright halo under the irradiation of ambient light. When the water level in the cup body reaches or exceeds the preset warning water level, at least part of the light guide convex rib is in contact with the water level and becomes dark. The water level indicating water accumulation cup improves the observation convenience and use safety of the water accumulation cup.

Description

Technical Field

[0001] This application belongs to the technical field of water collection cups, and particularly relates to a water level indicating water collection cup and its structural parameter design method. Background Technology

[0002] Heavy-duty trucks, construction machinery, and diesel engines are generally equipped with oil-water separators, with a water collection cup at the bottom to collect water separated from the fuel. Drivers need to regularly check the water level in the water collection cup and manually open the drain valve at the bottom to drain the water when it reaches the warning line, to prevent water from entering the high-pressure common rail system and damaging the fuel injectors.

[0003] Most existing water level gauges use transparent plastic bodies, allowing drivers to visually determine the water level by observing the position of the oil-water interface inside the gauge. However, in actual use, the transparent outer wall of the gauge easily accumulates gum-like impurities from diesel fuel and dust and sludge from road driving, forming a semi-transparent layer of grime that severely obstructs vision, making it impossible for drivers to clearly identify the internal oil-water interface. While electronic water level sensors can be used in conjunction with instrument alarms, these sensors suffer from failure modes such as electrode corrosion, float jamming, and poor wiring contact, and are also costly. Summary of the Invention

[0004] This application provides a water level indicator water collection cup and its structural parameter design method, which can improve the problem of difficult water level observation in existing water collection cups.

[0005] In a first aspect, embodiments of this application provide a water level indicating collection cup, comprising: The cup body is made of transparent material; A water collection tank is located at the bottom of the cup body; and A light-guiding rib is circumferentially protruding on the outer wall of the cup body. The light-guiding rib is made of the transparent material and has a mirror-like surface. The light-guiding rib is positioned at a preset warning water level on the cup body, and the preset warning water level is higher than the top edge of the water collection tank. When the water level in the cup body is lower than the preset warning water level, the light-guiding rib presents a bright halo under ambient light. When the water level in the cup body reaches or exceeds the preset warning water level, at least a portion of the light-guiding rib comes into contact with the water level and darkens.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The water level indicator cup provided in this application uses circumferentially extending mirror-like light-guiding ribs on the outer wall of the cup to convert water level information into bright / dark visual signals using the principle of total internal reflection. When the water level is below the warning line, the light-guiding ribs emit a bright halo to attract attention. When the water level rises and touches the light-guiding ribs, total internal reflection is destroyed, creating a dark area. Users can judge the water level at a glance without finding an angle, wiping the cup, or using auxiliary lighting. It remains clearly visible even when oil is present or under the light of a flashlight at night. At the same time, this solution is achieved only through mold surface treatment, without adding any electronic components or moving parts, resulting in low unit cost and extremely high reliability. In addition, the light-guiding ribs are located at a preset warning water level above the top edge of the water collection tank. When the user observes a darkening, it indicates that the water collection tank is full but water has not yet entered the drain valve, leaving a safety margin and providing sufficient drainage reaction time, significantly improving the observation convenience and safety of the water collection cup.

[0007] In some embodiments, the outer wall of the cup body is provided with a matte texture within a preset width range behind the light guide rib.

[0008] In some embodiments, the refractive index of the transparent material is 1.50~1.53, and the light transmittance is ≥85%.

[0009] Secondly, embodiments of this application provide a method for designing structural parameters of a water level indicating water collection cup, used to manufacture a water level indicating water collection cup as described in any of the above embodiments, the method comprising: Obtain a design requirement description, and evaluate the completeness of the requirement information in the design requirement description to obtain the requirement type; wherein, the design requirement description is used to indicate at least one of the size requirement information, optical performance requirement information, or position requirement information of the light guide rib; When the requirement type is an incomplete requirement information mode, the requirement parameter space of the design requirement description is parsed to obtain constraint description information. Based on the constraint description information, candidate manufacturing intentions are determined, and parameter guidance suggestions for the design requirement description are output based on the candidate manufacturing intentions. The constraint description information is used to characterize at least one of the following: cup diameter, cup wall thickness, material refractive index, or drain valve interface height. The parameter guidance suggestions are used to recommend at least one of the following: recommended radius value, recommended height value, or recommended position value of the light guide rib. The system receives a confirmation instruction from the user regarding the parameter guidance suggestion, clears the required parameter space, generates a reset parameter space based on the parameter guidance suggestion and the confirmation instruction, and parses the confirmation instruction based on the reset parameter space to obtain the confirmed design parameters; wherein, the confirmed design parameters are used to characterize at least one of the radius, height, or position of the light guide rib after user confirmation. When the confirmed design parameters indicate the execution of a target manufacturing task, a target process parameter chain is generated based on the target manufacturing task; wherein, the target process parameter chain is used to characterize at least one of mold polishing accuracy parameters, injection temperature parameters, injection pressure parameters, cooling time parameters, or draft angle parameters.

[0010] The technical solutions described in this application embodiment have at least the following technical effects: The water level indicator cup structural parameter design method provided in this application first obtains the requirement type by acquiring the design requirement description and assessing its completeness. The design requirement description indicates at least one of the following: the size requirement of the light guide rib, optical performance requirement, or positional requirement. When the requirement information is determined to be incomplete, the requirement parameter space is parsed to extract constraint description information such as the cup diameter, wall thickness, material refractive index, or drain valve interface height. Based on this constraint information, candidate manufacturing intentions are determined, and recommended values ​​for the radius, height, or position of the light guide rib are proactively output as parameter guidance suggestions, thereby transforming vague user requirements into quantifiable parameters. The design scope is optimized; after receiving user confirmation instructions, the original requirement parameter space is cleared and a reset parameter space is generated based on guidance suggestions and confirmation instructions. Then, the confirmation instructions are parsed to obtain the design parameters such as radius, height, or position finally confirmed by the user. This context reset mechanism effectively reduces the interference of fuzzy historical information and improves the purity and accuracy of parameter determination. After confirming the design parameters to execute the target manufacturing task, a target process parameter chain containing specific process parameters such as mold polishing accuracy, injection temperature, injection pressure, cooling time, or draft angle is further generated based on the target manufacturing task, realizing a complete mapping from design parameters to executable processes. The entire method is centered on interactive guidance and context intelligent management, transforming the traditional trial-and-error process of light guide rib parameters that relies on engineer experience into a systematic and semi-automated parameter recommendation and confirmation process. This significantly reduces design iterations and communication costs caused by incomplete requirements. At the same time, by automatically generating process parameter chains that match actual production conditions, the first-time design success rate and manufacturing consistency of the light guide ribs for water accumulation cups are significantly improved. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a cross-sectional schematic diagram of the water level indicator water collection cup provided in the embodiments of this application; Figure 2 This is a flowchart illustrating the design method for the structural parameters of the water level indicator water collection cup provided in this application embodiment; Figure 3 This is a system schematic diagram of the light guide rib parameter configuration provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structural parameters design system for the water level indicator water collection cup provided in this application embodiment; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application.

[0013] The following are the labeling elements in the figure: 100. Water level indicator cup; 10. Cup body; 20. Water collection trough; 30. Light guide rib; 1101. Matte textured surface. Detailed Implementation

[0014] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0015] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0016] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly on that other component. When a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to that other component.

[0017] It should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0018] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0019] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0020] Most existing water level gauges use transparent plastic bodies, allowing drivers to visually determine the water level by observing the position of the oil-water interface inside the gauge. However, in actual use, the transparent outer wall of the gauge easily accumulates gum-like impurities from diesel fuel and dust and sludge from road driving, forming a semi-transparent layer of grime that severely obstructs vision, making it impossible for drivers to clearly identify the internal oil-water interface. While electronic water level sensors can be used in conjunction with instrument alarms, these sensors suffer from failure modes such as electrode corrosion, float jamming, and poor wiring contact, and are also costly.

[0021] Based on this, in order to improve the problems existing in the related technologies, the embodiments of this application provide the following solutions.

[0022] Please see Figure 1 This application provides a water level indicating water collection cup 100, which includes a cup body 10, a water collection tank 20, and a light guide rib 30, wherein: The cup body 10 is made of transparent material; the water collection tank 20 is located at the bottom of the cup body 10; the light guide rib 30 is circumferentially protruding on the outer wall of the cup body 10, the light guide rib 30 is made of transparent material and has a mirror surface; the light guide rib 30 is set at the preset warning water level height on the cup body 10, and the preset warning water level height is higher than the height of the top edge of the water collection tank 20. When the water level in the cup body 10 is lower than the preset warning water level height, the light guide rib 30 presents a bright halo under ambient light. When the water level in the cup body 10 reaches or exceeds the preset warning water level height, at least a part of the light guide rib 30 comes into contact with the water level and darkens.

[0023] It is understandable that the transparent material can be transparent polyamide PA12 (such as EMS Grilamid TR90) or transparent copolyester (such as PETG), etc., possessing sufficient mechanical strength to withstand fuel pressure and vibration impact during vehicle operation, and having good optical transparency, allowing ambient light to penetrate the wall of the cup body 10 and enter the light guide rib 30. The water collection tank 20 is located at the bottom of the cup body 10 and has a ring-shaped concave structure, used to collect water separated from diesel fuel, preventing water from re-mixing into the fuel due to shaking during vehicle operation. The light guide rib 30 is continuously protruding along the circumference of the cup body 10 on the outer wall of the cup body 10, and is also made of transparent material. The surface of the light guide rib 30 is mirror polished, and its surface roughness is usually Ra≤0.05μm. This mirror effect allows light to undergo total internal reflection inside the rib. The preset warning water level height is usually determined according to the height of the drain valve interface, generally set to the height of the drain valve interface plus a safety margin of 10mm to 20mm. When the water level in the cup body 10 is below the preset warning level, the medium surrounding the light guide rib 30 is air or diesel fuel. Light undergoes total internal reflection on the inner surface of the rib, causing the light guide rib 30 to display a bright halo under ambient light. Users can clearly see a bright line encircling the cup body 10. When the water level in the cup body 10 reaches or exceeds the preset warning level, water contacts the root of the light guide rib 30, breaking the total internal reflection condition. Light is coupled into the water, causing a sharp decrease in brightness in the contact area, forming a dark area. At this time, the user observes that at least a portion of the light guide rib 30 has darkened, and the height of the dark area is proportional to the water level, thus intuitively determining that the water level has reached the warning line and timely drainage is necessary.

[0024] As can be seen from the above, by setting the surface of the light guide rib 30 as a mirror and utilizing the principle of total internal reflection, the water level information is converted into a visual signal of the light guide rib 30's brightness / darkness changes, achieving a water level indication function without any electronic sensors or changes to the driver's observation habits. Compared with the existing technology that relies on visual identification of the oil-water interface inside the transparent cup 10, this solution overcomes the difficulties in observation caused by oil stains adhering to the cup wall, insufficient light, and similar colors of oil and water. The bright halo of the light guide rib 30 can automatically attract the driver's attention under various ambient light conditions (including when shining a flashlight at night), and the high brightness / darkness contrast allows users to judge the water level status at a glance without deliberately finding an angle. At the same time, the height relationship between the light guide rib 30 and the top edge of the water collection tank 20 ensures the rationality of the warning. When the water level reaches the light guide rib 30, the water collection tank 20 is full, but the water has not yet entered the drain valve, allowing sufficient reaction time. This structure does not add any moving parts or electronic components, has extremely low cost (only the mold is enhanced with a mirror polishing process), and extremely high reliability, significantly improving the practical value and user experience of the water collection cup.

[0025] In some embodiments, please refer to Figure 1A matte textured surface 1101 is provided on the outer wall of the cup body 10 and within a preset width range behind the light guide rib 30.

[0026] It can be understood that "behind" refers to the area of ​​the cup wall obscured by the light guide rib 30 when viewed from the outside of the cup body 10, that is, the surface of the cup wall directly opposite the light guide rib 30. The preset width range is usually 2mm to 5mm, that is, extending 1mm to 2.5mm on each side from the center line of the light guide rib 30. The matte texture 1101 can be formed on the surface of the mold cavity by electrical discharge machining (EDM) or chemical etching, and then transferred to the outer wall of the cup body 10 after injection molding. Its surface roughness Ra is controlled between 2.0μm and 5.0μm. The function of the matte texture 1101 is not to blur the cup body 10 as a whole, but to provide a dark, low-reflection optical background locally. When illuminated by ambient light, the area of ​​the matte texture 1101 undergoes diffuse reflection, with low and uniform brightness; while the light guide rib 30, due to mirror polishing, produces specular reflection or total reflection, with extremely high brightness. The difference in brightness between the two creates a strong visual contrast. If the surface behind the light guide rib 30 is smooth and transparent, the background may show messy images of fuel, filter, etc. inside the cup body 10, interfering with observation. The matte textured surface 1101 acts like a light-absorbing curtain, eliminating the interference from the transparent background behind it, making the bright ring of the light guide rib 30 more prominent.

[0027] This design, through the combination of the matte textured surface 1101 and the mirror-like light-guiding ribs 30, enhances the visual contrast of the light-guiding ribs 30, ensuring they remain clearly visible even with slight oil stains or in low ambient light. Simultaneously, the matte textured surface 1101 only covers the narrow area behind the light-guiding ribs 30, without affecting the transparency of other areas of the cup body 10, allowing users to still observe fuel color, impurities, and other information inside the cup body 10. Furthermore, the micro-textured surface 1101's uneven structure also possesses a self-cleaning effect: water flow effectively removes adhering oil stains, reducing the impact of a dirty background on contrast after long-term use.

[0028] In some embodiments, the refractive index of the transparent material is 1.50~1.53, and the light transmittance is ≥85%.

[0029] It is understandable that the refractive index is the key parameter determining whether total internal reflection occurs within the light guide rib 30. The critical angle for total internal reflection is... ,in The refractive index of the light guide rib material is 30. This represents the refractive index of the medium (air, diesel, or water) in contact with the rib. The refractive index of air is approximately 1.00, that of diesel is approximately 1.45, and that of water is approximately 1.33. When For air, the critical angle θ_c = arcsin(1.00 / 1.50) = 41.8°; for diesel, θ_c = arcsin(1.45 / 1.50) = 75.2°; and for water, θ_c = arcsin(1.33 / 1.50) = 62.5°. The actual light guide rib has a semi-circular cross-section, and light rays incident at different angles mostly satisfy the total internal reflection condition (except for a very narrow range close to the normal). If... If the angle is too low (e.g., less than 1.45), the critical angle for total internal reflection will be greater than 90° for diesel fuel, meaning that light cannot be totally reflected in diesel fuel, which may cause the light guide rib 30 to not light up in the oil area. If If the transmittance is too high (e.g., greater than 1.60), the material cost increases, and the significant difference in refractive index between the transmittance and water may result in an insignificant darkening effect upon contact with water (still exhibiting strong reflection). Therefore, 1.50~1.53 is the preferred range considering the compatibility with the three media. A transmittance of ≥85% ensures sufficient ambient light can penetrate the cup body 10 and enter the light guide rib 30. If the transmittance is too low (e.g., below 80%), the total amount of light entering the light guide rib 30 will be insufficient; even with good total internal reflection, the bright ring will appear dim and difficult to discern in low-light conditions. Transmittance can be controlled by the purity of the material and the type and amount of additives. Transparent polyamide PA12 and transparent copolyester can both meet this requirement.

[0030] This design, by limiting the refractive index and transmittance, ensures that the light guide rib 30 exhibits high brightness (total internal reflection) in both air and diesel media. On the other hand, it ensures that total internal reflection is effectively disrupted upon contact with water (moderate refractive index matching), forming a clear boundary line. The transmittance limit of ≥85% guarantees that the brightness of the light guide rib 30 can reach above the human eye's sensitivity threshold (typically ≥50 cd / m²) under common ambient light intensities (e.g., 100-500 lux). Furthermore, materials within this range typically possess good injection molding flowability and thermal stability, enabling precise replication of the mirror-like texture of the mold surface and achieving a surface quality of Ra≤0.05μm.

[0031] This application also provides a method for designing structural parameters of a water level indicator cup. In this method, the requirement type is obtained by acquiring a design requirement description and assessing its completeness. The design requirement description indicates at least one of the following: dimensional requirements, optical performance requirements, or positional requirements for the light guide rib 30. When the requirement information is determined to be incomplete, the requirement parameter space is parsed to extract constraint description information such as the cup body 10 diameter, wall thickness, material refractive index, or drain valve interface height. Based on this constraint information, candidate manufacturing intentions are determined, and recommended values ​​for the radius, height, or position of the light guide rib 30 are actively output as parameter guidance suggestions, thereby resolving ambiguities for users. The requirements are transformed into a quantifiable design range. After receiving the user's confirmation instruction, the original requirement parameter space is cleared and a reset parameter space is generated based on the guidance suggestions and confirmation instruction. Then, the confirmation instruction is parsed to obtain the design parameters such as radius, height, or position finally confirmed by the user. This context reset mechanism effectively reduces the interference of fuzzy historical information and improves the purity and accuracy of parameter determination. After confirming the design parameters to execute the target manufacturing task, a target process parameter chain containing specific process parameters such as mold polishing accuracy, injection temperature, injection pressure, cooling time, or draft angle is further generated based on the target manufacturing task, realizing a complete mapping from design parameters to executable processes. The entire method is based on interactive guidance and contextual intelligent management, transforming the traditional trial-and-error process of light guide rib 30, which relies on engineer experience, into a systematic and semi-automated parameter recommendation and confirmation process. This significantly reduces design iterations and communication costs caused by incomplete requirements. At the same time, by automatically generating process parameter chains that match actual production conditions, the first-time design success rate and manufacturing consistency of the light guide rib 30 are significantly improved.

[0032] To better understand the design method for the structural parameters of the water level indicator water accumulator provided in this application, the specific implementation process of the design method for the structural parameters of the water level indicator water accumulator provided in this application will be described below by way of example.

[0033] Figure 2 This application illustrates a method for designing the structural parameters of a water level indicating water collection cup according to an embodiment of the present application. The method includes: S100, obtain the design requirement description, and evaluate the completeness of the requirement information in the design requirement description to obtain the requirement type; wherein, the design requirement description is used to indicate at least one of the size requirement information, optical performance requirement information, or position requirement information of the light guide rib 30.

[0034] It can be understood that the design requirements description refers to the textual or numerical description of various design parameters of the light guide rib 30 in the water level indicator cup 100 to be manufactured, submitted by upstream designers or users through a human-computer interaction interface. Dimensional requirements include the cross-sectional radius of the light guide rib 30, the circumferential extension angle range of the rib, and the width of the rib on the wall of the cup body 10; optical performance requirements include the specular gloss level that the surface of the light guide rib 30 should achieve, the light transmittance requirements of the rib, and the visual appearance requirements of the rib under a standard light source; positional requirements include the distance from the centerline of the light guide rib 30 to the bottom of the cup body 10, the height difference between the lower edge of the rib and the top edge of the water collection tank 20, and the installation angle of the rib along the axial direction of the cup body 10. The requirement information completeness assessment refers to an automated classification process that checks each of the three requirements in the design requirements description according to preset information completeness judgment rules. Based on the evaluation results, the requirement types were divided into two categories: those with all three requirements clearly defined and without parameter conflicts were classified as "complete mode," while those with at least one missing piece of information or logical conflicts between parameters were classified as "incomplete requirement mode." Obtaining the requirement type provides a decision-making basis for subsequent branch processing—in the complete mode, the process directly proceeds to the design parameter execution stage, while in the incomplete requirement mode, a parameter-guided completion process is triggered.

[0035] For example, such as Figure 3 As shown, the design requirements description is obtained by the water level indicator water collection cup structural parameter design system. The system's human-computer interface includes a light guide rib 30 parameter input panel, which is divided into three sub-areas: size parameter area, optical parameter area, and position parameter area. Users fill in the known parameter values ​​one by one in the input panel. For unknown or uncertain parameters, they can check the "Wait for suggestions" mark. When the user submits, the system requirements analysis module performs a completeness assessment according to the following process: it checks whether there is at least one valid value in each of the three parameter areas. If there are valid values ​​in all three areas, it is determined to be in complete mode. If all input items in at least one area are in the "Wait for suggestions" state, it is determined to be incomplete requirement information mode. The requirement type result is written to the system memory status register in the form of an enumerated variable.

[0036] S200, when the requirement type is incomplete requirement information mode, the requirement parameter space of the design requirement description is parsed to obtain constraint description information, candidate manufacturing intentions are determined based on the constraint description information, and parameter guidance suggestions for the design requirement description are output based on the candidate manufacturing intentions; wherein, the constraint description information is used to characterize at least one of the following: the diameter of the cup body 10, the wall thickness of the cup body 10, the refractive index of the material, or the height of the drain valve interface, and the parameter guidance suggestions are used to recommend at least one of the following: the radius recommendation value, the height recommendation value, or the position recommendation value of the light guide rib 30 to the user.

[0037] The requirement parameter space can be understood as a temporary data storage set consisting of all valid parameters (regardless of quantity) obtained by the system from user input under the condition of incomplete requirement information. Parsing the requirement parameter space refers to the process of deriving reasonable value boundaries for unknown parameters from known parameters using constraint rules in the Jishui Cup product knowledge base. Constraint description information is the output generated after the physical constraint rules in the knowledge base are activated by known parameters in the current requirement parameter space. Candidate manufacturing intentions refer to the set of reasonable value ranges for each undetermined parameter extracted from the constraint description information. Parameter guidance suggestions are the output of extracting recommended values ​​from the candidate value ranges and presenting them to the user in a visual manner. The entire process, under the premise of incomplete requirement information, gradually narrows the uncertainty range of undetermined parameters using product structure constraints, material optical constraints, and geometric space constraints, ultimately providing users with evidence-based parameter completion suggestions.

[0038] For example, the knowledge base of the water collection cup product is deployed on the host computer in the form of a rule-based reasoning engine. The constraint rules stored in the knowledge base include: the proportional relationship between the diameter of the cup body 10 and the radius of the rib section (the larger the diameter of the cup body 10, the larger the radius of the rib section should be to maintain visual proportion coordination), the matching rule between the wall thickness of the cup body 10 and the embedding depth of the rib (a thicker cup body 10 allows the rib to have a greater embedding depth on the wall surface to improve structural strength), the optical constraint rule between the material refractive index and the curvature of the rib section (the lower the refractive index, the greater the curvature of the rib section should be to maintain total internal reflection optical intensity), and the interference avoidance rule between the height of the drain valve interface and the installation position of the rib (the installation height of the rib shall not be lower than the safe avoidance distance between the top of the drain valve interface and the top edge of the water collection tank 20). When the diameter of the cup body (10) is known in the requirement parameter space, the rule engine matches proportional relationship rules to calculate the candidate value range of the rib cross-section radius. When the material refractive index is known in the requirement parameter space, the rule engine matches optical constraint rules to verify or correct the candidate value range of the rib cross-section curvature. The intersection of the outputs of all activated rules is taken to obtain the final candidate manufacturing intent. Parameter guidance suggestions are presented in the form of an interactive interface pop-up panel. For each missing parameter, the panel displays the recommended value, minimum value, and maximum value. The recommended value is the median of the corresponding candidate value range in the candidate manufacturing intent.

[0039] In one possible implementation, in step S200, parameter-guided suggestions based on the candidate manufacturing intent and the description of design requirements are output, including: S210, acquire real-time operating condition data of the manufacturing equipment; wherein the real-time operating condition data is used to characterize at least one of the current temperature, current pressure or current operating status of the manufacturing equipment.

[0040] Real-time operating data refers to the dynamic parameters of manufacturing equipment such as injection molding machines and molds during operation. These parameters can be collected in real time through the equipment's PLC interface, sensor network, or industrial IoT platform, or they can be manually input. Examples include a mold temperature sensor reading of 35°C, a barrel temperature reading of 250°C, an injection pressure sensor reading of 65MPa, and the equipment being in standby mode.

[0041] S220, based on candidate manufacturing intentions and real-time operating data, outputs parameter guidance suggestions that describe design requirements.

[0042] It is understandable that real-time operating condition data is used as input to the equipment's capability boundary and fused with candidate manufacturing intentions. If the recommended rib cross-sectional radius in the candidate manufacturing intention is too small, the corresponding mold cavity rib forming groove width is too narrow, and the melt flow resistance is too high under the current mold temperature and injection pressure conditions, which may lead to incomplete mold filling or insufficient rib surface replication rate. In this case, the recommended value should be adjusted towards a more lenient direction. Based on the estimated range of candidate manufacturing intentions, real-time operating condition data is used to further filter out sub-ranges achievable by the equipment's current capabilities. Recommended values ​​are then extracted from these sub-ranges and output.

[0043] This setup, by using real-time operating data from the manufacturing equipment as dynamic constraints, allows for a secondary screening and correction of candidate manufacturing intentions, achieving a leap from theoretical feasibility to practical execution of parameter-guided recommendations. Traditional methods for determining design parameters often rely on offline manuals or empirical formulas, neglecting the actual state of the equipment (such as capacity range, mold temperature fluctuations, pressure drift, and equipment aging). This leads to problems in actual production, such as incomplete mold filling, poor surface replication, and even frequent alarm shutdowns, where theoretically recommended parameters fail to meet these conditions. This solution acquires the current temperature, pressure, and operating status of the manufacturing equipment in real time through PLC interfaces, sensor networks, or industrial IoT platforms. This dynamic data, reflecting the real-time capacity boundaries of the equipment, serves as the basis for a secondary screening of candidate manufacturing intentions, significantly improving the executability of parameter-guided recommendations. Specifically, when the radius of the recommended light guide rib in the candidate manufacturing intent is too small, the width of the corresponding mold cavity rib forming groove is too narrow. If real-time operating data shows that the mold temperature is too low (poor melt flowability) or the injection pressure is insufficient, the system can automatically identify that the theoretically recommended value falls into the gray area of ​​"theoretically feasible but practically unattainable," and dynamically adjust the recommended value towards a larger radius and more reliable molding, thereby reducing trial mold failures caused by insufficient equipment capacity. Similarly, if real-time operating data shows that the current equipment operating status is in a stable high-precision zone (e.g., mold temperature and pressure fluctuations are less than ±1%), the system can select recommended parameters that are closer to the theoretical optimal value from the candidate manufacturing intent range, fully utilizing the equipment's potential.

[0044] In one possible implementation, in step S200, when the requirement type is incomplete requirement information mode, the requirement parameter space of the design requirement description is parsed to obtain constraint description information, and candidate manufacturing intentions are determined based on the constraint description information, including: S230, when the requirement type is incomplete requirement information mode, perform a parameter space saving operation for the design requirement description to obtain the requirement parameter space of the design requirement description.

[0045] The parameter space saving operation is understood to be the process of storing all data in the requirement parameter space as a file into non-volatile memory before the system begins parsing the requirement parameters. The purpose of saving is to provide a rollback point for subsequent cancellation or change operations. When a user is dissatisfied with the parameter guidance suggestions provided by the system and chooses to cancel, the system restores the saved requirement parameter space to the initial state when the user submitted the design requirement description, eliminating the need for the user to re-enter the parameters already filled in.

[0046] S240, the parameter space of the requirement is parsed to obtain the parameter parsing result of the design requirement description. If the parameter parsing result includes constraint description information, the candidate manufacturing intention corresponding to the design requirement description is determined based on the constraint description information. The candidate manufacturing intention is used to characterize at least one of the candidate value range of radius, candidate value range of height, or candidate value range of position of the light guide rib 30.

[0047] It is understandable that the parsing methods include entity recognition and relation extraction in natural language processing, or template-based rule matching. For example, if a user inputs "cup body 10 has a diameter of approximately 80 mm, a wall thickness of 3 mm, a material of PA12, and a drain valve height of approximately 40 mm," the parsing result will extract key-value pairs such as "cup body 10 diameter = 80 mm," "wall thickness = 3 mm," "material = PA12," and "drain valve height = 40 mm." If the parsing result contains these constraint descriptions, the system further determines candidate manufacturing intentions based on them. The specific manifestation of candidate manufacturing intentions is the radius candidate value range, height candidate value range, or position candidate value range of the light guide rib 30. The method for determining these ranges is based on pre-established design formulas or lookup tables. For example, the relationship between the radius R of the light guide rib 30 and the diameter D of the cup body 10 can be expressed as R = (0.015~0.02) × D. When D = 80 mm, R = 1.2~1.6 mm. The relationship between the height H_ring of the light guide rib 30 and the radius R is H_ring = (1.0~1.2) × R. When R = 1.2 mm, H_ring = 1.2~1.44 mm. The relationship between the distance H_position of the light guide rib 30 from the bottom of the cup and the height h_valve of the drain valve is H_position = h_valve + (10~15 mm). When h_valve = 40 mm, H_position = 50~55 mm. Thus, the system outputs a candidate manufacturing intention containing three interval parameters.

[0048] This setup transforms vague user language into structured parameter ranges, achieving a conversion from natural language to engineering data. It solves the design gap problem caused by imprecise requirement descriptions in traditional manufacturing. By storing parameters in the space, the system can record a complete design dialogue history, facilitating subsequent auditing and optimization. By deriving candidate intents from constraint description information, the system embeds professional knowledge such as design specifications, materials mechanics, and optical principles into algorithm rules, enabling even non-professional users to obtain professional parameter recommendations.

[0049] In one possible implementation, after parsing the requirement parameter space to obtain the parameter parsing result of the design requirement description in step S240, the method further includes: S250, when the parameter analysis results indicate that historical successful cases need to be referenced, calls the historical experience database retrieval skill to obtain historical successful case data of the manufacturing scenario in which the manufacturing equipment is located; among them, the historical successful case data includes existing light guide rib 30 design parameter combinations that match the current cup body 10 diameter, material refractive index or optical requirements.

[0050] It can be understood that the historical experience database refers to a database-organized archive of parameter combinations in the intelligent manufacturing auxiliary system for water-collecting cups, recording all successfully completed water-collecting cup manufacturing tasks. When the candidate value range of a certain parameter in the candidate manufacturing intention is too wide and cannot be further narrowed through structural and material constraints, the system automatically marks the parameter as "requiring reference to historical successful cases." The parameter combinations in the historical successful case data have been verified as successful in actual production. The light guide ribs 30 manufactured according to these parameter combinations have met quality standards in both one-time molding pass rate and optical performance testing. By calling historical successful cases that match known parameters such as the diameter and refractive index of the current cup body 10, the system can further identify recommended values ​​with a higher probability of success within a wide range of candidate values.

[0051] S260 searches through historical successful case data to find case information that is most similar to the current design requirement description, and generates parameter guidance suggestions based on the case information for the design requirement description.

[0052] It's understandable that similarity calculations can use Euclidean distance or cosine similarity, comprehensively considering differences in cup diameter, material refractive index, and keyword matching for optical requirements. For example, there's a case in the historical database: a cup diameter of 82mm, material PA12, and a requirement for "high brightness." The final light guide rib used had a radius of 1.25mm, a height of 1.25mm, and a position of 52mm. This case has a high similarity to the current requirement (cup diameter of 80mm, material PA12, and a requirement for "high brightness"), so the system will use the design parameters of this case as parameter guidance suggestions to output to the user.

[0053] This setup not only improves the success rate of initial design through case-based guidance, but also continuously enhances the system's intelligence as the case library expands.

[0054] S300 receives a confirmation command from the user regarding the parameter guidance suggestion, clears the required parameter space, generates a reset parameter space based on the parameter guidance suggestion and the confirmation command, and performs parameter parsing on the confirmation command based on the reset parameter space to obtain the confirmed design parameters; wherein, the confirmed design parameters are used to characterize at least one of the radius, height or position of the light guide rib 30 after user confirmation.

[0055] It is understandable that the confirmation command is the user's final decision-making operation regarding the parameter guidance suggestions output by the system. After user confirmation, the system clears the requirement parameter space temporarily saved in the incomplete requirement information mode, and regenerates a reset parameter space containing complete values ​​of all parameters based on the recommended values ​​in the parameter guidance suggestions and the user's modifications in the confirmation interface. The confirmed design parameters are the final set of parameters for the light guide rib 30 extracted from the reset parameter space and used to drive the subsequent manufacturing process. These parameters include the final confirmed value of the rib cross-sectional radius, the final confirmed height of the rib centerline from the bottom of the cup body 10, and the final confirmation of the start and end positions of the rib in the circumference of the cup body 10.

[0056] In one possible implementation, after obtaining the confirmation design parameters by parsing the confirmation instruction based on the reset parameter space in step S300, the method further includes: S301: If the design parameters indicate rejection of parameter guidance suggestions or cancellation of candidate manufacturing intentions corresponding to the design requirement description, a task cancellation instruction is generated. Based on the task cancellation instruction, the parameter space is cleared and reset, and the processing flow of the design requirement description is terminated.

[0057] It is understandable that when a user rejects the system's parameter guidance suggestions or actively cancels all processing flows corresponding to the current design requirement description, the system rolls back to the state before the initial acceptance of the design requirement description and releases all intermediate data.

[0058] S302, if it is confirmed that the candidate manufacturing intention corresponding to the design requirement description indicated by the design parameters has changed, a task change instruction is generated, and the parameter space is cleared and reset based on the task change instruction and the processing flow of the confirmation instruction is entered.

[0059] It is understandable that when a user modifies basic parameters such as the diameter of the cup body 10 or the refractive index of the material during the confirmation process, resulting in a fundamental change in the candidate manufacturing intent, the system will clear the data and automatically re-trigger the parsing and guidance process from S240 to S260 to recalculate the recommended values ​​for the changed basic parameters.

[0060] With this setup, in real-world design scenarios, users rarely accept all the system's suggestions at once and often need to make repeated adjustments. Through explicit task cancellation and change instructions, the system can accurately understand the user's intent and take consistent state reset actions, thus improving the user experience.

[0061] S400, if the design parameters indicate that the target manufacturing task should be performed, a target process parameter chain is generated based on the target manufacturing task; wherein, the target process parameter chain is used to characterize at least one of the following parameters: mold polishing accuracy parameter, injection temperature parameter, injection pressure parameter, cooling time parameter, or draft angle parameter.

[0062] It can be understood that confirming the design parameters and instructing the execution of the target manufacturing task means that the design parameters of the light guide rib 30, which are finally confirmed by the user, have passed the verification of completeness, rationality, and manufacturability, and the system recognizes that the parameter set meets the conditions for starting actual production. The target manufacturing task is a complete manufacturing task description body built around the confirmed design parameters, containing all structural dimensions, optical performance indicators, and installation position coordinates of the light guide rib 30. The target process parameter chain refers to a complete sequence of process parameter instructions generated from the target manufacturing task, following the process flow of injection molding. This sequence covers all process stages from mold cavity preparation to product demolding. The mold polishing accuracy parameter specifies the target surface roughness value (usually calibrated by Ra value) and polishing grade requirements for the groove surface in the mold cavity used to form the light guide rib 30. The injection temperature parameter includes the temperature set values ​​for each heating zone of the barrel and the temperature set value for the mold cavity surface. The injection pressure parameter includes the set values ​​for injection pressure, holding pressure, and back pressure, as well as the time allocation for each pressure stage. The cooling time parameter specifies the duration of cooling and solidification of the melt within the mold cavity. The draft angle parameter specifies the draft angle of the light guide rib 30 sidewall to reduce demolding resistance and prevent deformation or tearing of the rib during ejection. By generating a target process parameter chain, the design requirements described in the confirmed design parameters as "what it should look like" are transformed into process parameter instructions that the injection molding machine controller can directly execute.

[0063] It should be noted that in the existing manufacturing process of water-collecting cups, after receiving the design drawings of the light guide rib 30, operators need to rely on experience to determine the appropriate process parameters such as mold polishing grade, injection temperature, injection pressure, cooling time, and draft angle. Parameter setting depends entirely on the operator's experience and intuition; different operators may set completely different combinations of process parameters for the same design parameters, leading to significant differences in product quality between different batches and production lines. This method, by automatically generating a standardized target process parameter chain after confirming the design parameters, eliminates the influence of differences in human experience on process parameter setting. This ensures that the same confirmed design parameters are executed with the same combination of process parameters across different production batches, production lines, and operators, fundamentally guaranteeing the consistency and reproducibility of the optical performance of the light guide rib 30. In one possible implementation, in step S400, if it is confirmed that the design parameters indicate the execution of the target manufacturing task, a target process parameter chain is generated based on the target manufacturing task, including: S410: If the design parameters indicate that the target manufacturing task should be executed, process execution instructions are generated based on the target manufacturing task.

[0064] It can be understood that process execution instructions encode the design parameter information (such as rib radius, height, position, and surface roughness requirements) in the target manufacturing task into a standardized digital instruction format that the injection molding machine can recognize. For example, the instruction content is "TASK_EXECUTE, light guide rib radius 1.2mm, height 1.2mm, position 52mm, material PA12".

[0065] S420, the process execution command is parsed to obtain the parsing result. The parsing result includes feature identification information corresponding to multiple manufacturing features associated with the target manufacturing task, as well as the feature association relationship between multiple manufacturing features. Among them, the feature identification information is used to characterize at least one of the radius, height, position or surface roughness of the light guide rib 30.

[0066] Manufacturing features refer to the individual characteristic elements decomposed from the target manufacturing task that have an independent and non-negligible impact on the quality of the final product during the injection molding process. Feature identification information is a parametric description of each manufacturing feature, including its geometry, dimensions, location coordinates, and surface quality requirements. Feature relationships refer to the dependencies between manufacturing features in manufacturing processes, such as spatial relationships (e.g., the light guide rib 30 is located at a certain height on the outer wall of the cup body 10) and causal dependencies (e.g., the radius determines the draft angle).

[0067] S430 generates an initial process parameter chain corresponding to the target manufacturing task based on the feature recognition information and feature association relationships corresponding to multiple manufacturing features. The initial process parameter chain contains process elements corresponding to the process steps required to achieve the target manufacturing task.

[0068] This can be understood as a theoretical, complete sequence of process steps in the initial process parameter chain, without considering whether any preconditions have been met. Each process element in the chain is arranged in the order of process dependencies, and the output condition of the previous process is the input condition of the next process.

[0069] S440, remove the process elements corresponding to the omissionable process steps from the initial process parameter chain to obtain the target process parameter chain; wherein, the omissionable process steps are used to characterize the process steps that can be skipped because the current surface roughness of the mold meets the mirror surface requirement, the draft angle meets the design requirements, or the current state of the equipment does not require repeated execution.

[0070] It is understandable that the logic for determining which process steps can be omitted is based on a comparison between real-time monitoring data of the current state of the mold and equipment and the target process requirements. By eliminating omitting steps, the target process parameter chain removes unnecessary repetitive operations while ensuring the final molding quality, thus shortening the production cycle.

[0071] This setup, by identifying and eliminating skippable process steps, enables dynamic optimization of the process parameter chain, reducing unnecessary waste of time and resources. In traditional manufacturing, process steps are often fixed; even if the mold is in an ideal state, workers still execute all steps according to the Standard Operating Procedure (SOP), resulting in inefficiency. This solution intelligently determines which steps can be skipped by real-time monitoring of mold surface quality, demolding mechanism position, and other conditions, thereby shortening the production cycle and reducing energy consumption.

[0072] In one possible implementation, step S440 involves removing process elements corresponding to omissionable process steps from the initial process parameter chain to obtain the target process parameter chain, including: S441, obtain the current measured value of the surface roughness of the mold or the current position status of the demolding mechanism.

[0073] It can be understood that the current measured surface roughness value of the mold refers to the actual surface roughness value of the groove forming surface used to form the light guide rib 30 in the mold cavity after the previous production cycle, obtained by the mold cavity surface roughness detection sensor or offline roughness detector. The current position state of the demolding mechanism refers to the actual stopping position of the demolding platen or ejector rod after the injection molding machine opens the mold.

[0074] S442, compare the measured surface roughness value with the target mirror surface requirement. If the measured surface roughness value is better than or equal to the target mirror surface requirement, mark the polishing process step in the initial process parameter chain as an omissionable process element.

[0075] It is understandable that if the surface roughness Ra value of the mold cavity rib forming surface is equal to or lower than the Ra value required for the target mirror surface (Ra 0.05 micrometers or less) before the start of the current production cycle, it indicates that the surface degradation of the mold accumulated in the previous production cycle has not yet exceeded the lower limit of quality, and polishing is not required before directly entering the next injection molding cycle.

[0076] S443, compare the current position of the demolding mechanism with the preset demolding position. If the demolding mechanism is already in the demolding completed state, mark the demolding preparation step in the initial process parameter chain as an omissionable process element.

[0077] It is understandable that if the ejector plate or ejector rod has already stopped at the preset demolding completion position after the previous demolding action, then the demolding mechanism does not need to repeat the return action at the beginning of the new injection cycle.

[0078] S444: Remove the marked omitible process elements from the initial process parameter chain to obtain the target process parameter chain.

[0079] It is understandable that the target process parameter chain after removing omitting process elements is the final execution parameter sequence sent to the injection molding machine controller. This sequence has been dynamically simplified and optimized according to the real-time status of the mold and equipment, achieving the shortest invalid time consumption while ensuring molding quality.

[0080] This setup specifies and measures the conditions for omitting process steps, avoiding the uncertainty caused by subjective judgment. By detecting the actual roughness of the mold surface, the system can determine whether polishing is necessary based on objective data, which is particularly suitable for multi-batch continuous production scenarios. By detecting the position status of the demolding mechanism, the system can automatically identify whether a reset operation is needed, preventing equipment damage caused by previous abnormalities. These two scenarios are the most common and time-consuming auxiliary steps in the injection molding production of water-collecting cups, and the benefits of their optimization are significant.

[0081] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0082] Corresponding to the design method for the structural parameters of the water level indicating water accumulator described in the above embodiments, this application also provides a design system for the structural parameters of the water level indicating water accumulator. Each module of this system can implement each step of the design method for the structural parameters of the water level indicating water accumulator. Figure 4 The diagram shows a structural block diagram of the water level indicator water collection cup structural parameter design system provided in the embodiment of this application. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0083] Reference Figure 4 The structural parameter design system for this water level indicator collection cup includes: The acquisition module is used to acquire the design requirement description and to evaluate the completeness of the requirement information in the design requirement description to obtain the requirement type; wherein, the design requirement description is used to indicate at least one of the size requirement information, optical performance requirement information, or position requirement information of the light guide rib.

[0084] The first parsing output module is used to parse the requirement parameter space of the design requirement description when the requirement type is incomplete requirement information mode, obtain constraint description information, determine candidate manufacturing intentions based on the constraint description information, and output parameter guidance suggestions for the design requirement description based on the candidate manufacturing intentions; wherein, the constraint description information is used to characterize at least one of the cup diameter, cup wall thickness, material refractive index or drain valve interface height, and the parameter guidance suggestions are used to recommend at least one of the following values ​​to the user: radius recommendation value, height recommendation value or position recommendation value of the light guide rib.

[0085] The second parsing output module is used to receive the user's confirmation instruction for the parameter guidance suggestion, clear the required parameter space, generate a reset parameter space based on the parameter guidance suggestion and the confirmation instruction, and perform parameter parsing on the confirmation instruction based on the reset parameter space to obtain the confirmed design parameters; wherein, the confirmed design parameters are used to characterize at least one of the radius, height or position of the light guide rib after user confirmation.

[0086] The generation module is used to generate a target process parameter chain based on the target manufacturing task when the design parameters indicate that the target manufacturing task should be executed; wherein the target process parameter chain is used to characterize at least one of the following parameters: mold polishing accuracy parameter, injection temperature parameter, injection pressure parameter, cooling time parameter, or draft angle parameter.

[0087] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0088] Those skilled in the art will understand that, for the sake of convenience and brevity, the above-described module division is merely an example. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. The modules in the embodiments can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0089] Figure 5 This is a schematic diagram of the structure of an electronic device 6 provided in an embodiment of this application. Figure 5 As shown, the electronic device 6 of this embodiment includes: at least one processor 60 ( Figure 5 Only one is shown in the image), at least one memory 61 ( Figure 5 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, it causes the electronic device 6 to implement the steps in any of the above-described embodiments of the design method for the structural parameters of the water level indicator cup, or causes the electronic device 6 to implement the functions of each module in the above-described system embodiments.

[0090] For example, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the electronic device 6.

[0091] The electronic device 6 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The electronic device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 5 This is merely an example of electronic device 6 and does not constitute a limitation on electronic device 6. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0092] The processor 60 can be a Central Processing Unit (CPU), or it can 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. The general-purpose processor can be a microprocessor or any conventional processor.

[0093] In some embodiments, the memory 61 may be an internal storage unit of the electronic device 6, such as a hard disk or memory of the electronic device 6. In other embodiments, the memory 61 may be an external storage device of the electronic device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 6. Furthermore, the memory 61 may include both internal and external storage units of the electronic device 6. The memory 61 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0094] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0095] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0096] In the embodiments provided in this application, it should be understood that the disclosed water level indicator water collection cup structural parameter design system can be implemented in other ways. For example, the division of modules is merely a logical functional division; in actual implementation, there may be other division methods. For instance, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be indirect couplings or communication connections through interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0097] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0098] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A water level indicator cup, characterized in that, include: The cup body is made of transparent material; A water collection tank is located at the bottom of the cup body; as well as Light-guiding ribs are circumferentially protruding on the outer wall of the cup body. The light-guiding ribs are made of transparent material and have a mirror-like surface. The light-guiding rib is positioned at a preset warning water level on the cup body, and the preset warning water level is higher than the top edge of the water collection tank. When the water level in the cup body is lower than the preset warning water level, the light-guiding rib presents a bright halo under ambient light. When the water level in the cup body reaches or exceeds the preset warning water level, at least a portion of the light-guiding rib comes into contact with the water level and darkens.

2. The water level indicator cup as described in claim 1, characterized in that, The outer wall of the cup body is provided with a matte texture within a preset width range behind the light guide rib.

3. The water level indicator cup as described in claim 1, characterized in that, The transparent material has a refractive index of 1.50~1.53 and a light transmittance of ≥85%.

4. A method for designing structural parameters of a water level indicating water collection cup, used to design the water level indicating water collection cup as described in any one of claims 1-3, characterized in that, The method includes: Obtain a design requirement description, and evaluate the completeness of the requirement information in the design requirement description to obtain the requirement type; wherein, the design requirement description is used to indicate at least one of the size requirement information, optical performance requirement information, or position requirement information of the light guide rib; When the requirement type is an incomplete requirement information mode, the requirement parameter space of the design requirement description is parsed to obtain constraint description information. Based on the constraint description information, candidate manufacturing intentions are determined, and parameter guidance suggestions for the design requirement description are output based on the candidate manufacturing intentions. The constraint description information is used to characterize at least one of the following: cup diameter, cup wall thickness, material refractive index, or drain valve interface height. The parameter guidance suggestions are used to recommend at least one of the following: recommended radius value, recommended height value, or recommended position value of the light guide rib. The system receives a confirmation instruction from the user regarding the parameter guidance suggestion, clears the required parameter space, generates a reset parameter space based on the parameter guidance suggestion and the confirmation instruction, and parses the confirmation instruction based on the reset parameter space to obtain the confirmed design parameters; wherein, the confirmed design parameters are used to characterize at least one of the radius, height, or position of the light guide rib after user confirmation. When the confirmed design parameters indicate the execution of a target manufacturing task, a target process parameter chain is generated based on the target manufacturing task; wherein, the target process parameter chain is used to characterize at least one of mold polishing accuracy parameters, injection temperature parameters, injection pressure parameters, cooling time parameters, or draft angle parameters.

5. The design method for the structural parameters of the water level indicating water collection cup as described in claim 4, characterized in that, The parameter guidance suggestions based on the candidate manufacturing intent and the description of the design requirements include: Acquire real-time operating condition data of the manufacturing equipment; wherein the real-time operating condition data is used to characterize at least one of the current temperature, current pressure, or current operating status of the manufacturing equipment; Based on the candidate manufacturing intent and the real-time operating data, parameter guidance suggestions are output for the design requirements.

6. The design method for the structural parameters of the water level indicating water collection cup as described in claim 4, characterized in that, When the requirement type is an incomplete requirement information mode, the requirement parameter space of the design requirement description is parsed to obtain constraint description information, and candidate manufacturing intentions are determined based on the constraint description information, including: When the requirement type is the incomplete requirement information mode, perform a parameter space saving operation for the design requirement description to obtain the requirement parameter space of the design requirement description. The parameter space of the requirements is parsed to obtain the parameter parsing result of the design requirement description. If the parameter parsing result includes constraint description information, the candidate manufacturing intention corresponding to the design requirement description is determined based on the constraint description information. The candidate manufacturing intention is used to characterize at least one of the candidate value range of radius, candidate value range of height, or candidate value range of position of the light guide rib.

7. The design method for the structural parameters of the water level indicating water collection cup as described in claim 6, characterized in that, After parsing the requirement parameter space to obtain the parameter parsing result of the design requirement description, the method further includes: If the parameter analysis result indicates that historical successful cases need to be referenced, the historical experience database retrieval skill is invoked to obtain historical successful case data of the manufacturing scenario in which the manufacturing equipment is located; wherein, the historical successful case data includes existing light guide rib design parameter combinations that match the current cup diameter, material refractive index or optical requirements; From the historical successful case data, search for case information that has the highest similarity to the current design requirement description, and generate parameter guidance suggestions for the design requirement description based on the case information.

8. The design method for the structural parameters of the water level indicating water collection cup as described in claim 4, characterized in that, After obtaining the confirmation design parameters by parsing the confirmation instruction based on the reset parameter space, the method further includes: If the confirmed design parameters indicate rejection of the parameter guidance suggestion or cancellation of the candidate manufacturing intention corresponding to the design requirement description, a task cancellation instruction is generated, and the reset parameter space is cleared and the processing flow of the design requirement description is terminated based on the task cancellation instruction. If the confirmed design parameters indicate that the candidate manufacturing intent corresponding to the design requirement description has changed, a task change instruction is generated, and the reset parameter space is cleared based on the task change instruction, and the processing flow of the confirmation instruction is entered.

9. The design method for the structural parameters of the water level indicating water collection cup as described in claim 4, characterized in that, When the confirmed design parameters indicate the execution of a target manufacturing task, generating a target process parameter chain based on the target manufacturing task includes: If the confirmed design parameters indicate that a target manufacturing task should be performed, process execution instructions are generated based on the target manufacturing task. The process execution instructions are parsed to obtain the parsing results. The parsing results include feature identification information corresponding to multiple manufacturing features associated with the target manufacturing task, as well as the feature association relationship between the multiple manufacturing features. The feature identification information is used to characterize at least one of the radius, height, position, or surface roughness of the light guide rib. Based on the feature recognition information corresponding to the multiple manufacturing features and the feature association relationship, an initial process parameter chain corresponding to the target manufacturing task is generated. The initial process parameter chain contains process elements corresponding to the process steps required to realize the target manufacturing task. The target process parameter chain is obtained by removing the process elements corresponding to the omissionable process steps from the initial process parameter chain; wherein, the omissionable process steps are used to characterize process steps that can be skipped because the current surface roughness of the mold meets the mirror surface requirement, the draft angle meets the design requirements, or the current state of the equipment does not require repeated execution.

10. The design method for the structural parameters of the water level indicating water collection cup as described in claim 9, characterized in that, The step of removing process elements corresponding to omitable process steps from the initial process parameter chain to obtain the target process parameter chain includes: Obtain the current measured value of the mold's surface roughness or the current position status of the demolding mechanism; The measured surface roughness value is compared with the target mirror surface requirement. If the measured surface roughness value is better than or equal to the target mirror surface requirement, the polishing process step in the initial process parameter chain is marked as an omissionable process element. And / or, compare the current position of the demolding mechanism with the preset demolding position. If the demolding mechanism is currently in the demolding completed state, mark the demolding preparation step in the initial process parameter chain as an omissionable process element. The target process parameter chain is obtained by removing the marked omissionable process elements from the initial process parameter chain.

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