Bulb and method of manufacturing a bulb

Abstract

The application relates to the technical field of bulbs, and provides a bulb and a bulb production method.The bulb comprises a bottom shell, a power supply master control, a movable piece, a bulb body and a detection component; the bottom shell has an accommodating space inside; a slanting cutout is arranged on the surface of the bottom shell and is communicated with the accommodating space; the axis direction of the slanting cutout is inclined to the height direction of the bottom shell; the power supply master control and the movable piece are arranged in the accommodating space and are located on one side of the power supply master control; the bulb body is connected with the movable piece at least partially through the slanting cutout, so that the bulb body can rotate relative to the bottom shell through the slanting cutout and the movable piece to change the position; the detection component is used for detecting the position of the movable piece and / or the bulb body and is electrically connected with the power supply master control; wherein the power supply master control is used for providing electric energy for the bulb body and adjusting the light generated by the bulb body according to the position of the movable piece and / or the bulb body detected by the detection component. The bulb provided by the application can adjust the light irradiation angle, reduce shadows and improve the reading experience.

Description

Technical Field

[0001] This application relates to the field of light bulb technology, and more particularly to a light bulb and a method for manufacturing a light bulb. Background Technology

[0002] A light bulb is a lighting source that emits light and heat through electrical energy. The most common light bulbs are mainly composed of three basic parts: filament, glass shell, and bulb base.

[0003] In this technology, light bulbs are installed on the ceiling of a library to illuminate the entire reading room (area within the library). However, the use of such light bulbs in a library presents some problems. For example, during off-peak hours at night, the light from the ceiling may create shadows for users who like to read near bookshelves due to the obstruction of other bookshelves. In addition, the different paper colors of different books may have different light requirements, affecting the reading experience and potentially causing eye strain. Summary of the Invention

[0004] This application provides a light bulb and a method for producing the light bulb, which can improve the technical problems existing in the related art, such as blind spots in light coverage and insufficient adaptability of light bulbs on library ceilings.

[0005] In a first aspect, embodiments of this application provide a light bulb, comprising: A bottom shell, having an internal receiving space, has a beveled opening on its surface communicating with the receiving space, the axis of which is inclined to the height direction of the bottom shell; the bottom shell is used to be mounted on the bookshelf. The main power control is located within the accommodating space; The movable component is disposed within the receiving space and located on one side of the main power control; and A bulb body, at least partially connected to the movable member through the beveled cut, to allow the bulb body to rotate relative to the base shell and change position through the beveled cut and the movable member; the bulb body is used to provide light; A detection component is used to detect the position of the moving part and / or the bulb body, and is electrically connected to the main power control. The power control unit is used to provide electrical energy to the bulb body and adjust the light emitted by the bulb body according to the position of the moving part and / or the bulb body detected by the detection device.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The light bulb provided in this application embodiment includes a power control unit and a movable component housed within the receiving space of the base shell. The base shell protects the power control unit and the movable component from external influences. The bulb body is at least partially connected to the movable component via a beveled cut, allowing the bulb body to rotate relative to the base shell and change position through the beveled cut and the movable component. This increases the light illumination angle of the bulb and adapts to the lighting needs of different reading positions. When using this bulb, the reader can move the bulb body to the desired position by touching it with their hand or other components. After the reader moves the bulb body to the desired position, a detection component can detect the position change of the bulb body and send this change information to the power control unit. Upon receiving the position change information, the power control unit can adjust the light emitted by the bulb body according to preset light adjustment rules, such as adjusting the brightness or color temperature of the light, to adapt to the color of different book papers and the reader's lighting needs, reducing visual fatigue. Furthermore, since the bulb body can rotate relative to the base shell and change position, the light illumination angle can be flexibly adjusted, preventing the light from being blocked by bookshelves, thereby effectively reducing blind spots and shadows that may be cast by the ceiling, improving the reader's reading experience.

[0007] Secondly, embodiments of this application provide a bulb control method, applied to the bulb described in the first aspect; the bulb control method includes: The position information of the moving part and / or the bulb body is detected by the detection component; The light emitted by the bulb body is adjusted according to the position information.

[0008] Thirdly, embodiments of this application provide a method for producing a light bulb, used to produce the light bulb described in the first aspect, the method comprising: In response to user production operations, production data for the light bulb to be produced is determined; wherein, the production data is used to indicate the production specifications and production requirements of the light bulb, including the distance requirements and movement requirements between the bulb body and the beveled cut, the size requirements of the moving parts themselves, and the fit requirements between the moving parts and the bulb body; Processing data for the light bulb is generated based on the production data of the light bulb; wherein the processing data is used to indicate the production and processing plan for the light bulb; The production and processing scheme indicated by the processing data is subjected to optimal analysis to obtain detection result data; wherein, the detection result data is used to indicate whether the production and processing scheme of the light bulb is the optimal production scheme; When the production processing plan indicated by the processing data is a non-optimal production plan, improvement data is determined; wherein, the improvement data is used to indicate the production improvement plan after improving the production processing plan indicated by the processing data; The improved data is used to control the production equipment to produce the light bulb.

[0009] The technical solutions described in this application embodiment have at least the following technical effects: The bulb manufacturing method provided in this application determines the production data of the bulb to be produced in response to user production operations. It generates processing data for the bulb based on the production data from the bulb control device. The method performs optimal analysis on the production processing scheme indicated by the processing data, obtaining test results data. This allows for determining whether the current production processing scheme is optimal due to the inherent characteristics of each component or the coordination between components. Furthermore, if the production processing scheme indicated by the processing data is not optimal, improvement data is determined. Finally, based on the improved control data, the production device is controlled to produce the bulb, increasing its light coverage and providing more comfortable lighting for users reading near bookshelves. The light is also automatically adjusted according to the paper color of the books to avoid eye strain. By determining the optimal relationship between the bulb's base, power control, moving parts, and bulb body, flexible light adjustment and intelligent adaptation can be achieved, improving the bulb's production quality and yield rate, and promoting continuous improvement and optimization of the production process. Attached Figure Description

[0010] 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.

[0011] Figure 1 This is a schematic diagram of the structure of a light bulb provided in an embodiment of this application; Figure 2 This is a structural schematic diagram of a light bulb from another perspective, provided in an embodiment of this application. Figure 3 This is a schematic diagram of the structure of the active component provided in the embodiments of this application; Figure 4 A schematic flowchart illustrating the light bulb manufacturing method provided in this application embodiment; Figure 5 A schematic diagram illustrating the implementation flow of step S300 in the light bulb manufacturing method provided in this application embodiment; Figure 6 A schematic diagram illustrating the implementation flow of step S400 in the light bulb manufacturing method provided in this application embodiment; Figure 7A schematic diagram illustrating the implementation flow of step S420 in the light bulb manufacturing method provided in this application embodiment; Figure 8 This is a schematic diagram of another implementation process of step S420 in the light bulb production method provided in the embodiments of this application; Figure 9 A schematic flowchart illustrating the bulb control method provided in an embodiment of this application; Figure 10 This is a schematic diagram of the structure of the light bulb production system provided in the embodiments of this application; Figure 11 This is a schematic diagram of the structure of the control device for the light bulb production equipment provided in the embodiments of this application.

[0012] The following are the labeling elements in the figure: 100. Light bulb; 10. Base shell; 101. Accommodation space; 102. Angled cut; 20. Main power control; 21. Power supply; 22. Control component; 30. Moving component; 40. Light bulb body; 50. Detection component; 51. First detection component; 52. Second detection component. Detailed Implementation

[0013] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0014] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. The terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0015] 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.

[0016] 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.

[0017] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0018] In this application, "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist; for example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0019] It should be noted that in this application, the words "in some embodiments," "exemplarily," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "in some embodiments," "exemplarily," or "for example" should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of words such as "in some embodiments," "exemplarily," and "for example" is intended to present related concepts in a specific manner, meaning that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of this application. The appearance of the above words in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0020] In this technology, light bulbs are installed on the library ceiling to illuminate the entire library area. For users who prefer reading near bookshelves, the fixed position of the ceiling bulbs and the radiating light from the ceiling can create shadows due to obstruction from other bookshelves. Furthermore, the dense and tall bookshelves physically block the light, resulting in noticeable shadows in the reading area during off-peak hours at night. The inability of light to directly and evenly illuminate the pages reduces the contrast between text and background, increasing reading difficulty.

[0021] Furthermore, due to differences in paper material, printing process, and content, the background colors of different books vary significantly, creating noticeable blind spots in light coverage. Traditional ceiling light bulbs cannot detect these variations in background color and can only provide light with fixed parameters. When the light doesn't match the paper's background color, it can easily cause eye strain. For example, white paper may appear yellowish under excessively warm light, while yellow paper may be glaring under excessively bright light. Besides the shadows cast by bookshelves, aisles and corners between bookshelves often suffer from insufficient lighting due to the limited angle of direct light from ceiling lights. Especially in the upper levels of multi-tiered bookshelves, light struggles to penetrate the gaps, forcing users to rely on their phones for illumination when retrieving books, which is inconvenient and disrupts the overall reading atmosphere. Secondly, different types of books (such as ancient books, color picture albums, and thread-bound books) have significantly different requirements for light intensity and color temperature. Color picture albums require a more balanced color temperature to reproduce color details; while for ordinary printed books, dim lighting forces readers to squint, potentially causing eye strain over time. However, the light parameters of the ceiling-mounted light bulbs are fixed and cannot be dynamically adjusted for different types of books, making it difficult to ensure reading clarity.

[0022] Based on this, in order to improve the problems of blind spots in light coverage and insufficient adaptability of light bulbs on library ceilings in related technologies, the embodiments of this application provide the following solutions.

[0023] Please refer to the following: Figures 1 to 3 This application provides a light bulb 100, which includes a base shell 10, a power control unit 20, a movable component 30, a bulb body 40, and a detection component 50, wherein: The bottom shell 10 has a receiving space 101 inside, and the surface of the bottom shell 10 has a bevel 102 that communicates with the receiving space 101. The axial direction of the bevel 102 is inclined to the height direction of the bottom shell 10. The bottom shell 10 is used to be installed on a bookshelf.

[0024] The main power control 20 is located within the housing space 101.

[0025] The movable component 30 is disposed within the receiving space 101 and is located on one side of the power control 20.

[0026] The bulb body 40 is at least partially connected to the movable member 30 through the bevel 102 to allow the bulb body 40 to change position relative to the base shell 10 by rotating through the bevel 102 and the movable member 30; the bulb body 40 is used to provide light.

[0027] The detection component 50 is used to detect the position of the moving part 30 and / or the bulb body 40, and is electrically connected to the main power control 20.

[0028] The main power control 20 is used to provide power to the bulb body 40 and adjust the light emitted by the bulb body 40 according to the position of the moving part 30 and / or the bulb body 40 detected by the detection element.

[0029] It can be understood that the bottom shell 10 is a semi-circular structure that can protect the main power control 20 and the moving parts 30. The semi-circular structure has an accommodating space 101 inside, and the surface of the bottom shell 10 also has a beveled cut 102 that connects to the accommodating space 101.

[0030] The main power control 20 can provide electrical energy and receive information sent by the detection component 50 to control the bulb body 40 to provide light of different brightness or different colors. The main power control 20 may include a capacitor or battery for storing electrical energy, or a circuit structure connected to an external power source 21. The main power control 20 also includes a control component that receives information sent by the detection component 50. This control component can receive the information sent by the detection component 50 and control the brightness, color temperature, or color of the bulb body 40 based on the received information. For example, it may be a microcontroller or microprocessor, but is not limited to these. The moving part 30 may be a mechanical structure connected to the bulb body 40, such as a constant velocity universal joint. The constant velocity universal joint includes a first universal structure, a second universal structure, and multiple universal balls. The multiple universal balls are movably located between the first and second universal structures. The first and second universal structures are respectively connected to the bulb body 40 and the base shell 10. The multiple universal balls enable flexible rotation of the bulb body 40 relative to the base shell 10, improving the stability and smoothness of the bulb body 40 during rotation.

[0031] The detection component 50, such as a position sensor or angle sensor, is used to detect changes in the position of the moving part 30 and / or the bulb body 40 in real time, and sends the detected position information to the power control unit 20. Based on the received position information, the power control unit 20 adjusts the light emitted by the bulb body 40 using a built-in control algorithm or preset light adjustment rules, such as adjusting the brightness, color temperature, or light distribution, to suit the light requirements of different reading positions. The bulb body 40 is a component that emits light when powered by the power supply 21.

[0032] As can be seen from the above, the bulb 100 provided in this application embodiment has a power control 20 and a movable component 30 disposed within the receiving space 101 of the bottom shell 10. The bottom shell 10 protects the power control 20 and the movable component 30 from external influences. The bulb body 40 is at least partially connected to the movable component 30 through a bevel 102, allowing the bulb body 40 to rotate relative to the bottom shell 10 and change position through the bevel 102 and the movable component 30, thereby increasing the light illumination angle of the bulb 100 and adapting to the light requirements of different reading positions. When using this bulb 100, the reader can touch the bulb body 40 with their hand or other parts and move the bulb body 40 to the desired position. After the reader moves the bulb body 40 to the desired position, the detection component 50 can detect the position change of the bulb body 40 and send this change information to the power control 20. After receiving the position change information, the power control 20 can adjust the light emitted by the bulb body 40 according to the preset light adjustment rules, such as adjusting the brightness or color temperature of the light to adapt to the color of different book papers and the reader's light needs, reducing visual fatigue. In addition, since the bulb body 40 can rotate relative to the base 10 to change its position, the angle of light illumination can be flexibly adjusted to avoid the light being blocked by the bookshelf, thereby effectively reducing blind spots in light coverage and shadows that may be cast by the light from the ceiling, improving the reader's reading experience.

[0033] In some embodiments, please refer to the following: Figures 1 to 3 The detection component 50 includes a first detection element 51 and a second detection element 52. The first detection element 51 is disposed on the outer wall of the bottom shell 10; the first detection element 51 is used to detect the background color of the paper in the book being read by the user. The second detection element 52 is disposed on the outer wall of the bottom shell 10; the second detection element 52 is used to detect the position of the movable element 30 and / or the bulb body 40 and the surrounding light after the position is changed by the movable element 30 driving the bulb body 40 to change position.

[0034] It is understood that the first detection element 51 is a sensor used to detect the background color of the paper in the book being read by the user. It can identify and acquire information about the paper color, and can be a color sensor, etc., but is not limited to this.

[0035] The second detection element 52 is a sensor used to detect the intensity of ambient light after the moving part 30 drives the bulb body 40 to change position. It can be a photoresistor, a photodiode, etc., but is not limited to these.

[0036] Both the first detection element 51 and the second detection element 52 are electrically connected to the main power control 20, and send the detected information to the main power control 20. Based on the received color information and light intensity information, the main power control 20 adjusts the light generated by the bulb body 40, such as adjusting the brightness, color temperature, or light distribution, to adapt to the needs of different paper colors and ambient light intensity.

[0037] With this setup, after the moving part 30 moves the bulb body 40 to the position required by the user, the first detection element 51 can quickly identify and obtain the color information of the paper of the book that the user is reading, while the second detection element 52 is responsible for detecting the light intensity of the surrounding environment. When the detected information is transmitted to the power control 20 in real time, the light generated by the bulb body 40 and the color and brightness suitable for the paper are quickly and accurately adjusted according to the received paper color information and ambient light intensity information.

[0038] Optionally, in some embodiments, please also refer to Figures 1 to 3 The power control unit 20 includes a power supply 21 and a control unit 22. The power supply 21 is located within the housing space 101 and is mounted on the bottom shell 10; the movable part 30 is located on one side of the power supply 21; the power supply 21 is used to provide electrical energy. The control unit 22 is located within the housing space 101 and is mounted on the power supply 21; the control unit 22 is used to receive information sent by the detection component 50 and control the bulb body 40 to provide light according to the sent information.

[0039] It is understood that the power supply 21 is a component capable of providing electrical energy to the bulb body 40, such as a capacitor or a battery, but not limited to these. The control unit 22 is a component capable of receiving information sent by the first detection unit 51 and the second detection unit 52, and controlling the brightness and color temperature or color of the bulb body 40 according to the received information from the first detection unit 51 and the second detection unit 52, such as a microcontroller or a microprocessor, but not limited to these.

[0040] With this configuration, when the power supply 21 provides power to the bulb body 40, the control unit 22 can receive information from the first detection unit 51 and the second detection unit 52 in real time, and control the light emitted by the bulb body 40 according to the received information, such as adjusting the brightness, color temperature, or light distribution, to adapt to the needs of different paper colors and ambient light intensity. This configuration not only improves the intelligence level of the bulb 100, but also enables the bulb 100 to adapt more flexibly to different reading environments and book types, thereby further enhancing the user's reading experience, reducing reader eye fatigue, and adapting to different books and different lighting conditions.

[0041] Please see Figure 9This application also provides a bulb control method, applied to the bulb described in any of the above embodiments; the bulb control method includes: The position information of moving parts and / or bulb body is detected by the detection component; Adjust the light emitted by the bulb body according to the location information.

[0042] It is understood that the detection component can detect the movement of the moving part and / or the bulb body, detect the positional changes of the moving part and / or the bulb body, and adjust the light generated by the bulb body according to the detected positional changes of the moving part and / or the bulb body. Position information is used to indicate the initial position, adjusted position, and change between the initial and adjusted positions of the moving part and / or the bulb body detected by the detection component. The change between the initial and adjusted positions can be obtained through the direction and angle of movement. For example, by detecting the initial position of the moving part and / or the bulb body (the position before adjustment), and then by detecting the position of the moving part and / or the bulb body after adjustment, the positional information of the moving part and / or the bulb body can be obtained by comparing the difference between the two positions.

[0043] For example, adjusting the light emitted by the bulb based on position information can be achieved by a first detection unit detecting the position of the moving part and / or the bulb, as well as the current ambient light conditions, when a change in the position of the moving part and / or the bulb is detected. A second detection unit simultaneously detects the background color of the paper in the book the user is reading and sends the position of the moving part and / or the bulb, along with the current ambient light conditions, to the main power control. The control unit can then derive light parameters adapted to the new position based on the received position information and adjust the brightness and color temperature of the light emitted by the bulb accordingly. Brightness adjustment can be achieved through preset correspondences, such as multiple levels of ambient darkness, each corresponding to a different brightness. Similarly, the color temperature can be determined by preset correspondences to different background colors, such as multiple different book background colors corresponding to different color temperatures, which can also correspond to different brightness levels, but is not limited to these methods.

[0044] This adjustment method not only ensures that the light accurately illuminates the reading area, reducing shadows and blind spots, but also allows the light to dynamically adjust according to different book types and paper colors, thereby reducing visual fatigue and enhancing the reading experience. For example, when a reader moves the bulb 40 to a reading position next to the bookshelf, the detection component 50 detects this change in position and sends the information to the main power control 20. The main power control 20 then adjusts the brightness and color temperature of the light according to preset rules to ensure that the light can penetrate the gaps in the bookshelf and evenly illuminate the pages, while matching the paper color to reduce reflections and glare.

[0045] This setup adapts to the color of different book papers and the reader's lighting needs, reducing visual fatigue. It allows for flexible adjustment of the light angle, preventing light from being blocked by the bookshelf, thus effectively reducing blind spots and shadows that may be cast by the ceiling, enhancing the reader's reading experience.

[0046] The control component is the execution subject of the bulb control method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of the control component.

[0047] This application also provides a bulb manufacturing method for producing the bulbs described in the above embodiments. In this method, production data for the bulb to be produced is determined based on user production operations. Processing data for the bulb is generated based on the production data from the bulb's control device. The optimal production processing scheme indicated by the control device processing data is analyzed, and the resulting test data allows for determining whether the current production processing scheme is optimal due to the inherent characteristics of each component or the compatibility between components. Furthermore, if the production processing scheme indicated by the control device processing data is not optimal, improvement data is determined. Finally, based on the improved control device data, the production device is controlled to produce the bulb, which can improve the bulb's light coverage, providing more comfortable light for users reading near bookshelves. Simultaneously, the light is automatically adjusted according to the paper color of the books being read, avoiding eye strain. By determining the optimal relationship between the bulb's base, power control, moving parts, and bulb body, flexible light adjustment and intelligent adaptation can be achieved, improving the bulb's production quality and yield rate, while also promoting continuous improvement and optimization of the production process.

[0048] The light bulb production method provided in this application embodiment can be applied to light bulb production equipment. In this case, the light bulb production equipment is the execution subject of the control method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of light bulb production equipment.

[0049] For example, a light bulb manufacturing device includes a light bulb manufacturing apparatus and a control device; the light bulb manufacturing apparatus and the control device are communicatively connected. The light bulb manufacturing apparatus may include various mechanical components for manufacturing light bulbs, such as molds, injection molding machines, assembly machines, etc., to complete the entire manufacturing process of the light bulb from raw materials to finished products. The control device may be a computer system with components such as processors, memory, and input / output interfaces, used to execute the light bulb manufacturing method provided in the embodiments of this application. The processor may be a general-purpose processor, such as a CPU or GPU, or a special-purpose processor, such as an ASIC or FPGA.

[0050] To better understand the light bulb manufacturing method provided in the embodiments of this application, the specific implementation process of the light bulb manufacturing method provided in the embodiments of this application will be described by way of example below.

[0051] Figure 4 A schematic flowchart of the control method provided in an embodiment of this application is shown. The light bulb manufacturing method includes: S100, in response to user production operations, determines the production data of the light bulb to be produced; wherein, the production data is used to indicate the production specifications and production requirements of the light bulb; the production requirements include the distance requirements and movement requirements between the light bulb body and the beveled cut, the dimensional requirements of the moving parts themselves, and the fit requirements between the moving parts and the light bulb body; Production data refers to specific information regarding the production specifications and requirements of light bulbs, including brightness (in lumens), power (in watts), dimensions (such as diameter and height), material type (such as glass or epoxy resin encapsulation), and lifespan requirements. User production operations refer to production instructions issued by users through input devices (such as touchscreens or software interfaces), or order parameters entered by users through the HMI interface or predefined production tasks retrieved from the MES system.

[0052] For example, in response to user input on the production interface (e.g., the user selects a 60W LED bulb option and sets the brightness to 800 lumens), the control device checks the reasonableness of the input (e.g., whether the brightness value is within the reasonable range of 0-1000 lumens) through a built-in data verification module. If the input is invalid, the user is prompted to re-enter; if valid, the device accesses a preset specification database (which stores standard bulb specification templates), matches the corresponding production data template according to the user's selection, and generates structured production data.

[0053] S200: Generate bulb processing data based on bulb production data; wherein, the processing data is used to indicate the bulb production and processing plan.

[0054] It can be understood that processing data refers to the production and processing plan for light bulbs, which defines the production process, sequence of operations, and equipment settings (such as temperature, pressure, and time parameters). Production data serves as input, and processing data serves as output. The plan includes key operational steps (such as filament winding, encapsulation, and testing).

[0055] For example, by matching production specifications with a historical solution library (which stores optimized solutions for similar specifications), such as when production data requires 800 lumens of brightness, the algorithm retrieves historical solution templates with similar brightness (±10%). Then, the solution is dynamically adjusted based on the current equipment status (obtained in real-time via sensors, such as equipment idle rate): for example, setting the filament winding process to a high-temperature mode (temperature = 150°C, time = 5 minutes), and using epoxy resin injection for the encapsulation process (pressure = 10 kPa, time = 3 minutes). The processing data generation process involves step decomposition: that is, breaking the solution down into a sequence of processes (e.g., S1: material preparation, S2: filament processing, S3: encapsulation), each process accompanied by a set of parameters, and the final output is a structured processing data file, including a process list, equipment instructions, and timing arrangements, i.e., the bulb production processing solution.

[0056] S300, perform optimal analysis on the production processing plan indicated by the processing data to obtain test result data; wherein, the test result data is used to indicate whether the production processing plan of the bulb is the optimal production plan, and the optimal analysis includes the analysis between the bulb body and the oblique cut, the activity analysis of the moving parts themselves, and the analysis between the bulb body and the moving parts.

[0057] It is understandable that optimal analysis can be understood as the evaluation result of whether a production plan is optimal (e.g., labeled "optimal" or "non-optimal"). Optimal analysis is based on multi-dimensional comparisons, including historical data and defect rates. It can also be understood as the effectiveness of a production plan obtained through analysis and verification. Among multiple effectiveness values, the one with the highest or largest effective value is the optimal one.

[0058] For example, the optimal analysis can be performed by receiving processing data as input through the optimal analysis module, executing and evaluating the effectiveness and efficiency of the production plan. The evaluation may include, but is not limited to, simulating the production process, predicting equipment performance, evaluating cost-effectiveness, etc., to obtain analysis results and determine whether the bulb production and processing plan is the optimal production plan.

[0059] In one possible implementation, please refer to Figure 5 S300 performs optimal analysis on the production processing plan indicated by the processing data to obtain the test result data, including: S310, acquire historical demand data and historical plan data; wherein, the similarity between the production specifications and requirements indicated by the historical demand data and the production data is greater than or equal to 85%, and the historical plan data is used to indicate the historical production plan generated based on the historical demand data.

[0060] For example, historical demand data and historical solution data can be obtained by retrieving historical records similar to the current production data through the historical database module. Historical demand data includes key parameters such as brightness, power, and size, and the similarity to production data is calculated by an algorithm (e.g., using cosine similarity or Euclidean distance). Historical solution data includes past production and processing solutions adopted for similar demands, as well as the corresponding production results and feedback.

[0061] S320, perform a difference analysis on the historical plan data and the processing data to obtain difference result data; wherein, the difference result data is used to indicate the differences between the historical production plan and the production and processing plan.

[0062] It is understandable that difference analysis compares the parameters of each process with the historical and current processing schemes to identify inconsistencies and the degree of difference; the difference results data is a list of the difference items.

[0063] For example, the controller can perform difference analysis by aligning historical process data and current processing data for the same steps (e.g., filament processing), calculating parameter differences item by item. For instance, temperature difference is calculated by taking the difference between the current temperature and historical temperatures, then interpolating the values ​​to calculate the absolute value, dividing the difference by the historical temperature, multiplying by 100%, and then aggregating the differences (e.g., average difference rate) to generate a difference result data file containing a difference report (e.g., temperature difference 10%, time difference 5%). The implementation process can be achieved by the control device using a comparison algorithm (iterating through each parameter and calculating the relative difference) to output the difference result data.

[0064] S330, acquire quality inspection result data of multiple batches of bulbs produced in history; wherein the quality inspection result data is used to indicate the first type of defect, the second type of defect and the third type of defect in the bulbs produced in history. The first type of defect occurs more frequently than the second type of defect, the second type of defect occurs more frequently than the third type of defect, and the first type of defect, the second type of defect and the third type of defect are all usage defects that occur in the produced bulbs.

[0065] It is understandable that the quality inspection results data are historical records of light bulb defects, namely, type I defects, type II defects, and type III defects.

[0066] For example, by extracting the quality inspection records of multiple batches (e.g., 20 batches) of bulbs corresponding to the historical demand data in step S310 within the past 6 months, the occurrence frequency of each defect is counted: filament breakage (occurred 300 times), lampshade leakage (150 times), and interface loosening (50 times). The defects are sorted by frequency: the first type of defect is filament breakage (highest frequency), the second type is "lampshade leakage", and the third type is "interface loosening". The production batch and associated process parameters corresponding to each type of defect are recorded (e.g., the filament tension of batches with filament breakage is mostly above 5N), which can generate quality inspection result data.

[0067] S340 obtains test result data based on historical demand data, difference result data, and quality inspection result data.

[0068] For example, based on requirements indicated by historical demand data, a rule engine is used on the difference result data and quality inspection result data. For instance, if the temperature difference in the difference data is >10% and the quality inspection data shows a high first-type defect rate, then the solution is not optimal. Alternatively, for example, a comprehensive score (1 minus the average difference rate) multiplied by 1 minus the defect rate weight is calculated. If the score is <0.9, the inspection result data is marked as "not optimal". Generation process: The controller performs data aggregation and threshold comparison, and outputs a result file.

[0069] This setup, by linking the difference items with the defect data, enables the test results to not only determine whether the solution is optimal, but also to identify the root cause of non-optimal solutions (the risk of defects caused by the difference), providing a direct basis for subsequent improvements and enhancing the accuracy of solution optimization.

[0070] S400, when the production processing plan indicated by the processing data is a non-optimal production plan, determine the improvement data; wherein, the improvement data is used to indicate the production improvement plan after improving the production processing plan indicated by the processing data.

[0071] It is understandable that improvement data refers to specific adjustments to parameters for non-optimal solutions, such as reducing filament tension, adjusting temperature, addressing defects in components themselves, and resolving issues in the fit between components. Production improvement solutions can be improved and executable processing plans. When the test results indicate a non-optimal production plan, the control device triggers the improvement process. Improvement data is generated based on specific feedback from the test results and aims to correct non-optimal items and optimize the production processing plan. This process involves analyzing historical plan data, combining difference result data and quality inspection result data to pinpoint the root cause of the problem. For example, if the difference result data shows a significant difference between the temperature parameter and historical plan data, and the quality inspection result data indicates that this difference is frequently associated with Type I defects (such as filament breakage, jamming in the fit between components), then the improvement data will adjust the temperature parameter to align it with the temperature range that performed well in the historical plan, thereby reducing the risk of filament breakage.

[0072] For example, the process of determining the improvement data may include simulation testing, that is, rerunning the production process in a virtual environment using the corrected processing data to predict whether the improved solution can effectively reduce the defect rate. If the defect rate can be reduced, the control device will update the production and processing solution based on the improvement data and output the updated processing data file to guide the bulb manufacturing device to execute the new production process. This achieves closed-loop optimization from production data to processing data and then to improvement data, ensuring that the bulb production and processing solution is always kept in the optimal state, thereby improving the light coverage and adaptability of the bulb and meeting the light needs of users in different reading environments.

[0073] In one possible implementation, please refer to Figure 6 S400, when the production processing plan indicated by the processing data is not the optimal production plan, determine the improvement data, including: S410, when the production processing plan indicated by the processing data is not the optimal production plan, continuously receive feedback data; wherein, the feedback data is used to indicate the defects to be improved obtained from the user's experience feedback, and the defects to be improved are defects caused by the component itself or / and defects caused by the coordination between the components.

[0074] It is understandable that the defects to be improved are caused by the components themselves or by the fit between the components. These defects can be understood as performance degradation or failure of the bulb during use. For example, the filament may break easily, components may be loose, or there may be poor fit. Feedback data can be obtained through user surveys, product repair records, or online feedback platforms. This data reflects the problems and dissatisfaction encountered by users in actual use.

[0075] For example, continuously receiving feedback data can be done by collecting user feedback on the experience of manufactured light bulbs through user feedback channels (such as online surveys or customer service centers). This feedback details specific problems encountered by users during use, such as uneven light, delayed start-up, loose parts, and jamming between parts.

[0076] S420 determines improvement data based on feedback data and processing data.

[0077] For example, the process of determining improvement data based on feedback data and processing data may include multiple steps. By classifying and organizing the collected feedback data, common defect types and specific manifestations are identified, such as filament breakage, loose components, or poor fit. These defects are then compared and analyzed with the processing data to identify processing parameters or procedures that may lead to these defects. For instance, if feedback data shows frequent filament breakage, and the temperature and time parameters of the filament winding process in the processing data differ significantly from the historical best practices, it can be inferred that the filament breakage problem may be related to improper parameter settings. Based on the results of the comparative analysis, improvement data is generated. Improvement data proposes specific improvement measures for the identified defect types, such as adjusting the temperature and time parameters of the filament winding process to align with the historical best practices.

[0078] This setup allows for continuous optimization and improvement of the production and processing scheme, thereby enhancing the quality and performance of the bulbs and meeting users' lighting needs in different reading environments. Furthermore, this method can be flexibly adjusted based on user feedback and actual requirements, ensuring that the produced bulbs remain in optimal condition.

[0079] In one possible implementation, please refer to Figure 7 S420, based on feedback data and processing data, determines improvement data, including: S421, If ​​the only defect indicated by the feedback data is caused by the component itself, and the defect caused by the component itself is a defect in the bevel angle, obtain the processing error distribution of the bevel angle, and calculate the mean deviation based on the processing error distribution.

[0080] It's understandable that if only feedback data indicates a defect caused by the component itself, it can be interpreted as a defect caused solely by that component. The distribution of bevel angle machining errors refers to the distribution of differences between the actual machined values ​​and the design standard values ​​of the bevel angles of multiple identical components during production. It reflects the overall situation of machining errors, such as the range in which errors are concentrated and their frequency of occurrence. The mean deviation is the average of these machining errors, used to measure the degree of deviation between the overall machined dimensions and the standard dimensions.

[0081] For example, obtaining the distribution of machining errors in the bevel angle can be achieved by randomly selecting a certain number (e.g., 50) of components from the same batch that have bevel angle defects. A high-precision angle measuring instrument (e.g., a laser angle meter) or a tilt sensor can be used to measure the actual bevel angle of each component. Subtracting each actual angle from the design standard angle yields the machining error for each component. Statistical analysis of these error values ​​is then performed to create an error distribution histogram, thus obtaining the distribution of machining errors in the bevel angle. When calculating the mean deviation, the machining errors of all selected components can be summed and divided by the number of components. The result is the mean deviation, which in turn provides the machining error distribution and mean deviation. By obtaining the distribution of machining errors in the bevel angle and calculating the mean deviation, a comprehensive understanding of the overall deviation in the bevel angle machining can be achieved, providing reliable data for subsequent precise process compensation and helping to improve the overall machining quality of the components.

[0082] S422, extract the stamping parameters from the production unit.

[0083] It can be understood that the stamping parameters in the production equipment can be understood as the various technical parameters related to the stamping operation set and generated by the production equipment during the stamping process. These parameters directly affect the stamping effect, including the pressure of the stamping press, the speed of the slide descending, the stamping temperature, the holding time, the die clearance, etc.

[0084] For example, the extraction of stamping parameters within the production unit can be achieved through a control device (such as a PLC control system) that is communicatively connected to the production unit. The control system may store real-time records and historical data of various parameters during the stamping process. Through a preset data interface or dedicated data acquisition software, parameters such as the pressure value of the stamping press during processing, the speed of the slide descending, the temperature value during stamping, the duration of pressure holding, and the size of the gap between the dies are read from the control device. This completes the extraction of stamping parameters. Extracting these stamping parameters provides process parameter support for subsequent calculations of compensation amounts based on mean deviations, making the compensation calculation more closely aligned with actual production conditions and improving the accuracy of the compensation.

[0085] S423 calculates the compensation amount by extracting the stamping parameters and mean deviation.

[0086] It can be understood that the compensation amount refers to the adjustment of stamping parameters to correct the machining error of the bevel angle. It is derived from the actual stamping parameters and the mean deviation of the machining error through a certain calculation relationship, and is used to guide the adjustment of stamping parameters to reduce machining errors. Specifically, the compensation amount is obtained by continuously multiplying the result calculated from the mean deviation and stamping parameters with the compensation coefficient and the equipment sensitivity factor. In the specific calculation, the compensation amount is equal to the mean deviation multiplied by a coefficient related to the stamping parameters to obtain the first result, and then the first result is continuously multiplied with the compensation coefficient and the equipment sensitivity factor to obtain the compensation amount.

[0087] S424, the tilt compensation value is obtained based on the compensation amount.

[0088] For example, the tilt angle compensation value is a specific angle adjustment value directly used to correct the machining error of the bevel angle. It is determined based on the compensation amount and can adjust the bevel angle to meet the standard. When obtaining the tilt angle compensation value based on the compensation amount, if the compensation amount is an adjustment amount for a factor in the stamping parameters that affects the tilt angle (such as the slide descending speed), the compensation amount can be converted into the tilt angle adjustment value through the correspondence between this factor and the tilt angle change. For example, if it is known that the bevel angle will decrease by a certain angle for every certain decrease in the slide descending speed, then the corresponding angle decrease can be calculated based on the calculated slide descending speed compensation amount, and this angle is the tilt angle compensation value. If the compensation amount directly reflects the angle that the tilt angle needs to be adjusted, then the compensation amount itself can be used as the tilt angle compensation value.

[0089] S425 replaces the production process with the production process and processing data indicated by the production process and processing data corresponding to the tilt compensation value.

[0090] For example, the production process corresponding to the tilt angle compensation value refers to the specific production operation process and method that enables the adjustment of the tilt angle compensation value, while the processing data refers to the specific parameter data under this production process (such as the adjusted stamping pressure, speed, etc.). The production processing plan is a production plan composed of the production process and processing data. Replacing the production process means replacing the original with the new production process and processing data to correct the tilt angle of the bevel.

[0091] The production process database is used to find the production process and corresponding processing data that match the calculated tilt angle compensation value. This production process should include all the operational steps required to achieve the tilt angle compensation value (e.g., adjusting the angle of the stamping die, changing the stamping sequence, etc.), while the processing data should include the specific parameters after adjustment (e.g., the specific value of the die angle adjustment, the new stamping pressure value, etc.). The original production process and processing data are removed from the production system, and the newly found production process and processing data are input into the production system to complete the production process replacement. For example, if the original production process had a certain die angle value and the processing data had a certain stamping pressure value, the replacement production process would adjust the die angle to the new value and the stamping pressure to the corresponding new value.

[0092] In one possible implementation, S425, after replacing the production process of the production process and processing data indicated by the production process and processing data corresponding to the tilt angle compensation value, includes: S42501, obtain the coefficient of thermal expansion and springback characteristics of the bottom shell material batch.

[0093] The coefficient of thermal expansion of the bottom shell material batch can be understood as a physical quantity representing the degree to which the length or volume of the material used in that batch of bottom shells expands with increasing temperature, usually expressed as the proportion of length or volume change caused by a unit temperature change. Springback characteristics can be understood as the ability and degree to which a material, after being deformed by an external force, returns to its original shape when the force is removed. For stamping, it refers to the magnitude and tendency of the springback of the stamped part after stamping is completed.

[0094] For example, when obtaining the coefficient of thermal expansion, it can be obtained from the material specification or quality inspection report of the batch of bottom shell material, or a sample of the batch of material can be selected for experimental measurement. For example, the length change of the sample can be measured at different temperatures, and the proportion of length change per unit temperature change can be calculated, which is the coefficient of thermal expansion. Additionally, when obtaining springback characteristics, a stamping experiment can be conducted on the batch of material, recording the deformation after stamping and the springback after removing the external force. By analyzing the relationship between the springback and the deformation, the springback characteristic data of the material, such as the springback rate, can be obtained.

[0095] S42502 establishes the tilt angle error based on historical stamping data; wherein, historical stamping data is used to indicate the downward speed and holding time of the stamping press in history.

[0096] It is understood that stamping history data refers to the relevant data of the stamping machine operation recorded in the past production process. In this application, it specifically refers to the downward speed and holding time of the stamping machine. The tilt angle error is the relationship between the downward speed and holding time of the stamping machine and the tilt angle error of the bevel. The tilt angle error can be established based on the relationship between the downward speed and holding time of the stamping machine and the tilt angle error of the bevel.

[0097] For example, based on the down-feed speed, holding time, and corresponding bevel angle error data of the stamping press over a period of time, the data is categorized according to different intervals of down-feed speed and holding time. Then, by analyzing the correlation between down-feed speed, holding time, and angle error, a functional relationship is established with down-feed speed and holding time as input variables and angle error as output variable. For instance, through multiple linear regression, the angle error is found to be equal to a coefficient multiplied by down-feed speed, another coefficient multiplied by holding time, and a constant term, thus establishing the angle error. Establishing the angle error can reveal the inherent law between stamping parameters and angle error, providing a theoretical basis and predictive tool for controlling angle error by adjusting stamping parameters.

[0098] S42503 determines the stamping data by using the coefficient of thermal expansion, springback characteristics, and tilt angle error; the stamping data is used to indicate the adjustment amount of the stamping machine parameters.

[0099] It is understood that the stamping data in this application can be interpreted as the specific values ​​of various parameters that need to be adjusted for the stamping press in order to correct the tilt angle error, while taking into account the thermal expansion coefficient and springback characteristics of the material. These parameters include the adjustment amount of the stamping press's downward speed and the adjustment amount of the holding time.

[0100] For example, the model is modified using the coefficient of thermal expansion, springback characteristics, and established tilt angle error. This allows the model to simultaneously consider the influence of material properties on the tilt angle error. Then, based on the target tilt angle error to be achieved, the required adjustments to the press's downward speed and holding time are calculated. For instance, if considering the coefficient of thermal expansion, an increase in temperature leads to a larger tilt angle error, then when determining the press data, the holding time needs to be adjusted appropriately based on the magnitude of the coefficient of thermal expansion to offset the temperature's influence on the tilt angle. The final adjustments to the holding time and downward speed constitute the press data. By comprehensively considering the material's coefficient of thermal expansion, springback characteristics, and tilt angle error when determining the press data, the adjustment of press parameters becomes more comprehensive and reasonable, effectively compensating for tilt angle errors caused by various factors and improving product quality.

[0101] In summary, by obtaining the thermal expansion coefficient and springback characteristics of the bottom shell material and establishing a system that considers the angle error of stamping historical data to determine stamping data, the influence of material properties and historical processing experience on the bevel angle can be fully considered, making the adjustment of stamping parameters more precise and further improving the reliability of the production process and the product qualification rate.

[0102] S426 defines the production and processing plan that completes the production process replacement as the improvement data.

[0103] For example, the production and processing plan that completes the production process replacement can be understood as a new production plan after the production process has been replaced through the above steps. It includes the adjusted production process and processing data to correct the bevel angle defect. The production process and processing data adjusted and improved through the above steps are determined as the final improved data. This improved data includes specific improvement measures for problems such as loose parts or poor fit mentioned in user feedback, such as adjusting stamping parameters to optimize the processing quality of parts, and considering the thermal expansion coefficient and springback characteristics of materials to reduce bevel angle errors, etc.

[0104] This setup, by analyzing the defects in the components themselves, obtaining errors, calculating compensation amounts, adjusting processes, and determining improvement data, can systematically and effectively solve the problem of bevel angle defects, thereby improving the production quality and consistency of products.

[0105] In one possible implementation, please refer to Figure 8 S420, based on feedback data and processing data, determines improvement data, including: S4201, if the defect is caused by the coordination between the components indicated only by the feedback data, then the cause of the coordination between the components is that the bulb body is stuck at the oblique cut. Extract the distribution of the stuck position of the bulb body at the oblique cut, and calculate the interference force based on the distribution of the stuck position.

[0106] It is understandable that defects caused by the misalignment between components refer to defects arising from issues such as assembly relationships and dimensional matching between different components. Specifically, this application refers to the situation where the bulb body becomes stuck when moving at the beveled cut. The distribution of stuck locations refers to the distribution of the various specific locations where the bulb body becomes stuck at the beveled cut across the entire beveled cut, such as which parts are prone to sticking and the frequency of such sticking. Interference force refers to the magnitude of the interaction force when the bulb body and the beveled cut become stuck; it reflects the severity of the sticking.

[0107] For example, the distribution of jamming locations is extracted, the specific coordinates or areas of each jamming location are recorded, and the number of times jamming occurs at each location is counted to create a jamming location distribution chart. When calculating the interference force, a force sensor can be installed on the relevant parts of the bulb body or the beveled cut. When the bulb body jams at the beveled cut, the sensor records the force value at that moment; this value is the interference force. Alternatively, the interference force can be calculated by analyzing the motion state during jamming, combined with parameters such as the material's friction coefficient, using mechanical formulas. For example, the interference force equals the friction coefficient multiplied by the normal force between the bulb body and the beveled cut. Extracting the jamming location distribution can identify the concentrated area of ​​the jamming problem, providing a targeted target for subsequent corrections. Calculating the interference force can quantify the severity of the jamming, providing a basis for determining the degree of correction.

[0108] S4202, obtains the operating temperature of the power supply.

[0109] It is understandable that operating temperature refers to the temperature value of the power supply component during normal operation. This temperature will affect the thermal expansion of the power supply component and surrounding components (such as the bulb body and the component with the beveled cut), and thus affect the fit between the components.

[0110] For example, when obtaining the operating temperature of a power supply component, a temperature sensor (such as a thermocouple, thermistor, etc.) can be installed on or near the surface of the power supply component. When the power supply component is working, the sensor monitors its temperature in real time and transmits the temperature signal to the data acquisition system. After processing the signal, the data acquisition system obtains the operating temperature value of the power supply component. The temperature at different working time periods can be recorded, such as the temperature at the beginning, middle and end of the working period. Obtaining the operating temperature of the power supply component can help understand the degree of influence of temperature on the thermal expansion of the component, providing the necessary temperature parameters for subsequent calculation of thermal expansion offset, so that the correction is more in line with the actual working conditions.

[0111] S4203 calculates the thermal expansion offset based on operating temperature and interference force.

[0112] For example, based on the operating temperature of the power supply component and the coefficient of thermal expansion of the bulb body and the component containing the bevel, the amount of thermal expansion of the component at that temperature (e.g., the expansion in length or volume) is calculated. According to the effect of interference force on component deformation, the greater the interference force, the greater the possible deformation of the component, thus affecting the effect of thermal expansion. By establishing a relationship model between the amount of thermal expansion, the interference force, and the thermal expansion offset (e.g., the thermal expansion offset equals the amount of thermal expansion plus a correction related to the interference force), the thermal expansion offset is obtained by combining the amount of thermal expansion calculated based on the operating temperature with the previously calculated interference force. For example, the amount of thermal expansion is a certain length value, and the additional offset caused by the interference force is another value; the sum of the two is the thermal expansion offset.

[0113] S4204, determine the gap correction value based on the thermal expansion offset.

[0114] For example, based on the calculated thermal expansion offset, if the offset causes the gap between the bulb body and the beveled cut to decrease by a certain value, the gap needs to be increased by a corresponding value to avoid jamming. This increase is the gap correction value. For instance, if the thermal expansion offset is 0.5 mm, it means that the gap will decrease by 0.5 mm at operating temperature. Therefore, the gap is increased by 0.5 mm, and this 0.5 mm is the gap correction value. Specifically, it can be determined in conjunction with the minimum safe clearance required by the design, ensuring that the corrected gap remains greater than or equal to the minimum safe clearance under thermal expansion conditions.

[0115] S4205 replaces the processing technology of the production processing scheme indicated by the processing technology and processing data corresponding to the gap correction value.

[0116] For example, a machining process and machining data matching the calculated clearance correction value are searched from the machining process database. The process may include operation steps to adjust the size of the bevel (e.g., enlarging the size of a certain part of the bevel), and the machining data includes the specific size adjustment value, tool parameters during machining, etc. The original machining process and data are replaced from the production system with the new content. For example, if the original machining size of a certain part of the bevel was 5 mm, the machining size of that part in the replaced process is adjusted to 5.5 mm (i.e., the clearance correction value is 0.5 mm).

[0117] S4206 defines the production process plan that completes the process replacement as the improvement data.

[0118] For example, the production process plan after the process replacement includes specific improvements to address the problem of the bulb body getting stuck at the bevel, such as adjusting the size of the bevel to optimize the fit between components. The process and processing data after the above adjustments and improvements are determined as the final improved data.

[0119] This setup, by analyzing the jamming defects caused by component fit, extracting the jamming location distribution, calculating the interference force, and combining the operating temperature of the power supply component to calculate the thermal expansion offset, then determines the gap correction value and replaces the processing technology, and finally determines the improved data, can effectively solve the problem of movement jamming of the bulb body at the oblique cut, improve the rationality of the fit between components and the overall quality of the product.

[0120] In one possible implementation, S420 determines improvement data based on feedback data and processing data, including: S420A, if there are defects caused by the component itself and defects caused by the fit between components, as indicated by feedback data, the defect root cause data is determined; wherein, the defect root cause data is used to indicate whether the defect caused by the component itself leads to the fit defect between the components.

[0121] It is understandable that the simultaneous existence of two defects refers to the presence of both defects inherent in the component itself (such as the bevel angle) and defects in the fit between components (such as the bulb body jamming). Defect root cause data is information used to determine the causal relationship between these two defects, that is, to determine whether the fit defect is caused by a defect in the component itself.

[0122] For example, based on the error value of the bevel angle and the correspondence between the jamming position and the position of the angle error, if it is found that when the bevel angle error is large, the probability of the bulb body jamming at that position increases significantly, and when the angle error is corrected, the jamming phenomenon disappears, then it can be determined that the fit defect is caused by the defect of the component itself. In this case, the defect root cause data is yes, and it will be determined as the defect root cause data. If there is no obvious causal relationship between the two defects, such as jamming occurring frequently even when the angle error is small, then the defect root cause data is no, and it will be determined as the defect root cause data.

[0123] S420B, if the defect root cause data indicates that the defect is caused by the component itself and causes a misfit between the components, execute the collaborative correction data; wherein, the collaborative correction data is used to indicate the collaborative correction process.

[0124] It is understandable that collaborative correction data is a process used to simultaneously correct defects in the component itself and the mating defects caused by it. It can coordinate the correction of the two types of defects, so that the correction process can cooperate with each other and not interfere with each other.

[0125] For example, when executing the collaborative correction data, the tilt angle compensation value and the corresponding production process adjustment scheme are determined according to the process of correcting the defects of the component itself (e.g., steps S421-S426). Then, based on the correction of the component's own defects, the correction scheme for the fitting defects is adjusted (e.g., the steps related to gap correction in steps S4201-S4206). For example, after correcting the tilt angle of the bevel, the impact of the tilt angle change on the gap between the bulb body and the bevel is recalculated, and the gap correction value is adjusted to make the corrections of the two processes synergistic. The collaborative correction data clarifies the order of the two correction processes, the correlation of parameter adjustments, etc., for example, tilt angle correction is performed first, and then the gap correction value is recalculated based on the corrected tilt angle.

[0126] With this setup, the collaborative correction data execution can organically combine the two types of defect correction work, avoiding the situation where only one defect is corrected while ignoring the impact on the other defect, thus improving the overall effectiveness and efficiency of the correction.

[0127] S420C generates improved data based on collaboratively corrected data.

[0128] For example, the improvement data is generated by integrating tilt compensation values, production process adjustment schemes, and gap correction values ​​from the collaborative correction data to construct a production improvement scheme. This production improvement scheme not only includes specific correction measures for the tilt angle error of the bevel, such as adjusting parameters like the downward speed and holding time of the stamping press, but also correction measures for the gap between the bulb body and the bevel, which are adjusted accordingly due to changes in the tilt angle error. By addressing the correction needs of defects in the components themselves and defects in the fit between components, the improvement data can comprehensively and accurately guide the improvement of the production process, thereby effectively improving the bulb production quality and overall performance.

[0129] With this setup, when two defects exist simultaneously, by identifying the root cause of the defect, performing collaborative correction, and generating improvement data, complex defect problems can be systematically analyzed and resolved, avoiding one-sided corrections and resulting in a comprehensive improvement in product quality.

[0130] In one possible implementation, please refer to Figure 10 The method also includes: when the production processing plan indicated by the processing data is the optimal production plan, controlling the production device to produce light bulbs based on the production processing plan indicated by the processing data.

[0131] For example, by establishing an evaluation index system for production plans, such as product qualification rate, production time, and energy consumption, and by comparing the performance of production plans indicated by different processing data on these indicators, the plan with the highest comprehensive score is identified as the optimal production plan. When it is confirmed that the plan indicated by the current processing data is optimal, the various parameters of the plan (such as stamping pressure, processing size, production speed, etc.) are input into the control system of the production device. The control system automatically controls the operation of the production device according to these parameters, such as controlling the stamping press to work at the set pressure and controlling the cutting tool to process at the set size, thereby producing light bulbs.

[0132] This setup, which organizes production under the optimal production plan, can maximize production benefits while ensuring product quality, improve production efficiency, reduce production costs, and identify the optimal production plan and control production based on it. It can make full use of existing optimal production experience and data.

[0133] S500 is a light bulb production device based on improved data control.

[0134] For example, various parameters from the improved data (such as the adjusted bevel angle machining process parameters, component clearance machining parameters, etc.) are transmitted to the control device of the production unit. The control device sets and adjusts various aspects of the production unit based on these parameters. For instance, based on the adjusted stamping parameters in the improved data, the downward speed and holding time of the stamping press are controlled; based on the clearance correction values ​​in the improved data, the running trajectory and machining dimensions of the machining tool are controlled. During the production process, the operating status of the production unit is monitored in real time to produce light bulbs that meet quality standards.

[0135] This design reduces the occurrence of defects in the produced light bulbs by addressing defects caused by the bulbs themselves, defects arising from mismatches, and defects resulting from the interaction between the two. It also increases the light coverage of the bulbs, providing users with more comfortable lighting when reading near bookshelves. By determining the optimal relationship between the bulb's base, power control, moving parts, and bulb body, flexible light adjustment and intelligent adaptation can be achieved. This effectively solves the problems of defects in the components themselves and defects in mismatches, improves the production quality and pass rate of the bulbs, and also promotes continuous improvement and optimization of the production process.

[0136] 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.

[0137] Corresponding to the production method in the above embodiments, this application also provides a light bulb production system, in which each unit can implement each step of the production method. Figure 10 A structural block diagram of a light bulb production system provided in an embodiment of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0138] Reference Figure 10 The light bulb production system includes: The first determining unit is used to determine the production data of the light bulb to be produced in response to the user's production operation; wherein the production data is used to indicate the production specifications and requirements of the light bulb; The generation unit is used to generate processing data for the light bulb based on the bulb's production data; wherein, the processing data is used to indicate the bulb's production and processing plan; The analysis unit is used to perform optimal analysis on the production and processing plan indicated by the processing data to obtain the detection result data; wherein, the detection result data is used to indicate whether the production and processing plan of the light bulb is the optimal production plan; The second determining unit is used to determine improvement data when the production processing plan indicated by the processing data is a non-optimal production plan; wherein, the improvement data is used to indicate the production improvement plan after improving the production processing plan indicated by the processing data. Control unit, used to control the production equipment to produce light bulbs based on improved data.

[0139] It should be noted that the information interaction and execution process between the above systems / units are based on the same concept as the method embodiments of this application. Their specific functions and technical effects can be found in the method embodiments section, and will not be repeated here.

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units 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 functional units and 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 units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0141] Figure 10 This is a schematic diagram of the structure of a control device provided in an embodiment of this application. Figure 11 As shown, the control device 6 in this embodiment includes: at least one processor 60 ( Figure 11 Only one is shown in the image), at least one memory 61 ( Figure 11 (Only one is shown in the diagram) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the control device 6 to perform the steps in any of the above control method embodiments, or causes the control device 6 to perform the functions of each module / unit in the above system embodiments.

[0142] 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 control device 6.

[0143] The control device 6 may be a microprocessor, DSP controller, MCU controller, digital signal processor, or programmable gate array, or other component with data processing capabilities. This control device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 11 This is merely an example of control device 6 and does not constitute a limitation on control 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.

[0144] 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.

[0145] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may be an external storage device of the control device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control device 6. Furthermore, the memory 61 may include both internal storage units and external storage devices of the control device 6. The memory 61 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of computer programs. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0146] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0147] This application provides a computer program product that, when run on a light bulb manufacturing device, causes the light bulb manufacturing device to perform the steps in any of the above-described method embodiments.

[0148] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to the light bulb manufacturing equipment, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.

[0149] 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.

[0150] 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, and such implementations should not be considered beyond the scope of this application.

[0151] In the embodiments provided in this application, it should be understood that the disclosed light bulb manufacturing method, light bulb manufacturing equipment, and light bulb manufacturing method can be implemented in other ways. For example, the light bulb manufacturing system and light bulb manufacturing equipment embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0152] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0153] 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 light bulb, characterized in that, Applied to bookshelves; the light bulb includes: A bottom shell, having an internal receiving space, has a beveled opening on its surface communicating with the receiving space, the axis of which is inclined to the height direction of the bottom shell; the bottom shell is used to be mounted on the bookshelf. The main power control is located within the accommodating space; The movable component is disposed within the receiving space and located on one side of the main power control; and A bulb body, at least partially connected to the movable member through the beveled cut, to allow the bulb body to rotate relative to the base shell and change position through the beveled cut and the movable member; the bulb body is used to provide light; A detection component is used to detect the position of the moving part and / or the bulb body, and is electrically connected to the main power control. The power control unit is used to provide electrical energy to the bulb body and adjust the light emitted by the bulb body according to the position of the moving part and / or the bulb body detected by the detection device.

2. The light bulb as claimed in claim 1, characterized in that, The detection component includes: A first detection element is disposed on the outer wall of the bottom shell; the first detection element is used to detect the background color of the paper in the book being read by the user; and The second detection element is disposed on the outer wall of the bottom shell; the second detection element is used to detect the position of the movable element and / or the bulb body and the surrounding light after the position is changed after the movable element drives the bulb body to change position.

3. The light bulb as described in claim 1, characterized in that, The power control system includes: A power source is located within the accommodating space and is mounted on the bottom shell; the movable component is located on one side of the power source; the power source is used to provide electrical energy. A control unit is located within the receiving space and is disposed on the power supply; the control unit is used to receive information sent by the detection component and control the bulb body to provide light according to the sent information.

4. A bulb control method, characterized in that, Applied to the light bulb according to any one of claims 1 to 3; the light bulb control method includes: The position information of the moving part and / or the bulb body is detected by the detection component; The light emitted by the bulb body is adjusted according to the position information.

5. A method for manufacturing a light bulb, characterized in that, The method for producing a light bulb as described in any one of claims 1 to 3 comprises: In response to user production operations, production data for the light bulb to be produced is determined; wherein, the production data is used to indicate the production specifications and production requirements of the light bulb, the production requirements including the distance requirements and movement requirements between the bulb body and the beveled cut, the dimensional requirements of the moving parts themselves, and the fitting requirements between the moving parts and the bulb body; Processing data for the light bulb is generated based on the production data of the light bulb; wherein the processing data is used to indicate the production and processing plan for the light bulb; The production and processing scheme indicated by the processing data is subjected to optimal analysis to obtain detection result data; wherein, the detection result data is used to indicate whether the production and processing scheme of the bulb is the optimal production scheme, and the optimal analysis includes the analysis between the bulb body and the oblique cut, the activity analysis of the moving part itself, and the analysis between the bulb body and the moving part; When the production processing plan indicated by the processing data is a non-optimal production plan, improvement data is determined; wherein, the improvement data is used to indicate the production improvement plan after improving the production processing plan indicated by the processing data; The improved data is used to control the production equipment to produce the light bulb.

6. The light bulb manufacturing method as described in claim 5, characterized in that, The optimal analysis of the production and processing scheme indicated by the processing data to obtain the detection result data includes: Obtain historical demand data and historical plan data; wherein the similarity between the historical demand data and the production specifications and requirements indicated by the production data is greater than or equal to 85%, and the historical plan data is used to indicate historical production plans generated based on the historical demand data; The historical plan data and the processing data are compared to obtain difference result data; wherein, the difference result data is used to indicate the differences between the historical production plan and the production and processing plan; Obtain quality inspection result data of multiple batches of the bulbs produced in history; wherein the quality inspection result data is used to indicate a first type of defect, a second type of defect, and a third type of defect in the bulbs produced in history, wherein the first type of defect occurs more frequently than the second type of defect, the second type of defect occurs more frequently than the third type of defect, and the first type of defect, the second type of defect, and the third type of defect are all usage defects of the bulbs produced; The test result data is obtained based on the difference result data and the quality inspection result data.

7. The light bulb manufacturing method as described in claim 5, characterized in that, When the production processing plan indicated by the processing data is a non-optimal production plan, the method for determining improvement data includes: If the production processing plan indicated by the processing data is not the optimal production plan, feedback data is continuously received; wherein, the feedback data is used to indicate defects to be improved obtained from user experience feedback, and the defects to be improved are defects caused by the component itself or / and defects caused by the coordination between the components; Improvement data is determined based on the feedback data and the processing data.

8. The light bulb manufacturing method as described in claim 7, characterized in that, The step of determining improvement data based on the feedback data and the processing data includes: If the only defect indicated by the feedback data is caused by the component itself, and the defect caused by the component itself is a defect in the bevel angle, then the processing error distribution of the bevel angle is obtained, and the mean deviation is calculated based on the processing error distribution. Extract the stamping parameters from the production unit; The extracted stamping parameters and the mean deviation are calculated to obtain the compensation amount: The tilt compensation value is obtained based on the compensation amount; Replace the production process with the production process corresponding to the tilt angle compensation value and the production and processing scheme indicated by the processing data; The production and processing scheme that completes the replacement of the production process is determined as the improved data.

9. The light bulb manufacturing method as described in claim 7, characterized in that, The step of determining improvement data based on the feedback data and the processing data includes: If the defect is caused only by the cooperation between the components indicated by the feedback data, then the reason for the cooperation between the components is that the bulb body is stuck at the oblique cut. The stuck position distribution of the bulb body at the oblique cut is extracted, and the interference force is calculated based on the stuck position distribution. Obtain the operating temperature of the power supply; Calculate the thermal expansion offset based on the operating temperature and the interference force: The gap correction value is determined based on the thermal expansion offset. Replace the processing technology corresponding to the gap correction value and the production processing scheme indicated by the processing data with the processing technology; The production and processing scheme that completes the replacement of the aforementioned processing technology is determined as the improved data.

10. The light bulb manufacturing method as described in claim 8, characterized in that, After replacing the production process corresponding to the tilt angle compensation value and the production processing scheme indicated by the processing data, the process includes: Obtain the coefficient of thermal expansion and springback characteristics of the bottom shell material batches; Angle error is established based on historical stamping data; wherein, the historical stamping data is used to indicate the downward speed and holding time of the stamping press in history; The thermal expansion coefficient, the springback characteristics, and the tilt angle error are used to determine the stamping data; wherein the stamping data is used to indicate the adjustment amount of the stamping machine parameters.

Images