Assembly type production management system capable of automatically collecting assembly line product information

Abstract

The utility model discloses an assembly type production management system capable of automatically collecting assembly line product information, a detection mechanism comprises a servo motor and a lifting screw rod, an output shaft of the servo motor is in key connection with a first bevel gear, the bottom of the lifting screw rod is in key connection with a second bevel gear, and the second bevel gear is in key connection with a third bevel gear. The first bevel gear and the second bevel gear are in meshed connection, the lifting screw is in threaded connection with a lifting ring, the outer side of the lifting screw is sleeved with a positioning cylinder, the lifting ring is located between the lifting screw and the positioning cylinder, and one side of the lifting ring is provided with a sensor group through a mounting plate; the servo motor can drive the lifting screw rod to rotate and adjust through the first bevel gear and the second bevel gear, so that the sensor group can be conveniently controlled to perform lifting adjustment; visual management, process state real-time tracking and intelligent notification of the production process of the fabricated building component can be realized, so that the overall production efficiency is improved, and the management cost is reduced.

Description

Technical Field

[0001] This utility model relates to the field of prefabricated building technology, and more specifically to production management, specifically to a prefabricated production management system that automatically collects product information from the production line. Background Technology

[0002] In the construction engineering field, prefabricated buildings have been widely used due to their advantages such as high production efficiency, short construction cycle, and convenient installation. However, in the process of mass production of components, there are problems such as vague production status information and poor real-time performance. This leads to personnel in related logistics and transportation links being unable to accurately grasp the actual production progress of components, and they can only rely on on-site notifications to queue for pickup, affecting construction plans and overall project progress. Therefore, there is an urgent need for an implementable intelligent production management system suitable for prefabricated building factories to achieve real-time collection and feedback of production status, improve component circulation efficiency, and optimize resource allocation.

[0003] In the prior art, publication number CN206271025U, entitled "An Item Management System for a Production Line," the production line has multiple production lines, each with a conveyor belt carrying multiple items. Each production line has a support (10), which includes a crossbar located above the conveyor belt. The item management system includes an information acquisition unit (2) mounted on the crossbar and an electronic tag (1) on the surface of each item. The information acquisition unit (2) includes an electronic tag reader (3) for reading item information from the electronic tag (1), a central processing unit (6), a temperature and humidity sensor (4), an air quality sensor (5), and an alarm device. The item management system of this invention can automatically scan the electronic tags on the items, saving manpower, and can monitor the environmental conditions and personnel working conditions of the production line in real time, making it easier for managers to control the production status.

[0004] However, while the aforementioned technologies can scan and identify products, they cannot effectively identify products, and the sensors cannot be effectively adjusted in height, resulting in problems such as the sensors being unable to effectively scan and identify products during data acquisition. Utility Model Content

[0005] One objective of this invention is to provide a new technical solution for an assembly production management system that automatically collects product information from production lines.

[0006] According to a first aspect of the present invention, an assembly production management system for automatically collecting product information from an assembly line is provided, comprising multiple workstations, including a cleaning workstation, a first workstation, a critical workstation one, a critical workstation two, a critical workstation three, and an unfinished workstation. Detection mechanisms are provided at each of the cleaning workstation, the first workstation, the critical workstation one, the critical workstation two, the critical workstation three, and the unfinished workstation.

[0007] The detection mechanism includes a servo motor and a lifting screw. A first bevel gear is keyed to the output shaft of the servo motor, and a second bevel gear is keyed to the bottom of the lifting screw. The first and second bevel gears are meshed together. A lifting ring is threaded onto the lifting screw, and a positioning cylinder is sleeved on the outer side of the lifting screw. The lifting ring is located between the lifting screw and the positioning cylinder. A sensor group is mounted on one side of the lifting ring via a mounting plate.

[0008] Furthermore, it also includes a base plate, the bottom end of the lifting screw is movably connected to the base plate, a bearing plate is fixedly provided in the middle of the base plate, a support plate is fixedly provided on the other side of the base plate, and the upper end of the support plate is fixedly connected to one side of the positioning cylinder.

[0009] Furthermore, the servo motor is fixedly mounted on one side of the base plate, the output shaft is mounted through the bearing plate, and mounting screw holes are provided on both sides of the base plate.

[0010] Furthermore, two sliding tracks are provided on one side of the positioning cylinder, and two connecting rods are fixedly provided on one side of the lifting ring. The two connecting rods are respectively located inside the two sliding tracks, and one side of the support plate is fixedly connected to the ends of the two connecting rods.

[0011] Furthermore, four guide rods are fixedly installed on the base plate, and protective springs are respectively sleeved on the bottom of the four guide rods. A contact plate is fixedly connected to the upper end of the protective spring, and the contact plate is movably sleeved on the guide rod. A limit plate is fixedly connected to the top of the four guide rods.

[0012] Furthermore, it also includes a production management information system, which includes a client, an edge computing terminal, a central server, a production terminal, and a network communication system;

[0013] The client is a mobile app on the user's mobile terminal;

[0014] The edge computing terminal includes a data acquisition module, a binding module, a synchronization module, and a scheduling module;

[0015] The central server includes a logic module, an image recognition module, a crystal analysis module, and a management module.

[0016] The production terminal includes a visual management platform;

[0017] The network communication system uses a WIFI or 5G communication module.

[0018] The beneficial effects of this utility model are:

[0019] This utility model uses a servo motor for power output, which enables the servo motor to drive the lifting screw to rotate and adjust through the first bevel gear and the second bevel gear. This facilitates the control of the sensor group to adjust the height, allowing the sensor group to accurately collect the labels in the prefabricated building component production process, thus facilitating the acquisition of information about the prefabricated building components.

[0020] When the lifting screw rotates, it can drive the lifting ring to adjust its height. In order to maintain the stable adjustment of the lifting ring, the positioning cylinder limits the lifting ring and maintains its stability. The sliding track and connecting rod on the positioning cylinder also maintain the stability of the lifting ring's adjustment, preventing the lifting ring from rotating with the lifting screw. This also makes it easier for the sensor group to accurately collect information about the prefabricated building components.

[0021] Furthermore, the production management information system can establish a direct connection between the production line and the client, enabling visualized management of the prefabricated building component production process, real-time tracking of process status, and intelligent notifications. This improves overall production efficiency and reduces management costs, demonstrating promising application prospects. The system also allows for the regulation and control of the production line through a logic module in the central server, the identification of information from the labels on prefabricated building components through an image recognition module, and the prediction of the strength of prefabricated building components through a crystal analysis module. This facilitates timely access to production process and quality information for prefabricated building components by the client.

[0022] Other features and advantages of the present invention will become clear from the following detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings. Attached Figure Description

[0023] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments of the present invention and, together with their description, serve to explain the principles of the present invention.

[0024] Figure 1 This is a schematic diagram on the right side of a testing mechanism in an assembly production management system that automatically collects product information from an assembly line, as shown in one embodiment.

[0025] Figure 2 This is a schematic diagram of the left side of the testing mechanism of an assembly production management system that automatically collects product information from an assembly line, as shown in one embodiment.

[0026] Figure 3 This is a partial structural diagram of the detection mechanism of an assembly production management system that automatically collects product information from an assembly line, as shown in one embodiment.

[0027] Figure 4 This is a schematic diagram of the meshing of the first and second bevel gears in the detection mechanism of an assembly production management system for automatically collecting product information from an assembly line, as shown in one embodiment.

[0028] Figure 5 This is a schematic diagram of an assembly line for an assembly production management system that automatically collects product information from an assembly line, as described in another embodiment.

[0029] Figure 6 This is a schematic diagram of the system structure of an assembly production management system that automatically collects product information from an assembly line, as shown in another embodiment.

[0030] The following are marked in the diagram: 1. Base plate; 2. Bearing plate; 3. Servo motor; 4. First bevel gear; 5. Lifting screw; 6. Second bevel gear; 7. Lifting ring; 8. Positioning cylinder; 9. Sliding track; 10. Mounting plate; 11. Sensor group; 12. Output shaft; 13. Guide rod; 14. Contact plate; 15. Protective spring; 16. Limiting plate; 17. Support plate; 18. Mounting screw hole; 19. Connecting rod. Detailed Implementation

[0031] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0032] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0033] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0034] In all the examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0035] Example 1:

[0036] like Figure 1-5As shown, an assembly production management system for automatically collecting product information from an assembly line has multiple workstations, including a cleaning workstation, a first workstation, a critical workstation 1, a critical workstation 2, a critical workstation 3, and a final workstation. Detection mechanisms are installed at the cleaning workstation, the first workstation, the critical workstation 1, the critical workstation 2, the critical workstation 3, and the final workstation.

[0037] The detection mechanism includes a servo motor 3 and a lifting screw 5. A first bevel gear 4 is keyed to the output shaft 12 of the servo motor 3, and a second bevel gear 6 is keyed to the bottom of the lifting screw 5. The first bevel gear 4 and the second bevel gear 6 are meshed together. A lifting ring 7 is threaded onto the lifting screw 5. A positioning cylinder 8 is sleeved on the outside of the lifting screw 5. The lifting ring 7 is located between the lifting screw 5 and the positioning cylinder 8. A sensor group 11 is mounted on one side of the lifting ring 7 through a mounting plate 10.

[0038] It should be noted that the servo motor 3 drives the lifting screw 5 to rotate, and the lifting screw 5 drives the lifting ring 7 to adjust its height. This allows the lifting ring 7 to adjust the height of the sensor group 11 via the mounting plate 10, enabling the sensor group 11 to accurately collect the labels in the prefabricated building component production process, thus facilitating the acquisition of information about the prefabricated building components.

[0039] In this embodiment, preferably, it also includes a base plate 1, the bottom end of the lifting screw 5 is movably connected to the base plate 1, a bearing plate 2 is fixedly provided in the middle of the base plate 1, a support plate 17 is fixedly provided on the other side of the base plate 1, and the upper end of the support plate 17 is fixedly connected to one side of the positioning cylinder 8.

[0040] It should be noted that the base plate 1 is set up to install the detection mechanism, and the output shaft 12 is installed through the bearing plate 2. The support plate 17 is set up to fix the positioning cylinder 8 and maintain the stability of the positioning cylinder 8 on the lifting screw 5.

[0041] In this embodiment, preferably, the servo motor 3 is fixedly installed on one side of the base plate 1, the output shaft 12 is installed through the bearing plate 2, and mounting screw holes 18 are provided on both sides of the base plate 1.

[0042] It should be noted that the servo motor 3 is mounted on the base plate 1 to facilitate the stability of the servo motor 3 and the overall integrity of the equipment. The bearing plate 2 is set to mount the output shaft 12 to facilitate stable rotation. The base plate 1 is mounted through the mounting screw holes 18 to maintain the stability of the detection mechanism.

[0043] In this embodiment, preferably, two sliding tracks 9 are provided on one side of the positioning cylinder 8, and two connecting rods 19 are fixedly provided on one side of the lifting ring 7. The two connecting rods 19 are respectively located inside the two sliding tracks 9, and one side of the support plate 17 is fixedly connected to the ends of the two connecting rods 19.

[0044] It should be noted that by setting the sliding track 9 on the positioning cylinder 8, the connecting rod 19 on the lifting ring 7 can be inserted and connected in an active manner, which facilitates the stability of the lifting ring 7 during lifting and lowering adjustment.

[0045] In this embodiment, preferably, four guide rods 13 are fixedly installed on the base plate 1, and protective springs 15 are respectively sleeved on the bottom of the four guide rods 13. A contact plate 14 is fixedly connected to the upper end of the protective spring 15, and the contact plate 14 is movably sleeved on the guide rod 13. A limit plate 16 is fixedly connected to the top of the four guide rods 13.

[0046] It should be noted that the four guide rods 13 are used to slide the mounting plate 10, maintain the stability of the mounting plate 10 for lifting and adjusting, and support the mounting plate 10 through the bottom protective spring 15 and contact plate 14 to prevent collisions during the lifting and adjusting process. The limit plate 16 can prevent the mounting plate 10 from moving excessively and causing it to fall off and be damaged.

[0047] Example 2, reference Figure 6 It also includes a production management information system, which includes a client, an edge computing terminal, a central server, production terminals, and a network communication system;

[0048] The client is a mobile app on the user's mobile terminal;

[0049] The edge computing terminal includes a data acquisition module, a binding module, a synchronization module, and a scheduling module;

[0050] The central server includes a logic module, an image recognition module, a crystal analysis module, and a management module.

[0051] The production terminal includes a visual management platform;

[0052] The network communication system uses a WIFI or 5G communication module;

[0053] It should be noted that the client obtains various parameter data information collected by the edge computing terminal through a mobile APP on the mobile terminal. The edge computing terminal transmits the collected data to the central server, which analyzes and processes the parameters and then transmits the processed data information back to the edge computing terminal. The edge computing terminal then transmits the processed data information back to the mobile APP. The edge computing terminal controls and adjusts the production line, and the production terminal displays the data on the visualization management platform. The client, edge computing terminal, central server, and production terminal transmit data information through the WIFI or 5G communication module of the network communication system.

[0054] Specifically, the system in this utility model achieves accurate collection and feedback of production information in the following ways: Clients or workers bind their planned production products to a mobile app. The mobile app supports user authentication and assigns operation permissions based on roles (such as production staff, quality inspectors, dispatchers, etc.); and transmits product information to a central server; the management module in the central server confirms the product launch sequence information via software before the products are put into operation; when a product passes through a cleaning station equipped with a testing mechanism, the first station, key station one, key station two, key station three, and the final station, the system... The edge computing terminal uses a data acquisition module to collect tags from prefabricated building components. After identifying the tags, a binding module binds the information of the prefabricated building components, as well as the information of production and inspection personnel, to facilitate subsequent traceability. The binding module is used to bind or unbind prefabricated building components to their numbers or plans and synchronize this information to the server. The online confirmation module is used to confirm the online sequence and plan status of prefabricated building components before they enter the production line and records the online time. The system also collects crystal structure parameters inside the prefabricated building components. The data acquisition module includes a high-definition industrial camera and an X-ray diffraction device. The sensor, a high-definition industrial camera, is used to collect labels on prefabricated building components. An X-ray diffraction sensor is used to sense internal crystal structure parameters. Data is collected synchronously via a synchronization module, and start and end times are recorded. During high-definition industrial camera shooting, if the label is too high or too low, a servo motor 3 drives a lifting screw 5 to rotate. The lifting screw 5 then drives a lifting ring 7 to adjust its position. This allows the lifting ring 7 to adjust the sensor assembly 11 via the mounting plate 10, enabling the sensor assembly 11 to accurately collect labels from the prefabricated building component production process, facilitating data acquisition. The system acquires information about prefabricated building components; the central server receives status information reported by the mobile app and sensor group 11, performs data analysis and generates scheduling instructions, and provides real-time status dashboards for prefabricated building components, production efficiency charts, and anomaly warnings; it supports functions such as task assignment, production scheduling, and data export; sensor group 11 is deployed at key workstations to automatically sense whether prefabricated building components have arrived at / left the designated location and report the process status; the sensor group 11's data acquisition service monitors and collects signals from sensor group 11 in real time; after compressing and formatting the collected raw data, it is uniformly reported to the server via HTTP or MQTT protocol;

[0055] The central server receives data from the acquisition module in real time, mainly including label images captured by high-definition industrial cameras and crystal structure parameters captured by X-ray diffraction sensors. The image recognition module analyzes the label images and identifies the information on the labels.

[0056] The specific steps by which the image recognition module analyzes the label images are as follows:

[0057] Image preprocessing is used to suppress noise, enhance contrast, and select spectral channels in the acquired image data;

[0058] An adaptive histogram equalization algorithm is used to dynamically enhance the contrast of image data. The enhancement strength is determined by both the image signal-to-noise ratio (SNR) and the label sharpness (SSIM value), as shown in the formula:

[0059]

[0060] Where K represents the preset dynamic enhancement coefficient (K = 1.5~2.0), which increases the enhancement value when the SNR or SSIM value decreases. strength Increase the size to improve the sharpness of the label edges and the readability of the characters.

[0061] Parameter explanation: SNR: Image signal-to-noise ratio, reflecting the degree of noise interference; SSIM: Structural similarity index, reflecting the sharpness match between the label and the ideal image; Enhancement strength Dynamically enhances intensity, controlling the magnitude of contrast adjustment;

[0062] Label localization is used to identify the position coordinates of labels in an image using object detection algorithms;

[0063] The YOLOv8 object detection model was used to identify the position coordinates (x, y, w, h) of the label in the image, and the offset (Δx, Δy) between the label and the center point of the workstation was calculated.

[0064] The formula is:

[0065] Where, d threshold This is expressed as a preset offset tolerance range (e.g., ±50mm). When Δx or Δy exceeds the threshold, a repositioning command is triggered from the image acquisition module.

[0066] Parameter explanation: x label y label : The center coordinates of the label in the image; x center y center : Coordinates of the center point of the workstation; d threshold Offset tolerance range, used to determine whether the tag is within the valid recognition area;

[0067] When the label is not in the effective recognition area, the production line is regulated by the logic module and the detection mechanism is controlled by the PID feedback system to adjust the height of the detection mechanism so that the detection mechanism can accurately collect the label and keep the label in the effective recognition area.

[0068] OCR recognition is used to perform optical character recognition on label content;

[0069] Semantic association analysis is used to semantically match OCR recognition results with preset process states;

[0070] Dynamic adjustment is used to adjust production plans or trigger alarm mechanisms based on semantic matching results;

[0071] The specific analysis and processing steps for the crystal structure parameters acquired by the X-ray diffraction sensor are as follows:

[0072] The diffraction pattern data of the component material was collected by an X-ray diffractometer and converted into a two-dimensional diffraction intensity matrix (I(x,y)), where x is the diffraction angle (2θ) and y is the intensity value;

[0073] The Fourier transform algorithm is used to perform frequency domain analysis on the two-dimensional matrix to extract the characteristic frequencies of the main crystal phases (f). i ) and diffraction peak width (Δθ) i );

[0074] The diffraction peaks were fitted using a Gaussian fitting algorithm, and the lattice distortion rate (Δd) was calculated.

[0075] The formula is:

[0076] Where λ represents the X-ray wavelength, θ i Let Δθ represent the center angle of the i-th diffraction peak. i Expressed as peak width;

[0077] The crystal phase content (C) i The ratio of diffraction peak intensity to (I) i / I j Input a multivariate nonlinear regression model to calculate the predicted material strength (S). pred ),

[0078] The formula is:

[0079] Where, β i Let β be the intensity coefficient of the i-th crystalline phase (0.1≤β). i ≤0.5), where γ represents the nonlinear weight of the peak intensity ratio (0.2≤γ≤0.4), and δ represents the linear weight of the lattice distortion rate (-0.3≤δ≤-0.5);

[0080] S is analyzed using the dynamic time warping algorithm. pred Compared with historical intensity data (S hist By comparing the two, the material performance deviation value (ΔS) is calculated.

[0081]

[0082] Where T represents the time period (e.g., 1 hour), and ΔS reflects the degree of fluctuation in material properties.

[0083] Parameter explanation: S pred Predicted material strength (MPa); S hist Historical strength data (MPa); ΔS: Material performance deviation value, used to determine whether process parameters need to be adjusted.

[0084] The material grading method based on ΔS divides ΔS into four grades:

[0085] Level 1 (Normal Range): ΔS≤3MPa, indicating that the fluctuation of material properties is within an acceptable range;

[0086] Level 2 (Slight Deviation): 3MPa < ΔS ≤ 6MPa, indicating slight fluctuations in material properties, requiring adjustment of process parameters;

[0087] Level 3 (Medium Deviation): 6MPa < ΔS ≤ 10MPa indicates significant fluctuations in material properties, requiring manual review.

[0088] Level 4 (Severe Deviation): ΔS>10MPa indicates abnormal material properties, requiring shutdown and recording of the abnormal event.

[0089] Furthermore, the synchronization module calculates the actual time taken for each process and generates the product's production trajectory and station dwell time. Once all key processes are completed, the system automatically determines that the product is finished and sends a notification to the logistics department or relevant personnel.

[0090] Although specific embodiments of the present invention have been described in detail by way of examples, those skilled in the art should understand that the above examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. An assembly production management system for automatically collecting product information of an assembly line, characterized by: Multiple stations, mainly including a cleaning station, a first station, a first key station, a second key station, a third key station and a non-station, detection mechanisms are arranged on the cleaning station, the first station, the first key station, the second key station, the third key station and the non-station; The detection mechanism comprises a servo motor (3) and a lifting screw (5), a first bevel gear (4) is connected to the output shaft (12) of the servo motor (3), a second bevel gear (6) is connected to the bottom of the lifting screw (5), the first bevel gear (4) and the second bevel gear (6) are meshed and connected, a lifting ring (7) is threadedly connected to the lifting screw (5), a positioning cylinder (8) is sleeved on the outer side of the lifting screw (5), the lifting ring (7) is between the lifting screw (5) and the positioning cylinder (8), a sensor group (11) is mounted on one side of the lifting ring (7) through a mounting plate (10).

2. The assembly type production management system for automatically collecting product information of a flow line according to claim 1, characterized in that: It also comprises a bottom plate (1), the bottom end of the lifting screw (5) is movably connected to the bottom plate (1), a bearing plate (2) is fixedly arranged in the middle of the bottom plate (1), a support plate (17) is fixedly arranged on the other side of the bottom plate (1), and the upper end of the support plate (17) is fixedly connected to one side of the positioning cylinder (8).

3. The modular production management system for automatically collecting product information of a production line according to claim 2, wherein: The servo motor (3) is fixedly mounted on one side of the bottom plate (1), the output shaft (12) penetrates through the bearing plate (2), and mounting screw holes (18) are formed in the two sides of the bottom plate (1).

4. The assembly line production management system for automatically collecting product information of a pipeline according to claim 2, characterized in that: A plurality of sliding channels (9) are formed in one side of the positioning cylinder (8), two connecting rods (19) are fixedly arranged on one side of the lifting ring (7), the two connecting rods (19) are respectively arranged in the two sliding channels (9), and one side of the support plate (17) is fixedly connected to the ends of the two connecting rods (19).

5. The modular production management system for automatically collecting product information of a production line according to claim 2, wherein: Four guide rods (13) are fixedly mounted on the bottom plate (1), protective springs (15) are sleeved on the bottoms of the four guide rods (13), contact plates (14) are fixedly connected to the upper ends of the protective springs (15), the contact plates (14) are movably sleeved on the guide rods (13), and limiting plates (16) are fixedly connected to the tops of the four guide rods (13).

6. The modular production management system for automatically collecting product information of a production line according to claim 1, wherein: It also comprises a production management information system, the production management information system comprises a client, an edge computing terminal, a central server, a production terminal and a network communication system; The client is a mobile terminal APP of a user; The edge computing terminal comprises an acquisition module, a binding module, a synchronization module and a scheduling module; The central server comprises a logic module, an image recognition module, a crystal analysis module and a management module; The production terminal comprises a visual management platform; The network communication system adopts a WIFI or 5G communication module.

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