Intelligent monitoring device for mechanical assembly production line

Abstract

The utility model provides a kind of intelligent monitoring device for mechanical assembly production line, it is related to the field of intelligent monitoring equipment for mechanical assembly production line, including multi-axis mechanical arm, high-definition camera group, light supplementing component, AI edge controller, intelligent analysis module, alarm indicator and pedestal, multi-axis mechanical arm is installed in the top of pedestal, pedestal is fixed on assembly production line, high-definition camera group and light supplementing component are all installed in the end of multi-axis mechanical arm;The utility model realizes the omnidirectional, multi-angle monitoring of high-definition camera group and light supplementing component on assembly production line by the flexible adjustment of multi-axis mechanical arm, effectively improves the coverage range and precision of monitoring, the intelligent analysis module in AI edge controller can process the image data collected by high-definition camera group in real time, through image processing, feature extraction and decision determination, quickly and accurately identify the abnormal situation on assembly line, so as to trigger alarm indicator in time and warn.

Description

Technical Field

[0001] This utility model belongs to the field of intelligent monitoring equipment for mechanical assembly production lines, specifically an intelligent monitoring device for mechanical assembly production lines. Background Technology

[0002] A mechanical assembly line is an automated production system that integrates conveying equipment, specialized mechanical devices, and control systems. It is mainly used to complete processes such as product assembly, testing, and packaging. Its core objective is to improve production efficiency, ensure product quality, and reduce labor costs through automation technology.

[0003] Intelligent monitoring devices are integrated cameras based on the Internet of Things (IoT), sensor technology, and data analysis algorithms. They are devices that can automatically identify and handle abnormal situations and are widely used in many fields. In mechanical assembly lines, intelligent monitoring devices use IoT, machine vision, AI analysis, and other technologies to manage the entire assembly process, monitor the assembly line's operating status, equipment parameters, product quality, and production process in real time, thereby ensuring efficient, accurate, and stable production.

[0004] Traditional intelligent monitoring devices mostly adopt a fixed structure, which is fixed on the assembly line and monitors the assembly line operation through monitoring cameras. However, traditional fixed cameras have problems such as difficulty in covering complex assembly angles and inability to dynamically track moving workpieces. Moreover, a single camera cannot simultaneously meet the needs of large-area monitoring and high-precision detection.

[0005] In summary, this utility model provides an intelligent monitoring device for mechanical assembly production lines to solve the above-mentioned problems. Utility Model Content

[0006] To solve the above-mentioned technical problems, this utility model provides the following technical solution:

[0007] An intelligent monitoring device for a mechanical assembly line includes a multi-axis robotic arm, a high-definition camera group, a supplementary lighting component, an AI edge controller, an intelligent analysis module, an alarm indicator light, and a base. The multi-axis robotic arm is mounted on top of the base, which is fixed to the assembly line. The high-definition camera group and the supplementary lighting component are both mounted at the end of the multi-axis robotic arm. The intelligent analysis module is deployed within the AI ​​edge controller. The alarm indicator light is located on top of the base. The high-definition camera group includes a bracket fixed to the end of the multi-axis robotic arm, a main camera fixed to the surface of the bracket, and an auxiliary camera. Two sets of auxiliary cameras are provided, located on either side of the main camera.

[0008] Furthermore, in this invention, the multi-axis robotic arm is fixed to the top of the base by bolts, and the multi-axis robotic arm adopts three-axis servo adjustment, including horizontal rotation, pitch adjustment and telescopic adjustment.

[0009] Furthermore, in this invention, the main camera is equipped with a fixed-focus lens for global monitoring, and the auxiliary camera is equipped with a zoom lens for detail capture.

[0010] Furthermore, in this invention, the supplementary lighting assembly includes a light sensor mounted on the end of the multi-axis robotic arm for environmental detection, and an LED supplementary light fixed to the surface of the bracket for providing illumination.

[0011] Furthermore, in this invention, the AI ​​edge controller is located on one side of the base, and the intelligent analysis module is based on edge computing and includes an image processing unit, a feature extraction unit, and a decision-making unit.

[0012] Furthermore, in this invention, the alarm indicator light is fixed to the top of the base, and the base is fixed to the assembly line by bolts.

[0013] Furthermore, in this invention, the output terminals of the high-definition camera group and the light sensor are both connected to the input terminal of the AI ​​edge controller, and the output terminal of the AI ​​edge controller is connected to the input terminals of the multi-axis robotic arm, the alarm indicator light, and the LED fill light, respectively.

[0014] Beneficial effects: This utility model has the following beneficial effects:

[0015] This invention, through the flexible adjustment of a multi-axis robotic arm, enables comprehensive, multi-angle monitoring of a high-definition camera array and supplementary lighting components on the assembly line, effectively improving the coverage and accuracy of monitoring. Simultaneously, the intelligent analysis module within the AI ​​edge controller processes image data collected by the high-definition camera array in real time. Through image processing, feature extraction, and decision-making, it quickly and accurately identifies abnormalities on the assembly line, triggering alarm indicator lights in a timely manner. Furthermore, by controlling the multi-axis robotic arm and LED supplementary lighting for dynamic tracking and illumination, it effectively provides clear monitoring images and accurate anomaly information, enabling rapid action. Through the coordinated operation of various components, it effectively improves the production efficiency and product quality of the mechanical assembly line. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the main structure of this utility model;

[0017] Figure 2 This is a schematic diagram of the separated structure of the multi-axis robotic arm and the high-definition camera group of this utility model;

[0018] Figure 3 This is a schematic diagram of the system flow structure of this utility model.

[0019] In the picture:

[0020] 100. Multi-axis robotic arm; 200. High-definition camera group; 210. Stand; 220. Main camera; 230. Auxiliary camera; 300. Fill light assembly; 310. Light sensor; 320. LED fill light; 400. AI edge controller; 500. Intelligent analysis module; 600. Alarm indicator light; 700. Base. Detailed Implementation

[0021] To better understand the technical content of this utility model, specific embodiments are described below in conjunction with the accompanying drawings. Various aspects of this utility model are described in this disclosure with reference to the accompanying drawings, which illustrate numerous illustrative embodiments. The embodiments of this disclosure are not necessarily defined to include all aspects of this utility model. It should be understood that the various concepts and embodiments described above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed in this utility model are not limited to any particular implementation. Furthermore, some aspects of this utility model can be used alone or in any suitable combination with other aspects disclosed in this utility model.

[0022] Example 1

[0023] like Figure 1-3 As shown, this is the first embodiment of the present invention. This embodiment provides an intelligent monitoring device for a mechanical assembly line, including a multi-axis robotic arm 100, a high-definition camera group 200, a supplementary lighting component 300, an AI edge controller 400, an intelligent analysis module 500, an alarm indicator light 600, and a base 700. The multi-axis robotic arm 100 is mounted on the top of the base 700, and the base 700 is fixed on the assembly line. The high-definition camera group 200 and the supplementary lighting component 300 are both mounted on the end of the multi-axis robotic arm 100. The intelligent analysis module 500 is deployed inside the AI ​​edge controller 400. The alarm indicator light 600 is located on the top of the base 700. The high-definition camera group 200 includes a bracket 210 fixed to the end of the multi-axis robotic arm 100, a main camera 220 fixed to the surface of the bracket 210, and an auxiliary camera 230. The auxiliary camera 230 is provided in two sets, located on both sides of the main camera 220.

[0024] like Figure 1-3As shown, the base 700 is fixed to the assembly line, the multi-axis robotic arm 100 is mounted on the base 700 and has multi-angle adjustment function, the high-definition camera group 200 is mounted at the end of the multi-axis robotic arm 100, the intelligent analysis module 500 is integrated into the AI ​​edge controller 400, the supplementary lighting component 300 provides shooting illumination for the high-definition camera group 200, and the alarm indicator light 600 is used to provide sequential alarm prompts. The high-definition camera group 200 collects images of the assembly process. After the image data is preprocessed by the intelligent analysis module 500, key feature parameters are extracted and compared with preset standard values. When the deviation exceeds the threshold, the alarm indicator light 600 is triggered. The supplementary lighting component 300 monitors the changes in ambient light in real time through the light sensor 310 and automatically adjusts the intensity of the LED supplementary light 320 to ensure the image acquisition quality. With the movement of the multi-axis robotic arm 100, the position and angle of the high-definition camera group 200 can be flexibly changed to achieve accurate monitoring of assembly stations at different positions and angles, thereby eliminating monitoring blind spots.

[0025] The high-definition camera group 200 uses a main camera 220 and an auxiliary camera 230 to meet the needs of large-area monitoring and high-precision detection. The main camera 220 is equipped with a fixed-focus lens for global monitoring, which can grasp the overall operation status of the entire assembly line. The auxiliary camera 230 is equipped with a zoom lens for detail capture, which can magnify and perform macro detection on key parts with high assembly precision requirements. In conjunction with the intelligent analysis module 500, it can fuse images collected by different cameras to form a multi-scale and multi-dimensional monitoring picture. Through the flexible control of the robotic arm, multi-camera collaboration, AI edge computing and intelligent analysis, environmental adaptive lighting, and alarm feedback integration, it solves the limitations of traditional fixed camera monitoring systems in assembly line applications and effectively improves assembly efficiency.

[0026] Example 2

[0027] Reference Figure 1-3 This is the second embodiment of the present invention, which is based on the previous embodiment.

[0028] In this embodiment, the multi-axis robotic arm 100 is fixed to the top of the base 700 by bolts. The multi-axis robotic arm 100 adopts three-axis servo adjustment, including horizontal rotation, pitch adjustment and telescopic adjustment.

[0029] The main camera 220 is equipped with a fixed-focus lens for overall monitoring, while the auxiliary camera 230 is equipped with a zoom lens for capturing details.

[0030] The supplementary lighting assembly 300 includes a light sensor 310 mounted on the end of the multi-axis robotic arm 100 for environmental detection, and an LED supplementary light 320 fixed to the surface of the bracket 210 for providing illumination.

[0031] The AI ​​edge controller 400 is located on one side of the base 700. The intelligent analysis module 500 is based on edge computing and includes an image processing unit, a feature extraction unit, and a decision-making unit.

[0032] The alarm indicator light 600 is fixed to the top of the base 700, which is fixed to the assembly line by bolts.

[0033] The outputs of the high-definition camera group 200 and the light sensor 310 are both connected to the input of the AI ​​edge controller 400. The output of the AI ​​edge controller 400 is connected to the input of the multi-axis robotic arm 100, the alarm indicator 600 and the LED fill light 320, respectively.

[0034] like Figure 1-3 As shown, the multi-axis robotic arm 100 is bolted to the top of the base 700 and features three-axis servo adjustment, enabling precise spatial positioning and angle adjustment of the high-definition camera group 200. Data collected by the high-definition camera group 200 and the light sensor 310 is transmitted to the AI ​​edge controller 400 via a line. The high-definition camera group 200 collects image data from the assembly line in real time and sends the image data to the AI ​​edge controller 400. The intelligent analysis module 500 within the AI ​​edge controller 400 preprocesses the received image data, including image denoising and enhancement, to improve the accuracy of subsequent analysis. The intelligent analysis module 500 uses the image processing unit to extract features from the image and identify features on the assembly line. The key components and assembly status information are extracted by the feature extraction unit, which further filters out key feature parameters from the extracted features. These parameters can reflect the operating status of the assembly line and product quality. The decision judgment unit compares the key feature parameters with preset standard values ​​to determine whether there are any abnormalities in the assembly line. When an abnormality occurs, the AI ​​edge controller 400 can send linkage commands to the multi-axis robotic arm 100, alarm indicator 600, and LED fill light 320. The alarm indicator 600 will automatically light up and issue an audible and visual alarm to prompt the staff to intervene. In the abnormal area, the multi-axis robotic arm 100 can automatically adjust the camera angle for a second inspection, and the LED fill light 320 can also enhance the lighting as needed.

[0035] When in use, the multi-axis robotic arm 100 first adjusts the position and angle of the high-definition camera group 200 according to the preset program or the instructions of the AI ​​edge controller 400 to cover the entire assembly line. The main camera 220 in the high-definition camera group 200 is responsible for global monitoring. Its fixed-focus lens can clearly capture the overall operation status of the assembly line, including the flow of workpieces and the operation of workers. The auxiliary camera 230 uses a zoom lens to capture details of key assembly parts, ensuring that every minute assembly action can be accurately recorded.

[0036] The light sensor 310 monitors changes in ambient light around the assembly line in real time. When the light is insufficient, it automatically adjusts the intensity of the LED fill light 320 to ensure that the image quality captured by the high-definition camera group 200 is not affected, thus improving the stability and accuracy of image acquisition.

[0037] As the core of the entire intelligent monitoring device, the AI ​​edge controller 400 has an intelligent analysis module 500 that processes the image data collected by the high-definition camera group 200 in real time. The image processing unit first performs preprocessing operations such as noise reduction and enhancement on the image to improve the image quality. The feature extraction unit extracts key feature parameters from the preprocessed image, such as the position, size and color of the workpiece. The feature parameters are sent to the decision judgment unit to be compared with the preset standard values ​​to determine whether there are any abnormalities on the assembly line.

[0038] Once an anomaly is detected, such as workpiece misalignment or assembly defects, the AI ​​edge controller 400 will immediately send a linkage command to the multi-axis robotic arm 100, alarm indicator 600, and LED fill light 320. The multi-axis robotic arm 100 will adjust the angle of the high-definition camera group 200 to conduct a secondary inspection of the abnormal area to confirm the authenticity of the anomaly. At the same time, the alarm indicator 600 will light up and issue an audible and visual alarm, prompting the staff to intervene immediately. Through the coordinated operation of multiple components, not only is precise monitoring of the assembly line from all angles achieved, but the identification and response speed of anomalies is also greatly improved, effectively increasing the production efficiency of the mechanical assembly line.

[0039] All standard parts used in this application can be purchased from the market, and can be customized according to the description and drawings. The specific connection methods of each part adopt conventional methods such as bolts, rivets, and welding that are mature in the prior art. The machinery, parts and equipment adopt conventional models in the prior art. The control method is automatic control through a controller. The control circuit of the controller can be implemented by simple programming by those skilled in the art and is common knowledge in the field. Since this application is mainly used to protect mechanical devices, the control method and circuit connection will not be explained in detail in this application.

[0040] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Those skilled in the art to which this invention pertains can make various modifications and refinements without departing from the spirit and scope of the present invention. Therefore, the scope of protection of this invention shall be determined by the claims.

Claims

1. An intelligent monitoring device for a mechanical assembly production line, characterized in that: The system includes a multi-axis robotic arm (100), a high-definition camera group (200), a supplementary lighting component (300), an AI edge controller (400), an intelligent analysis module (500), an alarm indicator light (600), and a base (700). The multi-axis robotic arm (100) is mounted on the top of the base (700), which is fixed to the assembly line. The high-definition camera group (200) and the supplementary lighting component (300) are both mounted at the end of the multi-axis robotic arm (100). The intelligent analysis module (500) is deployed inside the AI ​​edge controller (400), and the alarm indicator light (600) is located on the top of the base (700). The high-definition camera group (200) includes a bracket (210) fixed to the end of the multi-axis robotic arm (100), a main camera (220) fixed to the surface of the bracket (210), and an auxiliary camera (230), and the auxiliary camera (230) is provided in two sets, respectively located on both sides of the main camera (220).

2. The intelligent monitoring device for mechanical assembly production lines as described in claim 1, characterized in that: The multi-axis robotic arm (100) is fixed to the top of the base (700) by bolts. The multi-axis robotic arm (100) adopts three-axis servo adjustment, including horizontal rotation, pitch adjustment and telescopic adjustment.

3. The intelligent monitoring device for mechanical assembly production lines as described in claim 1, characterized in that: The main camera (220) is equipped with a fixed-focus lens for global monitoring, and the auxiliary camera (230) is equipped with a zoom lens for detail capture.

4. The intelligent monitoring device for mechanical assembly production lines as described in claim 1, characterized in that: The supplementary lighting assembly (300) includes a light sensor (310) mounted on the end of the multi-axis robotic arm (100) for environmental detection, and an LED supplementary light (320) fixed to the surface of the bracket (210) for providing illumination.

5. The intelligent monitoring device for mechanical assembly production lines as described in claim 1, characterized in that: The AI ​​edge controller (400) is located on one side of the base (700), and the intelligent analysis module (500) is based on edge computing and includes an image processing unit, a feature extraction unit, and a decision-making unit.

6. The intelligent monitoring device for mechanical assembly production lines as described in claim 1, characterized in that: The alarm indicator light (600) is fixed to the top of the base (700), which is fixed to the assembly line by bolts.

7. The intelligent monitoring device for mechanical assembly production lines as described in claim 1, characterized in that: The outputs of the high-definition camera group (200) and the light sensor (310) are both connected to the input of the AI ​​edge controller (400), and the output of the AI ​​edge controller (400) is connected to the input of the multi-axis robotic arm (100), the alarm indicator (600), and the LED fill light (320).

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