Intelligent detection and alarm system and detection method for missing labeling of steel plate labels

By employing an intelligent detection system that combines image acquisition, transmission, processing, and alarm components with an AI model in steel plate production, the problem of missing labels has been solved, achieving automated and accurate detection and alarm, thus improving production efficiency and quality.

CN120997748APending Publication Date: 2025-11-21BAOSHAN IRON & STEEL CO LTD
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Patent Information

Application Number
CN202410624316.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-05-20
Publication Date
2025-11-21

AI Technical Summary

Technical Problem

In steel plate production, label omissions and detachments occur frequently, leading to low production efficiency. Existing technologies are insufficient for effective detection and automated processing.

Method used

By employing image acquisition components, image transmission components, image processing components, audio alarm components, and auxiliary lighting components, combined with an AI camera and an object detection AI model, intelligent detection and alarm functions for steel plate labels are achieved.

Benefits of technology

It achieves efficient and accurate label missing detection, reduces human error, improves production efficiency and product quality, and the system can automatically trigger alarms to avoid false alarms in abnormal scenarios.

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Abstract

The invention provides an intelligent detection and alarm system for missing sticking of steel plate labels, which comprises an image acquisition assembly, an image transmission assembly, an image processing assembly, an audio alarm assembly and an auxiliary lighting assembly, adopts an AI camera as an image video camera, and combines an object detection AI model to detect the missing sticking of the labels. The system can efficiently and accurately identify the existence condition of the steel plate and the label thereof, can quickly judge whether the label is missed to be pasted or falls off by analyzing the image data, can improve the detection efficiency, reduces misjudgment caused by human factors, can record the steel plate in the labeling machine in real time, and transmits and analyzes the image data in real time. Once label missing or falling is detected, the system can automatically trigger an alarm mechanism, automatic detection can be achieved, in the abnormal scene that a steel plate is blocked by a mechanical arm or personnel and no steel plate exists, the system can intelligently judge and avoid false alarm, and the quality problem caused by steel plate label missing or falling can be effectively solved; the production efficiency and the product quality are improved.
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Description

TECHNICAL FIELD

[0001] The steel plate production equipment particularly relates to a steel plate label missing intelligent detection alarm system and a detection method. BACKGROUND

[0002] With the improvement of production intelligence, steel enterprises begin to generally use robots in the production field. Among them, the use of automatic labeling robots is particularly widespread in the labeling process of steel plates, steel coils and sampling plates. However, due to reasons such as label adhesion, unstable clamping of the robot hand, insufficient viscosity of the adhesive backing, label missing and label falling occur frequently, which requires manual inspection and re-sticking, greatly affecting production efficiency.

[0003] Patent document CN206020282U discloses a label missing detection and removal device, which can be used to detect label missing. The device detects label missing in the high-speed labeling process of a circular bottle through a fiber optic sensor and a color sensor. The fiber optic sensor is used to detect whether the bottle opening is in place, and the color sensor is used to detect the label position. When the signal strength of the two meets the requirements, it indicates that the bottle is properly labeled, otherwise an alarm signal is sent and the bottle is removed. Patent document CN106864903A discloses an automatic labeling machine with a label missing alarm device, which can be used to detect label missing. The device detects whether the label is present through a photoelectric sensor or an infrared reflection sensor, and the detection result is sent to the alarm device and the controller. Once no label is detected, an alarm is sent and the labeling machine stops working. SUMMARY

[0004] The purpose of the present application is to provide a steel plate label missing intelligent detection alarm system and a detection method.

[0005] The technical solution adopted by the present application to solve the technical problem is:

[0006] A steel plate label missing intelligent detection alarm system, comprising:

[0007] An image acquisition component corresponding to the position of the labeling machine, which can acquire image data of the steel plate and its label in the labeling machine;

[0008] An image transmission component in communication with the image acquisition component through a signal line. The image acquisition component provides the acquired image data to the image transmission component, and the image transmission component transmits the image data.

[0009] An image processing component in communication with the image transmission component through a signal line. The image transmission component transmits the image data to the image processing component, and the image processing component processes the image data.

[0010] An audio alarm component, which is in signal communication with the image processing component and controlled by the image processing component to send an audio alarm signal.

[0011] An auxiliary lighting component, which corresponds to the position of the labeling machine and the image acquisition component, and provides auxiliary lighting for the steel plate and its label in the process of image acquisition by the image acquisition component.

[0012] Specifically, the image acquisition component includes:

[0013] An image camera, which corresponds to the position of the labeling machine and is directed to the steel plate bearing part in the labeling machine, and acquires image data of the steel plate and its label.

[0014] In an embodiment of the present application, the image camera is an AI camera.

[0015] The image transmission component includes:

[0016] A transmission switch, which is in communication with the image camera through a network cable, and receives image data of the steel plate and its label from the image camera and transmits the image data.

[0017] The image processing component includes:

[0018] An image processor, which is in communication with the transmission switch through a network cable, receives image data from the transmission switch, and identifies and processes the image data.

[0019] In an embodiment of the present application, the image processor is an embedded image processing system.

[0020] The audio alarm component includes:

[0021] An alarm buzzer, which is in communication with the image processor through an audio cable, and sends an audio alarm signal controlled by the image processor.

[0022] The auxiliary lighting component includes:

[0023] An illumination fill-in light, which corresponds to the position of the image camera and the labeling machine, and is directed to the steel plate bearing part in the labeling machine, and provides auxiliary lighting for the steel plate and its label, so that the image camera can acquire clear and effective image data.

[0024] A steel plate label missing intelligent detection method, which uses the above intelligent detection alarm system, and includes the following steps:

[0025] S1, the image camera captures the steel plate bearing part of the labeling machine, acquires image data of the steel plate and its label, and transmits the image data to the image processor through the transmission switch;

[0026] S2, the image processor uses an object detection AI model to analyze image data. First, it identifies whether there is a steel plate in the inspected area. After detecting that there is a steel plate, it identifies whether there is a label on the steel plate and classifies it according to the identification results into two categories: with label and missing / fallen label.

[0027] S3, within a predetermined time period, if the image processor fails to detect or recognize a QR code label within the detection area, it controls the alarm buzzer to emit an audio alarm signal.

[0028] In step S3, when the image processor detects abnormal scenarios such as the steel plate being blocked by a robotic arm / person or other objects, or the absence of a steel plate, it sets the target to "no target" and the alarm buzzer does not activate.

[0029] The advantages of this invention are:

[0030] This system uses an AI camera as an image recorder, combined with an object detection AI model, to efficiently and accurately identify the presence of steel plates and their labels. Through analysis of image data, the system can quickly determine whether labels are missing or detached, improving detection efficiency and reducing misjudgments caused by human factors. The system can record the steel plates in the labeling machine in real time and transmit and analyze the image data instantly. Once a missing or detached label is detected, the system can automatically trigger an alarm mechanism without manual intervention, achieving automated detection. In abnormal scenarios such as the steel plate being obstructed by the robotic arm or personnel, or the absence of a steel plate, the system can intelligently judge and avoid false alarms, effectively solving quality problems caused by missing or detached steel plate labels, and improving production efficiency and product quality. Attached Figure Description

[0031] Figure 1 This is one of the structural schematic diagrams of the intelligent detection and alarm system for missing steel plate labels proposed in this invention;

[0032] Figure 2 This is the second structural schematic diagram of the intelligent detection and alarm system. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0034] like Figure 1 , Figure 2 As shown, the intelligent detection and alarm system for missing steel plate labels proposed in this invention includes an image acquisition component, an image transmission component, an image processing component, an audio alarm component, and an auxiliary lighting component. The image acquisition component corresponds to the labeling machine and can acquire image data of the steel plate and its labels in the labeling machine. The image transmission component is connected to the image acquisition component through a signal line, providing the acquired image data to the image transmission component, which then transmits the image data. The image processing component is connected to the image transmission component through a signal line, transmitting the image data to the image processing component for processing. The audio alarm component is connected to the image processing component through a signal line, controlling the audio alarm component to emit an audio alarm signal. The auxiliary lighting component corresponds to the labeling machine and the image acquisition component, providing auxiliary lighting during the image acquisition process of the steel plate and its labels in the labeling machine.

[0035] In this embodiment, the image acquisition component includes an image camera 100, which is positioned corresponding to the labeling machine and points to the steel plate support part in the labeling machine. The image camera acquires image data of the steel plate A and its label.

[0036] In this embodiment, an AI camera is used as the image camera.

[0037] The image transmission component includes a transmission switch 200, which is connected to the image camera via a network cable. The image camera provides image data of the steel plate and its label to the transmission switch, and the transmission switch transmits the image data.

[0038] The image processing component includes an image processor 300, which is connected to a transmission switch via a network cable. The transmission switch transmits image data to the image processor, which then recognizes and processes the data.

[0039] In this embodiment, the image processor is an embedded image processing system.

[0040] The audio alarm component includes an alarm buzzer 400, which is connected to the image processor via an audio cable. The image processor controls the alarm buzzer to emit an audio alarm signal.

[0041] The auxiliary lighting component includes a supplementary lighting lamp 500, which corresponds to the position of the image camera and the labeling machine. It is pointed at the steel plate support part in the labeling machine, and the supplementary lighting lamp provides auxiliary lighting for the steel plate and its label, so that the image camera can obtain clear and effective image data.

[0042] The intelligent detection method for missing steel plate labels proposed in this invention uses the aforementioned intelligent detection alarm system and includes the following steps:

[0043] S1, the image camera captures the steel plate bearing part of the labeling machine, acquires image data of the steel plate and its label, and transmits the image data to the image processor through the transmission switch;

[0044] S2, the image processor uses an object detection AI model to analyze image data. First, it identifies whether there is a steel plate in the inspected area. After detecting that there is a steel plate, it identifies whether there is a label on the steel plate and classifies it according to the identification results into two categories: with label and missing / fallen label.

[0045] S3, within a predetermined time period, if the image processor fails to detect and recognize a QR code label within the detection area, it controls the alarm buzzer to emit an audio alarm signal;

[0046] When the image processor detects abnormal scenarios such as the steel plate being blocked by an object such as a robotic arm or a person, or the absence of a steel plate, it is set to "no target" and the alarm buzzer will not be activated.

[0047] In the description of this invention, it should be noted that when terms such as "upper," "lower," "inner," "outer," "left," and "right" appear to indicate orientation or positional relationships, they should be understood as being based on the orientation or positional relationships shown in the accompanying drawings, or the orientation or positional relationships commonly used when the product of this invention is in use, or the orientation or positional relationships commonly understood by those skilled in the art. These terms are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or component 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 the invention. Furthermore, when terms such as "first" and "second" appear, they are only used to distinguish descriptions and should not be construed as indicating or implying relative importance. In the description of this invention, it should also be noted that unless otherwise explicitly specified and limited, terms such as "installation," "setting," and "connection" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

Claims

1. A smart detection and alarm system for missing steel plate labels, characterized in that, include: An image acquisition component, which corresponds to the labeling machine, can acquire image data of the steel plate and its label in the labeling machine; An image transmission component is connected to an image acquisition component via a signal line. The image acquisition component provides the acquired image data to the image transmission component, and the image transmission component transmits the image data. An image processing component is connected to an image transmission component via a signal line. The image transmission component transmits image data to the image processing component, which then processes the image data. An audio alarm component is connected to an image processing component via a signal line, and the image processing component controls the audio alarm component to emit an audio alarm signal.

2. The intelligent detection and alarm system for missing steel plate labels according to claim 1, characterized in that, Also includes: An auxiliary lighting component is positioned corresponding to the labeling machine and the image acquisition component. During the process of the image acquisition component acquiring images of the steel plate and its label in the labeling machine, the auxiliary lighting component provides auxiliary lighting.

3. The intelligent detection and alarm system for missing steel plate labels according to claim 1, characterized in that, The image acquisition components include: An image camera is positioned corresponding to the labeling machine and pointed at the steel plate support section of the labeling machine, acquiring image data of the steel plate and its label.

4. The intelligent detection and alarm system for missing steel plate labels according to claim 2, characterized in that, The image transmission component includes: The transmission switch is connected to the image camera via a network cable. The image camera provides image data of the steel plate and its label to the transmission switch, and the transmission switch transmits the image data.

5. The intelligent detection and alarm system for missing steel plate labels according to claim 3, characterized in that, The image processing components include: The image processor is connected to the transmission switch via a network cable. The transmission switch transmits image data to the image processor, which then recognizes and processes it.

6. The intelligent detection and alarm system for missing steel plate labels according to claim 4, characterized in that, The audio alarm component includes: An alarm buzzer is connected to an image processor via an audio cable, and the image processor controls the alarm buzzer to emit an audio alarm signal.

7. The intelligent detection and alarm system for missing steel plate labels according to claim 2, characterized in that, Auxiliary lighting components include: The supplementary lighting lamp corresponds to the position of the image camera and labeling machine. It is pointed at the steel plate support part of the labeling machine. The supplementary lighting lamp provides auxiliary illumination to the steel plate and its label, so that the image camera can obtain clear and effective image data.

8. A method for intelligent detection of missing steel plate labels, comprising using the intelligent detection alarm system according to any one of claims 1 to 6, characterized in that, Includes the following steps: S1, the image camera captures the steel plate bearing part of the labeling machine, acquires image data of the steel plate and its label, and transmits the image data to the image processor through the transmission switch; S2, the image processor uses an object detection AI model to analyze image data. First, it identifies whether there is a steel plate in the inspected area. After detecting that there is a steel plate, it identifies whether there is a label on the steel plate and classifies it according to the identification results into two categories: with label and missing / fallen label. S3, within a predetermined time period, if the image processor fails to detect or recognize a QR code label within the detection area, it controls the alarm buzzer to emit an audio alarm signal.

9. The intelligent detection method for missing steel plate labels according to claim 8, characterized in that: In step S3, when the image processor detects abnormal scenarios such as the steel plate being blocked by a robotic arm / person or other objects, or the absence of a steel plate, it sets the target to "no target" and the alarm buzzer does not activate.

Citation Information

Patent Citations

  • Automatic labeling machine with labeling omission alarm device

    CN106864903A

  • Label leaks and pastes detection and removal device

    CN206020282U