A belt discharge port blockage detection method and system based on visual recognition

Abstract

A kind of detection method and system of belt discharge port material blocking based on visual identification, current frame video image is obtained by real-time acquisition of belt conveyor discharge trolley discharge video, image processing is carried out;By installing suitable light source system, the target detection of accumulated material is converted into the detection of light;After image processing to current frame image, when the laser accompanied by material surface rising is detected in target detection area due to the high material surface caused by material accumulation, return the detection result of material blocking, and detect the laser scattered by smoke dust in target detection area, filter out the detection interference caused by dust raising, and notify the operator in time by alarm mode.The present application realizes the automation and unmanned function of real-time dynamic detection of belt conveyor discharge trolley state, can improve detection efficiency and save manpower.

Description

Technical Field

[0001] This invention relates to the field of raw material yard transportation, and in particular to a method and system for detecting material blockage at the conveyor belt unloading port based on visual recognition. Background Technology

[0002] In the mineral and pulverized coal processing industry, belt conveyors are crucial transportation equipment, responsible for conveying materials in raw material yards. In steel production, to meet raw material supply requirements and improve the metallurgical properties of sintered ore, numerous operations are needed, including unloading, storing, conveying, batching, and mixing mineral raw materials. Therefore, a large number of unloading trolleys and belt conveyors are required to transport these materials. To meet the needs of multi-point and multi-location material distribution, material yards often use belt conveyor unloading trolleys, whose structure mainly consists of a frame, roller assemblies, idler roller assemblies, drive units, wheel assemblies, and hoppers. Simultaneously, to meet production demands, numerous belts are distributed throughout the material yard area. Belt conveyors offer advantages such as low noise, large conveying capacity, simple structure, convenient maintenance, and standardized components. The direct connection between belts is primarily achieved through belt hoppers. However, during the passage of powder through the hoppers, excessive flow or humidity can easily cause material to accumulate on the hopper walls, leading to hopper blockage and significantly impacting production.

[0003] Traditional contact sensors are prone to damage and have high maintenance costs due to harsh operating environments, while traditional non-contact detectors, such as ultrasonic detectors, also have extremely high environmental requirements. Furthermore, relying on operators to monitor the scene in real-time for extended periods is inefficient due to the numerous and complex images transmitted from various conveyor belts, and fatigue from prolonged monitoring can lead to missed detections. Therefore, this invention provides a method for detecting material blockage at the unloading port of a conveyor belt in a material yard, incorporating an auxiliary light source. This method monitors the material surface in the unloading hopper of the conveyor belt in real-time, uses image analysis to determine if blockage is present, and issues an alarm promptly, minimizing the serious economic losses caused by blockages. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed to provide a method and system for detecting material blockage at a belt unloading port based on visual recognition, which overcomes or at least partially solves the above problems.

[0005] To address the aforementioned technical problems, the embodiments of this application disclose the following technical solutions:

[0006] A vision-based method for detecting material blockage at a conveyor belt unloading port includes:

[0007] S100. Equipped with a light source system, it provides a stable detection environment for detecting material blockage at the conveyor belt discharge port;

[0008] S200. Real-time acquisition of the current frame image of the unloading video stream of the belt conveyor unloading trolley, and sending the acquired current frame image of the belt unloading video stream to the image processing module;

[0009] S300. The image processing module processes the current frame image according to a preset image processing algorithm, obtains the image judgment result, and determines whether the current belt unloading port is blocked.

[0010] S400. When the image processing module determines that the current belt unloading port is blocked, it outputs an alarm message to the user.

[0011] Furthermore, in S100, a light source system is used. Specifically, the light source system is installed at a preset angle, and the change in material height is converted into a change in the height of the auxiliary light source laser by directly shining the laser on the unloading port of the belt conveyor. At the same time, in order to ensure stable lighting conditions in the working environment, it is also necessary to eliminate the overexposure caused by excessive sunlight on site.

[0012] Furthermore, in S300, the image processing module processes the current frame image according to a preset image processing algorithm, including: segmenting the current frame image by color, saturation, and brightness; selecting a region of interest (ROI) based on the target detection area; detecting the color, saturation, and brightness of the corresponding laser color within the ROI; and returning the blockage detection result when the number of pixels within the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold.

[0013] Furthermore, in S300, the image processing module processes the current frame image according to a preset image processing algorithm, which also includes: setting up a target detection area and selecting a region of interest (ROI). Within this ROI, the color, saturation, and brightness of the corresponding laser color are detected. This area is responsible for detecting laser scattering caused by smoke and dust in the scene. When the number of pixels in the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold, the dust emission result is returned to avoid interference with the material blockage detection.

[0014] This invention also discloses a vision-based detection system for material blockage at a conveyor belt unloading port, comprising: a conveyor belt blockage image acquisition module, a light source module, an image processing module, and an alarm module; wherein:

[0015] The belt conveyor blockage image acquisition module is used to acquire video images of material blockage at the unloading port of the belt conveyor in real time and obtain the current frame. The current frame image in the acquired belt unloading video stream is processed by an image processing algorithm to obtain the judgment result. It is also used to acquire belt unloading port blockage images and form a historical dataset of belt unloading port blockage images for comparison of detection effects.

[0016] The light source module is installed at a preset angle and converts the change in material height into a change in the height of the auxiliary light source laser by directly shining the laser on the unloading port of the belt conveyor. At the same time, in order to ensure stable lighting conditions in the working environment, it is also necessary to eliminate the overexposure caused by excessive sunlight on site.

[0017] The image processing module is used to perform algorithmic processing on the current frame image in the real-time acquired belt running video, and to detect the laser in the current frame image in real time. When the laser is detected in the target detection area of ​​the image, the blockage judgment result is output; when the laser is not detected in the target detection area of ​​the image, the normal unloading judgment result is output.

[0018] The alarm module is used to obtain the processing results of the current frame image by the image processing module. If the detection result of the frame image after algorithm processing is that the conveyor belt unloading port is blocked, the alarm device will notify the relevant person in charge in real time and provide a continuous alarm for a period of time to ensure that the relevant personnel can deal with it in a timely manner.

[0019] Furthermore, the belt conveyor blockage image acquisition device is a camera. The camera is installed directly above the unloading hopper of the belt conveyor to avoid interference with the detection scene when operators are working and clearing the hopper. The camera collects images of the blockage in the unloading hopper of the belt conveyor to form a historical database, which is used to check and verify the accuracy of the image processing algorithm.

[0020] Furthermore, the light source system adopts a line laser. The line laser is installed by placing the line laser emitter directly above the unloading hopper of the belt conveyor. The line laser is parallel to the belt feeding direction and shines directly into the unloading port, accompanied by changes in the material level.

[0021] Furthermore, the image processing module performs algorithmic processing on the current frame image in the real-time acquired belt operation video. Specifically, this includes: segmenting the current frame image by color, saturation, and brightness; selecting a region of interest (ROI) based on the target detection area; detecting the color, saturation, and brightness of the corresponding laser color within the ROI; and returning the blockage detection result when the number of pixels within the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold.

[0022] Furthermore, the image processing module performs algorithmic processing on the current frame image in the real-time acquired conveyor belt operation video. Specifically, it also includes: setting up a target detection region and selecting a region of interest (ROI). Within this ROI, the color, saturation, and brightness of the corresponding laser color are detected. This region is responsible for detecting laser scattering caused by dust in the scene. When the number of pixels within the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold, the dust emission result is returned to avoid interfering with the material blockage detection.

[0023] Furthermore, the alarm device is a buzzer. When the detection result obtained by the image processing algorithm indicates material blockage and no dust is generated, the buzzer will sound an alarm in real time to notify the relevant person in charge to confirm the degree of material blockage and handle it in a timely manner.

[0024] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0025] This invention discloses a vision-based method and system for detecting material blockage at the unloading port of a belt conveyor. It acquires real-time video of the unloading trolley of a belt conveyor and processes the current frame image. By adding a suitable light source system, the detection of the accumulated material is transformed into the detection of light. After image processing, if the material level rises due to accumulation and laser light accompanying the rise is detected within the target detection area, the blockage detection result is returned. Simultaneously, the system detects laser light scattered by dust within the target detection area, filtering out detection interference caused by dust, and notifies operators to handle the situation promptly via an alarm. This invention achieves automated and unmanned real-time dynamic detection of the unloading trolley status of a belt conveyor, improving detection efficiency and saving manpower.

[0026] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0027] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0028] Figure 1 This is a flowchart of a method for detecting material blockage at a conveyor belt unloading port based on visual recognition, as described in Embodiment 1 of the present invention.

[0029] Figure 2 This is a structural diagram of a visual recognition-based method for detecting material blockage at a conveyor belt unloading port, as described in Embodiment 2 of the present invention. Detailed Implementation

[0030] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0031] To address the problems existing in the prior art, embodiments of the present invention provide a method and system for detecting material blockage at a belt unloading port based on visual recognition.

[0032] Example 1

[0033] This embodiment discloses a visual recognition-based method for detecting material blockage at a conveyor belt unloading port, such as... Figure 1 ,include:

[0034] S100. Equipped with a light source system, it provides a stable detection environment for detecting material blockage at the conveyor belt discharge port;

[0035] S200. Real-time acquisition of the current frame image of the unloading video stream of the belt conveyor unloading trolley, and sending the acquired current frame image of the belt unloading video stream to the image processing module;

[0036] S300. The image processing module processes the current frame image according to a preset image processing algorithm, obtains the image judgment result, and determines whether the current belt unloading port is blocked.

[0037] S400. When the image processing module determines that the current belt unloading port is blocked, it outputs an alarm message to the user.

[0038] In S100 of this embodiment, a light source system is used. Specifically, the light source system is installed at a preset angle, and the change in material height is converted into a change in the height of the auxiliary light source laser by directly shining the laser on the unloading port of the belt conveyor. At the same time, in order to ensure the stability of the lighting conditions in the working environment, it is also necessary to eliminate the overexposure caused by excessive sunlight on site.

[0039] In S300 of this embodiment, the image processing module processes the current frame image according to a preset image processing algorithm, including: segmenting the current frame image by color, saturation and brightness; selecting a region of interest (ROI) based on the target detection area; detecting the color, saturation and brightness of the corresponding laser color within the ROI; and returning the blockage detection result when the number of pixels in the ROI that meet the color, saturation and brightness values ​​reaches a set threshold.

[0040] In some preferred embodiments, the image processing module processes the current frame image according to a preset image processing algorithm, and further includes: setting a target detection region and selecting a region of interest (ROI), and detecting the color, saturation and brightness of the corresponding laser color within the ROI. This region is responsible for detecting laser scattering caused by smoke and dust in the scene. When the number of pixels in the ROI that meet the color, saturation and brightness values ​​reaches a set threshold, the dust emission result is returned to avoid interference with the material blockage detection.

[0041] This embodiment discloses a vision-based method for detecting material blockage at a belt conveyor unloading port. It involves real-time acquisition of unloading video from the belt conveyor's unloading trolley, processing the current frame image, and converting the target detection of accumulated material into light detection by adding a suitable light source system. After image processing, if the material level rises due to accumulation and laser light accompanying the material level rise is detected within the target detection area, the blockage detection result is returned. Simultaneously, the method detects laser light scattered by dust within the target detection area, filtering out detection interference caused by dust, and notifying operators of timely handling via an alarm. This invention achieves automated and unmanned real-time dynamic detection of the belt conveyor's unloading trolley status, improving detection efficiency and saving manpower.

[0042] Example 2

[0043] This embodiment discloses a vision recognition-based detection system for material blockage at a conveyor belt unloading port, such as... Figure 2 It includes: a belt blockage image acquisition module, a light source module, an image processing module, and an alarm module; among which:

[0044] The belt conveyor blockage image acquisition module is used to acquire video images of material blockage at the unloading port of the belt conveyor in real time and obtain the current frame. The current frame image in the acquired belt unloading video stream is processed by an image processing algorithm to obtain the judgment result. It is also used to acquire belt unloading port blockage images and form a historical dataset of belt unloading port blockage images for comparison of detection effects.

[0045] The light source module is installed at a preset angle and converts the change in material height into a change in the height of the auxiliary light source laser by directly shining the laser on the unloading port of the belt conveyor. At the same time, in order to ensure stable lighting conditions in the working environment, it is also necessary to eliminate the overexposure caused by excessive sunlight on site.

[0046] The image processing module is used to perform algorithmic processing on the current frame image in the real-time acquired belt running video, and to detect the laser in the current frame image in real time. When the laser is detected in the target detection area of ​​the image, the blockage judgment result is output; when the laser is not detected in the target detection area of ​​the image, the normal unloading judgment result is output.

[0047] The alarm module is used to obtain the processing results of the current frame image by the image processing module. If the detection result of the frame image after algorithm processing is that the conveyor belt unloading port is blocked, the alarm device will notify the relevant person in charge in real time and provide a continuous alarm for a period of time to ensure that the relevant personnel can deal with it in a timely manner.

[0048] In some preferred embodiments, the belt conveyor blockage image acquisition device is a camera. The camera is installed directly above the unloading hopper of the belt conveyor to avoid interference with the detection scene when the operator is working and clearing the hopper. The camera collects images of the blockage in the unloading hopper of the belt conveyor to form a historical database, which is used to check and verify the accuracy of the image processing algorithm.

[0049] In some preferred embodiments, the light source system uses a line laser. The line laser is installed by placing the line laser emitter directly above the unloading hopper of the belt conveyor. The line laser is parallel to the belt feeding direction and shines directly into the unloading port, accompanied by changes in the material level.

[0050] In some preferred embodiments, the image processing module performs algorithmic processing on the current frame image in the real-time acquired belt running video, specifically including: segmenting the current frame image by color, saturation, and brightness; selecting a region of interest (ROI) based on the target detection area; detecting the color, saturation, and brightness of the corresponding laser color within the ROI; and returning the blockage detection result when the number of pixels within the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold.

[0051] In some preferred embodiments, the image processing module performs algorithmic processing on the current frame image in the real-time acquired belt operation video. Specifically, it further includes: setting up a target detection region and selecting a region of interest (ROI). Within the ROI, the color, saturation, and brightness of the corresponding laser color are detected. This region is responsible for detecting laser scattering caused by dust in the scene. When the number of pixels within the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold, the dust emission result is returned to avoid interference with the material blockage detection.

[0052] In some preferred embodiments, the alarm device is a buzzer. When the detection result obtained by the image processing algorithm is that the material is blocked and there is no dust, the buzzer will sound an alarm in real time to notify the relevant person in charge to confirm the degree of blockage and deal with it in a timely manner.

[0053] This embodiment discloses a vision-based detection system for material blockage at a belt conveyor unloading port. It acquires real-time video of the unloading trolley of the belt conveyor and processes the current frame image. By adding a suitable light source system, the detection of accumulated material is transformed into the detection of light. After image processing, if the material level rises due to accumulation and laser light accompanying the rise is detected within the target detection area, the blockage detection result is returned. Simultaneously, the system detects laser light scattered by dust within the target detection area, filtering out interference caused by dust. An alarm is then triggered to notify the operator for timely handling. This invention achieves automated and unmanned real-time dynamic detection of the belt conveyor unloading trolley status, improving detection efficiency and saving manpower.

[0054] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0055] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

[0056] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0057] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0058] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in a memory module and executed by a processor. The memory module can be implemented within the processor or outside the processor; in the latter case, it is communicatively coupled to the processor via various means, as is well known in the art.

[0059] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

Claims

1. A method for detecting material blockage at a conveyor belt unloading port based on visual recognition, characterized in that, include: S100. Equipped with a light source system, it provides a stable detection environment for detecting material blockage at the conveyor belt discharge port; S200. Real-time acquisition of the current frame image of the unloading video stream of the belt conveyor unloading trolley, and sending the acquired current frame image of the belt unloading video stream to the image processing module; S300. The image processing module processes the current frame image according to a preset image processing algorithm, obtains the image judgment result, and determines whether the current conveyor unloading port is blocked. In S300, the image processing module processes the current frame image according to a preset image processing algorithm, and also includes: setting up a target detection area and selecting a region of interest (ROI). Within the ROI, the color, saturation, and brightness of the corresponding laser color are detected. This area is responsible for detecting laser scattering caused by dust in the scene. When the number of pixels in the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold, the dust emission result is returned to avoid interference with the blockage detection. S400. When the image processing module determines that the current belt unloading port is blocked, it outputs an alarm message to the user.

2. The method for detecting material blockage at a conveyor belt unloading port based on visual recognition as described in claim 1, characterized in that, In the S100, a light source system is used. The specific method is as follows: the light source system is installed at a preset angle, and the change in material height is converted into a change in the height of the auxiliary light source laser by directly shining the laser on the unloading port of the belt conveyor. At the same time, in order to ensure the stability of the lighting conditions in the working environment, it is also necessary to eliminate the overexposure caused by excessive sunlight on site.

3. The method for detecting material blockage at a conveyor belt unloading port based on visual recognition as described in claim 1, characterized in that, In S300, the image processing module processes the current frame image according to a preset image processing algorithm, including: segmenting the current frame image according to color, saturation and brightness; selecting a region of interest (ROI) based on the target detection area; detecting the color, saturation and brightness of the corresponding laser color within the ROI; and returning the blockage detection result when the number of pixels in the ROI that meet the color, saturation and brightness values ​​reaches a set threshold.

4. The method for detecting material blockage at a conveyor belt unloading port based on visual recognition as described in claim 1, characterized in that, In S300, the image processing module processes the current frame image according to a preset image processing algorithm. It also includes: setting up a target detection area and selecting a region of interest (ROI). Within the ROI, the color, saturation, and brightness of the corresponding laser color are detected. This area is responsible for detecting laser scattering caused by dust in the scene. When the number of pixels in the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold, the dust emission result is returned to avoid interference with the material blockage detection.

5. A vision recognition-based detection system for material blockage at a conveyor belt unloading port, characterized in that, include: The system includes a conveyor belt blockage image acquisition module, a light source module, an image processing module, and an alarm module; among which: The belt conveyor blockage image acquisition module is used to acquire video images of material blockage at the unloading port of the belt conveyor in real time and obtain the current frame. The current frame image in the acquired belt unloading video stream is processed by an image processing algorithm to obtain the judgment result. It is also used to acquire belt unloading port blockage images and form a historical dataset of belt unloading port blockage images for comparison of detection effects. The light source module is installed at a preset angle and converts the change in material height into a change in the height of the auxiliary light source laser by directly shining the laser on the unloading port of the belt conveyor. At the same time, in order to ensure stable lighting conditions in the working environment, it is also necessary to eliminate the overexposure caused by excessive sunlight on site. The image processing module is used to perform algorithmic processing on the current frame image of the real-time acquired belt conveyor video, and to detect lasers in the current frame image in real time. When laser is detected in the target detection area of ​​the image, a blockage judgment result is output; when no laser is detected in the target detection area of ​​the image, a normal unloading judgment result is output. The image processing module performs algorithmic processing on the current frame image of the real-time acquired belt conveyor video, and specifically includes: setting a target detection area and selecting a region of interest (ROI). Within the ROI, the color, saturation, and brightness of the corresponding laser color are detected. This area is responsible for detecting laser scattering caused by dust in the scene. When the number of pixels in the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold, a dust emission result is returned to avoid interference with the blockage detection. The alarm module is used to obtain the processing results of the current frame image by the image processing module. If the detection result of the frame image after algorithm processing is that the conveyor belt unloading port is blocked, the alarm device will notify the relevant person in charge in real time and provide a continuous alarm for a period of time to ensure that the relevant personnel can deal with it in a timely manner.

6. The detection system for material blockage at a conveyor belt unloading port based on visual recognition as described in claim 5, characterized in that, The device for acquiring images of material blockage in the belt conveyor is a camera. The camera is installed directly above the unloading hopper of the belt conveyor to avoid interference with the detection scene when operators are working and clearing the hopper. The camera collects images of material blockage in the unloading hopper of the belt conveyor to form a historical database, which is used to check and verify the accuracy of the image processing algorithm.

7. The detection system for material blockage at a conveyor belt unloading port based on visual recognition as described in claim 5, characterized in that, The light source system uses a line laser. The line laser is installed by placing the line laser emitter directly above the unloading hopper of the belt conveyor. The line laser is parallel to the belt feeding direction and shines directly into the unloading port, accompanying the change in the material level.

8. The detection system for material blockage at a conveyor belt unloading port based on visual recognition as described in claim 5, characterized in that, The image processing module performs algorithmic processing on the current frame image in the real-time acquired belt running video. Specifically, it segments the current frame image according to color, saturation, and brightness; selects a region of interest (ROI) based on the target detection area; detects the color, saturation, and brightness of the corresponding laser color within the ROI; and returns the blockage detection result when the number of pixels within the ROI that meet the color, saturation, and brightness values ​​reaches a set threshold.

9. The detection system for material blockage at a conveyor belt unloading port based on visual recognition as described in claim 5, characterized in that, The alarm device is a buzzer. When the detection result obtained by the image processing algorithm is that the material is blocked and there is no dust, the buzzer will sound an alarm in real time to notify the relevant person in charge to confirm the degree of blockage and deal with it in a timely manner.

Images