A cloth bag inspection method and a cloth bag inspection system

By utilizing image acquisition and dust detection technologies, the bag inspection system automatically identifies and locates damaged bags, solving the problems of large errors and high labor intensity in manual inspection, and achieving fast and accurate bag inspection while reducing dust emission.

CN116593363BActive Publication Date: 2026-04-14BEIJING METALLURGICAL EQUIP RES DESIGN INST CO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING METALLURGICAL EQUIP RES DESIGN INST CO
Filing Date
2023-05-09
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

In the current technology, the inspection of bag filters mainly relies on manual inspection, which has the disadvantages of large errors, high labor intensity, long cycle, and inability to detect damaged bags in time, resulting in the release of dust particles and affecting the environment and health.

Method used

A bag filter inspection system is adopted, which uses image acquisition equipment and dust concentration detectors to acquire images and dust concentration information of the bag filter area. By combining image recognition and concentration detection, damaged bags can be automatically identified and located.

Benefits of technology

It enables rapid and accurate detection and location of damaged bags, reduces dust emission, saves manpower and time costs, and ensures a safe working environment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure discloses a cloth bag inspection method and a cloth bag inspection system, the method comprising: acquiring cloth bag hole distribution area images of a cloth bag dust remover placement area and dust concentration information of the cloth bag dust remover placement area sent by a first group of sensing components; if the cloth bag hole distribution area images and the dust concentration information both satisfy a first cloth bag damage condition, determining a cloth bag damage area based on the cloth bag hole distribution area images; acquiring each cloth bag hole image and corresponding cloth bag hole concentration information of the cloth bag damage area sent by a second group of sensing components; and if the cloth bag hole image and the corresponding cloth bag hole concentration information satisfy a second cloth bag damage condition, determining that the cloth bag hole corresponds to cloth bag damage. The method provided by the present disclosure is used for industrial cloth bag dust remover placement area inspection, and quickly locates the cloth bag dust remover position corresponding to the damaged cloth bag.
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Description

Technical Field

[0001] This disclosure relates to the field of baghouse dust collection technology, and in particular to a baghouse inspection method and baghouse inspection system. Background Technology

[0002] In industry, baghouse dust collectors often experience bag breakage during use, leading to the release of dust particles and excessive particulate matter emissions, which has a significant impact on the environment and the health of workers.

[0003] Currently, most inspections of baghouse dust collectors are conducted manually. However, manual judgment of dust concentration is prone to errors and is difficult. Furthermore, the inspection process involves a challenging working environment and high labor intensity, and the inspection cycle is long, which makes it difficult to detect damaged bags in a timely manner. In addition, the labor cost of inspection work is also high. Summary of the Invention

[0004] The purpose of this disclosure is to provide a bag inspection method and system for inspecting the area where bag filters are placed in industry and quickly locating the location of the bag filter corresponding to a damaged bag.

[0005] To achieve the above objectives, this disclosure provides a method for detecting fabric bags, comprising:

[0006] Acquire the image of the bag pore distribution area of ​​the bag filter placement area and the dust concentration information of the bag filter placement area sent by the first set of sensing components;

[0007] If both the image of the bag hole distribution area and the dust concentration information meet the first bag damage condition, the bag damage area is determined based on the image of the bag hole distribution area.

[0008] Acquire images of each bag hole located in the damaged area of ​​the bag and corresponding bag hole concentration information sent by the second set of sensing components;

[0009] If the bag hole image and the corresponding bag hole concentration information meet the second bag damage condition, the bag corresponding to the bag hole is determined to be damaged.

[0010] Compared with the prior art, the bag detection method provided in this disclosure acquires image information and dust concentration information of the bag filter placement area through a first set of sensing components. When there is an area in the image information and dust concentration information that meets the first bag damage condition, the bag damage area is determined based on the bag hole distribution area image. Then, the bag hole image and corresponding bag hole concentration information corresponding to each bag hole in the bag damage area are acquired through a second set of sensing components. When there is a bag hole in the bag hole image and dust concentration information that meets the second bag damage condition, the bag damage corresponding to the bag hole is determined. Based on this, the bag detection method provided in this disclosure, when used in a baghouse dust collector, can quickly locate the damaged area of ​​the bag when the image information and dust concentration information of the baghouse dust collector placement area meet the first bag damage condition, and then detect the damaged area. When the bag hole image and corresponding bag hole concentration information corresponding to each bag hole in the damaged area meet the second bag damage condition, the damaged area and bag damage can be detected in a timely manner, and the location of the damaged bag can be accurately identified and located. This not only saves labor and time costs, but also reduces the emission of dust particles, allowing workers to work in a healthy environment.

[0011] This disclosure also provides a bag detection device, comprising:

[0012] The acquisition module is used to acquire the image of the bag hole distribution area of ​​the bag dust collector placement area and the dust concentration information of the bag dust collector placement area sent by the first set of sensing components;

[0013] The determination module is used to determine the bag damage area based on the bag hole distribution area image if both the bag hole distribution area image and the dust concentration information meet the first bag damage condition;

[0014] The acquisition device is also used to acquire images of each bag hole located in the damaged area of ​​the bag and corresponding bag hole concentration information sent by the second set of sensing components.

[0015] The determining module is further configured to determine that the bag corresponding to the bag hole is damaged if the bag hole image and the corresponding bag hole concentration information meet the second bag damage condition.

[0016] Compared with the prior art, the beneficial effects of the bag inspection device provided in this disclosure are the same as those of the bag inspection method provided by the above-mentioned technical solutions, and will not be elaborated here.

[0017] This disclosure also provides a bag inspection system, including:

[0018] A bag inspection system, characterized in that it includes:

[0019] A multi-directional track is located around the bag filter placement area, which has multiple bag holes located on the same plane;

[0020] A movable horizontal arm is located above the placement area of ​​the bag filter, and the movable horizontal arm is mounted on the multi-directional track, which is used to control the movable horizontal arm to move along multiple directions of the bag opening;

[0021] Multiple sets of sensing components are distributed along the extension direction of the moving cross arm, and each of the bag holes is located within the sensing area of ​​the corresponding sensing component.

[0022] The bag detection device according to the exemplary embodiments of this disclosure, wherein the multi-directional track and the multiple sets of the sensing components are all in communication with the bag detection device.

[0023] Compared with the prior art, the bag inspection system provided in this disclosure has the same beneficial effects as the bag inspection method provided by the above-mentioned technical solutions, and will not be elaborated here. Attached Figure Description

[0024] The accompanying drawings, which are included to provide a further understanding of this disclosure and form part of this disclosure, illustrate exemplary embodiments of the present disclosure and are used to explain the disclosure, but do not constitute an undue limitation of the disclosure. In the drawings:

[0025] Figure 1 This diagram illustrates a structural block diagram of the bag detection system 100 provided in an exemplary embodiment of the present disclosure in a practical application.

[0026] Figure 2 A schematic flowchart of a bag detection method according to an exemplary embodiment of the present disclosure is shown;

[0027] Figure 3 A schematic diagram of a bag detection device according to an exemplary embodiment of the present disclosure is shown; Detailed Implementation

[0028] To make the technical problems, technical solutions, and beneficial effects to be solved by this disclosure clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this disclosure and are not intended to limit it.

[0029] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly on that other component. When a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to that other component.

[0030] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this disclosure, "a plurality of" means two or more, unless otherwise expressly and specifically defined. "Several" means one or more, unless otherwise expressly and specifically defined.

[0031] In the description of this disclosure, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this disclosure and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure.

[0032] In the description of this disclosure, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this disclosure according to the specific circumstances.

[0033] Currently, in industrial applications, baghouse dust collectors frequently experience bag breakage, leading to the release of dust particles and excessive particulate matter emissions, which can cause harm to the environment and employee health.

[0034] In current technologies, the monitoring of damaged filter bags mostly relies on manual inspections. However, manual inspections introduce a degree of randomness in assessing the damage status of filter bags in each compartment, and the detection of dust concentration also presents certain errors and difficulties. Furthermore, the inspection process involves a demanding working environment and high labor intensity, with long inspection cycles, making it difficult to detect damaged filter bags in a timely manner, and resulting in high labor costs.

[0035] Based on this, in order to save costs and ensure that staff can work in a healthy and comfortable environment, an exemplary embodiment of this disclosure provides a bag inspection system that can inspect the bag dust collector placement area according to a set cycle. Based on image acquisition equipment and dust concentration detector, by detecting the dust concentration in each compartment and comparing the bag damage, the system can promptly detect the bag damage area and the bag damage condition, and accurately identify and locate the damaged bag, facilitating the subsequent bag replacement and maintenance operations.

[0036] Figure 1 A structural block diagram of the bag detection system provided in an exemplary embodiment of this disclosure is shown in a practical application. Figure 1 As shown, the bag filter inspection system of this exemplary embodiment includes a multi-directional track surrounding a bag filter placement area 100. The bag filter placement area 100 has multiple bag holes 103 located on the same plane, and a movable horizontal arm 102 located above the bag filter placement area 100. The movable horizontal arm 102 is mounted on the multi-directional track 101, which controls the movable horizontal arm 102 to move along multiple directions of the bag holes 103, thereby inspecting the bag filter placement area 100. The drive mechanism of the bag inspection system of this exemplary embodiment is proposed to be a servo motor drive, combined with a precision transmission mechanism such as a gear rack or worm gear, to achieve accurate physical positioning in multiple directions. Based on the arrangement of the bag filter placement area 100, the movable horizontal arm 102 is controlled by the multi-directional track 101 to inspect the bag filter placement area 100.

[0037] like Figure 1 As shown, the multi-directional track 101 of the exemplary embodiment of this disclosure includes a track frame and multiple lifting brackets. The multiple lifting brackets are used to support the track frame and can control the track frame to move in the vertical direction. Based on this, when the bag filter placement area 100 is inspected, the multi-directional track 101 first controls the moving horizontal arm 102 to move along multiple directions of the bag hole 103 to perform a large-area inspection of the bag filter placement area 100, first determining the bag damage area, and then controlling the moving horizontal arm 102 to approach the bag hole based on the lifting brackets to determine the bag damage corresponding to the specific bag hole.

[0038] The bag inspection system of this exemplary embodiment further includes multiple sets of sensing components distributed along the extension direction of the moving cross arm. Each bag hole is located within the sensing area of ​​the corresponding sensing component. The system also includes a bag detection device, and the multi-directional track and multiple sets of sensing components communicate with the bag detection device. The communication method can be wired or wireless. Wired communication can be fiber optic communication or power line carrier communication. Wireless communication can be based on mobile communication technologies such as 5G, 4G, and 3G, or it can be a local area network communication method, such as Wi-Fi, Zigbee, or radio frequency communication.

[0039] For example, each of the above-mentioned sensing components includes an image sensor and a dust concentration sensor. The bag filter detection device communicates with both the image sensor and the dust concentration sensor, acquiring image information of the bag filter placement area based on the image sensor and acquiring concentration information based on the dust concentration sensor.

[0040] Specifically, the multiple sets of sensing components include a first set of sensing components and a second set of sensing components; wherein, the first set of sensing components includes a first side sensing component and a second side sensing component; the movable cross arm has a first end and a second end opposite to each other, the first side sensing component is disposed at the first end of the movable cross arm, and the second side sensing component is disposed at the second end of the movable cross arm; the number of the second set of sensing components is multiple, and the multiple second set of sensing components are evenly arranged along the extension direction of the movable cross arm, and each second set of sensing component is located above the corresponding bag hole.

[0041] For example, firstly, the moving arm, controlled by a multi-directional track, inspects the area where the bag filter is placed. Based on the first set of sensors, it acquires images of the bag filter hole distribution area and dust concentration information within the placement area. By comparing these images with those without dust leakage, the damaged areas of the bag filters are identified. Then, the moving arm, controlled by the multi-directional track, moves to the damaged areas and inspects each bag hole individually. When inspecting the bag holes in the damaged areas, the second set of sensors acquires images of each bag hole and its corresponding concentration information. This information is then combined with an image recognition system to identify the image states of each bag hole in the damaged area when there is dust leakage and when there is no dust leakage, thus determining the bag damage corresponding to the hole. Finally, the second set of sensors acquires the bag hole concentration information. Based on this, the damaged areas and conditions of the bags can be detected in a timely manner, and the location of the damaged bags can be accurately identified and located. This not only saves labor and time costs, but also reduces the emission of dust particles, allowing workers to work in a healthy environment.

[0042] In an exemplary embodiment of this disclosure, when acquiring images of each bag hole in the damaged area of ​​the bag and the corresponding bag hole concentration information, firstly, based on the lifting bracket, the moving cross arm is controlled to approach the bag hole, and then the multi-directional track first controls the moving cross arm to move into the damaged area of ​​the bag. Then, based on the lifting bracket, the second set of sensing components lowered by the moving cross arm descends to the top position of the bag hole, and then based on the second set of sensing components, images of each bag hole in the damaged area of ​​the bag and the corresponding bag hole concentration information are acquired.

[0043] Figure 2 A schematic flowchart of a bag detection method according to an exemplary embodiment of this disclosure is shown. Figure 2 As shown, the bag detection method of the exemplary embodiment of this disclosure includes:

[0044] Step 201: Obtain the image of the bag hole distribution area and the dust concentration information of the bag dust collector placement area sent by the first set of sensing components.

[0045] For example, the first set of sensing components may include an image acquisition device and a dust concentration detection device. The image acquisition device acquires images of the bag filter pore distribution area within the bag filter placement area. This image acquisition can be performed periodically, obtaining images of the bag filter pore distribution area under various conditions, including images of the bag filter pore distribution area when there is dust leakage and images of the bag filter pore distribution area when there is no dust leakage. When the image of the bag filter placement area changes, it is determined that there is damage to the bag filter pores in the bag filter placement area. During the process of the image acquisition device acquiring the bag filter pore distribution area image, the dust concentration information of the bag filter placement area is obtained based on the dust concentration detection device. It should be understood that the dust concentration detection device can be any type of dust concentration detector, and the image acquisition device can be a high-precision image recognition camera.

[0046] In practical applications, multiple dust concentration detection devices and image acquisition devices are respectively installed at the first and second ends of the moving cross arm. These devices are used to acquire dust concentration information and capture images of the bag filter pore distribution area above the bag filter placement area. Based on this, and according to the actual situation of the bag filter placement area, dust concentration information and images of the bag filter pore distribution area are acquired using the moving cross arm.

[0047] Step 202: If both the bag hole distribution area image and the dust concentration information meet the first bag damage condition, determine the bag damage area based on the bag hole distribution area image.

[0048] For example, the first bag breakage condition includes: the dust concentration determined by dust concentration information is greater than or equal to a preset concentration, and bag breakage information is extracted based on the bag pore distribution area image. That is, when the dust concentration is greater than or equal to the preset concentration, it is considered that one of the multiple bag filters in the bag filter placement area has a broken bag. The bag breakage information can be determined by the bag pore distribution area image and a reference image. The reference image can be the bag pore distribution area image when there is no dust leakage. When the bag pore distribution area image is inconsistent with the bag pore distribution area image when there is no dust leakage, it is considered that one of the multiple bag filters in the bag filter placement area has a broken bag. Inspecting the same bag filter placement area based on both dust concentration information and the bag pore distribution area image allows for timely detection of bag breakage areas and breakage conditions, and accurate identification and location of the broken bag, facilitating subsequent bag replacement and maintenance operations.

[0049] For example, determining the damaged area of ​​a fabric bag based on an image of the fabric bag hole distribution area includes: first, determining the damage information of the fabric bag holes based on the image of the fabric bag hole distribution area; and then, locating the damaged area of ​​the fabric bag based on the damage information of the fabric bag holes. The damage information of the fabric bag can be determined by the image of the fabric bag hole distribution area and a reference image. The reference image can be an image of the fabric bag hole distribution area when there is no dust leakage, or an image of the fabric bag hole distribution area when there is dust leakage.

[0050] When the reference image is an image of the bag hole distribution area when there is no dust leakage, the image of the bag hole distribution area at the same location at a certain moment is compared with the reference image. If the image of the bag hole distribution area at a certain moment is inconsistent with the reference image, it is determined that there is a damaged area in the bag hole distribution area. Alternatively, it can be determined by a visual model based on the bag hole distribution area image. The bag hole distribution area image can be converted into an image signal and transmitted to an image processing system to obtain the dust distribution information of the bag hole distribution area image, thereby determining the damaged area of ​​the bag.

[0051] When the reference image is an image of the bag filter hole distribution area during dust leakage, the image of the bag filter hole distribution area at the same location at a certain moment is compared with the reference image. If the image of the bag filter hole distribution area at a certain moment is inconsistent with the reference image, it is determined that there is a damaged area in the bag filter hole distribution area. Alternatively, a visual model can be used to determine the damaged area based on the bag filter hole distribution area image. This image can be converted into an image signal and transmitted to an image processing system to obtain dust distribution information from the bag filter hole distribution area image, thereby identifying the damaged area. It should be understood that this bag filter hole distribution area image can be a dust image, showing the distribution of dust in the corresponding area.

[0052] Step 203: Obtain images of each bag hole located in the damaged area of ​​the bag and the corresponding bag hole concentration information sent by the second set of sensing components.

[0053] For example, the second set of sensing components includes multiple sets of sensing components mounted on a moving cross arm. The moving cross arm is mounted on a multi-directional track. When it is necessary to inspect the area where the bag filter is placed, the moving cross arm can be driven to move along multiple directions of the area where the bag filter is placed by controlling the multi-directional track, so that each bag hole is located within the detection area of ​​the corresponding second sensing component.

[0054] For example, the second sensing component may include an image acquisition device and a dust concentration detection device. The dust concentration detection device may be a precision dust concentration detection device, used to accurately detect the concentration value of each bag hole. When a bag damage area is determined, the multi-directional track drives the moving cross arm to move to the bag damage area, and accurately detects each bag in the bag damage area. The image acquisition device acquires images of each bag hole in the bag damage area, and the dust concentration detection device obtains the corresponding bag hole concentration information for each bag hole.

[0055] Step 204: If the bag hole image and the corresponding bag hole concentration information meet the second bag damage condition, determine that the bag corresponding to the bag hole is damaged.

[0056] For example, the second bag breakage condition includes: determining that the bag pore concentration is greater than or equal to a preset bag pore concentration based on the bag pore concentration information, and extracting bag breakage information based on the bag pore image. That is, when the bag pore concentration corresponding to a certain bag is greater than or equal to the preset bag pore concentration, the bag pore is determined to be broken, and the bag breakage information is extracted based on the bag pore image. By inspecting the same bag dust collector using both bag pore concentration information and bag pore image, breakage can be detected in a timely manner, and bag breakage and dust leakage can be uploaded in a timely manner, facilitating the execution of subsequent bag replacement and maintenance operations.

[0057] For example, bag damage information can be determined from a bag hole image and a reference image. The reference image can be a bag hole image when there is no dust leakage. Based on this, the bag hole image at a certain moment is compared with the reference image. When the bag hole image at a certain moment is inconsistent with the reference image, the bag corresponding to that bag hole is determined to be damaged. Bag damage information can also be determined by a visual model based on the bag hole image. The image of the bag hole distribution area can be converted into an image signal and transmitted to an image processing system to obtain the dust distribution information of the bag hole image, thereby determining the bag damage information.

[0058] The exemplary embodiments disclosed herein enable intelligent inspection of the bag filter placement area, quickly and accurately identifying and locating damaged filter bags. This not only saves labor costs but also reduces the hazards caused by dust leakage, facilitating subsequent filter bag replacement and maintenance operations.

[0059] Figure 3 A schematic diagram of a bag detection device according to an exemplary embodiment of the present disclosure is shown. Figure 3 As shown in the schematic diagram 300 of the bag detection device, it includes:

[0060] The acquisition module 301 is used to acquire the image of the bag hole distribution area of ​​the bag dust collector placement area and the dust concentration information of the bag dust collector placement area sent by the first group of sensing components;

[0061] The determining module 302 is used to determine the bag damage area based on the bag hole distribution area image if both the bag hole distribution area image and the dust concentration information meet the first bag damage condition;

[0062] The acquisition module 301 is also used to acquire images of each bag hole located in the damaged area of ​​the bag and corresponding bag hole concentration information sent by the second set of sensing components.

[0063] The determining module 302 is further configured to determine that the bag corresponding to the bag hole is damaged if the bag hole image and the corresponding bag hole concentration information meet the second bag damage condition.

[0064] As one possible implementation, the first bag breakage condition includes: the dust concentration determined based on the dust concentration information is greater than or equal to a preset concentration, and the bag breakage information is extracted based on the bag hole distribution area image.

[0065] As one possible implementation, the bag damage information is determined by the image of the bag hole distribution area and a reference image; or, the bag damage information is determined by a visual model based on the image of the bag hole distribution area.

[0066] As one possible implementation, determining the damaged area of ​​the bag based on the image of the bag hole distribution area includes: determining bag hole damage information based on the image of the bag hole distribution area; and locating the damaged area of ​​the bag based on the bag hole damage information.

[0067] As one possible implementation, the second bag damage condition includes: determining that the bag pore concentration is greater than or equal to a preset bag pore concentration based on the bag pore concentration information, and extracting bag damage information based on the bag pore image.

[0068] As one possible implementation, the bag damage information is determined by the bag hole image and a reference image; or, the bag damage information is determined by a visual model based on the bag hole image.

[0069] As one possible implementation, the second set of sensing components includes multiple sets of sensing components disposed on a movable cross arm, the movable cross arm being disposed on a multi-directional track, and the method further includes: controlling the multi-directional track to drive the movable cross arm to move along multiple directions along the bag filter placement area, such that each bag hole is located within the detection area of ​​the corresponding second sensing component.

[0070] Although this disclosure has been described herein in conjunction with various embodiments, those skilled in the art will understand and implement other variations of the disclosed embodiments by reviewing the accompanying drawings, the disclosure, and the appended claims in carrying out the claimed disclosure. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0071] Although this disclosure has been described in conjunction with specific features and embodiments, it will be apparent that various modifications and combinations can be made therein without departing from the spirit and scope of this disclosure. Accordingly, this specification and drawings are merely exemplary illustrations of the disclosure as defined by the appended claims and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of this disclosure. It is obvious that those skilled in the art can make various alterations and modifications to this disclosure without departing from its spirit and scope. Thus, this disclosure is also intended to include any such modifications and modifications that fall within the scope of the claims of this disclosure and their equivalents.

Claims

1. A method for detecting fabric bags, characterized in that, The method includes: The movable horizontal arm located above the bag filter placement area is controlled to move at a first detection height to acquire an image of the bag filter hole distribution area and dust concentration information of the bag filter placement area sent by a first set of sensing components located at both ends of the movable horizontal arm; wherein, the first set of sensing components includes a first side sensing component and a second side sensing component, the movable horizontal arm has a first end and a second end opposite to each other, the first side sensing component is located at the first end of the movable horizontal arm, and the second side sensing component is located at the second end of the movable horizontal arm. If both the bag hole distribution area image and the dust concentration information meet the first bag damage condition, the bag damage area is determined based on the bag hole distribution area image; the first bag damage condition includes: the dust concentration determined based on the dust concentration information is greater than or equal to a preset concentration, and the first bag damage information is extracted based on the bag hole distribution area image; The movable horizontal arm is controlled to move at a second detection height to obtain images of each bag hole in the damaged area of ​​the bag and corresponding bag hole concentration information sent by the second set of sensing components. The first detection height is greater than the second detection height. The second set of sensing components consists of multiple components, which are evenly arranged along the extension direction of the movable horizontal arm. Each second set of sensing components corresponds to a bag hole. If the bag hole image and the corresponding bag hole concentration information meet the second bag damage condition, the bag corresponding to the bag hole is determined to be damaged; the second bag damage condition includes: determining that the bag hole concentration is greater than or equal to a preset bag hole concentration based on the bag hole concentration information, and extracting the second bag damage information based on the bag hole image.

2. The method according to claim 1, characterized in that, The first bag damage information is determined by the image of the bag hole distribution area and a reference image; or, The first bag damage information is determined by a visual model based on an image of the bag hole distribution area.

3. The method according to claim 1, characterized in that, The step of determining the damaged area of ​​the bag based on the image of the bag hole distribution area includes: The damage information of the first bag is determined based on the image of the bag hole distribution area; The damaged area of ​​the bag is located based on the first bag damage information.

4. The method according to claim 1, characterized in that, The second bag damage information is determined by the bag hole image and the reference image; or, The second bag damage information is determined by a visual model based on the bag hole image.

5. The method according to any one of claims 1 to 4, characterized in that, The movable crossarm is mounted on a multi-directional track, and the method further includes: The multi-directional track drives the moving cross arm to move along multiple directions in the placement area of ​​the bag filter, so that each bag hole is located within the detection area of ​​the corresponding second set of sensing components.

6. A cloth bag detection device, characterized in that, The device includes: The acquisition module is used to control a movable horizontal arm located above the bag filter placement area to move at a first detection height in order to acquire an image of the bag filter hole distribution area and dust concentration information of the bag filter placement area sent by a first set of sensing components located at both ends of the movable horizontal arm; wherein, the first set of sensing components includes a first side sensing component and a second side sensing component, the movable horizontal arm has a first end and a second end opposite to each other, the first side sensing component is located at the first end of the movable horizontal arm, and the second side sensing component is located at the second end of the movable horizontal arm; The determination module is used to determine the bag damage area based on the bag hole distribution area image if both the bag hole distribution area image and the dust concentration information meet the first bag damage condition; the first bag damage condition includes: the dust concentration determined based on the dust concentration information is greater than or equal to a preset concentration, and the first bag damage information is extracted based on the bag hole distribution area image; The acquisition module is further configured to control the moving horizontal arm to move at a second detection height to acquire images of each bag hole in the damaged area of ​​the bag and corresponding bag hole concentration information sent by the second set of sensing components, wherein the first detection height is greater than the second detection height; wherein there are multiple second set of sensing components, and the multiple second set of sensing components are evenly arranged along the extension direction of the moving horizontal arm, and the second set of sensing components corresponds one-to-one with the bag hole; The determining module is further configured to determine that the bag corresponding to the bag hole is damaged if the bag hole image and the corresponding bag hole concentration information meet the second bag damage condition; the second bag damage condition includes: determining that the bag hole concentration is greater than or equal to a preset bag hole concentration based on the bag hole concentration information, and extracting the second bag damage information based on the bag hole image.

7. A bag inspection system, characterized in that, include: A multi-directional track is located around the bag filter placement area, which has multiple bag holes located on the same plane; A movable horizontal arm is located above the placement area of ​​the bag filter, and the movable horizontal arm is mounted on the multi-directional track, which is used to control the movable horizontal arm to move along multiple directions of the bag opening; Multiple sets of sensing components are provided, including a first set of sensing components and a second set of sensing components. The first set of sensing components includes a first-side sensing component and a second-side sensing component. The movable crossarm has a first end and a second end, with the first-side sensing component located at the first end and the second-side sensing component located at the second end. Multiple second-set sensing components are provided, evenly distributed along the extending direction of the movable crossarm. Each second set of sensing components corresponds to a hole in the fabric bag. And the bag detection device of claim 6, wherein the multi-directional track and the multiple sets of the sensing components are all in communication with the bag detection device.

8. The system according to claim 7, characterized in that, Each set of sensing components includes an image sensor and a dust concentration sensor, and the bag detection device communicates with both the image sensor and the dust concentration sensor.

9. The system according to claim 7, characterized in that, Each of the second set of sensing components is located above the corresponding bag opening.

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