Chinese chestnut packaging bag detection system and method

Abstract

The system comprises a temperature control box, a detection channel is formed in the temperature control box in the horizontal direction, a conveying belt penetrating through the detection channel is further arranged below the temperature control box, and positioning mechanisms for positioning packaging bags on the conveying belt are arranged on the two sides of the detection channel; a pressing assembly is arranged on the temperature control box; the pressing assembly comprises a pneumatic cylinder, the pneumatic cylinder is installed on the temperature control box, a telescopic rod of the pneumatic cylinder penetrates through the temperature control box and extends into the detection channel, and the end of the telescopic rod of the pneumatic cylinder is fixedly connected with a pressing plate. An infrared detection device is also arranged in the temperature control box; multiple sorting assemblies are arranged on the two sides, away from the temperature control box, of the conveying belt. An image detection device used for shooting the packaging bag and a light supplementing device are further arranged above the conveying belt; the conveying belt is further provided with a plurality of position detection devices used for detecting the positions of the packaging bags. The device further comprises a control device and a temperature adjusting device. The Chinese chestnut packaging bag quality detection device has the effect of improving the efficiency and accuracy of Chinese chestnut packaging bag quality detection.

Description

Technical Field

[0001] This application relates to the technical field of quality inspection of packaging bags, and in particular to a system and method for inspecting chestnut packaging bags. Background Technology

[0002] As material needs grow, people are paying more and more attention to information related to the composition and quality safety of food, which in turn leads to more and more testing requirements for food packaging bags.

[0003] There are increasingly more styles of chestnut packaging bags available. The inspection of chestnut packaging bags mainly includes printing inspection, size inspection, and leak detection. Printing inspection ensures that the design is accurate and that trademarks and text are clear and complete. Size inspection measures and checks the dimensions of the bag to ensure it meets the required specifications. Leak detection checks the airtightness of the bag to prevent oxidation, contamination, or spoilage of the chestnuts during packaging.

[0004] Currently, factories primarily rely on manual visual inspection for the quality control of chestnut packaging bags. This manual method, involving squeezing or observing by eye, suffers from low efficiency, high subjectivity, and susceptibility to errors. Therefore, an automated, efficient, and accurate inspection method and system are needed to improve the quality control level of chestnut packaging bags. Summary of the Invention

[0005] To improve the efficiency and accuracy of chestnut packaging bag quality inspection, this application provides a chestnut packaging bag inspection system and method.

[0006] In a first aspect, this application provides a chestnut packaging bag detection system, which adopts the following technical solution: A chestnut packaging bag inspection system, comprising: The device includes a temperature control box with a detection channel arranged horizontally. A conveyor belt passing through the detection channel and used for transporting packaging bags is also provided below the temperature control box. Positioning mechanisms for positioning the packaging bags on the conveyor belt are provided on both sides of the detection channel. A pressing assembly is provided on the temperature control box. The pressing assembly includes a first pneumatic cylinder mounted on the temperature control box. The telescopic rod of the first pneumatic cylinder extends through the temperature control box into the detection channel, and a pressing plate is fixedly connected to the end of the telescopic rod. An infrared detection device is also provided inside the temperature control box. Multiple sorting components are also provided on both sides of the conveyor belt away from the temperature control box; an image detection device and a supplementary lighting device for capturing images of packaging bags are also provided above the conveyor belt; a position detection device for detecting the position of packaging bags is also provided on one side of the conveyor belt corresponding to the position of the sorting components and the position of the positioning mechanism. It also includes a control device and a temperature regulating device for adjusting the temperature of the temperature control box; the conveyor belt, the positioning mechanism, the pressing component, the infrared detection device, the sorting component, the image detection device, the supplementary lighting device, the temperature regulating device and the position detection device are all electrically connected to the control device.

[0007] By adopting the above technical solution, the chestnut packaging bags to be inspected are placed on a conveyor belt, which transports them to the inspection channel of the temperature-controlled chamber. A positioning mechanism positions the packaging bags on the conveyor belt to ensure accurate positioning during inspection. The first pneumatic cylinder in the pressing assembly presses down the pressing plate via a telescopic rod. During this pressing process, an infrared detection device inside the temperature-controlled chamber inspects the packaging bags, checking for seals or other characteristics. An image detection device and a supplementary lighting device above the conveyor belt photograph and illuminate the packaging bags, checking their appearance quality or other features. Sorting components on both sides of the conveyor belt classify or process the packaging bags based on the inspection results, sending qualified bags to one side and subjecting unqualified bags to other processing. This system automatically inspects chestnut packaging bags, reducing manual operation and human error, improving inspection accuracy and efficiency. It also employs multiple detection devices, such as infrared and image detection devices, to comprehensively and meticulously inspect various characteristics and quality of the packaging bags.

[0008] Optionally, the bottom of the lower pressure plate is an arc-shaped panel.

[0009] By adopting the above technical solution, the bottom of the pressure plate is an arc panel, which can provide uniform pressure, has strong adaptability, and is compatible with the arc surface of the packaging bag, which helps to improve the performance and effect of the chestnut packaging bag detection system.

[0010] Optionally, the positioning mechanism includes a positioning plate assembly and a second pneumatic cylinder for driving the positioning plate assembly to move horizontally. The end of the telescopic rod of the second pneumatic cylinder is fixedly connected to a mounting plate. A motor is mounted on the mounting plate, and the output shaft of the motor is coaxially fixedly connected to a first bevel gear. The first bevel gear meshes with a second bevel gear, and the central shaft of the second bevel gear passes through the mounting plate and is fixedly connected to the positioning plate assembly.

[0011] By adopting the above technical solution, when it is necessary to position the packaging bag, the control device controls the motor to start according to the rotation angle and type of the packaging bag identified by the image detection device. The rotation angle of the positioning plate assembly is adjusted according to the rotation angle. The output shaft of the motor rotates, driving the first bevel gear to rotate. The rotation of the first bevel gear drives the positioning plate assembly to rotate. Then, the control device controls the second pneumatic cylinder to start according to the type of packaging bag. The second pneumatic cylinder pushes the positioning plate assembly to clamp the packaging bag. The controller controls the motor to start, so that the positioning plate is aligned, thereby adjusting the packaging bag. This helps to ensure the accurate positioning and stability of the chestnut packaging bag during the detection process.

[0012] The positioning mechanism works in conjunction with the pressing component to prevent the packaging bag from moving during the pressing process, which could cause inaccurate detection by the infrared detection device, thus enabling the system to accurately detect the airtightness of the packaging bag.

[0013] Optionally, the positioning component includes a first positioning plate, which is fixedly connected to the central shaft of the second bevel gear. A plurality of springs are provided on the side of the first positioning plate away from the second pneumatic cylinder. One end of the plurality of springs is fixedly connected to the first positioning plate, and the other end of the springs is fixedly connected to the second positioning plate.

[0014] By adopting the above technical solution, multiple springs are set on the side of the first positioning plate away from the second pneumatic cylinder. When the positioning plate is subjected to external force or impact, the springs can absorb and disperse some of the energy, reducing the possibility of the packaging bag being damaged by the pressure plate.

[0015] Optionally, the sorting assembly includes at least one third pneumatic cylinder, which is disposed on one side of the conveyor belt, and a push plate is installed at the end of the telescopic rod of the third pneumatic cylinder; a sorting table corresponding to the third pneumatic cylinder is disposed on the other side of the conveyor belt.

[0016] By adopting the above technical solution, when it is necessary to sort the packaging bags, the control device controls the third pneumatic cylinder to start. The telescopic rod of the third pneumatic cylinder pushes the push plate to push the packaging bags into the sorting table, thereby realizing the automatic sorting of abnormal packaging bags.

[0017] Secondly, this application provides a method for detecting chestnut packaging bags applied to a new system for chestnut packaging bags, employing the following technical solution: A method for detecting chestnut packaging bags includes: Obtain the detection task; the detection task includes the packaging bag type; Acquire the first image information of the packaging bag captured by the image detection device; Based on the first image information and the type of packaging bag, determine whether the packaging bag has any clarity abnormalities; If there is a sharpness anomaly, the level of sharpness anomaly is determined based on the first image information and the preset sharpness classification rules; The sorting device is controlled to sort bags with abnormal clarity according to the level of clarity abnormality. If there is no clarity abnormality, then determine whether the packaging bag has a size abnormality based on the first image information and the packaging bag type; If there is a size abnormality, determine whether the abnormal size belongs to another type of packaging bag. If the abnormal size is a size of other packaging bag type, the size abnormality level is determined to be the first size abnormality level; otherwise, the size abnormality level is determined to be the second size abnormality level. The sorting device is controlled to sort out packaging bags with abnormal sizes according to the size abnormality level. If there is no size abnormality, then acquire the second image information of the packaging bag captured by the infrared detection device; Determine whether there is an airtightness abnormality based on the second image information; If an airtightness anomaly exists, the airtightness anomaly level is determined based on the second image information and the preset airtightness classification rules; The sorting device is controlled to sort the airtight packaging bags according to the airtightness abnormality level. If there are no abnormalities in airtightness, then the packaging bag has passed the quality inspection.

[0018] By adopting the above technical solution, automated quality inspection of packaging bags is performed using image detection and infrared detection devices. The image detection device checks the clarity and size of the packaging bags, while the infrared detection device checks their airtightness. No manual intervention is required, improving inspection efficiency and accuracy. For packaging bags with different quality anomalies, the sorting device can be controlled according to the severity of the anomaly to handle and sort them accordingly, separating defective packaging bags from normal packaging bags, thus improving product quality consistency and reliability. Through automated inspection, multiple anomaly detection, and automatic sorting, the efficiency and accuracy of packaging bag quality inspection are improved, and the defect rate is reduced.

[0019] Optionally, before acquiring the second image information of the packaging bag captured by the infrared detection device, the method further includes: When the position signal of the packaging bag is received from the position detection device located inside the temperature control box, the conveyor belt is controlled to stop. The rotation angle of the packaging bag is determined based on the packaging bag type and the first image information; The control motor starts, causing the positioning plate assembly to rotate according to the stated rotation angle; the control second pneumatic cylinder pushes the packaging bag to the middle of the conveyor belt for positioning; the control motor starts, causing the positioning plate assembly to return to its original position. The first pneumatic cylinder is activated according to the type of packaging bag, causing the lower pressure plate to press down on the packaging bag.

[0020] By adopting the above technical solution, the system can determine the rotation angle of the packaging bag based on the type of packaging bag and the first image information, so as to facilitate subsequent positioning and adjustment operations. By controlling the packaging to the correct position through the customized plate assembly, the packaging bag is in a stable state and adapts to the pressure plate when the pressure plate presses down on the packaging bag for airtightness testing. The pressure plate will not crush the packaging bag. Furthermore, positioning can reduce the possibility of image blurring or distortion during the infrared detection device recording process, thereby improving the reliability of the detection results.

[0021] Optionally, when the abnormality type of the packaging bag is determined to be any abnormality, the method further includes, Identify the production markings of the packaging bag based on the first image information; The production machine for the packaging bags is determined based on the production identifier and the type of abnormality. The abnormal time period of the abnormal packaging bag is determined by dividing the abnormal time period into intervals based on the abnormal time of the abnormal packaging bag; Retrieve the generation parameters and monitoring video of the packaging bag production machine during the abnormal time period; Compare the generation parameters corresponding to the packaging bag type with the generation parameters to confirm whether they are consistent; If there is a discrepancy, the anomaly is determined to be a personnel setting anomaly; If they match, the cause of the anomaly is analyzed based on the surveillance video, and an anomaly report is generated; the anomaly report includes surveillance video of the anomaly period.

[0022] By adopting the above technical solution, the specific production machine or production line that generated the packaging bags is determined based on the generation identifier and anomaly type. According to the anomaly time and preset time period division rules, the system can retrieve and analyze data to pinpoint the anomaly time period in which the anomaly packaging bag occurred, thereby tracing the source of the anomaly. By retrieving generation parameters and monitoring videos, data support can be provided to aid in anomaly analysis and problem solving. Anomaly reports are generated based on monitoring videos and anomaly causes, facilitating management personnel's understanding and review of anomalies. This provides reference and basis for anomaly resolution, ultimately improving the quality of packaging bags and production management.

[0023] Optionally, the step of analyzing the cause of the anomaly based on the surveillance video and generating an anomaly report includes: The monitoring video is subjected to feature extraction of a preset area to obtain first feature information; The first feature information is compared with the preset first comparison information to determine whether there is any abnormal human operation; If so, then the cause of the packaging bag abnormality is determined to be the second abnormality; If not, then the noise generated by the production machine in the monitoring video is extracted based on the operating status of the production machine to obtain noise information; Compare the noise information with the preset equipment noise to determine if the equipment is malfunctioning; If so, then the cause of the packaging bag abnormality is determined to be the third abnormality; If not, then feature extraction is performed on the key components of the generating machine in the surveillance video to obtain second feature information; the key components include cutting tools, printing heads, and sealing devices; The second feature information is compared with the first comparison information to determine whether there is any abnormality in the equipment components; the abnormality in the equipment components includes component wear, component loosening, component misalignment, and component damage; If so, then the cause of the packaging bag abnormality is determined to be the fourth abnormality; If not, feature extraction is performed on the supply material of the packaging bag in the surveillance video to obtain third feature information; The third feature information is compared with the third comparison information to determine whether there is an abnormality in material supply; If so, then the cause of the packaging bag abnormality is determined to be the fifth abnormality; Select a report template based on the cause of the packaging bag abnormality, and the report template includes a processing strategy based on the abnormality type; An anomaly report is generated based on the report template and the surveillance video.

[0024] By adopting the above technical solutions, through feature extraction, comparison, and report generation, abnormal personnel operation, abnormal equipment operation, abnormal equipment parts, and unstable material supply can be identified, and corresponding handling strategies can be provided to improve the stability of the production process, quality control, and problem-solving capabilities.

[0025] Optionally, after analyzing the cause of the anomaly based on the surveillance video, the method further includes: Generate corresponding alarm information based on the abnormal conditions of the generating machine; The generation of corresponding alarm information based on the abnormal situation of the generating machine includes: If the abnormal situation is due to personnel setting abnormality, a first alarm message is generated; or, if the abnormal situation is due to personnel operation abnormality, a second alarm message is generated; or, if the abnormal situation is due to equipment operation abnormality, a third alarm message is generated; or, if the abnormal situation is due to equipment component abnormality, a fourth alarm message is generated; or, if the abnormal situation is due to unstable material supply abnormality, a fifth alarm message is generated.

[0026] By adopting the above technical solution, different alarm information is generated according to different abnormal situations to alarm the management terminal or the site, which makes it easier to know the different abnormal causes based on different alarm information, and thus facilitates the adoption of corresponding countermeasures.

[0027] In summary, this application includes at least one of the following beneficial technical effects: Automated quality inspection of packaging bags is performed using image detection and infrared detection devices. The image detection device checks the clarity and size of the packaging bags, while the infrared detection device checks their airtightness. No manual intervention is required, improving inspection efficiency and accuracy. For packaging bags with different quality anomalies, the sorting device can be controlled according to the severity of the anomaly to handle and sort them accordingly, separating defective packaging bags from normal packaging bags, thus improving product quality consistency and reliability. Through automated inspection, multiple anomaly detection, and automatic sorting, the efficiency and accuracy of packaging bag quality inspection are improved, reducing the defect rate.

[0028] By identifying the specific production machine or production line that generated the packaging bags based on their generation identifier and anomaly type, and according to the anomaly time and preset time period division rules, the system can retrieve and analyze data to pinpoint the anomaly time period in which the anomaly occurred, thus enabling anomaly tracing. By retrieving generation parameters and monitoring videos, data support can be provided to aid in anomaly analysis and problem-solving. Anomaly reports are generated based on the monitoring videos and anomaly causes, facilitating management personnel's understanding and review of the anomalies. This provides reference and basis for anomaly resolution, ultimately improving the quality of packaging bags and production management. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the chestnut packaging bag detection system according to an embodiment of this application.

[0030] Figure 2 This is a schematic diagram showing the connection between the image detection device and the conveyor belt in the chestnut packaging bag detection system according to an embodiment of this application.

[0031] Figure 3 This is a block diagram of the control structure of the chestnut packaging bag detection system according to an embodiment of this application.

[0032] Figure 4 This is a cross-sectional view of the internal structure of the temperature control box in the chestnut packaging bag detection system according to an embodiment of this application.

[0033] Figure 5 This is a schematic diagram of a single-sided positioning structure in the chestnut packaging bag detection system according to an embodiment of this application.

[0034] Figure 6 This is a flowchart illustrating the chestnut packaging bag detection method according to an embodiment of this application.

[0035] Figure 7 This is a flowchart illustrating steps Sa to Sg in an embodiment of this application.

[0036] Explanation of reference numerals in the attached drawings: 1. Temperature control box; 11. Detection channel; 12. Pressing assembly; 121. First pneumatic cylinder; 122. Pressing plate; 13. Infrared detection device; 2. Conveyor belt; 21. Sorting assembly; 211. Third pneumatic cylinder; 212. Push plate; 213. Sorting table; 22. Image detection device; 23. Supplemental lighting device; 24. Position detection device; 3. Positioning mechanism; 31. Positioning plate assembly; 311. First positioning plate; 312. Second positioning plate; 313. Spring; 32. Second pneumatic cylinder; 33. Mounting plate; 34. Motor; 35. First bevel gear; 36. Second bevel gear; 4. Temperature regulating device; 5. Control device. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0038] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0039] This application provides a chestnut packaging bag detection system, referring to... Figure 1 , Figure 2 and Figure 3 The chestnut packaging bag inspection system includes a temperature control box 1, a detection channel 11 is set in the horizontal direction of the temperature control box 1, and a conveyor belt 2 is set below the temperature control box 1 to place and transport the packaging bags through the detection channel 11. The packaging bags are placed on the conveyor belt 2 and inspected in sequence.

[0040] Positioning mechanisms 3 for positioning the packaging bags on the conveyor belt 2 are provided on both sides of the detection channel 11. A pressing component 12 for pressing down the packaging bags is also provided on the temperature control box 1. An infrared detection device 13 for detecting the airtightness of the packaging bags is provided inside the temperature control box 1. The infrared detection device 13 can be an infrared camera. An image detection device 22 and a supplementary lighting device 23 are also provided above the inlet end of the conveyor belt 2. The image detection device 22 is used to detect the size of the packaging bags and the image clarity. Multiple sorting components 21 are also provided on both sides of the conveyor belt 2 away from the temperature control box 1. A position detection device 24 for detecting the position of the packaging bags is also provided on one side of the conveyor belt 2 corresponding to the positions of the sorting components 21 and the positioning mechanisms 3. The position detection device 24 can be a photoelectric sensor, a laser sensor, etc.

[0041] In this embodiment, after the image detection device 22 detects a size abnormality in the packaging bag, it classifies the size abnormality into levels. Similarly, after the image detection device 22 detects an image clarity abnormality in the packaging bag, it classifies the size abnormality into levels. In this embodiment, both size abnormalities and image clarity abnormalities are classified into two levels, corresponding to a first level and a second level, respectively. After the infrared detection device 13 detects an airtightness abnormality in the packaging bag, it classifies the airtightness abnormality into levels, namely a first airtightness abnormality level and a second airtightness abnormality level. In other embodiments, the classification can be based on actual usage and is not specifically limited.

[0042] The sorting component 21 is used to sort abnormal packaging bags. The sorting component 21 is set according to the abnormality of the packaging bags. In this application, the abnormality of the packaging bags is divided into six cases, and the sorting component 21 is set into six groups accordingly.

[0043] Both the inlet and outlet of the detection channel 11 are equipped with soft curtains (not shown in the figure), and the bottom of the soft curtains has an opening for the packaging bag to pass through. This design reduces the influence of the external temperature on the temperature of the detection channel 11 inside the temperature control chamber 1.

[0044] Reference Figure 3 The system also includes a control device 5 and a temperature regulating device 4 for adjusting the temperature of the temperature control box 1. The conveyor belt 2, positioning mechanism 3, pressing component 12, infrared detection device 13, sorting component 21, image detection device 22, supplementary lighting device 23, temperature regulating device 4 and position detection device 24 are all electrically connected to the control device 5.

[0045] When quality inspection of the packaging bags is required, the supplementary lighting device 23 is activated to provide supplementary lighting for the packaging bag size inspection environment and the packaging bag clarity inspection environment. The temperature regulation device 4 is activated to lower the temperature inside the temperature control box 1, so that the temperature inside the temperature control box 1 reaches the preset temperature threshold. The conveyor belt 2 transports the packaging bags. When the position detection device 24 detects that the packaging bag has been transported to the first position, the position detection device 24 controls the control device 5 to send the first position signal to stop the conveyor belt 2. The control device 5 controls the image detection device 22 to take a picture of the packaging bag and send the first image photo to the control device 5. The control device 5 recognizes the first image photo and performs size and clarity inspection on the packaging bag.

[0046] When an abnormal size of the packaging bag is detected, the conveyor belt 2 transports the packaging bag. When the position detection device 24, which is located at the abnormal size position, detects the packaging bag, the position detection device 24 sends a position detection signal to the control device 5. The control device 5 controls the conveyor belt 2 to stop according to the position detection signal and starts the sorting component 21 corresponding to the abnormal size of the packaging bag to sort the abnormal size packaging bag.

[0047] When abnormal image clarity of the packaging bag is detected, the conveyor belt 2 transports the packaging bag. When the position detection device 24, located at the position of abnormal clarity, detects the packaging bag, the position detection device 24 sends a position detection signal to the control device 5. The control device 5 controls the conveyor belt 2 to stop according to the position detection signal and starts the sorting component 21 corresponding to the abnormal image clarity of the packaging bag to sort the packaging bag with abnormal image clarity.

[0048] When all packaging bags are free of size and clarity abnormalities, conveyor belt 2 continues to transport the packaging bags into temperature control box 1. When the position detection device 24 located in temperature control box 1 detects a packaging bag, it sends a position detection signal to control device 5. Control device 5 controls conveyor belt 2 to stop based on the position detection signal and controls positioning mechanism 3 to start, adjusting the packaging bags on conveyor belt 2. After the packaging bags are adjusted, control device 5 controls pressing component 12 to press down on the packaging bags. During the pressing process, control device 5 activates infrared detection device 13 to scan the infrared thermal image of the packaging bags. Since the temperature inside temperature control box 1 is adjusted to a preset temperature by temperature regulating device 4, the temperature of detection channel 11 is lower than the internal temperature of the packaging bags. If the packaging bags leak, the heat of the leaking airflow is higher than the temperature inside detection channel 11. This heat is detected by infrared detection device 13 located in temperature control box 1, which can identify the infrared radiation energy emitted from the leaking packaging bags. This allows for rapid detection of leaks at the sealed openings of the packaging bags, improving detection efficiency. Identifying infrared radiation energy using infrared detection devices is a current technology and will not be discussed further here.

[0049] When an airtightness abnormality is detected in the packaging bag, the control device 5 controls the positioning mechanism 3 and the pressing component 12 to return to their original positions, and the conveyor belt transports the packaging bag out of the temperature control box 1. When the position detection device 24 located at the airtightness abnormality position detects the packaging bag, the position detection device 24 sends a position detection signal to the control device 5. The control device 5 controls the conveyor belt 2 to stop according to the position detection signal and starts the sorting device 21 corresponding to the airtightness abnormality of the packaging bag to sort the packaging bags with abnormal size.

[0050] Reference Figure 4 The pressing assembly 12 includes a first pneumatic cylinder 121, which is mounted on the temperature control box 1. The telescopic rod of the first pneumatic cylinder 121 extends through the temperature control box 1 into the detection channel 11. A pressing plate 122 is fixedly connected to the end of the telescopic rod of the first pneumatic cylinder 121. The bottom of the pressing plate 122 is an arc panel.

[0051] When it is necessary to press down on the packaging bag, the control device 5 controls the first pneumatic cylinder 121 to start. The telescopic rod of the first pneumatic cylinder 121 pushes the pressure plate 122 to press down on the packaging bag. The pressure of the pneumatic cylinder is relatively low, which is suitable for airtightness testing of food packaging bags. The bottom of the pressure plate 122 is a curved panel, which can provide uniform pressure and has strong adaptability. It is compatible with the curved surface of the packaging bag, which helps to improve the performance and effectiveness of the chestnut packaging bag testing system.

[0052] Reference Figure 5 The positioning mechanism 3 includes a positioning plate assembly 31 and a second pneumatic cylinder 32 for driving the positioning plate to move horizontally. The positioning plate assembly 31 and the second pneumatic cylinder 32 are respectively arranged on both sides of the inspection channel. The end of the telescopic rod of the second pneumatic cylinder 32 is fixedly connected to a mounting plate 33. A motor 34 is mounted on the mounting plate 33. The output shaft of the motor 34 is coaxially fixedly connected to a first bevel gear 35. The first bevel gear 35 meshes with a second bevel gear 36. The central shaft of the second bevel gear 36 passes through the mounting plate 33 and is fixedly connected to the positioning assembly.

[0053] The positioning plate assembly 31 includes a first positioning plate 311, which is fixedly connected to the second bevel gear 36. A plurality of springs 313 are provided on the side of the first positioning plate 311 away from the second pneumatic cylinder 32. One end of the spring 313 is fixedly connected to the first positioning plate 311, and the other end of the spring 313 is fixedly connected to the second positioning plate 312.

[0054] When positioning of the packaging bag is required, the control device 5 controls the motor 34 to start according to the rotation angle and type of the packaging bag identified by the image detection device 22. The rotation angle of the positioning plate assembly 31 is adjusted according to the rotation angle. The output shaft of the motor 34 rotates, driving the first bevel gear 35 to rotate. The rotation of the first bevel gear 35 drives the positioning plate assembly 31 to rotate. Then, the control device 5 controls the second pneumatic cylinder 32 to start according to the type of packaging bag. The second pneumatic cylinder 32 pushes the positioning plate assembly 31 to clamp the packaging bag. The control device 5 controls the motor 34 to start, so that the positioning plate assembly 31 is aligned, thereby adjusting the packaging bag. This helps to ensure the accurate positioning and stability of the chestnut packaging bag during the detection process.

[0055] Reference Figure 1 Each sorting assembly 21 includes two third pneumatic cylinders 211, and correspondingly, each sorting assembly 21 also includes two sorting tables 213. The third pneumatic cylinders 211 are located on one side of the conveyor belt 2, and the third pneumatic cylinders 211 and sorting tables 213 are located on the other side of the conveyor belt 2. A push plate 212 is installed at the end of the telescopic rod of the third pneumatic cylinder 211. When it is necessary to sort the packaging bags, the control device 5 controls the third pneumatic cylinder 211 to start. The telescopic rod of the third pneumatic cylinder 211 pushes the push plate 212 to push the packaging bags into the sorting table 213, thereby realizing the automatic sorting of abnormal packaging bags.

[0056] This application provides a method for detecting chestnut packaging bags. This method is applied to a chestnut packaging bag detection system and is executed by an electronic device. The electronic device can be a server or a mobile terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The mobile terminal device can be a tablet computer, a mobile phone, a desktop computer, etc., but is not limited to these.

[0057] The embodiments of this application will now be described in further detail with reference to the accompanying drawings. Figure 6 As shown, the main process of the method includes steps S101 to S113.

[0058] Step S101: Obtain the detection task; the detection task includes the packaging bag type; In the embodiments of this application, the chestnut packaging bags come in different sizes, and the different sizes of packaging bags are different types of packaging bags. Each type of packaging bag needs to be tested for size, clarity and airtightness.

[0059] Step S102: Obtain the first image information of the packaging bag captured by the image detection device; In this embodiment, when the conveyor belt transports the packaging bag to below the image detection device and the supplementary lighting device, the conveyor belt stops, and the image detection device takes a picture of the packaging bag to obtain first image information. The electronic device identifies whether the first image information is clear. If the first image information is not clear, the image detection device takes another picture until a clear first image information is obtained.

[0060] Step S103: Determine whether there is a clarity abnormality in the packaging bag based on the first image information and the type of packaging bag; if there is a clarity abnormality, proceed to steps S104-S105; if there is no clarity abnormality, proceed to step S106.

[0061] Step S104: Determine the level of image sharpness abnormality based on the first image information and the preset image sharpness classification rules; In this embodiment, the electronic device performs feature recognition on the first image information and determines whether the packaging bag has any clarity abnormalities and the level of clarity abnormality based on the feature recognition results and preset clarity classification rules. Feature recognition of the first image information is a prior art technique in this field.

[0062] Step S105: Control the sorting device to sort the packaging bags with abnormal clarity according to the clarity abnormality level; In this embodiment, the abnormal clarity of the packaging bag is divided into two levels: a first level of abnormal clarity and a second level of abnormal clarity. Each level of abnormal clarity corresponds to a sorting station.

[0063] Step S106: Determine whether the packaging bag has a size abnormality based on the first image information and the type of packaging bag; if there is a size abnormality, proceed to steps S107-S108; if there is no size abnormality, proceed to step S109.

[0064] Step S107: Determine whether the abnormal size is a size of another type of packaging bag; if the abnormal size is a size of another type of packaging bag, then determine the size abnormality level as the first size abnormality level; otherwise, determine the size abnormality level as the second size abnormality level. In this embodiment of the application, the size of the packaging bag is identified by performing size feature recognition on the first image to determine whether the size of the packaging bag matches the type of packaging bag in the detection task. Size feature recognition is also a prior art in this field and will not be described in detail here.

[0065] Step S108: Control the sorting device to sort the packaging bags with abnormal size according to the size abnormality level; Step S109: Obtain the second image information of the packaging bag captured by the infrared detection device; In this embodiment, after the electronic device determines that the packaging bag does not have any abnormal clarity or size, the conveyor belt continues to transport the packaging bag to the temperature control box, and the infrared detection device captures a second image of the packaging bag to perform airtightness detection.

[0066] Before acquiring the second image information of the packaging bag captured by the infrared detection device, the method further includes: When the electronic equipment receives a position signal of the packaging bag from the position detection device located inside the temperature control box, it controls the conveyor belt to stop. Subsequently, the electronic device determines the rotation angle of the packaging bag based on the type of packaging bag and the first image information; it is possible that the packaging bag is transported to the temperature-controlled box and the placement angle of the packaging bag is not suitable for the pressure plate to squeeze the packaging bag, so the packaging bag is adjusted according to the rotation angle of the packaging bag.

[0067] The control motor starts, causing the positioning plate assembly to rotate according to the stated rotation angle; the control second pneumatic cylinder pushes the packaging bag to the middle of the conveyor belt for positioning; the control motor starts, causing the positioning plate assembly to return to its original position. The first pneumatic cylinder is activated according to the type of packaging bag, causing the lower pressure plate to press down on the packaging bag.

[0068] By using the type of packaging bag and the first image information, the rotation angle of the packaging bag can be determined for subsequent positioning and adjustment operations. The packaging bag is adjusted by controlling the customized plate assembly, so that when the pressure plate presses down on the packaging bag for airtightness testing, the packaging bag is in a stable state and adapts to the pressure plate. The pressure plate will not crush the packaging bag. Furthermore, positioning can reduce the possibility of image blurring or distortion during the infrared detection device recording process, thereby improving the reliability of the detection results.

[0069] Step S110: Determine whether there is an airtightness abnormality based on the second image information; if there is an airtightness abnormality, proceed to steps S111-S112; if there is no airtightness abnormality, proceed to step S113.

[0070] In this embodiment of the application, during the pressing process of the lower platen, the infrared detection device takes a picture of the packaging bag, and the electronic device acquires the second image information to detect whether there is infrared radiation energy in the second image. If there is infrared radiation energy, it is determined that the packaging bag has an airtightness abnormality.

[0071] Step S111: Determine the airtightness anomaly level based on the second image information and the preset airtightness classification rules; Step S112: Control the sorting device to sort the airtight packaging bags according to the airtightness abnormality level; Step S113: Determine that the packaging bag has passed the quality inspection.

[0072] In this embodiment, the airtightness anomaly level of the packaging bag is divided according to the size of the leakage. The airtightness anomaly level is also divided into two levels: a first airtightness anomaly level and a second airtightness anomaly level. Of course, it can also be divided into one or more levels depending on the actual usage. After the packaging bag passes quality inspection, the image detection device and the infrared detection device inspect the next packaging bag on the conveyor belt.

[0073] In this embodiment of the application, a monitoring sorting component can also be implemented to ensure that the sorting component sorts abnormal packaging bags into the sorting station, thereby ensuring the accuracy of packaging bag detection.

[0074] By systematically investigating abnormalities in packaging bag size, clarity, and airtightness, the sorting device can be controlled to handle and sort different types of packaging bags according to the severity of the abnormality. This separates packaging bags with quality defects from normal packaging bags, improving the consistency and reliability of product quality. It eliminates the need for manual intervention and enhances the efficiency and accuracy of packaging bag quality inspection.

[0075] As another implementation of the embodiments of this application, such as Figure 7 As shown, when the abnormality type of the packaging bag is determined to be any abnormality, the method further includes steps Sa~Sg: Step Sa: Identify the production identifier of the packaging bag based on the first image information; In this embodiment of the application, different packaging bags may be produced by different production machines, and different production marks are printed on the packaging bags to distinguish the different production machines of the packaging bags.

[0076] Step Sb: Determine the packaging bag production machine based on the production identifier and the type of anomaly. Step Sc: Determine the abnormal time period of the abnormal packaging bag based on the abnormal time of the abnormal packaging bag and the preset time period. Step Sd: Retrieve the generation parameters and monitoring video of the packaging bag production machine during the abnormal time period; In this embodiment of the application, the number of abnormal events during the abnormal period can be accumulated and counted. Based on the number of abnormal events and the preset number of abnormal events, the generation parameters and monitoring videos of the packaging bag production machine during the abnormal period can be retrieved.

[0077] Step Se: Compare the generation parameters corresponding to the packaging bag type with the generation parameters to confirm whether they are consistent; if they are inconsistent, proceed to step Sf; if they are consistent, proceed to step Sg.

[0078] Step Sf: Determine that the anomaly is a personnel setting anomaly, and designate the personnel setting anomaly as the first anomaly; Step Sg: Analyze the cause of the anomaly based on the surveillance video and generate an anomaly report; the anomaly report includes surveillance video of the abnormal time period.

[0079] In this embodiment of the application, since parameter comparison saves video analysis resources, the generation parameters corresponding to the packaging bag type are first compared with the generation parameters to confirm whether there are any abnormal personnel settings. If there are no abnormal personnel settings, other abnormalities are analyzed based on the monitoring video.

[0080] In this embodiment of the application, step Sg specifically includes: First, feature extraction is performed on the surveillance video of a preset area to obtain first feature information. Feature extraction of the preset area can be performed using computer vision technology, such as target detection algorithms and image processing algorithms.

[0081] The first feature information is compared with the preset first comparison information to determine whether there is any abnormal human operation; If so, then the cause of the packaging bag abnormality is determined to be the second abnormality; If not, then the noise generated by the production machine in the monitoring video is extracted based on the operating status of the production machine to obtain noise information.

[0082] In this embodiment, a feature matching algorithm or a classification algorithm can be used to determine whether there is any abnormal human operation based on the comparison results. If the extracted feature information does not match the preset normal operation features, the cause of the packaging bag abnormality can be determined to be a second abnormality.

[0083] Next, the noise information is compared with the preset equipment noise to determine whether the equipment is malfunctioning; If so, then the cause of the packaging bag abnormality is determined to be the third abnormality; If not, then feature extraction is performed on the key components of the generating machine in the surveillance video to obtain second feature information; the key components include cutting tools, printing heads, and sealing devices; In this embodiment, if the comparison results show no abnormal personnel operation, the noise generated in the monitoring video can be extracted based on the operating status of the production machine. Signal processing techniques are used to analyze the noise generated by the production machine in the monitoring video, such as using Fourier transform or filtering algorithms to extract noise features and comparing them with preset equipment noise.

[0084] Next, the second feature information is compared with the first comparison information to determine whether there is any abnormality in the equipment components; the abnormality in the equipment components includes component wear, component loosening, component misalignment, and component damage; If so, then the cause of the packaging bag abnormality is determined to be the fourth abnormality; If not, feature extraction is performed on the supply material of the packaging bag in the surveillance video to obtain third feature information; In this embodiment, by extracting feature information of key components from the monitoring video, such as cutting tools, printing heads, and sealing devices, and comparing it with preset comparison information, it is possible to determine whether there are any abnormalities in the equipment parts, such as wear, loosening, misalignment, or damage. This facilitates timely detection of component problems and allows for repair or replacement measures to ensure the normal operation of the equipment and production quality.

[0085] Next, the third feature information is compared with the third comparison information to determine whether there is any abnormality in material supply; If so, then the cause of the packaging bag abnormality is determined to be the fifth abnormality; In this embodiment, by extracting the characteristic information of the supplied materials for packaging bags from the monitoring video and comparing it with preset comparison information, it is possible to determine whether there are any abnormal situations of unstable material supply. This facilitates the optimization of the material supply system, ensures a stable supply of materials, and improves production efficiency and product quality.

[0086] Then, a report template is selected based on the abnormality of the packaging bag, and the report template includes a processing strategy based on the abnormality type; An anomaly report is generated based on the report template and the surveillance video.

[0087] In this application implementation, different abnormal situations correspond to different report templates. Video parsing technology can be used to parse the monitoring video and extract key information such as timestamps and locations where abnormalities occur. The parsed key information is then filled into the corresponding fields in the report template, such as the time of occurrence, location, and description of the abnormality. The completed report template is then converted into the final abnormal report document, which can be in text format or other visual formats.

[0088] By identifying the specific production machine or production line that generated the packaging bags based on their generation identifier and anomaly type, and according to the anomaly time and preset time period division rules, the system can retrieve and analyze data to pinpoint the anomaly time period in which the anomaly occurred, thus enabling anomaly tracing. By retrieving generation parameters and monitoring videos, data support can be provided to aid in anomaly analysis and problem-solving. Anomaly reports are generated based on the monitoring videos and anomaly causes, facilitating management personnel's understanding and review of the anomalies. This provides reference and basis for anomaly resolution, ultimately improving the quality of packaging bags and production management.

[0089] After analyzing the cause of the anomaly based on the surveillance video, the method further includes: Generate corresponding alarm information based on the cause of the packaging bag abnormality; The generation of corresponding alarm information based on the abnormal situation of the generating machine includes: If the abnormal situation is a first abnormality, a first alarm message is generated; or, if the abnormal situation is a second abnormality, a second alarm message is generated; or, if the abnormal situation is a third abnormality, a third alarm message is generated; or, if the abnormal situation is a fourth abnormality, a fourth alarm message is generated; or, if the abnormal situation is a fifth abnormality, a fifth alarm message is generated.

[0090] By generating different alarm messages based on different abnormal situations, alarms can be sent to the management terminal or the site, making it easier to understand the different causes of the abnormalities based on the different alarm messages, and thus making it easier to take corresponding countermeasures.

[0091] This method automates the quality inspection of packaging bags using image detection and infrared detection devices. The image detection device checks the clarity and size of the packaging bags, while the infrared detection device checks their airtightness. No manual intervention is required, improving inspection efficiency and accuracy. For packaging bags with different quality anomalies, the sorting device can be controlled according to the severity of the anomaly to handle and sort them accordingly, separating defective packaging bags from normal ones, thus improving product quality consistency and reliability. Through automated inspection, multiple anomaly detection, and automatic sorting, the efficiency and accuracy of packaging bag quality inspection are improved, reducing the defect rate.

[0092] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0093] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A chestnut packaging bag detection system, characterized in that, The device includes a temperature control box (1), which has a detection channel (11) in the horizontal direction. A conveyor belt (2) passing through the detection channel (11) and used for transporting packaging bags is also provided below the temperature control box (1). Positioning mechanisms (3) for positioning the packaging bags on the conveyor belt (2) are provided on both sides of the detection channel (11). A pressing assembly (12) is provided on the temperature control box (1). The pressing assembly (12) includes a first pneumatic cylinder (121), which is installed on the temperature control box (1). The telescopic rod of the first pneumatic cylinder (121) extends through the temperature control box (1) into the detection channel (11). A pressing plate (122) is fixedly connected to the end of the telescopic rod of the first pneumatic cylinder (121). An infrared detection device (13) is also provided inside the temperature control box (1). Multiple sorting components (21) are also provided on both sides of the conveyor belt (2) away from the temperature control box (1); an image detection device (22) and a supplementary lighting device (23) for taking pictures of the packaging bags are also provided above the conveyor belt (2); a position detection device (24) for detecting the position of the packaging bags is also provided on one side of the conveyor belt (2) corresponding to the position of the sorting component (21) and the position of the positioning mechanism (3). It also includes a control device (5) and a temperature regulating device (4) for adjusting the temperature of the temperature control box (1); the conveyor belt (2), the positioning mechanism (3), the pressing component (12), the infrared detection device (13), the sorting component (21), the image detection device (22), the supplementary lighting device (23), the temperature regulating device (4) and the position detection device (24) are all electrically connected to the control device (5).

2. The chestnut packaging bag inspection device according to claim 1, characterized in that, The bottom of the lower pressure plate (122) is an arc panel.

3. The method according to claim 2, characterized in that, The positioning mechanism (3) includes a positioning plate assembly (31) and a second pneumatic cylinder (32) for driving the positioning plate assembly (31) to move horizontally. The end of the telescopic rod of the second pneumatic cylinder (32) is fixedly connected to a mounting plate (33). A motor (34) is mounted on the mounting plate (33). The output shaft of the motor (34) is coaxially fixedly connected to a first bevel gear (35). The first bevel gear (35) meshes with a second bevel gear (36). The central shaft of the second bevel gear (36) passes through the mounting plate (33) and is fixedly connected to the positioning plate assembly (31).

4. The method according to claim 3, characterized in that, The positioning plate assembly (31) includes a first positioning plate (311), which is fixedly connected to the second bevel gear (36). A plurality of springs (313) are provided on the side of the first positioning plate (311) away from the second pneumatic cylinder (32). One end of the plurality of springs (313) is fixedly connected to the first positioning plate (311), and the other end of the springs (313) is fixedly connected to the second positioning plate (312).

5. The method according to claim 1, characterized in that, The sorting assembly (21) includes at least one third pneumatic cylinder (211), which is located on one side of the conveyor belt (2). A push plate (212) is installed at the end of the telescopic rod of the third pneumatic cylinder (211). A sorting table (213) corresponding to the third pneumatic cylinder (211) is provided on the other side of the conveyor belt (2).

6. A method for detecting chestnut packaging bags applied to a chestnut packaging bag detection system, characterized in that, include: Obtain the detection task; the detection task includes the packaging bag type; Acquire the first image information of the packaging bag captured by the image detection device; Based on the first image information and the type of packaging bag, determine whether the packaging bag has any clarity abnormalities; If there is a sharpness anomaly, the level of sharpness anomaly is determined based on the first image information and the preset sharpness classification rules; The sorting device is controlled to sort bags with abnormal clarity based on the level of clarity abnormality. If there is no clarity abnormality, then determine whether the packaging bag has a size abnormality based on the first image information and the packaging bag type; If there is a size abnormality, determine whether the abnormal size belongs to another type of packaging bag. If the abnormal size is a size of other packaging bag types, then the size abnormality level is determined to be the first size abnormality level; Otherwise, the dimensional anomaly level is determined to be the second dimensional anomaly level; The sorting device is controlled to sort out packaging bags with abnormal sizes according to the size abnormality level. If there is no size abnormality, then acquire the second image information of the packaging bag captured by the infrared detection device; Determine whether there is an airtightness abnormality based on the second image information; If an airtightness anomaly exists, the second image information and the preset airtightness classification rules determine the airtightness anomaly level; The sorting device is controlled to sort the airtight packaging bags according to the airtightness abnormality level. If there are no abnormalities in airtightness, then the packaging bag has passed the quality inspection.

7. The method according to claim 6, characterized in that, Before acquiring the second image information of the packaging bag captured by the infrared detection device, the method further includes: When the position signal of the packaging bag is received from the position detection device located inside the temperature control box, the conveyor belt is controlled to stop. The rotation angle of the packaging bag is determined based on the packaging bag type and the first image information; The control motor starts, causing the positioning plate assembly to rotate according to the stated rotation angle; the control second pneumatic cylinder pushes the packaging bag to the middle of the conveyor belt for positioning; the control motor starts, causing the positioning plate assembly to return to its original position. The first pneumatic cylinder is activated according to the type of packaging bag, causing the lower pressure plate to press down on the packaging bag.

8. The method according to claim 6, characterized in that, When the abnormality type of the packaging bag is determined to be any abnormality, the method further includes, Identify the production markings of the packaging bag based on the first image information; The production machine for the packaging bags is determined based on the production identifier and the type of abnormality. The abnormal time period of the abnormal packaging bag is determined by dividing the abnormal time period into intervals based on the abnormal time of the abnormal packaging bag; Retrieve the generation parameters and monitoring video of the packaging bag production machine during the abnormal time period; Compare the generation parameters corresponding to the packaging bag type with the generation parameters to confirm whether they are consistent; If there is a discrepancy, the anomaly is determined to be a personnel setting anomaly, and the personnel setting anomaly is designated as the first anomaly. If they match, the cause of the anomaly is analyzed based on the surveillance video, and an anomaly report is generated; the anomaly report includes surveillance video of the anomaly period.

9. The method according to claim 8, characterized in that, The step of analyzing the cause of the anomaly based on the surveillance video and generating an anomaly report includes: The monitoring video is subjected to feature extraction of a preset area to obtain first feature information; The first feature information is compared with the preset first comparison information to determine whether there is any abnormal human operation; If so, then the cause of the packaging bag abnormality is determined to be the second abnormality; If not, then the noise generated by the production machine in the monitoring video is extracted based on the operating status of the production machine to obtain noise information; Compare the noise information with the preset equipment noise to determine if the equipment is malfunctioning; If so, then the cause of the packaging bag abnormality is determined to be the third abnormality; If not, then feature extraction is performed on the key components of the generating machine in the surveillance video to obtain second feature information; the key components include cutting tools, printing heads, and sealing devices; The second feature information is compared with the first comparison information to determine whether there is any abnormality in the equipment components; the abnormality in the equipment components includes component wear, component loosening, component misalignment, and component damage; If so, then the cause of the packaging bag abnormality is determined to be the fourth abnormality; If not, feature extraction is performed on the supply material of the packaging bag in the surveillance video to obtain third feature information; The third feature information is compared with the third comparison information to determine whether there is an abnormality in material supply; If so, then the cause of the packaging bag abnormality is determined to be the fifth abnormality; Select a report template based on the cause of the packaging bag abnormality, and the report template includes a processing strategy based on the abnormality type; An anomaly report is generated based on the report template and the surveillance video.

10. The method according to claim 9, characterized in that, After analyzing the cause of the anomaly based on the surveillance video, the method further includes: Generate corresponding alarm information based on the cause of the packaging bag abnormality; The generation of corresponding alarm information based on the abnormal situation of the generating machine includes: If the abnormal situation is a first abnormality, a first alarm message is generated; or, if the abnormal situation is a second abnormality, a second alarm message is generated; or, if the abnormal situation is a third abnormality, a third alarm message is generated; or, if the abnormal situation is a fourth abnormality, a fourth alarm message is generated; or, if the abnormal situation is a fifth abnormality, a fifth alarm message is generated.

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