An abnormality coated workpiece recognition system

Abstract

The present application belongs to the field of furniture, and particularly relates to an abnormal glue coating workpiece identification system, which comprises a production line, a glue coating and edge sealing module, an identification and recording module and an abnormality identification module. The production line is used for conducting assembly line conveying of workpieces. The glue coating and edge sealing module is arranged on the production line and is used for sequentially completing glue coating and edge sealing procedures on the workpieces on the production line. The identification and recording module is located in the feeding direction of the glue coating module and is used for recording the time when the workpieces enter the glue coating module. The abnormality identification module is arranged in the discharging direction of the glue coating module and is used for identifying whether the workpieces appear abnormal jamming and recording the time when the abnormal jamming appears. The present application provides an abnormal glue coating workpiece identification system, and aims to solve the problem that the repeatedly glued wood board cannot be identified in the prior art.

Description

Technical Field

[0001] This invention belongs to the field of furniture, and specifically relates to a system for identifying abnormally coated workpieces. Background Technology

[0002] In the mass production of furniture, wood panels, as the core material, require multiple continuous processing steps, including cutting, sanding, gluing, and edge banding. These steps are typically carried out sequentially via a conveyor system. However, the processing time varies depending on the size of the wood panel. For example, different wood panels require different numbers of holes, resulting in varying drilling times. This difference in processing time can cause unfinished panels from previous steps to accumulate on the conveyor system, obstructing the normal transport of subsequent panels and causing jams.

[0003] When a wooden board gets stuck, and this stuck board happens to be in the gluing and edge-banding process area, the gluing and edge-banding equipment operates continuously and automatically. The gluing mechanism runs according to a preset conveying rhythm and processing parameters, and cannot immediately detect the stuck board. The gluing mechanism will still repeat the gluing operation on the stuck board according to normal processing logic. However, the hot melt adhesives used in the gluing and edge-banding process have strict requirements on the amount and uniformity of the glue applied. Appropriate and uniform glue application is a prerequisite for ensuring a firm bond between the edge banding strip and the wooden board. Abnormal glue application will directly affect the bonding performance. Repeated gluing will lead to glue residue and excessive glue layer in the gluing area of ​​the stuck board, resulting in a significantly worse edge-banding effect. Specifically, this manifests as weak adhesion between the edge banding strip and the wooden board, edge lifting, and even edge banding detachment during subsequent processing, transportation, or use, affecting the quality of the furniture. Summary of the Invention

[0004] This invention provides an abnormal glue-coated workpiece identification system, the purpose of which is to solve the problem in the prior art that it is impossible to identify wood boards that have been repeatedly glued.

[0005] To achieve the above objectives, the present invention provides an abnormal adhesive coating workpiece identification system, comprising: A production line for the assembly line transport of workpieces; An adhesive application and edge sealing module is provided on the production line. The adhesive application module is used to sequentially apply adhesive and seal the edges of the workpieces on the production line. An identification and recording module, located in the feeding direction of the adhesive coating module, is used to record the time when the workpiece enters the adhesive coating module; and An anomaly identification module is provided, which is located in the discharge direction of the adhesive coating module. The anomaly identification module is used to identify whether the workpiece is abnormally stuck and to record the time when the abnormal stuck occurs.

[0006] Preferably, the system further includes a processing module, which is signal-connected to the identification and recording module and the anomaly module. The processing module automatically identifies abnormally coated workpieces based on the difference between the time of the anomaly and the time when the workpiece enters the adhesive coating module.

[0007] Preferably, it further includes a sorting module, which is signal-connected to the processing module; The sorting module separates the abnormally coated workpieces from the normal workpieces based on the judgment result of the processing module.

[0008] Preferably, the sorting module is a screening device that separates abnormally coated workpieces from normal workpieces, thereby achieving the separation of abnormally coated workpieces from normal workpieces.

[0009] Preferably, the sorting module is equipped with a code reader, which is located at the front end of the sorting module. The code reader is used to identify the code of the workpiece to distinguish the workpiece. The sorting module separates the abnormally coated workpiece from the normal workpiece according to the distinction result of the code reader.

[0010] Preferably, the identification and recording module includes a barcode scanner, and each workpiece is assigned a code. The barcode scanner identifies the workpiece code to record the time when each workpiece enters the gluing module. or, The identification and recording module includes a code-affixing unit, which is used to affix codes to the surface of the workpiece to record the time when each workpiece enters the adhesive application module.

[0011] Preferably, the anomaly recognition module is an image recognition device or an electrical signal recognition device.

[0012] The beneficial effects of this invention are as follows: This solution accurately collects the time when the workpiece enters the glue application and sealing module through the identification and recording module, and combines this with the real-time capture of the time of abnormal occurrence by the abnormal identification module. The processing module calculates and judges the difference between the two times, accurately locating workpieces whose difference falls within a preset range and identifying them as abnormal glue-applied workpieces. This method effectively solves the shortcomings of existing technologies in accurately locating abnormal glue-applied workpieces, thereby improving the intelligence level and processing qualification rate of the production line. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of a system for identifying abnormally coated workpieces.

[0014] The attached diagram includes the following reference numerals: 1. Identification and recording module; 2. Glue sealing module; 3. Anomaly identification module; 4. Code reader; 5. Sorting module; 6. Processing module. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of the embodiments clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention.

[0016] The basic implementation examples are as follows: Figure 1 As shown, an abnormal glue-coated workpiece identification system mainly includes a production line, a glue-coating and edge-sealing module 2, an identification and recording module 1, an abnormal identification module 3, a processing module 6, and a sorting module 5. The modules work together to realize the automatic identification and sorting of abnormal glue-coated workpieces.

[0017] In this embodiment, the production line adopts a conveyor belt structure for continuously transporting the workpieces to be processed, providing a stable transport foundation for the orderly implementation of subsequent processes. The workpieces can be wooden boards or blocks. The glue application and edge sealing module 2 is installed on the production line to sequentially complete the glue application and edge sealing processes on the transported workpieces. Specifically, the glue application and edge sealing module 2 consists of a glue application mechanism and an edge sealing mechanism: the glue application mechanism is responsible for evenly applying glue to the edges of the workpiece, laying the foundation for the edge sealing process; the edge sealing mechanism then adheres and fixes the edge sealing strip around the edge of the workpiece, achieving a sealed protection for the workpiece edge. The specific structures of the production line, glue application mechanism, and edge sealing mechanism can be referenced from existing technologies, and will not be elaborated upon in this embodiment.

[0018] In this embodiment, the identification and recording module 1 is located in the feeding direction of the adhesive coating and edge sealing module 2. Its core function is to record the specific time when the workpiece enters the adhesive coating and edge sealing module 2, providing a time reference for subsequent anomaly detection. This module includes a barcode scanner, which uses an image scanning method to read the pre-set workpiece code on the surface of each workpiece. The workpiece code can be a barcode or a QR code, serving as the unique identifier of the workpiece. When the workpiece passes through the identification and recording module 1 with the production line, the barcode scanner scans the code on the workpiece surface and completes the decoding to obtain the unique identifier ID of the workpiece. Subsequently, the coded data is transmitted to the processing module 6. After receiving the workpiece code data, the processing module 6 synchronously reads the current system time as the time when the workpiece enters the adhesive coating and edge sealing module 2, establishes a data combination of "workpiece code + entry time", and stores this data combination in its own database.

[0019] It should be noted that the above is only a preferred method for recording the workpiece entry time; other methods can also be used to obtain the time when the workpiece enters the adhesive sealing module 2. Specifically, the identification and recording module 1 is configured to include a labeling unit, which prints and affixes coded labels to the workpiece in real time. The labeling unit can be a labeling machine. When the workpiece is conveyed to the labeling position, the labeling unit completes the labeling action, and at this time, the system time is recorded synchronously, and this time is used as the time when the workpiece enters the adhesive sealing module 2.

[0020] After the glue application and edge sealing process is completed in the glue application and edge sealing module 2, the workpiece will continue to move along the production line to the next process. If the workpiece encounters abnormalities such as jamming during the conveying process, it will be identified in real time by the abnormality identification module 3, and the occurrence time of the abnormal jamming will be recorded simultaneously, providing key basis for the identification of abnormal workpieces.

[0021] In this embodiment, the anomaly identification module 3 is preferably located in the discharge direction of the adhesive sealing module 2, and uses an electrical signal identification device as the identification component. The electrical signal identification device maintains a signal connection with the production line and can receive the operating signals transmitted by the production line in real time. When a workpiece on the production line experiences an anomaly such as jamming, it will cause a change in the operating state of the production line, which will in turn cause corresponding fluctuations in the electrical signals of the production line's operating state. This signal change will be captured, identified, and acquired by the electrical signal identification device in real time, and then the anomaly signal will be fed back to the processing module 6 to provide a basis for the subsequent identification of abnormal workpieces.

[0022] It should be noted that the above is only a preferred method for identifying anomalies; other methods can also be used. Specifically, the anomaly identification module 3 employs an image recognition device, which consists of an industrial camera and an image processing unit. The industrial camera collects real-time data on the conveying status of workpieces on the production line and synchronously feeds back the collected image information to the image processing unit. The image processing unit can be an industrial computer, which runs a dedicated image recognition algorithm to analyze the received image information in real time and accurately detect the conveying status of the workpieces. When an anomaly is detected (such as workpieces contacting or overlapping each other, or the workpiece's moving speed being significantly lower than a preset threshold), the image processing unit immediately feeds back the anomaly detection result to the processing module 6 and simultaneously records the specific time of the anomaly.

[0023] In this embodiment, the processing module 6 establishes signal connections with both the identification and recording module 1 and the anomaly identification module 3, serving as the core control unit of the entire system. The processing module 6 can be an industrial control computer, and its core function is to automatically identify abnormal glue-coated workpieces based on the difference (usually in seconds) between the time of the anomaly occurrence and the time the workpiece enters the glue-coating and edge-sealing module 2. Specifically, the identification logic is as follows: when the anomaly identification module 3 detects an anomaly and reports the time of occurrence, the processing module 6 retrieves the "workpiece code + entry time" data combination from the database. Workpieces entering the glue-coating and edge-sealing module 2 within the vicinity of the anomaly occurrence time (usually 3 seconds) are identified as abnormal glue-coated workpieces, and an anomaly mark is added to the workpiece code in the system.

[0024] To separate abnormally coated workpieces from normal workpieces, this embodiment places the sorting module 5 at the rear end of the adhesive coating and sealing module 2. Based on the judgment result of the processing module 6, the sorting module 5 accurately separates the abnormally coated workpieces from the normal workpieces. Specifically, the sorting module 5 can employ a conveyor-type screening device. After the workpieces enter the conveyor-type screening device, the device guides the abnormally coated workpieces and normal workpieces along different conveying paths, thereby achieving effective separation. Simultaneously, to ensure that no abnormal workpieces are missed or incorrectly screened, this embodiment configures a barcode reader 4 at the front end of the sorting module 5. This barcode reader 4 scans the codes of passing workpieces in real time and transmits the coded data to the processing module 6. After receiving the data, the processing module 6 queries the database to determine if the workpiece code corresponds to a marked abnormally coated workpiece. If the query result is yes, the sorting module 5 immediately initiates the screening action, separating the abnormally coated workpiece and completing the entire abnormal identification and sorting process.

[0025] A secondary inspection station can be set up at the discharge point of the abnormal glued workpiece in the sorting device, where workers can perform a second inspection. When the abnormal glued workpiece is transported to this secondary inspection station, the workers will conduct a second inspection. If the inspection result is no abnormality, the workers will put the abnormal glued workpiece back into the production line. If the inspection result is abnormal, the workers will rework the abnormal glued workpiece.

[0026] The following detailed description illustrates the specific implementation method: Workpieces sequentially enter the gluing and edge-sealing module 2 via the production line to complete the gluing and edge-sealing processes. When a workpiece passes the identification and recording module 1, the module simultaneously records the time the workpiece enters the gluing and edge-sealing module 2 and feeds this time data back to the processing module 6. After completing the gluing and edge-sealing processes, the workpiece continues to be conveyed along the production line to enter subsequent processes.

[0027] If an abnormality occurs on the production line, the abnormality identification module 3 will identify the abnormality in real time and record the time of occurrence, while simultaneously feeding back the time of occurrence to the processing module 6. After receiving the relevant time data, the processing module 6 will determine the abnormality by calculating the difference between the time of occurrence and the time when the workpiece enters the glue application and sealing module 2. Workpieces with a difference within a preset range will be identified as abnormal glue application workpieces. Finally, the sorting module 5 will separate the abnormal glue application workpieces from the normal workpieces.

[0028] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific structures and characteristics is not elaborated upon here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the structure of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A system for identifying abnormally coated workpieces, characterized in that: include A production line for the assembly line transport of workpieces; The glue application and edge sealing module (2) is installed on the production line. The glue application module is used to sequentially apply glue and seal the edges of the workpieces on the production line. The identification and recording module (1) is located in the feeding direction of the glue coating module and is used to record the time when the workpiece enters the glue coating module. as well as Anomaly identification module (3) is set in the discharge direction of the glue coating module. The anomaly identification module (3) is used to identify whether the workpiece is abnormally stuck and to record the time when the abnormal stuck occurs.

2. The abnormal adhesive coating workpiece identification system according to claim 1, characterized in that: It also includes a processing module (6), which is connected to the identification and recording module (1) and the abnormal module. The processing module (6) automatically identifies abnormal glued workpieces based on the difference between the time of the abnormality and the time when the workpiece enters the glue coating module.

3. The abnormal adhesive coating workpiece identification system according to claim 2, characterized in that: It also includes a sorting module (5), which is signal-connected to the processing module (6); The sorting module (5) separates the abnormally coated workpiece from the normal workpiece based on the judgment result of the processing module (6).

4. The abnormal adhesive coating workpiece identification system according to claim 3, characterized in that: The sorting module (5) is a screening device that separates abnormal glued workpieces from normal workpieces, thereby achieving the separation of abnormal glued workpieces from normal workpieces.

5. The abnormal adhesive coating workpiece identification system according to claim 3, characterized in that: The sorting module (5) is equipped with a code reader (4), which is located at the front end of the sorting module (5). The code reader (4) is used to identify the code of the workpiece to distinguish the workpiece. The sorting module (5) separates the abnormal glued workpiece from the normal workpiece according to the distinction result of the code reader (4).

6. The abnormal adhesive coating workpiece identification system according to claim 1, characterized in that: The identification and recording module (1) includes a barcode scanner. Each workpiece is assigned a code. The barcode scanner identifies the workpiece code to record the time when each workpiece enters the gluing module. or, The identification and recording module (1) includes a code-sticking unit, which is used to stick the code to the surface of the workpiece to record the time when each workpiece enters the glue-coating module.

7. The abnormal adhesive coating workpiece identification system according to claim 1, characterized in that: The anomaly recognition module (3) is an image recognition device or an electrical signal recognition device.

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