A pulp molding automated production system and working method

Abstract

A kind of paper pulp molding automated production system, including molding machine body, conveying system, feeding mechanism, drying system, humidification system and hot-pressing system;The molding machine body is close to the input end of the conveying system, the feeding mechanism is located between conveying system and molding machine body, and the feeding mechanism is used to grab paper tray on molding machine body to the conveying part of conveying system;The drying system, the humidity acquisition device, the humidification system and the hot-pressing system are sequentially arranged on conveying system from the feed end to the discharge end of the conveying system.The overall structure is simple, and through the automatic conveying, drying, humidification, hot-pressing system, and image recognition and sorting device, each link is automatically processed to improve production efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of paper pulp production, in particular to a paper pulp molding automatic production system and working method. BACKGROUND

[0002] In the existing system, each link of the paper tray production is manually processed. After the paper tray is molded by the molding machine, it needs to be processed by the drying system, the humidifying system and the hot pressing system. Due to the slight performance degradation of the equipment after long-term use, a slight deviation is generated. At the same time, due to the characteristics of the raw materials, the raw materials have slight differences in density and thickness, which will also cause deviations in the humidity of the processed products. Due to the accumulation of errors in each link, the humidity of each paper tray is different. Since the humidifying system cannot independently adapt to the humidity of each paper tray, the humidity of each independent paper tray is inconsistent. If the humidity does not reach the set value, it will affect the temperature distribution of the entire paper tray in the hot pressing system. The humidity of the paper tray is not enough to make it fully softened and deformed in the hot pressing system, resulting in that the strength and shape do not meet the requirements. At the same time, insufficient or excessive humidity may cause uneven temperature distribution of the paper tray during hot pressing, thereby affecting the forming quality of the product.

[0003] At the same time, after hot pressing is completed, the appearance of the paper tray needs to be checked in time to ensure that there is no obvious damage. Whether the surface is flat, whether there are scratches or depressions, etc. Labeling is needed after the detection is qualified. At present, quality inspection and labeling are manually performed in different production lines, which needs to be moved again in the middle, resulting in low work efficiency. Therefore, in order to solve the above problems, a paper pulp molding automatic production system and working method are needed. SUMMARY

[0004] The present application is directed to the deficiencies of the prior art, and proposes a paper pulp molding automatic production system and working method, wherein the specific technical scheme of a paper pulp molding automatic production system is as follows:

[0005] A paper pulp molding automatic production system, comprising a molding machine body, characterized in that:

[0006] Further comprising a conveying system, a feeding mechanism, a drying system, a humidifying system and a hot pressing system;

[0007] The molding machine body is close to the input end of the conveying system, the feeding mechanism is located between the conveying system and the molding machine body, and the feeding mechanism is used to grab the paper tray on the molding machine body to the conveying part of the conveying system;

[0008] The drying system, the humidity acquisition device, the humidifying system and the hot pressing system are sequentially arranged on the conveying system from the feeding end to the discharging end of the conveying system.

[0009] To better achieve the present application, further:

[0010] It comprises a data acquisition system, a data processing module, a prediction model, a parameter deployment module, a control system, and a visualization module.

[0011] The data acquisition system communicates with the data processing module, the data processing module inputs the processed data into the trained prediction model, and the parameter deployment module configures the humidification parameters according to the output value of the prediction model.

[0012] The parameter deployment module sends the humidification parameters to the control system, the control system adjusts the humidification parameters of the humidification system, and the parameter deployment module simultaneously sends the configuration parameters to the display module, and the display module visualizes the data.

[0013] Further:

[0014] The humidity acquisition device sends the collected values to the data acquisition system, and the data acquisition system has pre-recorded paper holder specification model parameters.

[0015] Further:

[0016] The feeding mechanism comprises a rotating seat, a base, and a stand, the base is fixed on the rotating part of the rotating seat, the sliding assembly is slidably installed on the opposite sides of the stand, the gripper structure is installed on the sliding assembly, the gripper structure comprises a rotating cylinder and a grabbing bracket, the rotating cylinder is fixedly connected to the sliding assembly, the grabbing bracket is connected to the rotating part of the rotating cylinder, and the vacuum suction structure is connected to the grabbing bracket.

[0017] Further:

[0018] The humidity acquisition device comprises a support frame, a lifting assembly, and a data acquisition device, the support frame is used to support the lifting device, the data acquisition device is connected to the lifting end of the lifting assembly, when the paper holder passes through the support frame, the lifting assembly drives the data acquisition device to descend and contact the paper holder surface to collect the humidity of the paper holder.

[0019] Further:

[0020] The prediction model is a neural network model.

[0021] Further:

[0022] It further comprises an image recognition device, a sorting device, a defective product conveying device, a labeling conveying device, and a labeling machine.

[0023] The image recognition device is arranged at the output end of the conveying system, the labeling conveying device is arranged close to the output end of the conveying device, and the sorting device is arranged between the output end of the conveying system, the substandard product conveying device and the labeling conveying device.

[0024] The technical scheme of the working method of the pulp molding automatic production system is as follows:

[0025] The working method of the pulp molding automatic production system is characterized by comprising the following steps:

[0026] The working method comprises the following steps:

[0027] S1: The feeding mechanism grabs the paper tray on the molding machine body and places it on the conveying part of the conveying system;

[0028] S2: The conveying part of the conveying system drives the paper tray to pass through the drying system, and the drying system dries the entering paper tray;

[0029] S3: The conveying part of the conveying system drives the dried paper tray to enter below the support frame, and the lifting device drives the data collector to descend to contact the surface of the paper tray to collect humidity;

[0030] S4: The data collector sends the humidity data to the data collection system, the data collection system communicates with the data processing module, the data collection system sends the original characteristic value to the data processing module, the data processing module inputs the original characteristic value into the prediction model, and the parameter adjustment module adjusts the humidification parameter of the humidification system according to the output value of the prediction model;

[0031] S5: The conveying part of the conveying system drives the paper tray to enter the humidification system, and the humidification system humidifies the paper tray;

[0032] S6: The conveying part of the conveying system sends the paper tray to the hot-pressing system, and the hot-pressing system hot-presses the paper tray;

[0033] S7: The image recognition device recognizes the image of the paper tray, if the image recognition meets the index requirement, S8 is entered, otherwise, S9 is entered;

[0034] S8: The sorting device grabs the paper tray to the labeling conveying device, and the labeling conveying device drives the paper tray to the labeling machine device below for labeling treatment;

[0035] S9: The sorting device grabs the paper tray and puts it into the substandard product conveying device, and the substandard product conveying device is conveyed to the recycling system.

[0036] To better realize the present application, the following can be further improved:

[0037] The internal recognition model training process of the picture recognition device is as follows:

[0038] S1: collect a set of paper tray sample images with labels, which are saved into a training database as a training data set;

[0039] S2: the image processing module performs de-noising and smoothing preprocessing on the pictures in the training data set;

[0040] S3: for each picture in the set of paper tray sample images, the vector extraction module sequentially extracts the corresponding feature vector to obtain a vector data set;

[0041] S4: train the sorting model with the image features of the paper tray as input parameters and the corresponding label data as output parameters to obtain an image recognition model.

[0042] Further,

[0043] The image recognition device recognizes the paper tray image as follows:

[0044] S1: the image recognition device collects paper tray images in real time;

[0045] S2: the image recognition device sends the paper tray data to the control system, and the control system judges whether to grab the paper tray according to the received data;

[0046] S3: the image recognition device sends statistical data to the display module, and the display module visually displays the data of the batch of paper trays in real time.

[0047] The beneficial effects of the present application are: the overall structure is simple, through the automatic conveying, drying, humidifying, hot pressing system, and the image recognition and sorting device, the production efficiency is improved through the automatic processing of each link. Through the humidity collection device and the prediction model, the humidification parameters can be monitored and adjusted in real time to ensure that the paper tray is in the appropriate humidity range. At the same time, through the image recognition and sorting device, the quality detection and sorting are carried out, and the product efficiency is improved. The data collector is responsible for collecting the humidity data of the paper tray, the data acquisition system is responsible for receiving and processing the humidity data, and the original feature value is sent to the data processing module. The data processing module inputs the original feature value into the pre-trained prediction model, the prediction model adopts a neural network model, the parameter adjustment module receives the output value of the neural network model, processes and predicts the humidity data through the neural network model, and the prediction result is used to adjust the parameters of the humidification system. The output value is used to adjust the humidification parameters of the humidification system to ensure the targeted regulation of the humidity of each paper tray, thereby improving the product quality and reducing the waste rate. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 It is the overall structure diagram of the present application;

[0049] Figure 2 It is the control system block diagram of the present application;

[0050] Figure 3 Structure diagram of conveying system, feeding mechanism, drying system, humidifying system and hot-pressing system;

[0051] Figure 4 Structure diagram of conveying system, feeding mechanism and molding machine body;

[0052] Figure 5 Connection diagram of humidity collecting device and conveying system;

[0053] Figure 6 Structure diagram of feeding mechanism;

[0054] The accompanying drawings are as follows: conveying system 1, feeding mechanism 2, rotating seat 2-1, base 2-2, stand column 2-3, sliding assembly 2-4, rotating cylinder 2-5, grabbing support 2-6, vacuum adsorption structure 2-7, drying system 3, humidity collecting device 4, supporting frame 4-1, lifting assembly 4-2, data collector 4-3, humidifying system 5, hot-pressing system 6, image recognition device 7, sorting device 8, substandard product conveying device 9, labeling conveying device 10, labeling machine 11, paper tray 12 and molding machine body 13. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0056] As shown in Figures 1 to 6 :

[0057] A pulp molding automatic production system comprises a molding machine body 13, a conveying system 1, a feeding mechanism 2, a drying system 3, a humidity collecting device 4, a humidifying system 5 and a hot-pressing system 6, an image recognition device 7, a sorting device 8, a substandard product conveying device 9, a labeling conveying device 10 and a labeling machine 11, a data acquisition system, a data processing module, a prediction model, a parameter deployment module, a control system and a visualization module.

[0058] The molding machine body 13 is close to the input end of the conveying system, the feeding mechanism 2 is located between the conveying system and the molding machine body 13, and the feeding mechanism 2 is used for grabbing the paper tray 12 on the molding machine body 13 to the conveying part of the conveying system;

[0059] The drying system 3, the humidity collection device 4, the humidifying system 5 and the hot-pressing system 6 are sequentially arranged on the conveying system from the feeding end to the discharging end of the conveying system. The humidity collection device 4 sends the collected values to the data acquisition system, and the data acquisition system has pre-recorded the specification and model parameters of the paper tray 12.

[0060] The humidity collection device 4 comprises a support frame 4-1 for supporting the lifting device, and a data collector 4-3 connected to the lifting end of the lifting assembly 4-2. When the paper tray 12 passes through the support frame 4-1, the lifting assembly 4-2 drives the data collector 4-3 to descend and contact the surface of the paper tray 12 to collect the humidity of the paper tray 12.

[0061] The data acquisition system communicates with the data processing module, the data processing module inputs the processed data into the trained prediction model, and the parameter adjustment module adjusts the humidifying parameters according to the output value of the prediction model;

[0062] The parameter adjustment module sends the humidifying parameters to the control system, the control system adjusts the humidifying parameters of the humidifying system 5, and the parameter configuration module simultaneously sends the configuration parameters to the display module, and the display module visualizes the data.

[0063] The image recognition device 7 is arranged at the output end of the conveying system, the labeling conveying device 10 is close to the output end of the conveying device, and the sorting device 8 is located between the output end of the conveying system, the defective product conveying device 9 and the labeling conveying device 10.

[0064] Specifically, the feeding mechanism 2 and the sorting device 8 have consistent structures, and for the convenience of description, only the feeding mechanism 2 is analyzed and described here. The feeding mechanism 2 comprises a rotating seat 2-1, a base 2-2 and a stand 2-3. The base 2-2 is fixed on the rotating part of the rotating seat 2-1. The sliding assembly 2-4 is slidably and movably arranged on the opposite sides of the stand 2-3. The gripper structure is arranged on the sliding assembly 2-4. The gripper structure comprises a rotating cylinder 2-5 and a grabbing bracket 2-6. The rotating cylinder 2-5 is fixedly connected to the sliding assembly 2-4. The grabbing bracket 2-6 is connected to the rotating part of the rotating cylinder 2-5. The vacuum suction structure 2-7 is connected to the grabbing bracket 2-6.

[0065] The specific technical solutions of the working method of the pulp molding automatic production system are as follows:

[0066] The working method of the pulp molding automatic production system comprises the following processes:

[0067] S1: The loading mechanism 2 picks up the paper tray 12 on the molding machine body 13 and places it on the conveying part of the conveying system;

[0068] S2: The conveying part of the conveying system drives the paper tray 12 to pass through the drying system 3, which dries the entering paper tray 12;

[0069] S3: The conveying part of the conveying system drives the dried paper tray 12 to enter below the support frame 4-1, and the lifting device drives the data collector 4-3 to descend and contact the surface of the paper tray 12 to collect humidity;

[0070] S4: The data collector 4-3 sends the humidity data to the data acquisition system, which communicates with the data processing module. The data acquisition system sends the original characteristic value to the data processing module, which inputs the original characteristic value into the trained prediction model, which is a deep neural network model. The parameter adjustment module adjusts the humidification parameters of the humidification system 5 according to the output value of the neural network model;

[0071] S5: The conveying part of the conveying system drives the paper tray 12 into the humidification system 5, which humidifies the paper tray 12;

[0072] S6: The conveying part of the conveying system sends the paper tray 12 to the hot pressing system 6, which hot-presses the paper tray 12;

[0073] S7: The image recognition device 7 recognizes the image of the paper tray 12. If the image recognition meets the index requirements, it enters S8, otherwise it enters S9;

[0074] S8: The sorting device 8 picks up the paper tray 12 to the labeling conveying device 10, which drives the paper tray 12 to the labeling machine 11 device below for labeling processing;

[0075] S9: The sorting device 8 picks up the paper tray 12 and puts it into the defective product conveying device 9, which is conveyed to the recycling system.

[0076] The internal recognition model training process of the picture recognition device is as follows:

[0077] S1: Collect a set of paper tray 12 sample images with labels, and save them to a training database as a training data set;

[0078] S2: The image processing module performs de-noising and smoothing preprocessing on the pictures in the training data set;

[0079] S3: For each picture in the paper tray 12 sample image set, the vector extraction module sequentially extracts the corresponding feature vector to obtain a vector data set;

[0080] S4: training the sorting model with the image features of the paper tray 12 as input parameters and the corresponding label data as output parameters to obtain an image recognition model.

[0081] The process of the image recognition device 7 recognizing the image of the paper tray 12 is as follows:

[0082] S1: the image recognition device 7 collects the image of the paper tray 12 in real time;

[0083] S2: the image recognition device 7 sends the data of the paper tray 12 to the control system, and the control system determines whether to grab the paper tray 12 according to the received data;

[0084] S3: the image recognition device 7 sends the statistical data to the display module, and the display module visually displays the data of the batch of paper trays 12 in real time.

[0085] It is apparent for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, but can be implemented in other concrete forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered in all aspects as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and all changes falling within the meaning and range of the equivalent elements of the claims are intended to be included in the present application. Any reference signs in the claims should not be considered as limiting the claims involved.

[0086] Furthermore, it should be understood that although the present specification is described in terms of embodiments, not every embodiment contains only one independent technical solution, and the description of the specification is only for the sake of clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that those skilled in the art can understand.

Claims

1. A pulp molding automatic production system, comprising a molding machine body, characterized in that: further comprising a conveying system, a feeding mechanism, a drying system, a humidifying system and a hot-pressing system; the molding machine body is close to the input end of the conveying system, the feeding mechanism is located between the conveying system and the molding machine body, and the feeding mechanism is used for grabbing the paper tray on the molding machine body to the conveying part of the conveying system; the drying system, the humidity acquisition device, the humidifying system and the hot-pressing system are sequentially arranged on the conveying system from the input end to the output end of the conveying system; the humidity acquisition device sends the collected values to the data acquisition system, and the data acquisition system has pre-recorded the specification and model parameters of the paper tray; the feeding mechanism comprises a rotating seat, a base and a stand, the base is fixed on the rotating part of the rotating seat, the sliding assembly is slidably connected on the opposite sides of the stand, the grabbing mechanism is arranged on the sliding assembly, the grabbing mechanism comprises a rotating cylinder and a grabbing support, the rotating cylinder is fixedly connected on the sliding assembly, the grabbing support is connected on the rotating part of the rotating cylinder, and the vacuum adsorption structure is connected on the grabbing support; the humidity acquisition device comprises a supporting frame, a lifting assembly and a data collector, the supporting frame is used for supporting the lifting assembly, and the data collector is connected on the lifting end of the lifting assembly; when the paper tray passes through the supporting frame, the lifting assembly drives the data collector to descend to contact the surface of the paper tray to collect the humidity of the paper tray.

2. The pulp molding automatic production system according to claim 1, characterized in that: comprising a data acquisition system, a data processing module, a prediction model, a parameter deployment module, a control system and a visualization module; the data acquisition system communicates with the data processing module, the data processing module inputs the processed data into the trained prediction model, and the parameter deployment module deploys the humidifying parameters according to the output values of the prediction model; the parameter deployment module sends the humidifying parameters to the control system, the control system adjusts the humidifying parameters of the humidifying system, the parameter deployment module simultaneously sends the configuration parameters to the display module, and the display module visualizes and displays the data.

3. The pulp molding automatic production system according to claim 2, characterized in that: the prediction model is a neural network model.

4. The pulp molding automatic production system according to claim 3, characterized in that: further comprising an image recognition device, a sorting device, a defective product conveying device, a labeling conveying device and a labeling machine; the image recognition device is arranged at the output end of the conveying system, and the sorting device is located between the output end of the conveying system, the defective product conveying device and the labeling conveying device.

5. A working method of the pulp molding automatic production system according to claim 4, characterized in that: comprising the following process: S1: the feeding mechanism grabs the paper tray on the molding machine body and places it on the conveying part of the conveying system; S2: the conveying part of the conveying system drives the paper tray to pass through the drying system, and the drying system dries the entering paper tray. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ S3: The conveying part of the conveying system drives the dried paper tray into the support frame below, and the lifting assembly drives the data collector to descend and contact the paper tray surface to collect the humidity; S4: The data collector sends the humidity data to the data acquisition system, which communicates with the data processing module. The data acquisition system sends the original characteristic value to the data processing module, which inputs the original characteristic value into the prediction model. The parameter adjustment module adjusts the humidification parameters of the humidification system according to the output value of the prediction model; S5: The conveying part of the conveying system drives the paper tray into the humidification system, which humidifies the paper tray; S6: The conveying part of the conveying system sends the paper tray to the hot pressing system, which hot presses the paper tray; S7: The image recognition device recognizes the paper tray image. If the image recognition meets the index requirements, go to S8, otherwise, go to S9; S8: The sorting device grabs the paper tray to the labeling conveying device, which drives the paper tray to the labeling machine device below for labeling processing; S9: The sorting device grabs the paper tray and puts it into the defective product conveying device, which is conveyed to the recycling system.

6. The working method of the paper pulp molding automatic production system according to claim 5, characterized in that: The internal recognition model training process of the image recognition device is as follows: S1: Collect a set of paper tray sample images with labels, and save them to a training database as a training data set; S2: The image processing module performs de-noising and smoothing preprocessing on the images in the training data set; S3: For each image in the paper tray sample image set, the vector extraction module extracts the corresponding feature vector in sequence to obtain a vector data set; S4: Train the sorting model using the image features of the paper tray as input parameters and the corresponding label data as output parameters to obtain the image recognition model.

7. The working method of the paper pulp molding automatic production system according to claim 6, characterized in that: The process of the image recognition device recognizing the paper tray image is as follows: S1: The image recognition device collects paper tray images in real time; S2: The image recognition device sends the paper tray data to the control system, which determines whether to grab the paper tray based on the received data; S3: The image recognition device sends statistical data to the display module, which visually displays the data of the batch of paper trays in real time.

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