Single board moisture testing and sorting system and method based on microwave transmission

Abstract

The invention discloses a veneer moisture testing and sorting system and method based on microwave transmission, and belongs to the field of microwave detection. According to the invention, a wide-spectrum microwave moisture detection technology based on AI digital-intelligent fusion is adopted to carry out continuous and accurate moisture detection on single boards, and through combination of a single board feeding control execution assembly and a single board grade sorting execution assembly, the continuous moisture detection data of each single board and the single board feeding and grade sorting linkage control execution assembly are combined; on-line high-speed detection of the moisture content of the veneers and sorting of the veneers of different grades are achieved, and the problems that existing detection of the moisture content of the veneers can only be conducted off line, sampling inspection is not accurate, and testing is not accurate are solved.

Description

Technical Field

[0001] The invention belongs to the field of microwave detection, and in particular relates to a single board moisture testing and sorting system and method based on microwave transmission. Background Art

[0002] In production and life, quantitative measurement of moisture has been listed as one of the basic items of physical and chemical analysis of various materials, and is an important part of quality assessment. In wood production, accurate measurement and control of the moisture content of various types of wood and boards has important economic significance and application value for product production, storage and quality assurance. For veneers, from the perspective of gluing alone, if the moisture content of the veneer is too high, the gluing strength is not good, and during the use of the plywood, it is easy to produce defects such as degumming, deformation, and surface cracks; veneers with too low moisture content will affect the gluing strength due to the reduction of active hydroxyl groups in the wood and damage to the surface fibers of the veneer. Good gluing strength can be obtained when the moisture content of the veneer is within the range of 5-15%.

[0003] At present, the main method for testing the moisture content of veneers is offline sampling detection, such as the oven method, the resistance moisture measurement method and the dielectric constant method. Among them, the oven method and the resistance moisture measurement method can only perform sampling detection, which is difficult to meet the needs of continuous testing of veneer moisture on the production line; the dielectric constant method is prone to offset and can only show the increase and decrease trend of moisture content, and cannot be tested quantitatively. The microwave online transmission moisture detection device spans the upper and lower parts of the wood veneer conveyor device, measures the moisture content of the wood veneer on the conveyor line, completely penetrates the veneer, and realizes real-time, online, non-contact moisture measurement. Through the principle of microwave transmission, the moisture information of the wood veneer is timely detected and fed back, and the veneer is then sorted by category. Summary of the invention

[0004] In view of the above technical problems existing in the prior art, the present invention proposes a single board moisture testing and sorting system and method based on microwave transmission, which has a reasonable design, overcomes the shortcomings of the prior art, and has good effects.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A single board moisture testing and sorting system based on microwave transmission, comprising an AI digital intelligence fusion wide-spectrum microwave moisture detection device, a single board on-board execution component, and a single board grade sorting execution component; the single board on-board execution component, the AI ​​digital intelligence fusion wide-spectrum microwave moisture detection device, and the single board grade sorting execution component are connected in sequence through lines;

[0007] The single board on-board execution component is configured to transmit the single board to the wide-spectrum microwave moisture detection device for AI digital intelligence fusion;

[0008] The AI ​​digital intelligence fusion wide spectrum microwave moisture detection device is configured to calculate the moisture content of the single board through the model algorithm and transmit it to the single board grade sorting execution component;

[0009] The single board grade sorting execution component is configured to sort and organize the single boards into grades.

[0010] Preferably, the wide-spectrum microwave moisture detection device based on AI digital intelligence fusion includes a first photoelectric sensor, a transceiver antenna, a belt conveyor line, a microwave module, a digital processing module and a control module;

[0011] A first photoelectric sensor is configured to monitor the position of a single board in real time;

[0012] A transceiver antenna is configured to receive and transmit microwave signals;

[0013] A belt conveyor line is configured to convey single boards to be inspected and sorted;

[0014] The microwave module includes a first PLC control unit; configured to collect the amplitude and phase of the microwave signal and calculate the moisture content of the single board through a model algorithm;

[0015] A digital processing module is configured to process the microwave signal;

[0016] The control module is configured to receive and send control functions of single board position detection signals and belt conveyor line control instructions.

[0017] Preferably, the single board mounting execution assembly includes a single board placement rack, a pneumatic gripping device, a roller conveyor line, a second photoelectric sensor, and a second PLC control unit;

[0018] A single board placement rack is configured to place single boards;

[0019] A pneumatic gripping device is configured to grip the veneer and grab the veneer to the roller conveyor line;

[0020] A roller conveyor line is configured to convey the single board to the second photoelectric sensor;

[0021] A second photoelectric sensor is configured to monitor the position of the single board in real time;

[0022] The second PLC control unit is configured to control the timing of the pneumatic grasping device grasping the single board each time and the conveying speed of the roller conveyor line.

[0023] Preferably, the single board grade sorting execution component includes a third photoelectric sensor, a negative pressure conveying line, a grade sorting execution module, a single board collection and sorting module and a third PLC control unit;

[0024] A third photoelectric sensor is configured to monitor the position of the single board in real time;

[0025] A negative pressure conveyor line is configured to convey the single board to the grade sorting execution component;

[0026] The grade sorting execution module is configured to start the motor in the grade sorting execution component to place the single board on the corresponding grade bracket according to the single board moisture content and the single board position information detected by the third photoelectric sensor;

[0027] A single board collection and sorting module is configured to sort the single boards;

[0028] The third PLC control unit is configured to control the grade sorting execution component to perform classification by grade, and control the single board collecting and sorting component to sort the classified single boards.

[0029] Preferably, the roller conveyor line adopts a multi-layer design to carry out single board grabbing in different time periods.

[0030] In addition, the present invention also mentions a single board moisture detection method based on microwave transmission, which adopts the single board moisture detection system based on microwave transmission as described above, and specifically includes the following steps:

[0031] Step 1: The single board is transmitted to the AI ​​digital intelligence fusion wide spectrum microwave moisture detection device through the single board on-board execution component;

[0032] Step 2: The AI-based wide-spectrum microwave moisture detection device calculates the moisture content of the board through a model algorithm and transmits it to the board grade sorting execution component;

[0033] Step 3: Use the board grade sorting execution component to sort and organize the boards.

[0034] Beneficial technical effects brought by the present invention:

[0035] The present invention adopts time-division multiplexing logic control, wide-spectrum multi-band microwave scanning signal source + ultra-wideband high-gain onboard antenna + digital intermediate frequency digital processing technology, and a single board moisture content measurement algorithm modeling technology combining multiple traditional machine learning + AI. It integrates AI digital intelligence fusion wide-spectrum microwave moisture detection equipment, single board upper and lower board execution components, single board grade sorting execution components, single board photoelectric position sensors and other electromechanical signals, and combines them into a set of fully automatic single board moisture inspection system, which solves the problem that single board moisture detection can only be done offline and in a random sampling manner, and provides an online single board moisture detection technology, which can be linked with the upper board execution component and the single board grade sorting execution device to perform all-round moisture detection and grade sorting on all single boards on the production line, replacing offline random sampling and manual sorting, optimizing the process level, improving quality, increasing production and reducing consumption, and realizing high-precision, fast, non-destructive and non-contact detection, which can meet the real-time moisture control needs of digital workshops. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a principle block diagram of a single board moisture testing and sorting system based on microwave transmission of the present invention;

[0037] Figure 2 This is a hardware principle block diagram of the wide-spectrum microwave moisture detection device based on AI digital intelligence fusion of the present invention;

[0038] Figure 3 This is a relationship block diagram of the algorithm research of the wide-spectrum microwave moisture detection device based on AI digital intelligence fusion of the present invention;

[0039] Figure 4 This is a schematic diagram of the structure of a wide-spectrum microwave moisture detection device based on AI digital intelligence fusion of the present invention;

[0040] Among them, 1-profile assembly; 2-sensor; 3-sensor bracket; 4-bracket; 5-controller; 6-controller mounting plate; 7-angled profile; 8-antenna connecting plate; 9-antenna assembly; 10-conveying device. DETAILED DESCRIPTION

[0041] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments:

[0042] like Figure 1 As shown, a single board moisture testing and sorting system based on microwave transmission includes a wide-spectrum microwave moisture detection device with AI digital intelligence fusion, a single board on-board execution component, and a single board grade sorting execution component; the single board on-board execution component, the wide-spectrum microwave moisture detection device with AI digital intelligence fusion, and the single board grade sorting execution component are connected in sequence through lines;

[0043] The on-board execution component of the single board is used to transmit the single board to the wide-spectrum microwave moisture detection device with AI digital intelligence fusion;

[0044] AI digital intelligence fusion wide-spectrum microwave moisture detection device is used to calculate the moisture content of the single board through the model algorithm and transmit it to the single board grade sorting execution component;

[0045] The single board grade sorting execution component is used to grade and sort the single boards.

[0046] The single board to be tested is placed on the placement rack. After the sorting system is started, the pneumatic grabbing device of the single board upper and lower board execution component grabs the single board in layers to the roller conveyor line. The photoelectric sensor monitors the position of the single board in real time. Through PLC programming, the timing of grabbing the single board each time and the transmission speed of the roller conveyor line are controlled so that the two do not interfere with each other. The single board is sent to the middle of the transceiver antenna of the microwave moisture detection system. The photoelectric sensor of the wide-spectrum microwave moisture detection system based on AI digital intelligence fusion monitors the position of the single board in real time. Through PLC programming, it communicates with the microwave control circuit. The photoelectric microwave signal source transmits signals and receives microwave signals transmitted through the single board. The amplitude and phase of the microwave signal are collected, and the moisture content of the single board is calculated through the model algorithm, and transmitted to the human-machine interaction system and PLC control unit. After the single board passes through the microwave detection system, it enters the negative pressure conveyor line. The single board grade sorting execution component starts the motor in the grade sorting device according to the moisture content of the single board and the single board position information detected by the photoelectric sensor to place the single board on the corresponding grade bracket. At the same time, the single board collection and sorting component will be started to sort the single board.

[0047] A wide-spectrum microwave moisture detection device based on AI digital intelligence fusion, including a first photoelectric sensor, a transceiver antenna, a belt conveyor line, a microwave module, a digital processing module and a control module;

[0048] A first photoelectric sensor is configured to monitor the position of a single board in real time;

[0049] A transceiver antenna is configured to receive and transmit microwave signals;

[0050] A belt conveyor line is configured to convey single boards to be inspected and sorted;

[0051] The microwave module includes a first PLC control unit; configured to collect the amplitude and phase of the microwave signal and calculate the moisture content of the single board through a model algorithm;

[0052] A digital processing module is configured to process the microwave signal;

[0053] The control module is configured to receive and send control functions of single board position detection signals and belt conveyor line control instructions.

[0054] A single board mounting execution assembly, including a single board placement rack, a pneumatic gripping device, a roller conveyor line, a second photoelectric sensor, and a second PLC control unit;

[0055] A single board placement rack is configured to place single boards;

[0056] A pneumatic gripping device is configured to grip the veneer and grab the veneer to the roller conveyor line;

[0057] A roller conveyor line is configured to convey the single board to the second photoelectric sensor;

[0058] A second photoelectric sensor is configured to monitor the position of the single board in real time;

[0059] The second PLC control unit is configured to control the timing of the pneumatic grasping device grasping the single board each time and the conveying speed of the roller conveyor line.

[0060] A single board grade sorting execution component, including a third photoelectric sensor, a negative pressure conveying line, a grade sorting execution module, a single board collection and sorting module and a third PLC control unit;

[0061] A third photoelectric sensor is configured to monitor the position of the single board in real time;

[0062] A negative pressure conveyor line is configured to convey the single board to the grade sorting execution component;

[0063] The grade sorting execution module is configured to start the motor in the grade sorting execution component to place the single board on the corresponding grade bracket according to the single board moisture content and the single board position information detected by the third photoelectric sensor;

[0064] A single board collection and sorting module is configured to sort the single boards;

[0065] The third PLC control unit is configured to control the grade sorting execution component to perform classification by grade, and control the single board collecting and sorting component to sort the classified single boards.

[0066] like Figure 2 As shown, the single board moisture detection system of the present invention includes a first photoelectric sensor, a transceiver antenna, a belt conveyor line, a microwave module, a digital processing module and a control module. The single board moisture test system is installed on the single board conveyor belt, and the ultra-wideband transceiver antenna is installed in an up-and-down manner. The antenna can be divided into multiple groups or a single group as needed. The microwave sweep signal source transmits a microwave signal, which is transmitted through the single board to be tested by the transmitting antenna. The microwave signal is received by the receiving antenna and sent to the signal receiving and analyzing module. The changes in the amplitude and phase of the microwave signal are collected and stored in the corresponding collection system. Based on the actual moisture content of the single board, modeling and algorithm optimization are performed, thereby realizing continuous online testing of the moisture content of the single board.

[0067] like Figure 3As shown, the algorithm research of the present invention mainly includes three parts: data set construction, model training and comparison, and moisture prediction. The microwave amplitude phase and other data are obtained by scanning the single board with different thickness and different moisture content, and the real moisture content of the material is obtained by the oven method to construct the original data set. After the original data is pre-processed by filtering, normalization and other operations, the high-quality measurement frequency band is screened by the recursive feature elimination method to reduce the dimension of the data set and improve the speed. Single board moisture prediction belongs to a regression task, and automatic training can be performed to search for the best regression model type, including linear regression model, regression tree, Gaussian process regression model, support vector machine, efficient training linear regression model, kernel approximation model, regression tree integration and neural network regression model. By providing a set of known input data observations (predicted variables) and known responses, supervised machine learning is performed. The model is trained using the observations to generate predicted responses for new input data. The constructed data set is input into the regression learner, different regression models are selected for training, and a model suitable for single board moisture detection is selected.

[0068] like Figure 4 As shown, the structure of the wide-spectrum microwave moisture detection device based on AI digital intelligence fusion of the present invention includes a profile component 1, a sensor 2, a sensor bracket 3, a bracket 4, a controller 5, a controller mounting plate 6, an angled profile 7, an antenna connecting plate 8, an antenna component 9 and a conveying device 10. The profile component 1 spans over the conveying device 10, and multiple groups of antenna components 9 are arranged above and below the conveying device 10. The profile component 1 is composed of aluminum profiles or steel sections with sufficient strength, including a left column, an upper beam, a right column, a lower beam, a ground support component, and a profile bracket; the profile component 1 is fixedly connected by the profile bracket, and the profile component 1 is fixedly connected to the ground by the ground support component, and can also be fixedly connected to the conveying device 10 by welding process or profile bracket. The sensor 2 is fixedly connected to the profile assembly 1 through the sensor bracket 3. The bracket 4 is used to fix the angled profile 7 to the profile assembly 1. The angled profile 7 maintains a certain angle with the profile assembly 1. The antenna connecting plate 8 is used to fix the antenna assembly 9 to the angled profile 7. The controller mounting plate 6 is used to fix the controller 5 to the profile assembly 1.

[0069] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by technicians in this technical field within the essential scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. A single board moisture testing and sorting system based on microwave transmission, characterized by: It includes a wide-spectrum microwave moisture detection device integrated with AI digital intelligence, a single board on-board execution component, and a single board grade sorting execution component; the single board on-board execution component, the wide-spectrum microwave moisture detection device integrated with AI digital intelligence, and the single board grade sorting execution component are connected in sequence through lines; The single board on-board execution component is configured to transmit the single board to the wide-spectrum microwave moisture detection device for AI digital intelligence fusion; The AI ​​digital intelligence fusion wide spectrum microwave moisture detection device is configured to calculate the moisture content of the single board through the model algorithm and transmit it to the single board grade sorting execution component; The single board grade sorting execution component is configured to sort and organize the single boards into grades.

2. The single board moisture detection system based on microwave transmission according to claim 1 is characterized in that: A wide-spectrum microwave moisture detection device based on AI digital intelligence fusion, including a first photoelectric sensor, a transceiver antenna, a belt conveyor line, a microwave module, a digital processing module and a control module; A first photoelectric sensor is configured to monitor the position of a single board in real time; A transceiver antenna is configured to receive and transmit microwave signals; A belt conveyor line is configured to convey single boards to be inspected and sorted; The microwave module includes a first PLC control unit; configured to collect the amplitude and phase of the microwave signal and calculate the moisture content of the single board through a model algorithm; A digital processing module is configured to process the microwave signal; The control module is configured to receive and send control functions of single board position detection signals and belt conveyor line control instructions.

3. The single board moisture detection system based on microwave transmission according to claim 1 is characterized in that: A single board mounting execution assembly, including a single board placement rack, a pneumatic gripping device, a roller conveyor line, a second photoelectric sensor, and a second PLC control unit; A single board placement rack is configured to place single boards; A pneumatic gripping device is configured to grip the veneer and grab the veneer to the roller conveyor line; A roller conveyor line is configured to convey the single board to the second photoelectric sensor; A second photoelectric sensor is configured to monitor the position of the single board in real time; The second PLC control unit is configured to control the timing of the pneumatic grasping device grasping the single board each time and the conveying speed of the roller conveyor line.

4. The single board moisture detection system based on microwave transmission according to claim 1 is characterized in that: A single board grade sorting execution component, including a third photoelectric sensor, a negative pressure conveying line, a grade sorting execution module, a single board collection and sorting module and a third PLC control unit; A third photoelectric sensor is configured to monitor the position of the single board in real time; A negative pressure conveyor line is configured to convey the single board to the grade sorting execution component; The grade sorting execution module is configured to start the motor in the grade sorting execution component to place the single board on the corresponding grade bracket according to the single board moisture content and the single board position information detected by the third photoelectric sensor; A single board collection and sorting module is configured to sort the single boards; The third PLC control unit is configured to control the grade sorting execution component to perform classification by grade, and control the single board collecting and sorting component to sort the classified single boards.

5. The single board moisture detection system based on microwave transmission according to claim 1 is characterized in that: The roller conveyor line adopts a multi-layer design and picks up single boards in different time periods.

6. A single board moisture detection method based on microwave transmission, characterized in that: The single board moisture detection system based on microwave transmission as claimed in claim 1 specifically comprises the following steps: Step 1: The single board is transmitted to the AI ​​digital intelligence fusion wide spectrum microwave moisture detection device through the single board on-board execution component; Step 2: The AI-based wide-spectrum microwave moisture detection device calculates the moisture content of the board through a model algorithm and transmits it to the board grade sorting execution component; Step 3: Use the board grade sorting execution component to sort and organize the boards.

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