A running device for processing bamboo-wood floor and a method of using the same

Abstract

This invention discloses a processing device for bamboo and wood flooring and its usage method, relating to the technical field of flooring processing equipment. This processing device for bamboo and wood flooring achieves high-speed and accurate detection and intelligent sorting of the moisture content of the boards by setting up multi-level detection units arranged sequentially along the conveying direction, combined with a control unit and an execution sorting unit. First, a primary detection unit performs rapid non-contact scanning to efficiently screen out obviously qualified or suspicious boards. For suspicious boards, a secondary detection unit is activated for precise contact retesting and surface visual inspection. The control unit comprehensively processes the data from both levels, makes an accurate quality judgment, and instructs the execution sorting unit to complete the automatic sorting. This process of coarse screening, fine inspection, decision-making, and execution solves the problem of the inability to balance speed and accuracy in traditional detection methods.

Description

Technical Field

[0001] This invention relates to the field of flooring processing equipment technology, specifically to a rotating device for bamboo and wood flooring processing and its usage method. Background Technology

[0002] As a natural and environmentally friendly decorative material, the quality of bamboo and wood flooring is closely related to the moisture content of the boards. Excessive moisture content can easily lead to deformation, warping, or mold growth during later use, while insufficient moisture content may cause cracking. Therefore, it is necessary to test the moisture content of the boards during processing. Currently, the bamboo and wood flooring processing industry mainly relies on two methods for testing the moisture content of the boards: one is offline sampling testing, which involves randomly selecting several samples from a batch of boards and manually measuring them using a handheld contact moisture meter, inferring the overall batch quality based on the sampling results; the other is using a simple online testing device, typically setting a single moisture sensor (contact or non-contact) at a fixed point on the conveyor line to measure the moisture content of each board passing through. These existing technologies form the basis of quality control in this field.

[0003] However, existing testing methods have the following problems in practical applications: offline sampling inspection cannot achieve 100% inspection of all boards, posing a risk of missed quality inspections; and the representativeness of sampling results is affected by human factors, failing to reflect the true state of each board on the production line in real time. While existing online inspection methods achieve board-by-board inspection, they cannot balance speed and accuracy: non-contact sensors are fast and do not affect production cycle, but the measurement results are easily affected by differences in board surface cleanliness, temperature, and density, and their accuracy and ability to judge uneven internal moisture content are limited; contact sensors have high measurement accuracy, but the measurement speed is slow, requiring pauses or contact, which severely restricts the speed of the production line, and frequent contact may cause slight damage to the board surface. Moreover, whether it is sampling or single-point online inspection, the inspection data usually exists independently and cannot be linked to subsequent batch quality statistical analysis and preceding drying processes, making it difficult to optimize the preceding drying process and trace the quality of the product. To address the shortcomings of existing technologies, this invention provides a bamboo and wood flooring processing equipment and its usage method to solve the above problems. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a processing device and method for bamboo and wood flooring. By setting up multi-level detection units arranged sequentially along the conveying direction and combining them with a control unit and an execution sorting unit, it achieves high-speed and accurate detection and intelligent sorting of the moisture content of the boards. First, a primary detection unit performs rapid non-contact scanning to efficiently screen out obviously qualified or suspicious boards. For suspicious boards, a secondary detection unit is activated for precise contact retesting and surface visual inspection. The control unit comprehensively processes the data from both levels, makes an accurate quality judgment, and instructs the execution sorting unit to complete the automatic sorting. This process of coarse screening, fine inspection, decision-making, and execution solves the problem of the inability to balance speed and accuracy in traditional detection methods. It enables reliable assessment and automatic grading of the moisture content of each board without significantly reducing the production line speed, thereby improving the level of quality control and the degree of production automation.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a rotating device for processing bamboo and wood flooring, comprising: Conveying unit, used to convey sheet metal along a preset path; A multi-stage detection unit is arranged sequentially along the conveying direction of the conveying unit to perform progressive detection of the moisture content of the board material from coarse to fine and generate corresponding detection data. A control unit, communicatively connected to the multi-level detection unit, is used to receive and process the detection data, and generate control commands based on the processing results; and The sorting unit is connected to the control unit and is located downstream of the conveying unit. It is used to receive the control commands and sort the boards to the target path that matches the detection data.

[0006] Preferably, the multi-level detection unit includes a primary detection unit, which includes at least one non-contact moisture content sensor. The non-contact moisture content sensor is positioned above the conveying unit and is used to quickly scan the moisture content of the passing board material to obtain first moisture content data.

[0007] Preferably, the multi-level detection unit further includes a secondary detection unit, which includes a lifting mechanism and at least one contact moisture sensor mounted on the lifting mechanism. The control unit is configured to: when the first moisture content data exceeds a preset qualified range or uniformity threshold, control the lifting mechanism to drive the contact moisture sensor to press down, so as to perform contact measurement on a specified point of the board to obtain the second moisture content data.

[0008] Preferably, the target path includes a qualified product path, a manual confirmation path, and a non-qualified product path; a storage area is provided at the qualified product path, the storage area includes shelves and the shelves are located below the sorting unit.

[0009] Preferably, the control unit is further configured to: statistically analyze the batch moisture content pass rate and deviation trend based on the first moisture content data and / or the second moisture content data; and generate drying parameter adjustment instructions based on the deviation trend to control the upstream drying equipment in a coordinated manner.

[0010] Preferably, the secondary detection unit further includes a vision sensor integrated on the lifting mechanism, used to acquire images of surface defects of the board material before or during the pressing of the contact moisture sensor; the control unit is also configured to generate the control command by combining the second moisture content data and the image acquisition results.

[0011] Preferably, an electronic tag is provided on the board material; an information reader / writer is also provided at the entrance of the conveying unit, the information reader / writer is connected to the control unit, and is used to associate the unique identifier of the board material, the detection data and the final sorting path information into the corresponding electronic tag.

[0012] Preferably, the sorting unit includes a gantry robot located at a path fork, the gantry robot being electrically driven and its movements controlled by the control commands of the control unit.

[0013] Preferably, the conveying unit is equipped with a dust collection device upstream of the detection area of ​​the primary detection unit to remove floating dust and foreign objects from the surface of the board.

[0014] This invention also discloses a method of using a rotating device for processing bamboo and wood flooring, which is applied to the rotating device for processing bamboo and wood flooring. The method of use includes the following steps: Step S1: The sheet material is continuously conveyed forward by the conveying unit; Step S2: The moisture content of the conveyed board is progressively detected using a multi-level detection unit, and the detection data is sent to the control unit. Step S3: The control unit processes the detection data and determines the quality grade and target path of the board material according to preset rules, and generates corresponding control commands. Step S4: The sorting unit, according to the control command, sorts the board to the corresponding target path when it reaches the path fork point; In step S5, the control unit analyzes the moisture content change trend based on the detection data of multiple consecutive plates and generates feedback instructions for adjusting the process parameters of the upstream drying equipment.

[0015] The technical effects and advantages of this invention are as follows: 1. This bamboo and wood flooring processing equipment, through the arrangement of multiple detection units along the conveying direction, combined with a control unit and a sorting unit, achieves high-speed and accurate detection and intelligent sorting of the moisture content of the boards. First, a primary detection unit performs rapid non-contact scanning to efficiently screen out obviously qualified or suspicious boards. For suspicious boards, a secondary detection unit is activated for precise contact retesting and surface visual inspection. The control unit comprehensively processes the data from both levels, makes an accurate quality judgment, and instructs the sorting unit to complete automatic sorting. This process of coarse screening, fine inspection, decision-making, and execution solves the problem of balancing speed and accuracy in traditional detection methods. It enables reliable assessment and automatic grading of the moisture content of each board without significantly reducing the production line speed, thus improving quality control and production automation.

[0016] 2. This bamboo and wood flooring processing equipment, through the integrated data analysis and instruction generation functions of the control unit, and the cooperation between the information reader / writer and the execution sorting unit, realizes the control of production quality and the traceability of data throughout the entire process. The control unit not only processes single-board data for sorting, but also calculates the batch qualification rate, analyzes the trend of moisture content deviation, and generates drying parameter adjustment instructions to feed back to upstream equipment, forming a feedback adjustment from detection to process optimization, which helps to stabilize and improve the overall product quality.

[0017] 3. The bamboo and wood flooring processing equipment uses an information reader to associate test data, sorting results, and the unique identifier of the boards into electronic tags. Combined with the precise actions of the sorting unit, it ensures that the quality information of each board accurately corresponds to its sorting location, providing data for product quality traceability and production management optimization. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is the front view of the present invention; Figure 3 This is a schematic diagram of the structure of the multi-stage detection unit of the present invention; Figure 4 This is a top view of the target path of the present invention; Figure 5 This is a schematic diagram of the structure of the control unit of the present invention; Figure 6 This is a detailed architecture diagram of the multi-level detection unit of the present invention; Figure 7 This is a logic diagram for moisture content detection and sorting in this invention; Figure 8 This is a flowchart of the method of using the present invention.

[0020] In the diagram: 100, Conveying unit; 101, Qualified product path; 102, Manual confirmation path; 103, Unqualified product path; 110, Information reader / writer; 120, Dust collection device; 200, Multi-level detection unit; 210, Primary detection unit; 211, Non-contact moisture content sensor; 220, Secondary detection unit; 221, Lifting mechanism; 222, Contact moisture content sensor; 223, Vision sensor; 300, Control unit; 400, Sorting execution unit; 410, Gantry crane; 500, Storage area; 510, Shelving. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] This embodiment discloses a rotating device for processing bamboo and wood flooring, according to the attached... Figure 1 To be continued Figure 8 As shown, the assembly line includes a conveying unit 100, a multi-level detection unit 200, a control unit 300, and an execution sorting unit 400 arranged along the board processing production line. The conveying unit 100 is used to continuously and smoothly convey boards, such as bamboo flooring or wood flooring blanks, along a preset straight or branched path. The multi-level detection units 200 are arranged sequentially along the conveying direction of the conveying unit 100. The multi-level detection units 200 are used to perform a progressive detection of the moisture content of the passing boards, from a preliminary rapid scan to a local precise measurement, and generate corresponding multi-level detection data. The control unit 300 is connected to the multi-level detection units 200 and related upstream / downstream equipment via wired or wireless communication. It is used to receive, process, and analyze the detection data, and generate corresponding control commands according to the preset quality judgment logic. The execution sorting unit 400 is located downstream of the path of the conveying unit 100 and at the path branch. The execution sorting unit 400 receives the control commands from the control unit 300 and performs physical actions to sort the detected boards to the target path that matches their final detection results, thereby realizing automated and intelligent quality grading and sorting.

[0023] The conveying unit 100 preferably uses a roller conveyor or belt conveyor, driven by a servo motor or variable frequency motor to ensure adjustable conveying speed and smooth operation, preventing the boards from shifting or jumping during inspection and sorting. Near the entrance of the conveying unit 100, an information reader 110 is installed. The information reader 110 is electrically connected to the control unit 300. The information reader 110 is used to read the unique identification information, such as RFID tags, from the electronic tags pre-attached to the boards, and can write the key data obtained during the inspection to the electronic tag after the inspection and sorting process is completed. Key data may include the final moisture content value, detection time, determined quality grade, and final sorting path information, establishing a traceable digital file for each board. Furthermore, on the conveying unit 100, upstream of the first-level detection area in the multi-level detection unit 200, a dust collection device 120 is also installed. The dust collection device 120 typically includes a dust collection hood and a fan duct connected to it. Its function is to powerfully remove floating dust, wood chips, and other foreign objects from the surface of the board before it enters the detection area, ensuring that the subsequent non-contact sensor measurements are not interfered with by surface contamination, thereby improving detection accuracy and reliability.

[0024] According to the appendix Figure 3 Appendix Figure 6 and attached Figure 7 As shown, the multi-level detection unit 200 specifically includes a primary detection unit 210 and a secondary detection unit 220. The primary detection unit 210 serves as a preliminary and rapid screening stage, including at least one non-contact moisture content sensor 211. The non-contact moisture content sensor 211 is typically based on infrared, microwave, or radio frequency principles. It is mounted above the conveying unit 100 via a bracket, and the sensor's detection area covers the entire width of the conveying line. When the board passes beneath it at a constant speed, the non-contact moisture content sensor 211 performs a transverse scanning line measurement on the entire upper surface of the board, quickly acquiring the first moisture content data representing the overall moisture content of the board. This process does not contact the board and does not affect the conveying rhythm.

[0025] Furthermore, the secondary detection unit 220, as a sub-unit for precise verification and diagnosis of suspicious boards, is located downstream of the primary detection unit 210. The secondary detection unit 220 includes a precision-controlled lifting mechanism 221 and at least one contact moisture sensor 222 mounted on the end of the lifting mechanism 221. The lifting mechanism 221 can be a combination of an electric cylinder, pneumatic cylinder, or servo electric cylinder with a linear guide to ensure precise and stable vertical movement. The contact moisture sensor 222 is typically a needle-type or flat electrode type, requiring good contact with the wood surface to obtain accurate readings. The control unit 300 is pre-configured with a moisture content acceptable range and a uniformity threshold; for example, the difference between the maximum and minimum moisture content along the length of the board should not exceed 2%. When the control unit 300 receives the first moisture content reading from the primary detection unit 210... After the moisture content data is collected, a real-time judgment is made: if the first moisture content data is completely within the preset qualified range and has good uniformity, it is judged as initially qualified and no secondary detection is required; if the first moisture content data exceeds the qualified range, or although the average value is qualified but the uniformity is poor, that is, the internal or surface moisture content distribution is uneven and there is a potential risk of deformation, the control unit 300 will immediately send a command to the lifting mechanism 221 of the secondary detection unit 220. At this time, the board has been transported to the designated position below the secondary detection unit 220 and can be positioned by an encoder or photoelectric sensor. The lifting mechanism 221 drives the contact moisture sensor 222 to press down, so that the probe or electrode plate of the contact moisture sensor 222 makes reliable contact with one or more designated points on the surface of the board to perform fixed-point measurement, thereby obtaining more accurate and reliable second moisture content data.

[0026] According to the appendix Figure 3 and attached Figure 6 As shown, the secondary detection unit 220 also includes a vision sensor 223 integrated on the lifting mechanism 221, such as an industrial camera with a ring light source. The installation position of the vision sensor 223 enables it to clearly capture the area of ​​the board material that the contact moisture sensor 222 is about to contact or is currently contacting. The control unit 300 can be configured to trigger the vision sensor 223 to acquire high-resolution images of the board surface during the pressing process of the lifting mechanism 221 or during a brief pause before pressing down. This is mainly used to identify surface defects such as cracks, knots, decay, and discoloration. The image processing algorithm integrated in the control unit 300 will analyze the acquired images. Finally, the control unit 300 will combine the second moisture content data and the image acquisition and analysis results of the vision sensor 223 to generate a more comprehensive and accurate quality judgment result and corresponding control instructions, thereby realizing integrated intelligent detection of moisture content and appearance.

[0027] According to the appendix Figure 1 Appendix Figure 4 and attached Figure 5As shown, the control unit 300 is the brain of the entire equipment. The control unit 300 is preferably an industrial computer IPC or a high-performance programmable logic controller PLC, and is equipped with a data storage module, a communication module, and a human-machine interface (HMI). The functions of the control unit 300 are not limited to real-time processing of detection data and command sorting. Specifically, the control unit 300 is also configured with data statistics and analysis functions. Based on the first and / or second moisture content data of multiple continuously detected boards, the control unit 300 can statistically analyze the key quality indicators such as the moisture content pass rate, average moisture content, and standard deviation of the batch in real time, and analyze their deviation trends over time. For example, if the moisture content value shows a gradually increasing trend, based on the analyzed deviation trend, the control unit 300 can automatically generate drying parameter adjustment instructions and send the instructions to the upstream wood drying equipment, such as the upstream drying kiln, through the network or industrial bus, to achieve closed-loop feedback and optimization control of the upstream process, thereby improving the stability and consistency of product quality from the source.

[0028] According to the appendix Figure 1 Appendix Figure 2 and attached Figure 4 As shown, the sorting unit 400 is located at a critical path bifurcation node downstream of the multi-level inspection unit 200. The target path includes at least three paths: a qualified product path 101, a manual verification path 102, and a non-qualified product path 103. The qualified product path 101 is usually an extension of the main conveyor line. The qualified product path 101 can be directly set up or connected to the storage area 500 beside or below it. The storage area 500 includes multi-layer shelves 510 for orderly storage of qualified boards. The non-qualified product path 103 leads to the rework area or waste recycling area. The manual verification path 102 leads to a verification station for storing boards whose test results are in a critical state, such as slightly exceeding the standard moisture content but with excellent uniformity, or containing minor acceptable defects, awaiting final manual judgment by quality inspectors. It should be particularly emphasized that a preferred embodiment of the sorting unit 400 is a gantry crane. The gantry robot 410 spans above the conveyor unit 100 and multiple branch paths. Driven by a servo motor, it can perform high-precision, high-speed linear motion in the X, Y, and Z directions. Its end effector is typically an adaptive gripper or a vacuum suction cup, used to grip or absorb the sheet metal. All movements of the gantry robot 410, including its movement trajectory and gripping / releasing timing, are controlled by control commands issued by the control unit 300. When a sheet metal completes inspection and arrives at the sorting point, its electronic tag information or physical location information is locked by the system. Based on the path decision made in advance for the sheet metal, the control unit 300 calculates in real time and directs the gantry robot 410 to accurately and smoothly transfer the sheet metal to the corresponding qualified product path 101, manually confirmed path 102, or unqualified path 103 conveyor line to complete automated sorting.

[0029] According to the appendix Figure 1 To be continued Figure 8 As shown, it is particularly important to emphasize that this equipment achieves fast and accurate detection of moisture content in bamboo and wood flooring through a multi-level workflow that combines non-contact rapid initial screening, contact and visual precision verification, data fusion decision-making, and precise automatic sorting. At the same time, it enables product data traceability through the information reader / writer 110 and achieves feedback optimization of the production process through the statistical analysis function of the control unit 300, thereby improving the quality control level, production speed, and automation level of bamboo and wood flooring processing.

[0030] Example 1: This example uses a piece of bamboo flooring blank with uniform and fully qualified moisture content as an example, combined with the attached... Figure 1 To be continued Figure 8 The standard workflow is described in detail below: In step S1, the bamboo flooring blank with RFID electronic tag is placed at the entrance of the conveying unit 100, and the conveying unit 100 is started to carry the board forward at a constant speed.

[0031] In step S2, the board first passes under the dust collection device 120, where the surface dust is removed. Then it passes through the information reader 110, where its unique ID is read and uploaded to the control unit 300.

[0032] In step S3, the board enters the area of ​​the first-level detection unit 210. The non-contact moisture sensor 211 above quickly scans the entire board and measures the first moisture content data as 10.2%, which is evenly distributed longitudinally. This data is sent to the control unit 300 in real time.

[0033] In step S4, the control unit 300 makes a judgment according to the preset rules and determines that the first moisture content data of the board is completely qualified and uniform. The control unit 300 then marks the board as "qualified product" and generates the corresponding control command. The target path is set as qualified product path 101. At the same time, the control unit 300 determines that there is no need to start the secondary detection unit 220. Therefore, the lifting mechanism 221 and the contact moisture content sensor 222 remain stationary.

[0034] In step S5, the sheet continues to move along the main direction of the conveying unit 100 and reaches the bifurcation point where the sorting unit 400 is located. The control unit 300 sends instructions to the gantry robot 410.

[0035] In step S6, the gantry robot 410 is precisely positioned according to the instructions, and its end vacuum suction cup picks up the plate and moves laterally to place it on the conveyor line of the qualified product path 101.

[0036] In step S7, the qualified product path 101 transports the board to the storage area 500, and it can be stacked on the shelf 510 by auxiliary equipment. At the same time, the information reader 110 or another reader set up at the sorting point writes the final test result and destination information of the board into its RFID tag.

[0037] In step S8, the control unit 300 continuously records this qualified data in the background for batch statistics.

[0038] Example 2: This example uses a wood flooring blank with a satisfactory average moisture content but localized high-humidity areas as an example, combined with the attached... Figure 1 To be continued Figure 8 The workflow involving secondary testing is explained in detail below: Steps S1-S2 are the same as in Example 1, where the board completes dust removal and identity information reading.

[0039] In step S3, after the board is scanned by the primary detection unit 210 and the non-contact moisture content sensor 211, the first moisture content data is sent to the control unit 300. The data shows that the average value is 11%, but the sensor scanning curve shows that there is a peak value in the tail area of ​​the board that is significantly higher than other parts, causing the overall uniformity calculation value to exceed the preset 2% threshold.

[0040] In step S4, the control unit 300 determines that the average moisture content of the board is qualified, but the uniformity is not up to standard. It immediately marks the board as requiring secondary verification and generates an instruction. At the same time, the system tracks the position of the board through the encoder.

[0041] In step S5, when the board is conveyed to the precision measurement station directly below the secondary detection unit 220, the conveying unit 100 briefly slows down or stops. The control unit 300 first activates the vision sensor 223 on the lifting mechanism 221 to take pictures of the suspected high-humidity area at the tail of the board and check for visible abnormalities such as water stains and discoloration.

[0042] In step S6, the control unit 300 then controls the lifting mechanism 221 to drive the contact moisture sensor 222 to press down, and performs contact measurements on three designated points at the head, middle and tail of the board to obtain the second moisture content data: head 10.8%, middle 11.2%, tail 14.9%. Visual image analysis did not find any obvious surface defects.

[0043] In step S7, the control unit 300 integrates the second moisture content data and visual results to determine that the board has a high risk of future deformation due to uneven moisture content, and is therefore a defective product. It then generates a control command and sets the target path to defective path 103.

[0044] In step S8, the sheet material is continued to be conveyed to the sorting point. The gantry robot 410, according to the new instructions, transfers the sheet material to the non-conforming path 103 and flows to the rework drying area.

[0045] In step S9, the non-conformity information of the board is written into the RFID tag. At the same time, the control unit 300 records this case of non-conformity in uniformity for batch quality analysis.

[0046] Example 3: This example uses a board with a critically acceptable moisture content but minor surface defects as an example, combined with the attached... Figure 1 To be continued Figure 8 The process of comprehensive judgment and sorting to manual confirmation path 102 is described in detail below. Steps S1-S2 are the same as before, and the sheet material is ready for conveying.

[0047] In step S3, the first-level detection unit 210 detects a first moisture content of 12.5%, which is slightly higher than the upper limit of the preset acceptable range of 12%. The control unit 300 judges this as a preliminary exceedance and triggers the second-level detection.

[0048] In step S4, the board is positioned under the secondary detection unit 220. The control unit 300 first instructs the vision sensor 223 to perform comprehensive image acquisition on the board. The image analysis algorithm identifies a small but permissible repairable knot on the surface of the board.

[0049] In step S5, the lifting mechanism 221 drives the contact moisture sensor 222 to press down and perform multi-point contact retest. The second moisture content data shows 12.3%, which is basically consistent with the first-level test result, confirming that its moisture content is in a critical state.

[0050] In step S6, the control unit 300 enters the comprehensive decision-making process. According to the preset rules, for cases where the moisture content is between 12% and 13% and there are minor permissible defects, the system cannot make an automatic judgment of absolute pass or fail. Therefore, the control unit 300 determines that the board needs to be submitted for manual confirmation, generates a control command, and sets the target path to the manual confirmation path 102.

[0051] In step S7, the gantry robot 410 of the sorting unit 400 transfers the plate to the conveyor line of the manually confirmed path 102.

[0052] In step S8, the manual confirmation path 102 transports the board to a dedicated verification station. The quality inspector can view all the data of the board through the terminal screen of the station: primary / secondary moisture content data, moisture content distribution curve, high-definition images of knots captured by vision sensor 223 and system annotations. The quality inspector makes a final decision based on experience and enters the decision result on the terminal. The result is also updated to the board's RFID tag and system database.

[0053] Step S9: The data in this case provides samples for the intelligent learning of the control unit 300, which helps to optimize the judgment rules of critical states in the future.

[0054] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A rotating device for processing bamboo and wood flooring, characterized in that, include: Conveying unit (100) is used to convey sheet metal along a preset path; Multi-level detection units (200) are arranged sequentially along the conveying direction of the conveying unit (100) to perform progressive detection of the moisture content of the board material from coarse to fine and generate corresponding detection data. The control unit (300) is communicatively connected to the multi-level detection unit (200) and is used to receive and process the detection data and generate control commands based on the processing results. as well as The sorting unit (400) is connected to the control unit (300) and is located downstream of the path of the conveying unit (100) to receive the control command and sort the board to the target path that matches the detection data.

2. The operating device for processing bamboo and wood flooring according to claim 1, characterized in that, The multi-level detection unit (200) includes a first-level detection unit (210), which includes at least one non-contact moisture content sensor (211). The non-contact moisture content sensor (211) is positioned above the conveying unit (100) and is used to quickly scan the moisture content of the passing board to obtain first moisture content data.

3. The operating device for processing bamboo and wood flooring according to claim 2, characterized in that, The multi-level detection unit (200) further includes a secondary detection unit (220), which includes a lifting mechanism (221) and at least one contact moisture sensor (222) disposed on the lifting mechanism (221). The control unit (300) is configured to: when the first moisture content data exceeds the preset qualified range or uniformity threshold, control the lifting mechanism (221) to drive the contact moisture sensor (222) to press down, so as to perform contact measurement on the specified point of the board and obtain the second moisture content data.

4. The operating device for processing bamboo and wood flooring according to claim 3, characterized in that, The target path includes a qualified product path (101), a manual confirmation path (102), and a non-qualified product path (103); a storage area (500) is provided at the qualified product path (101), the storage area (500) includes a shelf (510) and the shelf (510) is located below the sorting unit (400).

5. The operating device for processing bamboo and wood flooring according to claim 4, characterized in that, The control unit (300) is further configured to: based on the first moisture content data and / or the second moisture content data, calculate the batch moisture content pass rate and deviation trend; and generate drying parameter adjustment instructions based on the deviation trend to control the upstream drying equipment in a coordinated manner.

6. The operating device for processing bamboo and wood flooring according to claim 5, characterized in that, The secondary detection unit (220) also includes a vision sensor (223) integrated on the lifting mechanism (221) for acquiring images of surface defects of the board before or during the pressing of the contact moisture sensor (222); the control unit (300) is also configured to generate the control command by combining the second moisture content data and the image acquisition results.

7. The operating device for processing bamboo and wood flooring according to claim 1, characterized in that, An electronic tag is provided on the plate; an information reader (110) is also provided at the entrance of the conveying unit (100), the information reader (110) is connected to the control unit (300), and is used to associate the unique identifier of the plate, the detection data and the final sorting path information into the corresponding electronic tag.

8. The operating device for processing bamboo and wood flooring according to claim 7, characterized in that, The sorting unit (400) includes a gantry robot (410) located at a path fork, the gantry robot (410) being electrically driven and its movements controlled by the control commands of the control unit (300).

9. The operating device for processing bamboo and wood flooring according to claim 8, characterized in that, The conveying unit (100) is equipped with a dust collection device (120) upstream of the detection area of ​​the primary detection unit (210) to remove floating dust and foreign objects from the surface of the board.

10. A method of using a rotating device for processing bamboo and wood flooring, characterized in that, The operating equipment for processing bamboo and wood flooring according to any one of claims 1-9, the method of use includes the following steps: Step S1: The sheet material is continuously conveyed forward by the conveying unit (100); Step S2: The moisture content of the conveyed board is progressively detected by the multi-level detection unit (200), and the detection data is sent to the control unit (300). In step S3, the control unit (300) processes the detection data and determines the quality grade and target path of the board according to preset rules, and generates corresponding control commands. Step S4: The sorting unit (400) sorts the board to the corresponding target path when the board reaches the path bifurcation point according to the control command. In step S5, the control unit (300) analyzes the moisture content change trend based on the detection data of multiple consecutive plates and generates feedback instructions for adjusting the process parameters of the upstream drying equipment.

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