Cutting and punching whole-process preparation method of OSB (oriented strand board) heat insulation board

Abstract

The invention provides a full-process preparation method for cutting and punching an OSB (oriented strand board) heat insulation board. Comprising the following steps: cutting and punching the OSB oriented structure insulation board; the fiber density, the glue content, the environment temperature and the humidity parameters of the OSB insulation board are collected through the sensing module; based on the parameters, the cutting speed, the punching pressure and the cutter feeding depth are dynamically adjusted through control logic operated by the micro-control unit; monitoring the state of the cutter in real time through a vibration sensor, and correcting parameters of the control logic according to a monitoring result; self-adaptive control over the whole cutting and punching process is achieved through a closed-loop feedback mechanism, and the closed-loop feedback mechanism comprises four sequentially-executed links including parameter collection, logic calculation, execution adjustment and state monitoring. The device can dynamically adapt to the whole cutting and punching process of plate characteristics and environmental changes.

Description

Technical Field

[0001] This invention relates to the field of sheet metal cutting and drilling technology, and in particular to a complete process preparation method for cutting and drilling OSB oriented structural insulation boards. Background Technology

[0002] In the cutting and drilling process of OSB (Oriented Strand Board) insulation panels, existing technologies generally adopt a fixed parameter control mode. This involves pre-setting parameters such as cutting speed, drilling pressure, and tool feed depth based on experience and maintaining these parameters throughout the entire processing. However, OSB insulation panels exhibit significant spatial variations in material properties, with uneven fiber density distribution and large fluctuations in adhesive content across different regions. These material differences directly affect the panel's resistance to cutting resistance and deformation. Furthermore, changes in the processing environment's temperature and humidity further alter the panel's physical properties; for example, the panel is prone to softening under high temperature and humidity conditions, and brittleness under low temperature and humidity conditions. Existing fixed parameter control modes cannot respond to these material characteristic differences and environmental changes. This leads to edge chipping during cutting in areas with high fiber density, large hole diameter tolerances during drilling in areas with fluctuating adhesive content, and accelerated tool wear due to continuous mismatched loads, severely impacting processing quality stability and production efficiency.

[0003] Based on the above problems, there is an urgent need for a cutting and drilling process control solution that can dynamically adapt to the characteristics of the board material and environmental changes. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and to propose a complete process for preparing OSB (Oriented Stranded Insulation Board) insulation boards by cutting and drilling, comprising: Cut and drill holes in OSB oriented strand board; The fiber density, adhesive content, and ambient temperature and humidity parameters of the OSB oriented strand board are collected by the sensing module. Based on the parameters, the cutting speed, drilling pressure and tool feed depth are dynamically adjusted by the control logic running through the microcontroller unit. The tool status is monitored in real time by a vibration sensor, and the parameters of the control logic are adjusted based on the monitoring results. The entire cutting and drilling process is adaptively controlled through a closed-loop feedback mechanism, which includes four sequentially executed steps: parameter acquisition, logic calculation, execution adjustment, and status monitoring.

[0005] Preferably, the fiber density of the OSB oriented structural insulation board is collected using an infrared scanner, the scanning range of which covers the entire surface of the OSB oriented structural insulation board; the adhesive content is collected using a near-infrared spectrometer; and the ambient temperature and humidity are collected using a temperature and humidity sensor. The output terminals of the infrared scanner, near-infrared spectrometer, and temperature and humidity sensor are all connected to the input terminal of the microcontroller unit.

[0006] More preferably, the control logic operates in a microcontroller unit. The microcontroller unit is connected to the cutting motor via a PWM signal, to the punching cylinder via a proportional valve, and to the tool feed mechanism via a servo driver. The microcontroller unit receives the output signal from the sensing module and outputs control commands to the cutting motor, the punching cylinder, and the tool feed mechanism.

[0007] In a further preferred embodiment, the vibration sensor used for real-time monitoring of the tool status is installed on the tool spindle. The output end of the vibration sensor is connected to the input end of the microcontroller. When the vibration amplitude exceeds a preset threshold, the microcontroller corrects the parameters of the control logic according to a preset amplitude, and the correction interval is a preset time.

[0008] Furthermore, the dynamic adjustment of the cutting speed satisfies the following formula: ; in, This refers to the cutting speed, expressed in m / min. The reference cutting speed is expressed in m / min. This refers to fiber density, expressed in g / cm³. This refers to the ambient temperature, expressed in °C. Ambient humidity, expressed as %. This is the fiber density influence coefficient, with units of cm³ / g. This is the temperature and humidity coupling coefficient, which is dimensionless.

[0009] Furthermore, the dynamic adjustment of the drilling pressure satisfies the following formula: ; in, The drilling pressure is expressed in MPa. The reference drilling pressure is expressed in MPa. This refers to the adhesive content, expressed as a percentage. This refers to fiber density, expressed in g / cm³. The average fiber density is expressed in g / cm³.

[0010] A further preferred embodiment of the tool feed depth correction factor is that it satisfies the following formula: ; in, This is a dimensionless correction factor for the depth of tool feed. The reference cutting speed is expressed in m / min. This refers to the cutting speed, expressed in m / min. The drilling pressure is expressed in MPa. The reference drilling pressure is expressed in MPa. This refers to the ambient temperature, expressed in °C. This represents ambient humidity, expressed as a percentage.

[0011] In a further preferred embodiment, in the step of collecting the fiber density, adhesive content, and ambient temperature and humidity parameters of the OSB oriented strand board, the parameters are processed by a data preprocessing module. The data preprocessing module uses a wavelet threshold noise reduction algorithm. The output of the data preprocessing module is connected to the input of the microcontroller unit. The output data update frequency of the data preprocessing module is a preset frequency.

[0012] In a further preferred embodiment, in the step of dynamically adjusting the cutting speed, drilling pressure, and tool feed depth based on parameters through control logic, the adjustment cycle of the control logic is consistent with the parameter acquisition cycle. When the parameter change rate exceeds a preset threshold, the adjustment range of the control logic automatically increases by a preset ratio. The parameter change rate is the ratio of the parameter difference between two adjacent acquisition cycles to the acquisition cycle.

[0013] Preferably, the execution time of each link in the closed-loop feedback mechanism does not exceed a preset time, and the total response time of the closed-loop feedback mechanism does not exceed a preset total time. When any link is abnormal, the closed-loop feedback mechanism issues an alarm signal and suspends the cutting and drilling operation. The alarm signal is output through an audible and visual alarm.

[0014] Technical effects: This invention uses a sensing module to collect real-time parameters such as fiber density, glue content, and ambient temperature and humidity of the board. It dynamically adjusts the cutting speed, drilling pressure, and tool feed depth based on control logic, and achieves full-process adaptive control by combining a closed-loop feedback mechanism and tool status monitoring.

[0015] This solution breaks through the limitations of existing fixed parameter control and solves problems such as edge chipping during cutting, large hole diameter tolerance, and rapid tool wear caused by differences in sheet material characteristics and environmental changes. Through the synergistic effect of multi-parameter dynamic adaptation and real-time feedback, it significantly improves the stability of processing quality, demonstrating outstanding substantive features and significant progress. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the entire process of preparing an OSB oriented structural insulation board by cutting and drilling, as described in this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0018] In the traditional OSB (Oriented Strand Board) insulation board cutting and drilling process, existing technologies mostly use fixed parameter control, which cannot be dynamically adjusted according to the characteristics of the board itself, such as fiber density, glue content, and environmental factors such as temperature and humidity. This results in a high rate of edge chipping on the cut surface, insufficient drilling accuracy, short tool life, and a lack of real-time feedback mechanism, making it difficult to cope with quality fluctuations caused by parameter fluctuations.

[0019] Based on this, please refer to Figure 1 This embodiment provides a complete process for preparing OSB oriented structural insulation board by cutting and drilling, including: S1: Cut and drill holes in the OSB oriented strand board; S2: Collect fiber density, adhesive content, and ambient temperature and humidity parameters of OSB oriented structural insulation board through the sensing module; S3: Based on the parameters, the cutting speed, drilling pressure and tool feed depth are dynamically adjusted through the control logic running by the microcontroller unit; S4: Monitor the tool status in real time using a vibration sensor and adjust the parameters of the control logic based on the monitoring results; S5: Adaptive control of the entire cutting and drilling process is achieved through a closed-loop feedback mechanism, which includes four sequentially executed steps: parameter acquisition, logic calculation, execution adjustment, and status monitoring. This reduces the chipping rate of the cutting surface, improves the accuracy of the drilling diameter, and extends the tool life.

[0020] This solution addresses the problem that fixed parameter control cannot adapt to changes in sheet material characteristics and environment by combining multi-parameter acquisition, dynamic adjustment, and closed-loop feedback. It achieves adaptive optimization of the cutting and drilling process, providing technical support for improving processing quality and efficiency.

[0021] This method is used for the entire process control of cutting and drilling OSB (Oriented Strand Insulation Board). In actual implementation, the board material is first comprehensively sampled using a sensing module. This includes obtaining fiber density distribution in different areas of the board through infrared scanning, obtaining adhesive content data through near-infrared spectroscopy analysis, and simultaneously collecting the temperature and humidity of the processing environment. These parameters are transmitted to the microcontroller unit in real time. The pre-stored control logic in the microcontroller unit calculates the required cutting speed, drilling pressure, and tool feed depth based on these parameters, and sends adjustment commands to the cutting motor, drilling cylinder, and tool feed mechanism.

[0022] A vibration sensor installed on the tool spindle continuously monitors the tool vibration status. When the vibration amplitude exceeds the preset normal tool wear threshold, the microcontroller automatically corrects the coefficients in the control logic according to the preset amplitude, such as the fiber density influence coefficient. The correction interval is set according to the machining accuracy requirements, such as once every 10ms.

[0023] The entire process achieves adaptive control through a closed-loop feedback mechanism consisting of four sequential stages: parameter acquisition, logic calculation, execution adjustment, and status monitoring. The parameter acquisition stage obtains real-time data, the logic calculation stage processes the data and generates instructions, the execution adjustment stage drives the equipment to move, and the status monitoring stage verifies the effect and provides feedback for correction. Ultimately, this results in reduced edge chipping on the cutting surface, more precise hole diameter, and reduced tool wear.

[0024] Traditional technical solutions have the following technical problems: unclear sensor selection and connection relationships can lead to insufficient reliability of parameter acquisition; lack of coordination in signal transmission between different sensors can affect the accuracy of subsequent control logic.

[0025] Based on this, the fiber density of the OSB oriented structural insulation board is collected using an infrared scanner, the scanning range of which covers the entire surface of the OSB oriented structural insulation board; the adhesive content is collected using a near-infrared spectrometer; and the ambient temperature and humidity are collected using a temperature and humidity sensor. The output terminals of the infrared scanner, near-infrared spectrometer, and temperature and humidity sensor are all connected to the input terminal of the microcontroller unit.

[0026] It is worth mentioning that in the parameter acquisition stage, three types of sensors work together: an infrared scanner is installed above the feed path of the cutting equipment, and its scanning range covers the entire surface of the board, including the edge area. By emitting infrared light and receiving reflected signals, it calculates the fiber density of each point on the board, such as the density value of a 0.1mm × 0.1mm area.

[0027] A near-infrared spectrometer is fixed in front of the drilling equipment. By analyzing the wavelength of near-infrared light reflected from the surface of the board, the glue content in different areas can be determined, such as the percentage of glue content per square centimeter.

[0028] Temperature and humidity sensors are installed near the ventilation openings in the processing workshop to collect ambient temperature data, such as the air temperature inside the workshop, and relative humidity data, such as the percentage of water vapor in the air.

[0029] The signal output terminals of the above three types of sensors are all connected to the input terminal of the microcontroller via shielded cables, ensuring that the collected fiber density, glue content, temperature and humidity data are transmitted to the microcontroller without interference, providing raw data for subsequent control logic calculations.

[0030] This solution ensures comprehensive parameter acquisition and stable signal transmission by clearly defining the sensor types and their connection relationships with the microcontroller unit, thus resolving compatibility issues in sensor collaboration and providing reliable raw data for the control logic.

[0031] Traditional technical solutions have the following technical problems: the interaction logic between the traditional control unit and the actuator is ambiguous, which can easily lead to delays or distortions in the transmission of control commands, affecting the dynamic adjustment accuracy of parameters such as cutting speed and drilling pressure.

[0032] Based on this, the control logic operates in a microcontroller unit. The microcontroller unit is connected to the cutting motor via a PWM signal, to the punching cylinder via a proportional valve, and to the tool feed mechanism via a servo driver. The microcontroller unit receives the output signal from the sensing module and outputs control commands to the cutting motor, the punching cylinder, and the tool feed mechanism.

[0033] It is worth mentioning that the control logic is pre-programmed and stored in the microcontroller unit, such as a 32-bit ARM processor. During actual operation, the microcontroller unit receives parameter data transmitted by the sensor module through the data interface, and generates three types of control instructions after calculation: For the cutting motor, the microcontroller outputs a PWM signal, which is a pulse width modulation signal. By adjusting the pulse duty cycle, the motor speed is changed, thereby controlling the cutting speed. For example, the larger the duty cycle, the higher the speed and the faster the cutting speed.

[0034] For the drilling cylinder, the microcontroller outputs a current signal through a proportional valve. The magnitude of the current is proportional to the drilling pressure. If the current increases, the opening of the proportional valve increases, the air intake of the cylinder increases, and the pressure rises.

[0035] For the tool feed mechanism, the microcontroller sends position commands to the servo driver, which drives the motor to move the tool up and down, precisely controlling the feed depth. The larger the command value, the deeper the feed depth.

[0036] Throughout the process, the microcontroller continuously receives real-time parameters from the sensing module and dynamically updates control commands to ensure that cutting, drilling, and feeding actions are synchronized with changes in the material properties and environment.

[0037] This solution ensures the accurate transmission and execution of control commands by clearly defining the connection method and signal interaction logic between the microcontroller and each actuator, thus solving the problem of insufficient coordination between the control unit and the actuator and improving the response speed and accuracy of dynamic adjustment.

[0038] Traditional technical solutions have the following technical problems: tool condition monitoring lacks clear hardware deployment and signal processing mechanisms, making it difficult to capture tool wear status in real time, resulting in parameter correction delays, which affect machining quality and tool life.

[0039] Based on this, a vibration sensor is installed on the tool spindle to monitor the tool status in real time. The output of the vibration sensor is connected to the input of the microcontroller. When the vibration amplitude exceeds a preset threshold, the microcontroller corrects the parameters of the control logic according to a preset amplitude, and the correction interval is a preset time.

[0040] Tool condition monitoring is achieved through a vibration sensor mounted at the end of the tool spindle. The sensor is rigidly connected to the spindle and can capture the vibration waveform during cutting or drilling. Its output is connected to the analog input port of the microcontroller unit via a signal line, converting the vibration amplitude into an electrical signal for transmission.

[0041] Before actual processing, the vibration threshold for normal tool operation was determined through multiple experiments. For example, the vibration amplitude of a brand-new tool is ≤0.1mm, and a preset correction parameter was used. If the vibration amplitude exceeds the threshold, the correction coefficient is increased by the preset value. During processing, the microcontroller unit compares the vibration signal with the threshold in real time. When the vibration amplitude exceeds the threshold, the parameters in the control logic are immediately corrected according to the preset amplitude, such as increasing the fiber density influence coefficient k1, reducing the cutting speed, or adjusting the drilling pressure to reduce the tool load.

[0042] The correction interval is set according to the tool wear rate, such as checking the vibration status every 5ms to ensure timely response to abnormal tool wear.

[0043] This solution, through the design of the vibration sensor's installation location and signal transmission path, enables real-time monitoring of tool status and timely parameter correction, solving the problem of lagging tool wear monitoring and providing technical support for extending tool life and maintaining machining stability.

[0044] Traditional technical solutions have the following technical problems: the existing cutting speed adjustment does not take into account the coupled influence of fiber density and temperature and humidity, and adopts a fixed or single-factor-related adjustment method, which leads to a mismatch between the cutting speed and the actual characteristics of the board, and easily causes quality problems such as edge chipping.

[0045] Based on this, the dynamic adjustment of the cutting speed satisfies the following formula: ; in, This refers to the cutting speed, expressed in m / min. The reference cutting speed is expressed in m / min. Fiber density, in g / cm³. This refers to the ambient temperature, expressed in °C. Ambient humidity, expressed as %. This is the fiber density influence coefficient, with units of cm³ / g. This is the temperature and humidity coupling coefficient, which is dimensionless.

[0046] This formula achieves dynamic correction of cutting speed by constructing a coupled model of fiber density and temperature and humidity, solving the problem of insufficient speed adaptability caused by adjusting a single factor, and reducing the occurrence of edge chipping on the cutting surface.

[0047] This formula is used to dynamically calculate the real-time cutting speed during the cutting process of OSB oriented structural insulation board, and it solves the problem of edge chipping on the cut surface caused by fixed cutting speed or reliance on adjustment of only a single parameter in existing technologies.

[0048] The formula is designed based on the coupling effect mechanism between the fiber density of the board and the ambient temperature and humidity. It achieves non-linear adjustment through an exponential function to ensure that the cutting speed matches the actual physical properties of the board.

[0049] in, This represents the real-time cutting speed, measured in m / min. Its value changes dynamically with the input parameters and is the core output quantity that embodies adaptive control. The reference cutting speed is used as the calculation benchmark. Its value is determined based on experimental data of the optimal cutting speed of conventional plates under standard conditions, ensuring basic processing efficiency in the absence of special interference. Fiber density, expressed in g / cm³, directly reflects the degree of fiber compactness in a localized area of ​​the board.

[0050] The higher the fiber density, the greater the resistance to cutting the board. Therefore, it is necessary to reduce the cutting speed through the negative correlation in the exponential term to avoid fiber tearing and edge breakage due to excessive resistance.

[0051] The influence of environmental factors is addressed through the temperature and humidity coupling term. reflect: The ambient temperature is ℃. The percentage of ambient humidity is included in the calculation as a ratio between the two values. The denominators 30 and 50 correspond to the standard temperature and humidity reference values, respectively, so that the impact of temperature and humidity deviating from the standard state is quantified as a proportionality coefficient. The temperature and humidity coupling coefficient is dimensionless and its value is determined through multiple temperature and humidity combination experiments. It is used to characterize the effect of the combined effect of temperature and humidity on the hardness of the board. Under high temperature and high humidity conditions, the glue content of the board is easily softened and the bonding force between fibers decreases. At this time, it is necessary to further reduce the cutting speed by increasing the value of the coupling term to avoid rough cutting surface caused by the decrease in material brittleness.

[0052] The fiber density influence coefficient, in cm³ / g, represents the attenuation weight of cutting speed per unit fiber density. It is obtained through fitting experiments on boards with different fiber densities to ensure that the attenuation of cutting speed matches the actual change in cutting resistance when the fiber density increases by 0.1g / cm³.

[0053] The choice of the exponential function is based on the nonlinear relationship between fiber density and cutting resistance—when fiber density increases sharply, the cutting speed needs to decrease exponentially rather than nonlinearly to quickly adapt to the processing requirements of high-resistance areas. This design differs from the linear adjustment logic in existing technologies, significantly reducing the risk of edge chipping in high-density areas. Overall, this formula, through a multi-parameter coupled exponential adjustment mechanism, achieves a dual-layer control logic of fiber density dominance and temperature / humidity correction, enabling the cutting speed to respond to both the differences in the internal characteristics of the board and adapt to changes in the external environment, thus overcoming the limitations of single-parameter adjustment.

[0054] Traditional technical solutions have the following technical problems: the traditional drilling pressure adjustment does not take into account the influence of glue content and fiber density, and the pressure setting is not matched with the local characteristics of the board, which can easily lead to excessive hole diameter tolerance or board damage.

[0055] Based on this, the dynamic adjustment of the drilling pressure satisfies the following formula: ; in, The drilling pressure is expressed in MPa. The reference drilling pressure is expressed in MPa. This refers to the adhesive content, expressed as a percentage. This refers to fiber density, expressed in g / cm³. The average fiber density is expressed in g / cm³.

[0056] This formula is used to calculate the real-time drilling pressure during the drilling process, solving the problem of excessive hole diameter tolerance caused by fixed drilling pressure in existing technologies. Its core design idea is to consider the differences in the glue content of the board and the local fiber density, and achieve precise control of pressure through dual-factor compensation.

[0057] In the formula, The real-time drilling pressure, measured in MPa, is the force output directly applied to the drilling tool. Its magnitude determines the degree of plastic deformation of the sheet material and the accuracy of the hole diameter during the drilling process.

[0058] The reference drilling pressure is determined based on drilling experiments of boards with standard glue content and average fiber density to ensure that the hole diameter error under the reference condition is within the allowable range.

[0059] The effect of rubber content is achieved through the item reflect: The glue content (%) reflects the amount of adhesive between the fibers of the board. The higher the glue content, the stronger the local hardness and deformation resistance of the board. It is necessary to increase the pressure to ensure that the drilling tool can penetrate smoothly. Therefore, a linear increasing relationship is adopted, with a coefficient of 0.1. The pressure-pore diameter is determined through pressure-pore diameter experiments on boards with different glue contents to ensure that the pressure increase matches the pore diameter accuracy requirement when the glue content increases by 1%.

[0060] Fiber density compensation is achieved through the item accomplish: Local fiber density (g / cm³). The ratio of the difference between the average fiber density (g / cm³) and the average fiber density reflects the degree of deviation of the local density from the overall average level. When the local fiber density is higher than the average, the numerator is positive, the value of this term decreases, and the drilling pressure decreases accordingly—because the bonding force between fibers in high-density areas is strong, excessive pressure can easily lead to cracking of the pore walls; when the local density is lower than the average, the value of this term increases, and the pressure increases accordingly to avoid pore expansion caused by material porosity.

[0061] A coefficient of 0.2 represents the density compensation weight, determined through comparative experiments between high-density and low-density regions, ensuring that the pressure adjustment range matches the requirements for pore wall integrity. The core innovation of this formula lies in coupling the pressure-enhancing effect of adhesive content with the pressure-compensating effect of fiber density through a product, forming a bidirectional synergistic control logic: adhesive content dominates the basic pressure increase, while fiber density is dynamically corrected based on local characteristics, avoiding overpressure cracking or underpressure pore expansion problems caused by adjusting a single factor.

[0062] This formula achieves precise compensation of drilling pressure through the synergistic calculation of glue content and fiber density, solving the problem of mismatch between pressure setting and local characteristics of the board, and improving the accuracy and stability of the drilling diameter.

[0063] Traditional technical solutions have the following technical problems: the tool feed depth adjustment is not related to cutting speed, drilling pressure and environmental factors, resulting in the feed amount not matching the actual state of the material, affecting the machining accuracy and the balance of the tool force.

[0064] Based on this, the tool feed depth correction factor satisfies the following formula: ; in, This is a dimensionless correction factor for the depth of tool feed. The reference cutting speed is expressed in m / min. This refers to the cutting speed, expressed in m / min. The drilling pressure is expressed in MPa. The reference drilling pressure is expressed in MPa. This refers to the ambient temperature, expressed in °C. This represents ambient humidity, expressed as a percentage.

[0065] This formula is used to calculate the correction coefficient for the tool feed depth, solving the problems of excessive tool wear and insufficient machining accuracy caused by a fixed feed depth in existing technologies. Its design logic integrates the effects of cutting speed deviation, drilling pressure ratio, and ambient temperature and humidity on the elastic deformation of the sheet metal, achieving fine adjustment of the feed depth through multi-parameter linkage. Among these, This is a dimensionless feed depth correction coefficient, used as a multiplier factor for the real-time feed depth.

[0066] when At that time, the actual feed depth increases; As the feed depth decreases, dynamic corrections are used to ensure the tool's depth of cut matches the actual condition of the sheet material. (Cutting speed deviation item) Reflects the degree of deviation between the actual cutting speed and the reference speed: when If the speed decreases in a high-density area, this item will be positive, indicating that the processing resistance in the current area is high. It is necessary to increase the correction coefficient to deepen the feed depth and ensure thorough cutting. When the speed is reduced, this value is 0, and the feed depth remains at the baseline value. This design avoids incomplete cutting caused by a decrease in speed by linking the speed and the feed depth.

[0067] Drilling pressure ratio This reflects the ratio between real-time pressure and reference pressure: higher pressure indicates higher local hardness or glue content in the board. In this case, the correction coefficient needs to be increased by increasing the ratio term to ensure that the tool feed depth is sufficient to penetrate high-density or high-glue areas, avoiding substandard drilling. This term is linked to the pressure formula, ensuring that feed depth and pressure adjustments are consistent and avoiding processing contradictions caused by isolated parameter adjustments. The influence of environmental factors is... The temperature coefficient of 0.02 and the humidity coefficient of 0.01 were determined experimentally to characterize the effects of temperature and humidity on the elastic modulus of the board. Under high temperature conditions, the board is prone to softening and elastic deformation increases, requiring a deeper feed depth. Under high humidity conditions, the board absorbs moisture and expands, which also requires increasing the correction coefficient to compensate for the amount of deformation.

[0068] The linear superposition of the two ensures the quantification of the combined effects of temperature and humidity, enabling the feed depth adjustment to cover the comprehensive effects of environmental variables. The coefficient 0.01 is the overall correction weight, which is obtained through multi-parameter combination experiments and is used to balance the influence of each factor on the feed depth, avoiding excessive correction caused by the over-dominance of a single factor.

[0069] This formula integrates cutting speed, drilling pressure, and environmental parameters to achieve dynamic correction of feed depth, solving the problem of insufficient adaptability between feed rate and sheet material condition, and improving the stability of the machining process and the rationality of tool force.

[0070] Traditional technical solutions have the following technical problems: the lack of an effective preprocessing mechanism after parameter acquisition; noise in the original signal can cause deviations in control logic calculations, affecting the accuracy of parameter adjustment.

[0071] Based on this, in the step of collecting fiber density, adhesive content, and ambient temperature and humidity parameters of OSB oriented strand board, the parameters are processed by a data preprocessing module. The data preprocessing module uses a wavelet threshold noise reduction algorithm. The output of the data preprocessing module is connected to the input of the microcontroller unit. The output data update frequency of the data preprocessing module is a preset frequency.

[0072] This scheme preprocesses the parameters using a wavelet threshold denoising algorithm, which solves the problem of noise interference in the original signal, provides more accurate input data for the control logic, and improves the reliability of dynamic adjustment.

[0073] It is worth mentioning that after parameter acquisition, the data needs to be processed by a data preprocessing module to eliminate environmental interference, such as light fluctuations during infrared scanning and sensor noise. In actual implementation, the preprocessing module uses a wavelet thresholding algorithm to perform three-level wavelet decomposition on the original fiber density, glue content, temperature and humidity data, and filters out high-frequency noise after decomposition using a hard threshold function, such as treating low-amplitude fiber density fluctuations as noise.

[0074] The preprocessing module is connected to the microcontroller unit via an SPI bus. The update frequency of the output data is set according to the processing speed. For example, when the sheet feed speed is 2m / min, the update frequency is set to 10Hz to ensure that the data is updated once every 0.1 seconds. The processed clean data is transmitted to the microcontroller unit as input for control logic calculations, avoiding the false issuance of adjustment commands due to noise.

[0075] Traditional technical solutions have the following technical problems: the adjustment cycle of the control logic is not well adapted to the rate of parameter change. When the parameters change rapidly, the adjustment range cannot keep up in time, resulting in a lag deviation between the processing parameters and the state of the board.

[0076] Based on this, in the step of dynamically adjusting the cutting speed, drilling pressure and tool feed depth based on parameters through control logic, the adjustment cycle of the control logic is consistent with the parameter acquisition cycle. When the parameter change rate exceeds a preset threshold, the adjustment range of the control logic automatically increases by a preset ratio. The parameter change rate is the ratio of the parameter difference between two adjacent acquisition cycles to the acquisition cycle.

[0077] The adjustment cycle of the control logic is consistent with the parameter acquisition cycle. For example, if the parameter is acquired every 0.1 seconds, the adjustment cycle is also set to 0.1 seconds to ensure that parameter changes can be responded to in a timely manner. The parameter change rate is calculated by dividing the difference between the parameter value of the current cycle and the parameter value of the previous cycle by the acquisition cycle. For example, if the fiber density changes from 0.6 g / cm³ to 0.7 g / cm³, and the acquisition cycle is 0.1 seconds, the change rate will be the corresponding value.

[0078] When the rate of change exceeds the preset threshold, such as 0.5g / (cm³·s), it indicates that the fiber density is increasing rapidly. The adjustment range of the control logic will automatically increase the preset value. That is, the cutting speed that originally needed to be reduced by a certain value will be reduced by a larger amount at this time to avoid fluctuations in processing quality due to sudden changes in parameters.

[0079] This solution achieves adaptive optimization of the adjustment range by adjusting the correlation between the adjustment cycle and the parameter change rate, solving the problem of adjustment lag when parameters change rapidly, and ensuring real-time matching between processing parameters and the state of the sheet material.

[0080] Traditional technical solutions have the following technical problems: the execution time of the closed-loop feedback mechanism and the abnormal handling logic are unclear, which can easily lead to delayed feedback response or untimely processing interruption in abnormal situations, affecting the overall processing quality and safety.

[0081] Based on this, the execution time of each link of the closed-loop feedback mechanism does not exceed the preset time, and the total response time of the closed-loop feedback mechanism does not exceed the preset total time. When any link is abnormal, the closed-loop feedback mechanism issues an alarm signal and suspends the cutting and drilling operation. The alarm signal is output through an audible and visual alarm.

[0082] It is worth mentioning that the execution time of the four stages of the closed-loop feedback mechanism must be strictly controlled: the parameter acquisition stage is achieved through parallel acquisition by sensors, with a time of no more than 50ms; the logic calculation stage is completed quickly by the microcontroller unit, with a time of no more than 50ms; the execution adjustment stage is responded quickly by the drive circuit, with a time of no more than 50ms; and the status monitoring stage receives vibration signals in real time, with a time of no more than 50ms. The total response time is controlled within 200ms to ensure real-time tracking of changes in the characteristics of the board material.

[0083] If any abnormality occurs in any link, such as parameter acquisition timeout, control command transmission failure, or vibration sensor no signal, the microcontroller immediately triggers an alarm signal, emits a buzzer and red light through the connected audible and visual alarm, and sends a pause command to the cutting motor and drilling cylinder to cut off the power source, so as to avoid unqualified processing or equipment damage. The system will be restarted after manual inspection to check for abnormalities.

[0084] This solution addresses the issues of delayed feedback response and untimely anomaly handling by clearly defining the time limits and anomaly handling methods for each stage of the closed-loop feedback process, thereby improving the safety and stability of the entire process.

[0085] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A complete process for preparing OSB (Oriented Stranded Insulation Board) insulation boards by cutting and drilling, characterized in that, include: Cut and drill holes in OSB oriented strand board; The fiber density, adhesive content, and ambient temperature and humidity parameters of the OSB oriented strand board are collected by the sensing module. Based on the parameters, the cutting speed, drilling pressure and tool feed depth are dynamically adjusted by the control logic running through the microcontroller unit. The tool status is monitored in real time by a vibration sensor, and the parameters of the control logic are adjusted based on the monitoring results. The entire cutting and drilling process is adaptively controlled through a closed-loop feedback mechanism, which includes four sequentially executed steps: parameter acquisition, logic calculation, execution adjustment, and status monitoring.

2. The method for preparing an OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The fiber density of the OSB oriented strand board is collected using an infrared scanner, the scanning range of which covers the entire surface of the OSB oriented strand board; the adhesive content is collected using a near-infrared spectrometer; and the ambient temperature and humidity are collected using a temperature and humidity sensor. The output terminals of the infrared scanner, near-infrared spectrometer, and temperature and humidity sensor are all connected to the input terminal of the microcontroller unit.

3. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The control logic operates in a microcontroller unit. The microcontroller unit is connected to the cutting motor via a PWM signal, to the punching cylinder via a proportional valve, and to the tool feed mechanism via a servo driver. The microcontroller unit receives the output signal from the sensing module and outputs control commands to the cutting motor, the punching cylinder, and the tool feed mechanism.

4. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The vibration sensor used for real-time monitoring of the tool status is installed on the tool spindle. The output end of the vibration sensor is connected to the input end of the microcontroller. When the vibration amplitude exceeds a preset threshold, the microcontroller corrects the parameters of the control logic according to a preset amplitude, and the correction interval is a preset time.

5. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The dynamic adjustment of the cutting speed satisfies the following formula: ； in, This refers to the cutting speed, expressed in m / min. The reference cutting speed is expressed in m / min. This refers to fiber density, expressed in g / cm³. This refers to the ambient temperature, expressed in °C. Ambient humidity, expressed as %. This is the fiber density influence coefficient, with units of cm³ / g. This is the temperature and humidity coupling coefficient, which is dimensionless.

6. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The dynamic adjustment of the drilling pressure satisfies the following formula: ； in, The drilling pressure is expressed in MPa. The reference drilling pressure is expressed in MPa. This refers to the adhesive content, expressed as a percentage. Fiber density, in g / cm³. The average fiber density is expressed in g / cm³.

7. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The tool feed depth correction factor satisfies the following formula: ； in, This is a dimensionless correction factor for the depth of tool feed. The reference cutting speed is expressed in m / min. This refers to the cutting speed, expressed in m / min. The drilling pressure is expressed in MPa. The reference drilling pressure is expressed in MPa. This refers to the ambient temperature, expressed in °C. This represents ambient humidity, expressed as a percentage.

8. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, In the step of collecting fiber density, adhesive content, and ambient temperature and humidity parameters of OSB oriented strand board, the parameters are processed by a data preprocessing module. The data preprocessing module uses a wavelet threshold noise reduction algorithm. The output of the data preprocessing module is connected to the input of the microcontroller unit. The output data update frequency of the data preprocessing module is a preset frequency.

9. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, In the step of dynamically adjusting the cutting speed, drilling pressure, and tool feed depth based on parameters through control logic, the adjustment cycle of the control logic is consistent with the parameter acquisition cycle. When the parameter change rate exceeds a preset threshold, the adjustment range of the control logic automatically increases by a preset ratio. The parameter change rate is the ratio of the parameter difference between two adjacent acquisition cycles to the acquisition cycle.

10. The method for preparing OSB oriented structural insulation board by cutting and drilling according to claim 1, characterized in that, The execution time of each link in the closed-loop feedback mechanism shall not exceed a preset time, and the total response time of the closed-loop feedback mechanism shall not exceed a preset total time. When any link is abnormal, the closed-loop feedback mechanism shall issue an alarm signal and suspend the cutting and drilling operation. The alarm signal shall be output through an audible and visual alarm.

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