Wireless monitoring method and system for corrugated paper transportation humidity

Abstract

The application relates to a corrugated paper transportation humidity wireless monitoring method and system, and relates to the technical field of corrugated paper, which comprises the following steps: collecting image detection information and transportation information; obtaining humidity change images through the image detection information and preset humidity characteristics; comparing the humidity change images with preset reference humidity images to output humidity warning information, or obtaining a placing direction according to the image detection information; obtaining marking image information according to the consistency of the placing direction and a preset detection direction; obtaining stress distribution information based on the marking image information and the transportation information; identifying marking change curvature from the marking image information; combining the stress distribution information, a preset corrugated paper specification and the marking change curvature to simulate detection humidity parameters; and comparing the detection humidity parameters with preset reference humidity thresholds to output humidity warning information. The application has the effect of improving the yield of corrugated paper in the transportation process.

Description

Technical Field

[0001] This invention relates to the technical field of corrugated paper, and in particular to a wireless monitoring method and system for the humidity of corrugated paper during transportation. Background Technology

[0002] Corrugated paper is a composite paperboard made by bonding face paper and corrugated core paper (corrugated core paper) together with adhesive.

[0003] During the transportation of corrugated paper, it is extremely sensitive to ambient humidity. The moisture content of the corrugated paper reaches a dynamic equilibrium with the relative humidity of the environment. When the humidity is too high, the paper fibers absorb moisture and swell, leading to hydrogen bond breakage and a significant decrease in the mechanical properties of the corrugated paper, such as ring crush strength and edge crush strength. Humidity sensors are typically installed in corrugated paper transport equipment to monitor the ambient humidity in real time. Once the humidity exceeds a threshold, an alarm is triggered to alert the operator that the quality of the corrugated paper has been affected.

[0004] During the transportation of corrugated cardboard, humidity sensors can only monitor the ambient humidity near the deployment point. However, due to poor air circulation inside the stack, the humidity of the local microenvironment may differ significantly from the sensor readings. When the sensor alarms, the cardboard boxes inside the stack may already be severely damp, missing the optimal time for handling and reducing the yield rate of corrugated cardboard during transportation. Summary of the Invention

[0005] To improve the yield rate of corrugated paper during transportation, this invention provides a wireless monitoring method and system for the humidity of corrugated paper during transportation.

[0006] In a first aspect, the present invention provides a wireless monitoring method for the humidity of corrugated paper during transportation, employing the following technical solution:

[0007] A wireless monitoring method for humidity control during corrugated paper transportation includes:

[0008] S10: Acquire image detection information and transportation information;

[0009] S11: Obtain a humidity change image by detecting image information and using preset humidity features;

[0010] S12: Compare the humidity change image with the preset baseline humidity image to output humidity warning information, or determine the placement direction based on image detection information;

[0011] S13: Obtain the marked image information based on the consistency between the placement direction and the preset detection direction;

[0012] S14: Obtain stress distribution information based on labeled image information and transportation information;

[0013] S15: Identify the curvature of the marker changes from the marker image information;

[0014] S16: Combine stress distribution information, preset corrugated specifications, and marked curvature changes to simulate and detect humidity parameters;

[0015] S17: Compare the detected humidity parameters with the preset baseline humidity threshold and output a humidity warning message if the humidity exceeds the threshold.

[0016] By adopting the above technical solution, and analyzing image detection information and transportation information to output humidity warning information, it is possible to identify the humidity of corrugated paper by taking images of the corrugated paper, reduce the data deviation of humidity sensor monitoring, improve the accuracy of humidity identification of corrugated paper and provide timely reminders, and further improve the yield of corrugated paper during transportation.

[0017] Optionally, the verification methods for humidity parameters include:

[0018] S20: Obtain the curvature change threshold by using corrugated specifications and stress distribution information;

[0019] S21: Calculate the difference between the curvature change threshold and the marked curvature change as the curvature deviation value;

[0020] S22: Compare the curvature deviation value with the curvature change threshold to obtain the folding parameters by comparing the curvature deviation value with the preset folding verification method;

[0021] S23: Update the detected humidity parameters based on the folding parameters.

[0022] By adopting the above technical solution, the humidity detection parameters are verified by the deviation between the curvature change threshold and the marked curvature change. This allows for the identification of whether there are folding defects in stacked corrugated paper, eliminating the interference of folding deformation on humidity judgment, improving the accuracy and reliability of humidity detection parameters, avoiding misjudgment or omission due to folding, and further improving the accuracy of humidity monitoring.

[0023] Optional folding verification methods include:

[0024] S30: Obtain the folding prediction shape through the curvature deviation value;

[0025] S31: Update transportation information and combine it with stress distribution information to obtain stress change information;

[0026] S32: Based on stress change information and corrugated specifications, the baseline recovery curvature is obtained;

[0027] S33: Update image detection information to obtain the actual restored curvature;

[0028] S34: Compare the actual restored curvature with the reference restored curvature and combine it with the corrugated specifications to obtain the number of folds;

[0029] S35: Obtain folding parameters based on the number of folds and the predicted folding shape.

[0030] By adopting the above technical solution, the geometric morphology of folding defects can be analyzed by the difference in curvature recovery characteristics before and after stress change, thereby accurately obtaining folding parameters and improving the accuracy and reliability of humidity detection parameters.

[0031] Optionally, methods for updating the detected humidity parameters include:

[0032] S40: Humidity output direction is determined based on folding parameters;

[0033] S41: Combine stress change information, corrugated specifications, and folding parameters to obtain the air output flow rate;

[0034] S42: Obtain the marked position based on the humidity output direction and the preset sensor position;

[0035] S43: Collect actual humidity values ​​by measuring air output flow rate and marker location, and update the detected humidity parameters based on the actual humidity values.

[0036] By adopting the above technical solution, the direction and velocity of moisture discharge are obtained through folding parameters, and the actual humidity value discharged inside the folding area is collected by locating the marked position to correct the humidity and further improve the authenticity and accuracy of the detected humidity parameters.

[0037] Optionally, methods for collecting actual humidity values ​​include:

[0038] S50: The air propagation distance is obtained based on the folding parameters and the marked position;

[0039] S51: The propagation time is obtained based on the air propagation distance and the air output velocity;

[0040] S52: Collect actual humidity values ​​based on transmission time.

[0041] By adopting the above technical solution, the humidity parameter can be accurately captured by sampling the time delay required for moisture to travel from the folded area to the sensor, thereby improving the accuracy of the actual humidity value acquisition.

[0042] Alternatively, methods for updating the actual humidity value also include:

[0043] S60: Obtain the curvature recovery time based on stress distribution information and corrugated specifications;

[0044] S61: Continuously obtain the actual recovery curvature and compare the consistency of adjacent actual recovery curvatures to collect the actual recovery time;

[0045] S62: Calculate the difference between the actual recovery time and the curvature recovery time as the time deviation value;

[0046] S63: The attenuation coefficient is obtained based on the duration deviation value and the corrugated specifications;

[0047] S64: Update the actual humidity value based on the attenuation factor.

[0048] By adopting the above technical solution, the attenuation coefficient is calculated by the deviation between the actual recovery time and the theoretical recovery time. This allows for the analysis of the decrease in the resilience of the carton caused by folding damage, and the correction of the collected actual humidity value accordingly. This reduces the impact of resilience attenuation on moisture discharge and further improves the accuracy of the humidity value.

[0049] Optional methods for verifying the attenuation coefficient include:

[0050] S70: Retrieve placement information from transportation information;

[0051] S71: Obtain the compression force based on the placement information and corrugated specifications;

[0052] S72: Collect the duration of marker appearance based on marker image information and stress change information;

[0053] S73: Update the attenuation coefficient based on the duration of the mark appearance and the pressure applied.

[0054] By adopting the above technical solution, the attenuation coefficient is dynamically verified based on the placement of the carton and the squeezing force of the surrounding stacks. This allows the attenuation coefficient to be closer to the actual transportation conditions, reduces the interference of stacking squeezing on the rebound ability, and further improves the accuracy and adaptability of humidity correction.

[0055] Optionally, methods following the output of humidity warning information include:

[0056] S80: Humidity range is obtained based on folding parameters;

[0057] S81: The blowing power is obtained based on the humidity range and the detected humidity parameters;

[0058] S82: Obtain the blowing direction based on the detection direction;

[0059] S83: Combine the blowing direction and blowing power to obtain blowing control information and blow the corrugated paper with marked image information.

[0060] By adopting the above technical solution, precise air blowing control commands are generated through humidity range, humidity detection parameters, and detection direction. This enables directional and quantitative air blowing intervention on damp areas of corrugated paper to accelerate moisture removal and thus ensure the quality of the corrugated paper.

[0061] Optionally, the methods following the output of humidity warning information also include:

[0062] S90: The duration of stress application is obtained based on stress distribution information;

[0063] S91: The actual duration of change is obtained based on the stress duration and the duration deviation value;

[0064] S92: Obtain the blowing frequency by the actual change duration and add the blowing frequency to the blowing control information.

[0065] By adopting the above technical solution, the actual change cycle of the opening and closing of the gap is obtained by measuring the stress duration, thereby synchronizing the blowing frequency with the rhythm of the opening and closing of the carton gap, and blowing when the gap is open to improve the efficiency of controlling moisture discharge.

[0066] Secondly, this application provides a wireless monitoring system for the humidity of corrugated paper during transportation, employing the following technical solution:

[0067] A wireless monitoring system for humidity control during corrugated paper transportation, comprising:

[0068] The acquisition module is used to acquire image detection information and transportation information;

[0069] A memory for storing a program for a wireless monitoring method of humidity in corrugated paper transportation;

[0070] The processor is used to load and execute programs stored in memory.

[0071] In summary, this application includes at least one of the following beneficial technical effects:

[0072] 1. By analyzing image detection information and transportation information to output humidity warning information, the humidity of corrugated paper can be identified by taking pictures of the corrugated paper, reducing the data deviation of humidity sensor monitoring, improving the accuracy of humidity identification of corrugated paper and providing timely prompts, and further improving the yield of corrugated paper during transportation.

[0073] 2. By calculating the attenuation coefficient based on the deviation between the actual recovery time and the theoretical recovery time, it is possible to analyze the decrease in the resilience of the carton caused by folding damage, and correct the collected actual humidity value accordingly, thereby reducing the impact of resilience attenuation on moisture discharge and further improving the accuracy of the humidity value.

[0074] 3. By measuring the duration of stress application, the actual cycle of the opening and closing of the gap can be obtained, thereby synchronizing the blowing frequency with the rhythm of the opening and closing of the carton gap, and blowing when the gap is open to improve the efficiency of controlling moisture discharge. Attached Figure Description

[0075] Figure 1 This is a flowchart of a method for wirelessly monitoring the humidity of corrugated paper during transportation, according to an embodiment of the present invention. Detailed Implementation

[0076] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0077] Reference Figure 1 This application discloses a wireless monitoring method for the humidity of corrugated paper during transportation, comprising the following steps:

[0078] S10: Acquire image detection information and transportation information.

[0079] Image detection information refers to images of corrugated paper captured by cameras during transportation. Transportation information refers to information such as speed changes, vibrations, and the position and quantity of corrugated paper in the transportation device. Transportation information is obtained by combining parameters such as speed and vibration detected by sensors pre-installed on the corrugated paper transportation device with information such as the position and quantity of corrugated paper input by the operator.

[0080] S11: Obtain a humidity change image by detecting image information and using preset humidity features.

[0081] The humidity feature is an image of the color change of corrugated paper due to humidity changes, set by the technician. The image with the humidity feature is identified from the image detection information as the humidity change image.

[0082] S12: Compare the humidity change image with the preset baseline humidity image to output humidity warning information, or determine the placement direction based on the image detection information.

[0083] The baseline humidity image is an image set by the technician when the humidity on the corrugated paper exceeds a threshold.

[0084] Humidity warning information is used to alert the operator when the humidity on the corrugated paper exceeds a threshold. By analyzing the consistency between the humidity change image and the reference humidity image, when the humidity change image is consistent with the reference humidity image, it indicates that the humidity on the corrugated paper in the image exceeds the threshold, and a humidity warning information is output to alert the operator.

[0085] The placement direction refers to the orientation of the corrugated paper during transportation. When the humidity change image is inconsistent with the baseline humidity image, it means that the humidity on the corrugated paper in the image has not exceeded the threshold, so no warning is triggered. The outline of the carton is extracted from the image detection information by edge detection (such as the Canny operator), and the geometric features of the outline are analyzed to obtain the placement direction of the corrugated paper. If there are printed patterns or text on the surface of the corrugated paper, the orientation can be determined by OCR or template matching.

[0086] In this embodiment, corrugated paper can be placed horizontally perpendicular to the ground or stacked vertically upwards during transportation.

[0087] S13: Obtain the marked image information based on the consistency between the placement direction and the preset detection direction.

[0088] The detection direction is set by the technician to capture the horizontal curvature changes of the corrugated paper and to ensure that the humidity characteristics are not easily captured. For example, if the image is captured in the same direction as the direction parallel to the corrugated paper, only the side curvature of the corrugated paper can be captured, and the surface of the corrugated paper cannot be captured.

[0089] The labeled image information refers to the image detection information whose placement direction is consistent with the detection direction. The labeled image information is obtained by retrieving images whose placement direction is consistent with the detection direction from various image detection information.

[0090] S14: Obtain stress distribution information based on labeled image information and transportation information.

[0091] Stress distribution information refers to the location, intensity, and direction of stress exerted on the corrugated paper marked with image information during transportation. This stress is obtained through finite element simulation (such as ANSYS or Abaqus) using transportation information, and the simulated location, intensity, and direction of stress transmission of the corrugated paper marked with image information are then extracted from the stress model as stress distribution information.

[0092] S15: Identify the curvature of the marker changes from the marker image information.

[0093] The mark change curvature refers to the curvature value of the corrugated paper in the mark image information as it bends under force. The mark change curvature is obtained by identifying the side curvature of the corrugated paper from the mark image information.

[0094] S16: Combines stress distribution information, preset corrugated specifications, and marked curvature changes to simulate and detect humidity parameters.

[0095] Corrugated specifications are the manufacturing and material specifications of corrugated paper set by technicians for use during transportation.

[0096] The humidity parameter detection refers to the humidity value on the corrugated paper based on the mechanical response inversion. A three-dimensional mechanical model of the corrugated paper with "humidity-stiffness-curvature" is established by using the corrugation specifications and stress distribution information, and the humidity value corresponding to the marked curvature change is retrieved from the three-dimensional mechanical model as the humidity parameter detection.

[0097] S17: Compare the detected humidity parameters with the preset baseline humidity threshold and output a humidity warning message if the humidity exceeds the threshold.

[0098] The baseline humidity threshold is the maximum allowable humidity threshold for corrugated paper during transportation, set by technicians. By analyzing the exceedance of the detected humidity parameter with the baseline humidity threshold, if the detected humidity parameter does not exceed the baseline humidity threshold, no warning is triggered and image verification continues.

[0099] When the detected humidity parameter exceeds the baseline humidity threshold, it indicates that the humidity on the corrugated paper exceeds the safe humidity, and a humidity warning message is output.

[0100] Verification methods for humidity parameters include:

[0101] S20: Obtain the curvature change threshold by using corrugated specifications and stress distribution information.

[0102] The curvature change threshold refers to the maximum allowable surface curvature of a corrugated paper stack under stress changes in its normal, folded state. Referring to S16, the maximum curvature that the corrugated paper can change under maximum stress in its normal, folded state is retrieved from the three-dimensional mechanical model as the curvature change threshold.

[0103] S21: Calculate the difference between the curvature change threshold and the marked curvature change as the curvature deviation value.

[0104] The curvature deviation value refers to the deviation between the curvature change threshold and the marked curvature change. The curvature deviation value is calculated by subtracting the difference between the curvature change threshold and the marked curvature change.

[0105] S22: Compare the curvature deviation value with the curvature change threshold to obtain the folding parameters by comparing the curvature deviation value with the preset folding verification method.

[0106] The folding verification method refers to a method used to check whether stacked corrugated paper has folds that affect humidity judgment.

[0107] Folding parameters refer to parameters such as the area, number of folds, and position of folds in stacked corrugated paper. By analyzing whether the curvature deviation value exceeds the curvature change threshold, if the curvature deviation value does not exceed the curvature change threshold, it means that the stacked corrugated paper has not folded, and no adjustment is made.

[0108] When the curvature deviation value exceeds the curvature change threshold, it indicates that the stacked corrugated paper has folded. The curvature deviation value is then analyzed using a folding verification method to obtain the folding parameters.

[0109] S23: Update the detected humidity parameters based on the folding parameters.

[0110] New humidity detection parameters are obtained by analyzing the folding parameters.

[0111] Folding verification methods include:

[0112] S30: Obtain the folding prediction shape through the curvature deviation value.

[0113] Fold prediction morphology refers to the inference of the geometric shape of internal folding defects in corrugated paper based on the spatial distribution characteristics of curvature deviation values. Image processing is performed on the curvature distribution map of the curvature deviation values ​​to extract the characteristics of the deviations: if the deviations are concentrated linearly and extend along a certain direction, they are linear creases. If the deviations are concentrated point-like and have a large surrounding curvature gradient, they are local indentations (such as foreign object compression or local folding). If the deviations are distributed planarly and the changes are gradual, they are large-area warping or interlayer separation. Finally, the fold prediction morphology is matched against a pre-set folding reference table based on the characteristics of the deviations.

[0114] The folding reference table stores the predicted folding shapes corresponding to the characteristics of different curvature deviation values. The parameters in the folding reference table are set in advance by those skilled in the art based on actual conditions and will not be elaborated here.

[0115] S31: Update transportation information and combine it with stress distribution information to obtain stress change information.

[0116] Stress change information refers to the information on stress changes in corrugated paper during transportation. Transportation information is re-collected to obtain new stress distribution information, and the difference between the corresponding data before and after the update is calculated and combined to form stress change information.

[0117] S32: Based on stress change information and corrugated specifications, the baseline recovery curvature is obtained.

[0118] The reference recovery curvature refers to the curvature recovery value of corrugated paper when subjected to stress changes in its normal, folded state. The curvature change value obtained by inputting stress change information into the three-dimensional mechanical model, as referred to in S16, is used as the reference recovery curvature.

[0119] S33: Update image detection information to obtain the actual restored curvature.

[0120] Actual restored curvature refers to the actual curvature recovered by corrugated paper when stress changes. By re-acquiring image detection information within the time period of updating transportation information to obtain the new mark change curvature, the difference between the mark change curvature before and after the update is calculated as the actual restored curvature.

[0121] S34: Compare the actual restored curvature with the reference restored curvature and combine it with the corrugated specifications to obtain the number of folds.

[0122] The number of folds refers to the number of times that stacked corrugated paper is folded. By analyzing the consistency between the actual recovery curvature and the reference recovery curvature, when the actual recovery curvature exceeds the reference recovery curvature, it indicates that the corrugated paper has been folded multiple times. The difference between the actual recovery curvature and the reference recovery curvature is then calculated as the deviation curvature. The number of folds is then matched with the corrugated paper specifications from the folding reference table.

[0123] The folding reference table stores the number of folds corresponding to different deviation curvatures and corrugated specifications. When the corrugated specifications remain unchanged, the larger the deviation curvature, the greater the number of folds, which will not be elaborated here.

[0124] S35: Obtain folding parameters based on the number of folds and the predicted folding shape.

[0125] The number of folds and the estimated fold shape are used as folding parameters.

[0126] Methods for updating humidity detection parameters include:

[0127] S40: Obtain the humidity output direction based on the folding parameters.

[0128] The humidity output direction refers to the direction in which the air containing moisture is expelled under vibration and compression when moisture accumulates inside the folded area. Referring to S16, the air output direction derived from a three-dimensional mechanical model and analysis based on the predicted folded shape, stress state, and stacking gaps is used as the humidity output direction.

[0129] S41: Combine stress change information, corrugated specifications, and folding parameters to obtain the air output flow rate.

[0130] Air output velocity refers to the velocity of air expelled from the fold gaps when corrugated paper is squeezed together. The volume change rate of the gap is estimated by folding parameters, and the instantaneous compression force is calculated based on the peak vibration acceleration in the stress change information. Finally, the air output velocity is matched with the volume change rate and the instantaneous compression force from a preset air output reference table.

[0131] The air output comparison table stores the air output flow rate corresponding to different volume change rates and instantaneous compression forces. The greater the volume change rate and instantaneous compression force, the greater the air output flow rate, which will not be elaborated here.

[0132] S42: Obtain the marked position based on the humidity output direction and the preset sensor position.

[0133] The sensor locations are set by technicians at various points inside the device used to load corrugated paper where humidity sensors are installed.

[0134] The marked position refers to the sensor position that is closest to the corrugated paper in the humidity output direction and is located on a straight line in the humidity output direction. A ray is drawn from the folded corrugated paper along the humidity output direction, and the sensor position closest to the folded corrugated paper on the ray is used as the marked position.

[0135] S43: Collect actual humidity values ​​by measuring air output flow rate and marker location, and update the detected humidity parameters based on the actual humidity values.

[0136] The actual humidity value refers to the humidity value detected by the humidity sensor at the marked location. The actual humidity value is obtained by analyzing the air output flow rate and collecting the humidity value detected by the humidity sensor at the marked location. The actual humidity value is then used as a new humidity detection parameter.

[0137] Methods for collecting actual humidity values ​​include:

[0138] S50: The air propagation distance is obtained based on the folding parameters and the marking position.

[0139] Air propagation distance refers to the distance between the corrugated paper with folding parameters and the marked position. It is calculated by retrieving the position point of the air compression output of the corrugated paper with folding parameters and calculating the straight-line distance between the position point and the marked position as the air propagation distance.

[0140] S51: The propagation time is obtained based on the air propagation distance and the air output velocity.

[0141] The propagation time refers to the length of time required for air to travel through the gaps in the folded corrugated paper to the marked position. The propagation time is calculated as the quotient of the air propagation distance and the air output velocity.

[0142] S52: Collect actual humidity values ​​based on transmission time.

[0143] When stress change information is detected, the actual humidity value of the humidity sensor at the marked location is collected after a delay in the propagation time.

[0144] Other methods for updating actual humidity values ​​include:

[0145] S60: Based on stress distribution information and corrugated specifications, the curvature recovery time is obtained.

[0146] Curvature recovery time refers to the theoretical time required for the surface curvature of corrugated paper to recover from maximum deformation to a stable state after experiencing a stress change in its normal, folded state. The curvature recovery time is determined by matching stress distribution information with corrugated specifications from a folding reference table.

[0147] The folding comparison table stores different stress distribution information and the curvature recovery time corresponding to the corrugated specifications. The greater the stress distribution information, the longer the curvature recovery time, which will not be elaborated here.

[0148] S61: Continuously obtain the actual recovery curvature and compare the consistency of adjacent actual recovery curvatures to collect the actual recovery time.

[0149] The actual recovery time refers to the time it takes for the corrugated paper to actually recover its curvature during transportation. Image detection information is continuously collected to obtain the actual recovery curvature and compare the consistency of adjacent actual recovery curvatures. When adjacent actual recovery curvatures are consistent, it indicates that the corrugated paper has recovered its curvature. Timing starts after the stress distribution is output and stops when adjacent actual recovery curvatures are consistent. The timing result is used as the actual recovery time.

[0150] S62: Calculate the difference between the actual recovery time and the curvature recovery time as the time deviation value.

[0151] The duration deviation value refers to the deviation between the actual recovery time and the curvature recovery time. It is calculated as the difference between the actual recovery time and the curvature recovery time.

[0152] S63: The attenuation coefficient is obtained based on the duration deviation value and the corrugated specifications.

[0153] The attenuation coefficient refers to the coefficient value of elastic decay in the folded part of corrugated paper. The attenuation coefficient is obtained by matching the time deviation value with the corrugated specifications from a preset attenuation reference table.

[0154] The attenuation reference table stores different duration deviation values ​​and corresponding attenuation coefficients for corrugated specifications. The larger the duration deviation value, the larger the attenuation coefficient. The parameters in the attenuation reference table are set in advance by those skilled in the art based on actual conditions and will not be elaborated here.

[0155] S64: Update the actual humidity value based on the attenuation factor.

[0156] The product of the actual humidity value and the attenuation coefficient is used as the new actual humidity value. The larger the attenuation coefficient, the larger the actual humidity value.

[0157] Methods for verifying the attenuation coefficient include:

[0158] S70: Retrieve placement information from transportation information.

[0159] Placement information refers to the specific location, orientation, and stacking relationship of the corrugated cardboard in the stack, which is obtained by retrieving placement information from the transportation information.

[0160] S71: Obtain the compression force based on the placement information and corrugated specifications.

[0161] Compression force refers to the static compression force exerted on each corrugated cardboard when it is placed in the surrounding cardboard boxes. Static compression force is simulated by inputting the placement information and corrugation specifications into a three-dimensional mechanical model, and the simulated force value is used as the compression force.

[0162] S72: Collect the duration of marker appearance based on marker image information and stress change information.

[0163] The mark appearance duration refers to the time elapsed from the occurrence of a stress change event to the first significant curvature change in the folded region on the image. Timing is started from the marked image information and stopped when stress change information appears. The timing result is used as the mark appearance duration.

[0164] S73: Update the attenuation coefficient based on the duration of the mark appearance and the pressure applied.

[0165] The correction coefficient is matched from the attenuation reference table by the duration of the mark and the pressure, and the product of the correction coefficient and the attenuation coefficient is calculated as the new attenuation coefficient.

[0166] The attenuation comparison table stores correction coefficients corresponding to different mark appearance durations and compression intensities. The longer the mark appearance duration and the greater the compression intensity, the larger the correction coefficient will be, which will not be elaborated here.

[0167] Methods following the output of humidity warning information include:

[0168] S80: The humidity range is obtained based on the folding parameters.

[0169] The humidity range refers to the range of humidity within the gaps where airflow intervention is required. The humidity range is calculated by retrieving the dimensions of the folding parameters and determining the area of ​​the gaps created on the side.

[0170] S81: The blowing power is obtained based on the humidity range and the detected humidity parameters.

[0171] The blowing power refers to the power of the blowing device to blow air onto the corrugated paper. The blowing power is determined by matching the humidity range with the detected humidity parameters from a preset blowing reference table. In this embodiment, the blowing device can be a fan or an air pump.

[0172] The blower power table stores different humidity ranges and corresponding humidity parameters. The larger the humidity range and the larger the humidity parameter, the greater the blower power, which will not be elaborated here.

[0173] S82: Obtain the blowing direction based on the detection direction.

[0174] The blowing direction refers to the direction in which the blowing device blows air onto the folded corrugated paper, and the detection direction is used as the blowing direction.

[0175] S83: Combine the blowing direction and blowing power to obtain blowing control information and blow the corrugated paper with marked image information.

[0176] Blowing control information refers to the instruction information used to control the blowing device. The blowing control information is obtained by combining the blowing direction and blowing power, and then the blowing control information is input to the blowing device to blow the corrugated paper with the marked image information.

[0177] Methods following the output of humidity warning information also include:

[0178] S90: The duration of stress application is obtained based on stress distribution information.

[0179] The stress duration refers to the estimated duration of stress occurrence, which is determined by matching the stress distribution information with a pre-set stress reference table.

[0180] The stress comparison table stores the estimated duration of events with different stress distribution information, and uses the estimated duration as the stress duration. The parameters in the stress comparison table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0181] S91: The actual duration of change is obtained based on the stress duration and the duration deviation.

[0182] The actual change duration refers to the average duration of the periodic opening and closing of the gaps in the folded corrugated paper during transportation due to stress changes. The actual change duration is calculated by summing the stress duration and the duration deviation.

[0183] S92: Obtain the blowing frequency by the actual change duration and add the blowing frequency to the blowing control information.

[0184] The blowing frequency refers to the periodic frequency of air blowing when the gaps of folded corrugated paper are opened and closed. The blowing frequency is obtained by using the actual change duration as the time interval period, and then the blowing frequency is added to the blowing control information.

[0185] Based on the same inventive concept, embodiments of the present invention provide a wireless monitoring system for the humidity of corrugated paper during transportation, comprising:

[0186] The acquisition module is used to acquire image detection information, transportation information, actual humidity value, actual recovery time, and marker appearance time.

[0187] A memory for storing a program for a wireless monitoring method of humidity in corrugated paper transportation;

[0188] The processor is used to load and execute programs stored in memory.

[0189] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0190] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A wireless monitoring method for the humidity of corrugated paper during transportation, characterized in that, include: S10: Acquire image detection information and transportation information; S11: Obtain a humidity change image by detecting image information and using preset humidity features; S12: Compare the humidity change image with the preset baseline humidity image to output humidity warning information, or determine the placement direction based on image detection information; S13: Obtain the marked image information based on the consistency between the placement direction and the preset detection direction; S14: Obtain stress distribution information based on labeled image information and transportation information; S15: Identify the curvature of the marker changes from the marker image information; S16: Combine stress distribution information, preset corrugated specifications, and marked curvature changes to simulate and detect humidity parameters; S17: Compare the detected humidity parameters with the preset baseline humidity threshold and output a humidity warning message if the humidity exceeds the threshold.

2. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 1, characterized in that, Verification methods for humidity parameters include: S20: Obtain the curvature change threshold by using corrugated specifications and stress distribution information; S21: Calculate the difference between the curvature change threshold and the marked curvature change as the curvature deviation value; S22: Compare the curvature deviation value with the curvature change threshold to obtain the folding parameters by comparing the curvature deviation value with the preset folding verification method; S23: Update the detected humidity parameters based on the folding parameters.

3. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 2, characterized in that, Folding verification methods include: S30: Obtain the folding prediction shape through the curvature deviation value; S31: Update transportation information and combine it with stress distribution information to obtain stress change information; S32: Based on stress change information and corrugated specifications, the baseline recovery curvature is obtained; S33: Update image detection information to obtain the actual restored curvature; S34: Compare the actual restored curvature with the reference restored curvature and combine it with the corrugated specifications to obtain the number of folds; S35: Obtain folding parameters based on the number of folds and the predicted folding shape.

4. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 3, characterized in that, Methods for updating humidity detection parameters include: S40: Humidity output direction is determined based on folding parameters; S41: Combine stress change information, corrugated specifications, and folding parameters to obtain the air output flow rate; S42: Obtain the marked position based on the humidity output direction and the preset sensor position; S43: Collect actual humidity values ​​by measuring air output flow rate and marker location, and update the detected humidity parameters based on the actual humidity values.

5. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 4, characterized in that, Methods for collecting actual humidity values ​​include: S50: The air propagation distance is obtained based on the folding parameters and the marked position; S51: The propagation time is obtained based on the air propagation distance and the air output velocity; S52: Collect actual humidity values ​​based on transmission time.

6. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 4, characterized in that, Other methods for updating actual humidity values ​​include: S60: Obtain the curvature recovery time based on stress distribution information and corrugated specifications; S61: Continuously obtain the actual recovery curvature and compare the consistency of adjacent actual recovery curvatures to collect the actual recovery time; S62: Calculate the difference between the actual recovery time and the curvature recovery time as the time deviation value; S63: The attenuation coefficient is obtained based on the duration deviation value and the corrugated specifications; S64: Update the actual humidity value based on the attenuation factor.

7. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 6, characterized in that, Methods for verifying the attenuation coefficient include: S70: Retrieve placement information from transportation information; S71: Obtain the compression force based on the placement information and corrugated specifications; S72: Collect the duration of marker appearance based on marker image information and stress change information; S73: Update the attenuation coefficient based on the duration of the mark and the pressure.

8. The wireless monitoring method for humidity of corrugated paper during transportation according to claim 7, characterized in that, Methods following the output of humidity warning information include: S80: Humidity range is obtained based on folding parameters; S81: The blowing power is obtained based on the humidity range and the detected humidity parameters; S82: Obtain the blowing direction based on the detection direction; S83: Combine the blowing direction and blowing power to obtain blowing control information and blow the corrugated paper with marked image information.

9. A wireless monitoring method for the humidity of corrugated paper during transportation according to claim 8, characterized in that, Methods following the output of humidity warning information also include: S90: The duration of stress application is obtained based on stress distribution information; S91: The actual duration of change is obtained based on the stress duration and the duration deviation value; S92: Obtain the blowing frequency by the actual change duration and add the blowing frequency to the blowing control information.

10. A wireless monitoring system for the humidity of corrugated paper during transportation, characterized in that, include: The acquisition module is used to acquire image detection information and transportation information; A memory for storing a program that implements a wireless monitoring method for the humidity of corrugated paper transport as described in any one of claims 1 to 9; The processor is used to load and execute programs stored in memory.

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