Paper product production process quality tracing method and system based on block chain

Abstract

The invention discloses a paper product production process quality traceability method and system based on a block chain, and relates to the technical field of industrial production quality management, and the method comprises the following steps: correspondingly sorting time stamps and detection spectrums of gift box production links around a quality traceability target, building a reflective region distribution map, and outputting a gold stamping position list; and based on the gold stamping position list, the incident direction of the detection light source is adjusted angle by angle, reflected signal intensities at different angles are collected, an overexposure area and a detection blank area are delimited according to the collected reflected signal intensities, and a reflection shielding record is generated. According to the method, dynamic incidence and compensation of a light source in a gold stamping area are achieved by constructing a light reflecting area distribution diagram and multi-angle reflection collection, overexposure and detection empty windows are avoided, and the detection stability is improved; and through a data filling inlet and rhythmic light source control, correction data and a production time mark are synchronously linked to form a complete quality traceability closed loop, and credible tracking of the whole production process of the paper product is realized.

Description

Technical Field

[0001] This invention relates to the field of industrial production quality management technology, specifically to a blockchain-based method and system for quality traceability in the paper product production process. Background Technology

[0002] Blockchain-based quality traceability in paper product manufacturing refers to the reliable on-chain storage of multi-source data from production, testing, packaging, and warehousing stages throughout the entire process of paper product manufacturing, printing, and packaging. This is achieved through the distributed ledger and immutability of blockchain. Big data processing technology is used to collect, compare, and identify anomalies in real time based on information such as optical inspection, environmental parameters, batch numbers, and time series data, thus constructing a traceable quality system covering the entire process. This method focuses on core product categories such as paper boxes, gift boxes, and tote bags. Through big data aggregation and analysis of the proportion, energy consumption, rework rate, and process differences of different paper products in production, key quality characteristic factors are extracted and written into the blockchain ledger as structured data, enabling full-cycle quality tracking from raw material entry to finished product delivery. Simultaneously, the system can utilize data mining algorithms to discover potential risks and improvement opportunities in long-tail products (such as stationery, photo albums, and calendars), supporting managers in optimizing process layout and testing priorities based on data weights. This forms a new paradigm for paper product production quality traceability supported by big data intelligent analysis and centered on reliable blockchain records.

[0003] The existing technology has the following shortcomings: In existing technologies, gift box packaging often uses highly reflective hot stamping materials to enhance its appearance and texture. However, these materials have high surface reflectivity, which can easily cause strong reflection or shielding of the detection spectrum during optical inspection. When inspection light shines on the hot stamping area, the reflected light can cause overexposure or signal saturation of the imaging probe, resulting in an image window in that area. At this time, the system cannot accurately identify subtle defects such as scratches, delamination, and misalignment within the hot stamping area, leading to omissions or misjudgments in the inspection data, resulting in inconsistencies between the inspection records and the actual quality status. Furthermore, in blockchain-based traceability of paper products, such blind spots can easily lead to missing data on the blockchain, creating gaps in the traceability ledger and making the product quality traceability chain incomplete, affecting subsequent batch verification and responsibility identification.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a blockchain-based method and system for quality traceability in the paper product manufacturing process, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a blockchain-based method for quality traceability in the paper product manufacturing process, comprising the following steps: To achieve the goal of quality traceability, the time markers of the gift box production process are matched with the detection spectra, a reflective area distribution map is established, and a list of hot stamping locations containing the coordinate information of the hot stamping area is output. Based on the hot stamping position list, the incident direction of the detection light source is adjusted from angle to angle, and the intensity of the reflection signal at different angles is collected. Based on the collected intensity of the reflection signal, the overexposed area and the detection blank area are defined, and a reflection occlusion record containing the reflection interference range data is generated. Based on the reflection occlusion record, by comparing batch image data with production time parameters, the location of missing defects in the detection blind zone is identified, a gap identification table containing defect coordinates and time stamps is generated, and the data filling entry point for optical detection compensation is determined. Based on the data entry, the movement rhythm and polarization switching sequence of the detection light source are replanned, sampling pause periods and misalignment buffer periods are set, and a reflection suppression scheme containing light source control parameters is generated. The rhythmic detection control is implemented according to the reflection suppression scheme. The detection image is corrected by alternating weak light atomization, periodic polarization rotation and step-by-step exposure window. The integrity of the hot stamping area image is restored during the detection process. The corrected detection data and production time mark are synchronized to the blockchain ledger to realize the quality traceability of the paper product production process.

[0007] Preferably, the steps for generating the hot stamping location list are as follows: During the operation of the gift box production line, time nodes are marked for each production stage according to the gift box process sequence, and spectral data is collected and detected simultaneously to ensure strict synchronization between the time markers and the spectral data. Based on the reflectance characteristics of the detection spectrum, a corresponding mapping relationship between time stamps and spectral data is constructed, so that the detection spectrum at each moment can be accurately located to the specific position in the production process. Based on the correspondence between time markers and spectra, a reflective area distribution map is constructed. Using the spatial coordinates of the gift box surface as a reference, areas with reflective intensity exceeding the threshold are marked as reflective areas. Based on the reflective area distribution map, a list of hot stamping locations containing the coordinate information of the hot stamping areas is output, and a time mark is added to each hot stamping area, so that the data of each location can be traced back to the specific time node and inspection process of the gift box production line.

[0008] Preferably, the steps for generating reflection occlusion records are as follows: After obtaining the output list of hot stamping locations, the relative positional relationship between the detection light source and the surface of the gift box is determined based on the coordinate information of the hot stamping area, and the incident angle and irradiation path of the light source are planned according to the center coordinates and boundary range of the hot stamping area. After adjusting the incident direction of the light source angle by angle, the intensity of the reflected signal at different angles was collected, and the reflected light intensity, reflection duration, spectral energy distribution and reflection position coordinates corresponding to each incident angle were formed into a complete data set. Based on the collected reflection signal intensity data, the reflection characteristics of the hot stamping area are analyzed to delineate the overexposed area and the detection blank area, and the spatial location is determined by the coordinate information in the hot stamping location list. By combining the reflected signal intensity data with the hot stamping location list, a reflection occlusion record containing reflective interference range data is generated to record the area coordinates, reflection intensity threshold, incident angle parameters, and the corresponding relationship of reflective interference.

[0009] Preferably, the intensity of the light source is kept stable during the acquisition of the reflected signal intensity, so that the change in the reflected signal intensity is only caused by the difference in the incident angle. The adjustment of the incident direction of the light source and the acquisition of the reflected signal are carried out simultaneously to ensure that the hot stamping area forms continuous reflection data under multi-angle illumination, thereby improving the accuracy of the delineation of the reflection interference range and the integrity of the reflection occlusion record.

[0010] Preferably, the steps for generating the gap identification table are as follows: After obtaining the generated reflection occlusion records, the correspondence between the reflection occlusion records and batch image data is established based on the reflection interference range data, and time synchronization and spatial alignment are achieved through the production time parameter. Based on the overexposed areas and blank areas marked in the reflection occlusion record, the defect features are compared with the batch image data to identify the location of scratches, delamination and indentation defects in the blind zone. By combining the spatial information in the reflection occlusion record with the temporal parameters of the batch image data, a notch identification table containing defect coordinates and time markers is generated, and the defects are classified according to the surface texture change characteristics. The data filling entry point is determined based on the defect coordinates and time markers in the defect identification table, and the data acquisition trigger point and time window are set in combination with the light source incident angle information to form a joint structure of spatial coordinates, time markers and illumination parameters.

[0011] Preferably, during the determination of the data filling entry point, the incident angle information of the light source is synchronously matched with the time window parameters. The light source adjusts the incident direction and illumination path in chronological order at the supplementary acquisition trigger point so that the re-acquired data covers the detection blank area and remains consistent with the original detection spectrum, thereby realizing the continuous recovery of the defect area image and the complete recording of data during the optical detection compensation process.

[0012] Preferably, the steps for generating the reflection suppression scheme are as follows: Based on the defect coordinate information, time markers and illumination parameters in the data filling entry, an initial planning model for the movement rhythm of the light source is established, and the light source illumination trajectory is redesigned according to the defect distribution and the location of the reflective interference area. Based on the illumination parameters in the data entry, the polarization switching sequence is planned, and the polarization rotation rhythm is controlled by the time marker as an index, so that the illumination direction of the light source and the polarization direction work together in space to disperse the reflected energy. Based on the time stamp and production rhythm parameters in the data filling entry, the sampling pause period and the staggered buffer period are set so that the detection sampling is temporarily stopped and the resumption is delayed during the unstable lighting stage to ensure data continuity; By combining the movement rhythm of the light source, the polarization switching sequence, the sampling pause period, and the misalignment buffer period, a reflection suppression scheme containing light source control parameters is generated to form an illumination control timeline and achieve illumination balance and complete imaging.

[0013] Preferably, when generating the reflection suppression scheme, the light source uses a combination of alternating polarized light irradiation and time-displaced sampling during the irradiation of the hot stamping area to disperse the reflected energy in the time and space dimensions, thereby achieving a dynamic balance of light intensity and maintaining the continuity and integrity of the image in the detection screen.

[0014] Preferably, rhythmic detection control is implemented according to the reflection suppression scheme. The detection image is corrected by alternating weak light fogging, periodic polarization rotation, and skip-step exposure windows. The corrected detection data is then synchronized with the production time stamp and uploaded to the blockchain ledger. Based on the light source control parameters in the reflection suppression scheme, the initialization process of rhythmic detection control is initiated. By coordinating the light source movement rhythm, polarization switching sequence and sampling timing, the illumination forms a dynamically controllable rhythmic illumination mode. During the alternating weak light atomization irradiation stage, the output power of the light source is adjusted and the light is diffused through atomization to form multi-directional scattering on the surface of the gift box in order to reduce the intensity of specular reflection. Implement periodic polarization rotation control to make the light source change its polarization direction within a set time interval to disperse the reflected light energy and maintain imaging balance; The system performs step-by-step exposure window correction, dynamically compensates for overexposed and blank image segments, and synchronizes the corrected detection data with the production time stamp to the blockchain ledger to achieve complete traceability of the detection data.

[0015] A blockchain-based quality traceability system for paper product manufacturing processes includes a reflectivity distribution construction module, a reflectivity feature acquisition module, a gap identification and generation module, a light source adjustment planning module, and an image correction and traceability module. The reflective distribution construction module, centered on the quality traceability goal, organizes the time markers of the gift box production process with the corresponding detection spectra, establishes a reflective area distribution map, and outputs a list of hot stamping locations containing hot stamping area coordinate information; The reflection feature acquisition module, based on the hot stamping position list, adjusts the incident direction of the detection light source at each angle, acquires the reflection signal intensity at different angles, delineates the overexposed area and the detection blank area based on the acquired reflection signal intensity, and generates a reflection occlusion record containing reflection interference range data. The notch recognition generation module, based on reflection occlusion records, compares batch image data with production time parameters to identify the location of missing defects in the detection blind zone, generates a notch recognition table containing defect coordinates and time stamps, and determines the data filling entry for optical detection compensation. The light source adjustment planning module, based on the data filling input, replans the movement rhythm and polarization switching sequence of the detection light source, sets the sampling pause period and the misalignment buffer period, and generates a reflection suppression scheme that includes light source control parameters; The image correction and traceability module executes rhythmic detection control according to the reflection suppression scheme. It corrects the detection image by alternating weak light fogging, periodic polarization rotation, and skip-step exposure window. During the detection process, it restores the integrity of the hot stamping area image and synchronizes the corrected detection data with the production time mark to the blockchain ledger to achieve quality traceability of the paper product production process.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention constructs a reflective area distribution map based on the correspondence between time stamps and detection spectra, and combines multi-angle reflection signal acquisition with reflective occlusion recording to enable dynamic incidence and precise compensation of the detection light source within the hot stamping area. This method effectively avoids overexposure and detection gaps caused by the high reflectivity of the hot stamping material, suppresses surface reflection interference on the gift box, and restores the continuity and integrity of the detection image, thereby ensuring the accuracy of defect identification and the stability of detection data during the optical inspection stage of the gift box.

[0017] This invention introduces a data filling entry point and a rhythmic light source control mechanism to achieve real-time correlation between detection data and production time markers. The corrected detection results are then synchronously uploaded to the blockchain ledger, ensuring the integrity and reliability of detection records during the paper product production process. This method creates a continuous closed loop of quality data in the traceability ledger, eliminating data gaps caused by reflective interference. It enables full-process tracking of the production, testing, and traceability information for each batch of products, effectively improving the transparency and traceability of paper product production quality management. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the blockchain-based paper product production process quality traceability method of the present invention.

[0020] Figure 2 This is a schematic diagram of the module of the blockchain-based paper product production process quality traceability system of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figure 1 The blockchain-based method for quality traceability in the paper product manufacturing process, as shown, includes the following steps: To achieve the goal of quality traceability, the time markers of the gift box production process are matched with the detection spectra, a reflective area distribution map is established, and a list of hot stamping locations containing the coordinate information of the hot stamping area is output. When conducting data processing and spectral mapping for gift box production to achieve quality traceability goals, a series of orderly steps can be used to accurately correlate time markers with detection spectra, thereby generating a reflective area distribution map and outputting a list of hot stamping locations containing coordinate information of the hot stamping areas. The specific implementation steps are as follows: During the operation of the gift box production line, with production quality traceability as the overall goal, each production stage is marked with a time node according to the process sequence of the gift box, and detection spectral data is collected synchronously at the corresponding detection points. The time markers and the detection spectral data collection must maintain a strict synchronization relationship. Each gift box workpiece is assigned a unique time marker when entering the detection area. The time marker records the real-time operating status of the production line, the position of the material, and the detection trigger time. The detection spectrum is continuous spectral information obtained by segmented scanning of the optical features of the gift box surface, including reflection, absorption, and scattering characteristics at different wavelengths. By continuously collecting this spectral data, a complete production detection data stream can be formed in the time dimension. At this point, the time marker information and the detection spectral data are recorded in a one-to-one correspondence, laying the foundation for subsequent spectral mapping and area identification. In this process, all data is continuously organized according to the production sequence, so that each time period corresponds to a spectral segment, thereby establishing the time sequence characteristics of the gift box during the detection process.

[0023] After the initial processing of time stamps and detection spectra, a mapping relationship between time stamps and spectral data needs to be established, with the reflectance characteristics of the detection spectra as the core. This mapping relationship describes the correlation between spectral changes and production time nodes, allowing the detection spectrum at each moment to be accurately located to its specific position in the production process. To ensure spatial consistency between spectral information and time stamps, the illumination range of the detection equipment, the surface morphology of the gift box, and the reflection angle need to be uniformly defined to ensure that spectral data collected at different times under the same illumination conditions accurately reflect the true optical reflectance characteristics of the gift box surface. Through this process, a bidirectional mapping structure between time series and spectral signals is formed, where each time node contains specific spectral feature values ​​to characterize the state changes of reflective areas on the gift box surface at a specific moment. The establishment of this correspondence allows subsequent reflective area identification to be cross-analyzed in both the time and spectral dimensions, thereby accurately delineating the spatial distribution of different reflective areas on the gift box surface.

[0024] After establishing the correspondence between time markers and spectra, a reflective area distribution map needs to be constructed based on this relationship. The reflective area distribution map is the result of spatial mapping and regional labeling of the reflection intensity corresponding to different detection spectra, using the spatial coordinates of the gift box surface as a reference. Specifically, firstly, the planar unfolded diagram or 3D surface model of the gift box is used as a reference coordinate system. Each spectral point in the time marker-spectral correspondence is mapped to a specific coordinate position on the gift box surface. The numerical range of reflection intensity is used as the criterion; areas with reflection signal intensity exceeding a threshold are labeled as reflective areas, while areas with reflection signals within the normal range are labeled as regular detection areas. Through this mapping method, the distribution range and boundary morphology of each reflective area can be clearly delineated on the spatial coordinate plane of the gift box. At this point, the reflective area distribution map not only includes the spatial distribution of the gold foil area of ​​the gift box but also records the detection spectral parameters associated with the time markers, making the reflective areas traceable in both the temporal and spatial dimensions. During the construction process, the boundary accuracy of the reflective areas can be further optimized by comparing the spectral change trends at different time points, making it more consistent with the actual reflection characteristics of the gift box surface.

[0025] After establishing the reflective area distribution map, a hot stamping location list containing the coordinates of the hot stamping areas needs to be output based on this map. The hot stamping location list extracts and structures the concentrated areas of reflection intensity in the reflective area distribution map; its core function is to transform complex spatial distribution information into an identifiable and manageable data list. In generating the hot stamping location list, firstly, based on the coordinate range of the peak reflection intensity areas in the reflective area distribution map, all areas with stable reflection signals and high reflectivity are extracted, and the center and boundary coordinates of these areas are recorded as key data. Then, combined with the aforementioned time stamp information, a time attribute is added to each hot stamping area, allowing each location data to be traced back to a specific time node and inspection stage in the gift box production line. This generated hot stamping location list not only clarifies the specific distribution location of the hot stamping areas on the gift box surface but also associates three core parameters: spectral characteristics, time series, and inspection coordinates, achieving synchronous association of spatial, temporal, and optical information. The hot stamping location list is ultimately output in the form of structured data, which can be directly called upon in subsequent reflection acquisition and inspection adjustment stages, ensuring a precise correspondence between the incident direction of the light source and the location of the hot stamping area.

[0026] Based on the hot stamping position list, the incident direction of the detection light source is adjusted from angle to angle, and the intensity of the reflection signal at different angles is collected. Based on the collected intensity of the reflection signal, the overexposed area and the detection blank area are defined, and a reflection occlusion record containing the reflection interference range data is generated. Based on the hot stamping position list, the incident direction of the detection light source is adjusted and the intensity of the reflected signal is acquired from multiple angles. This accurately delineates overexposed areas and blank detection areas and generates a reflection occlusion record containing data on the range of reflective interference. The specific implementation steps are as follows: After obtaining the output list of hot stamping locations, the relative positional relationship between the detection light source and the surface of the gift box is determined based on the coordinate information of the hot stamping areas. To ensure that each hot stamping area is covered, the incident angle of the detection light source is planned with the coordinate distribution in the hot stamping location list as the core. Specifically, based on the center coordinates and boundary range of each hot stamping area, the angle range and illumination path of the light source relative to the detection surface are determined. The key point of this stage is to establish the adjustability of the incident direction of the light source, so that the light source can gradually adjust the incident direction according to a predetermined angle sequence, thereby achieving full-angle illumination coverage throughout the entire detection area. The adjustment of the incident direction of the light source must not only consider the geometric characteristics of the gift box surface, but also the reflectivity of the hot stamping area, to ensure that complete reflection information can be captured at different angles. In this way, the illumination conditions are fully unfolded in space, providing a foundation for subsequent multi-angle acquisition of reflection signals. At the same time, all incident angle parameters correspond one-to-one with the coordinate information in the hot stamping location list, so that each incident direction can accurately correspond to a specific reflective area on the surface of the gift box, thereby establishing a mapping relationship between the movement path of the light source and the distribution of hot stamping areas.

[0027] After adjusting the incident direction of the light source angle by angle, the intensity of reflected signals at different angles is collected. The acquisition of reflected signals follows the change in the incident angle of the light source, sequentially acquiring the reflected light signals from different areas of the gift box surface at corresponding angles. The acquisition of reflected signal intensity is accomplished using an optical detection device, which maintains continuous scanning to ensure that the reflection information of all hot-stamped areas at different angles is completely captured. During the acquisition process, each incident angle corresponds to a complete set of reflection data, including reflected light intensity, reflection duration, spectral energy distribution, and reflection position coordinates. In this way, a multi-angle reflection signal sequence can be formed in the time dimension, ensuring that the optical reflection characteristics of each hot-stamped area are completely recorded in the angular domain. To ensure the continuity of reflection signal acquisition, the illumination light intensity is kept stable during the light source adjustment process, so that changes in reflected signal intensity are mainly caused by angular differences rather than light intensity fluctuations. At this point, the reflection signal data at different angles are gradually accumulated and matched with the hot-stamping position list to form a multi-angle reflection dataset, providing basic data support for subsequent area delineation.

[0028] Based on the collected reflection signal intensity data, the reflection characteristics of the hot stamping area are analyzed to delineate overexposed areas and detection blank areas. At this stage, by utilizing the intensity differences of reflection signals from multiple angles, it is possible to determine which areas exhibit overexposure at certain angles—that is, areas where the reflection signal intensity exceeds the identifiable threshold range. Simultaneously, it is also possible to identify which areas fail to generate effective reflection signals at specific angles due to light obstruction or reflection direction shift, thus forming detection blank areas. To ensure the accuracy of the delineation, each overexposed area and detection blank area is indexed by the coordinate information in the hot stamping location list, and its specific spatial location on the gift box surface is determined through coordinate mapping. In this process, the intensity gradient and spatial distribution of the reflection signal are comprehensively considered to distinguish between local reflection anomalies and overall reflection interference. The delineation results are represented in the form of spatial regions, each corresponding to a specific reflection characteristic range, thereby achieving spatial division of reflective interference in the hot stamping area. In this way, the reflective interference characteristics of the gift box surface during optical inspection are visualized, providing structured data for further generation of obstruction records.

[0029] After delineating overexposed areas and blank inspection areas, a reflection occlusion record containing data on reflective interference range is generated by combining reflective signal intensity data and a list of hot stamping locations. This record stores reflective interference information for each hot stamping area at different incident angles in a structured manner, including area coordinates, reflective intensity thresholds, incident angle parameters, and the correspondence between overexposed and blank inspection areas. To ensure data integrity, the reflection occlusion record integrates reflection results from all angles, forming an interference range map covering the entire inspection angle. This record reflects the spatial and angular distribution characteristics of reflective interference on the gift box surface, making the reflection state of each hot stamping area traceable. By combining the spatial characteristics of the reflective signal with time stamps, the reflection occlusion record accurately reflects the dynamic characteristics of optical reflection during the gift box production process. The generated reflection occlusion record not only provides a basis for subsequent defect identification and light source adjustment but also serves as a crucial data foundation for distinguishing between normal and abnormal reflections, enabling subsequent inspection stages to adopt differentiated lighting strategies for different reflective areas.

[0030] Based on the reflection occlusion record, by comparing batch image data with production time parameters, the location of missing defects in the detection blind zone is identified, a gap identification table containing defect coordinates and time stamps is generated, and the data filling entry point for optical detection compensation is determined. Based on the reflection occlusion record, the system identifies the location of missed defects within the detection blind zone and generates a notch identification table containing defect coordinates and time stamps. Simultaneously, it determines the data filling entry point for optical detection compensation. The entire process includes data association and organization, defect feature comparison, notch location generation, and filling entry point determination. The specific implementation steps are as follows: After obtaining the generated reflection occlusion record, a correspondence between the reflection occlusion record and batch image data is established based on the reflection interference range data in the record. The reflection occlusion record contains the spatial coordinates of each hot-stamped area on the gift box surface, the reflection interference range, the incident angle information, and the time stamp corresponding to the production stage. The batch image data comes from continuous imaging data during the gift box production and inspection process, containing images of the gift box surface and inspection marking information at different time periods. When performing data association, the batch image data and the reflection occlusion record are first synchronized in time according to the production time parameter, so that the image segments collected at the same time form a matching relationship with the corresponding reflection interference information. Then, in the spatial dimension, the coordinate information of the hot-stamped area is used to spatially align the batch image data, thereby achieving accurate superposition of the reflection occlusion area and the actual imaging area. This process ensures that all inspection areas covered by reflection interference can be accurately corresponding in the image data during subsequent defect identification, laying the foundation for locating missed defects. Through this two-dimensional alignment method of time and space, the reflection occlusion record and batch image data form a structured joint data framework, ensuring that the information of each area can be mapped to each other in subsequent analysis.

[0031] After establishing the data correspondence, the focus is on the overexposed areas and detection blank areas identified in the reflection occlusion records, comparing defect features with batch image data. The core of defect feature comparison lies in analyzing the differences in image continuity and surface texture between the occluded areas and the normal detection areas. Specifically, firstly, image segments corresponding to the reflection interference areas are extracted from the batch image data and compared with temporally adjacent normal detection segments to identify parts with discontinuities or abnormal brightness in spatial continuity. These abnormal areas typically manifest as abrupt changes in image grayscale, texture interruptions, or edge disappearances, reflecting the presence of potential defects in the detection blind zone that have not been identified. Secondly, the time stamps in the reflection occlusion records are introduced into the comparison process, allowing each abnormal area to be traced back to a specific production moment, thus establishing a correspondence between the time of defect occurrence and the production process. By comparing the multidimensional features of the reflection interference areas and normal areas, the locations of subtle defects such as scratches, delamination, and indentations that may exist in the detection blind zone can be determined. This process not only identifies the location distribution of missed defects but also reflects the process stages of defect formation based on the time stamps, giving defect identification a temporal correlation.

[0032] After completing the defect feature comparison, a notch identification table containing defect coordinates and time markers is generated by combining spatial information from the reflection occlusion record and temporal parameters from the batch image data. The notch identification table presents the location distribution of missed defects within the detection blind zone in a structured data manner. Its construction process includes three parts: spatial coordinate extraction, time marker association, and defect type labeling. Spatial coordinate extraction is based on the marked gold foil area boundary and reflective interference range in the reflection occlusion record, extracting the center position and boundary range of the defect area to form precise spatial positioning information. Time marker association utilizes the production time parameter in the batch image data to match each defect coordinate with the corresponding production time, ensuring that each defect entry contains both spatial coordinates and time markers. Defect type labeling categorizes defects according to their manifestations, such as texture breaks, local dark spots, or image disappearance, based on surface features in the image data. This ensures that the notch identification table not only contains defect location and time information but also records the surface appearance characteristics of the defects. The notch identification table generated in this way has a complete data structure and can be directly called in subsequent optical inspection and compensation stages, guiding the execution order of light source re-illumination and data re-acquisition.

[0033] Based on the generated gap identification table, the data replenishment entry point for optical inspection compensation is determined. The data replenishment entry point serves as a temporal and spatial reference point for re-acquiring or repairing data in blind spots. Its determination process requires combining the defect coordinates and time markers in the gap identification table. First, based on the spatial distribution of defect areas in the gap identification table, the coordinate centers of all blank inspection areas are extracted, and data replenishment trigger points are set at these locations. Then, based on the time markers corresponding to these coordinates, the corresponding time periods on the production line are determined, thus marking the time windows for data replenishment on the production process timeline. Next, combining the light source incident angle information from the reflection occlusion record, the data replenishment trigger points are combined with the light source control parameters, enabling the light source to automatically adjust its incident direction within these time windows to replenish missed data. Through this process, the data replenishment entry point forms a joint structure of spatial coordinates, time markers, and illumination parameters, providing a complete positioning basis for subsequent optical inspection compensation. This entry point not only determines the target location for re-acquisition but also clarifies the timing and illumination conditions for replenishment, enabling optical inspection to accurately recover the detection data of occluded areas during subsequent execution, achieving a complete closed loop of inspection information.

[0034] Based on the data entry, the movement rhythm and polarization switching sequence of the detection light source are replanned, sampling pause periods and misalignment buffer periods are set, and a reflection suppression scheme containing light source control parameters is generated. Based on the data supplementation input, the movement rhythm and polarization switching sequence of the detection light source were replanned, and sampling pause periods and offset buffer periods were set to generate a reflection suppression scheme that includes light source control parameters. The entire process uses the data supplementation input as the core input, gradually establishing a time control framework and spatial illumination rhythm for the light source's movement, enabling the light to create a controllable reflection suppression effect on the gold-plated area of ​​the gift box surface, thereby achieving a dynamic balance and reduction of light interference during the detection process. The specific implementation steps are as follows: After generating the data entry point, an initial planning model for the light source's movement rhythm is established based on the defect coordinate information, time markers, and illumination parameters. The time markers and spatial coordinates in the data entry point provide the triggering basis for illumination adjustment, while the illumination parameters are used to determine the adjustable boundaries of the light source's incident direction and illumination range. In this stage, the light source's movement path is redesigned based on the defect coordinate distribution and the spatial location of reflective interference areas, ensuring its illumination trajectory covers all areas requiring optical compensation. Subsequently, combined with the time marker parameters, the illumination sequence of the light source during production line operation is determined to ensure periodic illumination synchronized with the production rhythm. In planning the movement rhythm, the light source's movement speed and turning frequency are also adjusted based on the spatial spacing and reflection angle differences between the hot stamping areas, allowing for flexible switching between different areas and avoiding prolonged stays in highly reflective areas that could cause localized overexposure. In this way, the movement rhythm of the detection light source is redefined as a dynamic trajectory coupled with time and space, enabling flexible movement between multiple hot stamping areas while maintaining consistency between illumination intensity and detection synchronization.

[0035] After determining the movement rhythm of the light source, the polarization switching sequence is planned based on the illumination parameters recorded in the data entry. The purpose of setting the polarization switching sequence is to achieve an optimal angle combination between the illumination direction and the reflection direction, thereby reducing the specular reflection intensity of the hot stamping area. During implementation, firstly, based on the distribution of reflection interference intensity in the reflection obstruction record and notch identification table, the reflection directions of each hot stamping area are categorized, and the main reflection angle range for different areas is determined. Then, for each reflection angle range, the corresponding polarization direction is selected, and the time sequence of polarization rotation is determined, ensuring that the polarized light completes the direction switching according to the set time rhythm during the light source movement. The polarization switching sequence is set using a time marker as an index, and each polarization angle switch is synchronized with the movement rhythm of the light source to ensure that the illumination direction and polarization direction work synergistically in space. To prevent discontinuities in the detection data caused by illumination changes, the light intensity output is kept stable during polarization switching, allowing the light source to smoothly transition within the polarization rotation interval. In this way, the polarization state of the light source and the motion trajectory form a dynamic pattern that works together, so that when the detection light is reflected on the hot stamping surface, the reflected energy can be effectively dispersed, thereby reducing the occurrence of local bright areas and improving the imaging uniformity.

[0036] After determining the light source movement rhythm and polarization switching sequence, sampling pause periods and offset buffer periods are set based on the time stamps and production rhythm parameters in the data entry. The sampling pause period is set to avoid detection errors caused by the light source adjusting its direction or polarization state, allowing the optical detection equipment to temporarily stop sampling when the illumination state is unstable. Specifically, the light source movement trajectory is first decomposed into continuous illumination segments and direction adjustment segments, with the duration of the direction adjustment segment serving as the basis for the sampling pause period. Whenever the light source moves from one hot-stamping area to the next, the detection sampling process is temporarily interrupted at the instant the incident direction switches, to prevent data distortion caused by sudden changes in light direction. Simultaneously, a sampling pause period is also set within the polarization switching time interval to ensure the sampling point is always in a stable illumination phase. The offset buffer period is used to delay sampling for a certain time before it resumes, allowing the light source illumination direction and polarization state to fully stabilize before restarting sampling. The length of the offset buffer period is determined based on the light source movement speed and polarization switching cycle, ensuring that the illumination state has reached a stable equilibrium upon sampling resumption. By setting sampling pause periods and staggered buffer periods, the detection process avoids unnecessary missampling and illumination interference during the light source switching phase, thereby ensuring the continuity and accuracy of optical detection data.

[0037] After setting the light source movement rhythm, polarization switching sequence, sampling pause period, and misalignment buffer period, a reflection suppression scheme incorporating light source control parameters is generated by integrating the aforementioned parameters. This scheme integrates the light source movement rhythm, polarization switching sequence, and time control elements into an executable set of illumination control instructions. Using data filling as its logical core, the scheme binds the spatial coordinates, time markers, and illumination states of each detection blind zone, ensuring synchronization and continuity of light source control behavior across the time axis and spatial coordinate system. During scheme generation, the light source movement path, polarization angle switching sequence, and sampling control periods are first arranged chronologically to form a complete illumination control timeline. Subsequently, corresponding light source incident angle, illumination intensity, and polarization direction parameters are assigned to each time period, enabling each illumination unit to execute the optimal illumination state at a specific time and spatial location. The reflection suppression scheme also records the light source's buffer rhythm and illumination sequence during detection, allowing it to automatically adjust illumination based on reflection interference during operation. This scheme allows the light source to operate rhythmically and synchronously during the inspection process. In the hot stamping area, alternating polarized light illumination and time-staggered sampling effectively disperse reflective energy, maintaining balanced illumination and complete imaging of the inspection image. Ultimately, the resulting reflection suppression scheme provides a complete basis for light source control in subsequent rhythmic inspection execution, ensuring stable imaging quality during optical inspection in the gift box production process under different reflection environments.

[0038] The rhythmic detection control is implemented according to the reflection suppression scheme. The detection image is corrected by alternating weak light atomization, periodic polarization rotation and step-by-step exposure window. The integrity of the hot stamping area image is restored during the detection process. The corrected detection data and production time mark are synchronized to the blockchain ledger to realize the quality traceability of the paper product production process. The detection control is implemented according to a reflection suppression scheme. The detection image is corrected by alternating weak light fogging, periodic polarization rotation, and skip-step exposure window. This allows the image integrity of the hot stamping area to be dynamically restored during the detection process. The corrected detection data and production time stamp are then synchronized to the blockchain ledger to achieve quality traceability in the paper product production process. The specific implementation steps are as follows: After the reflection suppression scheme is generated, the initialization process of rhythmic detection control is initiated based on the recorded light source control parameters. This stage uses the light source movement rhythm, polarization switching sequence, and sampling timing as core control variables to create a dynamically controllable rhythmic illumination pattern on the gift box surface. The key to rhythmic detection control lies in establishing a time-coordinated relationship between the illumination rhythm and the detection sampling, coordinating illumination, polarization, exposure, and sampling processes through time segmentation. In this stage, firstly, according to the light source movement path set in the reflection suppression scheme, the continuous operation of the light source is initiated, causing the illumination direction to move along the spatial distribution of the hot-stamped area on the gift box surface. Simultaneously, according to the light source rhythm parameters defined in the scheme, the illumination output is temporally modulated, causing the illumination intensity to change slightly at a controllable rhythm during continuous operation, creating an optical fogging effect and providing a balanced illumination background for the subsequent low-light illumination stage. During this process, the light source movement and sampling commands operate synchronously, ensuring that the illumination state and sampling window correspond at each moment, thus providing a rhythmic basis for subsequent reflection suppression and image correction.

[0039] After completing the rhythmic control initialization, the system enters the alternating weak light atomization irradiation stage. This stage aims to reduce the high-brightness reflection caused by specular reflection in the hot stamping area by combining weak light irradiation with atomized light diffusion. Specifically, firstly, based on the illumination parameters in the reflection suppression scheme, the output power of the light source is adjusted to keep the irradiation intensity in a stable low-energy range, ensuring that the light does not produce saturated reflection when irradiating the hot stamping area. Subsequently, by introducing an atomizing medium or atomizing light-transmitting device into the light path, the light is uniformly diffused during propagation, thus softening the light irradiating the gift box surface. In this way, the reflected light from the hot stamping area is no longer concentrated in a single direction, but forms multi-directional scattering locally, effectively reducing the intensity of reflected light returning to the imaging probe. To further improve illumination uniformity, during the weak light irradiation process, the incident direction of the light source is kept slightly oscillating, causing the illumination angle to change continuously over time, ensuring that the hot stamping area receives adequate illumination coverage from different directions. This process creates an optical illumination field dominated by weak light diffusion, which uniformly disperses the reflected energy of the hot stamping area, providing a good lighting basis for reflection compensation in the subsequent polarization rotation stage.

[0040] After establishing a softened lighting environment during weak light atomization irradiation, a periodic polarization rotation phase is executed. The purpose of polarization rotation is to further reduce the high reflectivity interference caused by directional reflection from the hot stamping surface, gradually dispersing the reflected light as the polarization angle changes. Specifically, polarization rotation control is initiated first, according to the polarization switching sequence in the reflection suppression scheme, causing the light source to complete periodic polarization direction changes within a set time interval. The adjustment of the polarization angle is synchronized with the movement rhythm of the light source, ensuring a continuous spatial change in polarization direction and illumination direction, resulting in different reflection modes on the gift box surface under different polarized light irradiation. To ensure the stability of the polarization rotation process, the rate of change of the polarization angle is matched to the operating speed of the light source, making the illumination change within each polarization cycle smooth and continuous. During polarization rotation, the direction of reflected light from the hot stamping area constantly changes, and the intensity of reflected light fluctuates over time, effectively preventing the accumulation of reflections in a fixed direction. At this time, the detection device can collect reflection data from multiple directions under different polarization states, obtaining complete optical image information of the hot stamping area through time superposition. The period of polarization rotation corresponds to the sampling window time, ensuring that detection sampling is performed within the polarization change interval, thereby guaranteeing uniform and stable illumination during image acquisition. Through this process, reflective interference in the hot stamping area is dynamically reduced during imaging, image details are restored, and the brightness and contrast of the detected image remain balanced over time.

[0041] After completing the weak-light atomization illumination and periodic polarization rotation, the system enters the skip-exposure window correction stage, simultaneously performing data uploading. The core purpose of skip-exposure window correction is to dynamically compensate for overexposed or blank image segments during continuous detection. In implementation, the time interval and skip sequence of the exposure window are first set according to the exposure control parameters in the reflection suppression scheme, allowing the detection device to selectively open exposure sampling at different time periods. When a gold-plated area appears in the detection image, the system automatically skips the moment of strong reflection in that area, delaying the exposure window until the reflected light intensity has decayed, thus avoiding overexposed signals without interrupting the detection continuity. Simultaneously, for blank areas formed in previous detections, the exposure window reopens in a time-staggered manner, capturing the image signal after supplementary illumination and reflection, thus restoring the image of the gold-plated area. Through the control of skip-exposure, the detection image achieves intermittent compensation in time and continuous restoration in space, thereby keeping the image of the gold-plated area intact in the imaging image. After image correction, the corrected inspection data is synchronized with the gift box production time stamp. Each data segment is then linked to its corresponding production stage using a time index. Finally, the corrected inspection data is recorded in a structured format in a blockchain ledger, creating a two-way traceable mapping between each data point and the production time stamp. This ensures complete recording and reliable storage of inspection data during quality traceability. The immutability of the blockchain ledger guarantees the authenticity and continuity of the inspection data throughout its entire lifecycle, making quality information during production verifiable and reliable.

[0042] This invention constructs a reflective area distribution map based on the correspondence between time stamps and detection spectra, and combines multi-angle reflection signal acquisition with reflective occlusion recording to enable dynamic incidence and precise compensation of the detection light source within the hot stamping area. This method effectively avoids overexposure and detection gaps caused by the high reflectivity of the hot stamping material, suppresses surface reflection interference on the gift box, and restores the continuity and integrity of the detection image, thereby ensuring the accuracy of defect identification and the stability of detection data during the optical inspection stage of the gift box.

[0043] This invention introduces a data filling entry point and a rhythmic light source control mechanism to achieve real-time correlation between detection data and production time markers. The corrected detection results are then synchronously uploaded to the blockchain ledger, ensuring the integrity and reliability of detection records during the paper product production process. This method creates a continuous closed loop of quality data in the traceability ledger, eliminating data gaps caused by reflective interference. It enables full-process tracking of the production, testing, and traceability information for each batch of products, effectively improving the transparency and traceability of paper product production quality management.

[0044] This invention provides, for example Figure 2The blockchain-based paper product production process quality traceability system shown includes a reflectivity distribution construction module, a reflectivity feature acquisition module, a notch identification and generation module, a light source adjustment planning module, and an image correction traceability module. The reflective distribution construction module, centered on the quality traceability goal, organizes the time markers of the gift box production process with the corresponding detection spectra, establishes a reflective area distribution map, and outputs a list of hot stamping locations containing hot stamping area coordinate information; The reflection feature acquisition module, based on the hot stamping position list, adjusts the incident direction of the detection light source at each angle, acquires the reflection signal intensity at different angles, delineates the overexposed area and the detection blank area based on the acquired reflection signal intensity, and generates a reflection occlusion record containing reflection interference range data. The notch recognition generation module, based on reflection occlusion records, compares batch image data with production time parameters to identify the location of missing defects in the detection blind zone, generates a notch recognition table containing defect coordinates and time stamps, and determines the data filling entry for optical detection compensation. The light source adjustment planning module, based on the data filling input, replans the movement rhythm and polarization switching sequence of the detection light source, sets the sampling pause period and the misalignment buffer period, and generates a reflection suppression scheme that includes light source control parameters; The image correction and traceability module executes rhythmic detection control according to the reflection suppression scheme. It corrects the detection image by alternating weak light fogging, periodic polarization rotation, and skip-step exposure window. During the detection process, it restores the integrity of the hot stamping area image and synchronizes the corrected detection data with the production time mark to the blockchain ledger to achieve quality traceability of the paper product production process.

[0045] The blockchain-based paper product production process quality traceability method provided in this embodiment of the invention is implemented through the aforementioned blockchain-based paper product production process quality traceability system. For details of the specific methods and processes of the blockchain-based paper product production process quality traceability system, please refer to the embodiments of the aforementioned blockchain-based paper product production process quality traceability method, which will not be repeated here.

[0046] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A blockchain-based method for quality traceability in the paper product manufacturing process, characterized in that: Includes the following steps: To achieve the goal of quality traceability, the time markers of the gift box production process were matched with the detection spectra to create a reflective area distribution map and output a list of hot stamping locations. Based on the hot stamping location list, the incident direction of the detection light source is adjusted from angle to angle, and the intensity of the reflection signal at different angles is collected. Based on the collected intensity of the reflection signal, the overexposed area and the detection blank area are defined, and a reflection occlusion record is generated. Based on the reflection occlusion record, by comparing the batch image data with the production time parameters, the location of the missing defect in the detection blind zone is identified, a defect identification table is generated, and the data filling entry point is determined; Based on the data entry point, the movement rhythm and polarization switching sequence of the detection light source are re-planned, sampling pause periods and misalignment buffer periods are set, and a reflection suppression scheme is generated. The rhythmic detection control is implemented according to the reflection suppression scheme. The detection image is corrected by alternating weak light fogging, periodic polarization rotation and skip exposure window. The integrity of the hot stamping area image is restored during the detection process, and the corrected detection data is synchronized with the production time mark and uploaded to the blockchain ledger.

2. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 1, characterized in that, The steps to generate the hot stamping location list are as follows: During the operation of the gift box production line, time nodes are marked for each production stage according to the gift box process sequence, and spectral data is collected and detected simultaneously to ensure strict synchronization between the time markers and the spectral data. Based on the reflectance characteristics of the detection spectrum, a corresponding mapping relationship between time stamps and spectral data is constructed, so that the detection spectrum at each moment can be accurately located to the specific position in the production process. Based on the correspondence between time markers and spectra, a reflective area distribution map is constructed. Using the spatial coordinates of the gift box surface as a reference, areas with reflective intensity exceeding the threshold are marked as reflective areas. Based on the reflective area distribution map, a list of hot stamping locations containing the coordinate information of the hot stamping areas is output, and a time mark is added to each hot stamping area, so that the data of each location can be traced back to the specific time node and inspection process of the gift box production line.

3. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 2, characterized in that, The steps for generating reflection occlusion records are as follows: After obtaining the output list of hot stamping locations, the relative positional relationship between the detection light source and the surface of the gift box is determined based on the coordinate information of the hot stamping area, and the incident angle and irradiation path of the light source are planned according to the center coordinates and boundary range of the hot stamping area. After adjusting the incident direction of the light source angle by angle, the intensity of the reflected signal at different angles was collected, and the reflected light intensity, reflection duration, spectral energy distribution and reflection position coordinates corresponding to each incident angle were formed into a complete data set. Based on the collected reflection signal intensity data, the reflection characteristics of the hot stamping area are analyzed to delineate the overexposed area and the detection blank area, and the spatial location is determined by the coordinate information in the hot stamping location list. By combining the reflected signal intensity data with the hot stamping location list, a reflection occlusion record is generated to record the corresponding relationship of area coordinates, reflection intensity threshold, incident angle parameters, and reflective interference.

4. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 3, characterized in that, During the acquisition of reflected signal intensity, the intensity of the light source is kept stable so that the change in reflected signal intensity is caused only by the difference in the incident angle. The adjustment of the incident direction of the light source is carried out synchronously with the acquisition of reflected signal to ensure that the hot stamping area forms continuous reflection data under multi-angle illumination.

5. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 3, characterized in that, The steps for generating the gap identification table are as follows: After obtaining the generated reflection occlusion records, the correspondence between the reflection occlusion records and batch image data is established based on the reflection interference range data, and time synchronization and spatial alignment are achieved through the production time parameter. Based on the overexposed areas and blank areas marked in the reflection occlusion record, the defect features are compared with the batch image data to identify the location of scratches, delamination and indentation defects in the blind zone. By combining the spatial information in the reflection occlusion record with the temporal parameters of the batch image data, a defect identification table is generated, and the defects are classified according to the surface texture change characteristics. The data filling entry point is determined based on the defect coordinates and time markers in the defect identification table, and the data acquisition trigger point and time window are set in combination with the light source incident angle information to form a joint structure of spatial coordinates, time markers and illumination parameters.

6. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 5, characterized in that, During the process of determining the data supplementation entry point, the incident angle information of the light source is synchronously matched with the time window parameters. At the supplementation trigger point, the incident direction and irradiation path of the light source are adjusted in chronological order so that the re-acquired data covers the detection blank area and remains consistent with the original detection spectrum.

7. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 5, characterized in that, The steps for generating a reflection suppression scheme are as follows: Based on the defect coordinate information, time markers and illumination parameters in the data filling entry, an initial planning model for the movement rhythm of the light source is established, and the light source illumination trajectory is redesigned according to the defect distribution and the location of the reflective interference area. Based on the illumination parameters in the data entry, the polarization switching sequence is planned, and the polarization rotation rhythm is controlled by the time marker as an index, so that the illumination direction of the light source and the polarization direction work together in space to disperse the reflected energy. Based on the time stamp and production rhythm parameters in the data filling entry, the sampling pause period and the staggered buffer period are set so that the detection sampling is temporarily stopped and the resumption is delayed during the unstable lighting stage to ensure data continuity; A reflection suppression scheme is generated by integrating the movement rhythm of the light source, the polarization switching sequence, the sampling pause period, and the misalignment buffer period, so as to form an illumination control timeline and achieve illumination balance and complete imaging.

8. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 7, characterized in that, When generating the reflection suppression scheme, the light source combines alternating polarized light illumination with time-staggered sampling during the illumination of the hot stamping area, so that the reflected energy is dispersed in the time and space dimensions, thereby achieving a dynamic balance of light intensity and maintaining the continuity and integrity of the image in the detection screen.

9. The blockchain-based method for quality traceability in the paper product manufacturing process according to claim 7, characterized in that, The detection control is performed in a rhythmic manner according to the reflection suppression scheme. The detection image is corrected by alternating weak light fogging, periodic polarization rotation and skip-step exposure window, and the corrected detection data is synchronized with the production time mark and uploaded to the blockchain ledger. Based on the light source control parameters in the reflection suppression scheme, the initialization process of rhythmic detection control is initiated. By coordinating the light source movement rhythm, polarization switching sequence and sampling timing, the illumination forms a dynamically controllable rhythmic illumination mode. During the alternating weak light atomization irradiation stage, the output power of the light source is adjusted and the light is diffused through atomization to form multi-directional scattering on the surface of the gift box in order to reduce the intensity of specular reflection. Implement periodic polarization rotation control to make the light source change its polarization direction within a set time interval to disperse the reflected light energy and maintain imaging balance; The system performs step-by-step exposure window correction, dynamically compensates for overexposed and blank image segments, and synchronizes the corrected detection data with the production time stamp to the blockchain ledger to achieve complete traceability of the detection data.

10. A blockchain-based quality traceability system for paper product manufacturing processes, used to implement the blockchain-based quality traceability method for paper product manufacturing processes as described in any one of claims 1-9, characterized in that, It includes a reflectance distribution construction module, a reflectance feature acquisition module, a notch recognition and generation module, a light source adjustment planning module, and an image correction and source tracing module: The reflective distribution construction module, centered on the goal of quality traceability, organizes the time markers of the gift box production process with the corresponding detection spectra, establishes a reflective area distribution map, and outputs a list of hot stamping locations; The reflection feature acquisition module, based on the hot stamping position list, adjusts the incident direction of the detection light source angle by angle, acquires the reflection signal intensity at different angles, and delineates the overexposed area and the detection blank area according to the acquired reflection signal intensity, generating a reflection occlusion record. The defect identification and generation module, based on reflection occlusion records, compares batch image data with production time parameters to identify the location of missing defects in the detection blind zone, generates a defect identification table, and determines the data filling entry point; The light source adjustment planning module, based on the data filling input, re-plans the movement rhythm and polarization switching sequence of the detection light source, sets the sampling pause period and the misalignment buffer period, and generates a reflection suppression scheme. The image correction and tracing module executes rhythmic detection control according to the reflection suppression scheme. It corrects the detection image by alternating weak light fogging, periodic polarization rotation, and skip-step exposure window. During the detection process, it restores the integrity of the hot stamping area image and synchronizes the corrected detection data with the production time mark to the blockchain ledger.

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