A method for tracking and managing the production process of wooden pallets

Abstract

This invention discloses a method for tracking and managing the production process of wooden pallets, specifically relating to the field of wooden pallet production technology. By constructing data on damp heat status, damp heat lag characterization quantities, and internal damp heat imbalance evolution functions and internal damp heat release evolution functions, the method can quantitatively identify the potential damp heat lag accumulation state inside the wood at the end of the drying process. Based on the internal damp heat imbalance evolution function and internal damp heat release evolution function, the method calculates delayed quality risk indicators that may cause warping and cracking of wooden pallet components after drying. The delayed quality risk indicators are then linked to the process identifiers of the wooden pallets throughout the entire process, forming a continuous and traceable production process tracking data chain, thereby improving the accuracy of locating the root cause process when tracing back to the source of quality anomalies.

Description

Technical Field

[0001] This invention relates to the field of wooden pallet production technology, and more specifically, to a method for tracking and managing the production process of wooden pallets. Background Technology

[0002] In the large-scale production of wooden pallets, the drying process is a critical step affecting structural stability and service life, essentially involving a complex physical process involving the coupling of moisture migration and heat conduction within the wood. Due to the significant heterogeneity of the wood's internal structure, moisture typically diffuses in a gradient from the surface inwards during drying, and the evolution of the internal humid and thermal state lags significantly behind that of the surface. When production cycles are accelerated or drying periods are compressed, conventional surface moisture content measurements often reach equilibrium before the internal moisture content, resulting in a situation where surface parameters meet process requirements while the core remains in a high-humidity state. This lag in internal humid and thermal state continues to evolve during natural cooling and environmental adaptation after drying, easily inducing delayed quality problems such as secondary warping and cracking of pallet components under the influence of temperature and humidity redistribution and residual internal stress release. However, existing methods for tracking and managing the production process of wooden pallets typically record the drying process as a single, discrete completion point, focusing only on whether drying is finished and the surface inspection results. They lack effective characterization and correlation management of the continuous changes in the internal moisture and heat state of the wood over time. This makes it difficult for process tracking data to reflect the true formation path and timing of quality risks, making it impossible to accurately locate the root process when retrospectively tracing subsequent quality anomalies. Consequently, this limits the improvement of refined control and quality early warning capabilities in the production process. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a method for tracking and managing the production process of wooden pallets to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: A method for tracking and managing the production process of wooden pallets includes the following steps: The surface temperature, ambient humidity, drying time, wood thickness, and initial moisture content of the wooden pallet components entering the drying process are obtained to construct the humid heat state data. Based on the aforementioned damp heat state data, a time-series analysis was performed on the changes in surface and internal moisture content of the wood to extract the stage where the surface moisture content meets the standard and the stage where the internal moisture content lags behind. Based on the proportion of the stage where the internal moisture content lags behind within the drying cycle, a damp heat lag characterization quantity was calculated. Based on the aforementioned moisture and heat hysteresis characterization quantity and drying temperature change characteristics, an internal moisture and heat imbalance evolution function is constructed for the wood, and combined with the cooling environment parameters after drying, an internal moisture and heat release evolution function is obtained. Based on the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function of the wood, the delayed quality risk index is calculated; The delayed quality risk indicators are associated with the corresponding production process identifiers of wooden pallets to form a continuous production process tracking data chain; The completion status of the drying process is graded and marked according to the delayed quality risk index, and when the delayed quality risk index exceeds a preset threshold, the corresponding wooden pallet is subjected to production process intervention treatment that matches the delayed quality risk index.

[0005] In a preferred embodiment, the process of acquiring information on the surface temperature, ambient humidity, drying time, wood thickness, and initial moisture content of the wooden pallet components entering the drying process, and constructing the humid heat state data, is as follows: Several temperature and humidity collection points are set up along the length, width and thickness of the wooden pallet components in the drying equipment. Surface temperature sensor and ambient humidity sensor are set up at the collection points to collect surface temperature data and ambient humidity data, respectively. A uniform sampling time interval is set for the surface temperature data and the ambient humidity data, and a time identifier is added to each sampled data to obtain temperature and humidity time series data; Before the wooden pallet components enter the drying process, geometric parameters and initial state parameters are obtained, including the overall thickness of the components, the stacking structure of each layer of boards, and the initial moisture content. Based on the wood thickness parameters, the wooden pallet component is divided into several virtual humid heat layer zones along the thickness direction. The layer zone near the surface is defined as the surface area, and the layer zone far from the surface is defined as the internal area. Combining the time-series data of surface temperature, time-series data of ambient humidity, and initial moisture content information, the moisture content variation relationship of each virtual humid heat layer is constructed according to the coupling relationship between moisture diffusion and heat conduction. The final result is a set of humid and thermal state data including surface temperature, ambient humidity, drying time, wood thickness, and the trend of moisture content changes in the layer.

[0006] In a preferred embodiment, based on the wet and heat state data, a time-series analysis is performed on the changes in surface and internal moisture content of the wood to extract the surface moisture content reaching the standard stage and the internal moisture content lag stage. The process of calculating the wet and heat lag characterization quantity based on the proportion of the internal moisture content lag stage within the drying cycle is as follows: From the humid heat data, the moisture content time-series curves of the surface and internal regions of the wood were extracted during the entire drying cycle. The surface moisture content was denoted as... The internal moisture content is recorded as , Indicates drying time; A threshold determination is performed on the surface moisture content time series curve. A threshold for surface moisture content compliance is set. When the surface moisture content is less than or equal to the threshold for surface moisture content compliance, the corresponding time interval is determined as the surface moisture content compliance stage. During the stage where the surface moisture content meets the standard, the internal moisture content time-series curve is synchronously detected. When the rate of change of internal moisture content is less than or equal to the preset internal drying rate threshold, the corresponding time interval is determined to be the internal moisture content lag stage. The duration of all internal moisture content lag stages within the drying cycle is accumulated to obtain the duration of internal moisture content lag, and the total drying time of the entire drying process is recorded as ; The wet heat hysteresis characterization quantity is calculated based on the duration of the internal moisture content hysteresis and the total drying time.

[0007] In a preferred embodiment, the process of constructing an internal moisture and heat imbalance evolution function of wood based on the moisture and heat hysteresis characterization quantity and drying temperature change characteristics, and combining it with the cooling environment parameters after drying, to obtain the internal moisture and heat release evolution function is as follows: At the end of the drying process, the temperature change characteristic parameters of the corresponding wooden pallet component during the drying cycle are extracted, including the average temperature gradient and equivalent temperature difference, and the temperature change characteristics are correlated with the wet heat hysteresis characterization quantity. Based on the aforementioned wet-heat hysteresis characterization quantity and drying temperature change characteristics, an evolution function of the internal wet-heat imbalance in wood is constructed. After the wooden pallet components are removed from the oven, environmental parameters during the cooling stage are obtained, including the cooling ambient temperature and humidity. Based on the cooling environment parameters, the internal humid heat imbalance evolution function is extended over time to construct the internal humid heat release evolution function.

[0008] In a preferred embodiment, the process of calculating the delayed quality risk index based on the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function of the wood is as follows: Based on the evolution function of uneven internal moisture and heat and the evolution function of internal moisture and heat release, the characteristics of cumulative moisture and heat intensity and release rate during the period from the end of drying to the cooling stage are extracted respectively. The evolution function of internal moisture and heat imbalance at the initial moment of exiting the oven. The function value is denoted as ; The release rate term of the internal humid heat release evolution characteristics during the cooling stage is taken as the internal humid heat gradient release characteristics. Based on the function value and release rate term of the internal moisture and heat imbalance evolution function at the initial moment of drying, a moisture and heat induced structural response function for wood is constructed. By combining the geometry and material strength of the wooden pallet components, the delayed quality risk index is calculated.

[0009] In a preferred embodiment, the process of associating the delayed quality risk index with the corresponding production process identifier of the wooden pallet to form a continuous production process tracking data chain is as follows: Each wooden pallet component entering the production line is assigned a unique pallet identifier, and a corresponding process identifier is generated when it flows to each production process node. After the drying process is completed, the calculated delayed quality risk index is bound to the corresponding pallet identifier, and the drying process identifier and timestamp information are attached to obtain the risk process association record. Based on the sequence of production processes, the risk process association records are sorted according to the timeline and linked with the process data generated by the pallet identifier in the production process to construct a process status sequence with the pallet identifier as the main index. The process state sequence is linked according to the process order to form a continuous process tracking vector.

[0010] In a preferred embodiment, the process of classifying and marking the completion status of the drying process according to the delayed quality risk index, and performing production process intervention treatment matching the delayed quality risk index on the corresponding wooden pallet when the delayed quality risk index exceeds a preset threshold, is as follows: Obtaining delayed quality risk indicators from the production process tracking data chain The drying completion status is divided into three levels: low risk, warning risk, and high risk, with a low-risk threshold set. High-risk threshold ,in The judgment rule is as follows: when When the risk level is determined to be low, it is marked as a low-risk status. ; when When this occurs, it is determined to be a risk warning and marked as a risk warning status. ; when When the risk level is high, it is marked as a high-risk state. ; The drying process grading markers are then associated with the corresponding tray identifiers, and the tray status records are updated accordingly. For those identified as high-risk The wooden pallet triggered a production process intervention.

[0011] The technical effects and advantages of this invention are as follows: 1. This invention, by constructing hygrothermal state data, hygrothermal lag characterization quantities, and internal hygrothermal imbalance evolution functions and internal hygrothermal release evolution functions, can quantitatively identify the potential hygrothermal lag accumulation state inside the wood at the end of the drying process. Furthermore, it establishes a clear causal relationship between this state and delayed quality problems such as warping and cracking that may occur during the cooling stage, enabling the identification of quality defects that would otherwise only appear in subsequent processes or use stages. It also links delayed quality risk indicators with the process identification of wooden pallets throughout the entire process, forming a continuous and traceable production process tracking data chain. This not only improves the accuracy of locating the root process when tracing back to quality anomalies, but also supports differentiated process intervention based on risk levels. Thus, without significantly increasing testing costs, it achieves refined control of production cycle, temporary storage conditions, and quality monitoring strategies, thereby comprehensively improving the quality stability, risk warning capabilities, and intelligent level of process management in the large-scale production of wooden pallets. Attached Figure Description

[0012] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is a flowchart of a method according to an embodiment of the present invention. Detailed Implementation

[0013] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0014] Example: Figure 1 This invention provides a method for tracking and managing the production process of wooden pallets, comprising the following steps: The surface temperature, ambient humidity, drying time, wood thickness, and initial moisture content of the wooden pallet components entering the drying process are obtained to construct humid heat state data that characterizes the coupling relationship between internal moisture migration and heat conduction in the wood. Based on the aforementioned damp heat state data, a time-series analysis was performed on the changes in surface and internal moisture content of the wood to extract the stage where the surface moisture content meets the standard and the stage where the internal moisture content lags behind. Based on the proportion of the stage where the internal moisture content lags behind within the drying cycle, a damp heat lag characterization quantity was calculated. Based on the aforementioned moisture and heat hysteresis characterization quantity and drying temperature change characteristics, an internal moisture and heat imbalance evolution function is constructed for the wood, and combined with the cooling environment parameters after drying, an internal moisture and heat release evolution function is obtained. Based on the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function of the wood, the delayed quality risk index that may cause warping and cracking of wooden pallet components after drying is calculated. The delayed quality risk indicators are associated with the corresponding production process identifiers of wooden pallets to form a continuous production process tracking data chain; The completion status of the drying process is graded and marked according to the delayed quality risk index, and when the delayed quality risk index exceeds a preset threshold, the corresponding wooden pallet is subjected to production process intervention treatment that matches the delayed quality risk index.

[0015] In this embodiment of the invention, the process of acquiring information on the surface temperature, ambient humidity, drying time, wood thickness, and initial moisture content of the wooden pallet components entering the drying process, and constructing hygrothermal state data characterizing the coupling relationship between internal moisture migration and heat conduction in the wood, is as follows: Several temperature and humidity collection points are set up along the length, width and thickness of the wooden pallet components inside the drying equipment. Surface temperature sensors and ambient humidity sensors are installed at the collection points to continuously acquire the changes in surface temperature of the wood and the ambient humidity status of the corresponding spatial location during the drying process. The surface temperature sensor is used to obtain the instantaneous temperature value of the outer surface of the wood, and the ambient humidity sensor is used to obtain the relative humidity in the air around the component, so as to reflect the boundary conditions when the wood moisture diffuses outward. A uniform sampling time interval is set for the surface temperature data and the ambient humidity data, and a time identifier is added to each sampled data to obtain temperature and humidity time series data that change with drying time. Preferably, the sampling period is set according to the rate of change of drying temperature and the response time of moisture migration, so as to cover the main stages of change in the humid and hot state of wood; Before the wooden pallet components enter the drying process, geometric parameters and initial state parameters are obtained, including the overall thickness of the components, the stacking structure of each layer of boards, and the initial moisture content. It should be noted that the initial moisture content is determined through pretreatment testing or historical process data; Based on the wood thickness parameters, the wooden pallet component is divided into several virtual humid and hot zones along the thickness direction. The zone near the surface is defined as the surface region, and the zone far from the surface is defined as the internal region, in order to describe the transfer path of moisture and heat in the thickness direction. Combining the time-series data of surface temperature, time-series data of ambient humidity, and initial moisture content information, the moisture content variation relationship of each virtual humid heat layer is constructed according to the coupling relationship between moisture diffusion and heat conduction. For example, the water content of the k-th layer at time t is expressed as... The relationship of its change can be expressed as: ,in, Indicates surface temperature. This represents the equivalent temperature of the k-th layer. Indicates ambient humidity. and They are respectively and The weight coefficients, and satisfying ; It should be noted that, and These are used to reflect the driving effect of surface temperature changes on moisture migration in the k-th layer and the effect of the difference between internal moisture content and ambient humidity on moisture diffusion. Their values ​​can be set according to the wood material, fiber direction and drying equipment process conditions. The final result is a set of humid heat state data including the trends of surface temperature, ambient humidity, drying time, wood thickness and moisture content in the layer, which is used to characterize the internal humid heat evolution characteristics of the wooden pallet components throughout the drying process. It should be noted that the physical significance of the aforementioned wet and heat state data lies in the fact that it not only reflects the surface state of whether drying is complete, but also describes the degree of lag in the migration of internal moisture in the wood relative to heat conduction, thereby providing a continuous and traceable process basis for subsequent identification of quality risks due to drying delays.

[0016] In this embodiment of the invention, based on the wet and heat state data, a time-series analysis is performed on the changes in surface and internal moisture content of the wood to extract the surface moisture content reaching the standard stage and the internal moisture content lag stage. The process of calculating the wet and heat lag characterization quantity based on the proportion of the internal moisture content lag stage within the drying cycle is as follows: From the humid heat data, the moisture content time-series curves of the surface and internal regions of the wood were extracted during the entire drying cycle. The surface moisture content was denoted as... The internal moisture content is recorded as , Indicates drying time; A threshold determination is performed on the surface moisture content time-series curve, and a threshold for achieving the surface moisture content standard is set. It is used to characterize the moisture content level of the surface wood to meet the requirements of the drying process. When the surface moisture content is less than or equal to the surface moisture content threshold, the corresponding time interval is determined as the surface moisture content compliance stage. During the stage where the surface moisture content meets the standard, the internal moisture content time-series curve is synchronously detected. When the rate of change of internal moisture content is less than or equal to the preset internal drying rate threshold, the corresponding time interval is determined to be the internal moisture content lag stage. For example, the determination can be made by the rate of change of internal moisture content, which is defined as: ,in This represents the rate of change in internal moisture content. The duration of the internal moisture content lag phase is accumulated within the drying cycle to obtain the duration of the internal moisture content lag. The total drying time for the entire drying process is recorded as follows: ; The characteristic quantity of damp-heat hysteresis is calculated based on the duration of the internal moisture content hysteresis and the total drying time. ; For example, the relationship between the duration of internal moisture content lag and the total drying time is as follows: ,in, It is used to reflect the degree of lag in the internal humid and hot state of the wood relative to the surface drying process during the drying process; It should be noted that the physical meaning of the aforementioned wet heat hysteresis characterization quantity lies in its comprehensive characterization of the time ratio and strength characteristics of the wood surface layer reaching the standard first while the internal moisture release is delayed, thereby providing a quantitative basis for subsequent assessment of potential structural deformation and cracking risks in the drying stage.

[0017] In this embodiment of the invention, the process of constructing an internal moisture and heat imbalance evolution function of wood based on the moisture and heat hysteresis characterization quantity and drying temperature change characteristics, and combining it with the cooling environment parameters after drying, to obtain the internal moisture and heat release evolution function is as follows: At the end of the drying process, the temperature change characteristic parameters of the corresponding wooden pallet components during the drying cycle are extracted, including the average temperature gradient and equivalent temperature difference. The temperature change characteristics are then correlated with the damp heat hysteresis characterization quantity to reflect the degree of accumulation of internal damp heat state under different heat-driven conditions. According to the aforementioned damp-heat hysteresis characterization quantity Based on the characteristics of drying temperature changes, an evolution function of uneven moisture and heat distribution within the wood was constructed. It is used to describe the uneven distribution of internal moisture and heat from the moment the drying process is completed to the moment the product leaves the oven; For example, the evolution function of uneven moisture and heat distribution inside wood It can be represented as: ,in, Indicates the time when drying ends. This represents the average temperature gradient during the drying stage. This indicates the equivalent temperature difference between the surface and the interior at the end of the drying process. , These are the weighting coefficients for the average temperature gradient and the equivalent temperature difference, respectively, and they satisfy... ; It should be noted that, , The settings should be tailored to the specific circumstances. For example, an expert weighting method can be used, which involves inviting experts in relevant fields to determine the pre-defined weighting coefficients for each indicator through professional opinion surveys and comprehensive evaluations. , The initial value can be 0.5, 0.5; For example, the average temperature gradient can be expressed as: ,in, Indicates the start time of drying. Indicates the time when drying ends. Indicates surface temperature. Indicates the internal temperature. Indicates the thickness of the wooden pallet components; For example, the equivalent temperature difference can be expressed as: ,in This indicates the surface temperature at the end of the drying process. This indicates the internal temperature at the end of the drying process; After the wooden pallet components are removed from the oven, environmental parameters during the cooling stage are acquired, including the ambient temperature. Ambient humidity , used to characterize the boundary conditions for the release of internal humid heat from wood to the outside; Based on the cooling environment parameters, the internal moisture and heat imbalance evolution function is extended over time to construct the internal moisture and heat release evolution function. It is used to describe the dynamic process of internal heat and humidity spreading and being released from an unbalanced state to the environment; For example, the internal heat release evolution function can be expressed as: ,in, The coefficient of wet heat release. Indicates the internal temperature of the wood; It should be noted that, The moisture heat release coefficient is used to characterize the release rate of moisture heat from the uneven state inside the wood under the action of a cooling environment. Its preferred value range is... The smaller value corresponds to a thicker or denser wooden pallet component, while the larger value corresponds to a thinner or more ventilated cooling environment. It should also be noted that the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function together reflect the continuous physical process of wood transforming from moisture and heat accumulation to release before and after drying, providing a quantifiable basis for subsequent judgment of structural deformation and delayed quality risks caused by the cooling stage.

[0018] In this embodiment of the invention, the process of calculating the delayed quality risk index that may cause warping and cracking of wooden pallet components after drying, based on the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function of the wood, is as follows: Based on the evolution function of uneven moisture and heat inside wood and the evolution function of internal heat and moisture release The cumulative intensity and release rate of humid heat during the drying and cooling stages were extracted to characterize the continuous driving effect of internal humid heat on the wood structure. The evolution function of internal moisture and heat imbalance at the initial moment of exiting the oven. The function value is denoted as This is used to reflect the initial degree of unevenness in moisture and heat inside the wood before it enters the cooling stage; The release rate term of the internal humid heat release evolution characteristics during the cooling stage is taken as the internal humid heat gradient release characteristics. For example, the release rate term can be expressed as: ,in, Indicates the end time of the cooling phase. Used to reflect the intensity of heat and moisture released from the interior to the exterior; Based on the function value of the internal moisture and heat imbalance evolution function at the initial moment of drying and the release rate term Constructing the structural response function induced by moisture and heat inside wood This is used to describe the driving force of changes in humidity and heat on the redistribution of stress within wood. For example, the structural response function induced by internal moisture and heat in wood It can be represented as: ,in , These are the function values ​​of the internal moisture and heat imbalance evolution function at the initial moment after drying and the weighting coefficients of the release rate term, respectively, and satisfy the following: ; It should be noted that, , The settings should be tailored to the specific circumstances. For example, an expert weighting method can be used, which involves inviting experts in relevant fields to determine the pre-defined weighting coefficients for each indicator through professional opinion surveys and comprehensive evaluations. , The initial value can be 0.5, 0.5; Calculate the delayed quality risk index by combining the geometry and material strength of the wooden pallet components. ; For example, delay quality risk indicators It can be represented as: ,in This indicates the allowable stress threshold for wood under corresponding moisture content conditions. Indicates the area of ​​force involved in stress relief; It should be noted that the physical meaning of the aforementioned delayed quality risk index is that it comprehensively reflects the combined effect of the initial accumulation degree of uneven moisture and heat and the intensity of the release process on the structural stability of wood, so that potential quality defects that are not visible at the end of the drying process can be quantitatively identified in advance during the process tracking stage.

[0019] In this embodiment of the invention, the process of associating the delayed quality risk index with the corresponding production process identifier of the wooden pallet to form a continuous production process tracking data chain is as follows: Assign a unique pallet identifier to each wooden pallet component entering the production line. ,in The pallet is indexed, and corresponding process identifiers are generated as it flows to each production process node. Used to characterize the pallet component in the first The processing identity in each process; After the drying process is completed, the calculated delayed quality risk index will be used. Corresponding pallet markings Bind the process and attach the drying process identifier and timestamp information to obtain the risk process association record; Based on the sequence of production processes, the risk process association records are sorted according to the timeline and linked with the process data generated by the pallet identifier in the production process to construct a process status sequence with the pallet identifier as the main index; the production processes include sawing, assembly, nailing, drying, etc. For example, the tray is placed in the first The status record of each process is represented as follows: ,in, This indicates that the tray has completed its first step. The timing of the process This indicates the delay quality risk index corresponding to the process node. If no new delay quality risk index is generated in this process, the risk status of the previous process is inherited. The process state sequence Link them according to the process sequence to form a continuous process tracking vector: ,in, Indicates pallet marking The corresponding complete production process tracking data chain; It should be noted that the technical effect of the continuous production process tracking data chain is that it embeds the originally isolated delayed quality risk indicators into the entire process trajectory of the pallet, so that the quality risks have clear process sources and time evolution paths, thereby providing a continuous and complete data foundation for subsequent process intervention, quality analysis and responsibility positioning.

[0020] In this embodiment of the invention, the process of classifying and marking the completion status of the drying process according to the delayed quality risk index, and performing production process intervention treatment matching the delayed quality risk index on the corresponding wooden pallet when the delayed quality risk index exceeds a preset threshold, is as follows: Obtaining delayed quality risk indicators from the production process tracking data chain The drying completion status is divided into three levels: low risk, warning risk, and high risk, with a low-risk threshold set. High-risk threshold ,in The judgment rule is as follows: when When the risk level is determined to be low, it is marked as a low-risk status. ; when When this occurs, it is determined to be a risk warning and marked as a risk warning status. ; when When the risk level is high, it is marked as a high-risk state. ; For example, the drying state grading function can be expressed by a formula. : ; The drying process is graded and marked with corresponding tray labels. Link and update the tray status record; For those identified as high-risk The wooden pallets trigger production process intervention to reduce the probability of potential quality defects in subsequent processes; the process intervention includes, but is not limited to: adjusting the cycle time of subsequent processes to extend processing waiting time, optimizing temporary storage conditions to improve the cooling environment, or increasing the frequency of key quality monitoring to capture potential defects; For example, the tray intervention processing trigger function can be... Defined as: ; when If the pallet is in a critical condition, the subsequent process corresponding to the pallet will perform at least one preset intervention operation; otherwise, the pallet will continue to flow according to the normal process.

[0021] It should be noted that the physical meaning of the graded marking and intervention triggering mechanism is: by quantifying the delayed quality risk index into an operable discrete state and directly associating it with the pallet production flow node, real-time early warning and targeted intervention for potential quality anomalies can be achieved, thereby reducing the probability of delayed defects such as warping or cracking while maintaining production cycle efficiency.

[0022] This invention introduces the continuous evolution of the internal humid and hot state of wood during the drying process of wooden pallets into the production process tracking and management system, breaking through the limitations of existing methods that only record the completion of drying as a discrete node, and realizing the effective characterization of the formation mechanism and timing of quality risks.

[0023] This invention, by constructing hygrothermal state data, hygrothermal lag characterization quantities, and internal hygrothermal imbalance evolution functions and internal hygrothermal release evolution functions, can quantitatively identify the potential hygrothermal lag accumulation state inside the wood at the end of the drying process. Furthermore, it establishes a clear causal relationship between this state and delayed quality problems such as warping and cracking that may occur during the cooling stage, enabling the identification of quality defects that would otherwise only appear in subsequent processes or use stages. It also links delayed quality risk indicators with the process identification of wooden pallets throughout the entire process, forming a continuous and traceable production process tracking data chain. This not only improves the accuracy of locating the root cause process when tracing back to quality anomalies but also supports differentiated process intervention based on risk levels. Thus, without significantly increasing testing costs, it achieves refined control of production cycle time, temporary storage conditions, and quality monitoring strategies, comprehensively improving the quality stability, risk warning capabilities, and intelligent level of process management in the large-scale production of wooden pallets.

[0024] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0025] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0026] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for tracking and managing the production process of wooden pallets, characterized in that: Includes the following steps: The surface temperature, ambient humidity, drying time, wood thickness, and initial moisture content of the wooden pallet components entering the drying process are obtained to construct the humid heat state data. Based on the aforementioned damp heat state data, a time-series analysis was performed on the changes in surface and internal moisture content of the wood to extract the stage where the surface moisture content meets the standard and the stage where the internal moisture content lags behind. Based on the proportion of the stage where the internal moisture content lags behind within the drying cycle, a damp heat lag characterization quantity was calculated. Based on the aforementioned moisture and heat hysteresis characterization quantity and drying temperature change characteristics, an internal moisture and heat imbalance evolution function is constructed for the wood, and combined with the cooling environment parameters after drying, an internal moisture and heat release evolution function is obtained. Based on the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function of the wood, the delayed quality risk index is calculated; The delayed quality risk indicators are associated with the corresponding production process identifiers of wooden pallets to form a continuous production process tracking data chain; The completion status of the drying process is graded and marked according to the delayed quality risk index, and when the delayed quality risk index exceeds a preset threshold, the corresponding wooden pallet is subjected to production process intervention treatment that matches the delayed quality risk index.

2. The method for tracking and managing the production process of wooden pallets according to claim 1, characterized in that: The process of acquiring information on the surface temperature, ambient humidity, drying time, wood thickness, and initial moisture content of the wooden pallet components entering the drying process, and constructing the humid heat state data, is as follows: Several temperature and humidity collection points are set up along the length, width and thickness of the wooden pallet components in the drying equipment. Surface temperature sensor and ambient humidity sensor are set up at the collection points to collect surface temperature data and ambient humidity data, respectively. A uniform sampling time interval is set for the surface temperature data and the ambient humidity data, and a time identifier is added to each sampled data to obtain temperature and humidity time series data; Before the wooden pallet components enter the drying process, geometric parameters and initial state parameters are obtained, including the overall thickness of the components, the stacking structure of each layer of boards, and the initial moisture content. Based on the wood thickness parameters, the wooden pallet component is divided into several virtual humid heat layer zones along the thickness direction. The layer zone near the surface is defined as the surface area, and the layer zone far from the surface is defined as the internal area. Combining the time-series data of surface temperature, time-series data of ambient humidity, and initial moisture content information, the moisture content variation relationship of each virtual humid heat layer is constructed according to the coupling relationship between moisture diffusion and heat conduction. The final result is a set of humid and thermal state data including surface temperature, ambient humidity, drying time, wood thickness, and the trend of moisture content changes in the layer.

3. The method for tracking and managing the production process of wooden pallets according to claim 2, characterized in that: Based on the aforementioned damp-heat state data, a time-series analysis is performed on the changes in surface and internal moisture content of the wood. The process of extracting the stage where surface moisture content meets standards and the lag stage where internal moisture content lags, and calculating the damp-heat lag characterization quantity based on the proportion of the lag stage within the drying cycle, is as follows: From the humid heat data, the moisture content time-series curves of the surface and internal regions of the wood were extracted during the entire drying cycle. The surface moisture content was denoted as... The internal moisture content is recorded as , Indicates drying time; A threshold determination is performed on the surface moisture content time series curve. A threshold for surface moisture content compliance is set. When the surface moisture content is less than or equal to the threshold for surface moisture content compliance, the corresponding time interval is determined as the surface moisture content compliance stage. During the stage where the surface moisture content meets the standard, the internal moisture content time-series curve is detected synchronously. When the rate of change of internal moisture content is less than or equal to the preset internal drying rate threshold, the corresponding time interval is determined to be the internal moisture content lag stage. The duration of all internal moisture content lag stages within the drying cycle is accumulated to obtain the duration of internal moisture content lag, and the total drying time of the entire drying process is recorded as ; The wet heat hysteresis characterization quantity is calculated based on the duration of the internal moisture content hysteresis and the total drying time.

4. The method for tracking and managing the production process of wooden pallets according to claim 3, characterized in that: Based on the aforementioned characteristics of hygrothermal hysteresis and drying temperature changes, a function for the evolution of uneven hygrothermal distribution within the wood is constructed. Combined with post-drying cooling environment parameters, the process for obtaining the evolution function of internal hygrothermal release is as follows: At the end of the drying process, the temperature change characteristic parameters of the corresponding wooden pallet component during the drying cycle are extracted, including the average temperature gradient and equivalent temperature difference, and the temperature change characteristics are correlated with the wet heat hysteresis characterization quantity. Based on the aforementioned wet-heat hysteresis characterization quantity and drying temperature change characteristics, an evolution function of the internal wet-heat imbalance in wood is constructed. After the wooden pallet components are removed from the oven, environmental parameters during the cooling stage are obtained, including the cooling ambient temperature and humidity. Based on the cooling environment parameters, the internal humid heat imbalance evolution function is extended over time to construct the internal humid heat release evolution function.

5. The method for tracking and managing the production process of wooden pallets according to claim 4, characterized in that: The process of calculating the delayed quality risk index based on the internal moisture and heat imbalance evolution function and the internal moisture and heat release evolution function of the wood is as follows: Based on the evolution function of uneven internal moisture and heat and the evolution function of internal moisture and heat release, the characteristics of cumulative moisture and heat intensity and release rate during the period from the end of drying to the cooling stage are extracted respectively. The evolution function of internal moisture and heat imbalance at the initial moment of exiting the oven. The function value is denoted as ; The release rate term of the internal humid heat release evolution characteristics during the cooling stage is taken as the internal humid heat gradient release characteristics. Based on the function value and release rate term of the internal moisture and heat imbalance evolution function at the initial moment of drying, a moisture and heat induced structural response function for wood is constructed. By combining the geometry and material strength of the wooden pallet components, the delayed quality risk index is calculated.

6. The method for tracking and managing the production process of wooden pallets according to claim 5, characterized in that: The process of associating the aforementioned delayed quality risk indicators with the corresponding production process identifiers of wooden pallets to form a continuous production process tracking data chain is as follows: Each wooden pallet component entering the production line is assigned a unique pallet identifier, and a corresponding process identifier is generated when it flows to each production process node. After the drying process is completed, the calculated delayed quality risk index is bound to the corresponding pallet identifier, and the drying process identifier and timestamp information are attached to obtain the risk process association record. Based on the sequence of production processes, the risk process association records are sorted according to the timeline and linked with the process data generated by the pallet identifier in the production process to construct a process status sequence with the pallet identifier as the main index. The process state sequence is linked according to the process order to form a continuous process tracking vector.

7. The method for tracking and managing the production process of wooden pallets according to claim 6, characterized in that: The process of classifying and marking the completion status of the drying process according to the delayed quality risk index, and performing production process intervention treatment matching the delayed quality risk index on the corresponding wooden pallet when the delayed quality risk index exceeds a preset threshold is as follows: Obtaining delayed quality risk indicators from the production process tracking data chain The drying completion status is divided into three levels: low risk, warning risk, and high risk, with a low-risk threshold set. High-risk threshold ,in The judgment rule is as follows: when When the risk level is determined to be low, it is marked as a low-risk status. ; when When this occurs, it is determined to be a risk warning and marked as a risk warning status. ; when When the risk level is high, it is marked as a high-risk state. ; The drying process grading markers are then associated with the corresponding tray identifiers, and the tray status records are updated accordingly. For those identified as high-risk The wooden pallet triggered a production process intervention.

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