An intelligent logistics packaging monitoring system and method based on degradable new materials

Abstract

The application discloses a kind of intelligent logistics package monitoring systems and methods based on degradable new material, it is related to logistics packaging technical field, method includes: on the main body of logistics package made of degradable material, sample block is formed with material same batch;Through accelerated degradation experiment, the corresponding relationship of sample block physical property change rate and the remaining strength of package main body is established;At the first node of logistics process, the first remaining strength estimated value is obtained by measuring the first pair of sample blocks;At the second node, the second remaining strength estimated value is obtained by measuring the second pair of sample blocks;Whether the change trend of two estimated values is consistent with preset degradation law is compared, if it is consistent, then according to the second estimated value, the package state is judged, if it is not consistent, then trigger exception handling.The application replaces environmental data estimation by sample block measurement, and verifies the reliability of monitoring result by the trend self-consistency determination between two nodes, solve the fundamental problem that estimation result is not verifiable in prior art.

Description

Technical Field

[0001] This invention relates to the field of logistics packaging technology, specifically to an intelligent logistics packaging monitoring system and method based on biodegradable new materials. Background Technology

[0002] The application of biodegradable new materials in smart logistics packaging aims to meet the dual needs of cargo protection and environmental degradation. To monitor the packaging status in real time, existing technologies typically integrate temperature and humidity sensors and RFID tags into the packaging. By collecting environmental data and combining it with degradation kinetic models, the remaining strength or degree of degradation of the material can be indirectly estimated, thereby achieving full traceability and status early warning.

[0003] However, the above monitoring model has an inherent logical dilemma: the real-time state of biodegradable materials (such as molecular weight, crystallinity, and remaining buffer capacity) cannot be directly measured during logistics because any destructive testing will damage the packaging, and non-destructive online detection methods are difficult to implement in a dynamic logistics environment.

[0004] Therefore, the system must rely on an indirect calculation method of "environmental parameters + mathematical model" to obtain the material state; however, the key problem is that the calculation results can never be verified during the entire logistics process, because to verify the accuracy of the calculation, the material needs to be directly measured at the same time (such as laboratory analysis), which contradicts the continuity of logistics; in other words, the system is always in a state of "uncertainty about whether its own inference is accurate", but it must make safety decisions such as whether to continue to use it or whether to trigger an early warning based on this inference.

[0005] This dilemma cannot be eliminated by sensor accuracy or model complexity. Even with higher-frequency real-time sensors and more precise degradation models, the deviation between the calculated results and the actual state still exists and cannot be perceived by the system because the actual state itself is an unavailable reference point in the logistics process. When materials are mistakenly judged as "still safe" due to model errors when they are actually close to failure, it may lead to damage to the goods. Conversely, if they are mistakenly judged as "failed" and scrapped prematurely, it will result in a waste of resources.

[0006] Existing technologies focus on improving data acquisition density and model fit, but fail to recognize that the unverifiable nature of the calculated results, given that the material state cannot be directly observed, constitutes a logical gap, making any decision based on indirect calculations subject to unquantifiable uncertainty.

[0007] To address the above problems, this invention proposes an intelligent logistics packaging monitoring system and method based on biodegradable new materials. Summary of the Invention

[0008] The purpose of this invention is to provide an intelligent logistics packaging monitoring system and method based on biodegradable new materials to solve the problems raised in the prior art.

[0009] To achieve the above objectives, the present invention provides the following technical solution:

[0010] A smart logistics packaging monitoring method based on biodegradable new materials includes the following steps:

[0011] S1. A sample block is placed on the main body of the logistics packaging made of biodegradable material, wherein the sample block is made of the same material and in the same batch as the main body of the packaging.

[0012] S2. Establish the correspondence between the change in the physical properties of the sample block and the remaining strength of the packaging body;

[0013] S3. At the first node of the logistics process, obtain the first sample block and measure its first physical attribute value, and obtain the first residual strength estimate value of the packaging body according to the corresponding relationship;

[0014] S4. At the second node of the logistics process, obtain the second sample block and measure its second physical attribute value, and obtain the second residual strength estimate value of the packaging body according to the correspondence.

[0015] S5. Compare the changing trends of the first residual strength estimate and the second residual strength estimate with the preset degradation law. If they are consistent, determine the current state of the packaging body based on the second residual strength estimate.

[0016] S6. If the change trend does not conform to the preset degradation law, the abnormal handling process is triggered.

[0017] S1 further includes the following:

[0018] The sample block and the packaging body are made of the same batch of biodegradable materials using an integrated molding process, and the sample block is connected to the packaging body through a breakable connection point;

[0019] The sample block is equipped with a unique identifier, which is associated with the identity information of the packaging entity.

[0020] The sample blocks are arranged in pairs on the main body of the packaging, with the two sample blocks in the same pair being adjacent to each other.

[0021] The sample blocks are placed in several different parts of the main body of the packaging, so that they can be obtained by different logistics nodes.

[0022] S2 further includes the following:

[0023] Accelerated degradation experiments were conducted on materials from the same batch as the sample block, and the sample block and the main packaging body were placed under the same temperature and humidity conditions for synchronous degradation.

[0024] At several preset time points, the physical property values ​​of the sample block are measured respectively, and the remaining strength value of the packaging body is obtained through mechanical testing.

[0025] The physical properties are determined based on the degradation mechanism of the biodegradable material, including thickness, mass, and compressive modulus;

[0026] The rate of change ΔP of the physical properties of the sample block at each time point is calculated using the following formula:

[0027] ΔP=[(P0 [Pt) / P0]×100%;

[0028] Where P0 is the initial physical attribute value of the sample block, and Pt is the physical attribute value of the sample block at time point t;

[0029] The physical property change rate ΔP measured at each time point is correlated with the residual strength value corresponding to that time point to establish a correspondence table between the physical property change rate and the residual strength value;

[0030] The corresponding relationship table is stored in the logistics information platform and is bound to the batch information of the packaging body.

[0031] S3 further includes the following:

[0032] At the first node of the logistics process, two sample blocks from the first pair of sample blocks are obtained from the packaging body; the first pair of sample blocks is a pair of sample blocks that are pre-set on the packaging body.

[0033] The first physical attribute values ​​of the two sample blocks are measured respectively to obtain the first measured value and the second measured value;

[0034] The first physical attribute is the same as the physical attribute used in the correspondence;

[0035] The relative difference δ between the first measured value and the second measured value is calculated using the following formula:

[0036] δ={(∣M1 M2∣) / [(M1+M2) / 2]}×100%;

[0037] Where M1 is the first measured value and M2 is the second measured value;

[0038] If δ is less than the preset threshold, then (M1+M2) / 2 is used as the first physical attribute value of the first node;

[0039] If δ is greater than or equal to the preset threshold, then the first physical attribute value of the two sample blocks is remeasured;

[0040] If the relative difference after remeasurement is still greater than or equal to the preset threshold, then mark the data of the first node as abnormal;

[0041] Based on the first physical attribute value, query the corresponding relationship table to obtain the first residual strength estimate value corresponding to the first physical attribute value.

[0042] S4 further includes the following:

[0043] At the second node of the logistics process, another pair of pre-set sample blocks are obtained from the main packaging body;

[0044] The other pair of sample blocks is a pair of sample blocks that have not yet been acquired and are pre-set on the main body of the packaging.

[0045] The second physical attribute values ​​of the two sample blocks are measured respectively to obtain the third and fourth measurement values; the second physical attribute is the same as the physical attribute used in the correspondence relationship;

[0046] The relative difference δ′ between the third and fourth measurements is calculated using the following formula:

[0047] δ′={(∣M3 M4∣) / [(M3+M4) / 2]}×100%;

[0048] Among them, M3 is the third measurement value, and M4 is the fourth measurement value;

[0049] If δ′ is less than the preset threshold, then (M3+M4) / 2 is used as the second physical attribute value of the second node;

[0050] If δ′ is greater than or equal to the preset threshold, then the second physical attribute values ​​of the two sample blocks are remeasured;

[0051] If the relative difference after remeasurement is still greater than or equal to the preset threshold, then the data of the second node is marked as abnormal;

[0052] Based on the second physical attribute value, query the corresponding relationship table to obtain the second residual strength estimate value corresponding to the second physical attribute value.

[0053] S5 further includes the following:

[0054] Obtain the first residual strength estimate S1 and the second residual strength estimate S2;

[0055] Obtain the time interval Δt between the first node and the second node;

[0056] Based on the accelerated degradation experimental data of the same batch of materials, the range of residual strength attenuation [ΔSmin, ΔSmax] corresponding to the time interval Δt is preset;

[0057] The attenuation range is determined based on the upper and lower limits of the material's degradation rate under normal logistics conditions;

[0058] The actual residual intensity attenuation ΔS is calculated using the following formula:

[0059] ΔS=S1 S2;

[0060] If ΔS is greater than or equal to ΔSmin and less than or equal to ΔSmax, then the change trend is determined to be consistent with the preset degradation law;

[0061] At this point, the second remaining strength calculation value S2 is used as the remaining strength of the packaging body at the current node, and it is compared with the preset safety threshold. If it is lower than the safety threshold, an early warning is issued and the inspection process is triggered. If it is not lower than the safety threshold, the packaging is allowed to continue to be used.

[0062] If ΔS is less than ΔSmin or greater than ΔSmax, then the change trend is determined to be inconsistent with the preset degradation law.

[0063] S6 further includes the following:

[0064] If the change trend is determined to be inconsistent with the preset degradation pattern, the monitoring data of the packaging body is marked as unreliable.

[0065] Upload the abnormal data information of the first and second nodes to the logistics information platform;

[0066] The logistics information platform generates a review instruction based on the abnormal information, notifying logistics personnel to conduct a manual inspection of the packaging body at the next node.

[0067] The manual inspection includes measuring the physical property values ​​of the remaining sample blocks or visually inspecting the appearance of the main body of the packaging.

[0068] If manual inspection confirms that there is an abnormality in the main body of the packaging, the main body of the packaging will be removed from the logistics flow and transferred to the recycling process;

[0069] If manual inspection confirms that there are no abnormalities in the main body of the packaging, the measurement data of the first and second nodes will be marked as reference data and will not be used as the basis for subsequent decisions. A new pair of sample blocks will be activated in subsequent nodes to continue monitoring.

[0070] A smart logistics packaging monitoring system based on biodegradable new materials includes a sample block module, a correspondence establishment module, a node measurement module, a trend determination module, and an anomaly handling module.

[0071] The sample block module includes multiple sample blocks made of the same material and in the same batch as the main packaging body and set in pairs, which are used to be measured sequentially during the logistics process;

[0072] The correspondence establishment module is used to establish a correspondence table between the rate of change of physical properties of the sample block and the remaining strength of the packaging body through accelerated degradation experiments, and to bind and store the correspondence table with the batch information of the packaging body;

[0073] The node measurement module is used to acquire paired sample blocks at logistics nodes and measure their physical attribute values, perform consistency verification on the two measured values ​​in the same pair, obtain the physical attribute value of the node, and obtain the corresponding residual strength estimation value according to the corresponding relationship table.

[0074] The trend determination module is used to obtain the residual strength estimate values ​​and their time intervals at two different nodes, and to determine whether the changing trend of the two estimate values ​​is consistent with the normal degradation law based on the preset residual strength attenuation range. If they are consistent, the residual strength estimate value of the second node is used as the basis for the current state of the packaging body.

[0075] The anomaly handling module is used to mark the monitoring data as unreliable and upload the anomaly information when the trend of change does not conform to the normal degradation pattern, and to determine the subsequent handling method of the packaging body based on the results of manual review.

[0076] Compared with the prior art, the beneficial effects of the present invention are:

[0077] 1. Background Art: Existing technologies rely on indirect estimation methods using "environmental data + mathematical models," but the estimation results cannot be verified during the logistics process, leaving the system in a state of uncertainty. This invention, by setting homologous sample blocks on the main packaging body, transforms the intangible state of the main body into directly measurable physical properties of the sample blocks. Furthermore, through trend consistency determination between two nodes, the monitoring results become verifiable. When the attenuation of the estimated values ​​at both nodes conforms to normal degradation patterns, the system can confidently assert the reliability of the estimated value at the second node. Thus, even without obtaining the actual values, an effective judgment of the packaging state can still be made.

[0078] 2. Existing technologies focus on improving the accuracy of single-point extrapolation, but they can never eliminate the uncertainty caused by model errors. This invention adopts a linkage mechanism of three steps, S3, S4, and S5. Through longitudinal comparison of two different nodes, it shifts the monitoring focus from "pursuing the absolute accuracy of a single value" to "verifying the inherent consistency of multiple values," creating a completely new technical path. This path does not rely on high-precision sensors and complex degradation models; it can achieve reliable monitoring through simple physical measurements and logical judgments. Attached Figure Description

[0079] Figure 1 This is a flowchart of a method for monitoring intelligent logistics packaging based on biodegradable new materials according to the present invention. Detailed Implementation

[0080] 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.

[0081] Example: Figure 1 As shown, the present invention provides a technical solution.

[0082] A smart logistics packaging monitoring method based on biodegradable new materials includes the following steps:

[0083] S1. A sample block is placed on the main body of the logistics packaging made of biodegradable material, wherein the sample block is made of the same material and in the same batch as the main body of the packaging.

[0084] S2. Establish the correspondence between the change in the physical properties of the sample block and the remaining strength of the packaging body;

[0085] S3. At the first node of the logistics process, obtain the first sample block and measure its first physical attribute value, and obtain the first residual strength estimate value of the packaging body according to the corresponding relationship;

[0086] S4. At the second node of the logistics process, obtain the second sample block and measure its second physical attribute value, and obtain the second residual strength estimate value of the packaging body according to the correspondence.

[0087] S5. Compare the changing trends of the first residual strength estimate and the second residual strength estimate with the preset degradation law. If they are consistent, determine the current state of the packaging body based on the second residual strength estimate.

[0088] S6. If the change trend does not conform to the preset degradation law, the abnormal handling process is triggered.

[0089] S1 further includes the following:

[0090] The sample block and the packaging body are made of the same batch of biodegradable materials using an integrated molding process, and the sample block is connected to the packaging body through a breakable connection point;

[0091] The sample block is equipped with a unique identifier, which is associated with the identity information of the packaging entity.

[0092] The sample blocks are arranged in pairs on the main body of the packaging, with the two sample blocks in the same pair being adjacent to each other.

[0093] The sample blocks are placed in several different parts of the main body of the packaging, so that they can be obtained by different logistics nodes.

[0094] S2 further includes the following:

[0095] Accelerated degradation experiments were conducted on materials from the same batch as the sample block, and the sample block and the main packaging body were placed under the same temperature and humidity conditions for synchronous degradation.

[0096] At several preset time points, the physical property values ​​of the sample block are measured respectively, and the remaining strength value of the packaging body is obtained through mechanical testing.

[0097] The physical properties are determined based on the degradation mechanism of the biodegradable material, including thickness, mass, and compressive modulus;

[0098] The rate of change ΔP of the physical properties of the sample block at each time point is calculated using the following formula:

[0099] ΔP=[(P0 [Pt) / P0]×100%;

[0100] Where P0 is the initial physical attribute value of the sample block, and Pt is the physical attribute value of the sample block at time point t;

[0101] The physical property change rate ΔP measured at each time point is correlated with the residual strength value corresponding to that time point to establish a correspondence table between the physical property change rate and the residual strength value;

[0102] The corresponding relationship table is stored in the logistics information platform and is bound to the batch information of the packaging body.

[0103] S3 further includes the following:

[0104] At the first node of the logistics process, two sample blocks from the first pair of sample blocks are obtained from the packaging body; the first pair of sample blocks is a pair of sample blocks that are pre-set on the packaging body.

[0105] The first physical attribute values ​​of the two sample blocks are measured respectively to obtain the first measured value and the second measured value;

[0106] The first physical attribute is the same as the physical attribute used in the correspondence;

[0107] The relative difference δ between the first measured value and the second measured value is calculated using the following formula:

[0108] δ={(∣M1 M2∣) / [(M1+M2) / 2]}×100%;

[0109] Where M1 is the first measured value and M2 is the second measured value;

[0110] If δ is less than the preset threshold, then (M1+M2) / 2 is used as the first physical attribute value of the first node;

[0111] If δ is greater than or equal to the preset threshold, then the first physical attribute value of the two sample blocks is remeasured;

[0112] If the relative difference after remeasurement is still greater than or equal to the preset threshold, then mark the data of the first node as abnormal;

[0113] Based on the first physical attribute value, query the corresponding relationship table to obtain the first residual strength estimate value corresponding to the first physical attribute value.

[0114] This step marks the beginning of the monitoring process, serving to acquire initial state data of the packaging body at the first node of the logistics process. Since the sample blocks and the packaging body share the same origin and environment, by measuring the physical attribute values ​​of the first pair of sample blocks and consulting the corresponding relationship table, the estimated remaining strength of the packaging body at that node can be obtained. This step provides benchmark data for subsequent longitudinal comparisons.

[0115] S4 further includes the following:

[0116] At the second node of the logistics process, another pair of pre-set sample blocks are obtained from the main packaging body;

[0117] The other pair of sample blocks is a pair of sample blocks that have not yet been acquired and are pre-set on the main body of the packaging.

[0118] The second physical attribute values ​​of the two sample blocks are measured respectively to obtain the third and fourth measurement values; the second physical attribute is the same as the physical attribute used in the correspondence relationship;

[0119] The relative difference δ′ between the third and fourth measurements is calculated using the following formula:

[0120] δ′={(∣M3 M4∣) / [(M3+M4) / 2]}×100%;

[0121] Among them, M3 is the third measurement value, and M4 is the fourth measurement value;

[0122] If δ′ is less than the preset threshold, then (M3+M4) / 2 is used as the second physical attribute value of the second node;

[0123] If δ′ is greater than or equal to the preset threshold, then the second physical attribute values ​​of the two sample blocks are remeasured;

[0124] If the relative difference after remeasurement is still greater than or equal to the preset threshold, then the data of the second node is marked as abnormal;

[0125] Based on the second physical attribute value, query the corresponding relationship table to obtain the second residual strength estimate value corresponding to the second physical attribute value.

[0126] This step is a continuation of the monitoring process, and its purpose is to obtain the status data of the main packaging body again at the second node of the logistics process; by measuring the physical property values ​​of another pair of sample blocks, the remaining strength estimate of the main packaging body at this node is obtained.

[0127] This step, together with S3, constitutes a pair of state data at two different time points, providing a comparison object for verifying the credibility of the data.

[0128] S5 further includes the following:

[0129] Obtain the first residual strength estimate S1 and the second residual strength estimate S2;

[0130] Obtain the time interval Δt between the first node and the second node;

[0131] Based on the accelerated degradation experimental data of the same batch of materials, the range of residual strength attenuation [ΔSmin, ΔSmax] corresponding to the time interval Δt is preset;

[0132] The attenuation range is determined based on the upper and lower limits of the material's degradation rate under normal logistics conditions;

[0133] The actual residual intensity attenuation ΔS is calculated using the following formula:

[0134] ΔS=S1 S2;

[0135] If ΔS is greater than or equal to ΔSmin and less than or equal to ΔSmax, then the change trend is determined to be consistent with the preset degradation law;

[0136] At this point, the second remaining strength calculation value S2 is used as the remaining strength of the packaging body at the current node, and it is compared with the preset safety threshold. If it is lower than the safety threshold, an early warning is issued and the inspection process is triggered. If it is not lower than the safety threshold, the packaging is allowed to continue to be used.

[0137] If ΔS is less than ΔSmin or greater than ΔSmax, then the change trend is determined to be inconsistent with the preset degradation law.

[0138] This step is the core decision-making step in the monitoring process. Its function is to make a longitudinal comparison between the two estimated values ​​obtained from S3 and S4. By calculating the residual intensity decay between the two nodes and comparing it with the preset normal degradation decay range, it can be determined whether the two measurement results are consistent.

[0139] If the attenuation falls within the normal range, it indicates that the measurement data of the two nodes are mutually verified, and the estimated value of the second node is reliable, so the packaging status can be determined accordingly; if the attenuation exceeds the normal range, it indicates that there is a contradiction between the two measurement results, the reliability of the data is questionable, and it needs to be transferred to the anomaly handling process.

[0140] S6 further includes the following:

[0141] If the change trend is determined to be inconsistent with the preset degradation pattern, the monitoring data of the packaging body is marked as unreliable.

[0142] Upload the abnormal data information of the first and second nodes to the logistics information platform;

[0143] The logistics information platform generates a review instruction based on the abnormal information, notifying logistics personnel to conduct a manual inspection of the packaging body at the next node.

[0144] The manual inspection includes measuring the physical property values ​​of the remaining sample blocks or visually inspecting the appearance of the main body of the packaging.

[0145] If manual inspection confirms that there is an abnormality in the main body of the packaging, the main body of the packaging will be removed from the logistics flow and transferred to the recycling process;

[0146] If manual inspection confirms that there are no abnormalities in the main body of the packaging, the measurement data of the first and second nodes will be marked as reference data and will not be used as the basis for subsequent decisions. A new pair of sample blocks will be activated in subsequent nodes to continue monitoring.

[0147] A smart logistics packaging monitoring system based on biodegradable new materials includes a sample block module, a correspondence establishment module, a node measurement module, a trend determination module, and an anomaly handling module.

[0148] The sample block module includes multiple sample blocks made of the same material and in the same batch as the main packaging body and set in pairs, which are used to be measured sequentially during the logistics process;

[0149] The correspondence establishment module is used to establish a correspondence table between the rate of change of physical properties of the sample block and the remaining strength of the packaging body through accelerated degradation experiments, and to bind and store the correspondence table with the batch information of the packaging body;

[0150] The node measurement module is used to acquire paired sample blocks at logistics nodes and measure their physical attribute values, perform consistency verification on the two measured values ​​in the same pair, obtain the physical attribute value of the node, and obtain the corresponding residual strength estimation value according to the corresponding relationship table.

[0151] The trend determination module is used to obtain the residual strength estimate values ​​and their time intervals at two different nodes, and to determine whether the changing trend of the two estimate values ​​is consistent with the normal degradation law based on the preset residual strength attenuation range. If they are consistent, the residual strength estimate value of the second node is used as the basis for the current state of the packaging body.

[0152] The anomaly handling module is used to mark the monitoring data as unreliable and upload the anomaly information when the trend of change does not conform to the normal degradation pattern, and to determine the subsequent handling method of the packaging body based on the results of manual review.

[0153] This embodiment provides a specific implementation process for an intelligent logistics packaging monitoring method based on biodegradable new materials.

[0154] First, multiple sample blocks are placed on the main body of the logistics packaging made of biodegradable material. The main body of the packaging is made of PLA-based biodegradable honeycomb cushioning material, and the sample blocks are made from the same batch of materials using an integrated molding process. The sample blocks are connected to the main body of the packaging through easily breakable connection points. Each sample block is equipped with a unique identifier, which is associated with the identity information of the main body of the packaging. The sample blocks are placed in pairs on the main body of the packaging, with the two sample blocks in the same pair being adjacent to each other, and the sample blocks are distributed in different parts of the main body of the packaging for different logistics nodes to obtain. In this embodiment, a total of three pairs of sample blocks are set on the main body of the packaging, labeled A1 / A2, B1 / B2, and C1 / C2, respectively, and the initial thickness of each pair of sample blocks is 5.00 mm.

[0155] Secondly, a correlation was established between the changes in the physical properties of the sample block and the remaining strength of the packaging body. Accelerated degradation experiments were conducted on materials from the same batch as the sample block, placing both the sample block and the packaging body under the same temperature and humidity conditions for simultaneous degradation. At several predetermined time points, the thickness of the sample block was measured, and the remaining strength of the packaging body was obtained through mechanical testing.

[0156] The experiment yielded the following data: When the sample block thickness decreased from 5.00 mm to 4.75 mm, the thickness change rate was 5%, corresponding to a remaining strength of 95% of the initial strength for the main packaging body; when the thickness decreased to 4.50 mm, the change rate was 10%, with a remaining strength of 90%; when the thickness decreased to 4.00 mm, the change rate was 20%, with a remaining strength of 80%; and when the thickness decreased to 3.50 mm, the change rate was 30%, with a remaining strength of 65%. This data was compiled into a correspondence table, stored in the logistics information platform, and linked to the batch information of the main packaging bodies for that batch.

[0157] The logistics process then begins. The first node is the transit warehouse before packaging and shipment, where the first pair of sample blocks A1 / A2 needs to be obtained. Workers remove A1 and A2 from the main packaging and measure their thickness using a digital micrometer, obtaining the first measurement value M1 = 4.98 mm and the second measurement value M2 = 5.02 mm.

[0158] The relative difference between the two is calculated as δ = |4.98 - 5.02| / ((4.98 + 5.02) / 2) × 100% = 0.04 / 5.00 × 100% = 0.8%. The preset difference threshold is set to 5%, and 0.8% is less than 5%, therefore the average value (4.98 + 5.02) / 2 = 5.00 mm is taken as the first physical attribute value of this node.

[0159] According to the corresponding relationship table, a thickness of 5.00mm corresponds to a change rate of 0% and a residual strength of 100%, that is, the first residual strength calculation value S1=100%.

[0160] Logistics continued, and after 5 days of transportation, the packaging arrived at the second node—the regional distribution center. At this point, the second pair of sample blocks B1 / B2 were obtained. The thickness of B1 was measured to be M3=4.65mm, and the thickness of B2 to be M4=4.71mm.

[0161] The relative difference δ′ = |4.65-4.71| / ((4.65+4.71) / 2)×100% = 0.06 / 4.68×100%≈1.28%, which is less than 5%. The average value of 4.68mm is taken as the second physical property value of the second node.

[0162] According to the corresponding relationship table, the thickness of 4.68mm is between 4.75mm (change rate of 5%) and 4.50mm (change rate of 10%). The change rate is approximately 6.8% by linear interpolation, corresponding to a residual strength S2 of approximately 93.2%.

[0163] The time interval Δt between the first and second nodes is 5 days. Based on accelerated degradation test data of the same batch of materials, under normal logistics conditions (temperature 25-30℃, relative humidity 60-80%), the residual strength decay within 5 days is usually between 5% and 10%. Therefore, the preset decay range [ΔSmin, ΔSmax] = [5%, 10%]. The actual decay ΔS = S1 - S2 = 100% - 93.2% = 6.8%, which falls within the preset range, indicating that the trend of the two calculated values ​​is consistent with the preset degradation pattern.

[0164] At this point, the calculated residual strength value S2 = 93.2% is taken as the residual strength of the packaging body at the current node. The preset safety threshold is 70%, and 93.2% is higher than the safety threshold, therefore the packaging is allowed to continue to be used.

[0165] If we assume that in another scenario, the average thickness measured at the second node is only 4.20 mm, corresponding to a residual strength S2≈84%, then the attenuation ΔS=16%, exceeding the preset range [5%, 10%]. In this case, the trend is determined to be inconsistent with the preset degradation law, the monitoring data of the main packaging body is marked as unreliable, and the abnormal data information of the first and second nodes is uploaded to the logistics information platform.

[0166] The platform generates a review instruction, notifying logistics personnel to conduct a manual inspection of the main body of the packaging at the next stage, including measuring the thickness of the remaining sample blocks C1 / C2, or conducting a visual inspection of the appearance of the main body of the packaging.

[0167] If manual inspection confirms that the main body of the packaging is abnormal (such as partial damage), the main body of the packaging will be removed from the logistics flow and transferred to the recycling process; if manual inspection confirms that the main body of the packaging is not abnormal, the measurement data of the first and second nodes will be marked as reference data and will not be used as the basis for subsequent decisions, and C1 / C2 will be activated to continue monitoring in subsequent nodes.

[0168] This embodiment eliminates single measurement errors through lateral verification of paired sample blocks and verifies the reliability of monitoring results through longitudinal trend determination of two nodes. It solves the fundamental problem that the extrapolation results cannot be verified in the prior art and realizes reliable monitoring of the state of biodegradable packaging.

[0169] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for monitoring intelligent logistics packaging based on biodegradable new materials, characterized in that: Includes the following steps: S1. A sample block is placed on the main body of the logistics packaging made of biodegradable material, wherein the sample block is made of the same material and in the same batch as the main body of the packaging. S2. Establish the correspondence between the change in the physical properties of the sample block and the remaining strength of the packaging body; S3. At the first node of the logistics process, obtain the first sample block and measure its first physical attribute value, and obtain the first residual strength estimate value of the packaging body according to the corresponding relationship; S4. At the second node of the logistics process, obtain the second sample block and measure its second physical attribute value, and obtain the second residual strength estimate value of the packaging body according to the correspondence. S5. Compare the changing trends of the first residual strength estimate and the second residual strength estimate with the preset degradation law. If they are consistent, determine the current state of the packaging body based on the second residual strength estimate. S6. If the change trend does not conform to the preset degradation law, the abnormal handling process is triggered.

2. The intelligent logistics packaging monitoring method based on biodegradable new materials according to claim 1, characterized in that: S1 further includes the following: The sample block and the packaging body are made of the same batch of biodegradable materials using an integrated molding process, and the sample block is connected to the packaging body through a breakable connection point; The sample block is equipped with a unique identifier, which is associated with the identity information of the packaging entity. The sample blocks are arranged in pairs on the main body of the packaging, with the two sample blocks in the same pair being adjacent to each other. The sample blocks are placed in several different parts of the main body of the packaging, so that they can be obtained by different logistics nodes.

3. The intelligent logistics packaging monitoring method based on biodegradable new materials according to claim 1, characterized in that: S2 further includes the following: Accelerated degradation experiments were conducted on materials from the same batch as the sample block, and the sample block and the main packaging body were placed under the same temperature and humidity conditions for synchronous degradation. At several preset time points, the physical property values ​​of the sample block are measured respectively, and the remaining strength value of the packaging body is obtained through mechanical testing. The physical properties are determined based on the degradation mechanism of the biodegradable material, including thickness, mass, and compressive modulus; The rate of change ΔP of the physical properties of the sample block at each time point is calculated using the following formula: ΔP=[(P0 Pt) / P0]×100%; Where P0 is the initial physical attribute value of the sample block, and Pt is the physical attribute value of the sample block at time point t; The physical property change rate ΔP measured at each time point is correlated with the residual strength value corresponding to that time point to establish a correspondence table between the physical property change rate and the residual strength value; The corresponding relationship table is stored in the logistics information platform and is bound to the batch information of the packaging body.

4. The intelligent logistics packaging monitoring method based on biodegradable new materials according to claim 1, characterized in that: S3 further includes the following: At the first node of the logistics process, two sample blocks from the first pair of sample blocks are obtained from the main packaging body; The first pair of sample blocks is one of a pair of sample blocks pre-set on the packaging body; The first physical attribute values ​​of the two sample blocks are measured respectively to obtain the first measured value and the second measured value; The first physical attribute is the same as the physical attribute used in the correspondence; The relative difference δ between the first measured value and the second measured value is calculated using the following formula: δ={(∣M1 M2∣) / [(M1+M2) / 2]}×100%; Where M1 is the first measured value and M2 is the second measured value; If δ is less than the preset threshold, then (M1+M2) / 2 is used as the first physical attribute value of the first node; If δ is greater than or equal to the preset threshold, then the first physical attribute value of the two sample blocks is remeasured; If the relative difference after remeasurement is still greater than or equal to the preset threshold, then mark the data of the first node as abnormal; Based on the first physical attribute value, query the corresponding relationship table to obtain the first residual strength estimate value corresponding to the first physical attribute value.

5. The intelligent logistics packaging monitoring method based on biodegradable new materials according to claim 4, characterized in that: S4 further includes the following: At the second node of the logistics process, another pair of pre-set sample blocks are obtained from the main packaging body; The other pair of sample blocks is a pair of sample blocks that have not yet been acquired and are pre-set on the main body of the packaging. The second physical attribute values ​​of the two sample blocks are measured respectively to obtain the third and fourth measurement values; the second physical attribute is the same as the physical attribute used in the correspondence relationship; The relative difference δ′ between the third and fourth measurements is calculated using the following formula: δ′={(∣M3 M4∣) / [(M3+M4) / 2]}×100%; Among them, M3 is the third measurement value, and M4 is the fourth measurement value; If δ′ is less than the preset threshold, then (M3+M4) / 2 is used as the second physical attribute value of the second node; If δ′ is greater than or equal to the preset threshold, then the second physical attribute values ​​of the two sample blocks are remeasured; If the relative difference after remeasurement is still greater than or equal to the preset threshold, then the data of the second node is marked as abnormal; Based on the second physical attribute value, query the corresponding relationship table to obtain the second residual strength estimate value corresponding to the second physical attribute value.

6. The intelligent logistics packaging monitoring method based on biodegradable new materials according to claim 1, characterized in that: S5 further includes the following: Obtain the first residual strength estimate S1 and the second residual strength estimate S2; Obtain the time interval Δt between the first node and the second node; Based on the accelerated degradation experimental data of the same batch of materials, the range of residual strength attenuation [ΔSmin, ΔSmax] corresponding to the time interval Δt is preset; The attenuation range is determined based on the upper and lower limits of the material's degradation rate under normal logistics conditions; The actual residual intensity attenuation ΔS is calculated using the following formula: ΔS=S1 S2; If ΔS is greater than or equal to ΔSmin and less than or equal to ΔSmax, then the change trend is determined to be consistent with the preset degradation law; At this point, the second remaining strength calculation value S2 is used as the remaining strength of the packaging body at the current node, and it is compared with the preset safety threshold. If it is lower than the safety threshold, an early warning is issued and the inspection process is triggered. If it is not lower than the safety threshold, the packaging is allowed to continue to be used. If ΔS is less than ΔSmin or greater than ΔSmax, then the change trend is determined to be inconsistent with the preset degradation law.

7. The intelligent logistics packaging monitoring method based on biodegradable new materials according to claim 1, characterized in that: S6 further includes the following: If the change trend is determined to be inconsistent with the preset degradation pattern, the monitoring data of the packaging body is marked as unreliable. Upload the abnormal data information of the first and second nodes to the logistics information platform; The logistics information platform generates a review instruction based on the abnormal information, notifying logistics personnel to conduct a manual inspection of the packaging body at the next node. The manual inspection includes measuring the physical property values ​​of the remaining sample blocks or visually inspecting the appearance of the main body of the packaging. If manual inspection confirms that there is an abnormality in the main body of the packaging, the main body of the packaging will be removed from the logistics flow and transferred to the recycling process; If manual inspection confirms that there are no abnormalities in the main body of the packaging, the measurement data of the first and second nodes will be marked as reference data and will not be used as the basis for subsequent decisions. A new pair of sample blocks will be activated in subsequent nodes to continue monitoring.

8. An intelligent logistics packaging monitoring system based on biodegradable new materials, applied to the intelligent logistics packaging monitoring method based on biodegradable new materials as described in any one of claims 1-7, characterized in that: It includes a sample block module, a correspondence establishment module, a node measurement module, a trend determination module, and an anomaly handling module; The sample block module includes multiple sample blocks made of the same material and in the same batch as the main packaging body and set in pairs, which are used to be measured sequentially during the logistics process; The correspondence establishment module is used to establish a correspondence table between the rate of change of physical properties of the sample block and the remaining strength of the packaging body through accelerated degradation experiments, and to bind and store the correspondence table with the batch information of the packaging body; The node measurement module is used to acquire paired sample blocks at logistics nodes and measure their physical attribute values, perform consistency verification on the two measured values ​​in the same pair, obtain the physical attribute value of the node, and obtain the corresponding residual strength estimation value according to the corresponding relationship table. The trend determination module is used to obtain the residual strength estimate values ​​and their time intervals at two different nodes, and to determine whether the changing trend of the two estimate values ​​is consistent with the normal degradation law based on the preset residual strength attenuation range. If they are consistent, the residual strength estimate value of the second node is used as the basis for the current state of the packaging body. The anomaly handling module is used to mark the monitoring data as unreliable and upload the anomaly information when the trend of change does not conform to the normal degradation pattern, and to determine the subsequent handling method of the packaging body based on the results of manual review.

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