CN-122022436-A - Intelligent logistics package monitoring system and method based on novel degradable material

CN122022436ACN 122022436 ACN122022436 ACN 122022436ACN-122022436-A

Abstract

The invention discloses an intelligent logistics package monitoring system and method based on a degradable new material, and relates to the technical field of logistics package, wherein the method comprises the steps of arranging sample blocks formed in the same batch as materials on a logistics package main body made of the degradable material; the method comprises the steps of establishing a corresponding relation between a physical property change rate of a sample block and the residual intensity of a package main body through an accelerated degradation experiment, obtaining a first pair of sample block measurement at a first node in a logistics process to obtain a first residual intensity estimated value, obtaining a second pair of sample block measurement at a second node to obtain a second residual intensity estimated value, comparing whether the change trend of the two estimated values accords with a preset degradation rule, judging the package state according to the second estimated value if the change trend accords with the preset degradation rule, and triggering abnormal processing if the change trend does not accord with the preset degradation rule. According to the invention, the environment data calculation is replaced by sample block measurement, and the reliability of the monitoring result is verified by the trend self-consistency judgment between two nodes, so that the fundamental problem that the calculation result in the prior art cannot be verified is solved.

Inventors

DU SONGLIN
ZHANG LIYANG
LEI TAO
Sadamu Shadik
WANG BINGQUAN
WANG XIAOFENG
YU JIONG
DU XUSHENG

Assignees

杭州骋风而来数字科技有限公司
新疆丝路融创网络科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (8)

1. An intelligent logistics package monitoring method based on a novel degradable material is characterized by comprising the following steps of: S1, arranging a sample block on a logistics package main body made of a degradable material, wherein the sample block and the package main body are formed in the same material and batch; S2, establishing a corresponding relation between the physical attribute change rate of the sample block and the residual strength of the package main body; s3, acquiring a first sample block at a first node in the logistics process, measuring a first physical attribute value of the first sample block, and acquiring a first residual strength estimated value of the package main body according to the corresponding relation; S4, acquiring a second sample block at a second node in the logistics process, measuring a second physical attribute value of the second sample block, and acquiring a second residual strength estimated value of the package main body according to the corresponding relation; s5, comparing whether the variation trend of the first residual intensity estimated value and the second residual intensity estimated value accords with a preset degradation rule, and if so, judging the current state of the packaging main body according to the second residual intensity estimated value; and S6, triggering an abnormal processing flow if the change trend is not consistent with a preset degradation rule.
2. The method for monitoring the intelligent logistics package based on the new degradable material of claim 1, wherein S1 further comprises the following steps: the sample block and the packaging main body are made of the same batch of degradable materials through an integral molding process, and the sample block is connected with the packaging main body through a frangible connection point; The sample block is provided with a unique identifier, and the unique identifier is associated with the identity information of the package main body; the sample blocks are arranged in pairs on the package main body, and the two sample blocks in the same pair are adjacent to each other in position; the sample blocks are arranged at a plurality of different parts of the package main body and are respectively acquired by different logistics nodes.
3. The method for monitoring the intelligent logistics package based on the new degradable material of claim 1, wherein S2 further comprises the following steps: carrying out an accelerated degradation experiment on the material in the same batch as the sample block, and synchronously degrading the sample block and the packaging main body under the same temperature and humidity condition; Measuring physical attribute values of the sample blocks at a plurality of preset time points respectively, and simultaneously obtaining the residual strength value of the package main body through a mechanical test; the physical attribute values are determined according to a degradation mechanism of the degradable material, including thickness, mass and compression modulus; calculating the physical attribute change rate delta P of the sample block at each time point, wherein the calculation formula is as follows: ΔP=[(P0 Pt)/P 0 ]×100%; Wherein P 0 is the initial physical attribute value of the sample block, and Pt is the physical attribute value of the sample block at the time point t; Correlating the physical attribute change rate delta P measured at each time point with the residual intensity value corresponding to the time point, and establishing a corresponding relation table of the physical attribute change rate and the residual intensity value; the corresponding relation table is stored in a logistics information platform and is bound with the batch information of the package main body.
4. The method for monitoring the intelligent logistics package based on the new degradable material of claim 1, wherein S3 further comprises the following steps: at a first node of the logistics process, two sample blocks in a first pair of sample blocks are obtained from the packaging main body, wherein the first pair of sample blocks are one pair of paired sample blocks preset on the packaging main body; Measuring first physical attribute values of the two sample blocks respectively to obtain a first measured value and a second measured value; the physical attribute type of the first physical attribute value is the same as the physical attribute type adopted in the corresponding relation; Calculating the relative difference delta between the first measured value and the second measured value, wherein the calculation formula is as follows: δ={(∣M1 M2∣)[(M1+M2)/2]}×100%; wherein M1 is a first measurement value and M2 is a second measurement value; if delta is smaller than a preset threshold value, taking (M1+M2)/2 as a first physical attribute value of the first node; re-measuring the first physical attribute values of the two sample blocks if delta is greater than or equal to the preset threshold value; If the relative difference after re-measurement is still greater than or equal to the preset threshold value, marking that the data of the first node is abnormal; And according to the first physical attribute value, inquiring a corresponding relation table to obtain a first residual intensity calculated value corresponding to the first physical attribute value.
5. The method for monitoring the intelligent logistics package based on the new degradable material of claim 1, wherein S4 further comprises the following steps: At a second node of the logistic process, acquiring another pair of preset sample blocks from the package main body; the other pair of sample blocks is a pair which is not acquired yet in the paired sample blocks which are preset on the package main body; Respectively measuring second physical attribute values of the two sample blocks to obtain a third measured value and a fourth measured value, wherein the second physical attribute is the same as the physical attribute adopted in the corresponding relation; Calculating a relative difference delta' between the third measurement value and the fourth measurement value, wherein the calculation formula is as follows: δ′={(∣M3 M4∣)/[(M3+M4)/2]}×100%; wherein M3 is the third measurement value and M4 is the fourth measurement value; If delta' is smaller than a preset threshold value, taking (M3+M4)/2 as a second physical attribute value of the second node; Re-measuring a second physical attribute value of the two sample blocks if delta' is greater than or equal to the preset threshold; if the relative difference after re-measurement is still greater than or equal to the preset threshold value, marking that the data of the second node is abnormal; and according to the second physical attribute value, inquiring a corresponding relation table to obtain a second residual intensity calculated value corresponding to the second physical attribute value.
6. The method for monitoring the intelligent logistics package based on the new degradable material of claim 1, wherein S5 further comprises the following steps: acquiring a first residual intensity estimated value S1 and a second residual intensity estimated value S2; acquiring a time interval delta t between a first node and a second node; Presetting a residual intensity attenuation range [ delta Smin, delta Smax ] corresponding to the time interval delta t according to the accelerated degradation experimental data of the materials in the same batch; The attenuation range is determined based on the upper limit and the lower limit of the degradation rate of the material in a normal logistics environment; The actual residual intensity attenuation delta S is calculated, and the calculation formula is as follows: ΔS=S1 S2; if delta S is greater than or equal to delta Smin and less than or equal to delta Smax, judging that the change trend accords with a preset degradation rule; At this time, the second residual intensity estimated value S2 is used as the residual intensity of the package main body at the current node, and is compared with a preset safety threshold, if the residual intensity is lower than the safety threshold, an early warning is sent out, a checking flow is triggered, and if the residual intensity is not lower than the safety threshold, the package main body is allowed to continue to be used; if the delta S is smaller than delta Smin or larger than delta Smax, judging that the change trend is not consistent with a preset degradation rule.
7. The method for monitoring the intelligent logistics package based on the new degradable material of claim 1, wherein S6 further comprises the following steps: If the change trend is judged to be inconsistent with a preset degradation rule, marking the monitoring data of the package main body as an unreliable state; uploading the data exception information of the first node and the second node to a logistics information platform; The logistics information platform generates a rechecking instruction according to the data abnormal information, and informs logistics personnel to manually check the packaging main body at the next node; the manual inspection includes measuring physical attribute values of the remaining sample blocks or visual inspection of the appearance of the package body; If the manual inspection confirms that the package main body is abnormal, the package main body is removed from the physical stream and is transferred to a recovery flow; if the manual inspection confirms that the packaging main body is abnormal, marking the measurement data of the first node and the second node as reference data, not serving as a subsequent decision basis, and starting a new pair of sample blocks at the subsequent node to monitor continuously.
8. An intelligent logistics package monitoring system based on a new degradable material is applied to the intelligent logistics package monitoring method based on the new degradable material, which is characterized by comprising a sample block setting module, a corresponding relation establishing module, a first node measuring module, a second node measuring module, a trend judging module and an abnormality processing module; The sample block setting module is used for setting a sample block on a logistics package main body made of degradable materials, and the sample block and the package main body are formed in the same material and batch; The corresponding relation establishing module is used for establishing a corresponding relation between the physical attribute change rate of the sample block and the residual strength of the package main body; The first node measuring module is used for acquiring a first sample block at a first node in the logistics process, measuring a first physical attribute value of the first sample block, and acquiring a first residual strength estimated value of the package main body according to the corresponding relation; The second node measuring module is used for acquiring a second sample block at a second node of the logistics process, measuring a second physical attribute value of the second sample block, and acquiring a second residual intensity estimated value of the packaging main body according to the corresponding relation; The trend judging module is used for comparing whether the change trend of the first residual intensity estimated value and the second residual intensity estimated value accords with a preset degradation rule or not, and if so, judging the current state of the packaging main body according to the second residual intensity estimated value; The exception handling module is used for triggering an exception handling flow when the change trend is not consistent with a preset degradation rule.

Description

Intelligent logistics package monitoring system and method based on novel degradable material Technical Field The invention relates to the technical field of logistics packaging, in particular to an intelligent logistics packaging monitoring system and method based on a novel degradable material. Background In order to grasp the packaging state in real time, the prior art generally integrates a temperature and humidity sensor and an RFID tag in the package, and indirectly calculates the residual strength or degradation degree of the material by collecting environmental data and combining a degradation dynamics model, thereby realizing the whole-course traceability and state early warning. However, the above-described monitoring mode presents an inherent logic dilemma in that the real-time state (e.g., molecular weight, crystallinity, residual buffering capacity) of the degradable material cannot be directly measured during the flow process, because any destructive testing would destroy the package, and the non-destructive on-line detection means would be difficult to implement in a dynamic logistics environment; Therefore, the system must rely on the indirect calculation mode of environmental parameter plus mathematical model to obtain the state of the material, but the key point of the problem is that the calculation result can not be verified all the time in the whole logistics process, because the accuracy of calculation is verified, the material needs to be directly measured (analyzed in a laboratory) at the same time, which is contrary to the continuity of the logistics, in other words, the system is always in a state of 'uncertain whether the self-estimation is accurate', but the safety decisions of whether to continue to use, whether to trigger early warning and the like must be made according to the estimation. Even if a real-time sensor with higher frequency and a more precise degradation model are adopted, the deviation between the calculated result and the real state still exists and cannot be perceived by a system, because the real state is an unavailable reference system in the logistics process, when the material is actually close to failure due to misjudgment of the model error as 'still safe', the damage of goods can be caused, otherwise, if the material is misjudged as 'failed', the material is scrapped too early, and the resource waste is caused; the prior art focuses on improving the data acquisition density and the model fitting degree, but fails to realize that the unverifiability of the calculation result forms a logic gap on the premise that the material state cannot be directly observed, so that any decision based on indirect calculation has uncertainty which cannot be quantified. In order to solve the problems, the invention provides an intelligent logistics package monitoring system and method based on a novel degradable material. Disclosure of Invention The invention aims to provide an intelligent logistics package monitoring system and method based on a novel degradable material, so as to solve the problems in the prior art. In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent logistics package monitoring method based on a new degradable material comprises the following steps: S1, arranging a sample block on a logistics package main body made of a degradable material, wherein the sample block and the package main body are formed in the same material and batch; S2, establishing a corresponding relation between the physical attribute change rate of the sample block and the residual strength of the package main body; s3, acquiring a first sample block at a first node in the logistics process, measuring a first physical attribute value of the first sample block, and acquiring a first residual strength estimated value of the package main body according to the corresponding relation; S4, acquiring a second sample block at a second node in the logistics process, measuring a second physical attribute value of the second sample block, and acquiring a second residual strength estimated value of the package main body according to the corresponding relation; s5, comparing whether the variation trend of the first residual intensity estimated value and the second residual intensity estimated value accords with a preset degradation rule, and if so, judging the current state of the packaging main body according to the second residual intensity estimated value; and S6, triggering an abnormal processing flow if the change trend is not consistent with a preset degradation rule. The S1 further comprises the following contents: the sample block and the packaging main body are made of the same batch of degradable materials through an integral molding process, and the sample block is connected with the packaging main body through a frangible connection point; The sample block is provided with a unique identifier, and the unique identifi