Intelligent warehousing method, electronic equipment, storage medium and program product

Abstract

The embodiment of the invention provides an intelligent warehousing method, electronic equipment, a storage medium and a program product. The method comprises the steps that the electronic equipment obtains the humidity of a storage area and the cargo load borne by a cargo package; and the electronic equipment determines a fatigue coefficient according to the humidity of the storage area and the cargo load borne by the cargo package in combination with the cargo package parameters. And the electronic equipment determines the cargo package which may be abnormal according to the fatigue coefficient, and sends an abnormal prompt to remind a worker to check. The method is used for achieving the effect of improving the storage and transportation efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent warehousing, and particularly relates to an intelligent warehousing method, an electronic device, a storage medium and a program product. BACKGROUND

[0002] In the warehousing and transportation links of electrical products, corrugated boxes have become a common choice for goods packaging due to their own characteristics. In this process, how to ensure that the goods packaging can safely bear the goods has always been the core point of concern.

[0003] At present, users mostly adopt the manual sampling inspection method to check the integrity of goods packaging in the warehousing and transportation process, so as to ensure that the goods can arrive at the destination in good condition.

[0004] However, this method relying on manual operation has the problem of extremely low detection efficiency, and it is difficult to meet the large-scale and efficient warehousing and transportation demand. SUMMARY

[0005] The embodiments of the present application provide an intelligent warehousing method, an electronic device, a storage medium and a program product, so as to improve the detection efficiency of goods packaging.

[0006] In a first aspect, the embodiments of the present application provide an intelligent warehousing method, comprising:

[0007] Obtaining the humidity of a warehousing area and the goods load borne by the goods packaging stored in the warehousing area;

[0008] Determining the fatigue coefficient of the goods packaging according to the humidity of the warehousing area, the packaging parameters corresponding to the goods packaging and the goods load;

[0009] If it is determined that the goods packaging is abnormal according to the fatigue coefficient, an abnormality reminder is sent.

[0010] In an example, the packaging parameters corresponding to the goods packaging include edge compression strength, packaging type and Kari Kat constant. Determining the fatigue coefficient of the goods packaging according to the humidity of the warehousing area, the packaging parameters corresponding to the goods packaging and the goods load comprises:

[0011] Determining a load parameter according to the edge compression strength, the packaging type, the Kari Kat constant of the goods packaging and the humidity of the warehousing area;

[0012] Determining the fatigue coefficient of the goods packaging according to the load parameter and the goods load.

[0013] In an example, the load parameter is determined according to the edge compression strength of the cargo package, the package type, the Kettering constant, and the humidity of the storage area, including:

[0014] A first correction coefficient of the variable compression strength and a second correction coefficient of the load parameter are determined according to the package type;

[0015] The edge compression strength of the cargo package is corrected according to the first correction coefficient and the humidity of the storage area, to obtain a corrected edge compression strength;

[0016] The load parameter is determined according to the corrected edge compression strength, the second correction coefficient, and the Kettering constant.

[0017] In an example, the cargo load borne by the cargo package stored in the storage area is obtained by a load sensor arranged on the surface of the cargo package.

[0018] In an example, the load sensor is embedded in a film layer arranged on the surface of the cargo package; the film layer is a hole-type flexible film layer.

[0019] In an example, whether the cargo package is abnormal is determined according to the fatigue coefficient of the cargo package, including:

[0020] If the fatigue coefficient is greater than or equal to a safety threshold, it is determined that the cargo package is not abnormal;

[0021] If the fatigue coefficient is less than the safety threshold, it is determined that the cargo package is abnormal.

[0022] In an example, the safety threshold is determined according to the stacking time of the cargo in the storage area.

[0023] In an example, the method further includes:

[0024] A safety load is determined according to the safety threshold and the load parameter;

[0025] An optimized stacking layer number is determined according to the safety load.

[0026] In an example, the method further includes:

[0027] A single-layer stacking mode is determined according to the maximum number of single-layer cargos, the pallet length and the pallet width of the carrier pallet, and the package length and the package width of the cargo package;

[0028] A stacking layer number is determined according to the maximum stacking layer number, the stackable height of the storage area, and the package height of the cargo package.

[0029] In a second aspect, the embodiments of the present application provide an intelligent warehousing device, comprising:

[0030] an acquisition module, configured to acquire a humidity of a warehousing area and a cargo load borne by a cargo package stored in the warehousing area;

[0031] a processing module, configured to determine a fatigue coefficient of the cargo package according to the humidity of the warehousing area, and a packaging parameter corresponding to the cargo package and the cargo load, and send an abnormality reminder if it is determined that the cargo package is abnormal according to the fatigue coefficient.

[0032] In an example, the packaging parameter corresponding to the cargo package comprises an edge compression strength, a packaging type and a Kardex constant; and the processing module is configured to:

[0033] determine a load parameter according to the edge compression strength, the packaging type, the Kardex constant and the humidity of the warehousing area of the cargo package;

[0034] determine the fatigue coefficient of the cargo package according to the load parameter and the cargo load.

[0035] In an example, the processing module is configured to:

[0036] determine a first correction coefficient of a variable compression strength and a second correction coefficient of a load parameter according to the packaging type;

[0037] correct the edge compression strength of the cargo package according to the first correction coefficient and the humidity of the warehousing area to obtain a corrected edge compression strength;

[0038] determine the load parameter according to the corrected edge compression strength, the second correction coefficient and the Kardex constant.

[0039] In an example, the cargo load borne by the cargo package stored in the warehousing area is acquired by a load sensor arranged on a surface of the cargo package.

[0040] In an example, the load sensor is embedded in a film layer arranged on the surface of the cargo package; and the film layer is a hole type flexible film layer.

[0041] In an example, the processing module is configured to:

[0042] if the fatigue coefficient is greater than or equal to a safety threshold value, it is determined that the cargo package is not abnormal;

[0043] if the fatigue coefficient is less than the safety threshold value, it is determined that the cargo package is abnormal.

[0044] In an example, the safety threshold is determined according to a stacking time of the goods in the storage area.

[0045] In an example, the processing module is configured to:

[0046] determine a safety load according to the safety threshold and the load parameter;

[0047] determine an optimized stacking layer number according to the safety load.

[0048] In an example, the processing module is configured to:

[0049] determine a single-layer stacking mode according to the maximum number of goods in a single layer, a pallet length and a pallet width of a carrier pallet, and a package length and a package width of a goods package;

[0050] determine a stacking layer number according to the maximum stacking layer number, a stackable height of the storage area, and a package height of the goods package.

[0051] In a third aspect, an electronic device is provided, including a memory and a processor.

[0052] The memory stores computer-executable instructions.

[0053] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the first aspect and / or various possible implementation manners of the first aspect.

[0054] In a fourth aspect, a computer-readable storage medium is provided, and the computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the computer-executable instructions are configured to implement the first aspect and / or various possible implementation manners of the first aspect.

[0055] In a fifth aspect, a computer program product is provided, and the computer program product includes a computer program. When the computer program is executed by a processor, the computer program implements the first aspect and / or various possible implementation manners of the first aspect.

[0056] The intelligent storage method, the electronic device, the storage medium, and the program product provided in the embodiments of the present application can obtain the humidity of the storage area and the load of the goods borne by the goods package, determine the fatigue coefficient according to these data in combination with the parameters of the goods package, further determine the goods package that is likely to be abnormal according to the fatigue coefficient, and send an abnormality reminder to remind the staff to check, thereby realizing automatic detection of the goods package, improving the monitoring efficiency of the staff, and improving the management efficiency in the storage and transportation process. BRIEF DESCRIPTION OF DRAWINGS

[0057] The accompanying drawings, which are incorporated herein and constitute part of this specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application.

[0058] Figure 1 Flowchart of the intelligent warehousing method provided in the present application Figure One ;

[0059] Figure 2 Flowchart of the intelligent warehousing method provided in the present application Figure Two ;

[0060] Figure 3 Flowchart of the intelligent warehousing method provided in the present application Figure Three ;

[0061] Figure 4 Flowchart of the intelligent warehousing method provided in the present application Figure Four ;

[0062] Figure 5 Flowchart of the intelligent warehousing method provided in the present application Figure Five ;

[0063] Figure 6 Structure diagram of the intelligent warehousing device provided in the present application

[0064] Figure 7 Structure diagram of the electronic device provided in the present application.

[0065] The specific embodiments of the present application have been shown by the above-mentioned drawings, and will be described in more detail hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0066] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings in which like reference numerals represent like elements, unless the context of use indicates otherwise. The following exemplary embodiments described are not representative of all embodiments consistent with the present application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present application as detailed in the appended claims.

[0067] Corrugated cartons are commonly used as outer packaging in the transportation and storage stacking process of electrical products in the market. However, due to the material properties of corrugated cartons, they are easily affected during multi-layer stacking and may appear abnormal.

[0068] For example, in the long-term stacking storage process, the bottom layer carton is subjected to the load of the upper layer for a long time, which easily leads to the increase of the fatigue coefficient, the creep deformation, the structural instability, the insufficient mechanical properties, and the extrusion of the internal electrical products, thereby causing the appearance damage or functional failure.

[0069] For another example, the corrugated carton has humidity sensitivity, and the compression strength thereof is significantly negatively correlated with the environmental humidity. In the high-humidity areas such as the tropics and the coast, or in the plum rain season, the carton is softened by absorbing moisture, which easily leads to the decrease of the compression strength by about 30%-50%, and further aggravates the risk of stacking collapse.

[0070] For another example, in the prior art, the detection of the corrugated carton mostly depends on manual sampling inspection or static theoretical calculation, which cannot realize real-time sensing of the stacking state change, and has the problem of lag of the monitoring means, and it is difficult to timely warn the potential risk.

[0071] In order to improve the detection means, although some individual researches attempt to integrate pressure sensors, the cost is high, and the installation is complex, and the humidity cooperative monitoring capability is lacked, and it is difficult to be applied on a large scale.

[0072] In order to solve the above problems, the present application provides an intelligent storage method, which can realize the optimization of detection through software and hardware.

[0073] Among them, in the hardware aspect, the present application designs a hole type flexible film layer. The hole type flexible film layer can be wrapped on the outer surface of the corrugated carton. The hole type flexible film layer can be embedded with a high-precision sensor. The wrapping of the hole type flexible film layer on the outer surface of the corrugated carton can improve the cushioning effect of the packaging piece while realizing data collection. Specifically, the high-precision sensor can collect the load distribution of the goods packaging in the stacking process. In addition, the high-precision sensor can also collect the environmental humidity data of the goods stacking area. Furthermore, the high-precision sensor can transmit the collected data to the storage cloud platform to realize the application of data in the software.

[0074] Among them, in the software aspect, the construction of the storage cloud platform is realized. The storage cloud platform can provide stacking calculation and optimization. Based on the data collected by the high-precision sensor, the storage cloud platform can establish a multi-parameter fusion carton deformation and damage prediction model, and realize dynamic regulation and control of stacking based on real-time data feedback.

[0075] Optionally, the storage cloud platform can also guide the storage personnel to adjust the stacking layers or layout according to the environmental changes in different regions, so as to ensure that the stacking height is always in the safe range of the compression strength of the carton. Especially for high-humidity areas, the stacking load needs to be automatically reduced, thereby effectively avoiding the carton collapse accident, reducing the damage rate of the packaging piece, and improving the safety of the packaged product.

[0076] Furthermore, the intelligent warehousing method implemented through the warehousing cloud platform in this application realizes the construction of a logistics detection system based on cloud-edge collaboration, achieving the Internet of Things and interconnection in the entire logistics system, and improving the monitoring coverage and monitoring accuracy.

[0077] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0078] Figure 1 Flowchart of the intelligent warehousing method provided in this application Figure One ,like Figure 1 As shown, the method includes:

[0079] S101. Obtain the humidity of the storage area and the load on the packaging of the goods stored in the storage area.

[0080] For example, electronic devices can first acquire key environmental parameters and cargo status parameters of the storage area.

[0081] In one example, the key environmental parameter could be the humidity of the storage area.

[0082] In one example, the electronic device can obtain the officially published humidity level of the warehouse area via a network. The controller can then use the humidity of that area as the humidity of the entire warehouse.

[0083] In another example, the humidity of the storage area can be obtained by a humidity sensor that is fixedly installed in the storage area. The humidity sensor can sense changes in humidity in the environment in real time and transmit the humidity data to electronic devices in the form of electrical signals.

[0084] In another example, an electronic device can obtain the humidity of the storage area where the goods are located by using a humidity sensor installed on the goods packaging.

[0085] In one example, the cargo status parameter can be the cargo load borne by the cargo packaging.

[0086] In one example, an electronic device can obtain the load on the cargo package by means of a pressure sensor installed on the cargo package.

[0087] In one example, the pressure sensor can be positioned on the top surface of the cargo packaging. This placement ensures that the electronic equipment can detect the load generated by the pressure of the cargo above during stacking.

[0088] In an example, the pressure sensor can also be arranged on the four sides of the goods package. This arrangement can enable the electronic device to obtain the load on the sides of the goods package under the moving inertia during the transportation of the goods.

[0089] In an example, the pressure sensor can also be arranged on each side of the goods package. This arrangement can enable the electronic device to obtain the load on each side of the goods package even when the goods are placed upside down.

[0090] In an example, the pressure sensor can be arranged at the support part of the goods package or at the key position in contact with the goods.

[0091] S102, determining the fatigue coefficient of the goods package according to the humidity of the storage area, and the packaging parameters and the load of the goods corresponding to the goods package.

[0092] In an example, the electronic device can be provided with a preset fatigue coefficient calculation formula or fatigue coefficient calculation model. After obtaining the humidity of the storage area, and the packaging parameters and the load of the goods corresponding to each goods package, the electronic device can calculate the fatigue coefficient of each goods package by using the fatigue coefficient calculation formula or the fatigue coefficient calculation model.

[0093] In an example, the fatigue coefficient can reflect the fatigue degree of the goods package under the current environment and use condition. The higher the fatigue degree of the goods package, the greater the risk that the goods package has been damaged or will be damaged. Otherwise, the smaller the fatigue degree of the goods package, the smaller the risk that the goods package has been damaged.

[0094] In an example, the packaging parameters corresponding to the goods package can include the type of packaging material, the size specification of the packaging, the packaging structure, etc., which can affect the mechanical properties of the packaging.

[0095] In an example, the electronic device can establish a multi-factor fatigue coefficient calculation formula considering the humidity, the material of the carton, the size of the carton, and the load of the goods, etc., and obtain the fatigue coefficient by inputting the corresponding data.

[0096] In another example, the electronic device can use a machine learning model to collect a large amount of historical data, including different humidity of the storage area, various packaging parameters of the goods, different loads of the goods, and corresponding fatigue coefficients of the goods package, use these data as a training set, and train a machine learning model that can accurately predict the fatigue coefficient according to the input humidity of the storage area, the packaging parameters of the goods, and the load of the goods. When new data is input, the electronic device can input the data into the trained model to obtain the fatigue coefficient of the goods package.

[0097] S103, if it is determined that the goods package is abnormal according to the fatigue coefficient, an abnormality reminder is sent.

[0098] For example, the electronic device can calculate the fatigue coefficient, and determine whether the package of the goods is abnormal according to the fatigue coefficient. If the electronic device determines that the package of the goods is abnormal, the electronic device can send an abnormality reminder. The abnormality reminder can be used to remind the staff to go to manually process.

[0099] In an example, the electronic device can determine that the package of the goods is abnormal when the fatigue coefficient of the package of the goods is greater than a safety threshold.

[0100] In an example, when the fatigue coefficient of the package of the goods is greater than the safety threshold, the package of the goods can have been damaged. At this time, the staff needs to pick out the goods with damaged packages. This operation can avoid the goods with damaged packages being delivered to the customers.

[0101] In an example, when the fatigue coefficient of the package of the goods is greater than the safety threshold, the goods can have an unreasonable stacking mode. At this time, the staff needs to re-stack the goods according to the optimized stacking mode. This operation can improve the safety of stacking, thereby improving the safety of stacking of the goods in the warehouse transportation process.

[0102] In an example, the abnormality of the package of the goods refers to that the mechanical properties of the package of the goods decrease, and the package of the goods cannot normally bear the load of the goods, and may have deformation, damage, and the like, thereby affecting the protection of the goods.

[0103] In an example, the abnormality reminder can be notification information sent to the staff, reminding the staff that the package of the goods has an abnormality.

[0104] In an example, the electronic device can trigger sound and light alarms through a sound and light alarm device in the warehouse site, to attract the attention of the staff in the warehouse, and realize the abnormality reminder.

[0105] In another manner, the electronic device can use a communication function to send an abnormality reminder to the preset staff through a short message, an email, or an instant messaging tool, and realize targeted reminding. Optionally, the information sent by the electronic device can include the position of the package of the goods, the fatigue coefficient value, and a description of the abnormality, and the like.

[0106] In another manner, the electronic device can also upload the abnormality reminder information to a server of a warehouse management system, and display the abnormality information in a prominent manner on an operation interface of the warehouse management system, to facilitate the management personnel to view the information in the system.

[0107] In this example, by obtaining the humidity of the storage area and the load borne by the goods packaging, and determining the fatigue coefficient according to these data combined with the parameters of the goods packaging, and then determining the goods packaging that may appear abnormally according to the fatigue coefficient, and sending an abnormal reminder to remind the staff to check, the automatic detection of the goods packaging is realized, the monitoring efficiency of the staff is improved, and the management efficiency in the storage and transportation process is improved.

[0108] In an example, the packaging parameters corresponding to the goods packaging specifically can include edge compression strength, packaging type, and Kirschner constant, etc.

[0109] In an example, the packaging type covers packaging forms of different structures and materials. Optionally, the packaging type is the type of packaging material. For example, the type of the material can be corrugated carton, wooden box, plastic box, etc. Different types of packaging have great differences in mechanical properties and applicable scenarios.

[0110] In an example, the edge compression strength refers to the maximum pressure that the goods packaging material can bear in the vertical direction, which reflects the compression resistance of the edge of the packaging material. The edge compression strength can usually be obtained through standardized testing.

[0111] In an example, the Kirschner constant is an empirical constant related to the packaging material and structure, which is usually used to calculate the compression strength and other parameters of the packaging. The Kirschner constant can be obtained by looking up the table according to the size specifications, packaging structure, and other information of the goods packaging.

[0112] In an example, the specific process of determining the fatigue coefficient of the goods packaging in the above step S102 can include:

[0113] S1021, determining the load parameter according to the edge compression strength, packaging type, Kirschner constant, and humidity of the storage area of the goods packaging.

[0114] Exemplarily, the electronic device can determine the load parameter by comprehensively analyzing the edge compression strength, packaging type, Kirschner constant, and humidity of the storage area of the goods packaging, and using specific calculation logic or model.

[0115] In an example, the load parameter can reflect the relevant characteristics of the goods packaging that can bear the load under the current environmental conditions.

[0116] In an example, the electronic device can calculate the load parameter according to a preset empirical formula.

[0117] In an example, the load parameter can be determined according to the product of the edge compression strength, the Kirschner constant, and the correction coefficient determined according to the packaging type.

[0118] S1022, determine a fatigue coefficient of the cargo package according to the load parameter and the cargo load.

[0119] Illustratively, the electronic device determines the fatigue coefficient of the cargo package by a specific analysis method or calculation model, using the determined load parameter and the actually measured cargo load.

[0120] In an example, the fatigue coefficient can quantify the fatigue damage degree of the cargo package in the process of bearing the actual cargo load, and help determine whether the cargo package is in a safe state.

[0121] In an example, the cargo load can be the maximum value of the loads of the plurality of faces of the cargo package.

[0122] In an example, the electronic device can determine the fatigue coefficient according to the ratio of the load parameter and the cargo load.

[0123] In an example, the fatigue coefficient is a comprehensive index that comprehensively considers the bearing capacity of the cargo package and the actual bearing load, and reflects the fatigue degree of the cargo package in the long-term use process due to repeated bearing of the load. The larger the value is, the more serious the fatigue damage is, and the more likely the cargo package is to have structural instability and other problems.

[0124] In an example, the calculation formula of the fatigue coefficient can be:

[0125] (1)

[0126] wherein, is the fatigue coefficient. is the load parameter. is the cargo load.

[0127] In the present example, by determining the load parameter based on the edge pressure strength of the cargo package, the packaging type, the Kari Kat constant and the humidity of the storage area, and calculating the fatigue coefficient of the cargo package according to the load parameter and the cargo load, the effect of accurately quantifying the fatigue damage degree of the cargo package under the current storage environment and load condition is achieved.

[0128] In an example, the specific calculation process of determining the load parameter according to the edge pressure strength of the cargo package, the packaging type, the Kari Kat constant and the humidity of the storage area in the above S1021 can include:

[0129] S10211, determine a first correction coefficient of the variable pressure strength and a second correction coefficient of the load parameter according to the packaging type.

[0130] Exemplarily, the electronic device can first determine a first correction coefficient of the edge crush strength. The first correction coefficient can be obtained according to a package type table. Second, the electronic device can determine a second correction coefficient of the load parameter. The second correction coefficient can also be obtained according to the package type table.

[0131] For example, when the package type is a corrugated box, the first correction coefficient can be 0.15. The second correction coefficient can be 2.54.

[0132] S10212, according to the first correction coefficient and the humidity of the storage area, the edge crush strength of the goods package is corrected to obtain the corrected edge crush strength.

[0133] Exemplarily, the electronic device combines the first correction coefficient and the storage humidity data to dynamically correct the original edge crush strength (Edge Crush Test, ECT) through a humidity-strength attenuation model or an empirical formula to reflect the compression resistance performance under actual storage conditions. The unit of the edge crush strength is (N / m).

[0134] In an example, the original edge crush strength can be obtained through standardized testing.

[0135] In an example, the relative humidity (Relative Humidity, RH) directly affects the hygroscopicity of paper. Generally, for every 10% increase in humidity, the edge crush strength decreases by about 5%-10%

[0136] In an example, the correction formula of the edge crush strength can be:

[0137] (2)

[0138] Wherein, is the corrected edge crush strength. is the edge crush strength. is the humidity of the storage area. The first correction coefficient is 0.15.

[0139] S10213, according to the corrected edge crush strength, the second correction coefficient and the Kari-Kart constant, the load parameter is determined.

[0140] Exemplarily, the electronic device can calculate the load parameter based on the product of the corrected edge crush strength, the second correction coefficient and the Kari-Kart constant.

[0141] In an example, the calculation formula of the load parameter can be:

[0142] (3)

[0143] Wherein, is the load parameter. F is the kelly constant. The edge compression strength is corrected. F is the kelly constant.

[0144] In an example, the load parameter can be specifically the box compression test (BCT). The unit of the box compression test is newton (N)

[0145] In an example, the kelly constant can be determined according to the carton perimeter and the corrugated type.

[0146] In the example, the edge compression strength is corrected by matching the preset correction coefficient based on the packaging type, and then the load parameter is calculated based on the corrected edge compression strength and the correction coefficient, and the kelly constant, to achieve the precise correction of the compression strength of the goods packaging in the complex warehouse environment and the scientific quantification effect of the load parameter of the stacking.

[0147] In an example, the goods load borne by the goods packaging stored in the warehouse area is obtained by the load sensor arranged on the surface of the goods packaging.

[0148] In the example, the surface of the goods packaging can be provided with load sensors. The electronic device can obtain the load of each goods packaging through the load sensors.

[0149] In an example, the load sensor can be arranged on the upper surface of the goods packaging.

[0150] In an example, the load sensor can be arranged on the four sides of the goods packaging.

[0151] In an example, the load sensor can be arranged on the six surfaces of the goods packaging.

[0152] In an example, the load sensor can be a pressure sensor.

[0153] In an example, the load sensor can be fixed on the surface of the goods packaging by pasting.

[0154] In an example, the load sensor can be embedded in the corrugated board inside the goods packaging.

[0155] In an example, the surface of the goods packaging is covered with a film layer. The load sensor can be fixedly arranged between the film layer and the surface of the goods packaging.

[0156] In an example, the load sensor is embedded in the film layer covering the surface of the goods packaging.

[0157] In an example, the arrangement of the film layer can improve the cushioning effect of the goods packaging.

[0158] In an example, the film layer is a porous flexible film layer. The porous structure can ensure the air permeability of the film layer.

[0159] In the present example, the porous flexible film layer is arranged on the surface of the package to improve the cushioning effect of the package and fix the high-precision sensor on the outer surface of the package. The arrangement adopts a non-invasive sensor integration scheme to avoid damaging the integrity of the package structure. The porous flexible film layer has the characteristics of lightweight and bending resistance, and can meet the curved surface fitting requirements of paper boxes of different sizes. The porous design avoids poor air circulation of the packaged goods, prevents local humidity from causing errors in monitoring data, reduces the material of the film layer, and reduces the packaging cost.

[0160] In an example, the controller in step S103 can determine whether the package is abnormal according to the fatigue coefficient. The specific determination process can include:

[0161] If the fatigue coefficient is greater than or equal to the safety threshold, it is determined that the package is not abnormal. If the fatigue coefficient is less than the safety threshold, it is determined that the package is abnormal.

[0162] In an example, the electronic device determines whether the package is abnormal by dynamically comparing the fatigue coefficient with the preset safety threshold.

[0163] If the fatigue coefficient is greater than or equal to the safety threshold, it means that the package structure is complete and stable in performance, and no abnormal state occurs.

[0164] If the fatigue coefficient is less than the safety threshold, it is determined that the package is abnormal. At this time, the electronic device can trigger an abnormal warning mechanism.

[0165] In an example, the abnormal state refers to a state in which the package may be structurally damaged due to material performance degradation or external load exceeding the design range.

[0166] In an example, the abnormal warning of the electronic device can prompt the user to go and check.

[0167] In an example, the safety threshold can be a critical value set according to the characteristics of the packaging material and the transportation environment.

[0168] In an example, the electronic device can be provided with multiple safety thresholds. According to different safety thresholds, the electronic device can determine different warning levels corresponding to the fatigue coefficient.

[0169] In an example, different warning levels can correspond to different warning methods. For example, when a primary warning occurs, the staff can be reminded to pay attention to the package. For another example, when a high-level warning occurs, the staff can be reminded to check immediately.

[0170] In this example, the electronic device realizes accurate identification and alarm of the abnormal state of the cargo packaging through the determination means of real-time collection of the fatigue coefficient by the electronic device and dynamic comparison with the preset safety threshold.

[0171] In an example, the electronic device can also determine the abnormal reason of the cargo packaging according to the fatigue coefficient. For example, the abnormal reason can include material aging, structure damage, load overrun, etc. The electronic device can prompt the user to take different treatments according to different abnormal reasons.

[0172] In an example, the electronic device can predict the abnormal state of the cargo packaging according to the change of the fatigue coefficient of the cargo packaging in the whole warehouse logistics process, so as to realize the pre-judgment of the abnormal state of the cargo packaging.

[0173] In an example, the electronic device can simulate the performance attenuation trend of the packaging in the remaining transportation period through the digital twin model. If the simulation shows that the compressive strength will be lower than 80% of the safe load, it is determined to be abnormal and it is recommended to replace the packaging immediately.

[0174] In an example, the electronic device can realize the derivation of the abnormal probability through algorithms such as Bayesian network or fuzzy logic algorithm, and generate a decision report containing maintenance priority and spare parts list when the abnormal probability is greater than a threshold value.

[0175] In an example, the electronic device can also generate a damage percentage of the cargo packaging according to the change of the humidity, load, and fatigue coefficient of the cargo packaging in the whole warehouse logistics process.

[0176] In an example, the electronic device can adjust the position of each cargo during stacking according to the damage percentage, so as to ensure that more cargos can be safely transported through the warehouse logistics to the destination.

[0177] In an example, the safety threshold is determined according to the stacking time of the cargo in the warehouse area.

[0178] For example, the electronic device can determine the safety threshold corresponding to the stacking time according to the stacking time and a preset mapping table.

[0179] For example, when the stacking time is less than 30 days, the safety threshold can be 1.6. When the stacking time is less than 30-100 days, the safety threshold can be 1.7. When the stacking time is less than 100-200 days, the safety threshold can be 2.0.

[0180] In an example, when the staff determines that the cargo packaging is damaged or the film is peeled off after on-site inspection, the staff can pick up the cargo. Thereafter, the staff can intercept the cargo and return the cargo to the factory, so that the factory can repair or replace the packaging of the cargo.

[0181] Figure 2 Flowchart of the intelligent warehousing method provided in this application Figure Two ,like Figure 2 As shown, in this embodiment... Figure 1 Based on the illustrated embodiment, the electronic device can also optimize the stacking method of goods according to the safety threshold of the goods stacking location after obtaining the safety threshold. The method includes:

[0182] S201. Determine the safe load based on the safety threshold and load parameters.

[0183] For example, after determining the safety threshold and calculating the load parameters, the electronic device can reverse-engineer the maximum safe load that the cargo packaging can withstand within the safety threshold range.

[0184] In one example, within a safe range, the safe fatigue coefficient should be greater than or equal to the safe threshold. The formula can be written as:

[0185] (4)

[0186] in, These are the load parameters. For safe load. This is the safety threshold.

[0187] Formula (2) can be transformed to obtain the following formula:

[0188] (5)

[0189] In other words, electronic devices can determine the maximum safe load based on the ratio of load parameters to a safety threshold. When the load on the cargo packaging is less than or equal to this safe load, the cargo packaging is guaranteed to be free of abnormalities.

[0190] S202. Determine the optimized stacking layer number based on the safety load.

[0191] For example, electronic devices determine the maximum number of stacking layers by using safe load as a constraint, combined with the weight of a single container of goods, the height of the storage space, and the stacking stability requirements, through iterative calculation or optimization algorithms.

[0192] In one example, the maximum number of vertically stacked packages during warehousing or transportation is called the stacking layer. This directly affects space utilization and the risk of packaging damage from pressure. Generally, within the warehouse's allowable space, the maximum number of stacking layers can improve warehouse utilization and reduce warehousing costs.

[0193] In an example, the electronic device can implement simulation calculation of the load of each cargo package in the stacking process through an algorithm such as a digital twin model. The electronic device can determine the maximum safe stacking layer number within the safe load range.

[0194] In an example, if the space stacking layer number is greater than the safe stacking layer number, the electronic device can use the safe stacking layer number as the optimized stacking layer number. If the space stacking layer number is less than the safe stacking layer number, the electronic device can use the space stacking layer number as the optimized stacking layer number.

[0195] Illustratively, by dynamically coupling the calculation of the safe load with the safety threshold and the load parameter, the safe load is determined as a means of optimizing the stacking layer number with the stability constraint condition, realizing the coordinated improvement of the warehouse space utilization rate and the safety of the cargo package, thereby effectively avoiding the collapse accident, reducing the damage rate of the packaging piece, and improving the safety of the packaging product.

[0196] In an example, the electronic device can also generate a new stacking scheme according to the optimized stacking layer number and the pallet size. The electronic device can send the new stacking scheme to the worker so that the worker can restack according to the indication of the electronic device.

[0197] Figure 3 Flowchart of the intelligent warehouse method provided in the present application Figure Three As shown in Figure 3 the present embodiment can include the following steps based on the embodiments shown in Figure 1 and Figure 2 A specific execution process of the above-mentioned embodiments can include:

[0198] S301, packing products on the packaging production line.

[0199] Illustratively, this step realizes the placement of the cargo into the cargo package and completes the packing.

[0200] S302, wrapping the hole type flexible film coating layer. The six surfaces of the packaging piece are provided with high-precision sensors.

[0201] Illustratively, after the product is packed on the packaging production line, a process is set to wrap the hole type flexible film on the surface of the packaging piece, and the high-precision sensor is embedded in the film layer.

[0202] S303, designing the stacking mode.

[0203] Illustratively, the electronic device can design the stacking mode according to the maximum number of single-layer cargos.

[0204] In an example, the stacking mode can generally include a cargo wide to pallet long arrangement, a cargo long to pallet wide arrangement, and a cargo long to pallet long, cargo wide to pallet wide arrangement.

[0205] In an example, the pallet is a logistics carrier for the cargo. Generally, the standard logistics carrier size is typically 1200x1000mm.

[0206] S304, standard pallet single-layer stacking.

[0207] In an example, the cloud platform on the electronic device can obtain initial data. The initial data can include pallet length and width, cargo length and width, and safety clearance of the cargo from the pallet edge.

[0208] In an example, the pallet length and width can be denoted as respectively. The units of the pallet length and width can be millimeters (mm).

[0209] In an example, the cargo length and width can be denoted as respectively. The units of the cargo length and width can be millimeters (mm).

[0210] In an example, the safety clearance of the cargo from the pallet edge can be denoted as respectively. The units of the safety clearance of the cargo from the pallet edge can be millimeters (mm). The safety clearance of the cargo from the pallet edge is generally 20-50mm.

[0211] In an example, the electronic device can calculate the number of single-layer stacked cargos in the cargo long to pallet long, cargo wide to pallet wide arrangement according to the following formula:

[0212] (6)

[0213] In an example, the electronic device can calculate the number of single-layer stacked cargos in the cargo wide to pallet long, cargo long to pallet wide arrangement according to the following formula:

[0214] (7)

[0215] In an example, after uploading the initial data to the cloud platform, the maximum number of single-layer cargos of the pallet is determined by rounding down

[0216] S305, selecting a stacking scheme.

[0217] Exemplarily, the electronic device can compare the single-layer stacked cargo quantity a and b calculated in the above formulas (6) and (7). If a is greater than b, S306 is performed. If a is less than b, S307 is performed. If a is equal to b, S308 is performed.

[0218] S306, the arrangement mode of cargo length to pallet length and cargo width to pallet width is adopted. And S309 is performed.

[0219] S307, the arrangement mode of cargo width to pallet length and cargo length to pallet width is adopted. And S309 is performed.

[0220] S308, the vertical and horizontal staggered stacking mode is adopted to improve stability. And S309 is performed.

[0221] S309, the limit maximum stacking layer number is set.

[0222] Exemplarily, the electronic device can use a cloud platform to calculate the stacking layer number through initial data.

[0223] In an example, the formula for calculating the stacking layer number can be:

[0224] (8)

[0225] wherein, is the allowed maximum stacking height. The unit of the allowed maximum stacking height is millimeter (mm). The allowed maximum stacking height can be determined according to the warehouse. is the pallet height, with the unit of millimeter (mm). is the height of a single package, with the unit of millimeter (mm). is the pallet carrying capacity weight, with the unit of kilogram (kg). The pallet carrying capacity weight can be determined by the experimental pallet static load strength and the shelf dynamic load coefficient. is the single-layer cargo weight, with the unit of kilogram (kg).

[0226] In an example, after determining the stacking mode of the single layer, the subsequent initial data , , , is imported into the cloud platform, and the smaller value is selected after the down rounding calculation to set the limit of the maximum stacking layer number.

[0227] In this example, the best stacking scheme of the electrical appliance package is obtained by scientific calculation, and the stacking scheme suitable for each region is designed through subsequent dynamic adjustment to improve the safety of the packaging product and reduce the damage rate.

[0228] Figure 4Flowchart of the intelligent warehousing method provided in this application Figure Four ,like Figure 4 As shown, in this embodiment... Figures 1 to 3 Based on the illustrated embodiment, the electronic device can also determine the optimal stacking method according to the carrier pallet, stacking area, and goods before the first stacking of goods. This method includes:

[0229] S401. Determine the single-layer stacking method based on the maximum quantity of goods in a single layer, the pallet length and width of the carrier pallet, and the packaging length and width of the goods packaging.

[0230] For example, electronic devices can determine the optimal arrangement of goods on a pallet by analyzing the size of the goods, the size of the pallet, and the maximum capacity limit of a single layer, combined with mathematical modeling or algorithm optimization, so as to maximize space utilization or optimize operational efficiency.

[0231] In one example, the maximum number of goods per layer refers to the maximum number of goods that can be stacked in a single layer under pallet size constraints, which is usually determined by the ratio of the pallet area to the projected area of ​​a single goods.

[0232] In one example, the pallet length / width is the physical size of the carrier pallet. Redundancy at the pallet edges needs to be considered. Optionally, this redundancy could be forklift clearance, etc.

[0233] In one example, the package length / width can be determined based on the outer contour dimensions of the goods package. Optionally, the package length / width may include protruding parts of the goods package. For example, the protruding parts may be handles, labels, etc.

[0234] In one example, the electronic device can use a regular arrangement algorithm to arrange goods. The electronic device can determine the number of goods arranged along the length direction by calculating the integer multiple relationship between the pallet length and the packaging length. Similarly, it can calculate the number of goods arranged along the width direction, ultimately obtaining the number of single layers, 'a'.

[0235] For example, this method can be applied to standard-sized goods. For instance, it is suitable for cartons and bottled goods.

[0236] In one example, an electronic device can use a hybrid size optimization algorithm to achieve cargo arrangement. The electronic device can take into account the size and quantity of various goods, and use a genetic algorithm or dynamic programming to generate irregular permutations to fill the gaps in the regular arrangements.

[0237] For example, long, narrow goods can be rotated 90° and then laid flat together with square goods.

[0238] In one example, electronic devices can use 3D simulation to model cargo placement. The electronic devices can load 3D models of the cargo and pallets and simulate the stability of different arrangement methods using collision detection algorithms.

[0239] In one example, the electronic device can output a visual stacking diagram and mark the center position to help staff adjust the plan.

[0240] S402. Determine the number of stacking layers based on the maximum number of stacking layers, the stackable height of the storage area, and the packaging height of the goods.

[0241] For example, the electronic device may have a pre-stored maximum number of stacking layers. The electronic device can also calculate the number of stacking layers within a given space based on the stackable height of the storage area and the packaging height of the goods. The electronic device can then determine the final number of stacking layers based on this maximum number of stacking layers and the number of stacking layers within that space.

[0242] In one example, the maximum number of stacking layers is usually determined by the strength of the packaging material and is the recommended maximum number of stacking layers indicated on the goods packaging.

[0243] In one example, the stackable height can be determined based on the vertical space limitations of the storage area.

[0244] In one example, the package height is the vertical dimension of the goods when stacked in a single layer. Optionally, this package height may include allowance for package deformation.

[0245] In one example, the electronic device can calculate the number of stacking layers by calculating the ratio of the stackable height to the packaging height and rounding down.

[0246] In one example, if the number of stacking layers is greater than the maximum number of stacking layers, then the maximum number of stacking layers is used as the final number of stacking layers.

[0247] For example, by using mathematical modeling and optimization algorithms based on cargo and pallet dimensions to determine the single-layer arrangement and combination, and by dynamically calculating the number of stacking layers in conjunction with storage height limits and safety factors, the dual optimization effect of maximizing storage space utilization and cargo stacking security can be achieved.

[0248] Figure 5 Flowchart of the intelligent warehousing method provided in this application Figure Five ,like Figure 5 As shown, in this embodiment... Figures 1 to 4 Based on the illustrated embodiment, the specific number of executions for calculating the maximum stacking layer can include:

[0249] S501, Set the maximum stacking layer limit.

[0250] S502, store in transit warehouse.

[0251] Exemplarily, during the logistics transportation of the packaging, it is required to be transported from the logistics department of the company headquarters to the transit warehouse of each region.

[0252] S503, upload sensor data to cloud platform.

[0253] Exemplarily, during the stacking process, the sensor will detect the humidity of the corrugated box and the load of each face during the stacking process, and transmit the data to the cloud platform in real time.

[0254] In an example, the cloud platform can network to capture the future humidity of the destination of the next transit warehouse.

[0255] S504, static stacking.

[0256] Exemplarily, the electronic device can detect the data humidity and load through the hole type flexible film layer.

[0257] In an example, the electronic device can measure that the ECT decreases by about 15% when the water content of corrugated paperboard increases by 10% through experiments or empirical methods.

[0258] In an example, the electronic device can correct the ECT according to the humidity of the warehouse area. The correction formula can be shown as formula (2).

[0259] In an example, the electronic device can detect the load of each of the six faces of the goods packaging. The electronic device can obtain the maximum load as the goods load of the goods packaging.

[0260] In an example, the electronic device can determine the load parameter according to the corrected edge pressure strength, the second correction coefficient and the Kariyaka constant. The formula can be shown as formula (3).

[0261] S505, calculate the fatigue coefficient and determine whether the fatigue coefficient is greater than the safety threshold.

[0262] Exemplarily, the electronic device can determine the fatigue coefficient according to the ratio of the load parameter and the goods load. The electronic device can compare the fatigue coefficient with the safety threshold. If the fatigue coefficient is less than the safety threshold, step S506 is executed. If the fatigue coefficient is greater than or equal to the safety threshold, step S507 is executed.

[0263] In an example, the electronic device can determine the safety threshold according to the stacking time and the corrugated box fatigue relationship.

[0264] S506, manually review the goods packaging. If the manual review passes, step S507 is executed. If the manual review does not pass, step S508 is executed.

[0265] S507, the warehousing is completed.

[0266] S508, re-stacking, and returning to step S501.

[0267] In this example, by combining the environmental humidity variable and the actual cargo stacking load size with the design stacking mode, the most suitable logistics warehousing mode of the electrical appliance packaging can be obtained, thereby reducing the damage rate of the cargo and improving the integrity of the product.

[0268] In one example, the electronic device can predict the damage of the packaging stacking according to the future humidity of the destination of the next transfer warehouse, and notify the personnel at the transfer site in advance to determine the stacking mode of the cargo

[0269] Figure 6 The structural diagram of the intelligent warehousing device provided in the present application is shown in Figure 6 The intelligent warehousing device 600 provided in the present embodiment includes:

[0270] The acquisition module 601 is configured to acquire the humidity of the warehousing area and the cargo load borne by the cargo packaging stored in the warehousing area.

[0271] The processing module 602 is configured to determine the fatigue coefficient of the cargo packaging according to the humidity of the warehousing area and the packaging parameters corresponding to the cargo packaging and the cargo load. If it is determined that the cargo packaging is abnormal according to the fatigue coefficient, an abnormality reminder is sent.

[0272] In one example, the packaging parameters corresponding to the cargo packaging include the edge compression strength, the packaging type, and the Kardex constant. The processing module 602 is configured to:

[0273] determine the load parameter according to the edge compression strength of the cargo packaging, the packaging type, the Kardex constant, and the humidity of the warehousing area.

[0274] determine the fatigue coefficient of the cargo packaging according to the load parameter and the cargo load.

[0275] In one example, the processing module 602 is configured to:

[0276] determine a first correction coefficient of the variable compression strength and a second correction coefficient of the load parameter according to the packaging type.

[0277] correct the edge compression strength of the cargo packaging according to the first correction coefficient and the humidity of the warehousing area to obtain a corrected edge compression strength.

[0278] determine the load parameter according to the corrected edge compression strength, the second correction coefficient, and the Kardex constant.

[0279] In an example, the load of the goods carried by the goods package stored in the storage area is obtained by the load sensor arranged on the surface of the goods package.

[0280] In an example, the load sensor is embedded in a film layer arranged on the surface of the goods package. The film layer is a hole type flexible film layer.

[0281] In an example, the processing module 602 is configured to:

[0282] If the fatigue coefficient is greater than or equal to the safety threshold, it is determined that the goods package is normal.

[0283] If the fatigue coefficient is less than the safety threshold, it is determined that the goods package is abnormal.

[0284] In an example, the safety threshold is determined according to the stacking time of the goods in the storage area.

[0285] In an example, the processing module 602 is configured to:

[0286] According to the safety threshold and the load parameter, the safety load is determined.

[0287] According to the safety load, the optimized stacking layer number is determined.

[0288] In an example, the processing module 602 is configured to:

[0289] According to the maximum number of goods in a single layer, the tray length and the tray width of the carrier tray, and the package length and the package width of the goods package, the single layer stacking mode is determined.

[0290] According to the maximum stacking layer number, the stackable height of the storage area, and the package height of the goods package, the stacking layer number is determined.

[0291] The intelligent storage device provided in the embodiment can execute the method provided in the method embodiment, and has similar implementation principles and technical effects. Details are not described here.

[0292] Figure 7 The structure schematic diagram of the electronic device provided in the present application is shown in FIG. 7. As shown in FIG. 7, the electronic device 700 provided in the embodiment includes at least one processor 701 and a memory 702. Optionally, the device 70 also includes a communication component 703. The processor 701, the memory 702, and the communication component 703 are connected through a bus 704. Figure 7

[0293] In the specific implementation process, the at least one processor 701 executes the computer execution instructions stored in the memory 702, so that the at least one processor 701 executes the method described above.

[0294] ​The specific implementation process of the processor 701 can refer to the method embodiments described above, which have similar implementation principles and technical effects, and thus will not be described here.

[0295] In the above embodiments, the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the disclosed method can be directly embodied as hardware processor execution, or a combination of hardware and software modules in the processor.

[0296] The memory can include a random access memory (RAM), and can also include a non-volatile memory (NVM), such as at least one disk memory.

[0297] The bus can be an industry standard architecture (ISA) bus, a peripheral component (PCI) bus, an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application does not limit to only one bus or one type of bus.

[0298] The present application also provides a computer program product, comprising a computer program, which is executed by a processor to implement the above method.

[0299] The present application also provides a computer readable storage medium, which stores computer execution instructions, and when a processor executes the computer execution instructions, the above method is implemented.

[0300] The above readable storage medium can be realized by any type of volatile or nonvolatile storage device or combination thereof, such as Static Random-Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0301] An exemplary readable storage medium is coupled to the processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a part of the processor. The processor and the readable storage medium can be located in an Application Specific Integrated Circuit (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in the device.

[0302] The division of units is only a logical functional division, and in actual implementation, there can be another division manner. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0303] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed on multiple network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0304] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0305] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the method of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and various media that can store program codes.

[0306] Those of ordinary skill in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction-related hardware. The aforementioned program can be stored in a computer readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, a magnetic disk or an optical disk, and various media that can store program codes.

[0307] Finally, it should be noted that: those skilled in the art will easily think of other embodiments of the present application after considering the specification and practicing the application disclosed herein. The present application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or conventional technical means in the art that are not disclosed in the present application, and is not limited to the precise structure described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the present application is only limited by the appended claims.

Claims

1. A smart warehousing method, characterized in that, The method comprises: obtaining humidity of a storage area and a cargo load borne by a cargo package stored in the storage area; determining a fatigue coefficient of the cargo package according to the humidity of the storage area and a packaging parameter corresponding to the cargo package and the cargo load; if it is determined that the cargo package is abnormal according to the fatigue coefficient, sending an abnormality prompt.

2. The method of claim 1, wherein, The packaging parameter corresponding to the cargo package comprises side pressure strength, a packaging type and a Kari-Kat constant; the fatigue coefficient of the cargo package is determined according to the humidity of the storage area and the packaging parameter corresponding to the cargo package and the cargo load, comprising: determining a load parameter according to the side pressure strength, the packaging type, the Kari-Kat constant and the humidity of the storage area of the cargo package; determining the fatigue coefficient of the cargo package according to the load parameter and the cargo load.

3. The method of claim 2, wherein, The load parameter is determined according to the side pressure strength, the packaging type, the Kari-Kat constant and the humidity of the storage area of the cargo package, comprising: determining a first correction coefficient of the side pressure strength and a second correction coefficient of the load parameter according to the packaging type; correcting the side pressure strength of the cargo package according to the first correction coefficient and the humidity of the storage area to obtain a corrected side pressure strength; determining the load parameter according to the corrected side pressure strength, the second correction coefficient and the Kari-Kat constant.

4. The method according to any one of claims 1 to 3, characterized in that, The cargo load borne by the cargo package stored in the storage area is obtained by a load sensor arranged on a surface of the cargo package.

5. The method of claim 4, wherein, The load sensor is embedded in a film layer arranged on the surface of the cargo package; the film layer is a hole type flexible film layer.

6. The method according to any one of claims 1-3, characterized in that, If it is determined that the cargo package is abnormal according to the fatigue coefficient, the abnormality prompt is sent, comprising: if the fatigue coefficient is greater than or equal to a safety threshold, it is determined that the cargo package is not abnormal; if the fatigue coefficient is less than the safety threshold, it is determined that the cargo package is abnormal.

7. The method of claim 6, wherein, The safety threshold is determined according to a stacking time of the cargo in the storage area.

8. The method of any one of claims 1-3, wherein, The method further comprises: determining a safety load according to the safety threshold and the load parameter; determining an optimized stacking layer number according to the safety load.

9. The method of any one of claims 1-3, wherein, The method further comprises: determining a single-layer stacking mode according to a maximum single-layer cargo quantity, a tray length and a tray width of a carrier tray and a packaging length and a packaging width of a cargo package; determining a stacking layer number according to a maximum stacking layer number, a stackable height of the storage area and a packaging height of the cargo package.

10. An intelligent warehousing device, characterized by, The method comprises: an obtaining module, configured to obtain humidity of a storage area and a cargo load borne by a cargo package stored in the storage area; a processing module, configured to determine a fatigue coefficient of the cargo package according to the humidity of the storage area and a packaging parameter corresponding to the cargo package and the cargo load; if it is determined that the cargo package is abnormal according to the fatigue coefficient, sending an abnormality prompt.

11. An electronic device, comprising: The method comprises: a memory and a processor; the memory stores computer execution instructions. The processor executes computer-executable instructions stored in the memory such that the processor performs the method of any of claims 1-9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium has stored therein computer-executable instructions that, when executed by a processor, perform the method of any of claims 1-9.

13. A computer program product, characterised in that, A computer program that, when executed by a processor, performs the method of any of claims 1-9.

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