Cargo loading planning method and system

Abstract

The invention discloses a cargo loading planning method and system, and the method comprises the steps: collecting the information of commodities arriving at an import and export port, and determining the parameter information of a to-be-detected commodity for commodity detection and the overall loading value information; collecting container information and available truck information, and determining current available loading information; based on the to-be-tested commodity parameter information, the overall loading numerical value information and the current available loading information, carrying out cargo simulation planning, placing and stacking and planning cost optimization calculation to obtain a boxing planning result and loading planning cost of the to-be-boxed cargo; generating a loading instruction according to the boxing planning result of the to-be-boxed goods; in the loading process, real-time loading state information is obtained; comparing with a preset loading standard to obtain a loading difference value; if the loading difference value is out of the difference threshold range, triggering a loading adjustment instruction, and adjusting the boxing planning result according to the loading adjustment instruction; according to the invention, the loading of goods is improved, and the space loss of container loading is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of cargo loading, and in particular to a cargo loading planning method and system. Background Art

[0002] In the inspection of imported and exported goods (for example, black and white electrical appliances such as televisions, and other electronic products), it is generally necessary to send the goods arriving at the import and export ports to the inspection site or warehouse for inspection. There may be one or more types of goods that need to be inspected at the import and export ports, and each type has a certain quantity of goods and is packaged in a cargo box. When sending them, it is often necessary to load the goods arriving at the import and export ports into containers and load them into trucks and send them to the inspection site or warehouse.

[0003] At present, how to load the commodities arriving at the import and export ports into containers, such as how many containers of what size are needed, how to stack and load them in the containers, and what size of truck is needed for transportation (generally, one large truck is enough to load all the goods), is mainly judged by manual visual inspection combined with past experience; the method of judging by manual visual inspection combined with past experience is more dependent on the personal judgment of the person in charge on site, has a certain degree of randomness and deviation, and takes a certain amount of time; and this method cannot minimize the cost of this link, such as labor costs, container and truck usage costs, etc., and therefore has the defect of poor loading efficiency of commodities and goods, and there is room for improvement. Summary of the invention

[0004] In order to improve the loading efficiency of commodity goods and effectively reduce the economic cost of the cargo loading process, the present application provides a cargo loading planning method and system.

[0005] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A cargo loading planning method, comprising: Collect information on commodities arriving at import and export ports, determine parameter information of commodities to be tested and overall loading value information that need to be tested, the overall loading value information including the space dimensions of the cargo box and cargo loading requirements; Collect container information and available truck information of corresponding import and export ports to determine the current available loading information; In the preset cargo loading planning model, cargo simulation planning placement and stacking and planning cost optimization calculation are performed based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information to obtain the corresponding packing planning results and loading planning costs of the cargo to be packed; Generate loading instructions according to the packing planning results, loading planning costs and overall loading numerical information of the goods to be packed; obtain real-time loading status information during the loading process; compare the real-time loading status information with the preset loading standard to obtain a loading difference value; compare the loading difference value with a preset difference threshold value; If the loading difference value is outside the preset difference threshold range, a loading adjustment instruction is triggered, and the packing planning result is adjusted according to the loading adjustment instruction.

[0006] By adopting the above technical scheme, since different commodities and goods have different loading standard requirements, when planning and transporting cargo loading, it is necessary not only to consider the difficulty and feasibility of container packing, but also to consider the safety and pressure-bearing capacity of cargo during loading and stacking, and to protect the commodities and goods. This application collects and obtains parameter information of the commodities to be tested and overall loading value information according to the actual demand for commodities to be tested and loading demand of the import and export ports, so as to associate accurate loading standards with the actual commodities to be tested, improve the cargo loading planning effect, and at the same time, obtain the currently available truck information and available container information collected at the import and export ports; in the next step, according to the parameter information of the commodities to be tested and the overall loading value information The information and currently available loading information are used to simulate the planning of cargo placement, stacking and placement space calculation, and the simulated planning results and costs of packing planning are obtained, so as to obtain the packing planning results suitable for the current loading capacity and the demand for loading. The corresponding packing planning cost is the loading planning value obtained after low-cost optimization calculation. The method of obtaining loading planning results through intelligent advance planning can immediately load the commodities and goods when they arrive at the import and export ports, greatly reducing the time required for the loading of commodities and the inspection and transportation of commodities, and greatly reducing the cost of this link, effectively reducing the economic cost of the cargo loading link, which is conducive to improving the loading efficiency of commodities and goods and reducing the space loss of container loading.

[0007] Furthermore, in order to verify and track the feasibility of the packing planning results, improve the accuracy and economic applicability of the packing planning results, effectively ensure that the packing planning results based on the current goods to be packed meet the relevant loading standards, and improve the quality of cargo loading; during the loading process, obtain real-time loading status information and the corresponding loading difference value, and obtain the loading and transportation status of the goods by comparing the loading difference value with the preset difference threshold value. When the loading difference value is outside the preset difference threshold range, trigger the loading adjustment instruction, and adjust the packing planning results according to the loading adjustment instruction, which is conducive to ensuring that the packing planning results meet the preset loading standards and improve the cargo loading planning effect.

[0008] In a preferred example of the present application, the information of commodities arriving at the import and export ports is collected, and the parameter information of the commodities to be tested and the overall loading value information that need to be tested are determined, including: Collect commodity information arriving at the import and export port through the port management system or logistics information system, the commodity information includes the type, weight, shape, material, fragility, and shelf life of the commodity; the commodity information is associated with the commodity identification; Acquire goods inspection requirement information based on the goods identification, and extract at least one information from the goods information as the parameter information of the goods to be tested based on the goods inspection requirement information; According to the commodity cargo information, the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements are determined as the overall loading numerical information.

[0009] By adopting the above technical solution, all commodity and cargo information that is about to arrive at the import and export port or has arrived at the import and export port can be obtained more comprehensively and systematically through the commodity and cargo information provided by the customers or factories of the import and export port, or through the port management system or the logistics information system. Based on the commodity and cargo information, a unique commodity and cargo identification is associated. The commodity and cargo identification is a unique product and cargo information code. Based on the commodity and cargo identification, it is possible to obtain whether the commodity needs to be inspected, and to associate the information requirement information of the commodity and cargo to be inspected, so as to extract at least one or all of the information that needs to be inspected from the commodity and cargo information as the parameter information of the commodity to be inspected, and then determine the spatial size of the cargo box, the cargo loading sequence, the stacking stability requirements, the pressure resistance range of the cargo box and the cargo spacing requirements as the overall loading value information based on the commodity and cargo identification. The overall loading value information is the loading information of the commodity and cargo when it meets the loading standards, is placed and stacked, or is in a placed and stacked state; by obtaining the commodity information to be tested and the overall loading value information in advance, it is convenient to plan the loading of the goods in advance, obtain the corresponding packing planning results, and improve the applicability of the cargo loading planning method and meet the actual loading volume requirements.

[0010] In a preferred example of the present application, in the preset cargo loading planning model, cargo simulation planning placement and stacking and planning cost optimization calculation are performed based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information, and the corresponding packing planning results and loading planning costs of the cargo to be packed are obtained, including: The preset cargo loading planning model includes at least one of a packing algorithm based on cargo characteristics, a space optimization algorithm based on container size and truck size, and a cost optimization algorithm based on loading cost. The preset cargo loading planning model can automatically adjust the placement, stacking method and cargo spacing of cargo in containers and trucks; In the preset cargo loading planning model, the loading parameters are calculated based on the parameter information of the commodity to be tested, the commodity cargo identification and the overall loading value information; wherein the loading parameters include the loading area division, the cargo arrangement mode of each loading area, the spacing between the cargoes and the stacking order; In the preset cargo loading planning model, cargo simulation planning placement and stacking are performed based on the loading parameters and currently available loading information to obtain a number of initial packing planning results of the corresponding cargo to be packed; planning costs are calculated based on the several initial packing planning results of the cargo to be packed to obtain a number of corresponding initial loading planning costs; Under the preset constraint conditions, cost optimization calculation is performed based on the several initial packing planning results and the several initial loading planning costs to obtain the corresponding packing planning results and loading planning costs of the goods to be packed.

[0011] By adopting the above technical solution, the preset cargo loading planning model includes a variety of space optimization algorithms and cost optimization algorithms, such as a packing algorithm based on cargo characteristics, a space optimization algorithm based on container size and truck size, and a cost optimization algorithm based on loading cost, so as to perform a variety of scenario simulations according to different types of truck compartments or containers and the actual loading costs incurred, and obtain packing planning results and loading planning costs that meet both space optimization and cost optimization requirements. At the same time, in actual cargo loading, factors related to cargo characteristics (such as fragility and chemical properties) are also needed for loading planning. For example, the pressure bearing capacity of the cargo box of the cargo needs to be high or low, and the number of stacking layers needs to be considered, or when multiple types of cargo are planned in one compartment, certain spacing requirements or Whether the loading standards are not met due to the chemical properties of the goods, etc., to avoid mutual contamination or damage of goods, and the weight and volume of goods without goods do not exceed the corresponding capacity of the container, etc.; the present application optimizes the iterative algorithm calculation method such as the packing algorithm based on the characteristics of the goods, the space optimization algorithm based on the container size and the truck size, and the cost optimization algorithm based on the loading cost. After obtaining several initial packing planning results and several initial loading planning costs, the cost optimization calculation method is performed. This method can not only consider the characteristics of the goods and the loading standards of the goods, but also meet the cost optimization calculation needs, so as to obtain the packing planning results and loading planning costs that are suitable for selecting the appropriate container type and loading method according to the specific situation, and strictly abide by the relevant safety regulations and loading standards.

[0012] In a preferred example of the present application, the preset constraint condition includes maximizing the space utilization rate; the preset constraint condition satisfies the optimization calculation of the space utilization rate using formula (1) and formula (2): P i =K i Wi (H / h-1)(2) The origin is the lower left rear point of the truck compartment or the lower left side point of the container, U is the space utilization rate, i is the cargo identifier, and v is the i is the volume of cargo i, j is the identifier of different trucks or containers, V j is the volume of compartment j, P i is the compressive strength of the cargo box of cargo i; K i is the stacking safety factor of cargo i, W i is the total weight of cargo i after being loaded into the cargo box, H is the stacking height, h is the height of a single cargo box, and H / h represents the number of stacking layers.

[0013] By adopting the above technical solution, the compressive strength and space utilization of the corresponding cargo box are calculated based on different types of actual commodity cargo identification i, so as to solve the constraint conditions of space utilization based on the actual pressure bearing capacity of the cargo box, thereby improving the efficiency of cargo loading planning.

[0014] In a preferred example of the present application, during the loading process, real-time loading status information is obtained; the real-time loading status information is compared with a preset loading standard to obtain a loading difference value, including: During the loading process, detection and analysis are performed through sensor equipment or manual user terminals to obtain real-time loading status information; the real-time loading status information includes the actual loading volume, actual stacking status, actual cargo spacing and regional location of the goods; the real-time loading status information is compared one by one with the loading volume standard, stacking stability standard, cargo spacing standard and cargo location accuracy standard in the preset loading standards to obtain real-time comparison results; According to the real-time comparison result, a loading difference value is calculated, and the loading difference value includes loading amount difference, stacking stability difference, interval difference and position difference.

[0015] By adopting the above technical scheme, real-time loading status information is obtained during the loading process and compared with the corresponding preset loading standards, so as to track and verify the feasibility and implementation status of the packing planning results, and by comparing the real-time loading status information with the loading volume standard, stacking stability standard, cargo spacing standard and cargo position accuracy standard in the preset loading standards one by one, a more accurate real-time comparison result is obtained in a more detailed data comparison method, so as to carry out refined tracking of the loading volume situation, cargo stacking stability situation, spacing difference situation and position difference situation in the actual loading process, so as to improve the planning accuracy of the loading plan.

[0016] In a preferred example of the present application, if the loading difference value is outside the preset difference threshold range, a loading adjustment instruction is triggered, and the packing planning result is adjusted according to the loading adjustment instruction, including: When any one or more of the load difference values ​​exceeds a preset difference threshold, a load adjustment instruction is triggered; According to the loading adjustment instruction, combined with the real-time loading status information and the overall loading value information, the packing planning result is adjusted, including adjusting the placement position, stacking method, cargo spacing or loading sequence of the goods.

[0017] By adopting the above technical solution, based on the comparison result between the loading difference value and the preset difference threshold, it is judged whether to adjust the packing planning result so that the packing planning result is more in line with the actual loading situation and loading standard requirements, so as to facilitate timely triggering of the loading adjustment instruction when an abnormality occurs in the packing planning result (that is, when any one or more of the loading difference values ​​exceeds the preset difference threshold), so as to facilitate improving the feasibility and applicability of the packing planning result.

[0018] In a preferred example of the present application, the step of adjusting the packing planning result according to the loading adjustment instruction specifically includes: According to the loading adjustment instruction, the partition adjustment parameter information is obtained, wherein the partition adjustment parameter information includes the re-positioning position of the partitioned goods, the stacking method of the partitioned goods, or the loading order of the partitioned goods; Compare the repositioning position, stacking method or loading order of the partitioned goods with the preset loading standard, and if the partition adjustment parameter information does not meet the preset loading standard, trigger a secondary adjustment instruction; According to the secondary adjustment instruction, recalculate the rearrangement position, stacking method or loading order of the partitioned goods until the partition adjustment parameter information meets the preset loading standard, and generate the final loading adjustment instruction; The packing planning result is adjusted according to the final loading adjustment instruction.

[0019] By adopting the above technical solution, different types of goods can be stacked in different areas in the scenario where multiple goods are loaded in one container. Based on the actual goods classification and cargo isolation requirements and on the basis of fully utilizing the internal space of the container, the present application can trigger multiple adjustment instructions, so that the partition adjustment parameter information of each sub-area corresponding to the multiple goods meets the preset loading standards. The loading planning and planning optimization and adjustment of the partition adjustment parameter information of each sub-area can ensure the high quality standards of the packing planning results.

[0020] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A cargo loading planning system, the system comprising: The commodity information collection module is used to collect commodity information arriving at the import and export ports, determine the commodity parameter information and overall loading value information of the commodity to be tested that need to be tested, and the overall loading value information includes the cargo box space size and cargo loading requirements; The available loading information determination module is used to collect the container information and available truck information of the corresponding import and export ports and determine the current available loading information; The stacking and cost planning module is used to perform cargo simulation planning, stacking and planning cost optimization calculation based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information in a preset cargo loading planning model, and obtain the corresponding packing planning results and loading planning costs of the cargo to be packed; A loading instruction generating module, used for generating a loading instruction according to the packing planning result of the goods to be packed, the loading planning cost and the overall loading value information; The loading difference comparison module is used to obtain real-time loading status information during the loading process; compare the real-time loading status information with the preset loading standard to obtain a loading difference value; and compare the loading difference value with a preset difference threshold value; The planning result adjustment module is used to trigger a loading adjustment instruction if the loading difference value is outside a preset difference threshold range, and adjust the packing planning result according to the loading adjustment instruction.

[0021] By adopting the above technical scheme, the present application collects and obtains parameter information of the goods to be tested and overall loading value information according to the actual demand for goods to be tested and loading demand of the import and export ports, so as to associate accurate loading standards for the actual goods to be tested, improve the cargo loading planning effect, and obtain the current available loading information according to the collected current available truck information and available container information of the import and export ports; the next step is to perform cargo simulation planning, placement, stacking and placement space calculation according to the parameter information of the goods to be tested, the overall loading value information and the current available loading information, and obtain the packing planning results and packing planning costs of the simulation planning, so as to obtain the packing planning results suitable for the current loading capacity and the demand for loading, the corresponding packing planning cost is the loading planning value obtained after low-cost optimization calculation, and the method of obtaining the loading planning results through intelligent advance planning can immediately load the goods when they arrive at the import and export port, greatly reducing the time required for the loading of the goods and the goods inspection and transportation process, and greatly reducing the cost of this link, effectively reducing the economic cost of the cargo loading link, and is conducive to improving the loading efficiency of the goods.

[0022] Furthermore, in order to verify and track the feasibility of the packing planning results, improve the accuracy and economic applicability of the packing planning results, effectively ensure that the packing planning results based on the current goods to be packed meet the relevant loading standards, and improve the quality of cargo loading; during the loading process, obtain real-time loading status information and the corresponding loading difference value, and obtain the loading and transportation status of the goods by comparing the loading difference value with the preset difference threshold value. When the loading difference value is outside the preset difference threshold range, trigger the loading adjustment instruction, and adjust the packing planning results according to the loading adjustment instruction, which is conducive to ensuring that the packing planning results meet the preset loading standards and improve the cargo loading planning effect.

[0023] In a preferred example of the present application: the commodity information collection module to be tested includes: The port cargo information collection submodule is used to collect the commodity cargo information arriving at the import and export port through the port management system or the logistics information system. The commodity cargo information includes the type, weight, shape, material, fragility, and shelf life of the commodity; the commodity cargo information is associated with the commodity cargo identification; A commodity information determination submodule for testing, configured to obtain commodity testing requirement information based on the commodity identification, and extract at least one information from the commodity information as the commodity parameter information based on the commodity testing requirement information; The overall loading information determination submodule is used to determine the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements as the overall loading numerical information according to the commodity cargo information.

[0024] By adopting the above technical solution, the port management system or logistics information system can obtain all the commodity information that is about to arrive at the import and export port or arrives at the import and export port in a more comprehensive and systematic manner, and associate a unique commodity identification based on the commodity information. The commodity identification is a unique product information code. Based on the commodity identification, it can be obtained whether the commodity needs to be inspected, and the information required for the commodity to be inspected can be associated, so as to extract at least one or all of the information required for commodity inspection from the commodity information as the parameter information of the commodity to be tested, and then determine the spatial size of the cargo box, the cargo loading sequence, the stacking stability requirements, the pressure resistance range of the cargo box and the cargo spacing requirements as the overall loading numerical information based on the commodity identification. The overall loading numerical information is the loading information of the commodity that meets the loading standards, is placed and stacked, or is in a placed and stacked state; by obtaining the commodity information to be tested and the overall loading numerical information in advance, it is convenient to plan the loading of the goods in advance, obtain the corresponding packing planning results, and improve the applicability of the cargo loading planning method and meet the actual loading volume requirements.

[0025] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application collects and obtains parameter information and overall loading value information of the commodities to be tested based on the actual demand for commodities to be tested and loading demand at the import and export ports, so as to associate accurate loading standards with the actual commodities to be tested and improve the effect of cargo loading planning. At the same time, the currently available loading information is obtained based on the collected information of available trucks and available containers at the import and export ports. Next, the cargo simulation planning placement, stacking and placement space calculation are performed based on the parameter information of the commodities to be tested, the overall loading value information and the currently available loading information, and the packing planning results and packing planning costs of the simulated planning are obtained, so as to obtain the packing planning results suitable for the current loading capacity and the demand for loading. The corresponding packing planning cost is a low-cost optimization calculation. The loading planning value obtained after the loading planning is obtained, and the method of obtaining the loading planning result through intelligent advance planning can immediately load the goods when the goods arrive at the import and export port, greatly reducing the time required for the loading and inspection and transportation of the goods, and greatly reducing the cost of this link, effectively reducing the economic cost of the goods loading link, which is conducive to improving the loading efficiency of the goods; further, in order to verify and track the feasibility of the packing planning results, improve the accuracy and economic applicability of the packing planning results, effectively ensure that the packing planning results based on the current goods to be packed meet the relevant loading standards, and improve the quality of goods loading; in the loading process, obtain real-time loading status information and the corresponding loading difference value, through By comparing the loading difference value with the preset difference threshold, the loading and transportation status of the goods is obtained, and when the loading difference value is outside the preset difference threshold, the loading adjustment instruction is triggered, and the packing planning result is adjusted according to the loading adjustment instruction, which is conducive to ensuring that the packing planning result meets the preset loading standard and improves the effect of cargo loading planning; 2. Through the port management system or logistics information system, all commodity cargo information that is about to arrive at the import and export port or has arrived at the import and export port can be obtained more comprehensively and systematically, based on the commodity cargo information associated with the unique commodity cargo identification, the commodity cargo identification is the unique product cargo information code, based on the commodity cargo identification, it can be obtained whether the commodity needs to be inspected, and Associate the information of the commodity to be tested with the required information, so as to extract at least one or all the information required for commodity testing from the commodity information as the parameter information of the commodity to be tested, and then determine the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements as the overall loading value information based on the commodity identification. The overall loading value information is the loading information of the commodity when it meets the loading standards, is placed and stacked, or is in a placed and stacked state; by obtaining the commodity information to be tested and the overall loading value information in advance, it is convenient to plan the loading of the goods in advance and obtain the corresponding packing planning results, so as to improve the applicability of the cargo loading planning method and meet the actual loading volume requirements; 3.The preset cargo loading planning model includes a variety of space optimization algorithms and cost optimization algorithms, such as a packing algorithm based on cargo characteristics, a space optimization algorithm based on container size and truck size, and a cost optimization algorithm based on loading cost, so as to perform a variety of scenario simulations according to different types of truck compartments or containers and the actual loading costs, and obtain packing planning results and loading planning costs that meet both space optimization and cost optimization requirements. At the same time, in actual cargo loading, factors related to cargo characteristics (such as fragility and chemical properties) are also needed for loading planning. For example, the pressure bearing capacity of the cargo box needs to be considered, the number of stacking layers needs to be considered, or when multiple types of cargo are planned in one compartment, certain spacing requirements need to be met or whether the cargo Chemical properties do not meet the loading standards, etc., to avoid mutual contamination or damage of goods, and the weight and volume of goods do not exceed the corresponding capacity of the container; this application optimizes the iterative algorithm calculation method based on the packing algorithm based on the characteristics of the goods, the space optimization algorithm based on the size of the container and the size of the truck, and the cost optimization algorithm based on the loading cost. After obtaining several initial packing planning results and several initial loading planning costs, the cost optimization calculation method is performed. It can not only consider the characteristics of the goods and the loading standards of the goods, but also meet the cost optimization calculation requirements, so as to obtain the packing planning results and loading planning costs that select the appropriate container type and loading method according to the specific situation, and strictly comply with the relevant safety regulations and loading standards. . BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a cargo loading planning method in one embodiment of the present application. DETAILED DESCRIPTION

[0027] The present application is further described in detail below in conjunction with the accompanying drawings.

[0028] In one embodiment, if Figure 1 As shown, the present application discloses a cargo loading planning method, which specifically includes the following steps: S1: Collect commodity cargo information arriving at the import and export ports, determine the parameter information of the commodities to be tested and the overall loading value information that needs to be tested, and the overall loading value information includes the cargo box space size and cargo loading requirements.

[0029] In this embodiment, the commodity information includes the type, weight, shape, material, fragility, shelf life, etc. of the commodity, and parameter information of the commodity to be tested; and parameters are obtained by extracting at least one commodity information based on the characteristics of the commodity.

[0030] Specifically, since different commodities have different loading standard requirements, when planning the transportation of cargo loading, it is necessary not only to consider the difficulty and feasibility of container packing, but also to consider the safety during loading and stacking and the pressure-bearing capacity of the cargo to protect the commodities. This application collects the parameter information of the commodities to be tested and the overall loading value information based on the actual demand for commodities to be tested and the loading demand at the import and export ports, so as to associate accurate loading standards with the actual commodities to be tested.

[0031] Furthermore, different types of containers have different loading standards. For example, according to GB / T-2008 "Container Packing Standard", the bulk cargo shall not exceed 500 kg per cubic meter, so a standard container can load up to about 25 tons of cargo); the standard for refrigerated containers is shown as equipped with refrigeration devices, suitable for refrigerated cargo, and the maximum loading capacity is generally 23 tons; the loading standards stipulate requirements for container specifications and loads, cargo loads during loading, cargo classification and isolation, that is, the cargo loading standards for containers involve multiple aspects such as container type, specifications, loads, cargo size, shape, weight, volume, cargo classification and isolation.

[0032] S2: Collect container information and available truck information of corresponding import and export ports, and determine the currently available loading information.

[0033] Specifically, the container information (such as size, type, quantity, and status) and truck information (such as load, size, type, quantity, and status) available at the current import and export ports are collected. Based on this information and combined with the loading requirements of the goods, the currently available loading combinations are determined to obtain the currently available loading information.

[0034] S3: In the preset cargo loading planning model, cargo simulation planning placement and stacking and planning cost optimization calculation are performed based on the parameter information of the goods to be tested, the overall loading value information and the currently available loading information to obtain the corresponding packing planning results and loading planning costs of the goods to be packed.

[0035] Specifically, using the preset cargo loading planning model (such as three-dimensional packing algorithm, cost optimization algorithm, etc.), the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information are used as input to simulate the stacking of cargo in containers and trucks, and calculate the planning cost (such as transportation cost, loading time, etc.). Through the iterative optimization algorithm, the optimal packing planning result and loading planning cost are found.

[0036] S4: Generate loading instructions according to the packing planning results of the goods to be packed, the loading planning cost and the overall loading value information.

[0037] In this embodiment, according to the optimal packing planning result, loading planning cost and overall loading numerical information obtained in step 4, detailed loading instructions are generated and sent to the corresponding worker user terminal. The loading instructions include the packing order, placement, stacking method, allocation of containers and trucks, etc. of the goods.

[0038] Specifically, according to the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information, the cargo simulation planning, placement, stacking and placement space calculation are performed to obtain the simulated planning packing planning results and packing planning costs, so as to obtain the packing planning results suitable for the current loading capacity and the demand for loading. The corresponding packing planning cost is the loading planning value obtained after low-cost optimization calculation. The method of obtaining the loading planning results through intelligent advance planning can immediately load the commodities and goods when they arrive at the import and export ports, which greatly reduces the time required for the loading of commodities and the commodity inspection and transportation process, and greatly reduces the cost of this link, effectively reducing the economic cost of the cargo loading link, which is conducive to improving the loading efficiency of commodities and goods.

[0039] S5: During the loading process, real-time loading status information is obtained; the real-time loading status information is compared with a preset loading standard to obtain a loading difference value; and the loading difference value is compared with a preset difference threshold value.

[0040] Specifically, the loading status information of the goods is obtained in real time through sensors, cameras or manual recording at the loading site, including the actual loading volume, stacking status, interval, position, etc. of the goods. The real-time loading status information is compared with the preset loading standards (such as loading volume standards, stacking stability standards, cargo interval standards, etc.) to calculate the loading difference value; and the obtained loading difference value is compared with the preset difference threshold to determine whether the loading difference exceeds the allowable range, so as to effectively ensure that the final loading adjustment result meets the preset loading standard.

[0041] S6: If the loading difference value is outside the preset difference threshold range, a loading adjustment instruction is triggered, and the packing planning result is adjusted according to the loading adjustment instruction.

[0042] Specifically, if the loading difference value exceeds the preset difference threshold range, a loading adjustment instruction is triggered. According to the loading adjustment instruction, combined with the real-time loading status information and the overall loading value information, the packing planning results are adjusted, such as adjusting the placement of the goods, the stacking method, the spacing of the goods or the loading order, etc., to optimize the loading efficiency and safety.

[0043] In one embodiment, in step S1, information on commodities arriving at the import and export ports is collected, and parameter information of commodities to be tested and overall loading value information that need to be tested are determined, including: S11: Collect commodity information arriving at the import and export ports through the port management system or logistics information system. The commodity information includes the type, weight, shape, material, fragility and shelf life of the commodity; the commodity information is associated with the commodity identification.

[0044] In this embodiment, the data interface of the port management system or the logistics information system is used to obtain the commodity cargo information arriving at the import and export port in real time or regularly. This information usually includes the type of commodity (such as electronic products, food, chemical products, etc.), weight (single commodity weight and total weight), shape (such as rectangular parallelepiped, cylinder, irregular body, etc.), material (such as metal, plastic, glass, etc.), fragility (whether special protection is required), shelf life (especially important for food or medicine), etc. The commodity cargo information is obtained from the system through API interface call, database query or file transfer, and stored in the local database or temporary storage medium of the cargo loading planning platform, wherein key information (such as fragility and shelf life) is specially marked or processed.

[0045] S12: obtaining cargo inspection requirement information based on the cargo identification, and extracting at least one information from the cargo information as the cargo parameter information to be tested based on the cargo inspection requirement information.

[0046] In this embodiment, a unique commodity identification is associated with the commodity information. The commodity identification is a unique product information code. Based on the commodity identification, it is possible to obtain whether the commodity needs to be inspected and associate it with the information requirement information to be inspected of the commodity. Based on the commodity inspection requirement information, at least one or all of the lake area information can be extracted from the commodity information as parameter information of the commodity to be tested.

[0047] Specifically, each commodity has a unique identifier (such as a barcode, RFID tag, etc.). By scanning or reading these identifiers, the inspection requirement information related to the commodity can be obtained. In actual applications, barcode scanners, RFID readers and writers and other devices can be used to read the commodity identifiers, and the system can be used to query the commodity inspection requirement information associated with the identifier.

[0048] S13: According to the commodity cargo information, determine the spatial dimensions of the cargo box, cargo loading sequence, stacking stability requirements, cargo box pressure range and cargo spacing requirements as overall loading numerical information.

[0049] In this embodiment, based on the relevant parameters in the commodity cargo information, the overall loading numerical information such as the spatial dimensions of the cargo box (such as a container, a truck, etc.), the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements are determined.

[0050] Specifically, based on the commodity and cargo identification, the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements are determined as the overall loading value information. The overall loading value information is the loading information when the commodity and cargo meet the loading standards and are placed and stacked or in a placed and stacked state. By obtaining the commodity information to be tested and the overall loading value information in advance, the subsequent advance planning of the cargo loading can be facilitated to obtain the corresponding packing planning results, so as to improve the applicability of the cargo loading planning method and meet the actual loading volume requirements.

[0051] In one embodiment, in step S3, in a preset cargo loading planning model, cargo simulation planning placement and stacking and planning cost optimization calculation are performed based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information, and the corresponding packing planning results and loading planning costs of the cargo to be packed are obtained, including: S31: The preset cargo loading planning model includes at least one of a packing algorithm based on cargo characteristics, a space optimization algorithm based on container size and truck size, and a cost optimization algorithm based on loading cost. The preset cargo loading planning model can automatically adjust the placement, stacking method and cargo spacing of cargo in containers and trucks.

[0052] In this embodiment, the preset cargo loading planning model is a complex system that integrates multiple algorithms to simulate and guide the cargo loading process, including but not limited to a packing algorithm based on cargo characteristics, a space optimization algorithm based on container and truck dimensions, and a cost optimization algorithm based on loading costs. These algorithms can automatically adjust the placement, stacking, and spacing of cargo in containers and trucks to maximize loading efficiency and safety.

[0053] Specifically, in the model design process, we first need to conduct an in-depth study of the characteristics of various goods, including their size, weight, shape, material, fragility, etc. Then, we design the corresponding packing algorithm based on these characteristics to ensure that the goods can be placed stably and safely during the packing process. At the same time, considering the size limitations of containers and trucks, we design a space optimization algorithm to maximize the utilization of loading space. Finally, we design a cost optimization algorithm based on various cost factors in the loading process (such as transportation cost, labor cost, time cost, etc.) to find a solution with lower loading cost.

[0054] S32: In a preset cargo loading planning model, the loading parameters are calculated based on the parameter information of the commodity to be tested, the commodity cargo identification and the overall loading numerical information; wherein the loading parameters include the loading area division, the cargo arrangement method in each loading area, the spacing between the cargoes and the stacking order.

[0055] Specifically, the loading space is divided into several loading areas according to the size of the container and the truck; then, a suitable cargo arrangement method is selected for each loading area according to the parameter information of the goods to be tested; during the arrangement process, factors such as the size, shape and fragility of the cargo need to be considered to ensure that the cargo can be placed stably and safely; at the same time, the spacing between the cargoes and the stacking order are determined according to the stacking stability requirements and cargo spacing requirements in the overall loading numerical information.

[0056] S33: In a preset cargo loading planning model, cargo simulation planning, placement and stacking are performed based on loading parameters and currently available loading information to obtain a number of initial packing planning results of the corresponding cargo to be packed; planning costs are calculated based on the several initial packing planning results of the cargo to be packed to obtain a number of corresponding initial loading planning costs.

[0057] In this embodiment, in the preset cargo loading planning model, cargo simulation planning placement and stacking is performed based on loading parameters and currently available loading information (such as the number of containers, the number of trucks, loading capacity, etc.). By simulating different placement and stacking methods, several initial packing planning results are obtained; for each initial packing planning result, planning cost calculation is performed respectively. Planning costs include transportation costs, labor costs, time costs, etc.; by comprehensively considering various cost factors, several corresponding initial loading planning costs are obtained.

[0058] S34: Under preset constraints, cost optimization calculation is performed based on a number of initial packing planning results and a number of initial loading planning costs to obtain corresponding packing planning results and loading planning costs of the goods to be packed.

[0059] In this embodiment, the preset constraints include loading stability, cargo safety, transportation time, etc.; cost optimization calculation is performed based on several initial packing planning results and several initial loading planning costs, and the lowest cost solution is selected as the final packing planning result and loading planning cost by comparing the costs of different solutions. In the optimization process, a variety of optimization algorithms can be used, such as genetic algorithms, particle swarm algorithms, etc. These algorithms can quickly find the global optimal solution or approximate optimal solution in the search space, thereby ensuring the efficiency and accuracy of loading planning.

[0060] In one embodiment, the preset constraint condition includes maximizing the space utilization rate; the preset constraint condition satisfies the optimization calculation of the space utilization rate using formula (1) and formula (2): P i =K i W i (H / h-1)(2) The origin is the lower left rear point of the truck compartment or the lower left side point of the container, U is the space utilization rate, i is the cargo identifier, and v is the i is the volume of cargo i, j is the identifier of different trucks or containers, V j is the volume of compartment j, P i is the compressive strength of the cargo box of cargo i; K i is the stacking safety factor of cargo i, W i is the total weight of cargo i after being loaded into the cargo box, H is the stacking height, h is the height of a single cargo box, and H / h represents the number of stacking layers.

[0061] In this embodiment, the compressive strength and space utilization of the corresponding cargo box are maximized based on different types of actual commodity cargo identifications i, so as to solve the constraint conditions of space utilization based on the actual pressure bearing capacity of the cargo box and improve the efficiency of cargo loading planning.

[0062] In one embodiment, in step S5, real-time loading status information is obtained; the real-time loading status information is compared with a preset loading standard to obtain a loading difference value, including: S51: During the loading process, detection and analysis are performed through sensor equipment or manual user terminals to obtain real-time loading status information; the real-time loading status information includes the actual loading volume of the goods, the actual stacking status, the actual cargo spacing and the regional location.

[0063] In this embodiment, during the loading process, real-time loading status information is obtained and compared with the corresponding preset loading standard, so as to track and verify the feasibility and implementation status of the packing planning results.

[0064] Specifically, it is achieved through sensor equipment installed at the loading site, such as weight sensors, position sensors, visual recognition systems, etc. These sensor devices can monitor key information such as the actual loading volume, actual stacking status, actual cargo spacing, and regional location of the goods in real time.

[0065] S52: The real-time loading status information is compared one by one with the loading volume standard, stacking stability standard, cargo spacing standard and cargo position accuracy standard in the preset loading standards to obtain a real-time comparison result.

[0066] In this embodiment, the preset loading standards generally include a loading volume standard, a stacking stability standard, a cargo spacing standard, a cargo position accuracy standard, and the like.

[0067] Specifically, during the comparison process, it is necessary to compare each indicator in the real-time loading status information with the corresponding indicator in the loading standard one by one. For example, the actual loading volume is compared with the loading volume standard to determine whether there is too much or too little loading; the actual stacking state is compared with the stacking stability standard to determine whether the stacking is stable and whether there is a risk of tilting or collapse; the actual cargo spacing is compared with the cargo spacing standard to determine whether the spacing is appropriate and whether there is a situation where the cargo squeezes or collides with each other; the actual cargo position is compared with the cargo position accuracy standard to determine whether the cargo is placed in the correct area or position.

[0068] S53: Calculate the loading difference value according to the real-time comparison result, where the loading difference value includes loading amount difference, stacking stability difference, interval difference and position difference.

[0069] Specifically, the comparison and calculation method of the loading difference value includes the loading volume difference: by comparing the actual loading volume with the loading volume standard, the loading volume difference value is calculated; the difference value can be expressed in percentage or specific quantity, for example, the actual loading volume is XX% more or less than the standard loading volume; stacking stability difference: judging whether the stacking stability meets the standard according to the comparison result, if not, the stacking stability difference value is calculated; the difference value can be expressed in stability index or risk level, for example, the stability index is lower than XX% or the risk level is XX level; interval difference: by comparing the actual cargo interval with the cargo interval standard, the interval difference value is calculated; the difference value can be expressed in interval size or percentage, for example, the actual interval is XXcm or XX% larger or smaller than the standard interval; position difference: judging whether the cargo position is accurate according to the comparison result, if not, the position difference value is calculated. The difference value can be expressed in position offset or deviation.

[0070] In one embodiment, in step S6, if the loading difference value is outside the preset difference threshold range, a loading adjustment instruction is triggered, and the packing planning result is adjusted according to the loading adjustment instruction, including: S61: When any one or more of the loading difference values ​​exceeds a preset difference threshold, a loading adjustment instruction is triggered.

[0071] S62: According to the loading adjustment instruction, combined with the real-time loading status information and the overall loading value information, the packing planning result is adjusted, including adjusting the placement position, stacking method, cargo spacing or loading sequence of the cargo.

[0072] Specifically, based on the comparison result between the loading difference value and the preset difference threshold, it is determined whether to adjust the packing planning result so that the packing planning result is more in line with the actual loading situation and loading standard requirements, so as to trigger the loading adjustment instruction in time when the packing planning result is abnormal (that is, when any one or more of the loading difference values ​​exceeds the preset difference threshold), so as to improve the feasibility and applicability of the packing planning result.

[0073] In one embodiment, in step S6, the packing planning result is adjusted according to the loading adjustment instruction, specifically including: S601: Acquire partition adjustment parameter information according to the loading adjustment instruction, wherein the partition adjustment parameter information includes the re-positioning position of partition cargo, the stacking method of partition cargo, or the loading order of partition cargo.

[0074] In this embodiment, for the scenario where multiple types of goods are loaded in one container, different types of goods can be stacked in different areas; based on the actual cargo classification and cargo isolation requirements and on the basis of fully utilizing the internal space of the container, this application can trigger multiple adjustment instructions so that the partition adjustment parameter information of each sub-area corresponding to the multiple types of goods meets the preset loading standards.

[0075] Specifically, the new position where the goods in one or some partitions need to be moved is clearly specified by rearranging the goods in the partitions; the stacking method of the goods in one or some partitions is specified by the stacking method of the goods in the partitions, such as stacking, staggered stacking, etc.; the previously planned loading order of the goods is changed by the loading order of the partitions to adapt to new loading requirements or optimize loading efficiency.

[0076] S602: Compare the partition cargo repositioning position, partition cargo stacking method or partition cargo loading order with the preset loading standard. If the partition adjustment parameter information does not meet the preset loading standard, trigger a secondary adjustment instruction.

[0077] Specifically, after obtaining the partition adjustment parameter information, this information is compared with the preset loading standards, which usually include stability requirements, safety requirements, loading efficiency requirements, etc. of the goods; by comparing whether each item in the partition adjustment parameter information is consistent with these standards; if any item in the partition adjustment parameter information does not meet the preset loading standards, a secondary adjustment instruction will be triggered, and the secondary adjustment instruction instructs the system to recalculate and adjust the partition adjustment parameter information that does not meet the standards.

[0078] S603: Recalculate the rearrangement position, stacking method or loading order of the partitioned goods according to the secondary adjustment instruction until the partition adjustment parameter information meets the preset loading standard, and generate the final loading adjustment instruction.

[0079] S604: Adjust the packing planning result according to the final loading adjustment instruction.

[0080] Specifically, after generating the final loading adjustment instruction, the system will adjust the original packing planning results according to this instruction. This adjustment process may include moving the location of the goods, changing the stacking method of the goods, or adjusting the loading order of the goods. The system will ensure that the adjusted packing planning results meet all loading requirements and constraints, and can achieve optimal loading efficiency and safety.

[0081] During the adjustment process, the system may use some auxiliary tools or equipment, such as handling robots, forklifts, etc. These tools or equipment will perform precise cargo handling and placement operations according to the system's instructions to ensure the smooth progress of the loading process.

[0082] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0083] In one embodiment, a cargo loading planning system is provided, and the cargo loading planning system corresponds to a cargo loading planning method in the above embodiment.

[0084] A cargo loading planning system includes a module for collecting information of goods to be tested, a module for determining available loading information, a module for placing, stacking and cost planning, a module for generating loading instructions, a module for comparing loading differences and a module for adjusting planning results. The detailed description of each functional module is as follows: The commodity information collection module is used to collect commodity information arriving at the import and export ports, determine the commodity parameter information and overall loading value information of the commodity to be tested that need to be tested, and the overall loading value information includes the cargo box space size and cargo loading requirements; The available loading information determination module is used to collect the container information and available truck information of the corresponding import and export ports and determine the current available loading information; The placement, stacking and cost planning module is used to perform cargo simulation planning, placement, stacking and planning cost optimization calculation based on the parameter information of the goods to be tested, the overall loading value information and the currently available loading information in the preset cargo loading planning model, and obtain the corresponding packing planning results and loading planning costs of the goods to be packed; A loading instruction generation module is used to generate loading instructions according to the packing planning results of the goods to be packed, the loading planning cost and the overall loading value information; The loading difference comparison module is used to obtain real-time loading status information during the loading process; compare the real-time loading status information with the preset loading standard to obtain the loading difference value; compare the loading difference value with the preset difference threshold; the planning result adjustment module is used to trigger the loading adjustment instruction if the loading difference value is outside the preset difference threshold range, and adjust the packing planning result according to the loading adjustment instruction.

[0085] Optionally, the commodity information collection module to be tested includes: The port cargo information collection submodule is used to collect the commodity cargo information arriving at the import and export ports through the port management system or logistics information system. The commodity cargo information includes the type, weight, shape, material, fragility, and shelf life of the commodity; the commodity cargo information is associated with the commodity cargo identification; The commodity information determination submodule to be tested is used to obtain commodity testing requirement information based on the commodity identification, and extract at least one information from the commodity information as the commodity parameter information to be tested based on the commodity testing requirement information; The overall loading information determination submodule is used to determine the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements as the overall loading numerical information based on the commodity cargo information.

[0086] For the specific limitations of the cargo loading planning system, please refer to the limitations of the cargo loading planning method in the above text, which will not be repeated here; each module in the above-mentioned cargo loading planning system can be implemented in whole or in part through software, hardware and their combination; each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0087] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0088] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A cargo loading planning method, It is characterized in that include: Collect information on commodities arriving at import and export ports, determine parameter information of commodities to be tested and overall loading value information that need to be tested, the overall loading value information including the space dimensions of the cargo box and cargo loading requirements; Collect container information and available truck information of corresponding import and export ports to determine currently available loading information; In the preset cargo loading planning model, cargo simulation planning placement and stacking and planning cost optimization calculation are performed based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information to obtain the corresponding packing planning results and loading planning costs of the cargo to be packed; Generate loading instructions according to the packing planning results, loading planning costs and overall loading numerical information of the goods to be packed; obtain real-time loading status information during the loading process; compare the real-time loading status information with the preset loading standard to obtain a loading difference value; compare the loading difference value with a preset difference threshold value; If the loading difference value is outside the preset difference threshold range, a loading adjustment instruction is triggered, and the packing planning result is adjusted according to the loading adjustment instruction.

2. A cargo loading planning method according to claim 1, It is characterized in that The collecting of commodity cargo information arriving at the import and export ports and determining the parameter information of the commodity to be tested and the overall loading value information that need to be tested include: collecting the commodity cargo information arriving at the import and export ports through the port management system or the logistics information system, the commodity cargo information including the type, weight, shape, material, fragility, and shelf life of the commodity; and associating the commodity cargo information with the commodity cargo identification; Acquire goods inspection requirement information based on the goods identification, and extract at least one information from the goods information as the parameter information of the goods to be tested based on the goods inspection requirement information; According to the commodity cargo information, the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements are determined as the overall loading numerical information.

3. A cargo loading planning method according to claim 1, It is characterized in that In the preset cargo loading planning model, cargo simulation planning placement and stacking and planning cost optimization calculation are performed based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information to obtain the corresponding packing planning results and loading planning costs of the cargo to be packed, including: The preset cargo loading planning model includes at least one of a packing algorithm based on cargo characteristics, a space optimization algorithm based on container size and truck size, and a cost optimization algorithm based on loading cost. The preset cargo loading planning model can automatically adjust the placement, stacking method and cargo spacing of cargo in containers and trucks; In the preset cargo loading planning model, the loading parameters are calculated based on the parameter information of the commodity to be tested, the commodity cargo identification and the overall loading value information; wherein the loading parameters include the loading area division, the cargo arrangement mode of each loading area, the spacing between the cargoes and the stacking order; In the preset cargo loading planning model, cargo simulation planning placement and stacking are performed based on the loading parameters and currently available loading information to obtain a number of initial packing planning results of the corresponding cargo to be packed; planning costs are calculated based on the several initial packing planning results of the cargo to be packed to obtain a number of corresponding initial loading planning costs; Under the preset constraint conditions, cost optimization calculation is performed based on the several initial packing planning results and the several initial loading planning costs to obtain the corresponding packing planning results and loading planning costs of the goods to be packed.

4. A cargo loading planning method according to claim 3, It is characterized in that The preset constraint condition includes maximizing the space utilization rate; the preset constraint condition satisfies the optimization calculation of the space utilization rate using formula (1) and formula (2): P i =K i W i (H / h-1) (2) The origin is the lower left rear point of the truck compartment or the lower left side point of the container, U is the space utilization rate, i is the cargo identifier, and v is the i is the volume of cargo i, j is the identifier of different trucks or containers, V j is the volume of compartment j, P i is the compressive strength of the cargo box of cargo i; K i is the stacking safety factor of cargo i, W i is the total weight of cargo i after being loaded into the cargo box, H is the stacking height, h is the height of a single cargo box, and H / h represents the number of stacking layers.

5. A cargo loading planning method according to claim 1, It is characterized in that During the loading process, real-time loading status information is acquired; and the real-time loading status information is compared with a preset loading standard to obtain a loading difference value, including: During the loading process, the sensor equipment or the manual user terminal is used to detect and analyze to obtain real-time loading status information; the real-time loading status information includes the actual loading amount of the goods, the actual stacking status, the actual cargo spacing and the regional location; Compare the real-time loading status information with the loading volume standard, stacking stability standard, cargo spacing standard and cargo position accuracy standard in the preset loading standards one by one to obtain a real-time comparison result; According to the real-time comparison result, a loading difference value is calculated, and the loading difference value includes loading amount difference, stacking stability difference, interval difference and position difference.

6. A cargo loading planning method according to claim 5, It is characterized in that If the loading difference value is outside the preset difference threshold range, triggering a loading adjustment instruction, and adjusting the packing planning result according to the loading adjustment instruction, including: When any one or more of the load difference values ​​exceeds a preset difference threshold, a load adjustment instruction is triggered; According to the loading adjustment instruction, combined with the real-time loading status information and the overall loading value information, the packing planning result is adjusted, including adjusting the placement position, stacking method, cargo spacing or loading sequence of the goods.

7. A cargo loading planning method according to claim 1, It is characterized in that The adjusting the packing planning result according to the loading adjustment instruction specifically includes: According to the loading adjustment instruction, the partition adjustment parameter information is obtained, wherein the partition adjustment parameter information includes the re-placement position of the partitioned goods, the stacking method of the partitioned goods, or the loading order of the partitioned goods; Compare the repositioning position, stacking method or loading order of the partitioned goods with the preset loading standard, and if the partition adjustment parameter information does not meet the preset loading standard, trigger a secondary adjustment instruction; According to the secondary adjustment instruction, recalculate the rearrangement position, stacking method or loading order of the partitioned goods until the partition adjustment parameter information meets the preset loading standard, and generate the final loading adjustment instruction; The packing planning result is adjusted according to the final loading adjustment instruction.

8. A cargo loading planning system, It is characterized in that The system comprises: The commodity information collection module is used to collect commodity information arriving at the import and export ports, determine the commodity parameter information and overall loading value information of the commodity to be tested that need to be tested, and the overall loading value information includes the cargo box space size and cargo loading requirements; The available loading information determination module is used to collect the container information and available truck information of the corresponding import and export ports and determine the current available loading information; The stacking and cost planning module is used to perform cargo simulation planning, stacking and planning cost optimization calculation based on the parameter information of the commodity to be tested, the overall loading value information and the currently available loading information in a preset cargo loading planning model, and obtain the corresponding packing planning results and loading planning costs of the cargo to be packed; A loading instruction generating module, used for generating a loading instruction according to the packing planning result of the goods to be packed, the loading planning cost and the overall loading value information; The loading difference comparison module is used to obtain real-time loading status information during the loading process; compare the real-time loading status information with the preset loading standard to obtain a loading difference value; and compare the loading difference value with a preset difference threshold value; The planning result adjustment module is used to trigger a loading adjustment instruction if the loading difference value is outside a preset difference threshold range, and adjust the packing planning result according to the loading adjustment instruction.

9. A cargo loading planning system according to claim 8, It is characterized in that The commodity information collection module to be tested includes: The port cargo information collection submodule is used to collect the commodity cargo information arriving at the import and export ports through the port management system or the logistics information system. The commodity cargo information includes the type, weight, shape, material, fragility and shelf life of the commodity; The commodity information is associated with the commodity identification; A commodity information determination submodule for testing, configured to obtain commodity testing requirement information based on the commodity identification, and extract at least one information from the commodity information as the commodity parameter information based on the commodity testing requirement information; The overall loading information determination submodule is used to determine the spatial dimensions of the cargo box, the cargo loading sequence, the stacking stability requirements, the cargo box pressure resistance range and the cargo spacing requirements as the overall loading numerical information according to the commodity cargo information.

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