Engineering machinery storage area intelligent distribution method and device and storage medium
By using automated material attribute information processing and storage area planning methods, the problem of inconsistent updates in existing warehouse management systems has been solved, enabling intelligent allocation and real-time synchronization of engineering machinery storage areas, and adapting to the needs of multi-variety, small-batch, and high-frequency turnover.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZOOMLION HEAVY INDUSTRY SCIENCE AND TECHNOLOGY CO LTD
- Filing Date
- 2025-12-31
- Publication Date
- 2026-05-08
AI Technical Summary
Existing methods for managing the storage of construction machinery rely on periodic inventory checks and static storage area planning, which leads to inconsistencies between product data, inventory status, and logistics information updates, making it difficult to adapt to the storage management needs of multi-variety, small-batch, and high-frequency turnover.
By responding to material change events, the system automatically acquires material attribute information, determines the target storage area based on allocation rules and storage area capacity constraints, and verifies and synchronizes the planned storage area information of the downstream logistics execution system with the updated information of the warehouse management system to ensure consistency.
It enables dynamic adjustment of storage area planning to actual needs, ensures real-time synchronization of product data and logistics data, reduces the arbitrariness of storage area planning, and improves the efficiency and accuracy of warehouse management.
Smart Images
Figure CN121998547A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of engineering machinery storage management technology, specifically to an intelligent allocation method, device and storage medium for engineering machinery storage areas. Background Technology
[0002] In the field of construction machinery warehousing management technology, existing methods mostly rely on periodic inventory counts and static storage area planning schemes. Product data, inventory status and logistics information are usually stored in independent systems, and updates lack synchronization. There are often delays and deviations between the actual material location and the system records, which leads to a disconnect between storage area planning and actual needs, making it difficult to adapt to the warehousing management needs of modern construction machinery industry with multiple varieties, small batches and high frequency of turnover. Summary of the Invention
[0003] The purpose of this application is to provide a method, device, and storage medium for intelligent allocation of engineering machinery storage areas.
[0004] To achieve the above objectives, the first aspect of this application provides a method for intelligent allocation of engineering machinery storage areas, comprising: In response to material change events in the product data source system, obtain the attribute information of the changed material; Based on the preset allocation rules and storage area capacity constraints, the target storage area for the changed material is determined according to the attribute information, and the storage area information of the target storage area is updated to the warehouse management system. Using the updated storage area information in the warehouse management system as a consistency benchmark, the planned storage area information in the downstream logistics execution system is automatically verified. If a discrepancy is detected between the planned storage area information in the logistics execution system and the latest storage area information in the warehouse management system, a synchronization operation is triggered to ensure that the planned storage area information in the logistics execution system is consistent with that in the warehouse management system.
[0005] In this embodiment, the attribute information includes at least the material name and product series value, where the product series value refers to the tonnage of the product to which the material belongs. Determining the target storage area for the changed material based on the attribute information, according to preset allocation rules and storage area capacity constraints, includes: searching the storage area information in the warehouse management system to determine if there exists a storage area whose material name and product series value match the attribute information of the changed material. The storage area information includes the material name and product series corresponding to each storage area. If a storage area exists that matches the attribute information of the changed material, the storage area is determined as the target storage area for the changed material. If no storage area exists that matches the attribute information of the changed material, the product series value corresponding to each storage area in the storage area information is compared with the product series value of the changed material. The target storage area for the changed material is determined based on the comparison result.
[0006] In this embodiment of the application, determining the target storage area for the changed material based on the comparison results includes: selecting storage areas whose product series value in the storage area information is greater than the product series value of the changed material as the target storage area.
[0007] In this embodiment of the application, the attribute information also includes material size and material weight, and the storage area information also includes the load-bearing capacity and inner dimensions of each storage area. Determining the target storage area for the changed material based on the comparison results also includes: if there is no storage area in the storage area information with a product series value greater than the product series value of the changed material, performing a hard constraint processing check based on the material size and material weight of the changed material, as well as the load-bearing capacity and inner dimensions of the storage area; and selecting the storage area that meets the hard constraint processing check rules as the target storage area.
[0008] In this embodiment of the application, the method further includes: after selecting a storage area that meets the hard constraint processing check conditions as the target storage area, recording the material properties of the changed material and the target storage area in the storage area information.
[0009] In this embodiment of the application, the attribute information also includes material codes. Using the updated storage area information in the warehouse management system as a consistency benchmark, the automatic verification of the planned storage area information in the downstream logistics execution system includes: verifying whether the material codes of the changed materials are consistent with the storage area information under different inventory locations in the same workshop in the warehouse management system; verifying whether the material codes of the inventory materials in the warehouse management system are consistent with the storage area information; and verifying whether the planned storage area information in the logistics execution system is consistent with the storage area information.
[0010] In this embodiment, before obtaining the attribute information of the changed material in response to a material change event in the product data source system, the method further includes: obtaining the material weight, material size, and corresponding product series values of all materials from the product lifecycle management system; obtaining the material name and material code corresponding to each material from the warehouse management system; and obtaining the storage capacity of each storage area from the automated warehouse system, where the storage capacity includes the load-bearing capacity and internal dimensions of the corresponding storage area; generating a storage area maintenance form using the material name and corresponding material weight as identifiers, where the storage area maintenance form includes the material name, material weight, material size, material code, and corresponding product series values of each material; performing storage area planning based on the storage area maintenance form and the storage capacity of each storage area to obtain preliminary storage area planning results; performing hard constraint processing checks based on the preliminary storage area planning results and storage capacity, and generating a storage area correction task; and correcting the preliminary storage area planning results based on the storage area correction task to obtain storage area information.
[0011] In this embodiment of the application, the rules for hard constraint processing checks include: the material weight is less than or equal to a first preset ratio of the storage area's load-bearing capacity; and the material size is less than or equal to the difference between the storage area's inner dimensions and a preset safety gap.
[0012] In this embodiment of the application, the method further includes, after determining the target storage area for the changed material, pushing and updating the target storage area to the product lifecycle management system and the enterprise resource planning system.
[0013] A second aspect of this application provides an intelligent allocation device for engineering machinery storage areas, comprising: The memory is configured to store instructions; The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the aforementioned intelligent allocation method for engineering machinery storage areas.
[0014] A third aspect of this application provides a machine-readable storage medium storing instructions that, when executed by a processor, configure the processor to perform the above-described intelligent allocation method for engineering machinery storage areas.
[0015] Through the above technical solution, when materials change in the product data source system, the system automatically acquires the attribute information of the changed materials. Based on the attribute information, threshold allocation rules, and storage area capacity constraints, the target storage area for the changed materials is determined and updated to the warehouse management system. This enables dynamic adjustment of storage area planning as materials change, avoiding a disconnect between storage area planning and actual needs. Using the updated storage area information in the warehouse management system as a consistency benchmark, the system automatically verifies the planned storage area information in the downstream logistics execution system. If an inconsistency is detected between the planned storage area information in the logistics execution system and the latest storage area information in the warehouse management system, a synchronization operation is triggered to ensure consistency between the planned storage area information in the logistics execution system and the warehouse management system. This achieves real-time synchronization of product data and logistics data, ensuring the uniqueness and accuracy of the storage area information source.
[0016] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description
[0017] The accompanying drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the following detailed description to explain the embodiments of this application, but do not constitute a limitation on the embodiments of this application. In the drawings: Figure 1 The schematic diagram illustrates a process flow diagram of an intelligent allocation method for engineering machinery storage areas according to an embodiment of this application; Figure 2 The diagram illustrates the internal structure of a computer device according to an embodiment of this application. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.
[0019] Figure 1 A schematic flowchart illustrating the intelligent allocation method for engineering machinery storage areas according to an embodiment of this application is shown. Figure 1 As shown in one embodiment of this application, a method for intelligent allocation of engineering machinery storage areas is provided, including the following steps: Step 101: In response to the material change event in the product data source system, obtain the attribute information of the changed material.
[0020] Step 102: Based on the preset allocation rules and storage area capacity constraints, determine the target storage area for the changed material according to the attribute information, and update the storage area information of the target storage area to the warehouse management system.
[0021] Step 103: Using the updated storage area information in the warehouse management system as a consistency benchmark, automatically verify the planned storage area information in the downstream logistics execution system.
[0022] Step 104: If the planned storage area information in the logistics execution system is found to be inconsistent with the latest storage area information in the warehouse management system, a synchronization operation is triggered to ensure that the planned storage area information in the logistics execution system is consistent with the warehouse management system.
[0023] The product data source system refers to the system that creates, maintains, and provides product data to downstream systems. In one embodiment, the product data source system may be a product lifecycle management system (PLM). The processor can respond to material change events in the product data source system and automatically obtain the attribute information of the changed material. This attribute information includes at least the material name, material code, corresponding product series, material weight, and material size. For example, in one embodiment, the processor can push newly added or changed material codes, material names, vehicle series (i.e., product series), material sizes, and storage locations to the WMS system via the PLM-ERP-WMS interface (product lifecycle management system-enterprise resource planning system-warehouse management system interface), and unify the data in the attribute information to international units and structured size parameters. Then, the processor can determine the target storage area for the changed material based on the attribute information of the changed material, according to threshold allocation rules and storage area capacity constraints, and update the storage area information of the target storage area to the warehouse management system (WMS). Furthermore, the processor can automatically verify the planned storage area information in the downstream logistics execution system using the updated storage area information in the WMS as a consistency benchmark. If a discrepancy is detected between the planned storage area information in the logistics execution system and the latest storage area information in the warehouse management system, a synchronization operation is triggered to ensure that the planned storage area information in the logistics execution system is consistent with that in the warehouse management system.
[0024] In one embodiment, before obtaining the attribute information of the changed material in response to a material change event in the product data source system, the method further includes: obtaining the material weight, material size, and corresponding product series values of all materials from the product lifecycle management system; obtaining the material name and material code corresponding to each material from the warehouse management system; and obtaining the storage capacity of each storage area from the automated warehouse system. The storage capacity includes the load-bearing capacity and internal dimensions of the corresponding storage area. A storage area maintenance form is generated using the material name and corresponding material weight as identifiers. The storage area maintenance form includes the material name, material weight, material size, material code, and corresponding product series values for each material. Based on the storage area maintenance form and the storage capacity of each storage area, storage area planning is performed to obtain preliminary storage area planning results. Specifically, in one embodiment, the storage area maintenance form is pushed to the corresponding logistics planning engineer, and the preliminary storage area planning results planned by the logistics planning engineer are obtained. Hard constraint processing checks are performed based on the preliminary storage area planning results and storage capacity, and a storage area correction task is generated. The preliminary storage area planning results are corrected based on the storage area correction task to obtain storage area information. Specifically, the rules for hard constraint handling checks include: the material weight is less than or equal to a first preset proportion of the storage area's load-bearing capacity; the material size is less than or equal to the difference between the storage area's inner dimensions and the preset safety clearance. After performing hard constraint handling checks, the storage area correction task is pushed to the corresponding logistics planning engineer, and the corrected storage area information is obtained from the logistics planning engineer.
[0025] In one embodiment, the attribute information includes at least the material name and product series value, where the product series value refers to the tonnage of the product to which the material belongs. Determining the target storage area for the changed material based on the attribute information, according to preset allocation rules and storage area capacity constraints, includes: searching the storage area information in the warehouse management system to determine if there exists a storage area whose material name and product series value match the attribute information of the changed material, where the storage area information includes the material name and product series corresponding to each storage area; if a storage area exists whose material name and product series value match the attribute information of the changed material, that storage area is determined as the target storage area for the changed material; if no storage area exists whose material name and product series value match the attribute information of the changed material, the product series value corresponding to each storage area in the storage area information is compared with the product series value of the changed material; and the target storage area for the changed material is determined based on the comparison result.
[0026] Specifically, in one embodiment, the attribute information also includes material size and material weight, and the storage area information includes the load-bearing capacity and inner dimensions of each storage area. Determining the target storage area for the changed material based on the comparison results includes: selecting storage areas in the storage area information whose product series value is greater than that of the changed material as target storage areas. If no storage area in the storage area information has a product series value greater than that of the changed material, a hard constraint check is performed based on the material size and material weight of the changed material, as well as the load-bearing capacity and inner dimensions of the storage area; the storage area that meets the hard constraint check rules is selected as the target storage area, and the material attributes of the changed material and the target storage area are recorded in the storage area information. The hard constraint check rules include: the material weight is less than or equal to a first preset proportion of the storage area's load-bearing capacity; the material size is less than or equal to the difference between the inner dimensions of the storage area and a preset safety gap. In one embodiment, after selecting the storage area that meets the hard constraint check rules as the target storage area, the material attributes of the changed material and the target storage area can also be pushed to the corresponding logistics planning engineer for manual confirmation, and the manual confirmation results can be learned.
[0027] In one embodiment, the attribute information also includes material codes. Using the updated storage area information in the warehouse management system as a consistency benchmark, the automatic verification of the planned storage area information in the downstream logistics execution system includes: verifying whether the material codes and storage area information of changed materials are consistent with each other at different inventory locations in the same workshop within the warehouse management system; if inconsistent, pushing the corresponding material codes and storage area information to the relevant logistics planning engineer for manual confirmation; verifying whether the material codes and storage area information of inventory materials in the warehouse management system are consistent with each other; if inconsistent, pushing the corresponding material codes and storage area information to the relevant logistics planning engineer for manual confirmation and physical adjustments to ensure that the storage area information of inventory materials is consistent with the updated storage area information in the WMS system; and verifying whether the planned storage area information in the logistics execution system (LES) is consistent with the storage area information; if inconsistent, triggering a synchronization operation to ensure that the planned storage area information in the logistics execution system is consistent with the warehouse management system. Specifically, if the planned storage area information in the logistics execution system is found to be inconsistent with the latest storage area information in the warehouse management system, the corresponding planned storage area information is pushed to the corresponding logistics planning engineer for manual confirmation and adjustment of the logistics element planning table (PFEP) in the LES system. This ensures that the storage area information of the spot goods in the WMS system guides the automated warehousing process, and the sorting, collection, and distribution rules of the PFEP guide the automated outbound process without any abnormalities.
[0028] In one embodiment, the method further includes, after determining the target storage area for the changed material, pushing and updating the target storage area to the PLM system and the Enterprise Resource Planning (ERP) system, thereby ensuring that engineering changes in either system can trigger a reassessment of the storage area in real time.
[0029] Through the above embodiments, when materials change in the product data source system, the system automatically acquires the attribute information of the changed materials. Based on the attribute information, threshold allocation rules, and storage area capacity constraints, the target storage area for the changed materials is determined and updated to the warehouse management system. This enables dynamic adjustment of storage area planning as materials change, avoiding a disconnect between storage area planning and actual needs. Using the updated storage area information in the warehouse management system as a consistency benchmark, the system automatically verifies the planned storage area information in the downstream logistics execution system. If inconsistencies are detected between the planned storage area information in the logistics execution system and the latest storage area information in the warehouse management system, a synchronization operation is triggered to ensure consistency between the planned storage area information in the logistics execution system and the warehouse management system. This breaks down barriers between PLM, WMS, LES, and other systems, achieving real-time synchronization of product data and logistics data, ensuring a unique and accurate source of storage area information. Standard allocation rules are preset in the system, reducing the arbitrariness of storage area planning. Figure 1 This is a flowchart illustrating an intelligent allocation method for engineering machinery storage areas in one embodiment. It should be understood that, although... Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise explicitly stated herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0030] In one embodiment, an intelligent allocation device for engineering machinery storage areas (not shown in the figure) is provided, comprising: The memory is configured to store instructions; The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the aforementioned intelligent allocation method for engineering machinery storage areas.
[0031] The intelligent allocation device for the construction machinery storage area includes a processor and a memory. The processor contains a kernel, which retrieves the corresponding program units from the memory. One or more kernels can be configured, and the intelligent allocation method for the construction machinery storage area can be implemented by adjusting the kernel parameters.
[0032] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.
[0033] This application provides a storage medium storing a program that, when executed by a processor, implements the above-described intelligent allocation method for engineering machinery storage areas.
[0034] This application provides a processor for running a program, wherein the program executes the above-described intelligent allocation method for engineering machinery storage areas.
[0035] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 2 As shown, the computer device includes a processor A01, a network interface A02, and a memory (not shown) connected via a system bus. The processor A01 provides computing and control capabilities. The memory includes internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02, and a database (not shown). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 stored in the non-volatile storage medium A04. The network interface A02 is used for communication with external terminals via a network connection. When executed by the processor A01, the computer program B02 implements an intelligent allocation method for engineering machinery storage areas.
[0036] Those skilled in the art will understand that Figure 2 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0037] This application provides a computer (electronic) device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of any of the above-mentioned intelligent allocation methods for engineering machinery storage areas.
[0038] This application also provides a computer program product that, when executed on a data processing device, is suitable for executing the steps of an initialization method for intelligent allocation of engineering machinery storage areas.
[0039] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0040] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0041] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0042] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0043] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0044] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0045] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0046] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0047] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for intelligent allocation of storage areas for engineering machinery, characterized in that, The method includes: In response to material change events in the product data source system, obtain the attribute information of the changed material; Based on the preset allocation rules and storage area capacity constraints, the target storage area for the changed material is determined according to the attribute information, and the storage area information of the target storage area is updated to the warehouse management system. Using the updated storage area information in the warehouse management system as a consistency benchmark, the planned storage area information in the downstream logistics execution system is automatically verified. If the planned storage area information in the logistics execution system is found to be inconsistent with the latest storage area information in the warehouse management system, a synchronization operation is triggered to ensure that the planned storage area information in the logistics execution system is consistent with that in the warehouse management system.
2. The intelligent allocation method for engineering machinery storage areas according to claim 1, characterized in that, The attribute information includes at least the material name and product series value, wherein the product series value refers to the tonnage of the product to which the material belongs. Determining the target storage area for the changed material based on the attribute information, according to preset allocation rules and storage area capacity constraints, includes: The storage area information in the warehouse management system is retrieved to determine whether there is a storage area in the storage area information that matches the material name and product series value with the attribute information of the changed material. The storage area information includes the material name and product series corresponding to each storage area. If there is a storage area in the storage area information that matches both the material name and the product series value with the attribute information of the changed material, then the storage area is determined as the target storage area for the changed material. If there is no storage area in the storage area information that matches both the material name and the product series value with the attribute information of the changed material, then the product series value corresponding to each storage area in the storage area information is compared with the product series value of the changed material. The target storage area for the changed material is determined based on the comparison results.
3. The intelligent allocation method for engineering machinery storage areas according to claim 2, characterized in that, Determining the target storage area for the changed material based on the comparison results includes: The storage areas whose product series values are greater than the product series values of the changed material are selected as the target storage areas.
4. The intelligent allocation method for engineering machinery storage areas according to claim 2, characterized in that, The attribute information also includes material size and material weight, and the storage area information also includes the load-bearing capacity and internal dimensions of each storage area. Determining the target storage area for the changed material based on the comparison result further includes: If there is no storage area in the storage area information that has a product series value greater than the product series value of the changed material, a hard constraint check is performed based on the material size and weight of the changed material, as well as the load-bearing capacity and inner dimensions of the storage area. Select the storage area that meets the hard constraint processing check rules as the target storage area.
5. The intelligent allocation method for engineering machinery storage areas according to claim 4, characterized in that, After selecting the storage area that meets the hard constraint processing check conditions as the target storage area, the material properties of the changed material and the target storage area are recorded in the storage area information.
6. The intelligent allocation method for engineering machinery storage areas according to claim 1, characterized in that, The attribute information also includes material codes, and the automatic verification of the planned storage area information in the downstream logistics execution system, using the updated storage area information in the warehouse management system as a consistency benchmark, includes: Verify whether the material code of the changed material is consistent with the storage area information under different storage locations in the same workshop in the warehouse management system; Verify whether the material codes of the inventory materials in the warehouse management system are consistent with the storage area information; Verify whether the planned storage area information in the logistics execution system is consistent with the storage area information.
7. The intelligent allocation method for engineering machinery storage areas according to claim 1, characterized in that, Before obtaining the attribute information of the changed material in response to a material change event in the product data source system, the method further includes: The product lifecycle management system obtains the material weight, material size and corresponding product series values of all materials; the warehouse management system obtains the material name and material code corresponding to each material; and the automated warehouse system obtains the storage capacity of each storage area, including the load-bearing capacity and internal dimensions of the corresponding storage area. Using the material name and corresponding material weight as identifiers, a storage area maintenance form is generated. The storage area maintenance form includes the material name, material weight, material size, material code, and corresponding product series value for each material. Based on the list of storage areas to be maintained and the storage capacity of each storage area, storage area planning is carried out to obtain preliminary storage area planning results; Based on the preliminary reservoir planning results and the reservoir capacity, a hard constraint processing check is performed, and a reservoir correction task is generated. The preliminary reservoir planning results are revised based on the reservoir revision task to obtain the reservoir information.
8. The intelligent allocation method for engineering machinery storage areas according to claim 4 or 7, characterized in that, The rules for the hard constraint processing check include: The weight of the material is less than or equal to a first preset ratio of the load-bearing capacity of the storage area; The material size is less than or equal to the difference between the inner dimension of the storage area and the preset safety gap.
9. The intelligent allocation method for engineering machinery storage areas according to claim 1, characterized in that, The method further includes, after determining the target storage area for the changed material, pushing and updating the target storage area to the product lifecycle management system and the enterprise resource planning system.
10. An intelligent distribution device for engineering machinery storage areas, characterized in that, include: The memory is configured to store instructions; The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the intelligent allocation method for engineering machinery storage areas according to any one of claims 1 to 9.
11. A machine-readable storage medium storing instructions thereon, characterized in that, When executed by a processor, this instruction causes the processor to be configured to perform the intelligent allocation method for engineering machinery storage areas according to any one of claims 1 to 9.