Material storage space allocation method and device for stereoscopic warehouse

Abstract

The invention relates to the technical field of warehouse management, and discloses a material cargo position allocation method and device for a stereoscopic warehouse, the method comprising: determining the pending position parameter of each material according to the weight parameters of all materials to be allocated in the stereoscopic warehouse; determining the unit in-and-out time parameter corresponding to each material type according to the pending position parameters of all materials; determining the target in-and-out time parameters corresponding to all material types within a target period according to the unit in-and-out time parameters corresponding to all material types, and judging whether the target in-and-out time parameters meet the in-and-out requirements, and if so, determining the to-be-allocated position parameter of each material according to the pending position parameter of each material, so as to allocate cargo positions to all materials, thus, compared with the traditional material sequential allocation method, the rationality and accuracy of material allocation are improved, and the subsequent in-and-out execution efficiency of materials is optimized, thereby improving the efficiency of management and control of the stereoscopic warehouse.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and in particular to a material storage location allocation method and device for a stereoscopic warehouse. Background Art

[0002] In modern logistics systems, stereoscopic warehouses are key facilities for efficient storage and rapid sorting of materials. The allocation strategy of storage locations is directly related to the warehouse's operational efficiency and cost. Traditional stereoscopic warehouses mostly use sequential storage, that is, the storage locations are numbered in row and column order, and the storage locations are allocated in sequence or based on experience when materials are put into storage. Although this method is simple and easy to implement, it has exposed a series of problems in actual application.

[0003] Specifically, sequential storage ignores the differences in the frequency of materials entering and leaving the warehouse and the differences in the time required for stackers to access materials. In warehouse operations, the storage requirements and entry and exit frequencies of different materials are often very different. Some materials may need to be stored in the warehouse for a long time and rarely enter and exit the warehouse, while other materials may need to be frequently entered and exited to meet production or sales needs.

[0004] However, in the sequential storage mode, the storage locations of these materials are often randomly or in a fixed order, resulting in some materials being stored close to the warehouse entrance, but due to the low frequency of entry and exit, the stacker rarely needs to move to these locations; while other materials are allocated far away from the warehouse entrance despite the high frequency of entry and exit, thus increasing the moving distance of the stacker and the time cost of storing and retrieving goods. It can be seen that it is particularly important to provide a method that can improve the accuracy of material location allocation in a stereoscopic warehouse to improve the efficiency of material entry and exit. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a material storage location allocation method and device for a three-dimensional warehouse, which improves the rationality and accuracy of material allocation compared to the traditional material sequential allocation method, and further optimizes the subsequent execution efficiency of material entry and exit, thereby improving the efficiency of management and control of the three-dimensional warehouse.

[0006] In order to solve the above technical problems, the first aspect of the present invention discloses a material storage location allocation method for a stereoscopic warehouse, the method comprising:

[0007] Determine the weight parameter of each material to be distributed in the three-dimensional warehouse, and determine the pending position parameter of each material according to the weight parameters of all the materials;

[0008] According to the pending position parameters of all the materials, the unit storage time parameters corresponding to each material type are determined; all the materials include the materials included in all the material types;

[0009] According to the unit in-and-out time parameters corresponding to all the material types, determine the target in-and-out time parameters corresponding to all the material types within the target period, and judge whether the target in-and-out time parameters meet the preset in-and-out requirements;

[0010] When it is determined that the warehousing and warehousing requirements are met, the to-be-allocated position parameters of each material are determined according to the to-be-determined position parameters of each material, and the storage locations of all the materials are allocated according to the to-be-allocated position parameters of all the materials.

[0011] As an optional implementation, in the first aspect of the present invention, determining the undetermined position parameter of each of the materials according to the weight parameters of all the materials includes:

[0012] Obtaining the preset cargo location parameters of each of the materials, and calculating the target product parameters corresponding to all of the materials according to the preset cargo location parameters of all of the materials and the corresponding weight parameters; the preset cargo location parameters of each of the materials include the preset shelf layer parameters and preset shelf column parameters of the material;

[0013] According to the target product parameter, determining whether the preset storage location parameters of all the materials meet the preset location allocation conditions;

[0014] When it is determined that the position allocation condition is met, the pending position parameters of each of the materials are determined according to the preset cargo location parameters of each of the materials.

[0015] As an optional implementation, in the first aspect of the present invention, the target product parameters corresponding to all the materials are:

[0016] i;

[0017] Where i is the preset shelf layer parameter of the corresponding material, j is the preset shelf column parameter of the corresponding material, and W ij is the weight parameter of the corresponding material, m is the total number of shelf layers determined in advance, and n is the total number of shelf columns determined in advance.

[0018] As an optional implementation, in the first aspect of the present invention, determining the unit storage time parameter corresponding to each material type according to the pending location parameters of all the materials includes:

[0019] Determine the transport speed parameters of the stacker of the stereoscopic warehouse; the transport speed parameters include layer transport speed parameters and row transport speed parameters;

[0020] Determine the material storage location occupancy parameters of each material type according to the pending location parameters of all the materials; the material storage location occupancy parameters of each material type include the material storage location occupancy quantity of the material type, the storage location layer parameters of the storage location occupied by the material type, and the storage location column parameters of the storage location occupied by the material type;

[0021] According to the handling speed parameters of the stacker, the material storage space occupancy parameters of all the material types and the predetermined shelf specification parameters of the stereoscopic warehouse, the unit entry and exit time parameters corresponding to each material type are determined; the shelf specification parameters of the stereoscopic warehouse include the shelf layer-to-layer distance parameters and the shelf column-to-column distance parameters of the stereoscopic warehouse.

[0022] As an optional implementation, in the first aspect of the present invention, the unit storage time parameter corresponding to each material type is:

[0023] ;

[0024] Among them, V x is the layer handling speed parameter of the stacker, V y is the column handling speed parameter of the stacker, Q is the number of material storage spaces occupied by the corresponding material type, C k is the storage location layer parameter of the storage location K occupied by the corresponding material type, L k is the cargo location column parameter of the cargo location K occupied by the corresponding material type, L is the distance parameter between the shelf layers of the stereoscopic warehouse, and H is the distance parameter between the shelf rows of the stereoscopic warehouse.

[0025] As an optional implementation, in the first aspect of the present invention, determining the target in / out time parameters corresponding to all the material types within the target period according to the unit in / out time parameters corresponding to all the material types includes:

[0026] Determine the expected number of inbound and outbound shipments of each material type within the target period;

[0027] Determine the total in-and-out time parameter of each material type within the target period according to the expected in-and-out times of each material type within the target period and the unit in-and-out time parameter corresponding to each material type;

[0028] According to the total in-and-out time parameters of all the material types in the target period, the average in-and-out time parameters corresponding to all the material types in the target period are determined as the target in-and-out time parameters corresponding to all the material types.

[0029] As an optional implementation, in the first aspect of the present invention, the target storage time parameters corresponding to all the material types are:

[0030] ;

[0031] Among them, R is the total number of types corresponding to all the material types, N l is the expected number of times material type l is in and out of storage during the target period, T mat，l It is the unit storage and outgoing time parameter corresponding to the corresponding material type l.

[0032] The second aspect of the present invention discloses a material storage location allocation device for a stereoscopic warehouse, the device comprising:

[0033] A first determination module is used to determine the weight parameter of each material to be distributed in the three-dimensional warehouse, and determine the pending position parameter of each material according to the weight parameters of all the materials;

[0034] The second determination module is used to determine the unit storage-in and storage-out time parameters corresponding to each material type according to the pending location parameters of all the materials; all the materials include the materials contained in all the material types; according to the unit storage-in and storage-out time parameters corresponding to all the material types, determine the target storage-in and storage-out time parameters corresponding to all the material types within the target period;

[0035] A judgment module, used to judge whether the target in-and-out time parameters meet the preset in-and-out requirements;

[0036] A third determination module is used to determine the to-be-allocated position parameters of each of the materials according to the to-be-determined position parameters of each of the materials when the judgment module determines that the storage-in and storage-out requirements are met;

[0037] The allocation module is used to allocate storage locations for all the materials according to the location parameters of all the materials to be allocated.

[0038] As an optional implementation, in the second aspect of the present invention, the first determination module determines the undetermined position parameter of each of the materials according to the weight parameters of all the materials in a manner that specifically includes:

[0039] Obtaining the preset cargo location parameters of each of the materials, and calculating the target product parameters corresponding to all of the materials according to the preset cargo location parameters of all of the materials and the corresponding weight parameters; the preset cargo location parameters of each of the materials include the preset shelf layer parameters and preset shelf column parameters of the material;

[0040] According to the target product parameter, determining whether the preset storage location parameters of all the materials meet the preset location allocation conditions;

[0041] When it is determined that the position allocation condition is met, the pending position parameters of each of the materials are determined according to the preset cargo location parameters of each of the materials.

[0042] As an optional implementation, in the second aspect of the present invention, the target product parameters corresponding to all the materials are:

[0043] i;

[0044] Where i is the preset shelf layer parameter of the corresponding material, j is the preset shelf column parameter of the corresponding material, and W ij is the weight parameter of the corresponding material, m is the total number of shelf layers determined in advance, and n is the total number of shelf columns determined in advance.

[0045] As an optional implementation, in the second aspect of the present invention, the second determination module determines the unit storage time parameter corresponding to each material type according to the pending location parameters of all the materials, specifically including:

[0046] Determine the transport speed parameters of the stacker of the stereoscopic warehouse; the transport speed parameters include layer transport speed parameters and row transport speed parameters;

[0047] Determine the material storage location occupancy parameters of each material type according to the pending location parameters of all the materials; the material storage location occupancy parameters of each material type include the material storage location occupancy quantity of the material type, the storage location layer parameters of the storage location occupied by the material type, and the storage location column parameters of the storage location occupied by the material type;

[0048] According to the handling speed parameters of the stacker, the material storage space occupancy parameters of all the material types and the predetermined shelf specification parameters of the stereoscopic warehouse, the unit entry and exit time parameters corresponding to each material type are determined; the shelf specification parameters of the stereoscopic warehouse include the shelf layer-to-layer distance parameters and the shelf column-to-column distance parameters of the stereoscopic warehouse.

[0049] As an optional implementation, in the second aspect of the present invention, the unit storage time parameter corresponding to each material type is:

[0050] ;

[0051] Among them, V x is the layer handling speed parameter of the stacker, V y is the column handling speed parameter of the stacker, Q is the number of material storage spaces occupied by the corresponding material type, C k is the storage location layer parameter of the storage location K occupied by the corresponding material type, L k is the cargo location column parameter of the cargo location K occupied by the corresponding material type, L is the distance parameter between the shelf layers of the stereoscopic warehouse, and H is the distance parameter between the shelf rows of the stereoscopic warehouse.

[0052] As an optional implementation, in the second aspect of the present invention, the second determination module determines the target in / out time parameters corresponding to all the material types within the target period according to the unit in / out time parameters corresponding to all the material types, specifically including:

[0053] Determine the expected number of inbound and outbound shipments of each material type within the target period;

[0054] Determine the total in-and-out time parameter of each material type within the target period according to the expected in-and-out times of each material type within the target period and the unit in-and-out time parameter corresponding to each material type;

[0055] According to the total in-and-out time parameters of all the material types in the target period, the average in-and-out time parameters corresponding to all the material types in the target period are determined as the target in-and-out time parameters corresponding to all the material types.

[0056] As an optional implementation, in the second aspect of the present invention, the target storage time parameters corresponding to all the material types are:

[0057] ;

[0058] Among them, R is the total number of types corresponding to all the material types, N l is the expected number of times material type l is in and out of storage during the target period, T mat，l It is the unit storage and outgoing time parameter corresponding to the corresponding material type l.

[0059] The third aspect of the present invention discloses another material storage location allocation device for a stereoscopic warehouse, the device comprising:

[0060] A memory storing executable program code;

[0061] a processor coupled to the memory;

[0062] The processor calls the executable program code stored in the memory to execute the material storage location allocation method for the stereoscopic warehouse disclosed in the first aspect of the present invention.

[0063] The fourth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the material storage location allocation method for the stereoscopic warehouse disclosed in the first aspect of the present invention.

[0064] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0065] In the embodiment of the present invention, the pending position parameters of each material are determined according to the weight parameters of all materials to be allocated in the three-dimensional warehouse; the unit in-and-out time parameters corresponding to each material type are determined according to the pending position parameters of all materials; the target in-and-out time parameters corresponding to all material types within the target period are determined according to the unit in-and-out time parameters corresponding to all material types, and it is judged whether the target in-and-out time parameters meet the in-and-out requirements. If so, the to-be-allocated position parameters of each material are determined according to the pending position parameters of each material, so as to allocate storage locations for all materials. In this way, compared with the traditional material sequential allocation method, the rationality and accuracy of material allocation are improved, and the subsequent execution efficiency of material in-and-out is optimized, thereby improving the efficiency of management and control of the three-dimensional warehouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0067] Figure 1 It is a flow chart of a material storage location allocation method for a stereoscopic warehouse disclosed in an embodiment of the present invention;

[0068] Figure 2 It is a flow chart of another material storage location allocation method for a stereoscopic warehouse disclosed in an embodiment of the present invention;

[0069] Figure 3 It is a structural schematic diagram of a material storage location allocation device for a three-dimensional warehouse disclosed in an embodiment of the present invention;

[0070] Figure 4 It is a structural schematic diagram of another material storage location allocation device for a stereoscopic warehouse disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0071] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0073] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0074] The present invention discloses a material storage location allocation method and device for a stereoscopic warehouse. Compared with the traditional material sequential allocation method, the rationality and accuracy of material allocation are improved, and the subsequent execution efficiency of material entry and exit is optimized, thereby improving the efficiency of management and control of the stereoscopic warehouse.

[0075] Embodiment 1

[0076] See also Figure 1 , Figure 1 The figure is a flow chart of a material storage location allocation method for a stereoscopic warehouse disclosed in an embodiment of the present invention. Figure 1 The described method for allocating material cargo space in a stereoscopic warehouse can be applied to e-commerce and logistics warehouse management scenarios, pharmaceutical warehouse management scenarios, and auto parts warehouse management scenarios, etc., and the embodiments of the present invention do not limit this. Optionally, the method can be implemented by a material cargo space allocation device, which can be integrated into an automatic control system of a stereoscopic warehouse, or can be a local server or cloud server for processing the material cargo space allocation process of a stereoscopic warehouse, etc., and the embodiments of the present invention do not limit this. Figure 1 As shown, the material storage location allocation method of the three-dimensional warehouse may include the following operations:

[0077] 101. Determine the weight parameters of each material to be distributed in the high-bay warehouse, and determine the pending position parameters of each material based on the weight parameters of all materials.

[0078] In the embodiment of the present invention, generally speaking, in order to ensure a good acceptance of painters in the stereoscopic warehouse and ensure the stability of the shelves, the cargo space is generally allocated to each material according to the principle of light on top and heavy on the bottom. In addition, according to the principle of lane allocation, different types of materials should be allocated to different lanes, and when receiving goods into the stereoscopic warehouse, the materials should be evenly divided between the lanes as much as possible, such as the storage space in the lane is evenly divided on the left and right.

[0079] Furthermore, the pending position parameters of each material can be determined based on the weight parameters of all materials and in combination with at least one of the type parameters, size parameters, shape parameters, sales frequency parameters, production demand parameters and storage condition parameters of all materials.

[0080] 102. Based on the pending location parameters of all materials, determine the unit entry and exit time parameters corresponding to each material type.

[0081] In the embodiment of the present invention, all materials include materials included in all material types, that is, this embodiment can be understood as determining the execution time required for each entry and exit operation of materials included in the corresponding material type based on the pending position parameters of all materials.

[0082] 103. According to the unit in-and-out time parameters corresponding to all material types, determine the target in-and-out time parameters corresponding to all material types within the target period, and determine whether the target in-and-out time parameters meet the preset in-and-out requirements.

[0083] In the embodiment of the present invention, determining the target in-and-out time parameters corresponding to all material types within the target period can be understood as determining the average in-and-out time parameters or the total in-and-out time parameters corresponding to all material types within the target period.

[0084] Furthermore, it is determined whether the target in-and-out time parameters meet the preset in-and-out requirements, including: determining whether the average in-and-out time parameters / total in-and-out time parameters corresponding to all material types within the target period are less than or equal to the preset duration threshold; if so, it is determined that the target in-and-out time parameters meet the preset in-and-out requirements; otherwise, vice versa.

[0085] 104. When it is determined that the requirements for warehousing and outgoing storage are met, the to-be-allocated position parameters of each material are determined according to the to-be-determined position parameters of each material, and the storage locations of all materials are allocated according to the to-be-allocated position parameters of all materials.

[0086] In the embodiment of the present invention, the principle of light on top and heavy on the bottom and the nearest warehouse is followed to ensure shelf stability and shorten the time required for material entry and exit.

[0087] Further, when it is determined that the in-and-out requirements are not met, the pending position parameters of each material are updated based on the weight parameters of all materials to obtain the updated pending position parameters of all materials, and the operation of determining the unit in-and-out time parameters corresponding to each material type according to the pending position parameters of all materials in step 102 is triggered, and the pending position parameters of all materials are the updated pending position parameters of all materials. It should be noted that a simulated annealing algorithm, a genetic algorithm or other algorithms can be further used to find an optimal or near-optimal material storage location allocation plan.

[0088] Furthermore, in the process of allocating storage locations for all materials, you can refer to the following steps:

[0089] 1. Query the material storage location allocation table and find the storage location allocated to the material in the table. The material storage location allocation table can be updated every other cycle based on the new material's historical in / out times and the number of occupied storage locations;

[0090] 2. If the cargo space is empty, the stacker moves the material to the cargo space;

[0091] 3. If the cargo location is not empty, query the materials on the cargo location;

[0092] 1) If the material is the same as the currently allocated material, query the next storage location allocated to the same material and re-execute operation 1;

[0093] 2) If the material is different from the currently allocated material, move the material on the location to any location in the unoptimized area;

[0094] 3) Move the current material to the assigned location;

[0095] 4. If the same material is stored in all the storage locations assigned to the material, move the material to any storage location in the non-optimized area.

[0096] It can be seen that the implementation of the embodiment of the present invention can intelligently determine the unit in and out time parameters corresponding to each material type according to the weight parameters of all materials to be allocated, and then determine the target in and out time parameters corresponding to all material types within the target period based on the unit in and out time parameters corresponding to each material type, so as to allocate storage locations for all materials based on the target in and out time parameters. In this way, compared with the traditional material allocation method in sequence, the rationality and accuracy of material allocation are improved, and the subsequent execution efficiency of material in and out is optimized, thereby improving the efficiency of the management and control of the three-dimensional warehouse; at the same time, it also ensures the stability of the shelf structure of the three-dimensional warehouse, thereby improving the management security of the three-dimensional warehouse.

[0097] Embodiment 2

[0098] See also Figure 2 , Figure 2 It is a flow chart of another material storage location allocation method for a stereoscopic warehouse disclosed in an embodiment of the present invention. Figure 2 The described method for allocating material cargo space in a stereoscopic warehouse can be applied to e-commerce and logistics warehouse management scenarios, pharmaceutical warehouse management scenarios, and auto parts warehouse management scenarios, etc., and the embodiments of the present invention do not limit this. Optionally, the method can be implemented by a material cargo space allocation device, which can be integrated into an automatic control system of a stereoscopic warehouse, or can be a local server or cloud server for processing the material cargo space allocation process of a stereoscopic warehouse, etc., and the embodiments of the present invention do not limit this. Figure 2 As shown, the material storage location allocation method of the three-dimensional warehouse may include the following operations:

[0099] 201. Determine the weight parameters of each material to be distributed in the high-bay warehouse.

[0100] 202. Obtain the preset storage location parameters of each material, and calculate the target product parameters corresponding to all materials according to the preset storage location parameters of all materials and the corresponding weight parameters.

[0101] In the embodiment of the present invention, the preset cargo location parameters of each material include preset shelf layer parameters and preset shelf row parameters of the material.

[0102] Furthermore, the target product parameters corresponding to all materials are:

[0103] i;

[0104] Where i is the preset shelf layer parameter of the corresponding material, j is the preset shelf column parameter of the corresponding material, and W ij is the weight parameter of the corresponding material, m is the total number of shelf layers determined in advance, and n is the total number of shelf columns determined in advance.

[0105] It should be noted that, assuming that a row of shelves in a stereoscopic warehouse has m layers and n columns, the ground layer is the first layer, and the column closest to the entrance is the first column, then the weight of the material in the i-th layer and the j-th column is recorded as W ij Based on the principle of light on top and heavy on the bottom, the sum S of the product of the weight of each pallet on the shelf and the layer it is on needs to be less than or equal to the threshold, so that the shelf stability can be ensured.

[0106] 203. According to the target product parameter, determine whether the preset storage location parameters of all materials meet the preset location allocation conditions.

[0107] In the embodiment of the present invention, it can be understood that based on the target product parameter, it is judged whether the target product parameter is less than or equal to the preset product parameter. If so, it is determined that the preset cargo location parameters of all materials meet the preset location allocation conditions, that is, the cargo location allocation of all materials basically meets the principle of light on top and heavy on the bottom.

[0108] 204. When it is determined that the location allocation conditions are met, the pending location parameters of each material are determined according to the preset storage location parameters of each material.

[0109] In the embodiment of the present invention, the preset cargo location position parameters of the material may be directly determined as the pending position parameters of the material.

[0110] 205. Based on the pending location parameters of all materials, determine the unit entry and exit time parameters corresponding to each material type.

[0111] 206. According to the unit in-and-out time parameters corresponding to all material types, determine the target in-and-out time parameters corresponding to all material types within the target period, and judge whether the target in-and-out time parameters meet the preset in-and-out requirements.

[0112] 207. When it is determined that the requirements for warehousing and outgoing storage are met, the to-be-allocated position parameters of each material are determined according to the to-be-determined position parameters of each material, and the storage locations of all materials are allocated according to the to-be-allocated position parameters of all materials.

[0113] In the embodiment of the present invention, for other descriptions of step 201 and step 205 to step 207, please refer to the detailed description of step 101 to step 104 in the first embodiment, and the embodiment of the present invention will not be repeated here.

[0114] It can be seen that the implementation of the embodiment of the present invention can calculate the target product parameters corresponding to all materials according to the preset cargo location parameters of each material, and then determine the pending location parameters of each material through the optimization process of the target product parameters. In this way, compared with the traditional material sequence allocation method, it is beneficial to improve the rationality and accuracy of the cargo location allocation of each material, and then help to improve the shelf stability of the three-dimensional warehouse, thereby helping to improve the management security of the three-dimensional warehouse.

[0115] In an optional embodiment, the step 205 above determines the unit storage time parameter corresponding to each material type according to the pending location parameters of all materials, including:

[0116] Determine the handling speed parameters of the stacker in the high-bay warehouse;

[0117] Determine the material storage location occupancy parameters for each material type based on the pending location parameters of all materials;

[0118] According to the stacker's handling speed parameters, the material storage space occupancy parameters of all material types and the pre-determined shelf specification parameters of the stereoscopic warehouse, the unit entry and exit time parameters corresponding to each material type are determined.

[0119] In this optional embodiment, the transport speed parameters include layer transport speed parameters and row transport speed parameters; the material location occupancy parameters of each material type include the material location occupancy quantity of the material type, the location layer parameters of the location occupied by the material type, and the location column parameters of the location occupied by the material type; the shelf specification parameters of the three-dimensional warehouse include the shelf layer-to-layer distance parameters and the shelf column-to-column distance parameters of the three-dimensional warehouse.

[0120] Furthermore, the handling speed parameters of the stacker crane in the high-bay warehouse are determined, including:

[0121] Determine the equipment usage information of the stacker of the stereoscopic warehouse and / or the congestion of the cargo space in the stereoscopic warehouse, and determine the handling speed parameters of the stacker of the stereoscopic warehouse based on the equipment usage information of the stacker of the stereoscopic warehouse and / or the congestion of the cargo space in the stereoscopic warehouse; wherein the equipment usage information includes historical usage information and / or equipment failure information.

[0122] Furthermore, due to T carry , that is, the time taken by the stacker to transport the material on the jth row of the i-th layer is:

[0123] ;

[0124] Therefore, the unit storage time parameters corresponding to each material type are:

[0125] ;

[0126] Among them, V x is the layer handling speed parameter of the stacker, V y is the stacker's column handling speed parameter, Q is the number of material storage locations occupied by the corresponding material type, C k is the storage location layer parameter of the storage location K occupied by the corresponding material type, L k is the storage location column parameter of the storage location K occupied by the corresponding material type, L is the distance parameter between the shelf layers of the stereoscopic warehouse, and H is the distance parameter between the shelf columns of the stereoscopic warehouse.

[0127] It can be seen that this optional embodiment can calculate the unit entry and exit time parameters corresponding to each material type through the stacker's handling speed parameters and material storage space occupancy parameters, combined with the shelf specification parameters of the three-dimensional warehouse. In this way, compared with the traditional material sequential distribution method, it is beneficial to improve the calculation reliability and accuracy of the unit entry and exit time parameters corresponding to each material type, and thus help to reduce the material handling time required in the three-dimensional warehouse within the target period, so as to help managers reasonably plan the warehouse layout and optimize the material storage space allocation process.

[0128] In another optional embodiment, the step 206 above determines the target in / out time parameters corresponding to all material types within the target period according to the unit in / out time parameters corresponding to all material types, including:

[0129] Determine the expected number of inbound and outbound transactions for each material type within the target period;

[0130] Determine the total in-and-out time parameters for each material type within the target period based on the expected number of in-and-out times for each material type within the target period and the unit in-and-out time parameters corresponding to each material type;

[0131] According to the total in-and-out time parameters of all material types in the target period, the average in-and-out time parameters corresponding to all material types in the target period are determined as the target in-and-out time parameters corresponding to all material types.

[0132] In this optional embodiment, further, the target storage time parameters corresponding to all material types are:

[0133] ;

[0134] Among them, R is the total number of types corresponding to all material types, N l is the expected number of inbound and outbound times of material type l in the target period, T mat，l is the unit in-and-out time parameter corresponding to the corresponding material type l (that is, the total in-and-out time parameter of the corresponding material type is ). It should be noted that according to the principle of nearest inbound and outbound storage, T should be used when allocating storage locations. avg As small as possible.

[0135] It can be seen that this optional embodiment can determine the target in and out time parameters corresponding to all material types based on the expected number of in and out times of each material type within the target cycle and its corresponding total in and out time parameters. In this way, compared with the traditional sequential material allocation method, it is conducive to continuously optimizing the target in and out time parameters corresponding to all material types, and thus is conducive to improving the operational efficiency and response speed of the three-dimensional warehouse, thereby providing managers with high-quality logistics services.

[0136] Embodiment 3

[0137] See also Figure 3 , Figure 3 Schematic diagram of the structure of a material storage location allocation device for a three-dimensional warehouse disclosed in an embodiment of the present invention. Figure 3 As shown, the material storage location allocation device of the three-dimensional warehouse may include:

[0138] The first determination module 301 is used to determine the weight parameter of each material to be distributed in the three-dimensional warehouse, and determine the pending position parameter of each material according to the weight parameters of all materials;

[0139] The second determination module 302 is used to determine the unit storage-in and storage-out time parameters corresponding to each material type according to the pending position parameters of all materials; all materials include materials included in all material types; according to the unit storage-in and storage-out time parameters corresponding to all material types, determine the target storage-in and storage-out time parameters corresponding to all material types within the target period;

[0140] The judgment module 303 is used to judge whether the target storage-in and storage-out time parameters meet the preset storage-in and storage-out requirements;

[0141] The third determination module 304 is used to determine the to-be-allocated position parameters of each material according to the to-be-determined position parameters of each material when the determination module 303 determines that the storage requirements are met;

[0142] The allocation module 305 is used to allocate storage locations for all materials according to the to-be-allocated location parameters of all materials.

[0143] It can be seen that the implementation Figure 3The material storage location allocation device of the described three-dimensional warehouse can intelligently determine the unit entry and exit time parameters corresponding to each material type according to the weight parameters of all materials to be allocated, and then determine the target entry and exit time parameters corresponding to all material types within the target period based on the unit entry and exit time parameters corresponding to each material type, so as to allocate storage locations for all materials based on the target entry and exit time parameters. In this way, compared with the traditional material sequential allocation method, the rationality and accuracy of material allocation are improved, and the subsequent execution efficiency of material entry and exit is optimized, thereby improving the efficiency of the management and control of the three-dimensional warehouse; at the same time, it also ensures the stability of the shelf structure of the three-dimensional warehouse, thereby improving the management security of the three-dimensional warehouse.

[0144] In an optional embodiment, the first determining module 301 determines the pending position parameter of each material according to the weight parameters of all materials in the following manner:

[0145] Obtain the preset cargo location parameters of each material, and calculate the target product parameters corresponding to all materials based on the preset cargo location parameters and corresponding weight parameters of all materials; the preset cargo location parameters of each material include the preset shelf layer parameters and preset shelf column parameters of the material;

[0146] According to the target product parameter, determine whether the preset storage location parameters of all materials meet the preset location allocation conditions;

[0147] When it is determined that the location allocation conditions are met, the pending location parameters of each material are determined based on the preset cargo location parameters of each material.

[0148] In this optional embodiment, further, the target product parameters corresponding to all materials are:

[0149] i;

[0150] Where i is the preset shelf layer parameter of the corresponding material, j is the preset shelf column parameter of the corresponding material, and W ij is the weight parameter of the corresponding material, m is the total number of shelf layers determined in advance, and n is the total number of shelf columns determined in advance.

[0151] It can be seen that the implementation Figure 3 The material storage location allocation device of the described three-dimensional warehouse can calculate the target product parameters corresponding to all materials according to the preset storage location parameters of each material, and then determine the pending location parameters of each material through the optimization process of the target product parameters. In this way, compared with the traditional material sequential allocation method, it is beneficial to improve the rationality and accuracy of the storage location allocation of each material, and then it is beneficial to improve the shelf stability of the three-dimensional warehouse, thereby helping to improve the management security of the three-dimensional warehouse.

[0152] In another optional embodiment, the second determining module 302 determines the unit storage-in and storage-out time parameter corresponding to each material type according to the pending location parameters of all materials in a manner that specifically includes:

[0153] Determine the handling speed parameters of the stacker in the high-bay warehouse;

[0154] Determine the material storage location occupancy parameters for each material type based on the pending location parameters of all materials;

[0155] According to the stacker's handling speed parameters, the material storage space occupancy parameters of all material types and the pre-determined shelf specification parameters of the stereoscopic warehouse, the unit entry and exit time parameters corresponding to each material type are determined.

[0156] In this optional embodiment, the transport speed parameters include layer transport speed parameters and row transport speed parameters; the material location occupancy parameters of each material type include the material location occupancy quantity of the material type, the location layer parameters of the location occupied by the material type, and the location column parameters of the location occupied by the material type; the shelf specification parameters of the three-dimensional warehouse include the shelf layer-to-layer distance parameters and the shelf column-to-column distance parameters of the three-dimensional warehouse.

[0157] Furthermore, the unit storage time parameters corresponding to each material type are:

[0158] ;

[0159] Among them, V x is the layer handling speed parameter of the stacker, V y is the stacker's column handling speed parameter, Q is the number of material storage locations occupied by the corresponding material type, C k is the storage location layer parameter of the storage location K occupied by the corresponding material type, L k is the storage location column parameter of the storage location K occupied by the corresponding material type, L is the distance parameter between the shelf layers of the stereoscopic warehouse, and H is the distance parameter between the shelf columns of the stereoscopic warehouse.

[0160] It can be seen that the implementation Figure 3 The material storage location allocation device of the described three-dimensional warehouse can calculate the unit entry and exit time parameters corresponding to each material type through the stacker's handling speed parameters and material storage location occupancy parameters, combined with the shelf specification parameters of the three-dimensional warehouse. In this way, compared with the traditional material sequential allocation method, it is beneficial to improve the calculation reliability and accuracy of the unit entry and exit time parameters corresponding to each material type, and thus help to reduce the material handling time required in the three-dimensional warehouse within the target cycle, so as to help managers reasonably plan the warehouse layout and optimize the material storage location allocation process.

[0161] In another optional embodiment, the second determining module 302 determines the target in / out time parameters corresponding to all material types within the target period according to the unit in / out time parameters corresponding to all material types, specifically including:

[0162] Determine the expected number of inbound and outbound transactions for each material type within the target period;

[0163] Determine the total in-and-out time parameters for each material type within the target period based on the expected number of in-and-out times for each material type within the target period and the unit in-and-out time parameters corresponding to each material type;

[0164] According to the total in-and-out time parameters of all material types in the target period, the average in-and-out time parameters corresponding to all material types in the target period are determined as the target in-and-out time parameters corresponding to all material types.

[0165] In this optional embodiment, further, the target storage time parameters corresponding to all material types are:

[0166] ;

[0167] Among them, R is the total number of types corresponding to all material types, N l is the expected number of inbound and outbound times of material type l in the target period, T mat，l It is the unit storage and outgoing time parameter corresponding to the corresponding material type l.

[0168] It can be seen that the implementation Figure 3 The material storage location allocation device of the described three-dimensional warehouse can determine the target entry and exit time parameters corresponding to all material types based on the expected number of entry and exit times of each material type within the target cycle and its corresponding total entry and exit time parameters. In this way, compared with the traditional material sequential allocation method, it is conducive to continuously optimizing the target entry and exit time parameters corresponding to all material types, and then it is conducive to improving the operational efficiency and response speed of the three-dimensional warehouse, thereby providing high-quality logistics services for managers.

[0169] Embodiment 4

[0170] See also Figure 4 , Figure 4 FIG. 1 is a schematic diagram of the structure of another material storage location allocation device for a three-dimensional warehouse disclosed in an embodiment of the present invention. Figure 4 As shown, the material storage location allocation device of the three-dimensional warehouse may include:

[0171] A memory 401 storing executable program codes;

[0172] a processor 402 coupled to the memory 401;

[0173] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the material storage location allocation method for a stereoscopic warehouse described in the first embodiment of the present invention or the second embodiment of the present invention.

[0174] Embodiment 5

[0175] An embodiment of the present invention discloses a computer storage medium storing computer instructions. When the computer instructions are called, they are used to execute the steps in the material storage location allocation method for a stereoscopic warehouse described in the first embodiment of the present invention or the second embodiment of the present invention.

[0176] Embodiment 6

[0177] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the material storage location allocation method for a stereoscopic warehouse described in Embodiment 1 or Embodiment 2.

[0178] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0179] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0180] Finally, it should be noted that the material storage location allocation method and device for a three-dimensional warehouse disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention 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 can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A material storage location allocation method for a three-dimensional warehouse, characterized in that: The method comprises: Determine the weight parameter of each material to be distributed in the three-dimensional warehouse, and determine the pending position parameter of each material according to the weight parameters of all the materials; Determine the transport speed parameters of the stacker of the stereoscopic warehouse; the transport speed parameters include layer transport speed parameters and row transport speed parameters; Determine the material storage location occupancy parameters of each material type according to the pending location parameters of all the materials; all the materials include the materials included in all the material types, and the material storage location occupancy parameters of each material type include the material storage location occupancy quantity of the material type, the storage location layer parameters of the storage location occupied by the material type, and the storage location column parameters of the storage location occupied by the material type; Determine the unit storage time parameter corresponding to each material type according to the handling speed parameter of the stacker, the material storage space occupancy parameters of all the material types and the pre-determined shelf specification parameters of the stereoscopic warehouse; the shelf specification parameters of the stereoscopic warehouse include the shelf layer-to-layer distance parameters and the shelf row-to-row distance parameters of the stereoscopic warehouse; Determine the expected number of inbound and outbound shipments of each material type within the target period; Determine the total in-and-out time parameter of each material type within the target period according to the expected in-and-out times of each material type within the target period and the unit in-and-out time parameter corresponding to each material type; According to the total in-and-out time parameters of all the material types in the target period, determine the average in-and-out time parameters corresponding to all the material types in the target period as the target in-and-out time parameters corresponding to all the material types, and judge whether the target in-and-out time parameters meet the preset in-and-out requirements; When it is determined that the storage and warehousing requirements are met, the to-be-allocated position parameters of each material are determined according to the to-be-determined position parameters of each material, and the storage locations of all the materials are allocated according to the to-be-allocated position parameters of all the materials; Among them, the unit storage time parameters corresponding to each material type are: ； Among them, V x is the layer handling speed parameter of the stacker, V y is the column handling speed parameter of the stacker, Q is the number of material storage spaces occupied by the corresponding material type, C k is the storage location layer parameter of the storage location K occupied by the corresponding material type, L k is the cargo location column parameter of the cargo location K occupied by the corresponding material type, L is the distance parameter between the shelf layers of the stereoscopic warehouse, and H is the distance parameter between the shelf rows of the stereoscopic warehouse.

2. The material storage location allocation method of a stereoscopic warehouse according to claim 1 is characterized in that: Determining the pending position parameters of each of the materials according to the weight parameters of all the materials includes: Obtaining the preset cargo location parameters of each of the materials, and calculating the target product parameters corresponding to all of the materials according to the preset cargo location parameters of all of the materials and the corresponding weight parameters; the preset cargo location parameters of each of the materials include the preset shelf layer parameters and preset shelf column parameters of the material; According to the target product parameter, determining whether the preset storage location parameters of all the materials meet the preset location allocation conditions; When it is determined that the position allocation condition is met, the pending position parameters of each of the materials are determined according to the preset cargo location parameters of each of the materials.

3. The material storage location allocation method of a stereoscopic warehouse according to claim 2 is characterized in that: The target product parameters corresponding to all the materials are: i； Where i is the preset shelf layer parameter of the corresponding material, j is the preset shelf column parameter of the corresponding material, and W ij is the weight parameter of the corresponding material, m is the total number of shelf layers determined in advance, and n is the total number of shelf columns determined in advance.

4. The material storage location allocation method of a stereoscopic warehouse according to any one of claims 1 to 3, characterized in that: The target entry and exit time parameters corresponding to all the material types are: ； Among them, R is the total number of types corresponding to all the material types, N l is the expected number of times material type l is in and out of storage during the target period, T mat，l It is the unit storage and outgoing time parameter corresponding to the corresponding material type l.

5. A material storage location allocation device for a three-dimensional warehouse, characterized in that: The device comprises: A first determination module is used to determine the weight parameter of each material to be distributed in the three-dimensional warehouse, and determine the pending position parameter of each material according to the weight parameters of all the materials; The second determination module is used to determine the transport speed parameters of the stacker of the stereoscopic warehouse; the transport speed parameters include layer transport speed parameters and column transport speed parameters; according to the pending position parameters of all the materials, the material cargo space occupancy parameters of each material type are determined; all the materials include the materials contained in all the material types, and the material cargo space occupancy parameters of each material type include the material cargo space occupancy quantity of the material type, the cargo space layer parameters of the cargo space occupied by the material type, and the cargo space column parameters of the cargo space occupied by the material type; according to the transport speed parameters of the stacker, the material cargo space occupancy parameters of all the material types, and the pre-determined shelf specification parameters of the stereoscopic warehouse, each of the Unit in-and-out time parameters corresponding to material types; shelf specification parameters of the stereoscopic warehouse include shelf layer-to-layer distance parameters and shelf row-to-row distance parameters of the stereoscopic warehouse; determining the expected in-and-out times of each material type within the target period; determining the total in-and-out time parameters of each material type within the target period based on the expected in-and-out times of each material type within the target period and the unit in-and-out time parameters corresponding to each material type; determining the average in-and-out time parameters corresponding to all material types within the target period based on the total in-and-out time parameters of all material types within the target period as the target in-and-out time parameters corresponding to all material types; A judgment module, used to judge whether the target in-and-out time parameters meet the preset in-and-out requirements; A third determination module is used to determine the to-be-allocated position parameters of each of the materials according to the to-be-determined position parameters of each of the materials when the judgment module determines that the storage-in and storage-out requirements are met; An allocation module, used for allocating the storage locations of all the materials according to the parameters of the locations to be allocated of all the materials; Among them, the unit storage time parameters corresponding to each material type are: ； Among them, V x is the layer handling speed parameter of the stacker, V y is the column handling speed parameter of the stacker, Q is the number of material storage spaces occupied by the corresponding material type, C k is the storage location layer parameter of the storage location K occupied by the corresponding material type, L k is the cargo location column parameter of the cargo location K occupied by the corresponding material type, L is the distance parameter between the shelf layers of the stereoscopic warehouse, and H is the distance parameter between the shelf rows of the stereoscopic warehouse.

6. A material storage location allocation device for a three-dimensional warehouse, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the material storage location allocation method for a high-bay warehouse as described in any one of claims 1 to 4.

7. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the material storage location allocation method for a high-bay warehouse as described in any one of claims 1 to 4.

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