Vehicle part occupied area determination method and device and storage medium

Abstract

The invention discloses a method and device for determining the occupied area of a vehicle part and a storage medium. The method comprises the steps that storage information of vehicle parts is obtained, and the storage information is used for representing parameters needed in the process of storing the vehicle parts; clustering analysis is carried out on the storage information, a target storage strategy of the vehicle parts is generated, and the target storage strategy is used for representing a rule for storing the vehicle parts; the vehicle parts are stored according to the target storage strategy, the initial occupied area corresponding to the vehicle parts is obtained, and the initial occupied area is used for representing the area occupied by the vehicle parts stored in a vehicle part warehouse; based on the initial occupied area, a target occupied area corresponding to the vehicle part is determined, and the target occupied area is larger than the initial occupied area. The technical problem that the determination accuracy of the occupied area of the vehicle part is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle parts, and in particular to a method, device and storage medium for determining the footprint of a vehicle part. Background Art

[0002] In the modern vehicle manufacturing industry, logistics distribution centers, where vehicle parts are stored, are crucial for ensuring continuous production line operation, cost control, and supply chain efficiency. As the bridge between parts suppliers and assembly lines, the planning and design of these centers directly impact logistics efficiency and costs.

[0003] In related technologies, traditional area planning methods for logistics distribution centers mainly rely on the experience and judgment of managers or simple mathematical formula estimation. Due to the ever-changing market demand and logistics patterns for vehicle parts, this method may not accurately reflect current or future actual needs. In the face of a wide variety of vehicle parts, this leads to the technical problem of low accuracy in determining the area occupied by vehicle parts.

[0004] Currently, no effective solution has been proposed to the technical problem of low accuracy in determining the footprint of the above-mentioned vehicle parts. Summary of the Invention

[0005] Embodiments of the present invention provide a method, device, and storage medium for determining the footprint of a vehicle component, to at least solve the technical problem of low accuracy in determining the footprint of a vehicle component.

[0006] According to one aspect of an embodiment of the present invention, a method for determining the floor space occupied by vehicle parts is provided. The method may include: obtaining storage information of vehicle parts, wherein the storage information is used to represent parameters required during the storage of vehicle parts; performing cluster analysis on the storage information to generate a target storage strategy for the vehicle parts, wherein the target storage strategy is used to represent the rules for storing vehicle parts; storing the vehicle parts according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, wherein the initial floor space is used to represent the area occupied by storing vehicle parts in a vehicle parts warehouse; and determining a target floor space corresponding to the vehicle parts based on the initial floor space, wherein the target floor space is greater than the initial floor space.

[0007] Optionally, cluster analysis is performed on the storage information to generate a target storage strategy for vehicle parts, including: cluster analysis is performed on the storage information to obtain the storage type of vehicle parts, wherein the storage type is used to characterize the storage method of vehicle parts in the warehouse; and based on the storage type, a target storage strategy is determined.

[0008] Optionally, vehicle parts are stored according to a target storage strategy to obtain an initial floor space corresponding to the vehicle parts, including: obtaining a target storage quantity of vehicle parts and a channel coefficient of vehicle parts, wherein the channel coefficient is used to characterize the degree of influence of the channel space of internal channels in the warehouse on the storage of vehicle parts; based on the target storage quantity, the channel coefficient and the storage information, the vehicle parts are stored according to the target storage strategy to determine the initial floor space.

[0009] Optionally, based on the initial floor area, the target floor area corresponding to the vehicle parts is determined, including: obtaining the redundancy coefficient of the vehicle parts, the target operating volume of the target operating equipment of the vehicle parts, and the target operating area of ​​the target operating equipment, wherein the redundancy coefficient is used to characterize the reserved space required for storing vehicle parts using the target operating equipment, the target operating equipment is the storage and processing equipment required for storing vehicle parts, and the target operating volume is the processing volume of vehicle parts stored by the target operating equipment per hour; based on the redundancy coefficient, the target operating volume, the target operating area, and the target input and output volume of storage information, the operating area area of ​​the vehicle parts is determined, wherein the operating area area is used to characterize the size of the operating area required in the process of storing vehicle parts; based on the initial floor area and the operating area area, the target floor area is determined.

[0010] Optionally, based on the initial floor area and the operating area area, the target floor area is determined, including: obtaining the age correction coefficient of vehicle parts and the category expansion coefficient of vehicle parts, wherein the age correction coefficient is used to characterize the area demand degree of the warehouse for vehicle parts within the preset planning period, and the category expansion coefficient is used to characterize the area demand degree of the warehouse for newly added vehicle parts types within the preset planning period; based on the age correction coefficient, the category expansion coefficient, the initial floor area and the operating area area, the target expansion area of ​​the vehicle parts is determined, wherein the target expansion area is used to characterize the size of the expansion area required for storing vehicle parts within the preset planning period; based on the initial floor area, the operating area area and the target expansion area, the target floor area is determined.

[0011] Optionally, based on the age correction coefficient, category expansion coefficient, initial floor area and operating area area, the target expansion area of ​​vehicle parts is determined, including: summing the initial floor area and the operating area area to obtain a target sum value; and determining the target expansion area based on the target sum value, age correction coefficient and category expansion coefficient.

[0012] Optionally, determining the target occupied area based on the initial occupied area, the operating area area and the target expansion area includes: determining the sum of the initial occupied area, the operating area area and the target expansion area as the target occupied area.

[0013] According to another aspect of an embodiment of the present invention, a device for determining the floor space occupied by vehicle parts is provided. The device may include: a first acquisition unit for acquiring storage information of vehicle parts, wherein the storage information is used to represent parameters required in the process of storing vehicle parts; a generation unit for performing cluster analysis on the storage information to generate a target storage strategy for vehicle parts, wherein the target storage strategy is used to represent rules for storing vehicle parts; a second acquisition unit for storing vehicle parts according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, wherein the initial floor space is used to represent the area occupied by storing vehicle parts in a vehicle parts warehouse; and a determination unit for determining a target floor space for vehicle parts based on the initial floor space, wherein the target floor space is greater than the initial floor space.

[0014] According to another aspect of an embodiment of the present invention, a processor is provided, which is configured to run a program, wherein when the program is run, the method for determining the footprint of a vehicle component according to an embodiment of the present invention is executed.

[0015] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored program, wherein when the program is executed, the device containing the computer-readable storage medium is controlled to execute the method for determining the footprint of a vehicle component according to an embodiment of the present invention.

[0016] According to another aspect of an embodiment of the present invention, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the method for determining the footprint of vehicle parts according to an embodiment of the present invention.

[0017] In this embodiment, storage information of vehicle parts is obtained, wherein the storage information is used to characterize parameters required in the process of storing vehicle parts; cluster analysis is performed on the storage information to generate a target storage strategy for vehicle parts, wherein the target storage strategy is used to characterize rules for storing vehicle parts; vehicle parts are stored according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, wherein the initial floor space is used to characterize the area occupied by storing vehicle parts in a vehicle parts warehouse; based on the initial floor space, a target floor space corresponding to the vehicle parts is determined, wherein the target floor space is larger than the initial floor space. In an embodiment of the present invention, storage information of vehicle parts is first obtained, and then cluster analysis is performed on the storage information obtained above to generate a target storage strategy for vehicle parts. Then, the vehicle parts are stored according to the target storage strategy to obtain the initial occupied area corresponding to the vehicle parts. Finally, based on the initial occupied area, the target occupied area corresponding to the vehicle parts is determined. Considering that after obtaining the storage information for characterizing the parameters required in the process of storing vehicle parts, the storage information can be clustered and analyzed to obtain the target storage strategy, and then the vehicle parts are first stored according to the target storage strategy to obtain the initial occupied area for directly storing the vehicle parts. Based on the initial occupied area, the target occupied area required for the vehicle parts within the preset planning period can be determined, thereby solving the technical problem of low accuracy in determining the occupied area of ​​vehicle parts and achieving the technical effect of improving the accuracy in determining the occupied area of ​​vehicle parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a method for determining the footprint of a vehicle component according to an embodiment of the present invention;

[0020] Figure 2 2 is a schematic diagram of a device for determining the footprint of a vehicle component according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions 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 embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to an embodiment of the present invention, an embodiment of a method for determining the footprint of a vehicle component is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] Figure 1 FIG. 1 is a flow chart of a method for determining the footprint of a vehicle component according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0025] Step S102: Acquire storage information of vehicle parts.

[0026] In the technical solution provided in the above step S102 of the present invention, storage information of vehicle parts is obtained, wherein the storage information is used to characterize the parameters required in the process of storing vehicle parts, and the storage information may include: attribute information, business demand information and facility parameter information.

[0027] Optionally, attribute information is used to characterize the external features or functional features of vehicle parts, such as size (e.g., length × width × height), weight, packaging unit (e.g., pallet, carton, or special container), storage level (e.g., ordinary, constant temperature, or explosion-proof), and monthly average turnover rate (e.g., frequency of entry or exit). Furthermore, the storage level can be represented by the storage space occupancy coefficient, where the storage space occupancy coefficient can be called the storage level correction coefficient, which can be calculated by K i For example, when the storage level is normal storage, it can be represented by 1. When the storage level is constant temperature storage, it can be represented by 1.2. When the storage level is explosion-proof storage, it can be represented by 1.5.

[0028] Optionally, business demand information is used to characterize business demand parameters for transport vehicle parts, such as the maximum logistics volume in a fixed time period, the type of transport vehicle (e.g., 7.6-meter trucks), the number of unloading ports, and the target service cycle (e.g., a planned period of 5-10 years).

[0029] Optionally, the facility parameter information is used to characterize the relevant parameters of the storage facilities for storing vehicle parts, such as the shelf type (e.g., light-duty shelf, high-bay shelf, or automated stereoscopic warehouse), aisle width (e.g., 3 to 4 meters for the main aisle and 2 to 3 meters for the secondary aisle), and the number of stacking layers. Further, the shelf type can be represented by the shelf space occupancy coefficient. For example, when the shelf type is a light-duty shelf, it can be represented by 1.2. When the shelf type is a high-bay shelf, it can be represented by 1. When the shelf type is an automated stereoscopic warehouse, it can be represented by 0.9.

[0030] It should be noted that the storage information is only illustrated here as an example, and the information content contained in the storage information is not specifically limited. As long as the storage information related to the storage of vehicle parts is within the scope of protection of the present invention, it will not be listed here.

[0031] Step S104: performing cluster analysis on the stored information to generate a target storage strategy for vehicle parts.

[0032] In the technical solution provided in the above step S104 of the present invention, after obtaining the storage information, a clustering algorithm can be used to perform cluster analysis on the storage information to generate a target storage strategy for vehicle parts, wherein the target storage strategy is used to characterize the rules for storing vehicle parts.

[0033] Optionally, a clustering algorithm can divide the objects in the dataset into multiple groups or clusters, so that objects in the same cluster have high similarity to each other, while objects in different clusters have large differences, for example, the K-means Clustering Algorithm (K-means algorithm for short).

[0034] It should be noted that this is only a preferred implementation method for generating a target storage strategy for vehicle parts, and does not specifically limit the process and method for generating a target storage strategy for vehicle parts. As long as cluster analysis is performed on the storage information, the process and method for generating a target storage strategy for vehicle parts are within the scope of protection of the present invention and are not listed here.

[0035] Step S106 : storing the vehicle parts according to the target storage strategy to obtain the initial occupied areas corresponding to the vehicle parts.

[0036] In the technical solution of step S106 of the present invention, the vehicle parts can be stored according to the target storage strategy to obtain the initial occupied area corresponding to the vehicle parts. The initial occupied area is used to represent the area occupied by the vehicle parts in the vehicle parts warehouse, which can be called the storage area, or simply the storage area. 存储 It can also be represented by S 储存 To express.

[0037] For example, after obtaining the target storage strategy, the vehicle parts can be stored according to the target storage strategy to obtain the storage area S corresponding to the vehicle parts. 存储 It should be noted that this is only a preferred implementation method for determining the initial floor space corresponding to vehicle parts, and does not specifically limit the process and method for determining the initial floor space corresponding to vehicle parts.

[0038] Step S108: determining a target floor area corresponding to the vehicle components based on the initial floor area.

[0039] In the technical solution provided in step S108 of the present invention, the target floor area corresponding to the vehicle parts can be determined according to the initial floor area, wherein the target floor area is larger than the initial floor area, and the target floor area can also be the floor area of ​​the vehicle parts finally determined, which can be obtained by S 总 To express.

[0040] Optionally, the area of ​​the vehicle parts operation area within a preset planning period is obtained, and a target area for the vehicle parts is determined based on the initial area and the area of ​​the operation area. The preset planning period can be set based on the object of the operation, for example, 10 years or 5 years.

[0041] It can be understood that this is only a preferred implementation method for determining the target floor area, and does not specifically limit the process and method for determining the target floor area. As long as the process and method for determining the target floor area are based on the initial floor area, they are within the scope of protection of the present invention and are not listed here.

[0042] In the above steps S102 to S108 of the present application, the storage information of vehicle parts is first obtained, and then the storage information obtained is clustered and analyzed to generate a target storage strategy for vehicle parts. The vehicle parts are then stored according to the target storage strategy to obtain the initial floor space corresponding to the vehicle parts. Finally, the target floor space corresponding to the vehicle parts is determined based on the initial floor space. Considering that after obtaining the storage information for characterizing the parameters required in the process of storing vehicle parts, the storage information can be clustered and analyzed to obtain the target storage strategy, and then the vehicle parts are first stored according to the target storage strategy to obtain the initial floor space for directly storing the vehicle parts. Based on the initial floor space, the target floor space required for the vehicle parts within the preset planning period can be determined, thereby solving the technical problem of low accuracy in determining the floor space of vehicle parts and achieving the technical effect of improving the accuracy in determining the floor space of vehicle parts.

[0043] The above method of this embodiment is further introduced below.

[0044] As an optional implementation method, cluster analysis is performed on the storage information to generate a target storage strategy for vehicle parts, including: cluster analysis is performed on the storage information to obtain the storage type of vehicle parts, wherein the storage type is used to characterize the storage method of vehicle parts in the warehouse; based on the storage type, the target storage strategy is determined.

[0045] In this embodiment, after clustering analysis of the storage information, the storage type of vehicle parts can be obtained, and then the target storage strategy can be determined based on the storage type. The storage types can be divided into four types, such as Class A, Class B, Class C, and Class D.

[0046] Optionally, when the relevant parameters in the storage information of the vehicle parts meet the following criteria, the storage type of the vehicle parts can be determined to be Class A: the volume of the vehicle parts is greater than or equal to 1 cubic meter (m 3 ), and the monthly turnover rate of the vehicle parts is greater than or equal to 15 times, then when storing the above-mentioned vehicle parts, the vehicle parts can be placed near the entrance and exit of the warehouse. From the above, it can be seen that Class A is mainly used to store large and high-frequency vehicle parts.

[0047] Alternatively, the storage type for a vehicle part can be determined to be Class B if the relevant parameters in the vehicle part's storage information meet the following criteria: the volume of the vehicle part is between 0.1 cubic meter and 1 cubic meter, and the vehicle part's storage level is ordinary storage, i.e., conventional storage. As can be seen above, Class B is primarily used to store medium-sized, ordinary vehicle parts.

[0048] Optionally, the storage type for a vehicle part can be determined to be Class C if the relevant parameters in the vehicle part's storage information meet the following criteria: the volume of the vehicle part is less than 0.1 cubic meters, and the storage level is constant temperature storage or explosion-proof storage. As can be seen from the above, Class C is primarily used for storing small, delicate vehicle parts.

[0049] Alternatively, if the relevant parameters in the vehicle part storage information meet the following criteria, the storage type for the vehicle part can be determined to be Class D: the vehicle part weighs more than 500 kilograms (kg). In this case, such heavy parts need to be stacked directly on the ground or placed on special shelves. Therefore, Class D is mainly used to store oversized and overweight vehicle parts.

[0050] For example, after obtaining a vehicle part, if the weight of the vehicle part is 600 kg and is already greater than 500 kg, there is no need to pay attention to the volume of the vehicle part. It can be directly classified as Class D and then placed on the ground or on a special shelf.

[0051] As an optional implementation method, vehicle parts are stored according to a target storage strategy to obtain the initial floor space corresponding to the vehicle parts, including: obtaining a target storage quantity of vehicle parts and a channel coefficient of the vehicle parts, wherein the channel coefficient is used to characterize the degree of influence of the channel space of an internal channel in a warehouse on the storage of vehicle parts; based on the target storage quantity, the channel coefficient and the storage information, the vehicle parts are stored according to the target storage strategy to determine the initial floor space.

[0052] In this embodiment, the target storage capacity and channel coefficient for vehicle parts can be obtained. Based on the target storage capacity, channel coefficient, and storage information, the vehicle parts are stored according to the target storage strategy obtained in the above steps to determine the initial floor space. The target storage capacity can be referred to as the average monthly storage capacity and can be represented by Q. The channel coefficient can be represented by α and can range from 0.3 to 0.8.

[0053] Optionally, the capacity of each layer of the shelf for vehicle parts and the maximum number of a single stack are obtained; the ratio of the capacity of each layer of the shelf to the maximum number of a single stack is determined as the stacking unit capacity of the shelf; the projected area of ​​the shelf and the floor area of ​​a single stack are obtained; the ratio of the projected area of ​​the shelf to the floor area of ​​a single stack is determined as the unit floor area for storing vehicle parts; the initial floor area is determined based on the target storage capacity, the storage level correction factor, the stacking unit capacity, the unit floor area and the channel coefficient. The unit floor area can be referred to as the unit storage unit floor area, which can be calculated by S 单位 The stacking unit capacity can be represented by C.

[0054] Optionally, the initial floor area is determined based on the target storage capacity, storage level correction coefficient, stacking unit capacity, unit floor area and channel coefficient, including: multiplying the target storage capacity and the storage level correction coefficient to obtain a first product; multiplying the first product and the unit floor area to obtain a second product; dividing the second product and the stacking unit capacity to obtain a first ratio; summing the target value and the channel coefficient to obtain a first sum; and determining the product of the first sum and the first ratio as the initial floor area.

[0055] Furthermore, the storage area can be expressed by the following formula:

[0056]

[0057] Among them, Q i Used to represent the average monthly storage volume of the i-th category of parts; K i Used to indicate the storage level correction factor (i.e., normal storage is 1, constant temperature storage is 1.2, and explosion-proof storage is 1.5); C i Used to indicate the stacking unit capacity of the shelf (which can be determined by the ratio of the capacity of each layer of the shelf to the maximum number of single stacks); S 单位 is the unit storage unit area of ​​vehicle parts (which can be determined by the ratio between the shelf projection area and the single pile area); α is used to represent the channel coefficient (depending on the shelf arrangement, it can be taken as a value between 0.3 and 0.8).

[0058] For example, the storage information of a battery pack is as follows: the storage type is Class A, the volume is 1.2m 3 , monthly turnover rate 20 times, and general storage. The storage information of the vehicle parts obtained is as follows: storage type is Class C, volume 0.05m 3 , constant temperature storage, monthly turnover rate of 10 times. At this time, the business parameters corresponding to vehicle parts are: maximum daily warehousing volume of 500 pieces (e.g., 200 battery packs + 300 electronic control units), planning period of 8 years, and expected annual production capacity growth of 12%. After clustering analysis of different vehicle parts, it can be determined that battery packs are Class A (e.g., high-frequency large parts) and are stored on heavy-duty shelves (e.g., 2 pieces per layer, shelf size of 2.5m×1.5m). In addition, electronic control units are Class C (precision parts) and are stored on constant temperature shelves (e.g., 10 pieces per layer, shelf size of 1.2m×1.0m, storage level correction factor of 1.2). Further, the storage area of ​​the battery pack can be calculated by S 电池包 When the unit area is 1 and the channel coefficient is 0.5, the storage area of ​​the battery pack can be calculated using the following formula:

[0059]

[0060] Among them, the storage area of ​​the electronic control unit can be calculated by S 电控 When the unit floor area is 1 and the channel coefficient is 0.6, the storage area of ​​the electronic control unit can be calculated by the following formula:

[0061]

[0062] From the above, it can be seen that the initial footprint of the battery pack and the electronic control unit can be obtained through the above formula, and then the final footprint of the battery pack and the electronic control unit can be obtained.

[0063] As an optional embodiment, based on the initial floor space, the target floor space corresponding to the vehicle parts is determined, including: obtaining the redundancy coefficient of the vehicle parts, the target operating volume of the target operating equipment of the vehicle parts, and the target operating area of ​​the target operating equipment, wherein the redundancy coefficient is used to characterize the reserved space required for storing vehicle parts using the target operating equipment, the target operating equipment is the storage and processing equipment required for storing vehicle parts, and the target operating volume is the processing volume of vehicle parts stored by the target operating equipment per hour; based on the redundancy coefficient, the target operating volume, the target operating area, and the target input and output volume of storage information, the operating area area of ​​the vehicle parts is determined, wherein the operating area area is used to characterize the size of the operating area required in the process of storing vehicle parts; based on the initial floor space and the operating area area, the target floor space is determined.

[0064] In this embodiment, the redundancy coefficient of the vehicle parts, the target workload of the target operating equipment for the vehicle parts, and the target operating area of ​​the target operating equipment are obtained. Then, based on the redundancy coefficient, target workload, target operating area, and target access volume, the operating area of ​​the vehicle parts is determined. The target occupied area of ​​the vehicle parts can be determined based on the initial occupied area and the operating area area. The target operating equipment is used to store and process vehicle parts, such as a forklift.

[0065] Optionally, the redundancy coefficient can be expressed by β. The target inflow and outflow can be called the maximum daily inflow and outflow, including the target outflow and target inflow, wherein the target outflow can be called the maximum daily outflow, which can be expressed by Q 出 The target inflow can be expressed as the maximum daily inflow, which can be expressed by Q 入The target workload is used to characterize the hourly processing capacity of a single target operation device and can be represented by T. For example, when the target operation device is a forklift, the corresponding target workload can be 50 pieces per hour. The target operation area is used to characterize the operation area of ​​a single device and can be represented by S. 设备 For example, when the target operating equipment is a forklift, the target operating area corresponding to the forklift can be 20 square meters (m 2 ).

[0066] Optionally, the target input and target output are summed to obtain a second sum; the second sum is divided by the target operation volume to obtain a second ratio; the second ratio is multiplied by the redundancy coefficient to obtain a third product; the third product is multiplied by the target operation area to obtain the operation area. The operation area can be obtained by S 作业 To express.

[0067] Furthermore, the area of ​​the working area can be expressed by the following formula:

[0068]

[0069] Wherein, β is used to represent the redundancy coefficient (and its value can be between 1.2 and 1.5). 入 and Q 出 It is used to represent the maximum daily inbound and outbound volume. T is used to represent the hourly processing capacity of a single device. 设备 Used to indicate the operating area of ​​a single piece of equipment.

[0070] For example, a forklift is used to store vehicle parts, and the forklift's processing capacity is 50 pieces per hour. The operating area of ​​a single forklift is 20m 2 When the redundancy coefficient is 1.3, the operating area S of vehicle parts can be obtained by the following formula: 作业 :

[0071]

[0072] It can be concluded that when using a forklift to store vehicle parts, the available working area is 260 square meters.

[0073] As an optional implementation method, the target floor area is determined based on the initial floor area and the operating area area, including: obtaining the age correction coefficient of vehicle parts and the category expansion coefficient of vehicle parts, wherein the age correction coefficient is used to characterize the area demand degree of the warehouse for vehicle parts within the preset planning period, and the category expansion coefficient is used to characterize the area demand degree of the warehouse for newly added vehicle parts types within the preset planning period; based on the age correction coefficient, the category expansion coefficient, the initial floor area and the operating area area, the target expansion area of ​​the vehicle parts is determined, wherein the target expansion area is used to characterize the size of the expansion area required for storing vehicle parts within the preset planning period; based on the initial floor area, the operating area area and the target expansion area, the target floor area is determined.

[0074] In this embodiment, the age correction coefficient and category expansion coefficient of the vehicle parts can be obtained. Based on the age correction coefficient, category expansion coefficient, initial occupation area and operating area obtained above, the target expansion area of ​​the vehicle parts can be determined. Then, based on the initial occupation area, operating area and target expansion area, the purpose of determining the target occupation area can be achieved. The target expansion area can be obtained by S 扩展 It can be simply referred to as the expanded area.

[0075] Alternatively, the life correction factor can be represented by γ and determined by the preset planning period. For example, when the preset planning period is 5 years, the life correction factor is 1.2. When the preset planning period is 10 years, the life correction factor is 1.5. The category expansion factor can be represented by δ and determined by the proportion of newly added vehicle parts types. For example, for every 10% increase in new vehicle parts categories, the corresponding category expansion factor is 0.1.

[0076] As an optional implementation method, the target expansion area of ​​vehicle parts is determined based on the age correction coefficient, the category expansion coefficient, the initial floor area and the operating area area, including: summing the initial floor area and the operating area area to obtain the target sum value; and determining the target expansion area based on the target sum value, the age correction coefficient and the category expansion coefficient.

[0077] In this embodiment, after obtaining the initial occupied area and the operating area area, the initial occupied area and the operating area area can be summed to obtain the target sum value, and then the target expansion area can be determined based on the target sum value, the age correction coefficient and the category expansion coefficient.

[0078] Optionally, the initial occupied area and the operating area are summed to obtain a target sum value; the third sum value and the age correction coefficient are multiplied to obtain a fourth product; the fourth product and the category expansion coefficient are multiplied to obtain a target expansion area, wherein the process of obtaining the above target expansion area can be expressed by the following formula: S 扩展 =(S 存储 +S 作业 )×γ×δ.

[0079] For example, when the annual correction coefficient γ is 1.4 and the category expansion coefficient δ is 0.2, the storage area S of the battery pack can be obtained according to the example in the above steps. 电池包 The storage area of ​​the electronic control unit is 562.5 square meters. 电控 The operating area is 69.12 square meters. 作业 If the area is 260 square meters, the expansion area can be obtained as follows:

[0080] S 扩展 =(562.5+69.12+260)×1.4×0.2=249.65m 2

[0081] From the above, we can see that the expanded area of ​​the battery pack and electronic control unit is 249.65 square meters.

[0082] As an optional embodiment, the target area is determined based on the initial area, the operating area and the target expansion area, including: determining the sum of the initial area, the operating area and the target expansion area as the target area.

[0083] In this embodiment, after the initial occupied area, the operating area, and the target expansion area are obtained, the sum of the initial occupied area, the operating area, and the target expansion area can be determined as the target occupied area. The above process can be expressed by the following formula: S 总 =S 存储 +S 作业 +S 扩展 .

[0084] For example, from the above steps, when the vehicle component is a battery pack, the storage area S of the battery pack can be obtained. 电池包 It is 562.5 square meters. When the vehicle component is an electronic control unit, the storage area of ​​the electronic control unit is S 电控 The operating area is 69.12 square meters. 作业 The target floor area of ​​the battery pack and electronic control unit is 260 square meters, and the expanded area of ​​the battery pack and electronic control unit is 249.65 square meters. From the above content, it can be obtained that the target floor area of ​​the battery pack and electronic control unit is 1141.27 square meters.

[0085] In this embodiment, storage information of vehicle parts is obtained, wherein the storage information is used to characterize parameters required in the process of storing vehicle parts; cluster analysis is performed on the storage information to generate a target storage strategy for vehicle parts, wherein the target storage strategy is used to characterize rules for storing vehicle parts; vehicle parts are stored according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, wherein the initial floor space is used to characterize the area occupied by storing vehicle parts in a vehicle parts warehouse; based on the initial floor space, a target floor space corresponding to the vehicle parts is determined, wherein the target floor space is larger than the initial floor space. In an embodiment of the present invention, storage information of vehicle parts is first obtained, and then cluster analysis is performed on the storage information obtained above to generate a target storage strategy for vehicle parts. Then, the vehicle parts are stored according to the target storage strategy to obtain the initial occupied area corresponding to the vehicle parts. Finally, based on the initial occupied area, the target occupied area corresponding to the vehicle parts is determined. Considering that after obtaining the storage information for characterizing the parameters required in the process of storing vehicle parts, the storage information can be clustered and analyzed to obtain the target storage strategy, and then the vehicle parts are first stored according to the target storage strategy to obtain the initial occupied area for directly storing the vehicle parts. Based on the initial occupied area, the target occupied area required for the vehicle parts within the preset planning period can be determined, thereby solving the technical problem of low accuracy in determining the occupied area of ​​vehicle parts and achieving the technical effect of improving the accuracy in determining the occupied area of ​​vehicle parts.

[0086] The technical solutions of the embodiments of the present invention are further illustrated below with examples.

[0087] In the modern vehicle manufacturing industry, logistics distribution centers, where vehicle parts are stored, are crucial for ensuring continuous production line operation, cost control, and supply chain efficiency. As the bridge between parts suppliers and assembly lines, the planning and design of these centers directly impact logistics efficiency and costs.

[0088] In related technologies, traditional area planning methods for logistics distribution centers mainly rely on the experience and judgment of managers or simple mathematical formula estimation. Due to the ever-changing market demand and logistics patterns for vehicle parts, this method may not accurately reflect current or future actual needs. In the face of a wide variety of vehicle parts, this leads to the technical problem of low accuracy in determining the area occupied by vehicle parts.

[0089] In order to solve the above problems, the present invention proposes a method for determining the floor space of vehicle parts, which includes: first obtaining storage information of vehicle parts, and then performing cluster analysis on the storage information obtained to generate a target storage strategy for vehicle parts, and then storing the vehicle parts according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, and finally determining the target floor space corresponding to the vehicle parts based on the initial floor space. Considering that after obtaining storage information for characterizing parameters required in the process of storing vehicle parts, the storage information can be clustered and analyzed to obtain a target storage strategy, and then the vehicle parts are first stored according to the target storage strategy to obtain an initial floor space for directly storing the vehicle parts. Based on the initial floor space, the target floor space required for the vehicle parts within the preset planning period can be determined, thereby solving the technical problem of low accuracy in determining the floor space of vehicle parts and achieving the technical effect of improving the accuracy in determining the floor space of vehicle parts.

[0090] In this embodiment of the present invention, it is necessary to first obtain the attribute information, business demand information, and facility parameter information of vehicle parts, and then use the K-means clustering algorithm to perform cluster analysis on the attribute information, business demand information, and facility parameter information to obtain four storage types. Then, based on the four storage types, the target area occupied by vehicle parts is obtained. The steps for implementing the above process are as follows:

[0091] Step 1: Obtain the attribute information, business demand information, and facility parameter information of vehicle parts, where the attribute information may include dimensions (e.g., length × width × height), weight, packaging unit (e.g., pallet, carton, or special container), storage level (e.g., ordinary, constant temperature, or explosion-proof), and average monthly turnover rate (inbound frequency or outbound frequency). Furthermore, the storage level can be represented by the storage space occupancy coefficient, where the storage space occupancy coefficient can be called the storage level correction coefficient. For example, when the storage level is ordinary storage, it can be represented by 1. When the storage level is constant temperature storage, it can be represented by 1.2. When the storage level is explosion-proof storage, it can be represented by 1.5.

[0092] Optionally, business demand information may include: maximum logistics volume in a fixed time period, transport vehicle type (7.6-meter truck), number of unloading ports, and target service cycle (e.g., planning period of 5-10 years). Facility parameter information includes: shelf type (e.g., light shelf, high shelf, or automated stereoscopic warehouse), channel width (e.g., main channel 3 to 4 meters, and secondary channel 2 to 3 meters), and number of stacking layers. Further, the shelf type can be represented by the shelf space occupancy coefficient. For example, when the shelf type is a light shelf, it can be represented by 1.2. When the shelf type is a high shelf, it can be represented by 1. When the shelf type is an automated stereoscopic warehouse, it can be represented by 0.9.

[0093] Step 2: Use the K-means clustering algorithm to perform cluster analysis on attribute information, business demand information, and facility parameter information to obtain four types of storage.

[0094] Optionally, the four storage types include: Class A, Class B, Class C, and Class D. When the relevant parameters in the storage information of the vehicle parts meet the following criteria, the storage type of the vehicle parts can be determined to be Class A: the volume of the vehicle parts is greater than or equal to 1 cubic meter (m 3 ), and the monthly turnover rate of the vehicle parts is greater than or equal to 15 times, then when storing the above-mentioned vehicle parts, the vehicle parts can be placed near the entrance and exit of the warehouse. From the above, it can be seen that Class A is mainly used to store large and high-frequency vehicle parts.

[0095] Alternatively, the storage type for a vehicle part can be determined to be Class B if the relevant parameters in the vehicle part's storage information meet the following criteria: the volume of the vehicle part is between 0.1 cubic meter and 1 cubic meter, and the vehicle part's storage level is ordinary storage, i.e., conventional storage. As can be seen above, Class B is primarily used to store medium-sized, ordinary vehicle parts.

[0096] Optionally, the storage type for a vehicle part can be determined to be Class C if the relevant parameters in the vehicle part's storage information meet the following criteria: the volume of the vehicle part is less than 0.1 cubic meters, and the storage level is constant temperature storage or explosion-proof storage. As can be seen from the above, Class C is primarily used for storing small, delicate vehicle parts.

[0097] Alternatively, if the relevant parameters in the vehicle part storage information meet the following criteria, the storage type for the vehicle part can be determined to be Class D: the vehicle part weighs more than 500 kilograms. In this case, such heavy parts need to be stacked directly on the ground or placed on special shelves. Therefore, Class D is primarily used for storing oversized and overweight vehicle parts.

[0098] Step 3: Obtain the target area occupied by vehicle parts based on the four storage types. After obtaining the four storage types, the storage area of ​​vehicle parts can be determined based on the relevant parameters of the vehicle parts. The storage area can be expressed by the following formula:

[0099]

[0100] Among them, Q i Used to represent the average monthly storage volume of the i-th category of parts; K i Used to indicate the storage level correction factor (i.e., normal storage is 1, constant temperature storage is 1.2, and explosion-proof storage is 1.5); C i Used to indicate the stacking unit capacity of the shelf (e.g., it can be determined by the ratio of the capacity of each layer of the shelf to the maximum number of single stacks); S 单位 is the unit storage unit footprint of vehicle parts (e.g., it can be determined by the ratio between the shelf projected area and the single pile footprint); α is used to represent the channel coefficient (e.g., it can be a value between 0.3 and 0.8 depending on the shelf arrangement).

[0101] Optionally, when the operating equipment for storing vehicle parts is a forklift, the operating area of ​​the vehicle parts can be determined based on relevant parameters of the vehicle parts, wherein the operating area can be expressed by the following formula:

[0102]

[0103] Wherein, β is used to represent the redundancy coefficient (and its value can be between 1.2 and 1.5). 入 and Q 出 It is used to represent the maximum daily inbound and outbound volume. T is used to represent the hourly processing capacity of a single device. 设备 Used to indicate the operating area of ​​a single piece of equipment.

[0104] After obtaining the storage area and the operation area of ​​vehicle parts, the target expansion area can be determined based on the age correction factor and the category expansion factor. The above process can be expressed by the following formula:

[0105] S 扩展 =(S 存储 +S 作业 )×γ×δ

[0106] Among them, γ is used to represent the life correction coefficient, and is determined by the preset planning period. For example, when the preset planning period is 5 years, the life correction coefficient is 1.2. When the preset planning period is 10 years, the life correction coefficient is 1.5. δ is used to represent the category expansion coefficient, and can be determined by the proportion of newly added vehicle parts types. For example, for every 10% increase in the new vehicle parts category, the corresponding category expansion coefficient is 0.1. The sum of the expansion area, storage area and operation area area is determined as the target area, which can be expressed by the following formula: S 总 =S 存储 +S 作业 +S 扩展 .

[0107] In an embodiment of the present invention, the above process can be encapsulated into a measurement system, which includes: a data middle platform module for integrating Enterprise Resource Planning (ERP) or Manufacturing Execution System (MES) data interface, supporting file or interface data (Excel / API) import; an intelligent measurement module for a built-in clustering algorithm (K-means clustering) engine and a multi-factor weight calculator to output the area details of each area; a visualization module for previewing the warehouse layout, supporting real-time adjustment simulation of aisle width and shelf parameters; a report generation module: automatically outputting the distribution center area planning plan, which includes an investment budget and benefit analysis.

[0108] For example, the storage information of a battery pack is as follows: the storage type is Class A, the volume is 1.2m 3 , monthly turnover rate 20 times, and general storage. The storage information of the vehicle parts obtained is as follows: storage type is Class C, volume 0.05m 3 , constant temperature storage, monthly turnover rate of 10 times. At this time, the business parameters corresponding to vehicle parts are: maximum daily warehousing volume of 500 pieces (e.g., 200 battery packs + 300 electronic control units), planning period of 8 years, and expected annual production capacity growth of 12%. After clustering analysis of different vehicle parts, it can be determined that battery packs are Class A (e.g., high-frequency large parts) and are stored on heavy-duty shelves (e.g., 2 pieces per layer, shelf size of 2.5m×1.5m). In addition, electronic control units are Class C (e.g., precision parts) and are stored on constant temperature shelves (e.g., 10 pieces per layer, shelf size of 1.2m×1.0m, storage level correction factor of 1.2). Further, the storage area of ​​the battery pack can be calculated by S 电池包When the unit area is 1 and the channel coefficient is 0.5, the storage area of ​​the battery pack can be calculated using the following formula:

[0109]

[0110] Among them, the storage area of ​​the electronic control unit can be calculated by S 电控 When the unit floor area is 1 and the channel coefficient is 0.6, the storage area of ​​the electronic control unit can be calculated by the following formula:

[0111]

[0112] Optionally, a forklift is used to store vehicle parts, and the forklift's processing capacity is 50 pieces per hour, and the operating area of ​​a single forklift is 20m 2 When the redundancy coefficient is 1.3, the operating area S of vehicle parts can be obtained by the following formula: 作业 :

[0113]

[0114] Therefore, when using a forklift to store vehicle parts, the available working area is 260 square meters. When the annual correction coefficient γ is 1.4 and the category expansion coefficient δ is 0.2, according to the example in the above steps, the storage area S of the battery pack can be obtained. 电池包 The storage area of ​​the electronic control unit is 562.5 square meters. 电控 The operating area is 69.12 square meters. 作业 If the area is 260 square meters, the expansion area can be obtained as follows:

[0115] S 扩展 =(562.5+69.12+260)×1.4×0.2=249.65m 2

[0116] From the above, we can know that the expansion area of ​​the battery pack and the electronic control unit is 249.65 square meters. According to the formula S 总 =S 存储 +S 作业 +S 扩展 , the target floor space for the battery pack and electronic control unit is 1141.27 square meters.

[0117] In an embodiment of the present invention, by importing vehicle parts data, the intelligent measurement module can be used to output the area details of each area within 30 minutes, the visualization module can be used to display the shelf layout and channel planning, and the report generation module can be used to output the investment budget (such as equipment procurement + infrastructure cost) and 5-year predicted benefits.

[0118] In an embodiment of the present invention, storage information of vehicle parts is first obtained, and then cluster analysis is performed on the storage information obtained above to generate a target storage strategy for vehicle parts. Then, the vehicle parts are stored according to the target storage strategy to obtain the initial occupied area corresponding to the vehicle parts. Finally, based on the initial occupied area, the target occupied area corresponding to the vehicle parts is determined. Considering that after obtaining the storage information for characterizing the parameters required in the process of storing vehicle parts, the storage information can be clustered and analyzed to obtain the target storage strategy, and then the vehicle parts are first stored according to the target storage strategy to obtain the initial occupied area for directly storing the vehicle parts. Based on the initial occupied area, the target occupied area required for the vehicle parts within the preset planning period can be determined, thereby solving the technical problem of low accuracy in determining the occupied area of ​​vehicle parts and achieving the technical effect of improving the accuracy in determining the occupied area of ​​vehicle parts.

[0119] According to an embodiment of the present invention, a device for determining the footprint of a vehicle component is also provided. It should be noted that the device for determining the footprint of a vehicle component can be used to execute the method for determining the footprint of a vehicle component in the above embodiment.

[0120] Figure 2 is a schematic diagram of a device for determining the footprint of a vehicle component according to an embodiment of the present invention. Figure 2 As shown, the device 200 for determining the footprint of a vehicle component may include: a first acquiring unit 201 , a generating unit 202 , a second acquiring unit 203 and a determining unit 204 .

[0121] The first acquiring unit 201 is configured to acquire storage information of vehicle parts, wherein the storage information is used to represent parameters required in the process of storing vehicle parts.

[0122] The generating unit 202 is configured to perform cluster analysis on the stored information and generate a target storage strategy for vehicle parts, wherein the target storage strategy is used to represent a rule for storing vehicle parts.

[0123] The second acquisition unit 203 is configured to store the vehicle parts according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, wherein the initial floor space is used to represent the area occupied by storing the vehicle parts in the vehicle parts warehouse.

[0124] The determination unit 204 is configured to determine a target floor space of the vehicle component based on the initial floor space, wherein the target floor space is greater than the initial floor space.

[0125] Optionally, the generation unit 202 includes: a first acquisition module, used to perform cluster analysis on the storage information to obtain the storage type of vehicle parts, wherein the storage type is used to characterize the storage method of vehicle parts in the warehouse; and a first determination module, used to determine the target storage strategy based on the storage type.

[0126] Optionally, the second acquisition unit 203 includes: a second acquisition module, used to obtain the target storage quantity of vehicle parts and the channel coefficient of vehicle parts, wherein the channel coefficient is used to characterize the degree of influence of the channel space of the internal channel in the warehouse on the storage of vehicle parts; a second determination module, used to store vehicle parts according to the target storage strategy based on the target storage quantity, channel coefficient and storage information, and determine the initial floor space.

[0127] Optionally, the determination unit 204 includes: a third acquisition module, used to obtain the redundancy coefficient of vehicle parts, the target operating volume of the target operating equipment of the vehicle parts, and the target operating area of ​​the target operating equipment, wherein the redundancy coefficient is used to characterize the reserved space required for storing vehicle parts using the target operating equipment, the target operating equipment is the storage and processing equipment required for storing vehicle parts, and the target operating volume is the processing volume of vehicle parts stored by the target operating equipment per hour; a third determination module, used to determine the operating area of ​​the vehicle parts based on the redundancy coefficient, the target operating volume, the target operating area, and the target input and output volume of storage information, wherein the operating area area is used to characterize the size of the operating area required in the process of storing vehicle parts; a fourth determination module, used to determine the target occupied area based on the initial occupied area and the operating area area.

[0128] Optionally, the fourth determination module includes: an acquisition submodule, used to obtain the age correction coefficient of vehicle parts and the category expansion coefficient of vehicle parts, wherein the age correction coefficient is used to characterize the area demand of vehicle parts for warehouses within the preset planning period, and the category expansion coefficient is used to characterize the area demand of newly added vehicle parts types for warehouses within the preset planning period; a first determination submodule, used to determine the target expansion area of ​​vehicle parts based on the age correction coefficient, the category expansion coefficient, the initial floor area and the operating area area, wherein the target expansion area is used to characterize the size of the expansion area required to store vehicle parts within the preset planning period; a second determination submodule, used to determine the target floor area based on the initial floor area, the operating area area and the target expansion area.

[0129] Optionally, the first determination submodule is further used to: sum the initial occupied area and the operating area to obtain a target sum value; and determine the target expansion area based on the target sum value, the age correction coefficient and the category expansion coefficient.

[0130] Optionally, the second determining submodule is further configured to determine the target occupied area as the sum of the initial occupied area, the operating area area and the target expansion area.

[0131] In an embodiment of the present invention, storage information of vehicle parts is acquired by a first acquisition unit 201, wherein the storage information is used to characterize parameters required in the process of storing vehicle parts; a generation unit 202 performs cluster analysis on the storage information to generate a target storage strategy for vehicle parts, wherein the target storage strategy is used to characterize rules for storing vehicle parts; a second acquisition unit 203 stores vehicle parts according to the target storage strategy to obtain an initial floor space corresponding to the vehicle parts, wherein the initial floor space is used to characterize the area occupied by storing vehicle parts in a vehicle parts warehouse; a determination unit 204 determines a target floor space for the vehicle parts based on the initial floor space, wherein the target floor space is greater than the initial floor space, thereby solving the technical problem of low accuracy in determining the floor space of vehicle parts and achieving the technical effect of improving the accuracy in determining the floor space of vehicle parts.

[0132] According to an embodiment of the present invention, a processor is further provided, which is used to run a program, wherein when the program is run, the method for determining the footprint of vehicle parts in the above embodiment is executed.

[0133] Optionally, the processor is also used to perform cluster analysis on the storage information to generate a target storage strategy for vehicle parts, including: performing cluster analysis on the storage information to obtain the storage type of vehicle parts, wherein the storage type is used to characterize the storage method of vehicle parts in the warehouse; and determining the target storage strategy based on the storage type.

[0134] Optionally, the processor is also used to store vehicle parts according to a target storage strategy to obtain an initial floor space corresponding to the vehicle parts, including: obtaining a target storage quantity of vehicle parts and a channel coefficient of vehicle parts, wherein the channel coefficient is used to characterize the degree of influence of the channel space of an internal channel in a warehouse on the storage of vehicle parts; based on the target storage quantity, the channel coefficient and the storage information, the vehicle parts are stored according to the target storage strategy to determine the initial floor space.

[0135] Optionally, the processor is also used to determine the target occupied area corresponding to the vehicle parts based on the initial occupied area, including: obtaining the redundancy coefficient of the vehicle parts, the target operating volume of the target operating equipment of the vehicle parts, and the target operating area of ​​the target operating equipment, wherein the redundancy coefficient is used to characterize the reserved space required for storing vehicle parts using the target operating equipment, the target operating equipment is the storage and processing equipment required for storing vehicle parts, and the target operating volume is the processing volume of vehicle parts stored by the target operating equipment per hour; based on the redundancy coefficient, the target operating volume, the target operating area, and the target input and output volume of storage information, determine the operating area area of ​​the vehicle parts, wherein the operating area area is used to characterize the size of the operating area required in the process of storing vehicle parts; determine the target occupied area based on the initial occupied area and the operating area area.

[0136] Optionally, the processor is also used to determine the target floor area based on the initial floor area and the operating area area, including: obtaining the age correction coefficient of vehicle parts and the category expansion coefficient of vehicle parts, wherein the age correction coefficient is used to characterize the area demand degree of the warehouse for vehicle parts within the preset planning period, and the category expansion coefficient is used to characterize the area demand degree of the warehouse for newly added vehicle parts types within the preset planning period; based on the age correction coefficient, the category expansion coefficient, the initial floor area and the operating area area, determining the target expansion area of ​​the vehicle parts, wherein the target expansion area is used to characterize the size of the expansion area required to store vehicle parts within the preset planning period; determining the target floor area based on the initial floor area, the operating area area and the target expansion area.

[0137] Optionally, the processor is also used to determine the target expansion area of ​​vehicle parts based on the age correction coefficient, category expansion coefficient, initial floor area and operating area area, including: summing the initial floor area and the operating area area to obtain a target sum value; determining the target expansion area based on the target sum value, age correction coefficient and category expansion coefficient.

[0138] Optionally, the processor is further configured to determine a target floor area based on the initial floor area, the operating area area and the target expansion area, including determining the sum of the initial floor area, the operating area area and the target expansion area as the target floor area.

[0139] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The storage medium includes a stored program, wherein the program executes the method for determining the footprint of vehicle parts in the above embodiment.

[0140] According to an embodiment of the present invention, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the method for determining the footprint of vehicle parts according to an embodiment of the present invention.

[0141] The embodiment of the present application further provides a computer program product. Optionally, in this embodiment, the computer program product may include a computer program that, when executed by a processor, implements the method for determining the footprint of vehicle parts according to the embodiment of the present application.

[0142] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0143] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0144] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0145] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0146] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program code.

[0147] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for determining the floor space occupied by vehicle parts, characterized in that: include: Acquiring storage information of vehicle parts, wherein the storage information is used to represent parameters required in a process of storing the vehicle parts; Performing cluster analysis on the storage information to generate a target storage strategy for the vehicle parts, wherein the target storage strategy is used to represent a rule for storing the vehicle parts; The vehicle parts are stored according to the target storage strategy to obtain an initial occupied area corresponding to the vehicle parts, wherein the initial occupied area is used to represent the area occupied by storing the vehicle parts in the vehicle parts warehouse; Based on the initial floor area, a target floor area corresponding to the vehicle component is determined, wherein the target floor area is larger than the initial floor area.

2. The method according to claim 1, characterized in that Performing cluster analysis on the storage information to generate a target storage strategy for the vehicle parts includes: Performing cluster analysis on the storage information to obtain storage types of the vehicle parts, wherein the storage types are used to characterize the storage methods of the vehicle parts in the warehouse; Based on the storage type, the target storage policy is determined.

3. The method according to claim 1, characterized in that The vehicle parts are stored according to the target storage strategy to obtain the initial occupied areas corresponding to the vehicle parts, including: Obtaining a target storage volume of the vehicle parts and a channel coefficient of the vehicle parts, wherein the channel coefficient is used to represent the degree of influence of the channel space of the internal channel in the warehouse on the storage of the vehicle parts; Based on the target storage volume, the channel coefficient and the storage information, the vehicle parts are stored according to the target storage strategy to determine the initial occupied area.

4. The method according to claim 1, wherein Determining a target floor space corresponding to the vehicle component based on the initial floor space includes: Obtaining a redundancy coefficient of the vehicle parts, a target operating volume of a target operating device for the vehicle parts, and a target operating area of ​​the target operating device, wherein the redundancy coefficient is used to characterize the reserved space required for storing the vehicle parts using the target operating device, the target operating device is a storage and processing device required for storing the vehicle parts, and the target operating volume is the processing volume of the vehicle parts stored by the target operating device per hour; Determining an area of ​​a working region for the vehicle parts based on the redundancy coefficient, the target work volume, the target work area, and the target input and output volume of the storage information, wherein the area of ​​the working region is used to represent a size of a working region required for storing the vehicle parts; The target occupied area is determined based on the initial occupied area and the area of ​​the working area.

5. The method according to claim 4, characterized in that Determining the target area based on the initial area and the area of ​​the operating area includes: Obtaining an age correction factor for the vehicle parts and a category expansion factor for the vehicle parts, wherein the age correction factor is used to represent the extent to which the vehicle parts require area for the warehouse within a preset planning period, and the category expansion factor is used to represent the extent to which the newly added vehicle parts types require area for the warehouse within the preset planning period; Determining a target expansion area for the vehicle parts based on the life correction coefficient, the category expansion coefficient, the initial occupied area, and the area of ​​the operation area, wherein the target expansion area is used to represent the size of the expansion area required to store the vehicle parts within the preset planning life; The target occupied area is determined based on the initial occupied area, the work area area and the target expansion area.

6. The method according to claim 5, characterized in that Determining a target expansion area of ​​the vehicle parts based on the age correction factor, the category expansion factor, the initial occupied area, and the area of ​​the operating area includes: Performing a sum operation on the initial occupied area and the area of ​​the operating area to obtain a target sum value; The target expansion area is determined based on the target and value, the age correction factor and the category expansion factor.

7. The method according to claim 5, characterized in that Determining the target occupied area based on the initial occupied area, the operating area area, and the target expansion area includes: The sum of the initial occupied area, the operating area area and the target expansion area is determined as the target occupied area.

8. A device for determining the footprint of a vehicle component, characterized in that: include: a first acquiring unit, configured to acquire storage information of vehicle parts, wherein the storage information is used to represent parameters required in a process of storing the vehicle parts; a generating unit, configured to perform cluster analysis on the stored information to generate a target storage strategy for the vehicle parts, wherein the target storage strategy is used to represent a rule for storing the vehicle parts; a second acquiring unit, configured to store the vehicle parts according to the target storage strategy to obtain an initial occupied area corresponding to the vehicle parts, wherein the initial occupied area is used to represent an area occupied by storing the vehicle parts in the vehicle parts warehouse; A determination unit is configured to determine a target floor space of the vehicle component based on the initial floor space, wherein the target floor space is larger than the initial floor space.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for determining the footprint of a vehicle component according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the method for determining the footprint of a vehicle component according to any one of claims 1 to 7.

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