A warehouse storage location allocation method and device based on material cold and hot degree and a medium thereof

Abstract

The application discloses a warehouse storage space allocation method and device based on material cold and hot degree and a medium thereof, relates to the warehouse technology field, and is used for allocating storage spaces for materials, aims at the problems that the current allocation strategy may cause unbalanced picking operation load and does not consider the importance of materials, and provides a warehouse storage space allocation method based on material cold and hot degree. The COI index of each material is determined according to historical order data, the COI index is converted into material cold and hot degree, the material cold and hot degree level obtained above is adjusted through a behavior tree model, the newly obtained material cold and hot degree can not only reflect the turnover rate of the material, but also reflect the importance of the material to a certain extent, so that the turnover rate and importance of the material are considered when the material cold and hot degree is finally used as the material to allocate the storage space, the warehouse storage space allocation is more reasonable, the materials with high material turnover rate are not excessively concentrated in the vicinity of the outlet, and traffic congestion in local areas is alleviated.

Description

Technical Field

[0001] This application relates to the field of warehousing technology, and in particular to a method, apparatus and medium for warehouse storage location allocation based on the temperature of materials. Background Technology

[0002] With the rapid development of e-commerce and discrete manufacturing, higher demands are being placed on the operational efficiency, operating costs, and management level of warehouse logistics systems. Today, an increasing number of warehouse logistics systems are utilizing unmanned robots and leveraging technologies such as industrial big data and the Industrial Internet of Things (IIoT) for material handling. To improve the operational efficiency of warehouse logistics systems and reduce logistics costs, effective storage location allocation strategies are needed to assign appropriate storage areas to materials of different categories and attributes during material receiving management. Existing storage location allocation strategies primarily rely on indicators such as the Cube-Per-Order Index (COI), which reflects material turnover rate. These strategies aim to allocate storage locations closer to the exit for materials with high turnover rates, thereby shortening handling distances and improving material handling efficiency.

[0003] However, the current storage location allocation strategy is prone to problems such as uneven picking load, traffic congestion of transport vehicles in local areas, and safety hazards caused by concentrated operations. At the same time, it cannot allocate reasonable storage locations for materials with low turnover but high importance and priority, and is still insufficient in the operation and management of warehouse logistics system.

[0004] Therefore, those skilled in the art urgently need a warehouse storage location allocation method based on the temperature of materials to solve problems such as uneven picking workload and failure to consider the importance of materials in the current allocation strategy. Summary of the Invention

[0005] The purpose of this application is to provide a warehouse storage location allocation method, device and medium based on the temperature of materials, to solve problems such as uneven picking load and traffic congestion of transport vehicles in local areas that may be caused by the current allocation strategy.

[0006] To address the aforementioned technical problems, this application provides a warehouse storage location allocation method based on the material's temperature (hot or cold), comprising:

[0007] Receive material receipt requests; the material receipt request includes the material type and material importance;

[0008] Determine the order volume index of the materials requested for inbound storage based on historical order data;

[0009] According to preset rules, the order volume index is converted into the material temperature rating.

[0010] The behavior tree model is used to adjust the material's popularity level based on material type and importance to obtain a new popularity level. The behavior tree model is pre-modeled based on actual business data and warehouse management rules.

[0011] Based on the new material temperature rating and the pre-set temperature rating of each shelf, storage locations are allocated to materials requesting inbound storage.

[0012] Preferably, according to preset rules, the conversion of order volume index into material temperature rating includes:

[0013] Sort all materials from largest to smallest based on their order volume index value;

[0014] Divide the material into sequence intervals with the same number of temperature ratings, and determine the temperature rating of the material based on the sequence interval to which it belongs.

[0015] Preferably, the material receiving request also includes the fragility of the material;

[0016] Accordingly, this method also includes:

[0017] By using a behavior tree model, the material's temperature rating is adjusted based on its fragility to obtain a new temperature rating.

[0018] Preferably, the material receiving request also includes the material's perishability;

[0019] Accordingly, this method also includes:

[0020] By using a behavior tree model, the material's temperature rating is adjusted based on its corrosivity to obtain a new temperature rating.

[0021] Preferably, the material receiving request also includes the material weight;

[0022] Accordingly, this method also includes:

[0023] Using a behavior tree model, the rules for placing materials in the warehouse are determined based on the weight of the materials. The specific rules for placing materials in the warehouse are the storage height of the materials in the warehouse.

[0024] Preferably, the order volume index for the current material type is determined based on historical order data, including:

[0025] Retrieve historical order data within a specific time period;

[0026] Based on historical order data, the order volume index for the current material type is determined using the first, second, and third formulas.

[0027] The first formula is:

[0028] COI = V / F

[0029] COI is the order volume index, V is the unit storage volume occupied by the current material type, and F is the turnover rate of the current material type within a specific time period.

[0030] The second formula is:

[0031] F = R / C

[0032] R represents the outbound quantity of the current material type within a specific time period, and C represents the average inventory quantity of the current material type within a specific time period.

[0033] The third formula is:

[0034] C = (C0 + C) T ) / 2

[0035] C0 represents the inventory level of the current material type at the beginning of a specific time period. T This represents the current inventory level of a particular material type at the end of a specific time period.

[0036] Preferably, the number of material temperature ratings and shelf temperature ratings are the same, and there is a one-to-one correspondence between ratings. Based on the material temperature rating and the pre-set shelf temperature ratings for each shelf, storage locations are allocated to the current material receiving request, including:

[0037] Determine the shelf temperature rating that matches the temperature rating of the material requested for warehousing;

[0038] Determine the appropriate shelf based on the shelf's temperature rating;

[0039] The storage height of the requested material on the shelf is determined based on the material weight.

[0040] To address the aforementioned technical problems, this application also provides a warehouse storage location allocation device based on the temperature of materials, comprising:

[0041] The receiving module is used to receive material entry requests; the material entry request includes the material type and the material importance.

[0042] The determination module is used to determine the order volume index of the materials requested for inbound storage based on historical order data;

[0043] The conversion module is used to convert the order volume index into the material temperature rating according to preset rules;

[0044] The adjustment module is used to adjust the material's popularity level based on material type and importance using a behavior tree model to obtain a new material popularity level. The behavior tree model is pre-modeled based on actual business data and warehouse management rules.

[0045] The allocation module is used to allocate storage locations to materials requesting inbound storage based on the new material temperature rating and the pre-set temperature rating of each shelf.

[0046] Preferred options also include:

[0047] The fragileity adjustment module, when the material receiving request also includes material fragileity, is used to adjust the material's temperature rating based on the material's fragileness using a behavior tree model to obtain a new material temperature rating.

[0048] The corrosivity adjustment module is used to adjust the material's temperature based on its corrosivity using a behavior tree model when the material warehousing request also includes the material's corrosivity, in order to obtain a new material temperature level.

[0049] The shelving rules module is used to determine the shelving rules for the requested materials based on the material weight using a behavior tree model when the material inbound request also includes the material weight. The shelving rules specifically define the storage height of the requested materials on the shelf.

[0050] To address the aforementioned technical problems, this application also provides a warehouse storage location allocation device based on the temperature of materials, comprising:

[0051] Memory, used to store computer programs;

[0052] A processor is used to execute computer programs to implement the steps of the warehouse location allocation method based on the material's temperature and heat, as described above.

[0053] To address the aforementioned technical problems, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the warehouse storage location allocation method based on the material's temperature and heat as described above.

[0054] This application provides a warehouse storage location allocation method based on material temperature / coldness. It determines the COI (Coefficient of Interest) index for each material based on historical order data and converts the COI index into different levels of material temperature / coldness to reflect material turnover rate. When allocating storage locations based on material temperature / coldness, materials with high turnover rates can be allocated storage locations closer to the exit, meeting warehouse management needs. Furthermore, this method models the behavior of allocating different storage locations based on material importance in actual production to meet warehouse management requirements, obtaining a behavior tree model. This behavior tree model is then used to adjust the obtained material temperature / coldness, ensuring that the newly obtained material temperature / coldness not only reflects material turnover rate but also, to some extent, material importance. This makes the final allocation of storage locations based on material temperature / coldness balance both material turnover rate and importance, resulting in a more rational warehouse storage location allocation that takes into account the importance requirements of the materials. Furthermore, by introducing a storage location allocation based on importance, storage locations closer to the exit are not only allocated to materials with high turnover rates. Materials with low turnover rates but high importance can also be allocated to storage locations closer to the exit. This prevents materials with high turnover rates from being too concentrated near the exit, which helps alleviate traffic congestion in local areas, better meets actual business needs, and promotes efficient warehouse operations.

[0055] The warehouse storage location allocation device based on the temperature of materials and the computer-readable storage medium provided in this application correspond to the above method and have the same effect. Attached Figure Description

[0056] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 A flowchart of a warehouse storage location allocation method based on the temperature of materials provided by the present invention;

[0058] Figure 2 A distribution diagram of the temperature of a shelf provided by the present invention;

[0059] Figure 3 A flowchart of another warehouse storage location allocation method based on the temperature of materials provided by the present invention;

[0060] Figure 4 A structural diagram of a behavior tree provided by the present invention;

[0061] Figure 5 A structural diagram of a warehouse storage location allocation device based on the temperature of materials provided by the present invention;

[0062] Figure 6 This invention provides a structural diagram of another warehouse storage location allocation device based on the temperature of materials. Detailed Implementation

[0063] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of this application.

[0064] The core of this application is to provide a warehouse storage location allocation method, device, and medium based on the temperature of materials.

[0065] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0066] Currently, when allocating warehouse storage locations, the strategy often involves calculating the COI value of each material within a specific time period based on historical order data, and then allocating storage locations closer to the exit to materials with higher COI values.

[0067] However, this material storage location allocation strategy inevitably brings two problems. First, some materials, although having a low material turnover rate, are of high importance. When these materials are needed, the time required for their handling should be minimized, meaning they need to be allocated storage locations closer to the exit. However, this cannot be achieved using the strategy of allocating storage locations based on COI values. Second, allocating material storage locations based on COI values ​​can place materials with high turnover rates in storage locations closer to the exit. However, it is easy to see that, relative to the entire warehouse, storage locations closer to the exit are always concentrated in one or a few areas. Since materials with high turnover rates mean that they are transported more frequently, concentrating them in the same area can easily cause local traffic congestion, which is not conducive to the healthy and efficient operation of material transportation.

[0068] To address the aforementioned problems, this embodiment provides a warehouse storage location allocation method based on the material's temperature (hot or cold). Figure 1 As shown, it includes:

[0069] S11: Receive material warehousing request.

[0070] The material receiving request includes, but is not limited to, information such as material type and material importance.

[0071] S12: Determine the order volume index of the material requested for warehousing based on historical order data.

[0072] The material requested for warehousing is the material corresponding to the current material warehousing request.

[0073] For the COI values ​​of each material, a preferred implementation scheme includes:

[0074] S121: Retrieve historical order data within a specific time period.

[0075] S122: Based on historical order data, determine the order volume index for the current material type using the first, second, and third formulas.

[0076] The first formula is:

[0077] COI = V / F

[0078] COI is the order volume index, V is the unit storage volume occupied by the current material type, and F is the turnover rate of the current material type within a specific time period.

[0079] The second formula is:

[0080] F = R / C

[0081] R represents the outbound quantity of the current material type within a specific time period, and C represents the average inventory quantity of the current material type within a specific time period.

[0082] The third formula is:

[0083] C = (C0 + C) T ) / 2

[0084] C0 represents the inventory level of the current material type at the beginning of a specific time period. T This represents the current inventory level of a particular material type at the end of a specific time period.

[0085] It should be noted that, in this application, C represents the average inventory level of materials over a period of time, which better reflects the inventory situation of the warehouse over a period of time; while V represents the unit storage volume occupied by the materials. Since in actual warehousing operations, the storage resources occupied by materials and the storage costs incurred are mainly reflected in the storage facilities, the unit storage volume occupied by the materials in this application is more in line with the actual situation and more accurate than the volume of the materials themselves; as for R in this application, it refers to the actual outbound volume of materials over a period of time, which truly reflects the current outbound situation of the warehouse, and therefore has good stability.

[0086] S13: Convert the order volume index into the material temperature rating according to preset rules.

[0087] In one possible implementation, the preset rule is:

[0088] S131: Sort all materials from largest to smallest based on the order volume index value.

[0089] S132: Divide the material into sequence intervals with the same number of material temperature ratings, and determine the material temperature rating based on the sequence interval to which the material belongs.

[0090] More specifically, the COI values ​​of each material calculated in step S12 are sorted from largest to smallest. The COI value of each material is within the sequence interval (0, 100%). The smaller the COI value, the further back it is in the sequence interval, the higher the corresponding material's temperature level, and the closer the allocated storage location is to the outlet.

[0091] For example, if the material's temperature rating is set to five levels (1-5), then the relationship between the material's temperature rating and the sequence interval of the COI value is as follows:

[0092] Material temperature rating: 1 to (0, 20%);

[0093] Material temperature rating: 2 to (20%, 40%);

[0094] Material temperature rating: 3 to (40%, 60%);

[0095] Material temperature rating: 4 to (60%, 80%);

[0096] Material temperature rating: 5 (80%, 100%).

[0097] The material temperature determined by the above steps reflects the current material turnover rate, represented by levels 1-5. Higher levels allocate storage locations closer to the outlet. However, the material's importance has not yet been considered; further steps are required.

[0098] S14: Using a behavior tree model, adjust the material's temperature rating based on material type and importance to obtain a new material temperature rating.

[0099] Among them, the behavior tree model is pre-modeled based on actual business data and warehouse management rules.

[0100] Behavior tree models are hierarchical tree models used to model behavior, commonly used in multi-agent system development and robot control. A behavior tree model mainly consists of nodes and branches of different categories, and its working logic is to execute each node from top to bottom according to the hierarchical structure. Commonly used nodes include selection nodes, sequence nodes, action nodes, and condition nodes. Sequential nodes execute all their child nodes sequentially until all child nodes return success or one child node returns failure; selection nodes execute all their child nodes sequentially until all child nodes return failure or one child node returns success; condition nodes perform conditional judgments on the current state and return success or failure based on the judgment result; action nodes execute a specific action.

[0101] By using a behavior tree model, the material's temperature and humidity levels are appropriately adjusted to obtain the final material temperature and humidity level and shelving rules. Simultaneously, the decision-making knowledge base based on the behavior tree model can be continuously adjusted and supplemented according to management requirements and accumulated experience.

[0102] Agent: Refers to a software or hardware entity that can act autonomously. It is usually translated as "agent" or "smart agent."

[0103] For example, in the warehousing process of a car manufacturing assembly workshop, if a material with a temperature rating of 3 is to be stored, and its importance is high (e.g., the material is an engine), in order to ensure that it can be quickly removed from the warehouse and thus not affect the production process, its temperature rating is increased, for example, to 4. If it is a commonly used standard part such as a bolt or nut (i.e., the material is less important), in order to avoid occupying the storage space of other materials, its temperature rating is decreased, for example, to 2. This achieves the redetering of the temperature rating of the material based on its importance, so that the final determined temperature rating of the material takes into account both the material turnover rate and the importance of the material.

[0104] S15: Allocate storage locations for material receiving requests based on the material's temperature rating and the pre-set temperature ratings for each shelf.

[0105] Similar to the example above, the material temperature rating is divided into 5 levels from low to high, and a pre-set shelf temperature distribution map is shown below. Figure 2 As shown, assuming the warehouse is represented by an 11*14 grid map, numbered grids represent allocable storage locations, while unnumbered grids represent material transport channels. Figure 2In the diagram, storage locations 1-20 are areas with a shelf temperature rating of 1, storage locations 21-40 are areas with a shelf temperature rating of 2, storage locations 41-60 are areas with a shelf temperature rating of 3, storage locations 61-80 are areas with a shelf temperature rating of 4, and storage locations 81-100 are areas with a shelf temperature rating of 5.

[0106] Based on the material temperature determined in the above steps, a corresponding storage location is assigned to the material. For example, if the temperature of a certain material is determined to be 3, then in the area of ​​the shelf with a temperature of 3, an unassigned storage location is randomly selected to store the material.

[0107] It should be noted that, Figure 2 A numbered area represents a storage area (e.g., a multi-layer shelf) but does not mean that a numbered area can only store one type of material. After allocating storage areas for materials, more specific storage locations can be determined according to other shelving rules (e.g., allocated to the 3rd layer of shelf number 46). This embodiment does not impose any restrictions on this.

[0108] This application provides a warehouse storage location allocation method based on material temperature / coldness. In addition to calculating the material's COI value, it also incorporates material importance to jointly determine the material's temperature / coldness level. Then, based on a pre-determined shelf temperature / coldness distribution, storage locations corresponding to each level are allocated, thus completing one material storage location allocation process. Because the temperature / coldness level determined by this method considers both material turnover rate and material importance, it avoids the current problem where a low turnover rate for a particular important material results in a storage location far from the exit, leading to long transportation times when retrieval is needed. Furthermore, the strategy of incorporating material importance into storage location allocation ensures a more even distribution of storage locations for materials with different turnover rates, reducing localized traffic congestion caused by high-turnover materials being concentrated in the same area, and further improving the efficiency of material storage operations.

[0109] As can be seen from the above embodiments, the decision knowledge base composed of behavior tree models is an important factor affecting the rationality of the warehouse storage location allocation method based on material temperature and humidity provided in this application. The behavior tree model is pre-modeled based on actual business data and warehouse management requirements. Considering that in actual applications, in addition to the importance of materials, there are many different warehouse management requirements, this embodiment provides the following preferred solution to further explain the behavior tree model:

[0110] This embodiment provides a preferred implementation: the aforementioned material receiving request also includes material fragility; correspondingly, the aforementioned method also includes:

[0111] S16: Using a behavior tree model, adjust the material's temperature rating based on its fragility to obtain a new temperature rating.

[0112] It is easy to understand that the behavior tree model in this preferred embodiment should have relevant behaviors pre-established based on the fragility of the material, such as... Figure 4 As shown, there is a condition node "Is it a fragile material?", and if so, the corresponding action node is "Hotness +1". This is achieved through... Figure 4 The behavior tree model shown can adjust the material's temperature level based on its importance (condition nodes "Is it an important material?", "Is it a frequently used material?", and its corresponding action nodes), and can also adjust the material's temperature level based on its fragility. When the material is fragile, the material's temperature level is increased by 1, and it is assigned a storage location closer to the outlet to prevent it from breaking during transportation; otherwise, it remains unchanged.

[0113] Similarly, this embodiment provides another preferred implementation: the aforementioned material warehousing request also includes the material's corrosiveness; correspondingly, the aforementioned method also includes:

[0114] S17: Using a behavior tree model, adjust the material's temperature rating based on its corrosivity to obtain a new temperature rating.

[0115] In this embodiment, the behavior tree model should also pre-establish a corresponding behavior model based on the material's corrosivity, such as... Figure 4 As shown, there is a condition node "Easily corrosive material?". If so, proceed to the corresponding action node "Hotness +1". That is, after passing through the behavior tree model, the hotness of the material will be adjusted according to the material's susceptibility to corrosion. When the material is easily corrosive, its hotness level is increased by 1, and it is assigned a storage location closer to the outlet to avoid corrosion during transportation. Otherwise, it remains unchanged.

[0116] Similarly, this embodiment also provides a preferred implementation: the aforementioned material receiving request further includes the material weight; correspondingly, the aforementioned method further includes:

[0117] S18: Using a behavior tree model, determine the rules for placing materials in the warehouse based on the material weight.

[0118] The specific rules for shelving can be the storage height of the requested materials on the shelves.

[0119] Similarly, the behavior tree model corresponding to this embodiment should also establish a corresponding behavior model based on the material weight. For example, such as Figure 4As shown, there is a condition node "Is it a heavy material?", corresponding to the action node "Store on the lower shelf", which is one type of shelving rule; there is also a condition node "Is it a light material?", corresponding to the action node "Store on the upper shelf", which is another type of shelving rule. Through the behavior tree model provided in this embodiment, the specific shelving rules for materials can be determined, and the storage locations of materials can be further divided.

[0120] Furthermore, a preferred embodiment of step S15 specifically includes:

[0121] S151: Determine the shelf temperature rating that is equivalent to the material temperature rating.

[0122] S152: Determine the corresponding shelving based on the shelving's temperature rating.

[0123] S153: Determine the storage height of the requested material on the shelf based on the material weight.

[0124] It should also be noted that the determination of whether a material is a heavier or lighter material can be based on a preset weight threshold. If the weight exceeds the threshold, it is determined to be a heavier material, and if it does not exceed the threshold, it is determined to be a lighter material. Similarly, the upper shelf can be a shelf that is evenly distributed in two parts, and when a material is allocated to the upper shelf, it can be any layer of the upper shelf, allocated by random rules (for cases where the shelf has more than two layers). This embodiment does not impose any restrictions on this.

[0125] It is readily apparent that, for implementations that divide material storage into shelf heights based on material weight, the above examples and Figure 4 This is just one possible example. In actual use, there are other implementation methods. For example, storage locations can be allocated based on the storage conditions of the materials. If materials need to be stored in a cool place, they can be allocated to storage locations further away from windows or other light sources in the corresponding temperature zone. Or, if materials need to be stored in a dry place, they can be allocated to storage locations closer to exhaust fans, ventilation vents, etc. The same applies to other requirements and shelving rules. Warehouse personnel can freely expand and update the behavior tree model according to actual needs to meet changing warehouse management requirements.

[0126] Furthermore, there is no sequential restriction between steps S16, S17, and S18 and step S14 provided in the above embodiments. They all involve readjusting the material's temperature rating or obtaining shelf-ready rules through a behavior tree model, so there is no requirement for their order. They can also be combined into a new step S19 to replace the original step S14, such as... Figure 3 As shown:

[0127] S19: Using a behavior tree model, adjust the material's temperature rating based on its importance, fragility, corrosivity, and weight to obtain new material temperature ratings and rules for placing materials requesting warehousing.

[0128] The specific rules for shelving are the storage height of the requested materials on the shelves.

[0129] The preferred solution provided in this embodiment introduces other parameters from actual warehouse management needs, such as material fragility, material corrosivity, and material weight. It uses a behavior tree model to readjust the material temperature rating and obtain the rules for placing materials in storage requests, thereby providing more suitable storage location allocation for materials and better adapting to the needs of actual warehouse management.

[0130] In the above embodiments, a warehouse storage location allocation method based on the temperature of materials has been described in detail. This application also provides an embodiment of a warehouse storage location allocation device based on the temperature of materials. It should be noted that this application describes the device embodiment from two perspectives: one is based on functional modules, and the other is based on hardware.

[0131] From the perspective of functional modules, this embodiment provides a warehouse storage location allocation device based on the temperature of materials, such as... Figure 5 As shown, it includes:

[0132] The receiving module 21 is used to receive material warehousing requests; wherein, the material warehousing request includes the material type and the material importance;

[0133] Module 22 is used to determine the order volume index of the material requesting warehousing based on historical order data;

[0134] The conversion module 23 is used to convert the order volume index into the material temperature rating according to preset rules;

[0135] Adjustment module 24 is used to adjust the material's hot / cold status level based on material type and material importance using a behavior tree model to obtain a new material hot / cold status level; the behavior tree model is pre-modeled based on actual business data and warehouse management rules;

[0136] The allocation module 25 is used to allocate storage locations to materials requesting entry into the warehouse based on the material's temperature rating and the pre-set temperature rating of each shelf.

[0137] Preferred options also include:

[0138] The fragileity adjustment module, when the material receiving request also includes material fragileity, is used to adjust the material's temperature rating based on the material's fragileness using a behavior tree model to obtain a new material temperature rating.

[0139] The corrosivity adjustment module is used to adjust the material's temperature based on its corrosivity using a behavior tree model when the material warehousing request also includes the material's corrosivity, in order to obtain a new material temperature level.

[0140] The shelving rules module is used to determine the shelving rules for the requested materials based on the material weight using a behavior tree model when the material inbound request also includes the material weight. The shelving rules specifically define the storage height of the requested materials on the shelf.

[0141] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0142] This embodiment provides a warehouse storage location allocation device based on material temperature / coldness. In addition to calculating the COI value of materials through a determining module, it also incorporates material importance through an adjusting module to jointly determine the material's temperature / coldness level. Then, according to a pre-determined shelf temperature / coldness distribution, the allocation module assigns storage locations corresponding to each material's temperature / coldness level, thus completing one material storage location allocation process. Because the determined material temperature / coldness level takes into account both material turnover rate and material importance, it avoids the current problem where a low turnover rate for a particular important material results in an allocated storage location far from the exit, leading to long transportation times when retrieval is needed. Furthermore, the strategy of incorporating material importance into storage location allocation ensures a more even distribution of storage locations for materials with different turnover rates, reducing traffic congestion caused by high-turnover materials being concentrated in the same area, and further improving the efficiency of material storage operations.

[0143] Figure 6 A structural diagram of a warehouse storage location allocation device based on the temperature of materials, as provided in another embodiment of this application, is shown below. Figure 6 As shown, a warehouse storage location allocation device based on the temperature of materials includes: a memory 30 for storing computer programs;

[0144] The processor 31 is used to execute a computer program to implement the steps of a warehouse storage location allocation method based on the material temperature as described in the above embodiment.

[0145] The warehouse storage location allocation device based on the temperature of materials provided in this embodiment can include, but is not limited to, smartphones, tablets, laptops, or desktop computers.

[0146] The processor 31 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 31 may be implemented using at least one of the following hardware forms: Digital Signal Processor (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 31 may also include a main processor and a coprocessor. The main processor, also known as the Central Processing Unit (CPU), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 31 may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 31 may also include an Artificial Intelligence (AI) processor, which is used to handle computational operations related to machine learning.

[0147] The memory 30 may include one or more computer-readable storage media, which may be non-transitory. The memory 30 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In this embodiment, the memory 30 is used to store at least the following computer program 301, which, after being loaded and executed by the processor 31, is capable of implementing the relevant steps of a warehouse storage location allocation method based on material temperature and humidity disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 30 may also include an operating system 302 and data 303, and the storage method may be temporary or permanent storage. The operating system 302 may include Windows, Unix, Linux, etc. The data 303 may include, but is not limited to, a warehouse storage location allocation method based on material temperature and humidity.

[0148] In some embodiments, a warehouse storage location allocation device based on the temperature of materials may further include a display screen 32, an input / output interface 33, a communication interface 34, a power supply 35, and a communication bus 36.

[0149] Those skilled in the art will understand that Figure 6 The structure shown does not constitute a limitation on a warehouse storage location allocation device based on the temperature of materials and may include more or fewer components than shown.

[0150] This application provides a warehouse storage location allocation device based on the temperature of materials, including a memory and a processor. When the processor executes the program stored in the memory, it can implement the following method: a warehouse storage location allocation method based on the temperature of materials.

[0151] This embodiment provides a warehouse storage location allocation device based on material temperature / coldness. A processor executes a computer program stored in memory to calculate the material's COI value and, in addition, incorporates material importance to determine the material's temperature / coldness level. Then, based on a pre-determined shelf temperature / coldness distribution, it allocates storage locations corresponding to each level, thus completing one material storage location allocation process. Because the determined material temperature / coldness level takes into account both material turnover rate and material importance, it avoids the problems currently encountered in storage location allocation. Furthermore, the strategy of incorporating material importance into storage location allocation results in a more even distribution of storage locations for materials with different turnover rates, reducing the risk of localized traffic congestion caused by high-turnover materials being concentrated in the same area, and further improving the efficiency of material storage operations.

[0152] Finally, this application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps described in the above method embodiments.

[0153] It is understood that if the methods in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, 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. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0154] This embodiment provides a computer-readable storage medium. When the computer program stored therein is executed, it can calculate the COI value of a material and, in addition to incorporating the material's importance, jointly determine the material's temperature / coldness level. Then, based on a pre-determined shelf temperature / coldness distribution, it allocates storage locations corresponding to the material's temperature / coldness level, thus completing a material storage location allocation process. Since the determined material temperature / coldness level takes into account both material turnover rate and material importance, it avoids the problems that currently occur during storage location allocation. Furthermore, the strategy of incorporating material importance into storage location allocation results in a more even distribution of storage locations for materials with different turnover rates, reducing the problem of localized traffic congestion caused by high-turnover materials being concentrated in the same area, further improving the efficiency of material storage operations.

[0155] The foregoing has provided a detailed description of a warehouse storage location allocation method, apparatus, and medium based on the temperature of materials, as provided in this application. The various embodiments in the specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0156] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A warehouse storage location allocation method based on material cold and hot degree, characterized in that, The method comprises the following steps: receiving a material storage request; wherein the material storage request comprises material category, material importance, material fragility, material corrosion resistance and material weight; obtaining historical order data in a specific time period; determining the order volume index of the current material category according to the historical order data through a first formula, a second formula and a third formula; wherein the first formula is: ； COI is the order volume index, V is the unit storage volume occupied by the current material category, and F is the turnover rate of the current material category in the specific time period; the second formula is: ； R is the quantity of the current material category in the specific time period, and C is the average inventory of the current material category in the specific time period; the third formula is: ； an inventory amount of the material kind at the beginning of the specific time period, an inventory amount of the material kind at the end of the specific time period; According to a preset rule, the order volume index is converted into a material cold and hot degree grade; adjusting the material cold and hot degree grade according to the material category, material importance, material fragility and material corrosion resistance through a behavior tree model to obtain a new material cold and hot degree grade; and determining the storage request material shelving rule according to the material weight through the behavior tree model; wherein the behavior tree model is obtained by modeling according to actual business data and warehouse management rules in advance; the shelving rule is the storage height of the storage request material in the shelf; the behavior tree model comprises a sequence node, a condition node and an action node; wherein the condition node: whether it is an important material, corresponding to the action node: cold and hot degree +1; the condition node: whether it is a commonly used material, corresponding to the action node: cold and hot degree-1; the condition node: whether it is a fragile material, corresponding to the action node: cold and hot degree+1; the condition node: whether it is a corrosion resistant material, corresponding to the action node: cold and hot degree+1; the condition node: whether it is a heavy material, corresponding to the action node: store in the lower layer of the shelf; the condition node: whether it is a light material, corresponding to the action node: store in the upper layer of the shelf; a group of the condition node and the action node corresponding to each other and between groups of the condition node and the action node are connected through the sequence node; According to the new material cold and hot degree grade and the shelf cold and hot degree grade set in advance for each shelf, the storage space for the storage request material is allocated.

2. The warehouse storage location assignment method based on material coldness and hotness according to claim 1, characterized in that, The method according to the preset rule, the order volume index is converted into a material cold and hot degree grade, which comprises: According to the order volume index value, all materials are sorted from large to small; Divide a sequence interval with the same number of material cold and hot degree grades, and determine the cold and hot degree grade of the material according to the sequence interval to which the material belongs.

3. The warehouse storage location assignment method based on material temperature according to claim 1, characterized in that, The number of the material cold and hot degree grade and the shelf cold and hot degree grade is the same, and the same grade corresponds one by one, and the method of allocating storage space for the storage request material according to the new material cold and hot degree grade and the shelf cold and hot degree grade set in advance for each shelf comprises: determining the shelf cold and hot degree grade of the same grade as the cold and hot degree grade of the storage request material; determining the corresponding shelf according to the shelf cold and hot degree grade; According to the weight of the material, the storage height of the material in the warehouse is determined.

4. A warehouse storage space allocation device based on material cold and hot degree, characterized in that, The method comprises the steps of: receiving a material storage request; wherein the material storage request comprises a material category and a material importance; determining an order volume index of the material in the storage request according to historical order data; converting the order volume index into a material cold and hot degree level according to a preset rule; wherein the conversion comprises: obtaining historical order data in a specific time period; determining the order volume index of the current material category according to the historical order data by using a first formula, a second formula and a third formula; wherein the first formula is: ； COI is the order volume index, V is the volume of a unit storage occupied by the current material category, and F is the turnover rate of the current material category in the specific time period; the second formula is: ； R is the quantity of the current material category in the specific time period, and C is the average inventory of the current material category in the specific time period; the third formula is: ； an inventory amount of the material kind at the beginning of the specific time period, an inventory amount of the material kind at the end of the specific time period; adjusting the material cold and hot degree according to the material category and the material importance by using a behavior tree model to obtain a new material cold and hot degree level; the behavior tree model is obtained by modeling according to actual business data and warehouse management rules; the behavior tree model comprises a sequence node, a condition node and an action node; wherein the condition node: whether the material is important, corresponding to the action node: cold and hot degree +1; the condition node: whether the material is commonly used, corresponding to the action node: cold and hot degree -1; the condition node: whether the material is fragile, corresponding to the action node: cold and hot degree +1; the condition node: whether the material is corrosive, corresponding to the action node: cold and hot degree +1; the condition node: whether the material is heavy, corresponding to the action node: lower layer of the storage shelf; the condition node: whether the material is light, corresponding to the action node: upper layer of the storage shelf; a group of the condition nodes and the action nodes, and between each group of the condition nodes and the action nodes, are connected by the sequence node; a fragility adjustment module, when the material storage request further comprises material fragility, for adjusting the material cold and hot degree level according to the material fragility by using the behavior tree model to obtain a new material cold and hot degree level; a corrosive adjustment module, when the material storage request further comprises material corrosive, for adjusting the material cold and hot degree according to the material corrosive by using the behavior tree model to obtain a new material cold and hot degree level; a shelving rule module, when the material storage request further comprises material weight, for determining a shelving rule of the material in the storage request according to the material weight by using the behavior tree model; the shelving rule is the storage height of the material in the warehouse; an allocation module, for allocating a storage space for the material in the storage request according to the new material cold and hot degree level and a preset shelf cold and hot degree level of each shelf.

5. A warehouse storage location allocation device based on material coldness and hotness, characterized by, The method comprises the steps of: a memory for storing a computer program; A processor is configured to implement the steps of the warehouse storage location allocation method based on material cold and hot degree according to any one of claims 1 to 3 when executing the computer program.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is configured to implement the steps of the warehouse storage location allocation method based on material cold and hot degree according to any one of claims 1 to 3 when executed by the processor.

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