Intelligent storage cabinet arrangement management method and device, terminal and storage medium

Abstract

The invention provides an intelligent storage cabinet arrangement management method and device, a terminal and a storage medium, and belongs to the field of logistics transportation. The method comprises the steps of obtaining a container shipping period and first attribute information of each to-be-arranged goods so as to determine a target container corresponding to each to-be-arranged goods; obtaining cabinet entering related information of all the to-be-arranged goods in each target container so as to determine a cabinet entering priority of each to-be-arranged goods in each target container; in each target container, target goods are determined according to the cabinet entering priority; and obtaining second attribute information of each target goods to determine a target position of the target goods in the corresponding target container. According to the method, the cabinet entering priority is determined by using the cabinet entering related information, and then the target goods of the target container are determined and arranged, so that the high efficiency and rationality of cabinet arrangement can be effectively ensured.

Description

Technical Field

[0001] The present invention relates to the field of logistics and transportation, and in particular to an intelligent warehouse cabinet management method, device, terminal and storage medium. Background Art

[0002] In the field of logistics and transportation, the traditional container arrangement method has long been overly dependent on manual experience. When determining the order in which goods enter the container, operators often arrange the containers based on intuition and past experience, lacking scientific and intelligent decision support. This method is not only inefficient, but also difficult to ensure the rationality of the container arrangement results.

[0003] Therefore, the prior art has defects and needs to be improved and developed. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent warehouse cabinet arrangement management method, device, terminal and storage medium in view of the above-mentioned defects of the prior art, aiming to solve the problem that the cabinet arrangement efficiency is low and the rationality is difficult to ensure in the prior art.

[0005] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0006] In a first aspect, an embodiment of the present invention provides an intelligent warehouse cabinet management method, the method comprising:

[0007] Obtain the container shipping schedule and the first attribute information of each cargo to be arranged in the container, so as to determine the target container corresponding to each cargo to be arranged in the container;

[0008] Obtaining relevant information of all the goods to be arranged in each target container to enter the container, so as to determine the entry priority of each of the goods to be arranged in each target container;

[0009] In each of the target containers, target goods are determined according to the container entry priority;

[0010] The second attribute information of each of the target goods is obtained to determine its target position in the corresponding target container.

[0011] In one embodiment, the obtaining of the container shipping schedule and the first attribute information of each of the goods to be arranged in the container to determine the target container corresponding to each of the goods to be arranged in the container includes:

[0012] Obtaining the container ship schedule and first attribute information of each cargo to be arranged in the container, wherein the first attribute information includes cargo type, cargo size and shipping destination;

[0013] Obtaining a preset first relationship table, wherein the first relationship table is used to reflect the correspondence between the types of goods, sizes of goods, shipping destinations and classification labels of all goods to be arranged in containers;

[0014] Compare the types, sizes and shipping destinations of all the goods to be arranged in the container with the first relationship table to determine the product classification label corresponding to each of the goods to be arranged in the container;

[0015] Determine the target container corresponding to each of the goods to be arranged based on the goods classification label and the container shipping schedule;

[0016] The product classification labels include dangerous goods, standard size, large size and oversized size.

[0017] In one embodiment, the obtaining of the relevant information of all the goods to be arranged in each target container to determine the entry priority of each of the goods to be arranged in each target container includes:

[0018] Obtaining relevant information of each of the goods to be arranged in each of the target containers;

[0019] Process the cabinet entry related information of each of the goods to be arranged in the cabinet to obtain an evaluation score of each of the goods to be arranged in the cabinet;

[0020] All the evaluation scores are sorted from high to low to obtain the entry priority of each of the goods to be arranged in each of the target containers.

[0021] In one embodiment, the cabinet entry related information includes multiple items of information; the processing of the cabinet entry related information of each of the goods to be arranged in the cabinet to obtain an evaluation score of each of the goods to be arranged in the cabinet includes:

[0022] Obtaining a preset weight corresponding to each item of information in the cabinet entry related information of each of the goods to be arranged in the cabinet;

[0023] A weighted sum operation is performed on each item of information based on all the preset weights to obtain an evaluation score for each of the goods to be arranged in the container.

[0024] In one embodiment, the cabinet-entry related information includes the out-of-stock date of the goods, the predicted sales volume of the goods, the inventory of the goods, the profit of the goods, the out-of-stock quantity of the goods and the correlation index of the goods. The correlation index of the goods is determined based on at least one of the brand of the goods, the type of goods and the purpose of use, and is used to characterize the degree of correlation between different goods.

[0025] In one embodiment, in each of the target containers, determining the target goods according to the container entry priority includes:

[0026] In each of the target containers, the volumes of the goods to be arranged corresponding to the container entry priorities are accumulated in order from high to low until the preset loading threshold of the target container is reached;

[0027] The accumulated goods to be arranged in the container are used as the target goods of the target container.

[0028] In one embodiment, the obtaining of the second attribute information of each target item to determine its target position in the corresponding target container includes:

[0029] Acquire second attribute information of each of the target goods, the second attribute information including the weight of the goods, the stacking method of the goods, the weight limit of the goods, and the frequency of goods inspection;

[0030] Based on the cargo weight, cargo stacking method, cargo load limit, cargo inspection frequency, cargo size and preset target container attribute information of all the target cargoes, the target position of each target cargo in its corresponding target container is obtained.

[0031] In a second aspect, an embodiment of the present invention further provides an intelligent storage cabinet management device, comprising:

[0032] A container determination module is used to obtain the container shipping schedule and the first attribute information of each to-be-arranged cargo, so as to determine the target container corresponding to each to-be-arranged cargo;

[0033] A priority determination module, used for obtaining the relevant information of all the goods to be arranged in each target container, so as to determine the priority of each of the goods to be arranged in each target container;

[0034] A target goods determination module, used to determine the target goods in each target container according to the container entry priority;

[0035] The location determination module is used to obtain the second attribute information of each target product to determine its target location in the corresponding target container.

[0036] In a third aspect, an embodiment of the present invention further provides a terminal, comprising: a memory, a processor, and an intelligent warehouse cabinet management program stored in the memory and executable on the processor, wherein the intelligent warehouse cabinet management program, when executed by the processor, implements the steps of the intelligent warehouse cabinet management method as described above.

[0037] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores an intelligent warehouse cabinet management program, and the intelligent warehouse cabinet management program can be executed to implement the steps of the intelligent warehouse cabinet management method as described above.

[0038] Beneficial effects of the present invention: The embodiment of the present invention obtains the first attribute information of the container ship schedule and each to-be-arranged cargo to determine the target container corresponding to each to-be-arranged cargo; obtains the relevant information of all the to-be-arranged cargo in each target container to determine the priority of each to-be-arranged cargo in each target container; in each target container, the target cargo is determined according to the priority of entering the cargo; and the second attribute information of each target cargo is obtained to determine its target position in the corresponding target container. The present invention uses the relevant information of entering the cargo to determine the priority of entering the cargo, and then determines the target cargo of the target container and arranges the cargo, which can effectively ensure the efficiency and rationality of the arrangement of the cargo. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of a preferred embodiment of the intelligent warehouse cabinet management method in the present invention.

[0040] Figure 2 It is a structural schematic diagram of a preferred embodiment of the intelligent warehouse cabinet management device in the present invention.

[0041] Figure 3 It is a terminal principle block diagram of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] In the field of logistics and transportation, the traditional container arrangement method has long been overly dependent on manual experience. When determining the order in which goods enter the container, operators often arrange the containers based on intuition and past experience, lacking scientific and intelligent decision support. This method is not only inefficient, but also difficult to ensure the rationality of the container arrangement results.

[0044] In view of the above-mentioned defects of the prior art, the present invention provides an intelligent warehouse cabinet arrangement management method, device, terminal and storage medium, the method comprising: obtaining the first attribute information of the container ship schedule and each to-be-arranged goods to determine the target container corresponding to each to-be-arranged goods; obtaining the cabinet entry related information of all the to-be-arranged goods in each of the target containers to determine the cabinet entry priority of each to-be-arranged goods in each of the target containers; in each of the target containers, determining the target goods according to the cabinet entry priority; obtaining the second attribute information of each of the target goods to determine its target position in the corresponding target container. The present invention uses the cabinet entry related information to determine the cabinet entry priority, and then determines the target goods of the target container and arranges the cabinets, which can effectively ensure the efficiency and rationality of the cabinet arrangement.

[0045] See also Figure 1 The intelligent warehouse cabinet management method described in the embodiment of the present invention comprises the following steps:

[0046] Step S100: Obtain the container shipping schedule and the first attribute information of each item to be arranged in the container, so as to determine the target container corresponding to each item to be arranged in the container.

[0047] Specifically, the container schedule refers to the shipping company's arrangement plan for the use of ships, specifically what type of container ship departs from the port of departure at what time, which ports it passes through (if there is a transit), and the time arrangement for finally arriving at the destination port. The first attribute information refers to the key data that can reflect the basic characteristics and classification of the goods to be arranged in the container. By obtaining the first attribute information of the container schedule and the goods to be arranged in the container, the target container corresponding to the goods to be arranged in the container can be determined.

[0048] In one implementation, the step of obtaining the container shipping schedule and the first attribute information of each of the goods to be arranged in the container to determine the target container corresponding to each of the goods to be arranged in the container includes:

[0049] Obtaining the container ship schedule and first attribute information of each cargo to be arranged in the container, wherein the first attribute information includes cargo type, cargo size and shipping destination;

[0050] Obtaining a preset first relationship table, wherein the first relationship table is used to reflect the correspondence between the types of goods, sizes of goods, shipping destinations and classification labels of all goods to be arranged in containers;

[0051] Compare the types, sizes and shipping destinations of all the goods to be arranged in the container with the first relationship table to determine the product classification label corresponding to each of the goods to be arranged in the container;

[0052] Determine the target container corresponding to each of the goods to be arranged based on the goods classification label and the container shipping schedule;

[0053] The product classification labels include dangerous goods, standard size, large size and oversized size.

[0054] Specifically, in the present invention, the first attribute information includes the type of goods, the size of the goods, and the shipping destination. The goods in the present invention need to be sent to logistics warehouses in different regions so that the goods can be sold in different regions. For different shipping destinations, there are different rules for determining the classification labels of goods. The present invention stores the correspondence between the types of goods, sizes of goods, shipping destinations and the classification labels of goods of all goods to be arranged in the container as a first relationship table in advance. When it is necessary to arrange the container, the type of goods, sizes of goods and shipping destination of the goods to be arranged in the container are compared with the preset first relationship table, and then the corresponding classification labels (dangerous goods, standard size, large size, oversized size) of the goods to be arranged in the shipping destination are determined. In the step of determining the target container by the cargo classification label and the container shipping schedule, the container category corresponding to each cargo to be arranged can be determined by the cargo classification label. For example, if the cargo classification label is dangerous goods, the corresponding container category is a dangerous goods container; if the cargo classification label is standard size, the corresponding container category is a standard size container; if the cargo classification label is large size, the corresponding container category is a large size container; if the cargo classification label is oversized size, the corresponding container category is an oversized container. Then, the target container corresponding to each cargo to be arranged can be determined according to different container categories and container shipping schedules.

[0055] The present invention can quickly match the type, size and destination of the goods to be arranged in the container with the goods classification label through the pre-set first relationship table, thereby greatly shortening the time for determining the goods classification label. Once the goods classification label is determined, the corresponding container category can be quickly found, and then the target container can be determined in combination with the container shipping schedule. The whole process is efficient and fast.

[0056] See also Figure 1 The intelligent warehouse cabinet management method described in the embodiment of the present invention comprises the following steps:

[0057] Step S200: Obtain the entry-related information of all the goods to be arranged in each target container to determine the entry priority of each of the goods to be arranged in each target container.

[0058] Specifically, the information related to cabinet entry is various information that affects the priority of cabinet entry of the goods to be arranged. The present invention can quickly and intelligently determine the cabinet entry priority of the goods to be arranged by introducing and processing the information related to cabinet entry. It can be understood that due to the large number of goods to be arranged and the limited loading capacity of the container, not all goods to be arranged can be arranged in the container that is shipped most recently. By determining the priority of cabinet entry, the loading order of the goods can be reasonably arranged according to the priority level, ensuring that the goods with high priority can be loaded and transported first.

[0059] In one implementation, obtaining the information related to the entry of all the goods to be arranged in each target container to determine the entry priority of each of the goods to be arranged in each target container includes:

[0060] Obtaining relevant information of each of the goods to be arranged in each of the target containers;

[0061] Process the cabinet entry related information of each of the goods to be arranged in the cabinet to obtain an evaluation score of each of the goods to be arranged in the cabinet;

[0062] All the evaluation scores are sorted from high to low to obtain the entry priority of each of the goods to be arranged in each of the target containers.

[0063] Specifically, the present invention processes the information related to cabinet entry to obtain the evaluation score of each item to be arranged in the cabinet, and then obtains the cabinet entry priority of each item to be arranged in the order from high to low. This method not only avoids the objectivity and inefficiency of manual cabinet arrangement, effectively improves the accuracy and efficiency of cabinet arrangement, but also ensures the objectivity and fairness of the cabinet arrangement process, providing effective support for the intelligence and automation of the logistics and transportation industry.

[0064] In one implementation, the cabinet entry related information includes multiple items of information; the processing of the cabinet entry related information of each of the goods to be arranged in the cabinet to obtain an evaluation score of each of the goods to be arranged in the cabinet includes:

[0065] Obtaining a preset weight corresponding to each item of information in the cabinet entry related information of each of the goods to be arranged in the cabinet;

[0066] A weighted sum operation is performed on each item of information based on all the preset weights to obtain an evaluation score for each of the goods to be arranged in the container.

[0067] Specifically, by weighting and summing each item of information related to cabinet entry, the evaluation score of each item to be arranged can be obtained. By comprehensively considering multiple factors that affect the priority of cabinet entry, the comprehensiveness and accuracy of the evaluation process can be ensured, avoiding the one-sidedness of decision-making based on a single factor.

[0068] In one implementation, the cabinet-entry related information includes the out-of-stock date of the goods, the predicted sales volume of the goods, the inventory of the goods, the profit of the goods, the out-of-stock quantity of the goods and the goods correlation index. The goods correlation index is determined based on at least one of the brand of the goods, the type of goods and the purpose of use, and is used to characterize the degree of correlation between different goods.

[0069] Specifically, the present invention calculates the evaluation score based on multiple pieces of information. Among them, the out-of-stock date and out-of-stock quantity of the goods are directly related to the urgency of the goods. For goods that are about to be out of stock or are already out of stock, their transportation and warehousing should be given priority to avoid sales interruption and customer loss. The predicted sales volume of goods reflects the market demand. Goods with high sales forecasts usually mean higher sales potential and customer satisfaction, so they should be given higher priority when arranging cabinets. Goods inventory and profit evaluate goods from the two perspectives of supply status and economic value respectively. Goods with too low inventory need to be replenished first, while goods with higher profits help to improve the economic benefits of overall transportation. The goods correlation index is determined based on at least one of the brand, type and use of goods. It aims to quantify the inherent connection and interdependence between different goods. This degree of correlation is not only limited to different products under the same brand, but also crosses brand boundaries and covers goods with similar functions, uses or consumer groups. Take products of the same type but different colors as an example. Although these products have different colors, they are highly consistent in function and use and can complement each other. Therefore, the product relevance index is also introduced into the evaluation score to utilize the synergy between products with high product relevance indexes to improve sales results. In the present invention, the evaluation score is calculated based on multiple pieces of information, which can ensure the rationality of the cabinet entry priority and effectively avoid the subjectivity of manual processing.

[0070] See also Figure 1 The intelligent warehouse cabinet management method described in the embodiment of the present invention comprises the following steps:

[0071] Step S300: In each of the target containers, target goods are determined according to the container entry priority.

[0072] Specifically, after the priority of entering the container is determined, since the space in the container is limited, the goods to be entered can be screened according to the priority of entering the container to obtain the target goods.

[0073] In one implementation, in each of the target containers, determining the target goods according to the container entry priority includes:

[0074] In each of the target containers, the volumes of the goods to be arranged corresponding to the container entry priorities are accumulated in order from high to low until the preset loading threshold of the target container is reached;

[0075] The accumulated goods to be arranged in the container are used as the target goods of the target container.

[0076] Specifically, the preset loading threshold ranges from 80% to 95% of the maximum loading capacity of the target container. The target cargo is determined by accumulating the volumes of the cargo to be arranged in order from high to low, which can effectively ensure the rationality and scientificity of the arrangement of containers.

[0077] See also Figure 1 The intelligent warehouse cabinet management method described in the embodiment of the present invention comprises the following steps:

[0078] Step S400: Acquire the second attribute information of each target product to determine its target position in the corresponding target container.

[0079] Specifically, after the target goods are determined, the second attribute of the target goods is obtained to determine the target position of the target goods in the target container.

[0080] In one embodiment, the obtaining of the second attribute information of each target item to determine its target position in the corresponding target container includes:

[0081] Acquire second attribute information of each of the target goods, the second attribute information including the weight of the goods, the stacking method of the goods, the weight limit of the goods, and the frequency of goods inspection;

[0082] Based on the cargo weight, cargo stacking method, cargo load limit, cargo inspection frequency, cargo size and preset target container attribute information of all the target cargoes, the target position of each target cargo in its corresponding target container is obtained.

[0083] Specifically, the target container attribute information includes the size, shape and internal structure of the target container. The cargo stacking methods include horizontal and vertical placement. The cargo detection frequency reflects the frequency with which the cargo is detected during transportation. The present invention can effectively determine the position of the target cargo by combining cargo weight, cargo stacking method, cargo weighing limit, cargo detection frequency, cargo size and target container attribute information to ensure that different cargoes are evenly distributed in the container, avoid space waste and transportation risks, center the center of gravity of the container, and improve stability and safety during transportation. At the same time, ensuring that cargoes with a higher frequency of cargo detection are placed close to the container door can save inspection time and improve transportation efficiency.

[0084] In one implementation, the method further includes:

[0085] The target positions of all the target goods in the same container are displayed in three dimensions.

[0086] Specifically, displaying the arrangement results of the same container in three-dimensional form can facilitate intuitive viewing by users.

[0087] In summary, the present invention obtains the first attribute information of the container ship schedule and each of the goods to be arranged in the container to determine the target container corresponding to each of the goods to be arranged in the container; obtains the relevant information of the entry of all the goods to be arranged in each of the target containers to determine the entry priority of each of the goods to be arranged in the target container; in each of the target containers, the target goods are determined according to the entry priority; and the second attribute information of each of the target goods is obtained to determine its target position in the corresponding target container. The present invention uses the relevant information of entry to determine the entry priority, and then determines the target goods of the target container and arranges the containers, which can effectively ensure the efficiency and rationality of the arrangement of containers.

[0088] In one embodiment, if Figure 2 As shown, based on the above-mentioned intelligent warehouse cabinet management method, the present invention also provides an intelligent warehouse cabinet management device, including:

[0089] The container determination module 100 is used to obtain the container shipping schedule and the first attribute information of each to-be-arranged cargo, so as to determine the target container corresponding to each to-be-arranged cargo;

[0090] The priority determination module 200 is used to obtain the relevant information of all the goods to be arranged in each target container, so as to determine the priority of each of the goods to be arranged in each target container;

[0091] A target product determination module 300 is used to determine the target product in each target container according to the container entry priority;

[0092] The location determination module 400 is used to obtain the second attribute information of each target product to determine its target location in the corresponding target container.

[0093] In one embodiment, the container determination module includes:

[0094] A first attribute information acquisition unit, used to acquire the first attribute information of the container ship schedule and each of the goods to be arranged in the container, wherein the first attribute information includes the type of goods, the size of the goods and the shipping destination;

[0095] A relationship table acquisition unit, used to acquire a preset first relationship table, wherein the first relationship table is used to reflect the correspondence between the types of goods, sizes of goods, shipping destinations and classification labels of all goods to be arranged in containers;

[0096] A category determination unit, used for comparing the category, size and shipping destination of all the goods to be arranged in the container with the first relationship table to determine the corresponding product classification label of each of the goods to be arranged in the container, wherein the product classification labels include dangerous goods, standard size, large size and oversized size;

[0097] The target container determination unit is used to determine the target container corresponding to each of the goods to be arranged in the container based on the goods classification label and the container shipping schedule.

[0098] In one embodiment, the priority determination module includes:

[0099] A unit for acquiring information related to cabinet entry, used for acquiring information related to cabinet entry of each of the goods to be arranged in each of the target containers;

[0100] A score generating unit, used for processing the cabinet entry related information of each of the goods to be arranged in the cabinet, to obtain an evaluation score of each of the goods to be arranged in the cabinet;

[0101] The priority determination unit is used to sort all the evaluation scores from high to low to obtain the entry priority of each of the goods to be arranged in each of the target containers.

[0102] In one embodiment, the cabinet entry related information includes multiple pieces of information; the device further includes:

[0103] A weight acquisition unit, used to acquire a preset weight corresponding to each item of the cabinet entry related information of each of the goods to be arranged in the cabinet;

[0104] The evaluation calculation unit is used to perform a weighted sum operation on each piece of information based on all the preset weights to obtain an evaluation score for each of the goods to be arranged in the container.

[0105] In one embodiment, the target product determination module includes:

[0106] A volume accumulation unit, used for accumulating the volumes of the goods to be arranged in each target container corresponding to the priority level of the container entry in order from high to low, until a preset loading threshold of the target container is reached;

[0107] The target goods confirmation unit is used to take the accumulated goods to be arranged in the container as the target goods of the target container.

[0108] In one embodiment, the location determination module includes:

[0109] A second attribute information acquisition unit, used to acquire second attribute information of each of the target goods, the second attribute information including the weight of the goods, the stacking method of the goods, the weight limit of the goods and the frequency of goods inspection;

[0110] The target position determination unit is used to obtain the target position of each target cargo in its corresponding target container based on the cargo weight, cargo stacking method, cargo load limit, cargo inspection frequency, cargo size and preset target container attribute information of all the target cargoes.

[0111] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Figure 3 As shown. The terminal includes a processor, a memory, a network interface and a display screen connected via a device bus. The processor of the terminal is used to provide computing and control capabilities. The memory of the terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating device and an intelligent warehouse cabinet management program. The internal memory provides an environment for the operation of the operating device and the intelligent warehouse cabinet management program in the non-volatile storage medium. The network interface of the terminal is used to communicate with an external terminal via a network connection. When the intelligent warehouse cabinet management program is executed by the processor, the steps of any one of the above-mentioned intelligent warehouse cabinet management methods are implemented. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.

[0112] Those skilled in the art will understand that Figure 3 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the terminal to which the scheme of the present invention is applied. The specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0113] In one embodiment, a terminal is provided, which includes a memory, a processor, and an intelligent warehouse cabinet management program stored in the memory and executable on the processor. When the intelligent warehouse cabinet management program is executed by the processor, the steps of any one of the intelligent warehouse cabinet management methods provided in the embodiments of the present invention are implemented.

[0114] An embodiment of the present invention further provides a computer-readable storage medium, on which an intelligent warehouse cabinet management program is stored. When the intelligent warehouse cabinet management program is executed by a processor, the steps of any one of the intelligent warehouse cabinet management methods provided in the embodiment of the present invention are implemented.

[0115] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0116] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the above-mentioned device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0117] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0118] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0119] In the embodiments provided by the present invention, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are only illustrative, for example, the division of the above modules or units is only a logical function division, and in actual implementation, other division methods can be used, for example, multiple units or components can be combined or integrated into another apparatus, or some features can be ignored or not executed.

[0120] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features therein may be replaced by equivalents. However, these modifications or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. An intelligent warehouse cabinet management method, characterized in that: The method comprises: Obtain the container shipping schedule and the first attribute information of each cargo to be arranged in the container, so as to determine the target container corresponding to each cargo to be arranged in the container; Obtaining relevant information of all the goods to be arranged in each target container to enter the container, so as to determine the entry priority of each of the goods to be arranged in each target container; In each of the target containers, determining target goods according to the container entry priority; The second attribute information of each of the target goods is obtained to determine its target position in the corresponding target container.

2. The intelligent warehouse cabinet management method according to claim 1 is characterized in that: The obtaining of the container shipping schedule and the first attribute information of each of the goods to be arranged in the container to determine the target container corresponding to each of the goods to be arranged in the container includes: Obtaining the container ship schedule and first attribute information of each cargo to be arranged in the container, wherein the first attribute information includes cargo type, cargo size and shipping destination; Obtaining a preset first relationship table, wherein the first relationship table is used to reflect the correspondence between the types of goods, sizes of goods, shipping destinations and classification labels of all goods to be arranged in containers; Compare the types, sizes and shipping destinations of all the goods to be arranged in the container with the first relationship table to determine the product classification label corresponding to each of the goods to be arranged in the container; Determine the target container corresponding to each of the goods to be arranged based on the goods classification label and the container shipping schedule; The product classification labels include dangerous goods, standard size, large size and oversized size.

3. The intelligent warehouse cabinet management method according to claim 1 is characterized in that: The obtaining of the relevant information of all the goods to be arranged in each target container to determine the entry priority of each of the goods to be arranged in each target container includes: Obtaining relevant information of each of the goods to be arranged in each of the target containers; Process the cabinet entry related information of each of the goods to be arranged in the cabinet to obtain an evaluation score of each of the goods to be arranged in the cabinet; All the evaluation scores are sorted from high to low to obtain the entry priority of each of the goods to be arranged in each of the target containers.

4. The intelligent warehouse cabinet management method according to claim 3 is characterized in that: The cabinet entry related information includes multiple items of information; the cabinet entry related information of each of the items to be arranged is processed to obtain an evaluation score of each of the items to be arranged, including: Obtaining a preset weight corresponding to each item of information in the cabinet entry related information of each of the goods to be arranged in the cabinet; A weighted sum operation is performed on each item of information based on all the preset weights to obtain an evaluation score for each of the goods to be arranged in the container.

5. The intelligent warehouse cabinet management method according to claim 4, characterized in that: The cabinet-entry related information includes the out-of-stock date of the goods, the predicted sales volume of the goods, the inventory of the goods, the profit of the goods, the out-of-stock quantity of the goods and the correlation index of the goods. The correlation index of the goods is determined based on at least one of the brand of the goods, the type of the goods and the purpose of use, and is used to characterize the degree of correlation between different goods.

6. The intelligent warehouse cabinet management method according to claim 1, characterized in that: Determining target goods in each target container according to the container entry priority includes: In each of the target containers, the volumes of the goods to be arranged corresponding to the container entry priorities are accumulated in order from high to low until the preset loading threshold of the target container is reached; The accumulated goods to be arranged in the container are used as the target goods of the target container.

7. The intelligent warehouse cabinet management method according to claim 2, characterized in that: The obtaining of the second attribute information of each target item to determine its target position in the corresponding target container includes: Acquire second attribute information of each of the target goods, the second attribute information including the weight of the goods, the stacking method of the goods, the weight limit of the goods, and the frequency of goods inspection; Based on the cargo weight, cargo stacking method, cargo load limit, cargo inspection frequency, cargo size and preset target container attribute information of all the target cargoes, the target position of each target cargo in its corresponding target container is obtained.

8. An intelligent storage cabinet management device, characterized in that: include: A container determination module is used to obtain the container shipping schedule and the first attribute information of each to-be-arranged cargo, so as to determine the target container corresponding to each to-be-arranged cargo; A priority determination module, used for obtaining the relevant information of all the goods to be arranged in each target container, so as to determine the priority of each of the goods to be arranged in each target container; A target goods determination module, used to determine the target goods in each target container according to the container entry priority; The location determination module is used to obtain the second attribute information of each target product to determine its target location in the corresponding target container.

9. A terminal, characterized in that: The terminal includes a memory, a processor, and an intelligent warehouse cabinet management program stored in the memory and executable on the processor. When the intelligent warehouse cabinet management program is executed by the processor, the steps of the intelligent warehouse cabinet management method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an intelligent warehouse cabinet management program, and when the intelligent warehouse cabinet management program is executed by the processor, the steps of the intelligent warehouse cabinet management method according to any one of claims 1 to 7 are implemented.

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