CN116755396A - Warehouse management method, warehouse management device, computer equipment and storage medium - Google Patents
Warehouse management method, warehouse management device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of warehouse management, in particular to a warehouse management method, a warehouse management device, computer equipment and a storage medium, wherein the warehouse management method comprises the following steps: acquiring customer order data, and identifying and analyzing the customer order data to obtain customer order analysis data; acquiring the types of goods to be delivered and the quantity of the goods to be delivered corresponding to each type of goods to be delivered from the customer order analysis data; acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered; and acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating a goods taking instruction by using the trolley goods taking route and the AGV trolley mark. The application has the effect of improving the efficiency of commodity delivery.
Description
Technical Field
The present application relates to the field of warehouse management technologies, and in particular, to a warehouse management method, a warehouse management device, a computer device, and a storage medium.
Background
At present, a warehouse management system (WMS, warehouse Management System) is software used in warehouse management, can perform corresponding management on warehouse entry, warehouse exit and inventory in a warehouse, and improves the efficiency and accuracy of warehouse management.
The existing warehouse management system is widely applied to the field of logistics warehouse, such as a self-owned warehouse of an e-commerce platform, a commodity supplier stores products in the self-owned warehouse in advance, and after sales orders are sold on the e-commerce platform, the commodity is taken out from the corresponding position in the self-owned warehouse according to the sales orders, and then subsequent packaging and logistics steps are carried out.
The prior art solutions described above have the following drawbacks:
when a user takes a batch of orders, the user needs to take the commodities according to the commodities in the orders, and if the types and the numbers of the commodities in the orders are large, commodity delivery efficiency is affected.
Disclosure of Invention
In order to improve the efficiency of commodity delivery, the application provides a warehouse management method, a warehouse management device, computer equipment and a storage medium.
The first object of the present application is achieved by the following technical solutions:
a warehouse management method, the warehouse management method comprising:
acquiring customer order data, and identifying and analyzing the customer order data to obtain customer order analysis data;
acquiring the types of goods to be delivered and the quantity of the goods to be delivered corresponding to each type of goods to be delivered from the customer order analysis data;
acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
and acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating a goods taking instruction by using the trolley goods taking route and the AGV trolley mark.
By adopting the technical scheme, when the customer order data is responded, the customer order data is analyzed, so that the corresponding types to be delivered and the quantity of goods to be delivered can be extracted in batches from the customer order data, and therefore, a customer can automatically analyze the selective purchasing demand only by inputting the selective purchasing demand into the system, thereby improving the efficiency and reducing the condition of error leakage when the types and the quantities are input one by one; according to the goods category to be delivered and the corresponding goods quantity to be delivered of the customer, the AGV trolley for taking the goods corresponding to the goods to be purchased by the customer can be arranged, and then the goods to be delivered of the customer can be arranged on the unified AGV trolley, so that the unified packaging and delivery are facilitated.
The present application may be further configured in a preferred example to: the obtaining the customer order data, identifying and analyzing the customer order data to obtain customer order analysis data, specifically comprises the following steps:
identifying text data of the customer order data to obtain order text data;
and acquiring a preset warehouse goods code, and converting the text data of the order according to the warehouse goods code to obtain the analysis data of the customer order.
By adopting the technical scheme, the order text data is obtained by identifying the text data, the specific content in the customer order data can be identified, and the order text data is converted according to the storage goods codes, so that the order text data is matched with the identification of the types of the storage goods, and the subsequent searching is convenient.
The present application may be further configured in a preferred example to: the step of obtaining the type of the goods to be delivered and the quantity of the goods to be delivered corresponding to each type of the goods to be delivered from the customer order analysis data specifically comprises the following steps:
matching and inquiring in the customer order analysis data by using the warehouse goods codes;
and acquiring the types of the goods to be delivered and the quantity of the goods to be delivered according to the matching inquiry result.
Through adopting above-mentioned technical scheme, through the matching of code and code to can promote the efficiency of data matching, and then when the customer has a large amount of goods to need go out of the storehouse, can analyze fast and obtain to wait to go out of storehouse goods kind and wait to go out of storehouse goods quantity, and then be convenient for arrange the goods step of getting that corresponds.
The present application may be further configured in a preferred example to: the AGV trolley identification corresponding to the customer order data is obtained according to the type of the goods to be delivered and the quantity of the goods to be delivered, and specifically comprises the following steps:
acquiring corresponding cargo size data and cargo weight data according to each cargo type to be delivered;
calculating the load of the goods to be delivered of each goods type to be delivered according to the goods size data and the goods weight data acquired by each goods type to be delivered;
and acquiring a corresponding AGV trolley identifier according to the load bearing of the goods to be delivered.
Through adopting above-mentioned technical scheme, in the storage, can use the AGV dolly that multiple is used for getting goods, and the goods weight that each kind or AGV dolly of model can bear can have the difference, consequently, through obtaining goods size data and goods weight data to can calculate in this customer order data, each treat that the goods kind of leaving a warehouse corresponds treat that the goods bears, and then can distribute and accord with and get goods for the AGV dolly that always bears, be convenient for follow-up unified management to the goods of leaving a warehouse.
The present application may be further configured in a preferred example to: the method comprises the steps of obtaining a goods position to be delivered according to the goods type to be delivered, generating a trolley goods taking route according to the goods position to be delivered, and generating a goods taking instruction by using the trolley goods taking route and the AGV trolley mark, and specifically comprising the following steps:
sorting the types of the goods to be delivered according to the order of the goods to be delivered from big to small, and acquiring the corresponding goods to be delivered positions according to the sorting result;
and planning a path of the goods to be delivered to obtain the trolley goods taking route.
Through adopting above-mentioned technical scheme, through carrying from big order to the order of little to every goods that wait to leave the storehouse to can make the AGV dolly get the route according to this dolly and get when getting goods, can put the bottom at the AGV dolly with the great goods of volume and weight, thereby promoted the stability of AGV dolly in the transportation.
The second object of the present application is achieved by the following technical solutions:
a warehouse management device, the warehouse management device comprising:
the order acquisition module is used for acquiring customer order data, identifying and analyzing the customer order data and obtaining customer order analysis data;
the goods information acquisition module is used for acquiring the types of goods to be delivered and the quantity of the goods to be delivered corresponding to each type of goods to be delivered from the customer order analysis data;
the trolley screening module is used for acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
the goods delivery module is used for acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating goods taking instructions by the trolley goods taking route and the AGV trolley identification.
By adopting the technical scheme, when the customer order data is responded, the customer order data is analyzed, so that the corresponding types to be delivered and the quantity of goods to be delivered can be extracted in batches from the customer order data, and therefore, a customer can automatically analyze the selective purchasing demand only by inputting the selective purchasing demand into the system, thereby improving the efficiency and reducing the condition of error leakage when the types and the quantities are input one by one; according to the goods category to be delivered and the corresponding goods quantity to be delivered of the customer, the AGV trolley for taking the goods corresponding to the goods to be purchased by the customer can be arranged, and then the goods to be delivered of the customer can be arranged on the unified AGV trolley, so that the unified packaging and delivery are facilitated.
The third object of the present application is achieved by the following technical solutions:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the warehouse management method described above when the computer program is executed.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the warehouse management method described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. when the customer order data is responded, the customer order data is analyzed, so that the corresponding types to be delivered and the quantity of goods to be delivered can be extracted from the customer order data in batches, and therefore, a customer can automatically analyze the customer only by inputting the purchasing requirement into the system, the efficiency is improved, and the situation of error leakage when the types and the quantities are input one by one is reduced; according to the types of goods to be delivered and the corresponding quantity of goods to be delivered of the customer, the AGV trolley for taking the goods corresponding to the goods to be purchased of the customer can be arranged according to the goods to be purchased of the customer, and then the goods to be delivered of the customer can be arranged on the unified AGV trolley, so that unified packaging and delivery are facilitated;
2. in the warehouse, a plurality of AGV trolleys used for picking up goods are used, and the weight of goods which can be borne by each AGV trolley of each type or model is different, so that the goods to be picked up corresponding to each type of goods to be picked up can be calculated in the customer order data by acquiring the size data and the weight data of the goods, and the AGV trolleys conforming to the total load can be distributed for picking up the goods, thereby being convenient for the unified management of the goods to be picked up subsequently;
3. through carrying out the order from big to little to every to waiting to go out storehouse goods to can make the AGV dolly get the route according to this dolly and get when getting goods, can put the bottom at the AGV dolly with the great goods of volume and weight, thereby promoted the stability of AGV dolly in the transportation.
Drawings
FIG. 1 is a flow chart of a warehouse management method in an embodiment of the application;
FIG. 2 is a flowchart showing the implementation of step S10 in the warehouse management method according to an embodiment of the present application;
FIG. 3 is a flowchart showing the implementation of step S20 in the warehouse management method according to an embodiment of the present application;
FIG. 4 is a flowchart showing the implementation of step S30 in the warehouse management method according to an embodiment of the present application;
FIG. 5 is a flowchart showing the implementation of step S40 in the warehouse management method according to an embodiment of the present application;
FIG. 6 is a schematic block diagram of a warehouse management device in accordance with an embodiment of the application;
fig. 7 is a schematic diagram of an apparatus in an embodiment of the application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings.
In an embodiment, as shown in fig. 1, the application discloses a warehouse management method, which specifically comprises the following steps:
s10: and acquiring the customer order data, and identifying and analyzing the customer order data to obtain customer order analysis data.
In this embodiment, the customer order data refers to data of purchasing requirements of customers. The customer order analysis data refers to data for goods that a customer needs to purchase or take out, which is recorded in the customer order data.
Specifically, when a customer has a need to purchase or pick up goods, for example, for the construction field, the customer needs to purchase the corresponding building materials, and make a corresponding purchase list and a corresponding demand document according to the actual demand, as the customer order data. After receiving the customer order data uploaded by the customer, identifying and analyzing the customer order data, thereby obtaining the customer order analysis data.
S20: and acquiring the types of the goods to be delivered and the quantity of the goods to be delivered corresponding to each type of the goods to be delivered from the customer order analysis data.
Specifically, from the customer order analysis data, identifying the type of the goods to be purchased or delivered by the customer, namely the type of the goods to be delivered, and acquiring the corresponding quantity of the goods to be delivered at the specific position of each type of the goods to be delivered in the customer order analysis data.
S30: and acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered.
In this embodiment, the AGV cart identification refers to an identification that is used to distinguish each AGV cart that is used to pick up a load from the warehouse.
Specifically, the method includes classifying according to the carrying capacity of each AGV trolley used for picking goods in a warehouse during transportation, namely, the weight of the limited load, presetting a carrying capacity range interval during classification, classifying and grouping the AGV trolleys according to the carrying capacity range interval to which the carrying capacity of each AGV trolley belongs, and carrying unique marks for each group to represent the carrying capacity range of each AGV trolley.
Further, through the setting that each AGV dolly bears unique sign and carries out the sign to each AGV dolly, obtain unique AGV sign, the AGV sign of each AGV dolly all contains its corresponding unique sign that bears promptly.
Further, after the type of goods to be delivered and the corresponding quantity of goods to be delivered are obtained, total bearing data of the customer order data are obtained, the bearing data are matched with bearing unique marks in the currently free AGV marks, and the AGV mark which can meet the bearing data and has the minimum bearing capacity is screened out and used as the AGV trolley mark.
S40: and acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating a goods taking instruction by the trolley goods taking route and the AGV trolley mark.
Specifically, according to the position where the warehouse stores each type of goods, the position of the goods to be delivered corresponding to each type of goods to be delivered is obtained, the position of the goods to be delivered is used as a stop point when the AGV trolley is used for taking goods, after the trolley taking route is generated according to the stop point, the goods taking instruction is generated according to the trolley taking route and the AGV trolley identification, and the trolley corresponding to the AGV trolley identification is controlled to take goods according to the trolley taking route.
In this embodiment, when customer order data is responded, the customer order data is parsed, so that the corresponding category to be delivered and the quantity of goods to be delivered can be extracted from the customer order data in batches, so that a customer can only input the purchasing requirement into the system, the system can automatically parse the purchasing requirement, the efficiency is improved, and the situation of error leakage when the category and quantity are input one by one is reduced; according to the goods category to be delivered and the corresponding goods quantity to be delivered of the customer, the AGV trolley for taking the goods corresponding to the goods to be purchased by the customer can be arranged, and then the goods to be delivered of the customer can be arranged on the unified AGV trolley, so that the unified packaging and delivery are facilitated.
In one embodiment, as shown in fig. 2, in step S10, customer order data is acquired, and the customer order data is identified and parsed to obtain customer order parsing data, which specifically includes:
s11: and identifying the text data of the customer order data to obtain the order text data.
In this embodiment, the order text data refers to text data in the customer order data.
Specifically, character recognition is performed from the customer order data by OCR character recognition techniques, thereby obtaining order character data.
S12: and acquiring a preset warehouse goods code, and converting the text data of the order according to the warehouse goods code to obtain customer order analysis data.
Specifically, the names of the types of goods stored in the warehouse are converted into the warehouse goods codes in advance through a preset character conversion algorithm.
Further, the customer order analysis data is obtained by carrying out the same conversion on the order text data according to the algorithm corresponding to the converted storage goods code, so that the data formats of the storage goods code and the customer order analysis data are consistent.
In an embodiment, as shown in fig. 3, in step S20, the type of the to-be-delivered goods and the number of to-be-delivered goods corresponding to each type of the to-be-delivered goods are obtained from the customer order analysis data, which specifically includes:
s21: matching queries are performed in the customer order resolution data using the warehouse cargo code.
Specifically, because the warehouse cargo code is matched with the data format of the customer order analysis data, the warehouse cargo code is matched and inquired in the customer order analysis data in a regular matching mode.
S22: and acquiring the types of the goods to be delivered and the quantity of the goods to be delivered according to the matching inquiry result.
Specifically, screening the data successfully matched with the query to obtain the types of the goods to be delivered, and taking the corresponding number of the types of the goods to be delivered as the number of the goods to be delivered.
In one embodiment, as shown in fig. 4, in step S30, the AGV cart identifier corresponding to the customer order data is obtained according to the type of the goods to be delivered and the number of the goods to be delivered, and specifically includes:
s31: and acquiring corresponding cargo size data and cargo weight data according to each cargo type to be delivered.
Specifically, according to the warehouse entry record of the warehouse, the size and the weight of the goods corresponding to each type of goods to be delivered from the warehouse are obtained from the warehouse entry record and are used as the size data and the weight data of the goods.
S32: and calculating the load of the goods to be delivered of each goods type to be delivered according to the goods size data and the goods weight data acquired by each goods type to be delivered.
Specifically, the total volume of each type of goods to be delivered and the total weight of each type of goods to be delivered in the customer order data are calculated according to the goods size data, and the total volume and the total weight are taken as the goods to be delivered of the type of goods to be delivered for bearing.
S33: and acquiring a corresponding AGV trolley identifier according to the load of the goods to be delivered.
Specifically, after the load of the goods to be delivered of each goods type to be delivered is obtained, the total load of the goods corresponding to the customer order data is obtained, and matching inquiry is carried out in the load unique label in the AGV label through the total load, so that the AGV label is obtained.
In an embodiment, as shown in fig. 5, in step S40, namely, the position of the goods to be delivered is obtained according to the type of the goods to be delivered, a trolley goods taking route is generated according to the position of the goods to be delivered, and a goods taking instruction is generated by using the trolley goods taking route and the AGV trolley identifier, which specifically includes:
s41: sorting the types of the goods to be delivered according to the order of the goods to be delivered from big to small, and acquiring the corresponding goods to be delivered positions according to the sorting result.
Specifically, in the customer order data, each type of goods to be delivered is ordered according to the order of the corresponding goods to be delivered bearing values from large to small, and the corresponding goods to be delivered positions are obtained after the ordering.
S42: and planning a path of the goods to be delivered to obtain a trolley goods taking route.
Specifically, the algorithm of path planning is adopted, and the trolley goods taking route is generated according to the sequence of goods positions to be delivered, so that when the AGV corresponding to the AGV identification performs goods taking according to the trolley goods taking route, goods can be taken according to the sorting result of the step S41, and accordingly goods with large weight and volume are placed at the bottom of the AGV. When this AGV dolly gets goods according to this dolly get goods route, from the biggest goods position of waiting to go out of storehouse of goods bearing data begin to get goods, after getting goods, place the goods that corresponds in this AGV dolly and be used for holding the bottommost of goods to make bear lighter goods place the position on more, make bear the weight of the extrusion of light goods be difficult to receive heavier goods in the in-process of transportation.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
In an embodiment, there is provided a warehouse management device, which corresponds to the warehouse management method in the above embodiment one by one. As shown in fig. 6, the warehouse management device includes an order acquisition module, a cargo information acquisition module, a trolley screening module, and a cargo delivery module. The functional modules are described in detail as follows:
the order acquisition module is used for acquiring customer order data, identifying and analyzing the customer order data and obtaining customer order analysis data;
the goods information acquisition module is used for acquiring the types of goods to be delivered and the quantity of the goods to be delivered corresponding to each type of goods to be delivered from the customer order analysis data;
the trolley screening module is used for acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
the goods delivery module is used for acquiring the goods position to be delivered according to the goods type to be delivered, generating a trolley goods taking route according to the goods position to be delivered, and generating a goods taking instruction by the trolley goods taking route and the AGV trolley identification.
Optionally, the order acquisition module includes:
the character recognition sub-module is used for recognizing character data of the customer order data to obtain the order character data;
the text analysis sub-module is used for acquiring preset warehouse goods codes, and converting text data of the orders according to the warehouse goods codes to obtain customer order analysis data.
Optionally, the cargo information obtaining module includes:
the matching inquiry sub-module is used for carrying out matching inquiry in the customer order analysis data by using the warehouse goods codes;
and the cargo information acquisition sub-module is used for acquiring the types of the cargoes to be delivered and the quantity of the cargoes to be delivered according to the matching inquiry result.
Optionally, the cart screening module includes:
the weight data acquisition sub-module is used for acquiring corresponding cargo size data and cargo weight data according to each cargo type to be delivered;
the load calculation sub-module is used for calculating the load of the goods to be delivered of each goods type to be delivered according to the goods size data and the goods weight data acquired by each goods type to be delivered;
and the trolley screening sub-module is used for acquiring corresponding AGV trolley identifications according to the goods to be delivered.
Optionally, the cargo delivery module includes:
the sorting sub-module is used for sorting the types of the goods to be delivered according to the order of the goods to be delivered from big to small, and obtaining the corresponding goods to be delivered positions according to the sorting result;
and the path planning sub-module is used for planning the path of the goods to be delivered to the warehouse to obtain the trolley goods taking route.
The specific definition of the warehouse management device may be referred to above as the definition of the warehouse management method, and will not be described here. The individual modules in the warehouse management device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of computer devices is used to store information for each item within the warehouse. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a warehouse management method.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
acquiring customer order data, and identifying and analyzing the customer order data to obtain customer order analysis data;
acquiring the types of the goods to be delivered and the quantity of the goods to be delivered corresponding to each type of the goods to be delivered from the customer order analysis data;
acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
and acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating a goods taking instruction by the trolley goods taking route and the AGV trolley mark.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring customer order data, and identifying and analyzing the customer order data to obtain customer order analysis data;
acquiring the types of the goods to be delivered and the quantity of the goods to be delivered corresponding to each type of the goods to be delivered from the customer order analysis data;
acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
and acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating a goods taking instruction by the trolley goods taking route and the AGV trolley mark.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A warehouse management method, characterized in that the warehouse management method comprises:
acquiring customer order data, and identifying and analyzing the customer order data to obtain customer order analysis data;
acquiring the types of goods to be delivered and the quantity of the goods to be delivered corresponding to each type of goods to be delivered from the customer order analysis data;
acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
and acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating a goods taking instruction by using the trolley goods taking route and the AGV trolley mark.
2. The warehouse management method as claimed in claim 1, wherein the acquiring the customer order data, identifying and parsing the customer order data to obtain customer order parsed data, comprises:
identifying text data of the customer order data to obtain order text data;
and acquiring a preset warehouse goods code, and converting the text data of the order according to the warehouse goods code to obtain the analysis data of the customer order.
3. The warehouse management method according to claim 2, wherein the obtaining the types of the goods to be checked out and the number of the goods to be checked out corresponding to each type of the goods to be checked out from the customer order analysis data specifically includes:
matching and inquiring in the customer order analysis data by using the warehouse goods codes;
and acquiring the types of the goods to be delivered and the quantity of the goods to be delivered according to the matching inquiry result.
4. The warehouse management method according to claim 1, wherein the acquiring the AGV cart identifier corresponding to the customer order data according to the type of the goods to be delivered and the number of the goods to be delivered specifically includes:
acquiring corresponding cargo size data and cargo weight data according to each cargo type to be delivered;
calculating the load of the goods to be delivered of each goods type to be delivered according to the goods size data and the goods weight data acquired by each goods type to be delivered;
and acquiring a corresponding AGV trolley identifier according to the load bearing of the goods to be delivered.
5. The warehouse management method as claimed in claim 4, wherein the acquiring the position of the goods to be delivered according to the type of the goods to be delivered, generating a trolley pick-up route according to the position of the goods to be delivered, and generating a goods pick-up instruction by using the trolley pick-up route and the AGV trolley identifier, specifically includes:
sorting the types of the goods to be delivered according to the order of the goods to be delivered from big to small, and acquiring the corresponding goods to be delivered positions according to the sorting result;
and planning a path of the goods to be delivered to obtain the trolley goods taking route.
6. A warehouse management device, the warehouse management device comprising:
the order acquisition module is used for acquiring customer order data, identifying and analyzing the customer order data and obtaining customer order analysis data;
the goods information acquisition module is used for acquiring the types of goods to be delivered and the quantity of the goods to be delivered corresponding to each type of goods to be delivered from the customer order analysis data;
the trolley screening module is used for acquiring AGV trolley identifications corresponding to the customer order data according to the types of the goods to be delivered and the quantity of the goods to be delivered;
the goods delivery module is used for acquiring the goods to be delivered according to the goods to be delivered, generating a trolley goods taking route according to the goods to be delivered, and generating goods taking instructions by the trolley goods taking route and the AGV trolley identification.
7. The warehouse management device as claimed in claim 6, wherein the order acquisition module includes:
the character recognition sub-module is used for recognizing the character data of the customer order data to obtain the order character data;
and the text analysis sub-module is used for acquiring a preset warehouse goods code, and converting the text data of the order according to the warehouse goods code to obtain the customer order analysis data.
8. The warehouse management device as claimed in claim 7, wherein the cargo information retrieval module includes:
a matching inquiry sub-module, configured to use the warehouse cargo code to perform matching inquiry in the customer order analysis data;
and the cargo information acquisition sub-module is used for acquiring the types of the cargoes to be delivered and the quantity of the cargoes to be delivered according to the matching query result.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the warehouse management method as claimed in any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the warehouse management method of any one of claims 1 to 5.
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