CN114580997A

CN114580997A - Goods delivery method, electronic device, storage medium, and computer program product

Info

Publication number: CN114580997A
Application number: CN202210114058.3A
Authority: CN
Inventors: 郑若辰
Original assignee: Beijing Kuangshi Robot Technology Co Ltd
Current assignee: Beijing Kuangshi Robot Technology Co Ltd
Priority date: 2022-01-30
Filing date: 2022-01-30
Publication date: 2022-06-03

Abstract

The present disclosure relates to a goods delivery method, an electronic device, a storage medium, and a computer program product. The goods delivery method comprises the following steps: determining the required quantity of each order to the target goods; determining a loading amount of the target item in each bin loaded with the target item; matching each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin to obtain at least one target order and at least one target bin meeting target matching conditions; wherein the target matching condition comprises that the total loading quantity of the target goods is greater than or equal to the total demand quantity, and the difference value between the total loading quantity and the total demand quantity is less than a target threshold value; and controlling the carrier to transport the target material box to the corresponding feeding port for feeding. The efficiency of goods delivery can be improved through the present disclosure.

Description

Goods delivery method, electronic device, storage medium, and computer program product

Technical Field

The present disclosure relates to the field of logistics technologies, and in particular, to a method for delivering goods out of a warehouse, an electronic device, a storage medium, and a computer program product.

Background

Currently, the delivery of goods is an important component of the logistics transportation chain. Generally, goods in a warehouse are loaded in bins, and the bins are transported to a transport line and a work station by a carrier during an unloading operation. The workers at the work station manually sort the goods conveyed by the conveying lines to the transporting vehicles and transport the goods to the feeding opening through a flap trolley (Flip AGV, FA). The turnover plate trolley puts the transported goods into a turnover box in the feeding port, and the turnover box is packed and delivered or transported to the next station after being full of the goods.

Generally, in order to facilitate subsequent work of goods, such as bringing the goods to the shelf in a shop, the goods need to be delivered according to the dimension of the goods attribute, and in such a scenario, it is generally required that the goods contained in each turnover box are the goods with the same goods attribute as much as possible, such as certain food with the same taste. Therefore, how to reasonably and efficiently complete the ex-warehouse task under the requirement becomes a technical problem which needs to be solved at present.

Disclosure of Invention

To overcome the problems in the related art, the present disclosure provides a goods delivery method, an electronic device, a storage medium, and a computer program product.

According to a first aspect of the embodiments of the present disclosure, there is provided an article delivery method, including:

determining the required quantity of each order to the target goods; determining a loading amount of the target item in each bin loaded with the target item; matching each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin to obtain at least one target order and at least one target bin meeting target matching conditions; wherein the target matching condition comprises that the total loading quantity of the target goods is greater than or equal to the total demand quantity, and the difference value between the total loading quantity and the total demand quantity is less than a target threshold value; and controlling the carrier to transport the target material box to the corresponding feeding port for feeding.

In one embodiment, the matching, based on the required quantity corresponding to each order and the loading quantity corresponding to each bin, each order with each bin to obtain at least one target order and at least one target bin meeting a target matching condition includes: determining all order combinations corresponding to the orders with the demand on the target goods, wherein each order combination comprises one or more orders; determining all bin combinations corresponding to the bins loaded with the target goods, wherein each bin combination comprises one or more bins; respectively determining the total quantity of the demand of each order combination on the target goods; and respectively determining the total loading quantity of each bin combination to the target goods; and determining a target bin combination and a target order combination between the total demand quantity and the total loading quantity, wherein the target bin combination and the target order combination meet the target matching condition, and obtaining the at least one target order and the at least one target bin based on the target order combination and the target bin combination.

In one embodiment, the obtaining the at least one target order and the at least one target bin based on the target order combination and the target bin combination includes: if a group of target order combinations and target bin combinations meeting the target matching conditions exist, determining each order in the target order combinations as the target order and determining each bin in the target bin combinations as the target bin; and if a plurality of groups of target order combinations and target bin combinations meeting the target matching conditions exist, determining the at least one target order and the at least one target bin in the plurality of groups of target order combinations and target bin combinations meeting the target matching conditions based on the number of bins in the target bin combinations and/or the number of orders in the target order combinations.

In one embodiment, the determining the at least one target order and the at least one target bin among a plurality of target order combinations and target bin combinations satisfying a target matching condition based on the number of bins in the target bin combination and/or the number of orders in the target order combination comprises: screening target order combinations and target bin combinations which meet a first quantity condition from a plurality of groups of target order combinations and target bin combinations which meet the target matching condition, wherein the first quantity condition comprises that the number of bins in the target bin combinations is the largest; if a group of target order combinations and target bin combinations meeting the first quantity condition exist, determining each order in the target order combinations meeting the first quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin; if a plurality of groups of target order combinations and target bin combinations meeting the first quantity condition exist, screening the target order combinations and the target bin combinations meeting a second quantity condition from the plurality of groups of target order combinations and target bin combinations meeting the first quantity condition, wherein the second quantity condition comprises that the order quantity in the target order combinations is the largest; and if a group of target order combinations and target bin combinations meeting the second quantity condition exist, determining each order in the target order combinations meeting the second quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin.

In one embodiment, the method further comprises: if a plurality of groups of target order combinations and target bin combinations meeting the second quantity condition exist, judging whether returned bins exist in the target bin combinations meeting the second quantity condition; if yes, determining each bin in a target bin combination to which the returned bin belongs as a target bin, and determining each order in the target order combination corresponding to the target bin combination as a target order; if not, randomly selecting a group of target order combination and target bin combination from the target order combination and the target bin combination meeting the second quantity condition, determining each order in the randomly selected target order combination as a target order, and determining each bin in the target bin combination corresponding to the target order combination as a target bin.

In one embodiment, if at least one target order and at least one target bin are not available that satisfy the target matching condition, the method further comprises: determining at least one target bin in each bin based on the total number of demands of all the orders on the target item, the total number of loads of the target item by the at least one target bin being greater than or equal to the total number of demands of all the orders on the target item.

In one embodiment, the controlling the cart to transport the target bin to a corresponding feeder port for delivery comprises: judging whether the target material box meets a throwing condition; the throwing condition comprises that a feeding port corresponding to the target material box is in an idle state currently, or the feeding port corresponding to the target material box is not in the idle state, but the category of the goods being thrown is the same as that of the goods corresponding to the target material box; if so, controlling the carrier to transport the target material box to a corresponding feeding port for throwing; and if not, controlling the carrier to move to a target area to wait for executing a feeding task.

According to a second aspect of the embodiments of the present disclosure, there is provided an article delivery apparatus including:

the determining unit is used for determining the required quantity of each order to the target goods; and for determining a loading quantity of the target item in each bin loaded with the target item; the processing unit is used for matching each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin to obtain at least one target order and at least one target bin which meet target matching conditions; wherein the target matching condition comprises that the total loading quantity of the target goods is greater than or equal to the total demand quantity, and the difference value between the total loading quantity and the total demand quantity is less than a target threshold value; and the control unit is used for controlling the transport vehicle to transport the target material box to the corresponding feeding port for feeding.

In one embodiment, the processing unit matches each order with each bin based on a required quantity corresponding to each order and a loading quantity corresponding to each bin in the following manner, so as to obtain at least one target order and at least one target bin meeting a target matching condition: determining all order combinations corresponding to the orders with the demand on the target goods, wherein each order combination comprises one or more orders; determining all bin combinations corresponding to the bins loaded with the target goods, wherein each bin combination comprises one or more bins; respectively determining the total quantity of the demand of each order combination on the target goods; and respectively determining the total loading quantity of each bin combination to the target goods; and determining a target bin combination and a target order combination between the total demand quantity and the total loading quantity, wherein the target bin combination and the target order combination meet the target matching condition, and obtaining the at least one target order and the at least one target bin based on the target order combination and the target bin combination.

In one embodiment, the processing unit obtains the at least one target order and the at least one target bin based on the target order combination and the target bin combination as follows: if a group of target order combinations and target bin combinations meeting the target matching conditions exist, determining each order in the target order combinations as the target order and determining each bin in the target bin combinations as the target bin; and if a plurality of groups of target order combinations and target bin combinations meeting the target matching conditions exist, determining at least one target order and at least one target bin in the plurality of groups of target order combinations and target bin combinations meeting the target matching conditions based on the number of bins in the target bin combinations and/or the number of orders in the target order combinations.

In one embodiment, the processing unit determines the at least one target order and the at least one target bin from a plurality of target order combinations and target bin combinations that satisfy a target matching condition based on the number of bins in the target bin combination and/or the number of orders in the target order combination as follows: screening target order combinations and target bin combinations which meet a first quantity condition from a plurality of groups of target order combinations and target bin combinations which meet the target matching condition, wherein the first quantity condition comprises that the number of bins in the target bin combinations is the largest; if a group of target order combinations and target bin combinations meeting the first quantity condition exist, determining each order in the target order combinations meeting the first quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin; if a plurality of groups of target order combinations and target bin combinations meeting the first quantity condition exist, screening the target order combinations and the target bin combinations meeting a second quantity condition from the plurality of groups of target order combinations and target bin combinations meeting the first quantity condition, wherein the second quantity condition comprises that the order quantity in the target order combinations is the largest; and if a group of target order combinations and target bin combinations meeting the second quantity condition exist, determining each order in the target order combinations meeting the second quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin.

In one embodiment, the processing unit is further configured to: if a plurality of groups of target order combinations and target bin combinations meeting the second quantity condition exist, judging whether returned bins exist in the target bin combinations meeting the second quantity condition; if yes, determining each bin in a target bin combination to which the returned bin belongs as a target bin, and determining each order in the target order combination corresponding to the target bin combination as a target order; if not, randomly selecting a group of target order combinations and target bin combinations from the target order combinations and the target bin combinations meeting the second quantity condition, determining each order in the randomly selected target order combinations as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin.

In one embodiment, the processing unit is further configured to; and under the condition that at least one target order and at least one target bin meeting the target matching condition are obtained, determining at least one target bin in each bin based on the total quantity of the demands of all the orders on the target goods, wherein the total loading quantity of the at least one target bin on the target goods is greater than or equal to the total quantity of the demands of all the orders on the target goods.

In one embodiment, the control unit controls the transport vehicle to transport the target bin to the corresponding material feeding port for throwing according to the following modes: judging whether the target material box meets a throwing condition; the throwing condition comprises that a feeding port corresponding to the target material box is in an idle state currently, or the feeding port corresponding to the target material box is not in the idle state, but the category of the goods being thrown is the same as that of the goods corresponding to the target material box; if yes, controlling the transport vehicle to transport the target material box to a corresponding material feeding port for feeding; and if not, controlling the carrier to move to a target area to wait for executing a feeding task.

According to a third aspect of an embodiment of the present disclosure, there is provided an electronic apparatus including:

a processor; a memory for storing processor-executable instructions;

wherein the processor is configured to: executing the goods delivery method described in the first aspect or any one of the embodiments of the first aspect.

According to a fourth aspect of the embodiments of the present disclosure, there is provided a storage medium, in which instructions are stored, and when executed by a processor, the instructions enable the processor to execute the method for exporting the goods according to the first aspect or any one of the embodiments of the first aspect.

According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product, the computer program product comprising a computer program that, when executed by a processor, implements the method of bringing out an item according to the first aspect or any one of the embodiments of the first aspect.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: a required quantity of the target item for each order may be determined, as well as a load quantity of the target item in each bin loaded with the target item. Furthermore, each order can be matched with each bin according to the required quantity corresponding to each order and the loading quantity corresponding to each bin, so that at least one target order and at least one target bin meeting target matching conditions are obtained, and the carrier is controlled to transport the target bins to corresponding feed ports for feeding. Because the quantity of the delivered target goods (namely, the loading quantity of the target goods by the target bin) is more than or equal to the quantity of the target goods required by the target order, the delivered target goods can meet the goods requirement of the target order for the target goods at one time, and the aim of avoiding more redundant goods can be achieved through the matching of the quantity, so that the workload of bin rollback increased due to the generation of more redundant goods is reduced, and the transportation pressure of a bin transportation line can be relieved to a certain extent.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1 is a flow diagram illustrating a method of ex-warehousing items according to an exemplary embodiment.

FIG. 2 is a flow chart illustrating a method for matching orders with bins to obtain at least one target order and at least one target bin that satisfy target matching criteria according to an exemplary embodiment.

FIG. 3 is a flow chart illustrating a method for obtaining at least one target order and at least one target bin based on a target order combination and a target bin combination, according to an exemplary embodiment.

FIG. 4 is a flow chart illustrating another method for deriving at least one target order and at least one target bin based on a combination of target orders and a combination of target bins, according to an exemplary embodiment.

FIG. 5 is a flow chart illustrating yet another method for deriving at least one target order and at least one target bin based on a combination of target orders and a combination of target bins, according to an exemplary embodiment.

FIG. 6 is a flow diagram illustrating another method of out-warehousing items according to an exemplary embodiment.

FIG. 7 is a flow chart illustrating yet another method of out-warehousing items according to an exemplary embodiment.

FIG. 8 is a block diagram illustrating an item checkout apparatus according to an exemplary embodiment.

FIG. 9 is a block diagram illustrating an electronic device for the ex-warehousing of items in accordance with an exemplary embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure.

In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only a subset of the embodiments of the present disclosure, and not all embodiments. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure. Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

With the development of Intelligent technologies such as internet of things, artificial intelligence and big data, the requirement for transformation and upgrading of the traditional Logistics industry by using the Intelligent technologies is stronger, and Intelligent Logistics (Intelligent Logistics System) becomes a research hotspot in the Logistics field. The intelligent logistics system is widely applied to basic activity links of material transportation, storage, delivery, packaging, loading and unloading, information service and the like by using artificial intelligence, big data, various information sensors, radio frequency identification technology, Global Positioning System (GPS) and other Internet of things devices and technologies, and realizes intelligent analysis and decision, automatic operation and high-efficiency optimization management in the material management process. The internet of things technology comprises sensing equipment, an RFID technology, laser infrared scanning, infrared induction identification and the like, the internet of things can effectively connect materials in logistics with a network, the materials can be monitored in real time, environmental data such as humidity and temperature of a warehouse can be sensed, and the storage environment of the materials is guaranteed. All data in logistics can be sensed and collected through a big data technology, the data are uploaded to an information platform data layer, operations such as filtering, mining and analyzing are carried out on the data, and finally accurate data support is provided for business processes (such as links of transportation, warehousing, storing and taking, sorting, packaging, sorting, ex-warehouse, checking, distribution and the like). The application direction of artificial intelligence in logistics can be roughly divided into two types: 1) the AI technology is used for endowing intelligent equipment such as an unmanned truck, a carrier, AMR, a forklift, a shuttle, a stacker, an unmanned delivery vehicle, an unmanned aerial vehicle, a service robot, a mechanical arm, an intelligent terminal and the like to replace part of manpower; 2) the manual efficiency is improved through a software system such as a transportation equipment management system, a storage management system, an equipment scheduling system, an order distribution system and the like driven by technologies or algorithms such as computer vision, machine learning, operation and research optimization and the like. With the research and development of intelligent logistics, the technology is applied to a plurality of fields, such as retail and electronic commerce, electronic products, tobacco, medicine, industrial manufacturing, shoes and clothes, textiles, food and the like.

Currently, the delivery of goods is an important component of the logistics transportation chain. Generally, goods in a warehouse are loaded in bins, and the bins are transported to a transport line and a work station by a carrier during an unloading operation. The worker in the station manually selects the goods transported by the transport line to the carrier and transports the goods to the feeding port by the turning plate trolley. The turnover plate trolley puts the transported goods into a turnover box in the feeding port, and after the turnover box is full of the goods, the goods are packed and delivered or transported to the next station.

In the related art, the articles contained in each turnover box need to be the same kind of articles. For example, if the commodity is a food product, the commodity category may be taste, weight size; if the commodity is stationery, the commodity category can be model, material, size and the like, and different settings can be performed according to different business scenes. In the related art, the orders and the feeding ports are matched one by one, and the feeding port matched with the order can be matched with the next order again under the condition that all goods required by the current order are fully collected and packed. Under the condition of determining the order, the carrying robot (such as an AGV, an AMR or a CTU) sends goods required by the order to the workstations with idle branch lines in a bin mode in random order, so that the workers at the work stations can manually feed the carrying vehicles, and then the goods are delivered to the corresponding material outlets through the carrying vehicles (such as a plate turning trolley). The bin-down mode in the related art generally causes the problems of large side pressure of the truck and low delivery efficiency.

For example, each of the material outlets can only receive the same type of material when receiving the material until the quantity of the received material can meet the demand of the order for the material. In this case, if there is a carrier carrying the goods of the other category required by the order that needs to go to the material inlet for goods delivery, the carrier must go to the temporary storage area to wait until the goods of the previous category are completely delivered. If many such situations occur simultaneously, too many carriers can be in a waiting state and cannot perform normal work, which can seriously occupy carrier resources and temporary storage area resources, thereby affecting the overall ex-warehouse efficiency. And because under this condition, the carrier that is in normal operating condition is less, can receive the influence at the input efficiency of throwing goods, and this further aggravates the latency of carrier in the buffer, and then leads to the carrier resource by further extravagant to and lead to whole warehouse-out efficiency further to descend.

Since the bins must be sorted once they have entered the station from the conveyor line, the likelihood that items which cannot be immediately fed to the infeed port are delivered to the station is minimised.

The embodiment of the disclosure provides a goods delivery method, which can determine a target order and a target bin according to the required quantity of the order for the target goods and the loading quantity of the target goods loaded in the bin loaded with the target goods. And the loading quantity of the target material boxes is greater than or equal to the required quantity of the target orders. On the basis of the target goods, only the target bin which can meet the goods requirement of the target order for the target goods at one time is issued. Furthermore, goods delivered by the carrier can be directly fed, so that the problem of resource waste of the carrier caused by excessive number of carriers in a waiting state is solved. Simultaneously, along with the promotion of carrier work efficiency, the efficiency of goods ex-warehouse also can promote.

Fig. 1 is a flow chart illustrating a method of ex-warehousing items according to an exemplary embodiment, as shown in fig. 1, including the following steps.

In step S11, the required quantity of the target item for each order is determined.

In the embodiment of the present disclosure, a warehouse execution system runs on the electronic device for executing the scheme of the present application, and the system may acquire order information of a target warehouse, thereby determining a required quantity of each order for a target item based on each order information.

In step S12, the load number of the target goods in each bin loaded with the target goods is determined.

In the embodiment of the present disclosure, each bin, the loading number of which is to be determined, may be understood as a bin currently transported by the conveyor line. In the example, a detection position is arranged in the conveying line, and detection equipment capable of effectively identifying the goods type and the loading quantity loaded by the bin is configured at the detection position. In one embodiment, the goods type labels can be preset for each bin conveyed to the conveying line, a detection device for identifying the labels is arranged at the detection position, the detection device can identify the labels of the bin conveyed to the detection position, so that whether the goods loaded by the bin are the target goods or not can be known, and the loading quantity of the target goods loaded by the bin can be known.

In step S13, matching each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin, so as to obtain at least one target order and at least one target bin that satisfy the target matching condition.

The target matching condition comprises that the total loading quantity of the target goods is larger than or equal to the total demand quantity, and the difference value between the total loading quantity and the total demand quantity is smaller than a target threshold value.

Optionally, the specific value of the target threshold may be set according to an actual requirement, and the embodiment of the present disclosure is not limited to the specific value of the target threshold.

In step S14, the truck is controlled to transport the target bin to the corresponding material inlet for throwing.

It should be understood that the corresponding material inlet refers to a material inlet to which the target order belongs, the carrier may be a plate-turning trolley, and of course, other types of transport trolleys may also be used, and the specific type of the carrier is not limited in the embodiments of the present disclosure.

For example, if the loading quantity of the target goods in the target bin is equal to the quantity of the target goods required by the target order, the carrier can just meet the requirement of the target order on the target goods after throwing the target goods loaded in the target bin to the corresponding throwing port. In this case, the target goods loaded in each target bin are thrown, and no target goods remain. If the loading quantity of the target goods in the target bin is larger than the quantity of the target goods required by the target order, the target goods which are loaded in the target bin can be left in the target bin after the target goods are thrown into the corresponding feed opening by the carrier. In this case, the bin loaded with the remaining targeted goods is returned to the corresponding conveyor line for the next matching and feeding.

According to the goods delivery method provided by the embodiment of the disclosure, each order and each bin can be matched according to the quantity of the orders required by the target goods and the loading quantity of the bins for the target goods, and the carrier is controlled to transport the target bins to the corresponding material feeding ports for delivery under the condition that at least one target order and at least one target bin meeting the target matching conditions are obtained. The loading quantity of the target goods in the target bin is larger than or equal to the quantity of the target goods required by the target order, so that the aim of avoiding more redundant goods can be achieved, the workload of bin rollback increased by the generation of more redundant goods is reduced, and the transportation pressure of a bin transportation line can be relieved to a certain extent. In addition, through the quantity matching, the target goods loaded by the target bin can meet the requirement of each target order on the target goods at one time, and the method can solve the problem of resource waste of the transport vehicles caused by the excessive quantity of the transport vehicles in the waiting state. And, it can be understood that, by adjusting the target threshold, the quantity control of the target goods left after the material feeding can be realized. Furthermore, aiming at the whole delivery process, the number of the work bin returned to the conveying line can be ensured to be as small as possible, the dispatching times of each work bin are reduced, and meanwhile, the operation cost can be saved.

For example, for the target item, all order combinations corresponding to each order for which there is a demand for the target item may be determined, and all bin combinations corresponding to each bin loaded with the target item may be determined. Based on the order combination and the bin combination, a target order and a target bin can be determined.

FIG. 2 is a flowchart illustrating a method for matching orders with bins to obtain at least one target order and at least one target bin satisfying target matching conditions according to an exemplary embodiment, as shown in FIG. 2, including the following steps S21 through S23.

In step S21, all order combinations corresponding to the respective orders for which there is a demand for the target item are determined, and all bin combinations corresponding to the respective bins loaded with the target item are determined.

Each order combination comprises one or more orders, and each bin combination comprises one or more bins.

For example, if the bin loaded with the target goods includes bin 1, bin 2, and bin 3, the bin combination obtained by combining bin 1, bin 2, and bin 3 may include, for example, { bin 1}, { bin 2}, { bin 3}, { bin 1, bin 2}, { bin 1, bin 3}, { bin 2, bin 3}, and { bin 1, bin 2, bin 3 }. In addition, for example, the orders with the demand for the target goods may be combined in a manner the same as or similar to the bin combination to obtain all the order combinations, which is not described herein again.

In addition, it should be noted that, in the above step S21, all possible combinations of orders and all possible combinations of bins need to be obtained.

In step S22, the total quantity of the demand for the target items for each order combination is determined, and the total quantity of the loads for the target items for each bin combination is determined.

For example, if there are currently an order c, an order e, an order f and an order h which demand the target item, and the demand quantity of the order c for the target item is 4, the demand quantity of the order e for the target item is 20, the demand quantity of the order f for the target item is 15, and the demand quantity of the order h for the target item is 20, the total demand quantity of the order combination { order c, order e, order f, order h } for the target item is 59. Further, as an example, if there is a bin 1 loaded with a target item and the number of loads of the bin 1 to the target item is 59, the total number of loads included in the bin group { bin 1} is 59.

In step S23, a target bin combination and a target order combination between the total demand quantity and the total load quantity are determined, and at least one target order and at least one target bin are obtained based on the target order combination and the target bin combination.

In one example, if the target threshold is 5, and there is currently a bin combination { bin 1} loaded with the target item, and there is an order combination { order c, order e, order f, order h } of the demand target item, and the bin combination { bin 1} has a total load quantity of 5 for the target item, and the demand quantity of order c for the target item is 4, the demand quantity of order e for the target item is 20, the demand quantity of order f for the target item is 15, and the demand quantity of order h for the target item is 20. Since the total loading amount (for example, 59) of the bin combination { bin 1} for the target item is equal to the total demand amount (for example, 4+20+15+20 ═ 59) of the order combination { order c, order e, order f, order h } for the target item, and the difference between the total loading amount (for example, 59) of the bin combination { bin 1} for the target item and the total demand amount (for example, 4+20+15+20 ═ 59) of the order combination { order c, order e, order f, order h } for the target item is smaller than the target threshold value, the target matching condition is satisfied between the bin combination { bin 1} and the order combination { order c, order e, order f, order h }.

In the embodiment of the disclosure, when the target order combination and the target bin combination meeting the target matching condition are obtained, the target order and the target bin meeting the target matching condition can be obtained as follows.

Fig. 3 is a flowchart illustrating a method for obtaining at least one target order and at least one target bin based on a target order combination and a target bin combination according to an exemplary embodiment, and as shown in fig. 3, steps S31 and S32 in the embodiment of the present disclosure are similar to the execution methods of steps S21 and S22 in fig. 2, and are not described herein again.

In step S33, a target bin combination and a target order combination between the total demand quantity and the total load quantity are determined that satisfy the target matching condition.

In step S34a, if there is a set of target order combinations and target bin combinations that satisfy the target matching condition, each order in the target order combinations is determined as a target order, and each bin in the target bin combinations is determined as a target bin.

In step S34b, if there are multiple target order combinations and target bin combinations that satisfy the target matching conditions, then at least one target order and at least one target bin are determined among the multiple target order combinations and target bin combinations that satisfy the target matching conditions based on the number of bins in the target bin combinations and/or the number of orders in the target order combinations.

According to the goods delivery method provided by the embodiment of the disclosure, aiming at the condition that only one group of target order combination and target bin combination meeting the target matching condition exists, each order in the target order combination meeting the target matching condition is directly determined as a target order, and each bin in the target bin combination is determined as a target bin. And aiming at the condition that a plurality of groups of order combinations and bin combinations meeting the target matching conditions exist, the plurality of groups of target order combinations and target bin combinations meeting the target matching conditions can be further screened through other conditions, such as bin number and/or order number, so as to obtain the target order combinations and the target bin combinations.

In one embodiment, the plurality of sets of target order combinations and target bin combinations satisfying the target matching condition are further filtered by the order number, for example, the set of target order combination and target bin combination having the highest order number may be determined from the plurality of sets of target order combinations and target bin combinations satisfying the target matching condition. On the basis, the carrier is controlled to drag and drop the target goods, so that the requirement of the target goods for the orders as many as possible can be met as soon as possible. In addition, according to actual requirements, a plurality of groups of target order combinations and target bin combinations meeting the target matching conditions can be further screened in a mode of minimizing the order number or other limitation modes aiming at the order number, and the method is not specifically limited by the disclosure.

In another embodiment, the plurality of target order combinations and target bin combinations satisfying the target matching condition are further filtered by bin number, for example, the target order combination and target bin combination with the highest bin number may be determined from the plurality of target order combinations and target bin combinations satisfying the target matching condition. On the basis, the carrier is controlled to drag and drop the target goods, so that as many bins as possible can be delivered as soon as possible, and the possibility of bin accumulation in the conveying line is reduced. In addition, according to actual requirements, a plurality of groups of target order combinations and target bin combinations meeting the target matching conditions can be further screened in a mode of minimizing the number of bins or other limitations for the number of bins, and the disclosure does not specifically limit this.

The following describes a process of determining at least one target order and at least one target bin satisfying a target matching condition from a plurality of sets of target order combinations and target bin combinations satisfying the target matching condition, taking the maximum bin number and the maximum order number as the screening conditions. Also, for convenience of description hereinafter, the quantity condition set with the maximum number of bins in the target bin combination will be referred to as a first quantity condition, and the quantity condition set with the maximum number of orders in the target order combination will be referred to as a second quantity condition.

Fig. 4 is a flowchart illustrating another method for obtaining at least one target order and at least one target bin based on a target order combination and a target bin combination according to an exemplary embodiment, and as shown in fig. 4, steps S41, S42, S43, and S44a in this embodiment of the disclosure are similar to the execution methods of steps S31, S32, S33, and S34a in fig. 3, and are not described herein again.

In step S44b, if there are a plurality of target order combinations and target bin combinations that satisfy the target matching conditions, the target order combinations and the target bin combinations that satisfy the first quantity conditions are selected from the plurality of target order combinations and target bin combinations that satisfy the target matching conditions.

For example, if a target bin combination and a target order combination satisfying the target matching condition are determined, the target bin combination comprises bin combination { bin 1, bin 2} and order combination { order a, order b, order c, order d, order e, order f, order g, order h, order i }, and bin combination { bin 1} and order combination { order c, order e, order f, order h }. Since the number of bins included in bin group { bin 1, bin 2} is 2 and the number of bins included in bin group { bin 1} is 1, the bin group { bin 1, bin 2} and the order group { order a, order b, order c, order d, order e, order f, order g, order h, order i } may be determined as a target bin group and a target order group satisfying the first quantity condition.

In step S45a, if there is a group of target order combinations and target bin combinations satisfying the first quantity condition, each order in the target order combinations satisfying the first quantity condition is determined as a target order, and each bin in the target bin combination corresponding to the target order combination is determined as a target bin.

For example, if the bin combination { bin 1, bin 2} and the order combination { order a, order b, order c, order d, order e, order f, order g, order h, order i } are a unique set of target order combinations and target bin combinations that satisfy the first quantity condition, then the target bin includes bin 1 and bin 2 and the target order includes order a, order b, order c, order d, order e, order f, order g, order h, and order i.

In step S45b, if there are a plurality of target order combinations and target bin combinations satisfying the first quantity condition, the target order combinations and target bin combinations satisfying the second quantity condition are selected from the plurality of target order combinations and target bin combinations satisfying the first quantity condition.

For example, if the target bin combination and the target order combination satisfying the target matching condition include bin combination { bin 1} and order combination { order c, order e, order f, order h }, and bin combination { bin 2} and order combination { order g, order h }, since bin combination { bin 1} includes 1 number of bins and bin combination { bin 2} includes 1 number of bins, there are two sets of target order combinations and target bin combinations satisfying the first quantity condition. Based on this, further screening can be performed by the second quantitative condition. For example, since the order combination { order c, order e, order f, order h } includes an order quantity of 4 and the order combination { order g, order h } includes an order quantity of 2, the bin combination { bin 1} and the order combination { order c, order e, order f, order h } are a target bin combination and a target order combination that satisfy the second quantity condition.

In step S46, if there is a group of target order combinations and target bin combinations that satisfy the second quantity condition, each order in the target order combinations that satisfy the second quantity condition is determined as a target order, and each bin in the target bin combination corresponding to the target order combination is determined as a target bin.

In the embodiment of the present disclosure, different bin combinations and different order combinations may be regarded as different sets, and a process of screening a target bin combination and a target order combination may be regarded as a process of handling a set of variable seeds and a (Subset Sum Problem) Problem. In one embodiment, the bin combination and the order combination can be matched through a polynomial time approximation algorithm, and a group of target bin combinations and target order combinations are obtained by taking the target matching condition, the first quantity condition and the second quantity condition as screening conditions in sequence. The polynomial time approximation algorithm has the advantage of high processing efficiency for a large number of samples, so that the target bin combination and the target order combination can be rapidly screened.

In addition, a plurality of sets of target bin combinations and target order combinations may still be obtained by a screening manner using the target matching condition, the first quantity condition and the second quantity condition as the screening conditions. In this case, one of the target bin combinations and the target order combination may be randomly selected according to actual requirements, and the bins in the target bin combinations may be determined as target bins, and the orders in the target order combinations may be determined as target orders.

Normally, bins, for which loaded items are not all dropped, are returned to the conveyor line for the next distribution. Since such bins are usually loaded with a small amount of articles and the conveyor line can only carry a limited number of bins, if the returned bins are placed in the conveyor line for a long time, the article temporary storage amount of the whole conveyor line is affected, and the bin accumulation of the conveyor line is easy to occur. In one embodiment, in order to improve the problem that returned bins are placed in the conveying line for a long time, in the case that multiple sets of target order combinations and target bin combinations satisfying the second quantity condition exist, the final target bin combination and target order combination can be determined according to whether returned bins loaded with target goods exist as the screening condition for further screening.

Fig. 5 is a flowchart illustrating a method for obtaining at least one target order and at least one target bin based on a target order combination and a target bin combination according to an exemplary embodiment, and as shown in fig. 5, steps S51, S52, S53, S54a, S54b, S55a, S55b, and S56a in this disclosed embodiment are similar to the execution methods of steps S41, S42, S43, S44a, S44b, S45a, S45b, and S46 in fig. 4, and are not repeated herein.

At step S56b, if there are multiple target order combinations and target bin combinations that satisfy the second quantity condition, it is determined whether there is a returned bin loaded with the target item in the multiple target order combinations and target bin combinations that satisfy the second quantity condition.

In step S57a, if there is any, each bin in the target bin group to which the returned bin belongs is determined as a target bin, and each order in the target order group corresponding to the target bin group is determined as a target order.

For example, if the target order combination and the target bin combination include bin combination { bin 2} and order combination { order g, order h }, and include bin combination { bin 3} and order combination { order a, order e }, and bin 2 is the returned bin, then order a and order e may be determined to be the target order and bin 2 may be determined to be the target bin. In addition, if there are a plurality of target order combinations and target bin combinations each including a returned bin loaded with target goods, the number of returned bins may be the maximum as a screening condition, and a plurality of target order combinations including returned bins and further screening of the target bin combinations may be performed.

If not, at step S57b, a group of target order combinations and target bin combinations is randomly selected from the target order combinations and target bin combinations satisfying the second quantity condition, each order in the randomly selected target order combinations is determined as a target order, and each bin in the target bin combinations corresponding to the target order combinations is determined as a target bin.

According to the goods delivery method provided by the embodiment of the disclosure, the bin accumulation problem in the conveying line can be solved by preferentially issuing the bin which is returned to the conveying line, and the overall operation efficiency is further improved.

In the embodiment of the disclosure, the material box conveyed to the conveying line can successively flow through the detection position arranged in the conveying line, and the type of goods loaded by the material box is detected through the detection equipment arranged at the detection position. On the basis, it can be determined whether there is a target bin group satisfying the issuing condition (i.e., target matching condition) among bins loaded with target goods. And if the target bin and the target order meeting the target matching condition do not exist currently, the bin loaded with the target goods is not issued. In addition, the detection equipment arranged at the detection position can continuously monitor the bin which is newly input to the conveying line. Further, matching of bin to order may be performed again in case a newly entered bin loaded with target goods is detected. And if the target material box and the target order of the material box meeting the target matching condition are determined to exist, issuing the corresponding target material box, and further transporting and throwing the corresponding target material box to the corresponding material throwing port to finish the goods delivery process.

In the embodiment of the disclosure, under the condition that the target bin and the target order meeting the target matching condition are obtained, the purpose of controlling the carrier to transport the target bin and to charge the target bin is to enable the loading number of the target bin issued at one time to meet the required number of the target order for the target goods. Therefore, the operation pressure on the side of the carrier can be reduced by reducing the possibility that the carrier enters the suspension area to wait for feeding. However, it can be understood that the manner of controlling the carrier to feed only when the target matching condition is met between the bin and the order adds a limit to the issue of the bin, and the side increases the bearing pressure of the conveyor line side on the bin.

In one example, the target threshold may be adjusted for a condition where the conveyor line side pressure is greater than the truck side pressure. For example, a bearable bin number threshold value can be preset for the conveying line, and then the target threshold value is increased when the number of bins in the conveying line exceeds the bin number threshold value. Based on this, the pressure between the conveyor line side and the carrier side can be balanced.

Typically, there is usually one bin for items, i.e. small quantities, that can meet the needs of the entire order for the categories of items included in the order. For such goods, the target matching condition is used as a screening condition, and the issuing of a corresponding bin cannot be realized generally. For example, if there is currently an order j, an order k, and an order l requiring the target items, and the total number of the demands for the target items is 8, only the bin 4 in the current transfer line is loaded with the target items, and the loading number for the target items is 30. Since the target threshold is usually set to a small value, the difference between the total number of demands for all orders and the total number of loads of one bin is large for small amounts of goods, and matching of bins and orders cannot be achieved.

In one embodiment, bins may be re-screened in a matching manner that matches such small quantities of goods in the absence of at least one target order and at least one target bin that satisfy target matching conditions, as exemplified below.

Fig. 6 is a flowchart illustrating another method for exporting goods according to an exemplary embodiment, where, as shown in fig. 6, step S61 and step S62 in this disclosed embodiment are similar to the execution method of step S11 and step S12 in fig. 1, and are not described herein again.

In step S63, each order is matched to each bin based on the required quantity corresponding to each order and the loaded quantity corresponding to each bin.

In step S64a, if there is at least one target order and at least one target bin satisfying the target matching condition, the truck is controlled to transport the target bin to the corresponding material inlet for releasing.

In step S64b, if there is not at least one target order and at least one target bin meeting the target matching condition, determining at least one target bin in each bin based on the total number of demands for target goods for all orders, and controlling the carrier to transport the target bin to the corresponding feeding port for placement.

And the total loading quantity of the target goods of the at least one target bin is greater than or equal to the total quantity of the demands of all orders on the target goods.

The goods delivery method provided by the embodiment of the disclosure can give consideration to the bins of small goods in the process of matching the bins and the orders, so that the demands of the orders for issuing goods of various goods are met.

For example, the truck may be controlled to transport the target bin to the corresponding material inlet for delivery as follows.

Fig. 7 is a flowchart illustrating another goods warehousing method according to an exemplary embodiment, and as shown in fig. 7, the execution methods of step S71, step S72, and step S73 in the embodiment of the present disclosure are similar to the execution methods of step S11, step S12, and step S13 in fig. 1, and are not described herein again.

In step S74, it is determined whether the target bin satisfies the launch condition.

Wherein the releasing condition comprises one of the following conditions:

the release condition is as follows: the corresponding feeding port of the target material box is in an idle state at present.

And (2) putting conditions are as follows: the material feeding port corresponding to the target material box is not in an idle state, but the type of the goods being fed is the same as that of the goods corresponding to the target material box.

In step S75a, if yes, the truck is controlled to transport the target bin to the corresponding material inlet for throwing.

In step S75b, if not, the truck is controlled to move to the target area to wait for the material feeding task.

According to the goods delivery method provided by the embodiment of the disclosure, the transport vehicle can be controlled to deliver the target bin and the material inlet corresponding to the numerical value under the condition that the material inlet corresponding to the target bin is in the idle state currently or the material inlet corresponding to the target bin is not in the idle state but the type of the delivered goods is the same as the type of the delivered goods. It is understood that the corresponding outlet is the outlet to which the target order belongs.

The goods delivery method provided by the embodiment of the disclosure can be comprehensively managed by a Warehouse Execution System (WES).

In the embodiment of the disclosure, aiming at the order for requiring the target goods and the bin loaded with the target goods, the matching between the order and the bin can be carried out, and the target order and the target bin meeting the target matching condition can be determined. Based on this, can control the carrier and transport the target workbin to corresponding dog-house and put in, can effectively reduce the order because of the goods demand that target goods can not once only satisfy the target order and the condition of material is thrown in the stagnation appears to alleviate the circumstances that the dog-house occupy, carrier occupy and the buffer occupies. In addition, the method can reduce the number of the bins with the residual goods on the conveying line as much as possible and reduce the condition that the bins return from the work station to the conveying line. In addition, the method can relieve the pressure on the side of the carrier vehicle to a greater extent under the condition that the congestion degree of the conveying line is less, and relieve the pressure on the branch line of the workstation, thereby indirectly reducing the waiting time of feeding. Furthermore, this disclosure still issues the scheme to the workbin when conveyer line pressure is great, alleviates the pressure of conveyer line side through the mode of relaxing the workbin and issuing the condition to this promotion that realizes goods warehouse-out flow overall efficiency.

Based on the same conception, the embodiment of the disclosure also provides a goods delivery device.

It is understood that the goods delivery device provided by the embodiment of the present disclosure includes a hardware structure and/or a software module for performing each function in order to realize the above functions. The disclosed embodiments can be implemented in hardware or a combination of hardware and computer software, in combination with the exemplary elements and algorithm steps disclosed in the disclosed embodiments. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

Figure 8 is a block diagram illustrating an item rollout apparatus 100 according to one exemplary embodiment. Referring to fig. 8, a determination unit 101, a processing unit 102, and a control unit 103 are included.

A determining unit 101 is used for determining the required quantity of the target goods for each order. And for determining a load quantity of the target items in each bin loaded with the target items. And the processing unit 102 is configured to match each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin, so as to obtain at least one target order and at least one target bin meeting the target matching condition. The target matching condition comprises that the total loading quantity of the target goods is larger than or equal to the total demand quantity, and the difference value between the total loading quantity and the total demand quantity is smaller than a target threshold value. And the control unit 103 is used for controlling the transport vehicle to transport the target bin to the corresponding feeding port for throwing.

In one embodiment, the processing unit 102 matches each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin, to obtain at least one target order and at least one target bin meeting the target matching condition, as follows: all order combinations corresponding to the various orders with the demand for the target goods are determined, and each order combination comprises one or more orders. And determining all bin combinations corresponding to the bins loaded with the target goods, each bin combination comprising one or more bins. And respectively determining the total quantity of the demands of each order combination on the target goods. And respectively determining the total loading quantity of each bin combination to the target goods. And determining a target bin combination and a target order combination which meet a target matching condition between the total demand quantity and the total loading quantity, and obtaining at least one target order and at least one target bin based on the target order combination and the target bin combination.

In one embodiment, the processing unit 102 obtains at least one target order and at least one target bin based on the target order combination and the target bin combination by: and if a group of target order combinations and target bin combinations meeting the target matching conditions exist, determining each order in the target order combinations as a target order, and determining each bin in the target bin combinations as a target bin. And if a plurality of groups of target order combinations and target bin combinations meeting the target matching conditions exist, determining at least one target order and at least one target bin in the plurality of groups of target order combinations and target bin combinations meeting the target matching conditions based on the number of bins in the target bin combinations and/or the number of orders in the target order combinations.

In one embodiment, the processing unit 102 determines at least one target order and at least one target bin among a plurality of target order combinations and target bin combinations that satisfy the target matching condition based on the number of bins in the target bin combination and/or the number of orders in the target order combination as follows: and screening target order combinations and target bin combinations which meet a first quantity condition from a plurality of groups of target order combinations and target bin combinations which meet the target matching condition, wherein the first quantity condition comprises that the bin number in the target bin combinations is the largest. If a group of target order combinations and target bin combinations meeting the first quantity condition exist, determining each order in the target order combinations meeting the first quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin. If a plurality of groups of target order combinations and target bin combinations meeting the first quantity condition exist, screening the target order combinations and the target bin combinations meeting the second quantity condition from the plurality of groups of target order combinations and target bin combinations meeting the first quantity condition, wherein the second quantity condition comprises that the order quantity in the target order combinations is the largest. And if a group of target order combinations and target bin combinations meeting the second quantity condition exist, determining each order in the target order combinations meeting the second quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin.

In one embodiment, the processing unit 102 is further configured to: and if a plurality of groups of target order combinations and target bin combinations meeting the second quantity condition exist, judging whether returned bins exist in the target bin combinations meeting the second quantity condition. If yes, determining each bin in the target bin combination to which the returned bin belongs as a target bin, and determining each order in the target order combination corresponding to the target bin combination as a target order. If not, randomly selecting a group of target order combination and target bin combination from the target order combination and the target bin combination meeting the second quantity condition, determining each order in the randomly selected target order combination as a target order, and determining each bin in the target bin combination corresponding to the target order combination as a target bin.

In one embodiment, the processing unit 102 is also configured to. And under the condition that at least one target order and at least one target bin meeting the target matching condition are obtained, determining at least one target bin in each bin based on the total quantity of the demands of all orders on the target goods, wherein the total loading quantity of the at least one target bin on the target goods is greater than or equal to the total quantity of the demands of all orders on the target goods.

In one embodiment, the control unit 103 controls the transport vehicle to transport the target bin to the corresponding material feeding port for throwing as follows: and judging whether the target material box meets the throwing condition. The releasing condition comprises that a material inlet corresponding to the target material box is in an idle state currently, or the material inlet corresponding to the target material box is not in the idle state, but the type of goods being released is the same as the type of goods corresponding to the target material box. If the situation is met, the carrier is controlled to transport the target material box to the corresponding feeding port for feeding. And if the target area does not meet the requirement, controlling the carrier to run to the target area to wait for executing the feeding task.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Fig. 9 is a block diagram of an electronic device 200 for the ex-warehousing of items, according to an exemplary embodiment.

As shown in fig. 9, one embodiment of the present disclosure provides an electronic device 200. The electronic device 200 includes a memory 201, a processor 202, and an Input/Output (I/O) interface 203. The memory 201 is used for storing instructions. And the processor 202 is used for calling the instructions stored in the memory 201 to execute the goods ex-warehouse method of the embodiment of the disclosure. The processor 202 is connected to the memory 201 and the I/O interface 203, respectively, for example, via a bus system and/or other connection mechanism (not shown). The memory 201 may be used to store programs and data, including programs of the goods ex-warehouse method involved in the embodiments of the present disclosure, and the processor 202 executes various functional applications and data processing of the electronic device 200 by executing the programs stored in the memory 201.

In the embodiment of the present disclosure, the processor 202 may be implemented in at least one hardware form of a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), and the processor 202 may be one or a combination of several Central Processing Units (CPUs) or other forms of Processing units with data Processing capability and/or instruction execution capability.

Memory 201 in the disclosed embodiments may comprise one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile Memory may include, for example, a Random Access Memory (RAM), a cache Memory (cache), and/or the like. The nonvolatile Memory may include, for example, a Read Only Memory (ROM), a Flash Memory (Flash Memory), a Hard Disk Drive (HDD), a Solid State Drive (SSD), or the like.

In the embodiment of the present disclosure, the I/O interface 203 may be used to receive input instructions (e.g., numeric or character information, and generate key signal inputs related to user settings and function control of the electronic apparatus 200, etc.), and may also output various information (e.g., images or sounds, etc.) to the outside. The I/O interface 203 in the disclosed embodiments may include one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a mouse, a joystick, a trackball, a microphone, a speaker, a touch panel, and the like.

In some embodiments, the present disclosure provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, perform any of the methods described above.

In some embodiments, the present disclosure provides a computer program product comprising a computer program which, when executed by a processor, performs any of the methods described above.

Although operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.

The methods and apparatus of the present disclosure can be accomplished with standard programming techniques with rule-based logic or other logic to accomplish the various method steps. It should also be noted that the words "means" and "module," as used herein and in the claims, is intended to encompass implementations using one or more lines of software code, and/or hardware implementations, and/or equipment for receiving inputs.

Any of the steps, operations, or procedures described herein may be performed or implemented using one or more hardware or software modules, alone or in combination with other devices. In one embodiment, the software modules are implemented using a computer program product comprising a computer readable medium containing computer program code, which is executable by a computer processor for performing any or all of the described steps, operations, or procedures.

The foregoing description of the implementations of the disclosure has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure to the precise form disclosed, and modifications and variations are possible in light of the above teachings or may be acquired from practice of the disclosure. The embodiments were chosen and described in order to explain the principles of the disclosure and its practical application to enable one skilled in the art to utilize the disclosure in various embodiments and with various modifications as are suited to the particular use contemplated.

It is understood that "a plurality" in this disclosure means two or more, and other words are analogous. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. The singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It will be further understood that the terms "first," "second," and the like are used to describe various information and that such information should not be limited by these terms. These terms are only used to distinguish one type of information from another and do not denote a particular order or importance. Indeed, the terms "first," "second," etc. are used interchangeably throughout. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure.

It will be further understood that, unless otherwise specified, "connected" includes direct connections between the two without the presence of other elements, as well as indirect connections between the two with the presence of other elements.

It is further to be understood that while operations are depicted in the drawings in a particular order, this is not to be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the scope of the appended claims.

Claims

1. A method of retrieving goods, the method comprising:

determining the required quantity of each order to the target goods;

determining a loading amount of the target item in each bin loaded with the target item;

matching each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin to obtain at least one target order and at least one target bin meeting target matching conditions; wherein the target matching condition comprises that the total loading quantity of the target goods is greater than or equal to the total demand quantity, and the difference value between the total loading quantity and the total demand quantity is less than a target threshold value;

and controlling the carrier to transport the target material box to the corresponding feeding port for feeding.

2. The method for delivering goods out of a warehouse according to claim 1, wherein the step of matching each order with each bin based on the required quantity corresponding to each order and the loading quantity corresponding to each bin to obtain at least one target order and at least one target bin meeting a target matching condition comprises the steps of:

determining all order combinations corresponding to the orders with the demand on the target goods, wherein each order combination comprises one or more orders; determining all bin combinations corresponding to the bins loaded with the target goods, wherein each bin combination comprises one or more bins;

respectively determining the total quantity of the demand of each order combination on the target goods; and respectively determining the total loading quantity of each bin combination to the target goods;

and determining a target bin combination and a target order combination between the total demand quantity and the total loading quantity, wherein the target bin combination and the target order combination meet the target matching condition, and obtaining the at least one target order and the at least one target bin based on the target order combination and the target bin combination.

3. The method of claim 2, wherein the deriving the at least one target order and the at least one target bin based on the target order combination and the target bin combination comprises:

if a group of target order combinations and target bin combinations meeting the target matching conditions exist, determining each order in the target order combinations as the target order and determining each bin in the target bin combinations as the target bin;

and if a plurality of groups of target order combinations and target bin combinations meeting the target matching conditions exist, determining the at least one target order and the at least one target bin in the plurality of groups of target order combinations and target bin combinations meeting the target matching conditions based on the number of bins in the target bin combinations and/or the number of orders in the target order combinations.

4. The method for goods delivery according to claim 3, wherein the determining the at least one target order and the at least one target bin in a plurality of sets of target order combinations and target bin combinations satisfying a target matching condition based on the number of bins in the target bin combination and/or the number of orders in the target order combination comprises:

screening target order combinations and target bin combinations which meet a first quantity condition from a plurality of groups of target order combinations and target bin combinations which meet the target matching condition, wherein the first quantity condition comprises that the number of bins in the target bin combinations is the largest;

if a group of target order combinations and target bin combinations meeting the first quantity condition exist, determining each order in the target order combinations meeting the first quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin;

if a plurality of groups of target order combinations and target bin combinations meeting the first quantity condition exist, screening the target order combinations and the target bin combinations meeting a second quantity condition from the plurality of groups of target order combinations and target bin combinations meeting the first quantity condition, wherein the second quantity condition comprises that the order quantity in the target order combinations is the largest;

and if a group of target order combinations and target bin combinations meeting the second quantity condition exist, determining each order in the target order combinations meeting the second quantity condition as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin.

5. The method of claim 4, further comprising:

if a plurality of groups of target order combinations and target bin combinations meeting the second quantity condition exist, judging whether returned bins exist in the target bin combinations meeting the second quantity condition;

if yes, determining each bin in a target bin combination to which the returned bin belongs as a target bin, and determining each order in the target order combination corresponding to the target bin combination as a target order;

if not, randomly selecting a group of target order combinations and target bin combinations from the target order combinations and the target bin combinations meeting the second quantity condition, determining each order in the randomly selected target order combinations as a target order, and determining each bin in the target bin combinations corresponding to the target order combinations as a target bin.

6. The method of discharging goods according to any one of claims 1 to 5, wherein if at least one target order and at least one target bin satisfying the target matching condition are not obtained, the method further comprises:

determining at least one target bin in each bin based on the total number of demands of all the orders on the target item, the total number of loads of the target item by the at least one target bin being greater than or equal to the total number of demands of all the orders on the target item.

7. The method of claim 1, wherein controlling the cart to transport the target bin to a respective drop port for drop comprises:

judging whether the target material box meets a throwing condition; the throwing condition comprises that a feeding port corresponding to the target material box is in an idle state currently, or the feeding port corresponding to the target material box is not in the idle state, but the category of the goods being thrown is the same as that of the goods corresponding to the target material box;

if so, controlling the carrier to transport the target material box to a corresponding feeding port for throwing; and if not, controlling the carrier to move to a target area to wait for executing a feeding task.

8. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to: executing the method of goods ex-warehouse according to any of claims 1 to 7.

9. A storage medium having stored therein instructions which, when executed by a processor, enable the processor to perform the method of retrieving items according to any one of claims 1 to 7.

10. A computer program product, characterized in that the computer program product comprises a computer program which, when being executed by a processor, carries out the method of bringing goods out of stock of any one of claims 1 to 7.