CN111275380B - Goods placement position determining method and device, computer equipment and storage medium - Google Patents

Goods placement position determining method and device, computer equipment and storage medium Download PDF

Info

Publication number
CN111275380B
CN111275380B CN202010048067.8A CN202010048067A CN111275380B CN 111275380 B CN111275380 B CN 111275380B CN 202010048067 A CN202010048067 A CN 202010048067A CN 111275380 B CN111275380 B CN 111275380B
Authority
CN
China
Prior art keywords
cargo
goods
information
current
transportation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010048067.8A
Other languages
Chinese (zh)
Other versions
CN111275380A (en
Inventor
钟翼翔
李盛强
马丹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Suning Logistics Co ltd
Original Assignee
Jiangsu Suning Logistics Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu Suning Logistics Co ltd filed Critical Jiangsu Suning Logistics Co ltd
Priority to CN202010048067.8A priority Critical patent/CN111275380B/en
Publication of CN111275380A publication Critical patent/CN111275380A/en
Application granted granted Critical
Publication of CN111275380B publication Critical patent/CN111275380B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G67/00Loading or unloading vehicles
    • B65G67/02Loading or unloading land vehicles

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Mechanical Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a goods placement position determining method, a goods placement position determining device, computer equipment and a storage medium. The method comprises the following steps: acquiring order information, wherein the order information comprises goods information corresponding to at least one goods; acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information; determining a corresponding target transport vehicle according to the basic information of the goods; and determining the goods placing position corresponding to the goods in the target transport vehicle. By adopting the method, the unloading efficiency can be improved.

Description

Goods placement position determining method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for determining a cargo placement position, a computer device, and a storage medium.
Background
With the development of computer technology, the change of covering the ground over the air is brought to the life of people, and meanwhile, the working efficiency of enterprises is improved. The rapid development of electronic commerce also puts forward unprecedented speed-increasing demands on domestic warehouse logistics. However, in the loading and unloading process of the goods, the goods are loaded into the transport vehicle at will, and the goods do not have a fixed placing position, so that the unloading efficiency is low easily.
Disclosure of Invention
In view of the above, it is necessary to provide a cargo placement position determination method, a cargo placement position determination apparatus, a computer device, and a storage medium, which can improve unloading efficiency.
A cargo placement position determination method, the method comprising:
acquiring order information, wherein the order information comprises goods information corresponding to at least one goods;
acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information;
determining a corresponding target transport vehicle according to the basic information of the goods;
and determining the goods placing position corresponding to the goods in the target transport vehicle.
In one embodiment, before obtaining the order information, the method includes: acquiring first cargo information, wherein the first cargo information comprises corresponding first cargo basic information; generating a corresponding first cargo graphic code according to the first cargo basic information, and carrying the first cargo basic information into the first cargo graphic code; establishing an incidence relation between the first goods information and the first goods graphic code; and acquiring the corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code corresponding to the cargo information is determined according to the association relation.
In one embodiment, determining the corresponding target transportation vehicle according to the basic cargo information comprises: acquiring a candidate transport vehicle set, wherein the candidate transport vehicle set comprises at least one candidate transport vehicle, and the candidate transport vehicle comprises corresponding preset transport conditions; calculating to obtain cargo volume information corresponding to the cargo according to the cargo basic information; and determining a target transport vehicle corresponding to the basic information of the goods according to the volume information of the goods and the preset transport conditions.
In one embodiment, when there are a plurality of cargos, determining the placement position of the cargo corresponding to the cargo in the target transportation vehicle includes: acquiring total transportation area information corresponding to a target transportation vehicle; acquiring cargo attribute information corresponding to each cargo; determining a cargo identifier corresponding to each cargo according to the cargo attribute information; and calculating to obtain the goods placing positions corresponding to the goods according to the goods identification, the goods attribute information and the total transportation area information.
In one embodiment, the calculating the cargo placement position corresponding to each cargo according to the cargo identification, the cargo attribute information and the total transportation area information includes: determining the current goods to be placed according to the goods identification; acquiring current cargo attribute information corresponding to current cargo to be placed; determining a plurality of transportation subarea information according to the transportation total area information; acquiring current transportation subregion information, and calculating a current placement position score corresponding to the current goods to be placed according to the current transportation subregion information and the current goods attribute information; acquiring a next to-be-placed cargo according to the cargo identification, taking the next to-be-placed cargo as a current to-be-placed cargo, and returning to the step of acquiring the attribute information of the current cargo corresponding to the current to-be-placed cargo until the placing position score corresponding to each cargo is obtained; and determining the corresponding goods placing positions according to the placing position scores corresponding to the goods.
In one embodiment, the cargo placement position determination method further includes: generating a cargo check code corresponding to the cargo according to the cargo placement position; receiving a current scanning reading instruction corresponding to a current cargo check code, and acquiring a corresponding target cargo placing position according to the current scanning reading instruction; and playing the placing position of the target goods.
In one embodiment, the cargo placement position determination method further includes: issuing a control instruction to the control robot, wherein the control instruction carries the goods placing position corresponding to the goods; and placing the goods into the goods placing positions corresponding to the target transport vehicle by controlling the robot.
A cargo placement position determination apparatus, the apparatus comprising:
the order information acquisition module is used for acquiring order information, and the order information comprises goods information corresponding to at least one goods;
the goods graphic code acquisition module is used for acquiring a corresponding goods graphic code according to the goods information, wherein the goods graphic code comprises basic goods information;
the transport vehicle determining module is used for determining a corresponding target transport vehicle according to the basic information of the goods;
and the placing position determining module is used for determining the placing position of the goods corresponding to the goods in the target transport vehicle.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring order information, wherein the order information comprises goods information corresponding to at least one goods;
acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information;
determining a corresponding target transport vehicle according to the basic information of the goods;
and determining the goods placing position corresponding to the goods in the target transport vehicle.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring order information, wherein the order information comprises goods information corresponding to at least one goods;
acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information;
determining a corresponding target transport vehicle according to the basic information of the goods;
and determining the goods placing position corresponding to the goods in the target transport vehicle.
The method and the device for determining the goods placement position, the computer equipment and the storage medium acquire order information, wherein the order information comprises goods information corresponding to at least one goods; acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information; determining a corresponding target transport vehicle according to the basic information of the goods; and determining the goods placing position corresponding to the goods in the target transport vehicle. Therefore, the corresponding cargo graphic code is obtained through the cargo information in the order information, the corresponding transport vehicle is determined according to the basic cargo information corresponding to the cargo graphic code, the placing position corresponding to the cargo is determined in the transport vehicle, and each cargo comprises the corresponding placing position, so that the cargo is loaded and unloaded according to the corresponding placing position of the cargo when the cargo is loaded and unloaded, and the unloading efficiency can be improved.
Drawings
Fig. 1 is an application environment diagram of a cargo placement position determination method according to an embodiment;
fig. 2 is a schematic flow chart of a cargo placement position determination method according to an embodiment;
FIG. 3 is a schematic flow chart diagram of a cargo graphic code determination method in one embodiment;
FIG. 4 is a schematic flow chart of the target haulage vehicle determination step in one embodiment;
fig. 5 is a schematic flow chart showing the cargo placement position determination step in one embodiment;
fig. 6 is a schematic flow chart showing the cargo placement position calculation step according to an embodiment;
fig. 7 is a schematic flow chart of a cargo placement position determination method according to yet another embodiment;
fig. 8 is a schematic flow chart illustrating a cargo positioning method according to still another embodiment;
fig. 9 is a block diagram showing the structure of the goods placement position determining apparatus according to the embodiment;
FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The goods placement position determining method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
Specifically, the terminal 102 sends order information to the server 104, the order information includes cargo information corresponding to at least one cargo, after the server 104 acquires the order information, a corresponding cargo graphic code is acquired according to the cargo information in the order information, the cargo graphic code includes cargo basic information, a corresponding target transport vehicle is determined according to the cargo basic information, and a cargo placement position corresponding to the cargo is determined in the target transport vehicle. Further, the server 104 may send the cargo placement position to the terminal 102.
In another embodiment, the terminal 102 obtains order information, where the order information includes cargo information corresponding to at least one cargo, obtains a corresponding cargo graphic code according to the cargo information in the order information, where the cargo graphic code includes cargo basic information, determines a corresponding target transportation vehicle according to the cargo basic information, and determines a cargo placement position corresponding to the cargo in the target transportation vehicle.
In one embodiment, as shown in fig. 2, a cargo locating method is provided, which is described by taking the method as an example applied to the terminal or the server in fig. 1, and includes the following steps:
step 202, obtaining order information, wherein the order information includes cargo information corresponding to at least one cargo.
The order information refers to related information generated when the goods are subjected to resource transfer, for example, the related information generated when the goods are purchased is order information. The order information here includes information about at least one item, and the item information refers to data related to the item, including but not limited to an item name, an item quantity, an item price, an item attribute, and the like.
Specifically, the terminal can be provided with a goods ordering application, goods information is obtained through a related interface of the goods ordering application, and corresponding order information is generated according to the goods information. Wherein different goods correspond to different goods information.
In one embodiment, when the execution subject is a server, after acquiring the order information, the terminal may send the order information to the server through a network.
And 204, acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information.
The goods graphic code is a graphic which is distributed on a plane by a certain specific geometric figure according to a certain rule, is black and white and is used for recording data symbol information. The goods information can be carried to the corresponding goods graphic code, and the corresponding goods information can be obtained by reading the goods graphic code. Therefore, the corresponding cargo graphic code can be generated according to the cargo information, and specifically, the corresponding cargo graphic code can be generated according to the cargo information according to a certain algorithm. The goods graphic code can be, but is not limited to, a bar code or a two-dimensional code.
The cargo graphic code comprises cargo basic information, wherein the cargo basic information is information related to cargo, and comprises but is not limited to cargo volume, cargo weight, cargo attribute and other data. Specifically, the basic information of the goods and the graphic code of the goods are bound in advance, and the basic information of the goods is carried into the corresponding graphic code of the goods, so that the basic information of the goods corresponding to the graphic code of the goods can be obtained when the graphic code of the goods is read.
Specifically, after the order information is obtained, the corresponding cargo graphic code is searched according to the cargo information in the order information, wherein the cargo graphic code also carries cargo basic information corresponding to the cargo information.
And step 206, determining the corresponding target transport vehicle according to the basic information of the goods.
The target transport vehicle is a transport vehicle used for transporting goods in the order information, a plurality of candidate transport vehicles are provided, and the target transport vehicle matched with the basic information of the goods needs to be determined from the candidate transport vehicles. That is, the goods that correspond through the basic information of target haulage vehicle transportation goods, not extravagant haulage vehicle's transportation space for its greatest interest ization avoids appearing haulage vehicle and the unmatched condition of goods, and the haulage vehicle of too big haulage space transports less goods or the haulage vehicle of undersize haulage space transports great goods for example, thereby can reduce freight transportation cost. Specifically, each candidate transport vehicle has a corresponding preset transport condition, the preset transport condition can be customized, the customization can be set according to business requirements or application scenes, cargo transport information corresponding to the cargo is obtained through calculation according to the cargo basic information, and the target transport vehicle is determined according to the cargo transport information and the preset transport condition of each candidate transport vehicle. The target transportation vehicle is determined according to the cargo transportation information and the preset transportation condition of each candidate transportation vehicle, and specifically, when the cargo transportation information meets the preset transportation condition, the candidate transportation vehicle corresponding to the preset transportation condition is determined as the target transportation vehicle.
In another embodiment, the transportation vehicle volume corresponding to each candidate transportation vehicle may be obtained, the cargo volume information corresponding to the cargo may be calculated according to the cargo basic information, and the target transportation vehicle may be determined according to the transportation vehicle volume and the cargo volume information. Specifically, the target transportation vehicle is determined according to the transportation vehicle volume and the cargo volume information, and specifically, a volume difference value is calculated according to the transportation vehicle volume and the cargo volume information, and when the volume difference value is smaller than a preset volume difference value, the candidate transportation vehicle corresponding to the transportation vehicle volume can be determined as the target transportation vehicle.
And step 208, determining the goods placing position corresponding to the goods in the target transport vehicle.
The goods placing position refers to the optimal position for placing the goods in the target transport vehicle. Different goods correspond different goods locating place, place different goods to corresponding goods locating place, can improve the efficiency that the goods unloaded. Specifically, after the corresponding target transportation vehicle is determined, the optimal placement position corresponding to the goods, i.e., the goods placement position, needs to be determined in the target transportation vehicle.
The goods placement position determining method can be self-defined, the self-definition can be that the goods attribute information, the goods identification and the total transportation area information corresponding to the target transportation vehicle corresponding to the goods are obtained, and the goods placement position corresponding to the goods is determined according to the goods attribute information, the goods identification and the total transportation area information.
In one embodiment, the cargo placement position determining method may be customized by acquiring information of a plurality of transportation sub-regions corresponding to the target transportation vehicle, acquiring cargo volume information corresponding to the cargo, and determining a placement position corresponding to the cargo according to the transportation sub-region information and the cargo volume information. The transportation sub-region information may be information corresponding to the volume of the transportation sub-region, the target transportation vehicle may be divided into a plurality of transportation sub-regions in advance, and each transportation sub-region has a corresponding volume of the transportation sub-region, wherein the division of the transportation sub-regions may be performed according to business requirements and actual scenes, or may be obtained by dividing according to cargo attribute information. For example, the volume of each transportation sub-region is obtained, the volume difference is calculated according to the cargo volume information and the volume of each transportation sub-region, and the cargo placement position corresponding to the cargo is determined according to the volume difference.
In another embodiment, the cargo placement position may be determined by obtaining an operation plan corresponding to the cargo in the order information, and determining the cargo placement position according to the operation plan. The work plan refers to a transportation route of the cargo.
In the method for determining the goods placement position, order information is obtained, wherein the order information comprises goods information corresponding to at least one goods; acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information; determining a corresponding target transport vehicle according to the basic information of the goods; and determining the goods placing position corresponding to the goods in the target transport vehicle. Therefore, the corresponding cargo graphic code is obtained through the cargo information in the order information, the corresponding transport vehicle is determined according to the basic cargo information corresponding to the cargo graphic code, the placing position corresponding to the cargo is determined in the transport vehicle, and each cargo comprises the corresponding placing position, so that the cargo is loaded and unloaded according to the corresponding placing position of the cargo when the cargo is loaded and unloaded, and the unloading efficiency can be improved.
In one embodiment, as shown in fig. 3, the cargo graphic code determining method includes:
step 302, first cargo information is obtained, and the first cargo information includes corresponding first cargo basic information.
And 304, generating a corresponding first cargo graphic code according to the first cargo basic information, and carrying the first cargo basic information into the first cargo graphic code.
The first goods information here is goods information used for establishing an association relationship between the goods information and the goods graphic code, and the goods information refers to data related to goods, including but not limited to goods name, goods quantity, goods price, goods attribute, and the like. Specifically, the cargo information corresponding to each cargo may be acquired in advance as the first cargo information.
The first cargo information includes corresponding first cargo basic information, and the cargo basic information is information related to the cargo itself, including but not limited to cargo volume, cargo weight, cargo attribute and other data. Specifically, the goods information corresponding to each goods and the basic goods information corresponding to the goods information can be stored locally, and when needed, the goods information corresponding to each goods is obtained locally to serve as the first goods information and the basic first goods information corresponding to the first goods information is obtained.
Further, after the first cargo information and the corresponding first cargo basic information are acquired, the first cargo basic information is carried into the corresponding first cargo graphic code, so that a preset algorithm can be acquired, the corresponding first cargo graphic code is generated according to the first cargo basic information through the preset algorithm, and the first cargo basic information is carried into the first cargo graphic code, so that the corresponding first cargo basic information can be acquired by reading the first cargo graphic code.
Step 306, establishing an association relationship between the first cargo information and the first cargo graphic code.
And 308, determining a cargo graphic code corresponding to the cargo information according to the association relationship.
Specifically, after a first cargo graphic code corresponding to the first cargo information is obtained, an association relationship between the first cargo information and the first cargo graphic code can be established, and after the association relationship is established, the cargo graphic code corresponding to each piece of cargo information can be obtained through the association relationship. The establishing of the first cargo information and the first cargo graphic code may be binding the first cargo information and the first cargo graphic code, so that an association relationship between the cargo information and the cargo graphic code is established. When the goods graphic code corresponding to the goods information in the order information needs to be determined subsequently, the association relationship needs to be obtained, and the goods graphic code corresponding to the goods information is determined according to the association relationship.
In one embodiment, as shown in fig. 4, determining the corresponding target transportation vehicle according to the basic cargo information includes:
step 402, a set of candidate transport vehicles is obtained, the set of candidate transport vehicles comprising at least one candidate transport vehicle, the candidate transport vehicles comprising corresponding preset transport conditions.
The set of candidate transportation vehicles is a set composed of the candidate transportation vehicles, and the target transportation vehicle is a transportation vehicle determined from the set of candidate transportation vehicles to be suitable for transporting the goods in the order information. Specifically, the information of all the transportation vehicles may be stored in advance, and the stored transportation vehicles may be used as candidate transportation vehicles to obtain a set of candidate transportation vehicles.
Wherein different types of transport vehicles present different transport conditions due to different total transport areas of the transport vehicles. The transportation conditions corresponding to the transportation vehicles of various types can be set in advance, the transportation conditions can be set in a user-defined mode, the user-defined mode can be set according to business scenes and product requirements, and the user-defined mode can also be set according to the total transportation area information corresponding to the transportation vehicles, for example, the larger the total transportation area is, the larger the transported goods are, the smaller the total transportation area is, and the smaller the transported goods are.
And step 404, calculating to obtain cargo volume information corresponding to the cargo according to the cargo basic information.
And step 406, determining a target transport vehicle corresponding to the basic information of the goods according to the volume information of the goods and the preset transport conditions.
The cargo volume information refers to information related to cargo volume, corresponding cargo information exists in each cargo, the cargo information includes corresponding cargo basic information, and the cargo is information related to the cargo itself, including but not limited to data such as cargo volume, cargo weight, cargo attribute and the like. The cargo volume information corresponding to the cargo can be calculated according to the cargo basic information. The calculation mode of the cargo volume information may be to calculate the corresponding cargo volume information according to the cargo length, width and height in the cargo basic information, or may also calculate the corresponding cargo volume information according to the cargo weight and cargo volume in the cargo basic information.
Further, after the cargo volume information and the preset transportation conditions corresponding to the candidate transportation vehicles are obtained, the target transportation vehicle for transporting the cargo can be determined according to the cargo volume information and the preset transportation conditions corresponding to the candidate transportation vehicles. The determination method of the target transportation vehicle may be to detect whether the cargo volume information matches a preset transportation condition, and determine a candidate transportation vehicle corresponding to the preset transportation condition matching the cargo volume information as the target transportation vehicle. Or calculating to obtain a transportation volume difference according to the cargo volume information and transportation volume information corresponding to the preset transportation conditions, acquiring the preset volume difference, and determining the target transportation vehicle from the candidate transportation vehicles according to the transportation volume difference and the preset volume difference.
In one embodiment, as shown in fig. 5, when there are a plurality of cargos, determining a cargo placement position corresponding to the cargo in the target transportation vehicle includes:
step 502, obtaining total transportation area information corresponding to the target transportation vehicle.
And step 504, acquiring cargo attribute information corresponding to each cargo.
The total transportation area information refers to the total transportation area size of the target transportation vehicle, and each transportation vehicle comprises the corresponding total transportation area size. The cargo attribute information is information related to cargo characteristics, including but not limited to cargo fragile identification, cargo inflammable identification, cargo explosive identification, and the like.
Specifically, after the target transport vehicle is determined, the total transport area information corresponding to the target transport vehicle is obtained, and meanwhile, the cargo attribute information corresponding to each cargo in the order information is obtained.
Step 506, determining the goods identification corresponding to each goods according to the goods attribute information.
And step 508, calculating to obtain the goods placing positions corresponding to the goods according to the goods identification, the goods attribute information and the total transportation area information.
The cargo attribute information is information related to cargo characteristics, including but not limited to cargo fragile identification, cargo inflammable identification, cargo explosive identification, and the like. The goods corresponding to some goods identifications have specific placing rules, so that the goods placing correctness is guaranteed, for example, fragile goods are preferentially set to be placed on the top and placed, other goods are placed in layers according to weight, heavy goods are placed on the bottom layer, light goods are placed on the upper layer, the goods identifications corresponding to the goods can be determined according to the goods attribute information, and particularly the goods identifications corresponding to the goods can be obtained from the goods attribute information.
Further, after the goods identification, the goods attribute information and the total transportation area information are obtained, the goods placing positions corresponding to the goods can be calculated according to the goods identification, the goods attribute information and the total transportation area information. The calculation mode can be self-defined, and the self-definition can be that goods that can be put on the current layer are confirmed according to the goods weight and the fragile sign of goods in the goods attribute information, then calculate the score of each goods at current position on the current layer, come the best locating position of goods according to the score, namely goods locating position.
In an embodiment, the calculation method for calculating the score of each good at the current position of the current layer may specifically be that, first, a contact perimeter ratio between the current good and the bottom of the current layer or other placed goods of the current layer is calculated, then, a bottom area ratio between the bottom area of the placed goods of the current layer and the total bottom area of the current layer is calculated, next, an absolute difference between the height of the current layer and the height of the placed goods is calculated, and finally, the score is obtained according to the contact perimeter ratio, the bottom area ratio, and the absolute difference.
In one embodiment, the score of the current position of the good at the current layer may be specifically calculated by the following formula:
Figure BDA0002370137130000111
wherein H l Indicates the height of the current layer, J l Indicating that the current layer has placed a set of goods, and P (J, l, P) indicating the bottom edge (the part contacting the floor or J when placed at the P position of the current layer) of the jth placed goods l The portion of the article in contact with), ρ, μ ∈ [0,1 ]]And rho + mu is less than or equal to 1; w denotes the width of the total area of transport, D denotes the depth of the total area of transport, W k Indicates the width of the kth placed goods, d k Indicates the depth of the kth placed cargo, h j Indicating the height of the jth placed cargo.
If S (j, l, p) ═ 0, it means that the placed goods j will overlap with other placed goods or exceed the boundary when placed at the current layer p position.
In another embodiment, the calculation mode of the cargo placement positions may also be customized, that is, the corresponding transportation sub-region information is obtained according to the total cargo transportation region information, the target cargo placed on the upper layer is determined according to the cargo identifier, and then the cargo placement positions corresponding to the respective cargos are calculated according to the cargo attribute information and the transportation sub-region information corresponding to the target cargo. The corresponding transportation sub-region information is obtained according to the total cargo transportation region information, and the total transportation region information may be divided according to a preset division standard to obtain the corresponding transportation sub-region information. The preset division standard can be customized, and the customization can be determined according to product requirements, service scenes and the like.
In one embodiment, as shown in fig. 6, calculating the cargo placement position corresponding to each cargo according to the cargo identifier, the cargo attribute information, and the transportation total area information includes:
step 602, determining the current goods to be placed according to the goods identifier.
Step 604, obtaining the attribute information of the current goods corresponding to the current goods to be placed.
The current goods to be placed are the goods which are currently used for calculation, the current goods to be placed can be determined from the various goods according to the goods identification, the mode for determining the current goods to be placed can be that the preset goods identification is obtained, the preset goods identification represents special goods identification, for example, the goods fragile identification, the goods inflammable identification and the goods explosive identification can be preset goods identification, and then the current goods to be placed is determined from the multiple goods according to the preset goods identification. Or, a preset priority corresponding to each cargo identifier is obtained, and the current cargo to be placed is determined from the multiple cargos according to the preset priority.
The goods comprise corresponding goods attribute information, so that after the current goods to be placed are determined, the current goods attribute information corresponding to the current goods to be placed is obtained.
Step 606, determining a plurality of transportation sub-area information according to the transportation total area information.
And 608, acquiring information of the current transportation subregion, and calculating a current placement position score corresponding to the current goods to be placed according to the information of the current transportation subregion and the attribute information of the current goods.
The total transportation area of the target transportation vehicle can be divided into a plurality of transportation sub-areas, and each transportation sub-area has corresponding transportation sub-area information. The dividing mode of dividing the total transportation area of the target transportation vehicle into a plurality of transportation sub-areas can be customized, and the customization can be dividing according to business requirements and application scenes, or can be dividing according to volume information of goods, and the like.
Further, after determining that the information of the plurality of transportation sub-regions is obtained, determining current transportation sub-region information from the information of the plurality of transportation sub-regions, where the current transportation sub-region information refers to the information of the transportation sub-regions currently being processed, and one of the information of the plurality of transportation sub-regions may be randomly selected as the current transportation sub-region information, or the information of the transportation sub-regions may be sorted and sequentially used as the current transportation sub-region information.
And secondly, calculating to obtain a current placing position score corresponding to the current goods to be placed according to the current transportation sub-region information and the current goods attribute information. The calculation method of the current placement position score may specifically be that, first, a contact perimeter ratio of the current goods to the bottom of the current layer or other placed goods of the current layer is calculated, then, a bottom area ratio of the bottom area of the placed goods of the current layer to the total bottom area of the current layer is calculated, then, an absolute difference between the height of the current layer and the height of the placed goods is calculated, and finally, a score is obtained according to the contact perimeter ratio, the bottom area ratio and the absolute difference. The current layer is a current transportation sub-region, and the current goods are goods corresponding to the current goods attribute information.
In one embodiment, the score of the current position of the good at the current layer may be specifically calculated by the following formula:
Figure BDA0002370137130000131
wherein H l Indicates the height of the current layer, J l Represents the set of the goods already placed on the current layer, and P (J, l, P) represents the bottom edge (the part contacted with the floor or J when placed at the P position of the current layer) l The portion of the article in contact with), ρ, μ ∈ [0,1 ]]And rho + mu is less than or equal to 1; w denotes the width of the total area of transport, D denotes the depth of the total area of transport, W k Width of the k-th placed goods, d k Indicates the depth of the kth placed cargo, h j Indicating the height of the jth placed cargo.
If S (j, l, p) ═ 0, it means that the placed goods j will overlap with other placed goods or exceed the boundary when placed at the current layer p position.
And 610, acquiring the next to-be-placed goods according to the goods identification, taking the next to-be-placed goods as the current to-be-placed goods, and returning to the step of acquiring the attribute information of the current goods corresponding to the current to-be-placed goods until the placing position scores corresponding to the goods are obtained.
And 612, determining the corresponding goods placing positions according to the placing position scores corresponding to the goods.
After the current placing position score corresponding to the current goods to be placed is obtained through calculation, the placing position score corresponding to each goods needs to be obtained, so that the next goods to be placed is obtained according to the goods identification, the obtained next goods to be placed is used as the current goods to be placed, the step of obtaining the attribute information of the current goods corresponding to the current goods to be placed is returned, and the steps are repeated until the placing position score corresponding to each goods is obtained.
Further, after the placing position score corresponding to each cargo is obtained, the corresponding cargo placing position needs to be determined according to the placing position score corresponding to each cargo. Specifically, first, if the floor height of the current transportation sub-area is higher than the height of the current cargo, the position p with the highest placing position score is selected as the cargo placing position of the current cargo, otherwise, if the floor height of the current transportation sub-area is smaller than the height of the current cargo, the position p with the highest score is selected as the cargo placing position of the current cargo, the floor height of the current transportation sub-area is updated to be the height of the current cargo, otherwise, a new transportation sub-area is set, the height of the current cargo is used as the new transportation sub-area, and the cargo placing position of the current cargo is the lower left corner position of the floor.
In an embodiment, the corresponding placing positions of the goods may be determined according to the placing position scores corresponding to the goods, or the corresponding placing positions of the goods may be determined according to the preset placing position scores corresponding to the goods and the placing position scores corresponding to the goods. The preset placing position score can be set in advance to represent the best placing position score of the goods, and if the preset placing position score is matched with the corresponding placing position score, the goods are shown to be placed optimally, so that the position corresponding to the placing position score can be used as the placing position of the goods.
In one embodiment, as shown in fig. 7, the cargo placement position determination method further includes:
step 702, generating a cargo check code corresponding to the cargo according to the cargo placement position.
Step 704, receiving a current scanning and reading instruction corresponding to the current cargo check code, and obtaining a corresponding target cargo placement position according to the current scanning and reading instruction.
Step 706, playing the placement position of the target goods.
The goods check code is used for reading the goods placing position, the corresponding goods placing position can be obtained according to the goods check code, and the corresponding goods check code can be generated according to the goods placing position. The cargo check code can be calculated by a preset check code algorithm, which is the prior art and is not described in detail herein.
The current scanning and reading instruction is used for reading a current cargo check code, and the current cargo check code refers to a cargo check code currently being processed. Specifically, after receiving a current scanning reading instruction corresponding to the current cargo check code, the target cargo placement position corresponding to the instruction cargo can be read according to the current scanning.
Further, after the target goods placement position is obtained, the target goods placement position can be played. For example, a driver or a cargo handler can scan the cargo check codes sorted out from the warehouse one by using a handheld terminal installed with a code scanning application, where the code scanning application may be a screen projection application dedicated to the code scanning function, or may be other applications including the code scanning function, such as a transportation system application (e.g., a planetary transportation handheld client), and the like. The handheld terminal can also prompt the placing position (X area-X layer-notice, such as carriage A area-second layer-right side up/fragile article) in voice.
In one embodiment, as shown in fig. 8, the cargo placement position determination method further includes:
and 802, sending a control instruction to the control robot, wherein the control instruction carries the goods placement position corresponding to the goods.
And 804, placing the goods into the goods placing positions corresponding to the target transport vehicle by controlling the robot.
The control robot is used for controlling goods placement, the control instruction is used for controlling the robot, the control robot can control the robot according to the control instruction after the goods reach the control instruction, and the control robot places the goods according to the control instruction. Specifically, a control instruction is issued to the control robot, wherein the control instruction carries the goods placement position corresponding to the goods.
Further, after the control robot receives the control instruction, the control robot places the goods into the goods placing positions corresponding to the target transport vehicle.
In one embodiment, the robot does not need to be controlled to place the goods, a driver scans the transportation graphic code manually, the transportation graphic code comprises a goods placing position, the goods placing position can be known after the transportation graphic code is scanned, and then the goods can be moved to the corresponding goods placing position.
In a specific embodiment, a method for determining a cargo placement position is provided, which specifically includes the following steps:
1. acquiring first goods information, wherein the first goods information comprises corresponding first goods basic information;
2. generating a corresponding first cargo graphic code according to the first cargo basic information, and carrying the first cargo basic information into the first cargo graphic code;
3. establishing an incidence relation between the first cargo information and the first cargo graphic code;
4. acquiring order information, wherein the order information comprises goods information corresponding to at least one goods;
5. determining a cargo graphic code corresponding to the cargo information according to the association relationship, wherein the cargo graphic code comprises basic cargo information;
6. determining a corresponding target transport vehicle according to the basic information of the goods;
6-1, acquiring a candidate transport vehicle set, wherein the candidate transport vehicle set comprises at least one candidate transport vehicle, and the candidate transport vehicle comprises corresponding preset transport conditions;
6-2, calculating to obtain cargo volume information corresponding to the cargo according to the cargo basic information;
and 6-3, determining a target transport vehicle corresponding to the basic information of the goods according to the volume information of the goods and the preset transport conditions.
7. And determining the goods placing position corresponding to the goods in the target transport vehicle.
7-1, when a plurality of cargos are available, acquiring total transportation area information corresponding to a target transportation vehicle;
7-2, acquiring cargo attribute information corresponding to each cargo;
7-3, determining a cargo identifier corresponding to each cargo according to the cargo attribute information;
and 7-4, calculating to obtain the goods placing positions corresponding to the goods according to the goods identification, the goods attribute information and the total transportation area information.
7-4-1, determining the current goods to be placed according to the goods identification;
7-4-2, acquiring current cargo attribute information corresponding to the current cargo to be placed;
7-4-3, determining a plurality of transportation subarea information according to the transportation total area information;
7-4-4, acquiring information of the current transportation subregion, and calculating a current placement position score corresponding to the current goods to be placed according to the information of the current transportation subregion and the attribute information of the current goods;
7-4-5, acquiring the next goods to be placed according to the goods identification, taking the next goods to be placed as the current goods to be placed, and returning to the step of acquiring the attribute information of the current goods corresponding to the current goods to be placed until the placing position score corresponding to each goods is obtained;
7-4-6, determining the corresponding goods placing positions according to the placing position scores corresponding to the goods.
8. Generating a cargo check code corresponding to the cargo according to the cargo placement position;
9. receiving a current scanning reading instruction corresponding to a current cargo check code, and acquiring a corresponding target cargo placing position according to the current scanning reading instruction;
10. and playing the placing position of the target goods.
11. Issuing a control instruction to the control robot, wherein the control instruction carries the goods placing position corresponding to the goods;
12. and placing the goods into the goods placing positions corresponding to the target transport vehicle by controlling the robot.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 9, there is provided a goods-placement-position determining apparatus 900 including: an order information acquisition module 902, a cargo graphic code acquisition module 904, a transport vehicle determination module 906, and a placement position determination module 908, wherein:
the order information obtaining module 902 is configured to obtain order information, where the order information includes information about goods corresponding to at least one good.
And the cargo graphic code acquisition module 904 is configured to acquire a corresponding cargo graphic code according to the cargo information, where the cargo graphic code includes cargo basic information.
And a transport vehicle determining module 906, configured to determine a corresponding target transport vehicle according to the basic cargo information.
A pose position determination module 908 for determining a pose position of a good corresponding to the good in the target transport vehicle.
In an embodiment, the cargo placement position determining device 900 is further configured to obtain first cargo information, where the first cargo information includes corresponding first cargo basic information, generate a corresponding first cargo graphic code according to the first cargo basic information, carry the first cargo basic information into the first cargo graphic code, and establish an association relationship between the first cargo information and the first cargo graphic code. The cargo graphic code obtaining module 904 is further configured to determine a cargo graphic code corresponding to the cargo information according to the association relationship.
In one embodiment, the transportation vehicle determining module 906 is further configured to obtain a candidate transportation vehicle set, where the candidate transportation vehicle set includes at least one candidate transportation vehicle, and the candidate transportation vehicle includes a corresponding preset transportation condition, calculate, according to the basic cargo information, cargo volume information corresponding to the cargo, and determine, according to the cargo volume information and the preset transportation condition, a target transportation vehicle corresponding to the basic cargo information.
In an embodiment, the placement position determining module 908 is further configured to obtain total transportation area information corresponding to the target transportation vehicle, obtain cargo attribute information corresponding to each cargo, determine a cargo identifier corresponding to each cargo according to the cargo attribute information, and calculate a placement position of each cargo according to the cargo identifier, the cargo attribute information, and the total transportation area information.
In an embodiment, the placement position determining module 908 is further configured to determine a current to-be-placed cargo according to the cargo identifier, obtain current cargo attribute information corresponding to the current to-be-placed cargo, determine a plurality of transportation sub-region information according to the transportation total region information, obtain current transportation sub-region information, calculate a current placement position score corresponding to the current to-be-placed cargo according to the current transportation sub-region information and the current cargo attribute information, obtain a next to-be-placed cargo according to the cargo identifier, use a next to-be-placed cargo as the current to-be-placed cargo, return to the step of obtaining the current cargo attribute information corresponding to the current to-be-placed cargo until a placement position score corresponding to each cargo is obtained, and determine a corresponding cargo placement position according to a placement position score corresponding to each cargo.
In one embodiment, the cargo placement position determining device 900 is further configured to generate a cargo check code corresponding to the cargo according to the cargo placement position, receive a current scanning and reading instruction corresponding to the current cargo check code, obtain a corresponding target cargo placement position according to the current scanning and reading instruction, and play the target cargo placement position.
In one embodiment, the cargo placement position determining device 900 is further configured to issue a control command to the control robot, where the control command carries the cargo placement position corresponding to the cargo, and the control robot places the cargo into the cargo placement position corresponding to the target transport vehicle.
For specific definition of the goods placement position determination device, reference may be made to the above definition of the goods placement position determination method, which is not described herein again. The modules in the device for determining the placement position of the goods can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
FIG. 10 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may be specifically the terminal 102 or the server 104 in fig. 1. As shown in fig. 10, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by the processor, causes the processor to implement the cargo positioning method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform a method of determining a cargo positioning. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
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 following steps when executing the computer program: acquiring order information, wherein the order information comprises goods information corresponding to at least one goods; acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises basic cargo information; determining a corresponding target transport vehicle according to the basic information of the goods; and determining the goods placing position corresponding to the goods in the target transport vehicle.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring first cargo information, wherein the first cargo information comprises corresponding first cargo basic information; generating a corresponding first cargo graphic code according to the first cargo basic information, and carrying the first cargo basic information into the first cargo graphic code; establishing an incidence relation between the first cargo information and the first cargo graphic code; and acquiring the corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code corresponding to the cargo information is determined according to the association relation.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a candidate transport vehicle set, wherein the candidate transport vehicle set comprises at least one candidate transport vehicle, and the candidate transport vehicle comprises corresponding preset transport conditions; calculating to obtain cargo volume information corresponding to the cargo according to the cargo basic information; and determining the target transport vehicle corresponding to the basic information of the goods according to the volume information of the goods and the preset transport conditions.
In one embodiment, when the cargo is plural, the processor executes the computer program to further perform the following steps: acquiring total transportation area information corresponding to a target transportation vehicle; acquiring cargo attribute information corresponding to each cargo; determining a cargo identifier corresponding to each cargo according to the cargo attribute information; and calculating to obtain the goods placing positions corresponding to the goods according to the goods identification, the goods attribute information and the total transportation area information.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the current goods to be placed according to the goods identification; acquiring current cargo attribute information corresponding to a current cargo to be placed; determining a plurality of transportation subarea information according to the transportation total area information; acquiring current transportation subregion information, and calculating a current placement position score corresponding to the current goods to be placed according to the current transportation subregion information and the current goods attribute information; acquiring a next to-be-placed cargo according to the cargo identification, taking the next to-be-placed cargo as a current to-be-placed cargo, and returning to the step of acquiring the attribute information of the current cargo corresponding to the current to-be-placed cargo until the placing position score corresponding to each cargo is obtained; and determining the corresponding goods placing positions according to the placing position scores corresponding to the goods.
In one embodiment, the processor, when executing the computer program, further performs the steps of: generating a cargo check code corresponding to the cargo according to the cargo placement position; receiving a current scanning reading instruction corresponding to the current cargo check code, and acquiring a corresponding target cargo placing position according to the current scanning reading instruction; and playing the placing position of the target goods.
In one embodiment, the processor, when executing the computer program, further performs the steps of: a control instruction is issued to the control robot, and the control instruction carries the goods placing position corresponding to the goods; and placing the goods into the goods placing positions corresponding to the target transport vehicle by controlling the robot.
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 order information, wherein the order information comprises goods information corresponding to at least one goods; acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information; determining a corresponding target transport vehicle according to the basic information of the goods; and determining the goods placing position corresponding to the goods in the target transport vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring first goods information, wherein the first goods information comprises corresponding first goods basic information; generating a corresponding first cargo graphic code according to the first cargo basic information, and carrying the first cargo basic information into the first cargo graphic code; establishing an incidence relation between the first cargo information and the first cargo graphic code; and acquiring the corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code corresponding to the cargo information is determined according to the association relation.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a candidate transport vehicle set, wherein the candidate transport vehicle set comprises at least one candidate transport vehicle, and the candidate transport vehicle comprises corresponding preset transport conditions; calculating to obtain cargo volume information corresponding to the cargo according to the cargo basic information; and determining a target transport vehicle corresponding to the basic information of the goods according to the volume information of the goods and the preset transport conditions.
In one embodiment, when the cargo is plural, the processor executes the computer program to further perform the following steps: acquiring total transportation area information corresponding to a target transportation vehicle; acquiring cargo attribute information corresponding to each cargo; determining a cargo identifier corresponding to each cargo according to the cargo attribute information; and calculating to obtain the goods placing positions corresponding to the goods according to the goods identification, the goods attribute information and the total transportation area information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the current goods to be placed according to the goods identification; acquiring current cargo attribute information corresponding to a current cargo to be placed; determining a plurality of transportation subarea information according to the transportation total area information; acquiring current transportation subregion information, and calculating a current placement position score corresponding to the current goods to be placed according to the current transportation subregion information and the current goods attribute information; acquiring a next to-be-placed cargo according to the cargo identification, taking the next to-be-placed cargo as a current to-be-placed cargo, and returning to the step of acquiring the attribute information of the current cargo corresponding to the current to-be-placed cargo until the placing position score corresponding to each cargo is obtained; and determining the corresponding goods placing positions according to the placing position scores corresponding to the goods.
In one embodiment, the processor, when executing the computer program, further performs the steps of: generating a cargo check code corresponding to the cargo according to the cargo placement position; receiving a current scanning reading instruction corresponding to a current cargo check code, and acquiring a corresponding target cargo placing position according to the current scanning reading instruction; and playing the placing position of the target goods.
In one embodiment, the processor, when executing the computer program, further performs the steps of: a control instruction is issued to the control robot, and the control instruction carries the goods placing position corresponding to the goods; and placing the goods into the goods placing positions corresponding to the target transport vehicle by controlling the robot.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile 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), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (8)

1. A cargo placement position determination method, the method comprising:
acquiring order information, wherein the order information comprises goods information corresponding to at least one goods;
acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information;
determining a corresponding target transport vehicle according to the basic information of the goods;
determining a cargo placement position corresponding to the cargo in the target transport vehicle;
when the number of the cargos is multiple, the determining the placement positions of the cargos corresponding to the cargos in the target transport vehicle comprises:
acquiring total transportation area information corresponding to the target transportation vehicle;
acquiring cargo attribute information corresponding to each cargo;
determining a cargo identifier corresponding to each cargo according to the cargo attribute information;
calculating to obtain the goods placing position corresponding to each goods according to the goods identification, the goods attribute information and the total transportation area information; the method comprises the following steps:
determining the current goods to be placed according to the goods identification;
acquiring attribute information of the current goods corresponding to the current goods to be placed;
determining a plurality of transportation subarea information according to the transportation total area information;
acquiring current transportation subregion information, and calculating a current placement position score corresponding to the current goods to be placed according to the current transportation subregion information and the current goods attribute information;
acquiring a next to-be-placed cargo according to the cargo identification, taking the next to-be-placed cargo as a current to-be-placed cargo, and returning to the step of acquiring current cargo attribute information corresponding to the current to-be-placed cargo until a placing position score corresponding to each cargo is obtained;
determining corresponding goods placing positions according to the placing position scores corresponding to the goods;
wherein the current placing position score corresponding to the current goods to be placed
Figure 407266DEST_PATH_IMAGE001
The calculation formula of (2) is as follows:
Figure 185866DEST_PATH_IMAGE002
wherein j represents the current goods to be placed, and p represents the current placing position in the current transportation sub-area;
Figure 991011DEST_PATH_IMAGE003
indicating the perimeter of the bottom edge of the current cargo to be placed,
Figure 513260DEST_PATH_IMAGE004
represents the width of the current goods to be placed,
Figure 87460DEST_PATH_IMAGE005
representing the depth of the current goods to be placed; k represents the placed cargo serial number of the current transportation sub-area,
Figure 53274DEST_PATH_IMAGE006
indicating that the current transportation sub-area has placed a collection of goods,
Figure 80135DEST_PATH_IMAGE007
indicating the width of the kth placed good,
Figure 406075DEST_PATH_IMAGE008
represents the depth of the kth placed cargo, W represents the width of the total area of transport, and D represents the depth of the total area of transport;
Figure 834782DEST_PATH_IMAGE009
and is
Figure 220764DEST_PATH_IMAGE010
Figure 734922DEST_PATH_IMAGE011
Represents the height of the current sub-area of transport,
Figure 113819DEST_PATH_IMAGE012
and the height of the current goods to be placed is represented.
2. The method of claim 1, wherein said obtaining order information is preceded by:
acquiring first cargo information, wherein the first cargo information comprises corresponding first cargo basic information;
generating a corresponding first cargo graphic code according to the first cargo basic information, and carrying the first cargo basic information into the first cargo graphic code;
establishing an incidence relation between the first cargo information and the first cargo graphic code;
the acquiring of the corresponding cargo graphic code according to the cargo information includes:
and determining the cargo graphic code corresponding to the cargo information according to the association relationship.
3. The method of claim 1, wherein said determining a corresponding target transportation vehicle from said cargo basis information comprises:
acquiring a candidate transport vehicle set, wherein the candidate transport vehicle set comprises at least one candidate transport vehicle, and the candidate transport vehicle comprises corresponding preset transport conditions;
calculating to obtain cargo volume information corresponding to the cargo according to the cargo basic information;
and determining a target transport vehicle corresponding to the basic information of the goods according to the volume information of the goods and the preset transport conditions.
4. The method of claim 1, further comprising:
generating a cargo check code corresponding to the cargo according to the cargo placement position;
receiving a current scanning reading instruction corresponding to a current cargo check code, and acquiring a corresponding target cargo placing position according to the current scanning reading instruction;
and playing the placing position of the target goods.
5. The method of claim 1, further comprising:
issuing a control instruction to a control robot, wherein the control instruction carries a goods placing position corresponding to the goods;
and placing the goods into the goods placing positions corresponding to the target transport vehicles through the control robot.
6. A cargo placement position determination apparatus, characterized in that the apparatus comprises:
the order information acquisition module is used for acquiring order information, and the order information comprises goods information corresponding to at least one goods;
the cargo graphic code acquisition module is used for acquiring a corresponding cargo graphic code according to the cargo information, wherein the cargo graphic code comprises cargo basic information;
the transport vehicle determining module is used for determining a corresponding target transport vehicle according to the basic cargo information;
a placement position determination module for determining a placement position of the goods corresponding to the goods in the target transportation vehicle; wherein, when the goods are a plurality of, the locating module further comprises:
the total transportation area information acquisition module is used for acquiring total transportation area information corresponding to the target transportation vehicle;
the cargo attribute information acquisition module is used for acquiring cargo attribute information corresponding to each cargo;
the cargo identification determining module is used for determining a cargo identification corresponding to each cargo according to the cargo attribute information;
the goods placement position calculation module is used for calculating goods placement positions corresponding to the goods according to the goods identification, the goods attribute information and the total transportation area information; wherein, the goods placement position calculation module comprises:
the current goods to be placed determining module is used for determining the current goods to be placed according to the goods identification;
the current cargo attribute information acquisition module is used for acquiring current cargo attribute information corresponding to the current cargo to be placed;
the transportation sub-region information determining module is used for determining a plurality of transportation sub-region information according to the total transportation region information;
the current placement position score calculating module is used for acquiring current transportation subregion information and calculating a current placement position score corresponding to the current goods to be placed according to the current transportation subregion information and the current goods attribute information;
the current to-be-placed goods updating module is used for acquiring the next to-be-placed goods according to the goods identification, taking the next to-be-placed goods as the current to-be-placed goods, and returning to the step of acquiring the current goods attribute information corresponding to the current to-be-placed goods until the placing position scores corresponding to the goods are obtained;
each goods placing position determining module is used for determining a corresponding goods placing position according to the placing position score corresponding to each goods;
wherein the current placing position score corresponding to the current goods to be placed
Figure 397033DEST_PATH_IMAGE013
The calculation formula of (2) is as follows:
Figure 219496DEST_PATH_IMAGE014
wherein j represents the current goods to be placed, and p represents the current placing position in the current transportation sub-area;
Figure 955370DEST_PATH_IMAGE015
indicating the perimeter of the bottom edge of the current cargo to be placed,
Figure 623112DEST_PATH_IMAGE016
represents the width of the current goods to be placed,
Figure 26412DEST_PATH_IMAGE017
representing the depth of the current goods to be placed; k represents the serial number of the placed goods of the current transportation sub-area,
Figure 19776DEST_PATH_IMAGE018
indicating that the current transportation sub-area has placed a collection of goods,
Figure 742748DEST_PATH_IMAGE019
indicating the width of the k-th placed good,
Figure 479760DEST_PATH_IMAGE020
represents the depth of the kth placed cargo, W represents the width of the total area of transport, D represents the depth of the total area of transport;
Figure 737566DEST_PATH_IMAGE021
and is provided with
Figure 636252DEST_PATH_IMAGE022
Figure 346719DEST_PATH_IMAGE023
Represents the height of the current sub-area of transport,
Figure 621842DEST_PATH_IMAGE024
and the height of the current goods to be placed is represented.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 5 are implemented when the computer program is executed by the processor.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
CN202010048067.8A 2020-01-16 2020-01-16 Goods placement position determining method and device, computer equipment and storage medium Active CN111275380B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010048067.8A CN111275380B (en) 2020-01-16 2020-01-16 Goods placement position determining method and device, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010048067.8A CN111275380B (en) 2020-01-16 2020-01-16 Goods placement position determining method and device, computer equipment and storage medium

Publications (2)

Publication Number Publication Date
CN111275380A CN111275380A (en) 2020-06-12
CN111275380B true CN111275380B (en) 2022-09-09

Family

ID=70998869

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010048067.8A Active CN111275380B (en) 2020-01-16 2020-01-16 Goods placement position determining method and device, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN111275380B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111915257B (en) * 2020-07-31 2022-08-23 深圳市海柔创新科技有限公司 Container processing method, device, control equipment, system and storage medium
CN112517410B (en) * 2020-10-30 2022-07-12 锶瑞创想(上海)科技有限公司 Loading and sorting equipment for logistics storage and working method thereof
CN112802923B (en) * 2021-01-04 2022-08-09 泰州隆基乐叶光伏科技有限公司 Control method and device for battery sheet swinging equipment, equipment and computer storage medium
CN115187179B (en) * 2022-09-09 2023-01-13 北京和能人居科技有限公司 Loading scheme generation method and device, electronic equipment and computer storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110232551B (en) * 2019-06-18 2022-01-28 秒针信息技术有限公司 Goods classification method and device, storage medium and electronic device
CN110310066A (en) * 2019-07-05 2019-10-08 上海中通吉网络技术有限公司 Cargo piles up location determining method, device, equipment and storage medium

Also Published As

Publication number Publication date
CN111275380A (en) 2020-06-12

Similar Documents

Publication Publication Date Title
CN111275380B (en) Goods placement position determining method and device, computer equipment and storage medium
CN109522780B (en) Shelf information estimating device, information processing method, and terminal device
CN106779518B (en) Method and device for centralized delivery of goods
CN109408001B (en) Multi-model 3D printing method and device, 3D printing equipment and storage medium
CN110852668A (en) Goods warehousing processing method and device, warehousing system and computer equipment
CN110766194A (en) Order processing method and device, warehousing system, computer equipment and storage medium
CN113642352B (en) Method and device for acquiring text information of express delivery bill and terminal equipment
JP4485855B2 (en) Package tracking system, package tracking method and program
CN114862063A (en) Online hybrid stacking method and system, electronic device and storage medium
US9727270B2 (en) Device and method for processing placement data, and method for loading and unloading article
CN110782204B (en) Method for rapidly delivering orders
CN112775957B (en) Control method of working robot, working robot system and chip
JP4860978B2 (en) Container management system and program
CN114435840B (en) Automatic picking device, material picking method and server
CN112085130A (en) Goods management method and device, computer equipment and storage medium
CN115439069A (en) Intelligent checking method, device and equipment for unmanned archive warehouse and storage medium
CN112101872A (en) Goods warehouse-in and warehouse-out data processing method and device, computer equipment and storage medium
CN115272270A (en) Welding defect detection method, device, equipment and medium based on semi-supervision
CN114819821A (en) Goods warehouse-out checking method and device, computer equipment and storage medium
CN114511720A (en) Method and device for generating commodity template, electronic equipment and storage medium
CN113780935A (en) Intelligent logistics receiving and dispatching system and method
JP3357463B2 (en) Parts data management processor
CN115727861A (en) Vehicle path planning method and device, computer equipment and storage medium
CN114692917A (en) Method and device for generating routing sequence, computer equipment and storage medium
CN114084851A (en) Cargo positioning method, device and system, storage medium and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant