CN114065409A - Method and device for determining packing box, electronic equipment and computer readable storage medium - Google Patents
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Abstract
The embodiment of the application discloses a method and a device for determining a packing box, electronic equipment and a computer readable storage medium. In the embodiment of the application, the determining device of the packing case obtains order information and packing case size parameters of available packing cases, wherein the order information comprises the number of commodities and the commodity size parameters of the commodities; then determining whether the quantity of the commodities is greater than a preset value; when the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter; and finally, determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity. The embodiment can determine the optimal filling rate of the commodity for each packaging box, and determines the packaging box with the maximum filling rate as the packaging box to be used by the commodity, namely, the scheme can ensure that the residual space of the packaging box is minimum on the premise that the commodity can be filled into the packaging box, so that the most appropriate packaging box is recommended for the commodity.
Description
Technical Field
The application relates to the technical field of logistics transportation, in particular to a method and a device for determining a packing box, electronic equipment and a computer-readable storage medium.
Background
With the development of warehousing business, more and more owners select logistics warehouses for delivering goods, the quantity of orders delivered by warehouses is increased continuously, in the delivery link, proper packing boxes need to be selected for goods according to the conditions of the orders and the goods, and then the goods are loaded and delivered.
At present, the packing boxes are recommended for commodities basically by means of manually selecting the packing boxes for the commodities by training operators, the packing box selecting difficulty is high in the mode, the selected packing boxes are not suitable for loading the commodities at this time, and the packing boxes need to be replaced, so that the delivery time of the commodities is long, the delivery efficiency of the commodities is low, and the problem of how to recommend the suitable packing boxes for the commodities needs to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining a packing box, electronic equipment and a computer-readable storage medium, and the method and the device can recommend the proper packing box for a commodity.
In a first aspect, an embodiment of the present application provides a method for determining a packaging box, including:
acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of commodities and the commodity size parameters of the commodities;
determining whether the number of the commodities is greater than a preset value;
if the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter;
and determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
In some embodiments, the determining the optimal filling rate of each available packing case according to the packing case size parameter and the commodity size parameter respectively comprises:
determining a current packing box from the available packing boxes, wherein the current packing box is a packing box to be calculated currently;
determining a plurality of boxing sequences of the commodities according to a genetic algorithm, wherein a fitness function of the genetic algorithm is a filling rate function;
respectively determining the filling rate corresponding to each boxing sequence in the multiple boxing sequences according to the commodity size parameters and the packaging box size parameters of the current packaging box, so as to determine the optimal filling rate of the current packaging box;
and updating the current packing box according to the available packing box, and returning to execute various packing sequence steps for determining the commodities according to the genetic algorithm so as to determine the optimal filling rate of each available packing box.
In some embodiments, the determining the filling rate corresponding to each of the plurality of packing sequences according to the product size parameter and the packing box size parameter of the current packing box, so as to determine the optimal filling rate of the current packing box, includes:
respectively determining the filling rate corresponding to each boxing sequence in the multiple boxing sequences according to the commodity size parameters and the packaging box size parameters of the current packaging box based on a three-dimensional boxing algorithm;
and determining the maximum filling rate corresponding to each packing sequence as the optimal filling rate of the current packing box.
In some embodiments, after determining whether the quantity of the commodity is greater than a preset value, the method further comprises:
if the size of the available packing boxes is not larger than the preset value, sorting the available packing boxes according to the size of the packing box size parameters to obtain sorted available packing boxes;
determining whether the number of the goods is 1;
if the number of the available packing boxes is 1, determining the current packing box according to the sorted available packing boxes;
determining whether the commodities can be placed into the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameters of the current packing box and the commodity size parameters;
and if so, determining the current packing box as the target packing box.
In some embodiments, after determining whether the product can be placed in the current container orthogonally, along a face diagonal, or along a body diagonal, based on the dimensional parameters of the current container, the method further comprises:
and if not, updating the current packing box according to the sorted available packing boxes, and returning to execute the step of determining whether the commodities can be put into the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameter of the current packing box and the commodity size parameter.
In some embodiments, after determining whether the quantity of the commodity is 1, the method further comprises:
if not, determining the current packing box according to the sorted available packing boxes;
determining whether the commodity has a solution or not according to the size parameter of the current packing box, the commodity size parameter, a preset geometric constraint, a preset overlapping constraint and a preset orientation constraint;
and if the solution exists, determining the current packing box as the target packing box.
In some embodiments, after determining whether the product has a solution according to the size parameter of the current packing box, the product size parameter, the preset geometric constraint, the preset overlap constraint, and the preset orientation constraint, the method further comprises:
if not, updating the current packing box according to the sorted available packing boxes, and returning to execute the step of determining whether the commodity has a solution according to the size parameter of the current packing box, the commodity size parameter, the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint.
In a second aspect, an embodiment of the present application further provides an apparatus for determining a packaging box, including:
the system comprises a first acquisition unit, a second acquisition unit and a display unit, wherein the first acquisition unit is used for acquiring order information and packing case size parameters of available packing cases, and the order information comprises the quantity of commodities and the commodity size parameters of the commodities;
the first determining unit is used for determining whether the quantity of the commodities is greater than a preset value;
the second determining unit is used for respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter when the quantity of the commodities is larger than the preset value;
and the third determining unit is used for determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
In some embodiments, the second determination unit comprises:
the first determining subunit is used for determining a current packing box from the available packing boxes, and the current packing box is a packing box to be calculated currently;
the second determining subunit is used for determining a plurality of boxing sequences of the commodities according to a genetic algorithm, wherein a fitness function of the genetic algorithm is a filling rate function;
a third determining subunit, configured to determine, according to the product size parameter and the packing box size parameter of the current packing box, a filling rate corresponding to each of the multiple packing sequences, so as to determine an optimal filling rate of the current packing box;
and the updating subunit is used for updating the current packing box according to the available packing box and returning to execute the steps of determining various packing sequences of the commodities according to the genetic algorithm so as to determine the optimal filling rate of each available packing box.
In some embodiments, the third determining subunit is specifically configured to:
respectively determining the filling rate corresponding to each boxing sequence in the multiple boxing sequences according to the commodity size parameters and the packaging box size parameters of the current packaging box based on a three-dimensional boxing algorithm;
and determining the maximum filling rate corresponding to each packing sequence as the optimal filling rate of the current packing box.
In some embodiments, the apparatus further comprises:
the fourth determining unit is used for sorting the available packing boxes according to the size of the packing box dimension parameters to obtain sorted available packing boxes when the commodity quantity is not greater than the preset value;
a fifth determination unit for determining whether the number of the commodities is 1;
a sixth determining unit, configured to determine, when the number of the commodities is 1, a current packing box according to the sorted available packing boxes;
a seventh determining unit, configured to determine whether the product can be placed into the current packing box orthogonally, along a face diagonal line, or along a body diagonal line, according to the size parameter of the current packing box and the product size parameter;
an eighth determining unit, configured to determine the current packing box as the target packing box when the product may be placed in the current packing box orthogonally, along a face diagonal line, or along a body diagonal line.
In some embodiments, the apparatus further comprises:
and the first updating unit is used for updating the current packing box according to the sorted available packing boxes when the commodities can not be placed in the current packing box in an orthogonal mode, along a face diagonal line or along a body diagonal line, and returning to execute the step of determining whether the commodities can be placed in the current packing box in an orthogonal mode, along the face diagonal line or along the body diagonal line according to the size parameters of the current packing box and the commodity size parameters.
In some embodiments, the apparatus further comprises:
a ninth determining unit, configured to determine, when the number of the goods is not 1, a current packing box according to the sorted available packing boxes;
a tenth determining unit, configured to determine whether the product has a solution according to the size parameter of the current packaging box, the product size parameter, a preset geometric constraint, a preset overlap constraint, and a preset orientation constraint;
an eleventh determining unit, configured to determine the current packing box as the target packing box when the product has a solution.
In some embodiments, the apparatus further comprises:
and the second updating unit is used for updating the current packing box according to the sorted available packing boxes when the commodity has a solution, and returning to execute the step of determining whether the commodity has the solution according to the size parameter of the current packing box, the commodity size parameter, the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint.
In a third aspect, an embodiment of the present application further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor executes, when calling the computer program in the memory, any one of the steps in the method for determining a packaging box provided in the embodiment of the present application.
In a fourth aspect, the present application further provides a computer-readable storage medium, where a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor to perform the steps in any one of the methods for determining a packaging box provided in the embodiments of the present application.
In the embodiment of the application, a determining device of a packing case obtains order information and packing case size parameters of available packing cases, wherein the order information comprises the number of commodities and the commodity size parameters of the commodities; then determining whether the number of the commodities is greater than a preset value; when the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter; and finally, determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity. The embodiment can determine the optimal filling rate of the commodity for each packaging box, and determines the packaging box with the maximum filling rate as the packaging box to be used by the commodity, namely, the scheme can ensure that the residual space of the packaging box is minimum on the premise that the commodity can be filled into the packaging box, so that the most appropriate packaging box is recommended for the commodity.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for determining a packaging box according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a method for determining a packaging box according to an embodiment of the present application;
fig. 3 is another schematic flow chart of a method for determining a packaging box according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a packaging box determination device provided in an embodiment of the present application;
fig. 5 is another schematic structural diagram of a packaging box determination device provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description that follows, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise indicated. Accordingly, these steps and operations will be referred to, several times, as being performed by a computer, the computer performing operations involving a processing unit of the computer in electronic signals representing data in a structured form. This operation transforms the data or maintains it at locations in the computer's memory system, which may be reconfigured or otherwise altered in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, while the principles of the application have been described in language specific to above, it is not intended to be limited to the specific form set forth herein, and it will be recognized by those of ordinary skill in the art that various of the steps and operations described below may be implemented in hardware.
The principles of the present application may be employed in numerous other general-purpose or special-purpose computing, communication environments or configurations. Examples of well known computing systems, environments, and configurations that may be suitable for use with the application include, but are not limited to, hand-held telephones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe-based computers, and distributed computing environments that include any of the above systems or devices.
The terms "first", "second", and "third", etc. in this application are used to distinguish between different objects and not to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for determining a packaging box according to an embodiment of the present application. The execution main body of the determination method of the packing box can be the determination device of the packing box provided by the embodiment of the application or an electronic device integrated with the determination device of the packing box, wherein the determination device of the packing box can be realized in a hardware or software mode, the electronic device can be a terminal or a server, and the terminal can be a smart phone, a tablet computer, a palm computer, a notebook computer or the like. The method for determining the packaging box can comprise the following steps:
101. and acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of the commodities and the commodity size parameters of the commodities.
In this embodiment, the packing box size parameters may include parameters of length, width, and height of the packing box, and the commodity size parameters may include parameters of length, width, and height of the commodity, and the available packing box is a packing box that is currently idle in the warehouse and can be used for loading the commodity in the order.
The scheme needs to find a proper packing box in the available packing box to load the commodity in the order.
102. And when the quantity of the commodities is larger than a preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameters and the commodity size parameters.
In this embodiment, the preset value may be 5, or may be other data, which is not limited herein.
When the number of the commodities in the order is larger than the preset value, the optimal filling rate of each available packing box needs to be respectively determined according to the packing box size parameter and the commodity size parameter.
In some embodiments, the method of determining the maximum fill rate for each available package is as follows:
a. the current package is determined from the available packages.
In this embodiment, the current packing case may be randomly determined from the available packing cases, wherein the current packing case is a packing case that has not been calculated among the available packing cases.
b. And determining various boxing sequences of the commodities according to a genetic algorithm, wherein the fitness function of the genetic algorithm is a filling rate function.
In this embodiment, the commodity packing sequence of the genetic algorithm order is a gene, and iteration and optimization of the packing sequence are performed by using intersection and mutation in the genetic process to obtain various packing sequences of commodities. Wherein, the random fragments of the two groups of genes are exchanged in an interdigital way, and the mutation refers to the random change of the turnover posture of the commodity boxed in the genes.
The algorithm employs a PMX (partial mapping) crossover operator and simple random mutation. Through continuous parameter adjustment test, three parameters of proper population number limit, iteration times and mutation probability are selected, and balance of algorithm performance, result accuracy and operation time is achieved.
c. And respectively determining the filling rate corresponding to each packing sequence in the multiple packing sequences according to the commodity size parameter and the packing box size parameter of the current packing box, thereby determining the optimal filling rate of the current packing box.
Specifically, based on a three-dimensional packing algorithm, respectively determining the filling rate corresponding to each packing sequence in a plurality of packing sequences according to the commodity size parameter and the packing box size parameter of the current packing box; and then determining the maximum filling rate corresponding to each packing sequence as the optimal filling rate of the current packing box, wherein the optimal filling rate of the current packing box is the maximum filling rate corresponding to the current packing box.
Namely, for each boxing sequence in a plurality of boxing sequences of commodities, respectively executing the following steps: and sequentially boxing the commodities, calculating the residual space of the packaging box after the occupied space of the boxed commodities is removed according to the size parameters of the commodities and the size parameter of the current packaging box by using a three-dimensional boxing algorithm when one commodity is loaded, putting the next commodity into the residual space, continuously calculating the residual space until all the commodities are put into the packaging box, and determining the filling rate of the current packaging box according to the residual space.
And respectively carrying out three-dimensional packing algorithm calculation according to each packing sequence, and after respectively determining the filling rate corresponding to each packing sequence, determining the filling rate with the maximum value as the optimal filling rate of the current packing box.
If the residual space cannot put down subsequent commodities, the algorithm adjusts the merging scheme of the residual space, if the commodities are still not put down after traversing according to a preset adjusting strategy and are still not put down after iterating for a specified number of times, the current packing sequence is abandoned, if all packing sequences meet the condition, the current packing box is abandoned, and if all packing boxes meet the condition, the result that the commodities cannot be packed is output.
d. The current packing box is updated according to the available packing boxes, and the steps of determining the various packing sequences of the commodities according to the genetic algorithm are returned to be executed so as to determine the optimal filling rate of each available packing box.
In this embodiment, when the current packing box is updated according to the available packing box, one non-calculated packing box is selected from the available packing box as the updated current packing box. And returning to execute the step b and the step c according to the updated packing box dimension parameters of the packing boxes until the overfilling rate is calculated for each packing box in the available packing boxes.
103. And determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
In this embodiment, after the optimal filling rate of each available packing box is determined, the available packing box with the highest optimal filling rate is determined as the target packing box of the commodity.
At this point, the maximum filling rate generally represents the smallest total volume of the available packaging boxes, so as to achieve the goal of package recommendation.
In the embodiment of the application, the determining device of the packing case obtains order information and packing case size parameters of available packing cases, wherein the order information comprises the number of commodities and the commodity size parameters of the commodities; then determining whether the quantity of the commodities is greater than a preset value; when the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter; and finally, determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity. The embodiment can determine the optimal filling rate of the commodity for each packaging box, and determines the packaging box with the maximum filling rate as the packaging box to be used by the commodity, namely, the scheme can ensure that the residual space of the packaging box is minimum on the premise that the commodity can be filled into the packaging box, so that the most appropriate packaging box is recommended for the commodity.
The above describes a method for determining the packing cases when the number of the commodities in the order is greater than the preset value, and the following describes a method for determining the packing cases when the number of the commodities in the order is not greater than the preset value. Please refer to fig. 2:
201. and acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of the commodities and the commodity size parameters of the commodities.
Step 201 is the same as step 101 in the embodiment corresponding to fig. 1, and details thereof are not described herein.
202. And when the quantity of the commodities is not more than the preset value, sorting the available packing boxes according to the size of the size parameters of the packing boxes to obtain the sorted available packing boxes.
In this embodiment, when the number of the commodities is small, for example, not greater than 5 (the preset value may be 5, or may be other values, and is not specifically limited herein), at this time, the available packing boxes are sorted according to the size of the packing box size parameter to obtain sorted available packing boxes, specifically, the volume of each available packing box is determined according to the packing box size parameter, and then the packing boxes are sorted from small to large according to the size of the volume.
203. Determining whether the number of the commodities is 1, if so, executing the steps 204 to 207, and if not, executing the steps 208 to 211.
In the present embodiment, after it is determined that the number of commodities is not more than 5, at this time, it is determined whether the number of commodities is 1. In some embodiments, step 202 and step 203 are executed without a sequential relationship, that is, step 203 may be executed before step 202 or simultaneously with step 202.
204. And determining the current packing box according to the sorted available packing boxes.
Specifically, the packaging box with the smallest volume which is not calculated currently is determined as the current packaging box.
205. And determining whether the commodities can be placed in the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameters of the current packing box and the commodity size parameters, if so, executing a step 206, and if not, executing a step 207.
When a single commodity is packed, the calculation is simple, and the commodity can be placed into the current packing box along the orthogonal, surface diagonal or body diagonal.
206. And determining the current packing box as the target packing box.
If the commodity can be put into the current packing box in an orthogonal, face diagonal or body diagonal mode, the current packing box is determined to be the target packing box. Because the current packing box is the packing box that has carried out the sequencing according to the volume size, so the target packing box is the packing box that can adorn the volume minimum in the commodity.
207. And updating the current packing box according to the sorted available packing box, and returning to execute the step 205.
Specifically, the packing box with the smallest volume among the packing boxes which are not calculated in the available packing boxes is updated to be the current packing box, and the step 205 is returned to be executed until the packing box which can be put in is found, and if all the available packing boxes cannot be packed after polling is finished, the result that the packing box cannot be packed is output at the moment.
208. And determining the current packing box according to the sorted available packing boxes.
And when the number of the commodities in the order is more than 1 and not more than 5 (preset value), determining the current packing box according to the sorted available packing boxes.
209. And determining whether the commodity has a solution according to the size parameter of the current packing box, the commodity size parameter, the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint, if so, executing the step 210, and if not, executing the step 211.
After the current packing box is determined, whether the commodity is solved or not is determined according to the size parameter, the commodity size parameter, the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint of the current packing box, namely whether the commodity can be placed into the current packing box under the condition that the commodity meets the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint is determined. If the input can be carried out, the solution exists, and if the input cannot be carried out, the solution does not exist.
210. And determining the current packing box as the target packing box.
And if the current packing box is determined to be the target packing box of the commodity.
211. And updating the current packing box according to the sorted available packing boxes, and returning to execute the step 209.
Specifically, the packing box with the smallest volume among the packing boxes which are not calculated in the available packing boxes is updated to be the current packing box, the step 209 is executed again until the packing box which can be put in the commodity is found, and if all the available packing boxes cannot be packed after polling is finished, the result that the packing box cannot be packed is output at the moment.
The embodiment provides a package box recommendation method for the commodities of which the number of commodities is not more than a preset value in an order, and particularly provides a package box recommendation method for the commodities under the two conditions that the number of commodities is 1 and the number of commodities is more than 1 and not more than 5 respectively.
The method for determining the packing box according to the embodiment described above with reference to fig. 1 and 2 will be described in further detail below.
Referring to fig. 3, fig. 3 is another schematic flow chart of a method for determining a packaging box according to an embodiment of the present application. In this embodiment, the execution subject is a server, and the preset value is 5, which is an example to describe the method for determining the packaging box in this embodiment, as shown in fig. 3, a flow of the method for determining the packaging box may be as follows:
301. and acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of the commodities and the commodity size parameters of the commodities.
The size parameters of the packing box can comprise the length, width and height of the packing box, the size parameters of the commodity can comprise the length, width and height of the commodity, and the available packing box is the packing box which is currently idle in the warehouse and can be used for loading the commodity in the order.
302. Determining whether the quantity of the goods is greater than 5, if so, executing steps 303 to 309, and if not, executing steps 310 to 319.
After the order information is obtained, the quantity of the commodities in the order information is judged first, so that the method for recommending the packing boxes for the commodities is determined.
303. And determining the current packing box from the available packing boxes, wherein the current packing box is the packing box to be calculated currently.
If the number of the commodities is more than 5, the current packing box is determined from the available packing boxes at any time, wherein the current packing box in the application is the packing box which is not calculated in the available packing boxes.
304. A plurality of packing sequences of the goods are determined according to a genetic algorithm.
In the embodiment, a fitness function of a genetic algorithm is set as a filling rate function, an order commodity packing sequence is used as a gene, and iteration and optimization of the packing sequence are performed by using intersection and mutation in the genetic process to obtain various packing sequences of commodities.
The algorithm employs a PMX (partial mapping) crossover operator and simple random mutation. Through continuous parameter adjustment test, three parameters of proper population number limit, iteration times and mutation probability are selected, and balance of algorithm performance, result accuracy and operation time is achieved.
305. And respectively determining the filling rate corresponding to each packing sequence in the multiple packing sequences according to the commodity size parameter and the packing box size parameter of the current packing box based on a three-dimensional packing algorithm.
In this embodiment, for each of a plurality of boxing orders of a commodity, the three-dimensional boxing algorithm is performed: and sequentially boxing the commodities, calculating the residual space of the packaging box after the occupied space of the boxed commodities is removed according to the size parameters of the commodities and the size parameter of the current packaging box by using a three-dimensional boxing algorithm when one commodity is loaded, putting the next commodity into the residual space, continuously calculating the residual space until all the commodities are put into the packaging box, and determining the filling rate of the current packaging box according to the residual space.
If the residual space cannot put down subsequent commodities, the algorithm adjusts the merging scheme of the residual space, if the commodities are still not put down after traversing according to a preset adjusting strategy and are still not put down after iterating for a specified number of times, the current packing sequence is abandoned, if all packing sequences meet the condition, the current packing box is abandoned, and if all packing boxes meet the condition, the result that the commodities cannot be packed is output.
306. And determining the maximum filling rate corresponding to the packing sequence as the optimal filling rate of the current packing box.
In this embodiment, after the filling rate corresponding to each packing sequence is calculated, the filling material with the largest value is determined as the optimal filling rate of the current packing box.
307. It is determined whether all available containers have been calculated for optimal filling, if so, step 309 is performed, and if not, step 308 is performed.
308. The current container is updated with the available containers and the process returns to step 304 to determine the optimal filling rate for each available container.
In this embodiment, if there is an available packing box whose optimal filling rate has not been calculated, the current packing box needs to be updated according to the available packing box, and specifically, one of the uncomputed packing boxes is selected from the available packing box as the updated current packing box.
309. And determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
In this embodiment, after the optimal filling rate of each available packing box is determined, the available packing box with the highest optimal filling rate is determined as the target packing box of the commodity.
At this point, the maximum filling rate generally represents the smallest total volume of the available packaging boxes, so as to achieve the goal of package recommendation.
310. And sorting the available packing boxes according to the size of the size parameter of the packing boxes to obtain the sorted available packing boxes.
In this embodiment, when the number of the commodities in the order is not greater than 5, the available packing boxes are sorted according to the size of the packing box size parameter to obtain the sorted available packing boxes.
Specifically, the volume of each available packaging box is determined according to the size parameters of the packaging boxes, and then the packaging boxes are sorted from small to large according to the size of the volume.
311. Determining whether the quantity of the goods is 1, if yes, executing step 312 to step 315, and if no, executing step 316 to step 319.
In some embodiments, step 311 and step 310 are executed without any order, that is, step 311 may be executed before step 310 or simultaneously with step 310.
312. And determining the current packing box according to the sorted available packing boxes.
In this embodiment, the packaging box with the smallest volume that is not calculated at present is determined as the current packaging box.
313. And determining whether the commodities can be placed in the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameters of the current packing box and the commodity size parameters, if so, executing a step 314, and if not, executing a step 315.
When the number of the commodities in the order is 1 and the current packing box needing to be calculated is determined according to the sorted available packing boxes, whether the commodities can be placed in the current packing box in an orthogonal mode or along a face diagonal line or a body diagonal line is determined according to the size parameter of the current packing box and the commodity size parameter.
314. And determining the current packing box as the target packing box.
In the step, the current packing box can be determined as the target packing box only by putting the commodities into the current packing box in an orthogonal mode or along a surface diagonal line or a body diagonal line.
315. And updating the current packing box according to the sorted available packing box, and returning to execute the step 313.
If the commodity cannot be placed into the current packing box according to the orthogonal direction, the face diagonal line and the body diagonal line, the current packing box can be updated according to the sorted available packing boxes, namely, the packing box with the smallest volume which is not calculated currently is selected from the sorted available packing boxes in sequence, and the packing box with the smallest volume is determined as the current packing box.
It should be noted that if all available packing boxes are polled, no suitable packing box is found, and then the result that the commodity cannot be packed is output.
316. And determining the current packing box according to the sorted available packing boxes.
In this embodiment, when the number of the commodities in the order is greater than 1 and not greater than 5, the current packing box is determined according to the sorted available packing boxes.
317. And determining whether the commodity has a solution according to the size parameter of the current packing box, the commodity size parameter, the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint, if so, executing step 318, and if not, executing step 319.
In the embodiment, three constraints are preset to ensure the reasonability of results, namely geometric constraint, overlapping constraint and directional speed, wherein the constraint is integrated to limit the commodity coordinate not to be larger than the length, width and height of a packing box, so that the commodity is ensured not to exceed the specification of the packing box when being placed; overlapping constraint, which limits the commodity coordinates not to be in other commodity spaces and ensures that the commodities are not overlapped when placed; orientation constraint limits that the commodities can only be placed in parallel to the coordinate axis, and orthogonal placement of the commodities is guaranteed.
318. And determining the current packing box as the target packing box.
If the commodity is determined to have a solution in the current packing box according to the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint, the situation that the commodity can be placed into the current packing box on the premise that the commodity simultaneously meets the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint is shown, and the current packing box is determined to be the target packing box.
319. And updating the current packing box according to the sorted available packing boxes, and returning to execute the step 317.
In this embodiment, if it is determined that the commodity has no solution in the current packaging box according to the preset geometric constraint, the preset overlap constraint, and the preset orientation constraint, it indicates that the commodity cannot be placed into the current packaging box on the premise that the three constraints are simultaneously met, and at this time, the current packaging box needs to be updated according to the sorted available packaging boxes
It should be noted that if all available packing boxes are polled, no suitable packing box is found, and then the result that the commodity cannot be packed is output.
In the embodiment of the application, the determining device of the packing case obtains order information and packing case size parameters of available packing cases, wherein the order information comprises the number of commodities and the commodity size parameters of the commodities; then determining whether the quantity of the commodities is greater than a preset value; when the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter; and finally, determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity. The embodiment can determine the optimal filling rate of the commodity for each packaging box, and determines the packaging box with the maximum filling rate as the packaging box to be used by the commodity, namely, the scheme can ensure that the residual space of the packaging box is minimum on the premise that the commodity can be filled into the packaging box, so that the most appropriate packaging box is recommended for the commodity.
In order to better implement the method for determining the packaging box provided by the embodiment of the application, the embodiment of the application also provides a device based on the method for determining the packaging box. The meaning of the noun is the same as that in the determination method of the packaging box, and the specific implementation details can refer to the description in the method embodiment.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a determining apparatus for a packing box according to an embodiment of the present application, wherein the determining apparatus 400 for a packing box may include a first obtaining unit 401, a first determining unit 402, a second determining unit 403, a third determining unit 404, and the like. Wherein:
a first obtaining unit 401, configured to obtain order information and package box size parameters of available package boxes, where the order information includes the number of commodities and the commodity size parameters of the commodities;
a first determining unit 402, configured to determine whether the quantity of the product is greater than a preset value;
a second determining unit 403, configured to determine, according to the packing box size parameter and the product size parameter, an optimal filling rate of each available packing box when the number of the products is greater than the preset value;
a third determining unit 404, configured to determine the available packing box with the largest optimal filling rate as the target packing box of the product.
Referring to fig. 5, in some embodiments, the second determining unit 403 includes:
a first determining subunit 4031, configured to determine a current packaging box from the available packaging boxes, where the current packaging box is a packaging box to be currently calculated;
a second determining subunit 4032, configured to determine a plurality of boxing orders of the commodity according to a genetic algorithm, where a fitness function of the genetic algorithm is a fill rate function;
a third determining subunit 4033, configured to determine, according to the product size parameter and the packing box size parameter of the current packing box, a filling rate corresponding to each of the multiple packing sequences, so as to determine an optimal filling rate of the current packing box;
an updating subunit 4034, configured to update the current packaging box according to the available packaging box, and return to execute the steps of determining the various packaging sequences of the product according to the genetic algorithm, so as to determine an optimal filling rate of each available packaging box.
In some embodiments, the third determining subunit 4033 is specifically configured to:
respectively determining the filling rate corresponding to each boxing sequence in the multiple boxing sequences according to the commodity size parameters and the packaging box size parameters of the current packaging box based on a three-dimensional boxing algorithm;
and determining the maximum filling rate corresponding to each packing sequence as the optimal filling rate of the current packing box.
In some embodiments, the apparatus 400 further comprises:
a fourth determining unit 405, configured to sort the available packing boxes according to size of the packing box size parameter when the number of the commodities is not greater than the preset value, so as to obtain sorted available packing boxes;
a fifth determining unit 406 for determining whether the number of the goods is 1;
a sixth determining unit 407, configured to determine, when the number of the articles is 1, a current packing box according to the sorted available packing boxes;
a seventh determining unit 408, configured to determine whether the product can be placed into the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameter of the current packing box and the product size parameter;
an eighth determining unit 409, configured to determine the current packing box as the target packing box when the product may be placed in the current packing box orthogonally, along a face diagonal line, or along a body diagonal line.
In some embodiments, the apparatus 400 further comprises:
a first updating unit 410, configured to update the current packing box according to the sorted available packing boxes when the product may not be placed in an orthogonal manner, along a face diagonal line or along a body diagonal line, and return to perform the step of determining whether the product may be placed in the current packing box in an orthogonal manner, along a face diagonal line or along a body diagonal line according to the size parameter of the current packing box and the product size parameter.
In some embodiments, the apparatus 400 further comprises:
a ninth determining unit 411, configured to determine, when the number of the articles is not 1, a current packing box according to the sorted available packing boxes;
a tenth determining unit 412, configured to determine whether the product has a solution according to the size parameter of the current packaging box, the product size parameter, a preset geometric constraint, a preset overlap constraint, and a preset orientation constraint;
an eleventh determining unit 413, configured to determine the current packing box as the target packing box when the product has a solution.
In some embodiments, the apparatus 400 further comprises:
and a second updating unit 414, configured to update the current packing box according to the sorted available packing boxes when the commodity has a solution, and return to execute the step of determining whether the commodity has a solution according to the size parameter of the current packing box, the commodity size parameter, the preset geometric constraint, the preset overlap constraint, and the preset orientation constraint.
In this embodiment of the application, the first obtaining unit 401 obtains order information and packing case size parameters of available packing cases, where the order information includes the number of commodities and the commodity size parameters of the commodities; then the first determining unit 402 determines whether the number of the goods is greater than a preset value; when the filling rate is greater than the preset value, the second determining unit 403 determines the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter; finally, the third determination unit 404 determines the available packing box with the maximum optimal filling rate as the target packing box of the product. The embodiment can determine the optimal filling rate of the commodity for each packaging box, and determines the packaging box with the maximum filling rate as the packaging box to be used by the commodity, namely, the scheme can ensure that the residual space of the packaging box is minimum on the premise that the commodity can be filled into the packaging box, so that the most appropriate packaging box is recommended for the commodity.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Referring to fig. 6, the present embodiment provides a server 600, which may include one or more processors 601 of a processing core, one or more memories 602 of a computer-readable storage medium, a Radio Frequency (RF) circuit 603, a power supply 604, an input unit 605, and a display unit 606. Those skilled in the art will appreciate that the server architecture shown in FIG. 6 is not meant to be limiting, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 601 is a control center of the server, connects various parts of the entire server using various interfaces and lines, and performs various functions of the server and processes data by running or executing software programs and/or modules stored in the memory 602 and calling data stored in the memory 602, thereby performing overall monitoring of the server. Optionally, processor 601 may include one or more processing cores; preferably, the processor 601 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 601.
The memory 602 may be used to store software programs and modules, and the processor 601 executes various functional applications and data processing by operating the software programs and modules stored in the memory 602.
The RF circuitry 603 may be used for receiving and transmitting signals during the process of transmitting and receiving information.
The server also includes a power supply 604 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 601 via a power management system to manage charging, discharging, and power consumption management functions via the power management system.
The server may also include an input unit 605, and the input unit 605 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
The server may also include a display unit 606, and the display unit 606 may be used to display information input by the user or provided to the user, as well as various graphical user interfaces of the server, which may be made up of graphics, text, icons, video, and any combination thereof. Specifically, in this embodiment, the processor 601 in the server loads the executable file corresponding to the process of one or more application programs into the memory 602 according to the following instructions, and the processor 601 runs the application programs stored in the memory 602, thereby implementing various functions as follows:
acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of commodities and the commodity size parameters of the commodities;
determining whether the number of the commodities is greater than a preset value;
if the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter;
and determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
In the above embodiments, the descriptions of the embodiments have respective emphasis, and a part which is not described in detail in a certain embodiment may refer to the above detailed description of the determination method for the packaging box, and is not described herein again.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, embodiments of the present application provide a computer-readable storage medium, in which a plurality of instructions are stored, where the instructions can be loaded by a processor to execute the steps in any one of the determination methods for a packaging box provided in the embodiments of the present application. For example, the instructions may perform the steps of:
acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of commodities and the commodity size parameters of the commodities;
determining whether the number of the commodities is greater than a preset value;
if the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter;
and determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the computer-readable storage medium can execute the steps in the method for determining any packaging box provided in the embodiment of the present application, the beneficial effects that can be achieved by the method for determining any packaging box provided in the embodiment of the present application can be achieved, which are detailed in the foregoing embodiments and will not be described again here.
The method, the apparatus, the electronic device and the computer-readable storage medium for determining the packaging box provided in the embodiments of the present application are described in detail above, and a specific example is applied in the description to explain the principles and embodiments of the present application, and the description of the embodiments is only used to help understanding the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method of determining a packaging case, comprising:
acquiring order information and packing case size parameters of available packing cases, wherein the order information comprises the quantity of commodities and the commodity size parameters of the commodities;
determining whether the number of the commodities is greater than a preset value;
if the filling rate is larger than the preset value, respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter;
and determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
2. The method of claim 1, wherein said determining an optimal filling rate for each of said available containers based on said container size parameter and said product size parameter, respectively, comprises:
determining a current packing box from the available packing boxes, wherein the current packing box is a packing box to be calculated currently;
determining a plurality of boxing sequences of the commodities according to a genetic algorithm, wherein a fitness function of the genetic algorithm is a filling rate function;
respectively determining the filling rate corresponding to each boxing sequence in the multiple boxing sequences according to the commodity size parameters and the packaging box size parameters of the current packaging box, so as to determine the optimal filling rate of the current packaging box;
and updating the current packing box according to the available packing box, and returning to execute various packing sequence steps for determining the commodities according to the genetic algorithm so as to determine the optimal filling rate of each available packing box.
3. The method as claimed in claim 2, wherein the determining the filling rate corresponding to each of the plurality of packing sequences according to the product size parameter and the packing box size parameter of the current packing box, so as to determine the optimal filling rate of the current packing box, comprises:
respectively determining the filling rate corresponding to each boxing sequence in the multiple boxing sequences according to the commodity size parameters and the packaging box size parameters of the current packaging box based on a three-dimensional boxing algorithm;
and determining the maximum filling rate corresponding to each packing sequence as the optimal filling rate of the current packing box.
4. The method of claim 1, wherein after determining whether the quantity of the item is greater than a predetermined value, the method further comprises:
if the size of the available packing boxes is not larger than the preset value, sorting the available packing boxes according to the size of the packing box size parameters to obtain sorted available packing boxes;
determining whether the number of the goods is 1;
if the number of the available packing boxes is 1, determining the current packing box according to the sorted available packing boxes;
determining whether the commodities can be placed into the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameters of the current packing box and the commodity size parameters;
and if so, determining the current packing box as the target packing box.
5. The method of claim 4, wherein said determining whether said product can be placed into said current container orthogonally, along a face diagonal or along a body diagonal based on a dimensional parameter of said current container, further comprises:
and if not, updating the current packing box according to the sorted available packing boxes, and returning to execute the step of determining whether the commodities can be put into the current packing box orthogonally, along a face diagonal line or along a body diagonal line according to the size parameter of the current packing box and the commodity size parameter.
6. The method of claim 4, wherein after determining whether the quantity of the good is 1, the method further comprises:
if not, determining the current packing box according to the sorted available packing boxes;
determining whether the commodity has a solution or not according to the size parameter of the current packing box, the commodity size parameter, a preset geometric constraint, a preset overlapping constraint and a preset orientation constraint;
and if the solution exists, determining the current packing box as the target packing box.
7. The method of claim 6, wherein after determining whether the product has a solution based on the size parameter of the current package, the product size parameter, a preset geometric constraint, a preset overlay constraint, and a preset orientation constraint, the method further comprises:
if not, updating the current packing box according to the sorted available packing boxes, and returning to execute the step of determining whether the commodity has a solution according to the size parameter of the current packing box, the commodity size parameter, the preset geometric constraint, the preset overlapping constraint and the preset orientation constraint.
8. An apparatus for determining a packaging box, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a display unit, wherein the first acquisition unit is used for acquiring order information and packing case size parameters of available packing cases, and the order information comprises the quantity of commodities and the commodity size parameters of the commodities;
the first determining unit is used for determining whether the quantity of the commodities is greater than a preset value;
the second determining unit is used for respectively determining the optimal filling rate of each available packing box according to the packing box size parameter and the commodity size parameter when the quantity of the commodities is larger than the preset value;
and the third determining unit is used for determining the available packing box with the maximum optimal filling rate as the target packing box of the commodity.
9. An electronic device comprising a processor and a memory, wherein the memory stores a computer program, and the processor executes the method for determining a packaging box according to any one of claims 1 to 7 when calling the computer program in the memory.
10. A computer readable storage medium storing instructions adapted to be loaded by a processor to perform the method of determining a package according to any one of claims 1 to 7.
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| CN202010781108.4A CN114065409A (en) | 2020-08-06 | 2020-08-06 | Method and device for determining packing box, electronic equipment and computer readable storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116664054A (en) * | 2023-07-28 | 2023-08-29 | 天津翔铄车身科技有限公司 | Product unloading management method and system based on customer order quantity |
| WO2023207502A1 (en) * | 2022-04-27 | 2023-11-02 | 北京极智嘉科技股份有限公司 | Order packaging method and apparatus, device, and storage medium |
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2020
- 2020-08-06 CN CN202010781108.4A patent/CN114065409A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023207502A1 (en) * | 2022-04-27 | 2023-11-02 | 北京极智嘉科技股份有限公司 | Order packaging method and apparatus, device, and storage medium |
| CN116664054A (en) * | 2023-07-28 | 2023-08-29 | 天津翔铄车身科技有限公司 | Product unloading management method and system based on customer order quantity |
| CN116664054B (en) * | 2023-07-28 | 2023-09-29 | 天津翔铄车身科技有限公司 | Product unloading management method and system based on customer order quantity |
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