CN118195046A - Cargo boxing method and device - Google Patents

Abstract

The disclosure provides a cargo boxing method and device, relates to the technical field of computers, and particularly relates to the technical field of logistics. The specific embodiment comprises the following steps: acquiring the volume and the weight of goods to be boxed; determining the bubble weight ratio of the cargo according to the volume and the weight; determining each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of the cargoes to be boxed; and selecting an optimal boxing mode from all the candidate boxing modes according to a preset boxing effect evaluation rule. The method and the device can accurately determine the boxing mode with the optimal boxing effect through the boxing effect of each candidate boxing mode.

Description

Cargo boxing method and device

Technical Field

The disclosure relates to the technical field of computers, in particular to the technical field of logistics, and particularly relates to a cargo boxing method and device.

Background

With the development of internet technology, more and more people choose to shop online, which also contributes to the development of logistics industry.

The packing of the goods may be referred to as "palletizing". In the actual boxing process, the field staff is required to determine the number of required containers according to boxing experience, and then boxing is carried out. If the experience of the operator is insufficient, the boxing effect cannot be ensured.

Disclosure of Invention

Provided are a cargo boxing method, a cargo boxing device, an electronic device and a storage medium.

According to a first aspect, there is provided a method of boxing cargo, comprising: acquiring the volume and the weight of goods to be boxed; determining the bubble weight ratio of the cargo according to the volume and the weight; determining each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of the cargoes to be boxed; and selecting an optimal boxing mode from all the candidate boxing modes according to a preset boxing effect evaluation rule.

According to a second aspect, there is provided a cargo boxing apparatus comprising: an acquisition unit configured to acquire a volume and a weight of a cargo to be boxed; a determining unit configured to determine a bubble weight ratio of the cargo based on the volume and the weight; the candidate unit is configured to determine each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of each cargo to be boxed; and the selecting unit is configured to select the optimal boxing mode from the candidate boxing modes according to a preset boxing effect evaluation rule.

According to a third aspect, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the embodiments of the method of boxing cargo.

According to a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method according to any one of the embodiments of a method of boxing goods.

According to a fifth aspect, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of the embodiments of the method of boxing goods.

According to the scheme of the disclosure, the boxing mode with the optimal boxing effect can be accurately determined through the boxing effect of each candidate boxing mode.

Drawings

Other features, objects and advantages of the present disclosure will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings:

FIG. 1 is an exemplary system architecture diagram in which some embodiments of the present disclosure may be applied;

FIG. 2 is a flow chart of one embodiment of a method of boxing cargo in accordance with the present disclosure;

FIG. 3 is a schematic illustration of one application scenario of a cargo boxing method in accordance with the present disclosure;

FIG. 4a is a flow chart of yet another embodiment of a method of boxing cargo in accordance with the present disclosure;

FIG. 4b is a schematic illustration of a manner of boxing of cargo in accordance with the boxing method of the present disclosure;

FIG. 5 is a schematic structural view of one embodiment of a cargo boxing apparatus in accordance with the present disclosure;

fig. 6 is a block diagram of an electronic device for implementing a method of boxing goods in accordance with an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related personal information of the user accord with the regulations of related laws and regulations, necessary security measures are taken, and the public order harmony is not violated.

It should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of a method of boxing a good or a device of boxing a good of the present disclosure may be applied.

As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as video-type applications, live applications, instant messaging tools, mailbox clients, social platform software, etc., may be installed on the terminal devices 101, 102, 103.

The terminal devices 101, 102, 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices with display screens, including but not limited to smartphones, tablets, electronic book readers, laptop and desktop computers, and the like. When the terminal devices 101, 102, 103 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., multiple software or software modules for providing distributed services) or as a single software or software module. The present invention is not particularly limited herein.

The server 105 may be a server providing various services, such as a background server providing support for the terminal devices 101, 102, 103. The background server can analyze and process the received data such as the volume and the weight of the goods to be boxed, and feed back the processing result (such as an optimal boxing mode) to the terminal equipment.

It should be noted that, the method for boxing the cargo provided in the embodiments of the present disclosure may be performed by the server 105 or the terminal devices 101, 102, 103, and accordingly, the boxing device of the cargo may be provided in the server 105 or the terminal devices 101, 102, 103.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to fig. 2, a flow 200 of one embodiment of a method of boxing cargo in accordance with the present disclosure is shown. The cargo boxing method comprises the following steps:

In step 201, the volume and weight of the cargo to be boxed is acquired.

In this embodiment, an execution body (e.g., a server or a terminal device shown in fig. 1) on which the cargo boxing method operates can acquire the volume and weight of the cargo to be boxed. For example, there are 10 cargoes to be packed in total, and the executing body can obtain the volume and weight of the 10 cargoes.

The manner of acquisition may be varied. For example, the executing body may directly acquire the acquired volume and weight from the present device or other electronic devices. Or the executing body can collect the volume and the weight of the goods in real time.

Step 202, determining the bubble weight ratio of the cargo according to the volume and the weight.

In this embodiment, the bubble weight ratio refers to the ratio of cargo volume to weight. The executing body can determine the bubble weight ratio of the goods according to the volume and the weight in various ways. For example, the executing body may directly determine the ratio of the volume to the weight of the cargo, and determine the ratio as the bubble weight ratio. Alternatively, the executing body may input the volume and the weight into a predetermined model (such as a deep neural network) and obtain the bubble weight ratio of the cargo outputted from the predetermined model. The pre-set model may employ the volume and weight of the cargo to determine the bubble weight ratio of the cargo.

And 203, determining each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of the cargoes to be boxed.

In this embodiment, the executing body may determine each candidate boxing mode corresponding to each different boxing type according to the bubble weight ratio of the goods to be boxed. Each bin type may correspond to at least one candidate bin packing style.

The execution main body can determine each candidate boxing mode corresponding to different boxing types according to the bubble weight ratio of the cargoes to be boxed in various modes. For example, the execution subject may input the bubble weight ratio to a specified model (e.g., a deep neural network) and obtain each candidate binning mode output from the specified model. The specified model may employ bubble weight ratios to determine candidate boxing modes.

For example, the packing type is to determine the arrangement mode of each cargo in the container according to the length and width of the cargo as the bottom surface. If there are a total of 2 cargo items, the bubble weight ratio of cargo item A, B is less than B, then B is taken as the first cargo item to be placed in the bottom layer of the cargo box. The initial vertex of placement is fixed. The placement rules are that the goods are placed from the bottom layer by taking the length and the width of the goods as the bottom surface, and the goods are placed layer by layer upwards. And (3) arranging the A and the B in parallel, wherein two candidate boxing modes exist in total.

The execution body can place the goods with smaller bubble weight in the lower layer, so that the sum of the bubble weight ratios of the goods in the lower layer is not larger than the sum of the bubble weight ratios of the goods in the upper layer for any two layers of goods in the boxing mode. In some cases, for any two layers of cargo in a box filling manner, the bubble weight ratio of the cargo in the next layer is not greater than the bubble weight ratio of the cargo in the previous layer.

Goods with similar bubble weight ratios (the difference between the bubble weight ratios is smaller than a specified threshold) can be used as adjacent goods (adjacent goods or at most one goods at intervals) when placed. And determining a candidate boxing mode according to the bubble weight ratio, wherein the difference of the bubble weight ratios of adjacent cargoes in the boxing mode is smaller than the average value of the difference of the bubble weight ratios among the cargoes. Or the difference between the bubble weight ratios of adjacent cargoes in the boxing mode is smaller than the difference between the maximum bubble weight ratios of the cargoes.

And 204, selecting an optimal boxing mode from all the candidate boxing modes according to a preset boxing effect evaluation rule.

In this embodiment, the executing body may evaluate the boxing effect of each candidate boxing mode through a preset boxing effect evaluation rule, and find an optimal boxing mode with an optimal boxing effect from the boxing effect evaluation rule.

For example, the boxing effect evaluation rule is that the lower the height of the top surface of the packaged goods corresponding to the candidate boxing method is, the better the boxing effect of the candidate boxing method is. The execution subject may set the candidate box packing method having the lowest height at the highest point of the top surface of the packed goods, as the optimal box packing method, among the candidate box packing methods.

The method provided by the embodiment of the disclosure can place goods with low bubble weight ratio on the lower layer, so that the problem that a weight (such as a dumbbell) crushes the lower layer box body is avoided. And the execution main body can accurately determine the boxing mode with the optimal boxing effect through the boxing effect of each candidate boxing mode.

With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the cargo boxing method according to the present embodiment. In the application scenario of fig. 3, the executing body 301 acquires the volumes and weights 302 of 3 cargoes to be boxed. The executing body 301 determines the bubble weight ratio 303 of the cargo from the volume and weight 302. The execution main body 301 determines each candidate boxing mode 304, namely 9 candidate boxing modes, corresponding to at least one boxing type respectively according to the bubble weight ratio 303 of each cargo to be boxed, wherein the sum of the bubble weight ratios of cargoes in the next layer is not greater than the sum of the bubble weight ratios of cargoes in the last layer for any two layers of cargoes in the boxing modes. The execution body 301 selects an optimal packing method 305 from among the candidate packing methods 304 by a preset packing effect evaluation rule.

With further reference to fig. 4a, a flow 400 of yet another embodiment of a method of boxing cargo is shown. The process 400 includes the steps of:

in step 401, the volume and weight of the cargo to be boxed is acquired.

Step 402, determining the bubble weight ratio of the cargo based on the volume and weight.

And step 403, sorting the cargoes to be boxed according to the bubble weight ratio.

In this embodiment, the execution body (e.g., the server or the terminal device shown in fig. 1) on which the method of boxing the goods operates may arrange the respective goods to be boxed in order of the size of the bubble weight ratio. Specifically, the executing body can order the cargoes by ordering the identifications of the cargoes. The execution bodies may order the cargoes in order of bubble weight ratio from large to small or in order of bubble weight ratio from small to large.

Step 404, determining the initial arrangement sequence of cargoes from the bottom layer to the top according to the order of the bubble weight ratio of cargoes from small to large in the ordering result.

In this embodiment, the executing body may determine an initial sorting order of the goods placed from the bottom layer upwards according to an order of a smaller bubble weight ratio of the goods in the sorting result. The initial queuing order is merely a queue-type order that does not involve actual placement in the container. The execution body can determine the initial sorting order of the cargoes from the bottom layer to the top according to the order of the cargoes from the small bubble weight ratio to the large bubble weight ratio in the arrangement result in various modes. For example, the order of the bubble weight ratio of the cargoes in the arrangement result from small to large is directly used as the initial ordering order of the cargoes from the bottom layer to the top. Or the execution main body can input the order of the bubble weight ratio of the cargoes in the ordering result from small to large into the appointed model, and obtain the initial ordering order of the output of the appointed model. The appointed model can adopt the order of the bubble weight ratio of the goods from small to large to determine the initial arrangement order of the goods from the bottom layer upwards.

And step 405, determining each candidate boxing mode corresponding to at least one boxing type according to the initial arrangement sequence.

In this embodiment, the execution body may determine, according to the initial arrangement sequence, each candidate boxing mode corresponding to the different boxing types in various modes. For example, the execution bodies may be placed from the bottom layer upwards according to the initial arrangement order.

For example, the box packing type includes a bottom surface according to the length and width of the goods. There are 10 cargoes in the initial arrangement sequence, and the sequence of the sequencing results is from small to large, namely the cargoes are marked as 1,2,3, 4, 5, 6, 7, 8, 9 and 10 in sequence. The initial alignment is also 1,2,3, 4, 5, 6, 7, 8, 9, 10. And when the box is finally packed, three cargo layers are obtained, wherein the bottom layers are cargos 1,2 and 3, the second layers are cargos 4, 5, 6 and 7, and the third layers are cargos 8, 9 and 10. Each cargo is a bottom surface in terms of length and width, and therefore, there is this alternative way of boxing.

By way of another example, the box packing type includes two types of a bottom surface according to the length and width of the goods and a bottom surface according to the length and height of the goods. If there are a total of 3 shipments A, B, C, the initial ordering order is A, C, B. Then A is placed according to the length and width of the goods and the length and height of the goods. Thus, there may be two candidate ways of packing corresponding to the two types of packing.

And 406, selecting an optimal boxing mode from all the candidate boxing modes according to a preset boxing effect evaluation rule.

According to the embodiment, cargoes can be placed according to the order of the bubble weight ratio, so that the problem of crushing a lower container can be effectively avoided.

Optionally, the bin types may include at least one of: the goods are placed according to the length and width of the goods as the bottom surface, the height of the goods as the bottom surface and the width and height of the goods as the bottom surface.

In practice, the execution body may preferably select a packing method having a low center of gravity among the candidate packing methods corresponding to the respective packing types, thereby ensuring stability of the cargo during transportation.

In some optional implementations of any of the embodiments of the disclosure, the boxing effect evaluation rule includes a layer number determination; selecting an optimal boxing mode from all candidate boxing modes according to a preset boxing effect evaluation rule, wherein the method comprises the following steps of: determining the number of cargo layers of a candidate boxing mode; and selecting an optimal boxing mode from the candidate boxing modes according to the number of the cargo layers, wherein the smaller the number of the cargo layers of the candidate boxing modes is, the higher the first selection priority of the candidate boxing mode is, and the comparison step or the selection step is selected.

In these alternative implementations, the executing entity may first determine the number of cargo layers for each of the candidate boxes if the box filling effect evaluation rule includes a layer number determination.

The execution body may then select an optimal packing method among the candidate packing methods according to the number of cargo layers in various ways. For example, because the smaller the number of layers of cargo in a candidate bin, the higher the first selection priority for that candidate bin. The execution subject may directly use, as the optimal boxing method, a boxing candidate having the highest priority, that is, a boxing candidate having the smallest number of layers of goods, from among the boxing candidates. Or the execution body can input the number of cargo layers into a preset model and obtain an optimal packing mode output from the model. The first candidate priority refers to a priority generated by the number of cargo layers.

The comparison step is to sequentially calculate each candidate boxing mode. If two candidate bin sets have been found, the optimal bin set is compared therein. And then, comparing the candidate boxing mode with the existing optimal boxing mode every time a candidate boxing mode is newly obtained, and obtaining a new optimal boxing mode.

The selecting step is to obtain all candidate boxing modes first, and select an optimal boxing mode from all candidate boxing modes.

In these implementations, if the number of cargo layers is small, the cargo placement is more compact and is more conducive to transportation. These implementations can quickly improve the effectiveness of the boxing by detecting the number of layers of the cargo after boxing to determine the boxing mode.

In some optional implementations of any of the embodiments of the disclosure, the boxing effect evaluation rules include a loading rate determination; selecting an optimal boxing mode from all candidate boxing modes according to a preset boxing effect evaluation rule, wherein the method comprises the following steps of: determining the loading rate of each layer of goods in the candidate boxing mode; and selecting an optimal boxing mode from the candidate boxing modes according to the loading rates of the target layers in the layers, wherein the larger the loading rate of the target layer of the candidate boxing mode is, the higher the second selection priority of the candidate boxing mode is, and selecting to adopt a comparison step or a selection step.

In these alternative implementations, the executing entity may determine the loading rates of the various layers of cargo in the candidate boxing mode. In particular, the loading rate refers to the ratio of the bottom area (or top area) of any layer of cargo to the bottom area of the shipping container being loaded (which may be the inner bottom area of the container, and in some cases the outsole area).

The target layer may be any layer, such as an underlayer. The execution body may adopt various modes, and an optimal packing mode is selected from the candidate packing modes according to the loading rate of the target layer in each layer. For example, the execution body may directly determine the candidate packing method with the highest target layer loading rate as the optimal packing method. Or the execution body may input the identification of each candidate boxing style and the loading rate into a preset model, and obtain the identification of the optimal boxing style output from the model.

In the implementation modes, the loading rate directly indicating the loading effect can be used as the effect parameter of the boxing mode, and the optimal boxing mode can be rapidly and accurately determined from the boxing effect.

In some optional implementations of any of the embodiments of the present disclosure, the bin effect evaluation rules include a layer number determination and a loading rate determination; selecting an optimal boxing mode from all candidate boxing modes according to a preset boxing effect evaluation rule, wherein the method comprises the following steps of: in response to each acquisition of a candidate boxing style, performing the following comparison steps for the candidate boxing style and the currently optimal boxing style of the previously acquired candidate boxing styles: determining a candidate boxing mode with smaller cargo layer number as a first candidate boxing mode in the candidate boxing mode and the current optimal boxing mode; determining a candidate boxing mode with larger loading rate of the target layer from the candidate boxing mode and the current optimal boxing mode as a second candidate boxing mode; and determining an optimal boxing mode according to the first candidate boxing mode and the second candidate boxing mode.

In practice, if a candidate bin packing method is acquired, for that candidate bin packing method, if there is no previously acquired candidate bin packing method, i.e., only the candidate bin packing method is currently acquired. The candidate boxing mode is a candidate boxing mode obtained for the first time of cargoes to be boxed, and the current optimal boxing mode in the previously obtained candidate boxing modes does not exist, so that the candidate boxing mode needs to be continuously obtained. If there is a previously acquired candidate boxing style, if there is only one previously acquired candidate boxing style, then the current optimal boxing style is the previously acquired candidate boxing style. The acquisition may be performed in real time or sequentially from each candidate bin approach that has been previously calculated. The two packing modes compared in the comparison step are the candidate packing mode and the current optimal packing mode.

The execution subject may adopt various modes, and determine the optimal boxing mode from the candidate boxing mode and the current optimal boxing mode according to the first candidate boxing mode and the second candidate boxing mode. For example, when the first candidate box filling method and the second candidate box filling method are identical, the execution subject may set the first candidate box filling method, that is, the second candidate box filling method, as the optimal box filling method. And the execution subject may subtract the loading rate of the candidate box filling mode with the larger loading rate from the loading rate of the candidate box filling mode with the smaller loading rate to obtain the loading rate difference when the first candidate box filling mode and the second candidate box filling mode are not consistent. Comparing the loading rate difference value with a preset loading rate difference value threshold value, and if the loading rate difference value reaches the preset loading rate difference value threshold value, taking the candidate boxing mode with larger loading rate as the optimal boxing mode. If the load rate difference does not reach the preset load rate difference threshold, the candidate boxing mode with smaller load rate can be used as the optimal boxing mode. Or the execution main body can input the loading rate and the number of cargo layers corresponding to the candidate boxing mode and the current optimal boxing mode into a preset model, and obtain the optimal boxing mode output from the model.

The realization modes can utilize the layer number and the device rate obtained by boxing to more comprehensively and accurately determine the optimal boxing mode from the boxing effect.

Optionally, the step of determining the target layer for the two candidate binning modes compared by the step of comparing includes: determining the lowest layer from the layers to be processed in the two candidate boxing modes as a candidate layer, and determining the loading rate of the candidate layers in the two candidate boxing modes, wherein the layers to be processed refer to cargo layers which are not determined as the candidate layers; if the difference between the first loading rate of the candidate layer in the first candidate boxing mode and the second loading rate of the candidate layer in the second candidate boxing mode reaches a preset difference threshold, the candidate layer is taken as a target layer; if the difference between the first loading rate of the candidate layer in the first candidate boxing mode and the second loading rate of the candidate layer in the second candidate boxing mode does not reach the preset difference threshold, executing any one of the following steps: the upper layer of the candidate layer is taken as a target layer, or the upper layer of the candidate layer is taken as a new candidate layer.

In these alternative implementations, there may be a layer to be processed in each cargo layer of the candidate box packing. The layer to be processed refers to a cargo layer that has not been determined as a candidate layer among the respective cargo layers. For example, the cargo layers of the two candidate boxes a and B have 3 layers and 4 layers, respectively. If the bottom layers of the candidate boxing modes A and B are determined to be candidate layers, the current layer to be processed of A is a second layer and a third layer, and the layer to be processed of B is a second layer, a third layer and a fourth layer. The lowest layer of the layers to be treated is the second layer.

If the load ratio difference (the load ratio difference is a positive number or the absolute value of the load ratio difference) between the load ratio of the candidate layer in one candidate boxing mode and the load ratio of the candidate layer in the other candidate boxing mode reaches a preset difference threshold, that is, the load ratio difference is large enough, the candidate layer is the target layer. If the load rate difference (the load rate difference is a positive number) between the load rate of one candidate layer and the load rate of the other candidate layer in the candidate boxing mode does not reach the preset difference threshold, that is, the load rate difference is smaller, the upper layer of the determined candidate layer is used as a new candidate layer, and the new candidate layer load rate difference between the one candidate boxing mode and the other candidate boxing mode is continuously determined. Until a new candidate layer loading rate difference between one candidate boxing mode and another candidate boxing mode reaches a preset difference threshold value, and thus a target layer is determined. Or the execution subject may directly take the layer above the determined candidate layer as the target layer.

The implementation modes can determine the optimal boxing mode by utilizing the candidate layers under the condition that a certain gap exists between the loading rates of the candidate layers of the two candidate boxing modes, and the judgment of the boxing mode is avoided due to the small gap of the loading rates. Therefore, the judgment standard adopting the boxing rate as the judgment basis is more accurate.

In some optional implementations of any of the embodiments of the present disclosure, determining, according to a bubble weight ratio of each cargo to be boxed, each candidate boxing mode corresponding to at least one boxing type, respectively, includes: according to the bubble weight ratio of each cargo to be boxed, carrying out aligned integration on at least two cargoes to be boxed to obtain integrated cargoes, wherein the distance between the most protruding position and the most recessed position of any surface of the integrated cargoes in the vertical direction of the surface is smaller than a preset threshold value, and the difference of the bubble weight ratios of the integrated cargoes is smaller than a preset difference value threshold value; and determining each candidate boxing mode corresponding to different boxing types by utilizing the integrated cargoes.

In these implementations, various manners may be adopted, and according to the bubble weight ratio of each cargo to be boxed, at least two cargoes to be boxed are aligned and integrated, so as to obtain an integrated cargo. For example, in the sorting result of the bubble weight ratio, the integrated result after searching for the integrated result is expected to be a flush cargo. Flush means that the distance between the most protruding position and the most recessed position of any one of the faces of the integrated goods in the vertical direction of the face is smaller than a preset threshold value. The bubble weight ratios between the mutually integrated goods are similar (the difference between the bubble weight ratios is smaller than a specified threshold). Or the executing body can input the bubble weight ratio of the cargoes to be packaged into the appointed model, and obtain the cargo alignment mode output from the model, so that the alignment mode is utilized for alignment integration. The goods alignment mode refers to placing each goods to the aligned goods placement position relationship information.

The execution body can take the integrated goods as an independent whole, and determine candidate boxing modes of the goods to be boxed, the goods except the integrated goods and the integrated goods.

As shown in fig. 4b, the left side of the figure shows the integrated cargo resulting from the integration of 4 cargoes. The right side of the figure shows the way in which the integrated cargo is placed in the cargo box. After each independent cargo is integrated, the shape of the integrated cargo is tidy, and the integrated cargo is similar to an independent cargo.

Because of the integrated cargo, it is difficult to achieve complete alignment of the individual cargo after integration. In fig. 4B, the top surface is taken as an example, and in the integrated cargo, the top surface is a combination of the top surfaces of the two cargos a and B. The top surface of the goods A is positioned at the most concave position of the top surface of the integrated goods. The top surface of the goods B is positioned at the most protruding position of the top surface of the integrated goods.

These implementations may utilize bubble weight ratios to integrate cargo. Especially under the condition that the loading rate of cargoes in the packing box is lower (lower than a preset loading rate threshold value), the cargoes in the packing box can be integrated to realize the alignment of the cargoes, so that the space in the packing box is saved, and the loading rate of the cargoes after packing is improved.

With further reference to fig. 5, as an implementation of the method shown in the above figures, the present disclosure provides an embodiment of a cargo boxing apparatus, which corresponds to the method embodiment shown in fig. 2, and which may include the same or corresponding features or effects as the method embodiment shown in fig. 2, except for the features described below. The device can be applied to various electronic equipment.

As shown in fig. 5, the cargo boxing apparatus 500 of the present embodiment includes: an acquisition unit 501, a determination unit 502, a candidate unit 503, and a selection unit 504. Wherein the acquiring unit 501 is configured to acquire the volume and the weight of the goods to be boxed; a determining unit 502 configured to determine a bubble weight ratio of the cargo based on the volume and the weight; a candidate unit 503 configured to determine each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of each cargo to be boxed; and a selecting unit 504 configured to select an optimal boxing mode from among the candidate boxing modes according to a preset boxing effect evaluation rule.

In this embodiment, the specific processing and the technical effects of the acquiring unit 501, the determining unit 502, the candidate unit 503 and the selecting unit 504 of the boxing device 500 for goods can be respectively referred to the related descriptions of step 201, step 202, step 203 and step 204 in the corresponding embodiment of fig. 2, and are not repeated here.

In some optional implementations of this embodiment, the candidate unit is further configured to determine each candidate boxing mode corresponding to the at least one boxing type according to a bubble weight ratio of each cargo to be boxed, in the following manner: sorting the cargoes to be boxed according to the bubble weight ratio; determining the initial arrangement sequence of cargoes from the bottom layer to the top according to the sequence of the cargoes from the small bubble weight ratio to the large bubble weight ratio in the ordering result; and determining each candidate boxing mode corresponding to at least one boxing type according to the initial arrangement sequence.

In some optional implementations of the present embodiment, the boxing effect evaluation rule includes a layer number determination; a selection unit further configured to execute the selection of the optimal boxing style among the respective candidate boxing styles by a preset boxing effect evaluation rule as follows: determining the number of cargo layers of a candidate boxing mode; and selecting an optimal boxing mode from the candidate boxing modes according to the number of the cargo layers, wherein the smaller the number of the cargo layers of the candidate boxing modes is, the higher the first selection priority of the candidate boxing mode is, and the comparison step or the selection step is selected.

In some optional implementations of the present embodiment, the boxing effect evaluation rules include a loading rate determination; a selection unit further configured to execute the selection of the optimal boxing style among the respective candidate boxing styles by a preset boxing effect evaluation rule as follows: determining the loading rate of each layer of goods in the candidate boxing mode; and selecting an optimal boxing mode from the candidate boxing modes according to the loading rates of the target layers in the layers, wherein the larger the loading rate of the target layer of the candidate boxing mode is, the higher the second selection priority of the candidate boxing mode is, and selecting to adopt a comparison step or a selection step.

In some optional implementations of the present embodiment, the boxing effect evaluation rules include layer number determination and loading rate determination; a selection unit further configured to execute the selection of the optimal boxing style among the respective candidate boxing styles by a preset boxing effect evaluation rule as follows: in response to each acquisition of a candidate boxing style, performing the following comparison steps for the candidate boxing style and the currently optimal boxing style of the previously acquired candidate boxing styles: determining a candidate boxing mode with smaller cargo layer number as a first candidate boxing mode in the candidate boxing mode and the current optimal boxing mode; determining a candidate boxing mode with larger loading rate of the target layer from the candidate boxing mode and the current optimal boxing mode as a second candidate boxing mode; and determining an optimal boxing mode according to the first candidate boxing mode and the second candidate boxing mode.

In some alternative implementations of this embodiment, the step of determining the target layer for the two candidate binning modes compared by the step of comparing includes: determining the lowest layer from the layers to be processed in the two candidate boxing modes as a candidate layer, and determining the loading rate of the candidate layers in the two candidate boxing modes, wherein the layers to be processed refer to cargo layers which are not determined as the candidate layers; if the difference value of the loading rates of the candidate layers in the first candidate boxing mode and the second candidate boxing mode reaches a preset difference value threshold, the candidate layer is taken as a target layer; if the difference between the loading rate of the candidate layer in the first candidate boxing mode and the loading rate of the candidate layer in the second candidate boxing mode does not reach the preset difference threshold, executing any one of the following steps: the upper layer of the candidate layer is taken as a target layer, or the upper layer of the candidate layer is taken as a new candidate layer.

In some optional implementations of this embodiment, the candidate unit is further configured to determine each candidate boxing mode corresponding to the at least one boxing type according to a bubble weight ratio of each cargo to be boxed, in the following manner: according to the bubble weight ratio of each cargo to be boxed, carrying out aligned integration on at least two cargoes to be boxed to obtain integrated cargoes, wherein the distance between the most protruding position and the most recessed position of any surface of the integrated cargoes in the vertical direction of the surface is smaller than a preset threshold value, and the difference of the bubble weight ratios of the integrated cargoes is smaller than a preset difference value threshold value; and determining each candidate boxing mode corresponding to different boxing types by utilizing the integrated cargoes.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

Fig. 6 illustrates a schematic block diagram of an example electronic device 600 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 6, the apparatus 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM 602, and RAM 603 are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Various components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as a method of boxing goods. For example, in some embodiments, the method of packaging goods may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the method of boxing goods as described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the method of boxing the cargo in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (10)

1. A method of boxing cargo, the method comprising:

Acquiring the volume and the weight of goods to be boxed;

Determining a bubble-to-weight ratio of the cargo based on the volume and weight;

Determining each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of the cargoes to be boxed;

And selecting an optimal boxing mode from the candidate boxing modes according to a preset boxing effect evaluation rule.

2. The method of claim 1, wherein the determining each candidate boxing style corresponding to the at least one boxing type according to the bubble weight ratio of the cargoes to be boxed comprises:

Sorting the cargoes to be boxed according to the bubble weight ratio;

Determining the initial arrangement sequence of cargoes from the bottom layer to the top according to the sequence of the cargoes from the small bubble weight ratio to the large bubble weight ratio in the ordering result;

and determining each candidate boxing mode corresponding to at least one boxing type according to the initial arrangement sequence.

3. The method of claim 1, wherein the bin effect evaluation rules include a layer number determination;

and selecting an optimal boxing mode from the candidate boxing modes according to a preset boxing effect evaluation rule, wherein the method comprises the following steps of:

determining the number of cargo layers of the candidate boxing mode;

And selecting an optimal boxing mode from the candidate boxing modes according to the number of the cargo layers, wherein the smaller the number of the cargo layers of the candidate boxing modes is, the higher the first selection priority of the candidate boxing mode is, and the selection adopts a comparison step or a selection step.

4. The method of claim 1, wherein the boxing effect evaluation rule comprises a loading rate determination;

and selecting an optimal boxing mode from the candidate boxing modes according to a preset boxing effect evaluation rule, wherein the method comprises the following steps of:

determining the loading rate of each layer of goods in the candidate boxing mode;

And selecting an optimal boxing mode from the candidate boxing modes according to the loading rates of the target layers in each layer, wherein the larger the loading rate of the target layer of the candidate boxing mode is, the higher the second selection priority of the candidate boxing mode is, and the selection adopts a comparison step or a selection step.

5. The method of claim 1, wherein the bin effect evaluation rules include a tier number determination and a loading rate determination;

and selecting an optimal boxing mode from the candidate boxing modes according to a preset boxing effect evaluation rule, wherein the method comprises the following steps of:

in response to each acquisition of a candidate boxing style, performing the following comparison steps for the candidate boxing style and the currently optimal boxing style of the previously acquired candidate boxing styles:

Determining a candidate boxing mode with smaller number of cargo layers as a first candidate boxing mode in the candidate boxing mode and the current optimal boxing mode;

determining a candidate boxing mode with larger loading rate of the target layer as a second candidate boxing mode in the candidate boxing mode and the current optimal boxing mode;

And determining an optimal boxing mode according to the first candidate boxing mode and the second candidate boxing mode.

6. The method of claim 4 or 5, wherein the step of determining the target layer for the two candidate binning modes compared by the step of comparing comprises:

Determining the lowest layer from the layers to be processed in the two candidate boxing modes as a candidate layer, and determining the loading rate of the candidate layers in the two candidate boxing modes, wherein the layers to be processed refer to cargo layers which are not determined as candidate layers;

If the difference value of the loading rates of the candidate layers in the first candidate boxing mode and the second candidate boxing mode reaches a preset difference value threshold, the candidate layer is used as a target layer;

if the difference between the loading rate of the candidate layer in the first candidate boxing mode and the loading rate of the candidate layer in the second candidate boxing mode does not reach the preset difference threshold, executing any one of the following steps: and taking the upper layer of the candidate layer as a target layer or taking the upper layer of the candidate layer as a new candidate layer.

7. The method of claim 1, wherein the determining each candidate boxing style corresponding to the at least one boxing type according to the bubble weight ratio of the cargoes to be boxed comprises:

according to the bubble weight ratio of each cargo to be boxed, carrying out aligned integration on at least two cargoes to be boxed to obtain integrated cargoes, wherein the distance between the most protruding position and the most recessed position of any surface of the integrated cargoes in the vertical direction of the surface is smaller than a preset threshold value, and the difference of the bubble weight ratios of the integrated cargoes is smaller than a preset difference value threshold value;

And determining each candidate boxing mode corresponding to different boxing types by utilizing the integrated cargoes.

8. A cargo boxing apparatus, the apparatus comprising:

An acquisition unit configured to acquire a volume and a weight of a cargo to be boxed;

a determining unit configured to determine a bubble weight ratio of the cargo from the volume and the weight;

The candidate unit is configured to determine each candidate boxing mode corresponding to at least one boxing type according to the bubble weight ratio of each cargo to be boxed;

And the selecting unit is configured to select the optimal boxing mode from the candidate boxing modes according to a preset boxing effect evaluation rule.

9. An electronic device, comprising:

At least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.