CN113298628B - Intelligent container placement method and device, electronic equipment and computer readable medium - Google Patents
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Abstract
The embodiment of the disclosure discloses an intelligent container placing method, an intelligent container placing device, electronic equipment and a computer readable medium. One embodiment of the method comprises: identifying at least one hot spot path in each path included in the target area; acquiring container information of each intelligent container in a target area to obtain a container information group; acquiring an order information set corresponding to a target area within a preset time period; according to each item acquisition quantity group included in the order information set, performing association processing on at least one item name meeting preset conditions in each item name group included in the order information set to obtain an associated item name group; and controlling each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated article name group and the related information of each article contained in the container information group. This embodiment has promoted the circulation efficiency of article, has reduced the backlog of part article in the intelligent packing cupboard, has reduced the loss of article.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to an intelligent container placement method, an intelligent container placement device, electronic equipment and a computer readable medium.
Background
With the development of internet technology and the arrival of the e-commerce era, various front-end warehouses are appearing on the market to present articles to users. The user may access the front compartment at close range to access the item. At present, the placement positions of the intelligent containers in the front warehouse are usually fixed according to preset positions.
However, when the above-described manner is adopted, there are generally the following technical problems:
firstly, the placement position of the intelligent container cannot be dynamically adjusted, and a user cannot quickly acquire hot objects (fast-moving objects), so that the overstocking of parts of the objects in part of the intelligent container (the intelligent container for placing the fast-moving objects) is caused, and the loss of the objects is caused;
and secondly, the intelligent containers are not collocated and placed, so that the overstocked articles in partial intelligent containers are too much, and unnecessary loss of the articles is caused.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose intelligent container placing methods, apparatuses, electronic devices and computer readable media to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide an intelligent container placing method, including: identifying at least one hot spot path in each path included in a target area according to a video of the corresponding target area shot by an infrared camera in a preset time period; obtaining container information of each intelligent container in the target area to obtain a container information group, wherein the container information comprises: container number, container location and article-related information, the article-related information comprising: item name and item traffic; acquiring an order information set corresponding to the target area within the preset time period, wherein the order information in the order information set comprises an article name group and an article acquisition amount group, and the article name in the article name group corresponds to the article acquisition amount in the article acquisition amount group; according to each item acquisition quantity group included in the order information set, performing association processing on at least one item name meeting preset conditions in each item name group included in the order information set to obtain an associated item name group; and controlling each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated article name group and the related information of each article in the container information group.
In a second aspect, some embodiments of the present disclosure provide an intelligent container arrangement apparatus, the apparatus including: the identification unit is configured to identify at least one hot spot path in paths included in a target area according to a video of the corresponding target area shot by an infrared camera within a preset time period; a first obtaining unit configured to obtain container information of each intelligent container in the target area to obtain a container information group, wherein the container information includes: container number, container location and article-related information, the article-related information comprising: item name and item traffic; a second obtaining unit, configured to obtain an order information set corresponding to the target area within the preset time period, where the order information in the order information set includes an item name group and an item acquisition amount group, and an item name in the item name group corresponds to an item acquisition amount in the item acquisition amount group; the association unit is configured to associate at least one item name meeting a preset condition in each item name group included in the order information set according to each item acquisition quantity group included in the order information set to obtain an associated item name group; and the control unit is configured to control each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated item name group and each item related information included in the container information group.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: according to the intelligent container placing method disclosed by some embodiments, the placing position of the intelligent container can be dynamically adjusted, so that the placing of the intelligent container can be fitted to the requirements of a user, the user can conveniently and quickly obtain hot objects, the circulation efficiency of the objects is improved, the overstock of partial objects in the intelligent container is reduced, and the loss of the objects is reduced. Specifically, the loss of the article is caused by: the placement position of the intelligent container cannot be dynamically adjusted, and a user cannot quickly acquire hot objects (fast-disappearing objects), so that the overstock of partial objects in partial intelligent containers is caused, and the loss of the objects is caused. Based on this, according to the intelligent container placement method of some embodiments of the present disclosure, first, at least one hot spot route in each route included in the target area is identified according to a video of the corresponding target area shot by the infrared camera within a preset time period. Therefore, the path that the user in the target area frequently moves can be identified, and the intelligent container corresponding to the hot spot path can be conveniently placed again in the follow-up process. And secondly, acquiring the container information of each intelligent container in the target area to obtain a container information group. And then, acquiring an order information set corresponding to the target area in the preset time period. Therefore, data support can be provided for placing the hot spot intelligent container subsequently according to the order information set in the preset time period. And then, according to each item acquisition quantity group included in the order information set, performing association processing on at least one item name meeting preset conditions in each item name group included in the order information set to obtain an associated item name group. Therefore, the intelligent container is convenient to arrange and put in a follow-up mode. And finally, controlling each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated article name group and the related information of each article contained in the container information group. From this, can the putting position of dynamic adjustment intelligence packing cupboard for putting of intelligence packing cupboard can laminate in user's demand, and the user of being convenient for acquires hot article fast. Therefore, the circulation efficiency of the articles is improved, the overstock of the articles in the intelligent container is reduced, and the loss of the articles is reduced.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of an intelligent container placement method according to some embodiments of the present disclosure;
FIG. 2 is a flow chart of some embodiments of an intelligent container placement method according to the present disclosure;
FIG. 3 is a flow chart of further embodiments of intelligent container placement methods according to the present disclosure;
FIG. 4 is a schematic structural view of some embodiments of an intelligent container holding apparatus according to the present disclosure;
FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of an intelligent container placing method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 identifies at least one hotspot path 103 in each path included in the target area 102 according to a video of the corresponding target area captured by the infrared camera within a preset time period. Secondly, the computing device 101 may obtain the container information of each intelligent container in the target area 102, resulting in the container information group 104. Wherein, above-mentioned packing cupboard information includes: container number, container location and item related information. The item-related information includes: item name and item traffic. Next, the computing device 101 may obtain the order information set 105 corresponding to the target area 102 within the preset time period. The order information in the order information set 105 includes an item name group and an item acquisition amount group. The item name in the item name group corresponds to the item acquisition amount in the item acquisition amount group. Then, the computing device 101 may perform association processing on at least one item name meeting a preset condition in each item name group included in the order information set 105 according to each item acquisition amount group included in the order information set 105, so as to obtain an associated item name group 106. Finally, the computing device 101 may control each intelligent container 107 to move and place in the target area according to the at least one hot spot path 103, the intelligent container corresponding to the associated item name group 106, and the related information of each item included in the container information group 104.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to FIG. 2, a flow 200 of some embodiments of an intelligent container placement method according to the present disclosure is shown. The intelligent container placing method comprises the following steps:
In some embodiments, an executing agent (e.g., the computing device 101 shown in fig. 1) of the intelligent container placement method may identify at least one hot spot path of paths included in a target area through a video of the corresponding target area, which is set in the target area and captured by an infrared camera in communication connection with the executing agent within a preset time period. Here, the target area may refer to a square area for intelligent container placement. Here, the intelligent container may refer to a container having a moving function. Here, the hot spot path in the at least one hot spot path may refer to a path, of which the activity degree of the user is greater than a preset threshold, among paths included in the target area. Here, the setting of the preset threshold is not limited. Here, the activity level of the user may refer to the number of persons the user has traveled through a certain path.
In some embodiments, the executing entity may obtain the container information of each intelligent container in the target area from the terminal device in a wired connection manner or a wireless connection manner, so as to obtain the container information group. Wherein, above-mentioned packing cupboard information includes: container number, container location and article-related information, the article-related information comprising: item name and item traffic. Here, the commodity circulation amount may refer to the total amount of commodities obtained by the intelligent container in the preset time period (for example, the commodity circulation amount may refer to sales amount, and the unit may be kilogram).
As an example, the container information set may be:
[ Container numbering: a container; container position: position 1; item-related information: (article name: Duobao fish; article runoff: 165) ];
[ Container numbering: b, a container; container position: position 2; item-related information: (item name: crab; item runoff: 75) ];
[ Container numbering: c, a container; container position: position 3; item-related information: (article name: lobster; article runoff: 125) ];
[ Container numbering: d a container; container position: position 4; item-related information: (article name: sea tangle; article runoff: 60) ].
In some embodiments, the executing entity may obtain, from the terminal device, the order information set corresponding to the target area within the preset time period in a wired connection manner or a wireless connection manner. The order information in the order information set comprises an article name group and an article acquisition amount group. The item name in the item name group corresponds to the item acquisition amount in the item acquisition amount group. In practice, the order information in the order information set may refer to the related information of the items acquired (purchased) by the same user from the intelligent containers in the target area within the preset time period. Here, the setting of the preset time period is not limited.
As an example, the order information set may be:
{ [ item name: turbot; article acquisition amount: 45 ]; [ name of article: kelp; article acquisition amount: 45 ]; [ name of article: a lobster; article acquisition amount: 30] };
{ [ item name: turbot; article acquisition amount: 55 ]; [ name of article: a crab; article acquisition amount: 65 ]; [ name of article: a lobster; article acquisition amount: 25] };
{ [ item name: turbot; article acquisition amount: 65 ]; [ name of article: a crab; article acquisition amount: 10 ]; [ name of article: a lobster; article acquisition amount: 70 ]; [ name of article: kelp; article acquisition amount: 15]}.
And 204, associating at least one item name meeting preset conditions in each item name group included in the order information set according to each item acquisition quantity group included in the order information set to obtain an associated item name group.
In some embodiments, according to each item acquisition amount group included in the order information set, the execution subject may perform association processing on at least one item name meeting a preset condition in each item name group included in the order information set by:
firstly, carrying out duplication elimination processing on each item name included in the order information set to obtain a duplication elimination item name group.
And secondly, determining the total item acquisition amount of each weight-removed item name in the weight-removed item name group according to each item acquisition amount group included in the order information set to obtain an item acquisition amount group. In practice, for each of the set of the heavies names, the execution main body may determine a total sum of the item acquisition amounts corresponding to the item names having the same heavies name in the order information set as the item acquisition total amount of the heavies name.
And thirdly, selecting corresponding articles from the weight removing article name group to obtain a weight removing article name with the total weight meeting the preset condition as a target article name, and obtaining a target article name group. Here, the preset condition may be "the total quantity of acquired items is equal to or greater than a preset acquisition quantity".
And fourthly, determining the target article name of which the total article acquisition amount corresponding to the target article name group is greater than or equal to a preset threshold value as the first target article name to obtain a first target article name group.
And fifthly, determining the target article name of which the total article acquisition amount corresponding to the target article name group is smaller than a preset threshold value as a second target article name, and obtaining a second target article name group.
And sixthly, associating each first target item name in the first target item name group. For example, each first target item name may be "turbot, lobster". And (3) performing association processing on each first target object name 'turbot and lobster' to obtain an associated object name 'turbot-lobster'.
And seventhly, associating the second target item names in the second target item name group.
In some embodiments, first, the execution body may obtain an article circulation total amount group from an article circulation total amount of each article name corresponding to each associated article name in the associated article name group. Secondly, the names of the associated articles in the associated article name group can be sorted from large to small according to the numerical value of the total article circulation in the article circulation total group, so as to obtain the name sequence of the associated articles. And then, determining each intelligent container corresponding to each associated article name in the associated article name sequence as a hot intelligent container group to obtain a hot intelligent container group sequence. Then, each preset container position adjacent to each hot spot path in the at least one hot spot path can be determined as a hot spot container position, so as to obtain a hot spot container position set. Then, each hot spot intelligent container included in each hot spot intelligent container group in the hot spot intelligent container group sequence can be sequentially placed in the hot spot container position set. And finally, the position arrangement of the at least one intelligent container in each intelligent container, from which the hot spot intelligent container group sequence is removed, in the target area can be controlled.
The above embodiments of the present disclosure have the following advantages: according to the intelligent container placing method disclosed by some embodiments, the placing position of the intelligent container can be dynamically adjusted, so that the placing of the intelligent container can be fitted to the requirements of a user, the user can conveniently and quickly obtain hot objects, the circulation efficiency of the objects is improved, the overstock of partial objects in the intelligent container is reduced, and the loss of the objects is reduced. Specifically, the loss of the article is caused by: the placement position of the intelligent container cannot be dynamically adjusted, and a user cannot quickly acquire hot objects (fast-disappearing objects), so that the overstock of partial objects in partial intelligent containers is caused, and the loss of the objects is caused. Based on this, according to the intelligent container placement method of some embodiments of the present disclosure, first, at least one hot spot route in each route included in the target area is identified according to a video of the corresponding target area shot by the infrared camera within a preset time period. Therefore, the path that the user in the target area frequently moves can be identified, and the intelligent container corresponding to the hot spot path can be conveniently placed again in the follow-up process. And secondly, acquiring the container information of each intelligent container in the target area to obtain a container information group. And then, acquiring an order information set corresponding to the target area in the preset time period. Therefore, data support can be provided for placing the hot spot intelligent container subsequently according to the order information set in the preset time period. And then, according to each item acquisition quantity group included in the order information set, performing association processing on at least one item name meeting preset conditions in each item name group included in the order information set to obtain an associated item name group. Therefore, the intelligent container is convenient to arrange and put in a follow-up mode. And finally, controlling each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated article name group and the related information of each article contained in the container information group. From this, can the putting position of dynamic adjustment intelligence packing cupboard for putting of intelligence packing cupboard can laminate in user's demand, and the user of being convenient for acquires hot article fast. Therefore, the circulation efficiency of the articles is improved, the overstock of the articles in the intelligent container is reduced, and the loss of the articles is reduced.
With further reference to FIG. 3, a flow 300 of further embodiments of intelligent container placement methods according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The intelligent container placing method comprises the following steps:
In some embodiments, the specific implementation manner and technical effects of steps 301 and 303 can refer to steps 201 and 203 in the embodiments corresponding to fig. 2, which are not described herein again.
And 304, associating at least one item name meeting preset conditions in each item name group included in the order information set according to each item acquisition amount group included in the order information set to obtain an associated item name group.
In some embodiments, the executing agent may perform association processing on at least one item name meeting a preset condition in each item name group included in the order information set according to each item acquisition amount group included in the order information set by:
firstly, carrying out duplication elimination processing on each item name included in the order information set to obtain a duplication elimination item name group.
And secondly, determining the total item acquisition amount of each weight-removed item name in the weight-removed item name group according to each item acquisition amount group included in the order information set to obtain an item acquisition amount group. In practice, for each of the set of the heavies names, the execution main body may determine a total sum of the item acquisition amounts corresponding to the item names having the same heavies name in the order information set as the item acquisition total amount of the heavies name.
And thirdly, selecting corresponding articles from the weight removing article name group to obtain a weight removing article name with the total weight meeting the preset condition as a target article name, and obtaining a target article name group. Here, the preset condition may be "the total quantity of acquired items is equal to or greater than a preset acquisition quantity".
And fourthly, determining the frequency of each target article name in the target article name group in the order information set to obtain a frequency group.
And fifthly, according to the frequency group, performing descending sorting on the names of the target articles in the name group of the target articles to obtain a name sequence of the target articles. In practice, the execution body may sort the names of the target objects in the name group of the target objects in a descending order according to a descending order of the frequency values in the frequency group, so as to obtain a name sequence of the target objects.
And sixthly, performing association processing on the two target object names in response to the fact that the frequency difference corresponding to every two target object names in the target object name sequence is smaller than or equal to a preset difference value.
In some embodiments, the executing body may determine, according to each container position of each intelligent container in the target area, each intelligent container corresponding to each hot spot path in the at least one hot spot path as a first hot spot intelligent container, to obtain a first hot spot intelligent container group. In practice, the intelligent container corresponding to each container position adjacent to each hot spot path in the at least one hot spot path may be determined as a first hot spot intelligent container, so as to obtain a first hot spot intelligent container group. For example, the A hotspot path may be adjacent to 1, 2, 3, 4, etc. container locations, and the B hotspot path may be adjacent to 3, 4, 5, 6, etc. container locations.
And step 306, performing duplicate removal processing on the obtained first hot spot intelligent container group to obtain a first duplicate removal hot spot intelligent container group.
In some embodiments, the executing entity may perform deduplication processing on the obtained first hot spot intelligent container group to obtain a first deduplication hot spot intelligent container group.
And 307, determining each intelligent container corresponding to each related item name in the related item name groups as a second intelligent container group to obtain a second intelligent container group set.
In some embodiments, the executing agent may determine each intelligent container corresponding to each associated item name in the associated item name group as a second intelligent container group, to obtain a second intelligent container group set. For example, the associated item name may be "turbot-lobster". The intelligent container "a container" corresponding to "turbot" in the associated article name "turbot-lobster" may be determined as the second intelligent container. The intelligent container "c container" corresponding to "lobster" in the associated article name "turbos-lobster" may be determined as the second intelligent container.
And 308, generating a target hot spot intelligent container group set according to the first hot spot intelligent container group and the second intelligent container group set.
In some embodiments, for each second intelligent container group in the second set of intelligent container groups, the executing agent may determine a second intelligent container group as a target hot intelligent container group in response to a second intelligent container corresponding to a container number corresponding to a first hot intelligent container in the first hot intelligent container group existing in the second intelligent container group.
In some embodiments, first, the executing agent may determine, as a target sum, a sum of article traffic amounts included in each article related information corresponding to each target hot spot intelligent container group in the target hot spot intelligent container group set, to obtain a target sum group. Then, the execution body may sort each target sum in the target sum group in a descending order to obtain a target sum sequence. Finally, the execution subject may perform sorting processing on each target hot spot intelligent container group included in the target hot spot intelligent container group set according to the target hot spot intelligent container group corresponding to the target sum in the target sum sequence, so as to obtain the target hot spot intelligent container group sequence.
And 310, determining at least one intelligent container without the target hot spot intelligent container group sequence in each intelligent container as a target intelligent container group.
In some embodiments, the executing agent may determine, as the target intelligent container group, at least one of the intelligent containers from which the target hot spot intelligent container group sequence is removed. For example, each intelligent container may be "a container, b container, c container, d container, e container". The target hotspot intelligent container group sequence can be "[ a container, b container ]; [ c Container, d Container ] ". The target hotspot intelligent container group sequence [ a container and b container ] can be removed from the intelligent containers 'a container, b container, c container, d container and e container'; at least one intelligent container "e container" of [ c container, d container ] "is determined as the target intelligent container group.
And 311, respectively controlling the target hotspot intelligent container group sequence and the target intelligent container group to move and place according to the target area.
In some embodiments, according to the target area, the executing entity may control the target hotspot intelligent container group sequence and the target intelligent container group to move and place respectively by:
the method comprises the following steps of firstly, dividing a target area into a first area and a second area according to the number of target hot spot intelligent containers included in the target hot spot intelligent container group sequence and the number of target intelligent containers included in the target intelligent container group. And the first area corresponds to the target hot spot intelligent container group sequence. The second area corresponds to the target intelligent container group.
In practice, the executing agent may divide one side of the target area into a first area and a second area by taking a ratio of the number of target hot spot intelligent containers included in the target hot spot intelligent container group sequence to the number of target intelligent containers included in the target intelligent container group as a boundary point of one side of the target area. The first area can be used for placing the target hot spot intelligent containers in the target hot spot intelligent container group sequence. The second area can be used for placing the target intelligent containers in the target intelligent container group.
Secondly, executing the following processing steps for each target hot spot intelligent container group in the target hot spot intelligent container group sequence:
the first substep is to mark the target hot spot intelligent container with article flow greater than or equal to the preset flow in the target hot spot intelligent container group as a primary target hot spot intelligent container. Here, the setting of the preset amount of the flow is not limited.
And in the second substep, marking the target hot spot intelligent container with the article flow amount smaller than the preset flow amount in the target hot spot intelligent container group as a secondary target hot spot intelligent container.
And thirdly, dividing the first area according to the number of the marked primary target hot spot intelligent containers and the number of the marked secondary target hot spot intelligent containers to obtain a primary area and a secondary area.
In practice, the executing body may divide one side of the first area into a primary area and a secondary area by taking a ratio of the number of the marked primary target hot spot intelligent containers to the number of the marked secondary target hot spot intelligent containers as a boundary point of one side of the first area.
And fourthly, controlling each primary target hot spot intelligent container in the target hot spot intelligent container group sequence to be sequentially placed in the primary area.
In practice, the executing body may control, for each target hot spot intelligent container group in the target hot spot intelligent container group sequence, each primary target hot spot intelligent container in the target hot spot intelligent container group to be sequentially placed in the primary area from large to small according to the corresponding commodity circulation amount.
And fifthly, controlling each secondary target hot spot intelligent container in the target hot spot intelligent container group sequence to be sequentially placed in the secondary area.
In practice, the executing body may control, for each target hot spot intelligent container group in the target hot spot intelligent container group sequence, each secondary target hot spot intelligent container in the target hot spot intelligent container group to be sequentially placed in the secondary area according to the corresponding article circulation amount from large to small.
And sixthly, controlling the target intelligent containers in the target intelligent container group to be sequentially placed in the second area according to the article circulation amount corresponding to the target intelligent container group.
In practice, the executing body may control each target intelligent container in the target intelligent container group to be sequentially placed in the second area according to the corresponding article circulation amount from large to small.
Optionally, in response to receiving the value reduction information corresponding to the items in any one of the intelligent containers, placing the any one of the intelligent containers to the container position of the alternative intelligent container in the primary area.
In practice, the executing agent may place any one of the intelligent containers to the container position of the alternative intelligent container in the primary area in response to receiving the value reduction information corresponding to the items in the any one of the intelligent containers. The standby intelligent container is a primary target hot spot intelligent container with the largest article flow quantity corresponding to the primary region.
The related content in step 304-311 serves as an invention point of the present disclosure, and solves the second technical problem mentioned in the background art that "the intelligent container is not collocated and placed, so that a part of the articles in the intelligent container are overstocked, and unnecessary loss of the articles is caused". The factors that contribute to unnecessary wastage of articles tend to be as follows: the intelligent containers are not collocated and placed, so that the overstocked articles in part of the intelligent containers are too much, and unnecessary loss of the articles is caused. If the above factors are solved, the effect of reducing unnecessary loss of the article can be achieved. In order to achieve this effect, the present disclosure first selects, from the foregoing duplication removal item name group, a duplication removal item name whose total quantity of the selected items satisfies the foregoing preset condition as a target item name, and obtains a target item name group. Therefore, the articles with high circulation efficiency can be determined, and the intelligent container with the articles can be placed at the hot spot position conveniently in the follow-up process. And secondly, determining the frequency of each target item name in the target item name group in the order information set to obtain a frequency group. Therefore, the preference degree of the user for some articles can be determined, and the articles preferred by the user can be conveniently placed together in the following process. And then, according to the frequency group, performing descending sorting on the names of the target articles in the target article name group to obtain a target article name sequence. And then, in response to the fact that the frequency difference corresponding to every two target article names in the target article name sequence is smaller than or equal to a preset difference value, performing association processing on the two target article names. Therefore, articles favored by users can be associated together, and the article circulation efficiency is improved conveniently. Then, according to the number of the target hot spot intelligent containers included in the target hot spot intelligent container group sequence and the number of the target intelligent containers included in the target intelligent container group, the target area is divided into a first area and a second area. The first area corresponds to the target hot spot intelligent container group sequence, and the second area corresponds to the target intelligent container group. Thereby, separation of associated items from unassociated items is facilitated. Then, for each target hot spot intelligent container group in the target hot spot intelligent container group sequence, executing the following processing steps: marking the target hot spot intelligent container with the article flow amount more than or equal to the preset flow amount in the target hot spot intelligent container group as a primary target hot spot intelligent container; and marking the target hot spot intelligent container with the article flow amount smaller than the preset flow amount in the target hot spot intelligent container group as a secondary target hot spot intelligent container. And dividing the first area according to the number of the marked primary target hot spot intelligent containers and the number of the marked secondary target hot spot intelligent containers to obtain a primary area and a secondary area. Therefore, the intelligent containers of the related articles can be placed in adjacent and different areas (primary area and secondary area) according to different circulation amounts. And finally, controlling each primary target hot spot intelligent container in the target hot spot intelligent container group sequence to be sequentially placed in the primary area. And controlling each secondary target hot spot intelligent container in the target hot spot intelligent container group sequence to be sequentially placed in the secondary area according to the article circulation amount corresponding to the target intelligent container group, and controlling each target intelligent container in the target intelligent container group to be sequentially placed in the second area. From this, accomplished the collocation to the intelligent packing cupboard and put, promoted the circulation efficiency of article in the intelligent packing cupboard, alleviated the article backlog in some intelligent packing chests, reduced the unnecessary loss of article.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the flow 300 of the intelligent container placement method in some embodiments corresponding to fig. 3 completes the collocation and placement of the intelligent container, improves the circulation efficiency of the articles in the intelligent container, relieves the overstock of the articles in part of the intelligent container, and reduces the unnecessary loss of the articles.
With further reference to fig. 4, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of an intelligent container arrangement apparatus, which correspond to those of the method embodiments described above in fig. 2, and which can be applied to various electronic devices.
As shown in fig. 4, the intelligent container arrangement apparatus 400 of some embodiments includes: a recognition unit 401, a first acquisition unit 402, a second acquisition unit 403, an association unit 404, and a control unit 405. The identification unit 401 is configured to identify at least one hot spot path in paths included in a target area according to a video of the target area corresponding to the video captured by an infrared camera within a preset time period; the first obtaining unit 402 is configured to obtain container information of each intelligent container in the target area, resulting in a set of container information, wherein the container information comprises: container number, container location and article-related information, the article-related information comprising: item name and item traffic; the second obtaining unit 403 is configured to obtain an order information set corresponding to the target area within the preset time period, where the order information in the order information set includes an item name group and an item acquisition amount group, and an item name in the item name group corresponds to an item acquisition amount in the item acquisition amount group; the associating unit 404 is configured to associate, according to each item acquisition amount group included in the order information set, at least one item name meeting a preset condition in each item name group included in the order information set, so as to obtain an associated item name group; the control unit 405 is configured to control each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated item name group, and the information related to each item included in the container information group.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1) 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: identifying at least one hot spot path in each path included in a target area according to a video of the corresponding target area shot by an infrared camera in a preset time period; obtaining container information of each intelligent container in the target area to obtain a container information group, wherein the container information comprises: container number, container location and article-related information, the article-related information comprising: item name and item traffic; acquiring an order information set corresponding to the target area within the preset time period, wherein the order information in the order information set comprises an article name group and an article acquisition amount group, and the article name in the article name group corresponds to the article acquisition amount in the article acquisition amount group; according to each item acquisition quantity group included in the order information set, performing association processing on at least one item name meeting preset conditions in each item name group included in the order information set to obtain an associated item name group; and controlling each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated article name group and the related information of each article in the container information group.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an identification unit, a first acquisition unit, a second acquisition unit, an association unit, and a control unit. For example, the associating unit may be further described as a unit that associates at least one item name meeting a preset condition in each item name group included in the order information set according to each item acquisition amount group included in the order information set to obtain an associated item name group.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (9)
1. An intelligent container placing method comprises the following steps:
identifying at least one hot spot path in each path included in a target area according to a video of the corresponding target area shot by an infrared camera in a preset time period;
obtaining container information of each intelligent container in the target area to obtain a container information group, wherein the container information comprises: container numbers, container locations, and item-related information, the item-related information including: item name and item traffic;
acquiring an order information set corresponding to the target area in the preset time period, wherein the order information in the order information set comprises an article name group and an article acquisition amount group, and the article name in the article name group corresponds to the article acquisition amount in the article acquisition amount group;
according to each item acquisition quantity group included in the order information set, performing association processing on at least one item name meeting preset conditions in each item name group included in the order information set to obtain an associated item name group;
controlling each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated article name group and the related information of each article in the container information group;
wherein, the associating, according to each item acquisition amount group included in the order information set, at least one item name meeting a preset condition in each item name group included in the order information set includes:
performing duplicate removal processing on the names of the items included in the order information set to obtain a duplicate removal item name group;
determining the total item acquisition amount of each weight-removed item name in the weight-removed item name group according to each item acquisition amount group included in the order information set to obtain an item acquisition total amount group;
selecting the corresponding weight removing item name with the total item acquisition amount meeting the preset condition from the weight removing item name group as a target item name to obtain a target item name group, wherein the preset condition is that the total item acquisition amount is greater than or equal to a preset acquisition amount;
determining the frequency of each target article name in the target article name group in the order information set to obtain a frequency group;
according to the frequency group, performing descending sequencing on the names of the target articles in the target article name group to obtain a target article name sequence;
and performing association processing on the two target item names in response to the fact that the frequency difference corresponding to each two target item names in the target item name sequence is smaller than or equal to a preset difference value.
2. The method of claim 1, wherein the controlling the intelligent containers to move and place in the target area according to the at least one hot spot path, the intelligent containers corresponding to the associated item name group, and the item-related information included in the container information group comprises:
determining each intelligent container corresponding to each hot spot path in the at least one hot spot path as a first hot spot intelligent container according to each container position of each intelligent container in the target area, so as to obtain a first hot spot intelligent container group;
carrying out duplicate removal treatment on the obtained first hot spot intelligent container group to obtain a first duplicate removal hot spot intelligent container group;
determining each intelligent container corresponding to each associated article name in the associated article name group as a second intelligent container group to obtain a second intelligent container group set;
and generating a target hot spot intelligent container group set according to the first hot spot intelligent container group and the second intelligent container group set.
3. The method of claim 2, wherein said controlling said each intelligent container to move pose within said target area further comprises:
according to the related information of each article included in the container information group, sequencing each target hot spot intelligent container group included in the target hot spot intelligent container group set to obtain a target hot spot intelligent container group sequence;
determining at least one intelligent container from which the target hot spot intelligent container group sequence is removed in each intelligent container as a target intelligent container group;
and respectively controlling the target hot spot intelligent container group sequence and the target intelligent container group to move and place according to the target area.
4. The method of claim 2, wherein the generating a set of target hot spot intelligent container groups from the first set of hot spot intelligent container groups and the second set of intelligent container groups comprises:
and for each second intelligent container group in the second intelligent container group set, in response to the existence of a second intelligent container in the second intelligent container group with the same container number as that corresponding to the first hot intelligent container in the first hot intelligent container group, determining the second intelligent container group as a target hot intelligent container group.
5. The method of claim 3, wherein said controlling the sequence of target hot spot intelligent container groups and the target intelligent container groups to move and lay out, respectively, according to the target area comprises:
dividing the target area into a first area and a second area according to the number of target hot spot intelligent containers included in the target hot spot intelligent container group sequence and the number of target intelligent containers included in the target intelligent container group, wherein the first area corresponds to the target hot spot intelligent container group sequence, and the second area corresponds to the target intelligent container group;
for each target hot spot intelligent container group in the target hot spot intelligent container group sequence, executing the following processing steps:
marking the target hot spot intelligent container with the article flow amount more than or equal to the preset flow amount in the target hot spot intelligent container group as a primary target hot spot intelligent container;
marking the target hot spot intelligent container with the article flow amount smaller than the preset flow amount in the target hot spot intelligent container group as a secondary target hot spot intelligent container;
dividing the first area according to the number of the marked primary target hot spot intelligent containers and the number of the marked secondary target hot spot intelligent containers to obtain a primary area and a secondary area;
controlling each primary target hot spot intelligent container in the target hot spot intelligent container group sequence to be sequentially placed in the primary area;
controlling each secondary target hot spot intelligent container in the target hot spot intelligent container group sequence to be sequentially placed in the secondary area;
and controlling the target intelligent containers in the target intelligent container group to be sequentially placed in the second area according to the article circulation amount corresponding to the target intelligent container group.
6. The method of claim 5, wherein the method further comprises:
in response to receiving the value reduction information corresponding to the articles in any one of the intelligent containers, placing the any one of the intelligent containers to the container position of the alternative intelligent container in the primary area, wherein the alternative intelligent container is the primary target hot spot intelligent container with the largest article flow rate in the primary area.
7. The utility model provides an intelligent container puts device, includes:
the identification unit is configured to identify at least one hot spot path in paths included in a target area according to a video of the corresponding target area shot by an infrared camera within a preset time period;
a first obtaining unit configured to obtain container information of each intelligent container in the target area, resulting in a container information set, wherein the container information comprises: container numbers, container locations, and item-related information, the item-related information including: item name and item traffic;
a second obtaining unit, configured to obtain an order information set corresponding to the target area within the preset time period, where the order information in the order information set includes an item name group and an item acquisition amount group, and an item name in the item name group corresponds to an item acquisition amount in the item acquisition amount group;
the association unit is configured to associate at least one item name meeting a preset condition in each item name group included in the order information set according to each item acquisition quantity group included in the order information set to obtain an associated item name group; the association unit is further configured to:
performing duplicate removal processing on the names of the items included in the order information set to obtain a duplicate removal item name group;
determining the total item acquisition amount of each weight-removed item name in the weight-removed item name group according to each item acquisition amount group included in the order information set to obtain an item acquisition total amount group;
selecting the corresponding weight removing item name with the total item acquisition amount meeting the preset condition from the weight removing item name group as a target item name to obtain a target item name group, wherein the preset condition is that the total item acquisition amount is greater than or equal to a preset acquisition amount;
determining the frequency of each target article name in the target article name group in the order information set to obtain a frequency group;
according to the frequency group, performing descending sequencing on the names of the target articles in the target article name group to obtain a target article name sequence;
performing association processing on the two target item names in response to the fact that the frequency difference corresponding to each two target item names in the target item name sequence is smaller than or equal to a preset difference value;
and the control unit is configured to control each intelligent container to move and place in the target area according to the at least one hot spot path, the intelligent container corresponding to the associated item name group and each item related information included in the container information group.
8. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
9. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-6.
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