CN112547569B - Article sorting equipment control method, device, equipment and computer readable medium - Google Patents
Article sorting equipment control method, device, equipment and computer readable medium Download PDFInfo
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- 238000012546 transfer Methods 0.000 claims abstract description 59
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- 238000004590 computer program Methods 0.000 claims description 9
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- 238000010606 normalization Methods 0.000 claims description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/3412—Sorting according to other particular properties according to a code applied to the object which indicates a property of the object, e.g. quality class, contents or incorrect indication
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
Abstract
The embodiment of the disclosure discloses an article sorting equipment control method, an article sorting equipment control device, article sorting equipment and a computer readable medium. One embodiment of the method comprises: determining a reference article information set and an article information set to be grouped according to a target article information set acquired in advance; determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value set to obtain a similarity value set; grouping reference article information in the reference article information set and article information to be grouped in the article information set to be grouped to obtain a grouped article information group set; sorting the article information groups in the article information group set to obtain an article information group sequence; and controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped. The embodiment improves the value transfer rate of the articles and the utilization rate of the storage space.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method, a device, equipment and a computer readable medium for controlling article sorting equipment.
Background
The article sorting equipment control is a method for controlling the article sorting equipment to sort the articles to be grouped according to the classified article information so as to conveniently configure article booths. At present, when controlling an article sorting apparatus, the generally adopted method is: and controlling the article sorting equipment to sort the articles to be grouped by using the article information classified according to the categories of the articles.
However, when the article sorting apparatus is controlled in the above manner, there are often technical problems as follows:
the articles are classified only according to the categories of the articles, the classified article information is only related on the categories, and after the articles are sorted and the goods are arranged in a spreading position according to the classified article information, the value transfer rate of the articles and the utilization rate of the storage space are difficult to improve.
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 an article sorting apparatus control method, device, apparatus and computer readable medium 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 article sorting apparatus control method, the method comprising: determining a reference article information set and an article information set to be grouped according to a target article information set acquired in advance; determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value set to obtain a similarity value set; according to the similarity value group set, grouping reference article information in the reference article information set and article information to be grouped in the article information set to be grouped to obtain a grouped article information group set; sorting the article information groups in the article information group set to obtain an article information group sequence; and controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped.
In some embodiments, the determining, according to the target item information, a similarity value between each reference item information in the reference item information set and each item information to be grouped in the item information to be grouped set includes:
determining a similarity value between the reference article information and the article information to be grouped by the following formula:
wherein the content of the first and second substances,
the value of the degree of similarity is represented,
a net worth value included in the target item information corresponding to the reference item information in the target item information set,
representing a net value included in target item information corresponding to the item information to be grouped in the target item information set,
indicating an inventory amount included in target item information corresponding to the reference item information in the target item information set,
indicating an inventory amount included in target item information corresponding to the item information to be grouped in the target item information set,
indicating the number of value transfers included in the target item information corresponding to the reference item information in the target item information set,
representing the number of value transfers included in target item information corresponding to the item information to be grouped in the target item information set,
indicating an article transfer amount included in the target article information corresponding to the reference article information in the target article information set,
and indicating the article transfer amount included in the target article information corresponding to the article information to be grouped in the target article information set.
In some embodiments, the determining a composite score value for each item information group in the set of item information groups according to the normalized target item information set includes:
determining a composite score value for the group of item information by:
wherein the content of the first and second substances,
the value of the integrated score is represented,
the sequence number is shown to indicate that,
indicating the number of item information included in the set of item information,
representing a normalized net worth value in the normalized target item information set corresponding to item information included in the item information group,
representing the item information in the normalized target item information set and the item information group
Normalized net value values included in the normalized target item information corresponding to the individual item information,
indicating a normalized stock quantity included in normalized target item information corresponding to item information included in the item information group in the normalized target item information set,
representing the item information in the normalized target item information set and the item information group
Individual articleNormalized inventory amounts included in the normalized target article information corresponding to the article information,
representing normalized value transfer times included in normalized target item information corresponding to item information included in the item information group in the normalized target item information set,
representing the item information in the normalized target item information set and the item information group
The normalized value transfer times included in the normalized target article information corresponding to the individual article information,
representing a normalized article transfer amount included in normalized target article information corresponding to article information included in the article information group in the normalized target article information set,
representing the item information in the normalized target item information set and the item information group
The normalized article transfer amount included in the normalized target article information corresponding to the individual article information.
In a second aspect, some embodiments of the present disclosure provide an article sorting apparatus control device, the device comprising: a first determination unit configured to determine a reference item information set and an item information set to be grouped according to a target item information set acquired in advance; a second determining unit configured to determine a similarity value between each reference article information in the reference article information set and each article information to be grouped in the article information set to be grouped to generate a similarity value set, resulting in a similarity value set; a grouping unit configured to perform grouping processing on reference article information in the reference article information set and article information to be grouped in the article information set to be grouped according to the similarity value group set to obtain a grouped article information group set; a sorting unit configured to sort the article information groups in the article information group set to obtain an article information group sequence; and the control unit is configured to control the article sorting equipment according to the article information group sequence so as to sort the articles to be grouped.
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: after the article booths are configured by the article sorting equipment control method of some embodiments of the present disclosure, the value transfer rate of the articles and the utilization rate of the storage space can be improved to a certain extent. Specifically, the reasons for the low value transfer rate of the articles and the low utilization rate of the storage space are that: the item information is classified only according to the item category, and the association between the item information of different categories is not considered. Based on this, the article sorting apparatus control method of some embodiments of the present disclosure first determines a reference article information set and an article information set to be grouped according to a target article information set acquired in advance. Therefore, the target article information in the target article information set is preliminarily classified, and the reference article information in the reference article information set is used as a classification basis of the article information to be grouped in the article information set to be grouped. And then, determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value group, so as to obtain a similarity value group set. And then, according to the similarity value group set, grouping reference article information in the reference article information set and article information to be grouped in the article information set to be grouped to obtain a grouped article information group set. Therefore, the reference article information in the reference article information set is used as a reference basis, and the article information to be grouped in the article information set to be grouped is grouped according to the similarity between the article information to be grouped in the article information set to be grouped and the reference article information in the reference article information set. Then, the article information groups in the article information group set are sequenced to obtain an article information group sequence. Thus, the item information included in each item information group in the set of item information groups is sorted according to its difference. And finally, controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped. Thus, the booths can be configured after sorting the articles according to the article information group order. Therefore, the value transfer rate of the articles and the utilization rate of the storage space are improved.
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 article sorting apparatus control method of some embodiments of the present disclosure;
fig. 2 is a flow chart of some embodiments of an article sorting apparatus control method according to the present disclosure;
fig. 3 is a flow chart of further embodiments of an article sorting apparatus control method according to the present disclosure;
figure 4 is a schematic structural diagram of some embodiments of an article sorting apparatus control arrangement 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 article sorting apparatus control method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may determine the reference item information set 103 and the item information set 104 to be grouped according to the target item information set 102 acquired in advance. Next, the computing device 101 may determine a similarity value between each reference article information in the above-mentioned reference article information set 103 and each article information to be grouped in the above-mentioned article information set to be grouped 104 to generate a similarity value group, resulting in a similarity value group set 105. Then, the computing device 101 may perform grouping processing on the reference article information in the reference article information set 103 and the article information to be grouped in the article information to be grouped set 104 according to the similarity value group set 105 to obtain a grouped article information group set 106. Then, the computing device 101 may sort the item information groups in the item information group set 106 to obtain an item information group sequence 107. Finally, the computing device 101 may control the item sorting device 108 to sort the items to be grouped according to the item information group sequence 107 described above.
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 article sorting apparatus control method according to the present disclosure is shown. The control method of the article sorting equipment comprises the following steps:
In some embodiments, an execution subject (such as the computing apparatus 101 shown in fig. 1) of the article sorting apparatus control method may determine the reference article information set and the article information sets to be grouped according to a target article information set acquired in advance. The target item information set may be acquired through a wired connection manner or a wireless connection manner. The target item information set may be a set of item information of items to be grouped. The reference item information set may be a set of a preset number of pieces of target item information randomly selected from the target item information set. The object item information set to be grouped may be a set of object item information remaining after the reference item information in the reference item information set is removed from the object item information set. The target item information in the target item information set may include an item name and a remaining shelf life of the item.
As an example, the predetermined number may be the number of article booths. The target item information set may be { [ a potato chip, 90 days ], [ B cola, 60 days ], [ C yogurt, 4 days ] }.
In some optional implementations of some embodiments, the determining, by the execution subject, the reference item information set and the item information set to be grouped may include:
the first step is that target article information meeting preset conditions is selected from the target article information set to serve as reference article information, and a reference article information set is obtained. The preset condition may be that the remaining shelf life of the object item included in the object item information is one of a preset number of object item information with the shortest remaining shelf life of the object item included in each object item information in the object item information set.
As an example, the predetermined number may be the number of article booths.
And secondly, selecting target article information which does not meet the preset conditions from the target article information set as article information to be grouped to obtain an article information set to be grouped.
In some optional implementations of some embodiments, the executing body may determine, in response to receiving a request for determining a sequence of item information groups, a reference item information set and an item information set to be grouped according to a target item information set acquired in advance. Therefore, the time for determining the reference article information set and the article information sets to be grouped is increased, and the consumption of computing resources and network resources caused by frequently executing the determination of the reference article information set and the article information sets to be grouped can be avoided.
In some embodiments, the execution subject may use an absolute value of a difference between a remaining shelf life of the article included in the reference article information and a remaining shelf life of the article included in the article information to be grouped as the similarity value between the reference article information and the article information to be grouped.
And step 203, grouping the reference article information in the reference article information set and the article information to be grouped in the article information set to be grouped according to the similarity value group set to obtain a grouped article information group set.
In some embodiments, the executing body may perform grouping processing on the reference article information in the reference article information set and the article information to be grouped in various ways according to the similarity value group set, so as to obtain a grouped article information group set.
In some optional implementation manners of some embodiments, the performing main body performs grouping processing on the reference item information in the reference item information set and the item information to be grouped in the item information set to be grouped to obtain a grouped item information group set, and may include the following steps:
first, a reference item information group is created for each reference item information in the reference item information set, and a reference item information group set is obtained. Wherein the reference article information group in the reference article information group set has a one-to-one correspondence relationship with the reference article information in the reference article information set.
And a second step of adding each reference item information in the reference item information set to a different reference item information group in the reference item information group set. Wherein the reference article information has a one-to-one correspondence relationship with the added reference article information group.
And thirdly, adding each piece of article information to be grouped in the article information set to be grouped to a reference article information group of the reference article information with the maximum similarity value between the reference article information and the article information in the reference article information set to obtain an added reference article information group set.
And fourthly, determining the added reference article information group set as a grouped article information group set.
And 204, sequencing the article information groups in the article information group set to obtain an article information group sequence.
In some embodiments, the execution body may sort the item information groups in the item information group set in order from high to low according to a sum of similarity values between each item information in the item information groups in the item information group set and the reference item information in the item information group, so as to obtain an item information group sequence. The item information group sequence comprises at least one group of item information groups and corresponding sequence numbers.
And 205, controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped.
In some embodiments, the execution body may control the article sorting apparatus to sort the articles to be grouped according to the sequence of the article information groups. The article to be grouped corresponding to the article information in the same article information group in the article information group sequence can be divided into a group, and then the booth configuration is carried out according to the sequence number of the article information group. Wherein, the corresponding relationship between the sequence numbers and the booths can be preset. The serial number and the booth number corresponding to the booth may be stored in advance in a binary form.
The above embodiments of the present disclosure have the following advantages: after the article booths are configured by the article sorting equipment control method of some embodiments of the present disclosure, the value transfer rate of the articles and the utilization rate of the storage space can be improved to a certain extent. Specifically, the reasons for the low value transfer rate of the articles and the low utilization rate of the storage space are that: the item information is classified only according to the item category, and the association between the item information of different categories is not considered. Based on this, the article sorting apparatus control method of some embodiments of the present disclosure first determines a reference article information set and an article information set to be grouped according to a target article information set acquired in advance. Therefore, the target article information in the target article information set is preliminarily classified, and the reference article information in the reference article information set is used as a classification basis of the article information to be grouped in the article information set to be grouped. And then, determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value group, so as to obtain a similarity value group set. And then, according to the similarity value group set, grouping reference article information in the reference article information set and article information to be grouped in the article information set to be grouped to obtain a grouped article information group set. Therefore, the reference article information in the reference article information set is used as a reference basis, and the article information to be grouped in the article information set to be grouped is grouped according to the similarity between the article information to be grouped in the article information set to be grouped and the reference article information in the reference article information set. Then, the article information groups in the article information group set are sequenced to obtain an article information group sequence. Thus, the item information included in each item information group in the set of item information groups is sorted according to its difference. And finally, controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped. Thus, the booths can be configured after sorting the articles according to the article information group order. Therefore, the value transfer rate of the articles and the utilization rate of the storage space are improved.
With further reference to fig. 3, a flow 300 of further embodiments of an article sorting apparatus control method is illustrated. The process 300 of the article sorting apparatus control method includes the steps of:
In some embodiments, the specific implementation manner and technical effects of step 301 may refer to step 201 in those embodiments corresponding to fig. 2, and are not described herein again.
In some embodiments, the executing agent may determine, according to the target article information set, a similarity value between each reference article information in the reference article information set and each article information to be grouped in the article information set to generate a similarity value set, resulting in a similarity value set. The target item information in the target item information set may include, but is not limited to: item name, item class, inventory, number of value transfers, net value (e.g., profit), and amount of item transfer (e.g., sales). The value transfer times, net value and article transfer amount may be the value transfer times, net value and article transfer amount within a predetermined time period. The preset time period may be 1 day, 7 days, 30 days, or the like. The end time of the preset time period may be the time when the target item information set is acquired.
The similarity value between the reference article information and the article information to be grouped can be determined by the following formula:
wherein the content of the first and second substances,
the above-described similarity value is shown.
And a net worth value included in the target item information corresponding to the reference item information in the target item information set.
And the net value included in the target item information corresponding to the item information to be grouped in the target item information set is represented.
And indicating the stock quantity included in the target item information corresponding to the reference item information in the target item information set.
Indicating the stock quantity included in the target item information corresponding to the item information to be grouped in the target item information set.
And a value transfer unit configured to indicate a number of value transfers included in target item information corresponding to the reference item information in the target item information set.
And a value transfer unit configured to indicate a number of value transfers included in target item information corresponding to the item information to be grouped in the target item information set.
And a display unit that displays an article transfer amount included in the target article information corresponding to the reference article information in the target article information set.
And indicating an article transfer amount included in the target article information corresponding to the article information to be grouped in the target article information set.
And 303, according to the similarity value group set, grouping the reference article information in the reference article information set and the article information to be grouped in the article information set to be grouped to obtain a grouped article information group set.
In some embodiments, the specific implementation manner and technical effects of step 303 may refer to step 203 in those embodiments corresponding to fig. 2, and are not described herein again.
And step 304, determining the comprehensive score value of each item information group in the item information group set to obtain a comprehensive score value set.
In some embodiments, the determining, by the executing entity, a composite score value of each item information group in the item information group set to obtain a composite score value set may include:
firstly, respectively carrying out normalization processing on the inventory quantity, the value transfer times, the net value and the article transfer quantity included by each piece of target article information in the target article information set to obtain a normalized target article information set.
And secondly, determining the comprehensive grade value of each article information group in the article information group set according to the normalized target article information set.
In some optional implementations of some embodiments, the integrated value of the points of interest of the item information group may be determined by the following formula:
wherein the content of the first and second substances,
indicating the above-mentioned integrated value of credit。
Indicating a serial number.
Indicating the number of item information included in the item information group.
And a net value indicating a net value of the normalized net value corresponding to the item information included in the item information group in the normalized target item information set.
Indicating the item information group in the normalized target item information set and the item information group
And the normalized net value included in the normalized target article information corresponding to the individual article information.
Indicating a normalized stock quantity included in normalized target item information corresponding to the item information included in the item information group in the normalized target item information set.
Indicating the item information group in the normalized target item information set and the item information group
The normalized inventory amount included in the normalized target item information corresponding to the individual item information.
Indicating a normalized price included in normalized target item information corresponding to item information included in the item information group in the normalized target item information setNumber of value transitions.
Indicating the item information group in the normalized target item information set and the item information group
The normalized value transfer times included in the normalized target item information corresponding to the individual item information.
And a normalized article transfer amount indicating a normalized article transfer amount included in normalized target article information corresponding to the article information included in the article information group in the normalized target article information set.
Indicating the item information group in the normalized target item information set and the item information group
The normalized article transfer amount included in the normalized target article information corresponding to the individual article information.
The above formulas and related contents in steps 302 and 304 are regarded as an inventive point of the embodiments of the present disclosure, and further solve the technical problem mentioned in the background "it is difficult to improve the value transfer rate of the goods and the utilization rate of the storage space". Factors that make it difficult to improve the value transfer rate of the articles and the utilization rate of the storage space are often as follows: the existing control method of the article sorting equipment generally classifies article information according to the categories of articles, and then controls the article sorting equipment to sort articles to be grouped by using the classified article information. On the other hand, when the article information is classified only by the type of the article, it is difficult to classify the article information by the similarity of the article in other aspects, considering only the relationship of the article in the type. Therefore, after the article booths are configured according to the grouped article information, the articles on the same article booth are only related in category, and it is difficult to embody deeper relevance and collocation relationship among the articles. Further, it is difficult to improve the value transfer rate of the articles and the utilization rate of the storage space. If the above factors are solved, the effects of improving the value transfer rate of the articles and the utilization rate of the storage space can be achieved. In order to achieve the effect, firstly, the similarity among the article information is comprehensively evaluated from the four aspects of the net value, the stock quantity, the article transfer quantity and the value transfer times, and the similarity value among the article information to be grouped is obtained. Therefore, the similarity value is used as a reference basis for grouping the information of the articles to be grouped in the information set of the articles to be grouped. Furthermore, the similarity between the article information can be measured from multiple angles, so that the article information classified according to the similarity value has relevance of multiple dimensions. And then, according to the normalized net value, the normalized inventory quantity, the normalized value transfer times and the normalized article transfer quantity, determining the comprehensive score value of each article information group in the article information group set obtained after grouping together. The lower the comprehensive score value is, the higher the net value of the article represented by each article information in the article information group is, the higher the stock level is, the fewer the number of value transfers is, and the fewer the article transfer amount is. Thus, the item information groups in the item information group set can be sorted according to the comprehensive score value. Therefore, the article information corresponding to the article information group with low comprehensive scoring value is conveniently configured at the stall with higher traffic. Further, the value transfer rate of the articles is improved to a certain extent, and the stock is eliminated so as to improve the utilization rate of the storage space.
And 305, sorting the article information groups in the article information group set according to the comprehensive scoring value set.
In some embodiments, the execution subject may sort the item information groups in the item information group set according to sizes of the item information groups in the item information group set in the composite score value set from large to small.
And step 306, controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped.
In some embodiments, the specific implementation manner and technical effects of step 306 may refer to step 205 in those embodiments corresponding to fig. 2, and are not described herein again.
As can be seen from fig. 3, the process 400 of the article sorting apparatus control method in some embodiments corresponding to fig. 4 embodies the steps of determining the similarity value and the composite score value, as compared to the description of some embodiments corresponding to fig. 2. According to the method, firstly, the similarity among the article information is comprehensively evaluated from the four aspects of the net value, the stock quantity, the article transfer quantity and the value transfer frequency, and the similarity value among the article information to be grouped is obtained. Therefore, the similarity value is used as a reference basis for grouping the information of the articles to be grouped in the information set of the articles to be grouped. Furthermore, the similarity between the article information can be measured from multiple angles, so that the article information classified according to the similarity value has relevance of multiple dimensions. And then, according to the normalized net value, the normalized inventory quantity, the normalized value transfer times and the normalized article transfer quantity, determining the comprehensive score value of each article information group in the article information group set obtained after grouping together. The lower the comprehensive score value is, the higher the net value of the article represented by each article information in the article information group is, the higher the stock level is, the fewer the number of value transfers is, and the fewer the article transfer amount is. Thus, the item information groups in the item information group set can be sorted according to the comprehensive score value. Therefore, the article information corresponding to the article information group with low comprehensive scoring value is conveniently configured at the stall with higher traffic. Further, the value transfer rate of the articles is improved to a certain extent, and the stock is eliminated so as to improve the utilization rate of the storage space.
With further reference to fig. 4, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of an article sorting equipment control apparatus, which correspond to those of the method embodiments illustrated in fig. 2, and which may be particularly applicable in various electronic equipment.
As shown in fig. 4, the article sorting apparatus control device 400 of some embodiments includes: a first determination unit 401, a second determination unit 402, a grouping unit 403, an ordering unit 404, and a control unit 405. Wherein the first determining unit 401 is configured to determine the reference item information set and the item information sets to be grouped according to a target item information set acquired in advance. The second determining unit 402 is configured to determine a similarity value between each reference article information in the reference article information set and each article information to be grouped in the article information set to generate a similarity value set, resulting in a similarity value set. The grouping unit 403 is configured to perform grouping processing on the reference article information in the reference article information set and the article information to be grouped in the article information set to be grouped according to the similarity value group set, so as to obtain a grouped article information group set. The sorting unit 404 is configured to sort the item information groups in the item information group set, resulting in an item information group sequence. A control unit 405 configured to control the article sorting apparatus to sort the articles to be grouped according to the above-mentioned sequence of article information groups.
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 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 ROM 502, 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; 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 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 electronic device; 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: determining a reference article information set and an article information set to be grouped according to a target article information set acquired in advance; determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value set to obtain a similarity value set; according to the similarity value group set, grouping reference article information in the reference article information set and article information to be grouped in the article information set to be grouped to obtain a grouped article information group set; sorting the article information groups in the article information group set to obtain an article information group sequence; and controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped.
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 a first determination unit, a second determination unit, a grouping unit, an ordering unit, and a control unit. Where the names of these units do not in some cases constitute a limitation on the unit itself, for example, the first determination unit may also be described as a "unit that determines a reference item information set and an item information set to be grouped based on a target item information set acquired in advance".
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.
Claims (9)
1. An article sorting apparatus control method comprising:
according to a target article information set acquired in advance, a reference article information set and an article information set to be grouped are determined, wherein the target article information in the target article information set comprises: item name, item type, inventory, number of value transfers, net value number, and item transfer quantity;
determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value set to obtain a similarity value set;
according to the similarity value group set, grouping reference article information in the reference article information set and article information to be grouped in the article information set to be grouped to obtain a grouped article information group set;
sequencing the article information groups in the article information group set to obtain an article information group sequence;
controlling the article sorting equipment according to the article information group sequence to sort the articles to be grouped;
wherein, the determining a similarity value between each reference article information in the reference article information set and each article information to be grouped in the article information set to be grouped to generate a similarity value set, so as to obtain a similarity value set, and the determining includes:
and according to the target article information set, determining a similarity value between each piece of reference article information in the reference article information set and each piece of article information to be grouped in the article information set to generate a similarity value group, so as to obtain a similarity value group set.
2. The method according to claim 1, wherein the determining a reference item information set and an item information set to be grouped according to a pre-acquired target item information set comprises:
selecting target article information meeting preset conditions from the target article information set as reference article information to obtain a reference article information set;
and selecting target article information which does not meet the preset conditions from the target article information set as article information to be grouped to obtain an article information set to be grouped.
3. The method of claim 1, wherein said sorting the set of item information groups comprises:
determining the comprehensive score value of each article information group in the article information group set to obtain a comprehensive score value set;
and sequencing the article information groups in the article information group set according to the comprehensive scoring value set.
4. The method according to claim 1, wherein the grouping, according to the set of similarity value groups, the reference article information in the reference article information set and the article information to be grouped in the set of article information to be grouped to obtain a grouped article information group set includes:
creating a reference article information group for each reference article information in the reference article information set to obtain a reference article information group set;
adding each reference item information in the set of reference item information to a different reference item information group in the set of reference item information groups;
adding each item information to be grouped in the item information set to be grouped to a reference item information group of the reference item information with the maximum similarity value between the item information to be grouped and each reference item information in the reference item information set to obtain an added reference item information group set;
and determining the added reference article information group set as a grouped article information group set.
5. The method of claim 3, wherein the determining a composite score value for each item information group in the set of item information groups comprises:
respectively carrying out normalization processing on the inventory, the value transfer times, the net value and the article transfer quantity included by each piece of target article information in the target article information set to obtain a normalized target article information set;
and determining the comprehensive scoring value of each item information group in the item information group set according to the normalized target item information set.
6. The method according to claim 1, wherein the determining a reference item information set and an item information set to be grouped according to a pre-acquired target item information set comprises:
in response to receiving a request for determining the sequence of the item information groups, a reference item information set and an item information set to be grouped are determined according to a target item information set acquired in advance.
7. An article sorting equipment control device comprising:
a first determining unit, configured to determine a reference item information set and an item information set to be grouped according to a target item information set acquired in advance, wherein the target item information in the target item information set includes: item name, item type, inventory, number of value transfers, net value number, and item transfer quantity;
a second determining unit configured to determine a similarity value between each reference article information in the reference article information set and each article information to be grouped in the article information set to be grouped to generate a similarity value set, resulting in a similarity value set;
a grouping unit configured to perform grouping processing on reference article information in the reference article information set and article information to be grouped in the article information set to be grouped according to the similarity value group set to obtain a grouped article information group set;
the sorting unit is configured to sort the article information groups in the article information group set to obtain an article information group sequence;
a control unit configured to control the article sorting apparatus to sort the articles to be grouped according to the sequence of article information groups;
wherein the second determining unit is further configured to determine, according to the target item information set, a similarity value between each reference item information in the reference item information set and each item information to be grouped in the item information set to generate a similarity value set, resulting in a similarity value set.
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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| CN105728351B (en) * | 2016-03-11 | 2018-03-30 | 北京华特时代电动汽车技术有限公司 | Battery cell method for separating |
| CN107649410A (en) * | 2017-10-25 | 2018-02-02 | 长沙全度影像科技有限公司 | A kind of camera lens method for sorting and its device based on aberration |
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