CN112734309B

CN112734309B - Vehicle scheduling method, device, equipment and computer readable medium for article

Info

Publication number: CN112734309B
Application number: CN202110329776.8A
Authority: CN
Inventors: 于一淼
Original assignee: Beijing Missfresh Ecommerce Co Ltd
Current assignee: Shenzhen Yongsheng Intellectual Property Service Co.,Ltd.
Priority date: 2021-03-29
Filing date: 2021-03-29
Publication date: 2021-07-27
Anticipated expiration: 2041-03-29
Also published as: CN112734309A

Abstract

Embodiments of the present disclosure disclose vehicle scheduling methods, apparatus, devices and computer readable media for articles. One embodiment of the method comprises: acquiring a historical article information set of a target article, a target value reduction grade, a front value reduction grade corresponding to the target value reduction grade and a front traffic corresponding to the front value reduction grade; generating an article circulation coefficient based on the target value reduction grade, the front value reduction grade and the historical value reduction grade, the front historical value reduction grade, the historical circulation amount and the front historical circulation amount included by each historical article information in the historical article information set; generating an article transfer quantity based on the preposed transfer quantity, the article transfer coefficient and the target stock of the target article; and controlling the associated item scheduling vehicle to execute the item scheduling operation according to the item scheduling amount. This embodiment reduces the number of times the vehicle is repeatedly dispatched. Further, transportation resources can be saved.

Description

Vehicle scheduling method, device, equipment and computer readable medium for article

Technical Field

Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a vehicle scheduling method, apparatus, device, and computer-readable medium for an article.

Background

With the development of internet technology and electronic commerce, the goods dispatching vehicle needs to dispatch goods to the delivery warehouse in advance to meet the requirement of shortening the delivery time. At present, when dispatching articles, the general adopted method is as follows: and controlling related vehicles to schedule the articles according to a preset scheduling amount and a preset time period.

However, when the above-mentioned manner is adopted to dispatch the articles, the following technical problems often exist:

firstly, the influence of the increase or decrease of the value decrease value on the article flow quantity is not considered, so that the accuracy of the preset scheduling quantity is low, and further, when the preset scheduling quantity is low, vehicles need to be scheduled repeatedly for transportation, so that the waste of transportation resources is caused;

secondly, the influence of the change of the meteorological index on the commodity circulation quantity is not considered, the accuracy of the preset dispatching quantity is further low, and further when the preset dispatching quantity is high, the dispatched commodities are excessive, and the space resources of the delivery warehouse are wasted.

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 a vehicle scheduling method, apparatus, device and computer readable medium for an item to address one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a vehicle dispatching method for an item, the method comprising: acquiring a historical article information set, a target value reduction level, a front value reduction level corresponding to the target value reduction level and a front traffic amount corresponding to the front value reduction level of a target article, wherein the historical article information in the historical article information set comprises: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow and the prepositive historical flow are obtained; generating an item circulation coefficient based on the target value reduction level, the front value reduction level and the historical value reduction level, the front historical value reduction level, the historical circulation amount and the front historical circulation amount included in each historical item information in the historical item information set; generating an article adjustment amount based on the preposed circulation amount, the article circulation coefficient and the target stock of the target article; and controlling the associated article dispatching vehicle to execute article dispatching operation according to the article dispatching amount.

In some embodiments, said generating an item circulation coefficient based on said first item circulation coefficient and said second item circulation coefficient comprises:

generating an article flow coefficient by the following formula:

，

wherein the content of the first and second substances,

the coefficient of circulation of the article is represented,

representing the first item circulation coefficient,

representing the second commodity circulation coefficient.

In a second aspect, some embodiments of the present disclosure provide a vehicle dispatching device for an item, the device comprising: an obtaining unit configured to obtain a historical item information set of a target item, a target value reduction level, a forward value reduction level corresponding to the target value reduction level, and a forward traffic amount corresponding to the forward value reduction level, wherein the historical item information in the historical item information set includes: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow and the prepositive historical flow are obtained; a first generation unit configured to generate an item circulation coefficient based on the target value reduction level, the forward value reduction level, and a history value reduction level, a forward history value reduction level, a history circulation amount, and a forward history circulation amount included in each history item information in the history item information set; a second generation unit configured to generate an article adjustment amount based on the pre-staging amount, the article staging coefficient, and a target inventory amount of the target article; and the control unit is configured to control the associated article dispatching vehicle to execute article dispatching operation according to the article dispatching amount.

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: by the vehicle scheduling method for the article of some embodiments of the present disclosure, transportation resources are saved. Specifically, the reasons for the waste of transportation resources are: the influence of the increase or decrease of the value decrease value on the article flow quantity is not considered, so that the accuracy of the preset dispatching quantity is low, and further, when the preset dispatching quantity is low, the vehicle needs to be dispatched repeatedly for transportation. Based on this, the vehicle scheduling method for articles according to some embodiments of the present disclosure first obtains a historical article information set of a target article, a target value reduction level, a forward value reduction level corresponding to the target value reduction level, and a forward traffic amount corresponding to the forward value reduction level, where the historical article information in the historical article information set includes: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow, and the prepositive historical flow. Thus, the acquired historical item information set, target value reduction level, forward value reduction level and forward traffic amount can provide data support for generating the item traffic coefficient. Then, an item circulation coefficient is generated based on the target value reduction level, the forward value reduction level, and the historical value reduction level, the forward historical value reduction level, the historical circulation amount, and the forward historical circulation amount included in each piece of historical item information in the historical item information set. Thus, the influence of the commodity circulation amount can be quantified when the value reduction value changes from the front value reduction level to the target value reduction level, based on the directional combination relationship between the target value reduction level and the front value reduction level and the commodity circulation coefficient generated from the historical commodity information set. Then, an item adjustment amount is generated based on the pre-positioned circulation amount, the item circulation coefficient, and the target stock amount of the target item. Therefore, the more accurate article dispatching amount can be dynamically determined according to the generated article circulation coefficient so as to dispatch the articles. And finally, controlling the associated article dispatching vehicle to execute article dispatching operation according to the article dispatching amount. Therefore, the articles can be dispatched according to the generated accurate dispatching quantity. Thus, the number of times the vehicle is repeatedly dispatched can be reduced. Further, transportation resources can be saved.

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 illustration of one application scenario of a vehicle dispatch method for an item, in accordance with some embodiments of the present disclosure;

FIG. 2 is a flow diagram of some embodiments of a vehicle dispatch method for an item according to the present disclosure;

FIG. 3 is a flow diagram of further embodiments of a vehicle dispatch method for an item according to the present disclosure;

FIG. 4 is a schematic block diagram of some embodiments of a vehicle dispatching device for an item 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 one application scenario of a vehicle dispatch method for an item according to some embodiments of the present disclosure.

In the application scenario of fig. 1, first, the computing device 101 may obtain a historical item information set 102 of a target item, a target value reduction level 103, a forward value reduction level 104 corresponding to the target value reduction level 103, and a forward traffic 105 corresponding to the forward value reduction level. The historical item information in the historical item information set 102 includes: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow, and the prepositive historical flow. Then, the computing device 101 may generate the item circulation coefficient 106 based on the target value reduction level 103, the forward value reduction level 104, and the historical value reduction level, the forward historical value reduction level, the historical circulation amount, and the forward historical circulation amount included in each piece of historical item information in the historical item information set 102. Thereafter, the computing device 101 may generate an item adjustment quantity 108 based on the pre-staging quantity 105, the item circulation coefficient 106, and the target inventory quantity 107 of the target item. Finally, the computing device 101 may control the associated item scheduling vehicle 109 to perform an item scheduling operation in accordance with the item scheduling amount 108 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 a vehicle dispatch method for an item in accordance with the present disclosure is shown. The vehicle dispatching method for the article comprises the following steps:

step 201, acquiring a historical item information set of a target item, a target value reduction level, a front value reduction level corresponding to the target value reduction level and a front traffic corresponding to the front value reduction level.

In some embodiments, an executing entity (e.g., the computing device 101 shown in fig. 1) of the vehicle scheduling method for an item may obtain, from a terminal, a historical item information set of a target item, a target value reduction level, a forward value reduction level corresponding to the target value reduction level, and a forward traffic corresponding to the forward value reduction level through a wired connection or a wireless connection. The historical item information in the historical item information set may include: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow, and the prepositive historical flow. The historical value reduction level may be a level to which a value reduction rate (e.g., subsidy rate) belongs in the historical time period. For example, according to the correspondence table between the value reduction rate range and the value reduction level shown in the following table, the value reduction rate range to which the value reduction rate "10%" belongs is "(0, 20% ]". the value reduction rate range "(0, 20% ]" corresponds to a level of "1". The aforementioned past history value reduction level may be a level to which the value reduction rate belongs in the past history period corresponding to the history value reduction level.

Corresponding relation table of value reduction rate range and value reduction grade

The pre-historical drift amount may be a drift amount (e.g., a sales amount) of the target item during the previous historical time period. The target value reduction level may be a level to which the value reduction rate belongs in the current time period. The advanced value reduction level may be a level to which the value reduction rate belongs in a time period immediately preceding the current time period. The pre-positioned drift amount may be a drift amount of the target object in a time period before a current time period. It will be appreciated that the time intervals of the respective time periods are the same. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future. Thus, the acquired historical item information set, target value reduction level, forward value reduction level and forward traffic amount can provide data support for generating the item traffic coefficient.

As an example, the historical item information set may be:

{ [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160],

[ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 80],

[ historical value reduction level: 1, preposition historical value reduction grade: 3, historical traffic: 80, pre-history traffic: 180],

[ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 180]}. The target value reduction level may be [2 ]. The front value reduction level corresponding to the target value reduction level may be [3 ]. The overhead flow amount corresponding to the overhead value reduction level may be [170 ].

Step 202, generating an item circulation coefficient based on the target value reduction level, the forward value reduction level and the historical value reduction level, the forward historical value reduction level, the historical circulation amount and the forward historical circulation amount included in each historical item information in the historical item information set.

In some embodiments, the execution subject may generate the item circulation coefficient based on the target value reduction level, the forward value reduction level, and a historical value reduction level, a forward historical value reduction level, a historical circulation amount, and a forward historical circulation amount included in each historical item information in the historical item information set. In practice, first, the execution subject may extract, as the target history information, the history item information having a history value reduction level equal to the target value reduction level and a leading history value reduction level equal to the leading value reduction level from the history item information set, and obtain the target history information set. Then, a ratio of a pre-history traffic amount and a history traffic amount included in each target history information in the target history information set may be determined as a target ratio, so as to obtain a target ratio set. Finally, the median of each target ratio in the target ratio set can be determined as the article circulation coefficient. Thus, the influence of the commodity circulation amount can be quantified when the value reduction value changes from the front value reduction level to the target value reduction level, based on the directional combination relationship between the target value reduction level and the front value reduction level and the commodity circulation coefficient generated from the historical commodity information set.

As an example, first, the execution subject may extract the historical value reduction level from the historical item information set exemplified in step 201 and the target value reduction level [2] exemplified in step 201]Equal and leading historical value reduction level [3] as exemplified in step 201]And taking the equivalent historical article information as target historical information to obtain a target historical information set { [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160][ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 180]}. Then, the ratio of the previous historical traffic and the historical traffic included in each target historical information in the target historical information set may be determined as a target ratio, and a target ratio set [4/3, 3/2 ] is obtained]. Finally, the above target ratios can be aggregated [4/3, 3/2 ]]Median in each target ratio

And determining the article circulation coefficient.

And step 203, generating an article adjustment amount based on the preposed circulation amount, the article circulation coefficient and the target stock of the target article.

In some embodiments, the execution subject may generate an item adjustment amount based on the pre-staging amount, the item staging coefficient, and the target inventory amount of the target item. The target inventory may be the number of the target items remaining in an shipment warehouse storing the target items. In practice, first, the execution body may determine a ratio of the pre-staging amount to the article staging factor as a target staging amount. Then, in response to the target amount of the diversion being greater than the target amount of the stock, a difference between the target amount of the diversion and the target amount of the stock may be determined as an amount of the item modulation. The execution main body may further determine a preset number as the item adjustment amount in response to the target amount of circulation being equal to the target stock amount. The execution main body may further determine the item scheduling amount to be zero in response to the target amount of circulation being less than the target amount of inventory. Therefore, the more accurate article dispatching amount can be dynamically determined according to the generated article circulation coefficient so as to dispatch the articles.

As an example, the target inventory may be [60]]. First, the execution body may instantiate the pre-staging amount [170] of step 201]Coefficient of circulation of the above-mentioned articles

Ratio of (3)]And determining as the target flow rate. Then, may respond to the target amount of streaming [120 ]]If the target storage amount is larger than the target storage amount, the target flow rate is adjusted to [120 ]]And the above target stock [60]]Difference of (2) [60]]An item adjustment amount is determined.

And step 204, controlling the associated item scheduling vehicle to execute item scheduling operation according to the item scheduling amount.

In some embodiments, the executing agent may control the associated item scheduling vehicle to execute the item scheduling operation according to the item scheduling amount. In practice, the executing body may control the article dispatching vehicle to dispatch the article dispatching amount of the target article through a wired connection manner or a wireless connection manner. Therefore, the articles can be dispatched according to the generated accurate dispatching quantity.

As an example, the above item scheduling amount may be [60 ]. The target object may be "boxed apples". The execution main body can control an article dispatching vehicle to dispatch [60] boxes of ' unmanned vehicles 001 ' to load apples ' in a wireless connection mode.

With further reference to fig. 3, a flow 300 of further embodiments of a vehicle dispatch method for an item is illustrated. The flow 300 of the vehicle dispatching method for items comprises the following steps:

step 301, obtaining a target weather index grade of a target object and a preposed weather index grade corresponding to the target weather index grade.

In some embodiments, an executing entity (e.g., the computing device 101 shown in fig. 1) of the vehicle dispatching method for the object may obtain the target weather index rating of the object and the pre-weather index rating corresponding to the target weather index rating from the terminal through a wired connection or a wireless connection. The target weather index grade can be the grade to which the weather index of the place where the delivery warehouse is located belongs in the current time period. The meteorological index can be reference data which is issued by a meteorological department according to meteorological prediction and is provided for resident living and traveling. For example, the weather index may be a travel index. The pre-weather index grade can be a grade to which the weather index of the place where the delivery warehouse is located in the previous time period of the current time period belongs.

As an example, the target weather index rating may be [2 ]. The pre-meteorological index grade corresponding to the target meteorological index grade may be [3 ].

Step 302, acquiring a historical item information set of the target item, a target value reduction level, a front value reduction level corresponding to the target value reduction level and a front traffic corresponding to the front value reduction level.

In some embodiments, the execution subject may obtain, from the terminal, the historical item information set of the target item, the target value reduction level, the front value reduction level corresponding to the target value reduction level, and the front traffic amount corresponding to the front value reduction level through a wired connection manner or a wireless connection manner. The historical item information in the historical item information set may further include a historical weather index level and a pre-historical weather index level. The historical meteorological index grade can be the grade to which the meteorological index belongs in the historical time period. The pre-historical meteorological index grade can be a grade to which the meteorological index belongs in a historical time period before the historical time period.

As an example, the historical item information set may be:

{ [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160, historical weather index rating: 2, preposition historical meteorological index grade: 3],

[ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 80, historical meteorological index rating: 3, preposition historical meteorological index grade: 2],

[ historical value reduction level: 1, preposition historical value reduction grade: 3, historical traffic: 80, pre-history traffic: 180, historical weather index rating: 2, preposition historical meteorological index grade: 3],

[ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 120, historical weather index rating: 3, preposition historical meteorological index grade: 2],

[ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 160, historical weather index rating: 1, preposition historical meteorological index grade: 3]}. The target value reduction level may be [2 ]. The front value reduction level corresponding to the target value reduction level may be [3 ]. The overhead flow amount corresponding to the overhead value reduction level may be [170 ].

Step 303, generating a first commodity circulation coefficient based on the target value reduction level, the forward value reduction level and the historical value reduction level, the forward historical value reduction level, the historical circulation amount and the forward historical circulation amount included in each historical commodity information in the historical commodity information set.

In some embodiments, the execution subject may generate the first commodity circulation coefficient in various ways based on the target value reduction level, the forward value reduction level, and a historical value reduction level, a forward historical value reduction level, a historical circulation amount, and a forward historical circulation amount included in each historical commodity information in the historical commodity information set.

In some optional implementations of some embodiments, the executing entity may generate the first item circulation coefficient by:

first, historical item information having a historical value reduction level equal to the target value reduction level and a leading historical value reduction level equal to the leading value reduction level is extracted from the historical item information set as first value reduction historical information, and a first value reduction historical information set is obtained.

As an example, the execution subject may extract, from the historical item information set exemplified in step 302, historical item information having a historical value reduction level equal to the target value reduction level [2] and a leading historical value reduction level equal to the leading value reduction level [3] as first value reduction historical information, and obtain a first value reduction historical information set { [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160, historical weather index rating: 2, preposition historical meteorological index grade: 3], [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 120, historical weather index rating: 3, preposition historical meteorological index grade: 2]}.

And secondly, extracting historical item information with a historical value reduction level equal to the front value reduction level and a front historical value reduction level equal to the target value reduction level from the historical item information set to serve as second value reduction historical information, and obtaining a second value reduction historical information set.

As an example, the execution subject may extract, from the historical item information set exemplified in step 302, historical item information having a historical value reduction level equal to the front value reduction level [3] and a front historical value reduction level equal to the target value reduction level [2] as second value reduction historical information, and obtain a second value reduction historical information set { [ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 80, historical meteorological index rating: 3, preposition historical meteorological index grade: 2], [ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 160, historical weather index rating: 1, preposition historical meteorological index grade: 3]}.

And thirdly, determining the ratio of the forward historical flow and the historical flow included by each piece of first value reduction historical information in the first value reduction historical information set as a first value reduction article flow coefficient to obtain a first value reduction article flow coefficient set.

As an example, the execution subject may reduce the first value by the set of history information { [ history value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160, historical weather index rating: 2, preposition historical meteorological index grade: 3], [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 120, historical weather index rating: 3, preposition historical meteorological index grade: 2] determining the ratio of the forward historical flow rate and the historical flow rate included in each piece of first-value reduction history information as a first-value reduction article flow coefficient to obtain a first-value reduction article flow coefficient set [4/3, 1 ].

And fourthly, determining the ratio of the historical flow quantity and the previous historical flow quantity included in each second value reduction historical information in the second value reduction historical information set as a second value reduction article flow coefficient to obtain a second value reduction article flow coefficient set.

As an example, the execution subject may reduce the second value by the set of history information { [ history value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 80, historical meteorological index rating: 3, preposition historical meteorological index grade: 2], [ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 160, historical weather index rating: 1, preposition historical meteorological index grade: 3] determining the ratio of the historical flow rate and the previous historical flow rate included in each second value reduction history information as a second value reduction article flow rate to obtain a second value reduction article flow rate set [7/4, 7/8 ].

And fifthly, reducing the article circulation coefficients based on each first value in the first value reduction article circulation coefficient set and each second value in the second value reduction article circulation coefficient set to generate first article circulation coefficients.

In practice, the performing agent may determine a mean of the respective first value-reduced item circulation coefficients and the respective second value-reduced item circulation coefficients as the first item circulation coefficients.

As an example, the first value reduction article circulation coefficient set may be [4/3, 1 [ ]]. The second value reduction article circulation coefficient set may be [7/4, 7/8]]. The execution subject may be 4/3]、[1]、[7/4]And [7/8]Mean value of

A first item circulation coefficient is determined.

In practice, the execution body may further determine a median of the respective first value-reduced item circulation coefficients and the respective second value-reduced item circulation coefficients as the first item circulation coefficients.

And 304, generating a second commodity circulation coefficient based on the target weather index grade, the preposed weather index grade and the historical weather index grade, the preposed historical weather index grade, the historical circulation amount and the preposed historical circulation amount included by each historical commodity information in the historical commodity information set.

In some embodiments, the execution subject may generate the second commodity circulation coefficient in various ways based on the target weather index level, the previous weather index level, and a historical weather index level, a previous historical weather index level, a historical circulation amount, and a previous historical circulation amount included in each historical commodity information in the historical commodity information set.

In some optional implementations of some embodiments, the executing entity may generate the second commodity circulation coefficient by:

the method comprises the first step of extracting historical item information with a historical meteorological index grade equal to the target meteorological index grade and a leading historical meteorological index grade equal to the leading meteorological index grade from the historical item information set to obtain a first meteorological index historical information set.

As an example, the executing entity may extract, from the historical item information set exemplified in step 302, historical item information having a historical weather index level equal to the target weather index level [2] and a leading historical weather index level equal to the leading weather index level [3] as the first weather index historical information, and obtain a first weather index historical information set { [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160, historical weather index rating: 2, preposition historical meteorological index grade: 3], [ historical value reduction level: 1, preposition historical value reduction grade: 3, historical traffic: 80, pre-history traffic: 180, historical weather index rating: 2, preposition historical meteorological index grade: 3]}.

And secondly, extracting historical article information with the historical meteorological index grade equal to the preposed meteorological index grade and the preposed historical meteorological index grade equal to the target meteorological index grade from the historical article information set to serve as second meteorological index historical information, and obtaining a second meteorological index historical information set.

For example, the executing entity may extract, from the historical item information set exemplified in step 302, historical item information having a historical weather index level equal to the pre-weather index level [3] and a pre-historical weather index level equal to the target weather index level [2] as second weather index historical information, and obtain a second weather index historical information set { [ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 80, historical meteorological index rating: 3, preposition historical meteorological index grade: 2], [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 120, historical weather index rating: 3, preposition historical meteorological index grade: 2]}.

And thirdly, determining the ratio of the preposed historical circulation amount and the historical circulation amount included by each piece of first meteorological index historical information in the first meteorological index historical information set as a first meteorological index commodity circulation coefficient to obtain a first meteorological index commodity circulation coefficient set.

As an example, the execution subject may set { [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 160, historical weather index rating: 2, preposition historical meteorological index grade: 3], [ historical value reduction level: 1, preposition historical value reduction grade: 3, historical traffic: 80, pre-history traffic: 180, historical weather index rating: 2, preposition historical meteorological index grade: 3] determining the ratio of the preposed historical circulation amount and the historical circulation amount included by each first weather index historical information in the first weather index historical information as a first weather index article circulation coefficient, and obtaining a first weather index article circulation coefficient set [4/3, 9/4 ].

And fourthly, determining the ratio of the historical circulation quantity included by each piece of second meteorological index historical information in the second meteorological index historical information set to the previous historical circulation quantity as a second meteorological index commodity circulation coefficient to obtain a second meteorological index commodity circulation coefficient set.

As an example, the execution subject may set { [ historical value reduction level: 3, preposition historical value reduction grade: 2, historical traffic: 140, pre-history traffic: 80, historical meteorological index rating: 3, preposition historical meteorological index grade: 2], [ historical value reduction level: 2, preposition historical value reduction grade: 3, historical traffic: 120, pre-history traffic: 120, historical weather index rating: 3, preposition historical meteorological index grade: 2] determining the ratio of the historical circulation amount included in each second weather index historical information to the previous historical circulation amount as a second weather index article circulation coefficient to obtain a second weather index article circulation coefficient set [7/4, 1 ].

And fifthly, generating a second weather index commodity circulation coefficient based on each first weather index commodity circulation coefficient in the first weather index commodity circulation coefficient set and each second weather index commodity circulation coefficient in the second weather index commodity circulation coefficient set. In practice, the execution subject may determine an average of the respective first meteorological index commodity circulation coefficients and the respective second meteorological index commodity circulation coefficients as a second commodity circulation coefficient.

As an example, the first weather index article circulation coefficient set may be [4/3, 9/4]]. The second set of weather index commodity circulation coefficients may be [7/4, 1%]. The execution subject may be 4/3]、[9/4]、[7/4]And [ 1]]Mean value of

Determined as the second commodity circulation coefficient.

Step 305, generating an item circulation coefficient based on the first item circulation coefficient and the second item circulation coefficient.

In some embodiments, the execution agent may generate an item circulation coefficient based on the first item circulation coefficient and the second item circulation coefficient. In practice, the execution body may generate the article circulation coefficient by the following formula:

。

wherein the content of the first and second substances,

representing the item circulation coefficient.

Representing the first article circulation coefficient.

Is shown as aboveAnd two article circulation coefficients.

As an example, the first article circulation coefficient may be

. The second commodity circulation coefficient may be

. Then

Is composed of

。

Is composed of

. The execution body can generate the commodity circulation coefficient through the following formula

。

The above formula and its related content are used as an invention point of the embodiment of the present disclosure, and the technical problem mentioned in the background art is solved, that is, the influence of the change of the meteorological index on the commodity circulation volume is not considered, which further causes the accuracy of the preset dispatching volume to be low, and further causes the dispatched commodities to be excessive and wastes the space resources of the delivery warehouse when the preset dispatching volume is high. ". The factors that lead to the waste of warehouse space resources are often as follows: the influence of the change of the meteorological index on the commodity circulation quantity is not considered, the accuracy of the preset scheduling quantity is further low, and the dispatched commodities are excessive when the preset scheduling quantity is high. If the above factors are solved, the effect of saving the space resources of the delivery warehouse can be achieved. To achieve this, the present disclosure introduces both a first commodity circulation coefficient and a second commodity circulation coefficient to determine the commodity circulation coefficient. Wherein the first commodity circulation factor is determined based on a change in circulation when the value reduction level changes. The second circulation coefficient is determined according to the change of the circulation amount when the meteorological index grade changes. The circulation coefficient is determined by the first circulation coefficient, the second circulation coefficient and the product of the first circulation coefficient and the second circulation coefficient in the formula, and the first circulation coefficient, the second circulation coefficient and the product can be used as forward adjustment factors of the circulation coefficient. The item circulation coefficient may increase as the forward adjustment factor increases. Thus, the determined commodity circulation coefficient is a quantitative representation of the effect of meteorological index changes on the quantity of commodity circulation. Therefore, more accurate article dispatching amount can be further dynamically determined according to the generated article circulation coefficient so as to dispatch articles. Thus, the number of times that the determined dispatched amount is high can be reduced, so that the number of times that the dispatched articles are excessive is reduced. Furthermore, the space resources of the delivery warehouse can be saved.

And step 306, generating an item adjustment quantity based on the preposed circulation quantity, the item circulation coefficient and the target stock of the target item.

And 307, controlling the associated item scheduling vehicle to execute item scheduling operation according to the item scheduling amount.

In some embodiments, the specific implementation and technical effects of steps 306-307 can refer to steps 203-204 in the embodiments corresponding to fig. 2, which are not described herein again.

As can be seen from fig. 3, the flow 300 of the vehicle dispatching method for the goods in some embodiments corresponding to fig. 3 embodies the steps expanded to generate the goods circulation coefficient, compared to the description of some embodiments corresponding to fig. 2. Therefore, the solutions described in the embodiments can further dynamically determine a more accurate item scheduling amount according to the generated item circulation coefficient, so as to perform item scheduling. Thus, the number of times that the determined dispatched amount is high can be reduced, so that the number of times that the dispatched articles are excessive is reduced. Furthermore, the space resources of the delivery warehouse can be saved.

With further reference to fig. 4, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a vehicle dispatching device for articles, which correspond to those of the method embodiments illustrated in fig. 2, which may be particularly applicable in various electronic devices.

As shown in fig. 4, a vehicle dispatching device 400 for an article of some embodiments includes: an acquisition unit 401, a first generation unit 402, a second generation unit 403, and a control unit 404. The obtaining unit 401 is configured to obtain a historical item information set of a target item, a target value reduction level, a forward value reduction level corresponding to the target value reduction level, and a forward traffic amount corresponding to the forward value reduction level, where the historical item information in the historical item information set includes: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow and the prepositive historical flow are obtained; the first generation unit 402 is configured to generate an item circulation coefficient based on the target value reduction level, the forward value reduction level, and a history value reduction level, a forward history value reduction level, a history circulation amount, and a forward history circulation amount included in each history item information in the history item information set; the second generating unit 403 is configured to generate an item adjustment amount based on the pre-staging amount, the item staging coefficient, and the target stock amount of the target item; the control unit 404 is configured to control the associated item scheduling vehicle to perform an item scheduling operation in accordance with the item scheduling amount described above.

In an optional implementation manner of some embodiments, before the obtaining unit 401, the vehicle dispatching device 400 for the article may further include: and the target meteorological index grade acquisition unit is configured to acquire a target meteorological index grade of the target object and a preposed meteorological index grade corresponding to the target meteorological index grade.

In an optional implementation manner of some embodiments, the historical item information in the historical item information set may further include: historical meteorological index grade, leading historical meteorological index grade.

In an optional implementation of some embodiments, the first generating unit 402 may be further configured to: generating a first commodity circulation coefficient based on the target value reduction grade, the preposed value reduction grade and the historical value reduction grade, the preposed historical value reduction grade, the historical circulation amount and the preposed historical circulation amount included in each historical commodity information in the historical commodity information set; generating a second commodity circulation coefficient based on the target weather index grade, the preposed weather index grade and the historical weather index grade, the preposed historical weather index grade, the historical circulation amount and the preposed historical circulation amount included in each historical commodity information in the historical commodity information set; and generating an article circulation coefficient based on the first article circulation coefficient and the second article circulation coefficient.

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 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; 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 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: acquiring a historical article information set, a target value reduction level, a front value reduction level corresponding to the target value reduction level and a front traffic amount corresponding to the front value reduction level of a target article, wherein the historical article information in the historical article information set comprises: the historical value reduction grade, the prepositive historical value reduction grade, the historical flow and the prepositive historical flow are obtained; generating an item circulation coefficient based on the target value reduction level, the front value reduction level and the historical value reduction level, the front historical value reduction level, the historical circulation amount and the front historical circulation amount included in each historical item information in the historical item information set; generating an article adjustment amount based on the preposed circulation amount, the article circulation coefficient and the target stock of the target article; and controlling the associated article dispatching vehicle to execute article dispatching operation according to the article dispatching amount.

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 acquisition unit, a first generation unit, a second generation 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 control unit may also be described as a "unit that controls the associated item scheduling vehicle to perform an item scheduling operation according to the above-mentioned item scheduling amount".

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

1. A vehicle dispatch method for an item, comprising:

acquiring a target weather index grade of a target article, a preposed weather index grade corresponding to the target weather index grade, a historical article information set of the target article, a target value reduction grade, a preposed value reduction grade corresponding to the target value reduction grade and a preposed traffic corresponding to the preposed value reduction grade, wherein the historical article information in the historical article information set comprises: the method comprises the steps of obtaining a historical value reduction grade, a preposed historical value reduction grade, a historical runoff quantity, a preposed historical runoff quantity, a historical meteorological index grade and a preposed historical meteorological index grade;

generating an item circulation coefficient based on the target value reduction level, the forward value reduction level and a historical value reduction level, a forward historical value reduction level, a historical circulation amount and a forward historical circulation amount included in each historical item information in the historical item information set, wherein the generating of the item circulation coefficient includes:

generating a first commodity circulation coefficient based on the target value reduction grade, the forward value reduction grade and the historical value reduction grade, the forward historical value reduction grade, the historical circulation amount and the forward historical circulation amount included in each historical commodity information in the historical commodity information set;

generating a second commodity circulation coefficient based on the target weather index grade, the preposed weather index grade and the historical weather index grade, the preposed historical weather index grade, the historical circulation amount and the preposed historical circulation amount included by each historical commodity information in the historical commodity information set;

generating an item circulation coefficient based on the first item circulation coefficient and the second item circulation coefficient;

generating an item transfer quantity based on the preposed transfer quantity, the item transfer coefficient and the target stock of the target item;

and controlling the associated item scheduling vehicle to execute the item scheduling operation according to the item scheduling amount.

2. The method of claim 1, wherein the generating a first item circulation coefficient comprises:

extracting historical item information with a historical value reduction grade equal to the target value reduction grade and a front historical value reduction grade equal to the front value reduction grade from the historical item information set as first value reduction historical information to obtain a first value reduction historical information set;

extracting historical item information with a historical value reduction grade equal to the front value reduction grade and a front historical value reduction grade equal to the target value reduction grade from the historical item information set to serve as second-value reduction historical information to obtain a second-value reduction historical information set;

determining the ratio of the forward historical flow and the historical flow included in each first value reduction historical information in the first value reduction historical information set as a first value reduction article flow coefficient to obtain a first value reduction article flow coefficient set;

determining the ratio of the historical flow quantity and the previous historical flow quantity included in each second value reduction historical information in the second value reduction historical information set as a second value reduction article flow coefficient to obtain a second value reduction article flow coefficient set;

generating a first item circulation coefficient based on each first value subtracted item circulation coefficient of the set of first value subtracted item circulation coefficients and each second value subtracted item circulation coefficient of the set of second value subtracted item circulation coefficients.

3. The method of claim 2, wherein the generating a first item circulation coefficient comprises:

determining a mean of the respective first value-reduced commodity circulation coefficients and the respective second value-reduced commodity circulation coefficients as first commodity circulation coefficients.

4. The method of claim 1, wherein the generating second commodity flow coefficients comprises:

extracting historical article information with a historical meteorological index grade equal to the target meteorological index grade and a front historical meteorological index grade equal to the front meteorological index grade from the historical article information set to serve as first meteorological index historical information, and obtaining a first meteorological index historical information set;

extracting historical item information with a historical meteorological index grade equal to the front meteorological index grade and a front historical meteorological index grade equal to the target meteorological index grade from the historical item information set to serve as second meteorological index historical information, and obtaining a second meteorological index historical information set;

determining the ratio of the preposed historical circulation amount and the historical circulation amount included by each piece of first meteorological index historical information in the first meteorological index historical information set as a first meteorological index commodity circulation coefficient to obtain a first meteorological index commodity circulation coefficient set;

determining the ratio of the historical circulation amount included in each second weather index historical information in the second weather index historical information set to the previous historical circulation amount as a second weather index commodity circulation coefficient to obtain a second weather index commodity circulation coefficient set;

generating a second commodity circulation coefficient based on each first meteorological index commodity circulation coefficient of the first set of meteorological index commodity circulation coefficients and each second meteorological index commodity circulation coefficient of the second set of meteorological index commodity circulation coefficients.

5. The method of claim 4, wherein the generating second commodity flow coefficients comprises:

determining the mean value of each first meteorological index commodity circulation coefficient and each second meteorological index commodity circulation coefficient as a second commodity circulation coefficient.

6. A vehicle dispatch device for an item, comprising:

an obtaining unit configured to obtain a target weather index level of a target item and a front weather index level corresponding to the target weather index level, and a historical item information set, a target value reduction level, a front value reduction level corresponding to the target value reduction level and a front traffic amount corresponding to the front value reduction level of the target item, wherein the historical item information in the historical item information set includes: the method comprises the steps of obtaining a historical value reduction grade, a preposed historical value reduction grade, a historical runoff quantity, a preposed historical runoff quantity, a historical meteorological index grade and a preposed historical meteorological index grade;

a first generation unit configured to generate an item circulation coefficient based on the target value reduction level, the previous value reduction level, and a historical value reduction level, a previous historical value reduction level, a historical circulation amount, and a previous historical circulation amount included in each historical item information in the historical item information set, wherein the generating of the item circulation coefficient includes:

a second generation unit configured to generate an item adjustment amount based on the lead circulation amount, the item circulation coefficient, and a target stock amount of the target item;

a control unit configured to control an associated item scheduling vehicle to perform an item scheduling operation in accordance with the item scheduling amount.

7. 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 1-5.

8. 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 1-5.