CN116151709A - Vehicle source information selection method, device, equipment and computer readable storage medium - Google Patents

Vehicle source information selection method, device, equipment and computer readable storage medium Download PDF

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CN116151709A
CN116151709A CN202111364087.7A CN202111364087A CN116151709A CN 116151709 A CN116151709 A CN 116151709A CN 202111364087 A CN202111364087 A CN 202111364087A CN 116151709 A CN116151709 A CN 116151709A
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陈凯
陈冠岭
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Nanjing Fuyou Online E Commerce Co ltd
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Abstract

The application discloses a vehicle source information selection method, device and equipment and a computer readable storage medium. The method comprises the following steps: acquiring a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, wherein the resource numerical fluctuation function is used for acquiring resource numerical fluctuation values of the target vehicle type transported in different dates; determining a target loading date of the target vehicle model transported according to the target transportation route from at least one candidate loading date based on the resource numerical fluctuation function and the first historical order; and selecting target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one piece of candidate vehicle source information. The method can realize automatic selection of the vehicle source information, and the efficiency of selecting the vehicle source information is higher.

Description

Vehicle source information selection method, device, equipment and computer readable storage medium
Technical Field
The embodiment of the application relates to the technical field of logistics, in particular to a vehicle source information selection method, device and equipment and a computer readable storage medium.
Background
In the technical field of logistics, a logistics platform selects vehicle source information according to goods source information issued by a supplier. And then, the logistics platform provides the selected vehicle source information for the supplier and provides the goods source information for a carrier corresponding to the vehicle source information, so that the supplier and the carrier can achieve a goods source transportation protocol based on the goods source information and the vehicle source information.
In the related art, the vehicle source information is manually selected. However, the manual selection of the vehicle source information is dependent on the mode, so that the labor cost is high and the selection efficiency is low.
Disclosure of Invention
The embodiment of the application provides a vehicle source information selection method, device and equipment and a computer readable storage medium, which can be used for solving the problems in the related art.
In a first aspect, an embodiment of the present application provides a method for selecting vehicle source information, where the method includes:
acquiring a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, wherein the resource numerical fluctuation function is used for acquiring resource numerical fluctuation values of the target vehicle type transported in different dates;
determining a target loading date of the target vehicle model for transportation according to a target transportation route from at least one candidate loading date based on the resource numerical fluctuation function and the first historical order;
and selecting target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one candidate vehicle source information.
In one possible implementation, the first historical order includes a historical loading date and a historical resource value of the target vehicle model for transportation along the target transportation route on the historical loading date;
The determining, based on the resource numerical fluctuation function and the first historical order, a target loading date for the target vehicle model to be transported according to a target transportation route from at least one candidate loading date, including:
for each candidate loading date of at least one candidate loading date, acquiring a first resource value fluctuation value transported by the target vehicle model on the candidate loading date and a second resource value fluctuation value transported by the target vehicle model on the historical loading date based on the resource value fluctuation function;
and based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, acquiring a candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date, and determining the target loading date of the target vehicle model transported according to the target transportation route according to the candidate resource value.
In one possible implementation manner, the obtaining the resource numerical fluctuation function corresponding to the target vehicle type includes:
acquiring at least one candidate resource numerical fluctuation function, wherein one candidate resource numerical fluctuation function corresponds to one vehicle type;
And acquiring a resource numerical fluctuation function corresponding to the target vehicle type in the at least one candidate resource numerical fluctuation function.
In one possible implementation, the obtaining at least one candidate resource numerical fluctuation function includes:
acquiring a plurality of second historical orders, wherein the second historical orders comprise historical vehicle types, historical loading dates, historical transportation lines and historical resource values, and the historical resource values are the historical resource values of the historical vehicle types transported according to the historical transportation lines on the historical loading dates;
for a plurality of second historical orders comprising the same historical vehicle model, acquiring a weighted variation ratio corresponding to the historical vehicle model based on the order quantity of the plurality of second historical orders, a plurality of historical transportation lines and a plurality of historical resource values, wherein the weighted variation ratio is used for indicating the variation of the resource values transported by the historical vehicle model on each historical loading date;
and acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the weighted fluctuation ratios corresponding to the historical vehicle types.
In one possible implementation manner, the obtaining the weighted variation ratio corresponding to the historical vehicle type based on the order number of the plurality of second historical orders, the plurality of historical transportation lines and the plurality of historical resource values includes:
Based on the order quantity of the plurality of second historical orders and the plurality of historical transportation lines, acquiring the order quantity ratio of the historical vehicle type transported on each historical loading date according to each historical transportation line;
based on the transportation mileage corresponding to the plurality of historical transportation lines, acquiring the transportation mileage ratio of the historical vehicle model transported according to the historical transportation lines on each historical loading date;
based on the plurality of historical resource values, acquiring the resource value change ratio of the historical vehicle model in each historical loading date according to the transportation of each historical transportation line;
and acquiring a weighted variation ratio of the historical vehicle model in transportation on each historical loading date based on the order quantity ratio, the transportation mileage ratio and the resource numerical value variation ratio.
In one possible implementation manner, the obtaining, based on the order quantity ratio, the transportation mileage ratio, and the resource numerical value change ratio, a weighted variation ratio of transportation of the historical vehicle model on the respective historical loading dates includes:
for each historical loading date, determining a resource numerical value influence coefficient of each historical transportation line based on the order quantity ratio and the transportation mileage ratio corresponding to each historical transportation line, wherein the resource numerical value influence coefficient is used for indicating the influence degree of the resource numerical value change ratio corresponding to each historical transportation line on the weighted change ratio of the historical vehicle type transportation on the historical loading date;
And acquiring the weighted change ratio of the historical vehicle type transportation on the historical loading date based on the resource numerical value influence coefficient of each historical transportation line and the resource numerical value change ratio of each historical transportation line.
In one possible implementation manner, the obtaining the candidate resource numerical fluctuation function corresponding to each historical vehicle model based on the weighted variation ratio corresponding to each historical vehicle model includes:
acquiring a third resource numerical fluctuation value of each historical vehicle type transported on each historical loading date based on a weighted fluctuation ratio corresponding to each historical vehicle type, wherein the third resource numerical fluctuation value is used for indicating resource numerical fluctuation of the historical vehicle types transported on a continuous reference number of historical loading dates;
and acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the third resource numerical fluctuation values.
In a second aspect, an embodiment of the present application provides a device for selecting vehicle source information, where the device includes:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, and the resource numerical fluctuation function is used for acquiring resource numerical fluctuation values of the target vehicle type transported in different dates;
A determining module, configured to determine, from at least one candidate loading date, a target loading date on which the target vehicle model is transported according to a target transportation route, based on the resource numerical fluctuation function and the first historical order;
and the selecting module is used for selecting the target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one piece of candidate vehicle source information.
In one possible implementation, the first historical order includes a historical loading date and a historical resource value of the target vehicle model for transportation along the target transportation route on the historical loading date; the determining module is used for acquiring a first resource numerical fluctuation value transported by the target vehicle model on the candidate loading date and a second resource numerical fluctuation value transported by the target vehicle model on the historical loading date for each candidate loading date in at least one candidate loading date based on the resource numerical fluctuation function; and based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, acquiring a candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date, and determining the target loading date of the target vehicle model transported according to the target transportation route according to the candidate resource value.
In one possible implementation manner, the obtaining module is configured to obtain at least one candidate resource numerical fluctuation function, where one candidate resource numerical fluctuation function corresponds to one vehicle type; and acquiring a resource numerical fluctuation function corresponding to the target vehicle type in the at least one candidate resource numerical fluctuation function.
In a possible implementation manner, the acquiring module is configured to acquire a plurality of second historical orders, where the second historical orders include a historical vehicle model, a historical loading date, a historical transportation line, and a historical resource value, and the historical resource value is a historical resource value of the historical vehicle model transported according to the historical transportation line on the historical loading date; for a plurality of second historical orders comprising the same historical vehicle model, acquiring a weighted variation ratio corresponding to the historical vehicle model based on the order quantity of the plurality of second historical orders, a plurality of historical transportation lines and a plurality of historical resource values, wherein the weighted variation ratio is used for indicating the variation of the resource values transported by the historical vehicle model on each historical loading date; and acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the weighted fluctuation ratios corresponding to the historical vehicle types.
In a possible implementation manner, the acquiring module is configured to acquire, based on the order numbers of the plurality of second historical orders and the plurality of historical transportation lines, an order number ratio of the historical vehicle types transported according to each historical transportation line on each historical loading date; based on the transportation mileage corresponding to the plurality of historical transportation lines, acquiring the transportation mileage ratio of the historical vehicle model transported according to the historical transportation lines on each historical loading date; based on the plurality of historical resource values, acquiring the resource value change ratio of the historical vehicle model in each historical loading date according to the transportation of each historical transportation line; and acquiring a weighted variation ratio of the historical vehicle model in transportation on each historical loading date based on the order quantity ratio, the transportation mileage ratio and the resource numerical value variation ratio.
In one possible implementation manner, the obtaining module is configured to determine, for each historical loading date, a resource numerical influence coefficient of each historical transportation line based on an order quantity ratio and a transportation mileage ratio corresponding to the historical transportation line, where the resource numerical influence coefficient is used to indicate an influence degree of a resource numerical change ratio corresponding to each historical transportation line on a weighted change ratio of transportation of the historical vehicle model on the historical loading date; and acquiring the weighted change ratio of the historical vehicle type transportation on the historical loading date based on the resource numerical value influence coefficient of each historical transportation line and the resource numerical value change ratio of each historical transportation line.
In a possible implementation manner, the obtaining module is configured to obtain, based on a weighted variation ratio corresponding to each historical vehicle model, a third resource numerical fluctuation value of each historical vehicle model transported on each historical loading date, where the third resource numerical fluctuation value is used to indicate resource numerical fluctuation of each historical vehicle model transported on a continuous reference number of historical loading dates; and acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the third resource numerical fluctuation values.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes a processor and a memory, where at least one program code or instruction is stored in the memory, where the at least one program code or instruction is loaded and executed by the processor, so that the electronic device implements the method for selecting vehicle source information in the foregoing first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, there is also provided a computer readable storage medium having stored therein at least one program code or instruction loaded and executed by a processor to cause a computer to implement the method for selecting vehicle source information in the first aspect or any one of the possible implementation manners of the first aspect.
In a fifth aspect, there is also provided a computer program or computer program product having stored therein at least one computer instruction that is loaded and executed by a processor to cause the computer to implement the method for selecting vehicle source information in any one of the possible implementations of the first aspect or the first aspect.
The technical scheme provided by the embodiment of the application at least brings the following beneficial effects:
according to the technical scheme provided by the embodiment of the application, the target loading date can be automatically determined from at least one candidate loading date by acquiring the resource numerical fluctuation function corresponding to the target vehicle type and the historical order corresponding to the target vehicle type; and then, the target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type is automatically selected from the candidate vehicle source information, and the selection efficiency of the vehicle source information is higher.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an implementation environment schematic diagram of a vehicle source information selection method provided in an embodiment of the present application;
fig. 2 is a flowchart of a method for selecting vehicle source information according to an embodiment of the present application;
FIG. 3 is a flowchart of another method for selecting vehicle source information according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a vehicle source information selecting device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 6 is a schematic diagram of a server according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The terms first, second and the like in the description, in the claims and in the drawings, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the present application described herein may be capable of being practiced otherwise than as specifically illustrated and described.
Fig. 1 is a schematic implementation environment diagram of a vehicle source information selection method provided in an embodiment of the present application, where, as shown in fig. 1, the implementation environment includes: an information center 101 and a terminal device 102. The information center 101 may be in communication connection with the terminal device 102 via a wired network or a wireless network.
The information center 101 may be a server, and the server may be one server or a server cluster formed by a plurality of servers; the information center 101 may also be a terminal device, where the terminal device may include at least one of a notebook computer, a desktop computer, a smart phone, a tablet computer, a smart speaker, and a smart robot; the information center 101 may also be at least one of a cloud computing platform and a virtualization center, which is not limited by the embodiments of the present application. Illustratively, the method for selecting the vehicle source information in the embodiment of the present application may be performed by the information center 101.
It should be noted that the number of the information centers 101 may be more or less, which is not limited in the embodiment of the present application. The information center 101 may have functions of data processing, data storage, data transmission and reception, and the like, and is not limited in the embodiment of the present application. Of course, the information center 101 may also include other functions to provide more comprehensive and diverse services.
The terminal device 102 may include at least one of a notebook computer, a desktop computer, a smart phone, a tablet computer, a smart speaker, and a smart robot. The terminal device 102 is illustratively configured to receive the target vehicle source information sent by the information center 101.
The terminal device 102 may refer broadly to one of a plurality of terminal devices, with the embodiments of the present application being illustrated only by the terminal device 102. Those skilled in the art will appreciate that the number of terminal devices 102 may be greater or lesser. For example, the number of the terminal devices 102 may be only one, or the number of the terminal devices 102 may be tens or hundreds, or more, and the number and the device types of the terminal devices 102 are not limited in the embodiment of the present application.
Based on the implementation environment shown in fig. 1, the embodiment of the application provides a vehicle source information selection method. Fig. 2 is a flowchart of a method for selecting vehicle source information according to an embodiment of the present application, and an information center 101 executes the method for selecting vehicle source information according to the present application is taken as an example. As shown in fig. 2, the method includes, but is not limited to, the following 201 to 203.
201, acquiring a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, wherein the resource numerical fluctuation function is used for acquiring resource numerical fluctuation values of the target vehicle type transported in different dates.
In one possible implementation manner, before the first historical order corresponding to the target vehicle type and the resource numerical fluctuation function corresponding to the target vehicle type are obtained, the method further includes: and acquiring the target vehicle type, the target transportation route, at least one candidate loading date and at least one candidate vehicle source information.
For example, the vehicle model is determined based on the vehicle length. For example, the vehicle model includes a 4.5 meter vehicle model, a 9.6 meter vehicle model, and a 17.5 meter vehicle model. It should be noted that the vehicle type may be determined according to other information, for example, the load capacity of the vehicle. The embodiments of the present application are not limited in this regard.
Illustratively, obtaining a target vehicle model, a target haul route, and at least one candidate loading date includes: acquiring cargo source information and a current date, wherein the cargo source information comprises a target vehicle type, a target transportation line and a reference loading date; the date of each day of the reference loading date from the current date and the reference loading date are determined as candidate loading dates. For example, in response to the current date being the same as the reference loading date, the number of candidate loading dates is one; the number of candidate load dates is a plurality in response to the current date being different from the reference load date. Illustratively, acquiring the source information includes: acquire the source information entered by the user or receive the source information sent by the user through the terminal device 102. It should be noted that, the source information may also include other information, which is not limited in this embodiment of the present application.
Illustratively, obtaining at least one candidate vehicle source information includes: at least one candidate vehicle source information stored in the information center 101 is acquired, or at least one candidate vehicle source information sent by other devices is received. Illustratively, the candidate source information includes a vehicle type, an offload date, and an offload address. It should be noted that, the candidate vehicle source information may also include other information, which is not limited in this embodiment of the present application.
In one possible implementation manner, after the target vehicle type is acquired, an operation of acquiring a first historical order corresponding to the target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type is performed.
Illustratively, obtaining a first historical order corresponding to the target vehicle model includes: according to the target vehicle type, acquiring a historical order corresponding to the target vehicle type as a first historical order corresponding to the target vehicle type. Illustratively, the first historical order includes a historical loading date and a historical resource value for the target vehicle model to be transported along the target transportation route at the historical loading date. It should be noted that, since the supplier and the carrier can reach an agreement according to the source information to form a corresponding order, after the freight task in the order is completed, the information center 101 can store the order as a historical order, so that the historical order will include relevant information in the source information. Of course, the first historical order may also include other information, which is not limited in this embodiment of the present application.
In one possible implementation manner, the information center 101 stores a plurality of historical orders, and according to a target vehicle type, obtains a historical order corresponding to the target vehicle type as a first historical order corresponding to the target vehicle type, including: according to the target vehicle type, acquiring a history order corresponding to the target vehicle type in the stored plurality of history orders as a first history order corresponding to the target vehicle type. In another possible implementation manner, the historical orders are stored in other devices, and according to a target vehicle type, the historical orders corresponding to the target vehicle type are obtained as a first historical order corresponding to the target vehicle type, including: and sending a request for acquiring the historical orders corresponding to the target vehicle type to the other equipment, and receiving the historical orders corresponding to the target vehicle type, which are sent by the other equipment in response to the request, as a first historical order corresponding to the target vehicle type.
In one possible implementation, the resource numerical fluctuation function corresponding to the target vehicle type is obtained, including but not limited to 2011 and 2012.
2011, at least one candidate resource numerical fluctuation function is obtained, and one candidate resource numerical fluctuation function corresponds to one vehicle type.
Illustratively, the obtaining at least one candidate resource value fluctuation function includes, but is not limited to, 20111 through 20113.
20111, a plurality of second historical orders are acquired.
The second historical order includes, for example, a historical vehicle model, a historical loading date, a historical transportation line, and a historical resource value, wherein the historical resource value is a historical resource value of the historical vehicle model transported according to the historical transportation line on the historical loading date. Illustratively, the historical vehicle model includes a target vehicle model.
In some embodiments, the historical transportation route is direct route information, such as from a city of first to a city of second. In other embodiments, the historical shipping route is route information determined from a load address and an unload address included with the second historical order. For example matching a load address, an unload address and a plurality of reference areas; a historical transportation route is determined based on the reference area that successfully matches the load address and the reference area that matches the unload address. Illustratively, in response to the load address being within the reference region, the load address successfully matches the reference region; and in response to the uninstall address being located in the reference area, successfully matching the uninstall address with the reference area. For example, the multiple reference areas include a first city and a second city, the loading address is a first city and the unloading address is a second city, and if the loading address is successfully matched with the first city of the reference area, the unloading address is successfully matched with the second city of the reference area, and the historical transportation line is from the first city to the second city.
In one possible implementation, obtaining a plurality of second historical orders includes: a reference number of second historical orders is obtained. The reference number may be set according to experience or actual requirements, which is not limited in the embodiments of the present application. For example, the information center 101 stores a plurality of history orders, and acquires a plurality of second history orders, including: all of the history orders stored in the information center 101 are acquired as a plurality of second history orders. It should be noted that, the plurality of historical vehicle types included in the plurality of second historical orders may be a plurality of historical vehicle types, or only the target vehicle type, where the target vehicle type may be any vehicle type of the plurality of historical vehicle types. Since the plurality of second history orders may include a plurality of history models, operations corresponding to each of the plurality of history models may be performed subsequently, for example, for each history model, information in the second history orders corresponding to the history model may be acquired.
In another possible implementation, obtaining the plurality of second historical orders includes: according to the target vehicle type, a plurality of historical orders corresponding to the target vehicle type are obtained, and the plurality of historical orders corresponding to the target vehicle type are used as a plurality of second historical orders. It should be noted that, the method for acquiring the plurality of second historical orders is the same as the related process principle of acquiring the first historical orders corresponding to the target vehicle type, and will not be described herein.
20112, for a plurality of second historical orders comprising the same historical vehicle model, based on the order quantity of the plurality of second historical orders, the plurality of historical transportation lines and the plurality of historical resource values, acquiring a weighted change ratio corresponding to the historical vehicle model, wherein the weighted change ratio is used for indicating the change of the resource values transported by the historical vehicle model on each historical loading date.
In an exemplary embodiment, when the acquired second historical order includes a plurality of historical vehicle types, for any one of the plurality of historical vehicle types, the order number, the plurality of historical transportation lines, and the plurality of historical resource values of the plurality of second historical orders for acquiring the weighted variation ratio corresponding to the any one of the plurality of historical vehicle types are all for the plurality of second historical orders including the any one of the plurality of historical vehicle types. That is, for any one of the historical vehicle types, the 20112 includes: and acquiring a weighted change ratio corresponding to the any historical vehicle type based on the order quantity of the plurality of second historical orders comprising the any historical vehicle type, the historical transportation line included in each of the plurality of second historical orders comprising the any historical vehicle type and the plurality of historical resource values included in each of the plurality of second historical orders comprising the any historical vehicle type.
In some embodiments, when the plurality of second historical orders include a plurality of historical vehicle types, 20112 includes performing an operation of acquiring a weighted variation ratio corresponding to the historical vehicle type for each of the plurality of second historical orders including the same historical vehicle type, that is, performing 20112 will acquire a weighted variation ratio corresponding to each of the plurality of historical vehicle types when the plurality of second historical orders include a plurality of historical vehicle types. It should be noted that, in the embodiment of the present application, the order of obtaining the weighted variation ratios corresponding to each historical vehicle model is not limited, and the operation of obtaining the weighted variation ratios corresponding to each historical vehicle model may be performed simultaneously, or the operation of obtaining the weighted variation ratio corresponding to one historical vehicle model may be performed first, and then the operation of obtaining the weighted variation ratios corresponding to other historical vehicle models may be performed.
In other embodiments, in the case where the plurality of second historical orders includes only the target vehicle type, the plurality of second historical orders are second historical orders including the same historical vehicle type, the 20112 includes: and for the second historical order comprising the target vehicle type, acquiring the weighted variation ratio corresponding to the target vehicle type, namely executing 20112 to only acquire the weighted variation ratio corresponding to the target vehicle type.
When the acquired second historical orders include a plurality of historical vehicle types, the operation of acquiring the weighted variation ratio corresponding to each historical vehicle type may be performed for each historical vehicle type, and the acquiring principle of the weighted variation ratio corresponding to each historical vehicle type is the same. Next, a process of acquiring a weighted fluctuation ratio corresponding to one historical vehicle model will be described as an example, and when there are a plurality of historical vehicle models, the acquiring process is executed for each historical vehicle model to acquire the weighted fluctuation ratio corresponding to each historical vehicle model. Illustratively, a weighted variation ratio corresponding to the historical vehicle model is obtained based on the order quantity of the plurality of second historical orders, the plurality of historical transportation lines and the plurality of historical resource values, including but not limited to 1-1 to 1-4.
1-1, based on the order numbers of the plurality of second historical orders and the plurality of historical transportation lines, obtaining the order number ratio of the historical vehicle model transported on each historical loading date according to each historical transportation line.
Illustratively, the respective historical loading dates are historical loading dates included in respective ones of the plurality of second historical orders, and the respective historical transportation routes are respective ones of the plurality of historical transportation routes.
In one possible implementation, the 1-1 includes: based on the order quantity of the plurality of second historical orders and the plurality of historical transportation lines, acquiring the sum of the order quantity transported by the historical vehicle model on each historical loading date and the order quantity transported by the historical vehicle model on each historical loading date according to each historical transportation line; for each historical loading date, determining the ratio of the number of orders transported by the historical vehicle model on the historical loading date according to each historical transportation line to the sum of the number of orders transported by the historical vehicle model on the historical loading date as the number ratio of orders transported by the historical vehicle model on the historical loading date according to each historical transportation line respectively.
That is, for any one of the history loading dates and any one of the history transportation routes, the ratio of the number of orders transported by the history vehicle type on the any one of the history loading dates according to the any one of the history transportation routes is a ratio of the number of orders transported by the history vehicle type on the any one of the history loading dates according to the any one of the history transportation routes to the sum of the number of orders transported by the history vehicle type on the any one of the history loading dates.
Illustratively, based on the order numbers of the plurality of second historical orders and the plurality of historical transportation routes, the order number ratio of the historical vehicle model for transportation by each historical transportation route on each historical loading date is obtained according to the following formula 1:
Figure BDA0003360267290000101
wherein i=1, 2, …, n; j=1, 2, …, d; n is the number of historical loading dates, d is the number of historical transportation lines, wc k,i,j CNT is used for the order quantity ratio of the historical vehicle model k transported according to the jth historical transportation route on the ith historical loading date k,i,j The number of orders transported according to the jth historical transportation route on the ith historical loading date for the historical vehicle model k.
For example, the historical vehicle model was a 4.5 meter vehicle model, the historical loading dates included 2021, 1 month, 2 days, 2021, 1 month, 3 days, 2021, and the historical transportation routes included a route, B route, C route, D route, and E route, and the number of orders transported by each historical transportation route at each historical loading date was as shown in table 1.
TABLE 1
Figure BDA0003360267290000102
As can be seen from the contents of Table 1, for 1 month and 1 day 2021, the order quantity ratio of the A line is 8/20, the order quantity ratio of the B line is 2/20, the order quantity ratio of the C line is 1/20, the order quantity ratio of the D line is 0/20, and the order quantity ratio of the E line is 9/20. The order quantity ratio of the historical vehicle model transported by each historical transportation route on other historical loading dates in table 1 is the same as the order quantity ratio acquiring principle, and is not repeated here. It should be noted that the historical loading date, the historical transportation route and the order number in table 1 are merely examples of the embodiments of the present application, and the embodiments of the present application are not limited thereto.
Illustratively, the method further comprises, prior to obtaining the historical vehicle model at each historical loading date in accordance with the order quantity ratio for each historical transportation route: and processing the number of orders transported by the historical vehicle model on each historical loading date according to each historical transportation line according to the sparse threshold, and executing the operation of acquiring the order number ratio of the historical vehicle model transported by each historical transportation line on each historical loading date based on the processed number of orders.
Illustratively, processing the number of orders transported by the historical vehicle model on each historical loading date according to each historical transportation route according to the sparse threshold includes: comparing the number of orders transported by the historical vehicle model on each historical loading date according to each historical transportation line with a sparse threshold; for each historical loading date and each historical transportation line, returning the historical vehicle model to zero according to the number of orders transported by the historical transportation line on the historical loading date in response to the number of orders transported by the historical vehicle model by the historical transportation line on the historical loading date being smaller than a sparse threshold; and responding to the historical vehicle type, wherein the number of orders transported by the historical transportation line on the historical loading date is not smaller than a sparse threshold value, and the number of orders transported by the historical vehicle type on the historical loading date according to the historical transportation line is kept unchanged. It should be noted that the sparse threshold may be set according to experience or actual requirements, which is not limited in the embodiments of the present application.
For example, still referring to the historical loading date, the historical transportation route, and the number of orders shown in table 1, the number of orders processed is shown in table 2 with a sparsity threshold of 2.
TABLE 2
Figure BDA0003360267290000111
It can be seen from the contents of Table 2 that for 1 month 1 of 2021, the order quantity ratio of the A line is 8/19, the order quantity ratio of the B line is 2/19, the order quantity ratio of the C line is 0/19, the order quantity ratio of the D line is 0/19, and the order quantity ratio of the E line is 9/19. The order quantity ratio of the historical vehicle type according to each historical transportation route on other historical loading dates in table 2 is the same as the order quantity ratio acquiring principle, and is not repeated here.
Since the number of orders of a historical vehicle model transported according to a historical transportation route on a historical loading date is smaller for the historical orders of the historical vehicle model corresponding to the historical loading date, the influence of the number of orders of the historical transportation route on the sum of the numbers of orders of the historical vehicle model transported on the historical loading date is smaller. By processing the historical vehicle model according to the sparse threshold and returning the order quantity of the historical vehicle model smaller than the sparse threshold to zero according to the order quantity of the historical vehicle model transported by each historical transportation route on each historical loading date, the efficiency of subsequently acquiring the weighted change ratio corresponding to the historical vehicle model can be improved, and the efficiency of acquiring the candidate resource numerical fluctuation function corresponding to the historical vehicle model is further improved.
1-2, based on the transportation mileage corresponding to the plurality of historical transportation lines, obtaining the transportation mileage ratio of the historical vehicle model transported according to each historical transportation line on each historical loading date.
In one possible implementation, the transportation mileage corresponding to the historical transportation route is the transportation mileage transported according to the historical transportation route. Exemplary, based on the transportation mileage corresponding to the plurality of historical transportation routes, obtaining the transportation mileage ratio of the historical vehicle model transported according to each historical transportation route on each historical loading date includes: acquiring the sum of the transportation mileage of the historical vehicle model transported on each historical loading date and the transportation mileage of the historical vehicle model transported on each historical loading date according to each historical transportation route; and for each historical loading date, determining the ratio of the transportation mileage of the historical vehicle model transported on the historical loading date according to each historical transportation route to the total transportation mileage of the historical vehicle model transported on the historical loading date as the transportation mileage ratio of the historical vehicle model transported on the historical loading date according to each historical transportation route.
That is, for any one of the history loading dates and any one of the history transportation routes, the transportation mileage ratio of the history vehicle model transported according to the any one of the history transportation routes at the any one of the history loading dates is a ratio of the transportation mileage of the history vehicle model transported according to the any one of the history loading dates to the sum of the transportation mileage of the history vehicle model transported according to the any one of the history transportation routes at the any one of the history loading dates.
In one possible implementation manner, based on the transportation mileage corresponding to the plurality of historical transportation lines, the transportation mileage ratio of the historical vehicle model transported according to each historical transportation line on each historical loading date is obtained according to the following formula 2:
Figure BDA0003360267290000121
wherein i=1, 2, …, n; j=1, 2, …, d; n is the number of historical loading dates, d is the number of historical transportation routes, wd k,i,j The DIS is used for the transmission mileage ratio of the historical vehicle model k to be transmitted according to the jth historical transmission line on the ith historical loading date k,i,j And (5) transporting mileage for the historical vehicle type k according to the j-th historical transportation route on the i-th historical loading date.
In another possible implementation manner, based on the transportation mileage corresponding to the plurality of historical transportation routes, the transportation mileage ratio of the historical vehicle model transported according to each historical transportation route on each historical loading date is obtained according to the following formula 3:
Figure BDA0003360267290000131
wherein i=1, 2, …, n; j=1, 2, …, d; n is the number of historical loading dates, d is the number of historical transportation routes, wd k,i,j The DIS is used for the transmission mileage ratio of the historical vehicle model k to be transmitted according to the jth historical transmission line on the ith historical loading date k,i,j According to the j th calendar on the i th historical loading date for the historical vehicle model k Log represents the log operation, e is a natural constant. E=2.71828. The method is flexible in mode of acquiring the transportation mileage ratio.
In one possible implementation manner, obtaining the transportation mileage of the historical vehicle model transported on each historical loading date according to each historical transportation route includes: and acquiring the transportation mileage of the historical vehicle model transported according to each historical transportation route on each historical loading date based on the navigation information of the historical vehicle model transported according to each historical transportation route on each historical loading date.
In another possible implementation manner, obtaining the transportation mileage of the historical vehicle model transported according to each historical transportation route on each historical loading date includes: acquiring actual mileage of the historical vehicle model transported on each historical loading date according to each historical transportation route; and based on the actual mileage, acquiring the transportation mileage of the historical vehicle model transported on each historical loading date according to each historical transportation route. In response to the historical vehicle model having a plurality of actual mileage transported by the same historical transportation route on the same historical loading date, an average of the plurality of actual mileage is determined as a transportation mileage of the historical vehicle model transported by the historical transportation route on the historical loading date. The actual mileage is, for example, an actual mileage generated when the historical vehicle model is transported along a historical transportation route. Since a second historical order may include a historical shipping route, a second historical order may correspond to an actual mileage.
Still referring to table 1 as an example, the historical vehicle model is a 4.5 meter vehicle model, the number of orders of the historical vehicle model transported according to the line a in 1 month 1 of 2021 is 8, wherein 1 order corresponds to 1 actual mileage, and the average value of the 8 actual mileage can be determined as the transportation mileage of the historical vehicle model transported according to the line a in 1 month 1 of 2021. It should be noted that, in the case that the historical vehicle model has a plurality of actual mileage transported according to the same historical transportation route on the same historical loading date, the transportation mileage transported by the historical vehicle model according to the historical transportation route on the historical loading date may also be determined in other manners. For example, a maximum value of the plurality of actual mileage is determined as the transportation mileage. The method is flexible in a mode of acquiring the transportation mileage of the historical vehicle model on each historical loading date according to each historical transportation route.
1-3, based on the plurality of historical resource values, obtaining the resource value change ratio of the historical vehicle model transported on each historical loading date according to each historical transportation route.
In one possible implementation manner, based on the plurality of historical resource values, obtaining a resource value change ratio of the historical vehicle model transported on each historical loading date according to each historical transportation route includes: acquiring historical resource values of the historical vehicle model transported on each historical loading date according to each historical transportation route; and for the same historical transportation line, acquiring the ratio of the historical resource value of the historical vehicle model transported according to the historical transportation line on each historical loading date to the historical resource value of the historical vehicle model transported according to the historical transportation line on the day before each historical loading date.
That is, for any one of the history loading dates and any one of the history transportation routes, the history model is a ratio of a change ratio of a resource value transported by the history model on the any one of the history loading dates according to the any one of the history transportation routes to a history resource value transported by the history model on the any one of the history loading dates according to the any one of the history transportation routes on the day before the any one of the history loading dates.
In one possible implementation, based on the plurality of historical resource values, a resource value change ratio of the historical vehicle model transported on each historical loading date according to each historical transportation route is obtained according to the following formula 4:
Figure BDA0003360267290000141
wherein PT k,1,j =1; i=1, 2, …, n; j=1, 2, …, d; n is the number of historical loading dates, d is the number of historical transportation lines, PT k,i+1,j The change ratio of the resource numerical value transported by the jth historical transportation route on the (i+1) th historical loading date for the historical vehicle model k, p k,i,j Historical resource values of the jth historical transportation route are used for the historical vehicle model k on the ith historical loading date.
In one possible implementation manner, obtaining the historical resource value of the historical vehicle model transported on each historical loading date according to each historical transportation route includes: for historical resource values of the historical vehicle model transported according to each historical transportation line on each historical loading date, in response to the historical vehicle model having a plurality of historical resource values transported according to the same transportation line on the same historical loading date, determining the median of the plurality of historical resource values as the historical resource value of the historical vehicle model transported according to the historical transportation line on the historical loading date. When the historical vehicle model has a plurality of historical resource values transported by the same transportation route on the same historical loading date, any one of the maximum value, the minimum value, or the average value of the plurality of historical resource values may be determined as the historical resource value of the historical vehicle model transported by the historical transportation route on the historical loading date, which is not limited in the embodiment of the present application.
It should be noted that 1-1 to 1-3 may be executed simultaneously, or one step may be executed first, and then the other two steps may be executed, and the execution sequence of 1-1 to 1-3 is not limited in this application.
1-4, based on the order quantity ratio, the transportation mileage ratio and the resource numerical value change ratio, obtaining a weighted change ratio of the transportation of the historical vehicle model on each historical loading date.
The order quantity ratio is the order quantity ratio of the historical vehicle model transported according to each historical transportation route on each historical loading date, the transportation mileage ratio is the transportation mileage ratio of the historical vehicle model transported according to each historical transportation route on each historical loading date, and the resource data change ratio is the resource numerical value change ratio of the historical vehicle model transported according to each historical transportation route on each historical loading date.
In one possible implementation, the 1-4 includes: for each historical loading date, determining a resource numerical value influence coefficient of each historical transportation line based on the order quantity ratio and the transportation mileage ratio corresponding to each historical transportation line, wherein the resource numerical value influence coefficient is used for indicating the influence degree of the resource numerical value change ratio corresponding to each historical transportation line on the weighted change ratio of the historical vehicle model transportation on the historical loading date; and acquiring the weighted change ratio of the historical vehicle model transported on the historical loading date based on the resource numerical value influence coefficient of each historical transportation line and the resource numerical value change ratio of each historical transportation line. For example, for any one of the historical loading dates and any one of the historical transportation routes, the greater the resource value influence coefficient of the any one historical transportation route is, the greater the influence degree of the resource value change corresponding to the any one historical transportation route is on the weighted change ratio of the historical vehicle model transported on the historical loading date is; the smaller the resource value influence coefficient of any one of the historical transportation lines is, the smaller the influence of the resource value change ratio corresponding to the any one of the historical transportation lines on the weighted change ratio of the historical vehicle type transportation on the historical loading date is.
In one possible implementation, based on the order quantity ratio, the transportation mileage ratio, and the resource value change ratio, a weighted variation ratio of transportation of the historical vehicle model on each historical loading date is obtained according to the following formula 5:
Figure BDA0003360267290000151
wherein i=1, 2, …, n; j=1, 2, …, d; n is the number of historical loading dates, d is the number of historical transportation routes, PW k,i For the weighted change ratio, wc, of historical model k transported on the ith historical loading date k,i,j Transported according to the jth historical transportation route on the ith historical loading date for the historical vehicle model kOrder quantity ratio, wd k,i,j Transport mileage ratio, PT, of historical vehicle model k transported according to the jth historical transport route on the ith historical loading date k,i,j And (5) according to the resource numerical value change ratio of the j-th historical transportation route transportation on the ith historical loading date for the historical vehicle model k.
Illustratively, in equation 5,
Figure BDA0003360267290000152
for the historical vehicle model k and the ith historical loading date, the resource numerical value of the jth historical transportation route influences the coefficient.
20113, acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the weighted fluctuation ratios corresponding to the historical vehicle types.
Because the weighted variation ratio corresponding to each historical vehicle type can be obtained in 20112, for each historical vehicle type, the candidate resource numerical fluctuation function corresponding to the historical vehicle type can be obtained based on the weighted variation ratio corresponding to the historical vehicle type. Illustratively, the 20113 includes, but is not limited to, 2-1 and 2-2.
2-1, based on the weighted variation ratio corresponding to each historical vehicle model, obtaining a third resource value fluctuation value of each historical vehicle model transported on each historical loading date, wherein the third resource value fluctuation value is used for indicating fluctuation of resource values transported by the historical vehicle model on the continuous reference number of historical loading dates.
In one possible implementation manner, based on the weighted variation ratio corresponding to each historical vehicle model, a third resource numerical fluctuation value of each historical vehicle model transported on each historical loading date is obtained according to the following formula 6:
Figure BDA0003360267290000161
wherein y is k,i For the third resource numerical fluctuation value transported by the historical vehicle model k on the ith historical loading date, t is the reference days, and PW k,i The weighted variation ratio for the historical vehicle model k for transportation on the ith historical loading date. That is, the historical vehicle model k is at the firstThe third resource value fluctuation value of the i historical loading date transportation is obtained by multiplying the weighted fluctuation ratio of the historical vehicle model k in the ith-t date transportation to the weighted fluctuation ratio of the historical vehicle model k in the ith historical loading date transportation. It should be noted that the reference days may be set according to experience or actual requirements, which is not limited in the embodiments of the present application.
In another possible implementation manner, based on the weighted variation ratio corresponding to each historical vehicle model, a third resource numerical fluctuation value of each historical vehicle model transported on each historical loading date is obtained according to the following formula 7 and formula 8:
Figure BDA0003360267290000162
/>
Figure BDA0003360267290000163
wherein z is k,i For the initial fluctuation value of the historical vehicle model k transported on the ith historical loading date, t is the reference days, PW k,i For the weighted variation ratio of the historical vehicle model k transported on the ith historical loading date, y k,i And (3) transporting a third resource numerical fluctuation value for the historical vehicle model k on the ith historical loading date, wherein alpha is a constant. It should be noted that, the reference days t and the constant α may be set according to experience or actual requirements, which is not limited in the embodiment of the present application. Illustratively, α is a constant between 0 and 1. For example, α is 0.6. The method is flexible in a mode of acquiring the third resource numerical fluctuation value of each historical vehicle model transported on each historical loading date.
2-2, acquiring candidate resource numerical fluctuation functions corresponding to each historical vehicle type based on the third resource numerical fluctuation value.
In one possible implementation manner, based on the third resource value fluctuation value, a candidate resource value fluctuation function corresponding to each historical vehicle model is obtained by adopting least square fitting. Illustratively, for each historical vehicle model, the vehicle model is based on the historical vehicle model in a continuous mode And fitting a p-order curve by using a least square method according to the third resource value fluctuation values transported by m historical loading dates, and taking the p-order curve obtained by fitting as a candidate resource value fluctuation function corresponding to the historical vehicle model. It should be noted that, since there may be a plurality of history loading dates, a third resource numerical fluctuation value of the historical vehicle model transported on a plurality of continuous history loading dates may be obtained, where the more the number of continuous history loading dates, the more accurate the candidate resource numerical fluctuation function corresponding to the historical vehicle model obtained by least square fitting. In addition, m and p may be set according to experience or demand, which is not limited in the embodiments of the present application. For example, fitting a 2-order curve f (x) =ax using the least squares method 2 +bx+c, or fitting a 3-order curve f (x) =ax 3 +bx 2 +cx+d。
Illustratively, m is 5 and p is 2. The third resource value fluctuation values for 9.6 meter model and 17.5 meter model transported on each of the historic loading dates can be shown in table 3.
TABLE 3 Table 3
Figure BDA0003360267290000171
Taking a candidate resource numerical fluctuation function corresponding to a 9.6 m vehicle model as an example for explanation, based on a third resource numerical fluctuation value transported by the 9.6 m vehicle model from 2021, 3, month, 11 days to 2021, 3, month, 15 days, an equation set comprising 5 polynomials is obtained as follows:
Figure BDA0003360267290000172
/>
Solving for a, b, c using least squares, taking the a, b, c into f (x) =ax 2 And obtaining a candidate resource numerical fluctuation function corresponding to the 9.6 m vehicle type from the +bx+c. It should be noted that, the principle of acquiring the candidate resource numerical value fluctuation function corresponding to other historical vehicle types is the same as the related process principle of acquiring the candidate resource numerical value fluctuation function corresponding to the 9.6 meter vehicle type, and is not repeated here.
2012, obtaining a resource numerical fluctuation function corresponding to the target vehicle type in at least one candidate resource numerical fluctuation function.
Since in 2011, the acquired plurality of second historical orders may include a plurality of or only the target vehicle type, the candidate resource numerical fluctuation function includes two cases: in the first case, the candidate resource numerical fluctuation functions include candidate resource numerical fluctuation functions respectively corresponding to a plurality of historical vehicle models; and the second candidate resource numerical fluctuation function is a candidate resource numerical fluctuation function corresponding to the target vehicle type.
For the first case, the candidate resource numerical value fluctuation function corresponding to the target vehicle type in the candidate resource numerical value fluctuation functions is taken as the resource numerical value fluctuation function corresponding to the target vehicle type; and aiming at the second situation, the candidate resource numerical fluctuation function corresponding to the target vehicle type is the resource numerical fluctuation function corresponding to the target vehicle type.
202, determining a target loading date for the target vehicle model to be transported along the target transportation route from at least one candidate loading date based on the resource numerical fluctuation function and the first historical order.
Illustratively, the 202 includes, but is not limited to 2021 and 2022.
2021, for each of the at least one candidate loading date, obtaining, based on the resource value fluctuation function, a first resource value fluctuation value for the target vehicle model transported on the candidate loading date and a second resource value fluctuation value for the target vehicle model transported on the historical loading date.
Illustratively, the historical loading date is a historical loading date included in the first historical order. In some embodiments, the candidate loading date and the historical loading date are respectively brought into the resource numerical fluctuation function, and a first resource numerical fluctuation value of the target vehicle model transported on the candidate loading date and a second resource numerical fluctuation value of the target vehicle model transported on the historical loading date are obtained.
2022, based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, obtaining a candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date, and determining the target loading date of the target vehicle model transported according to the target transportation route according to the candidate resource value.
The historical resource value is a historical resource value of a target vehicle type contained in the first historical order and transported according to a target transportation route on a historical loading date.
In an exemplary embodiment, the method for obtaining the candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value of the target vehicle model transported on the candidate loading date are obtained based on the resource value fluctuation function corresponding to the target vehicle model, and according to the obtaining process of the resource value fluctuation function corresponding to the target vehicle model, the first resource value fluctuation value and the second resource value fluctuation value can respectively indicate the resource value fluctuation of the target vehicle model transported on the continuous reference number of the historical loading dates, and therefore, the method for obtaining the candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value comprises: acquiring a ratio of the first resource value fluctuation value to the second resource value fluctuation value, wherein the ratio is used for indicating the resource value fluctuation of the target vehicle type transported in a first unit time, and the first unit time is a time difference value between a candidate loading date and a historical loading date; and according to the historical resource value of the target vehicle type transported according to the target transportation route on the historical loading date and the ratio, acquiring the candidate resource value of the target vehicle type transported according to the target transportation route on the candidate loading date.
Illustratively, based on the historical resource value, the first resource value fluctuation value, and the second resource value fluctuation value, a candidate resource value for the target vehicle model to be transported according to the target transportation route on the candidate loading date is obtained according to the following formula 9:
Figure BDA0003360267290000181
wherein P is r According to the target on the candidate loading date r for the target vehicle modelCandidate resource value, P, for transportation by transportation line h For the historical resource value of the target vehicle model transported on the historical loading date according to the target transportation route, f (r) is a first resource value fluctuation value of the target vehicle model transported on the candidate loading date r, and f (h) is a second resource value fluctuation value of the target vehicle model transported on the historical loading date. Illustratively, in this equation 9,
Figure BDA0003360267290000182
the resource numerical value used for indicating the transportation of the target vehicle model on the loading date q fluctuates, and q is the time difference between the candidate loading date r and the historical loading date.
In one possible implementation, the first resource value fluctuation value of the target vehicle model transported on the candidate loading date r is f (1+q), the second resource value fluctuation value of the target vehicle model transported on the historical loading date is f (1), the historical resource value of the target vehicle model transported on the historical loading date according to the target transportation route is M element, the resource value of the target vehicle model transported on the candidate loading date r according to the target transportation route is m×f (1+q)/f (1) element, and q is the time difference between the candidate loading date r and the historical loading date.
For example, the target vehicle model is a 4.5 meter vehicle model, the historical loading date is 2021 month 5 day 15, the at least one candidate loading date includes 2021 month 5 day 16, 2021 month 5 day 17 and 2021 month 5 day 18, the target transportation route is a route a, the historical resource value of the 4.5 meter vehicle model transported according to the route a on 2021 month 5 day 15 is M1 yuan, the second resource value fluctuation value of the 4.5 meter vehicle model transported according to the route a on 2021 month 5 day 15 is f (1), and since the time difference between 2021 month 5 day 16 and 2021 month 5 day 15 is 1 day, the first resource value fluctuation value of the 4.5 meter vehicle model transported on 2021 month 5 day 16 is f (2), the candidate resource value of the 4.5 meter vehicle model transported according to the route a on 2021 month 5 day 16 is M1 xf (2)/f (1) yuan. Similarly, the candidate resource value of the 4.5M vehicle model transported according to the line A at 5 months of 2021 is M1×f (3)/f (1) element, and the candidate resource value of the 4.5M vehicle model transported according to the line A at 5 months of 2021 is M1×f (4)/f (1) element.
It should be noted that, the second resource value fluctuation value of the target vehicle type transported on the historical loading date may also be other values, for example, the second resource value fluctuation value of the target vehicle type transported on the historical loading date is f (2), and the first resource value fluctuation value of the target vehicle type transported on the candidate loading date r is f (2+q), where q is the time difference between the candidate loading date r and the historical loading date. The manner of determining the second resource numerical fluctuation value of the target vehicle model transported on the historical loading date based on the historical loading date and the resource numerical fluctuation function is not limited in the embodiments of the present application.
Illustratively, determining a target loading date for the target vehicle model to be transported along the target transportation route based on the candidate resource value includes: and comparing the candidate resource value with a reference value, and determining a candidate loading date corresponding to the candidate resource value as a target loading date in response to the candidate resource value not being larger than the reference value. The candidate resource value is a candidate resource value of the target vehicle model transported according to the target transportation route on a candidate loading date; the candidate loading date corresponding to the candidate resource value is the candidate loading date for acquiring the candidate resource value; the reference value is a reference value included in the source information. It should be noted that, the reference values may be set according to experience or actual requirements, which are not limited in this embodiment.
Illustratively, the reference value is 5600 yuan, the candidate resource value corresponding to the candidate loading date 2021, 5, 16 is 5500 yuan, the candidate resource value corresponding to the candidate loading date 2021, 5, 17 is 5650 yuan, and the candidate resource value corresponding to the candidate loading date 2021, 5, 18 is 5575 yuan. Then for the candidate resource values corresponding to the respective candidate load dates, the candidate resource value corresponding to the year 2021, month 5, and 16 and the candidate resource value corresponding to the year 2021, month 5, and 18 are not greater than the reference value, and thus the target load date includes the year 2021, month 5, 16, and year 2012, month 5, and 18.
And 203, selecting target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one candidate vehicle source information.
Illustratively, the 203 includes, but is not limited to 2031 and 2032.
2031, acquiring a target loading address based on the target transportation route and the reference distance.
Illustratively, the reference distance is stored in the information center 101. The reference distance may be set according to experience or actual requirements, which is not limited in the embodiments of the present application.
In one possible implementation, the target transport line includes a reference load address, and the target load address is obtained based on the reference load address and the reference distance. For example, a circular area is acquired with the reference load address as the center and the reference distance as the radius, and the circular area is used as the target load address. It should be noted that, the circular area is only an area shape of the target loading address illustrated in the embodiment of the present application, and the area shape of the target loading address may be set according to experience or actual requirements, which is not limited in the embodiment of the present application. For example, a hexagonal area or an octagonal area is acquired with the reference load address as the center and the reference distance as the radius, and the acquired area is used as the target load address.
2032, selecting target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one candidate vehicle source information according to the target loading address.
In one possible implementation manner, for each candidate vehicle source information in at least one candidate vehicle source information, determining whether a vehicle type included in the candidate vehicle source information is a target vehicle type, whether an unloading address included in the candidate vehicle source information exceeds a target loading address, and whether an unloading date included in the candidate vehicle source information belongs to a target loading date; selecting the included vehicle type as a target vehicle type, selecting candidate vehicle source information which includes an unloading address not exceeding a target loading address and includes an unloading date belonging to the target loading date as target vehicle source information.
It should be noted that, for each candidate source information, whether the included vehicle type is the target vehicle type, whether the included unloading address exceeds the target loading address, and whether the included unloading date belongs to the target loading date may be executed simultaneously, or a certain operation may be executed first and then the rest of operations may be executed, which is not limited in this application. Regarding the selection sequence of each candidate source information, the selection operation may be performed on one candidate source information and then on the next candidate source information, or the selection operation may be performed on several candidate sources at the same time, which is not limited in the embodiment of the present application.
In an exemplary embodiment, determining whether the vehicle type included in the candidate source information is a target vehicle type, whether an unloading address included in the candidate source information exceeds a target loading address, and whether an unloading date included in the candidate source information belongs to a target loading date includes: firstly, determining whether the vehicle type included in each candidate vehicle source information is a target vehicle type; determining whether an unloading address included in candidate vehicle source information of a vehicle type which is a target vehicle type exceeds a target loading address; and determining whether the unloading date included in the candidate vehicle source information with the unloading address not exceeding the target loading address belongs to the target loading date. Namely, the efficiency of selecting the vehicle source information is improved by continuously narrowing the range of selecting the target vehicle source information. It should be noted that, the operation of determining whether the unloading address included in the candidate source information exceeds the target loading address may be performed first, or the operation of determining whether the unloading date included in the candidate source information belongs to the target loading date may be performed first, so as to continuously narrow the range of selecting the target source information. The execution sequence of the operations is the same as the execution sequence principle described above, and will not be repeated here.
In one possible implementation, as shown in fig. 3, after selecting the target vehicle source information, the method further includes 204: and sending the target vehicle source information.
Illustratively, the information center 101 transmits the target source information to the user who provides the source information, so that the user obtains the selected target source information.
According to the method provided by the embodiment of the application, the target loading date can be automatically determined from at least one candidate loading date by acquiring the resource numerical fluctuation function corresponding to the target vehicle type and the historical order corresponding to the target vehicle type; and then, the target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type is automatically selected from the candidate vehicle source information, and the selection efficiency of the vehicle source information is higher.
In addition, in the case where the target loading date is a partial loading date of the candidate loading dates, the equipment resources required for selecting the target source information based on the target loading date are smaller than the equipment resources required for selecting the target source information based on all the candidate loading dates, and the equipment resources required for selecting the source information are lower.
In addition, because the candidate resource numerical fluctuation function corresponding to one historical vehicle model is obtained based on the historical order corresponding to the historical vehicle model, the method can obtain the candidate resource numerical fluctuation function with higher accuracy, and therefore the accuracy of selecting the target vehicle source information can be improved.
Fig. 4 is a schematic structural diagram of a vehicle source information selecting device according to an embodiment of the present application, where, as shown in fig. 4, the device includes:
the acquiring module 401 is configured to acquire a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, where the resource numerical fluctuation function is used to acquire resource numerical fluctuation values of transportation of the target vehicle type in different dates;
a determining module 402, configured to determine a target loading date for transporting the target vehicle model according to the target transportation route from at least one candidate loading date based on the resource numerical fluctuation function and the first historical order;
the selecting module 403 is configured to select, from at least one candidate source information, target source information of a target vehicle model that is transported according to a target transportation route on a target loading date.
In one possible implementation, the first historical order includes a historical loading date and a historical resource value for the target vehicle model to be transported along the target transportation route at the historical loading date; a determining module 402, configured to obtain, for each candidate loading date in at least one candidate loading date, a first resource numerical fluctuation value of a target vehicle model transported on the candidate loading date and a second resource numerical fluctuation value of the target vehicle model transported on the historical loading date based on the resource numerical fluctuation function; and based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, acquiring a candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date, and determining the target loading date of the target vehicle model transported according to the target transportation route according to the candidate resource value.
In one possible implementation manner, the obtaining module 401 is configured to obtain at least one candidate resource numerical fluctuation function, where one candidate resource numerical fluctuation function corresponds to one vehicle type; and acquiring a resource numerical fluctuation function corresponding to the target vehicle type in the at least one candidate resource numerical fluctuation function.
In a possible implementation manner, the obtaining module 401 is configured to obtain a plurality of second historical orders, where the second historical orders include a historical vehicle type, a historical loading date, a historical transportation line, and a historical resource value, where the historical resource value is a historical resource value of the historical vehicle type transported according to the historical transportation line on the historical loading date; for a plurality of second historical orders comprising the same historical vehicle model, acquiring a weighted variation ratio corresponding to the historical vehicle model based on the order quantity of the plurality of second historical orders, a plurality of historical transportation lines and a plurality of historical resource values, wherein the weighted variation ratio is used for indicating the variation of the resource values transported by the historical vehicle model on each historical loading date; and obtaining candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the weighted fluctuation ratios corresponding to the historical vehicle types.
In a possible implementation manner, the obtaining module 401 is configured to obtain, based on the order numbers of the plurality of second historical orders and the plurality of historical transportation routes, an order number ratio of the historical vehicle model transported according to each historical transportation route on each historical loading date; based on the transportation mileage corresponding to the plurality of historical transportation lines, acquiring the transportation mileage ratio of the historical vehicle model transported by each historical transportation line on each historical loading date; based on the plurality of historical resource values, acquiring the resource value change ratio of the historical vehicle model transported on each historical loading date according to each historical transportation route; and acquiring the weighted change ratio of the historical vehicle model transported on each historical loading date based on the order quantity ratio, the transportation mileage ratio and the resource numerical value change ratio.
In one possible implementation manner, the obtaining module 401 is configured to determine, for each historical loading date, a resource numerical impact coefficient of each historical transportation line based on the order quantity ratio and the transportation mileage ratio corresponding to the historical transportation line, where the resource numerical impact coefficient is used to indicate an impact degree of the resource numerical change ratio corresponding to the historical transportation line on the weighted change ratio of the historical vehicle model transported on the historical loading date; and acquiring the weighted change ratio of the historical vehicle model transported on the historical loading date based on the resource numerical value influence coefficient of each historical transportation line and the resource numerical value change ratio of each historical transportation line.
In one possible implementation manner, the obtaining module 401 is configured to obtain, based on the weighted variation ratio corresponding to each historical vehicle model, a third resource numerical fluctuation value of each historical vehicle model transported on each historical loading date, where the third resource numerical fluctuation value is used to indicate resource numerical fluctuation of each historical vehicle model transported on a continuous reference number of historical loading dates; and acquiring candidate resource numerical fluctuation functions corresponding to each historical vehicle type based on the third resource numerical fluctuation value.
The device can automatically determine the target loading date from at least one candidate loading date by acquiring the resource numerical fluctuation function corresponding to the target vehicle type and the historical order corresponding to the target vehicle type; and then, the target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type is automatically selected from the candidate vehicle source information, and the selection efficiency of the vehicle source information is higher.
In the case where the target loading date is a partial loading date of the candidate loading dates, the apparatus for selecting the target source information based on the target loading date requires less equipment resources than the apparatus for selecting the target source information based on all the candidate loading dates, and the apparatus for selecting the source information requires less equipment resources.
In addition, because the candidate resource numerical fluctuation function corresponding to one historical vehicle model is obtained based on the historical order corresponding to the historical vehicle model, the device can obtain the candidate resource numerical fluctuation function with higher accuracy, and therefore the accuracy of selecting the target vehicle source information can be improved.
It should be understood that, in implementing the functions of the apparatus provided in fig. 4, only the division of the functional modules is illustrated, and in practical application, the functional modules may be allocated to different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus provided in the foregoing embodiments and the corresponding method embodiments belong to the same concept, and specific implementation processes of the apparatus and the corresponding method embodiments are detailed in the method embodiments, which are not described herein again.
Fig. 5 shows a block diagram of an electronic device 500 according to an exemplary embodiment of the present application. The electronic device 500 may be a portable mobile terminal such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. Electronic device 500 may also be referred to by other names of user devices, portable terminals, laptop terminals, desktop terminals, and the like.
Generally, the electronic device 500 includes: a processor 501 and a memory 502.
Processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 501 may also include a main processor and a coprocessor, the main processor being a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit, image processor) for taking care of rendering and rendering of content that the display screen is required to display. In some embodiments, the processor 501 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.
Memory 502 may include one or more computer-readable storage media, which may be non-transitory. Memory 502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 502 is used to store at least one instruction for execution by processor 501 to implement the method of selecting vehicle source information provided by the method embodiments in the present application.
In some embodiments, the electronic device 500 may further optionally include: a peripheral interface 503 and at least one peripheral. The processor 501, memory 502, and peripheral interface 503 may be connected by buses or signal lines. The individual peripheral devices may be connected to the peripheral device interface 503 by buses, signal lines or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, a display 505, a camera assembly 506, audio circuitry 507, a positioning assembly 508, and a power supply 509.
Peripheral interface 503 may be used to connect at least one Input/Output (I/O) related peripheral to processor 501 and memory 502. In some embodiments, processor 501, memory 502, and peripheral interface 503 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 501, memory 502, and peripheral interface 503 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 504 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 504 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 504 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 504 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 504 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the world wide web, metropolitan area networks, intranets, generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 504 may also include NFC (Near Field Communication ) related circuitry, which is not limited in this application.
The display 505 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 505 is a touch display, the display 505 also has the ability to collect touch signals at or above the surface of the display 505. The touch signal may be input as a control signal to the processor 501 for processing. At this time, the display 505 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 505 may be one, disposed on the front panel of the electronic device 500; in other embodiments, the display 505 may be at least two, and disposed on different surfaces of the electronic device 500 or in a folded design; in other embodiments, the display 505 may be a flexible display disposed on a curved surface or a folded surface of the electronic device 500. Even more, the display 505 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The display 505 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.
The camera assembly 506 is used to capture images or video. Optionally, the camera assembly 506 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 506 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.
The audio circuitry 507 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 501 for processing, or inputting the electric signals to the radio frequency circuit 504 for voice communication. For purposes of stereo acquisition or noise reduction, the microphone may be multiple and separately disposed at different locations of the electronic device 500. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 501 or the radio frequency circuit 504 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, audio circuitry 507 may also include a headphone jack.
The location component 508 is used to locate the current geographic location of the electronic device 500 to enable navigation or LBS (Location Based Service, location-based services). The positioning component 508 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, or the Galileo system of Russia.
The power supply 509 is used to power the various components in the electronic device 500. The power supply 509 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 509 comprises a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the electronic device 500 further includes one or more sensors 510. The one or more sensors 510 include, but are not limited to: an acceleration sensor 511, a gyro sensor 512, a pressure sensor 513, a fingerprint sensor 514, an optical sensor 515, and a proximity sensor 516.
The acceleration sensor 511 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the electronic device 500. For example, the acceleration sensor 511 may be used to detect components of gravitational acceleration on three coordinate axes. The processor 501 may control the display 505 to display a user interface in a landscape view or a portrait view according to a gravitational acceleration signal acquired by the acceleration sensor 511. The acceleration sensor 511 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 512 may detect a body direction and a rotation angle of the electronic apparatus 500, and the gyro sensor 512 may collect a 3D motion of the user on the electronic apparatus 500 in cooperation with the acceleration sensor 511. The processor 501 may implement the following functions based on the data collected by the gyro sensor 512: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.
The pressure sensor 513 may be disposed at a side frame of the electronic device 500 and/or at an underlying layer of the display 505. When the pressure sensor 513 is disposed on a side frame of the electronic device 500, a grip signal of the electronic device 500 by a user may be detected, and the processor 501 performs left-right hand recognition or quick operation according to the grip signal collected by the pressure sensor 513. When the pressure sensor 513 is disposed at the lower layer of the display screen 505, the processor 501 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 505. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.
The fingerprint sensor 514 is used for collecting the fingerprint of the user, and the processor 501 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 514, or the fingerprint sensor 514 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the user is authorized by the processor 501 to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 514 may be disposed on the front, back, or side of the electronic device 500. When a physical key or vendor Logo is provided on the electronic device 500, the fingerprint sensor 514 may be integrated with the physical key or vendor Logo.
The optical sensor 515 is used to collect the ambient light intensity. In one embodiment, the processor 501 may control the display brightness of the display screen 505 based on the intensity of ambient light collected by the optical sensor 515. Specifically, when the intensity of the ambient light is high, the display brightness of the display screen 505 is turned up; when the ambient light intensity is low, the display brightness of the display screen 505 is turned down. In another embodiment, the processor 501 may also dynamically adjust the shooting parameters of the camera assembly 506 based on the ambient light intensity collected by the optical sensor 515.
A proximity sensor 516, also referred to as a distance sensor, is typically provided on the front panel of the electronic device 500. The proximity sensor 516 is used to collect the distance between the user and the front of the electronic device 500. In one embodiment, when the proximity sensor 516 detects a gradual decrease in the distance between the user and the front of the electronic device 500, the processor 501 controls the display 505 to switch from the bright screen state to the off screen state; when the proximity sensor 516 detects that the distance between the user and the front surface of the electronic device 500 gradually increases, the processor 501 controls the display screen 505 to switch from the off-screen state to the on-screen state.
Those skilled in the art will appreciate that the structure shown in fig. 5 is not limiting of the electronic device 500 and may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.
Fig. 6 is a schematic diagram of a server according to an embodiment of the present application, where the server 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors 601 and one or more memories 602. The processor 601 is illustratively a central processing unit (Central Processing Units, CPU). The one or more memories 602 store at least one program code that is loaded and executed by the one or more processors 601 to implement the method for selecting vehicle source information provided in the above embodiments. Of course, the server 600 may also have a wired or wireless network interface, a keyboard, an input/output interface, etc. to perform input/output, and the target server 600 may also include other components for implementing the functions of the device, which are not described herein.
In an exemplary embodiment, there is also provided a computer-readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to cause a computer to implement any one of the above-described methods of selecting vehicle source information.
Alternatively, the above-mentioned computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Read-Only optical disk (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, there is also provided a computer program or a computer program product, in which at least one computer instruction is stored, the at least one computer instruction being loaded and executed by a processor, to cause a computer to implement a method of selecting any of the above-mentioned vehicle source information.
It should be understood that references herein to "a plurality" are to two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
The foregoing description of the exemplary embodiments of the present application is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, alternatives, and alternatives falling within the spirit and scope of the invention.

Claims (10)

1. The method for selecting the vehicle source information is characterized by comprising the following steps:
Acquiring a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, wherein the resource numerical fluctuation function is used for acquiring resource numerical fluctuation values of the target vehicle type transported in different dates;
determining a target loading date of the target vehicle model for transportation according to a target transportation route from at least one candidate loading date based on the resource numerical fluctuation function and the first historical order;
and selecting target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one candidate vehicle source information.
2. The method of claim 1, wherein the first historical order includes a historical loading date and a historical resource value for the target vehicle model for transportation along the target transportation route on the historical loading date;
the determining, based on the resource numerical fluctuation function and the first historical order, a target loading date for the target vehicle model to be transported according to a target transportation route from at least one candidate loading date, including:
for each candidate loading date of at least one candidate loading date, acquiring a first resource value fluctuation value transported by the target vehicle model on the candidate loading date and a second resource value fluctuation value transported by the target vehicle model on the historical loading date based on the resource value fluctuation function;
And based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, acquiring a candidate resource value of the target vehicle model transported according to the target transportation route on the candidate loading date, and determining the target loading date of the target vehicle model transported according to the target transportation route according to the candidate resource value.
3. The method according to claim 1 or 2, wherein the obtaining the resource numerical fluctuation function corresponding to the target vehicle type includes:
acquiring at least one candidate resource numerical fluctuation function, wherein one candidate resource numerical fluctuation function corresponds to one vehicle type;
and acquiring a resource numerical fluctuation function corresponding to the target vehicle type in the at least one candidate resource numerical fluctuation function.
4. A method according to claim 3, wherein said obtaining at least one candidate resource value fluctuation function comprises:
acquiring a plurality of second historical orders, wherein the second historical orders comprise historical vehicle types, historical loading dates, historical transportation lines and historical resource values, and the historical resource values are the historical resource values of the historical vehicle types transported according to the historical transportation lines on the historical loading dates;
For a plurality of second historical orders comprising the same historical vehicle model, acquiring a weighted variation ratio corresponding to the historical vehicle model based on the order quantity of the plurality of second historical orders, a plurality of historical transportation lines and a plurality of historical resource values, wherein the weighted variation ratio is used for indicating the variation of the resource values transported by the historical vehicle model on each historical loading date;
and acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the weighted fluctuation ratios corresponding to the historical vehicle types.
5. The method of claim 4, wherein the obtaining the weighted variation ratio corresponding to the historical vehicle model based on the order quantity of the plurality of second historical orders, the plurality of historical transportation lines, and the plurality of historical resource values comprises:
based on the order quantity of the plurality of second historical orders and the plurality of historical transportation lines, acquiring the order quantity ratio of the historical vehicle type transported on each historical loading date according to each historical transportation line;
based on the transportation mileage corresponding to the plurality of historical transportation lines, acquiring the transportation mileage ratio of the historical vehicle model transported according to the historical transportation lines on each historical loading date;
Based on the plurality of historical resource values, acquiring the resource value change ratio of the historical vehicle model in each historical loading date according to the transportation of each historical transportation line;
and acquiring a weighted variation ratio of the historical vehicle model in transportation on each historical loading date based on the order quantity ratio, the transportation mileage ratio and the resource numerical value variation ratio.
6. The method of claim 5, wherein the obtaining a weighted variation ratio of the historical vehicle model for transportation on the respective historical loading dates based on the order quantity ratio, the transportation mileage ratio, and the resource value variation ratio comprises:
for each historical loading date, determining a resource numerical value influence coefficient of each historical transportation line based on the order quantity ratio and the transportation mileage ratio corresponding to each historical transportation line, wherein the resource numerical value influence coefficient is used for indicating the influence degree of the resource numerical value change ratio corresponding to each historical transportation line on the weighted change ratio of the historical vehicle type transportation on the historical loading date;
and acquiring the weighted change ratio of the historical vehicle type transportation on the historical loading date based on the resource numerical value influence coefficient of each historical transportation line and the resource numerical value change ratio of each historical transportation line.
7. The method according to any one of claims 4 to 6, wherein the obtaining the candidate resource numerical fluctuation function corresponding to each historical vehicle model based on the weighted fluctuation ratio corresponding to each historical vehicle model includes:
acquiring a third resource numerical fluctuation value of each historical vehicle type transported on each historical loading date based on a weighted fluctuation ratio corresponding to each historical vehicle type, wherein the third resource numerical fluctuation value is used for indicating resource numerical fluctuation of the historical vehicle types transported on a continuous reference number of historical loading dates;
and acquiring candidate resource numerical fluctuation functions corresponding to the historical vehicle types based on the third resource numerical fluctuation values.
8. A vehicle source information selecting device, characterized in that the device comprises:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a first historical order corresponding to a target vehicle type and a resource numerical fluctuation function corresponding to the target vehicle type, and the resource numerical fluctuation function is used for acquiring resource numerical fluctuation values of the target vehicle type transported in different dates;
a determining module, configured to determine, from at least one candidate loading date, a target loading date on which the target vehicle model is transported according to a target transportation route, based on the resource numerical fluctuation function and the first historical order;
And the selecting module is used for selecting the target vehicle source information which is transported according to the target transportation route on the target loading date and is the target vehicle type from at least one piece of candidate vehicle source information.
9. An electronic device, characterized in that the electronic device comprises a processor and a memory, wherein at least one program code or instruction is stored in the memory, and the at least one program code or instruction is loaded and executed by the processor, so that the electronic device implements the method for selecting vehicle source information according to any one of claims 1-7.
10. A computer readable storage medium, wherein at least one program code is stored in the computer readable storage medium, and the at least one program code is loaded and executed by a processor, so that a computer implements the method for selecting vehicle source information according to any one of claims 1 to 7.
CN202111364087.7A 2021-11-17 2021-11-17 Vehicle source information selection method, device, equipment and computer readable storage medium Pending CN116151709A (en)

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CN202111364087.7A CN116151709A (en) 2021-11-17 2021-11-17 Vehicle source information selection method, device, equipment and computer readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111364087.7A CN116151709A (en) 2021-11-17 2021-11-17 Vehicle source information selection method, device, equipment and computer readable storage medium

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Publication Number Publication Date
CN116151709A true CN116151709A (en) 2023-05-23

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Country Link
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