Method, device and computer readable storage medium for determining resource values

Abstract

The application discloses a resource value determination method, device and equipment and a computer readable storage medium. The method comprises the following steps: obtaining a target vehicle model, a target transportation line and a target loading date; obtaining a first historical order corresponding to the target vehicle model and a resource value fluctuation function corresponding to the target vehicle model, wherein the resource value fluctuation function is used to obtain a resource value fluctuation value of the target vehicle model transported on different dates; and determining a reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the resource value fluctuation function and the first historical order. The method can automatically determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line by obtaining the historical order corresponding to the target vehicle model and the resource value fluctuation function, and the determination efficiency of the reference resource value is high.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of logistics, and in particular, to a resource value determination method and device, equipment and a computer readable storage medium. BACKGROUND

[0002] In the technical field of logistics, a supplier publishes a cargo source information on a logistics platform, the cargo source information including various information required for completing cargo transportation, such as loading address, unloading address (or transportation route), loading date, unloading date, vehicle type, etc. The cargo source information can also include a resource value paid for cargo transportation. The logistics platform can display the resource value when displaying the cargo source information, and a carrier can determine whether to undertake the cargo transportation according to the resource value. The resource value is often determined manually, such as manually filled in the cargo source information by the supplier. When the resource value is low, there can be no carrier to undertake the cargo transportation, and the display of the cargo source information will occupy the system resources of the logistics platform for a long time. When the resource value is high, the supplier will bear a high resource cost, and the experience of the supplier is poor. Therefore, there is an urgent need for a resource value determination method to provide a reference resource value, so as to reduce the system resource occupation of the logistics platform while the carrier undertakes the cargo transportation, and the resource cost borne by the supplier for the cargo transportation is low. SUMMARY

[0003] Embodiments of the present application provide a resource value determination method, device, equipment and computer readable storage medium, which can be used to solve the problems in the related art.

[0004] In a first aspect, embodiments of the present application provide a resource value determination method, which comprises:

[0005] obtaining a target vehicle type, a target transportation route and a target loading date;

[0006] obtaining a first historical order corresponding to the target vehicle type and a resource value fluctuation function corresponding to the target vehicle type, the resource value fluctuation function being used to obtain a resource value fluctuation value of the target vehicle type transported on different dates;

[0007] determining a reference resource value of the target vehicle type transported on the target loading date according to the target transportation route based on the resource value fluctuation function and the first historical order.

[0008] In a possible implementation, the first historical order includes a historical loading date and a historical resource value of the target vehicle type transported on the historical loading date according to the target transportation route.

[0009] The reference resource value of the target vehicle model transported on the target transportation line on the target loading date is determined based on the resource value fluctuation function and the first historical order, including:

[0010] A first resource value fluctuation value of the target vehicle model transported on the target loading date and a second resource value fluctuation value of the target vehicle model transported on the historical loading date are obtained based on the resource value fluctuation function;

[0011] The reference resource value of the target vehicle model transported on the target transportation line on the target loading date is determined based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value.

[0012] In a possible implementation, the reference resource value of the target vehicle model transported on the target transportation line on the target loading date is determined based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, including:

[0013] The reference resource value of the target vehicle model transported on the target transportation line on the target loading date is determined based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value according to the following formula:

[0014]

[0015] Wherein, the P l The P h is the historical resource value, the f(l) is the first resource value fluctuation value, and the f(h) is the second resource value fluctuation value.

[0016] In a possible implementation, the resource value fluctuation function corresponding to the target vehicle model is obtained, including:

[0017] At least one candidate resource value fluctuation function is obtained, and one candidate resource value fluctuation function corresponds to one vehicle model.

[0018] The resource value fluctuation function corresponding to the target vehicle model is obtained from the at least one candidate resource value fluctuation function.

[0019] In a possible implementation, the at least one candidate resource value fluctuation function is obtained, including:

[0020] obtain a plurality of second historical orders, the second historical orders comprising 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 on the historical loading date according to the historical transportation line;

[0021] For a plurality of second historical orders comprising the same historical vehicle model, obtain a weighted variation ratio corresponding to the historical vehicle model based on an order quantity of the plurality of second historical orders, a plurality of historical transportation lines and a plurality of historical resource values, the weighted variation ratio being used to indicate a change in resource value transported by the historical vehicle model on the respective historical loading dates;

[0022] Obtain a candidate resource value fluctuation function corresponding to each historical vehicle model based on the weighted variation ratio corresponding to each historical vehicle model.

[0023] In a possible implementation, the obtaining of the candidate resource value fluctuation function corresponding to each historical vehicle model based on the weighted variation ratio corresponding to each historical vehicle model comprises:

[0024] Obtain a third resource value fluctuation value of each historical vehicle model transported on the respective historical loading dates based on the weighted variation ratio corresponding to each historical vehicle model, the third resource value fluctuation value being used to indicate a resource value fluctuation of the historical vehicle model transported on a continuous reference quantity of historical loading dates.

[0025] Obtain a candidate resource value fluctuation function corresponding to each historical vehicle model based on the third resource value fluctuation value.

[0026] In a second aspect, the embodiments of the present application provide a resource value determination apparatus, which comprises:

[0027] A first obtaining module is configured to obtain a target vehicle model, a target transportation line and a target loading date.

[0028] A second obtaining module is configured to obtain a first historical order corresponding to the target vehicle model and a resource value fluctuation function corresponding to the target vehicle model, the resource value fluctuation function being used to obtain a resource value fluctuation value of the target vehicle model transported on different dates.

[0029] A determining module is configured to determine a reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the resource value fluctuation function and the first historical order.

[0030] In a possible implementation, the first historical order includes a historical loading date and a historical resource value of the target vehicle model transported on the historical loading date according to the target transportation line; the determining module is configured to acquire, based on the resource value fluctuation function, a first resource value fluctuation value of the target vehicle model transported on the target loading date and a second resource value fluctuation value of the target vehicle model transported on the historical loading date; and determine a reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value.

[0031] In a possible implementation, the determining module is configured to determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value according to the following formula:

[0032]

[0033] wherein, the P l is the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line, the P h is the historical resource value, the f(l) is the first resource value fluctuation value, and the f(h) is the second resource value fluctuation value.

[0034] In a possible implementation, the second acquiring module is configured to acquire at least one candidate resource value fluctuation function, one candidate resource value fluctuation function corresponding to one vehicle model; and acquire the resource value fluctuation function corresponding to the target vehicle model from the at least one candidate resource value fluctuation function.

[0035] In a possible implementation, the second acquiring module is configured to acquire a plurality of second historical orders, the second historical order including 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 on the historical loading date according to the historical transportation line; for a plurality of second historical orders including the same 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, acquire a weighted variation ratio corresponding to the historical vehicle model, the weighted variation ratio being used to indicate a change in resource value of the historical vehicle model transported on each historical loading date; and based on the weighted variation ratio corresponding to each historical vehicle model, acquire a candidate resource value fluctuation function corresponding to the historical vehicle model.

[0036] In a possible implementation, the second acquisition module is configured to acquire a third resource value fluctuation value of the historical vehicle model on the historical loading date based on the corresponding weighted variation ratio of the historical vehicle model, where the third resource value fluctuation value is used to indicate resource value fluctuation of the historical vehicle model on the continuous reference number of historical loading dates, and acquire the candidate resource value fluctuation function corresponding to the historical vehicle model based on the third resource value fluctuation value.

[0037] In a third aspect, an electronic device is provided, which includes a processor and a memory. The memory stores at least one program code or instruction, which is loaded and executed by the processor, so that the electronic device implements the resource value determination method in the first aspect or any possible implementation of the first aspect.

[0038] In a fourth aspect, a computer readable storage medium is provided, which stores at least one program code or instruction. The at least one program code or instruction is loaded and executed by a processor, so that the computer implements the resource value determination method in the first aspect or any possible implementation of the first aspect.

[0039] In a fifth aspect, a computer program or computer program product is provided, which stores at least one computer instruction. The at least one computer instruction is loaded and executed by a processor, so that the computer implements the resource value determination method in the first aspect or any possible implementation of the first aspect.

[0040] The technical solutions provided in the embodiments of the present application at least have the following beneficial effects:

[0041] The technical solutions provided in the embodiments of the present application can automatically determine the reference resource value of the target vehicle model on the target loading date according to the target transportation line by acquiring the historical order and the resource value fluctuation function corresponding to the target vehicle model, and the determination efficiency of the reference resource value is high. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0043] Figure 1 is an implementation environment schematic diagram of a resource value determination method provided by the embodiments of the present application;

[0044] Figure 2 is a flowchart of a resource value determination method provided by an embodiment of the present application;

[0045] Figure 3 is a structural schematic diagram of a resource value determination apparatus provided by an embodiment of the present application;

[0046] Figure 4 is a structural schematic diagram of an electronic device provided by an embodiment of the present application;

[0047] Figure 5 is a schematic diagram of a server provided by an embodiment of the present application. DETAILED DESCRIPTION

[0048] To make the objectives, technical solutions and advantages of the present application clearer, the following will further describe the embodiments of the present application in detail with reference to the accompanying drawings.

[0049] The terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0050] Figure 1 is an implementation environment schematic diagram of a resource value determination method provided by an embodiment of the present application, as shown in the figure, the implementation environment includes: an information center 101 and a terminal device 102. Wherein, the information center 101 can be in communication connection with the terminal device 102 through a wired network or a wireless network. Figure 1

[0051] The information center 101 can be a server, which can be a server or a server cluster composed of multiple servers; the information center 101 can also be a terminal device, which can 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 can also be at least one of a cloud computing platform and a virtualization center, which is not limited in the embodiments of the present application. Exemplarily, the resource value determination method in the embodiments of the present application can be executed by the information center 101.

[0052] It should be noted that the number of the above-mentioned information center 101 can be more or less, which is not limited in the embodiments of the present application. The information center 101 can have functions of data processing, data storage and data transceiving, which is not limited in the embodiments of the present application. Of course, the information center 101 can also include other functions to provide more comprehensive and diversified services.

[0053] ​Terminal device 102 may include at least one of a laptop computer, desktop computer, smartphone, tablet computer, smart speaker, and smart robot. For example, terminal device 102 is used to send supply information to information center 101.

[0054] Terminal device 102 can refer to one of a plurality of terminal devices. This application embodiment only uses terminal device 102 as an example for illustration. Those skilled in the art will know that the number of terminal devices 102 can be more or less. For example, there may be only one terminal device 102, or there may be dozens or hundreds of terminal devices 102, or more. This application embodiment does not limit the number or type of terminal devices 102.

[0055] based on Figure 1 The implementation environment shown in this application provides a method for determining resource values. Figure 2 This is a flowchart illustrating a method for determining resource values ​​according to an embodiment of this application. Taking the execution of this method by an information center 101 as an example, the method for determining resource values ​​provided in this application will be explained. Figure 2 As shown, the method includes, but is not limited to, the following 201 to 203.

[0056] 201. Obtain the target vehicle type, target transportation route, and target loading date.

[0057] In one possible implementation, the vehicle type is determined based on the vehicle length. For example, vehicle types include 4.5-meter, 9.6-meter, and 17.5-meter models. It should be noted that the vehicle type can also be determined based on other information, such as the vehicle's load capacity. This application does not limit this aspect.

[0058] In one possible implementation, obtaining the target vehicle type, target transportation route, and target loading date includes: obtaining cargo source information, which includes the target vehicle type, target transportation route, and target loading date. Exemplarily, obtaining cargo source information includes: obtaining cargo source information input by a user, or receiving cargo source information sent by a user through terminal device 102. It should be noted that the cargo source information may also include other information, which is not limited in this embodiment.

[0059] 202. Obtain the first historical order corresponding to the target vehicle model and the resource value fluctuation function corresponding to the target vehicle model. This resource value fluctuation function is used to obtain the resource value fluctuation value of the target vehicle model when transported on different dates.

[0060] Exemplarily, the first historical order corresponding to the target vehicle model is acquired, including: acquiring, according to the target vehicle model, a historical order corresponding to the target vehicle model as the first historical order corresponding to the target vehicle model. In a possible implementation manner, a plurality of historical orders are stored in the information center 101, and according to the target vehicle model, a historical order corresponding to the target vehicle model in the stored plurality of historical orders is acquired as the first historical order corresponding to the target vehicle model. In another possible implementation manner, the historical orders are stored in another device, the information center 101 sends a request for acquiring a historical order corresponding to the target vehicle model to the another device, and receives the historical order corresponding to the target vehicle model sent by the another device in response to the request as the first historical order corresponding to the target vehicle model.

[0061] Exemplarily, the first historical order includes a historical loading date and a historical resource value of the target vehicle model transported according to the target transportation line on the historical loading date. It should be noted that, since the supplier and the carrier can reach an agreement according to the cargo information to form a corresponding order, the information center 101 can store the order as a historical order after the cargo transportation task in the order is completed, so that the historical order will contain relevant information in the cargo information; of course, the first historical order can also include other information, which is not limited by the embodiments of the present application. In a possible implementation manner, the resource value fluctuation function corresponding to the target vehicle model includes but is not limited to 2021 and 2022.

[0062] 2021, at least one candidate resource value fluctuation function is acquired, and one candidate resource value fluctuation function corresponds to one vehicle model.

[0063] Exemplarily, the at least one candidate resource value fluctuation function includes but is not limited to 20211 to 20213.

[0064] 20211, a plurality of second historical orders are acquired.

[0065] Exemplarily, the second historical order includes 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. Exemplarily, the historical vehicle model includes the target vehicle model.

[0066] Exemplarily, the historical transportation route can be direct route information, such as from city A to city B, or route information determined according to the loading address and the unloading address included in the second historical order, such as matching the loading address, the unloading address and the plurality of reference regions; determining the historical transportation route based on the reference region matched with the loading address and the reference region matched with the unloading address. Exemplarily, the loading address is matched with the reference region successfully in response to that the loading address is located in the reference region; the unloading address is matched with the reference region successfully in response to that the unloading address is located in the reference region. For example, the plurality of reference regions include city A and city B, the loading address is a certain district of city A, and the unloading address is a certain district of city B, then the loading address is matched with the reference region city A successfully, the unloading address is matched with the reference region city B successfully, and the historical transportation route is from city A to city B.

[0067] In a possible implementation, the plurality of second historical orders are obtained, including: obtaining a reference number of second historical orders. The reference number can be set according to experience or actual demand, and the embodiments of the present application do not limit this. For example, all historical orders stored in the information center 101 are obtained as the plurality of second historical orders. It should be noted that the historical vehicle models included in the plurality of second historical orders can be multiple, or only the target vehicle model, and the target vehicle model can be one of the plurality of historical vehicle models. Since the historical vehicle models included in the plurality of second historical orders can be multiple, the subsequent operations corresponding to each historical vehicle model can be performed according to the historical vehicle models included in the second historical orders, for example, the data in the second historical orders corresponding to each historical vehicle model is obtained respectively.

[0068] In another possible implementation, the plurality of second historical orders are obtained, including: obtaining a plurality of historical orders corresponding to the target vehicle model according to the target vehicle model, and taking the plurality of historical orders corresponding to the target vehicle model as the plurality of second historical orders. It should be noted that this way of obtaining the plurality of second historical orders has the same principle as the above-mentioned process of obtaining the first historical order corresponding to the target vehicle model, and will not be repeated here.

[0069] 20212, for the plurality of second historical orders including the same historical vehicle model, obtaining a weighted change ratio corresponding to the historical vehicle model based on the order quantity of the plurality of second historical orders, the plurality of historical transportation routes and the plurality of historical resource values, the weighted change ratio being used to indicate the change of the resource value transported by the historical vehicle model on each historical loading date.

[0070] Exemplarily, in a case where the historical vehicle models included in the obtained second historical orders are multiple, for any historical vehicle model in the multiple historical vehicle models, the order quantity of the multiple second historical orders used to obtain the weighted variation ratio corresponding to the any historical vehicle model, the historical transportation routes included in each of the multiple second historical orders including the any historical vehicle model, and the historical resource values included in each of the multiple second historical orders including the any historical vehicle model are all for the multiple second historical orders including the any historical vehicle model. That is, for the any historical vehicle model, the 20212 includes: obtaining the weighted variation ratio corresponding to the any historical vehicle model based on the order quantity of the multiple second historical orders including the any historical vehicle model, the historical transportation routes included in each of the multiple second historical orders including the any historical vehicle model, and the historical resource values included in each of the multiple second historical orders including the any historical vehicle model.

[0071] In some embodiments, in a case where the historical vehicle models included in the multiple second historical orders are multiple, the 20212 includes performing the operation of obtaining the weighted variation ratio corresponding to the same historical vehicle model for the multiple second historical orders including the same historical vehicle model, that is, in a case where the historical vehicle models included in the obtained multiple second historical orders are multiple, the 20212 performs the operation of obtaining the weighted variation ratio corresponding to each of the multiple historical vehicle models. It should be noted that the order of obtaining the weighted variation ratio corresponding to each of the multiple historical vehicle models is not limited in the embodiments of the present application, and the operation of obtaining the weighted variation ratio corresponding to each of the multiple historical vehicle models can be performed simultaneously, or the operation of obtaining the weighted variation ratio corresponding to one historical vehicle model can be performed first, and then the operation of obtaining the weighted variation ratio corresponding to other historical vehicle models can be performed.

[0072] In other embodiments, in a case where the historical vehicle models included in the multiple second historical orders are only the target vehicle model, that is, the historical vehicle models in the multiple second historical orders are only one vehicle model, the multiple second historical orders are the second historical orders including the same historical vehicle model, and the 20212 includes: obtaining the weighted variation ratio corresponding to the target vehicle model for the second historical orders including the target vehicle model, that is, performing the operation of obtaining only the weighted variation ratio corresponding to the target vehicle model by the 20212.

[0073] It should be noted that in a case where the historical vehicle models included in the obtained second historical orders are multiple, for each of the historical vehicle models, the operation of obtaining the weighted variation ratio corresponding to the historical vehicle model can be performed, and the principle of obtaining the weighted variation ratio corresponding to each of the historical vehicle models is the same. Next, the process of obtaining the weighted variation ratio corresponding to one historical vehicle model is taken as an example for description, and in a case where there are multiple historical vehicle models, the obtaining process can be performed respectively for each of the historical vehicle models to obtain the weighted variation ratio corresponding to each of the historical vehicle models. Exemplarily, the operation of obtaining the weighted variation ratio corresponding to the historical vehicle model based on the order quantity of the multiple second historical orders, the multiple historical transportation routes, and the multiple historical resource values includes but is not limited to 1-1 to 1-4.

[0074] 1-1, based on the order quantity of the plurality of second historical orders and the plurality of historical transportation routes, obtaining the order quantity ratio of the historical vehicle model transported on each historical loading date according to each historical transportation route.

[0075] Exemplarily, the each historical loading date is a historical loading date included in each second historical order in the plurality of second historical orders, and the each historical transportation route is each historical transportation route in the plurality of historical transportation routes.

[0076] In a possible implementation, the 1-1 includes: based on the order quantity of the plurality of second historical orders and the plurality of historical transportation routes, obtaining the total order quantity of the historical vehicle model transported on the each historical loading date and the order quantity of the historical vehicle model transported on the each historical loading date according to the each historical transportation route; for each historical loading date, determining the ratio of the order quantity of the historical vehicle model transported on the historical loading date according to each historical transportation route to the total order quantity of the historical vehicle model transported on the historical loading date as the order quantity ratio of the historical vehicle model transported on the historical loading date according to each historical transportation route.

[0077] That is, for any historical loading date in the each historical loading date and any historical transportation route in the each historical transportation route, the order quantity ratio of the historical vehicle model transported on the any historical loading date according to the any historical transportation route is the ratio of the order quantity of the historical vehicle model transported on the any historical loading date according to the any historical transportation route to the total order quantity of the historical vehicle model transported on the any historical loading date.

[0078] Exemplarily, based on the order quantity of the plurality of second historical orders and the plurality of historical transportation routes, the order quantity 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 1:

[0079]

[0080] 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, wc k,i,j is the order quantity ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation route, CNT k,i,j is the order quantity of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation route.

[0081] For example, the historical vehicle model is a 4.5-meter vehicle model, the historical loading dates include January 1, 2021, January 2, 2021, and January 3, 2021, the historical transportation routes include A route, B route, C route, D route, and E route, and the order quantity of the historical vehicle model transported according to each historical transportation route on each historical loading date is shown in Table 1.

[0082] Table 1

[0083]

[0084] According to the content of Table 1, for January 1, 2021, the order quantity ratio of the A route is 8 / 20, the order quantity ratio of the B route is 2 / 20, the order quantity ratio of the C route is 1 / 20, the order quantity ratio of the D route is 0 / 20, and the order quantity ratio of the E route is 9 / 20. The order quantity ratios of the historical vehicle model transported according to each historical transportation route on other historical loading dates in Table 1 are obtained in the same way as the above order quantity ratios, and will not be described here. It should be noted that the historical loading dates, historical transportation routes, and order quantities in Table 1 are only examples for illustrating the embodiments of the present application, and the embodiments of the present application are not limited thereto.

[0085] For example, before obtaining the order quantity ratios of the historical vehicle model transported according to each historical transportation route on each historical loading date, the method further includes: processing the order quantities of the historical vehicle model transported according to each historical transportation route on each historical loading date according to a sparsity threshold, and performing the operation of obtaining the order quantity ratios of the historical vehicle model transported according to each historical transportation route on each historical loading date based on the processed order quantities.

[0086] For example, processing the order quantities of the historical vehicle model transported according to each historical transportation route on each historical loading date according to a sparsity threshold includes: comparing the order quantities of the historical vehicle model transported according to each historical transportation route on each historical loading date with the sparsity threshold; for each historical loading date and each historical transportation route, in response to the order quantity of the historical vehicle model transported according to the historical transportation route on the historical loading date being less than the sparsity threshold, setting the order quantity of the historical vehicle model transported according to the historical transportation route on the historical loading date to zero; and in response to the order quantity of the historical vehicle model transported according to the historical transportation route on the historical loading date not being less than the sparsity threshold, keeping the order quantity of the historical vehicle model transported according to the historical transportation route on the historical loading date unchanged. It should be noted that the sparsity threshold can be set according to experience or actual demand, and the embodiments of the present application are not limited thereto.

[0087] For example, still taking the historical loading dates, historical transportation routes, and order quantities shown in Table 1 as an example, the sparsity threshold is 2, and the processed order quantities are shown in Table 2.

[0088] Table 2

[0089]

[0090] According to the processed order quantity shown in Table 2, the order quantity of the historical vehicle model transported according to the A route-E route from January 1, 2021 to January 3, 2021 can be obtained as shown in Table 3.

[0091] Table 3

[0092]

[0093]

[0094] Since the order quantity of the historical vehicle model transported according to a historical transportation route on a historical loading date is small for the historical orders corresponding to the historical vehicle model on the historical loading date, the order quantity of the historical transportation route has less influence on the total order quantity of the historical vehicle model transported on the historical loading date. By processing the order quantity of the historical vehicle model transported according to each historical transportation route on each historical loading date according to the sparsity threshold, the order quantity less than the sparsity threshold is set to zero, which can improve the efficiency of obtaining the weighted change ratio corresponding to the historical vehicle model, and further improve the efficiency of obtaining the candidate resource value fluctuation function corresponding to the historical vehicle model.

[0095] 1-2, 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.

[0096] In one possible implementation, the transportation mileage corresponding to the historical transportation route is the transportation mileage transported according to the historical transportation route. Illustratively, the 1-2 includes: obtaining the total transportation mileage of the historical vehicle model transported on each historical loading date and the transportation mileage of the historical vehicle model transported according to each historical transportation route on each historical loading date; for each historical loading date, the ratio of the transportation mileage of the historical vehicle model transported according to each historical transportation route on the historical loading date to the total transportation mileage of the historical vehicle model transported on the historical loading date is determined as the transportation mileage ratio of the historical vehicle model transported according to each historical transportation route on the historical loading date.

[0097] That is, for any historical loading date of the historical loading dates and any historical transportation line of the historical transportation lines, the transportation mileage ratio of the historical vehicle model transported on the any historical loading date according to the any historical transportation line is a ratio of the transportation mileage of the historical vehicle model transported on the any historical loading date according to the any historical transportation line to a sum of the transportation mileages of the historical vehicle model transported on the any historical loading date.

[0098] In a possible implementation, the transportation mileage ratios of the historical vehicle model transported on the historical loading dates according to the historical transportation lines are obtained according to the following formula 2 based on the transportation mileages corresponding to the historical transportation lines:

[0099]

[0100] 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, wd k,i,j is the transportation mileage ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line, DIS k,i,j is the transportation mileage of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line.

[0101] In another possible implementation, the transportation mileage ratios of the historical vehicle model transported on the historical loading dates according to the historical transportation lines are obtained according to the following formula 3 based on the transportation mileages corresponding to the historical transportation lines:

[0102]

[0103] 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, wd k,i,j is the transportation mileage ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line, DIS k,i,j is the transportation mileage of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line, log represents logarithmic operation, and e is a natural constant. For example, e = 2.71828··· is an irrational number. The method is more flexible in obtaining the transportation mileage ratio.

[0104] In a possible implementation, the transportation mileages of the historical vehicle model transported on the historical loading dates according to the historical transportation lines are obtained based on navigation information of the historical vehicle model transported on the historical loading dates according to the historical transportation lines.

[0105] In another possible implementation, the transportation mileage of the historical vehicle model transported according to each historical transportation line at each historical loading date is obtained in the following manner: the actual mileage of the historical vehicle model transported according to each historical transportation line at each historical loading date is obtained; and based on the actual mileage, the transportation mileage of the historical vehicle model transported according to each historical transportation line at each historical loading date is obtained. For example, in response to the existence of multiple actual mileages of the historical vehicle model transported according to the same historical transportation line at the same historical loading date, the average value of the multiple actual mileages is determined as the transportation mileage of the historical vehicle model transported according to the historical transportation line at the historical loading date. For example, the actual mileage is the actual transportation mileage generated when the historical vehicle model is transported according to a historical transportation line. Since one second historical order can include one historical transportation line, one second historical order can correspond to one actual mileage.

[0106] For example, in Table 1, the historical vehicle model is a 4.5-meter vehicle model, the number of orders of the historical vehicle model transported according to the A line on January 1, 2021 is 8, and one order corresponds to one actual mileage, so that the average value of the 8 actual mileages can be determined as the transportation mileage of the historical vehicle model transported according to the A line on January 1, 2021. It should be noted that in the case where the historical vehicle model has multiple actual mileages transported according to the same historical transportation line at the same historical loading date, the transportation mileage of the historical vehicle model transported according to the historical transportation line at the historical loading date can also be determined in other manners. For example, the maximum value of the multiple actual mileages is determined as the transportation mileage. The method is more flexible in obtaining the transportation mileage of the historical vehicle model transported according to each historical transportation line at each historical loading date.

[0107] 1-3, based on the multiple historical resource values, obtaining a resource value change ratio of the historical vehicle model transported according to each historical transportation line at each historical loading date.

[0108] In one possible implementation, the 1-3 includes: obtaining historical resource values of the historical vehicle model transported according to each historical transportation line at each historical loading date; and for the same historical transportation line, obtaining a ratio of the historical resource value of the historical vehicle model transported according to the historical transportation line at each historical loading date to the historical resource value of the historical vehicle model transported according to the historical transportation line at the previous day of each historical loading date.

[0109] That is, for any historical loading date of the historical loading dates and any historical transportation route of the historical transportation routes, the resource value change ratio of the historical vehicle model transported on the any historical loading date according to the any historical transportation route is a ratio of a historical resource value of the historical vehicle model transported on the any historical loading date according to the any historical transportation route to a historical resource value of the historical vehicle model transported on a day before the any historical loading date according to the any historical transportation route.

[0110] In a possible implementation, based on the plurality of historical resource values, the 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:

[0111]

[0112] 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 routes, PT k,i+1,j is the resource value change ratio of the historical vehicle model k transported on the i+1th historical loading date according to the jth historical transportation route, p k,i,j is the historical resource value of the historical vehicle model k on the ith historical loading date according to the jth historical transportation route.

[0113] In a possible implementation, obtaining the historical resource values of the historical vehicle model transported on each historical loading date according to each historical transportation route comprises: for the historical resource values of the historical vehicle model transported on each historical loading date according to each historical transportation route, in response to the existence of a plurality of historical resource values of the historical vehicle model transported on the same historical loading date according to the same transportation route, determining a median of the plurality of historical resource values as the historical resource value of the historical vehicle model transported on the historical loading date according to the historical transportation route. It should be noted that in the case of the existence of a plurality of historical resource values of the historical vehicle model transported on the same historical loading date according to the same transportation route, any one of a maximum value, a minimum value or an average value of the plurality of historical resource values can also be determined as the historical resource value of the historical vehicle model transported on the historical loading date according to the historical transportation route, and the embodiments of the present application do not limit this.

[0114] It should be noted that the 1-1 to 1-3 can be executed simultaneously, or one step can be executed first and then the other two steps, and the present application does not limit this.

[0115] 1-4, based on the order quantity ratio, the transportation mileage ratio and the resource value change ratio, obtaining a weighted change ratio of the historical vehicle model transported on each historical loading date.

[0116] It should be noted that the order quantity ratio is the order quantity ratio of the historical vehicle model transported according to each historical transportation line 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 line on each historical loading date, and the resource data change ratio is the resource value change ratio of the historical vehicle model transported according to each historical transportation line on each historical loading date.

[0117] In a possible implementation, the 1-4 includes: for each historical loading date, determining resource value influence coefficients of each historical transportation line based on the order quantity ratio and the transportation mileage ratio of each historical transportation line, the resource value influence coefficient being used to indicate an influence degree of the resource value change ratio corresponding to each historical transportation line on a weighted change ratio of the historical vehicle model transported on the historical loading date; and obtaining the weighted change ratio of the historical vehicle model transported on the historical loading date based on the resource value influence coefficients of each historical transportation line and the resource value change ratios of each historical transportation line. For example, for any historical loading date in each historical loading date and any historical transportation line in each historical transportation line, the greater the resource value influence coefficient of the any historical transportation line, the greater the influence degree of the resource value change ratio corresponding to the any historical transportation line on the weighted change ratio of the historical vehicle model transported on the historical loading date; the smaller the resource value influence coefficient of the any historical transportation line, the smaller the influence of the resource value change ratio corresponding to the any historical transportation line on the weighted change ratio of the historical vehicle model transported on the historical loading date.

[0118] In a possible implementation, the weighted change ratio of the historical vehicle model transported on each historical loading date is obtained based on the order quantity ratio, the transportation mileage ratio and the resource value change ratio according to the following formula 5:

[0119]

[0120] 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, and PWi,j is the weighted change ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line. k,i PWi,j is the weighted change ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line. k,i,j PWi,j is the order quantity ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line. k,i,j PWi,j is the transportation mileage ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line. k,i,j PWi,j is the resource value change ratio of the historical vehicle model k transported on the i th historical loading date according to the j th historical transportation line.

[0121] For example, in the formula 5, is a resource value influence coefficient of the jth historical transportation line for the historical vehicle model k and the ith historical loading date.

[0122] 20213, obtaining a candidate resource value fluctuation function corresponding to each historical vehicle model based on the weighted variation ratio corresponding to each historical vehicle model.

[0123] Since the weighted variation ratio corresponding to each historical vehicle model can be obtained in 20212, for each historical vehicle model, a candidate resource value fluctuation function corresponding to the historical vehicle model can be obtained based on the weighted variation ratio corresponding to the historical vehicle model. Exemplarily, 20213 includes but is not limited to 2-1 and 2-2.

[0124] 2-1, obtaining a third resource value fluctuation value of each historical vehicle model transported on each historical loading date based on the weighted variation ratio corresponding to each historical vehicle model, the third resource value fluctuation value being used to indicate the fluctuation of the resource value transported by the historical vehicle model on the continuous reference number of historical loading dates.

[0125] In one possible implementation, the third resource value fluctuation value of each historical vehicle model transported on each historical loading date is obtained based on the weighted variation ratio corresponding to each historical vehicle model according to the following formula 6:

[0126]

[0127] wherein y k,i is the third resource value fluctuation value of the historical vehicle model k transported on the ith historical loading date, t is the reference number of days, and PW k,i is the weighted variation ratio of the historical vehicle model k transported on the ith historical loading date. That is, the third resource value fluctuation value of the historical vehicle model k transported on the ith historical loading date is obtained by multiplying the weighted variation ratio of the historical vehicle model k transported on the ith-t date to the weighted variation ratio of the historical vehicle model k transported on the ith historical loading date. It should be noted that the reference number of days can be set according to experience or actual demand, and the embodiments of the present application do not limit this.

[0128] In another possible implementation, the third resource value fluctuation value of each historical vehicle model transported on each historical loading date is obtained based on the weighted variation ratio corresponding to each historical vehicle model according to the following formula 7 and formula 8:

[0129]

[0130]

[0131] wherein z k,i is the initial fluctuation value of the historical vehicle model k transported on the ith historical loading date, t is the reference number of days, and PW k,ia weighted variable change ratio of the historical vehicle model k transported on the i-th historical loading date, y k,i a third resource numerical fluctuation value of the historical vehicle model k transported on the i-th historical loading date, and a is a constant. It should be noted that the reference days t and the constant a can be set according to experience or actual demand, and the embodiments of the present application do not limit this. For example, a is a constant between 0 and 1. For example, a is 0.6. The method is more flexible in obtaining the third resource numerical fluctuation value of each historical vehicle model transported on each historical loading date.

[0132] 2-2, based on the third resource numerical fluctuation value, obtaining the candidate resource numerical fluctuation function corresponding to each historical vehicle model.

[0133] In one possible implementation, based on the third resource numerical fluctuation value, a least squares method is used to fit to obtain the candidate resource numerical fluctuation function corresponding to each historical vehicle model. For example, for each historical vehicle model, based on the third resource numerical fluctuation value of the historical vehicle model transported on the consecutive m historical loading dates, a p-order curve is fitted by using the least squares method, and the fitted p-order curve is taken as the candidate resource numerical fluctuation function corresponding to the historical vehicle model. It should be noted that since there can be multiple historical loading dates, the third resource numerical fluctuation value of the historical vehicle model transported on multiple consecutive historical loading dates can be obtained, and the more consecutive historical loading dates, the more accurate the candidate resource numerical fluctuation function corresponding to the historical vehicle model fitted by using the least squares method. In addition, m and p can be set according to experience or demand, and the embodiments of the present application do not limit this. For example, a 2-order curve f(x) = ax 2 +bx + c, or a 3-order curve f(x) = ax 3 +bx 2 +cx + d is fitted by using the least squares method.

[0134] For example, taking m as 5 and p as 2 as an example, the third resource numerical fluctuation value of the 9.6-meter vehicle model and the 17.5-meter vehicle model transported on each historical loading date can be as shown in Table 4.

[0135] Table 4

[0136]

[0137] Taking the candidate resource numerical fluctuation function corresponding to the 9.6-meter vehicle model as an example, based on the third resource numerical fluctuation value of the 9.6-meter vehicle model transported from March 11, 2021 to March 15, 2021, the following equation group including 5 polynomials is obtained:

[0138]

[0139] Solve a, b, c by least square method, and bring a, b, c into f(x) = ax 2 +bx+c to get the candidate resource value fluctuation function corresponding to the 9.6-meter vehicle. It should be noted that the principle of obtaining the candidate resource value fluctuation function corresponding to other historical vehicle models is the same as the above-mentioned process principle of obtaining the candidate resource value fluctuation function corresponding to the 9.6-meter vehicle. Here, it will not be repeated.

[0140] 2022, obtain the resource value fluctuation function corresponding to the target vehicle model in the at least one candidate resource value fluctuation function.

[0141] Since in 2021, the historical vehicle models included in the plurality of second historical orders can be multiple or only the target vehicle model, the candidate resource value fluctuation function includes two cases: case one, the candidate resource value fluctuation function includes candidate resource value fluctuation functions corresponding to multiple historical vehicle models respectively; case two, the candidate resource value fluctuation function is the candidate resource value fluctuation function corresponding to the target vehicle model. Exemplarily, for case one, the candidate resource value fluctuation function corresponding to the target vehicle model in the candidate resource value fluctuation function is taken as the resource value fluctuation function corresponding to the target vehicle model; for case two, the candidate resource value fluctuation function corresponding to the target vehicle model is the resource value fluctuation function corresponding to the target vehicle model.

[0142] 203, based on the resource value fluctuation function and the first historical order, determining the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line.

[0143] Exemplarily, the 203 includes but is not limited to 2031 and 2032.

[0144] 2031, based on the resource value fluctuation function, obtaining a first resource value fluctuation value of the target vehicle model transported on the target loading date and a second resource value fluctuation value of the target vehicle model transported on the historical loading date.

[0145] Exemplarily, the historical loading date is the historical loading date included in the first historical order. In some embodiments, the target loading date and the historical loading date are brought into the resource value fluctuation function to obtain the first resource value fluctuation value of the target vehicle model transported on the target loading date and the second resource value fluctuation value of the target vehicle model transported on the historical loading date.

[0146] 2032, based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, determining the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line.

[0147] Wherein, the historical resource value is the historical resource value of the target vehicle model transported on the historical loading date according to the target transportation line included in the first historical order.

[0148] Exemplarily, since the first resource value fluctuation value of the target vehicle model transported on the target loading date and the second resource value fluctuation value of the target vehicle model transported on the historical 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 quantity of historical loading dates, therefore, based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, obtaining the candidate resource value of the target vehicle model transported on the target loading date according to the target transportation line includes: obtaining the ratio of the first resource value fluctuation value and the second resource value fluctuation value, the ratio is used to indicate the resource value fluctuation of the target vehicle model transported in the first unit time, wherein the first unit time is the time difference between the candidate loading date and the historical loading date; obtaining the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value of the target vehicle model transported on the historical loading date according to the target transportation line and the ratio.

[0149] Exemplarily, based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line is determined according to the following formula 9:

[0150]

[0151] Wherein, P l is the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line, P h is the historical resource value of the target vehicle model transported on the historical loading date according to the target transportation line, f(l) is the first resource value fluctuation value of the target vehicle model transported on the target loading date, and f(h) is the second resource value fluctuation value of the target vehicle model transported on the historical loading date. Exemplarily, in the formula 9, is used to indicate the resource value fluctuation of the target vehicle model transported on q loading dates, and q is the time difference between the target loading date and the historical loading date.

[0152] In a possible implementation, the first resource value fluctuation value of the target vehicle model transported on the target loading date 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 line is M yuan, and then the resource value of the target vehicle model transported on the target loading date according to the target transportation line is M×f(1+q) / f(1) yuan, and q is the time difference between the target loading date and the historical loading date.

[0153] For example, the target vehicle model is a 4.5-meter vehicle model, the historical loading date is May 15, 2021, the target loading date is May 16, 2021, the target transportation line is A line, the historical resource value of the 4.5-meter vehicle model transported on the A line on May 15, 2021 is M1 yuan, the second resource value fluctuation value of the 4.5-meter vehicle model transported on May 15, 2021 is f(1), since the time difference between May 16, 2021 and May 15, 2021 is 1 day, the first resource value fluctuation value of the 4.5-meter vehicle model transported on May 16, 2021 is f(2), and the reference resource value of the 4.5-meter vehicle model transported on the A line on May 16, 2021 is M1 x f(2) / f(1) yuan.

[0154] It should be noted that the second resource value fluctuation value of the target vehicle model transported on the historical loading date can also be other values, for example, the second resource value fluctuation value of the target vehicle model transported on the historical loading date is f(2), and the first resource value fluctuation value of the target vehicle model transported on the target loading date is f(2+q), where q is the time difference between the candidate loading date r and the historical loading date. The application embodiments do not limit the way of determining the second resource value fluctuation of the target vehicle model transported on the historical loading date based on the historical loading date and the resource value fluctuation function. The application embodiments determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line in a more flexible way based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value.

[0155] In some embodiments, after determining the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line, the method further comprises: automatically filling the reference resource value into the cargo source information. Since the target vehicle model, the target loading date, the target transportation line and the like can be obtained from the cargo source information or through the information uploaded by the supplier, after obtaining the target vehicle model, the target loading date and the target transportation line from the cargo source information, the information center 101 can automatically fill the reference resource value in the cargo source information. In other embodiments, after obtaining the target vehicle model, the target loading date and the target transportation line uploaded by the supplier, and determining the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line, the method further comprises: the information center 101 generates the cargo source information containing the reference resource value for the supplier, or displays the reference resource value for the supplier.

[0156] Exemplarily, the information center 101 displays the determined reference resource value, so that the supplier can obtain the reference resource value, and then determine the reference resource value as the resource value borne by the transportation of the cargo source. Of course, the supplier can also determine other resource values as the resource value borne by the transportation of the cargo source, which is not limited in the present application.

[0157] The method provided by the embodiment of the present application can automatically determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line, by obtaining the historical order corresponding to the target vehicle model and the resource value fluctuation function, and the determination efficiency of the reference resource value is high. In addition, since the resource value fluctuation function corresponding to a vehicle model is obtained based on the historical order corresponding to the vehicle model, the method can obtain a resource value fluctuation function with high accuracy, thereby improving the accuracy of the determination of the reference resource value.

[0158] Figure 3 Fig. 1 shows a structural schematic diagram of a resource value determination device provided by an embodiment of the present application, which comprises: Figure 3 Fig. 1 shows a structural schematic diagram of a resource value determination device provided by an embodiment of the present application, which comprises:

[0159] The first obtaining module 301 is configured to obtain a target vehicle model, a target transportation line and a target loading date.

[0160] The second obtaining module 302 is configured to obtain a first historical order corresponding to the target vehicle model and a resource value fluctuation function corresponding to the target vehicle model, and the resource value fluctuation function is used to obtain a resource value fluctuation value of the target vehicle model transported on different dates.

[0161] The determination module 303 is configured to determine a reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the resource value fluctuation function and the first historical order.

[0162] In a possible implementation, the first historical order comprises a historical loading date and a historical resource value of the target vehicle model transported on the historical loading date according to the target transportation line; the determination module 303 is configured to obtain a first resource value fluctuation value of the target vehicle model transported on the target loading date and a second resource value fluctuation value of the target vehicle model transported on the historical loading date based on the resource value fluctuation function; and determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value.

[0163] In a possible implementation, the determination module 303 is configured to determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value according to the following formula:

[0164] In a possible implementation, the first historical order comprises a historical loading date and a historical resource value of the target vehicle model transported on the historical loading date according to the target transportation line; the determination module 303 is configured to obtain a first resource value fluctuation value of the target vehicle model transported on the target loading date and a second resource value fluctuation value of the target vehicle model transported on the historical loading date based on the resource value fluctuation function; and determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value.

[0163] In a possible implementation, the determination module 303 is configured to determine the reference resource value of the target vehicle model transported on the target loading date according to the target transportation line based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value according to the following formula:

[0164]

[0165] Among them, P l P is a reference resource value for the target vehicle type transported along the target transportation route on the target loading date. h Here, f(l) represents the historical resource value, f(h) represents the fluctuation value of the first resource value, and f(h) represents the fluctuation value of the second resource value.

[0166] In one possible implementation, the second acquisition module 302 is used to acquire at least one candidate resource value fluctuation function, where each candidate resource value fluctuation function corresponds to a vehicle model; and to acquire the resource value fluctuation function corresponding to the target vehicle model from among the at least one candidate resource value fluctuation function.

[0167] In one possible implementation, the second acquisition module 302 is used to acquire multiple second historical orders, each including a historical vehicle model, a historical loading date, a historical transportation route, and historical resource values. The historical resource values ​​are the historical resource values ​​transported by the historical vehicle model on the historical loading date according to the historical transportation route. For multiple second historical orders including the same historical vehicle model, based on the order quantity, multiple historical transportation routes, and multiple historical resource values ​​of the multiple second historical orders, a weighted variation ratio corresponding to the historical vehicle model is acquired. This weighted variation ratio is used to indicate the change in resource values ​​transported by the historical vehicle model on each historical loading date. Based on the weighted variation ratios corresponding to each historical vehicle model, a candidate resource value fluctuation function corresponding to each historical vehicle model is acquired.

[0168] In one possible implementation, the second acquisition module 302 is used to acquire a third resource value fluctuation value for each historical vehicle model transported on each historical loading date based on the weighted change ratio corresponding to each historical vehicle model. The third resource value fluctuation value is used to indicate the resource value fluctuation of the historical vehicle model transported on a consecutive reference number of historical loading dates. Based on the third resource value fluctuation value, the resource value fluctuation function corresponding to each historical vehicle model is acquired.

[0169] The aforementioned device, by acquiring historical orders and resource value fluctuation functions corresponding to the target vehicle model, can automatically determine the reference resource value for the target vehicle model transported along the target transportation route on the target loading date, resulting in high efficiency in determining the reference resource value. Furthermore, since the resource value fluctuation function corresponding to a vehicle model is obtained based on historical orders for that model, the device can acquire a highly accurate resource value fluctuation function, thereby improving the accuracy of the reference resource value determination.

[0170] It should be understood that the above Figure 3The apparatus provided in the embodiments of the present application is only taken as an example in the implementation of the functions of the apparatus, and in actual applications, the above-mentioned functions can be completed by different functional modules according to the 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 above-mentioned embodiments and the corresponding method embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be repeated here.

[0171] Figure 4 A structural block diagram of an electronic device 400 provided by an example embodiment of the present application is shown. The electronic device 400 can be a portable mobile terminal, such as a smartphone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV), a notebook computer, or a desktop computer. The electronic device 400 can also be referred to as a user device, a portable terminal, a laptop terminal, a desktop terminal, or other names.

[0172] Generally, the electronic device 400 includes a processor 401 and a memory 402.

[0173] The processor 401 can include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 401 can be implemented in at least one of a hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 401 can also include a main processor and a coprocessor. The main processor is a processor for processing data in an awake state, also known as a CPU (Central Processing Unit). The coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 401 can be integrated with a GPU (Graphics Processing Unit) for rendering and drawing the content to be displayed by the display screen. In some embodiments, the processor 401 can also include an AI (Artificial Intelligence) processor for processing machine learning-related computing operations.

[0174] The memory 402 can include one or more computer-readable storage media. The computer-readable storage media can be non-transitory. The memory 402 can also include high-speed random access memory and can include non-volatile memory, such as one or more magnetic disk storage devices, optical storage devices, flash memory devices, or other non-volatile solid-state storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 402 stores at least one instruction for execution by the processor 401 to implement the method for determining a resource value provided by the method embodiments of the present application.

[0175] In some embodiments, the electronic device 400 can further optionally include a peripheral device interface 403 and at least one peripheral device. The processor 401, the memory 402, and the peripheral device interface 403 can be connected by a bus or a signal line. Each peripheral device can be connected to the peripheral device interface 403 through a bus, a signal line, or a circuit board. Specifically, the peripheral device includes at least one of a radio frequency circuit 404, a display screen 405, a camera assembly 406, an audio circuit 407, a positioning assembly 408, and a power supply 409.

[0176] The peripheral device interface 403 can be used to connect at least one peripheral device related to input / output (I / O) to the processor 401 and the memory 402. In some embodiments, the processor 401, the memory 402, and the peripheral device interface 403 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 401, the memory 402, and the peripheral device interface 403 can be implemented on a separate chip or circuit board, and the present embodiments are not limited in this regard.

[0177] The radio frequency circuit 404 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 404 communicates with a communication network and other communication devices through electromagnetic signals. The radio frequency circuit 404 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the radio frequency circuit 404 includes an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and the like. The radio frequency circuit 404 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes but is not limited to the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G, and 5G), a wireless local area network, and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 404 can also include NFC (Near Field Communication) related circuitry, and the present application is not limited in this regard.

[0178] The display screen 405 is configured to display a UI (User Interface). The UI can include graphics, text, icons, video, and any combination thereof. When the display screen 405 is a touch display screen, the display screen 405 is further configured to capture touch signals on or above the surface of the display screen 405. The touch signals can be input to the processor 401 as control signals for processing. In this case, the display screen 405 can also be configured to provide virtual buttons and / or virtual keyboard, also known as soft buttons and / or soft keyboard. In some embodiments, the display screen 405 can be one, disposed on the front panel of the electronic device 400; in other embodiments, the display screen 405 can be at least two, respectively disposed on different surfaces of the electronic device 400 or in a folding design; in other embodiments, the display screen 405 can be a flexible display screen, disposed on a curved surface or a folding surface of the electronic device 400. Even, the display screen 405 can also be disposed in an irregular shape other than a rectangle, i.e., a special-shaped screen. The display screen 405 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), etc.

[0179] The camera assembly 406 is configured to capture images or videos. Optionally, the camera assembly 406 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 back of the terminal. In some embodiments, the rear camera is at least two, which are any one of a main camera, a depth-of-field camera, a wide-angle camera, and a telephoto camera, to realize the background blur function by fusing the main camera and the depth-of-field camera, the panoramic shooting and VR (Virtual Reality) shooting function by fusing the main camera and the wide-angle camera, or other fusion shooting functions. In some embodiments, the camera assembly 406 can further include a flash. The flash can be a single-color-temperature flash or a dual-color-temperature flash. The dual-color-temperature flash refers to the combination of a warm light flash and a cold light flash, which can be used for light compensation under different color temperatures.

[0180] The audio circuit 407 can include a microphone and a speaker. The microphone is used to collect sound waves of a user and an environment, and convert the sound waves into an electrical signal input to the processor 401 for processing, or input to the radio frequency circuit 404 to realize voice communication. For the purpose of stereo sound collection or noise reduction, the microphone can be multiple, and arranged at different parts of the electronic device 400. The microphone can also be an array microphone or an omnidirectional collection microphone. The speaker is used to convert an electrical signal from the processor 401 or the radio frequency circuit 404 into sound waves. The speaker can be a conventional diaphragm speaker, or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only can it convert an electrical signal into a sound wave audible to humans, but also can convert an electrical signal into an inaudible sound wave to humans for ranging purposes, etc. In some embodiments, the audio circuit 407 can also include a headphone jack.

[0181] The positioning component 408 is used to position the current geographic location of the electronic device 400 to realize navigation or LBS (Location Based Service). The positioning component 408 can be a positioning component based on the GPS (Global Positioning System) of the United States, the Beidou system of China, or the Galileo system of Russia.

[0182] The power supply 409 is used to supply power to various components in the electronic device 400. The power supply 409 can be alternating current, direct current, disposable batteries, or rechargeable batteries. When the power supply 409 includes rechargeable batteries, the rechargeable batteries can be wired charging batteries or wireless charging batteries. The wired charging battery is a battery charged through a wired line, and the wireless charging battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0183] In some embodiments, the electronic device 400 further includes one or more sensors 410. The one or more sensors 410 include, but are not limited to, an acceleration sensor 411, a gyroscope sensor 412, a pressure sensor 413, a fingerprint sensor 414, an optical sensor 415, and a proximity sensor 416.

[0184] The acceleration sensor 411 can detect the acceleration magnitude in three coordinate axes of the coordinate system established by the electronic device 400. For example, the acceleration sensor 411 can be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 401 can control the display screen 405 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 411. The acceleration sensor 411 can also be used for gaming or user motion data collection.

[0185] The gyroscope sensor 412 can detect the body direction and rotation angle of the electronic device 400, and can collect 3D motions of the user on the electronic device 400 in cooperation with the acceleration sensor 411. The processor 401 can implement the following functions according to the data collected by the gyroscope sensor 412: motion sensing (such as changing the UI according to the tilt operation of the user), image stabilization during shooting, game control, and inertial navigation.

[0186] The pressure sensor 413 can be arranged on the side frame of the electronic device 400 and / or the lower layer of the display screen 405. When the pressure sensor 413 is arranged on the side frame of the electronic device 400, the holding signal of the user on the electronic device 400 can be detected, and the left-hand or right-hand recognition or shortcut operation can be performed by the processor 401 according to the holding signal collected by the pressure sensor 413. When the pressure sensor 413 is arranged on the lower layer of the display screen 405, the controllable control on the UI interface can be controlled by the processor 401 according to the pressure operation of the user on the display screen 405. The controllable control includes at least one of the button control, the scroll bar control, the icon control, and the menu control.

[0187] The fingerprint sensor 414 is used to collect the fingerprint of the user, and the identity of the user can be recognized by the processor 401 according to the fingerprint collected by the fingerprint sensor 414, or by the fingerprint sensor 414 according to the collected fingerprint. When the identity of the user is recognized as a trusted identity, the processor 401 authorizes the user to perform related sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, payment, and changing settings. The fingerprint sensor 414 can be arranged on the front, back, or side of the electronic device 400. When the physical button or the manufacturer's logo is arranged on the electronic device 400, the fingerprint sensor 414 can be integrated with the physical button or the manufacturer's logo.

[0188] The optical sensor 415 is used to collect the ambient light intensity. In one embodiment, the processor 401 can control the display brightness of the display screen 405 according to the ambient light intensity collected by the optical sensor 415. Specifically, when the ambient light intensity is high, the display brightness of the display screen 405 is increased; when the ambient light intensity is low, the display brightness of the display screen 405 is decreased. In another embodiment, the processor 401 can also dynamically adjust the shooting parameters of the camera assembly 406 according to the ambient light intensity collected by the optical sensor 415.

[0189] The proximity sensor 416, also referred to as a distance sensor, is usually arranged on the front panel of the electronic device 400. The proximity sensor 416 is used to collect the distance between the user and the front of the electronic device 400. In an embodiment, when the proximity sensor 416 detects that the distance between the user and the front of the electronic device 400 gradually decreases, the display screen 405 is switched from the bright screen state to the screen-off state under the control of the processor 401; when the proximity sensor 416 detects that the distance between the user and the front of the electronic device 400 gradually increases, the display screen 405 is switched from the screen-off state to the bright screen state under the control of the processor 401.

[0190] Those skilled in the art can understand that the structure shown in the foregoing embodiments is not a limitation on the electronic device 400, and the electronic device 400 can include more or fewer components than those shown in the drawings, or combine certain components, or adopt a different arrangement of components. Figure 4

[0191] Figure 5 FIG. 5 is a structural schematic diagram of a server provided by an embodiment of the present application. The server 500 can have great differences due to different configurations or performances, and can include one or more processors 501 and one or more memories 502. For example, the processor 501 is a central processing unit (CPU). The one or more memories 502 store at least one piece of program code, which is loaded and executed by the one or more processors 501 to implement the resource value determination method provided by the above-mentioned various method embodiments. Of course, the server 500 can also have a wired or wireless network interface, a keyboard, and an input and output interface, and the like, so as to perform input and output. The target server 500 can also include other components for implementing device functions, which are not described herein.

[0192] In an exemplary embodiment, a computer readable storage medium is also provided, and the storage medium stores at least one piece of program code, which is loaded and executed by a processor to enable a computer to implement any of the above-mentioned resource value determination methods.

[0193] Optionally, the above-mentioned computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0194] ​In the example embodiment, a computer program or computer program product is also provided, which stores at least one computer instruction loaded and executed by a processor to enable a computer to implement any of the above resource value determination methods.

[0195] It should be understood that the "multiple" mentioned herein refers to two or more. The "and / or" describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents that the associated objects before and after are in an "or" relationship.

[0196] It should be understood that the above-mentioned sequence numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0197] The above only describes the example embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of determining a resource value, characterized by, The method comprises: acquiring a target vehicle model, a target transportation route and a target loading date; acquiring a first historical order corresponding to the target vehicle model; acquiring at least one candidate resource value fluctuation function, one candidate resource value fluctuation function corresponding to one vehicle model; acquiring a resource value fluctuation function corresponding to the target vehicle model in the at least one candidate resource value fluctuation function, the resource value fluctuation function being used to acquire a resource value fluctuation value of the target vehicle model transported on different dates; determining a reference resource value of the target vehicle model transported on the target transportation route on the target loading date based on the resource value fluctuation function and the first historical order; wherein the acquiring at least one candidate resource value fluctuation function comprises: acquiring a plurality of second historical orders, the second historical orders comprising historical vehicle models, historical loading dates, historical transportation routes and historical resource values, wherein the historical resource values are historical resource values of the historical vehicle models transported on the historical transportation routes on the historical loading dates; 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 and a plurality of historical transportation routes, acquiring an order quantity ratio of the historical vehicle model transported on each historical loading date on each historical transportation route; based on the transportation mileage corresponding to the plurality of historical transportation routes, acquiring a transportation mileage ratio of the historical vehicle model transported on each historical loading date on each historical transportation route; based on the plurality of historical resource values, acquiring a resource value change ratio of the historical vehicle model transported on each historical loading date on each historical transportation route; based on the order quantity ratio, the transportation mileage ratio and the resource value change ratio, acquiring a weighted change ratio of the historical vehicle model transported on each historical loading date, the weighted change ratio being used to indicate the resource value change of the historical vehicle model transported on each historical loading date; based on the weighted change ratio corresponding to each historical vehicle model, acquiring a candidate resource value fluctuation function corresponding to the each historical vehicle model.

2. The method of claim 1, wherein, The first historical order comprises a historical loading date and a historical resource value of the target vehicle model transported on the historical loading date on the target transportation route; The determining of the reference resource value of the target vehicle model transported on the target transportation route on the target loading date based on the resource value fluctuation function and the first historical order comprises: based on the resource value fluctuation function, acquiring a first resource value fluctuation value of the target vehicle model transported on the target loading date and a second resource value fluctuation value of the target vehicle model transported on the historical loading date; based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value, determining the reference resource value of the target vehicle model transported on the target transportation route on the target loading date.

3. The method of claim 2, wherein, The determining of the reference resource value of the target vehicle model transported on the target transportation route on the target loading date based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value comprises: The reference resource value of the target vehicle model transported on the target transportation line on the target loading date is determined according to the following formula based on the historical resource value, the first resource value fluctuation value and the second resource value fluctuation value: Wherein, the is a reference resource value of the target vehicle model transported on the target loading date according to the target transportation line, the is the historical resource value, the is the first resource value fluctuation value, the is the second resource value fluctuation value.

4. The method of claim 1, wherein, The candidate resource value fluctuation function corresponding to each historical vehicle model is obtained based on the weighted change ratio corresponding to each historical vehicle model, including: The third resource value fluctuation value of each historical vehicle model transported on the historical loading date is obtained based on the weighted change ratio corresponding to each historical vehicle model, and the third resource value fluctuation value is used to indicate the resource value fluctuation of the historical vehicle model transported on the continuous reference number of historical loading dates. The candidate resource value fluctuation function corresponding to each historical vehicle model is obtained based on the third resource value fluctuation value.

5. A device for determining resource values, characterized in that, The device comprises: The first acquisition module is configured to acquire a target vehicle model, a target transportation line and a target loading date. The second acquisition module is configured to acquire a first historical order corresponding to the target vehicle model; acquire at least one candidate resource value fluctuation function, one candidate resource value fluctuation function corresponding to one vehicle model; and acquire a resource value fluctuation function corresponding to the target vehicle model in the at least one candidate resource value fluctuation function, the resource value fluctuation function being used to acquire a resource value fluctuation value of the target vehicle model transported on different dates. The determination module is configured to determine a reference resource value of the target vehicle model transported on the target transportation line on the target loading date based on the resource value fluctuation function and the first historical order. The second acquisition module is further configured to acquire a plurality of second historical orders, the second historical order including 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 on the historical loading date on the historical transportation line; for a plurality of second historical orders including the same historical vehicle model, based on the order quantity of the plurality of second historical orders and a plurality of historical transportation lines, an order quantity ratio of the historical vehicle model transported on each historical loading date on each historical transportation line is obtained; based on the transportation mileage corresponding to the plurality of historical transportation lines, a transportation mileage ratio of the historical vehicle model transported on each historical loading date on each historical transportation line is obtained; based on the plurality of historical resource values, a resource value change ratio of the historical vehicle model transported on each historical loading date on each historical transportation line is obtained; based on the order quantity ratio, the transportation mileage ratio and the resource value change ratio, a weighted change ratio of the historical vehicle model transported on each historical loading date is obtained, the weighted change ratio being used to indicate the resource value change of the historical vehicle model transported on each historical loading date; and based on the weighted change ratio corresponding to each historical vehicle model, the candidate resource value fluctuation function corresponding to each historical vehicle model is obtained.

6. An electronic device, comprising: The electronic device comprises a processor and a memory, the memory stores at least one program code or instruction, the at least one program code or instruction is loaded and executed by the processor, so that the electronic device implements the resource value determination method as claimed in any one of claims 1-4.

7. A computer readable storage medium characterized in that, The computer readable storage medium stores at least one program code, the at least one program code is loaded and executed by the processor, so that the computer implements the resource value determination method as claimed in any one of claims 1-4.

8. A computer program product, characterised in that, The computer program product stores at least one computer instruction, the at least one computer instruction is loaded and executed by the processor, so that the computer implements the resource value determination method as claimed in any one of claims 1-4.

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