Intelligent order receiving method and device for freight driver terminal, and medium

Abstract

The invention discloses an intelligent order receiving method and device for a freight driver terminal and a medium, and the method comprises the steps: determining a to-be-delivered order, and extracting a corresponding loading place, an unloading place and cargo information from the to-be-delivered order; according to the loading place, the unloading place and the cargo information, calculating freight information corresponding to the to-be-delivered order; position information of a freight driver terminal is obtained, clustering analysis is carried out on the to-be-delivered orders through the position information, the loading places and the unloading places, preference delivery orders of the freight driver terminal are determined according to a clustering analysis result, and the preference delivery orders are at least one of the to-be-delivered orders; according to a loading place, an unloading place, cargo information and freight information corresponding to the preferred delivery order, a freight code corresponding to the preferred delivery order is generated, and the freight code is directionally pushed to a freight driver terminal; and in response to a preferred delivery order selected by the freight driver terminal according to the freight information, completing an order receiving process of the freight driver terminal.

Description

Technical Field

[0001] This application relates to the technical field of data analysis and data processing, and particularly to an intelligent order receiving method, device, and medium for a freight driver terminal. Background Art

[0002] In traditional freight driver order receiving solutions, most often freight drivers select the orders to be delivered based on factors such as their own location and preferences, relying on the personal experience of freight drivers and the principle of proximity, lacking consideration of the overall supply and demand situation. On the one hand, it may cause freight drivers to miss more favorable orders or need to drive longer distances to receive orders. On the other hand, it may also make it impossible to find freight drivers for some orders to be delivered, resulting in low order receiving efficiency for freight drivers.

[0003] At the same time, during certain peak hours or in specific areas, the demand for order delivery may far exceed the number of available freight drivers, resulting in orders not being delivered in a timely manner, while there may be idle freight drivers in other areas, presenting a problem of uneven supply and demand between freight drivers and delivery orders. Summary of the Invention

[0004] This application provides an intelligent order receiving method, device, and medium for a freight driver terminal to solve at least one of the above technical problems.

[0005] This application adopts the following technical solutions:

[0006] In a first aspect, this application provides an intelligent order receiving method for a freight driver terminal. The method includes: determining an order to be delivered, and extracting the corresponding loading location, unloading location, and cargo information from the order to be delivered, where the cargo information includes at least the cargo type and the cargo quantity; calculating the freight information corresponding to the order to be delivered based on the loading location, the unloading location, and the cargo information; obtaining the location information of the freight driver terminal, and performing clustering analysis on the order to be delivered through the location information, the loading location, and the unloading location to determine the preferred delivery orders of the freight driver terminal according to the results of the clustering analysis, where the preferred delivery orders are at least one of the orders to be delivered; generating a freight code corresponding to the preferred delivery order through the loading location, unloading location, cargo information, and freight information corresponding to the preferred delivery order, and pushing the freight code to the freight driver terminal in a targeted manner; and completing the order receiving process of the freight driver terminal in response to the preferred delivery order selected by the freight driver terminal according to the freight information.

[0007] In a possible implementation manner of the present application, calculating the freight information corresponding to the to-be-delivered order according to the loading location, the unloading location, and the goods information includes: marking the loading location and the unloading location on a preset map, and generating multiple alternative transportation routes based on the markings; calculating the transportation time corresponding to each alternative transportation route, and determining the road condition information corresponding to each alternative transportation route; judging whether the expected delivery time in the to-be-delivered order is empty, and if not, eliminating the alternative transportation routes whose transportation time is later than the expected delivery time; for any one of the remaining alternative transportation routes, calculating the corresponding freight discount factor, where the freight discount factor is related to the transportation time and the road condition information corresponding to the alternative transportation route; and determining the freight information corresponding to the to-be-delivered order according to the freight discount factor.

[0008] In a possible implementation manner of the present application, determining the freight information corresponding to the to-be-delivered order according to the freight discount factor includes: obtaining the immediate freight corresponding to the to-be-delivered order; determining the freight discount factor as the weight of the immediate freight, performing weighted summation on the immediate freight corresponding to the alternative transportation routes, and determining the weighted summation result as the freight information of the to-be-delivered order, where the freight discount factor is positively correlated with the transportation time corresponding to the alternative transportation route and negatively correlated with the road condition information corresponding to the alternative transportation route.

[0009] In a possible implementation manner of the present application, performing clustering analysis on the to-be-delivered order through the location information, the loading location, and the unloading location includes: determining a first transportation distance related to the freight driver terminal through the location information and the loading location, and determining a second transportation distance related to the to-be-delivered order through the loading location and the unloading location; determining the loading and unloading distance corresponding to the to-be-delivered order through the first transportation distance and the second transportation distance; performing clustering analysis on the loading and unloading distance by using a preset clustering algorithm, and recalculating the mean value of the loading and unloading distances of the multiple cluster centers obtained by clustering; and repeating the above operations until there is only the last cluster left to obtain the preferred delivery order.

[0010] In a possible implementation manner of the present application, the preset clustering algorithm adopts the K-Means clustering algorithm, the loading and unloading distance is the weighted summation result of the first transportation distance and the second transportation distance, and the weight corresponding to the first transportation distance is greater than the weight corresponding to the second transportation distance.

[0011] In a possible implementation manner of the present application, after the freight code is directionally pushed to the freight driver terminal, the method further includes: the freight driver terminal reads the information in the freight code and displays the read information in a list form, and the read information at least includes the freight information.

[0012] In a possible implementation manner of the present application, after determining the order to be delivered, the method further includes: judging whether the quantity of the order to be delivered is greater than a preset quantity threshold; if so, generating an order-intensive area according to the loading locations of the orders to be delivered extracted, and the order-intensive area at least includes 1 / 2 of the quantity of the loading locations corresponding to the orders to be delivered; sending allocation information to the freight driver terminals within a preset range of the order-intensive area.

[0013] In a possible implementation manner of the present application, the method further includes: receiving feedback data from the freight driver terminal and the cargo owner terminal for the completed delivery order; optimizing the determination process of the preferred delivery order and the calculation process of the freight information according to the feedback data.

[0014] In a second aspect, the present application further provides an intelligent order receiving device for a freight driver terminal, and the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions that can be executed by the at least one processor, so that the at least one processor determines the order to be delivered, extracts the corresponding loading location, unloading location and cargo information from the order to be delivered, and the cargo information at least includes the cargo type and the cargo quantity; calculates the freight information corresponding to the order to be delivered according to the loading location, the unloading location and the cargo information; obtains the location information of the freight driver terminal, and performs clustering analysis on the order to be delivered through the location information, the loading location and the unloading location, so as to determine the preferred delivery order of the freight driver terminal according to the result of the clustering analysis, and the preferred delivery order is at least one of the orders to be delivered; generates a freight code corresponding to the preferred delivery order through the loading location, unloading location, cargo information and freight information corresponding to the preferred delivery order, and directionally pushes the freight code to the freight driver terminal; and completes the order receiving process of the freight driver terminal in response to the preferred delivery order selected by the freight driver terminal according to the freight information.

[0015] In a third aspect, the present application also provides a non-volatile computer storage medium, on which computer-executable instructions are stored. The computer-executable instructions are configured to execute: determining a to-be-delivered order, and extracting corresponding loading location, unloading location and cargo information from the to-be-delivered order, where the cargo information at least includes cargo type and cargo quantity; calculating freight information corresponding to the to-be-delivered order according to the loading location, the unloading location and the cargo information; obtaining the location information of the freight driver terminal, and performing clustering analysis on the to-be-delivered order through the location information, the loading location and the unloading location, so as to determine a preferred delivery order of the freight driver terminal according to the result of the clustering analysis, where the preferred delivery order is at least one of the to-be-delivered orders; generating a freight code corresponding to the preferred delivery order through the loading location, unloading location, cargo information and freight information corresponding to the preferred delivery order, and pushing the freight code to the freight driver terminal in a targeted manner; and in response to the preferred delivery order selected by the freight driver terminal according to the freight information, completing the order receiving process of the freight driver terminal.

[0016] The intelligent order receiving method, device and medium for a freight driver terminal provided by the present application have the following

[0017] Beneficial effects:

[0018] By introducing a clustering algorithm in the process of a freight driver receiving an order, the present application clusters the loading and unloading distances of to-be-delivered orders, determines the preferred delivery orders of the freight driver at the current location, and generates a freight code to be sent to the freight driver terminal. In this way, the freight driver can use the terminal to view the freight of each preferred delivery order, select the most beneficial order to undertake, and the loading location of the preferred delivery order is relatively close to the location information of the freight driver, so that the freight driver does not need to drive more distance to load the goods, improving the receiving efficiency of the to-be-delivered orders and / or the freight driver.

[0019] In addition, when the data volume of the to-be-delivered orders is large, the present application generates an order dense area according to the loading locations corresponding to all the to-be-delivered orders, and sends deployment information to the freight driver terminal to deploy the freight driver to the order dense area, thereby solving the problem of uneven distribution of delivery orders and freight drivers, enabling as many to-be-delivered orders and / or freight drivers as possible to find their matching partners, and also helping to improve the order receiving efficiency of the freight driver. Brief Description of the Drawings

[0020] To more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings:

[0021] Figure 1 It is a flowchart of an intelligent order receiving method for a freight driver terminal provided by the present application;

[0022] Figure 2 It is a schematic structural diagram of an intelligent order receiving device for a freight driver terminal provided by the present application. Detailed implementation manners

[0023] In order to enable those skilled in the art to better understand the technical solutions in the present application, the following will clearly and completely describe the technical solutions in the present application in conjunction with the drawings in the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts should fall within the protection scope of the present application.

[0024] The following will detail the method in the present application through the drawings.

[0025] Figure 1 It is a flowchart of an intelligent order receiving method for a freight driver terminal provided by the present application. As Figure 1 shown, the intelligent order receiving method in the present application at least includes the following execution steps:

[0026] Step 101: Determine the orders to be delivered, and extract the corresponding loading location, unloading location, and cargo information from the orders to be delivered.

[0027] The intelligent order receiving method in the present application is applied to the server side. First, it obtains the orders to be delivered from the shipper side or the freight company side. Here, there can be several orders to be delivered, and each order to be delivered includes the corresponding pick-up location, unloading location, cargo information, etc. The cargo information at least includes the cargo type and the cargo quantity. These information are extracted from the orders to be delivered so that the server side can execute the subsequent process. It should be noted that the information extraction process here can be implemented through existing solutions or algorithms, and the present application will not elaborate on this.

[0028] Step 102: Calculate the freight information corresponding to the orders to be delivered according to the loading location, unloading location, and cargo information.

[0029] Whether a freight driver accepts an order or not, and the effective allocation of orders to be delivered, are both closely related to the freight. Therefore, after obtaining the loading location, unloading location, and cargo information, these three pieces of information are used to calculate the freight information corresponding to the order to be delivered.

[0030] In a possible implementation manner of this application, the corresponding process of calculating the freight information is as follows:

[0031] First, mark the loading location and unloading location on a preset map, generate multiple alternative transportation routes based on the marks, calculate the transportation time corresponding to each alternative transportation route, and determine the road condition information corresponding to each alternative transportation route; then determine whether the expected delivery time in the order to be delivered is empty. If not, eliminate the alternative transportation routes whose transportation time is later than the expected delivery time. If so, the following steps are normally executed for all alternative transportation routes. For any one of the remaining alternative transportation routes or all alternative transportation routes, calculate the corresponding freight discount factor. Here, the freight discount factor is related to the transportation time and road condition information corresponding to the alternative transportation route. The worse the road condition information, the smaller the freight discount factor, the more freight is required, and the longer the transportation time, the more freight is required. Therefore, the freight discount factor is relatively large. Finally, based on the freight discount factor, determine the freight information corresponding to the order to be delivered.

[0032] Furthermore, first obtain the immediate freight of the order to be delivered. Here, the immediate freight also represents the freight data generated in real time during the delivery of the order to be delivered. For example, how much freight is generated in the first hour and how much freight is generated in the second hour. Then, use the aforementioned freight discount factor as the weight of the immediate freight, and perform a weighted sum of the immediate freight of the alternative transportation routes. The sum result is the freight information of the order to be delivered.

[0033] In an example, the above freight can also be calculated through the following formula:

[0034] V(s) = E[R t + γR t+1 + γ 2 R t+2 +...|S t = s]

[0035] Wherein, R t is the immediate freight within time t, that is, the income of the freight driver; γ is the discount factor. In this application, the transportation distance, order receiving time, road condition information, etc. of the freight are used as the freight discount factor or factors affecting the freight discount factor. This formula multiplies all possible freight transportation costs and freight, and then sums them to obtain the expected income of the freight driver for this order. The income in this application is the freight.

[0036] Step 103: Obtain the location information of the freight driver's terminal. Through the location information, the loading location, and the unloading location, perform cluster analysis on the orders to be delivered, so as to determine the preferred delivery orders of the freight driver's terminal according to the results of the cluster analysis.

[0037] The freight driver's terminal is equipped with a positioning function or a positioning module, which can obtain the real-time location information of the freight driver. Through the obtained location information and the loading location, determine the first transportation distance related to the freight driver's terminal, that is, the distance the freight driver needs to travel for loading, and use the previously extracted loading location and unloading location to determine the second transportation distance corresponding to the order to be delivered, that is, the distance the freight driver needs to travel for transporting the goods; then calculate the loading and unloading distance of the order to be delivered through the first transportation distance and the second transportation distance. In one example, the calculation process here can be achieved by performing weighted summation on the two, and when weighting, the weight of the first transportation distance should be set higher than the weight of the second transportation distance. This is because priority should be given to allocating orders near or around the freight driver to avoid traveling too much distance to load goods and reduce the order receiving efficiency.

[0038] Furthermore, use the K-Means clustering algorithm to perform cluster analysis on the aforementioned loading and unloading distances: put the orders to be delivered with similar loading and unloading locations, that is, small loading and unloading distances, into the same cluster. As the loading and unloading distances become farther, the distances between the clusters also increase; in the initial stage, randomly select some clusters in the dataset as the cluster centers, and for the remaining data clusters, assign them to the nearest cluster center according to the distance; after the assignment is completed, recalculate the average value of the loading and unloading distances of each cluster center; repeat the above operations until there is only one cluster left, which is the preferred delivery order for the order receiving location of the freight driver.

[0039] Step 104: Generate a freight code corresponding to the preferred delivery order through the loading location, unloading location, goods information, and freight information of the preferred delivery order, and push the freight code to the freight driver's terminal in a targeted manner.

[0040] Write the loading location, unloading location, goods information, and freight information corresponding to the determined preferred delivery order into the corresponding freight code, and then push the freight code to the freight driver's terminal in a targeted manner. Here, the targeted push refers to the freight driver corresponding to the freight driver's location information used in the process of calculating the preferred delivery order.

[0041] In a possible implementation manner of the present application, after the freight code is directed to the freight driver terminal, the method further includes: the freight driver terminal reads the information in the freight code and displays the read information in a segmented form, that is, the freight driver terminal will give a segmented prompt or display of the corresponding information in the freight code it receives, so that at least the freight information is included in the information read by the freight driver, which is convenient for the freight driver to receive orders with relatively high freight information.

[0042] Step 105, in response to the preferred delivery order selected by the freight driver terminal according to the freight information, complete the order receiving process of the freight driver terminal.

[0043] After the freight driver selects the preferred delivery order he undertakes through terminal operations, the order receiving process of the freight driver terminal is completed.

[0044] In a possible implementation manner of the present application, after receiving the order completion information fed back by the freight driver terminal, continue to receive the feedback data of the freight driver terminal and the cargo owner terminal for the completed delivery order; then optimize the determination process of the preferred delivery order and the calculation process of the freight information according to the feedback data, so as to further improve the order receiving efficiency of the freight driver terminal.

[0045] In a possible implementation manner of the present application, if the number of delivery orders determined by the server at the beginning exceeds the preset quantity threshold, it means that the order volume in a certain period or a certain area is too large. At this time, in order to balance the delivery orders and freight drivers, make the delivery orders to be delivered as many as possible, and at the same time enable the freight drivers to receive more delivery orders to improve their order receiving efficiency, an order-intensive area will be generated according to the loading locations of the delivery orders to be extracted. In one example, the order-intensive area should include at least half of the delivery orders. Then, send deployment information to the freight driver terminals around the order-intensive area to dispatch the surrounding drivers to achieve the balance of the delivery orders and freight drivers in the current period or the current area, and avoid the problem of uneven supply and demand.

[0046] In one example, the above-mentioned order-intensive area, the location information of the freight driver, etc. can also be displayed on the visualization screen, so that the operation and maintenance personnel can intuitively observe the current supply and demand problems.

[0047] Based on the same inventive concept, the present application also provides an intelligent order receiving device for a freight driver terminal, and its structure is as Figure 2 shown.

[0048] Figure 2 It is a schematic structural diagram of an intelligent order receiving device for a freight driver terminal provided by the present application. As Figure 2As shown in the figure, the intelligent order receiving device 200 of the freight driver terminal in this application specifically includes: at least one processor 201; and a memory 203 communicatively connected to the at least one processor 201 (connected through a bus 202); wherein, the memory 203 stores instructions that can be executed by the at least one processor 201, so that the at least one processor 201 can execute an intelligent order receiving method for a freight driver terminal as described in the above embodiment.

[0049] In a possible implementation manner of this application, the foregoing processor is used to execute: determine a to-be-delivered order, and extract the corresponding loading location, unloading location, and cargo information from the to-be-delivered order, where the cargo information at least includes cargo type and cargo quantity; calculate the freight information corresponding to the to-be-delivered order according to the loading location, the unloading location, and the cargo information; obtain the location information of the freight driver terminal, and perform clustering analysis on the to-be-delivered order through the location information, the loading location, and the unloading location, so as to determine the preferred delivery orders of the freight driver terminal according to the results of the clustering analysis, where the preferred delivery orders are at least one of the to-be-delivered orders; generate a freight code corresponding to the preferred delivery order through the loading location, unloading location, cargo information, and freight information corresponding to the preferred delivery order, and push the freight code to the freight driver terminal in a targeted manner; in response to the preferred delivery order selected by the freight driver terminal according to the freight information, complete the order receiving process of the freight driver terminal.

[0050] In addition, this application also provides a non-volatile computer storage medium, on which computer instructions are stored, and the computer instructions are set to execute: determine a to-be-delivered order, and extract the corresponding loading location, unloading location, and cargo information from the to-be-delivered order, where the cargo information at least includes cargo type and cargo quantity; calculate the freight information corresponding to the to-be-delivered order according to the loading location, the unloading location, and the cargo information; obtain the location information of the freight driver terminal, and perform clustering analysis on the to-be-delivered order through the location information, the loading location, and the unloading location, so as to determine the preferred delivery orders of the freight driver terminal according to the results of the clustering analysis, where the preferred delivery orders are at least one of the to-be-delivered orders; generate a freight code corresponding to the preferred delivery order through the loading location, unloading location, cargo information, and freight information corresponding to the preferred delivery order, and push the freight code to the freight driver terminal in a targeted manner; in response to the preferred delivery order selected by the freight driver terminal according to the freight information, complete the order receiving process of the freight driver terminal.

[0051] Each embodiment in this application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant parts, reference can be made to the corresponding parts in the method embodiments.

[0052] The devices provided in this application correspond one by one to the methods. Therefore, the devices also have beneficial technical effects similar to those of the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices will not be elaborated here.

[0053] Those skilled in the art should understand that the embodiments of this application can be provided as methods, devices, systems, or computer program products. Therefore, this application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0054] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or elements inherent to such process, method, commodity or device. Without further limitation, the element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, commodity or device including the element.

[0055] The above are only the embodiments of this application and are not used to limit this application. For those skilled in the art, various changes and modifications can be made to this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. An intelligent order receiving method for a freight driver terminal, characterized in that: The method comprises: Determine the order to be delivered, and extract the corresponding loading location, unloading location and cargo information from the order to be delivered, wherein the cargo information at least includes cargo type and cargo quantity; Calculate the freight information corresponding to the order to be delivered according to the loading location, the unloading location and the cargo information; Acquire location information of the freight driver terminal, and perform cluster analysis on the orders to be delivered based on the location information, the loading location, and the unloading location, so as to determine a preferred delivery order of the freight driver terminal according to the result of the cluster analysis, wherein the preferred delivery order is at least one of the orders to be delivered; Generate a freight code corresponding to the preferred delivery order based on the loading location, unloading location, cargo information and freight information corresponding to the preferred delivery order, and push the freight code to the freight driver terminal in a targeted manner; In response to the preferred delivery order selected by the freight driver terminal according to the freight information, the order acceptance process of the freight driver terminal is completed.

2. The intelligent order-taking method of a freight driver terminal according to claim 1, characterized in that: The calculating, according to the loading location, the unloading location and the cargo information, the freight information corresponding to the order to be delivered includes: Marking the loading location and the unloading location on a preset map, and generating a plurality of alternative transportation routes based on the markings; Calculate the transportation time corresponding to each alternative transportation route and determine the road condition information corresponding to each alternative transportation route; Determine whether the expected delivery time in the order to be delivered is empty, and if not, eliminate the alternative transportation routes whose transportation time is later than the expected delivery time; For any of the remaining alternative transport routes, a corresponding freight discount factor is calculated, where the freight discount factor is related to the transport time and road condition information corresponding to the alternative transport route; The freight information corresponding to the order to be delivered is determined according to the freight discount factor.

3. The intelligent order-taking method of a freight driver terminal according to claim 2, characterized in that: Determining the freight information corresponding to the order to be delivered according to the freight discount factor includes: Obtain the real-time shipping fee corresponding to the order to be delivered; The freight discount factor is determined as the weight of the instant freight, the instant freight corresponding to the alternative transportation route is weightedly summed, and the weighted sum result is determined as the freight information of the order to be delivered, the freight discount factor is positively correlated with the transportation time corresponding to the alternative transportation route, and negatively correlated with the road condition information corresponding to the alternative transportation route.

4. The intelligent order-taking method for a freight driver terminal according to claim 1, characterized in that: Performing cluster analysis on the orders to be delivered based on the location information, the loading location, and the unloading location, including: Determining a first transportation distance associated with the freight driver terminal through the location information and the loading location, and determining a second transportation distance associated with the order to be delivered through the loading location and the unloading location; Determine the loading and unloading distance corresponding to the order to be delivered by using the first transportation distance and the second transportation distance; Performing cluster analysis on the loading and unloading distances using a preset clustering algorithm, and recalculating the mean values ​​of the loading and unloading distances of the multiple cluster centers obtained by clustering; The above operation is repeated until the last cluster remains, and the preferred delivery order is obtained.

5. The intelligent order-taking method of a freight driver terminal according to claim 4, characterized in that: The preset clustering algorithm adopts the K-Means clustering algorithm, the loading and unloading distance is the weighted sum of the first transportation distance and the second transportation distance, and the weight corresponding to the first transportation distance is greater than the weight corresponding to the second transportation distance.

6. The intelligent order receiving method of a freight driver terminal according to claim 1, characterized in that: After the freight code is directed and pushed to the freight driver terminal, the method further includes: The freight driver terminal reads the information in the freight code and displays the read information in striped form, wherein the read information at least includes the freight information.

7. The intelligent order-taking method for a freight driver terminal according to claim 1, characterized in that: After determining the orders to be delivered, the method further includes: Determine whether the quantity of the orders to be delivered is greater than a preset quantity threshold; If yes, then an order-intensive area is generated according to the extracted loading locations of the orders to be delivered, and the order-intensive area includes at least 1 / 2 of the number of loading locations corresponding to the orders to be delivered; The dispatch information is sent to freight driver terminals within a preset range of the order-intensive area.

8. The intelligent order-taking method for a freight driver terminal according to claim 1, characterized in that: The method further comprises: Receive feedback data from the freight driver terminal and the cargo owner terminal regarding completed delivery orders; The process of determining the preferred delivery order and the process of calculating the freight information are optimized according to the feedback data.

9. An intelligent order receiving device for a freight driver terminal, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor to cause the at least one processor to execute: Determine the order to be delivered, and extract the corresponding loading location, unloading location and cargo information from the order to be delivered, wherein the cargo information at least includes cargo type and cargo quantity; Calculate the freight information corresponding to the order to be delivered according to the loading location, the unloading location and the cargo information; Acquire location information of the freight driver terminal, and perform cluster analysis on the orders to be delivered based on the location information, the loading location, and the unloading location, so as to determine a preferred delivery order of the freight driver terminal according to the result of the cluster analysis, wherein the preferred delivery order is at least one of the orders to be delivered; Generate a freight code corresponding to the preferred delivery order based on the loading location, unloading location, cargo information and freight information corresponding to the preferred delivery order, and push the freight code to the freight driver terminal in a targeted manner; In response to the preferred delivery order selected by the freight driver terminal according to the freight information, the order acceptance process of the freight driver terminal is completed.

10. A non-volatile computer storage medium having computer executable instructions stored thereon, characterized in that: The computer executable instructions are configured to perform: Determine the order to be delivered, and extract the corresponding loading location, unloading location and cargo information from the order to be delivered, wherein the cargo information at least includes cargo type and cargo quantity; Calculate the freight information corresponding to the order to be delivered according to the loading location, the unloading location and the cargo information; Acquire location information of the freight driver terminal, and perform cluster analysis on the orders to be delivered based on the location information, the loading location, and the unloading location, so as to determine a preferred delivery order of the freight driver terminal according to the result of the cluster analysis, wherein the preferred delivery order is at least one of the orders to be delivered; Generate a freight code corresponding to the preferred delivery order based on the loading location, unloading location, cargo information and freight information corresponding to the preferred delivery order, and push the freight code to the freight driver terminal in a targeted manner; In response to the preferred delivery order selected by the freight driver terminal according to the freight information, the order acceptance process of the freight driver terminal is completed.

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