Transport capacity scheduling method, system and device based on digital logistics

Abstract

The invention discloses a transport capacity scheduling method, system and device based on digital logistics. The method comprises the following steps: acquiring a target distribution center; acquiring an associated distribution center in a set range of the target distribution center; detecting a to-be-processed freight order of which a transport route passes through the target collection and distribution center in an order pool of the associated collection and distribution center; obtaining the predicted departure time of the to-be-processed freight orders, and sorting the to-be-processed freight orders according to the predicted departure time; and updating the vehicle-cargo matching level of the to-be-processed freight order in an order pool associated with a collection and distribution center in advance of the predicted departure time of the to-be-processed freight order. According to the method, the to-be-processed freight order passing through the target collecting and distributing center is determined, the predicted departure time of the to-be-processed freight order is advanced, the vehicle-cargo matching level is adjusted, and the to-be-processed freight order is transported in advance by the vehicle, so that more transport capacity is transported to the target collecting and distributing center, and the condition that the transport capacity of the target collecting and distributing center is insufficient is balanced.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a method, system and device for transport capacity scheduling based on digital logistics. Background Art

[0002] Online freight refers to the road freight transportation business activities in which operators rely on the Internet platform to integrate and allocate transportation resources, sign transportation contracts with consignors as carriers, entrust actual carriers to complete road freight transportation, and assume the responsibilities of carriers. Through the vehicle-cargo matching platform and smart logistics model, it realizes the efficient allocation of freight resources, helps enterprises reduce operating costs and improve efficiency.

[0003] At present, in the process of logistics vehicle allocation, some distribution centers have less capacity, while some distribution centers have more capacity, showing an uneven capacity phenomenon. How to balance the capacity resources of various distribution centers, ensure that the distribution centers with insufficient capacity can get the capacity supplement in time, and ensure the efficient operation of logistics services is an urgent problem that needs to be solved. Summary of the invention

[0004] In order to solve the technical problems existing in the background technology, the present invention proposes a capacity scheduling method, system and device based on digital logistics, which solves the problem of timely replenishing the capacity of some distribution centers with less capacity and ensuring the efficient operation of logistics services.

[0005] The present invention proposes a transportation capacity scheduling method based on digital logistics, comprising:

[0006] Acquire target distribution centers that lack transportation capacity;

[0007] Obtaining associated distribution centers within a set range of the target distribution center;

[0008] Detecting the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center;

[0009] Obtaining the estimated departure time of the pending freight orders, and sorting the pending freight orders according to the estimated departure time;

[0010] The estimated departure time of the freight order to be processed is advanced, and the vehicle-cargo matching level of the freight order to be processed in the order pool of the associated distribution center is updated.

[0011] The target distribution center is the next transit point or terminal point of the transportation route of the freight order to be processed.

[0012] As a further improvement of the present invention: updating the vehicle-cargo matching level of the pending freight order in the order pool of the associated distribution center further includes:

[0013] Updating the estimated departure time of the pending freight order;

[0014] Re-determining the vehicle matching priority level of the freight orders to be processed according to the order of the estimated departure times;

[0015] The vehicle matching priority level of the pending freight order is positively correlated with the estimated departure time.

[0016] As a further improvement of the present invention: it also includes:

[0017] Obtain the general address of the target distribution center;

[0018] Screening the origin and destination addresses of all initial orders in the order pool of the associated distribution center;

[0019] Fuzzy transportation routes generated by the origin and destination major addresses;

[0020] Determine whether the major address of the target distribution center is located on the fuzzy transportation route;

[0021] If yes, mark the corresponding initial order as a pending freight order, and put the pending freight order into the vehicle-cargo matching order pool;

[0022] If not, the corresponding initial order will be retained in the order pool of the associated distribution center.

[0023] As a further improvement of the present invention: after obtaining the associated distribution centers within the set range of the target distribution center, the following step is further included:

[0024] Obtaining available vehicle information of the associated distribution center;

[0025] Obtaining the transportation capacity gap information of the target distribution center;

[0026] Matching the available vehicle information with the transportation capacity gap information to determine the target vehicle information;

[0027] A to-be-processed freight order is determined according to the target vehicle information, and a matching value between the target vehicle information and the to-be-processed freight order is greater than a set matching value.

[0028] As a further improvement of the present invention: after obtaining the available vehicle information of the associated distribution center, the following further comprises:

[0029] Sending a positioning query request to an available vehicle terminal;

[0030] Obtain the latest location of the available vehicle and determine whether the latest location is within the electronic fence of the associated distribution center;

[0031] If yes, submit the available vehicle information to the vehicle dispatch list;

[0032] If not, delete the corresponding available vehicle information.

[0033] The present invention also provides a transport capacity dispatching system based on digital logistics, comprising:

[0034] The first acquisition module is used to acquire the target distribution center with insufficient transportation capacity;

[0035] A second acquisition module is used to acquire associated distribution centers within a set range of the target distribution center;

[0036] A determination module, used for detecting the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center;

[0037] The third acquisition module is used to obtain the estimated departure time of the freight orders to be processed, and sort the freight orders to be processed according to the departure time;

[0038] The processing module is used to advance the estimated departure time of the freight order to be processed and update the vehicle-cargo matching level of the freight order to be processed in the order pool of the associated distribution center.

[0039] A capacity scheduling device based on digital logistics, comprising: a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, and is characterized in that: when the program instructions are loaded and executed by the processor, the above-mentioned capacity scheduling method based on digital logistics is implemented.

[0040] Beneficial effects:

[0041] After acquiring the target distribution center with insufficient transportation capacity, the present invention timely acquires the associated distribution centers within the set range of the target distribution center, detects the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center, acquires the estimated departure time of the pending freight orders, and sorts the pending freight orders according to the estimated departure time, advances the estimated departure time of the pending freight orders, and updates the vehicle-cargo matching level of the pending freight orders in the order pool of the associated distribution center. The pending freight orders of the associated distribution center are transported in advance by transportation vehicles, so that the transportation capacity of the target distribution center is timely supplemented from the associated distribution center. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flow chart of a transportation capacity scheduling method based on digital logistics proposed by the present invention;

[0043] Figure 2A flow chart of a method for transport capacity scheduling based on digital logistics proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] like Figure 1 As shown, Figure 1 This is a flow chart of a transportation capacity scheduling method based on digital logistics according to an embodiment of the present invention;

[0045] Reference Figure 1 , a method for transport capacity scheduling based on digital logistics proposed in an embodiment of the present invention includes:

[0046] S100: Acquire target distribution centers that lack transportation capacity;

[0047] The logistics system detects the transportation capacity of each distribution center in real time and monitors the distribution centers with insufficient transportation capacity.

[0048] S200: Acquire the associated distribution centers within the set range of the target distribution center;

[0049] In some embodiments, Figure 2 As shown, after obtaining the associated distribution centers within the set range of the target distribution center, the following further includes:

[0050] S201: Obtaining available vehicle information of the associated distribution center;

[0051] S202: Acquire the transportation capacity gap information of the target distribution center;

[0052] S203: Match the available vehicle information with the transportation capacity gap information to determine target vehicle information;

[0053] S204: Determine a to-be-processed freight order according to the target vehicle information, where a matching value between the target vehicle information and the to-be-processed freight order is greater than a set matching value.

[0054] Through steps S201 to S204, the vehicles transported from the associated distribution center to the target distribution center are more closely aligned with the capacity gap of the target distribution center, thereby improving the accuracy of the target distribution center's capacity supplement.

[0055] Furthermore, after obtaining the available vehicle information of the associated distribution center, the method further includes:

[0056] Sending a positioning query request to an available vehicle terminal;

[0057] Obtain the latest location of the available vehicle and determine whether the latest location is within the electronic fence of the associated distribution center;

[0058] If yes, submit the available vehicle information to the vehicle dispatch list;

[0059] If not, delete the corresponding available vehicle information.

[0060] S300: Detecting the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center;

[0061] Specifically, the target distribution center is the next transit point or terminal point of the transportation route of the freight order to be processed.

[0062] S400: Obtaining the estimated departure time of the freight orders to be processed, and sorting the freight orders to be processed according to the estimated departure time;

[0063] In some implementations, further comprising:

[0064] Obtain the general address of the target distribution center;

[0065] Screening the origin and destination addresses of all initial orders in the order pool of the associated distribution center;

[0066] Fuzzy transportation routes generated by the origin and destination major addresses;

[0067] Determine whether the major address of the target distribution center is located on the fuzzy transportation route;

[0068] If yes, mark the corresponding initial order as a pending freight order, and put the pending freight order into the vehicle-cargo matching order pool;

[0069] If not, the corresponding initial order will be retained in the order pool of the associated distribution center.

[0070] S500: Advance the estimated departure time of the freight order to be processed, and update the vehicle-cargo matching level of the freight order to be processed in the order pool of the associated distribution center.

[0071] The estimated departure time of the pending freight orders is brought forward, and the vehicle-cargo matching level of the pending freight orders is improved, so as to quickly complete the matching of the pending freight orders and the vehicles. The pending freight orders are transported by the vehicles and delivered to the target distribution center, so as to realize the timely replenishment of transportation capacity.

[0072] In some implementations, updating the vehicle-cargo matching level of the pending freight order in the order pool of the associated distribution center further includes:

[0073] Updating the estimated departure time of the pending freight order;

[0074] Re-determining the vehicle matching priority level of the freight orders to be processed according to the order of the estimated departure times;

[0075] The vehicle matching priority level of the pending freight order is positively correlated with the estimated departure time.

[0076] The present invention also provides a transport capacity dispatching system based on digital logistics, comprising:

[0077] The first acquisition module is used to acquire the target distribution center with insufficient transportation capacity;

[0078] A second acquisition module is used to acquire associated distribution centers within a set range of the target distribution center;

[0079] A determination module, used for detecting the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center;

[0080] The third acquisition module is used to obtain the estimated departure time of the freight orders to be processed, and sort the freight orders to be processed according to the departure time;

[0081] The processing module is used to advance the estimated departure time of the freight order to be processed and update the vehicle-cargo matching level of the freight order to be processed in the order pool of the associated distribution center.

[0082] In some implementations, further comprising:

[0083] The second acquisition module is also used to obtain the general address of the target distribution center;

[0084] A detection module, used for screening the origin and destination addresses of all initial orders in the order pool of the associated distribution center;

[0085] Fuzzy route determination module, which generates fuzzy transportation routes based on the major addresses of the origin and destination;

[0086] A judgment module, used to judge whether the major address of the target distribution center is located on the fuzzy transportation route;

[0087] The processing module is also used to mark the corresponding initial order as a pending freight order if the main category address of the target distribution center is located on the fuzzy transportation route, and put the pending freight order into the vehicle-cargo matching order pool; if the main category address of the target distribution center is not located on the fuzzy transportation route, the corresponding initial order will be retained in the order pool of the associated distribution center.

[0088] A capacity scheduling device based on digital logistics, comprising: a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, and is characterized in that: when the program instructions are loaded and executed by the processor, the above-mentioned capacity scheduling method based on digital logistics is implemented.

[0089] It should be noted that the program in the above embodiment can be any combination of one or more programming languages ​​to write program codes for executing the operation of the embodiment of the present application, and the programming language includes object-oriented programming languages, such as Java, C++, etc., and also includes conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed completely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on the remote computing device, or completely on the remote computing device or server.

[0090] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0091] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A transportation capacity scheduling method based on digital logistics, characterized in that: include: Acquire target distribution centers that lack transportation capacity; Obtaining associated distribution centers within a set range of the target distribution center; Detecting the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center; Obtaining the estimated departure time of the pending freight orders, and sorting the pending freight orders according to the estimated departure time; The estimated departure time of the freight order to be processed is advanced, and the vehicle-cargo matching level of the freight order to be processed in the order pool of the associated distribution center is updated.

2. According to the method of transport capacity scheduling based on digital logistics according to claim 1, it is characterized in that: The target distribution center is the next transit point or terminal point of the transportation route of the freight order to be processed.

3. According to a method for transport capacity scheduling based on digital logistics according to claim 1, it is characterized in that: The vehicle-cargo matching level of the pending freight orders in the order pool of the associated distribution center is updated, and also includes: Updating the estimated departure time of the pending freight order; Re-determining the vehicle matching priority level of the freight orders to be processed according to the order of the estimated departure times; The vehicle matching priority level of the pending freight order is positively correlated with the estimated departure time.

4. A method for transport capacity scheduling based on digital logistics according to claim 1, characterized in that: Also includes: Obtain the general address of the target distribution center; Screening the origin and destination addresses of all initial orders in the order pool of the associated distribution center; Fuzzy transportation routes generated by the origin and destination major addresses; Determine whether the major address of the target distribution center is located on the fuzzy transportation route; If yes, mark the corresponding initial order as a pending freight order, and put the pending freight order into the vehicle-cargo matching order pool; If not, the corresponding initial order will be retained in the order pool of the associated distribution center.

5. The method for transport capacity dispatching based on digital logistics according to claim 1 is characterized in that: After obtaining the associated distribution centers within the set range of the target distribution center, the method further includes: Obtaining available vehicle information of the associated distribution center; Obtaining the transportation capacity gap information of the target distribution center; Matching the available vehicle information with the transportation capacity gap information to determine the target vehicle information; A to-be-processed freight order is determined according to the target vehicle information, and a matching value between the target vehicle information and the to-be-processed freight order is greater than a set matching value.

6. A method for transport capacity dispatching based on digital logistics according to claim 5, characterized in that: After obtaining the available vehicle information of the associated distribution center, the method further includes: Sending a positioning query request to an available vehicle terminal; Obtain the latest location of the available vehicle and determine whether the latest location is within the electronic fence of the associated distribution center; If so, submit the available vehicle information to the vehicle dispatch list; if not, delete the corresponding available vehicle information.

7. A transportation capacity dispatching system based on digital logistics, characterized in that: include: The first acquisition module is used to acquire the target distribution center with insufficient transportation capacity; A second acquisition module is used to acquire associated distribution centers within a set range of the target distribution center; A determination module, used for detecting the pending freight orders in the order pool of the associated distribution center whose transportation routes pass through the target distribution center; The third acquisition module is used to obtain the estimated departure time of the freight orders to be processed, and sort the freight orders to be processed according to the departure time; The processing module is used to advance the estimated departure time of the freight order to be processed and update the vehicle-cargo matching level of the freight order to be processed in the order pool of the associated distribution center.

8. A transport capacity dispatching device based on digital logistics, characterized in that: include: A memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, characterized in that: when the program instructions are loaded and executed by the processor, a transportation capacity scheduling method based on digital logistics as described in any one of claims 1 to 6 is implemented.

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