Transportation management method, system and device based on intelligent logistics

Abstract

The invention discloses a transportation management method, system and device based on intelligent logistics, and the method comprises the steps: obtaining a target freight order, and determining a starting place and a destination; determining a plurality of transportation routes according to the starting place and the destination, and obtaining fault information and meteorological data of each transportation route; determining the traffic characterization degree of each transportation route according to the fault information and the meteorological data, and sorting the transportation routes from high to low according to the traffic characterization degrees; determining the operation number route with the maximum passing characterization degree, and determining the transportation duration; and obtaining the receiving time of the target freight order, and determining the delivery time according to the receiving time and the transportation duration. The delivery time of the target freight order is reasonably arranged to ensure that the goods are delivered to the consignee in time.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a transportation management method, system and device based on smart logistics. Background Art

[0002] Logistics originally means "physical distribution" or "goods distribution". It is a part of the supply chain activities. It is the process of planning, implementing and controlling the efficient and low-cost flow and storage of goods, service consumption and related information from the place of production to the place of consumption in order to meet customer needs. Logistics is centered on warehousing to promote the synchronization of production and market

[0003] Some goods need to be delivered to the consignee at a specified time. Currently, the freight order scheduling process focuses more on the allocation of transport vehicles. The matching transport vehicles are determined based on the nature of the goods and the transportation requirements, and less attention is paid to how to reasonably arrange the delivery time. Summary of the invention

[0004] In order to solve the technical problems existing in the background technology, the present invention proposes a transportation management method, system and device based on smart logistics, which solves the problem that the current waybill scheduling process pays less attention to the reasonable arrangement of delivery time and ensures that the goods are delivered to the consignee on time.

[0005] The present invention proposes a transportation management method based on smart logistics, comprising:

[0006] Obtain the target freight order and determine the origin and destination;

[0007] Determine a plurality of transport routes according to the starting place and the destination, and obtain fault information and meteorological data of each transport route;

[0008] Determine the traffic characterization degree of each transport route according to the fault information and the meteorological data, and sort each transport route from high to low according to the traffic characterization degree;

[0009] Determine the transport route with the highest degree of traffic characterization and determine the transport time;

[0010] The delivery time of the target freight order is obtained, and the delivery time is determined according to the delivery time and the transportation duration.

[0011] As a further step of the present invention, the fault information includes road maintenance data, and the maintenance section and maintenance end time of each transportation route are obtained through the Internet of Things. The traffic index of each transportation route is determined based on the maintenance section and maintenance end time, and the traffic index is negatively correlated with the number of maintenance sections and the maintenance end time.

[0012] As a further feature of the present invention, the fault information also includes traffic congestion data; according to the delivery time, the original estimated delivery time of the target freight order is determined;

[0013] Obtain the traffic congestion records associated with each transportation route and obtain the estimated traffic congestion time, which includes statutory holidays;

[0014] According to the traffic congestion record and the estimated traffic congestion time, the traffic congestion index of each transportation route during the period from the original estimated delivery time to the delivery time is determined.

[0015] As a further aspect of the present invention, it also includes:

[0016] Obtaining meteorological data of the areas through which each transportation route passes, the meteorological data including weather, wind direction and speed, precipitation, cloud cover and temperature;

[0017] Obtain the delivery time of the target freight order, and determine the climate background information and recent meteorological records of each transportation route;

[0018] A meteorological index for each transportation route is determined based on meteorological data, climate background information and recent meteorological records, wherein the meteorological index represents the degree of traffic obstruction of the transportation route.

[0019] As a further feature of the present invention, the traffic characterization degree is positively correlated with the traffic index, and the traffic characterization degree is negatively correlated with the meteorological index.

[0020] The present invention also proposes a transportation management system based on smart logistics, comprising:

[0021] The first acquisition module is used to acquire the target freight order and determine the origin and destination;

[0022] A second acquisition module is used to determine a number of transportation routes according to the starting place and the destination, and obtain fault information and meteorological data of each transportation route;

[0023] A processing module, used to determine the traffic characterization degree of each transport route according to the fault information and meteorological data, and sort each transport route from high to low according to the traffic characterization degree; and also used to determine the transport route with the largest traffic characterization degree and determine the transport time;

[0024] The determination module is used to obtain the receipt time of the target freight order and determine the delivery time according to the receipt time and the transportation time.

[0025] The present invention also proposes a transportation management device based on smart 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 when the program instructions are loaded and executed by the processor, the above-mentioned transportation management method based on smart logistics is implemented.

[0026] Beneficial effects:

[0027] The present invention determines the starting place and the destination after obtaining the target freight order, determines a number of transportation routes according to the starting place and the destination, obtains the fault information and meteorological data of each transportation route, and then determines the accessibility representation degree of each transportation route according to the fault information and the meteorological data, sorts each transportation route from high to low according to the accessibility representation degree, determines the transportation route with the largest accessibility representation degree and determines the transportation duration, obtains the receipt time of the target freight order, determines the delivery time according to the receipt time and the transportation duration, and reasonably arranges the delivery time of the target freight order to ensure that the goods are delivered to the consignee in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a flow chart of a transportation management method based on intelligent logistics proposed by the present invention; DETAILED DESCRIPTION

[0029] like Figure 1 As shown, Figure 1 This is a flow chart of a transportation management method based on smart logistics according to an embodiment of the present invention;

[0030] Reference Figure 1 , a transportation management method based on smart logistics proposed in an embodiment of the present invention includes:

[0031] S10: Obtain the target freight order and determine the origin and destination;

[0032] S20: determining a plurality of transport routes according to the starting place and the destination, and obtaining fault information and meteorological data of each transport route;

[0033] In some embodiments, the fault information includes road maintenance data, which is represented by a traffic index. The maintenance section and maintenance end time of each transportation route are obtained through the Internet of Things, and the traffic index of each transportation route is determined based on the maintenance section and maintenance end time. The traffic index is negatively correlated with the number of maintenance sections and the maintenance end time.

[0034] The Internet of Things is used to predict the maintenance information of each transportation route in advance and detect whether the sections of each transportation route are unobstructed. Some sections of the transportation route may have maintenance plans or arrangements during the transportation of freight orders, and vehicles cannot pass. If there is no advance prediction and the transportation is still carried out according to the original route of the system, there may be delays in the waybill. In this regard, fault information is introduced to determine the traffic index of the transportation route, and then the delivery time of the freight order is reasonably adjusted.

[0035] In some embodiments, the fault information further includes traffic congestion data, and the traffic congestion data is represented by a traffic congestion index;

[0036] Determine the original estimated delivery time of the target freight order according to the delivery receipt time;

[0037] Obtain the traffic congestion records associated with each transportation route and obtain the estimated traffic congestion time, which includes statutory holidays;

[0038] According to the traffic congestion record and the estimated traffic congestion time, the traffic congestion index of each transportation route during the period from the original estimated delivery time to the delivery time is determined.

[0039] This embodiment predicts the traffic congestion index of each transportation route and reasonably adjusts the delivery time. It mainly obtains the traffic congestion record of each transportation route, including the traffic congestion record of each transportation route in previous years within a set period before and after the original estimated delivery time, and the recent traffic congestion record of each transportation route in a set period before and after the original estimated delivery time through the Internet of Things. The estimated traffic congestion time is used to characterize the estimated time to pass through the congested section, which can be determined by obtaining the average passing time of the corresponding congested section through the Internet of Things. The estimated traffic congestion time is determined based on the traffic congestion records of previous years, the recent traffic congestion records, and the estimated traffic congestion time.

[0040] S30: determining the traffic characterization degree of each transport route according to the fault information and the meteorological data, and sorting each transport route from high to low according to the traffic characterization degree;

[0041] In some embodiments, the method further includes: obtaining meteorological data of the area through which each transportation route passes, wherein the meteorological data includes weather, wind direction and speed, precipitation, cloud cover, and temperature;

[0042] Obtain the delivery time of the target freight order, and determine the climate background information and recent meteorological records of each transportation route;

[0043] A meteorological index for each transportation route is determined based on meteorological data, climate background information and recent meteorological records, wherein the meteorological index represents the degree of traffic obstruction of the transportation route.

[0044] S40: determining the transport route with the highest degree of traffic characterization and determining the transport time;

[0045] The transportation time for different transportation routes varies, and the adjustment of delivery time is also different accordingly.

[0046] S50: Acquire the delivery time of the target freight order, and determine the delivery time according to the delivery time and the transportation duration.

[0047] The traffic characterization degree is positively correlated with the traffic index, and the traffic characterization degree is negatively correlated with the meteorological index.

[0048] Based on the same inventive concept, the embodiment of the present invention also proposes a transportation management system based on smart logistics, including:

[0049] The first acquisition module is used to acquire the target freight order and determine the origin and destination;

[0050] A second acquisition module is used to determine a number of transportation routes according to the starting place and the destination, and obtain fault information and meteorological data of each transportation route;

[0051] A processing module, used to determine the traffic characterization degree of each transport route according to the fault information and meteorological data, and sort each transport route from high to low according to the traffic characterization degree; and also used to determine the transport route with the largest traffic characterization degree and determine the transport time;

[0052] The determination module is used to obtain the receipt time of the target freight order and determine the delivery time according to the receipt time and the transportation time.

[0053] The processing module is also used to obtain the maintenance section and maintenance end time of each transportation route through the Internet of Things, and determine the traffic index of each transportation route according to the maintenance section and maintenance end time. The traffic index is negatively correlated with the number of maintenance sections and the maintenance end time.

[0054] The processing module is also used to determine the original estimated delivery time of the target freight order based on the delivery receipt time; obtain the traffic congestion record associated with each transportation route, and obtain the estimated traffic congestion time, the estimated traffic congestion time includes statutory holidays; and determine the traffic congestion index of each transportation route from the original estimated delivery time to the delivery receipt time based on the traffic congestion record and the estimated traffic congestion time.

[0055] The processing module is also used to obtain meteorological data of the areas through which each transportation route passes, the meteorological data including weather, wind direction and speed, precipitation, cloud cover and temperature; obtain the delivery time of the target freight order, determine the climate background information and recent meteorological records of each transportation route; determine the meteorological index of each transportation route based on the meteorological data, climate background information and recent meteorological records, the meteorological index characterizing the degree of obstruction of the transportation route.

[0056] Based on the same inventive concept, an embodiment of the present invention also proposes a transportation management device based on smart logistics, including: a memory and a processor, the memory is used to store information including program instructions, the processor is used to control the execution of program instructions, and the program instructions are loaded and executed by the processor to implement the above-mentioned transportation management method based on smart logistics.

[0057] 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.

[0058] 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.

[0059] 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 management method based on smart logistics, characterized in that: include: Obtain the target freight order and determine the origin and destination; Determine a plurality of transport routes according to the starting place and the destination, and obtain fault information and meteorological data of each transport route; Determine the traffic characterization degree of each transport route according to the fault information and the meteorological data, and sort each transport route from high to low according to the traffic characterization degree; Determine the transport route with the highest degree of traffic characterization and determine the transport time; The delivery time of the target freight order is obtained, and the delivery time is determined according to the delivery time and the transportation duration.

2. According to the transportation management method based on intelligent logistics according to claim 1, it is characterized in that: The fault information includes road maintenance data. The maintenance section and maintenance end time of each transportation route are obtained through the Internet of Things. The traffic index of each transportation route is determined based on the maintenance section and maintenance end time. The traffic index is negatively correlated with the number of maintenance sections and the maintenance end time.

3. According to the transportation management method based on intelligent logistics according to claim 1, it is characterized in that: The fault information also includes traffic congestion data; Determine the original estimated delivery time of the target freight order according to the delivery receipt time; Obtain the traffic congestion records associated with each transportation route and obtain the estimated traffic congestion time, which includes statutory holidays; According to the traffic congestion record and the estimated traffic congestion time, the traffic congestion index of each transportation route during the period from the original estimated delivery time to the delivery time is determined.

4. The transportation management method based on intelligent logistics according to claim 2 is characterized in that: Also includes: Obtaining meteorological data of the areas through which each transportation route passes, the meteorological data including weather, wind direction and speed, precipitation, cloud cover and temperature; Obtain the delivery time of the target freight order, and determine the climate background information and recent meteorological records of each transportation route; A meteorological index for each transportation route is determined based on meteorological data, climate background information and recent meteorological records, wherein the meteorological index represents the degree of traffic obstruction of the transportation route.

5. The transportation management method based on intelligent logistics according to claim 4 is characterized in that: The traffic characterization degree is positively correlated with the traffic index, and the traffic characterization degree is negatively correlated with the meteorological index.

6. A transportation management system based on smart logistics, characterized in that: include: The first acquisition module is used to acquire the target freight order and determine the origin and destination; A second acquisition module is used to determine a number of transportation routes according to the starting place and the destination, and obtain fault information and meteorological data of each transportation route; A processing module, used to determine the traffic characterization degree of each transportation route according to the fault information and the meteorological data, and sort each transportation route from high to low according to the traffic characterization degree; It is also used to determine the transport route with the highest degree of traffic characterization and determine the transport time; The determination module is used to obtain the receipt time of the target freight order and determine the delivery time according to the receipt time and the transportation time.

7. A transportation management device based on smart 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 management method based on smart logistics as described in any one of claims 1 to 5 is implemented.

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