Logistics route management system

Abstract

The invention relates to a logistics route management system, which comprises an information conversion device, the analysis module is used for intelligently analyzing the number of express items of various box body sizes of a set express route in a current time interval by adopting an artificial intelligence model based on multiple configuration contents of the set express route and multiple historical rapid data corresponding to multiple intersection express routes; and the content notification device is used for transmitting the number of express items of each box size of the set express route in the current time interval obtained through intelligent analysis to a far-end big data server through a time division communication link. According to the invention, valuable reference data can be provided for dynamic distribution among the express routes.

Description

Technical Field

[0001] The present invention relates to the field of logistics management, and in particular to a logistics route management system. Background Art

[0002] The first step in logistics and express delivery operations is the collection phase. Logistics and express delivery companies set up outlets or cooperate with partners to establish a system of express delivery outlets with wide coverage and many service points. Customers can send express parcels to express delivery outlets, and door-to-door pickup services can also be provided. In the collection phase, logistics and express delivery companies need to establish a customer relationship management system to record basic customer information and express parcel-related information to facilitate subsequent transportation and delivery. The next step in express delivery operations is the transportation phase. In the transportation phase, logistics and express delivery companies need to ensure the rapid and safe transportation of express parcels. In order to improve transportation efficiency, logistics and express delivery companies usually classify, sort, and pack goods for various management operations.

[0003] However, generally a logistics and express delivery company is responsible for the management of multiple express delivery routes, and the express delivery resources of the logistics and express delivery company, such as human resources and computing resources, are relatively limited. It is necessary to dynamically allocate corresponding human resources and computing resources according to the busyness of different express delivery routes. The existing technology cannot effectively predict the number of express parcels of various box sizes for each express route in the current time interval which is the future time interval, resulting in a lack of basis for judging the busyness of each express route in the future time interval. Summary of the invention

[0004] In order to solve the technical problems in the prior art, the present invention provides a logistics route management system, which can use an artificial intelligence model with a customized structure to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time interval based on multiple configuration contents of the set express route and multiple historical fast data corresponding to multiple intersecting express routes, thereby completing the intelligent prediction of the number of express parcels in the current time interval of the set express route based on the configuration information of the set express route itself and the fast cost information of multiple intersecting express routes of the set express route, and providing an effective solution mechanism for the identification of busy data in future time intervals of each express route.

[0005] According to the present invention, a logistics route management system is provided, the system comprising: A configuration input mechanism is used to obtain multiple configuration contents of a set express route, wherein the set express route is an express route from a first block to a second block, and the multiple configuration contents of the set express route are distance data from the first block to the second block, a population of the first block, and a population of the second block; A route parsing mechanism is used to obtain multiple intersecting express routes of a set express route, extract the number of express parcels of various box sizes of each intersecting express route in the time interval before the current time interval as the historical express data of the intersecting express route, and output multiple copies of historical express data corresponding to the multiple intersecting express routes respectively; An information conversion device, connected to the configuration input mechanism and the route analysis mechanism, respectively, for intelligently analyzing the number of express parcels of various box sizes of the set express route in the current time interval by using an artificial intelligence model based on multiple configuration contents of the set express route and multiple copies of historical fast data corresponding to the multiple intersecting express routes; A content notification device, connected to the information conversion device, for transmitting the number of express parcels of various box sizes of the set express route in the current time interval obtained by intelligent analysis to a remote big data server through a time-division communication link; Among them, the artificial intelligence model is used to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time interval based on multiple configuration contents of the set express route and multiple historical fast data corresponding to the multiple intersecting express routes, including: the artificial intelligence model is a BP neural network that has been trained multiple times, and the number of times the BP neural network is trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route; Among them, using an artificial intelligence model to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time period based on multiple configuration contents of the set express route and multiple copies of historical rapid data corresponding to the multiple intersecting express routes also includes: sending the multiple configuration contents of the set express route and the multiple copies of historical rapid data corresponding to the multiple intersecting express routes in parallel to the artificial intelligence model, and executing the artificial intelligence model to obtain the number of express parcels of various box sizes of the set express route in the current time period output by the artificial intelligence model.

[0006] It can be seen that the present invention has at least the following three main inventive concepts: Invention concept A: An artificial intelligence model is used to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time interval based on multiple configuration contents of the set express route and multiple historical fast data corresponding to multiple intersecting express routes, thereby completing the intelligent prediction of the number of express parcels of the set express route in the current time interval based on the configuration information of the set express route itself and the fast fee information of multiple intersecting express routes of the set express route, and providing an effective solution mechanism for the identification of busy data in future time intervals of each express route; Inventive concept B: The artificial intelligence model for intelligently predicting the number of express parcels in the current time interval of a set express route is a BP neural network that has been trained multiple times, and the number of times the BP neural network has been trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route, thereby customizing artificial intelligence models with different structures for different express routes; Inventive concept C: setting an express route as an express route from a first block to a second block, wherein the multiple configuration contents of setting the express route are distance data from the first block to the second block, the population of the first block and the population of the second block, and the number of express parcels of various box sizes of each intersecting express route in the previous time interval of the current time interval as the historical express data of the intersecting express route, thereby providing comprehensive and reliable multiple basic contents for intelligent prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0008] Figure 1 It is a structural block diagram of a logistics route management system according to the primary embodiment of the present invention.

[0009] Figure 2 It is a structural block diagram of a logistics route management system according to a secondary embodiment of the present invention.

[0010] Figure 3 1 is a structural block diagram of a logistics route management system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0011] The following is a detailed description of an embodiment of the logistics route management system of the present invention with reference to the accompanying drawings.

[0012] Figure 1 FIG. 1 is a structural block diagram of a logistics route management system according to a primary embodiment of the present invention, wherein the system comprises: A configuration input mechanism is used to obtain multiple configuration contents of a set express route, wherein the set express route is an express route from a first block to a second block, and the multiple configuration contents of the set express route are distance data from the first block to the second block, a population of the first block, and a population of the second block; For example, the configuration input mechanism is used to obtain multiple configuration contents of setting an express route, wherein the set express route is an express route from a first block to a second block, and the multiple configuration contents of setting the express route are distance data from the first block to the second block, the population of the first block, and the population of the second block, including: using multiple different content collection components to respectively collect the distance data from the first block to the second block, the population of the first block, and the population of the second block; A route parsing mechanism is used to obtain multiple intersecting express routes of a set express route, extract the number of express parcels of various box sizes of each intersecting express route in the time interval before the current time interval as the historical express data of the intersecting express route, and output multiple copies of historical express data corresponding to the multiple intersecting express routes respectively; An information conversion device, connected to the configuration input mechanism and the route analysis mechanism, respectively, for intelligently analyzing the number of express parcels of various box sizes of the set express route in the current time interval by using an artificial intelligence model based on multiple configuration contents of the set express route and multiple copies of historical fast data corresponding to the multiple intersecting express routes; A content notification device, connected to the information conversion device, for transmitting the number of express parcels of various box sizes of the set express route in the current time interval obtained by intelligent analysis to a remote big data server through a time-division communication link; Among them, the artificial intelligence model is used to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time interval based on multiple configuration contents of the set express route and multiple historical fast data corresponding to the multiple intersecting express routes, including: the artificial intelligence model is a BP neural network that has been trained multiple times, and the number of times the BP neural network is trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route; Among them, using an artificial intelligence model to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time interval based on multiple configuration contents of the set express route and multiple copies of historical rapid data corresponding to the multiple intersecting express routes also includes: sending the multiple configuration contents of the set express route and the multiple copies of historical rapid data corresponding to the multiple intersecting express routes in parallel to the artificial intelligence model, and executing the artificial intelligence model to obtain the number of express parcels of various box sizes of the set express route in the current time interval output by the artificial intelligence model; The artificial intelligence model is a BP neural network that has been trained multiple times, and the number of times the BP neural network is trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route, including: using a numerical conversion function to represent the numerical conversion relationship of the number of times the BP neural network is trained and the number of multiple intersecting express routes of the set express route being monotonically positively correlated; Among them, the artificial intelligence model is a BP neural network that has been trained multiple times and the number of times the BP neural network is trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route. It also includes: in the numerical conversion function, the number of multiple intersecting express routes of the set express route is the input parameter, and the number of times the BP neural network is trained is the output parameter.

[0013] Figure 2 It is a structural block diagram of a logistics route management system according to a secondary embodiment of the present invention.

[0014] Compared to Figure 1 , Figure 2 The logistics route management system in the system can also include: A DSP processing device, connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device respectively, for providing configuration operations of working parameters for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner; The DSP processing device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide the configuration operation of the working parameters for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, including: the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device share the same working parameter configuration interface; Wherein, the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device use different configuration address data; Wherein, a parallel connection of a communication data link is established between each of the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device through a parallel data bus; Among them, the parallel connection of the communication data link established between each of the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

[0015] Figure 3 1 is a structural block diagram of a logistics route management system according to another embodiment of the present invention.

[0016] Compared to Figure 1 , Figure 3 The logistics route management system in the system can also include: A power support device, connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device respectively, for providing power distribution support of different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner; The power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, including: two or more devices with the same working voltage requirements among the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device use the same power supply line; Wherein, the power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support of different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, and further includes: the power support device is an uninterruptible power supply device; Wherein, the power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in time-sharing, and further includes: providing different working voltages including 3.3V working voltage for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in time-sharing; And wherein, the power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner.

[0017] In addition, in the logistics route management system, an input mechanism is configured to obtain multiple configuration contents of the set express route, and the set express route is an express route from the first block to the second block. The multiple configuration contents of the set express route are the distance data from the first block to the second block, the population of the first block, and the population of the second block, including: the population of the first block is the total number of permanent residents in the first block, and the population of the second block is the total number of permanent residents in the second block.

[0018] The logistics route management system of the present invention is used to address the technical problem in the prior art that express delivery companies are unable to dynamically allocate relatively limited express resources among various express routes. By using an artificial intelligence model with a customized structure design, the number of express parcels of various box sizes for a set express route in the current time interval is intelligently analyzed, thereby completing intelligent prediction of the number of express parcels for the set express route in the current time interval, providing valuable reference data for express delivery companies to dynamically allocate relatively limited express resources among various express routes.

[0019] Although preferred embodiments of the present invention have been described in detail above, it will be appreciated that numerous variations and / or modifications to the basic inventive concepts taught herein will be apparent to those skilled in the art and fall within the spirit and scope of the invention as defined by the appended claims.

Claims

1. A logistics route management system, characterized in that: The system comprises: A configuration input mechanism is used to obtain multiple configuration contents of a set express route, wherein the set express route is an express route from a first block to a second block, and the multiple configuration contents of the set express route are distance data from the first block to the second block, a population of the first block, and a population of the second block; A route parsing mechanism is used to obtain multiple intersecting express routes of a set express route, extract the number of express parcels of various box sizes of each intersecting express route in the time interval before the current time interval as the historical express data of the intersecting express route, and output multiple copies of historical express data corresponding to the multiple intersecting express routes respectively; An information conversion device, connected to the configuration input mechanism and the route analysis mechanism, respectively, for intelligently analyzing the number of express parcels of various box sizes of the set express route in the current time interval by using an artificial intelligence model based on multiple configuration contents of the set express route and multiple copies of historical fast data corresponding to the multiple intersecting express routes; A content notification device, connected to the information conversion device, for transmitting the number of express parcels of various box sizes of the set express route in the current time interval obtained by intelligent analysis to a remote big data server through a time-division communication link; Among them, the artificial intelligence model is used to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time interval based on multiple configuration contents of the set express route and multiple historical fast data corresponding to the multiple intersecting express routes, including: the artificial intelligence model is a BP neural network that has been trained multiple times, and the number of times the BP neural network is trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route; Among them, using an artificial intelligence model to intelligently analyze the number of express parcels of various box sizes of the set express route in the current time period based on multiple configuration contents of the set express route and multiple copies of historical rapid data corresponding to the multiple intersecting express routes also includes: sending the multiple configuration contents of the set express route and the multiple copies of historical rapid data corresponding to the multiple intersecting express routes in parallel to the artificial intelligence model, and executing the artificial intelligence model to obtain the number of express parcels of various box sizes of the set express route in the current time period output by the artificial intelligence model.

2. The logistics route management system according to claim 1, characterized in that: The artificial intelligence model is a BP neural network that has been trained multiple times, and the number of times the BP neural network has been trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route, including: using a numerical conversion function to represent the numerical conversion relationship of the number of times the BP neural network has been trained and the number of multiple intersecting express routes of the set express route being monotonically positively correlated; Among them, the artificial intelligence model is a BP neural network that has been trained multiple times and the number of times the BP neural network is trained is monotonically positively correlated with the number of multiple intersecting express routes of the set express route. It also includes: in the numerical conversion function, the number of multiple intersecting express routes of the set express route is the input parameter, and the number of times the BP neural network is trained is the output parameter.

3. The logistics route management system according to claim 2, characterized in that: The system further comprises: A DSP processing device, connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device respectively, for providing configuration operations of working parameters for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner; Among them, the DSP processing device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide the configuration operation of working parameters for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, including: the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device share the same working parameter configuration interface.

4. The logistics route management system according to claim 3, characterized in that: The information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device use different configuration address data.

5. The logistics route management system according to claim 3, characterized in that: Establishing parallel connections of communication data links between the information conversion device, the configuration entry mechanism, the route parsing mechanism, and the content notification device through parallel data buses; Among them, the parallel connection of the communication data link established between each of the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

6. The logistics route management system according to claim 2, characterized in that: The system further comprises: A power support device, connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device respectively, for providing power distribution support of different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner; Among them, the power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, including: among the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, two or more devices with the same working voltage requirements use the same power supply line.

7. The logistics route management system according to claim 6, characterized in that: The power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, and also includes: the power support device is an uninterruptible power supply device.

8. The logistics route management system according to claim 7, characterized in that: The power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different operating voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, and also includes: providing different operating voltages including a 3.3V operating voltage for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner.

9. The logistics route management system according to claim 8, characterized in that: The power support device is respectively connected to the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device, and is used to provide power distribution support with different working voltages for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the information conversion device, the configuration entry mechanism, the route parsing mechanism and the content notification device in a time-sharing manner.

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