CN112488624A - Logistics routing information calculation method, device, equipment and storage medium - Google Patents
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Abstract
The invention provides a method, a device, equipment and a storage medium for calculating logistics routing information based on a geo-fence, wherein the method comprises the following steps: acquiring an addressee of a to-be-processed freight note; calculating longitude and latitude information of the receiving address; determining a geographic fence where the receiving address is located according to the latitude and longitude information of the receiving address; acquiring a dispatch node corresponding to the geo-fence; and calculating the logistics routing information of the freight note to be processed at least according to the dispatch node. The invention is convenient for the third-party platform to realize the calculation of the routing information.
Description
Technical Field
The invention relates to the field of computer application, in particular to a method, a device, equipment and a storage medium for calculating logistics routing information based on a geo-fence.
Background
Currently, among logistics companies cooperating with e-commerce platforms, there are tail logistics companies with a small daily unit number. For the logistics companies, the e-commerce platform and even other third party platforms cannot train and form large-scale model data according to logistics information of daily orders, and therefore, the routing information of a delivery network point such as a delivery network point cannot be predicted or calculated according to an address text model. In this case, the e-commerce platform and even other third party platforms are difficult to predict and provide the routing information, and meanwhile, wrong routing information may be provided, so that the user cannot acquire accurate routing information, and the user logistics experience is affected.
Therefore, how to calculate accurate logistics routing information under the condition of a small amount of single information for a third-party platform such as an e-commerce platform is a technical problem to be solved urgently in the field.
Disclosure of Invention
In order to overcome the defects of the related technologies, the invention provides a method and a device for calculating logistics routing information based on a geo-fence, an electronic device and a storage medium, so that accurate logistics routing information can be calculated under the condition of less single quantity.
According to an aspect of the present invention, there is provided a geo-fence based logistics routing information calculation method, including:
acquiring an addressee of a to-be-processed freight note;
calculating longitude and latitude information of the receiving address;
determining a geographic fence where the receiving address is located according to the latitude and longitude information of the receiving address;
acquiring a dispatch node corresponding to the geo-fence; and
and calculating logistics routing information of the freight note to be processed at least according to the dispatch node.
In some embodiments of the present invention, the calculating the logistics routing information of the to-be-processed waybills according to at least the dispatch node comprises:
and calculating the segment code for identifying the dispatch node in the multi-segment codes of the logistics routing information according to the dispatch node.
In some embodiments of the invention, further comprising:
obtaining the delivery address and the receiving address of the waybill to be processed, calculating the destination center of the waybill to be processed,
correspondingly, the calculating the logistics routing information of the freight note to be processed at least according to the dispatch node comprises the following steps:
and calculating the segment code which identifies the destination center in the multi-segment codes of the logistics routing information according to the destination center.
In some embodiments of the invention, the geofences are synchronized from a logistics server.
In some embodiments of the present invention, before obtaining the recipient address of the to-be-processed waybill, the method further includes:
acquiring a logistics provider where the waybill to be processed is located;
judging whether the logistics provider is associated with a trained address text model or not;
and if so, inputting the data of the waybill to be processed into the address text model so as to predict the dispatch node of the waybill to be processed.
In some embodiments of the invention, further comprising:
acquiring the historical freight note quantity of the logistics provider where the freight notes to be processed are located;
judging whether the historical waybill amount of the logistics provider is larger than a preset threshold value or not;
if so, training the address text model according to the historical waybill data of the logistics provider so as to predict the dispatch node of the waybill to be processed.
In some embodiments of the present invention, the logistics routing information of the waybill is at least used for the prediction of the arrival time of the waybill to be processed and the tracking of the transportation process of the waybill to be processed.
According to still another aspect of the present invention, there is also provided a geo-fence based logistics routing information calculation apparatus, comprising:
the first acquisition module is configured to acquire an addressee of the to-be-processed freight note;
the first calculation module is configured to calculate longitude and latitude information of the addressee;
the determining module is configured to determine the geographic fence where the receiving address is located according to the latitude and longitude information of the receiving address;
a second obtaining module configured to obtain a dispatch node corresponding to the geo-fence; and
and the second calculation module is configured to calculate the logistics routing information of the freight note to be processed at least according to the dispatch node.
According to still another aspect of the present invention, there is also provided an electronic apparatus, including: a processor; a storage medium having stored thereon a computer program which, when executed by the processor, performs the steps as described above.
According to yet another aspect of the present invention, there is also provided a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps as described above.
Compared with the prior art, the invention has the advantages that:
the method comprises the steps that the geographic fence where the receiving address is located is determined through longitude and latitude information of the receiving address, so that a corresponding delivery node is obtained through prediction, and therefore logistics routing information of the freight note to be processed is calculated at least according to the delivery node, model training is not needed to be carried out on a large amount of historical single data, and logistics routing information of the location can be accurately calculated based on the geographic fence under the condition that the single amount is small.
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The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 shows a flowchart of a geo-fence based logistics routing information calculation method according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a segment code identifying a destination center among a plurality of segment codes for calculating the logistics routing information according to the destination center according to an embodiment of the present invention.
Fig. 3 is a flow chart illustrating prediction of a dispatch node directly from an address text model when the address text model is associated with a logistics provider according to an embodiment of the present invention.
FIG. 4 is a flow diagram for training an address text model based on historical singletons when the historical singletons of a logistics provider exceed a predetermined threshold, according to an embodiment of the invention.
Fig. 5 is a block diagram illustrating a geo-fence based logistics routing information calculation apparatus in accordance with an embodiment of the present invention.
Fig. 6 schematically illustrates a computer-readable storage medium in an exemplary embodiment of the invention.
Fig. 7 schematically illustrates an electronic device in an exemplary embodiment of the invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the steps. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
In various embodiments of the present invention, the geo-fence based logistics routing information calculation method provided by the present invention can be applied to a logistics platform, an e-commerce platform, or other third party platforms that can call logistics trajectory data of the logistics platform. Further, in various embodiments of the invention, the invention is particularly applicable to return item identification for e-commerce platforms. The foregoing merely provides various application scenarios of the present invention, and the application scenarios of the present invention are not limited thereto, and are not repeated herein.
Fig. 1 shows a flowchart of a geo-fence based logistics routing information calculation method according to an embodiment of the present invention. The logistics routing information calculation method based on the geo-fences comprises the following steps:
step S110: and acquiring the recipient address of the freight note to be processed.
Step S120: and calculating the latitude and longitude information of the receiving address.
Specifically, the calculation of the latitude and longitude information of the recipient address in step S120 may be provided by the map service. In other words, the latitude and longitude calculation algorithm in the map service may be called through the map service interface or the latitude and longitude information returned by the map service may be acquired after the recipient address is sent to the map service, which is not limited in the present invention.
Step S130: and determining the geographic fence where the receiving address is located according to the latitude and longitude information of the receiving address.
Specifically, the geofences are synchronized from a logistics server. In particular, the logistics server provides geofence range data for each dispatch node. The range data may be, for example, latitude and longitude range data, or may be provided in other forms of data, and the present invention is not limited thereto. Thus, step S130 may determine the geo-fence where the recipient address is located according to the geo-fence synchronously obtained from the logistics server and the latitude and longitude information of the recipient address.
Step S140: and acquiring a dispatch node corresponding to the geo-fence.
Specifically, the logistics server provides the corresponding relationship between the geo-fence and the dispatch node, so that the corresponding dispatch node is obtained according to the determined geo-fence in step S140.
Step S150: and calculating logistics routing information of the freight note to be processed at least according to the dispatch node.
Specifically, the logistics routing information may include, but is not limited to, various types of multi-segment codes, logistics tracks, transit centers, and the like, and the present invention is not limited thereto. Specifically, step S150 may include a step of calculating, according to the dispatch node, a segment code identifying the dispatch node from the multiple segments of codes of the logistics routing information.
Specifically, the logistics routing information of the waybills to be processed is at least used for predicting the arrival time of the waybills to be processed and tracking the transportation process of the waybills to be processed. Therefore, the third-party platform can monitor the logistics conveniently, and provide information such as logistics tracks and logistics timeliness for the user conveniently.
According to the logistics routing information calculation method based on the geo-fences, the geo-fence where the receiving address is located is determined through the longitude and latitude information of the receiving address, and the corresponding dispatch node is obtained in a prediction mode.
Referring now to fig. 2, fig. 2 is a flow chart illustrating a segment code identifying a destination center among a plurality of segment codes for calculating the logistics routing information according to the destination center according to an embodiment of the present invention. Fig. 2 shows the following steps in total:
step S151: and acquiring the delivery address and the receiving address of the waybill to be processed, and calculating a destination center of the waybill to be processed.
Step S152: and calculating the segment code which identifies the destination center in the multi-segment codes of the logistics routing information according to the destination center.
Specifically, step S152 may be included in the step S150 shown in fig. 1, which is to calculate the logistics routing information of the pending waybill at least according to the dispatch node. Step S151 may be performed at any time before step S150. In particular, the destination hub may be, for example, a destination transit hub before a dispatch site. The destination center can be obtained by calculation based on the delivery address, the receiving address and data provided by the logistics server. Further, the destination center can also be obtained by calculation of other calculation models, and the present invention can implement more variations, which are not described herein.
Referring now to fig. 3, fig. 3 is a flow diagram illustrating a process for predicting a dispatch node directly from an address text model when the address text model is associated with a logistics provider, according to an embodiment of the present invention.
Fig. 3 shows the steps before the recipient address of the to-be-processed waybill is acquired in step S110 of fig. 1:
step S101: and acquiring the logistics supplier where the waybill to be processed is located.
Step S102: judging whether the logistics provider is associated with a trained address text model or not;
if the determination in step S102 is yes, step S103 is executed: and inputting the data of the waybill to be processed into the address text model so as to predict the dispatch node of the waybill to be processed.
Therefore, when the logistics provider is associated with the trained address text model, the address text model can be directly adopted for predicting the delivery node, and further the calculation of the logistics routing information is carried out based on the predicted delivery node, so that the prediction of the delivery node is not required to be carried out through a geo-fence, and meanwhile, the prediction of the delivery node and the calculation of the logistics routing information can be realized for the logistics provider associated with the trained address text model and the logistics provider not associated with the trained address text model, so that the overall operation load of the system is reduced, and the prediction efficiency is improved.
Referring now to fig. 4, fig. 4 illustrates a flow diagram for training an address text model based on historical inventory of a logistics provider when the historical inventory exceeds a predetermined threshold, in accordance with an embodiment of the present invention. Fig. 4 shows the following steps in total:
step S104: and acquiring the historical freight note quantity of the logistics provider where the freight notes to be processed are located.
Step S105: and judging whether the historical freight volume of the logistics supplier is larger than a preset threshold value.
If the answer in step S105 is yes, step S106 is executed: and training the address text model according to the historical waybill data of the logistics suppliers to predict the dispatch nodes of the waybill to be processed.
Therefore, through obtaining the historical freight rate quantity, the address text model can be trained on the logistics providers with the historical freight rate quantity exceeding the preset threshold value, so that the logistics providers with rising freight rate quantity are dynamically separated from the logistics providers with small freight rate quantity based on the historical freight rate quantity of the logistics providers, and the trained address text model is adopted for predicting the dispatch node in the subsequent execution.
In one particular implementation of the invention, geofence, node, and central configuration information may first be synchronized from the logistics server through an interface. The central configuration information may be stored as a data storage structure as follows: the central configuration information includes a number of fields: express delivery code, receiving province, receiving city, receiving area, receiving village and town, sending province, sending city, sending area, sending village and town, destination center code, and a segment code. Wherein, express delivery code, receiving province, receiving city, receiving area, receiving village and town, sending province, sending city, sending area and sending village and town are the main keys of the service. The node configuration information may be stored in the following data storage structure: the node configuration information includes a plurality of fields: express delivery code, destination center code, node name, two-segment code, province of the node, city of the node, district of the node, town of the node, and parent node. The express delivery code, the destination center code and the node code are service main keys. The node fence configuration information can be stored according to the following data storage structure: the node fence configuration information includes a plurality of fields: express delivery code, node type, node code, node name, node address and node geo-fence. The express code, the node type and the node code are service main keys. Therefore, the data matching and calculation based on the configuration information are facilitated through the transmission and interaction of the configuration information of the data structure. Then, the e-commerce platform can transmit information such as a package receiving node, a package receiving address and the like when electronic receipt printing is carried out, and calculates a destination center through which the package needs to pass and longitude and latitude information corresponding to the package receiving address according to the package receiving address and the package sending address. And matching the fence information of each node provided by the logistics server with the obtained longitude and latitude of the receiving address, and calculating the geographic fence to which the receiving address belongs. And the calculated geo-fence information can be correlated to obtain a dispatch node code. Therefore, logistics routing information such as multi-segment codes and transfer centers corresponding to the addressee can be calculated and obtained through the parcel collecting node information, the parcel sending node information, the destination center information and the geo-fence information.
The above are merely a plurality of specific implementation manners of the geo-fence based logistics routing information calculation method of the present invention, and each implementation manner may be implemented independently or in combination, and the present invention is not limited thereto. Furthermore, the flow charts of the present invention are merely schematic, the execution sequence between the steps is not limited thereto, and the steps can be split, combined, exchanged sequentially, or executed synchronously or asynchronously in other ways within the protection scope of the present invention.
Referring now to fig. 5, fig. 5 is a block diagram illustrating a geo-fence based logistics routing information calculation apparatus in accordance with an embodiment of the present invention. The geo-fence based logistics routing information computing device 200 includes a first acquisition module 210, a first calculation module 220, a determination module 230, a second acquisition module 240, and a second calculation module 250.
The first obtaining module 210 is configured to obtain an addressee of the to-be-processed invoice.
The first calculation module 220 is configured to calculate latitude and longitude information of the recipient address.
The determining module 230 is configured to determine the geo-fence where the recipient address is located according to the latitude and longitude information of the recipient address.
The second obtaining module 240 is configured to obtain a dispatch node corresponding to the geofence.
The second calculation module 250 is configured to calculate logistics routing information of the pending waybills at least according to the dispatch node.
In the logistics routing information calculation device based on the geo-fence, which is provided by the exemplary embodiment of the invention, the geo-fence where the receiving address is located is determined according to the latitude and longitude information of the receiving address so as to predict and obtain the corresponding dispatch node, so that the logistics routing information of the to-be-processed delivery is calculated at least according to the dispatch node, model training is not required to be carried out on a large amount of historical single data, and the logistics routing information can be accurately calculated based on the geo-fence even in the case of a small amount of single data.
Fig. 5 is a schematic diagram illustrating a geo-fence based logistics routing information calculation apparatus 200 provided by the present invention, respectively, and the splitting, combining, and adding of modules are within the protection scope of the present invention without departing from the concept of the present invention. The geo-fence based logistics routing information calculation apparatus 200 provided by the present invention can be implemented by software, hardware, firmware, plug-in and any combination thereof, and the present invention is not limited thereto.
In an exemplary embodiment of the present invention, there is also provided a computer-readable storage medium, on which a computer program is stored, which, when being executed by, for example, a processor, can implement the steps of the geo-fence based logistics routing information calculation method in any one of the above-mentioned embodiments. In some possible embodiments, the various aspects of the present invention may also be implemented in the form of a program product including program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present invention described in the geofence-based logistics routing information calculation method section above of this specification when the program product is run on the terminal device.
Referring to fig. 6, a program product 700 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the tenant computing device, partly on the tenant device, as a stand-alone software package, partly on the tenant computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing devices may be connected to the tenant computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In an exemplary embodiment of the invention, there is also provided an electronic device that may include a processor and a memory for storing executable instructions of the processor. Wherein the processor is configured to perform the steps of the geo-fence based logistics routing information calculation method of any of the above embodiments via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 7. The electronic device 500 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: at least one processing unit 510, at least one memory unit 520, a bus 530 that couples various system components including the memory unit 520 and the processing unit 510, a display unit 540, and the like.
Wherein the storage unit stores program code, which can be executed by the processing unit 510, to cause the processing unit 510 to perform the steps according to various exemplary embodiments of the present invention described in the aforementioned geo-fence based logistics routing information calculation method section of the present specification. For example, the processing unit 510 may perform the steps as shown in any one or more of fig. 1-4.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
The memory unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 500 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a tenant to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interfaces 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 560. The network adapter 560 may communicate with other modules of the electronic device 500 via the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, or a network device, etc.) to execute the above-mentioned geo-fence based logistics routing information calculation method according to the embodiment of the present invention.
Compared with the prior art, the invention has the advantages that:
the method comprises the steps that the geographic fence where the receiving address is located is determined through longitude and latitude information of the receiving address, so that a corresponding delivery node is obtained through prediction, and therefore logistics routing information of the freight note to be processed is calculated at least according to the delivery node, model training is not needed to be carried out on a large amount of historical single data, and logistics routing information of the location can be accurately calculated based on the geographic fence under the condition that the single amount is small.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
Claims (10)
1. A logistics routing information calculation method based on geo-fencing is characterized by comprising the following steps:
acquiring an addressee of a to-be-processed freight note;
calculating longitude and latitude information of the receiving address;
determining a geographic fence where the receiving address is located according to the latitude and longitude information of the receiving address;
acquiring a dispatch node corresponding to the geo-fence; and
and calculating logistics routing information of the freight note to be processed at least according to the dispatch node.
2. The geo-fence based logistics routing information calculation method of claim 1 wherein said calculating logistics routing information for pending waybills based at least on the dispatch node comprises:
and calculating the segment code for identifying the dispatch node in the multi-segment codes of the logistics routing information according to the dispatch node.
3. The geo-fence based logistics routing information calculation method of claim 1 further comprising:
obtaining the delivery address and the receiving address of the waybill to be processed, calculating the destination center of the waybill to be processed,
correspondingly, the calculating the logistics routing information of the freight note to be processed at least according to the dispatch node comprises the following steps:
and calculating the segment code which identifies the destination center in the multi-segment codes of the logistics routing information according to the destination center.
4. The geo-fence based logistics routing information calculation method of claim 1 wherein the geo-fence is synchronized from a logistics server.
5. The geo-fence based logistics routing information calculation method of any of claims 1 to 4 wherein prior to obtaining the recipient address of the pending waybill, further comprising:
acquiring a logistics provider where the waybill to be processed is located;
judging whether the logistics provider is associated with a trained address text model or not;
and if so, inputting the data of the waybill to be processed into the address text model so as to predict the dispatch node of the waybill to be processed.
6. The geo-fence based logistics routing information calculation method of claim 5 further comprising:
acquiring the historical freight note quantity of the logistics provider where the freight notes to be processed are located;
judging whether the historical waybill amount of the logistics provider is larger than a preset threshold value or not;
if so, training the address text model according to the historical waybill data of the logistics provider so as to predict the dispatch node of the waybill to be processed.
7. The geo-fence based logistics routing information calculation method of any of claims 1 to 4 wherein the logistics routing information of the pending waybill is used at least for prediction of arrival time of the pending waybill and tracking of transportation process of the pending waybill.
8. A geo-fence based logistics routing information computing apparatus, comprising:
the first acquisition module is configured to acquire an addressee of the to-be-processed freight note;
the first calculation module is configured to calculate longitude and latitude information of the addressee;
the determining module is configured to determine the geographic fence where the receiving address is located according to the latitude and longitude information of the receiving address;
a second obtaining module configured to obtain a dispatch node corresponding to the geo-fence; and
and the second calculation module is configured to calculate the logistics routing information of the freight note to be processed at least according to the dispatch node.
9. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory having stored thereon a computer program that, when executed by the processor, performs:
the geo-fence based logistics routing information calculation method of any one of claims 1 to 7.
10. A storage medium having a computer program stored thereon, the computer program when executed by a processor performing:
the geo-fence based logistics routing information calculation method of any one of claims 1 to 7.
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