Cross-border logistics trajectory data tracking method and system

Abstract

The invention provides a cross-border logistics trajectory data tracking method and system, and relates to the field of logistics data tracking, and the method comprises the steps: obtaining an original trajectory of a target waybill from a logistics provider query platform corresponding to a waybill number; processing transport nodes in the original track, mapping the transport nodes to preset nodes corresponding to a preset node conversion rule, and determining total node time consumption and total waybill time consumption of the preset nodes; determining a target aging standard corresponding to the logistics product from a preset aging standard library; and processing the total node time consumption of the preset nodes and the total waybill time consumption to obtain a node anomaly judgment result, and traversing all the preset nodes to obtain a cross-border logistics trajectory data tracking result. According to the invention, by integrating the transportation nodes of different logistics providers and the timeliness requirements of different logistics products, unified processing of trajectory data of different logistics providers is realized, more business scenes can be adapted, and the judgment accuracy is improved based on a dual anomaly judgment mechanism of total node time consumption and total waybill time consumption.

Description

Technical Field

[0001] The present invention relates to the field of logistics data tracking, and in particular to a cross-border logistics trajectory data tracking method and system. Background Art

[0002] Benefiting from the rapid development of cross-border e-commerce platforms, the scale of the cross-border e-commerce logistics market has grown significantly. The cross-border e-commerce logistics model can be summarized into two main models, three business segments, and seven operational links. Specifically, there are two main models: direct mail and overseas warehouses, including three major freight segments: domestic, international, and overseas, involving seven major links: front-end collection, transportation sorting, domestic customs, trunk transportation, foreign customs, overseas warehousing, and final delivery. Final delivery is generally carried out by local express service providers. The transportation mode of cross-border direct mail parcels is from domestic to overseas end customers. The platform has strict timeliness assessment and the entire node cycle is short. It is necessary to control the logistics node monitoring and tracking of this link to ensure that the goods can arrive at the destination safely and on time. With the further development of cross-border e-commerce, social media and marketing channels, brands can directly contact consumers, production and sales pay more attention to timeliness and experience, and cross-border logistics tracking has become increasingly important.

[0003] At present, there are generally two modes for tracking cross-border logistics. The first mode is to query through a centralized logistics track platform. The problem is that the track is incomplete, usually only the track of the overseas last-mile part, and it is mainly result-oriented. It is impossible to systematically determine whether there is anomaly, and it is impossible to intervene in abnormal nodes in the system, and the monitoring of nodes is limited. The second mode is to use the track provided by the logistics company. The logistics company that carries the waybill will regularly send the track information of the waybill manually, and judge based on the track information of the logistics company. Its disadvantages include dependence on manual provision, poor timeliness, and being subject to manual working hours. It is impossible to know the latest status of the order in the first time. Different logistics companies provide different data formats and node definitions. The workload of manual data processing is large and the adjustment is not flexible enough; there is information distortion in manual statistics, and the authenticity of each order cannot be accurately determined; manual operations cannot achieve standardized disposal records and abnormal analysis during the processing.

[0004] Both of the above methods are not sufficient to meet the current requirements for refined logistics tracking, and there is currently no technical solution that can solve the above technical problems, nor is there a cross-border logistics trajectory data tracking method and system. Summary of the invention

[0005] The present invention provides a cross-border logistics trajectory data tracking method and system, which obtains the entire trajectory of the waybill from shipment to delivery, and combines the differences in logistics providers and logistics products to make timeliness anomaly judgments based on uniformly defined nodes and identify abnormal nodes.

[0006] In a first aspect, the present invention provides a method for tracking cross-border logistics trajectory data, comprising: According to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the waybill number; Processing the transport nodes in the original trajectory according to the preset node conversion rule, mapping all the transport nodes to the preset nodes corresponding to the preset node conversion rule, and for each preset node, determining the total node time and the total waybill time of the preset node, wherein the total waybill time is determined according to the time from the starting node in the transport node to the preset node; According to the logistics product corresponding to the waybill number, determine the target time efficiency standard corresponding to the logistics product from the preset time efficiency standard library; The total node time consumption and the total waybill time consumption of the preset node are processed according to the target time efficiency standard to obtain the node abnormality judgment result of the preset node, and all preset nodes are traversed to obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill.

[0007] According to the cross-border logistics trajectory data tracking method provided by the present invention, the original trajectory of the target waybill is obtained from the logistics provider query platform corresponding to the waybill number according to the waybill number of the target waybill, including: Determine the logistics provider information of the target waybill according to the waybill number of the target waybill; According to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the logistics provider information; Different logistics provider information corresponds to different logistics provider query platforms.

[0008] According to the cross-border logistics trajectory data tracking method provided by the present invention, before processing the transport nodes in the original trajectory according to the preset node conversion rules, the method further includes: For any logistics provider, obtain each delivery node corresponding to the logistics provider; Classifying each transport node according to its node type, and establishing a corresponding relationship between each transport node and each classification result, wherein the classification result is the preset node; Traversing all logistics providers, constructing each mapping relationship between each transport node and each preset node in each logistics provider, and constructing the preset node conversion rules based on all mapping relationships; Among them, the granularity and description definition of each transportation node in different logistics providers are different.

[0009] According to the cross-border logistics trajectory data tracking method provided by the present invention, the classification results in the preset node conversion rules include warehouse shipment, door-to-door collection, departure bagging, customs release, take-off, landing, customs release, terminal transshipment, local distribution and delivery; When the preset node is local delivery, the delivery node includes at least one of leaving the destination country delivery processing center, the package arriving at the destination country transit center, the package leaving the destination country transit center, arriving at the destination country final delivery point, and leaving the destination country final delivery point.

[0010] According to the cross-border logistics trajectory data tracking method provided by the present invention, after all transport nodes are mapped to the preset nodes corresponding to the preset node conversion rules, the method includes: A user input is received, wherein the user input is used to instruct to delete a preset node that has no mapping relationship with any transport node.

[0011] According to the cross-border logistics trajectory data tracking method provided by the present invention, before determining the target timeliness standard corresponding to the logistics product from the preset timeliness standard library, the method further includes: For any logistics provider, obtain the time efficiency service standard corresponding to each logistics product of the logistics provider; According to the time efficiency service standard, determine the total time consumption standard of the node and the total time consumption standard of the waybill corresponding to the logistics provider at different preset nodes; Traverse all logistics providers, determine the total node time consumption standard and the total waybill time consumption standard corresponding to each logistics provider in different preset nodes, so as to construct the preset time efficiency standard library.

[0012] According to the cross-border logistics trajectory data tracking method provided by the present invention, when the node time of the preset node has been obtained, the total node time and the total waybill time of the preset node are processed according to the target timeliness standard to obtain the node abnormality judgment result of the preset node, including: Processing the total node time consumption according to the total node time consumption standard in the target time efficiency standard to determine a first judgment result of the preset node; Processing the total time consumption of the waybill according to the total time consumption standard of the waybill in the target time efficiency standard, and determining the second judgment result of the preset node; When both the first judgment result and the second judgment result are normal, the node abnormality judgment result is determined to be normal; otherwise, the node abnormality judgment result is determined to be abnormal.

[0013] According to the cross-border logistics trajectory data tracking method provided by the present invention, when the node time of the preset node is not obtained, the total node time and the total waybill time of the preset node are processed according to the target timeliness standard to obtain the node abnormality judgment result of the preset node, including: Determine the time consumed by the current node of the preset node and the time consumed by the current waybill according to the current system time; Processing the time consumed by the current node according to the total node time consumption standard in the target time efficiency standard, and determining a third judgment result of the preset node; Processing the time consumed by the current waybill according to the total time consumption standard of the waybill in the target time efficiency standard, and determining the fourth judgment result of the preset node; When the third judgment result and the fourth judgment result are both normal, the node abnormality judgment result is determined to be normal; otherwise, the node abnormality judgment result is determined to be abnormal.

[0014] According to the cross-border logistics trajectory data tracking method provided by the present invention, traversing all preset nodes to obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill includes: Traverse all preset nodes, and when the node anomaly judgment result of any preset node is abnormal, determine that the cross-border logistics trajectory data tracking result is abnormal, otherwise, determine that the cross-border logistics trajectory data tracking result is normal.

[0015] In the second aspect, a cross-border logistics trajectory data tracking system is provided, including: An acquisition unit, the acquisition unit is used to acquire the original track of the target waybill from the logistics provider query platform corresponding to the waybill number according to the waybill number of the target waybill; A mapping unit, the mapping unit is used to process the transport nodes in the original trajectory according to a preset node conversion rule, map all the transport nodes to the preset nodes corresponding to the preset node conversion rule, and for each preset node, determine the total node time and the total waybill time of the preset node, wherein the total waybill time is determined according to the time from the starting node in the transport node to the preset node; A determination unit, the determination unit is used to determine, according to the logistics product corresponding to the waybill number, a target timeliness standard corresponding to the logistics product from a preset timeliness standard library; A processing unit, the processing unit is used to process the total node time consumption of the preset node and the total waybill time consumption according to the target time efficiency standard, obtain the node abnormality judgment result of the preset node, traverse all preset nodes, and obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill.

[0016] The present invention provides a cross-border logistics trajectory data tracking method and system. By integrating the delivery nodes of different logistics companies and the timeliness requirements of different logistics products, the unified processing of trajectory data of different logistics companies is realized. The node abnormality judgment rules of the present invention are diversified and can adapt to more business scenarios. It supports both single node time judgment and cumulative time judgment. The dual abnormality judgment mechanism based on the total node time and the total waybill time improves the accuracy and flexibility of the judgment. Since most of the logistics trajectories on the market currently obtain the overseas part, and the domestic part is missing, the present invention can identify the complete trajectory of the waybill and realize the comprehensive tracking of the cross-border logistics trajectory. The present invention establishes a unified trajectory tracking framework, determines the key nodes of tracking, provides automatic docking with query platforms of different logistics providers, establishes standardized node conversion rules, determines the mapping rules of logistics provider trajectories, and uniformly converts logistics trajectories of different calibers into node trajectories of the same caliber, which is convenient for unified processing of trajectory data of different logistics providers, provides detailed node classification and mapping rules, enhances the operability and adaptability of the rules, enhances the flexibility of user customization, and can adjust the node settings according to actual needs. It also establishes a comprehensive timeliness standard library, provides a reliable basis for abnormal judgment, and provides a judgment mechanism when the actual node time is not obtained and when the actual node time is obtained, ensuring the comprehensiveness of abnormal judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of the cross-border logistics trajectory data tracking method provided by the present invention; Figure 2 It is a business flow chart of the cross-border logistics trajectory data tracking method provided by the present invention; Figure 3 It is a structural schematic diagram of the cross-border logistics trajectory data tracking system provided by the present invention; Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Figure 1 : is a flow chart of a cross-border logistics trajectory data tracking method provided by the present invention, the cross-border logistics trajectory data tracking method comprising: Step 101: According to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the waybill number; Step 102: Process the transport nodes in the original trajectory according to the preset node conversion rule, map all the transport nodes to the preset nodes corresponding to the preset node conversion rule, and for each preset node, determine the total node time and the total waybill time of the preset node, wherein the total waybill time is determined according to the time from the starting node in the transport node to the preset node; Step 103: According to the logistics product corresponding to the waybill number, determine the target time efficiency standard corresponding to the logistics product from the preset time efficiency standard library; Step 104: Process the total node time consumption of the preset node and the total waybill time consumption according to the target time efficiency standard, obtain the node abnormality judgment result of the preset node, traverse all preset nodes, and obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill.

[0021] In step 101, according to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the waybill number, including: Determine the logistics provider information of the target waybill according to the waybill number of the target waybill; According to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the logistics provider information; Different logistics provider information corresponds to different logistics provider query platforms.

[0022] Optionally, the user inputs the waybill number of the target waybill, determines the logistics provider corresponding to the waybill number by parsing the waybill number or querying the database, calls the API interface or query platform of the corresponding logistics provider based on the logistics provider information, retrieves and obtains the original trajectory data of the target waybill from the logistics provider query platform, which usually includes a series of timestamps and corresponding events or nodes. The present invention supports data acquisition from multiple logistics providers, thereby improving the versatility and scalability of the system.

[0023] In step 102, the present invention traverses each transport node in the original trajectory, maps it to the corresponding preset node according to the preset node conversion rule, and for each preset node, calculates the total time from the start time of the preset node to the current moment, and determines it as the total node time of the preset node. At the same time, the total time from the start node in the transport node to the current preset node is calculated, and it is determined as the total time of the waybill. The present invention can unify the trajectory data of different logistics companies into preset nodes, which is convenient for subsequent analysis and processing, and provides detailed data on the total node time and the total waybill time, providing data support for subsequent double-layer time judgment.

[0024] Optionally, before processing the transport node in the original trajectory according to the preset node conversion rule, the method further includes: For any logistics provider, obtain each delivery node corresponding to the logistics provider; Classifying each transport node according to its node type, and establishing a corresponding relationship between each transport node and each classification result, wherein the classification result is the preset node; Traversing all logistics providers, constructing each mapping relationship between each transport node and each preset node in each logistics provider, and constructing the preset node conversion rules based on all mapping relationships; Among them, the granularity and description definition of each transportation node in different logistics providers are different.

[0025] Optionally, since the granularity and description definition of each transport node in different logistics providers are different, it is necessary to build preset node conversion rules before processing the transport nodes in the logistics trajectory data. This step is crucial for unifying the description and format of node data between different logistics providers, especially when processing cross-border logistics data from multiple logistics providers, so as to eliminate data inconsistency problems caused by differences in node naming and description.

[0026] First, for each logistics provider, all the corresponding transportation nodes are obtained, which is the basic data for constructing the conversion rules. Next, the transportation nodes are classified according to the type of node (such as departure point, transfer station, destination, etc.). The purpose of this step is to unify the nodes that may have different names or descriptions but are essentially of the same type in different logistics providers, and to build a corresponding relationship between each transportation node and its classification result (i.e., preset node). In this way, no matter how the name or description of the node in the original data changes, its corresponding preset node can be found through this correspondence. Finally, all logistics providers are traversed, and a mapping relationship with the preset node is established for each transportation node in each logistics provider. Based on these mapping relationships, the preset node conversion rules are finally constructed. This rule will be used in subsequent processing to convert the transportation nodes in the original trajectory data into a unified preset node format. Through a detailed classification and mapping process, the impact of this difference on subsequent data processing and analysis can be minimized.

[0027] For example, there are two logistics providers, A and B, both of which provide logistics services from city A to city B. However, in the system of logistics provider A, the transfer station is marked as "Transfer Hub A", while in the system of logistics provider B, the same transfer station is marked as "Intermediate Stop B". Through the node classification process, we can classify both nodes as the preset node "C Transfer Service Center". Then, when building the mapping relationship, we will establish a mapping for both "Transfer Hub A" of logistics provider A and "Intermediate Stop B" of logistics provider B to the preset node "C Transfer Service Center". Finally, in the conversion rule, no matter which name appears in the original data, it will be converted into a unified transfer station.

[0028] For example, different logistics providers have different node granularity, different definitions, and different circulation methods, so it is necessary to map the node rules of logistics providers into set standard nodes. The nodes that logistics provider A may experience before signing for the package include: leaving the destination country delivery processing center, the package arriving at the destination country transit center, the package leaving the destination country transit center, arriving at the destination country's last delivery point, and leaving the destination country's last delivery point. These nodes will be uniformly mapped to the preset node "local delivery node" classification node.

[0029] Optionally, the classification results in the preset node conversion rules include warehouse shipment, door-to-door collection, departure bagging, customs release, take-off, landing, customs release, terminal transshipment, local distribution and delivery; When the preset node is local delivery, the delivery node includes at least one of leaving the destination country delivery processing center, the package arriving at the destination country transit center, the package leaving the destination country transit center, arriving at the destination country final delivery point, and leaving the destination country final delivery point.

[0030] Optionally, for example, warehouse shipment includes order confirmation, picking, packing, labeling, weighing and scanning, and outbound delivery; door-to-door collection includes appointment for collection, arrival of collector, inspection and packaging, printing of waybills, and successful collection; departure bagging includes cargo concentration, bagging and sealing, labeling and scanning, loading onto vehicles, submission of customs declaration documents, customs inspection, and obtaining release notice; take-off includes cargo loading, security inspection, take-off preparation, and take-off; landing includes aircraft landing, unloading, transfer to warehouse, submission of entry customs declaration documents, customs inspection, and obtaining entry release notice; terminal transfer includes sorting, loading, and other transportation nodes; successful delivery includes arrival at the delivery point, contacting customers, door-to-door delivery, signing for, and end of distribution.

[0031] Optionally, after mapping all transport nodes to preset nodes corresponding to the preset node conversion rule, the method includes: A user input is received, wherein the user input is used to instruct to delete a preset node that has no mapping relationship with any transport node.

[0032] Optionally, after mapping all transport nodes to preset nodes corresponding to preset node conversion rules, an optional step is introduced to receive user input to delete preset nodes that have no mapping relationship with any transport node, allowing users to adjust the preset node conversion rules according to actual needs, thereby enhancing the flexibility and adaptability of the system. Deleting preset nodes that are not actually used helps reduce redundant data in the system and improve the efficiency and accuracy of data processing.

[0033] Furthermore, first ensure that the process of mapping all actual transportation nodes to the preset nodes in the preset node conversion rules has been completed, and then the system provides an interface or interface for the user to input instructions to instruct the system to delete those preset nodes that are not actually mapped by any transportation nodes in the current logistics process. After receiving the user input, the system will execute the corresponding logic to process this request, which may include finding all unmapped preset nodes and asking the user whether he really wants to delete these nodes (to prevent misoperation). If the user confirms, these nodes will be removed from the preset node conversion rules.

[0034] In step 103, the logistics product corresponding to the target waybill is determined based on the waybill number or database query, and the corresponding target timeliness standard is retrieved and obtained in the preset timeliness standard library based on the logistics product name or code. These standards usually include the total time consumption standard for the node and the total time consumption standard for the waybill, to ensure that each logistics product can correspond to the correct timeliness standard, and provide corresponding evaluation standards for subsequent abnormal judgments, thereby improving the adaptability and flexibility of the system.

[0035] Optionally, before determining the target aging standard corresponding to the logistics product from the preset aging standard library, the method further includes: For any logistics provider, obtain the time efficiency service standard corresponding to each logistics product of the logistics provider; According to the time efficiency service standard, determine the total time consumption standard of the node and the total time consumption standard of the waybill corresponding to the logistics provider at different preset nodes; Traverse all logistics providers, determine the total node time consumption standard and the total waybill time consumption standard corresponding to each logistics provider in different preset nodes, so as to construct the preset time efficiency standard library.

[0036] Optionally, before determining the target time efficiency standard corresponding to a specific logistics product from the preset time efficiency standard library, building this preset time efficiency standard library is a key step, which ensures that the system can evaluate and optimize the logistics process based on accurate and comprehensive time efficiency data. First, the system needs to collect the logistics products provided by each logistics provider and their corresponding time efficiency service standards. These standards may include different transportation modes, estimated transportation time under different service levels, transit time, etc.; based on the collected time efficiency service standards, for example, if there are multiple transportation nodes in any preset node, and each transportation node has a corresponding node time consumption standard, then in this embodiment, the node time consumption standards of all transportation nodes in the preset node can be accumulated, and then the node processing time of each logistics provider in different preset nodes (such as departure place, transit place, destination, etc.) is determined, which includes all the time consumption in the node, such as loading and unloading, sorting, waiting for transit, etc.

[0037] Optionally, after completing the analysis of a single logistics provider, the system needs to traverse all related logistics providers, summarize and organize their respective total node time consumption standards and waybill total time consumption standards in different preset nodes. Ultimately, these summarized data will constitute a preset time efficiency standard library, which contains the time efficiency data of each logistics provider under different conditions, for subsequent target time efficiency standard determination and other logistics analysis.

[0038] In step 104, for each preset node, the total node time and the total waybill time are compared with the corresponding standards in the target time efficiency standard. If any time exceeds the standard value, the node is judged to be abnormal. Those skilled in the art understand that for any logistics product of any logistics provider, the time efficiency standard verification of the corresponding total node time standard and the total waybill time standard is not set for each preset node. This can be flexibly set according to the specific needs of different logistics providers.

[0039] Optionally, different logistics companies have different service timeliness standards for different logistics products, so different assessment standards need to be formulated. According to the service timeliness standards of the logistics products, the timeliness data of each link set in the present invention are corresponding, and the abnormal standards are set accordingly. There are two types of assessment standards: total node time consumption and total waybill time consumption. In the total node time consumption, it is set according to the single node time consumption. For example, the service timeliness standard given for logistics product F of a logistics company E is to complete the collection within 24 hours. For the collection node, the standard can be set according to the single node time consumption. The time difference between the collection node and the outbound node is up to 24 hours. If it exceeds 24 hours, it is abnormal; it is set according to the total waybill time consumption. For example, the service timeliness standard given for logistics product H of a logistics company G is 7 days to deliver to the customer, then the delivery node can be set according to the total waybill time consumption, and the time consumption of the delivery node to the starting node is calculated. If the total time consumption is greater than 168 hours, it is abnormal.

[0040] Optionally, the present invention will judge the node abnormality in two cases. When the node time of the preset node has been obtained, the total node time and the total waybill time of the preset node are processed according to the target timeliness standard to obtain the node abnormality judgment result of the preset node, including: Processing the total node time consumption according to the total node time consumption standard in the target time efficiency standard to determine a first judgment result of the preset node; Processing the total time consumption of the waybill according to the total time consumption standard of the waybill in the target time efficiency standard, and determining the second judgment result of the preset node; When both the first judgment result and the second judgment result are normal, the node abnormality judgment result is determined to be normal; otherwise, the node abnormality judgment result is determined to be abnormal.

[0041] Optionally, when the node time of the preset node has been obtained, the timeliness judgment can be made according to the specific node completion time. By considering the two dimensions of total node time and total waybill time at the same time, the performance of the logistics node can be more comprehensively evaluated. This multi-dimensional evaluation method can better reflect the complexity and dynamics of the logistics process than a single dimension (such as only considering the total node time). According to the total node time standard and the total waybill time standard in the target timeliness standard, two independent judgment results (the first judgment result and the second judgment result) can be obtained respectively. Only when both results indicate normality, the node abnormality judgment result is finally determined to be normal, which improves the accuracy and reliability of the judgment.

[0042] Furthermore, the present invention allows different timeliness standards to be set according to different logistics products and services, so as to meet the needs of different customers. At the same time, it also supports dynamic adjustment of timeliness standards to adapt to market changes and changes in customer needs. For example, the setting of timeliness standards can be adjusted once every preset time interval, taking into full account various factors such as logistics distance, transportation mode, seasonal changes, etc.

[0043] Optionally, when the node time of the preset node is not obtained, the total node time consumption and the total waybill time consumption of the preset node are processed according to the target time efficiency standard to obtain the node abnormality judgment result of the preset node, including: Determine the time consumed by the current node of the preset node and the time consumed by the current waybill according to the current system time; Processing the time consumed by the current node according to the total node time consumption standard in the target time efficiency standard, and determining a third judgment result of the preset node; Processing the time consumed by the current waybill according to the total time consumption standard of the waybill in the target time efficiency standard, and determining the fourth judgment result of the preset node; When the third judgment result and the fourth judgment result are both normal, the node abnormality judgment result is determined to be normal; otherwise, the node abnormality judgment result is determined to be abnormal.

[0044] Optionally, when the node time of the preset node cannot be obtained, the present invention cleverly uses the current system time as a substitute to calculate the current node time consumed and the current waybill time consumed of the preset node. This judgment strategy ensures that even when the data is incomplete, a certain degree of abnormal judgment can be performed. Similar to the scheme mentioned in the case where the node time of the preset node has been obtained, the scheme in this embodiment also adopts a dual judgment mechanism, and processes the current node time consumed and the current waybill time consumed according to the node total time consumed standard and the waybill total time consumed standard in the target timeliness standard, respectively, to obtain a third judgment result and a fourth judgment result. Only when both results indicate normal, the node abnormality judgment result is finally determined to be normal, so that the present invention can dynamically perform abnormality judgment according to the current time without waiting for specific node time data, thereby improving the real-time response capability and flexibility of the system. Especially when the real-time requirements of logistics data are high, the advantages of the scheme recorded in this embodiment will be particularly significant.

[0045] Optionally, the traversal of all preset nodes to obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill includes: traversing all preset nodes, and determining that the cross-border logistics trajectory data tracking result is abnormal when the node abnormality judgment result of any preset node is abnormal, otherwise, determining that the cross-border logistics trajectory data tracking result is normal. Traverse all preset nodes and repeat the above abnormality judgment process. If all preset nodes are judged to be normal, the entire cross-border logistics trajectory data tracking result is normal. If any node is judged to be abnormal, the entire tracking result is abnormal. Further, the tracking result can also be output to the user in the form of a report, notification or interface display. The present invention can timely discover abnormal situations in the logistics process and improve the timeliness of problem handling. By traversing all preset nodes, a comprehensive evaluation of the entire logistics process is ensured. The present invention can obtain the entire trajectory of the waybill from shipment to delivery, and perform abnormal judgment according to a unified node definition to identify abnormal nodes. Thereby discovering problems as early as possible, and then solving them, and promoting rapid logistics to the greatest extent.

[0046] The present invention provides a method for tracking cross-border logistics trajectory data. By integrating the delivery nodes of different logistics companies and the timeliness requirements of different logistics products, unified processing of trajectory data of different logistics companies is achieved. The node anomaly judgment rules of the present invention are diversified and can adapt to more business scenarios. It supports both single node time judgment and cumulative time judgment. The dual anomaly judgment mechanism based on total node time and total waybill time improves the accuracy and flexibility of judgment. Since most of the logistics trajectories on the market currently obtain the overseas part and the domestic section is missing, the present invention can identify the complete trajectory of the waybill and achieve comprehensive tracking of the cross-border logistics trajectory.

[0047] Figure 2 The business flow chart of the cross-border logistics trajectory data tracking method provided by the present invention specifically includes the following steps: S1: Determine the waybill tracking nodes; according to business needs, determine the overall waybill tracking nodes; such as outbound, collection, shipment, arrival, and delivery nodes; S2: Determine the abnormal rules of the waybill nodes; determine the timeliness distribution of the above waybill tracking nodes and the timeout abnormality standards according to the channel service timeliness standards of the logistics providers; S3: Configure the corresponding rules for the logistics track nodes: Identify the nodes specified in step S1 from the complete track set by the logistics provider and configure the corresponding rules; S4: Get the shipped shipping order: Get the shipping order number and the logistics provider channel to which the shipping order belongs.

[0048] S5: Get node track: Connect to the logistics provider's track interface to obtain the complete track of the waybill, and obtain the actual time of the target node according to the corresponding rules configured in step S3.

[0049] S6: Complete the judgment of the waybill node abnormality: According to the actual time of the node obtained in step S5 and the timeout abnormality standard of the channel determined in step S2, judge whether the waybill has a timeout abnormality at each node.

[0050] S7: For node anomalies identified, follow up and handle them manually to verify the causes. For blocked waybills, please ask the logistics provider to follow up and handle them to ensure that delivery can be completed on time.

[0051] Figure 3 It is a structural diagram of the cross-border logistics trajectory data tracking system provided by the present invention. The cross-border logistics trajectory data tracking system includes an acquisition unit 1, which is used to obtain the original trajectory of the target waybill from the logistics provider query platform corresponding to the waybill number according to the waybill number of the target waybill. The working principle of the acquisition unit 1 can refer to the aforementioned step 101 and will not be repeated here.

[0052] The cross-border logistics trajectory data tracking system also includes a mapping unit 2, which is used to process the transportation nodes in the original trajectory according to the preset node conversion rules, and map all transportation nodes to the preset nodes corresponding to the preset node conversion rules. For each preset node, the total node time and the total waybill time of the preset node are determined. The total waybill time is determined based on the time from the starting node in the transportation node to the preset node. The working principle of the mapping unit 2 can refer to the aforementioned step 102 and will not be repeated here.

[0053] The cross-border logistics trajectory data tracking system also includes a determination unit 3, which is used to determine the target timeliness standard corresponding to the logistics product from a preset timeliness standard library based on the logistics product corresponding to the waybill number. The working principle of the determination unit 3 can refer to the aforementioned step 103 and will not be repeated here.

[0054] The cross-border logistics trajectory data tracking system also includes a processing unit 4, which is used to process the total node time consumption and the total waybill time consumption of the preset node according to the target time efficiency standard, obtain the node abnormality judgment result of the preset node, traverse all preset nodes, and obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill. The working principle of the processing unit 4 can refer to the aforementioned step 104 and will not be repeated here.

[0055] The present invention provides a cross-border logistics trajectory data tracking system, which realizes the unified processing of trajectory data of different logistics companies by integrating the delivery nodes of different logistics companies and the timeliness requirements of different logistics products. The node abnormality judgment rules of the present invention are diversified and can adapt to more business scenarios. It supports both single node time judgment and cumulative time judgment. The dual abnormality judgment mechanism based on the total node time and the total waybill time improves the accuracy and flexibility of the judgment. Since most of the logistics trajectories on the market currently obtain the overseas part and the domestic section is missing, the present invention can identify the complete trajectory of the waybill and realize comprehensive tracking of the cross-border logistics trajectory.

[0056] Figure 4 Schematic diagram of the structure of the electronic device provided by the present invention. Figure 4As shown, the electronic device may include: a processor (processor) 410 , a communication interface (CommunicationsInterface) 420 , a memory (memory) 430 and a communication bus 440 , wherein the processor 410 , the communication interface 420 , and the memory 430 communicate with each other through the communication bus 440 . The processor 410 can call the logic instructions in the memory 430 to execute the cross-border logistics trajectory data tracking method, which includes: according to the waybill number of the target waybill, obtaining the original trajectory of the target waybill from the logistics provider query platform corresponding to the waybill number; processing the transportation nodes in the original trajectory according to the preset node conversion rules, mapping all transportation nodes to the preset nodes corresponding to the preset node conversion rules, and for each preset node, determining the total node time and the total waybill time of the preset node, and the total waybill time is determined according to the time from the starting node in the transportation node to the preset node; according to the logistics product corresponding to the waybill number, determining the target timeliness standard corresponding to the logistics product from the preset timeliness standard library; processing the total node time and the total waybill time of the preset node according to the target timeliness standard, obtaining the node abnormality judgment result of the preset node, traversing all preset nodes, and obtaining the cross-border logistics trajectory data tracking result corresponding to the target waybill.

[0057] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0058] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute a cross-border logistics trajectory data tracking method provided by the above methods, the method comprising: according to the waybill number of the target waybill, obtaining the original trajectory of the target waybill from the logistics provider query platform corresponding to the waybill number; processing the transportation nodes in the original trajectory according to the preset node conversion rule, mapping all transportation nodes to the preset nodes corresponding to the preset node conversion rule, for each preset node, determining the total node time consumption and the total waybill time consumption of the preset node, the total waybill time consumption is determined according to the time elapsed from the starting node in the transportation node to the preset node; according to the logistics product corresponding to the waybill number, determining the target time efficiency standard corresponding to the logistics product from the preset time efficiency standard library; processing the total node time consumption and the total waybill time consumption of the preset node according to the target time efficiency standard, obtaining the node abnormality judgment result of the preset node, traversing all preset nodes, and obtaining the cross-border logistics trajectory data tracking result corresponding to the target waybill.

[0059] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the cross-border logistics trajectory data tracking method provided by the above-mentioned methods, the method comprising: according to the waybill number of the target waybill, obtaining the original trajectory of the target waybill from the logistics provider query platform corresponding to the waybill number; processing the transportation nodes in the original trajectory according to the preset node conversion rules, mapping all transportation nodes to the preset nodes corresponding to the preset node conversion rules, and for each preset node, determining the total node time consumption and the total waybill time consumption of the preset node, the total waybill time consumption is determined according to the time elapsed from the starting node in the transportation node to the preset node; according to the logistics product corresponding to the waybill number, determining the target time efficiency standard corresponding to the logistics product from the preset time efficiency standard library; processing the total node time consumption and the total waybill time consumption of the preset node according to the target time efficiency standard, obtaining the node abnormality judgment result of the preset node, traversing all preset nodes, and obtaining the cross-border logistics trajectory data tracking result corresponding to the target waybill.

[0060] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0061] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A cross-border logistics trajectory data tracking method, characterized in that: include: According to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the waybill number; Processing the transport nodes in the original trajectory according to the preset node conversion rule, mapping all the transport nodes to the preset nodes corresponding to the preset node conversion rule, and for each preset node, determining the total node time and the total waybill time of the preset node, wherein the total waybill time is determined according to the time from the starting node in the transport node to the preset node; According to the logistics product corresponding to the waybill number, determine the target time efficiency standard corresponding to the logistics product from the preset time efficiency standard library; The total node time consumption and the total waybill time consumption of the preset node are processed according to the target time efficiency standard to obtain the node abnormality judgment result of the preset node, and all preset nodes are traversed to obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill.

2. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: The obtaining the original track of the target waybill from the logistics provider query platform corresponding to the waybill number according to the waybill number of the target waybill includes: Determine the logistics provider information of the target waybill according to the waybill number of the target waybill; According to the waybill number of the target waybill, the original track of the target waybill is obtained from the logistics provider query platform corresponding to the logistics provider information; Different logistics provider information corresponds to different logistics provider query platforms.

3. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: Before processing the transport nodes in the original trajectory according to the preset node conversion rule, the method further includes: For any logistics provider, obtain each delivery node corresponding to the logistics provider; Classifying each transport node according to its node type, and establishing a corresponding relationship between each transport node and each classification result, wherein the classification result is the preset node; Traversing all logistics providers, constructing each mapping relationship between each transport node and each preset node in each logistics provider, and constructing the preset node conversion rules based on all mapping relationships; Among them, the granularity and description definition of each transportation node in different logistics providers are different.

4. The cross-border logistics trajectory data tracking method according to claim 3 is characterized in that: The classification results in the preset node conversion rules include warehouse shipment, door-to-door collection, departure bagging, customs clearance, take-off, landing, customs clearance, terminal transshipment, local distribution and delivery; When the preset node is local delivery, the delivery node includes at least one of leaving the destination country delivery processing center, the package arriving at the destination country transit center, the package leaving the destination country transit center, arriving at the destination country final delivery point, and leaving the destination country final delivery point.

5. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: After mapping all transport nodes to the preset nodes corresponding to the preset node conversion rules, the method includes: A user input is received, wherein the user input is used to instruct to delete a preset node that has no mapping relationship with any transport node.

6. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: Before determining the target aging standard corresponding to the logistics product from the preset aging standard library, the method further includes: For any logistics provider, obtain the time efficiency service standard corresponding to each logistics product of the logistics provider; According to the time efficiency service standard, determine the total time consumption standard of the node and the total time consumption standard of the waybill corresponding to the logistics provider at different preset nodes; Traverse all logistics providers, determine the total node time consumption standard and the total waybill time consumption standard corresponding to each logistics provider in different preset nodes, so as to construct the preset time efficiency standard library.

7. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: In the case where the node time of the preset node has been obtained, the total node time consumption and the total waybill time consumption of the preset node are processed according to the target time efficiency standard to obtain the node abnormality judgment result of the preset node, including: Processing the total node time consumption according to the total node time consumption standard in the target time efficiency standard to determine a first judgment result of the preset node; Processing the total time consumption of the waybill according to the total time consumption standard of the waybill in the target time efficiency standard, and determining the second judgment result of the preset node; When both the first judgment result and the second judgment result are normal, the node abnormality judgment result is determined to be normal; otherwise, the node abnormality judgment result is determined to be abnormal.

8. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: In the case where the node time of the preset node is not obtained, the total node time consumption and the total waybill time consumption of the preset node are processed according to the target time efficiency standard to obtain the node abnormality judgment result of the preset node, including: Determine the time consumed by the current node of the preset node and the time consumed by the current waybill according to the current system time; Processing the time consumed by the current node according to the total node time consumption standard in the target time efficiency standard, and determining a third judgment result of the preset node; Processing the time consumed by the current waybill according to the total time consumption standard of the waybill in the target time efficiency standard, and determining the fourth judgment result of the preset node; When the third judgment result and the fourth judgment result are both normal, the node abnormality judgment result is determined to be normal; otherwise, the node abnormality judgment result is determined to be abnormal.

9. The cross-border logistics trajectory data tracking method according to claim 1 is characterized in that: The traversal of all preset nodes to obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill includes: Traverse all preset nodes, and when the node anomaly judgment result of any preset node is abnormal, determine that the cross-border logistics trajectory data tracking result is abnormal, otherwise, determine that the cross-border logistics trajectory data tracking result is normal.

10. A cross-border logistics trajectory data tracking system, characterized in that: include: An acquisition unit, the acquisition unit is used to acquire the original track of the target waybill from the logistics provider query platform corresponding to the waybill number according to the waybill number of the target waybill; A mapping unit, the mapping unit is used to process the transport nodes in the original trajectory according to a preset node conversion rule, map all the transport nodes to the preset nodes corresponding to the preset node conversion rule, and for each preset node, determine the total node time and the total waybill time of the preset node, wherein the total waybill time is determined according to the time from the starting node in the transport node to the preset node; A determination unit, the determination unit is used to determine, according to the logistics product corresponding to the waybill number, a target timeliness standard corresponding to the logistics product from a preset timeliness standard library; A processing unit, the processing unit is used to process the total node time consumption of the preset node and the total waybill time consumption according to the target time efficiency standard, obtain the node abnormality judgment result of the preset node, traverse all preset nodes, and obtain the cross-border logistics trajectory data tracking result corresponding to the target waybill.

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