CN113139376A

CN113139376A - Method for realizing express mail address verification

Info

Publication number: CN113139376A
Application number: CN202010051975.2A
Authority: CN
Inventors: 不公告发明人
Original assignee: Guangzhou Minhang Blockchain Technology Co ltd
Current assignee: Guangzhou Minhang Blockchain Technology Co ltd
Priority date: 2020-01-17
Filing date: 2020-01-17
Publication date: 2021-07-20

Abstract

The invention discloses a method for realizing express delivery address verification, which is applied to the field of logistics transportation. The technical scheme is as follows: constructing an automatic waybill identification model, and automatically judging an express company to which the waybill belongs by using the automatic waybill identification model and a regular matching rule; constructing an express geographical element dictionary, distributing word weights, customizing a rule base, loading a corresponding transportation information text according to a waybill number, extracting address information from the transportation information text, and analyzing and verifying the address information; and carrying out secondary extraction on the transportation information text, acquiring time, personnel and operation elements, sequencing according to the time, carrying out cross comparison and judgment, and outputting a risk rating. The invention has the beneficial effects that: the identification of the express company to which the waybill belongs is not interfered by the coded format of the waybill; the acquisition of relevant factors such as the place, the time and the like is not interfered by the format of the transportation information, and the unified verification can be successfully carried out on various logistics information.

Description

Method for realizing express mail address verification

Technical Field

The invention relates to the field of logistics transportation, in particular to a method for realizing express delivery destination verification.

Background

When internet electronic commerce develops rapidly, the problem of network message loss is more prominent, and particularly, situations such as false transactions, letter swiping and letter frying are frequent, and the situations are specifically represented as false waybill numbers, false shipments, false receipts and the like. Therefore, the method is a good solution for handling the problem of e-commerce network loss of credit in the aspect of express delivery supervision.

However, the logistics informatization is slow, the industry standards, specifications and the like are not perfect, and the information resources and the storage modes have the characteristics of differentiation and differentiation, so that the data information exchange sharing and the comprehensive utilization are difficult. Different express companies have different information recording modes, which causes the results of disordered waybill coding formats, different types of information data formats for proper delivery, large difference in selection of proper delivery points and the like of different express companies, and the unified verification and utilization of logistics information are not difficult.

Disclosure of Invention

In view of the above-mentioned drawbacks and deficiencies of the prior art, it is desirable to provide a method for verifying a courier drop address, which supports batch verification of data. Can acquire the transportation key location and the time information of express delivery company waybill serial number, judge whether final address of properly throwing is correct through address resolution through waybill serial number automatic identification express delivery company to the verification of express delivery waybill authenticity that the realization is right.

In a first aspect, the method for verifying the express delivery address comprises the following steps:

constructing an automatic waybill identification model by combing the coding rule of waybill numbers of express companies;

and acquiring sample data of the waybill number, and finishing the judgment of the express company to which the waybill number belongs by automatically judging the waybill number through the waybill number based on the regular matching rule and the waybill identification model.

In a second aspect, the method for verifying the consignment address of the express mail is applied to the extraction, analysis and verification of the address information in the transportation information of the waybill number, and comprises the following steps:

analyzing the characteristics of express mail address elements, constructing an express mail geographic element dictionary, distributing word weights, supporting local loading of the dictionary, carding the address element arrangement rule and the verification comparison judgment rule in the waybill transportation information, and creating a custom rule base;

the method supports batch express address data loading, data stream conversion and parallel processing;

analyzing the geographical element rule in the address to realize the geographical, time and personnel element analysis rule of each mainstream express company;

loading a corresponding transportation information text according to the order number by an express company identified based on the order number rule;

extracting key distribution network points and administrative division elements from an irregular transportation information text based on Natural Language Processing (NLP) and combined with a TF-IDF weight analysis method;

based on the geographical library of the express delivery network points, traversing and comparing the delivery network points extracted from the appropriate delivery addresses with the express delivery network points, and if the delivery network points are not found, continuing the subsequent comparison operation of other rules;

traversing and comparing the geographic elements extracted from the land-based administrative division library with the municipal administrative division, if the geographic elements are not found, taking the next geographic element to repeat the operation, and if the administrative division elements are not matched, continuing the subsequent comparison operation of other rules;

based on a user-defined rule base, extracting distribution node data in waybill transportation information, extracting all geographic elements in distribution nodes according to a geographic element dictionary, performing one-to-one traversal comparison with the geographic elements extracted from the appropriate addresses, and outputting a matching result if the geographic elements are failed to be matched;

performing secondary extraction on the transportation information text based on the regular expression, specifically analyzing the transportation information text according to a custom analysis rule, extracting site, time, personnel and operation elements, aggregating time and site elements, time, personnel and operation elements, and sequencing the site, the personnel and the operation elements according to the time;

and comparing and cross-comparing the sites, time, personnel and operation elements extracted twice based on a custom rule base, judging whether the sites and the operations are ordered or missing, and carrying out risk rating and outputting according to the comparison result of the appropriate addresses and the elements.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

FIG. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;

FIG. 2 is a basic flowchart of a method for verifying a courier drop address according to the present invention;

fig. 3 is a schematic flow chart illustrating automatic identification of waybill numbers in an implementation method for checking a courier consignment address according to the embodiment of the present invention;

fig. 4 is a schematic flow chart illustrating the process of address information extraction, analysis, and verification judgment in the implementation method of the express delivery address verification provided in the present invention;

FIG. 5 is a schematic flow chart of secondary extraction, cross-comparison, and final risk output;

fig. 6 is a schematic diagram of a web-side address verification result interface according to an embodiment of the present disclosure;

fig. 7 is a schematic diagram of a web-side address verification analysis detail interface according to an embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

For convenience of understanding and explanation, a method for implementing the express mail drop address check provided by the embodiment of the present application is described in detail below with reference to fig. 1 to 7.

Referring to fig. 1, a system architecture diagram of a method for verifying a courier drop-in address according to an embodiment of the present disclosure is shown, where the system architecture applicable to an embodiment of the present disclosure includes a user side S101, an import module S102, an identification module S103, an extraction module S104, a verification module S105, a display module S106, and a push module S107.

The user end S101 is connected with the import module S102, and the verified information is displayed to the user end by the display module S106; after data enters the system from the user side S101, the data is gradually subjected to circulation verification from the import module S102 to the identification module S103, the extraction module S104, the verification module S105, the display module S106 and the push module S107, and parallel processing of the data is supported, so that the processing efficiency is improved.

Please refer to fig. 2, which is a basic flowchart illustrating a method for verifying a mailing destination address according to an embodiment of the present application, including the following steps:

s201, acquiring sample data of the waybill number. It should be noted that the sample data of the waybill number at least includes the waybill number, the name of the logistics company and the address information of the receiver, and the waybill number and the logistics company are used for checking the express company to which the waybill number sample belongs;

and S202, judging the express company to which the waybill number sample belongs. The method is mainly characterized in that automatic judgment of express companies to which waybill numbers belong is completed based on regular matching rules and waybill identification models;

and S203, extracting, analyzing and checking the appropriate address. Extracting addresses in a transportation information text by using a geographic element dictionary and assigned word weights, and comparing and checking the extracted address information with the address information of a receiver in sample data by using a user-defined rule base;

and S204, extracting the key information for the second time, comparing the key information with the original information, and outputting a risk rating. The specific operation is that the transportation information text is analyzed according to a self-defined analysis rule, the site, time, personnel and operation elements are extracted, and the extracted elements are sorted according to time; and then, carrying out comparison and cross comparison on the extracted elements, judging whether the places and the operations are ordered and missing, and outputting risk ratings according to the appropriate addresses and the element comparison results.

Based on the basic flow diagram of fig. 2, S201 and S202 are explained in detail, as shown in fig. 3, including the following steps:

s301, acquiring sample data of the waybill number, and loading the sample data into the express mail drop-in address verification method in batches. The specific operation is that the freight note number data in the batch freight note number sample data is extracted, and when the data volume is large, the data set is split until the data set is split into sub-batches which are properly processed;

s302, identifying waybill coding information. Specifically, the waybill number can comprise characters such as numbers, letters, symbols and the like, and because the waybill coding formats of different express companies are disordered and the character lengths are different, the sub-batches split in the S301 are processed in parallel to identify the waybill number information;

s303, dividing the coded information by using a regular matching rule. Splitting and standardizing the waybill number to be judged, splitting the key identification information of the waybill number by using a regular matching rule to extract key identification elements of the waybill number, and standardizing the extracted key identification elements of the waybill number;

and S304, matching the divided waybill number by using the waybill identification model, and outputting information of the express company to which the waybill number belongs. Specifically, an automatic waybill identification model is constructed on the basis of combing waybill number coding rules of express companies; and acquiring standardized waybill number sample data, associating the standardized waybill number sample data with an express company entity to which the waybill belongs in the waybill automatic identification model based on a regular matching rule, and finishing the judgment of automatically judging the express company to which the waybill number belongs through the waybill number.

Based on the basic flow diagram of fig. 2, S203 is explained in detail, as shown in fig. 4, including the following steps:

s401, loading the corresponding transportation information text according to the single number, and loading in batches. The specific operation is that the corresponding transportation information text is loaded on the waybill number of the express company which is successfully identified through the flow of the figure 3;

s402, extracting key distribution network points and administrative zone elements in the transportation information text. Firstly, administrative division elements have the characteristics of stability and normalization, and distribution nodes are mainly composed of address element names of towns, roads, buildings and the like in administrative divisions, so that key distribution nodes and administrative division elements are kept stable in a certain period. By combing the characteristics and rules of the elements, corresponding text analysis rules can be worked out, key address elements can be preliminarily extracted by using a Natural Language Processing (NLP) method, and more accurate key distribution points and administrative division elements can be obtained by combining a TF-IDF weight method;

and S403 and S404, performing national administrative division library comparison on the extracted administrative division elements, and performing express delivery site geographic library comparison on the extracted key delivery sites. Based on a national administrative division library and an express delivery network geographical library, traversing and comparing the administrative division elements extracted in the step S402 with urban administrative divisions by means of a reverse maximum matching algorithm, traversing and comparing the key distribution network points extracted in the step S402 with express delivery networks, and if the key distribution network points cannot be found, taking the next geographical element to repeat the operation until all the extracted identifiable elements are identified;

and S405, extracting the distribution node data in the transportation information text. Based on a user-defined rule base, establishing a rule method by inducing the characteristic words so as to extract distribution node data in the transportation information;

s406, 407 and S408, extracting all the geographic elements of the nodes in the S405, comparing all the extracted elements with the geographic elements of the waybill targets, and outputting a verification result. And extracting all the geographic elements in the distribution nodes based on a regular matching rule according to the geographic element dictionary, performing one-to-one traversal comparison on the geographic elements extracted from the proper addresses, and outputting a matching result if the geographic elements are failed to be matched.

Based on the basic flow diagram of fig. 2, S204 is explained in detail, as shown in fig. 5, including the following steps:

and S501, carrying out secondary extraction on the transportation information text. Carrying out secondary extraction on the transportation information text loaded in the S401 according to the custom analysis rule based on the regular expression, and analyzing and extracting the place, time, personnel and operation elements;

and S502 and S503, outputting the place, time, personnel and operation elements in the transportation text information, and sequencing the extracted elements according to time. The method mainly comprises the steps of aggregating time and place elements, time, personnel and operation elements, and sequencing the time, the place, the personnel and the operation elements;

and S504 and S505, performing cross comparison on the elements, judging whether the elements are missing or not, and finally outputting a risk rating result. And comparing and cross-comparing the sites, time, personnel and operation elements extracted in the step S501 for the second time based on a user-defined rule base, judging whether the sites and the operations are ordered and missing, and carrying out risk rating and outputting according to the comparison result of the appropriate addresses and the elements.

It should be noted that, for the descriptions of the same steps and the same contents in this embodiment as those in other embodiments, reference may be made to the descriptions in other embodiments, which are not described herein again.

For example, please refer to fig. 6 and 7, which are schematic diagrams of an interface for analyzing a result of web address verification and a schematic diagram of an interface for analyzing details of web address verification provided by an example of the present application.

As shown in fig. 6, a web-side address verification analysis result display interface supports four functions of data import, verification result query, verification result display, and verification data export. The check result inquiry supports various inquiry modes, and specifically supports inquiry according to modes such as batch number, waybill number, original waybill express company, checked express company, logistics information, waybill state, proper delivery address, risk level and the like.

As shown in fig. 7, a web-side address verification analysis detail interface displays specific transaction results of a single waybill, and mainly includes a display after extracting and analyzing information such as transportation key addresses, logistics nodes, time and the like, and a display of specific express delivery address verification results.

It should be noted that although several modules or units of an embodiment of a method for implementing a courier commit check are mentioned in the above detailed description, such partitioning is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims

1. A method for realizing express mail drop-in address verification is applied to express mail drop-in address verification and is characterized by comprising the following steps:

acquiring express mail receiving address data imported by a user at terminal equipment;

identifying express item numbers and express recipient address texts in user import data;

identifying the express company according to the express single number rule;

acquiring corresponding express item details according to the express item number;

extracting administrative partitions and other address elements in the express mail receiving address text;

extracting distribution network points, administrative divisions and other address, time, personnel and operation elements in express details;

cross checking of each element in the express mail receiving address text and the express mail detail text, and checking of the orderliness and the deletion of each element;

the risk rating of the verification result of the properly-delivered address in the express mail receiving address and the details is realized;

and sending all the checking, rating and sorting information to the terminal equipment.

2. The method for implementing the check of the express delivery approval address according to claim 1, wherein the step of identifying the express delivery order number and the express delivery recipient address text in the user import data comprises:

if the information of the express bill number input by the user contains characters, judging that the user imported data is illegal; if the data is legal, the data is converted and temporarily stored in the memory of the service equipment;

if the address information of the express mail receiving input by the user is pure numbers or letters, judging that the data imported by the user is illegal; and if the data is legal, converting the data and temporarily storing the data in the memory of the service equipment.

3. The method for verifying the delivery destination of the express mail according to claim 1, further comprising:

receiving a checking instruction sent by the terminal equipment;

converting user import data into a data stream and sending the data stream to a verification module;

and visually displaying the verification result of the express receiving address to a user.

4. The method for verifying the delivery destination of the express mail according to claim 1, wherein the method comprises:

aiming at the single numbers of different express companies, the express company of the single number is automatically identified, and the express company code is output.

5. The method for verifying the delivery destination of the express mail according to claim 1, wherein the method comprises:

identifying and extracting administrative partitions and other address elements in express mail receiving address texts based on NLP and custom rules;

and (4) identifying and extracting distribution network points, administrative divisions and other addresses, personnel and operation elements in express detail texts based on NLP and custom rules.

6. The method for verifying the delivery destination of the express mail according to claim 1, wherein the method comprises:

the verification of distribution network points, administrative divisions and other address elements in the express mail receiving address and the details is realized;

the order and the deficiency of the address, the personnel and the operation elements in the express detail are verified;

and sequencing addresses, personnel and operation elements in express details.

7. The method for verifying the delivery destination of the express mail according to claim 1, wherein the method comprises:

and the terminal receives and displays the verification state of the express receiving address and the real-time pushing of the result to the user.

8. A method for realizing express mail drop-in address check is applied to terminal equipment and is characterized in that the method comprises the following steps:

acquiring a verification result which is sent by the verification module and is consistent with the express bill number of the user imported data;

acquiring express detail addresses, personnel and operation element sequencing results which are sent by the verification module and are consistent with the express bill number of the user import data;

and carrying out risk rating on the verification result.

9. The method for verifying the courier drop address according to claim 8, wherein the obtaining of the element sorting result comprises:

aggregating addresses and time elements to form address nodes, and aggregating personnel, operation and time elements to form personnel operation nodes;

sequencing the address nodes and the personnel operation nodes according to the time elements;

and acquiring the ordered node sets and displaying the node sets in the terminal in sequence.

10. The method of claim 8, wherein the verification result risk rating comprises:

carrying out grade classification on the verification results, wherein each grade classification comprises the verification results which are not repeated;

the grades are displayed horizontally or vertically on the screen, and different grades are distinguished by different colors.

11. A method for realizing express mail drop-in address check is characterized in that the device comprises:

the import module is used for importing the data file of the user into the verification platform;

the identification module identifies the express company to which the express belongs according to the single number rule;

the extraction module is used for extracting administrative divisions and other address elements in the express mail receiving address text according to the extraction rules and extracting express delivery network points, administrative divisions and other address, personnel, operation and time elements in the express mail detail text;

the verification module is used for performing cross verification on each element in the express mail receiving address and the details and verifying the order and the deficiency of the address, personnel, operation and time elements;

the pushing module is used for verifying the pushing of each data state and result of the project to the terminal;

and the display module is used for displaying the verification result of the express mail transfer address.