CN114912873A

CN114912873A - Dispatch stagnation exception prompting method, device, equipment and storage medium

Info

Publication number: CN114912873A
Application number: CN202210538125.4A
Authority: CN
Inventors: 刘超
Original assignee: Dongpu Software Co Ltd
Current assignee: Dongpu Software Co Ltd
Priority date: 2022-05-18
Filing date: 2022-05-18
Publication date: 2022-08-16

Abstract

The invention relates to the technical field of logistics monitoring and discloses a method, a device, equipment and a storage medium for prompting dispatch stagnation abnormity. The method comprises the following steps: analyzing express delivery data of an express delivery network, and judging that the express delivery network is abnormal according to whether distributed target logistics data which are not signed for exist in the express delivery data or not; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting delivery prompt information to a delivery network point at the tail end. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

Description

Dispatch stagnation exception prompting method, device, equipment and storage medium

Technical Field

The invention relates to the technical field of logistics monitoring, in particular to a method, a device, equipment and a storage medium for prompting dispatch stagnation abnormity.

Background

With the increase of the number of businesses, the service requirement for the express logistics industry is also improved, which is a great challenge for each enterprise in the express logistics industry. At present, a large number of abnormal or pause network points have the problem of large backlog quantity of express mails: on one hand, the influence of indispensable force such as weather disasters or address disasters can be caused, and on the other hand, the situation that network management personnel are in poor operation and lack of hands can also be caused, so that express mails cannot be normally dispatched.

Among these backlogged couriers, there are many customer complaints, express couriers, and the like. If the express is not delivered in time, the customer service capacity of the network is reduced, the complaint rate is increased, and the public praise and economic benefit of express logistics enterprises are further damaged.

Disclosure of Invention

The method and the device mainly aim to identify the logistics data to obtain the abnormal express, and perform targeted delivery prompt service according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

The invention provides a dispatch stagnation exception prompting method in a first aspect, which comprises the following steps: acquiring express delivery data of at least one historical delivery period in an express delivery network; analyzing the express delivery data, and judging whether target logistics data which are distributed but not signed in exist in the express delivery data according to an analysis result; if the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of corresponding express in the target logistics data; determining an express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is an abnormal express in stagnation; extracting express item data corresponding to the stopped abnormal express items, and analyzing the express item data to obtain actual distribution data of the abnormal express items; and determining a terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to a judgment result.

Optionally, in a first implementation manner of the first aspect of the present invention, the analyzing the express delivery data, and determining whether there is target logistics data that has been distributed but has not signed for in the express delivery data, where the analyzing includes: acquiring a delivery network point from a preset delivery address set according to the express item number in the express delivery data; determining distribution planning data of the express in the express delivery network according to the delivery network and the address data of the mail; acquiring actual distribution data of the express, and analyzing the distribution planning data and the actual distribution data to obtain an analysis result; and judging whether distributed target logistics data which are not signed in exist in the express delivery data or not according to the analysis result, wherein the analysis result comprises distributed logistics data which are signed in, non-distributed logistics data which are not signed in and distributed logistics data which are not signed in.

Optionally, in a second implementation manner of the first aspect of the present invention, the determining, according to the delivery site and the mailing address data, delivery planning data of the express mails in the express delivery site includes: determining a transfer distribution network point of the express in the express delivery network point from preset distribution network points based on the mail address data; generating a distribution route based on the delivery network points and the transfer network points; and obtaining distribution planning data according to the distribution route, the mail sending address data and the delivery network points.

Optionally, in a third implementation manner of the first aspect of the present invention, the express data corresponding to the abnormal express includes delivery address data and order data of the abnormal express, and the extracting the express data corresponding to the abnormal express that is in a stagnation state, and analyzing the express data to obtain the actual delivery data of the abnormal express includes: extracting receiving address data and order data contained in express mail data corresponding to the abnormal express mail, and determining target distribution data of the abnormal express mail based on the receiving address data and the order data; and analyzing the abnormal express based on the target distribution data to obtain the actual distribution data of the abnormal express.

Optionally, in a fourth implementation manner of the first aspect of the present invention, the extracting shipping address data and order data included in the express data corresponding to the abnormal express, and determining target delivery data of the abnormal express based on the shipping address data and the order data includes: extracting the receiving address data of the abnormal express from the express data corresponding to the abnormal express, and determining the receiving network point and the initial distribution direction of the abnormal express based on the receiving address data of the abnormal express; determining at least one transfer network point corresponding to the abnormal express according to the receiving network point and the initial distribution direction; calculating the path length between the transit network point and the receiving network point, and sequencing the path length to generate a distribution route; and determining the type of the abnormal express, and generating target distribution data according to the type of the abnormal express and the distribution route.

Optionally, in a fifth implementation manner of the first aspect of the present invention, before determining the tail-end delivery site corresponding to the abnormal express, determining whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting a delivery prompt message to the tail-end delivery site according to a determination result, the method further includes: judging whether a terminal delivery network point corresponding to the abnormal express is consistent with the abnormal network point; and if not, canceling to send the dispatch prompt message to the tail end dispatch network point.

Optionally, in a sixth implementation manner of the first aspect of the present invention, after determining, by the terminal dispatch node corresponding to the abnormal express, whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting, according to a determination result, a dispatch prompt message to the terminal dispatch node, the method further includes: acquiring a delivery demand corresponding to the abnormal express, and associating the delivery demand with an express order number of the abnormal express; and acquiring the information of the delivery person corresponding to the express order number, and prompting the delivery requirement corresponding to the abnormal express to the delivery person.

The second aspect of the present invention provides a dispatch stall exception prompting apparatus, including: the system comprises an acquisition module, a sending module and a sending module, wherein the acquisition module is used for acquiring express delivery data of at least one historical delivery cycle in an express delivery network; the first judgment module is used for analyzing the express delivery data and judging whether target logistics data which are distributed but not signed for exist in the express delivery data according to an analysis result; the identification module is used for determining the express delivery network points as abnormal network points if the express delivery network points exist, and performing stagnation abnormality identification on the target logistics data to obtain abnormal state data of corresponding express in the target logistics data; the determining module is used for determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express; the analysis module is used for extracting express data corresponding to the abnormal express in stagnation and analyzing the express data to obtain actual delivery data of the abnormal express; and the output module is used for determining the tail end delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the tail end delivery network point according to a judgment result.

Optionally, in a first implementation manner of the second aspect of the present invention, the first determining module includes: the acquisition unit is used for acquiring delivery network points from a preset delivery address set according to the express item numbers in the express delivery data; the determining unit is used for determining distribution planning data of the express in the express delivery network according to the delivery network and the address data of the mail; the analysis unit is used for acquiring actual distribution data of the express, analyzing the distribution planning data and the actual distribution data and obtaining an analysis result; and the judging unit is used for judging whether distributed and non-signed target logistics data exists in the express delivery data according to the analysis result, wherein the analysis result comprises distributed and signed logistics data, non-distributed and non-signed logistics data and distributed and non-signed logistics data.

Optionally, in a second implementation manner of the second aspect of the present invention, the determining unit is specifically configured to: determining a transfer distribution network point of the express in the express delivery network point from preset distribution network points based on the mail address data; generating a distribution route based on the delivery network points and the transfer network points; and obtaining distribution planning data according to the distribution route, the mail sending address data and the delivery network points.

Optionally, in a third implementation manner of the second aspect of the present invention, the parsing module includes: the extracting unit is used for extracting receiving address data and order data contained in express mail data corresponding to the abnormal express mail and determining target delivery data of the abnormal express mail based on the receiving address data and the order data; and the analysis unit is used for analyzing the abnormal express based on the target distribution data to obtain the actual distribution data of the abnormal express.

Optionally, in a fourth implementation manner of the second aspect of the present invention, the extracting unit is specifically configured to: extracting the receiving address data of the abnormal express from the express data corresponding to the abnormal express, and determining a receiving network point and an initial distribution direction of the abnormal express based on the receiving address data of the abnormal express; determining at least one transfer network point corresponding to the abnormal express according to the receiving network point and the initial distribution direction; calculating the path length between the transit network point and the receiving network point, and sequencing the path length to generate a distribution route; and determining the type of the abnormal express, and generating target distribution data according to the type of the abnormal express and the distribution route.

Optionally, in a fifth implementation manner of the second aspect of the present invention, the dispatch stall exception prompting apparatus further includes: the second judgment module is used for judging whether the terminal delivery network point corresponding to the abnormal express is consistent with the abnormal network point; and the canceling module is used for canceling sending the delivery prompt information to the tail end delivery network point if the delivery prompt information is inconsistent.

Optionally, in a sixth implementation manner of the second aspect of the present invention, the dispatch stall exception prompting apparatus further includes: the association module is used for acquiring the delivery requirement corresponding to the abnormal express and associating the delivery requirement with the express order number of the abnormal express; and the prompting module is used for acquiring the information of the delivery person corresponding to the express order number and prompting the delivery demand corresponding to the abnormal express to the delivery person.

A third aspect of the present invention provides a dispatch stall exception prompting apparatus, including: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line;

the at least one processor invokes the instructions in the memory to cause the dispatch stall exception prompting apparatus to perform the steps of the dispatch stall exception prompting method described above.

A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the above-described dispatch stall exception prompting method.

In the technical scheme provided by the invention, the express delivery data of the express delivery network is analyzed, and the express delivery network is judged to be abnormal according to whether the target logistics data which are distributed but not signed for exists in the express delivery data; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting delivery prompt information to a delivery network point at the tail end. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

Drawings

FIG. 1 is a diagram of a first embodiment of a method for prompting a dispatch stall exception according to the present invention;

FIG. 2 is a diagram of a second embodiment of a method for prompting a dispatch stall exception according to the present invention;

FIG. 3 is a diagram illustrating a method for prompting a dispatch stall exception according to a third embodiment of the present invention;

FIG. 4 is a diagram illustrating a fourth embodiment of a method for prompting a dispatch stall exception according to the present invention;

FIG. 5 is a diagram of a fifth embodiment of a method for prompting a dispatch stall exception according to the present invention;

FIG. 6 is a diagram of a first embodiment of a dispatch stall exception prompt apparatus according to the present invention;

FIG. 7 is a diagram of a second embodiment of a dispatch stall exception prompt apparatus according to the present invention;

FIG. 8 is a diagram of an embodiment of a dispatch stall exception prompt apparatus according to the present invention.

Detailed Description

The embodiment of the invention provides a method, a device, equipment and a storage medium for prompting delivery stagnation abnormity, wherein in the technical scheme of the invention, express delivery data of an express delivery network are analyzed, and the express delivery network is judged to be abnormal according to whether target logistics data which are distributed but not signed for exists in the express delivery data; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting delivery prompt information to a delivery network point at the tail end. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Moreover, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

To facilitate understanding, a detailed flow of an embodiment of the present invention is described below, and referring to fig. 1, a first embodiment of a method for prompting a dispatch stall exception according to an embodiment of the present invention includes:

101. acquiring express delivery data of at least one historical delivery cycle in an express delivery network;

in this embodiment, express delivery data of at least one historical delivery cycle of an express delivery site is obtained. It can be understood that in the process of monitoring the whole flow of express logistics, express delivery data of at least one historical delivery cycle of each express delivery site can be obtained by collecting logistics information of express deliveries and classifying the logistics information according to the passed express delivery sites.

Further, according to express delivery data of at least one historical delivery cycle, the express delivery network is judged to be an abnormal network under the condition that express delivery does not normally receive and deliver. It can be understood that the case that the express is not normally collected and dispatched includes a case that a large number of the express at the current express site cannot be normally collected, normally transferred or normally dispatched. When the system monitors that a certain express delivery network point has the large number of abnormal express delivery receiving and sending conditions, the system indicates that the express delivery network point has the abnormal conditions.

102. Analyzing the express delivery data, and judging whether target logistics data which are distributed but not signed for exist in the express delivery data according to an analysis result;

in this embodiment, the express delivery data of at least one historical delivery cycle is analyzed, and whether distributed target logistics data which are not signed in exists in the express delivery data is judged according to the analysis result. Specifically, the express delivery network point is judged to be an abnormal network point under the condition that express delivery does not normally receive and dispatch. It can be understood that the case that the express is not normally collected and dispatched includes a case that a large number of the express at the current express site cannot be normally collected, normally transferred or normally dispatched. When the system monitors that a certain express delivery network point has the large number of abnormal express delivery receiving and sending conditions, the system indicates that the express delivery network point has the abnormal conditions.

103. If the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of the corresponding express in the target logistics data;

in this embodiment, the server obtains the dispatch node from the address aggregation big data according to the waybill number, and the dispatch node is the tail end dispatch node. If the delivery network point of the express is possibly an abnormal network point, the abnormal network point is defined as a problem network point which can not be delivered, the server acquires the reason why the abnormal network point can not be delivered, and then transmits the data of the express to the interception system, the interception system can firstly acquire the information of the order number, the label and the like of the express, and then detects the delivery network point to obtain a detection result, if the abnormality is detected, the abnormality of the delivery network point is determined, and if the abnormality is not detected, the abnormality of the delivery network point is determined as the detection result. As shown in table 1 below, for example, there is one express a in an express delivery site, and it is determined whether the express a has been distributed according to express data of the express a, where the distribution includes an unsigned ticket that the site distributes to a salesperson and distributes to a branch/service department and then distributes to the salesperson. If the courier a has already been distributed, it is further determined whether the courier a is distributed to a designated attendant (courier). And if the express A is distributed to a designated salesperson and is not signed in, judging whether the express A is signed in within the counting date. If not, judging the current distance and the distributed time length. If the express delivery A is already distributed to a waiter and is not signed for in 24-48 hours (for example, the signing-distribution time is more than 48 hours, and the 12-24 hours and the 24-48 hours are counted), the express delivery A is determined to be an abnormal express delivery. Further, it is determined that an express delivery network point where the express delivery A is located is abnormal. And performing stagnation abnormity identification on the target logistics data of the express A to obtain abnormal state data of the corresponding express in the target logistics data.

TABLE 1

And acquiring abnormal state data of the corresponding express in the target logistics data, and determining the express to be processed according to the abnormal state data. Specifically, the abnormal state information includes an abnormal state duration period of the abnormal mesh point. Specifically, the abnormal state information corresponding to the abnormal node may further include flag information of the abnormal node and an abnormal reason of the abnormal node.

In this embodiment, in the abnormal state information that may be related to, the mark information of the abnormal node may include a node name and a node code corresponding to the abnormal node, and is used to perform a corresponding identification on the abnormal node and to facilitate management and search of the abnormal node condition. In addition, the abnormal reason of the abnormal site can be edited and remarked by an administrator of the abnormal site monitoring system, so that the abnormal state of the abnormal site can be briefly described.

104. Determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express;

in this embodiment, the to-be-processed express is determined according to the abnormal state data, whether the to-be-processed express is in a distributed but not dispatched state is determined according to the express data of the to-be-processed express, and if yes, the to-be-processed express is marked as an abnormal express in a stagnation state. It can be understood that express to-be-delivered express items arriving at the current express delivery site within a certain past time period are often stored in the express delivery site, and once the express delivery site becomes an abnormal site, the to-be-delivered express items are in a state of being incapable of being normally delivered and need to be listed as abnormal express items.

In this embodiment, for an abnormal website, in an abnormal state duration period, a case where delivery delay may exist in all express items associated with the abnormal website needs to be subjected to targeted delivery reminding, but considering that the number of all associated express items directly handled as abnormal express items is too large, and all associated express items cannot be distinguished according to the express item types corresponding to the abnormal express items so as to give targeted delivery reminding, all corresponding express items need to be taken as express items to be handled in advance, and screening and sorting are performed according to the express item information.

105. Extracting express item data corresponding to the stopped abnormal express items, and analyzing the express item data to obtain actual distribution data of the abnormal express items;

in this embodiment, express data corresponding to the stagnant abnormal express is extracted, the express data is analyzed, and actual delivery data of the abnormal express is obtained. Specifically, the express is sent out by a distribution network point at a sending place, a distribution vehicle carries the express and distributes the express along a predicted distribution route, the distribution vehicle is provided with an on-board terminal, and the terminal records actual running data of the distribution vehicle, wherein the actual running data comprises but is not limited to sending time, running speed, running route and time of arriving at each distribution network point of the distribution vehicle.

106. And determining the terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to the judgment result.

In this embodiment, the terminal delivery network point corresponding to the abnormal express is determined, whether the actual delivery data is consistent with the target delivery data of the abnormal express is judged, and delivery prompt information is output to the terminal delivery network point according to the judgment result. In a specific application scenario, the to-be-processed express in the normal non-delivery state may include a to-be-processed express which is not signed and a to-be-processed express which is not in the express interception state. The express is still in a logistics link after being signed and confirmed by an addressee or being signed and confirmed by a signing party, and corresponding dispatch reminding needs to be given through subsequent steps. For the to-be-processed express in the express intercepting state, the related express information is recorded into the corresponding intercepting system, and the subsequent execution operation is taken over by the express intercepting system without giving other express delivery reminding.

In the embodiment of the invention, the express delivery data of the express delivery network is analyzed, and the express delivery network is judged to be abnormal according to whether the target logistics data which are distributed but not signed for exists in the express delivery data; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting delivery prompt information to a delivery network point at the tail end. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

Referring to fig. 2, a second embodiment of a method for prompting a dispatch stall exception according to the present invention includes:

201. acquiring express delivery data of at least one historical delivery period in an express delivery network;

202. acquiring a delivery network point from a preset delivery address set according to the express item number in the express delivery data;

in this embodiment, after the user successfully sends the mail, the historical sending data is obtained from the preset database and stored, and the historical sending data includes a name, a telephone number, and a sending and receiving address. The database is specifically used for storing historical delivery data, such as express order numbers, express logistics tracks, express delivery information and other data, and the express data can be from a third-party platform, such as an express delivery collection point, for example, an express cabinet, a courier station and the like, or can be from a logistics company system, such as an order system, a transit system and the like. And the server acquires a delivery network point from the address collection big data according to the freight note number, and the delivery network point is a tail-end delivery network point.

Specifically, the server provides an access code and an invoice number in the query request according to the invoice number in the express mail data, the server verifies the affiliation relationship between the access code and all the request invoice numbers, and the system only returns the invoice routing information with the correct affiliation relationship.

203. Determining distribution planning data of express in an express delivery network according to the delivery network and the address data of the mails;

in the embodiment, the server determines the distribution direction of the to-be-processed express mails based on the mail sending information; the server selects a distribution network point for transferring the to-be-processed express in the distribution process from preset distribution network points according to the distribution network points and the distribution direction to obtain a transfer network point; the server calculates the path lengths of the delivery network points and the transfer network points and generates a delivery route based on the path lengths; the server takes the delivery route, the mail information of the user and the delivery network point as delivery planning data.

Specifically, a logistics company divides a city into several levels of logistics objects (network points, contract areas, distributors), each of which is responsible for a certain geographic area. In the process of express delivery, a typical delivery route is distributed from an end-to-branch center to a network site, distributed to a contract area, and distributed to a small member. The express delivery is subjected to large-scale sorting operation in a terminal transfer center, a network point and a contract area, and different sorting efficiency and accuracy are determined by different sorting methods, so that the service timeliness and cost of the express delivery company are influenced. The server analyzes the distribution levels of the distribution, such as a transit center, a last transit center and a network point. The server selects a distribution network point for transferring the express in the distribution process from preset distribution network points according to the distribution network points and the distribution direction to obtain a transfer network point; the server calculates the path lengths of the delivery network points and the transfer network points and generates a delivery route based on the path lengths; the server takes the delivery route, the mail information of the user and the delivery network point as delivery planning data.

204. Acquiring actual distribution data of the express, and analyzing the distribution planning data and the actual distribution data to obtain an analysis result;

in this embodiment, the actual delivery data of the express is obtained, and the delivery planning data and the actual delivery data are analyzed to obtain an analysis result. The server inquires the actual distribution data of the to-be-processed express from a preset route database; the server inputs the actual distribution data and the distribution planning data into a long-time and short-time memory network in a preset anomaly detection model to carry out anomaly probability operation to obtain an anomaly probability value; the server compares the abnormal probability value with a preset probability threshold value to obtain a detection result; if the target anomaly probability value is greater than or equal to a preset threshold value, the server determines that the detection result is that the delivery network point is abnormal; and if the target anomaly probability value is smaller than a preset threshold value, the server determines that the detection result is that the delivery network point has no anomaly.

205. Judging whether distributed target logistics data which are not signed in exist in the express delivery data or not according to an analysis result, wherein the analysis result comprises distributed logistics data which are signed in, non-distributed logistics data which are not signed in and distributed logistics data which are not signed in;

in this embodiment, it is determined whether the target logistics data that has been distributed but has not been signed in exists in the express delivery data according to the analysis result. Specifically, the server normalizes the data of each dimension in the actual distribution data and the distribution planning data, calculates the mean value and the standard deviation of each dimension, and normalizes the actual distribution data and the distribution planning data. The data normalization processing is beneficial to the initialization of the model, avoids the influence on the updating of the gradient value due to the numerical value deviation problem, and is convenient to use the fixed learning rate to iterate the model, thereby accelerating the convergence speed of the model. The server inputs distribution planning data and actual distribution data into a bidirectional long-time and short-time memory network in a preset anomaly detection model to obtain a prediction vector, then calculates a mean square error according to an actual value y to obtain a target anomaly probability value, and if the target anomaly probability value is greater than or equal to a preset threshold value, the server determines that an analysis result is that a distribution network point is abnormal; and if the target abnormal probability value is smaller than a preset threshold value, the server determines that the analysis result is that no abnormity exists in the delivery network point. The analysis result comprises distributed and signed logistics data, undistributed and not signed logistics data and distributed and not signed logistics data.

206. If the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of the corresponding express in the target logistics data;

207. determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express;

208. extracting express item data corresponding to the abnormal express items in stagnation, and analyzing the express item data to obtain actual delivery data of the abnormal express items;

209. and determining the terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to the judgment result.

Step 204-207 in the present embodiment is similar to step 102-105 in the first embodiment, and will not be described herein again.

In the embodiment of the invention, the express delivery data of the express delivery network are analyzed, and the express delivery network is judged to be abnormal according to whether the distributed target logistics data which are not signed in exist in the express delivery data or not; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting delivery prompt information to a delivery network point at the tail end. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

Referring to fig. 3, a third embodiment of a method for prompting a dispatch stall exception according to the embodiment of the present invention includes:

301. acquiring express delivery data of at least one historical delivery period in an express delivery network;

302. acquiring a delivery network point from a preset delivery address set according to the express item number in the express delivery data;

303. determining a transfer distribution network point of the express in the express network point from preset distribution network points based on the mail address data;

304. Generating a distribution route based on the distribution network points and the transfer distribution network points;

in this embodiment, the distribution route is generated based on the delivery network point and the transit delivery network point. Specifically, a logistics company divides a city into several levels of logistics objects (nodes, contract zones, distributors), each of which is responsible for a certain geographical area. In the process of express delivery, a typical delivery route is distributed from an end-to-branch center to a network site, distributed to a contract area, and distributed to a small member. The express delivery is subjected to large-scale sorting operation in a terminal transfer center, a network point and a contract area, and different sorting efficiency and accuracy are determined by different sorting methods, so that the service timeliness and cost of the express delivery company are influenced. The server analyzes the distribution levels of the distribution, such as a transit center, a last transit center and a network point. The server selects a distribution network point for transferring the express in the distribution process from preset distribution network points according to the distribution network points and the distribution direction to obtain a transfer network point; the server calculates the path lengths of the delivery network points and the transit network points and generates a delivery route based on the path lengths.

305. Obtaining distribution planning data according to the distribution route, the sending address data and the distribution network points;

in this embodiment, the distribution planning data is obtained according to the distribution route, the mailing address data, and the distribution network point. Specifically, the server analyzes the distribution hierarchy of the distribution, such as a transit center, a dead center, and a website. The server selects a distribution network point for transferring the express in the distribution process from preset distribution network points according to the distribution network points and the distribution direction to obtain a transfer network point; the server calculates the path lengths of the delivery network points and the transfer network points and generates a delivery route based on the path lengths; the server takes the delivery route, the mail information of the user and the delivery network point as delivery planning data.

306. Acquiring actual distribution data of the express, and analyzing the distribution planning data and the actual distribution data to obtain an analysis result;

307. judging whether distributed target logistics data which are not signed for exist in the express delivery data or not according to the analysis result;

308. if the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of the corresponding express in the target logistics data;

309. determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express;

310. extracting express item data corresponding to the stopped abnormal express items, and analyzing the express item data to obtain actual distribution data of the abnormal express items;

311. and determining the terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to the judgment result.

Steps 306-.

In the embodiment of the invention, the express delivery data of the express delivery network is analyzed, and the express delivery network is judged to be abnormal according to whether the target logistics data which are distributed but not signed for exists in the express delivery data; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express or not; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting a delivery prompt message to a tail-end delivery network point. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

Referring to fig. 4, a fourth embodiment of a method for prompting a dispatch stall exception according to the embodiment of the present invention includes:

401. acquiring express delivery data of at least one historical delivery period in an express delivery network;

402. analyzing the express delivery data, and judging whether target logistics data which are distributed but not signed for exist in the express delivery data according to an analysis result;

403. if the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of the corresponding express in the target logistics data;

404. determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express;

405. extracting the receiving address data of the abnormal express from the express data corresponding to the abnormal express, and determining the receiving network point and the initial distribution direction of the abnormal express based on the receiving address data of the abnormal express;

in this embodiment, the address data of the abnormal express mail is obtained, and the receiving network point and the initial distribution direction of the abnormal express mail are determined based on the address data of the abnormal express mail. Specifically, when express mails needing to be delivered are received, order information of the express mails is scanned and recorded, and therefore an order recording address of the express mails in the order information is obtained, wherein the order recording address comprises a sending place and a receiving place of the express mails. And determining the delivery direction of the express and the receiving and sending network points corresponding to the order recording address according to the order recording address of the express, wherein the receiving and sending network points comprise an article collecting network point corresponding to a sending place and a signing network point corresponding to a signing place.

406. Determining at least one transfer network point corresponding to the abnormal express according to the receiving network point and the initial distribution direction;

in this embodiment, at least one transit point corresponding to the abnormal express is determined according to the receiving point and the initial distribution direction. Specifically, distribution network points in the same direction as the distribution direction of the express are searched from all distribution network points set by a logistics company, a distribution network point which starts from the delivery place of the express is selected from all distribution network points in the same direction, and finally the distribution network point which has lower distribution cost and shorter total distribution path in the process of delivering to the pick-up place is used as a distribution network point for transferring the express in the distribution process, so that at least one transfer network point is obtained.

407. Calculating the path length between the transit network point and the receiving network point, and sequencing the path length to generate a distribution route;

in this embodiment, the path lengths of all the transfer nodes from the pickup nodes corresponding to the location where the express mail is sent are calculated, the receiving and sending nodes and the transfer nodes are sorted according to the calculation result of the path lengths of the transfer nodes and the length sequence of the path lengths (from short to long), a node sequence is generated, a distribution route is generated based on the node sequence, that is, the pickup nodes corresponding to the sending location are used as the starting points to connect the transfer nodes, and finally the sign-off nodes are connected to form a distribution route. And the delivery route is the optimal delivery route of the express mail.

408. Determining the express item type of the abnormal express item, and generating target distribution data according to the express item type and the distribution route;

in this embodiment, the express type of the abnormal express is determined, and the target delivery data is generated according to the express type and the delivery route. Specifically, when express mails needing to be delivered are received, order information of the express mails is scanned and recorded, and therefore an order recording address of the express mails in the order information is obtained, wherein the order recording address comprises a sending place and a receiving place of the express mails. And predicting the delivery route of the express according to the address information of the sending place and the signing place of the express, calculating delivery data when the express is delivered along the predicted delivery route, and taking the predicted delivery route and the delivery data as delivery planning data of the express.

Specifically, the distribution direction of the express is determined according to the bill recording address of the express, distribution network points in the same direction as the distribution direction of the express are searched from all distribution network points set by the logistics company, the distribution network points with lower distribution cost and shorter total distribution path in the process from the sending place of the express to the final distribution to the pick-up place are selected from all distribution network points in the same direction, and the distribution network points are used as predicted distribution paths of the express. And predicting relevant delivery data when the express is delivered along the delivery route, namely calculating delivery data generated in the delivery process of the express, wherein the delivery data comprises but is not limited to the running time of delivery vehicles of the express in the delivery process, the time of arrival of the express at each delivery site, and the transit time of the express at each delivery site.

409. Analyzing the abnormal express based on the target distribution data to obtain the actual distribution data of the abnormal express;

in this embodiment, the abnormal express is analyzed based on the target delivery data, so as to obtain the actual delivery data of the abnormal express. Specifically, when an express reaches a delivery network point of a transit, the delivery network point records the driving data of a delivery vehicle corresponding to the express, and records operation data of the delivery network point when the express is unloaded, loaded and the like, wherein the operation data includes, but is not limited to, unloading time and loading time. And generating log data of the distribution network point for recording the express according to the recorded running data and operation data of the distribution vehicle. The log data is stored in a database of distribution network points, and each distribution network point where the express is routed generates log data corresponding to the express.

410. And determining the terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to the judgment result.

The steps 401-404 and 410 in this embodiment are similar to the steps 101-104 and 105 in the first embodiment, and are not described herein again.

Referring to fig. 5, a fifth embodiment of a method for prompting a dispatch stall exception according to the present invention includes:

501. acquiring express delivery data of at least one historical delivery period in an express delivery network;

502. analyzing the express delivery data, and judging whether target logistics data which are distributed but not signed for exist in the express delivery data according to an analysis result;

503. if the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of the corresponding express in the target logistics data;

504. determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express;

505. extracting express item data corresponding to the stopped abnormal express items, and analyzing the express item data to obtain actual distribution data of the abnormal express items;

506. judging whether the terminal delivery network point corresponding to the abnormal express is consistent with the abnormal network point;

in this embodiment, whether the terminal delivery site corresponding to the abnormal express is consistent with the abnormal site is determined. When the delivery prompt information is output to the tail end delivery network point, the judgment needs to be carried out: and judging whether the tail end delivery network point is consistent with the abnormal network point maintained by the interception piece system or not or whether the tail end delivery network point is in membership or not, and if the tail end delivery network point is inconsistent with the abnormal network point maintained by the interception piece system or not, not issuing a prompt.

507. If not, canceling sending a piece sending prompt message to a tail end sending network point;

in this embodiment, if the two pieces of information are inconsistent, sending of the delivery prompt information to the tail-end delivery network point is cancelled. Specifically, whether the terminal dispatch node is consistent with or is in the membership relation with the abnormal node maintained by the interceptor system is judged, and if the terminal dispatch node is inconsistent with or not in the membership relation, the dispatch prompt message is not sent.

508. Determining a terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to the judgment result;

509. acquiring a delivery demand corresponding to the abnormal express, and associating the delivery demand with an express order number of the abnormal express;

in this embodiment, the special dispatch requirement corresponding to the abnormal express is obtained, and the special dispatch requirement is associated with the express order number of the abnormal express. Specifically, the user can remark own special requirements in an online mode without finding a waiter or a website service platform for contact, so that the response efficiency can be improved, and the user perception is further improved.

510. And acquiring the dispatcher information of the dispatcher corresponding to the express order number, and prompting the dispatcher requirement corresponding to the abnormal express to the dispatcher.

In this embodiment, the dispatcher information of the dispatcher corresponding to the express order number is acquired, and the dispatcher requirement corresponding to the abnormal express is prompted to the dispatcher. Specifically, the courier is responsible for couriers with special courier requirements within the range, and the couriers are sequentially delivered according to the position of the courier and the delivery address of the courier, so that the couriers can quickly find corresponding couriers.

For example, a user is communicated through a wireless network, and a delivery requirement set by the user is transmitted to an operator in a wireless mode; the automatic acquisition photos of the parcels with special requirements are generated into a list with delivery requirements according to POI (cell; business district and other terminals) so as to be convenient for the service personnel to check. And when the salesman arrives at the POI, the salesman is reminded by voice.

Steps 501-505 and 508 in this embodiment are similar to steps 101-105 and 106 in the first embodiment, and are not described herein again.

In the embodiment of the invention, the express delivery data of the express delivery network is analyzed, and the express delivery network is judged to be abnormal according to whether the target logistics data which are distributed but not signed for exist in the express delivery data; identifying target logistics data to obtain corresponding abnormal state data; determining the express to be processed according to the abnormal state data, and judging whether the express to be processed is an abnormal express; extracting express item data corresponding to the abnormal express items, and analyzing to obtain actual distribution data of the abnormal express items; and judging whether the actual distribution data is consistent with the target distribution data or not, and outputting delivery prompt information to a delivery network point at the tail end. According to the scheme, the abnormal express is obtained by identifying the logistics data, and the targeted delivery prompt service is carried out according to the type and different delivery states of the abnormal express, so that the delivery timeliness is guaranteed.

With reference to fig. 6, the method for prompting a dispatch stall exception in an embodiment of the present invention is described above, and a dispatch stall exception prompting apparatus in an embodiment of the present invention is described below, where a first embodiment of the dispatch stall exception prompting apparatus in an embodiment of the present invention includes:

the obtaining module 601 is configured to obtain express delivery data of at least one historical delivery cycle in an express delivery network;

a first determining module 602, configured to analyze the express delivery data, and determine whether target logistics data that has been distributed but has not been signed in exists in the express delivery data according to an analysis result;

the identification module 603 is configured to determine that the express delivery network is an abnormal network if the express delivery network exists, and perform stagnation abnormality identification on the target logistics data to obtain abnormal state data of a corresponding express in the target logistics data;

a determining module 604, configured to determine an express to be processed according to the abnormal state data, and determine whether the express to be processed is in a normal non-dispatching state according to the abnormal state data, and if so, determine that the express to be processed is an abnormal express in a stagnation;

the analysis module 605 is configured to extract express item data corresponding to the stagnant abnormal express item, and analyze the express item data to obtain actual delivery data of the abnormal express item;

an output module 606, configured to determine a terminal dispatch network point corresponding to the abnormal express, determine whether the actual delivery data is consistent with the target delivery data of the abnormal express, and output a dispatch prompt message to the terminal dispatch network point according to a determination result.

Referring to fig. 7, a second embodiment of a dispatch stall exception notification apparatus according to the present invention includes:

a first determining module 602, configured to analyze the express delivery data, and determine, according to an analysis result, whether distributed target logistics data that is not signed for receipt exists in the express delivery data;

a determining module 604, configured to determine an express to be processed according to the abnormal state data, and determine whether the express to be processed is in a normal unpicked state according to the abnormal state data, if so, determine that the express to be processed is an abnormal express in a stagnation state;

In this embodiment, the first determining module 602 includes:

an obtaining unit 6021, configured to obtain a delivery site from a preset delivery address set according to a express order number in the express delivery data;

a determining unit 6022, configured to determine distribution planning data of the express in the express delivery site according to the delivery site and the address data of the mail;

an analysis unit 6023, configured to obtain actual distribution data of the express mail, and analyze the distribution planning data and the actual distribution data to obtain an analysis result;

a determining unit 6024, configured to determine whether there is distributed and non-signed target logistics data in the express dispatch data according to the analysis result, where the analysis result includes distributed and signed logistics data, non-distributed and non-signed logistics data, and distributed and non-signed logistics data.

In this embodiment, the determining unit 6022 is specifically configured to:

determining a transfer distribution network point of the express in the express delivery network point from preset distribution network points based on the mail address data;

generating a distribution route based on the delivery network points and the transfer network points;

and obtaining distribution planning data according to the distribution route, the mail sending address data and the delivery network points.

In this embodiment, the parsing module 605 includes:

an extracting unit 6051, configured to extract delivery address data and order data included in express data corresponding to the abnormal express, and determine target delivery data of the abnormal express based on the delivery address data and the order data;

an analyzing unit 6052, configured to analyze the abnormal express based on the target delivery data, so as to obtain actual delivery data of the abnormal express.

In this embodiment, the extracting unit 6051 is specifically configured to:

extracting the receiving address data of the abnormal express from the express data corresponding to the abnormal express, and determining the receiving network point and the initial distribution direction of the abnormal express based on the receiving address data of the abnormal express;

determining at least one transfer network point corresponding to the abnormal express according to the delivery network point and the initial distribution direction;

calculating the path length between the transit network point and the receiving network point, and sequencing the path length to generate a distribution route;

and determining the type of the abnormal express, and generating target distribution data according to the type of the abnormal express and the distribution route.

In this embodiment, the dispatch stagnation exception prompt apparatus further includes:

a second judgment module 607, configured to judge whether a terminal delivery node corresponding to the abnormal express is consistent with the abnormal node;

a canceling module 608, configured to cancel sending the dispatch prompt message to the end dispatch node if the two are inconsistent.

the associating module 609 is configured to obtain a dispatch requirement corresponding to the abnormal express, and associate the dispatch requirement with an express order number of the abnormal express;

and the prompting module 610 is used for acquiring the dispatcher information of the dispatcher corresponding to the express order number and prompting the dispatcher demand corresponding to the abnormal express.

The above fig. 6 and fig. 7 describe in detail the dispatch stall exception prompting apparatus in the embodiment of the present invention from the perspective of the modular functional entity, and the following describes in detail the dispatch stall exception prompting device in the embodiment of the present invention from the perspective of hardware processing.

Fig. 8 is a schematic structural diagram of a dispatch stall exception prompting apparatus 800 according to an embodiment of the present invention, where the dispatch stall exception prompting apparatus 800 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 810 (e.g., one or more processors) and a memory 820, and one or more storage media 830 (e.g., one or more mass storage devices) for storing an application 833 or data 832. Memory 820 and storage medium 830 may be, among other things, transient or persistent storage. The program stored in storage medium 830 may include one or more modules (not shown), each of which may include a sequence of instruction operations in the dispatch stall exception prompting device 800. Still further, the processor 810 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the dispatch stall exception prompting device 800 to implement the steps of the dispatch stall exception prompting method provided by the method embodiments described above.

The pi stall exception prompting apparatus 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input-output interfaces 860, and/or one or more operating systems 831, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the configuration of the dispatch stall exception prompting device illustrated in FIG. 8 does not constitute a limitation of the dispatch stall exception prompting device provided herein, and may include more or fewer components than illustrated, or some components in combination, or a different arrangement of components.

The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and may also be a volatile computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed on a computer, the instructions cause the computer to execute the steps of the dispatch stagnation exception prompting method.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A dispatch stall exception prompting method, comprising:

acquiring express delivery data of at least one historical delivery period in an express delivery network;

analyzing the express delivery data, and judging whether target logistics data which are distributed but not signed in exist in the express delivery data according to an analysis result;

if the express delivery network node exists, determining that the express delivery network node is an abnormal network node, and performing stagnation abnormity identification on the target logistics data to obtain abnormal state data of corresponding express in the target logistics data;

determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal unpicked state or not according to the abnormal state data, and if so, determining that the express to be processed is in a stagnant abnormal express;

extracting express item data corresponding to the stopped abnormal express items, and analyzing the express item data to obtain actual distribution data of the abnormal express items;

and determining a terminal delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the terminal delivery network point according to a judgment result.

2. The dispatch stagnation exception prompting method according to claim 1, wherein the dispatch data includes a dispatch order number and a dispatch address data, the analyzing the dispatch data, and determining whether there is target logistics data which has been distributed but not signed for in the dispatch data according to the analysis result comprises:

acquiring a delivery network point from a preset delivery address set according to the express item number in the express delivery data;

determining distribution planning data of the express in the express delivery network according to the delivery network and the address data of the mail;

acquiring actual distribution data of the express, and analyzing the distribution planning data and the actual distribution data to obtain an analysis result;

and judging whether distributed and non-signed target logistics data exists in the express delivery data according to the analysis result, wherein the analysis result comprises distributed and signed logistics data, non-distributed and non-signed logistics data and distributed and non-signed logistics data.

3. The dispatch stagnation exception prompting method of claim 2, wherein the determining delivery planning data for the express delivery in the express delivery site according to the delivery site and the dispatch address data comprises:

4. The dispatch stagnation exception prompting method according to any one of claims 1 to 3, wherein the express data corresponding to the abnormal express includes delivery address data and order data of the abnormal express, the extracting the express data corresponding to the abnormal express in the stagnation, and analyzing the express data to obtain the actual delivery data of the abnormal express includes:

extracting receiving address data and order data contained in express mail data corresponding to the abnormal express mail, and determining target distribution data of the abnormal express mail based on the receiving address data and the order data;

and analyzing the abnormal express based on the target distribution data to obtain the actual distribution data of the abnormal express.

5. The dispatch stagnation exception prompting method of claim 4, wherein the extracting of the delivery address data and the order data included in the dispatch data corresponding to the abnormal dispatch and determining the target delivery data of the abnormal dispatch based on the delivery address data and the order data comprises:

extracting the receiving address data of the abnormal express from the express data corresponding to the abnormal express, and determining a receiving network point and an initial distribution direction of the abnormal express based on the receiving address data of the abnormal express;

determining at least one transfer network point corresponding to the abnormal express according to the receiving network point and the initial distribution direction;

6. The dispatch stagnation exception prompting method according to claim 1, before the determining a terminal dispatch node corresponding to the abnormal express, determining whether the actual delivery data is consistent with target delivery data of the abnormal express, and outputting dispatch prompting information to the terminal dispatch node according to a determination result, further comprising:

judging whether a terminal delivery network point corresponding to the abnormal express is consistent with the abnormal network point;

and if not, canceling to send the dispatch prompt message to the tail end dispatch network point.

7. The dispatch stagnation exception prompting method according to claim 1, wherein after determining, according to the determination result, that the terminal dispatch node corresponding to the abnormal dispatch, whether the actual delivery data is consistent with the target delivery data of the abnormal dispatch, and outputting, according to the determination result, a dispatch prompt message to the terminal dispatch node, the method further comprises:

acquiring a delivery demand corresponding to the abnormal express, and associating the delivery demand with an express order number of the abnormal express;

and acquiring the delivery person information of a delivery person corresponding to the express bill number, and prompting the delivery person of the delivery demand corresponding to the abnormal express.

8. A dispatch stall exception prompting device, the dispatch stall exception prompting device comprising:

the system comprises an acquisition module, a sending module and a sending module, wherein the acquisition module is used for acquiring express delivery data of at least one historical delivery cycle in an express delivery network;

the first judgment module is used for analyzing the express delivery data and judging whether distributed target logistics data which are not signed in exist in the express delivery data or not according to an analysis result;

the identification module is used for determining the express delivery network points as abnormal network points if the express delivery network points exist, and performing stagnation abnormality identification on the target logistics data to obtain abnormal state data of corresponding express in the target logistics data;

the determining module is used for determining the express to be processed according to the abnormal state data, judging whether the express to be processed is in a normal non-dispatching state or not according to the abnormal state data, and if so, determining that the express to be processed is an abnormal express in stagnation;

the analysis module is used for extracting express item data corresponding to the stopped abnormal express items and analyzing the express item data to obtain actual distribution data of the abnormal express items;

and the output module is used for determining the tail end delivery network point corresponding to the abnormal express, judging whether the actual delivery data is consistent with the target delivery data of the abnormal express, and outputting delivery prompt information to the tail end delivery network point according to a judgment result.

9. A dispatch stall exception prompting device, comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line;

the at least one processor invoking the instructions in the memory to cause the dispatch stall exception prompting apparatus to perform the steps of the dispatch stall exception prompting method as recited in any of claims 1-7.

10. A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of claims 1-7.