CN116882876A - Abnormal waybill processing method and device, storage medium and electronic equipment - Google Patents

Abnormal waybill processing method and device, storage medium and electronic equipment Download PDF

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CN116882876A
CN116882876A CN202210314050.1A CN202210314050A CN116882876A CN 116882876 A CN116882876 A CN 116882876A CN 202210314050 A CN202210314050 A CN 202210314050A CN 116882876 A CN116882876 A CN 116882876A
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abnormal
responsibility
circulation
waybill
data
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郭晶
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • Y02P90/30—Computing systems specially adapted for manufacturing

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Abstract

The disclosure provides an abnormal waybill processing method and device, a storage medium and electronic equipment, and relates to the technical field of logistics. The abnormal waybill processing method comprises the following steps: based on a preset configuration rule, carrying out abnormal analysis on the circulation information of the abnormal freight bill to determine an abnormal circulation link of the abnormal freight bill; generating the abnormal freight bill data according to the abnormal circulation links of the abnormal freight bill and the responsibility objects corresponding to the abnormal circulation links; the method comprises the steps of sending the waybill abnormal data to a site terminal corresponding to a responsibility object, and obtaining abnormal verification data corresponding to the waybill abnormal data from the site terminal corresponding to the responsibility object; and determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data. The method and the system realize responsibility tracking on the abnormal waybill line, and can improve the efficiency and accuracy of responsibility tracking when the waybill is abnormal.

Description

Abnormal waybill processing method and device, storage medium and electronic equipment
Technical Field
The disclosure relates to the technical field of logistics, in particular to an abnormal waybill processing method, an abnormal waybill processing device, a computer readable storage medium and electronic equipment.
Background
In the logistics industry, each transported cargo is typically provided with a corresponding manifest to track the cargo transportation status. Since various problems, such as loss of goods, overtime of transportation, breakage of goods, etc., are inevitably occurred in the course of transportation as the quantity of goods transported is increased, it is necessary to trace responsibility of each site where the goods are transported in order to determine the transportation site where abnormality of the bill is caused.
In the related art, when the responsibility tracking is generally performed on the abnormal freight bill, the responsibility object is manually determined by the staff, the responsibility is divided, a large amount of time and cost are required to be consumed, and the efficiency is low.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The disclosure provides an abnormal waybill processing method, an abnormal waybill processing device, a computer readable storage medium and electronic equipment, so as to solve the problem of low responsibility tracking efficiency when a waybill is abnormal in the related technology at least to a certain extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided an abnormal waybill processing method, including: based on a preset configuration rule, carrying out abnormal analysis on the circulation information of the abnormal freight bill to determine an abnormal circulation link of the abnormal freight bill; generating the abnormal freight bill data according to the abnormal circulation links of the abnormal freight bill and the responsibility objects corresponding to the abnormal circulation links; the waybill abnormal data are sent to the site terminal corresponding to the responsibility object, and the abnormal verification data corresponding to the waybill abnormal data are obtained from the site terminal corresponding to the responsibility object; and determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data.
In an exemplary embodiment of the present disclosure, after obtaining the abnormality verification data corresponding to the waybill abnormality data, the method further includes: in response to a selection operation of a candidate target responsibility object, determining the target responsibility object from the candidate target responsibility objects.
In an exemplary embodiment of the present disclosure, when the candidate target responsibility object is not included in the responsibility object corresponding to the abnormal flow link, the determining the target responsibility object from the candidate target responsibility objects includes: sending a verification instruction to a site terminal corresponding to the candidate target responsibility object; receiving abnormal verification data of the candidate target responsibility object from a site terminal corresponding to the candidate target responsibility object; determining the target responsibility object from the candidate target responsibility objects based on the anomaly verification data of the candidate target responsibility objects.
In an exemplary embodiment of the present disclosure, the preset configuration rules include one or more of the following types: a manifest article loss class rule, a circulation link overtime class rule and a manifest article breakage class rule.
In an exemplary embodiment of the present disclosure, the performing, based on a preset configuration rule, an anomaly analysis on the circulation information of an abnormal freight bill to determine an abnormal circulation link of the abnormal freight bill includes: based on the freight bill article loss class rule, carrying out loss class exception analysis on the circulation information of the abnormal freight bill, and determining a loss class exception circulation link; based on the overtime class rule of the circulation link, carrying out overtime class exception analysis on the circulation information of the abnormal freight bill, and determining an overtime class exception circulation link; based on the damage rule of the freight bill object, carrying out damage type abnormal analysis on the circulation information of the abnormal freight bill, and determining a damage type abnormal circulation link; and taking the lost abnormal transfer link, the overtime abnormal transfer link and the damaged abnormal transfer link as the abnormal transfer links of the abnormal freight list.
In an exemplary embodiment of the present disclosure, before generating the manifest exception data according to the exception circulation link of the exception manifest and the responsibility object corresponding to the exception circulation link, the method further includes: and determining a responsibility object corresponding to the abnormal circulation link from the transfer site objects of the abnormal waybill.
In an exemplary embodiment of the present disclosure, the method further comprises: and sending responsibility confirmation information to the site terminal corresponding to the target responsibility object, and acquiring feedback information corresponding to the responsibility confirmation information from the site terminal corresponding to the target responsibility object.
According to a second aspect of the present disclosure, there is provided an abnormal waybill handling device comprising: the abnormal link determining module is used for carrying out abnormal analysis on the circulation information of the abnormal freight bill based on a preset configuration rule so as to determine an abnormal circulation link of the abnormal freight bill; the abnormal data generation module is used for generating the abnormal data of the freight bill according to the abnormal circulation link of the abnormal freight bill and the responsibility object corresponding to the abnormal circulation link; the verification data acquisition module is used for sending the waybill abnormal data to the site terminal corresponding to the responsibility object and acquiring the abnormal verification data corresponding to the waybill abnormal data from the site terminal corresponding to the responsibility object; and the target object determining module is used for determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data.
According to a third aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described abnormal waybill processing method.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the above-described exception manifest handling method via execution of the executable instructions.
The technical scheme of the present disclosure has the following beneficial effects:
in the abnormal freight bill processing process, carrying out abnormal analysis on the circulation information of the abnormal freight bill based on a preset configuration rule so as to determine an abnormal circulation link of the abnormal freight bill; generating the abnormal data of the freight bill according to the abnormal transfer link of the abnormal freight bill and the responsibility object corresponding to the abnormal transfer link; the method comprises the steps of sending the waybill abnormal data to a site terminal corresponding to a responsibility object, and obtaining abnormal verification data corresponding to the waybill abnormal data from the site terminal corresponding to the responsibility object; and determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data. On the one hand, based on the preset configuration rules, the abnormal circulation links and the corresponding responsibility objects can be identified, automatic dispatch of the abnormal data of the freight bill is realized, the manual processing pressure can be reduced, and the responsibility tracking efficiency of the abnormal freight bill can be improved. On the other hand, by acquiring the abnormal verification data, the target responsibility object is further defined, and the accuracy of the responsibility tracking result is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely some embodiments of the present disclosure and that other drawings may be derived from these drawings without undue effort.
FIG. 1 illustrates a system architecture diagram of an operating environment of the present exemplary embodiment;
FIG. 2 is a flow chart showing an abnormal waybill handling method in the present exemplary embodiment;
FIG. 3 illustrates a flow chart of an abnormal waybill staging process in the present exemplary embodiment;
FIG. 4 shows a flowchart of an abnormal bill liability trace in the present exemplary embodiment;
fig. 5 is a block diagram showing a configuration of an abnormal waybill processing device in the present exemplary embodiment;
fig. 6 shows an electronic device for implementing the above-described abnormal waybill processing method in the present exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
In the related technology, after the abnormal report of the bill is carried out, the abnormal links in the bill are manually inquired by a bill manager, and the abnormal inquiry is carried out by a responsible person in the link with the problem, so that the whole responsibility tracking process has more human intervention, the manual processing task amount is overlarge, and the responsibility tracking efficiency is influenced due to the lack of a system abnormal bill responsibility tracking method.
In view of one or more of the problems described above, exemplary embodiments of the present disclosure provide an abnormal waybill processing method that is applicable to a scenario in which responsibility tracking of an abnormal waybill occurs. Fig. 1 shows a system architecture diagram of the method operating environment, including an abnormal waybill processing end 110 and a plurality of site terminals 120, where the abnormal waybill processing end 110 and the plurality of site terminals 120 may perform an interactive operation, and the abnormal waybill processing end 110 may be used to execute the abnormal waybill processing method, which may be terminal electronic equipment of a logistics abnormal management and control department. The plurality of site terminals 120 may be terminal electronics of a plurality of logistics sites and may be configured to provide abnormal verification data of the waybill for the abnormal waybill handling terminal 110 to track responsibility.
It should be understood that the number of devices in fig. 1 is merely exemplary, and any number of station terminals 120 may be provided as desired for implementation.
Fig. 2 shows a schematic flow of the abnormal waybill handling method in the present exemplary embodiment, including the following steps S210 to S240:
step S210, carrying out exception analysis on the circulation information of the exception freight list based on a preset configuration rule so as to determine an exception circulation link of the exception freight list;
step S220, generating the abnormal data of the freight bill according to the abnormal circulation link of the abnormal freight bill and the responsibility object corresponding to the abnormal circulation link;
step S230, the abnormal data of the waybill is sent to the site terminal corresponding to the responsibility object, and the abnormal verification data corresponding to the abnormal data of the waybill is obtained from the site terminal corresponding to the responsibility object;
step S240, determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data.
In the abnormal freight bill processing process, on one hand, based on a preset configuration rule, an abnormal circulation link and a corresponding responsibility object can be identified, automatic dispatch of freight bill abnormal data is realized, manual processing pressure can be relieved, and responsibility tracking efficiency of the abnormal freight bill is improved. On the other hand, by acquiring the abnormal verification data, the target responsibility object is further defined, and the accuracy of the responsibility tracking result is improved.
Each step in fig. 2 is specifically described below.
Step S210, carrying out exception analysis on the circulation information of the exception ticket based on a preset configuration rule so as to determine an exception circulation link of the exception ticket.
The circulation information of the abnormal bill refers to the route information of the article, for example, the article arrives at a certain station at a certain moment. The abnormal circulation link refers to a stage of a problem that may occur in the transportation of the article during circulation, such as the problem that the article is lost during transportation, the article is not delivered on time, the article is damaged during transportation, and the like. The anomaly analysis is mainly used for locating the abnormal circulation links in the abnormal freight list.
The preset configuration rules are rules set for abnormal problems that may occur in the cargo during the transportation process, and may include, for example, one or more of the following types: a manifest article loss class rule, a circulation link overtime class rule and a manifest article breakage class rule.
The manifest article loss class rule, the circulation link overtime class rule and the manifest article breakage class rule can be respectively used for judging the abnormality of the manifest article in the types of loss, overtime and breakage so as to position the corresponding abnormal circulation link of the abnormal manifest.
In an alternative embodiment, based on a preset configuration rule, the abnormal analysis is performed on the circulation information of the abnormal freight list, so as to determine an abnormal circulation link of the abnormal freight list, which can be implemented by the following ways: based on a freight bill object loss class rule, carrying out loss class exception analysis on the circulation information of the abnormal freight bill, and determining a loss class exception circulation link; based on a circulation link overtime class rule, carrying out overtime class exception analysis on circulation information of an exception freight bill, and determining an overtime class exception circulation link; based on the damage rule of the freight bill object, carrying out damage type abnormal analysis on the circulation information of the abnormal freight bill, and determining a damage type abnormal circulation link; and taking the lost abnormal transfer link, the overtime abnormal transfer link and the damaged abnormal transfer link as the abnormal transfer links of the abnormal waybill.
When determining the lost class abnormal circulation link, if detecting that after a certain circulation link, the freight bill does not update circulation information any more, judging that the freight bill is likely to have lost class abnormality, and taking the previous circulation link and/or the next circulation link when the freight bill stops updating at the moment as the lost class abnormal circulation link; when the overtime abnormal circulation link is determined, if the update time of a certain circulation link of the waybill is detected to exceed the preset time limit, judging that the overtime abnormal circulation link possibly occurs in the waybill, and taking the circulation link as the overtime abnormal circulation link. If the transported article or the article package is damaged in a certain circulation link, when the damage feedback of a user is found or received in the subsequent circulation process, the damage remark is carried out on the freight bill, the freight bill corresponding to the article is damaged, and the freight bill is screened out as an abnormal freight bill. When the damaged abnormal circulation links are determined, the circulation links positioned before the damaged moment can be used as the possibly-occurring damaged abnormal circulation links by detecting the damaged remark information.
The process not only can determine the abnormal circulation link, but also can further determine the abnormal type possibly occurring in the abnormal circulation link so as to facilitate the abnormal investigation and confirmation, and further has pertinence when acquiring the abnormal data of the waybill and analyzing the abnormal data of the waybill, so that the accuracy of the responsibility tracking result is improved.
It should be noted that, in the above process, preset configuration rules are divided into three categories: loss class, timeout class, breakage class. In the actual application process, other types, such as mismatching of the actual circulation path of the article and the destination of the bill circulation, and the like, can be added according to the actual demand.
In an alternative embodiment, the flexible online configuration function may be encapsulated by a rule engine to flexibly configure preset configuration rules.
The preset configuration rules are flexibly configured on line, so that convenience and adjustability of rule setting are enhanced.
In an alternative embodiment, when the abnormal circulation link of the abnormal waybill cannot be determined based on the preset configuration rule, the abnormal circulation link specified by the waybill manager for the abnormal waybill may be acquired.
Because the abnormal condition of the waybill is various, when the preset configuration rule cannot completely cover various abnormal conditions, the problem that the abnormal circulation link cannot be determined based on the preset configuration rule may occur, and for the condition, a data acquisition interface may be reserved to acquire the abnormal circulation link designated by the waybill manager according to the abnormal waybill.
The process is compatible with various conditions of abnormal handbill, so as to avoid the condition that the preset configuration rule is imperfect.
Step S220, generating the abnormal data of the freight bill according to the abnormal circulation link of the abnormal freight bill and the responsibility object corresponding to the abnormal circulation link.
Each waybill transfer link can correspond to a responsibility object for bearing the object transportation task of the corresponding transfer link. After the abnormal circulation link is determined, the related information of the responsibility object corresponding to the abnormal circulation link can be automatically extracted, and the abnormal circulation link and the related information of the responsibility object corresponding to the abnormal circulation link are assembled into the waybill abnormal data. In addition, the waybill abnormality data may also include data related to the waybill abnormality, such as the time when the abnormality occurs, the type of configuration rule to which the abnormality belongs, and the like.
In an alternative embodiment, before generating the abnormal data of the freight bill according to the abnormal circulation link and the responsibility object corresponding to the abnormal circulation link of the abnormal freight bill, the responsibility object corresponding to the abnormal circulation link may be determined from the transferring site object of the abnormal freight bill.
The responsibility objects can be all site objects of logistics transfer, and responsibility objects corresponding to the abnormal transfer links can be extracted from transfer site objects of the abnormal waybills so as to obtain responsibility objects corresponding to the abnormal transfer links. The transfer site object of the abnormal freight bill contains all site information passed by the abnormal freight bill in the circulation process, and the automatic extraction of the information of the responsibility object can be realized.
It should be noted that, because the actual article transportation process has uncontrollability, an abnormal freight bill may have multiple abnormal transportation, so the abnormal transportation link and the corresponding responsibility object may be one or multiple. In the process, the responsibility objects of a plurality of abnormal handbill can be preliminarily confirmed based on the preset configuration rules, and when the determined responsibility objects are a plurality of responsibility objects, a plurality of subtask flows can be started subsequently to distribute the determined abnormal data of the handbill.
Step S230, the waybill abnormal data is sent to the site terminal corresponding to the responsibility object, and the abnormal verification data corresponding to the waybill abnormal data is obtained from the site terminal corresponding to the responsibility object.
Corresponding site terminals can be configured for each logistics site in advance, so that the responsibility objects determined from the transfer site objects of the abnormal waybills also have the corresponding site terminals, and interaction between the abnormal waybill processing end and the responsibility objects corresponding to the abnormal circulation links is realized.
It should be noted that, when the determined responsibility objects are multiple, multiple subtask flows may be started, and the corresponding waybill abnormal data is sent to the corresponding responsibility objects.
The abnormality verification data is proof data for verifying the authenticity of the occurrence of an abnormality, such as article circulation record information when an article circulation goes to a station corresponding to a responsible object, and data information such as a monitoring video or a snap shot image of the station for the article. After receiving the abnormal data of the waybill, each terminal station can call corresponding abnormal verification data according to the abnormal data of the waybill. In addition, the abnormal verification data can be sent to the abnormal waybill processing end after being subjected to regional rechecking so as to ensure the true reliability of the data.
Step S240, determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data.
The target responsibility object refers to a diversion site object confirmed based on the abnormality verification data, which causes a waybill abnormality.
When the target responsibility object is determined, different modes can be adopted to determine the target responsibility object from the responsibility objects corresponding to the abnormal circulation links according to the abnormal types of the abnormal circulation links.
For example, when an abnormal circulation link is determined to be an abnormal circulation link according to a loss class rule, whether a responsibility object corresponding to the abnormal circulation link is a target responsibility object can be determined by analyzing related information of the last occurrence of the goods of the related abnormal freight list in the abnormal verification data and flow information of the goods; when an abnormal circulation link is determined to be an abnormal circulation link according to a timeout rule, judging whether the time information of the goods of the related abnormal freight list in the abnormal verification data reaching the corresponding responsibility object site exceeds a preset time limit, and if the time information exceeds the preset time limit, considering the responsibility object corresponding to the abnormal circulation link as a target responsibility object; when an abnormal circulation link is determined to be an abnormal circulation link according to a damage rule, image recognition processing can be carried out according to video or picture data in abnormal verification data, whether the articles of the abnormal freight bill are subjected to violent sorting or whether the articles are packaged to be damaged or not is judged, and if so, the responsibility object corresponding to the abnormal circulation link is considered to be a target responsibility object.
The process carries out responsibility tracking and responsibility identification on the responsibility object corresponding to the abnormal circulation link based on the received abnormal verification data, and determines whether the responsibility object belongs to the target responsibility object. When the responsibility object corresponding to the abnormal circulation link does not belong to the target responsibility object, the responsibility object can be filtered in the responsibility tracking process and is not used as a site object for further confirmation.
In an alternative embodiment, the target responsibility object may also be determined from the candidate target responsibility objects in response to a selection operation of the candidate target responsibility object.
The selection operation of the candidate target responsibility object can be, for example, an operation of adding the candidate target responsibility object in a graphical user interface of the abnormal waybill processing end by a waybill manager. The waybill manager may empirically add candidate target responsibility objects that may cause the waybill to be abnormal based on the abnormal waybill to dynamically adjust the determined target responsibility objects.
The process provides a dynamically adjusted configuration interface for determining the target responsibility object so as to perfect a responsibility tracking mechanism of the abnormal freight bill and enhance flexibility.
In an optional implementation manner, when the candidate target responsibility object is not included in the responsibility object corresponding to the abnormal circulation link, a verification instruction may also be sent to the site terminal corresponding to the candidate target responsibility object; acquiring abnormal verification data corresponding to the waybill abnormal data from a site terminal corresponding to the candidate target responsibility object; the target responsibility object is determined from the candidate target responsibility objects based on the anomaly verification data transmitted by the candidate target responsibility objects.
The responsibility tracking of the candidate target responsibility object is realized by interacting with the site corresponding to the candidate target responsibility object, so that the accuracy of the responsibility tracking result is enhanced. When the station terminal corresponding to the candidate target responsibility object receives the verification instruction, the corresponding abnormal verification data is sent to the abnormal waybill processing end, so that the abnormal waybill processing end judges whether the target responsibility object exists in the candidate target responsibility object according to the received abnormal verification data.
In an alternative embodiment, responsibility confirmation information may be further sent to the site terminal corresponding to the target responsibility object, and feedback information of the responsibility confirmation information may be obtained from the site terminal corresponding to the target responsibility object.
By confirming the responsibility of the determined target responsibility objects, each responsibility object can clearly determine the final responsibility confirmation condition of the abnormal freight bill so as to construct a clear and clear responsibility tracking mechanism.
In an alternative embodiment, the determined target responsibility object may also be generated into a statistics report, and output to a third party system to implement data statistics and analysis of the responsibility tracking result of the abnormal freight bill.
The processing of an abnormal waybill may be divided into three phases including rule configuration 310, flow configuration 320, and data management 330, such as the one provided by FIG. 3. The rule configuration 310 includes three types of preset configuration rules mentioned above: loss class rules 311, timeout class rules 312, and breakage class rules 313. Generating waybill anomaly data based on the configured rules; the process configuration 320 may complete responsibility tracking by starting multiple sub-processes, distribute the obtained manifest exception data to the corresponding responsible objects 321, obtain the exception verification data of the responsible objects from the responsible objects 321, and obtain the responsibility tracking result through the responsibility tracking stage 322 to determine the target responsible objects. In the data management 330, the obtained responsibility tracking result is generated into a statistics report 331 and output to the third party system 332, so as to realize the statistical analysis of the responsibility tracking result.
FIG. 4 shows a flow chart of an abnormal bill of lading tracking process, specifically comprising the steps of:
step S410, starting;
step S420, acquiring a responsibility object of an abnormal freight bill;
step S430, acquiring abnormal verification data of the responsible object;
step S440, carrying out responsibility tracking based on the abnormality verification data;
step S450, confirming a responsibility tracking result;
step S460, end.
The responsibility object of the abnormal freight note can be the responsibility object corresponding to the abnormal circulation link determined based on the preset configuration rule, can be the responsibility object corresponding to the abnormal circulation link appointed by the freight note manager aiming at the abnormal freight note, and can also be the candidate target responsibility object not included in the responsibility object corresponding to the abnormal circulation link determined by the freight note manager. The abnormality verification data of the responsible object may be acquired from the site terminal to which the responsible object corresponds. The responsibility tracking result may be the final determined target responsibility object. Step S450 is to perform responsibility confirmation on the determined target responsibility object, so that the target responsibility object can clarify the final responsibility confirmation condition of the abnormal manifest.
The exemplary embodiments of the present disclosure also provide an abnormal bill handling apparatus, as shown in fig. 5, the abnormal bill handling apparatus 500 may include:
the abnormal link determining module 510 is configured to perform abnormal analysis on the circulation information of the abnormal waybill based on a preset configuration rule, so as to determine an abnormal circulation link of the abnormal waybill;
the abnormal data generating module 520 is configured to generate abnormal data of the waybill according to an abnormal circulation link of the abnormal waybill and a responsibility object corresponding to the abnormal circulation link;
the verification data obtaining module 530 is configured to send the manifest exception data to a site terminal corresponding to the responsible object, and obtain exception verification data corresponding to the manifest exception data from the site terminal corresponding to the responsible object;
the target object determining module 540 is configured to determine a target responsibility object from responsibility objects corresponding to the abnormal circulation link based on the abnormal verification data.
In an alternative embodiment, after obtaining the abnormality verification data corresponding to the abnormal data of the waybill, the abnormal waybill processing device 500 may further include: and the target object adjusting module is used for responding to the selection operation of the candidate target responsibility objects and determining the target responsibility objects from the candidate target responsibility objects.
In an alternative embodiment, when the obtained candidate target responsibility object is not included in the responsibility object corresponding to the abnormal circulation link, the target object adjusting module may be configured to: sending a verification instruction to a site terminal corresponding to the candidate target responsibility object; acquiring abnormal verification data corresponding to the waybill abnormal data from a site terminal corresponding to the candidate target responsibility object; the target responsibility object is determined from the candidate target responsibility objects based on the anomaly verification data transmitted by the candidate target responsibility objects.
In an alternative embodiment, the configuration rules preset in the abnormal waybill handling device 500 may include one or more of the following types: a manifest article loss class rule, a circulation link overtime class rule and a manifest article breakage class rule.
In an alternative embodiment, the abnormal link determination module 510 may be configured to: based on a freight bill object loss class rule, carrying out loss class exception analysis on the circulation information of the abnormal freight bill, and determining a loss class exception circulation link; based on a circulation link overtime class rule, carrying out overtime class exception analysis on circulation information of an exception freight bill, and determining an overtime class exception circulation link; based on the damage rule of the freight bill object, carrying out damage type abnormal analysis on the circulation information of the abnormal freight bill, and determining a damage type abnormal circulation link; and taking the lost abnormal transfer link, the overtime abnormal transfer link and the damaged abnormal transfer link as the abnormal transfer links of the abnormal waybill.
In an alternative embodiment, before generating the abnormal freight list data according to the abnormal circulation link of the abnormal freight list and the responsibility object corresponding to the abnormal circulation link, the abnormal freight list processing apparatus 500 may further include: and the responsibility object determining module is used for determining responsibility objects corresponding to the abnormal circulation links from the transferring site objects of the abnormal handbill.
In an alternative embodiment, the abnormal bill handling apparatus 500 may further include: the responsibility confirmation feedback module is used for sending responsibility confirmation information to the site terminal corresponding to the target responsibility object and acquiring feedback information corresponding to the responsibility confirmation information from the site terminal corresponding to the target responsibility object.
The specific details of each part in the abnormal bill handling device 500 are described in detail in the method part embodiments, and the details not disclosed can be referred to the embodiment of the method part, so that the details are not described again.
Exemplary embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon a program product capable of implementing the abnormal manifest handling method described above in the present specification. In some possible implementations, aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing an electronic device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on an electronic device. The program product may employ a portable compact disc read-only memory (CD-ROM) and comprise program code and may be run on an electronic device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The exemplary embodiment of the disclosure also provides an electronic device capable of implementing the abnormal waybill processing method. An electronic device 600 according to such an exemplary embodiment of the present disclosure is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 6, the electronic device 600 may be embodied in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different system components (including the memory unit 620 and the processing unit 610), and a display unit 640.
The storage unit 620 stores program codes that can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present disclosure described in the above "exemplary method" section of the present specification. For example, the processing unit 610 may perform any one or more of the method steps of fig. 2-4.
The storage unit 620 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 621 and/or cache memory 622, and may further include Read Only Memory (ROM) 623.
The storage unit 620 may also include a program/utility 624 having a set (at least one) of program modules 625, such program modules 625 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 630 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and/or any device (e.g., router, modem, etc.) that enables the electronic device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 650. Also, electronic device 600 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 660. As shown, network adapter 660 communicates with other modules of electronic device 600 over bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the exemplary embodiments of the present disclosure.
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division 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 in accordance with exemplary embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. An abnormal waybill processing method, comprising the steps of:
based on a preset configuration rule, carrying out abnormal analysis on the circulation information of the abnormal freight bill to determine an abnormal circulation link of the abnormal freight bill;
generating the abnormal freight bill data according to the abnormal circulation links of the abnormal freight bill and the responsibility objects corresponding to the abnormal circulation links;
the waybill abnormal data are sent to the site terminal corresponding to the responsibility object, and the abnormal verification data corresponding to the waybill abnormal data are obtained from the site terminal corresponding to the responsibility object;
and determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data.
2. The method of claim 1, wherein after obtaining the anomaly verification data corresponding to the waybill anomaly data, the method further comprises:
in response to a selection operation of a candidate target responsibility object, determining the target responsibility object from the candidate target responsibility objects.
3. The method according to claim 2, wherein when the candidate target responsibility object is not included in the responsibility object corresponding to the abnormal flow link, the determining the target responsibility object from the candidate target responsibility object includes:
sending a verification instruction to a site terminal corresponding to the candidate target responsibility object;
acquiring abnormal verification data corresponding to the waybill abnormal data from a site terminal corresponding to the candidate target responsibility object;
the target responsibility object is determined from the candidate target responsibility objects based on the anomaly verification data sent by the candidate target responsibility objects.
4. The method of claim 1, wherein the preset configuration rules include one or more of the following types:
a manifest article loss class rule, a circulation link overtime class rule and a manifest article breakage class rule.
5. The method of claim 4, wherein the performing an anomaly analysis on the flow information of the abnormal waybill based on the preset configuration rule to determine an abnormal flow link of the abnormal waybill comprises:
based on the freight bill article loss class rule, carrying out loss class exception analysis on the circulation information of the abnormal freight bill, and determining a loss class exception circulation link;
based on the overtime class rule of the circulation link, carrying out overtime class exception analysis on the circulation information of the abnormal freight bill, and determining an overtime class exception circulation link;
based on the damage rule of the freight bill object, carrying out damage type abnormal analysis on the circulation information of the abnormal freight bill, and determining a damage type abnormal circulation link;
and taking the lost abnormal transfer link, the overtime abnormal transfer link and the damaged abnormal transfer link as the abnormal transfer links of the abnormal freight list.
6. The method of claim 1, wherein prior to generating the manifest exception data from the exception flow links and the responsibility objects corresponding to the exception flow links for the exception manifest, the method further comprises:
and determining a responsibility object corresponding to the abnormal circulation link from the transfer site objects of the abnormal waybill.
7. The method according to any one of claims 1 to 6, further comprising:
and sending responsibility confirmation information to the site terminal corresponding to the target responsibility object, and acquiring feedback information corresponding to the responsibility confirmation information from the site terminal corresponding to the target responsibility object.
8. An abnormal waybill processing device, comprising:
the abnormal link determining module is used for carrying out abnormal analysis on the circulation information of the abnormal freight bill based on a preset configuration rule so as to determine an abnormal circulation link of the abnormal freight bill;
the abnormal data generation module is used for generating the abnormal data of the freight bill according to the abnormal circulation link of the abnormal freight bill and the responsibility object corresponding to the abnormal circulation link;
the verification data acquisition module is used for sending the waybill abnormal data to the site terminal corresponding to the responsibility object and acquiring the abnormal verification data corresponding to the waybill abnormal data from the site terminal corresponding to the responsibility object;
and the target object determining module is used for determining a target responsibility object from responsibility objects corresponding to the abnormal circulation links based on the abnormal verification data.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1 to 7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any one of claims 1 to 7 via execution of the executable instructions.
CN202210314050.1A 2022-03-28 2022-03-28 Abnormal waybill processing method and device, storage medium and electronic equipment Pending CN116882876A (en)

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Application Number Priority Date Filing Date Title
CN202210314050.1A CN116882876A (en) 2022-03-28 2022-03-28 Abnormal waybill processing method and device, storage medium and electronic equipment

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