CN115170073A

CN115170073A - Logistics arbitration list processing method, device, equipment and storage medium

Info

Publication number: CN115170073A
Application number: CN202210784926.9A
Authority: CN
Inventors: 陈也; 杨周龙; 李辉
Original assignee: Dongpu Software Co Ltd
Current assignee: Dongpu Software Co Ltd
Priority date: 2022-07-05
Filing date: 2022-07-05
Publication date: 2022-10-11

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a method, a device, equipment and a storage medium for processing a logistics arbitration list. The method comprises the steps of obtaining a logistics arbitration list, and reading a work order identification and a work order type from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

Description

Logistics arbitration list processing method, device, equipment and storage medium

Technical Field

The invention relates to the technical field of artificial intelligence, in particular to a method, a device, equipment and a storage medium for processing a logistics arbitration list.

Background

Express delivery and parcel are included, and the problem such as lose, damage and pollution can take place in the transit, and the commodity circulation arbitration list is the work order that the user initiated the arbitration that aims at these problems through the channel that the express delivery enterprise provided. The process for processing the logistics arbitration list comprises the following steps: and auditing and arbitrating processing are carried out based on the arbitration rules of the enterprises according to the relevant information on the logistics arbitration list.

In the existing logistics arbitration list processing scheme, a manual processing mode is usually adopted to process the logistics arbitration list.

In summary, the prior art has a problem that the logistics arbitration sheet cannot be automatically processed.

Disclosure of Invention

The present application mainly aims to provide a method, an apparatus, a device and a storage medium for processing a logistics arbitration list, so as to solve the problem that the logistics arbitration list cannot be automatically processed in the prior art.

The first aspect of the present invention provides a method for processing a logistics arbitration list, wherein the method for processing the logistics arbitration list comprises: acquiring a logistics arbitration list, and reading a work order identifier and a work order type from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type, wherein the arbitration rule comprises a form rule and a substantive rule; judging whether the information content meets the form rule; if the formal rule is not satisfied, performing formal audit on the information content based on the formal rule to generate a formal processing result; if the form rule is satisfied, judging whether the information content satisfies the substantive rule, wherein the substantive rule comprises an item substantive requirement corresponding to the information item; if the substantive rule is not satisfied, performing substantive audit on the information content based on the substantive rule to generate a substantive processing result; if the substantive rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and a test result according to the project substantive requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the test result.

In a first implementation manner of the first aspect of the present invention, the information item at least includes a field name and a platform information request, and the information content at least includes a field and platform information; the extracting of the information content corresponding to the information item from the logistics arbitration list according to the information extraction mode includes: identifying the field name from the logistics arbitration ticket; extracting fields corresponding to the field names; determining a request identifier according to the information extraction mode, and extracting a platform information request corresponding to the request identifier from the logistics arbitration list according to the request identifier; and reading platform information corresponding to the platform information request on a preset logistics information platform.

In a second implementation manner of the first aspect of the present invention, the information item further includes an evidence item, and the information content further includes an evidence picture and evidence information, where the evidence information includes express delivery damage information and express delivery pollution information; the extracting the information content corresponding to the information item from the logistics arbitration list according to the information extracting manner further comprises: determining an evidence identifier corresponding to the evidence item according to the information extraction mode, and extracting the evidence picture from the logistics arbitration list according to the evidence identifier; and detecting the evidence picture through a pre-trained picture detection model to obtain the express delivery damage information and the express delivery pollution information.

In a third implementation form of the first aspect of the present invention, the picture detection model includes a damage detection model and a contamination detection model; the method comprises the following steps of detecting an evidence picture through a pre-trained picture detection model to obtain express delivery damage information and express delivery pollution information, and further comprising the following steps: the method comprises the steps of obtaining express damage data and corresponding damage marking data, and constructing an express damage data set based on the express damage data and the corresponding damage marking data; inputting the data in the express delivery damage data set into a preset first neural network model for training to obtain a first training result; calculating a first loss value through a cross entropy function according to the first training result; modifying parameters in the first neural network model according to the first loss value, and recording parameter characteristics of the first neural network model; circularly inputting data in the express delivery damage data set to the first neural network model for training until the corresponding first loss value and the corresponding parameter characteristic meet preset standards to obtain the damage detection model; the method comprises the steps of obtaining express pollution data and corresponding pollution marking data, and constructing an express pollution data set based on the express pollution data and the corresponding pollution marking data; inputting the data in the express pollution data set into a preset second neural network model for training to obtain a second training result; calculating a second loss value through a cross entropy function according to the second training result; modifying parameters in the second neural network model according to the second loss value, and recording parameter characteristics of the second neural network model; and circularly inputting the data in the express pollution data set into the second neural network model for training until the corresponding second loss value and the corresponding parameter characteristic meet preset standards to obtain the pollution detection model.

In a fourth implementation manner of the first aspect of the present invention, the determining whether the information content satisfies the formal rule includes: analyzing the form rule to obtain an item form requirement corresponding to each information item, wherein the item form requirement comprises a field form requirement and a request form requirement; judging whether the field meets the field form requirement; judging whether the platform information request meets the request form requirement or not; if the two are satisfied, outputting a judgment result of satisfaction; if not, outputting the judgment result as unsatisfied.

In a fifth implementation form of the first aspect of the present invention, the project substance requirement includes a platform information requirement and an evidence information requirement; the determining whether the information content satisfies the substantive rule includes: searching a corresponding arbitration type in a preset arbitration type set by taking the field as an index; determining the platform information requirement and the evidence information requirement according to the arbitration type; extracting logistics time and logistics state from the platform information, and judging whether the logistics time and the logistics state meet the requirements of the platform information; extracting corresponding evidence information from the information content, and judging whether the evidence information meets the evidence information requirement or not; if the two signals are both satisfied, outputting a judgment result of yes; if not, outputting the judgment result as no.

In a sixth implementation manner of the first aspect of the present invention, the substantive rule includes a rule identification and an examination result, and the processing scheme includes an examination notice book, wherein the examination notice book includes a notice object and an examination part; the determining a notification object according to the information content, determining a corresponding rule identifier and the examination result according to the project substantive requirement, and generating a processing result corresponding to the logistics arbitration sheet based on the work order identifier, the notification object, the rule identifier and the examination result includes: extracting the notification object from the platform information; determining the corresponding rule identification and the examination result according to the project substantive requirement, and generating the examination part based on the rule identification and the examination result; encapsulating the work order identification, the notification object and the examination part into the examination notice book and transmitting the examination notice book to the logistics information platform; and sending the examination notice to the notice object through the logistics information platform.

The second aspect of the present invention provides a logistics arbitration single processing apparatus, including: the acquisition module is used for acquiring a logistics arbitration list and reading a work order identifier and a work order type from the logistics arbitration list; the extraction module is used for determining a corresponding information item and an information extraction mode according to the work order type and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; the determining module is used for determining a corresponding arbitration rule according to the work order type, wherein the arbitration rule comprises a form rule and a substantive rule; the first judgment module is used for judging whether the information content meets the form rule or not; the first generation module is used for performing formal audit on the information content based on the formal rule and generating a formal processing result when the formal rule is not satisfied; a second judging module, configured to judge whether the information content meets the substantive rule when the formal rule is met, where the substantive rule includes an item substantive requirement corresponding to the information item; the second generation module is used for performing substantial examination on the information content based on the substantial rule and generating a substantial processing result when the substantial rule is not satisfied; and the third generation module is used for determining a notification object according to the information content when the substantive rule is met, determining a corresponding rule identifier and the examination dealing result according to the project substantive requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination dealing result.

In a first implementation manner of the second aspect of the invention, the extraction module includes: the identification unit is used for identifying the field name from the logistics arbitration list; the first extraction unit is used for extracting the fields corresponding to the field names; the second extraction unit is used for determining a request identifier according to the information extraction mode and extracting a platform information request corresponding to the request identifier from the logistics arbitration list according to the request identifier; and the reading unit is used for reading the platform information corresponding to the platform information request on a preset logistics information platform.

In a second implementation manner of the second aspect of the present invention, the extraction module further includes: a third extraction unit, configured to determine an evidence identifier corresponding to the evidence item according to the information extraction manner, and extract the evidence picture from the logistics arbitration sheet according to the evidence identifier; and the detection unit is used for detecting the evidence picture through a pre-trained picture detection model to obtain the express damage information and the express pollution information.

In a third implementation manner of the second aspect of the present invention, the logistics arbitration policy processing apparatus further includes a model training module, configured to obtain the express damage data and the corresponding damage labeling data, and construct an express damage data set based on the express damage data and the corresponding damage labeling data; inputting the data in the express delivery damage data set into a preset first neural network model for training to obtain a first training result; calculating a first loss value through a cross entropy function according to the first training result; modifying parameters in the first neural network model according to the first loss value, and recording parameter characteristics of the first neural network model; circularly inputting data in the express delivery damage data set to the first neural network model for training until the corresponding first loss value and the corresponding parameter characteristic meet a preset standard to obtain the damage detection model; the method comprises the steps of obtaining express pollution data and corresponding pollution marking data, and constructing an express pollution data set based on the express pollution data and the corresponding pollution marking data; inputting the data in the express pollution data set into a preset second neural network model for training to obtain a second training result; calculating a second loss value through a cross entropy function according to the second training result; modifying parameters in the second neural network model according to the second loss value, and recording parameter characteristics of the second neural network model; and circularly inputting the data in the express pollution data set into the second neural network model for training until the corresponding second loss value and the corresponding parameter characteristic meet preset standards to obtain the pollution detection model.

In a fourth implementation manner of the second aspect of the present invention, the first determining module includes: the analysis unit is used for analyzing the form rule to obtain an item form requirement corresponding to each information item, wherein the item form requirement comprises a field form requirement and a request form requirement; the first judging unit is used for judging whether the field meets the field form requirement or not; judging whether the platform information request meets the request form requirement or not; if the two are satisfied, outputting a judgment result of satisfaction; if not, outputting the judgment result as unsatisfied.

In a fifth implementation manner of the second aspect of the present invention, the second determining module includes: the searching unit is used for searching the corresponding arbitration type in a preset arbitration type set by taking the field as an index; a determining unit, configured to determine the platform information requirement and the evidence information requirement according to the arbitration type; the second judgment unit is used for extracting logistics time and logistics states from the platform information and judging whether the logistics time and the logistics states meet the requirements of the platform information; extracting corresponding evidence information from the information content, and judging whether the evidence information meets the evidence information requirement; if the two are met, outputting a judgment result of yes; if not, outputting the judgment result of no.

In a sixth implementation form of the second aspect of the invention, the third generating module comprises: a fourth extraction unit configured to extract the notification object from the platform information; the generating unit is used for determining the corresponding rule identification and the examination result according to the essential requirement of the project and generating the examination part based on the rule identification and the examination result; the packaging unit is used for packaging the work order identification, the notification object and the examination part into the examination notice book and transmitting the examination notice book to the logistics information platform; and the sending unit is used for sending the examination notice to the notice object through the logistics information platform.

A third aspect of the present invention provides a computer apparatus comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the computer device to perform the steps of the logistics arbitration single-processing 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-mentioned logistics arbitration single-processing method.

In the technical scheme of the invention, the method specifically comprises the steps of obtaining a logistics arbitration list, and reading a work order identifier and a work order type from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the virtual rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and a checking result according to the project virtual requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the checking result; determining corresponding information items, information extraction modes and arbitration rules through the work order types, extracting information contents corresponding to the information items from the logistics arbitration list according to the information extraction modes, sequentially judging whether the information contents meet form rules and substantive rules in the arbitration rules, if so, determining corresponding rule identifications and examination results according to the item substantive requirements in the arbitration rules, generating a processing scheme of the logistics arbitration list according to the information contents, the rule identifications and the examination results, and finishing the processing of the logistics arbitration list; in the processing process, whether the arbitration rules are met or not can be judged based on the information extracted from the logistics arbitration list, and a corresponding processing result is generated, so that the automatic processing of the logistics arbitration list is realized; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

Drawings

FIG. 1 is a schematic diagram of a first embodiment of a method for arbitrating single processing for logistics according to an embodiment of the present invention;

FIG. 2 is a diagram of a second embodiment of a method for arbitrating logistics list processing according to the embodiment of the invention;

FIG. 3 is a schematic diagram of an embodiment of a logistic arbitration single-processing device according to the embodiment of the present invention;

FIG. 4 is a schematic diagram of another embodiment of a logistics arbitration single-processing apparatus according to the embodiment of the present invention;

fig. 5 is a schematic diagram of an embodiment of a computer device in the embodiment of the present invention.

Detailed Description

In order to solve the problem that the logistics arbitration list cannot be automatically processed in the prior art, the application provides a method, a device, equipment and a storage medium for processing the logistics arbitration list. The method comprises the steps of obtaining a logistics arbitration list, and reading a work order identifier and a work order type from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the virtual rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and a checking result according to the project virtual requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the checking result; determining corresponding information items, information extraction modes and arbitration rules through the work order types, extracting information contents corresponding to the information items from the logistics arbitration list according to the information extraction modes, sequentially judging whether the information contents meet form rules and substantive rules in the arbitration rules, if so, determining corresponding rule identifications and examination results according to the item substantive requirements in the arbitration rules, generating a processing scheme of the logistics arbitration list according to the information contents, the rule identifications and the examination results, and finishing the processing of the logistics arbitration list; in the processing process, whether the arbitration rules are met or not can be judged based on the information extracted from the logistics arbitration list, and a corresponding processing result is generated, so that the automatic processing of the logistics arbitration list is realized; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

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. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, 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.

For convenience of understanding, a specific flow of the embodiment of the present invention is described below, and referring to fig. 1, a first embodiment of a method for processing a logistics arbitration list in the embodiment of the present invention is implemented by the following steps:

101. acquiring a logistics arbitration list, and reading a work order identifier and a work order type from the logistics arbitration list;

in the step, the work order types comprise loss, pollution, damage, shortage, delivery delay, distribution center delay and expense;

the expense category comprises the brand name of the guaranteed goods, weight report, high price of common goods, complaints of the guaranteed goods and loss of the guaranteed goods;

for this step, it can be specifically realized by the following means:

acquiring the logistics arbitration list from a preset logistics information platform, wherein the logistics arbitration list is provided with an identification field;

reading the value of the identification field, and converting the value into a preset work order identification format to obtain the work order identification;

and determining the corresponding work order type in a preset work order type table according to the identification field.

102. Determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode;

in this step, the information item at least includes a field name, a platform information request and an evidence item, and the information content at least includes a field, platform information and evidence information;

in this step, the process of determining the corresponding information item and information extraction manner according to the work order type includes:

determining a corresponding information item in a preset information item table according to the work order type;

and determining a corresponding information extraction mode in a preset information extraction mode table according to the work order type.

In this step, the process of extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction method includes:

determining a field name identification position according to the information extraction mode, and identifying the field name from the logistics arbitration list according to the field name identification position;

extracting a field corresponding to the field name;

determining a request identifier according to the information extraction mode;

searching the request identification in the logistics arbitration list, and acquiring an identification extraction position corresponding to the request identification;

according to the identification extraction position, extracting a platform information request corresponding to the request identification from the logistics arbitration list;

sending the platform information request to the logistics information platform;

and reading the platform information corresponding to the platform information request on the logistics information platform.

103. Determining a corresponding arbitration rule according to the work order type, wherein the arbitration rule comprises a form rule and a substantive rule;

for this step, it can be specifically realized by the following means:

and determining a corresponding arbitration rule in a preset arbitration rule table according to the work order type.

In practical applications, the arbitration rules table includes at least the following data:

arbitration type, statement type, responsible party, additional assessment, additional credit assessment, acceptance fee, delay days, victim refund and conclusion;

the delay of a distribution center in the return of the victim is equal to five percent of the assessment amount;

the loss is equal to the assessment amount plus the additional assessment amount;

damage, pollution, shortage, expense and the like are equal to the examination amount.

104. Judging whether the information content meets the form rule;

in this step, the form rule includes an item form requirement corresponding to each information item, where the item form requirement includes a field form requirement and a request form requirement;

in this step, the field type requirement includes a field length requirement and a field type requirement, for example, the field length requirement may be set to "the field has at least 10 characters", the field type requirement may be set to "the field is in the form of a string" or "the field includes at least a readable numerical value";

for this step, it can be specifically realized by the following manner:

analyzing the form rule to obtain an item form requirement corresponding to each information item, wherein the item form requirement comprises a field form requirement and a request form requirement;

analyzing the field to obtain the field length and the field type;

judging whether the field type meets the field type requirement or not;

if the field type requirement is not met, outputting a judgment result that the field type requirement is not met;

if the field type requirement is met, judging whether the field length meets the field length requirement or not;

if the field length requirement is not met, outputting a judgment result that the field length requirement is not met;

if the field length requirement is met, judging whether the platform information request meets the request form requirement;

if the request form requirement is not met, outputting a judgment result that the request form requirement is not met;

and if the request form requirement is met, outputting a judgment result of meeting.

105. If the formal rule is not satisfied, performing formal audit on the information content based on the formal rule to generate a formal processing result;

for this step, it can be specifically realized by the following manner:

extracting information content corresponding to the information item and item form requirements corresponding to the information item;

and storing the information content and the project form according to the corresponding relation between the information content and the project form requirement to obtain the form processing result.

In practical applications, the steps further include:

transmitting the form processing result to the logistics information platform;

and outputting the form processing result through the logistics information platform.

106. If the form rule is satisfied, judging whether the information content satisfies a substantial rule, wherein the substantial rule comprises an item substantial requirement corresponding to the information item;

in this step, the information content includes a field, platform information and evidence information, wherein the evidence information at least includes an evidence picture, express delivery weight and continuation weight;

in this step, the project substance requirement includes a platform information requirement and an evidence information requirement;

for this step, it can be specifically realized by the following means:

searching in a preset arbitration type set by taking the field as an index, and acquiring a matched arbitration type;

determining a corresponding platform information requirement in a preset platform information requirement table according to the arbitration type, wherein the platform information requirement comprises a logistics time requirement and a logistics state requirement, for example, the logistics time requirement comprises a dispatching-required date, and the logistics state requirement comprises a plurality of pieces which are not a batch;

extracting logistics time and logistics state from the platform information, and judging whether the logistics time and the logistics state meet the platform information requirement, wherein the logistics time comprises a delivery date, and the logistics state comprises a batch of single pieces and a batch of multiple pieces;

determining a corresponding evidence information requirement in a preset evidence information requirement table according to the arbitration type;

judging whether the evidence information meets the evidence information requirement or not, wherein the evidence information requirement at least comprises a comparison picture and a weight requirement;

if the two are met, outputting a judgment result of yes;

if not, outputting the judgment result as no.

Further, the process of determining whether the evidence information meets the evidence information requirement includes:

respectively comparing the evidence picture with all the comparison pictures through a pre-trained picture similarity comparison model to obtain similarity;

judging whether the similarity is greater than a preset similarity threshold value or not;

judging whether the express delivery weight and the follow-up weight meet the weight requirement or not;

if yes, outputting a judgment result of satisfaction;

if not, outputting the judgment result as unsatisfied.

In practical applications, the evidence information requirement can also be obtained by:

determining a corresponding evidence requirement identifier in a preset evidence requirement identifier table according to the arbitration type;

generating an evidence requirement request based on the evidence requirement identification, and transmitting the evidence requirement request to the logistics information platform;

and reading the corresponding comparison picture required by the evidence request from the logistics information platform.

107. If the substantive rule is not satisfied, performing substantive audit on the information content based on the substantive rule to generate a substantive processing result;

for this step, it can be specifically realized by the following means:

extracting information content corresponding to the information item and an item substantive requirement corresponding to the information item;

and storing the information content and the project substance according to the corresponding relation between the information content and the project substance requirement to obtain the substance processing result.

In practical application, the steps further comprise:

transmitting the substantial processing result to the logistics information platform;

and outputting the substantial processing result through the logistics information platform.

108. If the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result.

Wherein, the substantive rule comprises a rule identification and a treatment result, and the processing scheme comprises a treatment notice, wherein the treatment notice comprises an information content part, a notice object and a treatment part;

for this step, it can be specifically realized by the following manner:

extracting the notification object from the platform information, wherein the notification object comprises a responsibility company, a responsibility party name and a responsibility party telephone;

determining a corresponding rule identifier in a preset rule identifier table according to the essential requirement of the project;

determining a corresponding examination result in a preset examination result table according to the rule identification, wherein the examination result comprises an assessment amount, a credit assessment amount and a victim refund amount;

generating the examination part based on the rule identification and the examination result, for example, connecting the rule identification and the corresponding examination result by using a separator to obtain the examination part;

encapsulating the work order identification, the notification object and the examination handling part into the examination handling notification book;

transmitting the examination notice to the logistics information platform;

and sending the examination notice to the notice object through the logistics information platform.

In practical applications, the examination notice may be in the following format:

according to XXXXXXXX, you company examination, assessment of XXX element, add credit assessment of XXX element, victim return of XXX element.

By implementing the method, the logistics arbitration list is obtained, and the work order identification and the work order type are read from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result; determining corresponding information items, information extraction modes and arbitration rules through the work order types, extracting information contents corresponding to the information items from the logistics arbitration list according to the information extraction modes, sequentially judging whether the information contents meet form rules and substantive rules in the arbitration rules, if so, determining corresponding rule identifications and examination results according to the item substantive requirements in the arbitration rules, generating a processing scheme of the logistics arbitration list according to the information contents, the rule identifications and the examination results, and finishing the processing of the logistics arbitration list; in the judging process, corresponding information is extracted from a preset logistics information platform, and judgment of the arbitration rule is carried out by combining the information, so that the judging accuracy is improved; in the processing process, whether the arbitration rules are met or not can be judged based on the information extracted from the logistics arbitration list, and a corresponding processing result is generated, so that the automatic processing of the logistics arbitration list is realized; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

Referring to fig. 2, a second embodiment of the method for processing a logistics arbitration list according to the embodiment of the present invention includes the following steps:

201. acquiring a logistics arbitration list, and reading a work order identifier and a work order type from the logistics arbitration list;

this step is substantially the same as step 101 in the previous embodiment, and therefore, is not described herein again.

202. Determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode;

in this step, the information item includes a field name, a platform information request, and an evidence item, where information content corresponding to the field name is a field, information content corresponding to the platform information request is platform information, and information content corresponding to the evidence item includes an evidence picture and evidence information;

in the step, the evidence information comprises express delivery damage information and express delivery pollution information;

determining an evidence identifier corresponding to the evidence item according to the information extraction mode, wherein the evidence identifier at least comprises a damaged evidence identifier and a polluted evidence identifier;

searching the evidence identification in the logistics arbitration list, and determining a picture extraction position through the matched evidence identification;

extracting the evidence picture from the picture extraction position in the logistics arbitration list;

detecting the evidence picture through a pre-trained damage detection model to obtain the express delivery damage information;

detecting the evidence picture through a pre-trained pollution detection model to obtain the express pollution information;

further, the damage detection model is trained in the following way:

the method comprises the steps of obtaining express damage data and corresponding damage marking data, and constructing an express damage data set based on the express damage data and the corresponding damage marking data;

inputting data in the express delivery damage data set to a preset first neural network model for training to obtain a first training result, for example, the first neural network model may adopt a Back Propagation (BP) neural network model;

calculating a first loss value through a cross entropy function according to the first training result;

modifying parameters in the first neural network model according to the first loss value, and recording parameter characteristics of the first neural network model;

circularly inputting data in the express delivery damage data set to the first neural network model for training according to a preset circular input mode until the corresponding first loss value and the corresponding parameter characteristic meet a preset standard to obtain the damage detection model;

specifically, the process of inputting the data in the express delivery damage data set to the first neural network model in a circulating manner according to a preset circulating input mode includes:

splitting the express delivery damage data set into training data and verification data according to a preset proportion, for example, according to a proportion of 9 to 1;

inputting the training data into the first neural network model for training according to preset times, for example, according to the times of 20 times;

inputting the verification data into the first neural network model for training to obtain a first verification loss value and a corresponding first verification parameter characteristic;

determining whether the first verification loss value and the corresponding first verification parameter characteristic meet a preset criterion, for example, the preset criterion may be: the loss value is less than 0.6;

if not, repeating the training process;

and if so, obtaining the damage detection model.

Further, the pollution detection model is trained in the following way:

the method comprises the steps of obtaining express pollution data and corresponding pollution marking data, and constructing an express pollution data set based on the express pollution data and the corresponding pollution marking data;

inputting the data in the express pollution data set into a preset second neural network model for training to obtain a second training result;

calculating a second loss value through a cross entropy function according to the second training result;

modifying parameters in the second neural network model according to the second loss value, and recording parameter characteristics of the second neural network model;

circularly inputting the data in the express pollution data set into the second neural network model for training until the corresponding second loss value and the corresponding parameter characteristic meet preset standards to obtain the pollution detection model;

specifically, the process of inputting the data in the express delivery pollution data set to the second neural network model for training in a circulating manner according to a preset circulating input mode includes:

splitting the express pollution data set into training data and verification data according to a preset proportion, for example, according to a proportion of 9 to 1;

inputting the training data into the second neural network model for training according to preset times, for example, according to the times of 20 times;

inputting the verification data into the second neural network model for training to obtain a second verification loss value and a corresponding second verification parameter characteristic;

determining whether the second verification loss value and the corresponding second verification parameter characteristic meet a preset criterion, for example, the preset criterion may be: the loss value is less than 0.6;

if not, repeating the training process;

and if so, obtaining the pollution detection model.

In practical applications, after the extracting the evidence picture from the picture extracting position in the logistics arbitration list, the step further includes:

analyzing the evidence picture to obtain a picture format and a picture size;

determining whether the picture format meets a preset picture processing requirement, for example, the picture processing requirement may be set as: at least one of JPEG, TIFF, RAW, BMP, GIF, and PNG;

if not, converting the evidence picture into a preset standard picture format;

determining whether the picture size is larger than a set picture size threshold, for example, the picture size threshold may be set to 1MB (megabyte);

and if not, compressing the evidence picture into a preset standard picture size.

203. Determining a corresponding arbitration rule according to the work order type, wherein the arbitration rule comprises a form rule and a substantive rule;

this step is substantially the same as step 103 in the previous embodiment, and therefore, is not described herein again.

204. Judging whether the information content meets the form rule;

in this step, the form rule includes a project form requirement, and the project form requirement corresponding to the evidence project is an evidence form requirement, where the evidence form requirement includes a format requirement and a size requirement;

for this step, it can be specifically realized by the following means:

judging to analyze the evidence picture to obtain the picture format and the picture size;

determining whether the picture format meets the format requirement;

if not, converting the evidence picture into a preset standard picture format;

judging whether the size of the picture meets a set size requirement or not;

if the two are met, outputting a judgment result as being met;

if not, outputting the judgment result as unsatisfied.

205. If not, generating a form processing result according to the information content and the form rule, and outputting the form processing result;

in the step, the form processing result comprises an information content part and a picture processing part;

in this step, the process of generating the form processing result according to the information content and the form rule includes:

copying the information content and the form rule to the information content part;

generating the picture processing portion based on the picture format, the picture size, the format requirement, and the size requirement.

206. If yes, judging whether the information content meets the essential rule;

wherein the substantive rule comprises a project substantive requirement, wherein the project substantive requirement comprises an evidence requirement;

for this step, it can be specifically realized by the following means:

determining the evidence requirement according to the work order type, wherein the evidence requirement comprises a breakage requirement and a pollution requirement;

if the evidence requirement is determined to be a breakage requirement, analyzing the express breakage information to obtain a breakage index, and judging whether the breakage index meets the breakage requirement;

if the damage requirement is met, outputting a judgment result as yes;

if the damage requirement is not met, outputting a judgment result of no;

if the evidence requirement is determined to be a pollution requirement, analyzing the express pollution information to obtain a pollution index, and judging whether the pollution index meets the pollution requirement;

if the pollution requirement is met, outputting a judgment result of yes;

if the pollution requirement is not met, outputting a judgment result of no.

207. If not, generating a substantial processing result according to the information content and the substantial rule, and outputting the substantial processing result;

wherein the substance processing result comprises a second information content part and a substance judging part;

in this step, the process of generating a substantial processing result according to the information content and the substantial rule includes:

if the evidence requirement is determined to be a breakage requirement, copying the information content and the substantive rule to the second information content part, and generating the substantive judgment part based on the breakage index and the breakage requirement;

if the evidence requirement is determined to be a contamination requirement, copying the information content and the substantive rule to the second information content portion, and generating the substantive judgment portion based on the contamination index and the contamination requirement.

208. If the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result.

This step is substantially the same as step 108 in the previous embodiment, and therefore will not be described herein again.

By implementing the method, the logistics arbitration list is obtained, and the work order identification and the work order type are read from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result; determining corresponding information items, information extraction modes and arbitration rules through the work order types, extracting information contents corresponding to the information items from the logistics arbitration list according to the information extraction modes, sequentially judging whether the information contents meet form rules and substantive rules in the arbitration rules, if so, determining corresponding rule identifications and examination results according to the item substantive requirements in the arbitration rules, generating a processing scheme of the logistics arbitration list according to the information contents, the rule identifications and the examination results, and finishing the processing of the logistics arbitration list; in the process of extracting information from the logistics arbitration list, the evidence picture is identified through a preset neural network model, so that the accuracy of information extraction is improved; in the judging process, corresponding information is extracted from a preset logistics information platform, and judgment of the arbitration rule is carried out by combining the information, so that the judging accuracy is improved; in the processing process, whether the arbitration rules are met or not can be judged based on the information extracted from the logistics arbitration list, and a corresponding processing result is generated, so that the automatic processing of the logistics arbitration list is realized; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

With reference to fig. 3, the method for processing a logistics arbitration list in the embodiment of the present invention is described above, and a logistics arbitration list processing apparatus in the embodiment of the present invention is described below, where the apparatus in an embodiment of the logistics arbitration list processing apparatus in the embodiment of the present invention includes:

an obtaining module 301, configured to obtain a logistics arbitration list, and read a work order identifier and a work order type from the logistics arbitration list;

an extracting module 302, configured to determine a corresponding information item and an information extraction manner according to the work order type, and extract information content corresponding to the information item from the logistics arbitration list according to the information extraction manner;

a determining module 303, configured to determine a corresponding arbitration rule according to the work order type, where the arbitration rule includes a form rule and a substantive rule;

a first judging module 304, configured to judge whether the information content satisfies the formal rule;

a first generating module 305, configured to perform formal audit on the information content based on the formal rule when the formal rule is not satisfied, and generate a formal processing result;

a second determining module 306, configured to determine whether the information content meets the substantive rule when the formal rule is met, where the substantive rule includes an item substantive requirement corresponding to the information item;

a second generating module 307, configured to, if the substantive rule is not satisfied, perform substantive review on the information content based on the substantive rule, and generate a substantive processing result;

a third generating module 308, configured to determine a notification object according to the information content when the substantive rule is satisfied, determine a corresponding rule identifier and the examination result according to the project substantive requirement, and generate a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier, and the examination result.

By implementing the device, a logistics arbitration list is obtained, and a work order identifier and a work order type are read from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule or not; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result; determining corresponding information items, information extraction modes and arbitration rules through the work order types, extracting information contents corresponding to the information items from the logistics arbitration list according to the information extraction modes, sequentially judging whether the information contents meet form rules and substantive rules in the arbitration rules, if so, determining corresponding rule identifications and examination results according to the item substantive requirements in the arbitration rules, generating a processing scheme of the logistics arbitration list according to the information contents, the rule identifications and the examination results, and finishing the processing of the logistics arbitration list; in the processing process, whether the arbitration rules are met or not can be judged based on the information extracted from the logistics arbitration list, and a corresponding processing result is generated, so that the automatic processing of the logistics arbitration list is realized; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

Referring to fig. 4, another embodiment of the logistics arbitration single-processing apparatus in the embodiment of the present invention includes:

the model training module 309 is configured to obtain the express delivery damage data and the corresponding damage marking data, and construct an express delivery damage data set based on the express delivery damage data and the corresponding damage marking data; inputting the data in the express delivery damage data set into a preset first neural network model for training to obtain a first training result; calculating a first loss value through a cross entropy function according to the first training result; modifying parameters in the first neural network model according to the first loss value, and recording parameter characteristics of the first neural network model; circularly inputting data in the express delivery damage data set to the first neural network model for training until the corresponding first loss value and the corresponding parameter characteristic meet preset standards to obtain the damage detection model; the method comprises the steps of obtaining express pollution data and corresponding pollution marking data, and constructing an express pollution data set based on the express pollution data and the corresponding pollution marking data; inputting the data in the express pollution data set into a preset second neural network model for training to obtain a second training result; calculating a second loss value through a cross entropy function according to the second training result; modifying parameters in the second neural network model according to the second loss value, and recording parameter characteristics of the second neural network model; circularly inputting the data in the express pollution data set into the second neural network model for training until the corresponding second loss value and the corresponding parameter characteristic meet preset standards to obtain the pollution detection model;

a second generating module 307, configured to perform a substantial audit on the information content based on the substantial rule when the substantial rule is not satisfied, and generate a substantial processing result;

In this embodiment, the extracting module 302 includes:

an identifying unit 3021 configured to identify the field name from the logistics arbitration ticket;

a first extracting unit 3022, configured to extract a field corresponding to the field name;

a second extracting unit 3023, configured to determine a request identifier according to the information extraction manner, and extract a platform information request corresponding to the request identifier from the logistics arbitration list according to the request identifier;

a reading unit 3024, configured to read, on a preset logistics information platform, platform information corresponding to the platform information request;

a third extracting unit 3025, configured to determine an evidence identifier corresponding to the evidence item according to the information extraction manner, and extract the evidence picture from the logistics arbitration sheet according to the evidence identifier;

the detecting unit 3026 is configured to detect the evidence picture through a pre-trained picture detection model, so as to obtain the express delivery damage information and the express delivery pollution information.

In this embodiment, the first determining module 304 includes:

an analyzing unit 3041, configured to analyze the form rule to obtain an item form requirement corresponding to each information item, where the item form requirement includes a field form requirement and a request form requirement;

a first judging unit 3042, configured to judge whether the field meets the field form requirement; judging whether the platform information request meets the request form requirement or not; if the two are met, outputting a judgment result as being met; if not, outputting the judgment result as unsatisfied.

In this embodiment, the second determining module 306 includes:

a search unit 3061, configured to search, using the field as an index, a corresponding arbitration type in a preset arbitration type set;

a determining unit 3062, configured to determine the platform information requirement and the evidence information requirement according to the arbitration type;

a second determination unit 3063, configured to extract a logistics time and a logistics state from the platform information, and determine whether the logistics time and the logistics state meet the requirement of the platform information; extracting corresponding evidence information from the information content, and judging whether the evidence information meets the evidence information requirement; if the two are met, outputting a judgment result of yes; if not, outputting the judgment result as no.

In this embodiment, the third generating module 308 includes:

a fourth extracting unit 3081 for extracting the notification object from the platform information;

the generating unit 3082 is configured to determine the corresponding rule identifier and the examination result according to the substantive requirement of the project, and generate the examination part based on the rule identifier and the examination result;

the packaging unit 3083 is used for packaging the work order identifier, the notification object and the examination part into the examination notice book and transmitting the examination notice book to the logistics information platform;

the sending unit 3084 is configured to send the examination notice to the notice object through the logistics information platform.

Through the implementation of the device, the logistics arbitration list is obtained, and the work order identification and the work order type are read from the logistics arbitration list; determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode; determining a corresponding arbitration rule according to the work order type; judging whether the information content meets the form rule; if the form rule is satisfied, judging whether the information content satisfies the essential rule; if the fact rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and an examination result according to the project fact requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination result; determining corresponding information items, information extraction modes and arbitration rules through the work order types, extracting information contents corresponding to the information items from the logistics arbitration list according to the information extraction modes, sequentially judging whether the information contents meet form rules and substantive rules in the arbitration rules, if so, determining corresponding rule identifications and examination results according to the item substantive requirements in the arbitration rules, generating a processing scheme of the logistics arbitration list according to the information contents, the rule identifications and the examination results, and finishing the processing of the logistics arbitration list; in the processing process, whether the arbitration rules are met or not can be judged based on the information extracted from the logistics arbitration list, and a corresponding processing result is generated, so that the automatic processing of the logistics arbitration list is realized; therefore, the problem that the logistics arbitration list cannot be automatically processed in the prior art is solved.

Referring to fig. 5, an embodiment of a computer device according to an embodiment of the present invention will be described in detail from the perspective of hardware processing.

Fig. 5 is a schematic diagram of a computer device 500, which may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) for storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a sequence of instructions operating on the computer device 500. Further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the computer device 500.

The computer device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows Server, mac OS X, unix, linux, freeBSD, and the like. Those skilled in the art will appreciate that the computer device configuration illustrated in FIG. 5 is not intended to be limiting of the computer devices provided herein and may include more or fewer components than those illustrated, or some components may be combined, 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, and when the instructions are executed on a computer, the instructions cause the computer to execute the steps of the logistics arbitration single-processing method.

In practical applications, the above-provided method can be implemented based on Artificial Intelligence (AI) which is a theory, method, technique and application system that simulates, extends and expands human Intelligence, senses environment, acquires knowledge and uses knowledge to obtain the best result by using a digital computer or a machine controlled by a digital computer. The cloud server may be implemented based on a server, and the server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described 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 embodiments are only used to illustrate the technical solution of the present invention, and not to limit 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 logistics arbitration list processing method is characterized by comprising the following steps:

acquiring a logistics arbitration list, and reading a work order identifier and a work order type from the logistics arbitration list;

determining a corresponding information item and an information extraction mode according to the work order type, and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode;

determining a corresponding arbitration rule according to the work order type, wherein the arbitration rule comprises a form rule and a substantive rule;

judging whether the information content meets the form rule;

if the formal rule is not satisfied, performing formal audit on the information content based on the formal rule to generate a formal processing result;

if the form rule is satisfied, judging whether the information content satisfies the substantive rule, wherein the substantive rule comprises an item substantive requirement corresponding to the information item;

if the substantive rule is not satisfied, performing substantive audit on the information content based on the substantive rule to generate a substantive processing result;

if the substantive rule is met, determining a notification object according to the information content, determining a corresponding rule identifier and a test result according to the project substantive requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the test result.

2. The logistics arbitration single-processing method according to claim 1, wherein the information items comprise at least field names and platform information requests, and the information content comprises at least field and platform information;

the extracting the information content corresponding to the information item from the logistics arbitration list according to the information extraction mode comprises the following steps:

identifying the field name from the logistics arbitration ticket;

extracting a field corresponding to the field name;

determining a request identifier according to the information extraction mode, and extracting a platform information request corresponding to the request identifier from the logistics arbitration list according to the request identifier;

and reading platform information corresponding to the platform information request on a preset logistics information platform.

3. The logistics arbitration ticket processing method according to claim 2, wherein the information items further comprise evidence items, the information content further comprises evidence pictures and evidence information, wherein the evidence information comprises express delivery breakage information and express delivery pollution information;

the extracting the information content corresponding to the information item from the logistics arbitration list according to the information extracting manner further comprises:

determining an evidence identifier corresponding to the evidence item according to the information extraction mode, and extracting the evidence picture from the logistics arbitration list according to the evidence identifier;

and detecting the evidence picture through a pre-trained picture detection model to obtain the express delivery damage information and the express delivery pollution information.

4. The logistics arbitration single-processing method according to claim 3, wherein the picture detection model comprises a breakage detection model and a pollution detection model;

the method comprises the following steps of detecting an evidence picture through a pre-trained picture detection model to obtain express delivery damage information and express delivery pollution information, and further comprising the following steps:

inputting the data in the express delivery damage data set into a preset first neural network model for training to obtain a first training result;

circularly inputting data in the express delivery damage data set to the first neural network model for training until the corresponding first loss value and the corresponding parameter characteristic meet a preset standard to obtain the damage detection model;

and circularly inputting the data in the express pollution data set into the second neural network model for training until the corresponding second loss value and the corresponding parameter characteristic meet preset standards to obtain the pollution detection model.

5. The method as claimed in claim 2, wherein said determining whether the information content satisfies the formal rule comprises:

judging whether the field meets the field form requirement;

judging whether the platform information request meets the request form requirement or not;

if the two are met, outputting a judgment result as being met;

if not, outputting the judgment result as unsatisfied.

6. The logistics arbitration single-processing method according to any one of claims 2-5, wherein the project substance requirements comprise platform information requirements and evidence information requirements;

the determining whether the information content satisfies the substantive rule includes:

searching a corresponding arbitration type in a preset arbitration type set by taking the field as an index;

determining the platform information requirement and the evidence information requirement according to the arbitration type;

extracting logistics time and logistics state from the platform information, and judging whether the logistics time and the logistics state meet the requirements of the platform information;

extracting corresponding evidence information from the information content, and judging whether the evidence information meets the evidence information requirement;

if the two are met, outputting a judgment result of yes;

if not, outputting the judgment result as no.

7. The logistics arbitration single-processing method according to claim 6, wherein the substantive rule comprises a rule identification and a prescription result, and the processing scheme comprises a prescription notice, wherein the prescription notice comprises a notice object and a prescription part;

the determining a notification object according to the information content, determining a corresponding rule identifier and the examination result according to the project substantive requirement, and generating a processing result corresponding to the logistics arbitration sheet based on the work order identifier, the notification object, the rule identifier and the examination result includes:

extracting the notification object from the platform information;

determining the corresponding rule identification and the examination result according to the project substantive requirement, and generating the examination part based on the rule identification and the examination result;

encapsulating the work order identification, the notification object and the examination part into the examination notice book and transmitting the examination notice book to the logistics information platform;

8. A logistics arbitration sheet processing apparatus, said apparatus comprising:

the acquisition module is used for acquiring a logistics arbitration list and reading a work order identifier and a work order type from the logistics arbitration list;

the extraction module is used for determining a corresponding information item and an information extraction mode according to the work order type and extracting information content corresponding to the information item from the logistics arbitration list according to the information extraction mode;

the determining module is used for determining a corresponding arbitration rule according to the work order type, wherein the arbitration rule comprises a form rule and a substantive rule;

the first judgment module is used for judging whether the information content meets the form rule or not;

the first generation module is used for performing formal audit on the information content based on the formal rule and generating a formal processing result when the formal rule is not satisfied;

a second judging module, configured to judge whether the information content satisfies the substantive rule when the form rule is satisfied, where the substantive rule includes an item substantive requirement corresponding to the information item;

the second generation module is used for performing substantial examination on the information content based on the substantial rule and generating a substantial processing result when the substantial rule is not satisfied;

and the third generation module is used for determining a notification object according to the information content when the substantive rule is met, determining a corresponding rule identifier and the examination dealing result according to the project substantive requirement, and generating a processing result corresponding to the logistics arbitration list based on the work order identifier, the notification object, the rule identifier and the examination dealing result.

9. A computer 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 invokes the instructions in the memory to cause the computer device to perform the steps of the logistics arbitration single-processing method of any of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the logistics arbitration ticket processing method according to any one of claims 1-7.