CN111899132B - Method for automatically identifying case not found in specified period - Google Patents
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Abstract
The invention discloses a method for automatically identifying cases not found in a specified period, which comprises three steps of rule configuration, automatic research and judgment and front end presentation, wherein the automatic catalogue document classification is realized through OCR text recognition, data is extracted according to structural elements, the automatic research and judgment of a rule engine is realized, and illegal situations, laws and regulations, supervision points and early warning levels are presented in a visual mode. The invention automatically recognizes the illegal situation and carries out risk early warning, thereby helping the inspector to quickly master the illegal fact of the case, greatly saving the time and energy of the inspector for case handling and improving the case handling efficiency.
Description
Technical Field
The invention relates to a method for automatically identifying cases, in particular to a method for automatically identifying cases which accord with complaint conditions and are not found in a specified period.
Background
In order to realize each link of civil litigation, the litigation rights of the parties are practically ensured, and the illegal act that the legal court is not on the appointed term is the content of the important supervision of the illegal act of the judge in the judging process. When the principal has the prosecution condition, if the court is out of operation, the crime is out of date, the rights and interests of the principal are damaged. Conventionally, a inspector finds out that such illegal actions are mainly handled by principal complaints and by means of manual recording and verification, which requires a lot of effort, and is long in handling time and prone to errors. At present, with the development of sudden flight of big data and artificial intelligence technology, the advanced technology and civil inspection and supervision business are deeply fused, and by processing and intelligently studying and judging data of massive volumes, the inspection authorities find illegal processes according to the authority, but due to the fact that regional differences exist in the writing of files in courts and the fact that the inspection procedures of one, two, and re-inspection are complex, no method or system capable of automatically identifying the records meeting the prosecution condition from the records is not found in the appointed period is provided, so that the method for automatically identifying the records meeting the prosecution condition is not found in the appointed period is provided, the standardization of the legal management in the court inspection process is greatly promoted, and the time and energy of the inspection authorities are greatly saved.
Disclosure of Invention
In order to solve the defects of the technology, the invention provides a method for automatically identifying cases not to be on a project within a specified period.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for automatically identifying cases not found in a specified period comprises three steps of rule configuration, automatic research and judgment and front end presentation, and the specific operation steps are as follows:
step one: configuring the structured element extraction rule into a database; configuring names, laws and regulations and early warning levels corresponding to illegal situations into a database; configuring the judging rule into a rule engine, completing the corresponding configuration of the relationship between the rule engine and the structural element, and completing the corresponding configuration of the relationship between the rule engine rule and the illegal situation;
step two: uploading files in the civil judgment process by a system background, automatically classifying the files through OCR text recognition and documents, automatically researching and judging the files by a rule engine after extracting structural elements, and then storing case identifications hit with research and judging rules, illegal condition identifications, file identifications and structural element names into a system database;
step three: in the front-end inspection case handling page, the system dynamically presents illegal situations, supervision key points, laws and regulations and early warning levels to an inspector in a jquery layer visualization mode.
Further, the structural elements required by the rule of judging the illegal situation are extracted from the specific file document aiming at the illegal situation, and the structural element rules are stored in a system database; the structuring element comprises: a case date, and a complaint date.
Further, the extracted case structural elements are sent into a rule engine to realize automatic research and judgment, and the rule engine returns case identifiers, illegal situation identifiers, file identifiers and structural element names of hit rules to the system and stores the case identifiers, illegal situation identifiers, file identifiers and structural element names.
Further, the data processing of the input volume needs to be completed before automatic research and judgment, and the specific process of the data processing is as follows:
l001: uploading the file to a server in a system background;
l002: the file is stored in a DFS file server, the file format of the non-picture file in the file is firstly converted into jpg picture, and the jpg picture is stored in the DFS file server;
l003: the file picture data after format conversion is used as a parameter to be transmitted into an OCR text recognition interface request ForHttp (Global content. GetProperty ("OCR. Url")) which returns a json format data message;
l004: analyzing the json message returned after the OCR text recognition in the step L003 to obtain the text data of the supervision key point with xy coordinates, and storing the text data into a database;
l005: automatically cataloging, and extracting the names of the documents in the files, such as: the civil decision book and the case setting notification book are used for identifying the total number of pages of each document and the text content of the document at the same time, so that the integrity of the document is ensured;
l006: and (3) extracting the structural element content required by the research rule from the automatically catalogued document by utilizing the structural element extraction rule configured in the step (A), namely: a case date, and a complaint date;
l007: after the extraction of the structural elements is completed, pushing a message to the MQ, and notifying the completion of the data processing step.
Further, after the data processing step is completed by the recorded file, the system enters an automatic research and judgment link, and the specific process of automatic research and judgment is as follows:
s001: the automatic research and judgment subscribes to the MQ message, and when the L007 pushes the message with the data processing completed, the automatic research and judgment can acquire the message in time and enter a link;
s002: starting a rule engine by a system background, and starting to study and judge;
s003: when the system starts the rule engine, the rule configured in the first step of loading and analyzing is completed, and a research and judgment rule formula set is formed;
s004: the parameters needed in the formulas, namely, the acceptance date, the filing date and the complaint date are transmitted into a formula set of S003;
s005: executing the research rule by the rule engine;
s006: after the case hits the research and judgment rule, the data required by the subsequent links are arranged through the corresponding relation between the rule engine and the illegal situation, and the method comprises the following steps: identification of illegal situations, case identification, file identification and structured element names;
s007: and (3) transmitting the data sorted in the S006 into a system storage interface to finish data storage.
Further, the rule engine hits and studies the rule case's illegal situation identification, law and regulation, file identification, structuring element name through the coordinate data, push to the front end page, by jquery layer technology in visual mode present, namely view processing module hit and study rule case illegal situation, law and regulation, supervision main points, early warning level present in visual mode to the inspector,
further, the workflow of the view processing module is specifically:
a001: extracting case information, including information of case names, case numbers, courts and file files;
a002: according to the case identification information extracted by A001, acquiring the automatically judging stored judging result from the database, wherein the judging result comprises the following steps: the illegal situation, laws and regulations, early warning level, xy coordinates presented by the supervision essential page, and packaging and converting;
a003: the front-end controller packages the data in the steps A001 and A002 into page objects, then pushes the page objects to front-end jsp, and performs page rendering by jquery;
a004: the jquery positions the illegal situation, the early warning level and the supervision key point on the position of the supervision key point of the volume picture through xy coordinates to create a red semitransparent layer, marks the illegal content of the red semitransparent layer, thereby forming a visual mark, and finally visually observing the illegal situation, the law and the level early warning which accord with the prosecution condition and are not connected in a specified period by a inspector.
The invention discloses a method for automatically identifying cases not found in a specified period, which introduces big data, artificial intelligence and other technologies, utilizes the advanced fusion of a leading edge computer technology and civil inspection supervision service, and changes the automatic discovery of the illegal judgment process from the files into reality. According to the files in the judging process, the structural element characteristics of the files are extracted, the judging process researching rule is constructed, the illegal situation that the judging process is in accordance with the fact that the prosecution condition court is not in the appointed period is intelligently identified, the files are applied to the monitoring field of the civil inspection judging process of the inspection authorities, the illegal situation is automatically identified, risk early warning is carried out, and the files are analyzed by auxiliary inspection officers, so that the standardization of the management of the legal process in the court is greatly promoted, the time and energy of the inspection officers for handling the files are greatly saved, and the efficiency of handling the files is improved.
Drawings
Fig. 1 is a general structural diagram of the automatic recognition method of the present invention.
FIG. 2 is a flow chart of a second data processing procedure of the present invention.
FIG. 3 is a flow chart of the step two automatic studying and judging procedure of the present invention.
FIG. 4 is a flow chart of a step three action process of the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and the detailed description.
The invention discloses a method for automatically identifying cases which accord with prosecution conditions and are not on a specified period for case establishment, the overall architecture is shown in figure 1, a set of standardized structural element extraction rules and rule for rule and rule research of illegal situations which can be automatically identified are carded out through researching a large amount of files and laws and regulations in the process of judging the court, the rule and rule, supervision points and early warning level are visually presented in the process of analyzing the files by a inspector, three steps of rule configuration, automatic study and judgment and front end presentation are utilized, the illegal situations are automatically identified and risks are early warned, the inspector is assisted in analyzing the cases, the inspection and supervision functions of the inspector are fully exerted, the capability of discovering according to the authority is improved, and the case handling efficiency of the inspector is improved.
The invention provides a method for automatically identifying cases to meet prosecution conditions and not to stand up cases in a specified period by researching files and laws and regulations in a large number of judging processes of a court, and combing a set of standardized structural element extraction rules and rule for researching and judging illegal situations, wherein the method comprises the following three steps: rule configuration, automatic research and judgment and front end presentation, and specifically comprises the following steps:
step one Structure required by rule for researching and judging illegal situation of case extracted from file the elements are structured and structured element rules are stored in a system database, the structural elements comprise a case setting date, a case accepting date and a complaint receiving date; configuring names, laws and regulations and early warning levels corresponding to illegal situations into a database; configuring the research rule into a rule engine, completing the corresponding configuration of the relationship between the rule engine and the structural element, and completing the corresponding configuration of the relationship between the rule engine and the illegal situation;
uploading files in the civil judgment process by a system background, performing OCR text recognition and automatic cataloging and classifying of documents, completing automatic research and judgment by a rule engine after the structured elements are extracted, and then storing the case identifications, illegal situation identifications, file identifications and structured element names which hit research and judgment rules into a system database;
and thirdly, in the process of the inspector analyzing the case and reading the file, the system presents illegal situations, laws and regulations, supervision key points and early warning levels to the inspector in a visual mode of a jquery layer.
The method for automatically identifying cases not found in the appointed time limit disclosed by the invention is further described in detail, and the specific implementation steps comprise: rule configuration, automatic research and judgment and front end presentation, and the method specifically comprises the following steps:
step one, rule configuration
In summary, rule configurations can be divided into: configuration of illegal situations, configuration of structural elements, configuration of rule engines and configuration of relations;
(1) Illegal situation configuration: the illegal situation configuration is a process of configuring and warehousing the combed illegal situations which accord with the prosecution condition court and are not on the appointed term, and related data items in the background of the system, wherein the warehousing data items comprise:
a) Illegal situation: the court meeting the prosecution condition is not on a project at a specified time limit.
b) Law and regulation: the regulations of the first hundred twenty three of the law of litigation of the people's republic of China meet the requirements of complaints, and the principal should be informed and set aside within seven days.
c) Early warning level: severe.
(2) Configuration of structural elements: the structural elements required by the rule of studying and judging the illegal situation which accords with the prosecution condition court and is not on the appointed time limit are respectively as follows: a case date, and a complaint date. The extraction rules and sources are specifically as follows:
a) Reception date: from "civil decision" book "civil the text of the mediation book is taken as" Ben Hui I II the method is stopped from the process of ' accepting the vertical case ' after the vertical case ' accepting the present case ' to the process of ' accepting the vertical case ' in the present hospital ', the content among the keywords is converted into a date yyyy year MM month dd day format; if data in a non-date format is extracted, a null value is stored.
b) The date of the case: starting from the text of the "civil one-trial case trial flow management condition", the first matching date before "trial" is in the format of "2018, 09, 19 days"; taking the date of the first appearance from 'setting up' to 'setting up' from the text of 'recording and checking list of the declaration of the civil court', taking the date of the first appearance as '2018.9.19' or '19 days of 09 month in 2018', and removing the intermediate space.
c) Complaint date received: the method is taken from a body of 'civil one-examination case set-up examination and judgment flow information table', because the document is a table, special characters of the table, which appear after OCR recognition, need to be listed, and in the first case: date between the date (E, H, L, mouth) after the complaint four words are received; second case: date between six words of complaint date (E, H, L, mouth) and date (E, H, L, mouth); third scenario: the date between the date (E, H, L, mouth) and the date (E, H, L, mouth) after seven words of the complaint date are received. In OCR recognition, the 'day' word is recognized as characters such as E\H\L\port, and enumeration is added, so that the extracted attribute is more accurate, and a fault tolerance mechanism is increased.
And converting the rule into regular expression and storing the regular expression into a system database.
(3) The rule engine configuration, in the rule engine designer, completes the research rule configuration, and completes the rule configuration by combining logical relation operators of 'and', 'or', 'not', 'greater than', 'less than', 'equal to', 'unequal', 'greater than or equal to' and 'less than or equal to' as the condition after 'if', and adding actions according to 'then', 'otherwise'.
The rule of judgment of illegal situations which accord with the prosecution condition court and are not on the appointed time limit is as follows:
a) The document of the book of civil judgment of the book of civil regulation of the book of civil judgment of the book of case setting up examination, judge the flow information table; and "civil decision" book "civil decision book" civil reconciliation book "not being empty; and the 'civil one-examination case-setting examination and judgment flow information table' [ date of complaint receipt ] is not empty; and 365 @ civil decision @ civil reconciliation @ book @ date of acceptance @ civil examination case project examination and trial flow information table @ date of complaint @ 7 days;
b) The document of the management condition of the trial flow of the civil one-examination case exists in the document of the information table of the trial flow of the civil one-examination case for examination and trial; and "civil one-examination case trial flow management conditions" [ date of case establishment ] is not empty; and the 'civil one-examination case-setting examination and judgment flow information table' [ date of complaint receipt ] is not empty; and 365> civil one-examination case trial flow management conditions } - [ date on case setting ] - [ civil one-examination case setting examination, trial flow information table ];
c) The document 'the statement of the civil court, the statement of the result examination table', the 'the examination of the case-and-examination-and-judgment-flow information table' exists; and "the people's court claims and issues the case and checks the table" the [ date of case setting ] is not empty; and the 'civil one-examination case-setting examination and judgment flow information table' [ date of complaint receipt ] is not empty; and 365< statement of the national institute of advanced examination and review form > [ date of examination form ] judging the flow information table (the [ date of complaint reception ] for 7 days;
d) The document of the book of civil judgment of the book of civil regulation of the book of civil judgment of the book of case setting up examination, judge the flow information table; and "civil decision" book "civil decision book" civil reconciliation book "not being empty; and the 'civil one-examination case-setting examination and judgment flow information table' [ date of complaint receipt ] is not empty; and-365 < civil decision } > (civil decision) > (civil reconciliation) > (date of acceptance) > (civil case examination and examination flow information table) > (date of complaint received) > <0 days;
e) The document of the management condition of the trial flow of the civil one-examination case exists in the document of the information table of the trial flow of the civil one-examination case for examination and trial; and "civil one-examination case trial flow management conditions" [ date of case establishment ] is not empty; and the 'civil one-examination case-setting examination and judgment flow information table' [ date of complaint receipt ] is not empty; and-365 < (civil one-examination case trial flow management condition) > (date of case establishment) > (civil one-examination case establishment examination, trial flow information table) > (date of complaint received) > <0 day;
f) The document 'the statement of the civil court, the statement of the result examination table', the 'the examination of the case-and-examination-and-judgment-flow information table' exists; and "the people's court claims and issues the case and checks the table" the [ date of case setting ] is not empty; and the 'civil one-examination case-setting examination and judgment flow information table' [ date of complaint receipt ] is not empty; and-365 < (the date of filing and examination of the statement of the national institute) & gt (the date of filing and examination of the statement of the folk affairs and the flow information table of examination and judgment) & gt (the date of complaint received) & lt 0 day.
In the above-described criterion, the "||" of steps a) to f) indicates "or", and the latter condition is not judged as long as the first condition is satisfied.
In the above-described research rule, the "|" of step a) to step f) represents "or", which is different from "|" in that: "|" is to be judged for all conditions.
In the above-mentioned research rule, the "representing two documents existing in parallel" in step a) to step f) means that "the document" civil decision "in step a" |civil decision "in" civil reconciliation "in" civil decision "in" resident "in" trial-on-case examination and trial flow information table "exists" represents that "civil decision" in "and" trial-on-case examination and trial flow information table "exist simultaneously; or the folk affairs adjudication books and the folk affair one-examination case proposal examination and judgment flow information list exist at the same time; or the folk mediation book and the folk examination case examination and judgment flow information table exist simultaneously.
In the above-described rule of judgment, "step a)" to "step f)" means "as in" and "civil judgment" in step a) |civil judgment "|civil mediation" where the [ date of acceptance ] is not empty "means that the [ date of acceptance ] attribute extracted in the document" civil judgment "or" civil mediation "cannot be empty.
Step two, automatic research and judgment
The method for automatically identifying the case to meet the prosecution condition and not to project the case in the appointed term of the court needs to complete a series of operations through automatic research and judgment, and the data processing of the recorded file needs to be completed before the automatic research and judgment, and the specific process of the data processing is as shown in a data processing work flow chart of fig. 2:
l001: uploading the file to the server in the background of the system, wherein the number of books in the file is more, generally, zip compression is required, and when the file is transmitted to the server, decompression is required, and the obtained file is required to be decompressed;
l002: the file format of the file is a file with a non-picture format such as PDF, the non-picture file format is converted into jpg pictures, and the jpg pictures are stored in a DFS file server;
l003: the file picture data after format conversion is used as a parameter to be transmitted into an OCR text recognition interface request ForHttp (Global context. GetProperty ("OCR. Url")) and the interface returns a json format data message;
l004: analyzing the json message returned after the OCR text recognition in the step L003 to obtain the text data of the supervision key point with xy coordinates, and storing the text data into a database;
l005: the purpose of automatic cataloging is to extract the names of the documents in the volume, such as: the civil decision, the case setting notification and the like, and simultaneously, the total number of pages of each document and the text content of the document are identified, so that the integrity of the document is ensured;
l006: the structural element extraction rules configured in the step one are utilized to extract structural element contents required by the research rule from the automatic catalogued ' civil decision book ', ' civil reconciliation book ', ' civil one-examination case trial flow management condition ', ' civil court declaration and examination table lookup ', ' civil one-examination case examination and examination flow information table ', ' document, namely: a case date, and a complaint date;
l007: after the extraction of the structural elements is completed, pushing a message to the MQ, and notifying the completion of the data processing step.
After the data processing step of fig. 2 is completed by the recording file, the system enters an automatic research and judgment link shown in fig. 3, and the specific process of automatic research and judgment is as follows:
s001: the automatic research and judgment subscribes to the MQ message, and when the L007 pushes the message with the data processing completed, the automatic research and judgment can acquire the message in time and enter a link;
s002: starting a rule engine by a system background, and starting to study and judge;
s003: when the rule engine is started, the system finishes loading the rule configured in the analysis step, and forms a research rule formula set, such as: 365 days [ date accepted ] [ date received complaint ] [ date received ] >7 days;
s004: the parameters needed in the formulas, namely, the acceptance date, the filing date and the complaint date are transmitted into a formula set of S003;
s005: executing the research rule by the rule engine;
s006: after the case hits the research and judgment rule, the data required by the subsequent links are arranged through the corresponding relation between the rule engine and the illegal situation, and the method comprises the following steps: identification of illegal situations, case identification, file identification and structured element names;
s007: and (3) transmitting the data sorted in the S006 into a system storage interface to finish data storage.
Step three, front end presentation
The front end presentation is an important process of visually presenting the case violation situation, legal regulations, supervision key points and early warning level hit by the judging rule to the inspector by utilizing the view processing module, and the workflow of view processing is specifically shown in fig. 4, and specifically comprises the following steps:
a001: extracting case information, including information such as case names, case numbers, courts, file files and the like, for use by inspectors in analyzing case conditions;
a002: according to the case identification extracted by A001, acquiring the automatically judging stored judging result from the database, wherein the judging result comprises the following steps: the illegal situation, laws and regulations, early warning level, xy coordinates presented by the supervision essential page, and packaging and converting;
a003: the front-end controller packages the data in the steps A001 and A002 into page objects, then pushes the page objects to front-end jsp, and performs page rendering by jquery;
a004: the jquery positions the illegal situation, the early warning level and the supervision key point on the position of the supervision key point of the file picture through xy coordinates to create a red semitransparent layer and marks the illegal content of the red semitransparent layer, so that a visual mark is formed, a inspector can visually see the illegal situation, laws and regulations and the early warning level which accord with the prosecution condition and the court are not on the appointed deadline, the inspector can be assisted to quickly position the illegal point, and the efficiency of handling the file is improved.
The method for automatically identifying the cases, disclosed by the invention, accords with the method for setting up cases in the prosecution condition court in a specified period, realizes automatic cataloging document classification by OCR (optical character recognition) through the internet front edge technology, extracts data according to structural elements, and realizes automatic research and judgment of a rule engine. Compared with the prior art, the method has the following beneficial effects:
(1) According to the method, through researching a large number of files and laws and regulations in the judging process of the court, a set of standardized structural element extraction rules and rule for researching and judging illegal situations which can be automatically identified are carded, and a method for automatically identifying cases which accord with the prosecution condition and are not in the appointed term of the court is formed.
(2) The invention introduces big data, artificial intelligence and other technologies, and the front computer technology is deeply integrated with civil inspection and supervision business, so that the automatic discovery of the illegal judgment process from the files becomes reality.
(3) According to the invention, through supervision of the national institutes of civil judgment activities, the national institutes of civil judgment activities are promoted to be in compliance with the legal standards, and the strong outstanding problem reflected by people is practically solved; the supervision matters are promoted to extend from the slight illegal situation to the more advanced problems such as the illegal infraction of the judge personnel; deepening the knowledge of law supervision of judicial personnel's law of illegal use, effectively supervising the behavior of judicial personnel's law suit's law enforcement against the citizen's rights and damaging judicial law enforcement; promote and establish the long-acting mechanism of the law-breaking behavior supervision scientific development of the judge personnel; fully exert the civil inspection and supervision functions of the inspection authorities, promote the capability of discovering the authority and improve the efficiency of the inspection authorities in case of cases.
The above embodiments are not intended to limit the present invention, and the present invention is not limited to the above examples, but is also intended to be limited to the following claims.
Claims (3)
1. A method for automatically identifying cases not found within a specified period, characterized by: the method comprises three steps of rule configuration, automatic research and judgment and front end presentation, and comprises the following specific operation steps:
step one: configuring the structured element extraction rule into a database; configuring names, laws and regulations and early warning levels corresponding to illegal situations into a database; configuring the judging rule into a rule engine, completing the corresponding configuration of the relationship between the rule engine and the structural element, and completing the corresponding configuration of the relationship between the rule engine rule and the illegal situation;
step two: uploading files in the civil judgment process by a system background, automatically classifying the files through OCR text recognition and documents, automatically judging by a rule engine after extracting structural elements, and then storing case identifications hit with judging rules, illegal situation identifications, file identifications and structural element names into a system database;
step three: in the front-end inspection case handling page, the system dynamically presents illegal situations, supervision key points, laws and regulations and early warning levels to an inspector in a jquery layer visualization mode;
the method comprises the steps of extracting structural elements required by rule research and judgment of the illegal situation from a specific file document aiming at the illegal situation, and storing the rule of the structural elements in a system database; the structuring element comprises: a case date, and a complaint date;
the extracted case structural elements are sent into a rule engine to realize automatic research and judgment, and the rule engine returns case identifications, illegal situation identifications, file identifications and structural element names hit rules to the system and stores the case identifications, illegal situation identifications, file identifications and structural element names;
before automatic research and judgment, the data processing of the recorded files needs to be completed, and the specific process of the data processing is as follows:
l001: uploading the file to a server in a system background;
l002: the file is stored in a DFS file server, the file format of the non-picture file in the file is firstly converted into jpg picture, and the jpg picture is stored in the DFS file server;
l003: the file picture data after format conversion is used as parameters to be transmitted into an OCR text recognition interface requestForHttp, and the interface returns a json format data message;
l004: analyzing the json message returned after the OCR text recognition in the step L003 to obtain the text data of the supervision key point with xy coordinates, and storing the text data into a database;
l005: automatically cataloging, extracting the names of the documents in the file, and identifying the total number of pages of each document, the text content of the document and ensuring the integrity of the document;
l006: and (3) extracting the structural element content required by the research rule from the automatically catalogued document by utilizing the structural element extraction rule configured in the step (A), namely: a case date, and a complaint date;
l007: after the extraction of the structural elements is completed, pushing a message to the MQ, and informing the completion of the data processing step;
after finishing the data processing step of the recorded file, the system enters an automatic research and judgment link, and the specific process of automatic research and judgment is as follows:
s001: the automatic research and judgment subscribes to the MQ message, and when the L007 pushes the message with the data processing completed, the automatic research and judgment can acquire the message in time and enter a link;
s002: starting a rule engine by a system background, and starting to study and judge;
s003: when the system starts the rule engine, the rule configured in the first step of loading and analyzing is completed, and a research and judgment rule formula set is formed;
s004: the parameters needed in the formulas, namely, the acceptance date, the filing date and the complaint date are transmitted into a formula set of S003;
s005: executing the research rule by the rule engine;
s006: after the case hits the research and judgment rule, the data required by the subsequent links are arranged through the corresponding relation between the rule engine and the illegal situation, and the method comprises the following steps: identification of illegal situations, case identification, file identification and structured element names;
s007: and (3) transmitting the data sorted in the S006 into a system storage interface to finish data storage.
2. The method for automatically identifying cases not being finalized within a specified period of time according to claim 1, wherein: the rule engine hits and studies rule case's illegal situation identification, law regulation, file identification, structuring element name through the coordinate data, push to the front end page, present in visual mode by jquery layer technique, namely view processing module will hit and study rule case's illegal situation, law regulation, supervision main points, early warning level present in visual mode to the inspector.
3. The method for automatically recognizing that a case is not finalized within a specified period of time according to claim 2, wherein: the workflow of the view processing module is specifically as follows:
a001: extracting case information, including information of case names, case numbers, courts and file files;
a002: according to the case identification information extracted by A001, acquiring the automatically judging stored judging result from the database, wherein the judging result comprises the following steps: the illegal situation, laws and regulations, early warning level, xy coordinates presented by the supervision essential page, and packaging and converting;
a003: the front-end controller packages the data in the steps A001 and A002 into page objects, then pushes the page objects to front-end jsp, and performs page rendering by jquery;
a004: the jquery positions the illegal situation, the early warning level and the supervision key point on the position of the supervision key point of the volume picture through xy coordinates to create a red semitransparent layer, marks the illegal content of the red semitransparent layer, thereby forming a visual mark, and finally visually observing the illegal situation, the law and the level early warning which accord with the prosecution condition and are not connected in a specified period by a inspector.
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