An intelligent auditing method and system for digital files and a storage medium

Abstract

The application provides a kind of intelligent auditing method, system and storage medium for digital file, method includes: obtaining case handling signal, wherein, case handling signal includes case type;Determine the first round of case handling problem corresponding to case type, receive the case handling answer corresponding to the first round of case handling problem, based on case handling answer, the case of strong association of strong association case and weak association case in database is divided into weak association;Every time strong association case or weak association case is obtained, the next round of case handling problem is obtained from strong association case, the case handling answer corresponding to case handling problem is received, and whether case handling answer is characterized as completing case handling is judged, if yes, case recommendation end signal is generated;If no, based on case handling answer, the case of strong association of strong association case and weak association case in database is divided into weak association again.The application can improve the efficiency of case handling and reduce the influence of case handling personnel experience on case handling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of case handling, and in particular to an intelligent auditing method and system for digital files and a storage medium. BACKGROUND

[0002] The complexity of bad behavior and the unquantifiable nature of human factors determine that the handling of similar cases also needs the participation of case handling personnel to complete the handling of cases.

[0003] At the present stage, case handling personnel mainly rely on traditional experience mode to handle cases when auditing similar cases, that is, through manual review of electronic or paper materials to sort out clues, and according to personal case handling experience to judge the nature of the case and the direction of investigation. In the evidence collection link, detection equipment and visits, witnesses and other means are used. In the case of case research and judgment, more reliance is placed on collective discussion of the special case group and guidance from superiors. Although this method can complete the auditing and handling of similar cases, it takes a lot of time, making the auditing efficiency low and the experience of case handling personnel a major factor affecting the handling of cases. SUMMARY

[0004] In order to improve the efficiency of case handling and reduce the impact of case handling personnel's experience on the handling of cases, the embodiments of the present application provide an intelligent auditing method and system for digital files and a storage medium.

[0005] In a first aspect, the embodiments provide an intelligent auditing method for digital files, which comprises:

[0006] Obtaining a case handling signal, wherein the case handling signal comprises a case type;

[0007] Determining a first round of case handling questions corresponding to the case type, receiving case handling answers corresponding to the first round of case handling questions, and dividing the closed cases in the database into strongly associated closed cases and weakly associated closed cases based on the case handling answers;

[0008] Each time a strongly associated closed case or a weakly associated closed case is obtained, the next round of case handling questions is obtained from the strongly associated closed cases, the case handling answers corresponding to the case handling questions are received, and it is judged whether the case handling answers represent the completion of case handling. If so, a similar case recommendation end signal is generated;

[0009] If not, the closed cases in the database are re-divided into strongly associated closed cases and weakly associated closed cases based on the case handling answers.

[0010] In some embodiments, the case handling answer contains case information, case address and involved personnel, the strong correlation closed cases include first strong correlation closed cases, second strong correlation closed cases and third strong correlation closed cases, and the method of dividing the closed cases in the database into strong correlation closed cases and weak correlation closed cases based on the case handling answer includes:

[0011] reading the information of each closed case in the database, and determining the closed cases containing only any one of the case information, case address and involved personnel as the first strong correlation closed cases;

[0012] determining the closed cases containing only any two of the case information, case address and involved personnel as the second strong correlation closed cases;

[0013] determining the closed cases containing all of the case information, case address and involved personnel as the third strong correlation closed cases;

[0014] determining the closed cases other than the strong correlation closed cases as weak correlation cases.

[0015] In some embodiments, the method of obtaining the next round of case handling questions from the strong correlation closed cases each time a strong correlation closed case or a weak correlation closed case is obtained includes:

[0016] substituting all the obtained case handling answers into a predicted case analysis model to obtain a predicted case;

[0017] substituting the recently obtained case handling answer into the predicted case to obtain case handling progress information corresponding to the recently obtained case handling answer;

[0018] checking the reference case handling question of each strong correlation closed case in the next stage of the case handling progress information, and assigning a corresponding score to the corresponding reference case handling question according to the level to which the strong correlation closed case belongs, wherein the first strong correlation closed cases, the second strong correlation closed cases and the third strong correlation closed cases belong to different levels of cases, and each has a corresponding score;

[0019] adding all the scores belonging to the same reference case handling question to obtain the total score corresponding to the reference case handling question, and determining the maximum score, and determining the problem corresponding to the maximum score as the initial case handling question;

[0020] determining whether a supplementary question is received, if not, the initial case handling question is the next round of case handling question;

[0021] if received, the initial case handling question and the supplementary question are determined as the next round of case handling question.

[0022] In some embodiments, the method further comprises:

[0023] Upon obtaining each case handling answer, the case handling answer and the corresponding case handling question are format-verified and written into the case file corresponding to the case handling signal after verification;

[0024] If the verification fails, the case handling answer and / or the corresponding case handling question are modified in format using preset modification rules, and the modified case handling answer and / or the corresponding case handling question are written into the case file corresponding to the case handling signal;

[0025] It is determined whether all case handling questions and case handling answers are written into the case file corresponding to the case handling signal, and if so, the case file is generated with a closing information.

[0026] In some embodiments, the method further comprises:

[0027] The legal provisions involved in the predicted case are obtained, and the legal provisions are generated and pushed to the case handling personnel.

[0028] In some embodiments, the method further comprises:

[0029] Upon obtaining each predicted case, it is determined whether the predicted case deviates from the previous predicted case by more than a preset deviation, and if so, the predicted case is sent to the case handling personnel, the feedback information of the case handling personnel is received, and the predicted case is modified based on the feedback information.

[0030] In some embodiments, the method further comprises:

[0031] If the feedback information is non-blank information, the modified predicted case is fed back to the predicted case analysis model to adjust the predicted case analysis model.

[0032] In some embodiments, the method further comprises:

[0033] The question and answer request is received, and the fourth strongly associated closed cases corresponding to the question and answer request are obtained from the database.

[0034] In a second aspect, the present embodiment provides an intelligent auditing system for digital files, which comprises an acquisition module, a processing module and a recommendation module; wherein,

[0035] The acquisition module is used to acquire a case handling signal, wherein the case handling signal comprises a case type.

[0036] The processing module is configured to determine a first round of case handling questions corresponding to the case type;

[0037] The recommendation module is configured to receive case handling answers corresponding to the first round of case handling questions, and divide the closed cases in the database into strongly associated closed cases and weakly associated closed cases based on the case handling answers;

[0038] The processing module is further configured to obtain a next round of case handling questions from the strongly associated closed cases each time a strongly associated closed case or a weakly associated closed case is obtained, receive case handling answers corresponding to the case handling questions, and determine whether the case handling answers represent completion of case handling, and if so, generate a case recommendation end signal;

[0039] The recommendation module is configured to, if not, re-divide the closed cases in the database into strongly associated closed cases and weakly associated closed cases based on the case handling answers.

[0040] In a third aspect, the embodiment provides a computer readable storage medium having stored thereon a computer program capable of running on a processor, and the computer program, when executed by the processor, implements the intelligent auditing method for digital files as described in the first aspect.

[0041] By using the above method, the case handling signal is first obtained, wherein the case handling signal includes the case type. Then the first round of case handling questions corresponding to the case type is determined, the case handling answers corresponding to the first round of case handling questions are received, and the closed cases in the database are divided into strongly associated closed cases and weakly associated closed cases based on the case handling answers. Then the next round of case handling questions is obtained from the strongly associated closed cases each time a strongly associated closed case or a weakly associated closed case is obtained, the case handling answers corresponding to the case handling questions are received, and it is determined whether the case handling answers represent completion of case handling. If so, a case recommendation end signal is generated. If not, the closed cases in the database are re-divided into strongly associated closed cases and weakly associated closed cases based on the case handling answers. In this way, the case audit recommendation is not only performed once during the case handling process, and the case audit recommendation is not only performed at certain fixed stages, but is also adjusted in real time according to the obtained information, so that the recommended cases can be more suitable for the case, and the promotion of the cases is automatically analyzed and processed by the model, thereby improving the case handling efficiency and reducing the influence of the experience of the case handling personnel on the case handling. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 FIG. 1 is a block diagram of an intelligent auditing method for digital files provided by an embodiment of the present application.

[0043] Figure 2A method for dividing the closed cases in a database into strong correlation closed cases and weak correlation closed cases based on case handling answers is provided in the embodiments of the present application.

[0044] Figure 3 A method for obtaining the next round of case handling questions from the strong correlation closed cases each time a strong correlation closed case or a weak correlation closed case is obtained is provided in the embodiments of the present application.

[0045] Figure 4 A connection diagram of an intelligent audit system for digital files is provided in the embodiments of the present application. DETAILED DESCRIPTION

[0046] To make the objects, technical solutions, and advantages of the present application clearer, the present application is described and explained below in conjunction with the drawings and embodiments. However, it should be understood by those of ordinary skill in the art that the present application can be implemented without these details. It is obvious for those of ordinary skill in the art that various changes can be made to the embodiments disclosed in the present application, and the universal principles defined in the present application can be applied to other embodiments and application scenarios without deviating from the principles and scope of the present application. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest range claimed in the present application.

[0047] The embodiments of the present application are further described in detail below in conjunction with the drawings of the specification.

[0048] In the present application, case recommendation is an important correlation means in case audit handling, and the recommendation of cases is achieved by analyzing the content of cases. Case handling personnel can improve the processing efficiency and logic of similar cases based on the recommended cases.

[0049] Figure 1 A method block diagram of an intelligent audit system for digital files is provided in the embodiments of the present application. As shown in Figure 1 The intelligent audit method for digital files includes the following steps:

[0050] Step S100, obtaining a case handling signal, wherein the case handling signal includes a case handling type.

[0051] The embodiment is described from the central processing end. The above-mentioned case handling signal refers to a signal that needs to be handled. The case handling signal is sent by the case handling personnel to the central processing end when there is a need for case handling, so that the central processing end obtains the case handling signal. Specifically, the case handling personnel receiving the case request of the public can indicate that there is a need for case handling, and the case handling personnel finding that a case occurs during patrol can also indicate that there is a need for case handling. Here, how to determine whether there is a need for case handling is not further limited. The case handling signal includes the case handling type, that is, which one of the mild fighting case type, the moderate fighting case type, the severe fighting case type, the theft case type, the traffic accident case type, the domestic violence case type, the dispute case type, and the right case type the case handling personnel needs to handle. The case handling personnel sends the case handling signal to the central processing end, which contains the case type corresponding to the case.

[0052] In step S200, the first round of case handling questions corresponding to the case type is determined, the case handling answers corresponding to the first round of case handling questions are received, and the cases in the database are divided into strong correlation cases and weak correlation cases based on the case handling answers.

[0053] The database in the central processing end stores the basic questions corresponding to each case type, that is, when the case handling personnel starts to handle the case, the questions related to the basic situation of the case need to be understood, that is, the first round of case handling questions that need to be asked when handling the case. Therefore, by substituting the case type that needs to be handled into the database, the basic questions corresponding to the case type are found, and the first round of case handling questions corresponding to the case type is determined. Then the case handling personnel gets the first round of case handling questions, and takes corresponding actions according to the first round of case handling questions, so as to obtain the case handling answers corresponding to the first round of case handling questions, and sends the obtained case handling answers to the central management end, so that the central management end receives the case handling answers corresponding to the first round of case handling questions. If the first round of case handling questions includes asking questions to the involved personnel, the involved personnel can use the central processing end to directly obtain the answers of the involved personnel by communicating with the voice and image equipment deployed in the case handling room. If the involved personnel is not in the case handling room, the case handling personnel needs to ask questions to the involved personnel and record the answers of the involved personnel, and then upload the recorded answers to the central processing end, so that the central processing end receives the answers of the involved personnel.

[0054] If the corresponding action of the first round of case handling problems includes obtaining a video of a certain place, the central processing end can receive the relevant answers by checking the equipment in the place and connecting the equipment with the central management end. In this way, after obtaining the case handling problems, the corresponding case handling answers are automatically obtained by using the associated equipment as much as possible, which can reduce the number of intermediate transmissions and improve the accuracy of the obtained case handling answers, providing more accurate information references for subsequent similar case recommendations.

[0055] After obtaining the case handling answers of this round, the closed cases in the database are divided into strong correlation closed cases and weak correlation closed cases based on the case handling answers. Among them, the strong correlation closed cases represent cases with strong correlation with the case, which are the similar cases that need to be recommended in this round. The weak correlation closed cases represent cases with low correlation with the case, which are not recommended in this round.

[0056] The case handling answers corresponding to the case handling problems in the first round include case information, case address and involved personnel. The strong correlation closed cases include first strong correlation closed cases, second strong correlation closed cases and third strong correlation closed cases. The first strong correlation closed cases, the second strong correlation closed cases and the third strong correlation closed cases belong to different levels of cases, i.e. different levels of cases indicate different degrees of similarity with the case. Among all the strong correlation closed cases, the degrees of similarity with the case in order from low to high are the first strong correlation closed cases, the second strong correlation closed cases and the third strong correlation closed cases. Figure 2 is a method block diagram provided by the embodiment of the application for dividing the closed cases in the database into strong correlation closed cases and weak correlation closed cases based on case handling answers. As shown in Figure 2 dividing the closed cases in the database into strong correlation closed cases and weak correlation closed cases based on case handling answers includes the following steps:

[0057] Step S201, read the information of each closed case in the database, and determine the first-order case containing only any one of case information, case address and involved personnel as the first strong correlation closed case.

[0058] Step S202, determine the closed case containing only any two of case information, case address and involved personnel as the second strong correlation closed case.

[0059] Step S203, determine the closed case containing case information, case address and involved personnel as the third strong correlation closed case.

[0060] Step S204, determine the other cases in the closed cases except the strong correlation closed cases as weak correlation cases.

[0061] The file header of each closed case file stored in the database is marked with several pieces of information that can indicate the key information and basic information of the case. The information of each closed case in the database can be obtained by checking the file header of each closed case. Then each information is compared with the case information, case address and involved personnel in the case handling answer to obtain the number of each information containing case information, case address and involved personnel. Then the closed case corresponding to the information with a number of one is determined as the first strong correlation closed case, the closed case corresponding to the information with a number of two is determined as the second strong correlation closed case, the closed case corresponding to the information with a number of three is determined as the third strong correlation closed case, and the closed case corresponding to the information with a number of zero is determined as the weak correlation closed case. In this way, after obtaining the basic information of the case, a limited number of information comparisons are used to quickly recommend the closed cases that may have a strong correlation with the case from all the closed cases in the database, that is, the similar case recommendation, which provides guidance for subsequent further case handling, so that the case can have a recommended similar case operation at the beginning of handling, and the influence of the experience of the case handling personnel on the case handling can be indirectly improved.

[0062] Step S300, each time a strong correlation closed case or a weak correlation closed case is obtained, the next round of case handling questions are obtained from the strong correlation closed cases, the case handling answers corresponding to the case handling questions are received, and it is judged whether the case handling answers represent the completion of the case handling. If yes, a similar case recommendation end signal is generated.

[0063] Step S400, if no, the closed cases in the database are re-divided into strong correlation closed cases and weak correlation closed cases based on the case handling answers.

[0064] After the closed cases in the database are divided into strong correlation closed cases and weak correlation closed cases once, it indicates that one similar case recommendation in the case handling process is completed. Since the completion of the case handling is not determined by one round of questions, multiple rounds of questions and answers are needed, that is, the next round of case handling questions are obtained from the strong correlation closed cases each time a strong correlation closed case or a weak correlation closed case is obtained. Specifically, after obtaining the case handling answers corresponding to the first round of case handling questions and performing similar case recommendation, the next round of case handling questions need to be determined. Figure 3 is the method block diagram provided by each embodiment of the present application for obtaining the next round of case handling questions from the strong correlation closed cases each time a strong correlation closed case or a weak correlation closed case is obtained. As shown in Figure 3 obtaining the next round of case handling questions from the strong correlation closed cases each time a strong correlation closed case or a weak correlation closed case is obtained includes the following steps:

[0065] Step S301, all obtained case handling answers are substituted into the pre-case analysis model to obtain the predicted case.

[0066] Step S302, the recently obtained case handling answer is substituted into the pre-case situation to obtain the recently obtained case handling progress information.

[0067] Step S303, the reference case handling question of the next stage of the case handling progress information of each strong correlation closed case is viewed, and the corresponding reference case handling question is given a corresponding score according to the grade to which the strong correlation closed case belongs, wherein the first strong correlation closed case, the second strong correlation closed case and the third strong correlation closed case belong to different grade cases, and each has a corresponding score.

[0068] Step S304, all scores belonging to the same reference case handling question are added to obtain the total score corresponding to the reference case handling question, and the maximum score is determined, and the question corresponding to the maximum score is determined as the initial case handling question.

[0069] Step S305, it is judged whether a supplementary question is received, if not, the initial case handling question is the case handling question of the next round.

[0070] Step S306, if received, the initial case handling question and the supplementary question are determined as the case handling question of the next round.

[0071] The above-mentioned pre-case situation analysis model specifically refers to all closed cases of the case type in the database, which are trained to make the pre-case situation analysis model more consistent with the case situation analysis. The central processing end substitutes all the case handling answers of the case obtained after receiving a round of case handling answers into the pre-case situation analysis model, so that the pre-case situation analysis model processes and outputs a predicted case situation at its output end, that is, the pre-case situation analysis model combines all the case handling answers obtained now to speculate a probable case situation of the case.

[0072] Then the recently obtained case handling answer of this round is substituted into the pre-case situation and compared with the information in the pre-case to obtain which contents of the pre-case situation are disclosed by the recently obtained case handling answer of this round, so as to obtain the case handling progress information corresponding to the recently obtained case handling answer of this round according to the sorting position of these contents in the pre-case situation.

[0073] Then, the reference handling problems are obtained by checking the problems of each strongly associated closed case at the next stage of the handling progress information, that is, each reference handling problem corresponding to each strongly associated closed case is obtained, and the score corresponding to each reference handling problem is the score corresponding to the strongly associated closed case. Each level of strongly associated case corresponds to a corresponding score, and the corresponding scores from small to large are the first strongly associated closed case, the second strongly associated closed case, and the third strongly associated closed case. The scores corresponding to different levels of strongly associated cases are different. Then, the scores corresponding to the same problem in all reference handling problems are added to obtain the total score corresponding to the problem. If some problems in all reference handling problems do not belong to the same problem, the total score of the problem is the score corresponding to the problem. Thus, the total score corresponding to each reference handling problem is obtained, and by comparing all total scores, the maximum score can be determined, and the reference handling problem corresponding to the maximum score is the initial handling problem. The initial handling problem is represented as the next round of questions that need to be raised by the central processing terminal.

[0074] However, the case handling personnel may also have their own ideas during the handling process, so there are some questions. In order to be more comprehensive and accurate in handling the case, the central processing terminal can receive the supplementary questions sent by the case handling personnel when the case handling personnel has questions, that is, when the supplementary questions are received, the supplementary questions and the initial handling problem obtained above are determined as the next round of handling problems. When no supplementary questions are received, the initial handling problem obtained above is determined as the next round of handling problems. In this way, when the central processing terminal automatically integrates the next round of required handling problems based on the promoted similar cases, the case handling personnel's supplementary questions for the case are also considered, so that each handling problem is more comprehensive and accurate.

[0075] After the case handling personnel obtains the handling problem again, the corresponding handling action is taken according to the handling problem, so as to obtain the handling answer corresponding to the handling problem, and the obtained handling answer is sent to the central management terminal, so that the central management terminal receives the handling answer corresponding to the handling problem.

[0076] Then, after obtaining the handling answer, the handling answer is substituted into the above-obtained pre-case situation to obtain the handling progress information corresponding to the handling answer, that is, it is determined whether the sorting position of all obtained information in the pre-case situation is the last position. If it is the last position, it indicates that the handling answer represents completed handling. If it is not the last position, it indicates that the handling answer does not represent completed handling.

[0077] When the case handling answer is determined to represent the completion of the case handling, the central processing end generates a case recommendation end signal to stop the subsequent case recommendation of the case. When the case handling answer is determined not to represent the completion of the case handling, the central processing end extracts a plurality of core information from the case handling answer, and then re-divides the closed cases in the database into the strongly associated closed cases and the weakly associated closed cases using the case handling answer in the above manner, so as to execute the above step S300. In this way, the case recommendation is not performed only once in the process of the case handling, and the case recommendation is not performed only at certain fixed stages, but is adjusted in real time according to the obtained information, so that the recommended cases can be more suitable for the case, and the promotion of the cases is automatically analyzed and processed by the model, thereby improving the case handling efficiency and reducing the influence of the experience of the case handling personnel on the case handling.

[0078] When the closed cases in the database are re-divided into the strongly associated closed cases and the weakly associated closed cases using the case handling answer, the strongly associated closed cases and the weakly associated closed cases of the current round can be determined from the strongly associated closed cases of the previous round which have been divided, and the strongly associated closed cases and the weakly associated closed cases of the current round can be determined from the weakly associated closed cases of the previous round which have been divided. In this way, the strongly associated closed cases of the current round can be obtained more quickly, thereby indirectly improving the case handling efficiency.

[0079] Preferably, the central processing end performs format verification on the case handling answer and the corresponding case handling question each time a case handling answer is obtained, and writes the case handling answer and the corresponding case handling question into the case file corresponding to the case handling information after the verification is passed. If the verification fails, the case handling answer and / or the corresponding case handling question are modified in a preset modification rule, and the modified case handling answer and / or the corresponding case handling question are written into the case file corresponding to the case handling information. It is determined whether all the case handling questions and the case handling answers are written into the case file corresponding to the case handling information, and if yes, the case file is generated into the closed case information.

[0080] Specifically, the central management end will use the associated file assistant program to format verify the case handling answer and the corresponding case handling question after obtaining the case handling answer, and automatically adjust the corresponding format when there are format problems such as typos, incorrect formats, and incorrect reference relationships, to obtain the verified information, and then write the verified information into the case file corresponding to the case handling signal. When there are no format problems such as typos, incorrect formats, and incorrect reference relationships, the case handling answer and the corresponding case handling question are taken as the verified information, and the information is written into the case file corresponding to the case handling signal. Each case handling signal corresponds to a blank file in the database, and the central processing end writes the verified information into the blank file after obtaining the information, so that all case handling questions and case handling answers of the case after verification are written into the case file corresponding to the case handling signal, and the file assistant program is used to arrange and extract all the written information to obtain the case closing information, which is stored in the database and becomes a closed case. In this way, the information is arranged gradually during the process of obtaining the case handling question and the corresponding case handling answer, so that the corresponding file can be arranged more quickly when the case is completed, the time spent on arranging the file after the case is clear is reduced, and the completion efficiency of the case is improved.

[0081] Preferably, the central processing end also obtains the legal provisions involved in the predicted case after receiving the case handling answer corresponding to the case handling question, generates the legal provisions, and pushes them to the case handling personnel.

[0082] The central processing end sends the received predicted case to the associated file assistant program, which reads the predicted case and obtains the legal provisions involved in the predicted case by comparing with the stored legal provisions, and pushes them to the case handling personnel in the form of voice or text, so that the case handling personnel can decide whether to inform the relevant personnel based on the actual situation. This can assist the case handling personnel in handling the case.

[0083] Preferably, the central processing end judges whether the deviation between the predicted case and the case of the previous predicted case is greater than a preset deviation after obtaining each predicted case, and if so, sends the predicted case to the case handling personnel, receives feedback information from the case handling personnel, and modifies the predicted case based on the feedback information.

[0084] Specifically, the case deviation is specifically the number of different information of the predicted case and the last predicted case, and the preset deviation is the number of allowed different information when the cases are the same by default. By comparing the number of different information of the predicted case and the last predicted case with the number of allowed different information, if the number of different information of the predicted case and the last predicted case is less than the number of allowed different information, it indicates that the case deviation of the predicted case and the last predicted case is not greater than the preset deviation, that is, the obtained predicted case is accurate, and at this time, the obtained predicted case is taken as the predicted case of this time. If the number of different information of the predicted case and the last predicted case is not less than the number of allowed different information, it indicates that the case deviation of the predicted case and the last predicted case is greater than the preset deviation, that is, the obtained predicted case is inaccurate, and at this time, the obtained predicted case is sent to the case handling personnel, and the case handling personnel assists in determining whether the predicted case is accurate. When it is determined to be accurate, the case handling personnel will send a blank feedback information. When it is determined to be inaccurate, the case handling personnel will send a feedback information containing an accurate predicted case, that is, the feedback information is non-blank information. The central processing end will modify the predicted case according to the received feedback information, so as to obtain an accurate predicted case. In this way, by judging the accuracy of the predicted case, the accuracy of the subsequent determination of the case handling problem can be ensured, and then the accuracy of the subsequent recommendation of similar cases can be ensured. After all, the accuracy of the predicted case will determine the accuracy of the subsequent promotion of similar cases.

[0085] When the feedback information is non-blank information, the modified predicted case is fed back to the predicted case analysis model to adjust the predicted case analysis model. In this way, when the accuracy of the predicted case obtained by the predicted case analysis model is reduced, the predicted case analysis model can be adjusted in time, which can improve the accuracy of the subsequent obtained predicted case, and further improve the more accurate recommendation of similar cases.

[0086] Preferably, the central processing end also receives a question and answer request, and divides the case handled into a fourth strongly associated case handled from the database corresponding to the question and answer request. The question and answer request refers to the information needed by the case handling personnel in the case handling process. The information has a strong association with the case handling, and therefore, the case handled corresponding to the question and answer request is divided into the fourth strongly associated case handled, so that the fourth strongly associated case handled has a greater proportion in the recommendation of similar cases of the case, thereby increasing the effective guidance of the case handling personnel to the case and better helping the handling of the case.

[0087] Figure 4 It is a connection diagram of an intelligent auditing system for digital files provided by the embodiment of the present application. As shown in Figure 4 The intelligent auditing system for digital files includes an acquisition module, a processing module and a recommendation module.

[0088] The obtaining module is configured to obtain a case handling signal, wherein the case handling signal comprises a case type. The processing module is configured to determine a first round of case handling questions corresponding to the case type. The recommendation module is configured to receive a case handling answer corresponding to the first round of case handling questions, and divide the closed cases in the database into strongly-correlated closed cases and weakly-correlated closed cases based on the case handling answer. The processing module is further configured to obtain a next round of case handling questions from the strongly-correlated closed cases each time a strongly-correlated closed case or a weakly-correlated closed case is obtained, receive a case handling answer corresponding to the case handling questions, and determine whether the case handling answer represents completion of the case handling. If yes, a case recommendation end signal is generated. If no, the closed cases in the database are re-divided into strongly-correlated closed cases and weakly-correlated closed cases based on the case handling answer.

[0089] The other functions performed by the above-described obtaining module, processing module and recommendation module, and the technical details of each function are the same as or similar to the corresponding features of the above-described intelligent auditing method for digital files, and thus will not be described again here.

[0090] The embodiments of the present application also provide a computer storage medium having a computer program stored thereon, which, when executed on a computer, enables the computer to perform the steps of the above-described intelligent auditing method for digital files.

[0091] It should be understood that, although each step in the flowchart of the accompanying drawings is shown in sequence according to the direction of the arrow, these steps are not necessarily executed in sequence according to the direction of the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and they can be executed in other sequences.

[0092] The above only describes some embodiments of the present application, and it should be noted that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered as falling within the scope of protection of the present application.

Claims

1. An intelligent review method for digital case files, characterized in that, The method includes: Acquire case-handling signals, wherein the case-handling signals include the case type; Determine the first round of case-handling questions corresponding to the case type, receive the case-handling answers corresponding to the first round of case-handling questions, and classify the closed cases in the database into strongly related closed cases and weakly related closed cases based on the case-handling answers; Each time a strongly correlated closed case and a weakly correlated closed case are obtained, the next round of case-handling questions are obtained from the strongly correlated closed cases, the case-handling answers corresponding to the case-handling questions are received, and it is determined whether the case-handling answer indicates that the case-handling is completed. If so, a similar case recommendation end signal is generated. If not, based on the aforementioned case handling responses, the closed cases in the database will be reclassified into strongly related closed cases and weakly related closed cases; The step of obtaining the next round of case-handling issues from the strongly related closed cases and weakly related closed cases each time includes: All the case-handling responses obtained are substituted into the case prediction analysis model to obtain the predicted case details; Substitute the most recently obtained case handling response into the predicted case information to obtain the case handling progress information corresponding to the most recently obtained case handling response; View the reference case-handling questions for each strongly related closed case in the next stage of the case-handling progress information, and assign corresponding scores to the reference case-handling questions according to the level to which the strongly related closed case belongs. Among them, the first strongly related closed case, the second strongly related closed case, and the third strongly related closed case belong to different levels of cases, and each has its own corresponding score. The total score for the reference case-handling question is obtained by adding up all the scores belonging to the same reference case-handling question, and the maximum score is determined. The question corresponding to the maximum score is then determined as the initial case-handling question. Determine whether supplementary questions have been received. If not, the initial case-handling questions will become the case-handling questions for the next round. If received, the initial case-handling questions and the supplementary questions will be determined as the case-handling questions for the next round.

2. The method according to claim 1, characterized in that, The case handling response includes case information, case address, and involved personnel. The strongly related closed cases include first strongly related closed cases, second strongly related closed cases, and third strongly related closed cases. The process of classifying closed cases in the database into strongly related closed cases and weakly related closed cases based on the case handling response includes: Read the information of each closed case in the database, and identify the closed case that contains only any one of the following: the cause of action, the case address, and the persons involved as the first strongly associated closed case; Cases that contain only any two of the aforementioned cause of action information, case address, and persons involved are identified as second strongly related closed cases; All closed cases that contain the aforementioned cause of action information, case address, and persons involved are identified as third strongly related closed cases; All cases in the concluded cases other than the strongly related concluded cases are identified as weakly related cases.

3. The method according to claim 1, characterized in that, The method further includes: For each case response received, the format of the response and the corresponding case questions is verified, and once the verification is successful, they are written together into the case file corresponding to the case signal. If the verification fails, the format of the case handling answer and / or the corresponding case handling question is modified using the preset modification rules, and the modified case handling answer and / or the corresponding case handling question are written into the case file corresponding to the case handling signal. Determine whether all case-handling questions and answers should be written into the case file corresponding to the case-handling signal. If so, generate case closure information from the case file.

4. The method according to claim 1, characterized in that, After receiving the case-handling answer corresponding to the case-handling question, the process also includes: Obtain the legal provisions involved in the predicted case, generate the legal provisions, and push them to the case handlers.

5. The method according to claim 1, characterized in that, The method further includes: For each predicted case, it is determined whether the deviation between the predicted case and the previous predicted case is greater than a preset deviation. If it is greater, the predicted case is sent to the case handlers, feedback information is received from the case handlers, and the predicted case is modified based on the feedback information.

6. The method according to claim 5, characterized in that, The method further includes: If the feedback information is not blank, the modified predicted case information will be fed back to the predicted case analysis model to adjust the predicted case analysis model.

7. The method according to claim 1, characterized in that, The method further includes: Upon receiving a question-and-answer request, the system retrieves the closed cases corresponding to the question-and-answer request from the database and classifies them as fourth strongly associated closed cases.

8. An intelligent review system for digital case files, characterized in that, The system includes an acquisition module, a processing module, and a recommendation module; wherein, The acquisition module is used to acquire case-handling signals, wherein the case-handling signals include case types; The processing module is used to determine the first round of case-handling issues corresponding to the case type; The recommendation module is used to receive the case-handling answers corresponding to the case-handling questions in the first round, and to divide the closed cases in the database into strongly related closed cases and weakly related closed cases based on the case-handling answers. The processing module is also used to obtain the next round of case-handling questions from the strongly associated closed cases each time a strongly associated closed case and a weakly associated closed case are obtained, receive the case-handling answers corresponding to the case-handling questions, and determine whether the case-handling answers represent the completion of case handling. If so, a similar case recommendation end signal is generated. The recommendation module is used to, if not, reclassify the closed cases in the database into strongly related closed cases and weakly related closed cases based on the case handling answers; The step of obtaining the next round of case-handling issues from the strongly related closed cases and weakly related closed cases each time includes: All the case-handling responses obtained are substituted into the case prediction analysis model to obtain the predicted case details; Substitute the most recently obtained case handling response into the predicted case information to obtain the case handling progress information corresponding to the most recently obtained case handling response; View the reference case-handling questions for each strongly related closed case in the next stage of the case-handling progress information, and assign corresponding scores to the reference case-handling questions according to the level to which the strongly related closed case belongs. Among them, the first strongly related closed case, the second strongly related closed case, and the third strongly related closed case belong to different levels of cases, and each has its own corresponding score. The total score for the reference case-handling question is obtained by adding up all the scores belonging to the same reference case-handling question, and the maximum score is determined. The question corresponding to the maximum score is then determined as the initial case-handling question. Determine whether supplementary questions have been received. If not, the initial case-handling questions will become the case-handling questions for the next round. If received, the initial case-handling questions and the supplementary questions will be determined as the case-handling questions for the next round.

9. A computer-readable storage medium having a computer program stored thereon that can run on a processor, characterized in that, When the computer program is executed by the processor, it implements an intelligent review method for digital case files as described in any one of claims 1 to 7.

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