A case handling system and method based on digital documents

Abstract

The present invention provides a case handling system and method based on digital documents, wherein the system includes: an acquisition module for acquiring a handling task for a case that needs to be handled, and the handling task includes: case information and handling time; a generation module for generating a first electronic document of the case based on the case information; a signature module for signing the first electronic document based on the electronic signature technology to obtain a second electronic document with the signature completed; and a distribution module for distributing the corresponding second electronic document with the signature completed to a preset delivery node at the handling time. The case handling system and method based on digital documents of the present invention automatically generates a first electronic document based on case information, thereby improving efficiency; introduces electronic signature technology to determine the second electronic document with the signature completed, and since each electronic signature has a corresponding digital certificate, it has more credibility; completes the designated delivery of the second electronic document, thereby improving the security of delivery.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a case handling system and method based on digital documents. Background Art

[0002] At present, when handling cases, relevant departments generally connect with relevant departments by issuing paper documents, which need to be manually produced. However, the labor cost of manually producing documents is high, and the efficiency will also be reduced when the number of cases is large. In addition, paper documents need to be sent by designated personnel, and the delivery process is difficult to monitor, and the credibility of the signatures or seals on the received documents cannot be ensured. At the same time, paper documents may be lost or damaged during the delivery process, which reduces the security of document delivery.

[0003] Therefore, a solution is urgently needed. Summary of the invention

[0004] One of the purposes of the present invention is to provide a case handling system based on digital documents, which automatically generates a first electronic document based on case information without the need for manual production, thereby improving efficiency; introduces electronic signature technology to determine the second electronic document that has been signed, and since each electronic signature has a corresponding digital certificate, the signature is more credible; completes the designated delivery of the second electronic document, thereby improving the timeliness and security of the delivery.

[0005] An embodiment of the present invention provides a case handling system based on digital documents, comprising:

[0006] An acquisition module is used to acquire the handling tasks of the cases to be handled, wherein the handling tasks include: case information and handling time;

[0007] A generating module, used for generating a first electronic document of the case based on the case information;

[0008] A signature module, used to sign the first electronic document based on the electronic signature technology to obtain a signed second electronic document;

[0009] The distribution module is used to distribute the corresponding second electronic document with completed signature to a preset delivery node at the processing time.

[0010] Preferably, the acquisition module performs the following operations:

[0011] Obtain the handling tasks entered by the personnel who log in to the case handling system in the case handling task input interface;

[0012] and / or,

[0013] Obtaining communication information of a preset first communication node;

[0014] Analyze the communication information and obtain the processing tasks sent by the personnel.

[0015] Preferably, the generating module performs the following operations:

[0016] Splitting the case information to obtain multiple information items;

[0017] Acquire a first information type corresponding to the information item;

[0018] Acquire a second information type required to generate the first electronic document;

[0019] Determining, based on a first information type corresponding to the information item and a second information type required to generate the first electronic document, a generation information item in the information item required to generate the first electronic document;

[0020] Based on a preset electronic document generation template, the first electronic document is generated according to the generation information item.

[0021] Preferably, the signature module performs the following operations:

[0022] Acquire a second communication node of a signatory of the first electronic document, and send the first electronic document to the second communication node;

[0023] Based on a preset notification rule, notifying the signatory to receive the first electronic document;

[0024] After the notification is completed, the first fingerprint identifier of the preset fingerprint digital signature device is input when the signatory signs;

[0025] Verifying the legitimacy of the first fingerprint identification;

[0026] If the verification is successful, obtain the second electronic document uploaded after the corresponding signatory's standardized signature.

[0027] Preferably, the signature module verifies the legitimacy of the first fingerprint identification, including:

[0028] Obtaining a first case type that can be signed and processed corresponding to the first fingerprint identifier;

[0029] Obtaining a second case type corresponding to the first electronic document;

[0030] Determine whether the second case type is the same as any of the first case types;

[0031] If yes, obtaining a process image corresponding to the signature of the signer;

[0032] Based on face recognition technology, identifying a face identifier of a face in the process image;

[0033] Querying a preset face identifier-fingerprint identifier library to determine a second fingerprint identifier corresponding to the face identifier;

[0034] It is determined whether the first fingerprint identifier is consistent with the second fingerprint identifier. If so, the first fingerprint identifier is legal.

[0035] Preferably, the signing module obtains the second electronic document uploaded after the corresponding signatory has signed in a standardized manner, including:

[0036] Acquire a first image of the pre-transmitted electronic document uploaded after the signatory completes the signing;

[0037] Determine a second image partially containing the signature content from the first image;

[0038] extracting signature features of the second image;

[0039] querying a signature irregularity feature database, and judging whether the signature content in the second image is regular according to the signature features;

[0040] If yes, use the corresponding pre-transmitted electronic document as the second electronic document;

[0041] The determining of the second image partially containing the signature content from the first image includes:

[0042] Acquire first eigenvalues ​​of a plurality of image growth points in the first image;

[0043] Based on the first eigenvalue, construct a growth point description vector;

[0044] Searching the area of ​​the image growth point in the first image to determine at least one image search point;

[0045] Extracting a second eigenvalue of the image search point;

[0046] constructing a search point description vector based on the second eigenvalue;

[0047] Calculating a vector distance between the first description vector and the search point description vector;

[0048] If the vector distance is less than or equal to a preset distance threshold, the corresponding image search point is used as a growth point;

[0049] When all the areas to be searched are searched, clustering is performed on the image growth point and all growth points corresponding to the image growth point to obtain a third image, and the second image is selected from the third image.

[0050] Preferably, the signature module queries the signature irregularity feature library and determines whether the signature content in the second image is regular according to the signature features, including:

[0051] Matching the signature feature with each of the signature irregularity features in the signature irregularity feature library;

[0052] If there is a match, obtain the first irregular reason, and notify the corresponding signatory based on the first irregular reason;

[0053] Otherwise, it corresponds to the signature content specification in the second image.

[0054] Preferably, the signature module obtains the first irregularity reason and reminds the relevant personnel accordingly based on the first irregularity reason, including:

[0055] Obtaining the signature irregularity feature that matches the signature irregularity feature library and using it as the attribution feature;

[0056] Determine a first irregularity cause based on a preset irregularity cause determination library and the attribution feature;

[0057] Get the time length from the current moment to the processing time;

[0058] Based on the preset reminder information generation template, a reminder information is generated according to the first irregularity reason and the time length, and the reminder information is sent to the corresponding signatory;

[0059] The determining of the first irregularity cause based on the preset irregularity cause determination library and the attribution feature includes:

[0060] Based on a preset causal analysis model, a causal analysis is performed on the attribution feature and the second irregular cause in the irregular cause determination library to obtain a causal value, and the causal value is associated with the corresponding second irregular cause;

[0061] Accumulate and calculate each of the causal values ​​to obtain a causal value sum;

[0062] If the causal value is greater than or equal to the preset causal value and threshold, the corresponding second irregular reason will be used as the first irregular reason.

[0063] Preferably, the signature module generates a reminder message based on a reminder message generation template and according to the first irregularity reason and the time length, including:

[0064] Determine reminder content based on the first irregularity reason and the time length;

[0065] Obtaining a solution strategy corresponding to the first irregularity reason;

[0066] Based on a preset strategy complexity analysis model, performing complexity analysis on the solution strategy to determine the complexity of the solution strategy;

[0067] Query the preset complexity-predicted solution time database to determine the predicted solution time corresponding to the solution strategy;

[0068] Calculate the time difference between the time length and the predicted solution time length;

[0069] Determine reminder information according to the time difference and the reminder content;

[0070] The determining of reminder information according to the time difference and the reminder content includes:

[0071] Based on the preset reminder color marking rule, the reminder content is marked with a corresponding reminder color according to the time difference, and the marked reminder content is used as the reminder information.

[0072] An embodiment of the present invention provides a case handling method based on digital documents, comprising:

[0073] Step 1: Obtain the handling task of the case to be handled, the handling task includes: case information and handling time;

[0074] Step 2: Based on the case information, generate a first electronic document of the case;

[0075] Step 3: Based on the electronic signature technology, the first electronic document is signed to obtain a signed second electronic document;

[0076] Step 4: Distribute the corresponding second electronic document with the completed signature to the preset delivery node during the processing time.

[0077] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0078] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0080] Figure 1A schematic diagram of a case handling system based on digital documents in an embodiment of the present invention;

[0081] Figure 2 It is a schematic diagram of a case handling method based on digital documents in an embodiment of the present invention. DETAILED DESCRIPTION

[0082] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0083] The embodiment of the present invention provides a case handling system based on digital documents, such as Figure 1 As shown, including:

[0084] Acquisition module 1, used to acquire the handling task of the case to be handled, the handling task includes: case information and handling time;

[0085] Generating module 2, used for generating a first electronic document of the case based on the case information;

[0086] The signing module 3 is used to sign the first electronic document based on the electronic signature technology to obtain a signed second electronic document;

[0087] The distribution module 4 is used to distribute the corresponding second electronic document with completed signature to a preset delivery node within the processing time.

[0088] The working principle and beneficial effects of the above technical solution are:

[0089] The handling task is generally issued by the person handling the case. The handling task includes: case information and handling time. Based on the case information, the first electronic document of the case is generated; the first electronic document is the digital form of the file. The first electronic document is signed and sealed to obtain a second electronic document with the signature completed; it is implemented based on electronic signature technology, which belongs to the existing technology and can be implemented, for example: the relevant department stamps the department's electronic seal on the first electronic document, and uploads the stamped second electronic document to the case handling system. The second electronic document is sent to the preset delivery node at the handling time. The preset delivery node is specifically: the recipient node pre-set by the staff, for example: xx document completion administrator.

[0090] This application automatically generates a first electronic document based on case information, without the need for manual production, thus improving efficiency; it introduces electronic signature technology to determine the second electronic document that has been signed. Since each electronic signature has a corresponding digital certificate, the signature is more credible; it completes the designated delivery of the second electronic document, improving the timeliness and security of delivery.

[0091] In one embodiment, the acquisition module 1 performs the following operations:

[0092] Obtain the handling tasks entered by the personnel who log in to the case handling system in the case handling task input interface;

[0093] and / or,

[0094] Obtaining communication information of a preset first communication node;

[0095] Analyze the communication information and obtain the processing tasks sent by the personnel.

[0096] The working principle and beneficial effects of the above technical solution are:

[0097] Case handling tasks can be obtained in two ways: 1. The case handling personnel log in to the case handling system. There is a task handling input interface on the case handling terminal device. The case handling personnel who log in to the system can directly enter the task handling task. 2. The communication information of the preset first communication node is: the task handling task input by the personnel into the first communication node. The preset first communication node is: the device node configured by the personnel. The first communication node is connected to the case handling system based on the Internet of Things technology. The Internet of Things technology belongs to the existing technology and can be realized.

[0098] This application introduces two ways to obtain processing tasks, which improves the comprehensiveness of obtaining processing tasks.

[0099] In one embodiment, the generating module 2 performs the following operations:

[0100] Splitting the case information to obtain multiple information items;

[0101] Acquire a first information type corresponding to the information item;

[0102] Acquire a second information type required to generate the first electronic document;

[0103] Determining, based on a first information type corresponding to the information item and a second information type required to generate the first electronic document, a generation information item in the information item required to generate the first electronic document;

[0104] Based on a preset electronic document generation template, the first electronic document is generated according to the generation information item.

[0105] The working principle and beneficial effects of the above technical solution are:

[0106] The information items are data items obtained by splitting the case information, such as: name xx, age xx and cause:... etc. The first information type is specifically: all information types corresponding to the information items, such as: event cause information, processing result information, etc. The second information type is the information type required to generate the first electronic document, such as: time information, processing result information, etc. Based on the first information type corresponding to the information item and the second information type required to generate the first electronic document, the generated information items required to generate the first electronic document in the information item are determined. For example: if the first information type is consistent with any second information type, the information item corresponding to the first information type is used as the generated information item. Based on the preset electronic document generation template, the first electronic document is generated according to the generated information item. The electronic document generation template is used to extract the content in the generated information item and generate an electronic document in a specified format.

[0107] The present application extracts production information items from case information used to generate the first electronic document, reduces the processing of invalid data, further improves the generation efficiency of the first electronic document, and at the same time, greatly reduces the energy consumption of system processing.

[0108] In one embodiment, the signature module 3 performs the following operations:

[0109] Acquire a second communication node of a signatory of the first electronic document, and send the first electronic document to the second communication node;

[0110] Based on a preset notification rule, notifying the signatory to receive the first electronic document;

[0111] After the notification is completed, the first fingerprint identifier of the preset fingerprint digital signature device is input when the signatory signs;

[0112] Verifying the legitimacy of the first fingerprint identification;

[0113] If the verification is successful, obtain the second electronic document uploaded after the corresponding signatory's standardized signature.

[0114] The working principle and beneficial effects of the above technical solution are:

[0115] The second communication node of the signatory of the first electronic document is specifically: the signing device node of the signatory. The signatory is the person who signs or stamps. Based on the Internet of Things technology, the first electronic document is sent to the second communication node. The preset notification rule is, for example, "You have a pending document, please process it in time", and another example is: "You have a document to be signed, please sign it in time". After the notification is completed, the first fingerprint identification of the preset fingerprint digital signature device is input when the signatory's signature is obtained; the preset fingerprint digital signature device is a fingerprint collection device, and the above-mentioned fingerprint collection device is connected to the case handling system for collecting the first fingerprint identification of the signatory. The first fingerprint identification is, for example: the fingerprint ID of the signatory. Verify the legitimacy of the first fingerprint identification. When verifying, verify from two aspects: first, verify whether the corresponding person of the input fingerprint has the signing authority; second, verify whether the input fingerprint is consistent with the fingerprint of the person who is signing. If both verifications are passed, the second electronic document transmitted back to the case handling system by the signatory through the above-mentioned second communication node is obtained, and the acquisition is completed.

[0116] This application introduces notification rules to promptly notify the signatory to sign the first electronic document, thereby improving the appropriateness and timeliness of the notification; and verifies the first fingerprint identification of the signatory, thereby further improving the rationality of obtaining the second electronic document.

[0117] In one embodiment, the signature module 2 verifies the legitimacy of the first fingerprint identification, including:

[0118] Obtaining a first case type that can be signed and processed corresponding to the first fingerprint identifier;

[0119] Obtaining a second case type corresponding to the first electronic document;

[0120] Determine whether the second case type is the same as any of the first case types;

[0121] If yes, obtaining a process image corresponding to the signature of the signer;

[0122] Based on face recognition technology, identifying a face identifier of a face in the process image;

[0123] Querying a preset face identifier-fingerprint identifier library to determine a second fingerprint identifier corresponding to the face identifier;

[0124] It is determined whether the first fingerprint identifier is consistent with the second fingerprint identifier. If so, the first fingerprint identifier is legal.

[0125] The working principle and beneficial effects of the above technical solution are:

[0126] The first case type is a case type that can be handled by the individual or organization corresponding to the first fingerprint identifier. For example, when the first fingerprint identifier corresponds to an organization, the corresponding first case type is a case type that the organization has the right to handle. If the first case type includes the second case type, the person corresponding to the first fingerprint identifier has the right to sign. The process image can be obtained through a camera set on the signing device. Based on face recognition technology, the face identifier of the face in the process image is identified, for example: the face ID in the face in the process image. Face recognition technology belongs to the existing technology and can be implemented. The preset face identifier-fingerprint identifier library is specifically: multiple one-to-one corresponding face identifiers and second fingerprint identifiers, determine the second fingerprint identifier corresponding to the face in the process image in the above-mentioned face identifier-fingerprint identifier library. If the second fingerprint identifier corresponding to the face in the process image cannot be determined from the face identifier-fingerprint identifier library, it means that the person who is signing is not the specified signing person of the relevant department and cannot pass the verification. If the second fingerprint identifier corresponding to the face in the process image can be determined, the first fingerprint identifier and the second fingerprint identifier can be matched to determine whether they are consistent. If they are inconsistent, there may be a case of fingerprint fraud, and the verification cannot pass. If they are consistent, it means that the input fingerprint and the fingerprint of the person who is signing are consistent, and the verification passes.

[0127] This application verifies the authority of the first fingerprint identification based on the first case type and the second case type; introduces a face identification-fingerprint identification library to verify the authenticity of the first fingerprint identification, further improving the security of the verification.

[0128] In one embodiment, the signing module 3 obtains the second electronic document uploaded after the signatory signs in a standardized manner, including:

[0129] Acquire a first image of the pre-transmitted electronic document uploaded after the signatory completes the signing;

[0130] Determine a second image partially containing the signature content from the first image;

[0131] extracting signature features of the second image;

[0132] Querying a preset signature irregularity feature library, and judging whether the signature content in the second image is regular according to the signature features;

[0133] If yes, use the corresponding pre-transmitted electronic document as the second electronic document;

[0134] The determining of the second image partially containing the signature content from the first image includes:

[0135] Acquire first eigenvalues ​​of a plurality of image growth points in the first image;

[0136] Based on the first eigenvalue, construct a growth point description vector;

[0137] Searching the area of ​​the image growth point in the first image to determine at least one image search point;

[0138] Extracting a second eigenvalue of the image search point;

[0139] constructing a search point description vector based on the second eigenvalue;

[0140] Calculating a vector distance between the first description vector and the search point description vector;

[0141] If the vector distance is less than or equal to a preset distance threshold, the corresponding image search point is used as a growth point;

[0142] When all the areas to be searched are searched, clustering is performed on the image growth point and all growth points corresponding to the image growth point to obtain a third image, and the second image is selected from the third image.

[0143] The working principle and beneficial effects of the above technical solution are:

[0144] The first image can be obtained through the upload interface of the pre-uploaded electronic document in the case handling system. When judging whether the signature is standardized, blindly identifying and processing all images of the uploaded first electronic document takes up a lot of system resources, so it is urgent to solve this problem.

[0145] The specific process of determining the second image partially containing the signature content from the first image is: obtaining the first characteristic values ​​of multiple image growth points in the first image, such as the color, gradient, etc. of the image growth points. Based on the above growth characteristic values, construct a growth point description vector in, Constructing vectors based on eigenvalues ​​is an existing technology and can be implemented. Based on the same method as above, determine the second eigenvalue of the image search point in the field of the image growth point, such as the color, gradient, etc. of the image search point; the field is, for example, a circle with the image growth point as the center and a radius of 8 cm. Construct the search point description vector corresponding to the second eigenvalue in, The vector distance between the first description vector and the search point description vector is calculated, and the calculation formula of the vector distance is as follows:

[0146]

[0147] Where, d is the vector distance, a i is the first eigenvalue of the i-th dimension of the growth point description vector, b iThe second eigenvalue of the i-th dimension of the search point description vector, where n is the total dimension of the vector.

[0148] If the vector distance is less than or equal to the preset distance threshold, the corresponding image search point is used as the growth point; the distance threshold is preset manually. After the search is completed, the image growth point and the growth point corresponding to the image growth point are clustered to obtain a third image, for example: a regional image of the same color type and the same font type, and the second image is selected from the third image.

[0149] After determining the second image, based on the feature extraction technology, the signature features of the second image are extracted, such as the color of the signature and the font of the signature, etc. The use of feature extraction technology to process the image belongs to the existing technology and can be implemented. The preset signature irregularity feature library specifically includes: multiple irregular signature features, such as irregular color and sloppy handwriting, etc. The irregular signature features are pre-set by the staff to determine whether the signature content in the second image is standardized, for example: standardized. If the signature is standardized, the acquisition of the second electronic document is completed.

[0150] The present application determines a local second image of the signature content from the first image to extract signature features, thereby further improving the efficiency of extracting signature features; an irregular signature feature library is introduced to determine whether the signature is standardized based on the signature features, thereby improving the accuracy and efficiency of judging the standardization of the signature.

[0151] In one embodiment, the signature module 3 queries the signature irregularity feature library and determines whether the signature content in the second image is regular according to the signature features, including:

[0152] Matching the signature feature with each of the signature irregularity features in the signature irregularity feature library;

[0153] If there is a match, obtain the first irregular reason, and notify the corresponding signatory based on the first irregular reason;

[0154] Otherwise, it corresponds to the signature content specification in the second image.

[0155] The working principle and beneficial effects of the above technical solution are:

[0156] When judging whether the content of the signature is standardized, match the signature features with the signature irregular features in the signature irregular feature library; this is based on feature matching technology, which is an existing technology and can be implemented. Obtain the first irregular reason; when obtaining the first irregular reason, determine the signature irregular feature that matches, for example: the font type does not meet the requirements, determine the first irregular reason for the above-mentioned signature irregular feature, for example: the signatory's handwriting is not standardized, the standard signature font is regular script, the signatory's handwriting is sloppy, and the signatory is reminded based on the first irregular reason, for example: "Please use regular script when signing." If there is no match, it means that the content of the signature is standardized.

[0157] This application introduces feature matching technology to match signature features with irregular signature features in a irregular signature feature library to improve the rationality of signature standardization judgment.

[0158] In one embodiment, the signature module 3 obtains the first irregularity reason and reminds the relevant personnel accordingly based on the first irregularity reason, including:

[0159] Obtaining the signature irregularity feature that matches the signature irregularity feature library and using it as the attribution feature;

[0160] Determine a first irregularity cause based on a preset irregularity cause determination library and the attribution feature;

[0161] Get the time length from the current moment to the processing time;

[0162] Based on the preset reminder information generation template, a reminder information is generated according to the first irregularity reason and the time length, and the reminder information is sent to the corresponding signatory;

[0163] The determining of the first irregularity cause based on the preset irregularity cause determination library and the attribution feature includes:

[0164] Based on a preset causal analysis model, a causal analysis is performed on the attribution feature and the second irregular cause in the irregular cause determination library to obtain a causal value, and the causal value is associated with the corresponding second irregular cause;

[0165] Accumulate and calculate each of the causal values ​​to obtain a causal value sum;

[0166] If the causal value is greater than or equal to the preset causal value and threshold, the corresponding second irregular reason will be used as the first irregular reason.

[0167] The working principle and beneficial effects of the above technical solution are:

[0168] The attribution feature can be obtained based on the matching results corresponding to the signature feature and the signature irregular feature library, for example: sloppy handwriting. The preset irregular cause judgment library includes: multiple second irregular causes of irregular signatures, for example: using the wrong official seal and the signer not reading the signature instructions, etc. Based on the preset causal analysis model, the attribution feature and the second irregular cause in the irregular cause judgment library are causally analyzed to obtain a causal value, for example: 90. The larger the causal value, the more likely the attribution feature is caused by the corresponding second irregular cause. The preset causal analysis model is to manually list a large number of irregular signature situations in advance, and use the analysis records of the causal relationship between the signature features and the preset irregular causes in the above-mentioned irregular signature situations as training data to train the neural network model, and train to a convergent artificial intelligence network model; the preset irregular cause is: all possible causes of irregular signatures obtained based on big data, and big data technology belongs to the existing technology and can be implemented. Calculate each causal value, obtain the causal value sum, and add up the calculation as: sum calculation. If the causal value is greater than or equal to the preset causal value and threshold, for example: 220, the corresponding second irregular reason will be used as the first irregular reason. Get the time length from the current moment to the processing time, for example: 2 days. The preset reminder information generation template is, for example: "Please use a standard font to sign", generate a reminder message based on the first irregular reason and time length, and send the reminder message to the corresponding signer, for example: "The remaining processing time is 2 days, please sign in time."

[0169] This application introduces a causal analysis model to determine the second irregular cause with the largest causal relationship with the attribution characteristics as the first irregular cause, further improving the accuracy of determining the first irregular cause; introduces a reminder information generation template to generate reminder information, thereby improving the suitability of the system.

[0170] In one embodiment, the signature module 3 generates a template based on the reminder information, and generates reminder information according to the first irregularity reason and the time length, including:

[0171] Determine reminder content based on the first irregularity reason and the time length;

[0172] Obtaining a solution strategy corresponding to the first irregularity reason;

[0173] Based on a preset strategy complexity analysis model, performing complexity analysis on the solution strategy to determine the complexity of the solution strategy;

[0174] Query the preset complexity-predicted solution time database to determine the predicted solution time corresponding to the solution strategy;

[0175] Calculate the time difference between the time length and the predicted solution time length;

[0176] Determine reminder information according to the time difference and the reminder content;

[0177] The determining of reminder information according to the time difference and the reminder content includes:

[0178] Based on the preset reminder color marking rule, the reminder content is marked with a corresponding reminder color according to the time difference, and the marked reminder content is used as the reminder information.

[0179] The working principle and beneficial effects of the above technical solution are:

[0180] Based on the first non-standard reason and the time length, determine the reminder content, for example: "Please complete the adjustment of the electronic signature before x month x day". When obtaining the solution strategy, input the first non-standard reason into the preset neural network model to determine the solution strategy. The preset neural network model is specifically: using the records of multiple people correcting the non-standard signature behavior of the signer as training data, and training to a convergent artificial intelligence network model. Based on the preset policy complexity analysis model, determine the complexity of the solution strategy. The higher the complexity, the longer it takes to correct the non-standard signature; the preset policy complexity analysis model is specifically: using the records of multiple people analyzing the complexity of the policy as training data, and training to a convergent artificial intelligence network model. The preset complexity-predicted solution time library is specifically: multiple one-to-one corresponding complexities and predicted solution times, and the predicted solution time is the estimated time to correct the non-standard signature.

[0181] Since each time a new process is reinitiated it takes more time, in order to avoid delays in the case handling process, the more likely the process is to be delayed, the more important it is to remind the signatory. Therefore, the time difference between the calculated time length and the predicted resolution time is calculated, for example: 12 hours.

[0182] The preset reminder color marking rules are, for example: if the time difference is greater than or equal to two days, the reminder content is marked in blue; if the time difference is greater than or equal to 1 day and less than two days, the reminder content is marked in yellow; if the time difference is less than 1 day, the reminder content is marked in red. The marked reminder content is used as the reminder information.

[0183] This application introduces a strategy complexity analysis model to determine the complexity of the solution strategy for the first non-standard cause, thereby improving the accuracy of complexity acquisition; the introduced complexity-predicted solution time library determines the predicted solution time corresponding to the complexity, and calculates the time difference between the time length and the predicted solution time, thereby further improving the accuracy of the time difference; the introduction of reminder color marking rules determines the marking color of the reminder content according to the time difference, which is more appropriate and intelligent.

[0184] The embodiment of the present invention provides a case handling method based on digital documents, such as Figure 2 As shown, including:

[0185] Step 1: Obtain the handling task of the case to be handled, the handling task includes: case information and handling time;

[0186] Step 2: Based on the case information, generate a first electronic document of the case;

[0187] Step 3: Based on the electronic signature technology, the first electronic document is signed to obtain a signed second electronic document;

[0188] Step 4: Distribute the corresponding second electronic document with the completed signature to the preset delivery node during the processing time.

[0189] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A case handling system based on digital documents, characterized in that: include: An acquisition module is used to acquire the handling tasks of the cases to be handled, wherein the handling tasks include: case information and handling time; A generating module, used for generating a first electronic document of the case based on the case information; A signature module, used to sign the first electronic document based on the electronic signature technology to obtain a signed second electronic document; A distribution module, used to distribute the corresponding second electronic document with completed signature to a preset delivery node at the processing time; The signature module performs the following operations: Acquire a second communication node of a signatory of the first electronic document, and send the first electronic document to the second communication node; Based on a preset notification rule, notifying the signatory to receive the first electronic document; After the notification is completed, the first fingerprint identifier of the preset fingerprint digital signature device is input when the signatory signs; Verifying the legitimacy of the first fingerprint identification; If the verification is successful, obtain the second electronic document uploaded after the corresponding signatory's standardized signature; The signing module obtains the second electronic document uploaded after the signatory signs the document in a standardized manner, including: Acquire a first image of the pre-transmitted electronic document uploaded after the signatory completes the signing; Determine a second image partially containing the signature content from the first image; extracting signature features of the second image; querying a signature irregularity feature database, and judging whether the signature content in the second image is regular according to the signature features; If yes, use the corresponding pre-transmitted electronic document as the second electronic document; The signature module queries the signature irregularity feature library and determines whether the signature content in the second image is regular according to the signature feature, including: Matching the signature feature with each of the signature irregularity features in the signature irregularity feature library; If there is a match, obtain the first irregularity reason, and remind the corresponding signatory accordingly based on the first irregularity reason; Otherwise, the signature content specification corresponding to the second image; The signing module obtains the first irregularity reason, and reminds the corresponding signatory based on the first irregularity reason, including: Obtaining the signature irregularity feature that matches the signature irregularity feature library and using it as the attribution feature; Determine a first irregularity cause based on a preset irregularity cause determination library and the attribution feature; Get the time length from the current moment to the processing time; Based on the preset reminder information generation template, a reminder information is generated according to the first irregularity reason and the time length, and the reminder information is sent to the corresponding signatory; The signature module generates a reminder message based on a reminder message generation template and according to the first irregularity reason and the time length, including: Determine reminder content based on the first irregularity reason and the time length; Obtaining a solution strategy corresponding to the first irregularity reason; Based on a preset strategy complexity analysis model, performing complexity analysis on the solution strategy to determine the complexity of the solution strategy; Query the preset complexity-predicted solution time database to determine the predicted solution time corresponding to the solution strategy; Calculate the time difference between the time length and the predicted solution time length; Determine reminder information according to the time difference and the reminder content.

2. A case handling system based on digital documents as claimed in claim 1, characterized in that: The acquisition module performs the following operations: Obtain the handling tasks entered by the personnel who log in to the case handling system in the case handling task input interface; and / or, Obtaining communication information of a preset first communication node; Analyze the communication information and obtain the processing tasks sent by the personnel.

3. A case handling system based on digital documents as claimed in claim 1, characterized in that: The generation module performs the following operations: Splitting the case information to obtain multiple information items; Acquire a first information type corresponding to the information item; Acquire a second information type required to generate the first electronic document; Determining, based on a first information type corresponding to the information item and a second information type required to generate the first electronic document, a generation information item in the information item required to generate the first electronic document; Based on a preset electronic document generation template, the first electronic document is generated according to the generation information item.

4. A case handling system based on digital documents as claimed in claim 1, characterized in that: The signature module verifies the legitimacy of the first fingerprint identification, including: Obtaining a first case type that can be signed and processed corresponding to the first fingerprint identifier; Obtaining a second case type corresponding to the first electronic document; Determine whether the second case type is the same as any of the first case types; If yes, obtaining a process image corresponding to the signature of the signer; Based on face recognition technology, identifying a face identifier of a face in the process image; Querying a preset face identifier-fingerprint identifier library to determine a second fingerprint identifier corresponding to the face identifier; It is determined whether the first fingerprint identifier is consistent with the second fingerprint identifier. If so, the first fingerprint identifier is legal.

5. A case handling method based on digital documents, characterized in that: include: Step 1: Obtain the handling task of the case to be handled, the handling task includes: case information and handling time; Step 2: Based on the case information, generate a first electronic document of the case; Step 3: Based on the electronic signature technology, the first electronic document is signed to obtain a signed second electronic document; Step 4: Distribute the corresponding second electronic document with the signature completed to a preset delivery node at the processing time; The step 3: signing the first electronic document based on the electronic signature technology to obtain a signed second electronic document includes: Acquire a second communication node of a signatory of the first electronic document, and send the first electronic document to the second communication node; Based on a preset notification rule, notifying the signatory to receive the first electronic document; After the notification is completed, the first fingerprint identifier of the preset fingerprint digital signature device is input when the signatory signs; Verifying the legitimacy of the first fingerprint identification; If the verification is successful, obtain the second electronic document uploaded after the corresponding signatory's standardized signature; The step of obtaining the second electronic document uploaded after the signatory has signed the document in a standardized manner comprises: Acquire a first image of the pre-transmitted electronic document uploaded after the signatory completes the signing; Determine a second image partially containing the signature content from the first image; extracting signature features of the second image; querying a signature irregularity feature database, and judging whether the signature content in the second image is regular according to the signature features; If yes, use the corresponding pre-transmitted electronic document as the second electronic document; The querying of the signature irregularity feature database and judging whether the signature content in the second image is regular according to the signature feature include: Matching the signature feature with each of the signature irregularity features in the signature irregularity feature library; If there is a match, obtain the first irregularity reason, and remind the corresponding signatory accordingly based on the first irregularity reason; Otherwise, the signature content specification corresponding to the second image; The obtaining of the first irregularity reason and giving a corresponding reminder to the corresponding signatory based on the first irregularity reason includes: Obtaining the signature irregularity feature that matches the signature irregularity feature library and using it as the attribution feature; Determine a first irregularity cause based on a preset irregularity cause determination library and the attribution feature; Get the time length from the current moment to the processing time; Based on the preset reminder information generation template, a reminder information is generated according to the first irregularity reason and the time length, and the reminder information is sent to the corresponding signatory; The generation template based on the reminder information generates the reminder information according to the first irregularity reason and the time length, including: Determine reminder content based on the first irregularity reason and the time length; Obtaining a solution strategy corresponding to the first irregularity reason; Based on a preset strategy complexity analysis model, performing complexity analysis on the solution strategy to determine the complexity of the solution strategy; Query the preset complexity-predicted solution time database to determine the predicted solution time corresponding to the solution strategy; Calculate the time difference between the time length and the predicted solution time length; Determine reminder information according to the time difference and the reminder content.

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