CN110659348A - Group enterprise universe risk fusion analysis method and system based on knowledge reasoning - Google Patents
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Abstract
The invention discloses a group enterprise universe risk fusion analysis method and a system based on knowledge reasoning, wherein the method comprises the following steps: establishing a risk analysis model based on a knowledge graph technology, wherein the risk analysis model comprises knowledge points and risk rules; extracting knowledge point information from the project document, and matching the knowledge point information with a risk rule of a risk analysis model; and writing the risk points into the database if the risk points are obtained through matching. The risk analysis model is established through the knowledge map technology, then the project documents can be automatically analyzed, the knowledge reasoning is carried out, then the risk automatic prompt of the project documents can be carried out, the risk prompt efficiency is improved, the risk prompt workload is reduced, the risk prompt can be carried out in the project operation process, and the risk condition is avoided as much as possible afterwards.
Description
Technical Field
The invention relates to the technical field of software systems, in particular to a group enterprise universe risk fusion analysis method and system based on knowledge reasoning.
Background
In order to improve the operation efficiency of enterprises, group enterprises adopt office software systems. The large-scale construction of group enterprises and other projects can carry out links such as project establishment, project bid, project contract signing, project construction, project acceptance and the like. These links form documentation material that is stored within the office software system. And then, when the project is audited, personnel are required to fetch a large amount of document materials, and the process of the project is audited according to self auditing experience and auditing rules. The workload is very large, and some problems of auditing can not be compensated, so that great risk is caused.
Disclosure of Invention
Therefore, a method and a system for fusion analysis of global risks of group enterprises based on knowledge reasoning are needed to be provided, so that the problems of large workload and poor effectiveness caused by the fact that risks possibly occurring in the existing project in progress need to be found manually are solved.
In order to achieve the above object, the inventor provides a method for fusion analysis of global risk of group enterprise based on knowledge reasoning, comprising the following steps:
establishing a risk analysis model based on a knowledge graph technology, wherein the risk analysis model comprises knowledge points and risk rules;
extracting knowledge point information from the project document, and matching the knowledge point information with a risk rule of a risk analysis model;
and writing the risk points into the database if the risk points are obtained through matching.
Further, the method also comprises the following steps:
acquiring documents of the office software system in the same project and different stages, and extracting knowledge points of the documents;
comparing the extracted knowledge points of the document, and judging whether the similarity value of the comparison result is greater than a threshold value or not;
and if the current value is less than the preset value, writing risk prompt information into the database.
Further, the method also comprises the following steps: and acquiring values of key knowledge points in the documents, judging whether the values of the knowledge point information between different documents are consistent, and if not, writing risk prompt information into a database.
Further, the method also comprises the following steps: acquiring the time of the documents of the same project at different stages, judging whether the time sequence of the different documents meets the preset stage time sequence, and if not, writing a risk prompt into a database.
Further, the method also comprises the following steps: and obtaining the money amounts of the documents of the same project at different stages, judging whether the money amounts at different stages meet the preset money amount requirement of the project, and if not, writing a risk prompt into a database.
Further, the method also comprises the following steps: the method comprises the steps of obtaining a document at a preset position of an office software system, obtaining a signature picture at the position of the document, sending the signature picture to a signature comparison interface, obtaining a return result of the signature comparison interface, and writing a signature risk prompt into a database if the signature picture does not correspond to the signature comparison interface.
Further, the method also comprises the following steps: the method comprises the steps of obtaining a document at a preset position of an office software system, obtaining a signature picture at the position of the document, sending the signature picture to a signature recognition interface, obtaining a return result of the signature recognition interface, comparing the return result with a name of a person in charge in a database, and writing a signature risk prompt into the database if the return result does not correspond to the name of the person in charge in the database.
Further, the method also comprises the following steps: acquiring time and time limit in a document and a required document name, generating correspondence between deadline time and the document name, searching whether a document corresponding to the document name is stored in a project position document or not after system time exceeds the deadline time, and writing an overdue risk prompt into a database if the corresponding document is not stored.
Further, the step of obtaining the documents of the same project at different stages comprises the following steps: and acquiring a document of a project document storage position in the office software system, opening the document, acquiring a title name in the document, and determining the project stage of the document according to the title name.
The invention provides a knowledge reasoning-based group enterprise global risk fusion analysis system which comprises a storage and a processor, wherein a computer program is stored in the storage, and when the computer program is executed by the processor, the steps of the method are realized.
Different from the prior art, the risk analysis model is established through the knowledge map technology in the technical scheme, then the project documents can be automatically analyzed, the knowledge reasoning is carried out, then the risk automatic prompt of the project documents can be carried out, the risk prompt efficiency is improved, the risk prompt workload is reduced, the risk prompt can be carried out in the project operation process, and the risk condition is avoided as much as possible afterwards.
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FIG. 1 is a flow chart of a method according to an embodiment.
Detailed Description
To explain technical contents, structural features, and objects and effects of the technical solutions in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Referring to fig. 1, the present embodiment provides a method for fusion analysis of global risk of group enterprise based on knowledge reasoning, which includes the following steps: step S101, establishing a risk analysis model based on knowledge graph technology, wherein the risk analysis model comprises knowledge points and risk rules, and in the invention, the knowledge points are contents extracted from a document according to the knowledge point division rules, and if the contents can be divided according to semantics; the risk rules, i.e. the content of the knowledge points, satisfy the rules of the risk hints, which are explained in the following embodiments. The risk analysis model of the present invention may be stored in a server that simultaneously runs the method steps of the present invention and communicates with the office software systems used by the corporate enterprise. The office software system at least comprises a project document uploading function, so that project documents can be uploaded to the office software system, and the office software system comprises a database and can record relevant information of the uploaded documents, such as storage positions, uploading time and the like.
Then, the server of the invention can enter step S102 to extract knowledge point information from the project document, and match the knowledge point information with the risk rule of the risk analysis model; and step S103, if the risk points are obtained through matching, writing the risk points into the database. Extracting knowledge point information generally needs to acquire character information of a document from the document, and if the document is a picture, OCR recognition is carried out to acquire the character information of the document. Knowledge points are then extracted by knowledge point partitioning rules similar to the risk analysis model. The server can scan newly added documents of the office software system at regular time or directly send information to the server when the office software system acquires newly uploaded documents, and then the server automatically acquires the documents, extracts knowledge points, performs model matching and automatically prompts risks. The prompted risk points can be written into a database of the office software system, so that the office software system can prompt risks. The risk prompt system can also write in the database of the project personnel, then the database of the project personnel can be read and displayed, the project personnel can conveniently obtain the risk prompt in real time, the risk prompt can be realized in the process of project progress, and the condition that the risk is generated afterwards and the situation that the risk cannot be retrieved is avoided. And meanwhile, the risk prompting efficiency is improved, and the risk prompting workload is reduced.
In some embodiments, the degree of relevance of the document may be used as knowledge point information of the risk analysis model, so as to avoid mismatching of project documents, such as a case of document uploading error. The invention further comprises the following steps: the method comprises the steps of obtaining documents of the same project of the office software system at different stages, extracting knowledge points of the documents, and determining the documents of the same project according to the incidence relation between the names (numbers) of the projects in the office software system and the documents. Then comparing the extracted knowledge points of the document, and judging whether the similarity value of the comparison result is greater than a threshold value or not, wherein if the similarity value is too low, the risk rule is determined; and if the current value is less than the preset value, writing risk prompt information into the database. During comparison, overall similarity comparison is generally performed, for example, 100 words are extracted from a document at a project pre-research stage, 80 words are extracted from a project-based document, a similar word is too low, for example, the similar word can be set to be half of the average value of the sum of the two words, for example, 45 words, if the similar word is more than 45 words, the document similarity is considered to be greater than a threshold value, no risk is prompted, and if the similarity is too low, a risk is prompted, so that a person can open the document and look up the content to confirm whether the document uploading is actually wrong.
In some embodiments, the value of the same content in the project document may be used as knowledge point information in the risk analysis model, and the method further includes the following steps: and acquiring values of key knowledge points (to prompt risks) in the documents, judging whether the values of the knowledge point information between different documents are consistent, and writing the risk prompt information into a database if the values of the knowledge point information between different documents are inconsistent. The key knowledge point content can be the content of the same value of each document such as construction units, standing time and the like, and if the values of the extracted content are not consistent, the risk exists.
In some embodiments, the document time and the document content in the document can be used as knowledge point information in the risk analysis model, and the method further includes the following steps: acquiring the time of the documents of the same project at different stages, judging whether the time sequence of the different documents meets the preset stage time sequence, and if not, writing a risk prompt into a database. Generally, the project document is to satisfy the timeline of normal document generation, such as first available research documents, then available project documents, and finally contractual documents, acceptance documents, etc. And if the time in the document does not follow the specified sequence, the document is risky, and a prompt is required.
In some embodiments, the amount in the document may be used as knowledge point information in the risk analysis model, and the method further includes the following steps: and obtaining the money amounts of the documents of the same project at different stages, judging whether the money amounts at different stages meet the preset money amount requirement of the project, and if not, writing a risk prompt into a database. Generally, the amount of money at different stages differs by a certain proportion, which cannot exceed the proportion, the proportion can be used as a risk rule, and by acquiring the amount of money data and matching the risk rule, when the amount of money of a project is not matched, the risk prompt can be automatically carried out, so that the project is prevented from going to the next step to bring greater risk.
In some embodiments, the signature handwriting data may be used as knowledge point information of the risk analysis model, and the method further includes the following steps: the method comprises the steps of obtaining a document at a preset position of an office software system, obtaining a signature picture at the position of the document, sending the signature picture to a signature comparison interface, obtaining a return result of the signature comparison interface, and writing a signature risk prompt into a database if the signature picture does not correspond to the signature comparison interface. The preset location, i.e., the location of the storage of the document, may be obtained, for example, by interacting with an office software system. The document position is the position of the document to be signed by the same signer, and all signatures of the same person in the project can be acquired by acquiring signature pictures at different positions. The signature comparison interface can be a third-party interface, so that the handwriting comparison is realized, if the handwriting does not correspond to the third-party interface, the handwriting can be acquired by the server and prompted, and the risk problem that the project file is not signed by the user is avoided.
In some embodiments, the signature data may be used as knowledge point information of the risk analysis model, and the method further includes the following steps: the method comprises the steps of obtaining a document at a preset position of an office software system, obtaining a signature picture at the position of the document, sending the signature picture to a signature recognition interface, obtaining a return result of the signature recognition interface, comparing the return result with a name of a person in charge in a database, and writing a signature risk prompt into the database if the return result does not correspond to the name of the person in charge in the database. Therefore, the automatic prompt can be carried out when the person who signs is different from the person who requests the signature of the document, and the person who does not have the signature authority is prevented from signing.
In some embodiments, the term information may be used as knowledge point information of the risk analysis model, and the method further includes the following steps: acquiring time and deadline in a document and a required document name, generating correspondence between deadline and the document name, searching whether a document corresponding to the document name is stored in a project position document or not after system time (namely time for operating a system of the method) exceeds the deadline, and writing an overdue risk prompt into a database if the corresponding document is not stored. In many cases, a project has a regulation on a time node, and then the time node is up to upload a corresponding document as a node certification for completing the time node, such as a regular maintenance report and a subscription bill to be paid within a certain period. The invention can extract the time and automatically monitor, if the document is not detected after the expiration, the project operation requirement is not satisfied, and the risk exists.
In the above embodiment, the documents at different stages of acquiring the unified project may be determined according to the file names of the documents, or the names associated with the documents may be acquired from the database. In certain embodiments, the following steps may be followed: and acquiring a document of a project document storage position in the office software system, opening the document, acquiring a title name in the document, and determining the project stage of the document according to the title name.
The invention provides a knowledge reasoning-based group enterprise global risk fusion analysis system which comprises a storage and a processor, wherein a computer program is stored in the storage, and when the computer program is executed by the processor, the steps of the method are realized. According to the system, the risk analysis model is established through the knowledge map technology, then the project documents can be automatically analyzed, the knowledge reasoning is carried out, then the risk automatic prompt of the project documents can be carried out, the risk prompt efficiency is improved, the risk prompt workload is reduced, the risk prompt can be carried out in the project operation process, and the risk condition is avoided as much as possible afterwards.
It should be noted that, although the above embodiments have been described herein, the invention is not limited thereto. Therefore, based on the innovative concepts of the present invention, the technical solutions of the present invention can be directly or indirectly applied to other related technical fields by making changes and modifications to the embodiments described herein, or by using equivalent structures or equivalent processes performed in the content of the present specification and the attached drawings, which are included in the scope of the present invention.
Claims (10)
1. A group enterprise universe risk fusion analysis method based on knowledge reasoning is characterized by comprising the following steps:
establishing a risk analysis model based on a knowledge graph technology, wherein the risk analysis model comprises knowledge points and risk rules;
extracting knowledge point information from the project document, and matching the knowledge point information with a risk rule of a risk analysis model;
and writing the risk points into the database if the risk points are obtained through matching.
2. The method of claim 1, further comprising the steps of:
acquiring documents of the office software system in the same project and different stages, and extracting knowledge points of the documents;
comparing the extracted knowledge points of the document, and judging whether the similarity value of the comparison result is greater than a threshold value or not;
and if the current value is less than the preset value, writing risk prompt information into the database.
3. The method of claim 1, further comprising the steps of: and acquiring values of key knowledge points in the documents, judging whether the values of the knowledge point information between different documents are consistent, and if not, writing risk prompt information into a database.
4. The method of claim 1, further comprising the steps of: acquiring the time of the documents of the same project at different stages, judging whether the time sequence of the different documents meets the preset stage time sequence, and if not, writing a risk prompt into a database.
5. The method of claim 1, further comprising the steps of: and obtaining the money amounts of the documents of the same project at different stages, judging whether the money amounts at different stages meet the preset money amount requirement of the project, and if not, writing a risk prompt into a database.
6. The method of claim 1, further comprising the steps of: the method comprises the steps of obtaining a document at a preset position of an office software system, obtaining a signature picture at the position of the document, sending the signature picture to a signature comparison interface, obtaining a return result of the signature comparison interface, and writing a signature risk prompt into a database if the signature picture does not correspond to the signature comparison interface.
7. The method of claim 1, further comprising the steps of: the method comprises the steps of obtaining a document at a preset position of an office software system, obtaining a signature picture at the position of the document, sending the signature picture to a signature recognition interface, obtaining a return result of the signature recognition interface, comparing the return result with a name of a person in charge in a database, and writing a signature risk prompt into the database if the return result does not correspond to the name of the person in charge in the database.
8. The method of claim 1, further comprising the steps of: acquiring time and time limit in a document and a required document name, generating correspondence between deadline time and the document name, searching whether a document corresponding to the document name is stored in a project position document or not after system time exceeds the deadline time, and writing an overdue risk prompt into a database if the corresponding document is not stored.
9. The method of claim 2, wherein the step of obtaining documents of the same project at different stages comprises the steps of: and acquiring a document of a project document storage position in the office software system, opening the document, acquiring a title name in the document, and determining the project stage of the document according to the title name.
10. A group enterprise universe risk fusion analysis system based on knowledge reasoning is characterized in that: comprising a memory, a processor, said memory having stored thereon a computer program which, when being executed by the processor, carries out the steps of the method according to any one of claims 1 to 9.
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