Disclosure of Invention
The invention aims to provide a digital supervision system based on intelligent management aiming at the defects.
The invention adopts the following technical scheme:
A digital supervision system based on intelligent treatment comprises an intelligent guiding module, a flow management module, an intelligent executing module and a supervision inquiring module;
The intelligent guiding module is used for analyzing the demands of users and providing operation guiding, the flow management module is used for controlling and managing the business flow, the intelligent executing module is used for carrying out specific operation on each job in the flow, and the supervision and inquiry module is used for inquiring and supervising the business information.
The intelligent guiding module comprises an intelligent interaction unit, a text analysis unit and a guiding output unit, wherein the intelligent interaction unit is used for providing a question-answering interface to acquire the requirement information of a user, the text analysis unit is used for carrying out content analysis on answer texts of the user, and the guiding output unit is used for outputting flow guiding information.
The flow management module comprises an item classification unit, a path identification unit and a file transmission unit, wherein the item classification unit is used for classifying service items and storing flow path information corresponding to each service item, the path identification unit is used for identifying and acquiring address information of next operation, and the file transmission unit is used for receiving and transmitting files generated and required by each operation.
The intelligent execution module comprises a file verification unit, an automatic judgment unit and an execution processing unit, wherein the file verification unit is used for verifying file content, the automatic judgment unit is used for judging whether the file needs manual operation or not, and the execution processing unit is used for processing the file and generating a new file.
The supervision query module comprises a progress query unit, a policy query unit and a problem feedback unit, wherein the progress query unit is used for querying the flow progress of a service, the policy query unit is used for querying policy information according to each job, and the problem feedback unit is used for feeding back the job content with problems.
Further, the text parsing unit comprises a keyword extraction processor and a keyword mapping processor, wherein the keyword extraction processor is used for extracting keyword information in answer content, and the keyword mapping processor is used for mapping the keyword information to obtain a selection value.
Further, the keyword mapping processor calculates the selection value V according to the following formula:
；
Wherein M is the number of keywords, xi is the mapping value of the ith keyword, and N is the number of selection intervals.
Further, the policy query unit comprises a policy summarizing processor, a job mapping processor and a query evaluation processor, wherein the policy summarizing processor is used for collecting and storing published policy information, the job mapping processor is used for establishing a mapping relation between each job and relevant policy information, and the query evaluation processor is used for carrying out query processing on jobs in a service and evaluating policy rationality of the jobs.
Further, the query evaluation processor calculates an adaptation value P between the job and the single mapping policy according to:
；
where n is the number of requirements contained in the policy, and Ci represents the condition of the job being compatible with the i-th requirement.
The query evaluation processor calculates a policy rational index Q for the job according to:
；
Where m is the number of policies for the job mapping, Pi represents the adaptation value of the job and the ith mapping policy, and wi represents the weight of the ith mapping policy.
The beneficial effects obtained by the invention are as follows:
The system can rapidly and accurately position the actual business requirement of the user through the intelligent guiding module, is convenient for inexperienced users to timely start business processing, adopts automatic processing to replace manual processing as much as possible in the business processing process, reduces the probability of artificial cheating, enables the user to inquire the specific information of each operation step in the business processing process, enables the system to evaluate the operation, enables the user to monitor and feed back more effectively based on the evaluation result, and improves the fairness of monitoring.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides a digital supervision system based on intelligent treatment, which comprises an intelligent guiding module, a flow management module, an intelligent executing module and a supervision inquiring module in combination with fig. 1.
The intelligent guiding module is used for analyzing the demands of users and providing operation guiding, the flow management module is used for controlling and managing the business flow, the intelligent executing module is used for carrying out specific operation on each job in the flow, and the supervision and inquiry module is used for inquiring and supervising the business information.
The intelligent guiding module comprises an intelligent interaction unit, a text analysis unit and a guiding output unit, wherein the intelligent interaction unit is used for providing a question-answering interface to acquire the requirement information of a user, the text analysis unit is used for carrying out content analysis on answer texts of the user, and the guiding output unit is used for outputting flow guiding information.
The flow management module comprises an item classification unit, a path identification unit and a file transmission unit, wherein the item classification unit is used for classifying service items and storing flow path information corresponding to each service item, the path identification unit is used for identifying and acquiring address information of next operation, and the file transmission unit is used for receiving and transmitting files generated and required by each operation.
The intelligent execution module comprises a file verification unit, an automatic judgment unit and an execution processing unit, wherein the file verification unit is used for verifying file content, the automatic judgment unit is used for judging whether the file needs manual operation or not, and the execution processing unit is used for processing the file and generating a new file.
The supervision query module comprises a progress query unit, a policy query unit and a problem feedback unit, wherein the progress query unit is used for querying the flow progress of a service, the policy query unit is used for querying policy information according to each job, and the problem feedback unit is used for feeding back the job content with problems.
The text analysis unit comprises a keyword extraction processor and a keyword mapping processor, wherein the keyword extraction processor is used for extracting keyword information in answer content, and the keyword mapping processor is used for mapping the keyword information to obtain a selection value.
The keyword mapping processor calculates a selection value V according to the following formula:
；
Wherein M is the number of keywords, xi is the mapping value of the ith keyword, and N is the number of selection intervals.
The policy query unit comprises a policy summarizing processor, a job mapping processor and a query evaluation processor, wherein the policy summarizing processor is used for collecting and storing published policy information, the job mapping processor is used for establishing a mapping relation between each job and related policy information, and the query evaluation processor is used for querying and processing the jobs in the business and evaluating the policy rationality of the jobs.
The query evaluation processor calculates an adaptation value P between the job and the single mapping policy according to:
；
where n is the number of requirements contained in the policy, and Ci represents the condition of the job being compatible with the i-th requirement.
The query evaluation processor calculates a policy rational index Q of the job according to the following formula.
；
Where m is the number of policies for the job mapping, Pi represents the adaptation value of the job and the ith mapping policy, and wi represents the weight of the ith mapping policy.
Embodiment two: the embodiment includes all the matters in the first embodiment, and provides a digital supervision system based on intelligent management, which comprises an intelligent guiding module, a flow management module, an intelligent executing module and a supervision query module.
The intelligent guiding module is used for analyzing the demands of users and providing operation guiding, the flow management module is used for controlling and managing the business flow, the intelligent executing module is used for carrying out specific operation on each job in the flow, and the supervision and inquiry module is used for inquiring and supervising the business information.
Referring to fig. 2, the intelligent guiding module includes an intelligent interaction unit, a text analysis unit and a guiding output unit, wherein the intelligent interaction unit is used for providing a question-answering interface to obtain the requirement information of the user, the text analysis unit is used for analyzing the content of the answer text of the user, and the guiding output unit is used for outputting the flow guiding information.
Referring to fig. 3, the process management module includes an item classification unit, a path identification unit and a file transmission unit, where the item classification unit is used to classify service items and store process path information corresponding to each service item, the path identification unit is used to identify and acquire address information of a next job, and the file transmission unit is used to receive and send files generated and required by each job.
Referring to fig. 4, the intelligent execution module includes a file verification unit, an automation judgment unit, and an execution processing unit, where the file verification unit is used to verify the content of a file, the automation judgment unit is used to judge whether the file needs manual work, and the execution processing unit is used to process the file and generate a new file.
The supervision query module comprises a progress query unit, a policy query unit and a problem feedback unit, wherein the progress query unit is used for querying the flow progress of a service, the policy query unit is used for querying policy information according to each job, and the problem feedback unit is used for feeding back the job content with problems.
The intelligent interaction unit comprises an interaction processor, an interaction database and a question selection processor, wherein the interaction processor is used for displaying interaction questions and collecting answer contents of users, the interaction database is used for storing the interaction questions, and the question selection processor is used for selecting the interaction questions to be displayed from the interaction database.
The text analysis unit comprises a keyword extraction processor and a keyword mapping processor, wherein the keyword extraction processor is used for extracting keyword information in answer content, and the keyword mapping processor is used for mapping the keyword information to obtain a selection value.
The guiding output unit comprises a flow output processor and a link injection processor, wherein the flow output processor selects flow information output of corresponding business items based on the final interaction questions and answers, and the link injection processor is used for adding link information into output contents.
The process of outputting the flow guide information by the intelligent guide module comprises the following steps:
s1, displaying an interaction question and collecting answer content by an interaction processor;
S2, the text analysis unit processes based on the answer content to obtain a selection value;
S3, selecting a next interaction problem from the interaction database by the problem selection processor according to the selection value;
S4, repeating the steps S1 to S3 until the ultimate interaction problem is selected;
and S5, selecting a corresponding flow by the flow output processor based on the ultimate interaction question and the answer content, and outputting the corresponding flow to the user after adding the link information.
In addition to the final interactive questions, each interactive question has a plurality of lower interactive questions, the question selection processor selects from the lower interactive questions, the range of selection values is [0,1], and the selection values are divided into N sections equally, N is the number of sections, which is equal to the number of lower interactive questions, and each lower interactive question occupies one section.
The keyword mapping processor calculates a selection value V according to the following formula:
；
Wherein, M is the number of keywords, xi is the mapping value of the ith keyword, and the value range of the mapping value is {1,2,3, & gt, N }.
The item classification unit comprises a classification index processor and a flow information register, wherein the classification index processor is used for classifying the service items and indexing the service items based on a classification tree, and the flow information register is used for storing the flow information of each service item.
The path identifying unit comprises a path extracting processor, a path correcting processor and a target output processor, wherein the path extracting processor is used for extracting path information of a file, the path correcting processor is used for comparing the path information with the flow information to determine the next operation content, and the target output processor is used for sending an operation address to the file transmission unit.
The file transmission unit comprises a file receiving processor, a queue management processor and a file sending processor, wherein the file processor is used for receiving files, the queue management processor is used for forming the received files into a queue and managing the received files, and the file sending processor is used for sending the files in the queue to corresponding job addresses.
The intelligent execution module is composed of execution nodes, each execution node is used for executing different job contents, each execution node comprises a file verification unit, an automatic judgment unit and an execution processing unit, and each execution node is provided with an independent job address.
The document verification unit comprises an element extraction processor and an element verification processor, wherein the element extraction processor is used for extracting element information from a document, and the element verification processor is used for performing verification processing on the element information.
The automatic judging unit comprises a rule matching processor, a responsible person information register and a selection output processor, wherein the rule matching processor is used for judging whether manual processing is needed or not based on preset rule content matching, the responsible person information register is used for storing communication information of a responsible person, and the selection output processor is used for sending a file to the responsible person or an execution processing unit.
The execution processing unit comprises an automatic processor, a file generation processor and a path editing processor, wherein the automatic processor is used for receiving and processing the file directly sent by the selection output processor, the file generation processor is used for generating a corresponding new file based on a processing result, and the path editing processor is used for editing path information in the new file.
The progress query unit comprises a progress feedback processor, a user verification processor and a detail display processor, wherein the progress feedback processor is used for receiving flow progress data of a stored business project, the user verification processor is used for verifying the identity of a user, and the detail display processor is used for displaying the specific processing condition of each job in the completed progress.
Referring to fig. 5, the policy query unit includes a policy summarizing processor, a job mapping processor, and a query evaluation processor, where the policy summarizing processor is configured to collect and store published policy information, the job mapping processor is configured to establish a mapping relationship between each job and related policy information, and the query evaluation processor is configured to query a job in a service and evaluate policy rationality of the job.
The problem feedback unit comprises a problem selection processor and a feedback packaging processor, wherein the problem processor is used for selecting a job with a problem and acquiring related information, and the feedback packaging processor is used for packaging the problem information needing to be fed back and uploading the problem information to a supervision department.
The query evaluation processor calculates an adaptation value P between the job and the single mapping policy according to:
；
Wherein n is the number of requirements contained in the policy, Ci represents the condition of the job being compatible with the ith requirement, 1 represents the compliance with the policy requirement, and 0 represents the non-compliance with the policy requirement.
The query evaluation processor calculates a policy rational index Q for the job according to:
；
Where m is the number of policies for the job mapping, Pi represents the adaptation value of the job and the ith mapping policy, and wi represents the weight of the ith mapping policy.
The weight of the mapping policy is calculated according to the following formula:
；
wherein,For the mapping frequency of the ith mapping policy, ni is the required number contained in the ith mapping policy.
For example, a mapping policy has a mapping relationship with b jobs, and a total of a jobs in the system, the mapping frequency is。
The user decides whether to perform feedback or not on the basis of the calculated policy rational index.
The i appearing above is an ordinal number used to represent a sequence number.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.