CN113052544A - Method and device for intelligently adapting workflow according to user behavior and storage medium - Google Patents
Method and device for intelligently adapting workflow according to user behavior and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device and a storage medium for intelligently adapting workflow according to user behavior, wherein the method comprises the following steps: entering a batch text: adopting a template library to template commonly used words and official standard words; analyzing and processing the content in the batch text, extracting key information and accumulating user behavior data; workflow intelligent adaptation: acquiring key information of the information input by the batch text; analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow; self-adapting to a new work flow and a new transfer node; and (3) workflow driving: and driving the approval flow service to continuously flow downwards through the newly adapted workflow. According to the invention, in the artificial intelligence technology enabling workflow technology, technologies such as natural language processing and user behavior analysis in the artificial intelligence technology are utilized, the approval habits of the user are analyzed through semantic analysis on the approval documents in the approval business, and the method has the characteristics of intelligent adaptation of the workflow and intelligent driving of the transfer nodes.
Description
Technical Field
The invention relates to the technical field of office work, in particular to a method, a device and a storage medium for intelligently adapting workflow according to user behaviors.
Background
In the traditional Office Automation (OA) system approval workflow service, after a user inputs a comment in an approval form of the system, the user needs to continue to select a transactor/department and a process node of the next step in an interface, and some users who are older and unfamiliar with computer operation are often contradictory to the comment. In order to meet the requirements of such users, some OA systems design the approval process as a star structure, and submit the approval findings to a central node ("secretary") after each step of completion, and the transactor of the central node selects the subsequent process node and transactor/department instead according to the approval findings of the previous step. Thus, although the operation of the approver is simple, the workload of the secretary becomes very large. And because many approval processes are complicated, the next circulation node selection may be multiple, may be an implicit node (such as a key of a certain department, etc.), or may not be known by the current person. Therefore, manual operation is time-consuming and labor-consuming, and the problems of multiple selections, omission, misoperation, selection ignorance and the like easily occur. In addition, when the organization is changed and the personnel are adjusted, or when the subsequent handling links given in the approval opinions are not met before, the original workflow must be adjusted correspondingly by the developer or a new workflow is configured to be released and put on line, and then the original workflow can be put into use.
In the existing workflow technology, two parts, namely a flow engine and a flow designer, are generally included, and the two parts are workflow core components. The flow designer is used for planning and designing the flow of the worker; the process engine provides the analysis of the process and drives the business process to flow according to the design. When the two parts deal with the examination and approval flow service, the two parts are manually configured, the flow nodes cannot be automatically identified, and the working process cannot be automatically adapted along with the change of the service. Thereby causing the defects of low working efficiency, high maintenance cost, poor self-adaptive capacity and the like.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a method, a device and a storage medium for intelligently adapting a workflow according to user behaviors, and solves the defects that when the traditional approval flow service is handled, the configuration is manual, a transfer node cannot be automatically identified, and the workflow cannot be automatically adapted along with the service change, so that the working efficiency is low, the maintenance cost is high, the adaptive capacity is poor, and the like.
The purpose of the invention is realized by the following technical scheme:
an intelligent workflow adaptation method according to user behaviors, the adaptation method comprising:
s1, batch text entry: a template library is adopted, an input mode is standardized, and common words and official standard words are subjected to templating; analyzing and processing the content in the batch text, extracting key information and accumulating user behavior data;
s2, workflow intelligent adaptation: processing the information input by the batch text to obtain key information; comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow; and self-adapting to a new work flow and a new transfer node according to the adaptive parameters;
s3, workflow driving: after the processing of step S2, the system drives the approval flow service to continue to flow downward through the newly adapted workflow.
Further, in step S2, the processing of the information recorded in the batch text to obtain the key information further includes:
s201, word segmentation processing and semantic analysis: performing word segmentation processing and semantic analysis on the entered batch information by adopting a natural language processing technology according to a specified corpus, a characteristic word list and user-defined dictionary information;
s202, extracting name, mechanism and event information: extracting and analyzing corresponding personnel, mechanism and event information from the office examination and approval circulation node information and the event information which are hidden or are written in the examination and approval form;
s203, verifying the name of the person and the organization information: comparing and verifying the information in the system with the extracted personnel, mechanism and event information, eliminating illegal information and retaining legal information;
s204, recommending workflow nodes: acquiring workflow node information through the in-system information;
s205, storing events and related dependent conditions: and establishing a data model of a basic event processing flow for the acquired information of people, mechanisms and events, and collecting and storing the data model for acting as a data basis for user behavior analysis.
Further, in step S2, comprehensively analyzing and integrating the acquired information to obtain the flow node information and the workflow adaptation parameters, the method further includes:
integrating the acquired information into a workflow node item;
if no personnel and mechanism information change, judging whether a work flow in the system is matched with the system; if the workflow is matched with the workflow, outputting the workflow parameters according to the matching information; otherwise, analyzing the user behavior through a user behavior database, searching and integrating most similar workflow parameters for the system to establish a new workflow;
and if the information of the personnel and the mechanisms changes, integrating new workflow parameters according to the changed information of the personnel and the mechanisms for the system to establish a new workflow.
Further, in step S2, the workflow system adapts to a new workflow and a new flow node according to the adaptive parameter, further comprising:
verifying whether the workflow parameters recommended by integration are matched with the system workflow or not, and if so, directly bringing in the flow nodes; if not, calling the workflow designer according to the newly integrated workflow parameters, and automatically adapting and designing to generate a new workflow.
Further, in step S2, the method further includes:
and according to the adaptive matched workflow, automatically starting a workflow engine to analyze and load the workflow for the service system to use.
Further, the word segmentation processing and semantic analysis specifically include:
chinese grammar analysis: performing word segmentation processing on the text information, and labeling the dependence relationship according to Chinese grammar, wherein the relationship is labeled as a central word for labeling a sentence, the part of speech of each word, and the dependence relationship between each word and the central word;
and (3) a syntax analysis process: most of the batched texts are mainly prayed sentences;
and (3) extraction of name information: extracting words of two characters, three characters and four characters from the text information, judging the part of speech of the words and whether the words accord with the characteristics of Chinese names, comparing the words with data in a surname database, and judging whether the words are the names of the people;
unit information extraction: if the word is a unit noun, screening the word by using words in a characteristic word list database, and judging whether the extracted word is a unit noun;
processing non-conventional words: unconventional applications are marked by means of a separate entry into the template.
An intelligent workflow adaptation device according to user behavior, comprising:
the system comprises a batch entry device, a database and a database, wherein the batch entry device is used for standardizing an entry mode and templating common words and official target words; analyzing and processing the content in the batch text, extracting key information and accumulating user behavior data;
the intelligent workflow adaptation device is used for processing the information input by the batch text to acquire key information; comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow; and self-adapting to a new work flow and a new transfer node according to the adaptive parameters;
and the workflow driving device is used for driving the approval flow business to continuously flow downwards through the newly adapted workflow.
Further, the workflow intelligent adaptation device further comprises:
the information extraction module is used for processing the information input by the batch text to acquire key information;
the information integration module is used for comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow;
the workflow adaptation module is used for adapting to a new workflow and a new transfer node according to the adaptive parameters;
and the workflow starting module is used for automatically starting a workflow engine to analyze and load the workflow for the service system.
A storage medium comprises a cache, a nonvolatile storage medium and an intelligent adaptation device of the workflow according to user behaviors.
The invention has the beneficial effects that:
(1) in the artificial intelligence technology enabling workflow technology, by utilizing technologies such as natural language processing and user behavior analysis in the artificial intelligence technology, semantic analysis is carried out on the approval texts in the approval business, behavior analysis is carried out on the approval habits of the user, and result information is used as data parameters self-adapted to a workflow system, so that the purposes of intelligent adaptation of a workflow according to business requirements and intelligent driving of a circulation node are achieved;
(2) the capability of automatically configuring a new workflow according to the user behavior information is realized, the functions are relatively independent and modularized, the workflow is conveniently transplanted to other workflow services, the process of manually screening workflow nodes is replaced, the working efficiency is improved, and meanwhile, the error rate and the leakage rate are reduced;
(3) the natural language processing technology is adopted, and the high-efficiency identification of customized names, organization information and events in the text content of the Chinese is realized;
(4) the intelligent experience of the service system is enhanced, the user experience is more friendly, and the operation is more convenient.
Drawings
FIG. 1 is a flow chart of an adaptation method of the present invention;
FIG. 2 is a schematic diagram of the structure of the intelligent adaptive device of the present invention;
FIG. 3 is a schematic diagram of a processing structure of the information extraction module according to the present invention;
FIG. 4 is a schematic diagram of an information integration process according to the present invention;
FIG. 5 is a schematic diagram of an information extraction process according to the present invention;
in the figure, 10-batch text entry device, 20-workflow intelligent adaptation device, 30-workflow driving device, 201-information extraction module, 202-information integration module, 203-workflow adaptation module, and 204-workflow starting module.
Detailed Description
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Example 1:
the embodiment discloses an intelligent workflow adaptation method according to user behavior, referring to fig. 1, where the adaptation method includes:
s1, batch text entry: a template library is adopted, an input mode is standardized, and common words and official standard words are subjected to templating; analyzing and processing the content in the batch text, extracting key information and accumulating user behavior data;
s2, workflow intelligent adaptation: processing the information input by the batch text to obtain key information; comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow; and self-adapting to a new work flow and a new transfer node according to the adaptive parameters;
s3, workflow driving: after the processing of step S2, the system drives the approval flow service to continue to flow downward through the newly adapted workflow.
Further, in step S2, the processing of the information recorded in the batch text to obtain the key information further includes:
s201, word segmentation processing and semantic analysis: performing word segmentation processing and semantic analysis on the entered batch information by adopting a natural language processing technology according to a specified corpus, a characteristic word list and user-defined dictionary information;
s202, extracting name, mechanism and event information: extracting and analyzing corresponding personnel, mechanism and event information from the office examination and approval circulation node information and the event information which are hidden or are written in the examination and approval form;
s203, verifying the name of the person and the organization information: comparing and verifying the information in the system with the extracted personnel, mechanism and event information, eliminating illegal information and retaining legal information;
s204, recommending workflow nodes: acquiring workflow node information through the in-system information;
s205, storing events and related dependent conditions: and establishing a data model of a basic event processing flow for the acquired information of people, mechanisms and events, and collecting and storing the data model for acting as a data basis for user behavior analysis.
Further, in step S2, comprehensively analyzing and integrating the acquired information to obtain the flow node information and the workflow adaptation parameters, the method further includes:
integrating the acquired information into a workflow node item;
if no personnel and mechanism information change, judging whether a work flow in the system is matched with the system; if the workflow is matched with the workflow, outputting the workflow parameters according to the matching information; otherwise, analyzing the user behavior through a user behavior database, searching and integrating most similar workflow parameters for the system to establish a new workflow;
and if the information of the personnel and the mechanisms changes, integrating new workflow parameters according to the changed information of the personnel and the mechanisms for the system to establish a new workflow.
Further, in step S2, the workflow system adapts to a new workflow and a new flow node according to the adaptive parameter, further comprising:
verifying whether the workflow parameters recommended by integration are matched with the system workflow or not, and if so, directly bringing in the flow nodes; if not, calling the workflow designer according to the newly integrated workflow parameters, and automatically adapting and designing to generate a new workflow.
Further, in step S2, the method further includes:
and according to the adaptive matched workflow, automatically starting a workflow engine to analyze and load the workflow for the service system to use.
Further, the word segmentation processing and semantic analysis specifically include:
chinese grammar analysis: performing word segmentation processing on the text information, and labeling the dependence relationship according to Chinese grammar, wherein the relationship is labeled as a central word for labeling a sentence, the part of speech of each word, and the dependence relationship between each word and the central word;
and (3) a syntax analysis process: most of the batched texts are mainly prayed sentences;
and (3) extraction of name information: extracting words of two characters, three characters and four characters from the text information, judging the part of speech of the words and whether the words accord with the characteristics of Chinese names, comparing the words with data in a surname database, and judging whether the words are the names of the people;
unit information extraction: if the word is a unit noun, screening the word by using words in a characteristic word list database, and judging whether the extracted word is a unit noun;
processing non-conventional words: unconventional applications are marked by means of a separate entry into the template.
The method and the device solve the problems that when the traditional approval flow service is handled, the traditional approval flow service is manually configured, the flow nodes cannot be automatically identified, and the working process cannot be automatically adapted along with the service change, so that the defects of low working efficiency, high maintenance cost, poor self-adaptation capability and the like are caused.
Example 2:
the embodiment discloses an intelligent adaptation device of workflow according to user behavior, as shown in fig. 2, including:
the device 10 for inputting the batch text adopts a template library and standardizes an inputting mode, and carries out templating on commonly used words and official standard words so as to improve the inputting efficiency and reduce the error rate. The subsequent natural language processing technology is conveniently adopted to analyze and process the content in the batch text, extract key information and accumulate user behavior data;
workflow intelligent adaptation device 20 divides into four modules altogether: the system comprises an information extraction module 201, an information integration module 202, a workflow adaptation module 203 and a workflow starting module 204. Through workflow intelligent adaptation device 20, carry out processing to the information of entering of wholesale text entry device 10, obtain key information, if: name, organization, event, processing action, etc.; comprehensively analyzing and integrating the information to obtain circulation node information and workflow adaptation parameters; the workflow system adapts to a new workflow and a new circulation node according to the adaptive parameters;
and the workflow driving device 30 is used for driving the approval flow business to continue to flow downwards through the newly adapted workflow.
Further, the workflow intelligent adaptation apparatus 20 further includes:
the information extraction module 201: the module is divided into the following five steps, as shown in fig. 3:
word segmentation processing and semantic analysis: performing word segmentation processing and semantic analysis on the batch information input by the batch input device by adopting a natural language processing technology according to information such as a specified language database, a characteristic word list, a user-defined dictionary and the like;
extracting name, mechanism and event information: the office approval circulation node information and the event information are often hidden or written in an approval form in many cases, such as: please read the long-distance in the Chinese section and deal with the propaganda section. After word segmentation processing and semantic analysis processing, corresponding personnel, mechanisms and event information can be analyzed, namely: "Wenhua" radical-excess means "Liwenhua"; the name of the organization is as follows: "propaganda section"; event: "collaborate".
Verifying the name of the person and the organization information: since the extracted name, organization and event information are analyzed from the text information, and there may be a problem that the extracted name, organization and event information do not correspond to the information in the system, the validity of the name and organization information needs to be verified, and after the verification is performed through a system table (see table 1: a service information table case), illegal information is removed, and legal information is reserved.
Table 1: business information form case
| ID | Name (I) | Mechanism | Job title | Flow ID |
| Id_A | Li Wenhua | Department of law | Length of the neck | LZ_A |
| Id_B | Liu Jie | Propaganda department | Length of the neck | LZ_B |
Recommending workflow nodes: after extracting the name, the organization and the event information and processing, the workflow node information is obtained corresponding to the flow information table (see table 1: the business information table case), namely: "Wenhua" radical-Long-excess means "Liwenhua", and the stream ID is "LZ _ A"; since the "advertisement section" hidden person means the advertisement section length "liujie", the stream ID is "LZ _ B".
Storage events and associated dependencies: the data model of a basic event processing flow is formed by word segmentation processing, semantic analysis, extraction of names, mechanisms, information of persons, mechanisms and events obtained by event information and the like, and is collected and stored to serve as a data basis for user behavior analysis. From which a new workflow process flow can be analyzed.
The information integration module 202: as shown in fig. 4, the analysis data obtained at the information extraction module 201 is subjected to integration processing, such as: personnel: "Liwenhua"; the name of the organization is as follows: "propaganda section"; event: "collaborate". Namely: telling the system "please promote the Liwenhua collaborations of the department", the system can integrate into a workflow node item according to the information. According to the extracted event information:
A. and if no personnel and mechanism information change, judging whether the system has a working process matched with the system. If yes, outputting workflow parameters according to the matching information; otherwise, analyzing the user behavior through a user behavior database, searching and integrating most similar workflow parameters for the system to establish a new workflow;
B. and if the information of the personnel and the mechanisms changes, integrating new workflow parameters according to the changed information of the personnel and the mechanisms for the system to establish a new workflow.
A workflow adaptation module: integrating recommended workflow parameters according to an information integration module, and directly bringing in a flow node if the recommended workflow parameters are matched with the system workflow; if not, calling the workflow designer according to the newly integrated workflow parameters, and automatically adapting and designing to generate a new workflow.
A workflow initiation module: according to the workflow adapted by the workflow adapting module, the system can automatically start a workflow engine to analyze and load the workflow for the service system to use.
Further, in the process of word segmentation processing and semantic analysis, as shown in fig. 5, the method further includes:
chinese grammar analysis: the method comprises the steps of performing word segmentation processing on text information by adopting a natural language processing technology, and labeling the dependency relationship according to Chinese grammar (namely labeling the central word of a sentence, the part of speech of each word and the dependency relationship between each word and the central word);
and (3) a syntax analysis process: the majority of the texts in batches are prayed to sentences, such as: please ask xxx to lead, draw on xxx homophones, xxx office to host, etc. The characteristics of such sentences: the core words are "please" and "please", and the names of people and unit words are basically "middle" or "main and subordinate" in accordance with the relationship. And extracting the words with the two types of characteristics to establish a dictionary list. The dictionary list contains all the names and unit information;
and (3) extraction of name information: the nouns such as "leader", "homophony" or post after the name of the person are in a "guest-combining" relationship with the name of the person, so that the dependency relationship between the current word and the next adjacent word (the "right adjacent word") is judged to be "guest-combining", and the word is definitely the name of the person; if not, it is basically a unit noun;
unit information extraction: in order to determine whether the unit noun is really the unit noun, the unit noun is screened by using words in the characteristic word list, and if the words comprise words such as 'office', 'room', 'hospital', 'local', and the like, the word can be determined to be the unit noun;
processing non-conventional words: through the above processing, more than 95% of the names and unit information can be extracted. The other 5 percent, which is basically unconventional words, can be solved by the standard entry of 'batch entry templates'.
Example 3:
this embodiment discloses a storage medium based on embodiment 1 and embodiment 2, including a cache, a non-volatile storage medium, and the intelligent adaptation device of workflow according to user behavior described in embodiment 2.
In the invention, in the artificial intelligence technology enabling workflow technology, by utilizing technologies such as natural language processing, user behavior analysis and the like in the artificial intelligence technology, semantic analysis is carried out on the approval texts in the approval business, behavior analysis is carried out on the approval habits of the user, and result information is used as data parameters self-adapted to the workflow system, so that the purposes of intelligent adaptation of the workflow according to business requirements and intelligent driving of the flow nodes are achieved.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (9)
1. An intelligent workflow adaptation method according to user behavior, the adaptation method comprising:
s1, batch text entry: a template library is adopted, an input mode is standardized, and common words and official standard words are subjected to templating; analyzing and processing the content in the batch text, extracting key information and accumulating user behavior data;
s2, workflow intelligent adaptation: processing the information input by the batch text to obtain key information; comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow; and self-adapting to a new work flow and a new transfer node according to the adaptive parameters;
s3, workflow driving: after the processing of step S2, the system drives the approval flow service to continue to flow downward through the newly adapted workflow.
2. The method according to claim 1, wherein in step S2, the processing is performed on the information entered in the batch text to obtain the key information, and the method further comprises:
s201, word segmentation processing and semantic analysis: performing word segmentation processing and semantic analysis on the entered batch information by adopting a natural language processing technology according to a specified corpus, a characteristic word list and user-defined dictionary information;
s202, extracting name, mechanism and event information: extracting and analyzing corresponding personnel, mechanism and event information from the office examination and approval circulation node information and the event information which are hidden or are written in the examination and approval form;
s203, verifying the name of the person and the organization information: comparing and verifying the information in the system with the extracted personnel, mechanism and event information, eliminating illegal information and retaining legal information;
s204, recommending workflow nodes: acquiring workflow node information through the in-system information;
s205, storing events and related dependent conditions: and establishing a data model of a basic event processing flow for the acquired information of people, mechanisms and events, and collecting and storing the data model for acting as a data basis for user behavior analysis.
3. The method according to claim 1, wherein in step S2, the obtained information is comprehensively analyzed and integrated to obtain the flow node information and the workflow adaptation parameters, further comprising:
integrating the acquired information into a workflow node item;
if no personnel and mechanism information change, judging whether a work flow in the system is matched with the system; if the workflow is matched with the workflow, outputting the workflow parameters according to the matching information; otherwise, analyzing the user behavior through a user behavior database, searching and integrating most similar workflow parameters for the system to establish a new workflow;
and if the information of the personnel and the mechanisms changes, integrating new workflow parameters according to the changed information of the personnel and the mechanisms for the system to establish a new workflow.
4. The method according to claim 1, wherein in step S2, the workflow system adapts itself to new workflow and flow node according to the adaptive parameters, further comprising:
verifying whether the workflow parameters recommended by integration are matched with the system workflow or not, and if so, directly bringing in the flow nodes; if not, calling the workflow designer according to the newly integrated workflow parameters, and automatically adapting and designing to generate a new workflow.
5. The method for intelligent adaptation of workflow according to user behavior as claimed in claim 1 or 4, wherein in step S2, the method further comprises:
and according to the adaptive matched workflow, automatically starting a workflow engine to analyze and load the workflow for the service system to use.
6. The method for intelligent workflow adaptation according to user behavior according to claim 2, wherein the word segmentation processing and semantic analysis further comprise:
chinese grammar analysis: performing word segmentation processing on the text information, and labeling the dependence relationship according to Chinese grammar, wherein the relationship is labeled as a central word for labeling a sentence, the part of speech of each word, and the dependence relationship between each word and the central word;
and (3) a syntax analysis process: most of the batched texts are mainly prayed sentences;
and (3) extraction of name information: extracting words of two characters, three characters and four characters from the text information, judging the part of speech of the words and whether the words accord with the characteristics of Chinese names, comparing the words with data in a surname database, and judging whether the words are the names of the people;
unit information extraction: if the word is a unit noun, screening the word by using words in a characteristic word list database, and judging whether the extracted word is a unit noun;
processing non-conventional words: unconventional applications are marked by means of a separate entry into the template.
7. An intelligent workflow adaptation device based on user behavior, comprising:
the system comprises a batch entry device, a database and a database, wherein the batch entry device is used for standardizing an entry mode and templating common words and official target words; analyzing and processing the content in the batch text, extracting key information and accumulating user behavior data;
the intelligent workflow adaptation device is used for processing the information input by the batch text to acquire key information; comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow; and self-adapting to a new work flow and a new transfer node according to the adaptive parameters;
and the workflow driving device is used for driving the approval flow business to continuously flow downwards through the newly adapted workflow.
8. The apparatus of claim 7, wherein the apparatus for intelligently adapting workflow according to user behavior further comprises:
the information extraction module is used for processing the information input by the batch text to acquire key information;
the information integration module is used for comprehensively analyzing and integrating the acquired information to acquire the information of the flow nodes and the adaptive parameters of the workflow;
the workflow adaptation module is used for adapting to a new workflow and a new transfer node according to the adaptive parameters;
and the workflow starting module is used for automatically starting a workflow engine to analyze and load the workflow for the service system.
9. A storage medium comprising a cache, a non-volatile storage medium, and a workflow-behavior-dependent intelligent adaptation apparatus according to claim 7-claim 8.
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| CN110390496A (en) * | 2019-09-18 | 2019-10-29 | 浙江华云信息科技有限公司 | A kind of workflow design method that adaptation business is complicated and changeable with tissue |
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