CN115271434A - Intelligent party building workflow engine design method and system based on cloud computing - Google Patents
Intelligent party building workflow engine design method and system based on cloud computing Download PDFInfo
- Publication number
- CN115271434A CN115271434A CN202210886949.0A CN202210886949A CN115271434A CN 115271434 A CN115271434 A CN 115271434A CN 202210886949 A CN202210886949 A CN 202210886949A CN 115271434 A CN115271434 A CN 115271434A
- Authority
- CN
- China
- Prior art keywords
- content
- data
- workflow engine
- information
- cloud computing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a design method and a system of a workflow engine of intelligent party construction based on cloud computing, which comprises the steps of constructing the workflow engine based on a cloud computing terminal; establishing a work catalog of a workflow engine; receiving data of the intelligent party building work content from each data end by using a workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content; comparing and analyzing the difference content based on a standard database, and performing error correction processing on the compared abnormal information; and performing resource integration on the accurate content and the error-corrected difference content, and prompting a terminal according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time. According to the method, the workflow engine based on cloud computing is designed to process the intelligent party building content, batch data classification and processing of big data can be achieved, and data processing efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of information, and particularly relates to a method, a system, equipment and a storage medium for designing a workflow engine of intelligent party construction based on cloud computing.
Background
Cloud computing is one of distributed computing, which means that huge data computing processing programs are decomposed into countless small programs through a network cloud, then, a system consisting of a plurality of servers is used for processing and analyzing the small programs to obtain results and returning the results to a user, and in the early stage of cloud computing, the simple distributed computing is simply used for solving task distribution and combining computing results, so that the cloud computing is also called grid computing, and by means of the technology, tens of thousands of data can be processed within a short time (several seconds), so that strong network service is achieved; the workflow engine is a part of an application system, and provides core solutions for determining information transfer routes, content levels and the like according to different roles, division and conditions, which have a determining function on each application system.
The classification effect of the work links of the intelligent party building workflow engine in the practical application process is poor, the task processing efficiency is affected, the current workflow engine is high in maintenance difficulty, lacks of self-adaption links, is high in dependence on manpower, the operation and maintenance cost is increased, and the operation use completion degree is affected.
Disclosure of Invention
In view of this, the invention aims to solve the problems that the classification effect on party building work links is poor and the processing efficiency of tasks is influenced in the actual application process of the intelligent party building workflow engine at present.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides a method for designing a workflow engine of an intelligent party building based on cloud computing, which comprises the following steps:
a workflow engine is constructed based on a cloud computing terminal and used for carrying out resource integration, information classification, data maintenance and terminal interaction aiming at the work content constructed by the intelligent party;
establishing a working directory of a workflow engine, wherein the working directory comprises a content line and a time line, the content line is used for storing various types of processed working content information, and the time line is used for recording the generation time of various types of content information;
receiving data of intelligent party building work content from each data end by using a workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content;
comparing and analyzing the difference content based on a standard database, and performing error correction processing on the compared abnormal information;
and performing resource integration on the accurate content and the error-corrected difference content, and prompting a terminal according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time.
Further, the difference content is compared and analyzed based on a standard database, and the compared abnormal information is subjected to error correction processing, specifically:
establishing a standard database comprising standard data keywords, keywords and sensitive words;
and performing twice recognition of keywords, keywords and sensitive words on the difference content by using a DFA algorithm based on a standard database, replacing the sensitive words according to a preset rule after the first recognition, and performing manual error correction if the keywords, the keywords are missing or the sensitive words are not replaced after the second recognition.
Further, resource integration is performed on the accurate content and the error-corrected difference content, and terminal prompting is performed according to the importance of the integrated content data, specifically including:
each data terminal records the job information and the knowledge point information of a login user and establishes the association relationship between the user and the job and the association relationship between the user and the knowledge point;
determining post information and knowledge point information of the logged-in user according to the association relation;
acquiring related integrated content data from a workflow engine according to the knowledge point information and/or the post information subscribed by the login user;
and if the post information and the knowledge point information of the user are related after logging in, taking the intersection part of the integrated content data corresponding to the post information and the knowledge point information as important content to prompt at the data end, otherwise, taking part of the content of the integrated content data corresponding to the knowledge point information or the post information to prompt at the data end.
Further, the workflow engine classifies the data of the intelligent party building work content received from each data terminal into the following specific categories: party affairs work, party clerk study, publicity work, activity planning, livelihood problems, supervision work and work management.
In a second aspect, the present invention provides a cloud computing-based intelligent party building workflow engine design system, including:
the system comprises a construction unit, a service unit and a service unit, wherein the construction unit is used for constructing a workflow engine based on a cloud computing terminal, and the workflow engine is used for performing resource integration, information classification, data maintenance and terminal interaction aiming at the work content constructed by the intelligent party; the system is also used for establishing a working directory of the workflow engine, wherein the working directory comprises a content line and a time line, the content line is used for storing various types of processed working content information, and the time line is used for recording the generation time of various types of content information;
the identification unit is used for receiving the data of the intelligent party building work content from each data end by using the workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content;
the maintenance unit is used for comparing and analyzing the difference content based on the standard database and carrying out error correction processing on the compared abnormal information;
and the pushing unit is used for integrating the accurate content and the error-corrected difference content by resources and prompting a terminal according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time.
Further, in the maintenance unit, the difference content is compared and analyzed based on the standard database, and the compared abnormal information is subjected to error correction processing, specifically:
establishing a standard database comprising standard data keywords, keywords and sensitive words;
and performing twice recognition of keywords, keywords and sensitive words on the difference content by using a DFA algorithm based on a standard database, replacing the sensitive words according to a preset rule after the first recognition, and performing manual error correction if the keywords, the keywords are missing or the sensitive words are not replaced after the second recognition.
Further, in the pushing unit, resource integration is performed on the accurate content and the error-corrected difference content, and terminal prompting is performed according to the importance of the integrated content data, which specifically includes:
each data terminal records the job information and the knowledge point information of a login user, and establishes the association relationship between the user and the job and the association relationship between the user and the knowledge point;
determining post information and knowledge point information of the logged-in user according to the association relation;
acquiring related integrated content data from a workflow engine according to the knowledge point information and/or the job information subscribed by the login user;
and if the post information and the knowledge point information of the user are related after logging in, taking the intersection part of the integrated content data corresponding to the post information and the knowledge point information as important content to prompt at the data end, otherwise, taking part of the content of the integrated content data corresponding to the knowledge point information or the post information to prompt at the data end.
Further, the workflow engine specifically classifies the data of the intelligent party building work content received from each data terminal into: party affairs work, party clerk study, publicity work, activity planning, livelihood problems, supervision work and work management.
In a third aspect, the present invention provides a cloud computing-based intelligent party building workflow engine design apparatus, including a processor and a memory:
the memory is used for storing the computer program and sending the instructions of the computer program to the processor;
the processor executes the method for designing the intelligent party building workflow engine based on the cloud computing according to the instructions of the computer program.
In a fourth aspect, the present invention provides a computer storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for designing a smart party building workflow engine based on cloud computing according to the first aspect is implemented.
In summary, the invention provides a design method, a system, equipment and a storage medium of a workflow engine of intelligent party construction based on cloud computing, wherein the method comprises the steps of constructing the workflow engine based on a cloud computing terminal; establishing a working directory of a workflow engine, wherein the working directory comprises a content line and a time line; receiving data of intelligent party building work content from each data end by using a workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content; comparing and analyzing the difference content based on a standard database, and performing error correction processing on the compared abnormal information; and performing resource integration on the accurate content and the error-corrected difference content, and prompting a terminal according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time. According to the method, the workflow engine based on cloud computing is designed to process the intelligent party building content, batch data classification and processing of big data can be achieved, and data processing efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a method for designing a workflow engine of a smart party based on cloud computing according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Cloud computing is one of distributed computing, which means that huge data computing processing programs are decomposed into countless small programs through a network cloud, then, a system consisting of a plurality of servers is used for processing and analyzing the small programs to obtain results and returning the results to a user, and in the early stage of cloud computing, the simple distributed computing is simply used for solving task distribution and combining computing results, so that the cloud computing is also called grid computing, and by means of the technology, tens of thousands of data can be processed within a short time (several seconds), so that strong network service is achieved; the workflow engine is a part of application systems, provides core solutions for determining information transfer routing, content grades and the like according to different roles, division and conditions and having a determining function on each application system, comprises important functions of node management, flow direction management, process sample management and the like of a process, and is combined with a cloud computing system and the workflow engine along with continuous progress and development of information technology so as to improve the operation efficiency of the party building system.
The classification effect of the work links of the intelligent party building workflow engine in the practical application process is poor, the task processing efficiency is affected, the current workflow engine is high in maintenance difficulty, lacks of self-adaption links, is high in dependence on manpower, the operation and maintenance cost is increased, and the operation use completion degree is affected.
Based on the method, the system, the equipment and the storage medium, the intelligent party building workflow engine design method, the system, the equipment and the storage medium are based on cloud computing.
The following describes embodiments of the cloud computing-based intelligent party building workflow engine design method of the present invention in detail.
Referring to fig. 1, the present embodiment provides a method for designing a workflow engine for intelligent party building based on cloud computing, including the following steps:
s100: a workflow engine is constructed based on a cloud computing terminal and used for carrying out resource integration, information classification, data maintenance and terminal interaction aiming at work content constructed by an intelligent party.
Cloud computing is one of distributed computing, which means that huge data computing processing programs are decomposed into countless small programs through a network cloud, then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results, and the results are returned to users.
In this embodiment, based on a cloud computing terminal to design and develop a workflow engine, a basic operation process is set, that is, the intelligent party building work data is classified by calculation, and the classification includes data generation time, data content and data size, and different types of data are stored respectively. The basic operation flow of the workflow engine comprises resource integration, data information classification, data information maintenance and terminal interaction, the resource integration module is used for carrying out centralized integration on each working data established by the intelligent party, the data information classification is used for classifying different working contents, meanwhile, the data information maintenance module is used for carrying out information safety maintenance including information content accuracy and the corresponding degree of generation time, and the terminal interaction module is used for reading and feeding back information according to a computer terminal or a mobile client of a user.
S200: and establishing a working directory of the workflow engine, wherein the working directory comprises a content line and a time line, the content line is used for storing various processed working content information, and the time line is used for recording the generation time of various content information.
S300: and receiving data of the intelligent party building work content from each data terminal by using a workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content.
For intelligent party construction work, the work content can be classified into party affairs work, party member study, propaganda work, activity planning, civil problem, supervision work and work management.
And respectively carrying out identification analysis on different classes of data. Specifically, the workflow engine is connected with each data terminal through different data interfaces, acquires data from each data terminal, and classifies the acquired contents according to different categories. And establishing a corresponding standard database for each type of data, wherein the standard database comprises keywords, keywords and sensitive words corresponding to the standard data.
And comparing the data received each time with the corresponding standard database, and if the data content, the time and the size meet the requirements, determining the data content to be accurate content, and further pushing the content. For the difference content, further processing is required using a standard database.
S400: and comparing and analyzing the difference content based on a standard database, and correcting the compared abnormal information.
And identifying keywords, keywords and sensitive words (namely identifying abnormal contents) on the received data by adopting a DFA algorithm, and if the sensitive words are found, replacing the sensitive words according to a set rule. And after the replacement, secondary identification is needed, if the problems of keyword and keyword loss and incomplete replacement of the sensitive words still exist after the secondary identification, manual intervention analysis is needed, and error correction processing is carried out on abnormal data.
S500: and performing resource integration on the accurate content and the error-corrected difference content, and performing terminal prompting according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time.
Specifically, each data terminal needs to record the job information and the knowledge point information of a login user, and establish the association relationship between the user and the job and the association relationship between the user and the knowledge point;
determining post information and knowledge point information of the logged-in user according to the association relation;
acquiring related integrated content data from a workflow engine according to the knowledge point information and/or the post information subscribed by the login user;
and if the post information and the knowledge point information of the user are related after logging in, taking the intersection part of the integrated content data corresponding to the post information and the knowledge point information as important content to prompt at the data end, otherwise, taking part of the content of the integrated content data corresponding to the knowledge point information or the post information to prompt at the data end. For example, a set a is formed by corresponding data to the job information, a set B is formed by corresponding data to the knowledge point information, C = { X | X ∈ a & X ∈ B, a ≠ B } is calculated, and the content in C is used as important content to perform push prompt, wherein a and B are processed data sets acquired from a workflow engine.
The embodiment provides a method for designing a workflow engine of smart party construction based on cloud computing, which comprises the steps of constructing the workflow engine based on a cloud computing terminal; establishing a work directory of a workflow engine, wherein the work directory comprises a content line and a time line; receiving data of intelligent party building work content from each data end by using a workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content; comparing and analyzing the difference content based on a standard database, and performing error correction processing on the compared abnormal information; and performing resource integration on the accurate content and the error-corrected difference content, and prompting a terminal according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time. According to the method, the workflow engine based on cloud computing is designed to process the intelligent party building content, so that batch data classification and processing of big data can be realized, and the data processing efficiency is improved.
The above is a detailed description of an embodiment of the cloud computing-based intelligent party workflow engine design method of the present invention, and the following is a detailed description of an embodiment of the cloud computing-based intelligent party workflow engine design system of the present invention.
The embodiment provides a cloud computing-based intelligent party building workflow engine design system, which comprises: the device comprises a building unit, an identification unit, a maintenance unit and a pushing unit.
In this embodiment, the building unit is configured to build a workflow engine based on the cloud computing terminal, where the workflow engine is configured to perform resource integration, information classification, data maintenance, and terminal interaction on work content built by the intelligent party; the system is also used for establishing a work catalog of the workflow engine, wherein the work catalog comprises a content line and a time line, the content line is used for storing various processed work content information, and the time line is used for recording the generation time of various content information.
And the identification unit is used for receiving the data of the intelligent party building work content from each data end by using the workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content.
In this embodiment, the maintenance unit is configured to perform comparison and analysis on the difference content based on the standard database, and perform error correction processing on the compared abnormal information.
Specifically, in the maintenance unit, the difference content is compared and analyzed based on the standard database, and the compared abnormal information is subjected to error correction processing, specifically:
establishing a standard database comprising standard data keywords, keywords and sensitive words;
and performing secondary recognition of keywords, keywords and sensitive words on the difference content by using a DFA algorithm based on a standard database, replacing the sensitive words according to a preset rule after the primary recognition, and performing manual error correction if the keywords, the keywords are missing or the sensitive words are not replaced after the secondary recognition.
In this embodiment, the pushing unit is configured to perform resource integration on the accurate content and the error-corrected difference content, and perform terminal prompting according to the importance of the integrated content data, where the prompted content includes the integrated work content information and the corresponding generation time.
Specifically, in the push unit, resource integration is performed on the accurate content and the error-corrected difference content, and terminal prompting is performed according to the importance of the integrated content data, which specifically includes:
each data terminal records the job information and the knowledge point information of a login user, and establishes the association relationship between the user and the job and the association relationship between the user and the knowledge point;
determining post information and knowledge point information of the logged-in user according to the association relation;
acquiring related integrated content data from a workflow engine according to the knowledge point information and/or the job information subscribed by the login user;
and if the user logs in and is associated with the post and the knowledge point information of the user at the same time, taking the intersection part of the integrated content data corresponding to the post and the knowledge point information as important content to prompt at the data end, otherwise, taking the part of the content of the integrated content data corresponding to the knowledge point information or the post information to prompt at the data end.
In addition, the workflow engine specifically classifies the data of the intelligent party building work content received from each data terminal into the following types: party work, party member study, promotional work, campaign planning, civil problem, supervisory work and work management.
The above is a detailed description of an embodiment of the cloud computing-based intelligent party workflow engine design system of the present invention, and the following is a detailed description of an embodiment of the cloud computing-based intelligent party workflow engine design device of the present invention.
The embodiment provides a smart party building workflow engine design device based on cloud computing, and the device comprises a processor and a memory:
the memory is used for storing the computer program and sending the instructions of the computer program to the processor;
the processor executes the method for designing the intelligent party building workflow engine based on cloud computing according to the instructions of the computer program.
The above is a detailed description of an embodiment of the cloud computing-based intelligent party workflow engine design device of the present invention, and the following is a detailed description of an embodiment of the computer storage medium of the present invention.
The present embodiment provides a computer storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for designing a cloud computing-based intelligent party building workflow engine according to the foregoing embodiment is implemented.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for designing a workflow engine of intelligent party building based on cloud computing is characterized by comprising the following steps:
the method comprises the steps that a workflow engine is built based on a cloud computing terminal and used for carrying out resource integration, information classification, data maintenance and terminal interaction aiming at work contents built by an intelligent party;
establishing a working directory of the workflow engine, wherein the working directory comprises a content line and a time line, the content line is used for storing various types of processed working content information, and the time line is used for recording the generation time of the various types of content information;
receiving data of intelligent party building work content from each data terminal by using the workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content;
comparing and analyzing the difference content based on the standard database, and performing error correction processing on the compared abnormal information;
and performing resource integration on the accurate content and the error-corrected difference content, and performing terminal prompt according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time.
2. The cloud-computing-based intelligent party building workflow engine design method as claimed in claim 1, wherein the difference content is compared and analyzed based on the standard database, and the compared abnormal information is subjected to error correction processing, specifically:
establishing the standard database comprising standard data keywords, keywords and sensitive words;
and performing twice recognition of the keywords, the keywords and the sensitive words on the difference content by using a DFA algorithm based on the standard database, replacing the sensitive words according to a preset rule after the first recognition, and performing manual error correction if the keywords and the keywords are missing or the sensitive words are not replaced after the second recognition.
3. The intelligent party building workflow engine design method based on cloud computing as claimed in claim 1, wherein the resource integration is performed on the accurate content and the error-corrected difference content, and the terminal prompt is performed according to the importance of the integrated content data, specifically comprising:
each data terminal records the job information and the knowledge point information of a login user and establishes the association relationship between the user and the job and the association relationship between the user and the knowledge point;
determining the post information and knowledge point information of the login user after login according to the association relationship;
acquiring related integrated content data from the workflow engine according to the knowledge point information and/or the post information subscribed by the login user;
and if the post of the login is associated with the post of the user and the information of the knowledge point, taking the intersection part of the integrated content data corresponding to the post of the login and the information of the knowledge point as important content to prompt at the data end, otherwise, taking the part of the content of the integrated content data corresponding to the information of the knowledge point or the post information to prompt at the data end.
4. The method for designing the intelligent party building workflow engine based on cloud computing as claimed in claim 1, wherein the workflow engine classifies the data of the intelligent party building work content received from each data terminal into: party work, party member study, promotional work, campaign planning, civil problem, supervisory work and work management.
5. A smart party building workflow engine design system based on cloud computing, comprising:
the system comprises a construction unit and a management unit, wherein the construction unit is used for constructing a workflow engine based on a cloud computing terminal, and the workflow engine is used for performing resource integration, information classification, data maintenance and terminal interaction aiming at the work content constructed by the intelligent party; the workflow engine is also used for establishing a working directory of the workflow engine, the working directory comprises a content line and a time line, the content line is used for storing various types of processed working content information, and the time line is used for recording the generation time of various types of content information;
the identification unit is used for receiving data of the intelligent party building work content from each data end by utilizing the workflow engine, classifying the data, and comparing each type of data based on a standard database to obtain accurate content and difference content;
the maintenance unit is used for comparing and analyzing the difference content based on the standard database and carrying out error correction processing on the compared abnormal information;
and the pushing unit is used for carrying out resource integration on the accurate content and the error-corrected difference content and carrying out terminal prompt according to the importance of the integrated content data, wherein the prompted content comprises the integrated working content information and the corresponding generation time.
6. The cloud-computing-based intelligent party building workflow engine design system according to claim 5, wherein in the maintenance unit, the difference content is compared and analyzed based on the standard database, and the compared abnormal information is subjected to error correction processing, specifically:
establishing the standard database comprising standard data keywords, keywords and sensitive words;
and performing twice recognition of the keywords, the keywords and the sensitive words on the difference content by utilizing a DFA algorithm based on the standard database, replacing the sensitive words according to a preset rule after the first recognition, and performing manual error correction if the keywords and the keywords are missing or the sensitive words are not replaced after the second recognition.
7. The cloud-computing-based intelligent party building workflow engine design system according to claim 5, wherein in the pushing unit, resource integration is performed on the accurate content and the error-corrected difference content, and terminal prompting is performed according to importance of integrated content data, specifically comprising:
each data terminal records the job information and the knowledge point information of a login user and establishes the association relationship between the user and the job and the association relationship between the user and the knowledge point;
determining the post information and the knowledge point information of the login user after login according to the incidence relation;
acquiring related integrated content data from the workflow engine according to the knowledge point information and/or the post information subscribed by the login user;
and if the post information and the knowledge point information of the user are related after logging in, taking the intersection part of the integrated content data corresponding to the post information and the knowledge point information as important content to prompt at the data end, otherwise, taking part of the content of the integrated content data corresponding to the knowledge point information or the post information to prompt at the data end.
8. The cloud-computing-based intelligent party building workflow engine design system of claim 5, wherein the workflow engine specifically classifies the data of the intelligent party building work content received from each data terminal into: party work, party member study, promotional work, campaign planning, civil problem, supervisory work and work management.
9. A smart party building workflow engine design apparatus based on cloud computing, the apparatus comprising a processor and a memory:
the memory is used for storing a computer program and sending instructions of the computer program to the processor;
the processor executes the method for designing the intelligent party building workflow engine based on cloud computing according to any one of claims 1 to 4 according to the instructions of the computer program.
10. A computer storage medium, wherein a computer program is stored on the computer readable storage medium, and when executed by a processor, the computer program implements a method for designing a cloud computing-based smart party workflow engine according to any one of claims 1 to 4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210886949.0A CN115271434A (en) | 2022-07-26 | 2022-07-26 | Intelligent party building workflow engine design method and system based on cloud computing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210886949.0A CN115271434A (en) | 2022-07-26 | 2022-07-26 | Intelligent party building workflow engine design method and system based on cloud computing |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115271434A true CN115271434A (en) | 2022-11-01 |
Family
ID=83769908
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210886949.0A Pending CN115271434A (en) | 2022-07-26 | 2022-07-26 | Intelligent party building workflow engine design method and system based on cloud computing |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115271434A (en) |
-
2022
- 2022-07-26 CN CN202210886949.0A patent/CN115271434A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110119413B (en) | Data fusion method and device | |
CN111866016A (en) | Log analysis method and system | |
CN115098650B (en) | Comment information analysis method based on historical data model and related device | |
CN113626241B (en) | Abnormality processing method, device, equipment and storage medium for application program | |
CN111949643A (en) | Data processing method and system based on business modeling | |
CN116245112B (en) | Logistics information identification method and device and computer equipment | |
CN113407801A (en) | Cloud computing index recommendation method and system | |
CN111667141A (en) | Pending task case processing method, device, equipment and storage medium | |
CN114742477A (en) | Enterprise order data processing method, device, equipment and storage medium | |
CN112990281A (en) | Abnormal bid identification model training method, abnormal bid identification method and abnormal bid identification device | |
CN112184003A (en) | Bank counter workload assessment method and device, storage medium and electronic equipment | |
CN111913824A (en) | Method for determining data link fault reason and related equipment | |
CN114676423A (en) | Data processing method and server for dealing with cloud computing office threats | |
CN113138906A (en) | Call chain data acquisition method, device, equipment and storage medium | |
CN112860672A (en) | Method and device for determining label weight | |
CN116757837A (en) | Credit wind control method and system applied to winning bid | |
CN112016285B (en) | Logistics information processing method and processing system | |
CN116228429A (en) | Method and device for detecting transaction data | |
CN115271434A (en) | Intelligent party building workflow engine design method and system based on cloud computing | |
CN114707835A (en) | Data processing method and device, electronic equipment and computer readable medium | |
CN114896955A (en) | Data report processing method and device, computer equipment and storage medium | |
CN114330720A (en) | Knowledge graph construction method and device for cloud computing and storage medium | |
CN113762894A (en) | Data processing method and device, electronic equipment and storage medium | |
CN113779116A (en) | Object sorting method, related equipment and medium | |
CN112948469A (en) | Data mining method and device, computer equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |