CN116151780B - Item supervision method based on multi-approval node - Google Patents
Item supervision method based on multi-approval node Download PDFInfo
- Publication number
- CN116151780B CN116151780B CN202310436533.3A CN202310436533A CN116151780B CN 116151780 B CN116151780 B CN 116151780B CN 202310436533 A CN202310436533 A CN 202310436533A CN 116151780 B CN116151780 B CN 116151780B
- Authority
- CN
- China
- Prior art keywords
- approval
- item
- initiating
- node
- content
- 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.)
- Active
Links
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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- 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
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Economics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention belongs to the field of item supervision, and provides an item supervision method based on multiple approval nodes, which comprises the following steps: acquiring approval item initiating nodes, and distributing corresponding approval item content initiating authorities for each approval item initiating node; acquiring approval item initiating content of an approval item initiating node, and judging whether the approval item initiating content corresponds to approval item content initiating authority of the approval item initiating node or not; when the approval initiating content corresponds to the approval initiating authority of the approval initiating node, calculating an approval link according to the approval initiating node and the approval initiating content; according to the approval item initiating node and the approval item initiating content, calculating the approval period of each item approval node in the corresponding approval link; and acquiring the transaction supervision node based on the approval period of the transaction approval node, and automatically processing the supervision node.
Description
Technical Field
The invention relates to the field of item supervision, in particular to an item supervision method based on multiple approval nodes.
Background
At present, large-scale enterprises often relate to item approval processes, such as leave-for-leave approval, money-for-use approval, project approval and the like, and when different approval nodes are used in the approval processes, different departments complete approval passing or returning, and the involved departments are more, and different approval departments approve tasks by clicking through main responsible persons, so that the whole approval processes are different, and the approval nodes are ignored due to the fact that people do not pay attention for a long time and are not reminded in time, finally, the whole approval processes are delayed, and the work efficiency is greatly reduced.
For various types of approval processes, some approval process periods are required to be urgent, approval contents are important, multi-level approval is required, if approval contents cannot be timely processed at each node, the follow-up progress of matters can be affected, some approval process periods are required to be not urgent, if approval nodes are more common, and if more approval nodes are arranged, approval efforts and approval time of each approval node can be wasted. Thus, for different numbers of approval nodes, different approval content originators should be equipped with different approval links according to different approval contents, and for different approval links, if the approval is not timely, different supervision methods should be equipped.
Disclosure of Invention
The invention aims to provide a transaction supervision method based on multiple approval nodes, which can set different timing scanning mechanisms for different supervision matters according to the different supervision matters, set different reminding times for the different supervision matters according to the processing period of the supervision matters, and can automatically process the supervision matters needing to be reminded.
The invention solves the technical problems and adopts the following technical scheme:
a transaction supervision method based on multiple approval nodes comprises the following steps:
acquiring approval item initiating nodes, and distributing corresponding approval item content initiating authorities for each approval item initiating node;
acquiring approval item initiating content of an approval item initiating node, and judging whether the approval item initiating content corresponds to approval item content initiating authority of the approval item initiating node or not;
when the approval initiating content corresponds to the approval initiating authority of the approval initiating node, calculating an approval link according to the approval initiating node and the approval initiating content;
according to the approval item initiating node and the approval item initiating content, calculating the approval period of each item approval node in the corresponding approval link;
and acquiring the transaction supervision node based on the approval period of the transaction approval node, and automatically processing the supervision node.
As a further optimization, the approval initiating node corresponds to a department role of the user in the enterprise architecture.
As a further optimization, the obtaining the approval item initiating content of the approval item initiating node includes:
acquiring approval item initiating contents through an approval item initiating content template arranged in each approval item initiating node; and carrying out semantic analysis on the input approval item initiating content, extracting semantic features, and extracting approval initiating content.
As a further optimization, the method includes the steps that the approval item initiating content of the approval item initiating node is obtained, and whether the approval item initiating content corresponds to approval item content initiating authority of the approval item initiating node is judged, specifically, the method includes the steps of:
taking approval item initiating nodes as a first object set, taking approval item initiating content corresponding to each approval item initiating node as a second object set, taking approval item content initiating authority corresponding to each approval item initiating node as a third object set, and constructing a multi-level mapping relation of the first object set-the second object combination-the third object set.
As a further optimization, the content calculation approval link is initiated according to the approval item initiating node and the approval item initiating node, specifically:
acquiring all approval item initiating nodes, and extracting node characteristics of all approval item initiating nodes;
acquiring approval item initiating content corresponding to the approval item initiating node, and extracting semantic features of the approval item initiating content;
taking node characteristics and semantic characteristics as input, and constructing and training a link neural network;
when approval item initiating content exists in the approval item initiating node, calculating an approval link corresponding to the current approval item initiating content in the item initiating node through a link neural network;
and the current approval item initiating content is approved by each item approval node in the approval link through the calculated approval link.
As a further optimization, the approval period based on the item approval node obtains the item supervision node, specifically referring to:
when the current approval item initiating content is approved by each item approval node in the approval link through the calculated approval link, if the actual approval time of the item approval node exceeds the corresponding approval period, the next item approval node of the item approval node in the approval link is taken as an item supervision node.
As a further optimization, the automatic handling of the supervision matters specifically means: prompting a corresponding item approval node to approve the current approval item initiating content by the item supervision node, and if the item approval node does not approve the approval item initiating content within a specified time, directly approving the approval item initiating content by the item supervision node.
As further optimization, when the approval item initiating content does not correspond to the approval item content initiating authority of the approval item initiating node, the approval item initiating node is directly used for prompting the user.
The beneficial effects of the invention are as follows: through the transaction supervision method based on the multi-approval node, firstly, the supervision matters needing to be transacted are obtained, secondly, the processing period of each supervision matters is obtained, then, the supervision matters reminding time is set based on the processing period of each supervision matters, then, the supervision matters meeting reminding are obtained regularly, and finally, the reminding supervision matters are automatically processed, so that different timing scanning mechanisms can be set for the supervision matters according to different supervision matters, different reminding times are set for different supervision matters according to the processing period of the supervision matters, and the supervision matters needing to be reminded can be automatically processed.
Drawings
Fig. 1 is a flowchart of a transaction supervision method based on multiple approval nodes according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of 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 described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Examples
The embodiment of the invention provides a transaction supervision method based on multiple approval nodes, the flow chart of which is shown in fig. 1, wherein the method comprises the following steps:
s1, acquiring approval item initiating nodes, and distributing corresponding approval item content initiating authorities for each approval item initiating node;
s2, acquiring approval item initiating content of the approval item initiating node, and judging whether the approval item initiating content corresponds to approval item content initiating authority of the approval item initiating node;
s3, when the approval item initiating content corresponds to the approval item content initiating authority of the approval item initiating node, calculating an approval link according to the approval item initiating node and the approval item initiating content;
s4, calculating the approval period of each item approval node in the corresponding approval link according to the approval item initiation node and the approval item initiation content;
s5, acquiring the transaction supervision node based on the approval period of the transaction approval node, and automatically processing the supervision node.
In this embodiment, corresponding to different roles of each department in the enterprise, such as a department manager and department staff of different job classes, the approval item initiating node corresponding to the different roles should be corresponding to the roles, and the approval items initiated by the different roles are different, for the approval item content with a relatively acute condition, the embodiment can calculate a relatively short approval link to realize approval efficiency, and for the general approval item content, the calculation of the approval link can be performed according to the approval rule of the enterprise, and of course, if the corresponding roles in the approval node cannot be approved in time, the embodiment can also assist in completing the approval work through the set item supervising node, thereby further improving the approval efficiency.
In the actual application process, different departments and different roles exist in the enterprise, so that the approval initiating node corresponds to the department role of the user in the enterprise architecture.
Specifically, in order to obtain the approval content, a corresponding template may be set to obtain the user semantics, or the semantics may be directly analyzed according to the input content, so that the obtaining the approval item initiating content of the approval item initiating node may include:
acquiring approval item initiating contents through an approval item initiating content template arranged in each approval item initiating node; and carrying out semantic analysis on the input approval item initiating content, extracting semantic features, and extracting approval initiating content.
It should be noted that, the obtaining the approval initiating content of the approval initiating node and judging whether the approval initiating content corresponds to the approval initiating authority of the approval initiating node specifically refers to:
taking approval item initiating nodes as a first object set, taking approval item initiating content corresponding to each approval item initiating node as a second object set, taking approval item content initiating authority corresponding to each approval item initiating node as a third object set, and constructing a multi-level mapping relation of the first object set-the second object combination-the third object set.
In addition, the content calculation approval link is initiated according to the approval item initiating node and the approval item, specifically:
acquiring all approval item initiating nodes, and extracting node characteristics of all approval item initiating nodes;
acquiring approval item initiating content corresponding to the approval item initiating node, and extracting semantic features of the approval item initiating content;
taking node characteristics and semantic characteristics as input, and constructing and training a link neural network;
when approval item initiating content exists in the approval item initiating node, calculating an approval link corresponding to the current approval item initiating content in the item initiating node through a link neural network;
and the current approval item initiating content is approved by each item approval node in the approval link through the calculated approval link.
In this embodiment, the link neural network may use a BP neural network, an RBF neural network, or the like, as long as the requirement that two inputs and a single output can be used is satisfied.
In order to improve the approval efficiency when the approval node cannot timely make the approval, in this embodiment, an event supervision node is set up, where the approval period based on the event approval node obtains the event supervision node specifically refers to:
when the current approval item initiating content is approved by each item approval node in the approval link through the calculated approval link, if the actual approval time of the item approval node exceeds the corresponding approval period, the next item approval node of the item approval node in the approval link is taken as an item supervision node.
Additionally, in this embodiment, the automatic handling of the supervision matters specifically means: prompting a corresponding item approval node to approve the current approval item initiating content by the item supervision node, and if the item approval node does not approve the approval item initiating content within a specified time, directly approving the approval item initiating content by the item supervision node.
And finally, when the approval item initiating content does not correspond to the approval item content initiating authority of the approval item initiating node, prompting the user directly through the approval item initiating node.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A transaction supervision method based on multiple approval nodes is characterized by comprising the following steps:
acquiring approval item initiating nodes, and distributing corresponding approval item content initiating authorities for each approval item initiating node;
acquiring approval item initiating content of an approval item initiating node, and judging whether the approval item initiating content corresponds to approval item content initiating authority of the approval item initiating node or not;
when the approval initiating content corresponds to the approval initiating authority of the approval initiating node, calculating an approval link according to the approval initiating node and the approval initiating content;
according to the approval item initiating node and the approval item initiating content, calculating the approval period of each item approval node in the corresponding approval link;
acquiring a transaction supervision node based on an approval period of the transaction approval node, and automatically processing the supervision node;
the content calculation approval link is initiated according to the approval item initiating node and the approval item initiating node, and specifically refers to:
acquiring all approval item initiating nodes, and extracting node characteristics of all approval item initiating nodes;
acquiring approval item initiating content corresponding to the approval item initiating node, and extracting semantic features of the approval item initiating content;
taking node characteristics and semantic characteristics as input, and constructing and training a link neural network;
when approval item initiating content exists in the approval item initiating node, calculating an approval link corresponding to the current approval item initiating content in the item initiating node through a link neural network;
and the current approval item initiating content is approved by each item approval node in the approval link through the calculated approval link.
2. The multi-approval node-based transaction management method of claim 1, wherein the approval transaction initiation node corresponds to a department role of a user in an enterprise architecture.
3. The method for transaction supervision based on multiple approval nodes according to claim 1, wherein the obtaining approval transaction initiating contents of the approval transaction initiating node comprises:
acquiring approval item initiating contents through an approval item initiating content template arranged in each approval item initiating node; and carrying out semantic analysis on the input approval item initiating content, extracting semantic features, and extracting approval initiating content.
4. The method for managing items based on multiple approval nodes according to claim 1, wherein the method for acquiring the approval item initiating content of the approval item initiating node and judging whether the approval item initiating content corresponds to the approval item content initiating authority of the approval item initiating node specifically refers to:
taking approval item initiating nodes as a first object set, taking approval item initiating content corresponding to each approval item initiating node as a second object set, taking approval item content initiating authority corresponding to each approval item initiating node as a third object set, and constructing a multi-level mapping relation of the first object set-the second object combination-the third object set.
5. The item supervision method based on multiple approval nodes according to claim 1, wherein the item supervision node is obtained based on the approval period of the item approval node, specifically:
when the current approval item initiating content is approved by each item approval node in the approval link through the calculated approval link, if the actual approval time of the item approval node exceeds the corresponding approval period, the next item approval node of the item approval node in the approval link is taken as an item supervision node.
6. The multi-approval-node-based transaction supervision method according to claim 5, wherein the automatically handling the supervision is specifically: prompting a corresponding item approval node to approve the current approval item initiating content by the item supervision node, and if the item approval node does not approve the approval item initiating content within a specified time, directly approving the approval item initiating content by the item supervision node.
7. The method for transaction supervision based on multiple approval nodes according to any one of claims 1-6, wherein when the approval content is not corresponding to the approval content initiation authority of the approval initiating node, the user is prompted directly through the approval initiating node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310436533.3A CN116151780B (en) | 2023-04-23 | 2023-04-23 | Item supervision method based on multi-approval node |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310436533.3A CN116151780B (en) | 2023-04-23 | 2023-04-23 | Item supervision method based on multi-approval node |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116151780A CN116151780A (en) | 2023-05-23 |
| CN116151780B true CN116151780B (en) | 2023-07-25 |
Family
ID=86356547
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310436533.3A Active CN116151780B (en) | 2023-04-23 | 2023-04-23 | Item supervision method based on multi-approval node |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116151780B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116611675B (en) * | 2023-07-20 | 2024-01-12 | 广东省信息工程有限公司 | Supervision and supervision management method and system for multisource multi-center nodes |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615333A (en) * | 2018-12-13 | 2019-04-12 | 普元信息技术股份有限公司 | The system and method examined step by step in cloud platform based on drawer model realization process |
| CN112308541A (en) * | 2020-12-29 | 2021-02-02 | 南京智闪萤科技有限公司 | Method, computing device and computer storage medium for processing approval business process |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070073674A1 (en) * | 2005-09-26 | 2007-03-29 | Bea Systems, Inc. | System and method for providing federated events for content management systems |
| CN106779430A (en) * | 2016-12-23 | 2017-05-31 | 重庆足下科技有限公司 | The method and management equipment of a kind of Work Process Management |
| CN109829683A (en) * | 2018-12-25 | 2019-05-31 | 航天信息股份有限公司 | A kind of measures and procedures for the examination and approval and system in parallel based on traffic control stream |
| US11663555B2 (en) * | 2020-06-25 | 2023-05-30 | Saudi Arabian Oil Company | Method and system for managing approval workflow processes in a network system |
| CN112734272A (en) * | 2021-01-19 | 2021-04-30 | 建信金融科技有限责任公司 | Business flow approval method and device, electronic equipment and readable storage medium |
| CN113344522A (en) * | 2021-05-31 | 2021-09-03 | 珠海大横琴科技发展有限公司 | Supervision and management method and device of project management system |
| CN113988819A (en) * | 2021-11-11 | 2022-01-28 | 北京天融信网络安全技术有限公司 | Processing method and system of approval process, electronic device and storage medium |
-
2023
- 2023-04-23 CN CN202310436533.3A patent/CN116151780B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615333A (en) * | 2018-12-13 | 2019-04-12 | 普元信息技术股份有限公司 | The system and method examined step by step in cloud platform based on drawer model realization process |
| CN112308541A (en) * | 2020-12-29 | 2021-02-02 | 南京智闪萤科技有限公司 | Method, computing device and computer storage medium for processing approval business process |
Non-Patent Citations (1)
| Title |
|---|
| "工作事项督办管理系统的设计与实现";朱丹 等;《西安工程大学学报》;第29卷(第2期);195-199 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116151780A (en) | 2023-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116151780B (en) | Item supervision method based on multi-approval node | |
| CN111192004A (en) | Method for displaying current to-do task and subsequent to-do workflow | |
| Dachyar et al. | Business process Re-engineering of engineering procurement construction (EPC) project in oil and gas industry in Indonesia | |
| CN101127102A (en) | Contracted life cycle supervision system and method | |
| Balaji et al. | Software cost estimation using function point with non algorithmic approach | |
| CN116777148B (en) | Intelligent distribution processing system for service work orders based on data analysis | |
| Ming et al. | Ai as a driver of efficiency in waste management and resource recovery | |
| CN117151543A (en) | Engineering project quality management method and related device based on machine learning | |
| Ding et al. | [Retracted] Low Carbon Economy Assessment in China Using the Super‐SBM Model | |
| Kulkarni et al. | Role of artificial intelligence in sustainability reporting by leveraging ESG theory into action | |
| Al-Zarrad et al. | A new model to improve project time-cost trade-off in uncertain environments | |
| Betts | Methods and data used by large building contractors in preparing tenders | |
| CN109300025B (en) | Big data and deep learning-based auditing method and robot system | |
| Stojanov et al. | Evaluating software maintenance processes in small software company based on fuzzy screening | |
| Pacana et al. | Analysis of the use of agile methods, tools and techniques in foundry enterprises | |
| Ma et al. | Comparison Study on methods of software cost estimation | |
| CN109409717B (en) | Active auditing method based on big data and deep learning and robot system | |
| US20240311724A1 (en) | Data-based workflow generation device and method thereof | |
| Li et al. | The Research on Auto-Assignment Method of Service Orders Based on Rule Reasoning | |
| CN110262869B (en) | Private cloud Paas resource supply and demand party information interaction method | |
| CN109409720B (en) | Personalized auditing method based on big data and deep learning and robot system | |
| Liu et al. | Construction of Intelligent Control Decision Support System in Enterprises | |
| Case et al. | Some recent findings in Bayesian attribute single and double sampling | |
| Jokanović et al. | Application of Scrum Framework in Teamwork | |
| CN118644036A (en) | Engineering project contract changing system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |