CN112241428A - Digital decision-making method and system - Google Patents
Digital decision-making method and system Download PDFInfo
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- CN112241428A CN112241428A CN202011109657.3A CN202011109657A CN112241428A CN 112241428 A CN112241428 A CN 112241428A CN 202011109657 A CN202011109657 A CN 202011109657A CN 112241428 A CN112241428 A CN 112241428A
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Abstract
The invention discloses a digital decision-making method and a digital decision-making system, and belongs to the technical field of data processing. The method comprises the steps of acquiring structured data and unstructured data, and respectively processing the structured data and the unstructured data; and then, obtaining a decision index according to the processed structured data and the processed unstructured data, and then making a decision according to the decision index. The system comprises a data unit, a processing unit and a decision unit, wherein the data unit and the decision unit are respectively connected with the processing unit. The invention overcomes the defects of untimely and unreliable decision caused by low data management efficiency in the prior art, and provides a digital decision method and a digital decision system, which can realize the unified management of the data of the air traffic control system, thereby improving the reliability and timeliness of the decision; furthermore, the time consumption of a decision-making process can be greatly shortened, and the operation efficiency of an empty pipe system is greatly improved.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a digital decision-making method and a digital decision-making system.
Background
The concept of decision Support system DSS (decision Support system) was introduced in the early 70 s of the 20 th century by Michael s.scott Morton, management decision system, usa, which is "Decision Support System (DSS), generally understood as a computerized management information system, intended to help business owners, executives and managers solve complex business problems and/or issues".
The decision making system is a system researched by decision theory, generally comprises three parts of input, output and internal structure, and a mathematical model of the decision making system describes a state evolution equation and an output equation of a research object to embody the target required by a decision maker, so that the optimal decision can be obtained only after a reasonable target function is made. The decision support system is an analysis framework of the decision support system and comprises three main components of analysis guide, data source and analysis scene. Compared with the traditional index-driven analysis method, the analysis method in the digital era has certain improvement in the depth and breadth of insight due to the changes of service users, analysis objects, analysis methods and analysis tools.
In the decision management in the existing air traffic management (air traffic management) system, the decision management depends on the decision management experience, personal factors have large influence on the decision management, and data is lacked in the decision management as support, so that the decision is lack of scientificity, and further the decision efficiency is low; therefore, how to apply the decision system to the air traffic control system to improve the decision efficiency of the air traffic control system is a worth discussing problem.
For the application of decision systems, the prior art also proposes some solutions, such as the name of the invention creation: a digital enterprise cadre talent decision-making method (application date: 2019, 12 and 11 days; application number: 201911263356.3) discloses a digital enterprise cadre talent decision-making method, which is based on 'people + post' full life cycle data and evaluation data, and realizes intelligent matching of people and posts, growth files of cadre talents, comparison and analysis of cadre talent data, intelligent early warning of cadre talents and presentation of cadre talent data in a cockpit through data standardization, labeling unified management, data modeling and data analysis; through the combination of data standardization and labeling unified management and post job information, the 'people + post' full life cycle unified management is realized. The problem that a large amount of cadre/talent data are dispersed in different business modules can be solved to this scheme, realizes cadre/talent data and concentrates unified management, maintenance, application, avoids the repeated maintenance of each department of enterprise data of the same kind, promotes the reuse rate of data, alleviates data maintenance work load, promotes work efficiency. But the disadvantages of this solution are: unified management of various data inside an enterprise is not realized, so that decision reliability in enterprise management is low.
In summary, how to improve the data management efficiency and the decision reliability of the air traffic control system is an urgent problem to be solved in the prior art.
Disclosure of Invention
1. Problems to be solved
The invention overcomes the defects of untimely and unreliable decision caused by low data management efficiency in the prior art, and provides a digital decision method and a digital decision system, which can realize the unified management of the data of the air traffic control system, thereby improving the reliability and timeliness of the decision; furthermore, the time consumption of a decision-making process can be greatly shortened, and the operation efficiency of an empty pipe system is greatly improved.
2. Technical scheme
In order to solve the problems, the technical scheme adopted by the invention is as follows:
the invention discloses a digital decision-making method, which comprises the following steps: acquiring structured data and unstructured data; respectively processing the structured data and the unstructured data; and then, obtaining a decision index according to the processed structured data and the processed unstructured data, and then making a decision according to the decision index.
Furthermore, the specific process of processing the structured data is as follows: the method comprises the steps of screening structured data, and then carrying out format conversion on the screened structured data to obtain structured data with a uniform format.
Furthermore, the specific process of processing the unstructured data is as follows: extracting the unstructured data to obtain entities, relations and attributes, and constructing a knowledge graph according to the entities, the relations and the attributes.
Further, the specific process of obtaining the decision index according to the processed structured data is as follows: firstly, a data model is constructed according to the processed structured data, and then the processed structured data is processed through the data model to obtain a decision index.
Furthermore, the specific process of making a decision according to the decision index is as follows: dividing the decision index into a first-level index, a second-level index, a third-level index and an insight guide index; obtaining a decision point according to the first-level index, and obtaining a sub-decision point corresponding to the decision point according to the second-level index; then, acquiring analysis data corresponding to the sub-decision points according to the three-level indexes; then obtaining an analysis object and analysis content corresponding to the analysis data according to the insight index; and then obtaining a corresponding decision according to the analysis object and the analysis content.
Furthermore, the specific process of screening the structured data is as follows: and removing repeated data, invalid data and missing data in the structured data.
Further, structured data is screened using an ETL tool.
The invention discloses a digital decision-making system, which comprises a data unit, a decision-making unit and a decision-making unit, wherein the data unit is used for acquiring structured data and unstructured data; the processing unit is connected with the data unit and is used for processing the structured data and the unstructured data; and the decision unit is connected with the processing unit, and the analysis unit is used for making a decision according to the processed structured data and the processed unstructured data.
Furthermore, the processing unit comprises a data lake module, a structured module and an unstructured module, wherein the structured module and the unstructured module are respectively connected with the data lake module, the data lake module is used for storing structured data and unstructured data, the structured module is used for processing structured data, and the unstructured module is used for processing unstructured data.
Furthermore, the structured module comprises a resource center module, an extraction center module and a service center module, wherein the resource center module and the service center module are respectively connected with the extraction center module, and the extraction center module is used for constructing a data model according to the processed structured data.
3. Advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
(1) according to the digital decision method, the structured data and the unstructured data in the air pipe system are processed, so that unified management of the air pipe system data can be realized, and the management efficiency of the air pipe system data is improved; furthermore, a decision index is obtained through the incidence relation among the data, so that the reliability and timeliness of decision can be improved; the decision is made through the decision index, so that the time consumption of a decision making process can be greatly shortened, and the operation efficiency of an air traffic control system is improved.
(2) According to the digital decision-making system, the data unit and the processing unit are arranged, unified management of the data of the air traffic control system can be realized, and relevance operation can be performed on the data to obtain a decision-making index, so that the decision-making reliability is improved; furthermore, by arranging the decision unit, timely decision can be made, the decision efficiency is greatly improved, and the working efficiency of the air traffic control system is further improved.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention;
description of reference numerals: 100. a data unit; 200. a processing unit; 210. a data lake module; 220. a structuring module; 230. an unstructured module; 221. a resource center module; 222. an extraction central module; 223. a service center module; 300. and a decision unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments; moreover, the embodiments are not relatively independent, and can be combined with each other according to needs, so that a better effect is achieved. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
For a further understanding of the invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples.
Example 1
Referring to fig. 1, a digital decision method of the present invention includes the following steps:
1) obtaining data
Acquiring structured data and unstructured data; it is worth mentioning that the structured data and the unstructured data are sourced from data of an air traffic control system, including meteorological data, financial data, generation data, business data, employee data, and the like, wherein the structured data can be represented and stored by using a relational database, and is represented as data in a two-dimensional form; unstructured data cannot be represented numerically or with a uniform structure, including text information such as report documents, questionnaires, and image and audio/video information.
2) Processing data
Respectively processing the structured data and the unstructured data; the specific process of processing the structured data is as follows: the method comprises the steps of screening structured data, and specifically removing repeated data, invalid data and missing data in the structured data. The present embodiment utilizes the use of ETL tools to screen structured data. Further, because different structured data have different structures, the screened structured data are subjected to format conversion to obtain structured data with a uniform format. In this embodiment, the screened structured data is converted into structured data in a standard and uniform format by the data cube system.
In addition, the specific process of processing the unstructured data is as follows: extracting unstructured data to obtain entities, relations and attributes, and constructing a knowledge graph according to the entities, the relations and the attributes; the unstructured data can be associated by constructing the knowledge graph, so that the unstructured data can be conveniently analyzed and processed. It is worth noting that it is prior art to extract entities, relationships and attributes and construct a knowledge graph from the entities, relationships and attributes.
3) Obtaining a decision index
Obtaining a decision index according to the processed structured data and the processed unstructured data; the specific process of obtaining the decision index according to the processed structured data is as follows: firstly, a data model is constructed according to the processed structured data, and then the processed structured data is processed through the data model to obtain a decision index.
It should be noted that the process of constructing the data model is as follows: and selecting the associated processed structured data, and constructing an expression according to the attribute of the associated structured data, wherein the expression is a data model. And further calculating the corresponding decision index through an expression. For example, the downtime t1 caused by the fault and the equipment operation time t2 are selected, the equipment normality x can be calculated according to the downtime t1 caused by the fault and the equipment operation time t2, and the constructed expression is as follows: and x is (1-t1/t2) × 100%, and the normality of all the equipment can be calculated through the expression, so that the corresponding decision index can be obtained.
Further, the specific process of obtaining the decision index according to the processed unstructured data is as follows: acquiring corresponding files and the relation among the files by inquiring the knowledge graph, wherein the decision index comprises the files and the relation among the files; it is worth explaining that the association degree among the business processes can be known through the path relation among the files, and further the cooperation efficiency and the working efficiency among the business processes can be improved through simplifying the path.
4) Making a decision
Making a decision according to the decision index; specifically, the specific process of making a decision according to the decision index is as follows: dividing the decision index into a first-level index, a second-level index, a third-level index and an insight guide index; it should be noted that the second-level index is the refined content of the first-level index, the third-level index is the refined content of the second-level index, and the insight guide index is the refined content of the third-level index; the second level index, the third level index and the insight guide index can reflect the first level index from different angles.
Further, a decision point is obtained according to the first-level index, and then a sub-decision point corresponding to the decision point is obtained according to the second-level index; then, acquiring analysis data corresponding to the sub-decision points according to the three-level indexes; then obtaining an analysis object and analysis content corresponding to the analysis data according to the insight index; and then obtaining a corresponding decision according to the analysis object and the analysis content.
According to the digital decision method, the structured data and the unstructured data in the air pipe system are processed, so that unified management of the air pipe system data can be realized, and the management efficiency of the air pipe system data is improved; furthermore, a decision index is obtained through the incidence relation among the data, so that the reliability and timeliness of decision can be improved; the decision is made through the decision index, so that the time consumption of a decision making process can be greatly shortened, and the operation efficiency of an air traffic control system is improved.
Referring to fig. 2, a digital decision system according to the present invention includes a data unit 100, a processing unit 200, and a decision unit 300, wherein the data unit 100 and the decision unit 300 are respectively connected to the processing unit 200. The data unit 100 is used to obtain structured data and unstructured data, which are derived from respective system data in the air traffic control system. Further, the processing unit 200 is used for processing the structured data and the unstructured data; specifically, the processing unit 200 includes a data lake module 210, a structured module 220, and an unstructured module 230, the data lake module 210 is connected to the data unit 100, the data unit 100 transmits structured data and unstructured data to the data lake module 210, and the data lake module 210 is configured to store the structured data and the unstructured data. The data lake module 210 in this embodiment is a centralized repository that can store all structured data and unstructured data at any scale.
Further, the structuring module 220 and the unstructured module 230 are respectively connected to the data lake module 210, and the unstructured module 230 is configured to process unstructured data to obtain a knowledge graph, and obtain a decision index through the knowledge graph; the structuring module 220 is configured to process the structured data, and specifically, the structuring module 220 includes a resource center module 221, an extraction center module 222, and a service center module 223, where the resource center module 221 is connected to the data lake module 210, the data lake module 210 transmits the structured data to the resource center module 221, the resource center module 221 screens the structured data, and then performs format conversion on the screened structured data to obtain structured data in a unified format, in this embodiment, an ETL tool is used to screen the structured data, and a data cube system is used to perform format conversion on the screened structured data.
Further, the extraction center module 222 is connected to the resource center module 221, and the extraction center module 222 constructs a data model according to the processed structured data. The service center module 223 is connected to the extraction center module 222, and the service center module 223 processes the processed structured data through a data model to obtain a decision index. In addition, the decision unit 300 is connected to the structuring module 220 and the unstructured module 230, the structuring module 220 and the unstructured module 230 respectively transmit the decision index to the decision unit 300, and the decision unit 300 makes a decision according to the decision index.
According to the digital decision-making system, the data unit 100 and the processing unit 200 are arranged, unified management of the data of the air traffic control system can be realized, and relevance operation can be performed on the data to obtain a decision-making index, so that the decision-making reliability is improved; furthermore, by arranging the decision unit 300, timely decision can be made, so that the decision efficiency is greatly improved, and the working efficiency of the air traffic control system is further improved.
The invention has been described in detail hereinabove with reference to specific exemplary embodiments thereof. It will, however, be understood that various modifications and changes may be made without departing from the scope of the invention as defined in the appended claims. The detailed description and drawings are to be regarded as illustrative rather than restrictive, and any such modifications and variations are intended to be included within the scope of the present invention as described herein. Furthermore, the background is intended to be illustrative of the state of the art as developed and the meaning of the present technology and is not intended to limit the scope of the invention or the application and field of application of the invention.
Claims (10)
1. A digital decision method, comprising the steps of:
acquiring structured data and unstructured data;
respectively processing the structured data and the unstructured data;
and obtaining a decision index according to the processed structured data and the processed unstructured data, and then making a decision according to the decision index.
2. The digital decision-making method according to claim 1, wherein the specific process of processing the structured data is: the method comprises the steps of screening structured data, and then carrying out format conversion on the screened structured data to obtain structured data with a uniform format.
3. The digital decision-making method according to claim 1, wherein the unstructured data is processed by the following specific procedures: extracting the unstructured data to obtain entities, relations and attributes, and constructing a knowledge graph according to the entities, the relations and the attributes.
4. The digital decision-making method according to claim 1, wherein the specific process of obtaining the decision-making index according to the processed structured data is: firstly, a data model is constructed according to the processed structured data, and then the processed structured data is processed through the data model to obtain a decision index.
5. The digital decision method according to claim 1, wherein the decision making process based on the decision index comprises: dividing the decision index into a first-level index, a second-level index, a third-level index and an insight guide index;
obtaining a decision point according to the first-level index, and obtaining a sub-decision point corresponding to the decision point according to the second-level index;
then, acquiring analysis data corresponding to the sub-decision points according to the three-level indexes; then obtaining an analysis object and analysis content corresponding to the analysis data according to the insight index; and then obtaining a corresponding decision according to the analysis object and the analysis content.
6. The digital decision-making method according to claim 2, wherein the specific process of screening the structured data is as follows: and removing repeated data, invalid data and missing data in the structured data.
7. A method as claimed in claim 2 or 6, wherein the ETL tool is used to screen the structured data.
8. A digital decision making system, comprising
A data unit for obtaining structured data and unstructured data;
the processing unit is connected with the data unit and is used for processing the structured data and the unstructured data;
and the decision unit is connected with the processing unit, and the analysis unit is used for making a decision according to the processed structured data and the processed unstructured data.
9. The digital decision-making system according to claim 8, wherein the processing unit comprises a data lake module, a structured module and an unstructured module, the structured module and the unstructured module are respectively connected with the data lake module, wherein the data lake module is used for storing structured data and unstructured data, the structured module is used for processing structured data, and the unstructured module is used for processing unstructured data.
10. The digital decision-making system according to claim 9, wherein the structuring module comprises a resource center module, an extraction center module and a service center module, the resource center module and the service center module are respectively connected with the extraction center module, wherein the extraction center module is configured to construct a data model according to the processed structuring data.
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| CN113590691A (en) * | 2021-08-04 | 2021-11-02 | 浙江网商银行股份有限公司 | Target object processing method and device |
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| CN113590691A (en) * | 2021-08-04 | 2021-11-02 | 浙江网商银行股份有限公司 | Target object processing method and device |
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