Digital economy calculation system based on big data
By designing a digital economy calculation system based on big data, the problem of classified calculation of multiple materials and furniture in digital economy calculation is solved, and the accuracy of calculation is improved.
Patent Information
- Application Number
- CN202411619258.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2025-03-07
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the process of digital economy calculation, when facing furniture companies, due to the large variety of furniture and different materials, it is difficult to classify and calculate the digital economy of each material, which affects the accuracy of the calculation.
Design a digital economy calculation system based on big data, including the first database, data processing module, calculation module and sorting module. The data processing module classifies the information, the calculation module calculates the classified data one by one, and the organization module organizes and displays the calculation results.
Through classification processing and calculation one by one, the classification and calculation of digital economy information is realized, and the accuracy of digital economy calculation is improved.
Smart Images

Figure CN119577216A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of digital economy technology, and in particular to a digital economy calculation system based on big data. Background Art
[0002] Digital economy is an economic form that uses data resources as key elements, modern information networks as the main carrier, and the application of digital technology to promote economic development. It covers emerging technologies such as big data, cloud computing, the Internet of Things, blockchain, artificial intelligence, and 5G communications, and is reflected in new business models such as "new retail" and "new manufacturing".
[0003] At present, in the process of estimating the digital economy, the digital economy is usually estimated as a whole. However, when facing furniture companies, for example, there are many types of furniture, and the same furniture is made of different materials. In the process of estimating the digital economy, it is difficult to classify and estimate the digital economy of each material of furniture, which may affect the accuracy of the overall digital economy estimation. Therefore, a digital economy estimation system based on big data is invented. Summary of the invention
[0004] In view of the above-mentioned and / or existing problems in a digital economy measurement system based on big data, the present invention is proposed.
[0005] Therefore, the purpose of the present invention is to provide a digital economy measurement system based on big data, which can solve the above-mentioned existing problems.
[0006] To solve the above technical problems, according to one aspect of the present invention, the present invention provides the following technical solutions:
[0007] A digital economy measurement system based on big data, comprising:
[0008] The first database is used to store digital economic information;
[0009] A data processing module, used for classifying and processing the information stored in the first database, wherein the data processing module is connected to the first database;
[0010] A calculation module is used to calculate the data classified by the data processing module one by one, and the calculation module is connected to the data processing module;
[0011] The sorting module is used to sort the data calculated by the measuring module for the convenience of personnel viewing, and the sorting module is connected to the measuring module.
[0012] As a preferred solution of the digital economy calculation system based on big data described in the present invention, the data processing module includes:
[0013] An information acquisition module, used to acquire information stored in the first database, wherein the information acquisition module is connected to the first database;
[0014] An information classification module is used to classify the information acquired by the information acquisition module, and the information classification module is connected to the information acquisition module;
[0015] The second database is used to store the data classified by the information classification module, and the second database is connected to the information classification module.
[0016] As a preferred solution of the digital economy calculation system based on big data described in the present invention, the calculation module includes:
[0017] The third database is used to store various relevant information on the digital economy;
[0018] An input module, used to supplement the data in the third database, and the input module is connected to the Internet to achieve real-time update of the data in the third database, and the input module is connected to the third database;
[0019] The comparison module is used to compare the data stored in the second database one by one according to the data stored in the third database, and the comparison module is connected to the second database and the third database.
[0020] As a preferred solution of the digital economy calculation system based on big data described in the present invention, the calculation module further includes:
[0021] An analysis module is used to analyze the data compared by the comparison module, and the analysis module is connected to the comparison module;
[0022] The judgment module is used to judge whether there are contradictory data in the data analyzed by the analysis module, and the judgment module is connected to the analysis module.
[0023] As a preferred solution of the digital economy calculation system based on big data described in the present invention, the calculation module further includes:
[0024] A first evaluation module, used for evaluating the data analyzed by the analysis module according to the data judged by the judgment module to obtain a set of evaluation data, wherein the first evaluation module is connected to the judgment module;
[0025] The second evaluation module is used to evaluate the data analyzed by the analysis module according to the data judged by the judgment module to obtain another set of evaluation data. The second evaluation module is connected to the judgment module.
[0026] As a preferred solution of the digital economy calculation system based on big data described in the present invention, the sorting module includes:
[0027] A chart generation module, used for generating a chart from the data evaluated by the first evaluation module and the second evaluation module, wherein the chart generation module is connected to the first evaluation module and the second evaluation module;
[0028] The display module is used to display the data generated by the chart generation module, and the display module is connected to the chart generation module.
[0029] As a preferred solution of the digital economy calculation system based on big data described in the present invention, the sorting module further includes:
[0030] An information storage module is used to store personnel contact information;
[0031] An information extraction module is used to extract the data stored in the information storage module, and the information extraction module is connected with the information storage module and the chart generation module;
[0032] The email sending module is used to send the data generated by the chart generating module to the personnel according to the information extracted by the information extracting module.
[0033] As a preferred solution of the digital economy measurement system based on big data described in the present invention, the second database is composed of a plurality of storage units to realize the storage of the data classified by the information classification module one by one, and the storage unit is connected to the information classification module.
[0034] As a preferred solution of the digital economy measurement system based on big data described in the present invention, the third database is composed of a plurality of storage units to realize the classified storage of relevant information of different types of digital economy, and the storage unit is connected to the input module.
[0035] As a preferred solution of the digital economy measurement system based on big data described in the present invention, the comparison module is composed of a plurality of comparison units to realize one-by-one comparison of the data stored in the storage unit according to the data stored in the storage unit, and the comparison unit is connected to the storage unit and the storage unit.
[0036] Compared with existing technologies:
[0037] By setting up a data processing module for classifying the information stored in the first database, and by setting up a calculation module for calculating the data classified by the data processing module one by one, it is possible to classify and calculate the data economic information, thereby improving the accuracy of the calculation of the data economy to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] Figure 1 It is a schematic diagram of the process of the present invention.
[0039] Figure 2 It is a flow chart of the second database, comparison module and third database of the present invention. DETAILED DESCRIPTION
[0040] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0041] The present invention provides a digital economy calculation system based on big data, please refer to Figure 1-Figure 2 ;
[0042] It includes: a first database for storing digital economic information; a data processing module for classifying and processing the information stored in the first database, and the data processing module is connected to the first database; a calculation module for calculating the data classified by the data processing module one by one, and the calculation module is connected to the data processing module; a sorting module for sorting the data calculated by the calculation module for the convenience of personnel viewing, and the sorting module is connected to the calculation module.
[0043] The data processing module includes: an information acquisition module, which is used to acquire the information stored in the first database, and the information acquisition module is connected to the first database; an information classification module, which is used to classify the information acquired by the information acquisition module, and the information classification module is connected to the information acquisition module; a second database, which is used to store the data classified by the information classification module, and the second database is connected to the information classification module.
[0044] The measurement module includes: a third database for storing various relevant information about the digital economy; an input module for supplementing the data in the third database, and the input module is connected to the Internet to realize real-time updating of the data in the third database, and the input module is connected to the third database; a comparison module for comparing the data stored in the second database one by one according to the data stored in the third database, and the comparison module is connected to the second database and the third database; a parsing module for parsing the data compared by the comparison module, and the parsing module is connected to the comparison module; a judgment module for judging whether there is contradictory data in the data parsed by the parsing module, and the judgment module is connected to the parsing module; a first evaluation module for evaluating the data analyzed by the parsing module according to the data judged by the judgment module to obtain a set of evaluation data, and the first evaluation module is connected to the judgment module; a second evaluation module for evaluating the data analyzed by the parsing module according to the data judged by the judgment module to obtain another set of evaluation data, and the second evaluation module is connected to the judgment module.
[0045] The sorting module includes: a chart generating module, which is used to generate charts from the data evaluated by the first evaluation module and the second evaluation module, and the chart generating module is connected to the first evaluation module and the second evaluation module; a display module, which is used to display the data generated by the chart generating module, and the display module is connected to the chart generating module; an information storage module, which is used to store the contact information of personnel; an information extraction module, which is used to extract the data stored in the information storage module, and the information extraction module is connected to the information storage module and the chart generating module; and an email sending module, which is used to send the data generated by the chart generating module to the personnel based on the information extracted by the information extraction module.
[0046] Among them: the second database is composed of a number of storage units to realize the storage of data classified by the information classification module one by one, and its storage unit is connected to the information classification module; the third database is composed of a number of storage units to realize the classified storage of relevant information of different types of digital economy, and its storage unit is connected to the input module; the comparison module is composed of a number of comparison units to realize the one-by-one comparison of the data stored in the storage unit according to the data stored in the storage unit, and its comparison unit is connected to the storage unit and the storage unit.
[0047] When used, the specific steps are as follows:
[0048] Step 1: The information stored in the first database is acquired through the information acquisition module. After acquisition, the information acquired by the information acquisition module is classified through the information classification module. After classification, the data classified by the information classification module is stored in the second database;
[0049] Step 2: The data stored in the second database are compared one by one according to the data stored in the third database through the comparison module. After the comparison, the data compared by the comparison module will be analyzed by the analysis module. After the analysis, the judgment module will be used to judge whether there is contradictory data in the data analyzed by the analysis module. If not, the data analyzed by the analysis module will be evaluated by the first evaluation module. If so, the data analyzed by the analysis module will be divided into two groups. For example, the data analyzed by the analysis module is (1, 2, 3, 4, A<B, A>B). At this time, the data divided into two groups are (1, 2, 3, 4, A<B, A>B) and (1, 2, 3, 4, A>B). Based on this, the data analyzed by the analysis module will be evaluated by the first evaluation module according to the data judged by the judgment module to obtain a group of evaluation data. Then, the data analyzed by the analysis module will be evaluated by the second evaluation module according to the data judged by the judgment module to obtain another group of evaluation data.
[0050] Step three: Generate a chart with the data evaluated by the first evaluation module and the second evaluation module through the chart generation module. After generation, the data generated by the chart generation module will be displayed through the display module. At the same time, the data stored in the information storage module (email address data) will be extracted through the information extraction module. After extraction, the data generated by the chart generation module will be sent to personnel through the email sending module according to the information extracted by the information extraction module.
[0051] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced by equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed in the present invention may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.
Claims
1. A digital economy calculation system based on big data, characterized in that: include: The first database is used to store digital economic information; A data processing module, used for classifying and processing the information stored in the first database; A calculation module is used to calculate the data classified by the data processing module one by one; The sorting module is used to sort the data calculated by the measurement module for easy viewing by personnel; The calculation module comprises: The third database is used to store various relevant information on the digital economy; An input module is used to supplement the data in the third database to achieve real-time update of the data in the third database; The comparison module is used to compare the data stored in the second database one by one according to the data stored in the third database.
2. According to the big data-based digital economy calculation system of claim 1, it is characterized in that: The data processing module comprises: An information acquisition module, used to acquire information stored in the first database; An information classification module, used for classifying the information acquired by the information acquisition module; The second database is used to store the data classified by the information classification module.
3. According to the big data-based digital economy measurement system of claim 2, it is characterized in that: The calculation module also includes: The parsing module is used to parse the data compared by the comparison module; The judgment module is used to judge whether there is contradictory data in the data analyzed by the analysis module.
4. According to the big data-based digital economy calculation system of claim 3, it is characterized in that: The calculation module also includes: A first evaluation module, used for evaluating the data analyzed by the analysis module according to the data judged by the judgment module to obtain a set of evaluation data; The second evaluation module is used to evaluate the data analyzed by the analysis module according to the data judged by the judgment module to obtain another set of evaluation data.
5. According to the big data-based digital economy calculation system of claim 4, it is characterized in that: The tidying module comprises: A chart generating module, used for generating a chart from the data evaluated by the first evaluation module and the second evaluation module; The display module is used to display the data generated by the chart generation module.
6. According to the big data-based digital economy measurement system of claim 5, it is characterized in that: The tidying module also includes: An information storage module is used to store personnel contact information; An information extraction module, used to extract data stored in the information storage module; The email sending module is used to send the data generated by the chart generating module to the personnel according to the information extracted by the information extracting module.
7. A digital economy calculation system based on big data according to claim 6, characterized in that: The second database is composed of a plurality of storage units to store the data classified by the information classification module one by one.
8. The digital economy calculation system based on big data according to claim 7 is characterized in that: The third database is composed of a plurality of storage units to realize classified storage of relevant information of different types of digital economy.
9. The digital economy calculation system based on big data according to claim 8 is characterized in that: The comparison module is composed of a plurality of comparison units, so as to realize one-by-one comparison of the data stored in the storage unit according to the data stored in the storage unit.
Citation Information
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