CN111737549A - Economic index intelligent analysis system - Google Patents
Economic index intelligent analysis system Download PDFInfo
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- CN111737549A CN111737549A CN202010612560.8A CN202010612560A CN111737549A CN 111737549 A CN111737549 A CN 111737549A CN 202010612560 A CN202010612560 A CN 202010612560A CN 111737549 A CN111737549 A CN 111737549A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
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- G—PHYSICS
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- 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
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The invention relates to the technical field of economic indexes, in particular to an intelligent analysis system for economic indexes, which comprises: the index data crawling module is used for crawling corresponding economic index data in/on a target data source terminal according to a preset economic index data mining rule; the index data preprocessing module is used for classifying the economic index data and standardizing the formats of the corresponding economic index data according to the format standardization rules corresponding to each class; the index analysis module is used for recording the economic index data set with the standardized format into a corresponding index analysis model to realize the analysis of the economic index data; and the analysis report making module is used for making a corresponding economic index analysis report according to the analysis result of the index analysis module. The automatic acquisition and comprehensive analysis of the economic index data are realized, so that various economic index data can be converted into available data with information and commercial values.
Description
Technical Field
The invention relates to the technical field of economic indexes, in particular to an intelligent analysis system for economic indexes.
Background
The size of the economic index can reflect certain social phenomena, so that the realization of real-time monitoring and analysis of the economic index is particularly important.
At present, although many traditional logs or other professional tools can help enterprises/individuals analyze most economic index data, the acquisition process of the economic index data still needs to be manually realized, time and labor are wasted, meanwhile, errors and omissions are easy to occur, the traditional product tools only stop processing the data in respective split, simple diagrams and simple listing and querying modes at present, the analysis result is extremely one-sided, and the incidence relation of the economic index data and the commercial value information loaded in the economic index data cannot be well presented.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent economic index analysis system, which realizes automatic acquisition and comprehensive analysis of economic index data, so that various economic index data can be converted into available data with information and commercial value.
In order to achieve the purpose, the invention adopts the technical scheme that:
an economic indicator intelligent analysis system, comprising:
the index data crawling module is used for crawling corresponding economic index data in/on a target data source terminal according to a preset economic index data mining rule;
the index data preprocessing module is used for classifying the economic index data and standardizing the formats of the corresponding economic index data according to the format standardization rules corresponding to each class;
the index analysis module is used for recording the economic index data set with the standardized format into a corresponding index analysis model to realize the analysis of the economic index data;
and the analysis report making module is used for making a corresponding economic index analysis report according to the analysis result of the index analysis module.
Further, still include:
and the data visualization analysis module is used for realizing visualization analysis of the economic index data set with standardized format and the index analysis result based on the Tableau Desktop.
Further, the index analysis module extracts feature data of the historical economic index data set based on a Word2vec algorithm, simultaneously operates a preset economic index analysis model based on Hadoop to realize the analysis of the economic index data set with standardized format, and outputs a corresponding analysis result.
Further, the economic index analysis model is constructed based on a historical economic index data set and a corresponding analysis result by adopting a neural network model.
Furthermore, the economic index crawling module is internally provided with an authority configuration module and is used for configuring corresponding data crawling authorities for each economic index crawling module.
Furthermore, the internal encryption module of the economic index crawling module is used for randomly encrypting the crawled economic index data, and the corresponding decryption logic algorithm matched with the random encryption algorithm is loaded in the data preprocessing module and used for decrypting the encrypted economic index data.
Further, still include:
and the early warning module is started and closed according to the evaluation result of the index analysis module, is started when the evaluation result falls into a preset early warning threshold, and realizes early warning in a short message automatic editing and sending mode, wherein the sent short message at least comprises the analysis result of the current index analysis module and the corresponding data source information thereof.
The invention has the following beneficial effects:
the automatic acquisition and pretreatment of the economic index data are realized, the workload of workers is greatly reduced, and the problems of error and omission in manual data acquisition are well avoided.
The method comprises the steps of extracting characteristic data of a historical economic index data set based on a Word2vec algorithm, simultaneously operating a preset economic index analysis model based on Hadoop to realize analysis of the economic index data set with a standardized format, and realizing comprehensive and rapid analysis of economic indexes, so that various economic index data can be converted into available data with information and commercial values.
By analyzing the optimization of the report form format, the staff can clearly acquire the relation between the source and the internal load of the corresponding economic index data set and then acquire the internal load commercial value information.
Drawings
Fig. 1 is a system block diagram of an economic indicator intelligent analysis system according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides an economic indicator intelligent analysis system, including:
the index data crawling module is used for crawling corresponding economic index data in/on a target data source terminal according to a preset economic index data mining rule; all the collected economic index data carry corresponding data source hyperlinks, and the data source hyperlinks adopt a locking mode, namely, the data loaded in the hyperlinks cannot be read in the subsequent index data preprocessing and analyzing processes, and it is noted that the index data which completes format standardization still carries the hyperlinks;
the index data preprocessing module is used for classifying the economic index data and standardizing the formats of the corresponding economic index data according to the format standardization rules corresponding to each class;
the index analysis module is used for recording the economic index data set with the standardized format into a corresponding index analysis model to realize the analysis of the economic index data;
the data visualization analysis module is used for realizing visualization analysis of an economic index data set with standardized format and an index analysis result based on Tableau Desktop, and recording the whole data visualization analysis process based on the script recording module when visualization analysis is carried out;
the analysis report making module is used for making a corresponding economic index analysis report according to the analysis result of the index analysis module; during manufacturing, the economic index data set with standardized format, the corresponding economic index analysis result and the corresponding visual analysis script data (playback of the visual analysis process can be realized through playback of the script data) are filled into a preset template, corresponding hyperlink unlocking operation is realized, and a user can check data source information by clicking the hyperlink, so that the corresponding analysis report is obtained.
The early warning module is started and closed according to the evaluation result of the index analysis module, and is started when the evaluation result falls into a preset early warning threshold, and early warning is realized in a short message automatic editing and sending mode, wherein the sent short message at least comprises the analysis result of the current index analysis module and corresponding data source information;
and the central processing module is used for coordinating the work of the modules.
In this embodiment, the index analysis module extracts feature data of a historical economic index data set based on a Word2vec algorithm, and simultaneously operates a preset economic index analysis model based on Hadoop to realize analysis of the economic index data set with a standardized format, and outputs a corresponding analysis result. The economic index analysis model is constructed based on a historical economic index data set and a corresponding analysis result by adopting a neural network model.
In this embodiment, the internal authority configuration module of the economic indicator crawling module is configured to configure corresponding data crawling authorities for each economic indicator crawling module.
In this embodiment, the internal encryption module of the economic indicator crawling module is configured to implement random encryption of the crawled economic indicator data, and return the economic indicator data in a random encryption manner, so that security of returned economic indicator data can be ensured. Correspondingly, the data preprocessing module is internally loaded with a decryption logic algorithm matched with the random encryption algorithm and used for realizing decryption of the encrypted economic index data.
In this embodiment, a data storage module is configured to store all historical data generated by the system, the data storage module realizes positioning of data based on a facet technology, and accurate positioning of data is realized by calculating a facet distance between different data terms; when the data is positioned, corresponding terms are selected under the constraint of the known facets, so that the description of the required data is completed, and if the selection is successful, the corresponding data is returned; if the selection is unsuccessful, the system will calculate the similarity of terms from the synonym dictionary and the conceptual distance map, forming new positioning information.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (7)
1. The utility model provides an economic indicator intelligent analysis system which characterized in that: the method comprises the following steps:
the index data crawling module is used for crawling corresponding economic index data in/on a target data source terminal according to a preset economic index data mining rule;
the index data preprocessing module is used for classifying the economic index data and standardizing the formats of the corresponding economic index data according to the format standardization rules corresponding to each class;
the index analysis module is used for recording the economic index data set with the standardized format into a corresponding index analysis model to realize the analysis of the economic index data;
and the analysis report making module is used for making a corresponding economic index analysis report according to the analysis result of the index analysis module.
2. The intelligent economic indicator analysis system of claim 1, wherein: further comprising:
and the data visualization analysis module is used for realizing visualization analysis of the economic index data set with standardized format and the index analysis result based on the Tableau Desktop.
3. The intelligent economic indicator analysis system of claim 1, wherein: the index analysis module extracts characteristic data of a historical economic index data set based on a Word2vec algorithm, simultaneously operates a preset economic index analysis model based on Hadoop to realize the analysis of the economic index data set with standardized format, and outputs a corresponding analysis result.
4. The intelligent economic indicator analysis system of claim 3, wherein: the economic index analysis model is constructed based on a historical economic index data set and a corresponding analysis result by adopting a neural network model.
5. The intelligent economic indicator analysis system of claim 1, wherein: and the internal authority configuration module of the economic index crawling module is used for configuring corresponding data crawling authorities for each economic index crawling module.
6. The intelligent economic indicator analysis system of claim 1, wherein: the internal encryption module of the economic index crawling module is used for realizing random encryption of the crawled economic index data, and correspondingly, the data preprocessing module is internally provided with a decryption logic algorithm matched with the random encryption algorithm and used for realizing decryption of the encrypted economic index data.
7. The intelligent economic indicator analysis system of claim 1, wherein: further comprising:
and the early warning module is started and closed according to the evaluation result of the index analysis module, is started when the evaluation result falls into a preset early warning threshold, and realizes early warning in a short message automatic editing and sending mode, wherein the sent short message at least comprises the analysis result of the current index analysis module and the corresponding data source information thereof.
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| CN112150264A (en) * | 2020-10-13 | 2020-12-29 | 信阳农林学院 | Enterprise financial balance analysis system based on cloud platform |
| CN112256937A (en) * | 2020-11-28 | 2021-01-22 | 河南工业职业技术学院 | Information analysis system based on computer |
| CN112835971A (en) * | 2021-03-04 | 2021-05-25 | 重庆三峡学院 | Data visualization processing system based on big data |
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