CN111179022A - Industrial and commercial data processing system and method - Google Patents
Industrial and commercial data processing system and method Download PDFInfo
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- CN111179022A CN111179022A CN201911257353.9A CN201911257353A CN111179022A CN 111179022 A CN111179022 A CN 111179022A CN 201911257353 A CN201911257353 A CN 201911257353A CN 111179022 A CN111179022 A CN 111179022A
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Abstract
The embodiment of the invention discloses an industrial and commercial data processing method, which comprises the following specific steps: carrying out data information division and data information source tracing on the industrial and commercial data, and constructing a data quality problem domain and an industrial and commercial information tracking domain; carrying out structured crawling on enterprise business data, and carrying out data conversion through a heterogeneous data conversion tool; the system comprises an e-commerce platform system, a big data system for industrial and commercial credit, a big data crawler system, an external data acquisition website, a database, a data heterogeneous conversion front end and a risk early warning module connected to the e-commerce platform system and the big data system for industrial and commercial credit, and is used for analyzing, searching and evaluating the supplier information of the bid in the e-commerce platform system and the quality of the industrial and commercial data of the bid link efficiently and timely, and ensuring the stability and reliability of the industrial and commercial data.
Description
Technical Field
The embodiment of the invention relates to the technical field of industrial and commercial systems, in particular to an industrial and commercial data processing system and a processing method.
Background
In recent years, the information-oriented construction of network financial business systems, such as national key construction projects, has been rapidly developed, but compared with the development strategy of national network information platforms, the network bidding and bidding projects on the e-commerce platform system have problems, particularly the quality of business data.
The main problems of the current enterprise business data include: because an enterprise has a certain life cycle and the state of the enterprise is in dynamic change, inconsistent relations exist between enterprise information and the current state of the enterprise in databases of an e-commerce platform and a business-business credit big data system, and the e-commerce platform system lacks of monitoring the enterprise information; the difference exists between information in databases of E-commerce platforms and large industrial and commercial credit data systems and standard information of enterprise operation, the consistency of data is poor, the same bidding and bidding project data interpretation is not successful, the industrial and commercial data coding is different, the aggregation and reporting of the industrial and commercial data have certain difficulty, and the data exchange cannot be realized.
Disclosure of Invention
Therefore, the industrial and commercial data processing system and the processing method provided by the embodiment of the invention effectively solve the problem that due to the fact that an enterprise has a certain life cycle and the state of the enterprise is in dynamic change, inconsistent relation exists between enterprise information and the current state of the enterprise in databases of an e-commerce platform and a large industrial and commercial credit data system, and the enterprise information is lack of supervision in the e-commerce platform system; the difference exists between information in databases of E-commerce platforms and large industrial and commercial credit data systems and standard information of enterprise operation, the consistency of data is poor, the same bidding and bidding project data interpretation is not successful, the industrial and commercial data coding is different, the aggregation and reporting of the industrial and commercial data have certain difficulty, and the data exchange cannot be realized.
In order to achieve the above object, an embodiment of the present invention provides the following:
a business data processing method comprises the following specific steps:
s100, carrying out data information division and data information tracing on enterprise business data in an opening process of the E-commerce platform system, and constructing a data quality problem domain and an industrial and commercial information tracing domain in an industrial and commercial credit big data system according to the result of the information division;
s200, performing structured crawling on enterprise business and business operation data by using a passive big data crawler system to form temporary data of an enterprise business database and related data of the enterprise business database, and performing data conversion on the temporary data of the enterprise business database and a business information tracking domain through a heterogeneous data conversion tool;
s300, respectively putting the converted temporary data of the enterprise industrial and commercial database and the related data of the enterprise industrial and commercial database into a data quality problem domain and an industrial and commercial information tracking domain;
and S400, carrying out data analysis on the temporary data of the enterprise and commercial database by utilizing expert rules and a data anomaly analysis algorithm in the industrial and commercial credit big data system, and feeding back a data analysis result and the related data of the enterprise and commercial database in the industrial and commercial information tracking domain to the e-commerce platform system.
The data information division of the enterprise business service data in the bidding process of the e-commerce platform system specifically comprises four aspects of data information structure, data information technology, data information processing and data information management, the data quality calibration of the enterprise business service data in the four aspects is carried out through data description deviation and data measurement standards, and the change frequency of the data measurement standards and the life cycle of the enterprise business service data in the bidding process are used as database log nodes of a data quality problem domain.
As a preferred scheme of the invention, the data information tracing is triggered from the data generation process of the enterprise business data, legal rules are added in the data information tracing process to generate a supervision event, a risk early warning model of the enterprise business data is generated according to the legal rules, and the risk early warning model is connected to the e-commerce platform system.
As a preferred scheme of the invention, the risk early warning model for generating the enterprise operation business data according to the legal rules comprises a form information acquisition module for acquiring the enterprise operation business, a detection module for acquiring the personnel information of the operation enterprise, a judgment module for judging the legality of the enterprise operation business according to the legal rules and presetting the predicted conditions, and a monitoring early warning module for monitoring data packets generated by the form information acquisition module, the detection module and the judgment module, and triggers and starts a risk control process of the e-commerce platform system through the monitoring early warning module.
As a preferred embodiment of the present invention, in S200, the step of performing structured crawling on the enterprise business data by using the passive big data crawler system includes:
s201, inputting bid-opening bid supplier information of an enterprise into a big industrial and commercial credit data system by an E-commerce platform system;
s202, the big data system for the industrial and commercial credit calls a big data crawler system to perform multi-dimensional data crawling of the bidding supplier information according to four aspects of data information division and data information source tracing;
s203, the big data crawler system performs data classification and bid provider association information analysis on the crawled multi-dimensional data;
and S204, the big data crawler system puts the analysis result of the related information of the bidding supplier into a business information tracking domain in a database with the bidding supplier as a data name for the multidimensional data after data classification.
As a preferred scheme of the present invention, in S400, the data analysis is performed on the temporary data of the enterprise and business database by using expert rules and a data anomaly analysis algorithm in the big data system for industrial and business credit, which specifically includes the following steps:
s401, constructing expert rules of the bidding supplier information in the bidding event under the balanced auditing mode;
s402, performing full-view data quality inspection on a business object generated by the bidding supplier information in the bidding event from a data information structure, a data information technology, data information processing and data information management, refining data information tracing in a business information tracking domain by adopting a deep learning algorithm, and supplementing and verifying the full-view data quality inspection;
s403, extracting abnormal problems of quality inspection data generated under the quality inspection of the full-view data by using expert rules, and forwarding the abnormal problems to a monitoring and early warning module of the risk early warning model;
s404, repeatedly matching the data abnormal problem under audit obtained according to the expert rules by using a comprehensive fuzzy evaluation method as the basis of data information tracing in the business information tracing domain, and updating the expert rules through enterprise business policy and regulation, legal rules, enterprise business logic and bidding supplier information data collusion relation.
As a preferred aspect of the present invention, in S402, the full-view data quality inspection specifically includes four aspects of missing quality inspection of the provider information data, incorrect quality inspection of the provider information data, inconsistent quality inspection of the provider information data, and association between the provider and the bid information:
missing supplier information data: marking the related bidding information intentionally missing items in the enterprise management service;
incorrect quality inspection of supplier information data: extracting keywords of related bidding information contracts in enterprise management services;
inconsistent quality inspection of supplier information data: comparing the inconsistency of the supplier and the tender unit;
supplier to bid information association: and comparing the relevance of the supplier and other suppliers of the opening mark items.
The invention provides a business and industrial data processing system which comprises an e-commerce platform system for business personnel to access, a business and industrial credit big data system, an external data acquisition website for a big data crawler system built in the business and industrial credit big data system to work, a database for constructing a data quality problem domain and a business and industrial information tracking domain, a data heterogeneous conversion front end and a risk early warning module connected to the e-commerce platform system and the business and industrial credit big data system.
As a preferable scheme of the invention, the big data crawler system comprises a data acquisition module, a data query module, a data classification module and a data output module.
The embodiment of the invention has the following advantages:
the invention establishes flexible and real-time configurable industrial and commercial data capture and inspection, can carry out real-time data inspection according to the standard of legal rules, details the acquisition way of the industrial and commercial data and the relevance inspection of the industrial and commercial data in the bid items, and improves the effective use of the industrial and commercial data in the e-commerce platform;
the method establishes the industrial and commercial data quality evaluation link throughout the bidding process, and the supplier information risk assessment, improves the industrial and commercial data audit and inspection rules of the system, and provides complete industrial and commercial data quality guarantee for the opening and bidding projects of the e-commerce platform system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a flow chart of a business data processing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a business data processing system according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. 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.
As shown in fig. 1, the present invention provides an industrial and commercial data method, which comprises the following specific steps:
s100, carrying out data information division and data information tracing on enterprise business data in an opening process of the E-commerce platform system, and constructing a data quality problem domain and an industrial and commercial information tracing domain in an industrial and commercial credit big data system according to the result of the information division;
s200, performing structured crawling on enterprise business and business operation data by using a passive big data crawler system to form temporary data of an enterprise business database and related data of the enterprise business database, and performing data conversion on the temporary data of the enterprise business database and a business information tracking domain through a heterogeneous data conversion tool;
s300, respectively putting the converted temporary data of the enterprise industrial and commercial database and the related data of the enterprise industrial and commercial database into a data quality problem domain and an industrial and commercial information tracking domain;
and S400, carrying out data analysis on the temporary data of the enterprise and commercial database by utilizing expert rules and a data anomaly analysis algorithm in the industrial and commercial credit big data system, and feeding back a data analysis result and the related data of the enterprise and commercial database in the industrial and commercial information tracking domain to the e-commerce platform system.
The data information division of the enterprise business data in the bidding process of the e-commerce platform system specifically comprises four aspects of data information structure, data information technology, data information processing and data information management, the data quality calibration of the enterprise business data in the four aspects is carried out through data description deviation and data measurement standards, and the change frequency of the data measurement standards and the life cycle of the enterprise business data in the bidding process are used as database log nodes of a data quality problem domain.
The data information tracing is triggered from a data generation flow of enterprise business data, legal rules are added in the data information tracing process to generate a supervision event, a risk early warning model of the enterprise business data is generated according to the legal rules, and the risk early warning model is connected to the e-commerce platform system.
The risk early warning model for generating the enterprise business data according to the legal rules comprises a form information acquisition module for acquiring enterprise business, a detection module for acquiring information of business personnel in the business, a judgment module for judging the legality of the enterprise business according to the legal rules and presetting expected conditions, and a monitoring early warning module for monitoring data packets generated by the form information acquisition module, the detection module and the judgment module, and triggers and starts a risk control process of the e-commerce platform system through the monitoring early warning module.
In S200, the specific steps of performing structured crawling on the enterprise business data by using the passive big data crawler system include:
s201, inputting bid-opening bid supplier information of an enterprise into a big industrial and commercial credit data system by an E-commerce platform system;
s202, the big data system for the industrial and commercial credit calls a big data crawler system to perform multi-dimensional data crawling of the bidding supplier information according to four aspects of data information division and data information source tracing;
s203, the big data crawler system performs data classification and bid provider association information analysis on the crawled multi-dimensional data;
and S204, the big data crawler system puts the analysis result of the related information of the bidding supplier into a business information tracking domain in a database with the bidding supplier as a data name for the multidimensional data after data classification.
The passive big data crawler system in the invention is characterized in that the big data crawler system inputs bid supplier information of an enterprise after bid opening into a big data system for industrial and commercial credit through an electronic commerce platform system to serve as a trigger signal, industrial and commercial data structured crawling is started, and the big data crawler system does not actively perform data crawling so as to ensure the safety of industrial and commercial data and the safety of a database.
In S400, the data analysis of the temporary data in the enterprise business database is performed by using expert rules and a data anomaly analysis algorithm in the big business credit data system, which specifically includes the steps:
s401, constructing expert rules of the bidding supplier information in the bidding event under the balanced auditing mode;
s402, performing full-view data quality inspection on a business object generated by the bidding supplier information in the bidding event from a data information structure, a data information technology, data information processing and data information management, refining data information tracing in a business information tracking domain by adopting a deep learning algorithm, and supplementing and verifying the full-view data quality inspection;
s403, extracting abnormal problems of quality inspection data generated under the quality inspection of the full-view data by using expert rules, and forwarding the abnormal problems to a monitoring and early warning module of the risk early warning model;
s404, repeatedly matching the data abnormal problem under audit obtained according to the expert rules by using a comprehensive fuzzy evaluation method as the basis of data information tracing in the business information tracing domain, and updating the expert rules through enterprise business policy and regulation, legal rules, enterprise business logic and bidding supplier information data collusion relation.
In S402, the full-view data quality inspection specifically includes four aspects of missing quality inspection of the supplier information data, incorrect quality inspection of the supplier information data, inconsistent quality inspection of the supplier information data, and relevance of the supplier and the bid information:
missing supplier information data: marking the related bidding information intentionally missing items in the enterprise management service;
incorrect quality inspection of supplier information data: extracting keywords of related bidding information contracts in enterprise management services;
inconsistent quality inspection of supplier information data: comparing the inconsistency of the supplier and the tender unit;
supplier to bid information association: and comparing the relevance of the supplier and other suppliers of the opening mark items.
The invention provides a business and industrial data processing system which comprises an e-commerce platform system for business personnel to access, a business and industrial credit big data system, an external data acquisition website for a big data crawler system built in the business and industrial credit big data system to work, a database for constructing a data quality problem domain and a business and industrial information tracking domain, a data heterogeneous conversion front end and a risk early warning module connected to the e-commerce platform system and the business and industrial credit big data system.
The big data crawler system comprises a data acquisition module, a data query module, a data classification module and a data output module.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. A business data processing method is characterized by comprising the following specific steps:
s100, carrying out data information division and data information tracing on enterprise business data in an opening process of the E-commerce platform system, and constructing a data quality problem domain and an industrial and commercial information tracing domain in an industrial and commercial credit big data system according to the result of the information division;
s200, performing structured crawling on enterprise business and business operation data by using a passive big data crawler system to form temporary data of an enterprise business database and related data of the enterprise business database, and performing data conversion on the temporary data of the enterprise business database and a business information tracking domain through a heterogeneous data conversion tool;
s300, respectively putting the converted temporary data of the enterprise industrial and commercial database and the related data of the enterprise industrial and commercial database into a data quality problem domain and an industrial and commercial information tracking domain;
and S400, carrying out data analysis on the temporary data of the enterprise and commercial database by utilizing expert rules and a data anomaly analysis algorithm in the industrial and commercial credit big data system, and feeding back a data analysis result and the related data of the enterprise and commercial database in the industrial and commercial information tracking domain to the e-commerce platform system.
2. The business and business data processing method of claim 1, wherein the data information division of the business and business data in an opening process of the e-commerce platform system specifically comprises four aspects of data information structure, data information technology, data information processing and data information management, the quality calibration of the business and business data in the four aspects is performed through data description deviation and data measurement standard, and the change frequency of the data measurement standard and the life cycle of the business and business data in an opening process are used as database log nodes of a data quality problem domain.
3. The industrial and commercial data processing method according to claim 1, wherein the data information tracing is triggered from a data generation process of the enterprise business data, legal rules are added in the data information tracing process, a supervision event is generated, a risk early warning model of the enterprise business data is generated according to the legal rules, and the risk early warning model is connected to the e-commerce platform system.
4. The industrial and commercial data processing method according to claim 3, wherein the risk early warning model for generating the industrial and commercial data according to the legal rules comprises a form information acquisition module for acquiring the business operation of the enterprise, a detection module for acquiring the personnel information of the business operation, a judgment module for judging the legality of the business operation according to the legal rules and presetting the expected conditions, and a monitoring and early warning module for monitoring the data packets generated by the form information acquisition module, the detection module and the judgment module, and the risk control process of the e-commerce platform system is triggered and started through the monitoring and early warning module.
5. The industrial and commercial data processing method according to claim 3, wherein in S200, the step of performing structured crawling on the enterprise business data by using the passive big data crawler system comprises:
s201, inputting bid-opening bid supplier information of an enterprise into a big industrial and commercial credit data system by an E-commerce platform system;
s202, the big data system for the industrial and commercial credit calls a big data crawler system to perform multi-dimensional data crawling of the bidding supplier information according to four aspects of data information division and data information source tracing;
s203, the big data crawler system performs data classification and bid provider association information analysis on the crawled multi-dimensional data;
and S204, the big data crawler system puts the analysis result of the related information of the bidding supplier into a business information tracking domain in a database with the bidding supplier as a data name for the multidimensional data after data classification.
6. The industrial and commercial data processing method according to any one of claims 1 to 5, wherein in S400, the data analysis is performed on the temporary data of the enterprise industrial and commercial database by using expert rules and data anomaly analysis algorithms in the industrial and commercial credit big data system, and the method specifically comprises the following steps:
s401, constructing expert rules of the bidding supplier information in the bidding event under the balanced auditing mode;
s402, performing full-view data quality inspection on a business object generated by the bidding supplier information in the bidding event from a data information structure, a data information technology, data information processing and data information management, refining data information tracing in a business information tracking domain by adopting a deep learning algorithm, and supplementing and verifying the full-view data quality inspection;
s403, extracting abnormal problems of quality inspection data generated under the quality inspection of the full-view data by using expert rules, and forwarding the abnormal problems to a monitoring and early warning module of the risk early warning model;
s404, repeatedly matching the data abnormal problem under audit obtained according to the expert rules by using a comprehensive fuzzy evaluation method as the basis of data information tracing in the business information tracing domain, and updating the expert rules through enterprise business policy and regulation, legal rules, enterprise business logic and bidding supplier information data collusion relation.
7. The industrial and commercial data processing method according to claim 6, wherein the full-view data quality inspection in S402 specifically includes four aspects of missing quality inspection of supplier information data, incorrect quality inspection of supplier information data, inconsistent quality inspection of supplier information data, and association of supplier and bid information:
missing supplier information data: marking the related bidding information intentionally missing items in the enterprise management service;
incorrect quality inspection of supplier information data: extracting keywords of related bidding information contracts in enterprise management services;
inconsistent quality inspection of supplier information data: comparing the inconsistency of the supplier and the tender unit;
supplier to bid information association: and comparing the relevance of the supplier and other suppliers of the opening mark items.
8. The industrial and commercial data processing system is characterized by comprising an e-commerce platform system for business personnel to access, an industrial and commercial credit big data system, an external data acquisition website for a big data crawler system built in the industrial and commercial credit big data system to work, a database for constructing a data quality problem domain and an industrial and commercial information tracking domain, a data heterogeneous conversion front end and a risk early warning module connected to the e-commerce platform system and the industrial and commercial credit big data system.
9. The industrial and commercial data processing system according to claim 8, wherein the big data crawler system comprises a data collection module, a data query module, a data classification module and a data output module.
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