A standardized governance approach based on open data

Through standardized governance methods, identity coding and information database are used, combined with update prediction models and backup databases, the information omission problem caused by changes in enterprise information is solved, real-time update and query of enterprise information is realized, and the standardization and query efficiency of information disclosure is ensured.

CN119046299BActive Publication Date: 2025-01-10SHENZHEN QIANHAI DATA SERVICE CO LTD
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Patent Information

Application Number
CN202411537153.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-31
Publication Date
2025-01-10
Estimated Expiration
2044-10-31

AI Technical Summary

Technical Problem

Changes in corporate business information cause information updates in the database to be untimely updated, and all corporate information cannot be queried in real time, resulting in information omissions and affecting information disclosure and contact.

Method used

Adopt standardized governance methods based on public data, by obtaining basic enterprise information, establishing identity codes and serial numbers, generating enterprise information lists, obtaining operation, communication and intellectual property information, establishing an information database and backup database, using update prediction models and retrieval of Boole Value mechanism to ensure real-time updates and queries of information.

Benefits of technology

Real-time update and query of enterprise information, covering all information, improving the efficiency of information query, ensuring standardized governance of information disclosure, and providing query capabilities for predictive data and historical data.

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Abstract

The present invention belongs to the field of data processing technology, and discloses a standardized governance method based on public data, including the following steps: obtaining basic information of an enterprise, establishing an enterprise identity code, setting a serial number coding method, generating a corresponding sequence table of enterprise information, obtaining other information of the enterprise, establishing an enterprise information base, setting a query page, establishing an update prediction model, expanding the enterprise information base according to the data predicted by the update prediction model, and establishing a retrieval Boolean value mechanism. With the cooperation of the retrieval Boolean value mechanism, the present invention selectively provides the operator with the information data he wants. The present invention also establishes an update prediction model, which can detect the update of the variable information data in the query package, and predicts in the three groups of data in the query package based on the updated data, so that the operator can be inspired by the predicted data while querying the enterprise information, which is more conducive to the public standardized governance of enterprise information.
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Description

Technical Field

[0001] The present invention belongs to the field of data processing technology, and specifically is a standardized governance method based on public data. Background Art

[0002] The relevant information of an enterprise is already public information, but since the operation of an enterprise may change from time to time, the changes may design enterprise information of different time periods, types and natures. This may lead to a problem: the operator cannot query all information about the enterprise through the enterprise information of a certain time period, which brings trouble to the enterprise's disclosure and contact. When the relevant information of an enterprise changes, it often causes the information in the database to be unable to be queried after being updated, resulting in information omissions. Therefore, there is an urgent need for a standardized governance method based on public data that can be updated in real time and can display all the queried enterprise information. Summary of the invention

[0003] The purpose of the present invention is to provide a standardized governance method based on public data to solve the problems raised in the above-mentioned background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a standardized governance method based on public data, comprising the following steps:

[0005] S10. Obtaining basic information of the enterprise, the basic information including the unified social credit code or organization code or registration number identifying the enterprise in the enterprise's publicly disclosed industrial and commercial information;

[0006] S20. Establish an enterprise identity code, encode the number that can identify and reflect the unique identity information of the enterprise in the obtained enterprise basic information, and thus obtain the serial number corresponding to the enterprise;

[0007] S30. Set the serial number encoding method, using a randomly generated prefix code + the number corresponding to the enterprise's unique identity information authentication, that is, the prefix code + unique code;

[0008] S40. Generate a sequence table corresponding to enterprise information, and generate a sequence table corresponding to enterprise information according to the enterprise name, effective time and corresponding serial number;

[0009] S50. Obtain other information of the enterprise, including: business information, communication information, intellectual property information, and encapsulate the other information of the enterprise obtained into a query package;

[0010] S60. Establish an enterprise information database, load the basic information and query package of the enterprise, and correspond the basic information and query package of the enterprise one by one to form a mapped search line;

[0011] S70. Set up a query page. According to the input company name, first generate a serial number according to the name and the aforementioned sequence table, filter out all data of all company names with the same serial number according to the serial number, and display them in a list. When displaying, the effective time of the corresponding data is also displayed;

[0012] S80. Establish an update prediction model to detect the real-time update of other information of the enterprise in the query package, and make an update prediction of other information of the enterprise based on the detected update;

[0013] S90. Expand the enterprise information base according to the data predicted by the updated prediction model, and establish a backup database for storing the historical information data that is updated and replaced, and connect the data with the search line;

[0014] S100. Establish a retrieval Boolean value mechanism. When the enterprise information query using the enterprise name fails to retrieve the desired information, the backup database retrieval line is triggered and all historical information data of the enterprise in the backup database is displayed.

[0015] As a preferred solution of the present invention, the basic information of the enterprise is a number that reflects or identifies the unique identity information of the enterprise, and the number does not change with the change of the enterprise.

[0016] As a preferred solution of the present invention, the business information, communication information and intellectual property information are changeable information;

[0017] The business information includes: the status of the enterprise's opening, closing, and liquidation, the amount of capital subscribed and paid by the shareholders or promoters of a limited liability company or a joint stock company, the time of capital contribution, the method of capital contribution, the equity change information of the equity transfer of shareholders of a limited liability company, the number of employees of the enterprise, the total assets, the total liabilities, the guarantees provided to external parties, the total owner's equity, the total operating income, the main business income, the total profit, the net profit, and the total tax paid;

[0018] The communication information includes: the company's mailing address, postal code, contact number, email address, company website, and the name and URL of the online store engaged in online business;

[0019] The intellectual property information includes: relevant patent documents and technical papers and publications applied for by the enterprise.

[0020] As a preferred solution of the present invention, the search line consists of the company name, sequence table and information data in the query package located on the query page, and the search line also includes historical information data located in the backup database, which is independent of the query package and directly mapped to the sequence table.

[0021] As a preferred solution of the present invention, the updating prediction model includes:

[0022] Information acquisition module: Periodically or during the off-peak period of information query, it loops through the data in the query package to obtain updated data;

[0023] Memory storage module: records the generated update data and sends it to the neural network engine;

[0024] Neural network engine: receives updated data records from the memory storage module and predicts other information that may change based on a pre-designed algorithm;

[0025] Prediction output terminal: outputs the predicted information.

[0026] As a preferred solution of the present invention, the backup database is usually in a dormant state and does not occupy the server bandwidth. It is automatically mapped and connected with the sequence table only when the information in the query package is updated or the retrieval Boolean value mechanism is triggered.

[0027] As a preferred solution of the present invention, the retrieval Boolean value mechanism is called once each time an enterprise information query is performed. It is used to detect whether to trigger the retrieval Boolean value mechanism after the target information of the enterprise is retrieved after one query, and then pop up an option button to give the operator timely feedback.

[0028] The beneficial effects of the present invention are as follows:

[0029] The present invention adopts a method of encoding the identity of the enterprise to include all its information in the query package, which is convenient for the operator to query. By comparing the enterprise information with the corresponding sequence table by belonging to a specific enterprise name, all the information of the target enterprise is displayed. The query package contains the enterprise operation information, enterprise communication information and enterprise intellectual property information, which is sufficient to cover all the information of the enterprise. At the same time, a backup database is set in the database. Every time the enterprise information is updated, the replaced historical data is poured into the backup database and stored. The search line is set to be directly connected to the sequence table. With the cooperation of the retrieval Boolean value mechanism, the information data desired by the operator is selectively provided. The present invention also establishes an update prediction model, which can detect the update of the variable information data in the query package, and make predictions in the three groups of data in the query package based on the updated data, so that the operator can be inspired by the predicted data while querying the enterprise information, which is more conducive to the public standardization management of enterprise information. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the process of the treatment method of the present invention. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0032] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0033] like Figure 1 As shown, an embodiment of the present invention provides a standardized governance method based on public data, comprising the following steps:

[0034] S10. Obtain the basic information of the enterprise, which includes the unified social credit code or organization code or registration number that identifies the enterprise in the public industrial and commercial information of the enterprise; the basic information of the enterprise is the number that reflects or identifies the unique identity information of the enterprise, and the number does not change with the change of the enterprise unless the enterprise goes bankrupt and liquidates. The above three numbers can all be used as displacement codes to represent the identity information of the enterprise, and combining them with the randomly generated prefix code is an effective coding method;

[0035] S20. Establish an enterprise identity code, encode the number that can identify and reflect the unique identity information of the enterprise in the obtained enterprise basic information, and thus obtain the serial number corresponding to the enterprise;

[0036] S30. Set the serial number encoding method, using a randomly generated prefix code + the number corresponding to the enterprise's unique identity information authentication, that is, the prefix code + unique code;

[0037] S40. Generate a sequence table corresponding to enterprise information, and generate a sequence table corresponding to enterprise information according to the enterprise name, effective time and corresponding serial number;

[0038] S50. Obtain other information of the enterprise, including: business information, communication information, intellectual property information, and encapsulate the obtained other information of the enterprise into a query package;

[0039] The query package consists of three groups of information: business information, communication information, and intellectual property information, and is encapsulated. However, these three groups of information are not completely independent. For example, if the relevant patents in the intellectual property information are updated, the business information can be targeted for prediction. According to the relevant patent documents, the relevant changes in the business information can be understood, and the business information can be predicted. After the updated prediction model is processed and the relevant information is output to the backup database, when the business information is updated, the historical information data generated by the update is convenient for entering the prediction data in the backup database for comparison and correction again and again, which not only improves the efficiency of enterprise information query, extends the query timeline, and enables enterprise operations to be inspired by forward-looking information, but also does not affect the current enterprise information.

[0040] S60. Establish an enterprise information database, load the basic information and query package of the enterprise, and correspond the basic information and query package of the enterprise one by one to form a mapped search line;

[0041] The retrieval line consists of the main line enterprise name-sequence list-query package and the branch line enterprise name-sequence list-backup database. The purpose of setting up the branch line is to save the historical information data that is replaced after the query package is updated. The historical information data can facilitate uninformed operators to use previous key information to query enterprise information, thereby improving the query efficiency of enterprise information and filling in the gaps in the query work. In addition, the prediction data output by the updated prediction model will also be imported into the backup database and compared with the historical updated information data in it to correct the accuracy of the updated prediction model time and time again.

[0042] S70. Set up a query page. According to the input company name, first generate a serial number according to the name and the aforementioned sequence table, filter out all data of all company names with the same serial number according to the serial number, and display them in a list. When displaying, the effective time of the corresponding data is also displayed; this effective time is the effective time of the corresponding company name;

[0043] S80. Establish an update prediction model to detect the real-time update of other information of the enterprise in the query package, and make an update prediction of other information of the enterprise based on the detected update;

[0044] S90. Expand the enterprise information base according to the data predicted by the updated prediction model, and establish a backup database for storing the historical information data that is updated and replaced, and connect the data with the search line;

[0045] S100. Establish a retrieval Boolean value mechanism. When the enterprise information query using the enterprise name fails to retrieve the desired information, the backup database retrieval line is triggered and all historical information data of the enterprise in the backup database is displayed.

[0046] In one embodiment, business information, communication information, and intellectual property information are changeable information;

[0047] Business information includes: information on the status of an enterprise’s opening, closing, or liquidation, the amount of capital subscribed and paid by shareholders or promoters of a limited liability company or a joint stock company, the time of capital contribution, the method of capital contribution, equity change information on equity transfers by shareholders of a limited liability company, the number of employees in the enterprise, total assets, total liabilities, guarantees provided to external parties, total owner’s equity, total operating income, main business income, total profit, net profit, and total tax paid;

[0048] Communication information includes: corporate mailing address, postal code, contact number, email address, corporate website, and the name and URL of the online store engaged in online business;

[0049] Intellectual property information includes: relevant patent documents and technical papers and publications applied for by the enterprise.

[0050] In one embodiment, the search line is composed of the enterprise name, sequence table and information data in the query package located on the query page. The search line also includes historical information data located in the backup database, which is independent of the query package and directly mapped with the sequence table. The retrieval Boolean value mechanism is called once for each enterprise information query, and is used to detect whether the target information of the enterprise is retrieved after one query, and then pop up an option button for triggering the retrieval Boolean value mechanism to give timely feedback to the operator. The backup database is usually in a dormant state and does not occupy the server bandwidth. It is automatically mapped and connected with the sequence table only when the information in the query package is updated or the retrieval Boolean value mechanism is triggered;

[0051] During the regular enterprise information query process, the backup database is not activated, so it does not occupy the server bandwidth, which is conducive to solving network resources. The retrieval Boolean value mechanism will ask whether the desired data is found after each query, thereby providing timely feedback and interaction with the operator.

[0052] In one embodiment, updating the prediction model includes:

[0053] Information acquisition module: Periodically or during the off-peak period of information query, it loops through the data in the query package to obtain updated data;

[0054] Memory storage module: records the generated update data and sends it to the neural network engine;

[0055] Neural network engine: receives updated data records from the memory storage module and predicts other information that may change based on a pre-designed algorithm;

[0056] Prediction output terminal: outputs the predicted information.

[0057] The basic function of the update prediction model is to detect the real-time update of the data in the query package and pour the updated data into the backup database. The trained neural network engine is used to analyze the impact of the updated data changes on other data in the query package, and the predicted data is stored in the backup database to compare it with the later updated data, which can also play a role in gradual correction:

[0058] In actual operations, the business information, communication information and intellectual property information of an enterprise are distributed vertically and do not interfere with each other at ordinary times, including when the data is updated. However, once a set of data is updated or replaced, it will inevitably cause other related data to change. For example, the update of patent documents indicates that the enterprise intends to focus on the field where the patent is located, and the changes it brings are changes in business information. If the decision makers of the enterprise forget to update and change the corresponding business information, the update prediction model will provide a warning function.

[0059] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0060] Furthermore, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A standardized governance method based on public data, characterized by: The following steps are involved: S10. Obtaining basic information of the enterprise, the basic information including the unified social credit code or organization code or registration number identifying the enterprise in the enterprise's publicly disclosed industrial and commercial information; S20. Establish an enterprise identity code, encode the number that can identify and reflect the unique identity information of the enterprise in the obtained enterprise basic information, and thus obtain the serial number corresponding to the enterprise; S30. Set the serial number encoding method, using a randomly generated prefix code + the number corresponding to the enterprise's unique identity information authentication, that is, the prefix code + unique code; S40. Generate a sequence table corresponding to enterprise information, and generate a sequence table corresponding to enterprise information according to the enterprise name, effective time and corresponding serial number; S50. Obtain other information of the enterprise, including: business information, communication information, intellectual property information, and encapsulate the other information of the enterprise obtained into a query package; S60. Establish an enterprise information database, load the basic information and query package of the enterprise, and correspond the basic information and query package of the enterprise one by one to form a mapped search line; S70. Set up a query page. According to the input company name, first generate a serial number according to the name and the aforementioned sequence table, filter out all data of all company names with the same serial number according to the serial number, and display them in a list. When displaying, the effective time of the corresponding data is also displayed; S80. Establish an update prediction model to detect the real-time update of other information of the enterprise in the query package, and make an update prediction of other information of the enterprise based on the detected update; S90. Expand the enterprise information base according to the data predicted by the updated prediction model, and establish a backup database for storing the historical information data that is updated and replaced, and connect the data with the search line; S100. Establish a retrieval Boolean value mechanism. When the enterprise information query does not retrieve the desired information using the enterprise name, the backup database retrieval line is triggered and all historical information data of the enterprise in the backup database is displayed; The search line is composed of the enterprise name, sequence table and information data in the query package located on the query page, and the search line also includes historical information data located in the backup database, which is independent of the query package and directly mapped to the sequence table; The updating prediction model comprises: Information acquisition module: Periodically or during the off-peak period of information query, it loops through the data in the query package to obtain updated data; Memory storage module: records the generated update data and sends it to the neural network engine; Neural network engine: receives updated data records from the memory storage module and predicts other information that may change based on a pre-designed algorithm; Prediction output terminal: output the predicted information; The retrieval Boolean value mechanism is called once each time the enterprise information is queried. It is used to detect whether the target information of the enterprise is retrieved after a query, and then pop up an option button to trigger the retrieval Boolean value mechanism to give the operator timely feedback.

2. A standardized governance method based on public data according to claim 1, characterized in that: The basic information of the enterprise is a number that reflects or identifies the unique identity information of the enterprise, and this number does not change with the change of the enterprise.

3. A standardized governance method based on public data according to claim 2, characterized in that: The business information, communication information and intellectual property information are changeable information; The business information includes: the status of the enterprise's opening, closing, and liquidation, the amount of capital subscribed and paid by the shareholders or promoters of a limited liability company or a joint stock company, the time of capital contribution, the method of capital contribution, the equity change information of the equity transfer of shareholders of a limited liability company, the number of employees of the enterprise, the total assets, the total liabilities, the guarantees provided to external parties, the total owner's equity, the total operating income, the main business income, the total profit, the net profit, and the total tax paid; The communication information includes: the company's mailing address, postal code, contact number, email address, company website, and the name and URL of the online store engaged in online business; The intellectual property information includes: relevant patent documents and technical papers and publications applied for by the enterprise.

4. A standardized governance method based on public data according to claim 3, characterized in that: The backup database is usually in a dormant state and does not occupy the server bandwidth. It is automatically mapped and connected with the sequence table only when the information in the query package is updated or the retrieval Boolean value mechanism is triggered.

Citation Information

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