Public data processing system

Abstract

The invention discloses a public data processing system which comprises a data demand side, an interface platform, a data processing platform, a government affair big data sharing platform and a government affair big data acquisition platform. The client sends authorization information, the user demand side receives the authorization information and generates an authorization code according to the authorization information, the interface platform receives the verification code after receiving the authorization information, verifies the authorization code according to the authorization information, and initiates a service processing request after verifying that the authorization code is correct. And the data processing platform initiates a data calling request according to the service processing request. And the government affair big data sharing platform calls data according to the data calling request and sends the called data to the data processing platform. And the data processing platform performs first processing on the data sent by the government affair big data sharing platform and then outputs the data to the interface platform. And the interface platform carries out secondary processing on the data sent by the data processing platform and then sends the data to the data demand side. The acquisition platform obtains data information in a point burying mode and generates and stores point burying monitoring logs, so that tracing in the future is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a public data processing system. Background Art

[0002] In the era of big data, the phased and technical nature of data collection, as well as the inherent characteristics of different data types, have led to the accumulation of large amounts of data from diverse sources and of varying quality. For example, the government big data sharing platform aggregates vast amounts of data generated by subordinate application systems and website operations, centrally analyzing this data and providing comprehensive support to various departments, including decision-making assistance, statistical analysis, and business management.

[0003] However, since government-related data involves privacy and security and is sensitive information, the full disclosure of data information cannot ensure the security of data use. If the disclosure is insufficient, the data cannot be fully utilized, and the entire link process of the data cannot be tracked and recorded, and the compliance of the data during use cannot be ensured. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, a public data processing system is provided.

[0005] To achieve the above object, the present invention provides a public data processing system, comprising a client, which is used to send authorization information; The data requester receives the authorization information, generates the authorization code based on the authorization information, and initiates the data request; The interface platform is used to receive authorization information; after receiving the authorization information, the interface platform receives the authorization code and verifies the authorization code according to the authorization information. If the authorization code is verified correctly, the interface platform initiates a business processing request; if the authorization code verification fails, the interface platform terminates the data request from the user; The data processing platform is used to receive business processing requests and initiate data call requests based on the business processing requests; The government big data sharing platform is used to receive data call requests from the data processing platform, call data according to the data call requests, and then send the called data to the data processing platform; the data processing platform receives the data sent by the government big data sharing platform, and performs initial processing on the data sent by the government big data sharing platform. After the data processing platform completes the initial processing of the data, it sends the data that has completed the initial processing to the interface platform; the interface platform receives the data sent by the data processing platform, and performs secondary processing on the data sent by the data processing platform, and then sends the data that has completed the secondary processing to the data user; The collection platform is used to set up tracking points between the data demander and the interface platform, between the interface platform and the data processing platform, and between the data processing platform and the government big data sharing platform; when the government big data sharing platform sends the called data to the data processing platform, when the data processing platform sends the data completed for the first processing to the interface platform, and when the interface platform sends the data completed for the second processing to the data demander, the collection platform collects data information through the tracking points and generates tracking point monitoring logs, and then saves the tracking point monitoring logs.

[0006] According to one embodiment of the present invention, the data processing platform includes multiple analysis modules, each analysis module includes a response unit, a cleaning unit, an analysis unit, an integration unit and a desensitizing unit; the response module is used to receive business processing requests and initiate a data call request to the government big data sharing platform according to the business processing request; the cleaning unit, the analysis unit, the integration unit and the desensitizing unit are used to perform initial processing on the data sent by the government big data sharing platform; the cleaning unit is used to receive data sent by the government big data sharing platform and clean the data; the analysis unit is used to receive data output by the cleaning unit and analyze and process the data; the integration unit is used to receive data output by the analysis unit and integrate the data; the desensitizing unit is used to receive data output by the integration unit and desensitize the data.

[0007] According to one embodiment of the present invention, the interface platform, the data processing platform and the government big data sharing platform are respectively provided with an encryption module; when the government big data sharing platform receives a data call request proposed by the data processing platform, the government big data sharing platform calls the data according to the data call request, and encrypts the called data through the encryption module, and then sends the encrypted data to the data processing platform; the data processing platform receives the data sent by the government big data sharing platform, and performs a first processing on the data sent by the government big data sharing platform, and then encrypts the data that has completed the secondary processing through the encryption module, and sends the encrypted data to the interface platform; the interface platform receives the data sent by the data processing platform, and performs a second processing on the data sent by the data processing platform, and then encrypts the data that has completed the secondary processing through the encryption module, and sends the encrypted data to the data user.

[0008] According to one embodiment of the present invention, the encryption process uses a national secret algorithm to encrypt data.

[0009] According to one embodiment of the present invention, the interface platform includes an interface module, which includes multiple interfaces, each interface corresponding to a user and an analysis module. The interface is used to receive authorization information and then receive an authorization code. The interface verifies the authorization code based on the authorization information. If the authorization code is correct, the interface initiates a business processing request to the response unit of the analysis module corresponding to it; if the authorization code verification fails, the interface terminates the data request of the user; the interface is used to receive data sent by the data processing platform, and then send the data sent by the data processing platform to the user.

[0010] According to one embodiment of the present invention, the interface platform further includes a display module, which is used to receive data output by the interface and realize data visualization for the data output by the interface.

[0011] According to one embodiment of the present invention, the data transmission process in which the government big data sharing platform sends the called data to the data processing platform, the data transmission process in which the data processing platform sends the data that has completed the first processing to the interface platform, and the data transmission process in which the interface platform sends the data that has completed the second processing to the data demander adopts any one of the HTTPS protocol, dedicated technology tunnel access and IP whitelist methods to encrypt the data transmission process.

[0012] According to one embodiment of the present invention, the data sent by the government data sharing platform is processed in a desensitizing manner for the first time.

[0013] The beneficial effect of the present invention is that, through the mutual cooperation of the client, the user, the interface platform, the data processing platform and the government big data sharing platform, the client sends authorization information, the user receives the authorization information and generates an authorization code based on the authorization information, the interface platform receives the verification code after receiving the authorization information, and verifies the authorization code based on the authorization information, and initiates a business processing request after verifying that the authorization code is correct. The data processing platform initiates a data call request based on the business processing request. The government big data sharing platform calls data based on the data call request and sends the called data to the data processing platform. The data processing platform performs the first processing on the data sent by the government big data sharing platform and outputs it to the interface platform. The interface platform performs the second processing on the data sent by the data processing platform and sends the data that has completed the second processing to the user. At the same time, the collection platform obtains data information through the burying point method and generates a burying point monitoring log, and then stores the burying point monitoring log, so as to facilitate the data tracing by retrieving the burying point monitoring log in the future, so as to realize the full-link monitoring and tracking of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 This is a schematic diagram of the framework of the public data processing system in Example 1; Figure 2 is a schematic diagram of the analysis module in Example 1; Figure 3 This is a block diagram of the public data processing system in Example 2.

[0015] Description of Reference Numerals 1-Client; 2-Data user; 3-Interface platform; 4-Data processing platform; 5-Government big data sharing platform; 6-Collection platform; 10-Encryption module; 31-Interface module; 32-Display module; 41-Analysis module; 311-Interface; 410-Response unit; 411-Cleaning unit; 412-Analysis unit; 413-Integration unit; 414-Desensitization unit. DETAILED DESCRIPTION

[0016] The following diagrams illustrate various embodiments of the present invention. For clarity, many practical details are included in the following description. However, it should be understood that these practical details are not intended to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not essential. Furthermore, to simplify the drawings, some commonly used structures and components are depicted in simplified schematic form.

[0017] In addition, in the present invention, descriptions such as "first" and "second" are only used for descriptive purposes and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0018] Example 1 This embodiment provides a public data processing system that can be used to securely access data information from the government big data sharing platform. The government big data sharing platform aims to promote the openness and sharing of government data and facilitate the optimized allocation and utilization of data resources. It integrates data resources from government departments at all levels, covering data from various fields such as government, economy, and society. To achieve cross-departmental and cross-network data sharing and application, the government information resource sharing and exchange platform collaborates with big data companies to process and publicly release data, ensuring the availability of public data while protecting sensitive information and enabling full tracking of the data processing process.

[0019] Please refer to Figure 1-Figure 2 , Figure 1 This is a schematic diagram of the framework of the public data processing system. Figure 2 The public data processing system provided in this embodiment includes a client 1, a data demander 2, an interface platform 3, a data processing platform 4, a government big data sharing platform 5, and a collection platform 6.

[0020] Specifically, client 1 is used to send authorization information. In actual application scenarios, the authorizer logs in to client 1 and submits personal authorization to client 1. After receiving the authorization from the authorizer, client 1 sends the authorization information to user 2 and interface platform 3.

[0021] Data requester 2 receives authorization information from client 1, generates a unique authorization code based on the authorization information, and initiates a data request. The authorization code is used to verify user authorization to ensure the safe use of personal information.

[0022] Interface platform 3 is used to receive authorization information from client 1. After receiving the authorization information, interface platform 3 receives an authorization code from data requester 2 and verifies the authorization code based on the authorization information. If the authorization code is verified correctly, interface platform 3 initiates a service processing request. If the verification code fails, interface platform 3 terminates the data request initiated by data requester 2 to ensure the compliance of the data request.

[0023] The data processing platform 4 is used to receive the business processing request sent from the interface platform 3, and initiate a data call request according to the business processing request.

[0024] The government big data sharing platform 5 is used to receive data call requests from the data processing platform 4. When the government big data sharing platform 5 receives a data call request from the data processing platform 4, it calls upon its own stored data based on the data call request and then sends the called data to the data processing platform 4. The data processing platform 4 receives the data sent from the government big data sharing platform 5, performs initial processing on the data, and then sends the processed data to the interface platform 3. The interface platform 3 receives the data sent by the data processing platform 4 and performs secondary processing on the data. It should be noted that the secondary processing uses a desensitizing method to process the data. After desensitizing the data, the interface platform 3 sends the data to the data user 2. In this way, the data user 2 obtains the required data. It is important to note that because the government big data sharing platform 5 is authorized by the data source department, it can access real-time updated data resources from government departments at all levels. This allows the public data system to obtain the latest data information, thereby improving the accuracy and efficiency of the decision-making of the data user 2.

[0025] In addition, the collection platform 6 is used to set up tracking points between the user 2 and the interface platform 3, between the interface platform 3 and the data processing platform 4, and between the data processing platform 4 and the government data sharing platform. During the data call process, the tracking points are used to record the data information and generate the tracking point monitoring log. Specifically, when the government big data sharing platform 5 sends the called data to the data processing platform 4, the tracking points set between the government big data sharing platform 5 and the data processing platform 4 collect the data information of the data sent by the government big data sharing platform, and generate the tracking point monitoring log based on the collected data information, and store the tracking point monitoring log in the collection platform 6. When the data processing platform 4 sends the data that has completed the first processing to the interface platform, the tracking points between the data processing platform 4 and the interface platform 3 collect the data information of the data sent by the data processing platform 4, and generate the tracking point monitoring log, and then save the tracking point monitoring log. When the interface platform sends the data that has completed the secondary processing to the user, the tracking points between the interface platform 3 and the user 2 collect the data information of the data sent by the interface platform, and generate the tracking point monitoring log based on the collected data information, and then store the tracking point monitoring log. Tracking data points generates and stores tracking logs to record data conversion status and flow, making it easy to retrieve tracking logs at any time for data tracing and analysis. When data needs to be queried, tracking log data can be retrieved to obtain data conversion status information. This enables full-link data monitoring and tracking to prevent data misuse.

[0026] Furthermore, the data processing platform 4 includes multiple analysis modules 41. Each analysis module 41 is set up according to the needs of different data demanders 2. During actual use, the government big data sharing platform 5 will call the data input analysis module 41, the analysis module 41 processes the data, and outputs data in a corresponding format according to the needs of the data demander 22. In actual application scenarios, since the public data processing system serves multiple data demanders 2, such as major banks, insurance companies, financing guarantees, etc., the data and formats required by different data demanders 2 are different. In this way, by setting up multiple analysis modules 41, each analysis module 41 is set up with processing rules according to a pair of data demanders 2. When in use, the analysis module 41 outputs the corresponding data format according to the requirements of the corresponding data demander 2. In this way, the public data processing system can meet the different needs of the data demanders 2. It has high scalability and flexibility and can be customized according to different application scenarios.

[0027] Specifically, each analysis module 41 includes a response unit 410, a cleaning unit 411, an analysis unit 412, an integration unit 413, and a desensitizing unit 414. The response unit 410 is used to receive data requests from the interface platform 3 and, based on the business processing request, send a data call request to the government big data sharing platform 5. The cleaning unit 411, analysis unit 412, integration unit 413, and desensitizing unit 414 are used to perform initial processing on the data sent by the government big data sharing platform 5. Specifically, when the government big data sharing platform 5 receives a data call request from the response unit 410, it calls upon its own stored data based on the call request and then sends the called data to the data processing platform 4. The cleaning unit 411 of the corresponding analysis module 41 of the data processing platform 4 is used to receive data sent from the government big data sharing platform and clean it. Because data may contain duplication, errors, or missing values, data cleaning is required. This step includes removing duplicate data, correcting erroneous data, and filling in missing values. This removes noise from the data, ensuring its accuracy and integrity, and improving its quality. Analysis unit 412 receives the data output by cleaning unit 411 and then analyzes and processes the data. During the analysis process, data in different formats is converted into a unified format based on the needs of data user 2. Integration unit 413 receives the data output by analysis unit 412 and integrates it, packaging the analyzed and processed data for output. Desensitization unit 414 receives the data output by integration unit 413 and performs desensitization on the data. Desensitization involves converting the original data values ​​into obfuscated data. Desensitization can be performed using "data masking" or "data camouflage" methods to protect personal privacy and the security of sensitive information. After desensitization, sensitive characters in the original data are replaced with pre-set codes or numbers. For example, the position "supervisor" is replaced with the code "408A." Desensitization ensures the security of sensitive personal information by concealing the actual original data content and ensuring that the original data remains within the domain. At the same time, certain information is retained, reducing the risk of leaking specific information. The data also provides a certain degree of reference value, allowing it to remain usable to a certain extent. In this way, the data sent by the government big data sharing platform 5 is processed for the first time through the cleaning unit 411, the analysis unit 412, the integration unit 413 and the desensitizing unit 414 in sequence.

[0028] Furthermore, each analysis unit 412 contains multiple handler classes, each capable of processing a specific type of data metric. The cleaning unit 411 outputs data to the analysis unit 412. Once the data enters the analysis unit 412, it passes through each handler class in sequence. After a handler class completes processing the data, it passes it to the next handler class, and so on until all handler classes have completed processing. Furthermore, the handler classes in each analysis model 421 are configured based on the needs of the user 2, and the handler classes in each analysis model 421 may be the same or different. For example, in the first analysis model, the output format of the handler class for providing housing fund levels is A / B / C / D / E, while in the second analysis model, the output format of the handler class for providing housing fund levels is 1 / 2 / 3 / 4 / 5. Thus, by configuring the handler classes in the analysis model 421 according to the needs of the user 2, the different requirements of the user 2 can be met.

[0029] The interface platform 3 also includes an interface module 31, which includes multiple interfaces 311. Each interface 311 corresponds to a user 2 and an analysis module 41. Interface 311 is used to receive authorization information and then an authorization code. When a corresponding user 2 issues a data request, interface 311 verifies the authorization code based on the authorization information. If the authorization code is correct, interface 311 initiates a service processing request to the response unit 410 of the corresponding analysis module 41. If the authorization code verification fails, interface 311 blocks the data request from the corresponding user 2. Interface 311 also allows for model configuration and rule parameter adjustment for the corresponding analysis module 41. Each interface 311 is connected to a corresponding user 2. When the data processing platform 4 sends data after secondary processing to the interface platform 3, interface 311 receives the data sent by the data processing platform 4 and then forwards it to the corresponding user 2.

[0030] In addition, the interface platform 3, data processing platform 4, and government big data sharing platform 5 are each equipped with an encryption module 10, which is used to encrypt data. Specifically, after receiving a call request from the data processing platform 4, the government big data sharing platform 5 calls its own stored data according to the data call request, encrypts the called data through the encryption module 10, and then sends the encrypted data to the data processing platform 4. The data processing platform 4 receives the data from the government big data sharing platform 5 and processes it for the first time. It then encrypts the processed data through the encryption module 10 and sends the encrypted data to the interface platform 3. The interface platform 3 receives the data sent by the data processing platform 4, desensitizes the data sent by the data processing platform, and then encrypts the desensitized data through the encryption module 10. It then sends the encrypted data to the data user 2. The encrypted data becomes unreadable to prevent the data from being intercepted and leaked during transmission. In this example, national secret algorithms such as SM2, SM3, and SM4 are used to encrypt the data, and the ciphertext content of each transmission is encrypted together with the request serial number and the response serial number to ensure that the ciphertext results of each encryption are different, making the original data unreadable. Only the authorized user 2 can decrypt and obtain the original data before encryption, further improving the confidentiality of the data transmission process.

[0031] Furthermore, the government big data sharing platform will send the called data to the data processing platform during the data transmission process, the data processing platform will send the data completed for the first processing to the interface platform during the data transmission process, and the interface platform will send the data completed for the second processing to the data demander during the data transmission process. Any one of the HTTPS protocol, dedicated technology tunnel access and IP whitelist methods will be used to encrypt the data transmission process, further improving the security of data use.

[0032] Specifically, in actual application, the data transmission between the interface platform 3 and the data demander 2 is encrypted using the IP whitelist method, and the data transmission between the interface platform 3 and the data processing platform 4 is encrypted using the HTTPS protocol and a dedicated technical tunnel access method.

[0033] In addition, the interface platform 3 also includes a display module 32, which is used to receive data output by the interface 311 and convert the data output by the interface 311 into visual indicator data. In one embodiment, the display module 32 is equipped with a graphics library, such as D3.js, which is used to convert the data into a tabular format for output.

[0034] Example 2 The public data processing system described in Example 1 can be applied to inclusive finance products. Inclusive finance is a product that connects individuals and businesses based on a public data processing system. It provides financial institutions (data demander 2) with information about the connections between individuals and businesses. Based on individual authorization, inclusive finance processes lists of companies in which individuals have invested, as well as lists of companies in which they hold senior management positions. Ultimately, it outputs the data required by financial institutions and in compliance with regulatory requirements, assisting them in risk assessment and decision-making.

[0035] Please refer to Figure 3 , Figure 3The following is a block diagram of the public data processing system in this embodiment. Inclusive Finance includes data demanders, an interface platform, the Huijiuzhang platform, and a government information resource sharing and exchange platform. The data demanders, interface platform, Huijiuzhang platform, government information resource sharing platform, and collection layer in Inclusive Finance correspond to the data demanders 2, interface platform 3, data processing platform 4, government big data sharing platform 5, and collection platform 6 in Example 1, respectively. In actual use, the authorizer submits authorization materials to the Inclusive Finance client, which then sends authorization information to the data demander and the interface platform. The data demander receives the authorization information, generates an authorization code based on the authorization information, and initiates a data request to the interface platform. The interface platform then receives the authorization code and verifies it based on the authorization information. If the verification code is correct, the interface platform initiates a business processing request to the Huijiuzhang platform; if the verification code is incorrect, the interface platform blocks the data demander's data request. After receiving the business processing request, the Huijiuzhang platform initiates a data call request to the government information resource sharing platform based on the business processing request. After receiving a data request from the Huijiuzhang platform, the Government Information Resource Sharing Platform retrieves data based on the request and sends it to the Huijiuzhang platform. Simultaneously, the collection layer, located between the Government Information Resource Sharing Platform and the Huijiuzhang platform, collects data sent by the Government Information Resource Sharing Platform and generates and stores a data collection monitoring log. The Huijiuzhang platform receives data from the Government Information Resource Sharing Platform, performs primary processing on the data, and then sends the processed data to the interface platform. The collection layer, located between the Huijiuzhang platform and the interface platform, collects data sent by the Huijiuzhang platform, generates a data collection monitoring log based on the data, and stores the data collection monitoring log. The interface platform receives data sent by the Huijiuzhang platform, performs secondary processing on the data, and then sends the processed data to the data user. The collection layer, located between the interface platform and the data user, collects data sent by the interface platform, generates a data collection monitoring log based on the data sent by the interface platform, and then stores the data collection monitoring log. In this way, a series of data processing can be achieved through inclusive finance, and ultimately data information that meets regulatory requirements can be output to financial institutions, achieving the requirement that "the original data does not leave the domain, only the encrypted calculation results leave the domain."

[0036] Inclusive finance also has the following application scenarios: By using Inclusive Finance to obtain authorized personal data from users and analyzing the lists of other companies in which the authorized user has invested and the companies in which he or she holds senior management positions, financial institutions can gain a deeper understanding of the individual's investment profile and role in other companies. This process helps assess the degree of connection between individuals and companies, revealing potential conflicts of interest or risks, and providing a strong basis for risk management and decision-making.

[0037] By using inclusive finance to obtain authorized personal data from users and understand their investments and executive positions in other companies, financial institutions can more comprehensively assess their experience, professional capabilities, and industry influence. This provides valuable insights for decision-making, partner selection, and commercial collaboration, helping to improve the accuracy and reliability of decisions.

[0038] By adopting inclusive finance to obtain users' personal data after authorization and monitoring the relationship between authorized users and enterprises, financial institutions can promptly detect possible fraud or improper related transactions, thereby reducing the risk of financial fraud.

[0039] To summarize, through the collaboration between client 1, data user 2, interface platform 3, data processing platform 4, and government big data sharing platform 5, client 1 sends authorization information, data user 2 receives the authorization information and generates an authorization code based on the authorization information, interface platform 3 receives the verification code after receiving the authorization information, verifies the authorization code based on the authorization information, and initiates a business processing request after verifying the authorization code. Data processing platform 4 initiates a data call request based on the business processing request. Government big data sharing platform 5 calls data based on the data call request and sends the called data to data processing platform 4. Data processing platform 4 performs initial processing on the data sent by government big data sharing platform 5 and outputs it to interface platform 3. Interface platform 3 performs secondary processing on the data sent by data processing platform 4 and sends the processed data to data user 2. In this way, the effect of "original data does not leave the domain, only the encrypted calculation results leave the domain" is achieved, ensuring the protection of private data. At the same time, the collection platform 6 obtains data information through the point-of-sale method and generates a point-of-sale monitoring log, and then stores the point-of-sale monitoring log to facilitate tracing the data by retrieving the point-of-sale monitoring log in the future, so as to realize full-link monitoring and tracking of the data.

[0040] The foregoing is merely an embodiment of the present invention and is not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

Claims

1. A public data processing system, characterized in that include: Client (1), which is used to send authorization information; The data requester (2) receives the authorization information, generates an authorization code based on the authorization information, and initiates a data request; The interface platform (3) is used to receive authorization information; after receiving the authorization information, the interface platform (3) receives an authorization code and verifies the authorization code according to the authorization information. If the authorization code is verified correctly, the interface platform (3) initiates a business processing request; if the authorization code verification fails, the interface platform (3) terminates the data request from the data requester (2); A data processing platform (4), which is used to receive business processing requests and initiate data call requests according to the business processing requests; The government big data sharing platform (5) is used to receive the data call request raised by the data processing platform (4), call data according to the data call request, and then send the called data to the data processing platform (4); the data processing platform (4) receives the data sent by the government big data sharing platform (5), and performs a first processing on the data sent by the government big data sharing platform (5); after the data processing platform (4) completes the first processing of the data, it sends the data that has completed the first processing to the interface platform (3); the interface platform (3) receives the data sent by the data processing platform (4), and performs a second processing on the data sent by the data processing platform (4), and then sends the data that has completed the second processing to the data user (2); The collection platform (6) is used to respectively set up tracking points between the data demander (2) and the interface platform (3), between the interface platform (3) and the data processing platform (4), and between the data processing platform (4) and the government big data sharing platform (5); when the government big data sharing platform (5) sends the called data to the data processing platform (4), when the data processing platform (4) sends the data that has completed the first processing to the interface platform (3), and when the interface platform (3) sends the data that has completed the second processing to the data demander (2), the collection platform (6) collects data information through the tracking points and generates a tracking point monitoring log, and then saves the tracking point monitoring log.

2. The public data processing system according to claim 1, characterized in that The data processing platform (4) includes a plurality of analysis modules (41), each of which includes a response unit (410), a cleaning unit (411), an analysis unit (412), an integration unit (413) and a desensitization unit (414); the response module (40) is used to receive a business processing request and initiate a data call request to the government affairs big data sharing platform (5) according to the business processing request; the cleaning unit (411), the analysis unit (412), the integration unit (413) and the desensitization unit (414) are used to The data sent by the big data sharing platform (5) is processed for the first time; the cleaning unit (411) is used to receive the data sent by the government big data sharing platform (5) and clean the data; the analysis unit (412) is used to receive the data output by the cleaning unit (411) and analyze the data; the integration unit (413) is used to receive the data output by the analysis unit (412) and integrate the data; the desensitization unit (414) is used to receive the data output by the integration unit (413) and desensitize the data.

3. The public data processing system according to claim 1, characterized in that The interface platform (3), the data processing platform (4) and the government big data sharing platform (5) are respectively provided with an encryption module (10); when the government big data sharing platform (5) receives a data call request from the data processing platform (4), the government big data sharing platform (5) calls data according to the data call request, encrypts the called data through the encryption module (10), and then sends the encrypted data to the data processing platform (4); the data processing platform (4) receives the data sent by the government big data sharing platform (5), and performs a first processing on the data sent by the government big data sharing platform (5), and then encrypts the data that has completed the secondary processing through the encryption module (10), and sends the encrypted data to the interface platform (3); the interface platform (3) receives the data sent by the data processing platform (4), and performs a second processing on the data sent by the data processing platform (4), and then encrypts the data that has completed the secondary processing through the encryption module (10), and sends the encrypted data to the data demander (2).

4. The public data processing system according to claim 3, characterized in that Encryption processing uses national secret algorithms to encrypt data.

5. The public data processing system according to claim 2, characterized in that The interface platform (3) includes an interface module (31), and the interface module (31) includes multiple interfaces (311). Each interface (311) corresponds to a user (2) and an analysis module (41). The interface (311) is used to receive authorization information and then receive an authorization code. The interface (311) verifies the authorization code according to the authorization information. If the authorization code is correct, the interface (311) initiates a business processing request to the response unit (410) of the corresponding analysis module (41); if the authorization code verification fails, the interface (311) terminates the data request of the user (2); the interface (311) is used to receive data sent by the data processing platform (4), and then sends the data sent by the data processing platform (4) to the user (2).

6. The public data processing system according to claim 5, characterized in that The interface platform (3) further comprises a display module (32), wherein the display module (33) is used to receive the data output by the interface (311) and realize data visualization for the data output by the interface (311).

7. The public data processing system according to claim 1, characterized in that The data transmission process in which the government big data sharing platform (5) sends the called data to the data processing platform (4), the data transmission process in which the data processing platform (4) sends the data after the first processing to the interface platform (3), and the data transmission process in which the interface platform (3) sends the data after the second processing to the data demander (2) adopts any one of the HTTPS protocol, dedicated technology tunnel access and IP whitelist methods to encrypt the data transmission process.

8. The public data processing system according to claim 1, characterized in that The first processing adopts a desensitizing method to process the data sent by the government big data sharing platform (5).

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