Intelligent fusion method under industry data space and supervision system heterogeneous network

Abstract

The invention provides an intelligent fusion method under an industry data space and supervision system heterogeneous network, which comprises the following steps: sending a generated business log to a subscription push service of a front-end processor for processing the business log, and pushing the processed business log to a supervision platform; the supervision platform carries out data analysis on the business log, generates corresponding alarm information, sends the alarm information to a subscription push service of the front-end processor, and is used for forwarding the alarm information to the business platform; and the business platform processes the alarm information and sends a processing result to the subscription push service for forwarding the processing result to the supervision platform. According to the invention, the subscription push service is introduced between the business platform and the supervision platform, so that butt joint of any security supervision platform developed by a third party is facilitated; under two heterogeneous network environments, data pushing and subscribing under the heterogeneous environments are completed by utilizing a front-end processor in a port mapping mode, and the whole data pushing and subscribing are based on an encryption channel, so that the safety of a data transmission process is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of industry data management, and in particular to an intelligent fusion method of industry data space and supervision system in a heterogeneous network. Background Art

[0002] With the rapid development of information technology, various industries have accumulated a large amount of data resources, forming a huge industry data space. These data not only contain commercial secrets and user privacy, but may also be related to national security. In order to strengthen data security management, the industry data space urgently needs to be supervised by the national management department during operation. However, the current supervision systems are all developed by third parties, which are naturally separated from the data space system. There are problems such as network disconnection, data indicators disconnection, violations cannot be automatically identified and processed, and feedback is not timely, which makes docking and integration very inconvenient. Summary of the invention

[0003] The technical problem to be solved by the present invention is how to realize data communication between the industry data space and the supervision system; in view of this, the present invention provides an intelligent fusion method of the industry data space and the supervision system in a heterogeneous network.

[0004] The technical solution adopted by the present invention is an intelligent fusion method of industry data space and regulatory system in heterogeneous network, including:

[0005] Step S100, the business platform sends the generated business log to the subscription push service of the front-end processor, which processes the business log and pushes the processed business log to the supervision platform;

[0006] Step S200, the supervision platform performs data analysis on the business log, and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform;

[0007] Step S300: the business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

[0008] In one embodiment, no communication connection is set between the business platform and the supervision platform, and the two transfer information through the front-end processor.

[0009] In one embodiment, the service platform sends the generated service log to the subscription push service of the front-end processor, including:

[0010] Perform business tracking, or configure timed triggering, and write the business log to the buffer database;

[0011] Read the business log in the buffer database, assemble a complete prompt word according to similar alarm information and alarm handling information in the content retrieval vector database, input it into the configured big model for violation identification dialogue, and the big model analyzes and determines whether the business log is compliant;

[0012] If there is any violation, the illegal behavior will be intercepted and pushed to the internal violation alarm processing module;

[0013] If there is no violation, no interception will be done and the violation log will be pushed to the log processing module;

[0014] After the internal violation alarm processing module processes the violation, it feeds back the processing result to the log processing module;

[0015] The log processing module updates the illegal behavior log into a normal behavior business log according to the processing result, and pushes it together with other normal supervision business behavior logs to the subscription push service of the front-end for processing;

[0016] The subscription push service receives the pushed log data, decrypts it using an algorithm and verifies the integrity of the data, and according to the requirements of the regulatory platform, drags and drops field mapping between the fields to be pushed by the regulatory platform and the fields of the received log data to form the push content, which is then pushed to the regulatory platform.

[0017] In one implementation, the business log includes: subject registration information, access data information, application docking information, and data product call log information.

[0018] In one embodiment, the supervision platform performs data analysis on the business log, generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, and forwards the alarm information to the business platform, including:

[0019] The regulatory platform performs data analysis and judgment based on the pushed log data, issues risk warnings for non-compliant content, and pushes corresponding risk warnings to the subscription push service according to regulatory requirements;

[0020] The subscription push service pushes risk alerts to the alert forwarding service of the business platform.

[0021] In one embodiment, the business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform, including:

[0022] The alarm forwarding service forwards the risk alarm to the violation alarm processing module;

[0023] The violation alarm processing module processes the risk alarm and feeds back the processing result to the alarm forwarding service;

[0024] The alarm forwarding service pushes the alarm processing result to the subscription push service of the front-end processor;

[0025] The subscription push service pushes the alarm processing result to the supervision platform according to the requirements of the supervision platform and the customized drag and drop field mapping processing result content;

[0026] The supervision platform updates the processing status according to the processing result and issues a risk closure instruction to the subscription push service of the front-end processor;

[0027] The subscription push service pushes the risk status to the synchronization risk status service, and synchronizes the risk status to the data space supervision business processing service of the business platform;

[0028] Among them, the violation alarm processing module is further used to automatically insert the business log alarm information and disposal results into the vector database of the automatic identification of violation intelligent agent, which serves as a knowledge base for identifying violations and as a long-term memory carrier during the intelligent agent identification period.

[0029] In one embodiment, the communication between the data space service system, the front-end processor, and the supervision platform adopts an encrypted transmission method;

[0030] When pushing regulatory business logs using an encrypted channel, the log data is encrypted and then transmitted based on the TLS protocol. The encryption algorithm used supports AES / DES / 3DES / SM4.

[0031] Another aspect of the present invention also provides an intelligent fusion system under a heterogeneous network of industry data space and supervision system, comprising: a business platform, a front-end processor, and a supervision platform that encrypt communication connections in sequence;

[0032] The service platform is used to send the generated service log to the subscription push service of the front-end, which is used to process the service log and push the processed service log to the supervision platform;

[0033] The supervision platform performs data analysis on the business log and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform;

[0034] The business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

[0035] Another aspect of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the intelligent integration method of the industry data space and the regulatory system in a heterogeneous network as described in any one of the above items.

[0036] Another aspect of the present invention provides a computer storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the intelligent fusion method of the industry data space and the regulatory system in a heterogeneous network as described in any of the above items are implemented.

[0037] Compared with the prior art, the present invention has at least the following advantages:

[0038] The present invention proposes an intelligent fusion method of an industry data space and a supervision system in a heterogeneous network, introduces a subscription push service between the industry data space system and the supervision platform, can independently customize the push subscription content, and is convenient for connecting to any security supervision platform developed by a third party; in two heterogeneous network environments, the front-end is used to complete data push and subscription in the heterogeneous environment through port mapping, and the entire data push and subscription are based on an encrypted channel to ensure the security of the data transmission process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of an intelligent integration method of an industry data space and a regulatory system in a heterogeneous network according to an embodiment of the present invention;

[0040] Figure 2 Schematic diagram of intelligent fusion system architecture under heterogeneous network of industry data space and supervision system according to an embodiment of the present invention;

[0041] Figure 3 It is a schematic diagram of a specific implementation process of the intelligent fusion system architecture under the heterogeneous network of the industry data space and the supervision system according to an embodiment of the present invention;

[0042] Figure 4 FIG. 1 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose, the present invention is described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0044] Unless otherwise defined, all terms (including technical terms and scientific terms) used in this article have the same meaning as commonly understood by ordinary technicians in the field to which this application belongs. It should also be understood that terms (such as terms defined in commonly used dictionaries) should be interpreted as having the same meaning as their meaning in the context of the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined in this article.

[0045] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0046] For ease of understanding, some of the special terms that may be involved in the present invention are explained as follows:

[0047] Glossary:

[0048] 1. TLS: The Transport Layer Security Protocol (TLS) is used to provide confidentiality and data integrity between two communicating applications. The protocol consists of two layers: TLS Record Protocol and TLS Handshake Protocol.

[0049] 2. Encrypted channel: Based on the TLS protocol, the transmitted data is encrypted from the input end. The encryption algorithm uses 3DES, and the MD5 algorithm is used for data integrity verification.

[0050] 3. Front-end machine: It is equivalent to a server and can communicate through port mapping. Only the data on the front-end machine can leave the domain.

[0051] 4. Large models: refers to machine learning models with large-scale parameters and complex computational structures. These models are usually built with deep neural networks and have billions or even hundreds of billions of parameters. Large models are designed to improve the expressiveness and predictive performance of the model and to handle more complex tasks and data. Large models are widely used in various fields, including natural language processing, computer vision, speech recognition, and recommendation systems. Large models learn complex patterns and features by training massive amounts of data, have stronger generalization capabilities, and can make accurate predictions on unseen data.

[0052] 5. Agent: Agent is a core concept in the field of artificial intelligence. At the most basic level, an agent can be defined as an entity that can autonomously perceive information in its environment and make decisions based on this information to achieve a specific goal or task. The key characteristics of an agent include autonomy, perception, and decision-making capabilities.

[0053] The first embodiment of the present invention is an intelligent fusion method of industry data space and supervision system in heterogeneous network, such as Figure 1 As shown, including:

[0054] Step S100, the business platform sends the generated business log to the subscription push service of the front-end processor, which processes the business log and pushes the processed business log to the supervision platform;

[0055] Step S200, the supervision platform performs data analysis on the business log, and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform;

[0056] Step S300: the business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

[0057] In this embodiment, no communication connection is set between the business platform and the supervision platform, and the two transfer information through the front-end processor.

[0058] In this embodiment, the service platform sends the generated service log to the subscription push service of the front-end processor, including:

[0059] Perform business tracking, or configure timed triggering, and write the business log to the buffer database;

[0060] Read the business log in the buffer database, assemble a complete prompt word according to similar alarm information and alarm handling information in the content retrieval vector database, input it into the configured big model for violation identification dialogue, and the big model analyzes and determines whether the business log is compliant;

[0061] If there is any violation, the illegal behavior will be intercepted and pushed to the internal violation alarm processing module;

[0062] If there is no violation, no interception will be done and the violation log will be pushed to the log processing module;

[0063] After the internal violation alarm processing module processes the violation, it feeds back the processing result to the log processing module;

[0064] The log processing module updates the illegal behavior log into a normal behavior business log according to the processing result, and pushes it together with other normal supervision business behavior logs to the subscription push service of the front-end for processing;

[0065] The subscription push service receives the pushed log data, decrypts it using an algorithm and verifies the integrity of the data, and according to the requirements of the regulatory platform, drags and drops field mapping between the fields to be pushed by the regulatory platform and the fields of the received log data to form the push content, which is then pushed to the regulatory platform.

[0066] In this embodiment, the business log includes: subject registration information, access data information, application docking information, and data product call log information.

[0067] In this embodiment, the supervision platform performs data analysis on the business log, generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, and forwards the alarm information to the business platform, including:

[0068] The regulatory platform performs data analysis and judgment based on the pushed log data, issues risk warnings for non-compliant content, and pushes corresponding risk warnings to the subscription push service according to regulatory requirements;

[0069] The subscription push service pushes risk alerts to the alert forwarding service of the business platform.

[0070] In this embodiment, the business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform, including:

[0071] The alarm forwarding service forwards the risk alarm to the violation alarm processing module;

[0072] The violation alarm processing module processes the risk alarm and feeds back the processing result to the alarm forwarding service;

[0073] The alarm forwarding service pushes the alarm processing result to the subscription push service of the front-end processor;

[0074] The subscription push service pushes the alarm processing result to the supervision platform according to the requirements of the supervision platform and the customized drag and drop field mapping processing result content;

[0075] The supervision platform updates the processing status according to the processing result and issues a risk closure instruction to the subscription push service of the front-end processor;

[0076] The subscription push service pushes the risk status to the synchronization risk status service, and synchronizes the risk status to the data space supervision business processing service of the business platform;

[0077] Among them, the violation alarm processing module is further used to automatically insert the business log alarm information and disposal results into the vector database of the automatic identification of violation intelligent agent, which serves as a knowledge base for identifying violations and as a long-term memory carrier during the intelligent agent identification period.

[0078] In this embodiment, the communication between the data space service system, the front-end processor and the supervision platform adopts an encrypted transmission method;

[0079] When pushing regulatory business logs using an encrypted channel, the log data is encrypted and then transmitted based on the TLS protocol. The encryption algorithm used supports AES / DES / 3DES / SM4.

[0080] For further reference Figure 2 The entire data space and regulatory platform integration architecture diagram is divided into the following three parts:

[0081] The first part is the industry domain network environment, which contains the industry data space business platform.

[0082] The second part is the front-end environment, which can connect to both the industry domain network and the government domain network through port mapping. The subscription push service is deployed in it.

[0083] The third part is the government domain network environment

[0084] The entire business simplification process is as follows:

[0085] 1) The business logs generated by the business platform are sent to the subscription push service of the front-end, which processes the logs and pushes the processed business logs to the supervision platform. The front-end can be connected to both the industry data space and the supervision platform, but the industry data space and the supervision platform cannot be connected. The industry data space and the supervision platform transfer information through the front-end.

[0086] 2) The supervision platform analyzes the log data, generates an alarm based on the preset alarm conditions, and pushes the alarm information to the subscription push service of the front-end, which then forwards the alarm to the business platform

[0087] 3) The business platform handles the alarm information and sends the handling results to the subscription push service of the front-end machine, which forwards the handling results to the supervision platform after processing.

[0088] The following will be combined Figure 3 , the method provided in this embodiment is described in detail.

[0089] S1: Perform business embedding in the data space business system, or periodically trigger business logs to be written into the buffer database. Business logs mainly include subject registration information, access data information, application docking information, data product call logs, and other information.

[0090] S2: Automatically identify violations. The intelligent agent reads the log information in the buffer database, and then retrieves similar alarm information and alarm handling information in the vector database based on the log information, assembles them into complete prompt words, and inputs them into the intelligent agent large model for violation identification dialogue. The large model will analyze and determine whether it is compliant.

[0091] S3: Automatic Identification of Violations The agent can automatically determine whether the behavior log violates the rules. If so, the illegal behavior will be intercepted and pushed to the violation alarm processing module. If not, it will not be intercepted. At the same time, the illegal behavior log will be pushed to the log processing module. Normal log behaviors will automatically flow to the log processing module.

[0092] S4: After the violation alarm processing module processes the violation, it feeds back the processing result to the log processing module.

[0093] S5: The log processing module will update the violation log into a normal behavior log according to the processing result, and push it together with other normal regulatory business behavior logs to the subscription push service for processing.

[0094] The communication between the data space business system, front-end machine and supervision platform adopts encrypted transmission. The encrypted channel is used to push the supervision business log, which will encrypt the log data and then transmit it based on the TLS protocol. The encryption algorithm can be configured, and currently supports AES / DES / 3DES / SM4, etc. As long as it involves the communication between the three, it will be uniformly encrypted. Transmission mode and encrypted channel are used.

[0095] S6: The subscription push service receives the pushed log data, uses the algorithm to decrypt it and verify the integrity of the data. According to the requirements of the regulatory platform, drag and drop the fields to be pushed by the regulatory platform and the fields of the received log data to form the push content and push it to the regulatory platform.

[0096] S7: The security supervision platform conducts data analysis and judgment based on the pushed log data, issues risk warnings for non-compliant content, and pushes corresponding risk warnings to the subscription push service according to regulatory requirements.

[0097] S8: The subscription push service pushes the risk alert to the alert forwarding service in the data space.

[0098] S9: The alarm forwarding service forwards the risk alarm to the violation alarm processing module.

[0099] S10: The violation alarm processing module completes the alarm processing and feeds back the processing result to the alarm forwarding service.

[0100] S11: The alarm forwarding service pushes the alarm processing result to the subscription push service.

[0101] S12: The subscription push service pushes the alarm processing results to the security supervision platform according to the requirements of the supervision platform, and customizes the drag and drop field mapping processing result content.

[0102] S13: The security supervision platform updates the processing status based on the processing results and issues a risk closure instruction to the subscription push service.

[0103] S14: The subscription push service pushes the risk status to the synchronization risk status service, and synchronizes the risk status to the data space supervision business processing service.

[0104] S15: The violation alarm processing module will automatically insert the business log alarm information and disposal results into the vector database of the automatic violation identification agent as a knowledge base for identifying violations and as a long-term memory carrier during the agent identification period. When identifying whether the business log is in violation, similar log alarm information and disposal results are retrieved from the vector database, and together with the business log, they form the prompt words of the agent model and are input into the agent model to determine whether it is in violation.

[0105] The second embodiment of the present invention corresponds to the first embodiment. Figure 2 or Figure 3 As shown, this embodiment introduces an intelligent fusion system of an industry data space and a regulatory system in a heterogeneous network, which is used to implement the method provided in the first embodiment. The system includes:

[0106] Encrypt the communication connections of the business platform, front-end machine, and supervision platform in sequence;

[0107] The service platform is used to send the generated service log to the subscription push service of the front-end, which is used to process the service log and push the processed service log to the supervision platform;

[0108] The supervision platform performs data analysis on the business log and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform;

[0109] The business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

[0110] A third embodiment of the present invention is an electronic device, such as Figure 4 As shown, it can be understood as a physical device, including a processor and a memory storing instructions executable by the processor. When the instructions are executed by the processor, the following operations are performed:

[0111] Step S100, the business platform sends the generated business log to the subscription push service of the front-end processor, which processes the business log and pushes the processed business log to the supervision platform;

[0112] Step S200, the supervision platform performs data analysis on the business log, and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform;

[0113] Step S300: the business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

[0114] The fourth embodiment of the present invention, the process of the intelligent fusion method of the industry data space and the regulatory system under the heterogeneous network of this embodiment is the same as the first, second or third embodiment, the difference is that in engineering implementation, this embodiment can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the method of the present invention can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, disk, CD), including a number of instructions for a device to execute the method described in the embodiment of the present invention.

[0115] In summary, compared with the prior art, the advantages of the present invention are at least:

[0116] 1) The embodiment of the present invention innovatively decouples the industry data space system and the supervision platform, introduces a subscription push service, and can independently customize the push subscription content, making it convenient to connect to any security supervision platform developed by a third party;

[0117] 2) In the embodiment of the present invention, the front-end is used to complete the data push and subscription in the heterogeneous environment by port mapping in two heterogeneous network environments, and the entire data push and subscription are based on an encrypted channel to ensure the security of the data transmission process;

[0118] 3) The embodiment of the present invention can customize the push content by dragging and dropping fields according to the requirements of the regulatory platform, and can meet the requirements of the regulatory platform to push content without development;

[0119] 4) The embodiment of the present invention is based on intelligent agent technology to automatically identify whether the behavior log is in violation of regulations, and automatically send it to the processing module, and finally update the log data, reduce the logs reported to the supervision platform, and lower the violation score of the data space platform.

[0120] Through the description of the specific implementation methods, a deeper and more specific understanding of the technical means and effects adopted by the present invention to achieve the predetermined purpose should be obtained. However, the accompanying drawings are only for reference and illustration purposes and are not intended to limit the present invention.

Claims

1. An intelligent fusion method of industry data space and regulatory system in heterogeneous network, characterized in that: include: Step S100, the business platform sends the generated business log to the subscription push service of the front-end processor, which processes the business log and pushes the processed business log to the supervision platform; Step S200, the supervision platform performs data analysis on the business log, and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform; Step S300: the business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

2. The intelligent fusion method of industry data space and regulatory system in heterogeneous network according to claim 1 is characterized in that: There is no communication connection between the business platform and the supervision platform, and the two transfer information through the front-end machine.

3. The intelligent fusion method of industry data space and regulatory system in heterogeneous network according to claim 1 is characterized in that: The service platform sends the generated service log to the subscription push service of the front-end, including: Perform business tracking, or configure timed triggering, and write the business log to the buffer database; Read the business log in the buffer database, assemble a complete prompt word according to similar alarm information and alarm handling information in the content retrieval vector database, input it into the configured big model for violation identification dialogue, and the big model analyzes and determines whether the business log is compliant; If there is any violation, the illegal behavior will be intercepted and pushed to the internal violation alarm processing module; If there is no violation, no interception will be done and the violation log will be pushed to the log processing module; After the internal violation alarm processing module processes the violation, it feeds back the processing result to the log processing module; The log processing module updates the illegal behavior log into a normal behavior business log according to the processing result, and pushes it together with other normal supervision business behavior logs to the subscription push service of the front-end for processing; The subscription push service receives the pushed log data, decrypts it using an algorithm and verifies the integrity of the data, and according to the requirements of the regulatory platform, drags and drops field mapping between the fields to be pushed by the regulatory platform and the fields of the received log data to form the push content, which is then pushed to the regulatory platform.

4. The intelligent fusion method of industry data space and supervision system in heterogeneous network according to claim 3 is characterized in that: The business log includes: subject registration information, access data information, application docking information, and data product call log information.

5. The intelligent fusion method of industry data space and supervision system in heterogeneous network according to claim 3 is characterized in that: The supervision platform performs data analysis on the business log and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform, including: The regulatory platform performs data analysis and judgment based on the pushed log data, issues risk warnings for non-compliant content, and pushes corresponding risk warnings to the subscription push service according to regulatory requirements; The subscription push service pushes risk alerts to the alert forwarding service of the business platform.

6. The intelligent fusion method of industry data space and supervision system in heterogeneous network according to claim 5 is characterized in that: The business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform, including: The alarm forwarding service forwards the risk alarm to the violation alarm processing module; The violation alarm processing module processes the risk alarm and feeds back the processing result to the alarm forwarding service; The alarm forwarding service pushes the alarm processing result to the subscription push service of the front-end processor; The subscription push service pushes the alarm processing result to the supervision platform according to the requirements of the supervision platform and the customized drag and drop field mapping processing result content; The supervision platform updates the processing status according to the processing result and issues a risk closure instruction to the subscription push service of the front-end processor; The subscription push service pushes the risk status to the synchronization risk status service, and synchronizes the risk status to the data space supervision business processing service of the business platform; Among them, the violation alarm processing module is further used to automatically insert the business log alarm information and disposal results into the vector database of the automatic identification of violation intelligent agent, which serves as a knowledge base for identifying violations and as a long-term memory carrier during the intelligent agent identification period.

7. The intelligent fusion method of industry data space and regulatory system in heterogeneous network according to claim 1 is characterized in that: The communication between the data space business system, the front-end processor and the supervision platform adopts an encrypted transmission method; When pushing regulatory business logs using an encrypted channel, the log data is encrypted and then transmitted based on the TLS protocol. The encryption algorithm used supports AES / DES / 3DES / SM4.

8. An intelligent fusion system of industry data space and regulatory system in heterogeneous network, characterized by: include: Encrypt the communication connections of the business platform, front-end machine, and supervision platform in sequence; The service platform is used to send the generated service log to the subscription push service of the front-end, which is used to process the service log and push the processed service log to the supervision platform; The supervision platform performs data analysis on the business log and generates corresponding alarm information to the subscription push service of the front-end according to the preset alarm preset condition information, so as to forward the alarm information to the business platform; The business platform processes the alarm information and sends the processing result to the subscription push service of the front-end processor, which is used to forward the processing result to the supervision platform.

9. An electronic device, characterized in that: The electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the steps of the intelligent integration method of the industry data space and the regulatory system in a heterogeneous network are implemented as described in any one of claims 1 to 7.

10. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the intelligent integration method of the industry data space and the regulatory system in a heterogeneous network as described in any one of claims 1 to 7.

Images