An AI remote instruction transmission system based on cloud native

By combining a cloud-native platform and AI modules, remote control without the need for public IP addresses and port mapping is achieved, solving the problem that individual users cannot remotely control intranet devices. This enables global remote control and AI-automated execution, reducing costs and improving security.

CN122120256APending Publication Date: 2026-05-29赵科宇
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
赵科宇
Filing Date
2026-03-15
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, individual users cannot remotely control internal network devices via the public network, AI cannot achieve intelligent control, and there are NAT restrictions, resulting in high costs, high complexity, and difficulty in achieving global remote control.

Method used

By using a cloud-native platform to provide WebSocket services, and combining AI modules with intranet devices to establish long connections, remote control can be achieved without public IP addresses and port mapping, and commands can be executed automatically using AI modules.

Benefits of technology

It enables global remote control without the need for public IP addresses and port mapping, reducing costs, simplifying the configuration process, ensuring confidentiality and security, and making it easy for individual users to operate.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of AI remote instruction transmission systems based on cloud native, belong to Internet of Things, cloud computing and artificial intelligence technical field.The application includes: cloud native platform, deployment in public network, provide WebSocket service and public network access address;AI module, with the cloud native platform communication, for receiving user natural language instruction, after analysis, by HTTP POST request sent to cloud native platform;Intranet equipment, located in user intranet, actively with the cloud native platform establishes WebSocket long connection, receives and analyzes instruction from AI module.The application does not need public network IP, does not need port mapping, does not need to set router, realizes the remote instruction transmission of public network to intranet equipment;Support AI automatic execution, without manual intervention;With covert security, low cost, personal can be independently completed and the like advantages.The application can be widely applied in intelligent furniture, Internet of Things, remote control and the like field, solves the technical problem that public network cannot directly control intranet equipment.
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Description

Technical Field

[0001] This invention relates to a cloud-native AI remote command transmission system, belonging to the fields of Internet of Things, cloud computing and artificial intelligence technology, specifically a cloud-native AI remote command transmission system. Background Technology

[0002] Currently, remote control of intranet devices mainly relies on traditional server architectures. Users need to build their own servers, configure public IP addresses, and perform device port mapping, which is costly, complex, and unable to achieve AI-powered intelligent control. Furthermore, NAT restrictions between the public and intranet networks make remote control difficult for individual users.

[0003] The inventor has studied piano since childhood (Grade 10 in piano from the China Conservatory of Music, and holds a Level 4 certificate in home electronics repair (2008), and has 15 years of experience in software and hardware development. By integrating art and technology across disciplines, the inventor has finally completed this invention. Summary of the Invention

[0004] 3.1 Purpose of the Invention This invention aims to solve the problems in the prior art, such as the inability of individuals to remotely control internal network devices via the public network and the inability of AI to control physical devices, and provides a cloud-native AI remote command transmission system.

[0005] 3.2 Technical Solution This invention includes: *Cloud-native platforms (such as Railway): Deployed on the public network, providing WebSocket services and public network access addresses; *AI modules (such as Baidu OPENCLAW): Understand user natural language commands and send them to the cloud-native platform via HTTP POST requests; *Internal network devices (such as Raspberry Pi): Actively establish a WebSocket long connection with the cloud-native platform to receive and parse instructions from the AI ​​module.

[0006] 3.3 Beneficial Effects Compared with the prior art, the present invention has the following advantages: *No public IP address required, no port forwarding required, no router configuration required; * Enables global, unrestricted remote control; *Executed automatically by AI, requiring no human intervention; *Hidden and secure, commands are encrypted, making the device difficult to detect; *Can be completed independently by an individual, at a low cost.

[0007] Figure 1 This is a screenshot of the Raspberry Pi terminal display. Figure 2 This is a screenshot returned by Baidu OPENCLAW. Figure 3 This is a diagram showing that Railway has a long connection with the Raspberry Pi via WebSocket.

Claims

1. A cloud-native AI remote command transmission system, characterized in that: The cloud-native platform, deployed on the public network, provides WebSocket service and a public network access address. The AI ​​module communicates with the cloud-native platform to receive user natural language commands, parse them, and send them to the cloud-native platform via HTTP POST requests. The intranet device, located within the user's intranet, actively establishes a long-lived WebSocket connection with the cloud-native platform, receives and parses commands from the AI ​​module, and outputs control signals.

2. The system according to claim 1, characterized in that, The cloud-native platform is the railway platform, and the WebSocket service is used for device registration, command forwarding, and heartbeat maintenance.

3. The system according to claim 1, characterized in that, The AI ​​module is Baidu AI (OPENCLAW), which understands user commands through natural language processing and encapsulates the commands into JSON format and sends them via POST requests.

4. The system according to claim 1, characterized in that, The intranet device is a Raspberry Pi running a Node.js environment. It maintains a long connection with the cloud-native platform through a WebSocket client and outputs control signals through GPIO after receiving instructions.

5. The system according to claim 1, characterized in that, The HTTP request is a POST request, and the request body contains the device ID, action instructions, and parameters in JSON format.

6. The system according to claim 1, characterized in that, The system also includes a heartbeat mechanism, whereby internal network devices periodically send heartbeat messages to the cloud-native platform to maintain the connection.

7. The system according to claim 1, characterized in that, The cloud-native platform supports Cross-Origin Access (CORS), allowing requests from any domain to access its API.