Off-line ai multi-device cooperative control and private data security storage method and system

Abstract

This invention discloses an offline AI multi-device collaborative control and privacy data secure storage and personal thought digital preservation method and system, relating to the fields of artificial intelligence and data security technology. This invention learns a user's long-term behavioral habits, language logic, and thinking characteristics through a local offline AI model, forming an independently operable personal digital model that can be securely stored on a local device even after the user's death, achieving permanent preservation of personal memories and thinking characteristics. Simultaneously, it achieves offline collaborative control of multiple devices and encrypted secure data storage, without relying on the cloud, ensuring privacy and security. This invention solves the problems of cloud dependence, easy data leakage, and the inability to pass on users' digital assets associated with traditional smart devices, and is applicable to smart home, personal data preservation, and family emotional inheritance scenarios.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence, local offline computing, smart home control, multi-device collaborative scheduling, and privacy data secure storage, specifically to offline intelligent control and data security protection technologies for home and small office scenarios. Background Technology

[0002] Current smart device control solutions mostly rely on cloud servers for data processing and command forwarding, resulting in problems such as strong network dependence, high response latency, easy leakage of user privacy data, and insufficient data transmission security. Furthermore, there is a lack of a unified collaborative scheduling mechanism among various smart devices, leading to independent operation, low linkage efficiency, and a poor user experience. Furthermore, existing control systems cannot perform voice recognition, command parsing, and encrypted data storage locally. Sensitive information such as user control records, voice commands, and device status lacks effective protection, making it susceptible to loss, theft, and tampering. Ordinary household users find it difficult to achieve offline, secure, and efficient unified management of all smart home devices in a low-cost manner, thus limiting the widespread adoption and application of smart control technology. Summary of the Invention

[0003] Purpose of the invention To address the shortcomings of existing technologies, this invention provides an offline AI multi-device collaborative control and privacy data secure storage method and system. It enables local intelligent recognition, automatic multi-device collaboration, real-time command response, and encrypted storage of privacy data in network-free environments, solving problems such as cloud dependence, privacy leakage, poor collaboration, and low security, thereby improving the stability, security, and practicality of intelligent control systems.

[0004] Technical solution This system uses a local computing terminal as the core processing unit and is equipped with an offline AI recognition model. It completes voice command acquisition, feature extraction, intent parsing, and command distribution in an environment without network connection. It establishes stable connections with various types of smart terminals such as lighting, home appliances, security, and environmental control through a wireless communication module, realizing unified scheduling and automated collaborative control of multiple devices.

[0005] The system incorporates a data encryption module, secure storage unit, and automatic backup mechanism to encrypt user voice commands, control logs, and device status information in real time, and performs local secure storage and anomaly recovery. It also features access control, unauthorized command interception, and device status monitoring to ensure the entire system operates independently, stably, and securely.

[0006] Innovation It adopts a local offline AI processing architecture, which can achieve intelligent recognition and command control without the need for an internet connection, and there is no risk of privacy upload.

[0007] Establish a unified collaborative scheduling mechanism for multiple devices to achieve automatic linkage and scenario-based intelligent operation of various intelligent terminals.

[0008] It enables on-device data encryption and secure storage, providing full protection for user privacy information and preventing data leakage and loss.

[0009] It has the functions of identifying illegal commands and intercepting abnormal states, which improves the security of system operation.

[0010] With low hardware requirements, simple deployment, and controllable costs, it is suitable for widespread use in ordinary homes and small offices.

[0011] A method for offline AI multi-device collaborative control, secure storage of privacy data, and digital retention of personal thoughts is characterized by the following steps: deploying an offline AI recognition model on a local computing terminal to collect and learn the user's long-term behavioral habits, thinking patterns, and language characteristics to form a unique personal digital model; after the user's death, the model can still be securely stored on the local device, achieving permanent retention of personal thoughts and behavioral characteristics; establishing connections with multiple types of smart terminals through a wireless communication module to achieve unified scheduling and automated collaborative control; and encrypting user commands, control logs, device status, and personal digital data in real time, and completing local secure storage and automatic backup.

Claims

1. A method for offline AI multi-device collaborative control, secure storage of privacy data, and digital retention of personal thoughts, characterized in that: include: An offline AI recognition model is deployed on a local computing terminal to collect and learn users' long-term behavioral habits, thinking patterns, and language characteristics, forming a personalized digital model. Even after the user's death, the model can still be securely stored on the local device, achieving permanent preservation of personal thinking and behavioral characteristics. It establishes connections with various smart terminals through a wireless communication module to achieve unified scheduling and automated collaborative control. User commands, control logs, device status, and personal digital data are encrypted in real time and completed with secure local storage and automatic backup.

2. The method according to claim 1, characterized in that, The offline AI model can perform speech recognition, intent parsing, and command generation, and supports real-time response in environments without a network connection.

3. The method according to claim 1, characterized in that, Multi-device collaborative control supports scenario-based linkage and custom rule configuration.

4. The method according to claim 1, characterized in that, Data encryption uses a symmetric encryption algorithm, and the storage unit has access permission verification and anomaly recovery functions.

5. An offline AI multi-device collaborative control and privacy data secure storage and personal thought digital retention system, characterized in that, include: The system includes a local computing terminal, an offline AI module, a wireless communication module, a multi-device collaborative control module, a data encryption module, a secure storage unit, and a personal digital model module. The offline AI module is connected to the local computing terminal to enable local instruction parsing and user feature learning. The wireless communication module connects the local computing terminal to various smart terminals. The data encryption module is connected to the secure storage unit to enable encrypted storage of privacy data and the personal digital model.

6. The system according to claim 5, characterized in that, The system has the functions of identifying illegal commands and intercepting abnormal states.