Distributed autonomous ai digital community global underlying support architecture

Through the distributed autonomous AI digital community's overall underlying support architecture, the downtime risk and high cost of centralized smart communities have been solved, enabling low-cost, secure, and controllable autonomous governance and cross-node collaboration, forming a lightweight and autonomously controllable community governance ecosystem.

CN122334871APending Publication Date: 2026-07-03刘激振

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
刘激振
Filing Date
2026-05-12
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The existing centralized smart community architecture suffers from high downtime risk, data silos, high costs, and poor collaboration. It cannot achieve lightweight deployment and distributed autonomous governance, and lacks independent controllability.

Method used

It adopts a distributed autonomous AI digital community full-domain underlying support architecture, and achieves autonomous operation and maintenance and cross-node collaboration through edge distributed node networking, time-series incremental synchronization mechanism, intelligent hierarchical algorithm and resource inspection model, combined with private coding and biometric hash rights confirmation.

Benefits of technology

It achieves a community governance system with no risk of central downtime, low deployment costs, controllable data security, intelligent transaction governance, and autonomous resource operation and maintenance, forming an ecological closed loop.

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Abstract

This invention discloses a distributed autonomous AI digital community underpinning architecture, belonging to the fields of digital community, distributed AI architecture, and grassroots social governance technology. Addressing the technical pain points of existing township and community digitalization projects that mostly adopt centralized platform architectures, resulting in severe data silos, weak node collaboration capabilities, lack of autonomous scheduling capabilities, reliance on third-party commercial underlying frameworks, and poor independent controllability, this invention proposes a "lightweight deployment, distributed networking, time-series data flow, and three-core driven" underpinning architecture. This invention constructs three core modules: an intelligent governance scheduling subsystem, a resident digital identity confirmation subsystem, and a community resource self-governance operation and maintenance subsystem. It employs a distributed node networking and time-series data flow mechanism to achieve intelligent allocation of community affairs, encrypted identity confirmation, autonomous resource allocation, and multi-node collaborative linkage. This architecture can adopt the architectural concept of a multi-level unit dynamic linkage and collaborative control system, integrates intelligent scheduling logic, incorporates physiological perception and non-sensory access logic, connects to a hardware security foundation for abnormal event management, and connects to a responsibility anchoring and traceability system to complete the traceability of community affairs responsibilities. This invention is adaptable to multiple scenarios including townships, streets, industrial parks, and residential areas. It features low deployment costs, no central downtime, autonomous controllability, and unlimited horizontal scalability, making it suitable for new future communities, grassroots digital governance, and the construction of distributed human settlement Internet of Things.
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Description

Technical Field

[0001] This invention belongs to the fields of digital community, distributed networking of artificial intelligence, grassroots social governance, and edge IoT technology. Specifically, it relates to a lightweight, decentralized, and autonomous AI community full-domain underlying support architecture, which is applicable to future communities, smart towns, digital parks, and human settlement safety management scenarios. Background Technology

[0002] Currently, most smart communities in China adopt a centralized cloud platform architecture, with all data centrally stored, processed, and managed. This architecture suffers from significant technical shortcomings: central server outages cause system-wide paralysis, data fragmentation across business systems, poor node interoperability, high deployment costs, reliance on third-party commercial underlying infrastructure, and weak independent controllability. Traditional community platforms cannot achieve reliable resident identity verification, automated resource operation and maintenance, or intelligent event dispatch, and lack a time-sequential, structured, and traceable underlying data flow system. Existing technologies are not suitable for low-cost, lightweight deployment in rural towns, nor can they achieve distributed autonomous governance. The industry urgently needs an independent, controllable, lightweight, highly secure, and scalable community underlying architecture. Summary of the Invention

[0003] To address the industry pain points of high downtime risk, data silos, high costs, and poor collaboration in existing centralized community architectures, this invention proposes a distributed, autonomous AI-powered digital community underlying support architecture. This invention builds three core subsystems, employing edge-distributed node networking to avoid large server clusters; using a time-series incremental synchronization mechanism to ensure availability during network outages; relying on private coding and biometric hashing to establish trusted resident identities; relying on intelligent hierarchical algorithms for community affairs governance; and relying on resource inspection models for autonomous operation and maintenance of public assets. This architecture is fully compatible with upper-layer intelligent agent management systems and can connect to wearable sensing, hardware risk control, and legal tracing modules, forming a digital community foundation for human-machine co-governance and virtual-physical integration. Intentional effect

[0004] (1) No risk of central failure: Distributed nodes serve as backups for each other, so there is no single point of failure; (2) Extremely low deployment cost: lightweight edge nodes, no need for large data centers; (3) Data security and controllability: Localized de-identification and transfer, without relying on third-party public cloud; (4) Intelligent transaction management: automatic hierarchical classification, automatic order dispatch, and cross-node collaboration; (5) Autonomous operation and maintenance of resources: facility inspection, load monitoring, and automatic optimization and allocation; (6) Strong compatibility: It can connect to the entire patent matrix of perception, security and traceability to form an ecological closed loop. Detailed Implementation

[0005] Multiple lightweight edge nodes are deployed in townships and subdistricts, each autonomously collecting data on community pedestrian flow, facility status, and resident behavior. Routine garbage collection and equipment repair requests are categorized as routine matters and handled within 24 hours; neighborhood disputes and facility damage are categorized as general events and responded to within 4 hours; fires, fainting incidents, and area intrusions are categorized as emergencies and handled by multiple nodes in a coordinated manner within 30 minutes. Resident identities are confirmed using a combination of private codes and biometric hashes, enabling seamless access and tiered access. Public facilities are monitored for usage rates in real time, with low-usage equipment automatically shutting down and resources being migrated. Each node operates independently when offline, and automatically performs incremental synchronization upon reconnection. This architecture can seamlessly integrate with seamless access control systems, hardware security circuit breaker systems, and responsibility evidence storage and traceability systems, completing a closed-loop human-machine integrated community governance system.

Claims

1. A distributed autonomous AI digital community global bottom layer support architecture, characterized in that, include: Intelligent governance and dispatch subsystem, resident digital identity confirmation subsystem, community resource self-governance and operation subsystem; The intelligent governance and scheduling subsystem is used for intelligent identification, hierarchical classification, automatic task assignment, and cross-node collaborative handling of community affairs. The resident digital identity confirmation subsystem is used to generate a unique digital identity for residents, bind physiological characteristics and behavioral records, and realize encrypted identity confirmation and hierarchical privacy management. The community resource self-governance operation and maintenance subsystem is used for the dynamic allocation, status monitoring, automatic inspection and effectiveness evaluation of community public resources; The three subsystems are interconnected at the underlying level through a distributed node network and time-series data transfer mechanism. Each node operates independently and works in coordination, with no centralized point of failure.

2. A method for providing full-domain underlying support for a distributed autonomous AI digital community, applied to the architecture described in claim 1, characterized in that, Includes the following steps: S1. Distributed node network deployment: Lightweight edge nodes are deployed in each community node, and information synchronization between nodes is achieved through a time-series data flow mechanism; S2. Intelligent Dispatch of Community Affairs: The intelligent governance and dispatch subsystem automatically identifies the type and urgency level of community affairs, and completes automatic dispatch and cross-node linkage handling. S3. Encrypted Resident Identity Confirmation: The resident digital identity confirmation subsystem generates a unique digital identity identifier, binds physiological characteristics and behavioral records, and realizes identity trust and privacy classification. S4. Community Resource Self-Governance Allocation: The community resource self-governance operation and maintenance subsystem dynamically monitors the status of public resources and automatically completes resource allocation and performance evaluation. S5. Cross-domain data interconnection: The three subsystems share de-identified data through distributed node networking, building a digital foundation for the entire community.

3. The architecture according to claim 1, characterized in that, The distributed node network adopts a lightweight deployment mode, which does not require the configuration of a large server cluster and is suitable for various deployment scenarios such as township edge nodes, urban streets, and industrial parks.

4. The architecture according to claim 1, characterized in that, The intelligent governance and scheduling subsystem embeds an event classification and early warning model, which divides community events into three levels: daily affairs, general events, and emergency events, corresponding to different response times and dispatch strategies.

5. The architecture according to claim 1, characterized in that, The resident digital identity confirmation subsystem uses a combination of private custom coding and biometric hashing to generate a unique identity identifier, and supports collaborative work with the resident encrypted identity confirmation system.

6. The architecture according to claim 1, characterized in that, The community resource self-governance operation and maintenance subsystem monitors the status of community public facilities and performs automatic inspections. When the resource utilization rate is lower than a preset threshold, it triggers optimization suggestions or resource reallocation.

7. The architecture according to claim 1, characterized in that, The time-series data transfer mechanism adopts timestamp synchronization and incremental data broadcasting. During network outages, nodes can operate independently, and data is automatically supplemented and verified after the network is restored.

8. The architecture according to claim 1, characterized in that, This architecture adopts the architectural concept of a multi-level unit dynamic linkage and collaborative control system, integrates intelligent scheduling logic, incorporates physiological perception and non-sensory access logic, connects to a hardware security base to achieve abnormal event management, and connects to a responsibility anchoring and tracing system to complete the traceability of community affairs rights and responsibilities. It works in conjunction with the community intelligent governance and time-series collaborative scheduling control system and the resident encrypted identity confirmation and data privacy protection system to build a closed-loop distributed autonomous community technology system with a full-link "perception-scheduling-security-identity-confirmation-traceability".