Distributed Node Video Surveillance System Architecture
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Solution Overview
Problem
Existing video surveillance systems face performance bottlenecks, scalability issues, and data inconsistency due to centralized processing, leading to response delays and system instability when handling large capacity data and user access.
Innovation Solution
A distributed node video surveillance system with a service center management platform, VSS serving nodes, Client Units (CUs), and Pre Units (PUs), where data synchronization mechanisms ensure consistency across nodes, allowing direct access and reducing database load, and enabling platform expansion without architectural changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized processing mode is used in the RGM module, then service processing can be simplified and managed centrally, but the system becomes a performance bottleneck and cannot support large capacity access
Solution Approach 1:
The patent divides the centralized RGM module into multiple distributed RGM nodes (RGM1, RGM2, ..., RGMn) that can independently process service requests. Each node maintains local data and can handle client and device access autonomously, eliminating the single-point bottleneck while maintaining centralized management capabilities through inter-node communication.
2Adaptability or versatility
If data interaction between database server and subsystems is increased to support more functionality, then system capability is improved, but database performance becomes a bottleneck
Solution Approach 1:
The patent extracts frequently accessed data and configuration information from the central database and stores them in local memory databases at each RGM node. This reduces the frequency of database interactions while maintaining system functionality, as nodes can serve requests from local cached data without constantly querying the central database.
Solution Approach 2:
Each distributed RGM node maintains its own local data storage and processing capabilities, allowing it to handle requests independently without always requiring central database access. This local autonomy reduces database load while maintaining versatile system functionality through distributed data management.
3Productivity
If the system is designed to support large capacity PU accessing and media forwarding, then service capability is improved, but system pressure increases causing response delay and collapse
Solution Approach 1:
The patent segments the system into multiple RGM nodes that can independently handle large capacity PU accessing and media forwarding tasks. This distribution of load prevents any single node from becoming overwhelmed, maintaining system stability while supporting high service capacity through parallel processing across multiple nodes.
4Ease of manufacture
If the system hardware platform and software are designed for fixed capacity, then initial deployment is simple, but the system cannot be expanded or adjusted
Solution Approach 1:
The patent creates a dynamic system where RGM nodes can be added, removed, or scaled independently based on demand. The distributed architecture allows the system to adapt its capacity by simply adding or removing nodes without requiring complete system redesign, maintaining ease of deployment while achieving high scalability.
5Adaptability or versatility
If a distributed node structure is used to improve scalability, then system expansion capability is improved, but data consistency across nodes becomes difficult to maintain
Solution Approach 1:
The patent implements feedback mechanisms where RGM nodes periodically synchronize their local data with the central database and with each other. This continuous feedback loop ensures data consistency across the distributed system while maintaining scalability, as nodes can operate independently but automatically correct any data divergences through scheduled synchronization.
Data Source
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AI summary
The present invention provides a distributed node video surveillance management system, and the system includes: a plurality of Video Surveillance System (VSS) serving nodes, a service center management platform, a Pre Unit (PU) and a Client Unit (CU). Each of the VSS serving nodes connects the PU which is used to collect video surveillance information and the CU which is used to display said video monitoring information; the CU and the PU directly access each of the VSS serving nodes to acquire data; data in the plurality of VSS serving nodes keep synchronous with the data in the service center management platform. The present invention further provides a method for managing a distributed node video surveillance system to implement communication between the CU and the PU, and the method uses two synchronization mechanisms to solve the problem of consistency of data generated by the distributed structure. The system and method provided by the present invention can ensure a long-term stable operation in the case of the large capacity, and implement large capacity data processing in real-time.