Cloud Storage Data Processing for Video Surveillance
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Solution Overview
Problem
The field of video surveillance faces challenges with poor data storage flexibility among cloud domains, leading to rigid data management and maintenance, especially in urban-level surveillance where centralized data centers are impractical due to scattered locations.
Innovation Solution
A cloud storage-based data processing method and system that includes a cloud management device receiving data query requests, determining if media data is stored in a cloud backup device, and pushing the address of the media data to the client, allowing for flexible data management and automatic switching between cloud work and backup devices to ensure continuous data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If independent cloud storage systems are built in various districts and counties for autonomous management, then data security and autonomy are improved, but data storage flexibility and management efficiency deteriorate
Solution Approach 1:
The system divides cloud storage into independent cloud domains (work cloud domains and backup cloud domains) that can operate autonomously while maintaining security. Each district or county can have its own cloud domain with independent data management, ensuring data security and autonomy while the segmented structure allows flexible data routing and storage across multiple domains.
Solution Approach 2:
The patent introduces a cloud management device as an intermediary that coordinates between independent cloud domains. This mediator enables flexible data storage by directing data to appropriate cloud domains (work or backup) while maintaining autonomous operation of each domain, thus improving storage flexibility without compromising data security.
2Ease of operation
If independent cloud storage systems are built in various districts and counties, then autonomous management is improved, but management complexity and control difficulty increase
Solution Approach 1:
The system segments cloud storage into independent cloud domains that can be autonomously managed by local authorities. Each cloud domain operates independently with its own management capabilities, allowing districts and counties to manage their data autonomously without requiring complex centralized coordination, thus reducing overall management complexity.
Solution Approach 2:
Each cloud domain is designed to be self-managing with autonomous capabilities. The cloud work domains and cloud backup domains can independently handle data storage, access, and management operations without requiring constant external intervention, simplifying the management structure while maintaining autonomous operation.
3Productivity
If centralized data centers are constructed for unified data management, then data management efficiency is improved, but construction feasibility deteriorates due to scattered locations
Solution Approach 1:
The patent divides the centralized data center concept into distributed cloud domains that can be constructed locally in various districts and counties. This segmentation allows data management functionality to be deployed where needed without requiring a single centralized facility, making construction feasible in scattered locations while maintaining efficient data management through the cloud domain architecture.
Solution Approach 2:
The cloud domain architecture provides universal data management capabilities that can be deployed in any location. Each cloud domain can handle multiple functions (data storage, backup, retrieval) and can serve multiple purposes, allowing the system to achieve centralized management efficiency through distributed, multi-functional nodes rather than a single specialized facility.
4Ease of operation
If data is stored only in cloud work domains, then data access simplicity is improved, but data storage reliability deteriorates due to lack of backup
Solution Approach 1:
The system segments data storage into cloud work domains for primary data access and cloud backup domains for backup storage. This segmentation allows data to be accessed simply from the work domain while maintaining reliability through separate backup domains, resolving the contradiction between access simplicity and storage reliability.
Solution Approach 2:
The cloud management device acts as an intermediary that transparently handles data routing between work domains and backup domains. When data is accessed, the intermediary automatically retrieves it from the appropriate domain without requiring user awareness of the storage location, maintaining access simplicity while ensuring data reliability through automatic backup management.
Data Source
Figure 1~2(a)
Figure 2(b)~3
Figure 4(a)
AI summary
The embodiments of the present application disclose a data processing method and system based on cloud storage. The method includes: a cloud management device receiving a data query request sent by a client via a cloud work device, wherein the data query request is used to request for querying media data that has been stored in a cloud domain, the cloud work device is a default storage cloud domain of an IP camera; the cloud management device querying whether the media data collected by the IP camera is stored in a cloud backup device according to the data query request; and if the cloud management device determines that the media data of the IP camera is stored in the cloud backup device according to the data query request, pushing an address of the media data to the cloud work device, wherein the address of the media data is used for the client to request for querying the media data from the cloud backup device. The present application solves the technical problem of poor data storage flexibility among cloud domains in related arts.