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The application of big data in the security industry makes security more intelligent. Big data technologies are generally divided into data acquisition, storage, mining, and analysis technologies. Among them, intelligent analysis is at the core. Intelligent analysis is one of the key points that distinguish security big data from IT big data. Only by using intelligent analysis technology to convert unstructured data of security big data to structured data, can IT big data mature technology system be applied to security large In the data, we will give full play to the role of security big data.
Security storage technology development status
Storage in the security industry has experienced tape storage, DVR, NVR, SAN direct storage and other product forms. The concept of emerging software definitions, cloud storage, etc. is also emerging. However, no matter how the development, the role of storage is always to write Import and read two functions. Traditional distributed storage, such as DVRs and NVRs, can only distribute distributed storage across monitoring areas to ensure the basic write requirements. The performance of large-scale reads cannot be met on demand. The centralized storage in the field mainly refers to SANs and all-in-one devices. This type of device achieves a large-scale single-write space through RAID and expansion of expansion cabinets, which meets the high-density requirements, but still cannot be used for video reading. To the on-demand distribution; cloud storage architecture to truly write video, read on-demand distribution, linear expansion, increase the independent storage nodes can get higher read and write performance.
From a practical point of view, the main requirements of users for storage are construction, storage, reading, management, and maintenance. As the high-end storage in the surveillance industry, such as cloud storage, is still in its infancy, there is no uniform standard, and there are uneven storage products on the market. The metrics corresponding to these standards can be summarized as follows:
1) The bottleneck of construction is reflected in the ease of on-line deployment, whether it can be quickly deployed in minutes, and whether it is possible to reduce the ease of equipment going online in batches;
2) The bottleneck that exists is whether it can meet mass-scale storage, single video, complex small-size pictures, etc. It can both ensure space and guarantee performance;
3) The bottleneck of reading is reflected in the ability to read on demand, especially for real-world business deployments for video surveillance. The performance of reads increases linearly, and storage can be guaranteed;
4) The bottleneck of the pipe is embodied in the ease of use, whether it can accurately obtain the status of the device in real time, and whether the human-machine interface that is not friendly to traditional storage can be transformed into a more intimate interaction;
5) The bottleneck of the dimension is to ensure the high availability of the device. How to treat the fault in the cloud storage system as a normal state and take into account the balance between data security and cost.
Cloud storage development status
The concept of cloud storage is similar to that of cloud computing. It refers to the use of cluster applications, grid technologies, or distributed file system functions to pool a large number of different types of storage devices in the network through application software and work together to provide data externally. A system for storage and service access functions that guarantees data security and saves storage space. Compared with traditional storage devices, cloud storage is not only a hardware, but a complex system composed of multiple components such as network devices, storage devices, servers, application software, public access interfaces, access networks, and client programs. Each part takes the storage device as the core and provides data storage and service access services externally through application software. Strictly speaking, cloud storage is not storage but services. Cloud storage has become a trend for future storage development. Cloud computing and cloud storage are causing a technological revolution. The security industry is no exception.
Currently, large-scale high-definition video surveillance system applications in the security industry need to meet massive high-definition video data storage, high-definition video data such as 720P, 1080P, 5MP, and 8MP high-resolution IPC access, large number of concurrent large-scale stream real-time Reading and writing data, traditional storage performance is facing great challenges;
High-definition display of security surveillance video images, massive unstructured data storage, multiple information fusion, analysis and mining of audio and video images, intelligent analysis and decision-making of large-scale data needs to introduce advanced technologies such as cloud computing and cloud storage, especially In the large-scale industrial applications of safe cities, intelligent transportation, smart cities, and trans-territories, the demand for unstructured data storage systems such as massive video pictures in these industries means the improvement of data storage capacity and computing processing performance. It is required to have high performance, high capacity, high reliability, and scalability. At the same time, it needs to achieve a deep integration with the security industry applications to meet the special business applications of the massive video data management of the security system.
At present, cloud storage has been deployed and used in large-scale industrial security markets. For example, in the construction of smart cities and safe cities, it is required to provide a massive storage system for video surveillance, and to make full use of the stored data for in-depth analysis and processing. Traditional storage technologies cannot meet the needs of social development. The application of cloud storage in the security field will become an inevitable choice.
Security Cloud Storage Technology Advantages
Cloud storage is becoming more and more promising in video surveillance. Cloud storage is a vane for future development. Compared with traditional storage, security cloud storage mainly has the following advantages:
High-speed access
Security cloud storage needs to face high concurrency, high data rate data storage requirements, face high definition, high bit rate video storage, storage systems need to provide high-performance data throughput capabilities. Security cloud storage adopts a data discrete storage mechanism. Recordings of each monitoring point are divided into blocks and stored concurrently in different storage nodes. When reading, these storage nodes will concurrently provide services and avoid single devices. The bottleneck of reading is several times faster than traditional storage, and it can meet the needs of large-scale security projects such as safe cities and massive concurrent storage and reading.
Security integration
In practical applications, security cloud storage is integrated with various business systems, such as image reconnaissance and video intelligent analysis. It directly integrates video recording management, video playback, and media forwarding services in the storage array, making full use of cloud storage and high-reliability hardware. And network. At the same time, security cloud storage provides standard sdk interfaces, which can facilitate the secondary development of security business systems by customers and integrate more closely with security business systems.
Streaming
Security cloud storage generally adopts a codestream direct-storage mode because of the location of its use, the user's fixed nature, and the user's requirements for efficient application of video. This simplifies the architecture of the system, reduces the number of failure points, and improves the efficiency of system deployment and operation and maintenance costs. , And cloud storage is generally set up in a special network, better protect the quality of video.
Retrieving quickly
PB-level massive monitoring data will be generated in the system, and the number of storage devices will amount to hundreds of units. Therefore, the scientific and efficient management methods are very important. Cloud storage can provide multi-device centralized management tools based on cluster management technology, with functions such as centralized device monitoring, cluster management, system hardware and software status monitoring, active alarm, and image system detection. In massive video storage retrieval applications, retrieval performance is particularly important, so the speed of data retrieval is critical for security storage.
Safe and reliable
When the online storage system fails, the hot spare machine can immediately take over the service. When the failure recovers, the service and data are migrated; if the failed machine data needs to be called, the disk of the failed machine can be inserted into the cold standby machine to realize all the data. Available now.
The role of cloud storage in intelligent analysis
Currently in the security industry, there are two main types of intelligent analysis: One is the processing and analysis of unstructured information such as video images, including video intelligence analysis tools, video abstraction, image clarity tools, video clarity tools, video transcoding Tools, video editing tools, and so on; the other is the big data analysis and processing tool for structured, semi-structured information. Such processing and analysis tools are the framework and experience of the security industry in absorbing IT industry's handling of big data. More popular frameworks such as Hadoop, Spark's big data processing, and data mining tools allow for fast and accurate data analysis and mining of structured and semi-structured data.
The application of big data in the security industry makes security more intelligent. Big data technologies are generally divided into data acquisition, storage, mining, and analysis technologies. Among them, intelligent analysis is at the core.