Integrated prevention and control facilitates the transformation and upgrading of smart security

With the advent of the era of intelligent security, the three-dimensional prevention and control system has risen to the national strategic level. At the same time, the requirements for the overall three-dimensional prevention and control construction have also been further increased.

The three-dimensional social security prevention and control system refers to an integrated system that implements full-time, space-time, all-round, and three-dimensional dynamic prevention and control of social security. The construction of three-dimensional front-end networks in the era of intelligence requires scientific and reasonable distribution methods to carry out overall and unified planning of the front-end network and promote the depth of collaboration and application of each sensing network in the later period. The mature construction model represented by "circle grid points" and "fishing net theory" is the basic framework for dividing the front-end construction points of the entire city, relying on the "defensive space theory" in the sense of criminal geography, combined with urban functional areas, business Application types, divide corresponding scenarios, build a regular model of the spatial distribution of urban crime and public security problems, and carry out front-end network prevention and control deployment based on local conditions. According to the functional characteristics, prevention and control object characteristics and actual survey results of different scenarios (administrative central area, urban business district, central business district, residential area, urban village, scenic spot, etc.) in the city, within each basic grid Construct corresponding ground prevention and control network, aerial prevention and control network, dynamic prevention and control network, static prevention and control network, Internet of Things prevention and control network and other networks.

Each network within the basic grid (scenario) is composed of various front-end cameras and IoT smart sensing front-ends with different functional attributes and focuses. Among them, the ground prevention and control network is mainly an all-weather, multi-environment urban security prevention and control network system based on fixed area target monitoring on the ground; the aerial prevention and control network focuses on breaking through the limitations of the two-dimensional plane and expanding the layered prevention and control of vertical space; The static prevention and control network mainly relies on the urban road network to achieve effective identification and early warning of suspicious surveillance personnel and vehicles in key locations. It focuses on the front-end extraction of structured data and can cooperate with the ground prevention and control network to form a cross-section of suspicious surveillance targets. Tracking; the dynamic prevention and control network relies on various mobile high-definition devices and conveniently deployed wireless front-end devices to achieve a breakthrough in the fixed monitoring mode, enrich the means of information acquisition, give the connotation of dynamic acquisition of information data collection, and improve emergency response capabilities; The joint prevention and control network is a useful supplement to various fixed, static, and dynamic video monitoring points. It makes full use of Internet of Things technology to realize ubiquity, scale, and multi-dimensional data collection and expand big data applications.

Utilize advanced technologies such as video structuring technology and intelligent picture analysis technology, combined with deep learning algorithms, to extract structured data of people, vehicles, and moving targets in massive videos, and convert massive unstructured videos and semi-structured pictures into structured data. The structured information of value is provided to the upper-level business application system for in-depth application.

With the large-scale application of high-definition video, the scale of security video surveillance systems is getting larger and larger. The types of data that need to be stored in the system are diverse, the complexity of industry applications is increasing, and video data needs to be continuously stored in the storage system for a long time. And it can be called accurately at any time, which puts forward new requirements for the reliability and performance of the storage system.

In future complex systems, data will grow explosively, and rapid storage and retrieval technology for massive data is particularly important. Storage systems are becoming a decisive factor in the future development of video surveillance technology. By packaging the storage and management functions of cloud storage and integrating with the upper-layer application platform through an open and transparent application interface and a simple and easy-to-use management interface, it provides efficient and reliable data storage services for the entire security monitoring system.