In the era of digital economy, the importance of data to cities is like blood to the human body. The construction of a safe city cannot be separated from the massive data stored in video surveillance systems, and also requires the intelligent analysis and prediction capabilities of big data as support. Only by fully leveraging the role of big data in safe cities can we truly achieve "smart security".

So what is the connection between big data and the construction of safe cities?



Firstly, let's take a look at the current development status of Ping An City in China:
1. Although the coverage of video surveillance in China is already very extensive, it is inevitable that there are still situations where urban blind spots or remote areas cannot be covered. Continuing to increase deployment and upgrading the existing system remains a key focus of the construction of a safe city.

2. Although there are a series of documents issued by the government to guide, the system networking and data sharing effects between different cities are still poor, leading to relatively loose construction of safe city systems in various cities.
3. How to effectively combine the collected information with emerging technologies such as big data, the Internet of Things, and cloud computing to promote the intelligent transformation of Ping An City is of utmost importance in the current construction of Ping An City.



Secondly, let me talk about the main role that big data plays in Ping'an City:
1. Establish a complete security system
Ping An City can utilize its natural advantages in data resources and functions to integrate data from other government departments, establish a complete social security prevention and control system, and provide comprehensive urban services through intelligent applications, so that Ping An City is no longer limited to security prevention and control, but upgraded to comprehensive urban operation services, namely smart cities.

2. Improve the efficiency of security system management
Ping An City is a large-scale and highly comprehensive management system that applies big data to the collection, transmission, storage, management, display, and mining of video images, solving the problems of storing, retrieving, and managing massive amounts of data, fundamentally improving the management efficiency of security systems, and promoting the further implementation of Ping An City.

3. Digging for the value behind data
Supported by big data technology, the network video surveillance data storage model can shift towards a distributed data storage system, providing efficient, secure, and affordable storage methods. Through big data technology, it is possible to achieve fuzzy query, fast retrieval, precise positioning of video images, and further explore the value information behind massive video surveillance data. It can quickly provide feedback on connotation knowledge to assist decision-making and judgment, thus making video surveillance better and more effective.



Finally, summarize the importance of big data for the construction of safe cities.
The main purpose of building a safe city is to achieve intelligent visual security management in every corner of the city, providing security guarantees for the construction of a smart city. Currently, big data has been widely applied in a series of intelligent monitoring and prediction services such as urban meteorological and pollution changes, urban emergency command, intelligent traffic monitoring, and intelligent public safety, becoming an important component of safe city construction. With the continuous evolution and upgrading of big data and Internet of Things technology, Ping An City will further develop into a digital city and a smart city in the future.

The emergence of big data technology has opened up a Xintiandi for Ping'an City, making it constantly move towards digital and intelligent direction, and laying the foundation for the construction and development of smart cities.