Smart cities with big data applications


Smart city is a new entity based on framework of digital city and peaceful city. It makes effective integration between the real world and digital world through IoT, automatically and real-timely perceive various states and changes of people and things in real world; it Processes the mass and complicated calculation and control by computer cloud center, provides various kinds of intelligent service to the urban management and public.

To finally achieve smart city, big data technology is necessary. Mainly it includes three requirements. These requirements will help us to achieve the collection, handling, processing, analysis of the big data, and play a real role in specific business.

Big data fusion technology

One of the major challenges of smart city construction, is the standard issues between urban systems that cannot be effectively integrated, thus forming the information isolated island. Therefore, in the field of big data fusion technology, on the one hand, it must strengthen the big data standard construction; on the other hand, it must strengthen the key technology research and development, such as the huge amounts of heterogeneous data modeling and integration, mass heterogeneous data column storage and index, so as to give the standards and technical support to the information sharing of underlying data integration.

Big data processing technology

Considering the transmission efficiency, data quality and safety factors, large-scale data in the flow process of smart city system needs to be preprocessed. Big data processing technology always require to combined with the cloud computing parallel and distributed technology, which is currently adopted widely in the international industry.

Big data analysis and digging technology

Big data analysis and digging technology provides powerful decision making capabilities for smart city management. Compared to the big data fusion and processing technology, data analysis and digging technology is more complicated; it is a challenging technical problem in international academia and industry.

Big data technology is keep on developing, as well as users’ obvious demand for big data technology, big data industry applications flourish everywhere. Here are some real cases at home and abroad to you just for reference.

Domestic smart cities

In March 2013, Beijing officially launched the smart sunrise service network. By means of big data processing and analysis technology, it extracts data from the support library, and then send to service management system; after this, it communicates with different user groups by Wechat, Weibo, mobile applications, service website, set-top box.

The smart police service

By taking full advantages of advanced technology, such as cloud computing, internet of things, big data and video intelligent analysis technology, GIS (geographic information system), GPS (global positioning system), mobile communication network, mobile police intelligent system and digital integration, it realize modernization, intelligence, streamline and visualization of policing service.

Intelligent transportation

Zhengzhou city had already created intelligent public traffic system, which made the buses information to be displayed on the map. For example, the nearest bus is coming in 5 minutes and it is full loading; the next bus is coming in 10 minutes and there are empty seats, you can choose to ride. In this situation, there is 2 minutes for you to go downstairs, 1 minute to walk to the bus station; you can use the rest 7 minutes to enjoy a cup of tea. 

The smart fire control

Guangzhou city had already established a system of intelligent fire alarm. People just need to dial 119. Then the system will know the position of the people alarmed immediately, and check the cameras from this area, so as to confirm the position and the fire situation.

The smart city planning

In the planning of the city, through the urban geography, meteorology, economy, society, culture and population, it provides powerful decision making, strengthens the scientific nature and foresight of the city management service.