Big data, smart city's next innovation point?

Source: Internet
Author: User
Keywords Intelligent city large data providing
Tags analysis application big data business cross cross-regional data data collection

The essence of Intelligent City is the wisdom of data processing, in fact, in any industry, will not encounter in the intelligent city industry such cross-sectoral, cross-regional and trans-type data complexity. And around the intelligent city across sectors, across the industry data integration and analysis of large data services, but also by the intelligent city and large data two industries as the future direction of development.

"We think that the intelligent city is a large data system, the city to realize the function of intelligence, must have large data to support." "Neusoft Senior Vice president Professor Lu Zhaoxia. She said that real-time, comprehensive, systematic data collection and implementation is the foundation of Intelligent City, and the data collected from the lack of effective analysis and evaluation, the intelligent city units can not achieve the purpose of organic operation, so the wisdom of the BI system is a smart city to achieve another necessary condition. "We think that a smart city, there must be a large data processing system, from collection, storage, analysis to use, are intelligent." "Lu Zhaoxia said.

"A lot of city's intelligent city construction with a card as a concrete embodiment, but in fact, the success of the card is based on the back-end of the data sharing and data integration, must be the city's public data center shared, the foundation of the large data system." Professor Lu Zhaoxia so introduces the importance of big data as a foundation of intelligent cities. She said that from the food safety traceability system to the intelligent community management and security, from automotive navigation, electronic police to traffic scheduling and ticketing system, the wisdom of all industries depends on data acquisition, unified scheduling and analysis and mining.

"The essence of the intelligent city is the data management problem, whether can the various departments of so much data mobilization, so that everyone realize sharing, through the wisdom of the application of services to the people's Daily necessities." Lu Zhaoxia stressed.

The understanding of the city business, the clear understanding of the data source and the use, is the important challenge that IT service provider faces in the process of providing the customer with large data. With the maturity of large data analysis and processing tools, the big Data application in the Intelligent city has no problem at the technical level, but how to combine the data analysis and the business application demand, we need to have the "all-in-one" industry, understand the industry application of IT service provider can surpass the traditional boundary, station to the city platform to extract the key information, Provide effective support for decision-making. How to build Data Analysis Service Technical force with cross-industry information experience is not easy for IT service providers.

In the process of providing data service for Intelligent city, the problem of information security level also becomes a big obstacle for IT service providers. Cross-sectoral data consolidation in smarter cities brings together the city's key information resources, and while most of the information is not secret, sensitive information, if leaked, can also have an impact on the privacy of citizens, businesses and governments.

In the view of IBM Charin, in the current China's intelligent city construction process, the collection of massive data has become a universal application, but the real analysis of the data, to support decision-making, is the most important.

"For cities, big data is an emergency, and in a city emergency, it needs to be able to call data anytime, anywhere, to provide an economic response." If large data works too long, it loses value. "Charin said.

And around the intelligent city of the "Big Data" advanced stage, that is, through data integration and data mining to achieve true wisdom, also by Taiji is considered to be the future IT service providers to achieve innovative services the most important direction of development.

"In the construction of smart Beijing, data from different departments is extracted through certain rules, further providing support services for policymakers." "Taiji Wisdom City Division general manager Li Cunguo Introduction."

As early as 2005, Beijing had adopted a unified Exchange system for government information resources, starting data mining business exploration, through "knot pairs" and other ways to design the exchange of data methods, content, frequency and security system, through the unified platform provided by the Commission to exchange data, to achieve the system and technical double guarantee. The Tai chi, as a builder, provides services such as platform construction, real-time data exchange, multiple means of data access, encapsulation and service, and continuous support and communication.

"At the moment, it is the main obstacle for IT service providers to provide data services directly to urban decision makers." "Urban policymakers don't know big data needs, or they feel that traditional ways are enough," says Li Cunguo. ”

In order to make the city decision makers fully aware of the value of the large data service, Li Cunguo introduced that Taiji is currently in some areas the practice is to carry out pilot case work in a small scope, such as the correlation of several departments of information to provide urban operation of the integrated status of services, so that urban decision-makers feel the value of This will result in the need to extend the application of large data to all boards.

"Because the pilot scale is small, the leader wants to see a lot of related information is invisible, so the feedback is more general." Li Cunguo admits. He said the promotion of large data services would be one of the major attempts in the future of Taiji in the path of Intelligent city development.

(Responsible editor: Fumingli)

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