How are smart cities built with big data?

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​Innovative practices and experiences of new smart cities

The construction of a new type of smart city takes data as the core. Through the division of ownership, it is necessary to collect and manage the data of various departments in the city. Through the data center, the application scenarios of the city are finally aggregated to fully release the value of data. At the same time, based on the practice and thinking in the construction of new smart cities, the construction and operation of smart cities requires capabilities in four dimensions, including top-level design capabilities, data center construction capabilities, smart city application development capabilities, and ecological cultivation and empowerment capabilities. CyberVein has the full-stack capability of smart city construction and operation. It uses DAVE data switches to build a new type of smart city. Next, it will analyze it in combination with five capability dimensions.

1. Top-level design capabilities

Using big data to find an exit for smart cities

The existing top-level design is lacking: blind construction, smart city construction is out of touch with urban development goals, and a thousand cities are the same; each department operates independently, lacks unified norms and departmental coordination, and smart city construction is chaotic and low in quality; low-level redundant construction wastes a lot of storage and Computing resources.

Smart city is the product of the combination of urban sustainable development and new generation of information technology, and it is a new goal and new model of urban development in the world today. In recent years, big data technology has developed vigorously, and big data applications have become increasingly widespread. With big data as the core, CyberVein collects, stores, develops, and analyzes a huge amount of data with scattered sources, diverse formats, and types to realize data value and capitalization, discover new knowledge, create new value, and enhance new data. The new generation of information technology and service formats with advanced capabilities make smart cities "thousands of faces".
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2. Building capabilities in the data center

Using data to drive urban management and development

Now data islands are common: Fragmented systems and digital intelligence construction lead to data fragmentation and algorithm separation; subject to departmental barriers and vertical construction and accumulation of business units, a chimney system is formed; lack of unified data standards and specifications makes it difficult to integrate and share data. The island phenomenon is common.

Since the beginning of its construction in 2017, CyberVein has realized that the data center plays a vital role in the digital transformation and sustainable development of an enterprise. Previously, the core technologies of smart cities included artificial intelligence, Internet of Things, big data and cloud computing, and now new information technologies such as blockchain and 5G have been added, and CyberVein has been involved, including blockchain, artificial intelligence and big data Support the DAVE smart city solution for the main technology.
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The PISR database of the DAVE data manageable section can be understood as a data middle platform. It uses the alliance chain to build an open, flexible, and scalable enterprise-level unified data management and analysis platform, and associates internal and external data as needed for external data cooperation. Let the business value be released and make it the center of enterprise data asset management.

At the same time, in addition to using the PISR database, you can also choose to use the Cytrix distributed computing platform and AI federated learning to learn technologies such as big data intelligent analysis, data visualization, etc., to realize the management of data catalogs, models, standards, accountability, security, visualization, and sharing. , realize centralized storage, processing, classification and management of data, establish a big data analysis tool library and algorithm service library, realize automatic report generation, agile data analysis, and visualized data mining, realize data quality assessment, landing management process, and deeply mine data value , realize data assetization, and help enterprises to implement digital transformation.

3. Smart city application development capabilities
The development and utilization of data resources
is currently lacking in application and operation capabilities: the construction of smart cities lacks unified technology and standards, and it is difficult to implement information exchange and follow-up operations of the main body; there are many and scattered application scenarios in smart cities, and the organizational structure restricts them. Business collaboration leads to loss of focus in operations; lack of a digital intelligence capability precipitation mechanism makes it difficult to expand and apply digital intelligence capabilities, and evolution is inefficient.

In the era of big data, only with the ability to develop and utilize urban data resources can other capabilities really play a role. CyberVein forms a brand-new urban construction and management model based on massive information and intelligent filtering processing, manages production and life in a more refined and dynamic manner, and realizes urban intelligent management and operation, thereby comprehensively improving the comprehensive competitiveness of the city and the quality of life of citizens , Let the data run errands for the masses!

Help city managers focus on "Internet + government services", medical and health care, environmental protection, transportation and logistics, cultural tourism and other fields, strengthen demand analysis and big data model design, promote the development and utilization of urban big data, and improve public management services and Decision-making capacity. It also provides enterprise users with application development capabilities covering multiple scenarios such as retail, manufacturing, logistics, cultural tourism, smart travel, and smart cities.

Guided by urban governance and people's livelihood services, speed up data standardization and standardization construction, improve relevant management systems, strengthen the construction of data collection channels and the rapid aggregation of urban data, especially strengthen the integration of government data and social data, and gradually establish a complete city The data resource pool promotes horizontal and vertical interconnection and data sharing and openness.
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4. Ecological Cultivation and Empowerment Capabilities

Digital transformation of industrial clusters

Weak industry pull effect: Most of the smart city projects are now directly invested and constructed by the government. There has been no suitable model for attracting the participation of enterprises and social forces. The participation of enterprises and social forces is low. Fully develop vitality.

Statistics show that China alone has more than 70 industrial clusters worth hundreds of billions of dollars. If digital transformation can expand the industrial value space by 10%, it can create an additional value of more than 300 billion U.S. dollars every year. Throughout the world, digital transformation and upgrading is of great significance to the future development of industrial clusters, and it is also of great value to drive small and medium-sized enterprises to bridge the digital divide.

Only advanced digital technology and services can help the digital ecological construction, talent training, digital innovation, digital supply chain, and the development of emerging business formats in regional industrial clusters, so as to comprehensively drive small and medium-sized enterprises to cross the digital divide, enhance risk resistance and resilient growth, and in " The potential in the "digital fertile soil" will drive a new round of growth in the digital economy.
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Decoupling and reconstruction path of smart city construction

1. Digitalization: Based on scenarios and service capabilities, basic resources such as storage, computing, and network are planned in a unified manner, and centralized management and flexible deployment are made.

2. Servicing: sort out the public capabilities required by smart cities based on scenarios and form services to avoid duplication of low-level construction.

3. Valuation: starting from the value scenario of breaking through traditional urban governance services and promoting urban industrial development, to plan the path of smart city construction.

As an important element of a smart city, data is not simply piled up, but needs to be effectively connected and deeply integrated. From the perspective of resources, big data is a unique new strategic resource, and data is also a mixture of new resources, new technologies and new ideas. At present, the whole world is beginning to re-examine the value of data. In the era of digital cities, what is more important is not to map from the physical age to the virtual age, but how to use the acquired data to reverse to the city, and use the data to drive the modernization of urban governance, the intelligence of industrial development, and the convenience of people's livelihood.

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Origin blog.csdn.net/CyberVein/article/details/114522642