As a new type of production factor, the vigorous development of big data will bring about changes in productivity and production relations. With the development of information technology and the rapid popularization of mobile Internet, more and more data can be collected and stored, and big data technology has been more and more widely used. The construction of "smart city" stems from the combination of information and cities. In the era of big data, smart cities have obvious data characteristics.
On the one hand, the construction of a smart city is inseparable from the support of a new generation of information technology, and a large amount of data will inevitably be generated in the process of technology application. On the other hand, the construction of smart cities needs to play the role of these data. From improving the level of government governance to development, smart medical care, smart education and smart transportation are inseparable from the collection, classification, analysis and application of various data in the city.
1. Data problems in the construction of smart cities
The two goals of smart city construction are "smart society" and "digital country", and the ultimate goal is to better meet the development needs of human society. Although the new smart city has made considerable progress after several years of development, there are still some fundamental problems, including unclear development paths, insufficient data sharing, poor application experience, and institutional mechanisms.
(1) The degree of connection between organizations is low, and information islands appear.
In the process of building smart cities, various places pursue their own interests excessively and seek to build a single project without considering efficiency and cost issues, resulting in a lack of connection between each other and a lack of science before construction. Reasonable overall planning and demonstration, no emphasis on cooperation during the construction period, no emergency plan after construction.
From a technical point of view, the core part of a smart city is big data, but the operation of a big data center faces many problems, including big data, multiple data, mixed data and different types of data. The data center of the smart city is responsible for the data service functions of various industries. Correspondingly, there is a great demand for data processing, storage and processing, which is different from traditional one-dimensional servers. Communication data items are different from data circulation interfaces. Technically, a large number of data sources are extensive, coupled with lack of standardization, low interconnection and many other disadvantages, which increase the cost of smart city construction and operation, and time-consuming and laborious collection.
Moreover, traditional one-dimensional data services are difficult to achieve fast and high-quality analysis and prediction. The island phenomenon among various data makes it impossible to connect organically between various systems, thus weakening the prevention and early warning functions in the early warning system construction.
(2) The data circulation process is complex and inefficient
In the smart city construction system, data sources are extensive. Different data such as medical data, traffic data, and government data should be reasonably ordered, stored and analyzed according to different categories, and the source attributes of different data must be different. The direction of data circulation is a bottom-up pyramid, which requires multiple levels of "screening and analysis" before the center makes a decision, which increases time costs and reduces efficiency.
Especially in terms of intelligent security and intelligent transportation, the system can only realize storage, sharing and security, but cannot perform accurate, timely and effective analysis. Therefore, it is difficult to solve problems such as safety accidents and traffic jams in major events in urban construction.
(3) Data collection is mainly passive, and user participation is insufficient.
It is difficult to synchronize the functions of the smart city system with user needs in traditional data collection, and there is a large gap, and it is difficult to closely connect users with the construction of demand functions. The reason is that the equipment coverage rate is high, the data collection is difficult, the public participation is low, and it is difficult to achieve the purpose of people-centered. The construction of smart cities requires a lot of government investment, and subsequent operations also require government intervention.
If the government is fully responsible for the construction of smart cities, it will weaken the enthusiasm of all parties to participate, and it is easy to generate reverse feedback incentives, and resource investment will not produce corresponding social benefits. At the same time, the government lacks role models for promoting healthy smart city development. It does not proactively provide information and increases the effective investment in buying data. It does not provide enough incentives for businesses and individuals to actively share information and share data. Without taking the lead in demonstrating, it is difficult to achieve a good effect that one plus one is greater than two.
2. Blockchain empowers smart cities to develop
Smart cities are increasingly valued by the government and the people. According to data from the United Nations, from 2020 to 2024, the smart city market (including energy, healthcare and security) is expected to grow at a rate of 23 % annual growth rate, totaling about $2.1 trillion. Advanced technologies, including blockchain, can play a key role in addressing these social issues and enabling effective urban management. Blockchain enables network participants to exchange data with a high degree of reliability and transparency without the need for a highly centralized administrator. Cities have various stakeholders, and data exchange among stakeholders is crucial for highly convenient urban services.
As an emerging technology, blockchain has great application potential in many fields of new smart cities. In terms of infrastructure, combined with the construction of new smart cities, explore the realization of empowerment in the fields of information infrastructure, smart transportation, energy and electricity, and improve the level of intelligence and precision of urban management. In terms of data resources, the blockchain is expected to break the original data circulation and sharing barriers, provide high-quality data sharing guarantees, improve data management and control capabilities, and improve data security protection capabilities. In terms of smart applications, the blockchain will focus on smart city application scenarios such as services for the benefit of the people, precise governance, ecological livability, and industrial economy, and will give birth to new smart city application services.
3. Conclusion
Blockchain has the characteristics of anonymity, self-trust, non-tampering, and traceability. It can realize privacy protection under big data, make data authentic and credible, and effectively solve the core problem of smart city problems - lack of Authentic and reliable data.
Innovative enterprises take big data as the core, collect, store, develop, and analyze data with huge quantities, scattered sources, diverse formats, and types to realize data value and capitalization, discover new knowledge, create new value, and improve The new generation of information technology and service formats with new capabilities make smart cities "thousands of faces". Therefore, accelerating the development of the technology combining "blockchain + big data" and innovatively building a smart city ecosystem will inject new vitality into the healthy development of my country's smart cities.
Remarks: This article does not constitute any investment advice, the market is risky, and investment needs to be cautious.
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