The relationship between big data, Internet of Things, and smart cities

The relationship between big data, the Internet of Things, and smart cities

The relationship between big data, the Internet of Things, and smart cities is simply: the development source of big data For the application of Internet of Things technology, and used to support the development of smart cities. As an expansion of Internet applications, Internet of Things technology is in a stage of great development. The Internet of Things is the foundation of smart cities, but the scope of smart cities is broader than the Internet of Things; the measurement indicators of smart cities are reflected by big data, and big data promotes the development of smart cities; the Internet of Things is the catalyst for the generation of big data , big data originates from Internet of Things applications.

China has entered the era of big data

Some people say that big data is coming, but only in the United States, not in China. Tong Fang, who specializes in government data management, views this as: China’s understanding of big data is generally not that in-depth or is different from the United States’ understanding, but it cannot be denied that China has entered the era of big data. Now many ministries and commissions in China are already studying and using big data. The United States has elevated big data to a national strategy. China has not made it clear yet, but it has elevated big data to the same level as national defense, and many ministries and commissions have jointly issued incentives. Our government's sensitivity to big data is rapidly increasing and measures are being taken. Therefore, China has entered the era of big data. This kind of attention is popularized from the government level from top to bottom. It may not have spread to the level of ordinary people, but governments at all levels have already attached great importance to it. Academician Wu Hequan once said: "Our country will generate the largest amount of data in the world, and we must pay attention to the development, utilization and management of big data."

The key to big data is sharing. One of the bottlenecks in the development of smart cities in my country is the information island effect. Various government departments are unwilling to disclose and break down data. This results in the separation of data and the inability to generate in-depth value of the data. Regarding this problem, some government departments also have a clear understanding and have begun to seek solutions, which is driven by their own needs. For example, some government departments were originally unwilling to share their own data, but now they are looking for data exchange partners because they have gradually realized that single data cannot achieve maximum effectiveness, and exchanging data between departments has become a development trend. At the same time, with the development of various aspects and the advancement of policies, many previously undisclosed data have gradually become public, which is a strong support for the development of big data.

Internet of Things technology promotes the development of big data

In terms of the significance of the Internet of Things to big data, Zhao Ying gave an example to illustrate the promotion of big data by Internet of Things technology. After the heavy rains on July 21 last year in Beijing, the government took many solutions. An important manifestation is that the Beijing Municipal Science and Technology Commission quickly established a special fund to improve the emergency management capabilities and information of the two disaster-stricken districts of Fangshan and Mentougou. construction. Tongfang participated in the Mentougou project and helped Mentougou improve its early warning capabilities. Tongfang renovated and upgraded the original emergency platform in Mentougou. For example, for water level monitoring, water level meters are installed under some key overpasses. When the water level reaches a certain level, an early warning will occur, and relevant departments can take some measures accordingly. This is the application of Internet of Things technology.

What is the relationship between Internet of Things technology and big data? When the number of water level gauge points increases, more data will be collected, making it easier to discover some patterns and issue early warnings. This is something that can be done naturally using big data technology. When the number of points is small, the amount of data is not large enough and only part of the problem can be solved. Therefore, precisely because of the Internet of Things, big data is distributed in more and more places, and it is natural to analyze real-time data. Data mining was originally the mining of historical data, but now it is also a trend to mine real-time data, which shows that the technology of the Internet of Things is promoting the development of big data-related technologies.

Big data supports the development of smart cities

City operation signs are quantified through data, but these data are scattered in various government departments. Tongfang’s responsibility is to collect all The department's data on city operation signs helps city managers summarize and analyze the data, and finally manage the quantitative form of city signs, that is, various types of data, for use by government managers.

Every decision made by a government department requires long-term research, and the research data comes from the long-term accumulation of government department operations and city operations. The rapid development of government informatization has caused the government to generate hundreds of terabytes of data. But the data itself has no meaning. Only after certain systematic analysis can the value of the data be exerted. Every detail of a smart city will generate huge amounts of data. At the same time, the basis for the operation of smart cities also comes from in-depth analysis of big data.

On the surface, big data is a series of static data piles, but its essence is a series of regular dynamic processes derived from complex analysis of data. The government department itself has not done such a thing, so enterprises need to support it. Tongfang sees the importance of big data to the operation of the city. Choosing the government as a breakthrough point is a requirement of the development of the situation and is also the unique feature of Tongfang's big data. . It is worth mentioning that Tongfang Big Data does not participate in government decision-making, but only provides data support for government decision-making. Use the intuitive form of data to show the relationship between businesses, use data to express urban development changes and trends, analyze and summarize existing problems in the city, and provide assistance to government departments for decision-making.

The management of urban operation signs also needs the promotion of big data. When big data reflects the signs of urban operation, it does not need to understand the main business and operational processes of urban departments. It is purely from the perspective of data. After analysis by computer software, the data can draw some rules, which has nothing to do with business or business. results, but can fully reflect the correlation between data. From the perspective of big data, driving the development of urban operation signs is a pure computer operation model that can use manpower in the early stage of decision-making. The advantage of this is the quantification and standardization of operations.

Regarding the development of big data, the Internet of Things and smart cities, China’s authoritative information technology expert Wu Hequan, leader of the State Council Internet of Things Leading Group and academician of the Chinese Academy of Engineering, once made a very profound statement: From the Internet of Things to From big data to smart cities, it is a process of "investigating things to gain knowledge" and achieving "unity of knowledge and action" through analysis and decision-making.

Smart cities benefit everyone

Wisdom driven by big data Cities are related to everyone’s life. The most common example is weather forecast. In the past, weather forecasts would only predict the weather, but today's weather forecasts will tell the public more information, such as meteorological index, air pollution index, clothing index, driving safety index, etc., and even whether It is beneficial to exercise, and its impact on hairstyle and makeup is explained. This is a smart life that ordinary people can experience personally. In the future, education, transportation and other aspects related to people's clothing, food, housing and transportation will become smart. In terms of education, we can look at the practice in the United States. Every university in the United States will truthfully display the admission rate, employment rate, and annual salary of graduates. This is very beneficial data support for students to choose school majors. In terms of transportation, how to smooth urban traffic, how to find parking spaces, and which mode of transportation is more convenient and safer are all the future states of smart cities.

When it comes to the future development of smart cities, Zhao Ying said: Smart cities come from smart decision-making, and smart decision-making comes from human wisdom. When everyone is smart, a city will also become smart.

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