More than 100 pilot cities, AI leads the new trend

2022-09-23
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More than 100 pilot cities led by artificial intelligence are vying to deploy smart cities to technology giants

on March 21, JD smart city conference was held, and JD city was officially upgraded to the first-class strategic business of JD group. Jd.com also officially released the urban operating system on the same day, which will use artificial intelligence technology to provide intelligent solutions for urban and social construction

under the guidance of new technologies such as artificial intelligence, the construction of smart cities is constantly upgrading, which has also attracted the competing layout of technology giants including jd.com, Baidu, Tencent and Alibaba. According to incomplete statistics, the above giants have signed contracts with dozens to hundreds of cities. Industry insiders pointed out that the construction of smart cities will generate huge market demand for new technologies such as big data and artificial intelligence, and the prospects of related industries are broad. However, there are still certain risks and difficulties in data security and rational utilization, and more perfect solutions are urgently needed

artificial intelligence leads the new trend

this is a city where everything is interconnected, that is, on the physical level, all kinds of sensors and information are connected; This is a city of data sharing. This data is not simple informatization, but can play its value after deep excavation; This is also an ecological city. The consumption composition of MDI in China is: 30% for household appliances, 15% for slurry, 12% for building insulation, 9% for transportation and 34% for others (including adhesives). Ecology refers to both our livable ecology and the ecology of industry. At the JD smart city conference, Zheng Yu, vice president of JD group and President of JD city business department, described his vision and goal of smart city in his mind

the concept of smart city has been put forward for many years. In recent years, the development of smart city has accelerated again. In 2013, the country set up the first batch of National Smart City pilot list. In August 2014, eight ministries and commissions including the national development and Reform Commission and the Ministry of industry and information technology jointly issued the guiding opinions on promoting the healthy development of smart cities, proposing to build a number of smart cities with distinctive characteristics by 2020. According to the report of super smart city released by Deloitte in 2018, there have been 500 pilot smart cities in China, and many smart city clusters such as the Yangtze River Delta and the Pearl River Delta have been formed. This year, Guangdong Hong Kong Macao Greater Bay District, Shanghai, Tianjin and other places have also clearly proposed to speed up the construction of smart cities

insiders said that in the early construction of smart cities, computer software and hardware technology and network communication technology played a major role. In the next step of smart city to smart city, big data and artificial intelligence will play a core value. In September, 2018, the world artificial intelligence conference proposed that China is committed to achieving high-quality development, and the development and application of artificial intelligence will effectively improve the intelligent level of economic and social development, and effectively enhance public services and urban management capabilities

the development of smart cities in China can be divided into four stages. The first stage is electronization, the second stage is networking, the third stage is informatization, and the fourth stage is intellectualization. The first three stages belong to smart cities. Smart cities mainly focus on infrastructure construction and informatization, and the driving force of technology comes from computer software and network communication. On this basis, smart cities emphasize the application of new technologies such as big data and artificial intelligence in urban construction and operation, build urban operating systems, provide intelligent solutions for the construction of smart cities and smart societies, and make people's lives better. Zheng Yu said

technology giants compete for layout

under the new trend of intellectualization, the construction of smart cities has spawned a huge market demand for new technologies such as big data and artificial intelligence, and technology giants compete for the market. At present, Baidu, Tencent, Alibaba and other enterprises have created a number of demonstration projects in the field of intelligent transportation, and jd.com has focused on creating intelligent solutions for urban credit with the urban operating system as the core

at present, intelligent transportation is the main driving force of major technology giants. Baidu focuses on autonomous driving and promotes industries including intelligent transportation and intelligent travel. At present, it has built a number of demonstration projects with dozens of urban areas such as Beijing and Shanghai. Robin Lee, chairman and CEO of Baidu, previously said that next, Baidu will operate the first batch of self driving taxis in Changsha on a large scale, and expand its layout in the fields of self driving commercial operation and smart road reconstruction. Tencent mainly promotes Tencent ride code. In December last year, Tencent signed a contract with Chongqing passenger ropeway company to release the ride code of Chongqing Yangtze River ropeway. Rapid transit and convenient payment are realized in the bus scene. At present, the bus code has been applied in more than 100 cities across the country, and more than 50 million users have opened it. Alibaba mainly promotes Alibaba et urban brain, which uses urban data to optimize public resources, mainly for intelligent transportation management, and has been applied in Hangzhou, Suzhou, Shanghai, Quzhou and other places

jd.com focused on releasing intelligent solutions for urban credit at the conference. Zheng Yu said that jd.com has formed a three-tier product array of urban computing platform, specific products and scenario solutions with the urban operating system as the core. Among them, scenario solutions include credit City, A. pay attention to wipe the contact parts, i+ industry planning, smart parking, smart Park and smart city app. According to him, as a key promotion plan, credit cities will be promoted in 20 cities across the country this year, four or five of which are already in the process of implementation. The construction of China's social credit system is facing problems such as imperfect credit reporting system and lack of credit standards and norms. Jd.com breaks through the traditional independent credit model only for individuals, provides top-level intelligent credit solutions for individuals, enterprises and urban management departments, breaks through the data barriers between various entities, and designs unique machine learning algorithms for different credit scenarios, Achieve a complete portrayal of the city's credit portrait

cities need an ecosystem, and it is impossible to solve all the problems in cities by one company alone. It is impossible for the whole city to fall into a fragmented island of information, with chimneys built by each. Zheng Yu said that in the future, more partners will be attracted to jointly build an industrial ecosystem of smart cities and jointly promote the process of urban intellectualization in China

there are still difficulties in data security and utilization

it is worth noting that in the process of the development of smart cities to intellectualization, they also face many challenges. Among them, data fusion, data security, lack of talents and other issues are becoming the pain points of intelligent city construction, and need more perfect solutions

the 2018 Research Report on the development and practice of new smart cities jointly prepared by the China Academy of information and communications and the Institute of software, Chinese Academy of Sciences pointed out that in order to break the data bottleneck in the construction of smart cities, it is necessary to build and improve the data service system and realize the sharing of important data according to department functions and needs. According to the responsibilities of the Department, form a sharing mechanism according to responsibilities and needs, and clarify whether it should be shared, whether it has been shared, whether it is used in compliance with requirements and other key links. At the same time, build a master database to solve the problem of data fragmentation. Realize the organic correlation of business object information of various departments, fields and industries, and comprehensively build a regional government information resource database

Zheng Yu said that how to give consideration to data fusion and data security at the same time is a major challenge in the construction of smart cities. We should break down information islands and data barriers, but at the same time, we should ensure data security. According to its introduction, at present, jd.com's digital customs technology can achieve knowledge sharing based on user privacy protection, so that all servers and data can not be sent out of various departments and companies

in addition, the lack of talents is also the weakness of the current smart city construction. We need a large number of compound talents who understand both big data AI and traditional industries, especially transportation, environment, energy consumption, e-government and other industries. Only by organically combining these knowledge with our AI and big data can we really solve the problem. It is difficult to cultivate such compound talents by relying solely on Colleges and universities. Zheng Yu said that to get rid of the talent shortage, we should cultivate a group of compound talents with real data and real projects through the mechanism of industry university research integration

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