"Big data" is a data set with a particularly large volume and data categories

"Big data" is a data set with a particularly large volume and data categories, and such data sets cannot be captured, managed and processed by traditional database tools. "Big data" first refers to data volumes? Large refers to a large data set, usually in 10TB? However, in practical application, many enterprise users put multiple data sets together, which has formed PB-level data volume; Secondly, it refers to the large variety of data, which comes from a variety of data sources, and the types and formats of data are increasingly rich. It has broken through the previously defined structured data category, including semi-structured and unstructured data. Secondly, the speed of data processing is fast, and the real-time processing of data can be achieved even when the amount of data is huge. The last feature is the high authenticity of data. With the interest of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources have been broken, and enterprises increasingly need effective information power to ensure their authenticity and security.

The core difference between the intelligent car and the traditional car lies in the automatic driving assistance system, the intelligent cockpit system and the car networking system. The most obvious features are intelligence, networking and platform. That is, intelligent cars are equipped with intelligent cameras, lidar and other sensing terminals, intelligent operating systems and artificial intelligence chips to realize over-the-horizon data acquisition and automatic driving; Networking means that cars are fully interconnected with people, cars, roads and clouds through on-board units to realize data interconnection; Platform is the realization of vehicle-related services such as traffic management and information services, and gradually migrates to the cloud platform.

The upstream enterprises of the intelligent automobile industry chain include the manufacturing industries of perception, control and communication systems, and their main products include chips, radars, maps, etc. The midstream enterprises include executive system manufacturing industry, and the main products include intelligent central control panel, etc. Downstream is mainly the service industry of development, testing and operation.

In recent years, the state has continuously paid more attention to smart cars, and Shenzhen, Shanghai, Beijing, Chongqing and other places have issued relevant policies to support the development of intelligent networked cars and related industries. Among them, the Regulations of Shenzhen Special Economic Zone on the Administration of Intelligent Networked Vehicles came into effect on August 1st this year. This is the first regulation on the administration of intelligent networked vehicles in China, which clearly defines the access rules, road rights, rights and responsibilities of automatic driving. The Implementation Plan for Accelerating the Innovation and Development of Intelligent Networked Vehicles in Shanghai deploys key areas such as car gauge chip, artificial intelligence algorithm, laser radar, on-board operating system, intelligent computing platform, and drive-by-wire execution system, etc., and promotes supporting construction such as car-road coordination. It is proposed that the industrial scale will reach 500 billion yuan by 2025, and L2 and L3 cars will account for more than 70% of new car production.

It is understood that nearly 30 cities across the country have issued more than 1,000 road test licenses for more than 80 enterprises. High-grade intelligent networked cars have carried out large-scale manned test demonstrations in specific scenes and special areas. In addition, 17 state-level test demonstration zones, 4 state-level vehicle networking pilot zones, and 16 pilot cities for smart city infrastructure and intelligent networked vehicles have been built nationwide. Forty-four provinces and prefecture-level cities have issued detailed implementation rules for road testing, completed more than 3,500 kilometers of intelligent road reconstruction, and built 2 million 5G base stations, expanding from single road testing to regional demonstration, and gradually promoting industrial scale and commercial development.

What other industrial chain stocks are worth looking forward to?

Trees are common plants in our life, but the trees we see are all living green plants. We know that trees can purify the air, but we haven't heard of anything that can be recharged yet! You will be puzzled when you see this title. Of course, this is not a real tree, but a kind of tree shaped solar potted plant. Now, please join us to learn about the tree that can charge!

The solar potted charging tree introduced in the short story was designed by Vivien Muller. The designer made the old-fashioned charger into a tree shaped potted plant, combining practicality with aesthetics, so that the charger no longer looks boring, and it can also add interest to life at home. Several solar panels form the leaves of the solar charging tree. These solar panels are not fixed, but can adjust the direction. Three batteries must be placed in the solar charging tree to make it work. The solar potted charging tree has a USB interface at the bottom of the pot, which can charge the mobile phone. Of course, it also has an LED module, which can be used for lighting. Therefore, the solar charging tree can not only serve as a charger, but also serve as a lighting lamp. It is versatile and highly practical.

Xiao Bian thinks this solar charging tree is good. At present, it is being recognized in indiegogo, but it starts at 199 euros. Xiao Bian thinks it is not cheap!


The intelligent networked car can process the data received by its sensors and accurately control the car, which can effectively reduce the traffic problems caused by drunk driving, speeding and other violations, improve the convenience of travel and realize intelligent transportation. With the development of artificial intelligence technology, smart cars can also effectively help the existing transportation industry to realize innovations such as automatic ports and intelligent freight transportation under closed road sections.At present, the strong support of the policy guides the autonomous driving industry to usher in a rapid development, and the trend of localization substitution brings new opportunities to domestic manufacturers. The field of smart cars is becoming a strategic highland of a new round of scientific and technological revolution and industrial revolution. With the continuous maturity of autonomous driving technology and the improvement of upstream algorithms and chip computing capabilities, the future cost is expected to be further reduced, and the profitability of the industry is expected to be significantly improved. The intelligent networked automobile industry will usher in a golden period of development, and listed companies in related technical fields are also expected to welcome the market: