Cutting edge technology

Introduction: This paper analyzes the architecture, key technologies and frontier trends of industrial intelligent networking from the perspective of the development of industrial networking technology from the perspective of the typical application of industrial Internet--the car network. The traffic has made a vision.

This paper discusses the architecture, key technologies and frontier trends of industrial intelligent networking from the perspective of the development of industrial networking technology from the perspective of the typical application of industrial Internet--the car network. Zhilian Transportation has made a vision.

This article is organized by the academician of the Chinese Academy of Engineering and the president of Beijing Institute of Technology, Academician Zhang Jun at the 2019 National Intelligence Industry Summit

With the development of intelligent technology, from the industrial Internet to the industrial Zhilian The web is an inevitable trend. Industrial Intelligent Network is a product of deep integration of a new generation of artificial intelligence technology, knowledge engineering technology and manufacturing industry. It is the core technology of the future industry and the supporting technology of new economic forms.

This paper analyzes the architecture, key technologies and frontier trends of industrial intelligent networking from the perspective of the development of industrial networking technology from the perspective of the typical application of industrial Internet--the car network. Zhilian Transportation has made a vision.

Talk about the Internet of Vehicles

First talk about the concept of car networking, simply speaking, after the vehicle + wireless communication equipment can realize the wireless communication and information exchange of the car-X, car-Internet, The information network platform is used to extract real-time static and dynamic data of the vehicle, and finally the vehicle intelligent control can be realized.

Therefore, the final direction of the development of the Internet of Vehicles is intelligent networked car and road coordination.

Intelligent networked cars require the ability to sense, interact with information and service.

Perception capabilities include both internal perception and external perception. The internal perception is that the vehicle is equipped with sensors, the vehicle operating state parameters are sensed, and the driver's state is measured; the external perception is to obtain surrounding road environment information through sensors such as radar, camera, and GPS.

The ability to exchange information includes the connection with the Internet, the realization of intelligent vehicle control and intelligent traffic control, and the interconnection of vehicles and vehicles, to achieve collision warning, automatic obstacle avoidance, distance maintenance, road sharing The ability to connect the two sides of the car and the car.

The ability of intelligent networked car serviceIt is reflected in the ability of road and road interconnection, that is, it can be connected with roadside equipment to realize transportation management, speed guidance, signal control, construction area reminder, etc.

The road-to-road synergy is to achieve intelligent coordination and cooperation between vehicles and vehicles, and make full use of the time and space resources of the transportation system to reduce accidents and save energy. According to the research results of the US Safety Pilot project, the road-to-vehicle collaboration can reduce the accident rate by 44%; the US NHTSA Research Report mentions that vehicle-assisted technology can achieve energy savings of 39%.

Vehicle-Road Collaborative Architecture

The shortcomings of the existing transportation methods are people's adaptation systems, and there is an urgent need for a “person adaptation system” to a “system adaptation person”.

For example, from Beijing to Qingdao, what time do you have to take a flight? When is the time to get on the bus? We are all adapted to the transportation system. We envision that if the transportation system adapts to people, this is the real artificial intelligence, and artificial intelligence is closely integrated with transportation.

People will face many problems in adapting to the system. It is not easy to give an example from Beijing to Shanghai. Now I think that Shanghai meeting needs to book tickets in advance, then arrive at the subway station, need security check in the subway, and then go to Pudong. The airport, then come down and see if anyone picks up, no one picks up, rides a shared bicycle to the venue, the whole process needs to buy tickets in advance, early arrival, late change, multiple security checks, luggage, etc. Renting, traffic jams, etc. require a series of people to adapt to the transportation system.

We envision, when can we adapt to people? So what is the system to adapt to people? Simply put, everyone can get an integrated transportation travel customization plan when they travel.

Here is an example. For example, from Beijing to Qingdao Convention Center, I bought a ticket and the packaged transportation plan has been generated. For example, the first is the shortest time, the second is the lowest cost, and the other is one. After the plan, you can travel by one ticket. During the trip, you can take a station security check and pass the whole journey. Then you can have a real-time flight or high-speed train. You can leave at the station and avoid waiting. The luggage is also transported by private car. After you arrive in Qingdao, share the rental. According to the vehicle where the baggage has been detected and the friends who went to the Qingdao Convention Center, they will be delivered directly to the destination, and there will be no traffic jams according to the road coordination system.

Everyone enjoys customizationService or diversified personalized service, this is what we think of as “communication travel system adapts to people”. The artificial intelligence and transportation vehicle networking mentioned here is the meaning of the Internet of Vehicles. It is not the traditional people to adapt to the transportation system. Such a subversive understanding of our traffic.

Future Transportation New Technology

The system described above can adapt to people? At present, it is possible, why is it possible? Because there are N (Information Network), B (Big Data), A (Artificial Intelligence AI). The deep integration of next-generation information technology and integrated transportation.

Specifically, it is a networked, self-contained intelligent carrier, a synergistic and intelligent intelligent infrastructure, and a combination of knowledgeable and personalized intelligent operation services. In this way, we can drive us into the Zhilian Transportation Society

Tiandikong Network

First of all, we must first collect, all the information must be perceived, we need to realize the integration of the sky and the network, and lay a very good foundation for collecting all the information. Good network conditions.

Networked system structure: data acquisition/operation decision is faster, more complete, more accurate

Big data

can use big data insight, understanding, prediction complex The evolutionary law in the transportation system uses this evolutionary law to know where to block and where to block, and then to achieve detection.

Therefore, we must do a good job in building a big data infrastructure. It includes a server that can calculate EB-level data centers, PB-level network applications, and tens of billions of records, and a data analysis and display system that can realize the high and low coexistence data values ​​of air traffic control commands, ticket information, and surveillance images. And the ability to achieve cross-domain system convergence, including government resource openness, network resource convergence, system interconnection;

to do a good job in infrastructure, including energy consumption, public health, air pollution and more comprehensive Data presentation is more intuitive; data is more accurate; and intelligent transportation systems with deeper details.

Customized service

"Three-layer four-piece" architecture

To realize the customized service of traffic, the "three-layer four-piece" theoretical architecture system can be adopted.

First of all, "three layers."

The first layer is onThe bottom layer in the picture actually collects ubiquitous networks and various traffic-related information, turning signals into information.

The second layer uses intelligent edge computing, because in the future cars, industrialization and informationization can be realized, and the largest enabling technology is 5G, 5G+ new energy vehicles, which can be qualitatively changed to industry. In the Internet of Things, a supercomput can be placed in such a large network, and the calculation of the car terminal belongs to the edge calculation. With intelligent edge computing, knowledge from knowledge to knowledge and credible knowledge can be realized.

At the third level, we are really able to achieve smart decision-making and service, which is completely diversified.

Therefore, in a brief summary, the first layer is the perception of generalization, the second layer is the networked computing of the edge, and the third layer is the ubiquitous wisdom service.

What technologies are needed to support these three layers? This is going to talk about "four pieces."

First of all, it is self-organizing. This distributed class must be organized by itself, be credible and secure, and be able to interact naturally, and finally achieve group intelligence and optimization.

After the realization of "three-layer four-piece", our traffic will have a revolutionary impact, and finally realize the time allocation standard - minute level, space allocation fine - meter level, excellent service distribution - personal level .

For example, if we transfer to the transportation, the means of transportation we transfer to are all in the hour, and then the minutes are counted; our transfer to the subway is a few hundred meters, sitting on the shared bicycle, playing also It takes dozens of meters and later to the meter level; afterwards, the service we enjoy is no longer a flight of hundreds, but everyone can enjoy customized services.

Here are the three major features of the customized service.

Customized service features - quasi

flexible plan, multi-integration

how to achieve "quasi"? If we have flexible planning and multi-integration, we can use the large-area meteorological and traffic status information to obtain real-time information. After the calculation of the big data system, we can integrate the multi-plan, and our travel plan can be dynamically graded. . Therefore, it is possible to realize the intelligent distribution of the time of land, sea and air. In the end, the resolution of our travel plan can be counted from days to hours.meter. This is more accurate in terms of time.

Customized service features - fine

on-demand matching, cross-border use

The second custom service to achieve spatial "fine", using smart technology By empowering railways, highways, and waterways, they can be intelligent or unmanned, such as unmanned vehicles, unmanned trucks, unmanned aircraft, etc. These intelligent or unmanned vehicles can be collaboratively intelligent. Multi-modal intelligent intelligence realizes the integration and precise matching of the whole process. Finally, the last mile is opened, so that the spatial resolution of the travel itinerary is from the walking distance to the meter level to the meter level.

small scale (meteorological, traffic state) perception -> knowledge map construction -> vehicle index

customized service features - excellent

combination optimization, man-machine Interactive realization of personalized

The third customized service is "excellent", here the intelligent optimization of traffic objects, online and offline personalized recommendations, and diverse interactions, we are likely to achieve personalized traffic The system adapts to the human goal and achieves a leap from group level to individual level in the travel selection service resolution.

From the Internet of Vehicles to the Smart Network

As just mentioned, the combination of artificial intelligence and car networking has subverted our understanding of traffic. We used to adapt to the transportation system. Now we The transportation system can adapt to people. After the transportation system adapts to people, our transfer time to the minute level, walking distance to the meter level, our travel from group to individual, everyone can play. This is the impact of artificial intelligence on the Internet of Vehicles.

Can you do it? Yes, it can be achieved from the Internet of Vehicles to the final autonomous traffic phase. Here is a video demonstration that shows the future operation of the Transportation Smart Network system.

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