With the adventages of the 5G era, the Internet of goods, cloud computing, big data and other technologies have developed rapidly. The information infrastructure is increasingly perfect, and global spatiotemporal big data has exploded. In such an era, how to realize the intelligence of spatial perception and spatial cognition, push the correct data, information, and knowledge to the right people at the right time and place, and realize the real-time intelligent service of spatial information?
5G is the fifth-generation mobile communication technology. The theoretical download speed of 5G can reach 20GB / s, which is 20 times that of the 4G era. If 4G changes life, 5G will change the whole society; if 4G serves people, 5G supports the interconnection of all things.5G has three typical technical characteristics: 5G can provide enhanced mobile bandwidth; massive machine communication; ultra-high reliability and low-latency communication. With these three characteristics, high-definition video, VR, AR, or interactive reality can be realized, which can realize smart logistics, environmental intelligent supervision, smart city or smart city computing, and can be applied to autonomous driving, robot unmanned operation, industrial Internet, telemedicine, smart grid.
Typical vertical industry applications of 5G: For example, video recognition analysis, including face recognition, motion detection, and real-time monitoring of panoramas, with 5G, video recognition can be real-time. VR / AR virtual display and augmented reality can achieve presentable roaming. Everyone wearing smart glasses can read newspapers and make phone calls. Industrial IoT applications, including smart manufacturing, smart medical, and drone communications. The Internet of Vehicles is applied in the field of intelligent transportation, and a car-assisted and safe driving system can be established to improve traffic efficiency.The development of the 5G industry should focus on the development of core components and typical demonstration applications. The application of vertical industries is facing a problem of cross-border integration. Operators need to study how to reduce costs when building networks in 5G. Because 5G base stations are very dense, construction costs are very high. How to reduce costs and solve its application innovation problems is a difficult point for the development of the 5G industry.
5G cannot cover all land, and land only accounts for 29% of the earth, so 5G needs to be supplemented by 6G satellite communications.6G technology is a combination of terrestrial wireless communication technology, medium and high orbit satellite mobile communication technology, and short-range direct communication technology. It solves communication, computing, navigation, and perception problems, and establishes air, space, earth, and sea ubiquitous mobile Communication network, high-speed broadband network with global coverage.
In other words, 6G is a ubiquitous mobile communication network that involves a lot of data. Satellites, airships, airplanes, drones, vehicles on the ground, unmanned vehicles, etc. all generate data, data recorded by mobile phone trajectories, data recorded by video trajectories, positioning data, credit card data ... These constitute the trajectory of a city Big Data.
In the 5G era, geospatial information services can be socialized and popularized. Spatial information services must move from two-dimensional to real-world three-dimensional. Compared with 2D, the 3D information is complete, the voice information is rich, and the spatial relationship is accurate. The 3D real scene model is a variety of accurate 3D geometric information of indoor and outdoor, ground, underground, water, and underwater, rich voice data information, accurate A spatial data mart that expresses spatial relationships in details. It is intuitive to express and easy to layer. It is used for various spatial analysis and auxiliary decision-making. It intelligently expresses three-dimensional data that integrates data, structure, and function, so it is a complete Data model.
The key to establishing a realistic 3D data model with accurate location, uniform reference, rich attributes, and complete data is the acquisition of accurate spatial information, the enhancement of multi-dimensional spatial big data, the structural extraction of system-wide status factors, and the reconstruction of institutionalized voice models on demand. The workload is much larger than before. There are various data acquisition methods for satellite, motorboat, aircraft, unmanned aerial vehicle, ground mobile system, mobile phone and other data collection platforms to solve the three-dimensional combination of air and space.
5G signal simulation depends on three-dimensional models, high-definition driving maps rely on three-dimensional models, urban fine management, visual analysis and so on need to use three-dimensional real-world models. To build an efficient observation method for the three-dimensional master bedroom in the sky, use artificial intelligence, 5G network, and cloud computing blockchain technology to improve the level of massive data processing and intelligence, use three-dimensional models for intelligent driving signal simulation, and refined urban management. Promotion and application.
Drone video data can be used for real-time target detection and tracking. The data is transmitted quickly using 5G, and it can detect moving targets and process while receiving and tracking. The road-recognition robot can do 3D modeling data collection, can automatically climb stairs, can automatically avoid obstacles, and realize the integration of sensing, measurement, control, and perception, making such a device into a very small device There is a Beidou GPS chip, a communication chip, a light guide and an image sensor on it. Together, they can drive a car instead of a person and put it on a self-driving car.
I want to use big data. For example, Wuhan City manages three or four million cars, 4.5 million drivers, and more than 50,000 roads. There will be a lot of data on the three-dimensional real-world map. It is necessary to grasp intelligent and popular applications.
In the future, 5G and 6G will have full global coverage, realizing one-star multi-use, multi-star networking, and multi-network integrated intelligent services. I hope to solve the problem of enhancing the guidance of the substance, improving the level of autonomous driving to the decimeter level, and even to the centimeter level. I can feel the response time of five minutes in the decimeter level, and the global broadband full coverage communication In the era of 5G and artificial intelligence, do a good job of real three-dimensional reality, build China ’s independent real-time intelligent service system for integrated air and space information through navigation and remote control, and do a good job of automatic, intelligent, social, popular and real-time services of spatial information. The geospatial informatics of the Center for Surveying, Mapping, Remote Sensing and Geographic Information Technology has a very broad path to innovation and development and a bright future.
Facing the advent of the era of big data, the application of artificial intelligence to geospatial informatics can improve the cognitive ability of geospatial information processing, and enable geospatial informatics to quickly process the acquired data, extract useful information, and drive corresponding applications. In near-Earth outer space, in the process of developing from digital earth to smart earth, the spatial resolution, spectral resolution, and temporal resolution of Earth observation satellites have been continuously improved. Countries have launched research and development of high-resolution remote sensing satellites. upsurge. China has also successively launched resource series, remote sensing series and high-resolution series high-resolution satellites, bringing the number of satellites in orbit to more than 235. They will meet normal needs and fast response, continuous dynamic monitoring based on the needs of specific mission goals.
The Internet of Things is through information identification equipment such as radio frequency identification, infrared sensors, global positioning systems, laser scanners, etc., according to the agreed protocol, to connect any item with the Internet for information exchange and communication to achieve intelligent identification, positioning, A network of tracking, monitoring, and management. Specifically, the sensors are embedded and equipped in various objects such as power grids, railways, bridges, tunnels, highways, buildings, water supply systems, dams, oil and gas pipelines, and are generally connected to form the Internet of Things.The Internet of Things has greatly promoted the construction and development of smart cities, and made it possible for cities to "connect everything". The Internet of Things has enabled cities to have tens of millions of smart sensors. For example, cities in China already have more than 20 million video cameras that can provide continuous images at the PB and EB level.
On the personal scale, as the most popular mobile device, smartphones have great potential in analysis and testing. It comes with more and more sensors: accelerometers, microphones, cameras, gyroscopes, positioning devices, etc., which can be easily obtained Various data and information, such as capturing human behavior data, recording location information, sensing changes in the environment, and even recording and analyzing data for related scientific research, becoming ubiquitous, everyone-owned mass sensors, and becoming the most popular in people's lives Electronic equipment.
Therefore, it is completely feasible to form three highly intelligent systems of earth observation brain, smart city brain, and smart phone brain on the macro, meso, and micro scales of earth space. The Earth-observing brain on a macro-scale is an intelligent space-based information that simulates the brain's perception and cognitive processes by integrating communication, navigation, and remote sensing satellites into an integrated network, and combining it with artificial intelligence and cloud computing. Real-time service system. Use on-orbit image processing technology, on-board data calculation and analysis technology to process and analyze the acquired data information, and then through the fusion of the inter-satellite communication link and the heaven and earth communication network, transfer them to the intelligence of any object in the world that needs service terminal.
Spatial cognition on the meso-scale is the brain of a smart city. It is a network of digital cities that automatically and real-timely collects big data on the status and changes of people and things in real cities through various sensors of the Internet of Things. Using intelligent means such as artificial intelligence and data mining, the cloud computing center processes massive and complex calculations to realize the perception, cognition, and control feedback of the city, and provides it for urban emergency, city management, intelligent manufacturing, economic development, and the general public. A city operation management service system for various intelligent services. Spatial cognition on the micro-scale is the brain of a smart phone. It uses accelerometers, microphones, cameras, gyroscopes, positioning devices and human health parameter measuring instruments on mobile phones and smart watches to achieve indoor and outdoor better than 1m. Positioning accuracy, through real-time capture of human behavior data, recording location information, sensing environmental changes, and mobile phone owners' health parameters (blood pressure, blood glucose, blood lipids, heart rate, pulse, ECG) and other data information, Data for context analysis and reasoning. This smartphone brain can analyze the behavior, health, physiology and psychology of the phone holder, and can become the owner's intelligent assistant.
Earth observation brain, smart city brain, and smart phone brain are our new understanding of brain cognition and the realization of a new leap in spatial cognition. It is a new mission for the development of geospatial information science. It requires the vast number of researchers to devote to space-time big data and artificial intelligence. In the research of integrated innovation, he has made due contributions to the development of various earth observation brains, smart city brains and smart phone brains.