Entradas del foro

rakuiboul hasan
12 abr 2022
In Discusiones generales
In the 1960s, NASA established a complete physical simulation system in the "Apollo Program", and the "twin aircraft" on the ground could rehearse the emergency situations that may be encountered during the lunar landing with the help of simulation technology. In 2010, NASA proposed the concept of "digital twin" for the first time. Through virtualization, simulation technology, and real-time status, historical maintenance, health management and other data of the aircraft, digital technology is used to replace various physical twin objects. Meet the needs of deep space exploration at this stage. The new concept originally born in the aerospace field has set off a new wave in the technology circle. Gartner, which is good at building momentum, listed "digital twin" as one of the top ten technology trends in 2017 and 2018. Many players in the IoT industry quickly sensed the opportunity. As high as 59% of enterprises said in the survey that they have or are implementing digital twin. When the digital twin and the smart city meet, the spark of the application finally detonated, and the digital twin has officially evolved from a technical concept to a new transformation path. The digital twin city is regarded as an upgraded version and a necessary option job title email list of the smart city, which further refreshes the People's imagination space for future cities. 01 A "virtual copy" of the city It is no accident that the concept of digital twins has been adopted by smart cities. Since IBM put forward the concept of "smart planet" in 2008, a wave of smart city construction has sprung up all over the world, and Chinese cities are particularly active at the transition point of urbanization. According to the research report disclosed by Deloitte, the number of pilot smart cities in China has accounted for about 50% of the world. However, the process of smart cities has also encountered some bottlenecks, and even began to deviate from the original intention of intelligence. Some of them are technical. Since smart city projects start from various functional departments or districts and counties, data silos are gradually created in the process of project implementation, so that the so-called innovation is forced to stop on the surface, and the city's governance level Only limited improvement has resulted in many criticized defects such as lack of scheduling of resources, lack of analysis of data, lack of organization of manpower, and inefficiency of network.
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