Development and Application of NRT Digital Twins

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1. Background of development of the digital twin

The concept of "twin" NASA's Apollo program。Around 2003, the idea of Digital Twin in Professor Grieves's Product Lifecycle Management course at the University of Michigan；Until 2010, the term "Digital Twin" was in NASA technical reports 。

In recent years, with the development of new information technologies such as the Internet of Things, big data, cloud computing and artificial intelligence, digital twins have also been widely disseminated。The development of digital twins has also experienced three main stages, namelytTechnology accumulation period,Concept DevelopmentandApplication explosion period.

concept

2 What is a digital twin?

To put it simply, a digital twin is the digitization of physical objects, Form a mapping relationship between the physical world and the virtual world, and use real-time data of the physical, historical data of the digital, algorithmic models, and so on to simulate, verify, predict, and control the full life cycle of the physics entity.

Digital twin technology generally includesRemake,Run in real timeandFeedback systemThree major elements.

⚪   The physical parameters are digitalized and visualized by modeling technology to achieve the mastery of the global model .

⚪ The real-time data of the sensor is transmitted through the network to realize the dynamic data management of the model and the control of the whole life cycle .

⚪ Through intelligent algorithms , the decision-making of timely information generation is made , the prediction and guidance of future scenarios are provided , and the feedback is returned to the physical entity end to achieve a complete closed-loop link .

characteristics

3 characteristics of digital twins

Clone Mapping

Physical objects in the real world and virtual objects in the digital world one-to-one mapping

Real-time synchronization

Based on real-time data from various sensors in the physical world, the digital world can reflect its changes in real time.

The symbiotic evolution

Digital twins are constantly updated with the life cycle of physical objects.

Closing loop optimization

Through technologies such as big data, artificial intelligence, and simulation, closed looping of the functions of reasoning, decision-making and other physical entities is achieved.

User Scenario

4 Digital twin application scenarios

Smart city

Digital twin + urban management

Data collected by various sensors in the city (weather environment, Topography, infrastructure, human flow, logistics, vehicle flow, etc. are transmitted to the digital world through the network, building high-precision urban information models, showing physical urban information "one picture," and realizing the refinement and dynamic management of the city in real time.

Smart showrooms

Digital twin + building management

The sensor is used to collect all kinds of data (personnel dynamic message, security, elevator state in service, etc.) in the physical world, and then the collected data are fused to realize the real-time, dynamic, intelligent and visual administration in the digital world.

NRT Patrol

Digital twin + maintenance management

Through the model of lightweight equipment + publicly operated vehicles, real-time acquisition of roadway disease data is carried out, a three-dimensional digital model of the whole area is established, and information such as patrol equipment and patrol data is displayed in real time.

Smart Transportation

Digital twin + traffic management

Connect traffic data collected in real time from the physical world to traffic models built in the digital world, Using big data, artificial intelligence, traffic simulation and other technologies to accurately perceive the traffic situation, real-time analysis, scientific decision making, program evaluation, etc., to solve a series of problems in the whole life cycle of traffic planning, design, construction, management and operation.

Traffic Status Detection

By obtaining real-time data from sensors, the traffic volume, average speed, road traffic events, and so on are automatically analyzed. Assist users in obtaining comprehensive knowledge of road traffic conditions and providing strong support for business decisions.

Intersection signal light detection

Through real-time data from traffic lights, video surveillance, and other means, real-time monitoring of traffic flow, vehicles, abnormal events on the road, and signal light status can be conducted, and the signal lights can be automatically optimized to effectively improve traffic operation efficiency.

Road Coordinated Services

Based on 5G communication, cloud-edge collaboration and other technologies, it realizes real-time dynamic interaction between vehicles and roads, and builds a more efficient, safer and intelligent digital transportation system.

Smart parks

Digital twin + campus management

Based on multi-source sensor data within the physical campus, the two-way mapping of the physical and digital campuses can be built to dynamically interact. Make the digital park run in parallel with the elements within the physical park (people, monitoring, vehicles, elevators, etc.).

In addition to the above-mentioned fields, many industry sectors such as smart medical care, smart logistics, and smart agriculture are vigorously developing digital twin technologies, and the digital twin application scenario is very broad.