First, the vigorous trend and unique charm of unmanned technologyTraditional industries in Northeast China, such as industry and agriculture, occupy an important position in the economy. Unmanned technology can inject new vitality into traditional industries. In industrial production, unmanned forklifts can improve the efficiency of cargo handling, and drones can be used for safety inspection of factories. In agriculture, in addition to the previously mentioned UAV plant protection operations, unmanned irrigation systems can also be used to improve irrigation efficiency. These applications are helpful to improve the production efficiency and competitiveness of traditional industries in Northeast China and make traditional industries better adapt to the requirements of modern markets.Second, the demand for economic development in Northeast China and the opportunity for unmanned technology to meet
2. Enhance the competitiveness of traditional industriesSummary: Unmanned technologies such as unmanned aircraft, unmanned driving, unmanned shops, unmanned hotels and unmanned banks have great potential and have many points of convergence with the needs of economic development in Northeast China. Despite the challenges of technology adaptation to the environment, market awareness and talent reserve in the process of helping the economic development in Northeast China, unmanned technology can become a powerful driving force to promote the economic development in Northeast China and provide new development opportunities for the revitalization of the old industrial bases in Northeast China as long as active coping strategies are adopted, such as optimizing technology, strengthening publicity and talent training.2. Shortcomings of market cognition and talent reserve
2. Enhance the competitiveness of traditional industries3. Promote the development of emerging industriesDriverless technology is gradually maturing. For Northeast China, its vast area and cold climate have special requirements for transportation. Driverless technology can be applied to logistics and transportation. In the long winter in Northeast China, the road conditions are complex and changeable. Driverless trucks can reduce the risks caused by driver fatigue and misjudgment of road conditions. At the same time, in urban traffic, the promotion of driverless cars can optimize traffic flow and reduce congestion. For example, in some big cities in Northeast China, such as Harbin and Shenyang, traffic congestion affects the efficiency of economic operation to a certain extent, and driverless technology is expected to improve this situation.