On August 15, the Ministry of Science and Technology issued the Notice on Supporting the Construction of a New Generation of Artificial Intelligence Demonstration and Application Scenes (hereinafter referred to as the Notice), which released the first batch of 10 scenarios of artificial intelligence demonstration and application.
The Notice, in accordance with the "Guiding Opinions on Accelerating Scenario Innovation to Promote High-Quality Economic Development with High-Level Application of Artificial Intelligence" (hereinafter referred to as the "Opinions") jointly issued by the Ministry of Science and Technology and six other departments, gives full play to the role of AI in empowering economic and social development, and creates a number of replicable and scalable benchmarking-type demonstration and application scenarios. (For details, see the previous report, "20CM stops! Millions of dollars wind mouth is coming? Six departments out to create a major scene of artificial intelligence!")
The Opinion plans four major artificial intelligence scenarios, in which the cultivation of high-end and efficient intelligent economic scenarios and the construction of safe and convenient intelligent social scenarios have become the main application direction of the 10 pilot scenarios in this Notice.
Specifically, the cultivation of high-end and efficient intelligent economic scenarios covers smart factories, smart farms, smart mines, smart homes, and smart supply chains. And the safe and convenient smart society construction scenarios include smart ports, smart diagnosis and treatment, smart education, smart courts, and automatic driving.
Cultivating a high-end and efficient smart economy
For the process manufacturing industry, discrete manufacturing factories, production scheduling, parameter control, equipment health management and other key business processes, the integrated use of factory digital twins, intelligent control, optimization of decision-making and other technologies, in the production process, intelligent decision-making, flexible manufacturing, optimization of energy consumption of large-scale equipment, Equipment intelligent diagnosis and maintenance and other aspects of the formation of industry-specific, replicable smart factory solutions, in the chemical industry, iron and steel, electric power, equipment manufacturing and other key industries for demonstration and application.
In terms of smart farms, the Notice puts forward, for rice, corn, wheat, cotton and other crops production process, focusing on cultivation, planting, management, harvesting and other key operational links, the use of group-oriented intelligent autonomous unmanned operation of agricultural intelligent equipment and other key technologies, build the adaptive perception of changes in the soil of the farmland, agricultural machinery behavioral control, real-time collaboration of the group, the intelligent farm brain and other large-scale operation of typical scenes, to achieve the agricultural planting and management of the management of typical scenarios, to achieve the agricultural planting and management of the key industries. The company has been able to realize the intensive, less humanized, and more precise agricultural cultivation and management.
In the field of intelligent mines, the Notice requires that, in view of the demand for high-quality and safe development of China's mines, focusing on shaft mines and open-pit mines, using a new generation of independently controllable information technology such as artificial intelligence, 5G communications, basic software, and other new-generation information technology, to build a digital network connection, unmanned operation, intelligent inspection, remote intervention of the normal operation of the digging face, to carry out the demonstration application of the unmanned operation of mining vehicles in open-pit mines, the shoveling, loading, and transportation. Cooperative autonomous operation demonstration application, through intelligent technology to reduce and replace people, comprehensively enhance the level of essential safety in China's mining industry.
In terms of smart home, the Notice puts forward, for the future of family life, home appliances, diet, accompaniment, health management and other personalized, intelligent needs, the use of cloud-side intelligent decision-making and active services, scene engine and adaptive perception and other key technologies, to strengthen the active reminder, intelligent recommendation, health management, intelligent zero operation and other comprehensive demonstration applications, and to promote the realization of the intelligent from the single intelligent to the whole-house smart, passive control to active learning, various types of intelligent, and to promote the realization of the intelligent, intelligent, intelligent, intelligent, intelligent, intelligent, intelligent, intelligent, intelligent, intelligent, intelligent, intelligent and intelligent. Passive control to active learning, all kinds of intelligent products compatible development of the whole house integrated intelligent control coverage.
In terms of intelligent supply chain, for the key links such as intelligent storage, intelligent distribution, cold chain transportation, etc., the use of human-machine interaction, logistics robotic arm control, reverse customization, demand forecast and after-sales tracking, etc., to optimize the scene-driven intelligent supply chain algorithms, to build an intelligent, efficient and collaborative supply chain system, to promote the large-scale landing and application of intelligent logistics and supply chain technologies, to improve product inventory and turnover efficiency, and to reduce logistics costs. It also promotes the application of intelligent logistics and supply chain technologies on a large scale, improves product inventory turnover efficiency, and reduces logistics costs.
Build a safe and convenient intelligent society
Targeting the key business links such as berths of large terminals in ports, management of shore bridges, and yard and distribution scheduling, the company applies key technologies such as intelligent terminal machinery, digital twin integrated production space-time management and control systems to carry out the automated distribution of ships, automatic operation path and berth plan optimization, and the coordinated use of horizontal transportation vehicles and new rail transportation equipment. It will carry out automatic ship loading, automatic operation path and berth plan optimization, cooperative scheduling of horizontal transportation vehicles and new rail transportation equipment, intelligent yard selection and other scenarios, form intelligent solutions covering terminal operation, operation monitoring and equipment health management, and build a world-class mega-intelligent port.
Intelligent diagnosis and treatment, for common diseases, chronic diseases, multiple diseases and other diagnosis and treatment needs, based on the medical field database knowledge base scale construction, large-scale medical AI model training and other intelligent medical infrastructure, the use of AI can be based on evidence-based diagnosis and treatment decision-making medical key technologies, the establishment of AI-enabled health care services in a new mode. Focusing on county-level hospitals, it will enhance the level of primary healthcare services.
For the key links in youth education such as preparation, teaching, practice, testing and management, the Notice points out that the use of learning cognitive state perception, non-perceptual off-site lectures, smart learning and smart classrooms and other key technologies, to build a virtual-reality fusion and cross-platform support for intelligent education infrastructure environment, focusing on primary and middle schools in underdeveloped areas, to support the development of intelligent education demonstration applications, to enhance the coverage of high-quality education resources, to help rural revitalization and national education.
Autonomous driving as an important direction of the current development of the automotive industry, the "Notice" has also made plans for automatic driving from specific roads to conventional roads to further expand the demand for the use of vehicle-side and road-side sensor fusion of high-accuracy environmental sensing and ultra-vision range information **** enjoyment, the vehicle, road and cloud integration of collaborative decision-making and control of key technologies, to carry out the intersections, traffic circles, ramps and other complex driving Demonstration and application of autonomous driving scenarios under the conditions of intersections, roundabouts, ramps and other complex driving conditions, and promote the development of highway unmanned logistics, high-level self-driving cars, intelligent Internet-connected buses, autonomous valet parking and other scenarios.
Intelligent courts, for litigation services, trial execution, judicial management and other court business areas, the use of semantic understanding of unstructured text, decision reasoning analysis and reasoning, intelligent identification of risks and other key technologies, to strengthen the automatic generation of trial transcripts, intelligent pushing of cases, the whole case by the wisdom of the energy adjudication assistance, the fully automated generation of adjudicative documents, adaptive inspection of the case file, the automated evaluation of the quality and effectiveness of the trial and supervision of intelligent scene application demonstration. The application of intelligent scenarios, such as demonstration, can effectively resolve the contradiction between the number of cases and the number of people, and promote the modernization of the trial system and trial capacity.
Artificial Intelligence application potential, market size to be developed
Habibi Research Institute report shows that China's AI enterprise application market size in 2022 to maintain a high growth trend, the overall market size of 1.87 trillion yuan, the compound growth rate of 2021-2025 to reach 31.5%. 2022 China's Artificial Intelligence software and application market size is about 47.2 billion yuan, accounting for only 2.5% of AI enterprise applications, indicating that the current penetration rate of AI technology and applications in enterprise scenarios is still relatively low, and there is a large potential space in the future.
In the field of automated driving, Guohai Securities research report pointed out that the continued development of automated driving, body sensing sensors, LiDAR, etc. is expected to benefit. Automotive sensors is to realize the core hardware of single-vehicle driving, in which the body perception sensors can realize the perception of the car's own information and make decisions, implementation, environmental perception sensors are responsible for capturing external information and provide to the automotive computer system for planning and decision-making, is the basis of the unmanned intelligent perception system, including LIDAR, on-board camera, millimeter-wave radar, ultrasonic radar and so on. With the release of the "self-driving car transportation safety service guidelines (trial)" (draft), China's self-driving related policy system is expected to step up to a new level, on-board sensors as the realization of the core components of the function of automatic driving is expected to benefit.
And for intelligent diagnosis and treatment, the Prospect Industry Research Institute report pointed out that AI medical imaging is mainly used in the medical and health market and big health scene, in the medical and health market is mainly used to assist doctors to carry out disease monitoring and diagnosis, big health scene is mainly used for health risk assessment. Based on the two scenarios, China's AI medical imaging market size is expected to grow from 820 million yuan in 2021 to nearly 23 billion yuan in 2027. With the growing demand for medical imaging in the national healthcare system and the shortage of imaging doctors in China, the application of AI can greatly improve the inefficiency of medical image analysis.
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