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CTOnews.com, August 15, the Ministry of Science and Technology issued a notice on supporting the construction of a new generation of artificial intelligence demonstration application scenarios, the first batch of support for the construction of ten demonstration application scenarios, namely, smart farm, smart port, smart mine, smart factory, smart home, smart education, autopilot, intelligent diagnosis and treatment, smart court, intelligent supply chain.

The notice points out that in order to meet the needs of self-driving to further expand from specific roads to conventional roads, key technologies such as high-accurate environmental perception and over-the-horizon information sharing of vehicle-end and road-end sensor fusion, and collaborative decision-making and control of vehicle-cloud integration are used to demonstrate and apply self-driving scenes under complex driving conditions such as intersections, roundabout islands, ramps and so on. Promote the development of highway unmanned logistics, high-level self-driving cars, intelligent network-connected buses, autonomous valet parking and other scenarios.

CTOnews.com attached:

Circular of the Ministry of Science and Technology on supporting the construction of a new generation of artificial intelligence demonstration application scenarios

National Science and Technology issued regulations (2022) No. 228

Science and technology departments (commissions and bureaus) of provinces, autonomous regions, municipalities directly under the Central Government and municipalities separately listed on the State plan, and science and technology bureaus of Xinjiang production and Construction Corps:

In order to accelerate the application of artificial intelligence, help stabilize the economy, and cultivate new economic growth points, according to the "New Generation artificial Intelligence Development Plan" issued by the State Council, in accordance with the "guidance on accelerating scene Innovation and High-level Application of artificial Intelligence to promote High-quality Economic Development" jointly issued by the Ministry of Science and Technology and other six departments, work has been launched to support the construction of a new generation of artificial intelligence demonstration application scenarios. The relevant matters are notified as follows.

I. work objectives

Persist in facing the frontiers of world science and technology, the main battlefield of the economy, the major needs of the country and the life and health of the people, and give full play to the role of artificial intelligence in enabling economic and social development. around the construction of the whole chain and the whole process of artificial intelligence industry application ecology, support a number of well-based artificial intelligence application scenarios, and strengthen the cooperation between upstream and downstream R & D and the integration of new technologies. Create a batch of replicable and popularized benchmarking demonstration application scenarios. The first batch supports the construction of ten demonstration application scenarios.

The first batch of demonstration application scenarios

(1) Wisdom Farm.

Aiming at the production process of crops such as rice, corn, wheat and cotton, this paper focuses on the key operation links such as "ploughing, planting, management and harvest", and applies key technologies such as agricultural intelligent equipment for swarm intelligence autonomous unmanned operation. construct typical scenarios of large-scale operations, such as adaptive perception of farmland soil change, behavior control of agricultural machinery, group real-time cooperation, intelligent farm brain, etc. To achieve intensive, sparse and accurate agricultural planting and management.

(2) Intelligent port.

Aiming at the key business links such as berth, quay crane management, yard and stowage scheduling of large port terminals, key technologies such as intelligent wharf machinery and digital twin integrated production time and space management and control system are used to carry out scenario applications such as automatic ship stowage, automatic operation path and berth plan optimization, cooperative scheduling of horizontal transport vehicles and new rail transit equipment, intelligent yard location, etc. Form an intelligent solution covering terminal operation, operation monitoring and equipment health management, and create a world-class super-large intelligent port.

(3) Intelligent mines.

In order to meet the needs of the development of high quality and safety in China's mines, we focus on mine industry and open-pit mine, and use a new generation of independent controllable information technology, such as artificial intelligence, 5G communication, basic software and so on. build a normal operation demonstration mining face of "digital network connection, unmanned operation, intelligent inspection and remote intervention", carry out the demonstration application of self-driving, shoveling and loading of open-pit mine cars, and reduce personnel and replace personnel through intelligent technology. Improve the essential safety level of China's mining industry in an all-round way.

(4) Intelligent factories.

Aiming at the key business links such as production scheduling, parameter control and equipment health management in process manufacturing and discrete manufacturing plants, the technologies of factory digital twinning, intelligent control and optimal decision-making are comprehensively used to form an intelligent factory solution with industry characteristics, replicable and popularized in the aspects of intelligent decision-making, flexible manufacturing, energy consumption optimization of large-scale equipment, intelligent diagnosis and maintenance of equipment, etc. It is demonstrated and applied in key industries such as chemical industry, iron and steel, electric power, equipment manufacturing and so on.

(5) Smart home.

In order to meet the personalized and intelligent needs of household appliances, diet, accompany and health management in the future, key technologies such as cloud-side intelligent decision-making and active service, scene engine and adaptive perception are used to strengthen the comprehensive demonstration applications such as active reminder, intelligent recommendation, health management and intelligent zero operation. Promote the realization of whole-house integrated intelligent control coverage from individual intelligence to whole-house intelligence, from passive control to active learning, and compatible development of all kinds of intelligent products.

(6) Intelligent education.

Aiming at the key links such as "preparation, teaching, training, testing and management" in youth education, the key technologies such as learning cognitive state perception, intelligent learning without perception and intelligent classroom are used to build an intelligent education basic environment with the integration of reality and reality and cross-platform support, focusing on primary and secondary schools in underdeveloped areas, supporting the demonstration and application of intelligent education, and improving the coverage of high-quality educational resources. To promote the revitalization of rural areas and the implementation of the national education digitization strategy.

(7) autopilot.

In order to meet the needs of self-driving to further expand from specific roads to conventional roads, key technologies such as high accurate environmental perception and over-the-horizon information sharing based on the fusion of vehicle-end and road-end sensors, and collaborative decision-making and control of vehicle-cloud integration are used to demonstrate and apply self-driving scenes under complex driving conditions such as intersections, roundabout islands and ramps. Promote the development of highway unmanned logistics, high-level self-driving cars, intelligent network-connected buses, autonomous valet parking and other scenarios.

(8) Intelligent diagnosis and treatment.

In order to meet the needs of diagnosis and treatment of common diseases, chronic diseases and frequently-occurring diseases, based on intelligent medical infrastructure such as large-scale construction of database and knowledge base in medical field, large-scale medical artificial intelligence model training, using the key technology of evidence-based diagnosis and treatment decision-making of artificial intelligence, a new model of artificial intelligence enabling medical service is established. Focus on county-level hospitals to improve the level of grass-roots medical services.

(9) Wisdom Court.

Aiming at the areas of court business, such as litigation service, trial execution, judicial management and so on, key technologies such as semantic understanding of unstructured text, reasoning of judicial reasoning and intelligent identification of risks are used to strengthen the application and demonstration of intelligent scenarios such as automatic generation of trial transcripts, intelligent push of class cases, automatic generation of judicial documents, adaptive inspection of case files, automatic trial quality evaluation and supervision, etc. Effectively resolve the contradiction between more cases and fewer people, and promote the modernization of the trial system and trial capacity.

(10) Intelligent supply chain.

Aiming at the key links such as intelligent warehousing, intelligent distribution and cold chain transportation, the key technologies such as human-computer interaction, logistics manipulator control, reverse customization, demand forecasting and after-sales tracking are used to optimize the scene-driven intelligent supply chain algorithm. build an intelligent, efficient and collaborative supply chain system, promote the large-scale application of intelligent logistics and supply chain technology, improve product inventory turnover efficiency and reduce logistics costs.

III. Organizing and implementing

The Ministry of Science and Technology takes the achievements of the national science and technology plan as the main foundation, takes the national new generation artificial intelligence innovation development pilot area as the main support, and gives full play to the enterprise role of the national new generation artificial intelligence open innovation platform. Select a number of demonstration application scenarios that support construction.

The local science and technology departments (committees, bureaus) and experimental areas recommend the demonstration application scenarios to the Ministry of Science and Technology to support the construction. After examination and evaluation, the Ministry of Science and Technology determines whether to support it or not, and publicizes and promotes the scenes that meet the construction standards.

Contact and telephone: Xu Qian, Department of Strategic Planning, 010-58881670

Chang Xie, 010-58881615

Ministry of Science and Technology

August 12, 2022

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