Huawei will survive by patents in the future.

The Ministry of Industry and Information Technology issued "Guiding Opinions on Promoting and Regulating the Development of Civil UAV Manufacturing Industry", pointing out:? Promote the formation of an identifiable, monitorable and traceable technical management and control system for civil drones. The technical means of safety control have been continuously improved. The national safety management and control platform has been basically completed, the enterprise-level supervision platform has basically achieved full coverage, and all civil drone products have been realized? One yard per machine? The automatic recognition rate reaches 100%, which meets the functional requirements of the access control platform? . ? One yard per machine? Different from traditional hardware equipment identification, in the whole life cycle of UAV, UAV is identified and controlled by a set of identification marks. ?

1. From 20 16 to 20 19, the compound annual growth rate of China's UAV market was as high as 73.33%.

According to the data of Prospective Industry Research Institute, from 20 16 to 20 19, the scale of China's UAV market increased year by year, with an average compound annual growth rate of 73.33%. In 20 18, the market size of Chinese UAV was11200 million yuan, up by 98.23% year-on-year. It is preliminarily estimated that the market size is 2188 billion yuan. In 20 18, the domestic industrial UAV market accounted for 54.3%, which was higher than the consumer level of 45.7%. In terms of breakdown, the most widely used field of industrial drones is plant protection (4 1.5%), followed by power inspection (17%) and security (13%). In the future, with the further improvement of automation penetration rate, the application scenarios of industrial drones are expected to be further improved. ?

Second, the control system and method of UAV

The patent abstract shows that the application provides a UAV control system and method. The system includes a task unit, a first action module, a sensor unit, a first functional module, a collaborative computing module, a first response module and the like. The task unit obtains the user's task and splits the task into target actions; The first action module sends the information of the target action to the first function module and the first response module. A sensor unit acquires sensor data corresponding to a target action; The first functional module obtains the target action data, and the collaborative computing module determines the data processing method used by the first functional module to process the action data according to the data processor capability of the AI chip, so as to execute the data processing of the system.

Third, drones involve many signs.

As the basis of UAV application and management, UAV identification has always been attached importance by domestic and foreign industries and standardization organizations, and is the primary condition for UAV development. It is necessary to formulate relevant technical standards, UAV management architecture and processes around UAV identification.

The identification of UAV is not only a simple equipment identification, but also involves the identification of manufacturing, registration, operation and other related links. However, at present, various manufacturers have their own storage methods and locations for various identification marks of drones, and there is no unified standard and specification at present. Most UAV equipment only has some identification marks, so it is impossible to read and track the information of UAV's whole life cycle, and the technical management and control system of UAV's identification, monitoring and traceability is not ideal.

As a new technology product, UAV has developed rapidly in recent years. The number of civilian-grade UAVs is increasing, but most of them belong to unmanned and unmanned flights. Therefore, the relevant standards for drones need to be formulated urgently.