The Ministry of Industry and Information Technology issued the "Guiding Opinions on Promoting and Standardizing the Development of Civilian UAV Manufacturing", stating: "Promote the formation of a technical management and control system that can identify, monitor, and trace civil UAVs." Safety management and control technical means are continuously improved. The national-level safety management and control platform has been basically established, the enterprise-level supervision platform has basically achieved full coverage, and all civilian drone products have achieved "one machine, one code", with an automatic recognition rate of 100%, meeting the functional requirements for access to the control platform. ?One machine, one code? is different from traditional hardware equipment identification. It uses a set of identity marks to identify and control drones throughout their life cycle. ?
1. From 2016 to 2019, the average annual compound growth rate of my country’s drone market was as high as 73.33
Data from the Qianzhan Industry Research Institute shows: my country’s drone market size from 2016 to 2019 Growing year by year, the average annual compound growth rate is as high as 73.33. In 2018, the size of my country's drone market was 11.2 billion yuan, a year-on-year increase of 98.23. It is initially estimated that the market size in 2019 will be around 18.8 billion yuan. In 2018, the domestic industrial-grade drone market accounted for 54.3%, which was higher than the consumer-grade drone market share of 45.7%. Broken down, the most widely used field of industrial drones is plant protection (41.5), followed by power inspection (17) and security (13). In the future, as the penetration rate of automation further increases, the application scenarios of industrial drones are expected to further increase. ?
2. UAV control system and method
The patent summary shows that this application provides a UAV control system and method. The system includes: a task unit, The first action module, the sensor unit, the first functional module, the collaborative computing module, the first response module, etc. Among them, 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. The sensor unit obtains sensor data corresponding to the 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 based on the data processor capability of the AI ??chip. The AI ??chip is used to Perform system data processing.
3. UAVs involve many aspects of identification
UAV identity identification, as the basis for UAV application and management, has been valued by domestic and foreign industries and standardization organizations. It is an indispensable The first condition for the development of man-machine is to formulate relevant technical standards around drone identity, the structure and process of drone management, etc.
UAV identification is not only a simple equipment identification, but also involves identification in many aspects such as production and manufacturing, registration and filing, use and operation. However, currently, each manufacturer has its own way and location of saving various identification marks of drones, and there are no unified standards and specifications. Most drone equipment only has partial marks, and it is impossible to complete the complete identification of drones. In terms of life cycle information reading and tracking, the identification, monitorability, and traceability of drones’ technical management and control systems are far from ideal.
As an emerging technological product, drones have developed rapidly in recent years. The number of civilian drones is increasing, but most of them are unmonitored and unmanaged flights. Therefore, relevant standards for drones are urgently needed to be formulated.