Training for medium-sized unmanned aircraft / Resistant to dust and rain / Compatibility of the fuselage / New folding method / High-strength material

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Product Background

Flight Control and Sensor Technology Upgrade: The M6-16 is equipped with high-precision IMU and dual vision systems, supporting centimeter-level positioning and dynamic obstacle avoidance. This technological advancement enables the training scenarios to be divided into modules such as basic control and complex environment adaptation, for example, simulating real combat elements like electromagnetic interference and moving target tracking in the virtual simulation system.
Power System Innovation: Modular battery design and fast charging technology (such as a 16000mAh 6S lithium battery) have increased the drone's endurance to over 30 minutes, meeting the requirements for long-term training. At the same time, the carbon fiber wet molding process reduces the weight of the fuselage and enhances the load-carrying capacity (it is estimated that the M6-16 can carry approximately 10-15kg), supporting applications such as agricultural spraying and material hoisting for industry training.
Multi-UAV Cooperative Technology Maturity: Through the self-organizing time division multiple access protocol (TDMA), the M6-16 can achieve cluster formation flight. The virtual simulation experiment developed by Nanjing University of Aeronautics and Astronautics has verified the cooperative ability of drone clusters in military reconnaissance, power inspection, and other scenarios, promoting the development of advanced skills training.

Agricultural pest control field: The pesticide spraying requires precise control of flight height and speed (such as 5-8 meters for hovering accuracy). The M6-16 can simulate the spraying path planning for different crops. Shanghai Institute of Electrical Engineering purchased drones of similar specifications for course training, to help students master the parameter adjustment of pest control and anti-drift technology.
Emergency rescue field: The special training for the flood season in Wanzhou, Chongqing showed that the drone needs to complete precise drop of life-saving rings (drop point error < 1 meter) and simulation of lifting (load 5-10 kg). The hook design and wind resistance stability (able to withstand 5th-level wind) of the M6-16 meet the training requirements for this type.
Industrial inspection field: The inspection of power lines requires the drone to fly close to the pole (distance 2-3 meters). The laser radar and infrared thermal imaging functions of the M6-16 can simulate the defect detection scenario, training operators to identify insulation damage, conductor overheating and other hazards.
Logistics delivery field: The last-mile delivery needs to cope with complex urban environments. The M6-16's optical flow positioning and obstacle avoidance system can simulate tasks such as passing between buildings and automatic takeoff and landing, optimizing the path planning algorithm training.

University Practical Teaching Requirements: More than 60 universities such as Nanjing University of Science and Technology have adopted virtual simulation experiments. Through M6-16 simulation assembly and debugging, cluster networking and other processes, they have solved the problems of high cost and high risk in traditional training. Shanghai Institute of Electrical Engineering's course packages cover interdisciplinary content such as unmanned aerial vehicles and artificial intelligence, intelligent manufacturing, etc., to cultivate versatile talents.
Qualification Certification and Safety Standards: The "Administrative Measures for Commercial Flight Activities of Civil Unmanned Aircraft" issued by the Civil Aviation Administration of China requires training enterprises to have professional capabilities and promotes the standardization of M6-16 training courses. For example, basic training must cover airspace management regulations, flight safety agreements, etc., to ensure that trainees operate in compliance.
Industry Competitions and Skill Certifications: The National Drone Championship sets multiple competition items such as multi-machine collaboration and emergency rescue. M6-16 is often designated as the training aircraft. Such competitions force training institutions to develop targeted training plans, such as simulating heat imaging reconnaissance and material delivery processes in fire scenarios.

Market size expansion: The market size of drones in China is expected to exceed 100 billion yuan by 2025. The demand for professional pilots in fields such as agriculture and logistics has surged. The four training types of M6-16 (basic, industry, emergency, and advanced) cover more than 80% of the job skill requirements.
Structural shortage of talents: In 2020, the industry talent shortage exceeded 200,000 people, and the skill requirements shifted from single operation to "technology + industry" combined capabilities. Training institutions use M6-16 to develop customized courses, such as training on mapping and modeling combined with AI visual recognition, to meet the needs of smart city construction.
Popularization of virtual simulation technology: The experimental platform jointly developed by Hengduan Virtual Simulation and Nanjing University of Aeronautics and Astronautics uses M6-16 to simulate cluster collaboration and autonomous obstacle avoidance, reducing training costs by 70% while enhancing the ability to handle complex scenarios. This technology has served over 20,000 people and effectively alleviated the problem of insufficient training resources.

Basic Operation Training
Background: The entry barrier for drones has been lowered, but the accident rate remains high (2023 saw a 62% proportion of flight accidents caused by operational errors).
Content: Through M6-16, practice is conducted on takeoff and landing, route planning, emergency forced landing, etc., and combined with the virtual simulation system to simulate sudden situations such as signal loss and motor failure, to cultivate safety awareness.
Industry Application Training
Background: Agricultural pesticide applicators need to master pesticide concentration calculation and terrain adaptive flight; power line inspectors need to identify equipment defect characteristics.
Case: New Seed Agricultural Machinery Company uses M6-16 to conduct spraying training. Through laser radar scanning of the farmland terrain, a three-dimensional map is generated and the flight path is automatically planned.
Emergency Response Training
Background: In the 2024 Chongqing flood disaster, the rescue efficiency of drones was three times higher than traditional methods, but operators need to have precise control capabilities under complex weather conditions.
Content: Simulate night flights and wind and rain interference, train the throwing of life-saving rings (precision error < 0.5 meters) and the hoisting of injured personnel (with a load of 70 kg, the suspension jitter is < 10 cm).
Advanced Skill Training
Background: Technologies such as multi-machine collaboration and AI visual recognition have become the core of industry competition. Companies require operators to have programming and data analysis capabilities.
Case: A security company uses M6-16 to simulate anti-terror reconnaissance. Operators need to write Python scripts to achieve target tracking and data transmission, and optimize communication links to avoid signal conflicts.

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