深圳市桃源居中澳实验学校国高预科8A班学生于水元所在团队研发的鸟巢巡检AI视觉无人机在牛津全球总决赛答辩现场样机突发故障，无法开机运行。1在这个关键时刻，于水元临危不惧，仅凭图纸、数据与技术逻辑完整讲解了整套无人机设计原理。1最终，该团队获得国际人工智能青少年科技创新大赛全球一等奖和优秀演讲奖。1
这个项目源于一个真实的社会问题：高压输电铁塔上鸟类筑巢引发电网短路。1为解决这一难题，团队开发的无人机涉及机械硬件、3D打印建模、嵌入式开发、飞控调试、端侧AI图像识别等多个领域。1在此之前，团队曾打磨第三版样机，但试飞失败，原因是机身材料过重、电机推重比不足。1此外，该项目团队还曾获得新加坡亚太人工智能青少年科技创新大赛金奖、全国青少年劳动技能与智能设计大赛省赛一等奖及国赛铜奖。1
A student from Shenzhen faced an unexpected crisis during the international finals of the Global Youth Artificial Intelligence Science and Technology Innovation Competition at Oxford when the prototype of the team's bird nest inspection AI visual drone malfunctioned and failed to power on during the presentation1. Rather than abandoning the demonstration, Yu Shuiyuan, a student from Class 8A of Taoyuan China-Australia Experimental School's pre-university program, calmly delivered a comprehensive explanation of the entire drone design principles using only technical drawings, data, and logical reasoning1. The team ultimately secured first prize globally and the Excellent Presentation Award at the competition1.
The bird nest inspection drone project originated from a real-world problem: birds building nests on high-voltage transmission tower components, causing power grid short circuits1. The innovation spans multiple technical domains including mechanical hardware, 3D printing modeling, embedded systems development, flight control tuning, and edge-based AI image recognition1. The team's third-generation prototype had previously failed test flights due to excessive frame weight and insufficient motor thrust ratio1. Prior to the Oxford competition, the project achieved gold medals at the Singapore Asia-Pacific Youth AI Science and Technology Innovation Competition and earned first prize at provincial level and bronze medal at national level in the National Youth Labor Skills and Intelligent Design Competition1.
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