Fan Qing, Deng Qianwang, Liu Qin
College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410000, China.
Central Research Center, Zoomlion Heavy Industry Science & Technology Co., Ltd, Changsha, 410000, China.
Sci Rep. 2024 Sep 20;14(1):21950. doi: 10.1038/s41598-024-72476-y.
To let water jets land at the fire, pitch angle of the fire monitor has to be adjusted manually with successive rounds, which seriously affects the efficiency of fire extinguishing. To improve the efficiency, this paper proposes a technology for water jet trajectory modeling and landing point prediction to help with extinguishing automatically. Considering fragmentation and atomization of water jets, trajectories are analyzed and the predicted trajectory is closer to the real situation. Secondly, a compensation method for the prediction is proposed to further reduce the deviation between the predicted and the actual landing point, taking into account the combined effects of high altitude, initial jet velocity, and wind. On this basis, considering the difficulty of directly solving the analytical solution to the target initial pitch angle of the jets, a searching method is also proposed, which greatly improves the solving efficiency. Finally, through practical experiments and verification, the proposed model takes an average time of 0.00292 s, which is far less compared with other methods. The prediction error is improved by at least 45.3%, and the average deviation is less than 2 m.
为使水射流抵达着火点，消防炮的俯仰角必须在连续几轮中手动调整，这严重影响灭火效率。为提高效率，本文提出一种水射流轨迹建模与落点预测技术，以辅助自动灭火。考虑到水射流的破碎和雾化情况，对轨迹进行分析，使预测轨迹更接近实际情况。其次，提出一种预测补偿方法，考虑高空、初始射流速度和风的综合影响，进一步减小预测落点与实际落点之间的偏差。在此基础上，考虑到直接求解射流目标初始俯仰角解析解的难度，还提出一种搜索方法，大大提高了求解效率。最后，通过实际实验与验证，所提模型平均耗时0.00292秒，与其他方法相比耗时少得多。预测误差至少提高了45.3%，平均偏差小于2米。
