The invention relates to the technical field of underwater rescue robots, in particular to an underwater rescue robot based on radar recognition and a neural network algorithm, which comprises a deformation support mechanism, a power mechanism, a telescopic mechanism and a first-aid device, a plurality of power mechanisms are mounted on the deformation supporting mechanism; the telescopic mechanism is fixedly installed in the middle of the upper portion of the deformation supporting mechanism, the first-aid device is fixedly installed below the deformation supporting mechanism, the overall structure of the rescue robot is changed into two states, the size is reduced for the narrow environment, and therefore the optimal path can be selected for rescue; by reducing the size, detection and preliminary first aid work can be carried out in the environment that many lifeguards cannot directly rescue; intelligent path calculation is carried out through cooperation of radar identification and a neural network algorithm; the size of the deformation supporting mechanism is enlarged, so that the contact area of the power mechanism and water is enlarged, the moving speed is increased, and the rescue time is further shortened.
本发明涉及水下救援机器人技术领域,具体涉及一种基于雷达识别和神经网络算法的水下救援机器人,包括变形支撑机构、动力机构、伸缩机构和急救装置;所述变形支撑机构上安装有多个动力机构;所述伸缩机构固定安装在所述变形支撑机构的上部中间处,所述急救装置固定安装在所述变形支撑机构下方,本发明通过对救援机器人的整体结构实现两种状态的变化,针对狭隘环境缩小体积从而可以选择最优选的路径进行救援;通过缩小体积还可以在很多救生员无法直接救援的环境下进行探测和初步急救工作;通过雷达识别配合神经网络算法进行智能路径计算;变形支撑机构体积变大导致动力机构和水的接触面积变大,使得移动速度变快,进一步缩短救援时间。
Underwater rescue robot based on radar identification and neural network algorithm
一种基于雷达识别和神经网络算法的水下救援机器人
2023-10-17
Patent
Electronic Resource
Chinese