基于信号监测和人工智能的电厂转子自动吊装系统

Automatic hoisting system of power plant rotor based on signal monitoring and artificial intelligence

为避免转子吊装过程产生碰撞,需要对其运动轨迹进行合理控制,设计了基于信号监测和人工智能的电厂转子自动吊装系统。首先采集和处理轨迹数据信息,采用信号监测技术提取转子轴心运动轨迹,运动旋量广义斜率定义自动吊装过程,然后选择的两组规划点W1和W2为测试距离,利用本系统对转子进行起吊规划,使其能够从W1位置向W2位置平稳通过,最后设置垂直面和水平面两种测试路径,在本系统的应用下,可以保证各关节点的角度和角速度以及加速度,均处于平滑状态,没有出现角突变引起运动不平稳现象。

In order to avoid collision during rotor hoisting, it is necessary to reasonably control its motion trajectory, and design the automatic hoisting system of power plant rotor based on signal monitoring and artificial intelligence. Collect and process the track data information, extract the rotor axis motion track by using the signal monitoring technology, define the automatic lifting process by using the generalized slope of the motion spinor, select the two groups of planning points W1 and W2 as the test distance, and the system in this paper is used to plan the lifting of the rotor, so that it can pass smoothly from W1 to W2. Under the application of this system, the angle, angular velocity and acceleration of each joint point can be ensured to be in a smooth state, and there is no unstable movement caused by angle mutation.