Water depth prediction method and system based on time sequence

The invention provides a water depth prediction method and system based on time sequence. At first, a water depth point, which has been measured for many times, is projected to a same position through a proper method, and then subsequent calculation is performed. According to the measured values of a same position in different periods, the future water depth value of the position can be predicted through a weighted average method in time sequence and gradient descent of machine learning. The provided method solves the problem that the positions of multi-time measured data provided by a water depth measuring unit are not overlapped. On the basis of the distance relationships between measured points, the measured points are projected to a same position, then subsequent calculation is carried out, and the future water depth is simply and effectively predicted through a time sequence method. 本发明提供了种基于时间序列的水深预测方法和系统，首先得将多次测量的水深点通过合适的方法映射到同个位置上，再进行之后的计算。根据同位置上不同时期的测量值，我们就可以应用时间序列中的加权平均法以及机器学习的梯度下降来对该位置上未来的水深值进行预测。本