Method and device for pre-judging number of receptors in scenic spot based on big data platform

The invention discloses a scenic spot reception number pre-judgment method and device based on a big data platform, and the method comprises the steps: obtaining the current tourist amount, the order number of train tickets of a related scenic spot, and the number of times of searching for a certain scenic spot in a map APP in real time through a big data platform, employing a soft measurement modeling method of Just-In-Time Learning, JITL, and carrying out the prediction of the number of passengers in the scenic spot, and carrying out the prediction of the number of passengers in the scenic spot. According to the method, nearest neighbor matching data is searched from historical data for local modeling by using the previous section of data at the current moment, self-adaptive updating and prediction are performed on real-time tourists in a scenic area, and a positive decision-making effect is achieved on the prediction and judgment of the saturation amount of the tourists in the scenic area. 本发明公开了一种基于大数据平台的