The invention discloses an intelligent data prediction method and device, computer equipment and a storage medium, and the method comprises the steps: periodically obtaining the monitoring data of a plurality of sensing nodes for the state of a target object, and enabling the monitoring data of all sensing nodes to form a data set in space-time joint distribution; obtaining a training set from thedata set, and constructing a prediction model corresponding to each sensing node; training the prediction model by using the training set, and establishing a mapping relationship between the monitoring data of each sensing node and the monitoring data of other sensing nodes; carrying out predicting by using the trained prediction model to obtain a prediction monitoring value of each sensing node;and realizing fault diagnosis of each sensing node according to the difference between the predicted monitoring value of each sensing node and the actual monitoring value acquired by the sensing node. According to the method, prediction is realized according to the internal relevance of the data of each sensing node, so that fault diagnosis of the sensing nodes is realized, and the method can bewidely applied to industrial/agricultural Internet of Things and analysis of various big data.