The invention relates to a wireless sensor network technology, and discloses an abnormal data analysis method and a wireless sensor node. The abnormal data analysis method comprises the following steps: S1, after a reading xt is obtained at a moment t by a node i, and whether the xt is an abnormal value or not is judged according to all readings in the current window, if yes, a step S2 is executed, and if no, a step S3 is executed; S2, readings of k neighbor nodes are obtained at the moment t by the node i, and the cause of the abnormal value of the xt is judged accordingly, if the cause is resulted from hardware or software errors, a step S4 is executed, otherwise, a step S5 is executed; S3, the xt is stored by the node I; S4, the xt is divorced from the node i; and S5, the xt is sent to a base station by the node i. The node comprises a data acquisition module, an abnormal data analysis module, a storage module and a wireless communication module. According to the technical scheme, the computation is finished within the neighbourhood of the node, so that the network flow expense is reduced; and by the use of the space-time relevance of data, the abnormal value is detected automatically, the cause of the abnormal value is analyzed, and the misdeclaration and false declaration events are avoided.