The invention discloses a blind calibration method for data drift of a distributed wireless sensor network and solves the technical problems that the wireless sensor network data drift blind calibration process has high requirements on the environment, has many restrictions and is easy to fail. The method comprises the following steps: determining a distributed wireless sensor network; collectingcalibration network model parameter training data; establishing a distributed data drift blind calibration model and training model parameters; collecting data in real time; and each node continuouslyacquires measurement data in real time to perform data blind calibration until the node energy is exhausted, thereby completing the blind calibration process of the distributed network. Distributed implementation is adopted, independent execution is performed at each distributed node, interactive calibration among the nodes is not needed, the network load is reduced, and the problem that the calibration method of the network fails when part of the nodes in the network fail is avoided. By recovering the actual signal, the calibration precision is higher, and the training is faster; easy engineering implementation. The method is used for data drift blind calibration of the wireless sensor network.