The invention discloses a positioning method and
system suitable for different network signals in a cross-border transportation scene, and belongs to the technical field of cross-border logistics transportation cargo positioning. The method comprises the following steps: receiving a
signal during network switching, carrying out
weight distribution on the
signal during network switching, carrying out weighted calculation on the network
signal with the weight through a weighted summation
algorithm to serve as the input of a BP neural network, outputting the
longitude and
latitude of the network signal, and carrying out deviation calculation on the
longitude and
latitude of the network signal and the
longitude and
latitude of a pre-stored fixed
landmark, and positioning adapting to different network
modes in a cross-border transportation scene is obtained. According to the method, the signal characteristics of 2G, 3G, 4G and 5G networks are fused, a
machine learning model is combined, and the positioning weight is dynamically adjusted according to the
signal quality in the network switching process, so that the positioning process is not interrupted when the equipment is switched among different networks, reliable positioning is realized by integrating the advantages of multiple networks, powerful support is provided for
informatization management of cross-border transportation, and the method is suitable for popularization and application. And the positioning accuracy is improved.