The work aims to to realize the functions of staff supervision and intelligent inspection for the sorting, packaging, loading and unloading operations of the infield goods in the intelligent logistics system. A fusion indoor personnel localization method based on blue-tooth and pedometer was proposed. The current fingerprint data and pedometer data were got and the algorithm parameters were initialized. Initial prediction of positioning coordinate was finished by estimation of the pedometer scale and direction for the calculation of the variance value of the fingerprint locations. The Kalman gain was calculated with the Kalman filtering to correct the dx and dy directions. According to dx and dy, the prediction value of the positioning coordinate was adjusted as the final location coordinate data to complete the indoor positioning. Integrated with two kinds of data (the blue-tooth fingerprint and pedometer), the location route of the proposed algorithm was quite smooth without location run-out and offset. The method can realize the high-precision personnel locating in the infield environment, and analyze the moving tracks, so as to achieve the staff supervision and efficient and convenient inspection, thus optimizing the operation flow of the transportation packaging and improving the operation and management level of logistics packaging system.